code stringlengths 114 1.05M | path stringlengths 3 312 | quality_prob float64 0.5 0.99 | learning_prob float64 0.2 1 | filename stringlengths 3 168 | kind stringclasses 1
value |
|---|---|---|---|---|---|
from collections import OrderedDict
import contextlib
import gym
from gym.spaces import Space
import numpy as np
from typing import Dict, List, Any, Union
from ray.rllib.models.preprocessors import get_preprocessor, RepeatedValuesPreprocessor
from ray.rllib.models.repeated_values import RepeatedValues
from ray.rllib.p... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/models/modelv2.py | 0.949902 | 0.513912 | modelv2.py | pypi |
from gym.spaces import Box, Discrete, MultiDiscrete
import numpy as np
import tree # pip install dm_tree
from ray.rllib.models.catalog import ModelCatalog
from ray.rllib.models.modelv2 import ModelV2, restore_original_dimensions
from ray.rllib.models.tf.misc import normc_initializer
from ray.rllib.models.tf.tf_modelv... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/models/tf/complex_input_net.py | 0.878399 | 0.352035 | complex_input_net.py | pypi |
import numpy as np
from typing import Tuple, Any, Optional
from ray.rllib.utils.framework import try_import_tf
from ray.rllib.utils.typing import TensorType
tf1, tf, tfv = try_import_tf()
def normc_initializer(std: float = 1.0) -> Any:
def _initializer(shape, dtype=None, partition_info=None):
out = np.r... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/models/tf/misc.py | 0.932168 | 0.513607 | misc.py | pypi |
import contextlib
import gym
import re
from typing import Dict, List, Union
from ray.util import log_once
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.utils.annotations import override, PublicAPI
from ray.rllib.utils.deprecation import deprecation_warning
from ray.rllib.utils.framework import try_import... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/models/tf/tf_modelv2.py | 0.903194 | 0.283868 | tf_modelv2.py | pypi |
import gym
from gym.spaces import Box, Discrete, MultiDiscrete
import numpy as np
import tree # pip install dm_tree
from typing import Any, Dict, Optional, Type, Union
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.models.tf.layers import (
GRUGate,
RelativeMultiHeadAttention,
SkipConnection,... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/models/tf/attention_net.py | 0.906291 | 0.46035 | attention_net.py | pypi |
import numpy as np
import gym
from typing import Dict, Optional, Sequence
from ray.rllib.models.tf.misc import normc_initializer
from ray.rllib.models.tf.tf_modelv2 import TFModelV2
from ray.rllib.models.utils import get_activation_fn
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.utils.framework... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/models/tf/fcnet.py | 0.842992 | 0.313308 | fcnet.py | pypi |
import gym
from typing import Dict, List, Optional, Sequence
from ray.rllib.models.tf.tf_modelv2 import TFModelV2
from ray.rllib.models.tf.misc import normc_initializer
from ray.rllib.models.utils import get_activation_fn, get_filter_config
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.utils.fra... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/models/tf/visionnet.py | 0.864825 | 0.398114 | visionnet.py | pypi |
import numpy as np
from ray.rllib.models.utils import get_activation_fn
from ray.rllib.utils.framework import (
get_variable,
try_import_tf,
TensorType,
TensorShape,
)
tf1, tf, tfv = try_import_tf()
class NoisyLayer(tf.keras.layers.Layer if tf else object):
"""A Layer that adds learnable Noise t... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/models/tf/layers/noisy_layer.py | 0.873768 | 0.691523 | noisy_layer.py | pypi |
from typing import Optional
from ray.rllib.utils.framework import try_import_tf
from ray.rllib.utils.typing import TensorType
tf1, tf, tfv = try_import_tf()
class RelativeMultiHeadAttention(tf.keras.layers.Layer if tf else object):
"""A RelativeMultiHeadAttention layer as described in [3].
Uses segment lev... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/models/tf/layers/relative_multi_head_attention.py | 0.96217 | 0.544135 | relative_multi_head_attention.py | pypi |
import time
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.utils.annotations import override
from ray.rllib.utils.framework import try_import_jax, try_import_tfp
from ray.rllib.utils.typing import TensorType, List
jax, flax = try_import_jax()
tf... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/models/jax/jax_action_dist.py | 0.920705 | 0.477128 | jax_action_dist.py | pypi |
import time
from typing import Callable, Optional
from ray.rllib.utils.framework import get_activation_fn, try_import_jax
jax, flax = try_import_jax()
nn = np = None
if flax:
import flax.linen as nn
import jax.numpy as np
class SlimFC:
"""Simple JAX version of a fully connected layer."""
def __init... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/models/jax/misc.py | 0.937683 | 0.27523 | misc.py | pypi |
import logging
import numpy as np
import time
from ray.rllib.models.jax.jax_modelv2 import JAXModelV2
from ray.rllib.models.jax.misc import SlimFC
from ray.rllib.utils.annotations import override
from ray.rllib.utils.framework import try_import_jax
jax, flax = try_import_jax()
logger = logging.getLogger(__name__)
... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/models/jax/fcnet.py | 0.852076 | 0.305451 | fcnet.py | pypi |
import numpy as np
from typing import Union, Tuple, Any, List
from ray.rllib.models.utils import get_activation_fn
from ray.rllib.utils.framework import try_import_torch
from ray.rllib.utils.typing import TensorType
torch, nn = try_import_torch()
def normc_initializer(std: float = 1.0) -> Any:
def initializer(t... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/models/torch/misc.py | 0.961642 | 0.533944 | misc.py | pypi |
import gym
from gym.spaces import Box, Discrete, MultiDiscrete
import numpy as np
import tree # pip install dm_tree
from typing import Dict, Optional, Union
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.models.torch.misc import SlimFC
from ray.rllib.models.torch.modules import (
GRUGate,
Relativ... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/models/torch/attention_net.py | 0.954616 | 0.364749 | attention_net.py | pypi |
import logging
import numpy as np
import gym
from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
from ray.rllib.models.torch.misc import SlimFC, AppendBiasLayer, normc_initializer
from ray.rllib.utils.annotations import override
from ray.rllib.utils.framework import try_import_torch
from ray.rllib.utils.typi... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/models/torch/fcnet.py | 0.916379 | 0.299681 | fcnet.py | pypi |
import gym
from typing import Dict, List, Union
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.utils.annotations import override, PublicAPI
from ray.rllib.utils.framework import try_import_torch
from ray.rllib.utils.typing import ModelConfigDict, TensorType
_, nn = try_import_torch()
@PublicAPI
class T... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/models/torch/torch_modelv2.py | 0.919022 | 0.325735 | torch_modelv2.py | pypi |
import numpy as np
from typing import Dict, List
import gym
from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
from ray.rllib.models.torch.misc import (
normc_initializer,
same_padding,
SlimConv2d,
SlimFC,
)
from ray.rllib.models.utils import get_activation_fn, get_filter_config
from ray.rll... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/models/torch/visionnet.py | 0.945801 | 0.36018 | visionnet.py | pypi |
from ray.rllib.utils.framework import try_import_torch
from ray.rllib.models.torch.misc import SlimFC
from ray.rllib.utils.torch_utils import sequence_mask
from ray.rllib.utils.framework import TensorType
torch, nn = try_import_torch()
class MultiHeadAttention(nn.Module):
"""A multi-head attention layer describe... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/models/torch/modules/multi_head_attention.py | 0.919841 | 0.458531 | multi_head_attention.py | pypi |
import numpy as np
from ray.rllib.models.utils import get_activation_fn
from ray.rllib.utils.framework import try_import_torch, TensorType
torch, nn = try_import_torch()
class NoisyLayer(nn.Module):
"""A Layer that adds learnable Noise to some previous layer's outputs.
Consists of:
- a common dense lay... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/models/torch/modules/noisy_layer.py | 0.950583 | 0.69109 | noisy_layer.py | pypi |
from typing import Union
from ray.rllib.utils.framework import try_import_torch
from ray.rllib.models.torch.misc import SlimFC
from ray.rllib.utils.torch_utils import sequence_mask
from ray.rllib.utils.typing import TensorType
torch, nn = try_import_torch()
class RelativePositionEmbedding(nn.Module):
"""Creates... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/models/torch/modules/relative_multi_head_attention.py | 0.967241 | 0.555375 | relative_multi_head_attention.py | pypi |
from ray.rllib.utils.framework import try_import_torch
from ray.rllib.utils.framework import TensorType
torch, nn = try_import_torch()
class GRUGate(nn.Module):
"""Implements a gated recurrent unit for use in AttentionNet"""
def __init__(self, dim: int, init_bias: int = 0.0, **kwargs):
"""
i... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/models/torch/modules/gru_gate.py | 0.947271 | 0.453746 | gru_gate.py | pypi |
from typing import Tuple
from ray.rllib.models.torch.misc import Reshape
from ray.rllib.models.utils import get_activation_fn, get_initializer
from ray.rllib.utils.framework import try_import_torch
torch, nn = try_import_torch()
if torch:
import torch.distributions as td
class ConvTranspose2DStack(nn.Module):
... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/models/torch/modules/convtranspose2d_stack.py | 0.96543 | 0.488344 | convtranspose2d_stack.py | pypi |
import logging
import numpy as np
import math
from typing import Dict, List, Tuple, Any
import ray
from ray.rllib.evaluation.worker_set import WorkerSet
from ray.rllib.execution.common import (
AGENT_STEPS_TRAINED_COUNTER,
APPLY_GRADS_TIMER,
COMPUTE_GRADS_TIMER,
LAST_TARGET_UPDATE_TS,
LEARN_ON_BATC... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/execution/train_ops.py | 0.848408 | 0.195345 | train_ops.py | pypi |
import copy
from six.moves import queue
import threading
from typing import Dict, Optional
from ray.rllib.evaluation.rollout_worker import RolloutWorker
from ray.rllib.execution.buffers.minibatch_buffer import MinibatchBuffer
from ray.rllib.utils.framework import try_import_tf
from ray.rllib.utils.metrics.learner_info... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/execution/learner_thread.py | 0.887131 | 0.150029 | learner_thread.py | pypi |
import logging
from typing import Any, Callable, DefaultDict, Dict, List, Optional, Set
import ray
from ray.actor import ActorHandle
from ray.rllib.utils.annotations import ExperimentalAPI
logger = logging.getLogger(__name__)
@ExperimentalAPI
def asynchronous_parallel_requests(
remote_requests_in_flight: Defaul... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/execution/parallel_requests.py | 0.919168 | 0.317611 | parallel_requests.py | pypi |
from typing import List, Any, Optional
import random
from ray.actor import ActorHandle
from ray.util.iter import from_actors, LocalIterator, _NextValueNotReady
from ray.util.iter_metrics import SharedMetrics
from ray.rllib.execution.buffers.replay_buffer import warn_replay_capacity
from ray.rllib.execution.buffers.mul... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/execution/replay_ops.py | 0.92657 | 0.26162 | replay_ops.py | pypi |
import logging
import time
from typing import Callable, Container, List, Optional, Tuple, TYPE_CHECKING
import ray
from ray.rllib.evaluation.rollout_worker import get_global_worker
from ray.rllib.evaluation.worker_set import WorkerSet
from ray.rllib.execution.common import (
AGENT_STEPS_SAMPLED_COUNTER,
STEPS_... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/execution/rollout_ops.py | 0.942221 | 0.212436 | rollout_ops.py | pypi |
from typing import Any, Dict, List, Optional
import time
from ray.actor import ActorHandle
from ray.util.iter import LocalIterator
from ray.rllib.evaluation.metrics import collect_episodes, summarize_episodes
from ray.rllib.execution.common import (
AGENT_STEPS_SAMPLED_COUNTER,
STEPS_SAMPLED_COUNTER,
STEPS... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/execution/metric_ops.py | 0.946411 | 0.308613 | metric_ops.py | pypi |
from typing import List, Optional, Any
import queue
from ray.util.iter import LocalIterator, _NextValueNotReady
from ray.util.iter_metrics import SharedMetrics
from ray.rllib.utils.typing import SampleBatchType
def Concurrently(
ops: List[LocalIterator],
*,
mode: str = "round_robin",
output_indexes: ... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/execution/concurrency_ops.py | 0.952574 | 0.433862 | concurrency_ops.py | pypi |
import logging
import platform
from typing import List, Dict, Any
import ray
from ray.rllib.evaluation.worker_set import WorkerSet
from ray.rllib.execution.common import (
AGENT_STEPS_SAMPLED_COUNTER,
STEPS_SAMPLED_COUNTER,
_get_shared_metrics,
)
from ray.rllib.execution.replay_ops import MixInReplay
from ... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/execution/tree_agg.py | 0.863909 | 0.19569 | tree_agg.py | pypi |
import operator
from typing import Any, Optional
class SegmentTree:
"""A Segment Tree data structure.
https://en.wikipedia.org/wiki/Segment_tree
Can be used as regular array, but with two important differences:
a) Setting an item's value is slightly slower. It is O(lg capacity),
instead ... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/execution/segment_tree.py | 0.943932 | 0.841109 | segment_tree.py | pypi |
import logging
from six.moves import queue
import threading
from ray.rllib.execution.learner_thread import LearnerThread
from ray.rllib.execution.buffers.minibatch_buffer import MinibatchBuffer
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.utils.annotations import override
from ray.rllib.utils.d... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/execution/multi_gpu_learner_thread.py | 0.845911 | 0.293082 | multi_gpu_learner_thread.py | pypi |
import logging
import numpy as np
import random
from typing import Any, Dict, List, Optional
# Import ray before psutil will make sure we use psutil's bundled version
import ray # noqa F401
import psutil # noqa E402
from ray.rllib.execution.segment_tree import SumSegmentTree, MinSegmentTree
from ray.rllib.policy.sa... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/execution/buffers/replay_buffer.py | 0.916908 | 0.241512 | replay_buffer.py | pypi |
import collections
import platform
from typing import Any, Dict, Optional
import numpy as np
import ray
from ray.rllib import SampleBatch
from ray.rllib.execution import PrioritizedReplayBuffer, ReplayBuffer
from ray.rllib.execution.buffers.replay_buffer import logger, _ALL_POLICIES
from ray.rllib.policy.rnn_sequencin... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/execution/buffers/multi_agent_replay_buffer.py | 0.946175 | 0.285034 | multi_agent_replay_buffer.py | pypi |
from datetime import datetime
import json
import logging
import numpy as np
import os
from six.moves.urllib.parse import urlparse
import time
try:
from smart_open import smart_open
except ImportError:
smart_open = None
from ray.rllib.policy.sample_batch import MultiAgentBatch
from ray.rllib.offline.io_context... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/offline/json_writer.py | 0.690037 | 0.150278 | json_writer.py | pypi |
from collections import namedtuple
import logging
import numpy as np
from ray.rllib.policy.sample_batch import MultiAgentBatch, SampleBatch
from ray.rllib.policy import Policy
from ray.rllib.utils.annotations import DeveloperAPI
from ray.rllib.offline.io_context import IOContext
from ray.rllib.utils.annotations impor... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/offline/off_policy_estimator.py | 0.971899 | 0.370425 | off_policy_estimator.py | pypi |
import logging
import math
import ray.data
from ray.rllib.offline.input_reader import InputReader
from ray.rllib.offline.io_context import IOContext
from ray.rllib.offline.json_reader import from_json_data
from ray.rllib.utils.annotations import override, PublicAPI
from ray.rllib.utils.typing import SampleBatchType, T... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/offline/dataset_reader.py | 0.855006 | 0.333368 | dataset_reader.py | pypi |
import logging
import os
import time
from ray import data
from ray.rllib.offline.io_context import IOContext
from ray.rllib.offline.json_writer import _to_json_dict
from ray.rllib.offline.output_writer import OutputWriter
from ray.rllib.utils.annotations import override, PublicAPI
from ray.rllib.utils.typing import Sa... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/offline/dataset_writer.py | 0.761716 | 0.228597 | dataset_writer.py | pypi |
from abc import ABCMeta, abstractmethod
import logging
import numpy as np
import threading
from ray.rllib.policy.sample_batch import MultiAgentBatch
from ray.rllib.utils.annotations import PublicAPI
from ray.rllib.utils.framework import try_import_tf
from typing import Dict, List
from ray.rllib.utils.typing import Ten... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/offline/input_reader.py | 0.938477 | 0.275516 | input_reader.py | pypi |
from collections import namedtuple, OrderedDict
import gym
import logging
import re
import tree # pip install dm_tree
from typing import Callable, Dict, List, Optional, Tuple, Type
from ray.util.debug import log_once
from ray.rllib.models.tf.tf_action_dist import TFActionDistribution
from ray.rllib.models.modelv2 imp... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/policy/dynamic_tf_policy.py | 0.957068 | 0.393502 | dynamic_tf_policy.py | pypi |
import gym
import numpy as np
from typing import List, Optional, Union
from ray.rllib.utils.framework import try_import_torch
torch, _ = try_import_torch()
class ViewRequirement:
"""Single view requirement (for one column in an SampleBatch/input_dict).
Policies and ModelV2s return a Dict[str, ViewRequireme... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/policy/view_requirement.py | 0.946892 | 0.586789 | view_requirement.py | pypi |
import gym
from typing import Callable, Dict, List, Optional, Tuple, Type, Union
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.models.torch.torch_action_dist import TorchDistributionWrapper
from ray.rllib.policy.policy import Policy
from ray.rllib.policy.policy_template import build_policy_class
from ray... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/policy/torch_policy_template.py | 0.881653 | 0.377856 | torch_policy_template.py | pypi |
import copy
import functools
import gym
import logging
import math
import numpy as np
import os
import threading
import time
import tree # pip install dm_tree
from typing import (
Any,
Callable,
Dict,
List,
Optional,
Set,
Tuple,
Type,
Union,
TYPE_CHECKING,
)
import ray
from ray... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/policy/torch_policy.py | 0.89277 | 0.303641 | torch_policy.py | pypi |
import gym
from typing import Callable, Dict, List, Optional, Tuple, Type, Union, TYPE_CHECKING
from ray.rllib.models.tf.tf_action_dist import TFActionDistribution
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.policy.dynamic_tf_policy import DynamicTFPolicy
from ray.rllib.policy import eager_tf_policy
fr... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/policy/tf_policy_template.py | 0.941271 | 0.389895 | tf_policy_template.py | pypi |
import errno
import gym
import logging
import math
import numpy as np
import os
import tree # pip install dm_tree
from typing import Dict, List, Optional, Tuple, Union, TYPE_CHECKING
import ray
import ray.experimental.tf_utils
from ray.util.debug import log_once
from ray.rllib.policy.policy import Policy
from ray.rll... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/policy/tf_policy.py | 0.903688 | 0.287843 | tf_policy.py | pypi |
from typing import Dict
from ray.rllib.env import BaseEnv
from ray.rllib.policy import Policy
from ray.rllib.evaluation import Episode, RolloutWorker
from ray.rllib.utils.framework import TensorType
from ray.rllib.utils.typing import AgentID, PolicyID
class ObservationFunction:
"""Interceptor function for rewrit... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/evaluation/observation_function.py | 0.88081 | 0.511168 | observation_function.py | pypi |
import collections
import logging
import numpy as np
from typing import Any, Dict, List, Optional, Tuple, TYPE_CHECKING, Union
import ray
from ray import ObjectRef
from ray.actor import ActorHandle
from ray.rllib.offline.off_policy_estimator import OffPolicyEstimate
from ray.rllib.policy.sample_batch import DEFAULT_PO... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/evaluation/metrics.py | 0.944215 | 0.187504 | metrics.py | pypi |
import collections
import logging
import numpy as np
from typing import List, Any, Dict, Optional, TYPE_CHECKING
from ray.rllib.env.base_env import _DUMMY_AGENT_ID
from ray.rllib.evaluation.episode import Episode
from ray.rllib.policy.policy import Policy
from ray.rllib.policy.sample_batch import SampleBatch, MultiAge... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/evaluation/sample_batch_builder.py | 0.932921 | 0.32888 | sample_batch_builder.py | pypi |
import numpy as np
import scipy.signal
from typing import Dict, Optional
from ray.rllib.evaluation.episode import Episode
from ray.rllib.policy.policy import Policy
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.utils.annotations import DeveloperAPI
from ray.rllib.utils.typing import AgentID
cl... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/evaluation/postprocessing.py | 0.946917 | 0.478833 | postprocessing.py | pypi |
from collections import defaultdict
import numpy as np
import random
import tree # pip install dm_tree
from typing import Any, Callable, Dict, List, Optional, TYPE_CHECKING
from ray.rllib.env.base_env import _DUMMY_AGENT_ID
from ray.rllib.policy.policy_map import PolicyMap
from ray.rllib.utils.annotations import Depr... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/evaluation/episode.py | 0.870975 | 0.270766 | episode.py | pypi |
from abc import abstractmethod, ABCMeta
import logging
from typing import Dict, List, Optional, TYPE_CHECKING, Union
from ray.rllib.evaluation.episode import Episode
from ray.rllib.policy.policy_map import PolicyMap
from ray.rllib.policy.sample_batch import MultiAgentBatch, SampleBatch
from ray.rllib.utils.typing impo... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/evaluation/collectors/sample_collector.py | 0.958943 | 0.396243 | sample_collector.py | pypi |
from six.moves import queue
import gym
import threading
import uuid
from typing import Callable, Tuple, Optional, TYPE_CHECKING
from ray.rllib.env.base_env import BaseEnv
from ray.rllib.utils.annotations import override, PublicAPI
from ray.rllib.utils.typing import (
EnvActionType,
EnvInfoDict,
EnvObsType,... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/env/external_env.py | 0.947149 | 0.346818 | external_env.py | pypi |
import uuid
import gym
from typing import Optional
from ray.rllib.utils.annotations import override, PublicAPI
from ray.rllib.env.external_env import ExternalEnv, _ExternalEnvEpisode
from ray.rllib.utils.typing import MultiAgentDict
@PublicAPI
class ExternalMultiAgentEnv(ExternalEnv):
"""This is the multi-agent ... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/env/external_multi_agent_env.py | 0.930758 | 0.282219 | external_multi_agent_env.py | pypi |
import logging
import threading
import time
from typing import Union, Optional
import ray.cloudpickle as pickle
from ray.rllib.env.external_env import ExternalEnv
from ray.rllib.env.external_multi_agent_env import ExternalMultiAgentEnv
from ray.rllib.env.multi_agent_env import MultiAgentEnv
from ray.rllib.policy.sampl... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/env/policy_client.py | 0.930363 | 0.178884 | policy_client.py | pypi |
import logging
import gym
import numpy as np
from typing import Callable, List, Optional, Tuple, Union, Set
from ray.rllib.env.base_env import BaseEnv, _DUMMY_AGENT_ID
from ray.rllib.utils.annotations import Deprecated, override, PublicAPI
from ray.rllib.utils.typing import (
EnvActionType,
EnvID,
EnvInfoD... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/env/vector_env.py | 0.942586 | 0.605624 | vector_env.py | pypi |
import copy
from typing import Optional
from ray.rllib.utils.annotations import PublicAPI
from ray.rllib.utils.typing import EnvConfigDict
@PublicAPI
class EnvContext(dict):
"""Wraps env configurations to include extra rllib metadata.
These attributes can be used to parameterize environments per process.
... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/env/env_context.py | 0.919022 | 0.336386 | env_context.py | pypi |
from collections import OrderedDict
import gym
from gym.spaces import Dict, Discrete, MultiDiscrete
import numpy as np
from recsim.document import AbstractDocumentSampler
from recsim.simulator import environment, recsim_gym
from recsim.user import AbstractUserModel, AbstractResponse
from typing import Callable, List, O... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/env/wrappers/recsim.py | 0.964606 | 0.532121 | recsim.py | pypi |
import gym
from gym import spaces
import numpy as np
try:
from dm_env import specs
except ImportError:
specs = None
def _convert_spec_to_space(spec):
if isinstance(spec, dict):
return spaces.Dict({k: _convert_spec_to_space(v) for k, v in spec.items()})
if isinstance(spec, specs.DiscreteArray... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/env/wrappers/dm_env_wrapper.py | 0.864053 | 0.373447 | dm_env_wrapper.py | pypi |
from copy import deepcopy
from typing import Any, Dict, Optional, Tuple
try:
import kaggle_environments
except (ImportError, ModuleNotFoundError):
pass
import numpy as np
from gym.spaces import Box
from gym.spaces import Dict as DictSpace
from gym.spaces import Discrete, MultiBinary, MultiDiscrete, Space
from ... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/env/wrappers/kaggle_wrapper.py | 0.937124 | 0.260254 | kaggle_wrapper.py | pypi |
from gym.spaces import Box, Discrete
import numpy as np
import pyspiel
from ray.rllib.env.multi_agent_env import MultiAgentEnv
class OpenSpielEnv(MultiAgentEnv):
def __init__(self, env):
super().__init__()
self.env = env
self._skip_env_checking = True
# Agent IDs are ints, startin... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/env/wrappers/open_spiel.py | 0.750553 | 0.402304 | open_spiel.py | pypi |
from collections import OrderedDict
from ray.rllib.env.multi_agent_env import MultiAgentEnv
# info key for the individual rewards of an agent, for example:
# info: {
# group_1: {
# _group_rewards: [5, -1, 1], # 3 agents in this group
# }
# }
GROUP_REWARDS = "_group_rewards"
# info key for the individual in... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/env/wrappers/group_agents_wrapper.py | 0.858214 | 0.332473 | group_agents_wrapper.py | pypi |
from gym import core, spaces
try:
from dm_env import specs
except ImportError:
specs = None
try:
# Suppress MuJoCo warning (dm_control uses absl logging).
import absl.logging
absl.logging.set_verbosity("error")
from dm_control import suite
except (ImportError, OSError):
suite = None
import... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/env/wrappers/dm_control_wrapper.py | 0.858392 | 0.358915 | dm_control_wrapper.py | pypi |
import logging
import numpy as np
from gym.spaces import Discrete
from ray.rllib.utils.annotations import override
from ray.rllib.env.vector_env import VectorEnv
from ray.rllib.evaluation.rollout_worker import get_global_worker
from ray.rllib.env.base_env import BaseEnv, convert_to_base_env
from ray.rllib.utils.typing ... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/env/wrappers/model_vector_env.py | 0.918238 | 0.48249 | model_vector_env.py | pypi |
from ray.rllib.env.multi_agent_env import MultiAgentEnv
class PettingZooEnv(MultiAgentEnv):
"""An interface to the PettingZoo MARL environment library.
See: https://github.com/Farama-Foundation/PettingZoo
Inherits from MultiAgentEnv and exposes a given AEC
(actor-environment-cycle) game from the Pet... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/env/wrappers/pettingzoo_env.py | 0.836254 | 0.683697 | pettingzoo_env.py | pypi |
from gym.spaces import Box, MultiDiscrete, Tuple as TupleSpace
import logging
import numpy as np
import random
import time
from typing import Callable, Optional, Tuple
from ray.rllib.env.multi_agent_env import MultiAgentEnv
from ray.rllib.policy.policy import PolicySpec
from ray.rllib.utils.typing import MultiAgentDic... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/env/wrappers/unity3d_env.py | 0.9446 | 0.398641 | unity3d_env.py | pypi |
from ray.rllib.utils.annotations import DeveloperAPI
import logging
import time
import base64
import numpy as np
from ray import cloudpickle as pickle
from six import string_types
logger = logging.getLogger(__name__)
try:
import lz4.frame
LZ4_ENABLED = True
except ImportError:
logger.warning(
"l... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/compression.py | 0.489992 | 0.175821 | compression.py | pypi |
import numpy as np
import os
import pprint
import random
from typing import Any, Mapping, Optional
from ray.rllib.policy.sample_batch import SampleBatch, MultiAgentBatch
from ray.rllib.utils.framework import try_import_tf, try_import_torch
_printer = pprint.PrettyPrinter(indent=2, width=60)
def summarize(obj: Any) ... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/debug.py | 0.832934 | 0.282959 | debug.py | pypi |
import gym
from typing import (
Any,
Callable,
Dict,
List,
Optional,
Tuple,
Union,
TypeVar,
TYPE_CHECKING,
)
if TYPE_CHECKING:
from ray.rllib.env.env_context import EnvContext
from ray.rllib.policy.policy import PolicySpec
from ray.rllib.policy.sample_batch import Sample... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/typing.py | 0.927445 | 0.409398 | typing.py | pypi |
from collections import defaultdict, deque
import logging
import platform
from typing import Any, Dict, List, Optional, Sequence, Tuple, Type
import ray
from ray.actor import ActorClass, ActorHandle
from ray.rllib.utils.deprecation import Deprecated
logger = logging.getLogger(__name__)
class TaskPool:
"""Helper... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/actors.py | 0.906591 | 0.186391 | actors.py | pypi |
import logging
import numpy as np
import os
import sys
from typing import Any, Optional
from ray.rllib.utils.deprecation import Deprecated
from ray.rllib.utils.typing import TensorShape, TensorType
logger = logging.getLogger(__name__)
def try_import_jax(error: bool = False):
"""Tries importing JAX and FLAX and ... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/framework.py | 0.819641 | 0.394084 | framework.py | pypi |
import logging
import os
import time
from ray.util.debug import log_once
from ray.rllib.utils.framework import try_import_tf
tf1, tf, tfv = try_import_tf()
logger = logging.getLogger(__name__)
class TFRunBuilder:
"""Used to incrementally build up a TensorFlow run.
This is particularly useful for batching o... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/tf_run_builder.py | 0.539469 | 0.200695 | tf_run_builder.py | pypi |
import logging
import numpy as np
import random
from ray.rllib.policy.sample_batch import SampleBatch, MultiAgentBatch
from ray.rllib.utils.metrics.learner_info import LearnerInfoBuilder
logger = logging.getLogger(__name__)
def standardized(array: np.ndarray):
"""Normalize the values in an array.
Args:
... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/sgd.py | 0.917182 | 0.535584 | sgd.py | pypi |
from ray.rllib.utils.annotations import PublicAPI
@PublicAPI
class UnsupportedSpaceException(Exception):
"""Error for an unsupported action or observation space."""
pass
@PublicAPI
class EnvError(Exception):
"""Error if we encounter an error during RL environment validation."""
pass
# -------
# ... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/error.py | 0.918508 | 0.312409 | error.py | pypi |
import inspect
import logging
from typing import Optional, Union
from ray.util import log_once
logger = logging.getLogger(__name__)
# A constant to use for any configuration that should be deprecated
# (to check, whether this config has actually been assigned a proper value or
# not).
DEPRECATED_VALUE = -1
def dep... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/deprecation.py | 0.882738 | 0.196344 | deprecation.py | pypi |
import contextlib
from functools import partial
from ray.rllib.utils.annotations import override, PublicAPI, DeveloperAPI
from ray.rllib.utils.framework import try_import_tf, try_import_tfp, try_import_torch
from ray.rllib.utils.deprecation import deprecation_warning
from ray.rllib.utils.filter_manager import FilterMa... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/__init__.py | 0.824885 | 0.219672 | __init__.py | pypi |
import gym
from gym.spaces import Discrete, MultiDiscrete
import numpy as np
import os
import tree # pip install dm_tree
from typing import Dict, List, Optional, TYPE_CHECKING
import warnings
from ray.rllib.models.repeated_values import RepeatedValues
from ray.rllib.utils.deprecation import Deprecated
from ray.rllib.... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/torch_utils.py | 0.932875 | 0.484136 | torch_utils.py | pypi |
from ray.rllib.utils.deprecation import Deprecated
def override(cls):
"""Decorator for documenting method overrides.
Args:
cls (type): The superclass that provides the overridden method. If this
cls does not actually have the method, an error is raised.
Examples:
>>> class To... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/annotations.py | 0.963746 | 0.470858 | annotations.py | pypi |
from gym.spaces import Space
import numpy as np
from typing import Union, Optional
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.utils.annotations import override
from ray.rllib.utils.exploration.exploration import Exploration
from ray.rllib.uti... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/exploration/gaussian_noise.py | 0.963014 | 0.536313 | gaussian_noise.py | pypi |
import numpy as np
from typing import Optional, Union
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.utils.annotations import override
from ray.rllib.utils.exploration.gaussian_noise import GaussianNoise
from ray.rllib.utils.framework import (
try_import_tf,
try_import_torch,
ge... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/exploration/ornstein_uhlenbeck_noise.py | 0.947478 | 0.435121 | ornstein_uhlenbeck_noise.py | pypi |
import functools
import gym
import numpy as np
from typing import Optional, Union
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.utils.annotations import override
from ray.rllib.utils.exploration.exploration import Exploration
from ray.rllib.util... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/exploration/stochastic_sampling.py | 0.927978 | 0.519156 | stochastic_sampling.py | pypi |
from gym.spaces import Box, Discrete, Space
import numpy as np
from typing import List, Optional, Union
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.models.catalog import ModelCatalog
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.policy.sample_batch import SampleBatch
from r... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/exploration/random_encoder.py | 0.954837 | 0.504761 | random_encoder.py | pypi |
from gym.spaces import Discrete, Box, MultiDiscrete, Space
import numpy as np
import tree # pip install dm_tree
from typing import Union, Optional
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.utils.annotations import override
from ray.rllib.ut... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/exploration/random.py | 0.951063 | 0.515986 | random.py | pypi |
from typing import Union
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.utils.annotations import override
from ray.rllib.utils.exploration.epsilon_greedy import EpsilonGreedy
from ray.rllib.utils.exploration.exploration import TensorType
from ray.rllib.utils.framework import try_import_tf, ... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/exploration/slate_epsilon_greedy.py | 0.904622 | 0.458227 | slate_epsilon_greedy.py | pypi |
from gym.spaces import Space
from typing import Optional
from ray.rllib.utils.exploration.epsilon_greedy import EpsilonGreedy
from ray.rllib.utils.schedules import ConstantSchedule
class PerWorkerEpsilonGreedy(EpsilonGreedy):
"""A per-worker epsilon-greedy class for distributed algorithms.
Sets the epsilon ... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/exploration/per_worker_epsilon_greedy.py | 0.95452 | 0.470007 | per_worker_epsilon_greedy.py | pypi |
import gym
import numpy as np
import tree # pip install dm_tree
import random
from typing import Union, Optional
from ray.rllib.models.torch.torch_action_dist import TorchMultiActionDistribution
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.utils.annotations import override
from ray.rllib... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/exploration/epsilon_greedy.py | 0.890681 | 0.464294 | epsilon_greedy.py | pypi |
from gym.spaces import Discrete, MultiDiscrete, Space
import numpy as np
from typing import Optional, Tuple, Union
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.models.catalog import ModelCatalog
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.models.tf.tf_action_dist import Ca... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/exploration/curiosity.py | 0.924073 | 0.475849 | curiosity.py | pypi |
from gym.spaces import Space
from typing import Dict, List, Optional, Union, TYPE_CHECKING
from ray.rllib.env.base_env import BaseEnv
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.utils.annot... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/exploration/exploration.py | 0.968336 | 0.37648 | exploration.py | pypi |
from gym.spaces import Box, Discrete
import numpy as np
from typing import Optional, TYPE_CHECKING, Union
from ray.rllib.env.base_env import BaseEnv
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.models.tf.tf_action_dist import Categorical, Deter... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/exploration/parameter_noise.py | 0.935825 | 0.403097 | parameter_noise.py | pypi |
from gym.spaces import Discrete, MultiDiscrete, Space
from typing import Union, Optional
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.models.tf.tf_action_dist import Categorical
from ray.rllib.models.torch.torch_action_dist import TorchCategorical
from ray.rllib.utils.annotations import o... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/exploration/soft_q.py | 0.967656 | 0.476701 | soft_q.py | pypi |
from typing import Callable, List, Optional, Tuple
from ray.rllib.utils.annotations import override
from ray.rllib.utils.framework import try_import_tf
from ray.rllib.utils.schedules.schedule import Schedule
from ray.rllib.utils.typing import TensorType
tf1, tf, tfv = try_import_tf()
def _linear_interpolation(left,... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/schedules/piecewise_schedule.py | 0.959922 | 0.672527 | piecewise_schedule.py | pypi |
from abc import ABCMeta, abstractmethod
from typing import Any, Union
from ray.rllib.utils.annotations import DeveloperAPI
from ray.rllib.utils.framework import try_import_tf
from ray.rllib.utils.typing import TensorType
tf1, tf, tfv = try_import_tf()
@DeveloperAPI
class Schedule(metaclass=ABCMeta):
"""Schedule... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/schedules/schedule.py | 0.956482 | 0.411761 | schedule.py | pypi |
from typing import Optional
from ray.rllib.utils.annotations import override
from ray.rllib.utils.framework import try_import_tf, try_import_torch
from ray.rllib.utils.schedules.schedule import Schedule
from ray.rllib.utils.typing import TensorType
tf1, tf, tfv = try_import_tf()
torch, _ = try_import_torch()
class ... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/schedules/polynomial_schedule.py | 0.960777 | 0.423875 | polynomial_schedule.py | pypi |
from typing import Dict
import logging
import numpy as np
import ray
from ray.rllib.policy.rnn_sequencing import timeslice_along_seq_lens_with_overlap
from ray.rllib.utils.annotations import override, ExperimentalAPI
from ray.rllib.utils.replay_buffers.multi_agent_replay_buffer import (
MultiAgentReplayBuffer,
... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/replay_buffers/multi_agent_prioritized_replay_buffer.py | 0.930663 | 0.237598 | multi_agent_prioritized_replay_buffer.py | pypi |
import logging
import platform
from typing import Any, Dict, List, Optional
import numpy as np
import random
from enum import Enum
from ray.util.debug import log_once
# Import ray before psutil will make sure we use psutil's bundled version
import ray # noqa F401
import psutil # noqa E402
from ray.rllib.policy.samp... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/replay_buffers/replay_buffer.py | 0.960046 | 0.28669 | replay_buffer.py | pypi |
import logging
import collections
from typing import Any, Dict, Optional
from enum import Enum
import ray
from ray.rllib.utils.replay_buffers.replay_buffer import _ALL_POLICIES
from ray.rllib.policy.rnn_sequencing import timeslice_along_seq_lens_with_overlap
from ray.rllib.policy.sample_batch import MultiAgentBatch
fr... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/replay_buffers/multi_agent_replay_buffer.py | 0.93531 | 0.17575 | multi_agent_replay_buffer.py | pypi |
from typing import Any, Dict
import random
# Import ray before psutil will make sure we use psutil's bundled version
import ray # noqa F401
import psutil # noqa E402
from ray.rllib.utils.annotations import ExperimentalAPI, override
from ray.rllib.utils.replay_buffers.replay_buffer import ReplayBuffer
from ray.rllib... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/replay_buffers/reservoir_buffer.py | 0.928311 | 0.266456 | reservoir_buffer.py | pypi |
import random
from typing import Any, Dict, List, Optional
import numpy as np
# Import ray before psutil will make sure we use psutil's bundled version
import ray # noqa F401
import psutil # noqa E402
from ray.rllib.execution.segment_tree import SumSegmentTree, MinSegmentTree
from ray.rllib.policy.sample_batch impo... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/replay_buffers/prioritized_replay_buffer.py | 0.91525 | 0.478102 | prioritized_replay_buffer.py | pypi |
import numpy as np
class WindowStat:
"""Handles/stores incoming datastream and provides window-based statistics.
Examples:
>>> win_stats = WindowStat("level", 3)
>>> win_stats.push(5.0)
>>> win_stats.push(7.0)
>>> win_stats.push(7.0)
>>> win_stats.push(10.0)
>>... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/metrics/window_stat.py | 0.905125 | 0.448547 | window_stat.py | pypi |
from collections import defaultdict
import numpy as np
import tree # pip install dm_tree
from typing import Dict
from ray.rllib.policy.sample_batch import DEFAULT_POLICY_ID
from ray.rllib.utils.typing import PolicyID
# Instant metrics (keys for metrics.info).
LEARNER_INFO = "learner"
# By convention, metrics from op... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/metrics/learner_info.py | 0.891652 | 0.247157 | learner_info.py | pypi |
import gym
from gym.spaces import Tuple, Dict
import numpy as np
from ray.rllib.utils.annotations import DeveloperAPI
import tree # pip install dm_tree
from typing import Any, List, Optional, Union
def flatten_space(space: gym.Space) -> List[gym.Space]:
"""Flattens a gym.Space into its primitive components.
... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/utils/spaces/space_utils.py | 0.938393 | 0.531453 | space_utils.py | pypi |
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