text stringlengths 7 35.3M | id stringlengths 11 185 | metadata dict | __index_level_0__ int64 0 2.14k |
|---|---|---|---|
//
// WKCookieWebview+CookiesHandle.h
// NativeApp
//
// Created by JiangJiahao on 2019/4/3.
// Copyright © 2019 JiangJiahao. All rights reserved.
//
#import <TapCommonSDK/TDSWKCookieWebview.h>
NS_ASSUME_NONNULL_BEGIN
@interface TDSWKCookieWebview (CookiesHandle)
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using System;
using System.Collections.Generic;
using System.Threading.Tasks;
using UnityEngine;
namespace TapSDK.UI
{
public class UIManager : MonoSingleton<UIManager>
{
public const int TOPPEST_SORTING_ORDER = 32767;
private const int LOADING_PANEL_SORTING_ORDER = TOPPEST_SORTING_ORDER;
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{% metadata_file .yamato/test_versions.metafile %}
---
{% for editor in test_editors %}
test_linux_ll_api_{{ editor.version }}_{{ editor.extra_test }}:
name: Test Linux LL-API {{ editor.version }} {{ editor.extra_test }}
agent:
type: Unity::VM
image: ml-agents/ml-agents-ubuntu-18.04:latest
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using System;
using System.Collections.Generic;
using System.IO;
using Newtonsoft.Json;
using UnityEditor;
using UnityEngine;
namespace Unity.MLAgents
{
public class SampleExporter
{
const string k_MLAgentsSampleFile = "mlagents-sample.json";
const string k_PackageSampleFile = ".sample.json";
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using System.Collections;
using System.Collections.Generic;
using Unity.MLAgents;
using UnityEngine;
public class DungeonEscapeEnvController : MonoBehaviour
{
[System.Serializable]
public class PlayerInfo
{
public PushAgentEscape Agent;
[HideInInspector]
public Vector3 StartingPos;
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//Put this script on your blue cube.
using System.Collections;
using UnityEngine;
using Unity.MLAgents;
using Unity.MLAgents.Actuators;
public class PushAgentBasic : Agent
{
/// <summary>
/// The ground. The bounds are used to spawn the elements.
/// </summary>
public GameObject ground;
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using UnityEngine;
using Unity.MLAgentsExamples;
public class PyramidArea : Area
{
public GameObject pyramid;
public GameObject stonePyramid;
public GameObject[] spawnAreas;
public int numPyra;
public float range;
public void CreatePyramid(int numObjects, int spawnAreaIndex)
{
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using System.Collections.Generic;
using UnityEngine;
using Unity.MLAgents;
using Unity.MLAgents.Actuators;
using Unity.MLAgents.Sensors;
using Random = UnityEngine.Random;
public class SorterAgent : Agent
{
[Range(1, 20)]
public int DefaultMaxNumTiles;
private const int k_HighestTileValue = 20;
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<jupyter_start><jupyter_text>ML-Agents Q-Learning with GridWorld Setup<jupyter_code>#@title Install Rendering Dependencies { display-mode: "form" }
#@markdown (You only need to run this code when using Colab's hosted runtime)
import os
from IPython.display import HTML, display
def progress(value, max=100):
retur... | ml-agents/colab/Colab_UnityEnvironment_2_Train.ipynb/0 | {
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#if UNITY_2020_1_OR_NEWER
using UnityEngine;
using Unity.MLAgents.Sensors;
namespace Unity.MLAgents.Extensions.Sensors
{
public class ArticulationBodySensorComponent : SensorComponent
{
public ArticulationBody RootBody;
[SerializeField]
public PhysicsSensorSettings Settings = PhysicsSe... | ml-agents/com.unity.ml-agents.extensions/Runtime/Sensors/ArticulationBodySensorComponent.cs/0 | {
"file_path": "ml-agents/com.unity.ml-agents.extensions/Runtime/Sensors/ArticulationBodySensorComponent.cs",
"repo_id": "ml-agents",
"token_count": 277
} | 1,938 |
using System.Collections.Generic;
using UnityEngine;
using Unity.MLAgents.Sensors;
namespace Unity.MLAgents.Extensions.Sensors
{
/// <summary>
/// Editor component that creates a PhysicsBodySensor for the Agent.
/// </summary>
public class RigidBodySensorComponent : SensorComponent
{
/// <s... | ml-agents/com.unity.ml-agents.extensions/Runtime/Sensors/RigidBodySensorComponent.cs/0 | {
"file_path": "ml-agents/com.unity.ml-agents.extensions/Runtime/Sensors/RigidBodySensorComponent.cs",
"repo_id": "ml-agents",
"token_count": 1648
} | 1,939 |
fileFormatVersion: 2
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timeCreated: 1613082414 | ml-agents/com.unity.ml-agents.extensions/Tests/Runtime/Input/Adaptors/IntegerInputActionAdaptorTests.cs.meta/0 | {
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"repo_id": "ml-agents",
"token_count": 39
} | 1,940 |
#if UNITY_2020_1_OR_NEWER
using UnityEngine;
using NUnit.Framework;
using Unity.MLAgents.Extensions.Sensors;
namespace Unity.MLAgents.Extensions.Tests.Sensors
{
public class ArticulationBodySensorTests
{
[Test]
public void TestNullRootBody()
{
var gameObj = new GameObject()... | ml-agents/com.unity.ml-agents.extensions/Tests/Runtime/Sensors/ArticulationBodySensorTests.cs/0 | {
"file_path": "ml-agents/com.unity.ml-agents.extensions/Tests/Runtime/Sensors/ArticulationBodySensorTests.cs",
"repo_id": "ml-agents",
"token_count": 2519
} | 1,941 |
using System.Linq;
using UnityEngine;
using UnityEditor;
using UnityEditor.Build;
using UnityEditor.Build.Reporting;
namespace Unity.MLAgents.Editor
{
internal class MLAgentsSettingsBuildProvider : IPreprocessBuildWithReport, IPostprocessBuildWithReport
{
public int callbackOrder => 0;
public... | ml-agents/com.unity.ml-agents/Editor/MLAgentsSettingsBuildProvider.cs/0 | {
"file_path": "ml-agents/com.unity.ml-agents/Editor/MLAgentsSettingsBuildProvider.cs",
"repo_id": "ml-agents",
"token_count": 521
} | 1,942 |
using UnityEditor;
using Unity.MLAgents.Sensors;
namespace Unity.MLAgents.Editor
{
[CustomEditor(typeof(VectorSensorComponent), editorForChildClasses: true)]
[CanEditMultipleObjects]
internal class VectorSensorComponentEditor : UnityEditor.Editor
{
public override void OnInspectorGUI()
... | ml-agents/com.unity.ml-agents/Editor/VectorSensorComponentEditor.cs/0 | {
"file_path": "ml-agents/com.unity.ml-agents/Editor/VectorSensorComponentEditor.cs",
"repo_id": "ml-agents",
"token_count": 480
} | 1,943 |
<?xml version="1.0" encoding="utf-8"?>
<linker>
<!--
Prevents Managed code stripping from removing code necessary for training.
You may wish to disable this preservation (that is, re-enable code stripping) to
reduce code size if you no longer need training.
See also https://docs.unity3d.com/Manual/ManagedCodeStripping... | ml-agents/com.unity.ml-agents/Plugins/ProtoBuffer/link.xml/0 | {
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platformData:
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"repo_id": "ml-agents",
"token_count": 93
} | 1,948 |
using System;
using UnityEngine;
using UnityEngine.Serialization;
namespace Unity.MLAgents
{
/// <summary>
/// The DecisionRequester component automatically request decisions for an
/// <see cref="Agent"/> instance at regular intervals.
/// </summary>
/// <remarks>
/// Attach a DecisionRequeste... | ml-agents/com.unity.ml-agents/Runtime/DecisionRequester.cs/0 | {
"file_path": "ml-agents/com.unity.ml-agents/Runtime/DecisionRequester.cs",
"repo_id": "ml-agents",
"token_count": 2008
} | 1,949 |
using System.Runtime.CompilerServices;
[assembly: InternalsVisibleTo("Unity.ML-Agents")]
[assembly: InternalsVisibleTo("Unity.ML-Agents.Editor")]
[assembly: InternalsVisibleTo("Unity.ML-Agents.Editor.Tests")]
[assembly: InternalsVisibleTo("Unity.ML-Agents.Runtime.Sensor.Tests")]
[assembly: InternalsVisibleTo("Unity.ML... | ml-agents/com.unity.ml-agents/Runtime/Grpc/AssemblyInfo.cs/0 | {
"file_path": "ml-agents/com.unity.ml-agents/Runtime/Grpc/AssemblyInfo.cs",
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"token_count": 123
} | 1,950 |
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"repo_id": "ml-agents",
"token_count": 66
} | 1,953 |
using System.Collections.Generic;
using Unity.Sentis;
using Unity.MLAgents.Actuators;
namespace Unity.MLAgents.Inference
{
/// <summary>
/// Mapping between the output tensor names and the method that will use the
/// output tensors and the Agents present in the batch to update their action, memories and
... | ml-agents/com.unity.ml-agents/Runtime/Inference/TensorApplier.cs/0 | {
"file_path": "ml-agents/com.unity.ml-agents/Runtime/Inference/TensorApplier.cs",
"repo_id": "ml-agents",
"token_count": 2207
} | 1,954 |
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"file_path": "ml-agents/com.unity.ml-agents/Runtime/InplaceArray.cs.meta",
"repo_id": "ml-agents",
"token_count": 40
} | 1,955 |
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"repo_id": "ml-agents",
"token_count": 94
} | 1,956 |
using Unity.Sentis;
using System.Collections.Generic;
using System.Diagnostics;
using Unity.MLAgents.Actuators;
using Unity.MLAgents.Inference;
using Unity.MLAgents.Sensors;
namespace Unity.MLAgents.Policies
{
/// <summary>
/// Where to perform inference.
/// </summary>
public enum InferenceDevice
... | ml-agents/com.unity.ml-agents/Runtime/Policies/SentisPolicy.cs/0 | {
"file_path": "ml-agents/com.unity.ml-agents/Runtime/Policies/SentisPolicy.cs",
"repo_id": "ml-agents",
"token_count": 2151
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fileFormatVersion: 2
guid: cc1734d60fd5485ead94247cb206aa35
timeCreated: 1615412644 | ml-agents/com.unity.ml-agents/Runtime/Sensors/ObservationSpec.cs.meta/0 | {
"file_path": "ml-agents/com.unity.ml-agents/Runtime/Sensors/ObservationSpec.cs.meta",
"repo_id": "ml-agents",
"token_count": 35
} | 1,959 |
using System;
namespace Unity.MLAgents.Sensors.Reflection
{
internal class EnumReflectionSensor : ReflectionSensorBase
{
Array m_Values;
bool m_IsFlags;
internal EnumReflectionSensor(ReflectionSensorInfo reflectionSensorInfo)
: base(reflectionSensorInfo, GetEnumObservationS... | ml-agents/com.unity.ml-agents/Runtime/Sensors/Reflection/EnumReflectionSensor.cs/0 | {
"file_path": "ml-agents/com.unity.ml-agents/Runtime/Sensors/Reflection/EnumReflectionSensor.cs",
"repo_id": "ml-agents",
"token_count": 1069
} | 1,960 |
namespace Unity.MLAgents.Sensors.Reflection
{
/// <summary>
/// Sensor that wraps a Vector4 field or property of an object, and returns
/// that as an observation.
/// </summary>
internal class Vector4ReflectionSensor : ReflectionSensorBase
{
public Vector4ReflectionSensor(ReflectionSens... | ml-agents/com.unity.ml-agents/Runtime/Sensors/Reflection/Vector4ReflectionSensor.cs/0 | {
"file_path": "ml-agents/com.unity.ml-agents/Runtime/Sensors/Reflection/Vector4ReflectionSensor.cs",
"repo_id": "ml-agents",
"token_count": 232
} | 1,961 |
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folderAsset: yes
DefaultImporter:
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userData:
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"token_count": 41
} | 1,963 |
using System.Collections.Generic;
using NUnit.Framework;
using Unity.MLAgents.Actuators;
namespace Unity.MLAgents.Tests.Actuators
{
[TestFixture]
public class ActuatorDiscreteActionMaskTests
{
[Test]
public void Construction()
{
var masker = new ActuatorDiscreteActionMas... | ml-agents/com.unity.ml-agents/Tests/Editor/Actuators/ActuatorDiscreteActionMaskTests.cs/0 | {
"file_path": "ml-agents/com.unity.ml-agents/Tests/Editor/Actuators/ActuatorDiscreteActionMaskTests.cs",
"repo_id": "ml-agents",
"token_count": 2634
} | 1,964 |
using NUnit.Framework;
using Unity.Sentis;
using Unity.MLAgents.Actuators;
using UnityEngine;
using Unity.MLAgents.Policies;
using UnityEditor;
using UnityEngine.TestTools;
namespace Unity.MLAgents.Tests
{
[TestFixture]
public class BehaviorParameterTests : IHeuristicProvider
{
const string k_conti... | ml-agents/com.unity.ml-agents/Tests/Editor/BehaviorParameterTests.cs/0 | {
"file_path": "ml-agents/com.unity.ml-agents/Tests/Editor/BehaviorParameterTests.cs",
"repo_id": "ml-agents",
"token_count": 1223
} | 1,965 |
using System.Collections.Generic;
using Unity.Sentis;
using NUnit.Framework;
using UnityEngine;
using Unity.MLAgents.Actuators;
using Unity.MLAgents.Inference;
using Unity.MLAgents.Policies;
using Unity.MLAgents.Utils.Tests;
namespace Unity.MLAgents.Tests
{
[TestFixture]
public class EditModeTestInternalBrainT... | ml-agents/com.unity.ml-agents/Tests/Editor/Inference/EditModeTestInternalBrainTensorGenerator.cs/0 | {
"file_path": "ml-agents/com.unity.ml-agents/Tests/Editor/Inference/EditModeTestInternalBrainTensorGenerator.cs",
"repo_id": "ml-agents",
"token_count": 3706
} | 1,966 |
using System.Collections.Generic;
using System.IO;
using System.Reflection;
using NUnit.Framework;
using UnityEngine;
using Unity.MLAgents.Integrations.Match3;
using Unity.MLAgents.Sensors;
namespace Unity.MLAgents.Tests.Integrations.Match3
{
public class Match3SensorTests
{
// Whether the expected PNG... | ml-agents/com.unity.ml-agents/Tests/Editor/Integrations/Match3/Match3SensorTests.cs/0 | {
"file_path": "ml-agents/com.unity.ml-agents/Tests/Editor/Integrations/Match3/Match3SensorTests.cs",
"repo_id": "ml-agents",
"token_count": 8918
} | 1,967 |
using Unity.MLAgents.Sensors;
using NUnit.Framework;
using Unity.MLAgents;
using UnityEngine;
namespace Unity.MLAgentsExamples
{
/// <summary>
/// The purpose of these tests is to make sure that we can do basic operations like creating
/// an Agent and adding components from code without requiring access t... | ml-agents/com.unity.ml-agents/Tests/Editor/PublicAPI/PublicApiValidation.cs/0 | {
"file_path": "ml-agents/com.unity.ml-agents/Tests/Editor/PublicAPI/PublicApiValidation.cs",
"repo_id": "ml-agents",
"token_count": 1508
} | 1,968 |
using System;
using NUnit.Framework;
using System.Collections.Generic;
using System.Text;
using Unity.MLAgents.SideChannels;
namespace Unity.MLAgents.Tests
{
public class SideChannelTests
{
// This test side channel only deals in integers
public class TestSideChannel : SideChannel
{
... | ml-agents/com.unity.ml-agents/Tests/Editor/SideChannels/SideChannelTests.cs/0 | {
"file_path": "ml-agents/com.unity.ml-agents/Tests/Editor/SideChannels/SideChannelTests.cs",
"repo_id": "ml-agents",
"token_count": 3531
} | 1,969 |
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"file_path": "ml-agents/com.unity.ml-agents/Tests/Editor/UtilitiesTests.cs.meta",
"repo_id": "ml-agents",
"token_count": 41
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fileFormatVersion: 2
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timeCreated: 1578093005 | ml-agents/com.unity.ml-agents/Tests/Runtime/Sensor/FloatVisualSensorTests.cs.meta/0 | {
"file_path": "ml-agents/com.unity.ml-agents/Tests/Runtime/Sensor/FloatVisualSensorTests.cs.meta",
"repo_id": "ml-agents",
"token_count": 38
} | 1,971 |
using System;
using System.Collections.Generic;
using System.Reflection;
using System.Runtime.CompilerServices;
using Unity.MLAgents.Actuators;
using Unity.MLAgents.Policies;
using Unity.MLAgents.Sensors;
using Unity.MLAgents.Sensors.Reflection;
[assembly: InternalsVisibleTo("Unity.ML-Agents.Editor.Tests")]
[assembly:... | ml-agents/com.unity.ml-agents/Tests/Runtime/Utils/TestClasses.cs/0 | {
"file_path": "ml-agents/com.unity.ml-agents/Tests/Runtime/Utils/TestClasses.cs",
"repo_id": "ml-agents",
"token_count": 2205
} | 1,972 |
behaviors:
DungeonEscape:
trainer_type: poca
hyperparameters:
batch_size: 1024
buffer_size: 10240
learning_rate: 0.0003
beta: 0.01
epsilon: 0.2
lambd: 0.95
num_epoch: 3
learning_rate_schedule: constant
network_settings:
normalize: false
hidden_un... | ml-agents/config/poca/DungeonEscape.yaml/0 | {
"file_path": "ml-agents/config/poca/DungeonEscape.yaml",
"repo_id": "ml-agents",
"token_count": 269
} | 1,973 |
behaviors:
Sorter:
trainer_type: ppo
hyperparameters:
batch_size: 512
buffer_size: 40960
learning_rate: 0.0003
beta: 0.005
epsilon: 0.2
lambd: 0.95
num_epoch: 3
learning_rate_schedule: constant
network_settings:
normalize: False
hidden_units: 128... | ml-agents/config/ppo/Sorter_curriculum.yaml/0 | {
"file_path": "ml-agents/config/ppo/Sorter_curriculum.yaml",
"repo_id": "ml-agents",
"token_count": 1357
} | 1,974 |
behaviors:
Walker:
trainer_type: sac
hyperparameters:
learning_rate: 0.0003
learning_rate_schedule: constant
batch_size: 1024
buffer_size: 2000000
buffer_init_steps: 0
tau: 0.005
steps_per_update: 30.0
save_replay_buffer: false
init_entcoef: 1.0
rewa... | ml-agents/config/sac/Walker.yaml/0 | {
"file_path": "ml-agents/config/sac/Walker.yaml",
"repo_id": "ml-agents",
"token_count": 307
} | 1,975 |
# Installing ML-Agents Toolkit for Windows (Deprecated)
:warning: **Note:** We no longer use this guide ourselves and so it may not work
correctly. We've decided to keep it up just in case it is helpful to you.
The ML-Agents Toolkit supports Windows 10. While it might be possible to run the
ML-Agents Toolkit using ot... | ml-agents/docs/Installation-Anaconda-Windows.md/0 | {
"file_path": "ml-agents/docs/Installation-Anaconda-Windows.md",
"repo_id": "ml-agents",
"token_count": 3986
} | 1,976 |
# ML-Agents Package Settings
ML-Agents Package Settings contains settings that apply to the whole project.
It allows you to configure ML-Agents-specific settings in the Editor. These settings are available for use in both the Editor and Player.
You can find them at `Edit` > `Project Settings...` > `ML-Agents`. It li... | ml-agents/docs/Package-Settings.md/0 | {
"file_path": "ml-agents/docs/Package-Settings.md",
"repo_id": "ml-agents",
"token_count": 324
} | 1,977 |
# Training on Amazon Web Service
:warning: **Note:** We no longer use this guide ourselves and so it may not work
correctly. We've decided to keep it up just in case it is helpful to you.
This page contains instructions for setting up an EC2 instance on Amazon Web
Service for training ML-Agents environments.
## Pre-... | ml-agents/docs/Training-on-Amazon-Web-Service.md/0 | {
"file_path": "ml-agents/docs/Training-on-Amazon-Web-Service.md",
"repo_id": "ml-agents",
"token_count": 4117
} | 1,978 |
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margin:0;
padding:4px;
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list-style:none outside none;
margin:0px;
padding:0px;
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#nav-tree li {
white-space:nowrap;
margin:0px;
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}
#nav-tree .selected {
background-image: url('tab_a.png');
background-repeat:re... | ml-agents/docs/doxygen/navtree.css/0 | {
"file_path": "ml-agents/docs/doxygen/navtree.css",
"repo_id": "ml-agents",
"token_count": 913
} | 1,979 |
<img src="https://github.com/Unity-Technologies/ml-agents/blob/main/docs/images/image-banner.png" align="middle" width="3000"/>
# Unity ML-Agents Toolkit Version Release 7
[](https://github.com/Unity-Technologies/ml-agents/tree/release_7_docs/docs/)
[... | ml-agents/localized_docs/RU/README.md/0 | {
"file_path": "ml-agents/localized_docs/RU/README.md",
"repo_id": "ml-agents",
"token_count": 8388
} | 1,980 |
# 3D Balance Ball 环境入门
本教程介绍在 Unity 中打开 ML-Agents 示例环境、
构建 Unity 可执行文件、在其中训练 agent 以及
最终将经过训练的模型嵌入到 Unity 环境中的端到端过程。
ML-Agents 包含大量[示例环境](Learning-Environment-Examples.md)，
您可以通过这些环境来了解 ML-Agents 的
不同使用方式。这些环境也可以用作新环境的模板
或用作测试新 ML 算法的方法。阅读本教程后，
您应该能够了解并构建示例环境。
本演练过程将使用 **3D Ba... | ml-agents/localized_docs/zh-CN/docs/Getting-Started-with-Balance-Ball.md/0 | {
"file_path": "ml-agents/localized_docs/zh-CN/docs/Getting-Started-with-Balance-Ball.md",
"repo_id": "ml-agents",
"token_count": 10460
} | 1,981 |
# @generated by generate_proto_mypy_stubs.py. Do not edit!
import sys
from google.protobuf.descriptor import (
Descriptor as google___protobuf___descriptor___Descriptor,
)
from google.protobuf.message import (
Message as google___protobuf___message___Message,
)
from mlagents_envs.communicator_objects.agent_a... | ml-agents/ml-agents-envs/mlagents_envs/communicator_objects/agent_info_action_pair_pb2.pyi/0 | {
"file_path": "ml-agents/ml-agents-envs/mlagents_envs/communicator_objects/agent_info_action_pair_pb2.pyi",
"repo_id": "ml-agents",
"token_count": 843
} | 1,982 |
# @generated by generate_proto_mypy_stubs.py. Do not edit!
import sys
from google.protobuf.descriptor import (
Descriptor as google___protobuf___descriptor___Descriptor,
)
from google.protobuf.message import (
Message as google___protobuf___message___Message,
)
from typing import (
Optional as typing___O... | ml-agents/ml-agents-envs/mlagents_envs/communicator_objects/header_pb2.pyi/0 | {
"file_path": "ml-agents/ml-agents-envs/mlagents_envs/communicator_objects/header_pb2.pyi",
"repo_id": "ml-agents",
"token_count": 518
} | 1,983 |
# @generated by generate_proto_mypy_stubs.py. Do not edit!
import sys
from google.protobuf.descriptor import (
Descriptor as google___protobuf___descriptor___Descriptor,
)
from google.protobuf.internal.containers import (
RepeatedCompositeFieldContainer as google___protobuf___internal___containers___RepeatedC... | ml-agents/ml-agents-envs/mlagents_envs/communicator_objects/unity_rl_initialization_output_pb2.pyi/0 | {
"file_path": "ml-agents/ml-agents-envs/mlagents_envs/communicator_objects/unity_rl_initialization_output_pb2.pyi",
"repo_id": "ml-agents",
"token_count": 1145
} | 1,984 |
import atexit
from typing import Optional, List, Set, Dict, Any, Tuple
import numpy as np
from gym import error, spaces
from mlagents_envs.base_env import BaseEnv, ActionTuple
from mlagents_envs.envs.env_helpers import _agent_id_to_behavior, _unwrap_batch_steps
class UnityPettingzooBaseEnv:
"""
Unity Petting ... | ml-agents/ml-agents-envs/mlagents_envs/envs/unity_pettingzoo_base_env.py/0 | {
"file_path": "ml-agents/ml-agents-envs/mlagents_envs/envs/unity_pettingzoo_base_env.py",
"repo_id": "ml-agents",
"token_count": 5852
} | 1,985 |
from typing import List
import struct
class IncomingMessage:
"""
Utility class for reading the message written to a SideChannel.
Values must be read in the order they were written.
"""
def __init__(self, buffer: bytes, offset: int = 0):
"""
Create a new IncomingMessage from the by... | ml-agents/ml-agents-envs/mlagents_envs/side_channel/incoming_message.py/0 | {
"file_path": "ml-agents/ml-agents-envs/mlagents_envs/side_channel/incoming_message.py",
"repo_id": "ml-agents",
"token_count": 1327
} | 1,986 |
from unittest.mock import Mock
import pytest
from unittest import mock
import grpc
import mlagents_envs.rpc_communicator
from mlagents_envs.rpc_communicator import RpcCommunicator
from mlagents_envs.exception import (
UnityWorkerInUseException,
UnityTimeOutException,
UnityEnvironmentException,
)
from mla... | ml-agents/ml-agents-envs/tests/test_rpc_communicator.py/0 | {
"file_path": "ml-agents/ml-agents-envs/tests/test_rpc_communicator.py",
"repo_id": "ml-agents",
"token_count": 1245
} | 1,987 |
from typing import NamedTuple, Any, Dict, List
import numpy as np
from mlagents_envs.base_env import AgentId
ActionInfoOutputs = Dict[str, np.ndarray]
class ActionInfo(NamedTuple):
"""
A NamedTuple containing actions and related quantities to the policy forward
pass. Additionally contains the agent ids i... | ml-agents/ml-agents/mlagents/trainers/action_info.py/0 | {
"file_path": "ml-agents/ml-agents/mlagents/trainers/action_info.py",
"repo_id": "ml-agents",
"token_count": 255
} | 1,988 |
import os
import shutil
from mlagents.torch_utils import torch
from typing import Dict, Union, Optional, cast, Tuple, List
from mlagents_envs.exception import UnityPolicyException
from mlagents_envs.logging_util import get_logger
from mlagents.trainers.model_saver.model_saver import BaseModelSaver
from mlagents.trainer... | ml-agents/ml-agents/mlagents/trainers/model_saver/torch_model_saver.py/0 | {
"file_path": "ml-agents/ml-agents/mlagents/trainers/model_saver/torch_model_saver.py",
"repo_id": "ml-agents",
"token_count": 2953
} | 1,989 |
import numpy as np
from typing import Dict, List, NamedTuple, cast, Tuple, Optional
import attr
from mlagents.torch_utils import torch, nn, default_device
from mlagents_envs.logging_util import get_logger
from mlagents.trainers.optimizer.torch_optimizer import TorchOptimizer
from mlagents.trainers.policy.torch_policy... | ml-agents/ml-agents/mlagents/trainers/sac/optimizer_torch.py/0 | {
"file_path": "ml-agents/ml-agents/mlagents/trainers/sac/optimizer_torch.py",
"repo_id": "ml-agents",
"token_count": 13555
} | 1,990 |
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