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CARL-main/carl/envs/box2d/utils.py
from typing import List import Box2D def safe_destroy(world: Box2D.b2World, bodies: List[Box2D.b2Body]) -> None: for body in bodies: try: world.DestroyBody(body) except AssertionError as error: if str(error) != "m_bodyCount > 0": raise error
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CARL-main/carl/envs/box2d/parking_garage/__init__.py
__author__ = "André Biedenkapp"
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CARL-main/carl/envs/box2d/parking_garage/bus.py
from typing import List import Box2D import numpy as np from Box2D.b2 import circleShape # noqa: F401 from Box2D.b2 import contactListener # noqa: F401 from Box2D.b2 import distanceJointDef # noqa: F401 from Box2D.b2 import edgeShape # noqa: F401 from Box2D.b2 import fixtureDef # noqa: F401 from Box2D.b2 import p...
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CARL-main/carl/envs/box2d/parking_garage/race_car.py
from typing import List import Box2D import numpy as np from Box2D.b2 import circleShape # noqa: F401 from Box2D.b2 import contactListener # noqa: F401 from Box2D.b2 import distanceJointDef # noqa: F401 from Box2D.b2 import edgeShape # noqa: F401 from Box2D.b2 import fixtureDef # noqa: F401 from Box2D.b2 import p...
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CARL-main/carl/envs/box2d/parking_garage/street_car.py
from __future__ import annotations import Box2D import numpy as np from Box2D.b2 import circleShape # noqa: F401 from Box2D.b2 import contactListener # noqa: F401 from Box2D.b2 import distanceJointDef # noqa: F401 from Box2D.b2 import edgeShape # noqa: F401 from Box2D.b2 import fixtureDef # noqa: F401 from Box2D....
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CARL-main/carl/envs/box2d/parking_garage/trike.py
from typing import List import Box2D import numpy as np from Box2D.b2 import circleShape # noqa: F401 from Box2D.b2 import contactListener # noqa: F401 from Box2D.b2 import distanceJointDef # noqa: F401 from Box2D.b2 import edgeShape # noqa: F401 from Box2D.b2 import fixtureDef # noqa: F401 from Box2D.b2 import p...
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CARL-main/carl/envs/box2d/parking_garage/utils.py
class Particle: pass
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CARL-main/carl/envs/brax/__init__.py
# flake8: noqa: F401 # Contexts and bounds by name from carl.envs.brax.carl_ant import CONTEXT_BOUNDS as CARLAnt_bounds from carl.envs.brax.carl_ant import DEFAULT_CONTEXT as CARLAnt_defaults from carl.envs.brax.carl_ant import CARLAnt from carl.envs.brax.carl_fetch import CONTEXT_BOUNDS as CARLFetch_bounds from carl.e...
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CARL-main/carl/envs/brax/carl_ant.py
from typing import Any, Dict, List, Optional, Union import copy import json import brax import numpy as np from brax.envs.ant import _SYSTEM_CONFIG, Ant from brax.envs.wrappers import GymWrapper, VectorGymWrapper, VectorWrapper from google.protobuf import json_format, text_format from google.protobuf.json_format impo...
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CARL-main/carl/envs/brax/carl_fetch.py
from typing import Any, Dict, List, Optional, Union import copy import json import brax import numpy as np from brax.envs.fetch import _SYSTEM_CONFIG, Fetch from brax.envs.wrappers import GymWrapper, VectorGymWrapper, VectorWrapper from google.protobuf import json_format, text_format from google.protobuf.json_format ...
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CARL-main/carl/envs/brax/carl_grasp.py
from typing import Any, Dict, List, Optional, Union import copy import json import brax import numpy as np from brax.envs.grasp import _SYSTEM_CONFIG, Grasp from brax.envs.wrappers import GymWrapper, VectorGymWrapper, VectorWrapper from google.protobuf import json_format, text_format from google.protobuf.json_format ...
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CARL-main/carl/envs/brax/carl_halfcheetah.py
from typing import Any, Dict, List, Optional, Union import copy import json import brax import numpy as np from brax.envs.half_cheetah import _SYSTEM_CONFIG, Halfcheetah from brax.envs.wrappers import GymWrapper, VectorGymWrapper, VectorWrapper from google.protobuf import json_format, text_format from google.protobuf...
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CARL-main/carl/envs/brax/carl_humanoid.py
from typing import Any, Dict, List, Optional, Union import copy import json import brax import numpy as np from brax import jumpy as jp from brax.envs.humanoid import _SYSTEM_CONFIG, Humanoid from brax.envs.wrappers import GymWrapper, VectorGymWrapper, VectorWrapper from brax.physics import bodies from google.protobu...
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CARL-main/carl/envs/brax/carl_ur5e.py
from typing import Any, Dict, List, Optional, Union import copy import json import brax import numpy as np from brax.envs.ur5e import _SYSTEM_CONFIG, Ur5e from brax.envs.wrappers import GymWrapper, VectorGymWrapper, VectorWrapper from google.protobuf import json_format, text_format from google.protobuf.json_format im...
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CARL-main/carl/envs/classic_control/__init__.py
# flake8: noqa: F401 # Contexts and bounds by name from carl.envs.classic_control.carl_acrobot import ( CONTEXT_BOUNDS as CARLAcrobotEnv_bounds, ) from carl.envs.classic_control.carl_acrobot import ( DEFAULT_CONTEXT as CARLAcrobotEnv_defaults, ) from carl.envs.classic_control.carl_acrobot import CARLAcrobotEnv ...
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CARL-main/carl/envs/classic_control/carl_acrobot.py
from typing import Dict, List, Optional, Union import numpy as np from gym.envs.classic_control import AcrobotEnv from carl.context.selection import AbstractSelector from carl.envs.carl_env import CARLEnv from carl.utils.trial_logger import TrialLogger from carl.utils.types import Context, Contexts DEFAULT_CONTEXT =...
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CARL-main/carl/envs/classic_control/carl_cartpole.py
from typing import Dict, List, Optional, Union import numpy as np from gym.envs.classic_control import CartPoleEnv from carl.context.selection import AbstractSelector from carl.envs.carl_env import CARLEnv from carl.utils.trial_logger import TrialLogger from carl.utils.types import Context, Contexts DEFAULT_CONTEXT ...
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CARL-main/carl/envs/classic_control/carl_mountaincar.py
from typing import Dict, List, Optional, Tuple, Union import gym.envs.classic_control as gccenvs import numpy as np from carl.context.selection import AbstractSelector from carl.envs.carl_env import CARLEnv from carl.utils.trial_logger import TrialLogger from carl.utils.types import Context, Contexts DEFAULT_CONTEXT...
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CARL-main/carl/envs/classic_control/carl_mountaincarcontinuous.py
from typing import Dict, List, Optional, Union import gym.envs.classic_control as gccenvs import numpy as np from carl.context.selection import AbstractSelector from carl.envs.carl_env import CARLEnv from carl.utils.trial_logger import TrialLogger from carl.utils.types import Context, Contexts DEFAULT_CONTEXT = { ...
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CARL-main/carl/envs/classic_control/carl_pendulum.py
from typing import Dict, List, Optional, Union import gym.envs.classic_control as gccenvs import numpy as np from carl.context.selection import AbstractSelector from carl.envs.carl_env import CARLEnv from carl.utils.trial_logger import TrialLogger from carl.utils.types import Context, Contexts DEFAULT_CONTEXT = { ...
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CARL-main/carl/envs/dmc/__init__.py
# flake8: noqa: F401 # Contexts and bounds by name from carl.envs.dmc.carl_dm_finger import CONTEXT_BOUNDS as CARLDmcFingerEnv_bounds from carl.envs.dmc.carl_dm_finger import CONTEXT_MASK as CARLDmcFingerEnv_mask from carl.envs.dmc.carl_dm_finger import DEFAULT_CONTEXT as CARLDmcFingerEnv_defaults from carl.envs.dmc.ca...
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CARL-main/carl/envs/dmc/carl_dm_finger.py
from typing import Dict, List, Optional, Union import numpy as np from carl.context.selection import AbstractSelector from carl.envs.dmc.carl_dmcontrol import CARLDmcEnv from carl.envs.dmc.dmc_tasks.fish import STEP_LIMIT # type: ignore from carl.utils.trial_logger import TrialLogger from carl.utils.types import Con...
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CARL-main/carl/envs/dmc/carl_dm_fish.py
from typing import Dict, List, Optional, Union import numpy as np from carl.context.selection import AbstractSelector from carl.envs.dmc.carl_dmcontrol import CARLDmcEnv from carl.envs.dmc.dmc_tasks.fish import STEP_LIMIT # type: ignore from carl.utils.trial_logger import TrialLogger from carl.utils.types import Con...
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CARL-main/carl/envs/dmc/carl_dm_quadruped.py
from typing import Dict, List, Optional, Union import numpy as np from carl.context.selection import AbstractSelector from carl.envs.dmc.carl_dmcontrol import CARLDmcEnv from carl.envs.dmc.dmc_tasks.quadruped import STEP_LIMIT # type: ignore from carl.utils.trial_logger import TrialLogger from carl.utils.types impor...
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CARL-main/carl/envs/dmc/carl_dm_walker.py
from typing import Dict, List, Optional, Union import numpy as np from carl.context.selection import AbstractSelector from carl.envs.dmc.carl_dmcontrol import CARLDmcEnv from carl.envs.dmc.dmc_tasks.walker import STEP_LIMIT # type: ignore from carl.utils.trial_logger import TrialLogger from carl.utils.types import C...
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CARL-main/carl/envs/dmc/carl_dmcontrol.py
from typing import Dict, List, Optional, Union from carl.context.selection import AbstractSelector from carl.envs.carl_env import CARLEnv from carl.envs.dmc.loader import load_dmc_env from carl.envs.dmc.wrappers import MujocoToGymWrapper from carl.utils.trial_logger import TrialLogger from carl.utils.types import Cont...
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CARL-main/carl/envs/dmc/loader.py
from typing import Any, Dict, List, Optional import inspect import dm_env # type: ignore from dm_control import suite # type: ignore from carl.envs.dmc.dmc_tasks import ( # type: ignore [import] # noqa: F401 finger, fish, quadruped, walker, ) from carl.utils.types import Context _DOMAINS = { ...
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CARL-main/carl/envs/dmc/wrappers.py
from typing import Any, Optional, Tuple, TypeVar, Union import dm_env # type: ignore import gym import numpy as np from dm_env import StepType from gym import spaces ObsType = TypeVar("ObsType") ActType = TypeVar("ActType") def get_shape(shape: tuple) -> tuple: """ Get shape of array or scalar. If sca...
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CARL-main/carl/envs/dmc/dmc_tasks/finger.py
# flake8: noqa: E501 # Copyright 2017 The dm_control Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicab...
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CARL-main/carl/envs/dmc/dmc_tasks/fish.py
# Copyright 2017 The dm_control Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to i...
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CARL-main/carl/envs/dmc/dmc_tasks/quadruped.py
# Copyright 2019 The dm_control Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to i...
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CARL-main/carl/envs/dmc/dmc_tasks/utils.py
from __future__ import annotations from typing import List from lxml import etree # type: ignore from carl.utils.types import Context def adapt_context( xml_string: bytes, context: Context, context_mask: List = [] ) -> bytes: """Adapts and returns the xml_string of the model with the given context.""" ...
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CARL-main/carl/envs/dmc/dmc_tasks/walker.py
# Copyright 2017 The dm_control Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to i...
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CARL-main/carl/envs/mario/__init__.py
# flake8: noqa: F401 import warnings try: from carl.envs.mario.carl_mario import CARLMarioEnv except Exception as e: warnings.warn(f"Could not load CARLMarioEnv which is probably not installed ({e}).") from carl.envs.mario.carl_mario_definitions import CONTEXT_BOUNDS as CARLMarioEnv_bounds from carl.envs.mari...
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CARL-main/carl/envs/mario/carl_mario.py
from typing import Dict, List, Optional, Union import gym from carl.context.selection import AbstractSelector from carl.envs.carl_env import CARLEnv from carl.envs.mario.carl_mario_definitions import ( DEFAULT_CONTEXT, INITIAL_HEIGHT, INITIAL_WIDTH, ) from carl.envs.mario.mario_env import MarioEnv from ca...
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CARL-main/carl/envs/mario/carl_mario_definitions.py
import numpy as np from torch import Tensor try: from carl.envs.mario.toad_gan import generate_initial_noise except FileNotFoundError: def generate_initial_noise(width: int, height: int, level_index: int) -> Tensor: return Tensor() INITIAL_WIDTH = 100 INITIAL_LEVEL_INDEX = 0 INITIAL_HEIGHT = 16 DEFA...
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CARL-main/carl/envs/mario/generate_sample.py
# Code from https://github.com/Mawiszus/TOAD-GAN from typing import Any, List, Optional, Tuple, Union import torch import torch.nn as nn from torch import Tensor from torch.nn.functional import interpolate # Generates a noise tensor. Uses torch.randn. def generate_spatial_noise( size: Union[Any, List[int], Tuple...
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CARL-main/carl/envs/mario/level_image_gen.py
# Code from https://github.com/Mawiszus/TOAD-GAN from typing import Any, List, Tuple import os from PIL import Image, ImageEnhance, ImageOps class LevelImageGen: """Generates PIL Image files from Super Mario Bros. ascii levels. Initialize once and then use LevelImageGen.render() to generate images.""" ...
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CARL-main/carl/envs/mario/mario_env.py
from typing import Any, ByteString, Deque, Dict, List, Literal, Optional, Union, cast import os import random import socket from collections import deque import cv2 import gym import numpy as np from gym import spaces from gym.core import ObsType from gym.utils import seeding from PIL import Image from py4j.java_gate...
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CARL-main/carl/envs/mario/mario_game.py
from abc import ABC, abstractmethod class MarioGame(ABC): @abstractmethod def getPort(self) -> int: pass @abstractmethod def initGame(self) -> None: pass @abstractmethod def stepGame( self, left: bool, right: bool, down: bool, speed: bool, jump: bool ) -> None: ...
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CARL-main/carl/envs/mario/reachabillity.py
from typing import List, Tuple import numpy as np horizontal = 10 # when sprinting Mario can jump over a 10 tiles gap horizontally vertical = 4 # Mario can jump over a 4 tile wall diagonal = ( 6 # Mario can jump over 6 tiles to clear a 4 block height difference when sprinting ) empty = "-" ignored = ["M", "F"...
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CARL-main/carl/envs/mario/toad_gan.py
from typing import Optional import functools import os import sys from dataclasses import dataclass import torch from torch import Tensor from carl.envs.mario.generate_sample import generate_sample, generate_spatial_noise from carl.envs.mario.reachabillity import reachability_map @dataclass class TOADGAN: def ...
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CARL-main/carl/envs/mario/utils.py
from typing import Tuple import atexit import os import socket import sys from contextlib import closing from py4j.java_gateway import JavaGateway from xvfbwrapper import Xvfb MARIO_AI_PATH = os.path.abspath( os.path.join(os.path.dirname(__file__), "Mario-AI-Framework") ) _gateway = None _port = None def find_...
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CARL-main/carl/envs/mario/models/__init__.py
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CARL-main/carl/envs/mario/models/conv_block.py
# Code from https://github.com/Mawiszus/TOAD-GAN from typing import Tuple, Union import torch.nn as nn class ConvBlock(nn.Sequential): """Conv block containing Conv2d, BatchNorm2d and LeakyReLU Layers.""" def __init__( self, in_channel: int, out_channel: int, ker_size: Union[...
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CARL-main/carl/envs/mario/models/discriminator.py
# Code from https://github.com/Mawiszus/TOAD-GAN from argparse import Namespace import torch import torch.nn as nn from torch import Tensor from .conv_block import ConvBlock class Level_WDiscriminator(nn.Module): """Patch based Discriminator. Uses Namespace opt.""" def __init__(self, opt: Namespace): ...
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CARL-main/carl/envs/mario/models/generator.py
# Code from https://github.com/Mawiszus/TOAD-GAN from argparse import Namespace import torch import torch.nn as nn import torch.nn.functional as F from torch import Tensor from .conv_block import ConvBlock class Level_GeneratorConcatSkip2CleanAdd(nn.Module): """Patch based Generator. Uses namespace opt.""" ...
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CARL-main/carl/envs/mario/sprites/README.md
## Notice This folder contains the sprite images from https://github.com/amidos2006/Mario-AI-Framework/tree/master/img. They are necessary for the Mario-AI-Framework and our level preview renderer.
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CARL-main/carl/envs/rna/__init__.py
# flake8: noqa: F401 # isort: skip_file try: from carl.envs.rna.carl_rna import CARLRnaDesignEnv from carl.envs.rna.carl_rna_definitions import ( DEFAULT_CONTEXT as CARLRnaDesignEnv_defaults, CONTEXT_BOUNDS as CARLRnaDesignEnv_bounds, ) except Exception as e: print(e)
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CARL-main/carl/envs/rna/carl_rna.py
# pylint: disable=missing-module-docstring # isort: skip_file from typing import Optional, Dict, Union, List, Tuple, Any import numpy as np import gym from carl.envs.carl_env import CARLEnv from carl.envs.rna.parse_dot_brackets import parse_dot_brackets from carl.envs.rna.rna_environment import ( RnaDesignEnviron...
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CARL-main/carl/envs/rna/carl_rna_definitions.py
import numpy as np from gym import spaces DEFAULT_CONTEXT = { "mutation_threshold": 5, "reward_exponent": 1, "state_radius": 5, "dataset": "eterna", "target_structure_ids": None, } CONTEXT_BOUNDS = { "mutation_threshold": (0.1, np.inf, float), "reward_exponent": (0.1, np.inf, float), "s...
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CARL-main/carl/envs/rna/parse_dot_brackets.py
# flake8: noqa: F401 # isort: skip_file from pathlib import Path from typing import List, Optional, Union, Generator def parse_dot_brackets( dataset: str, data_dir: str, target_structure_ids: Optional[List[int]] = None, target_structure_path: Optional[Union[str, Path]] = None, ) -> List[str]: """...
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CARL-main/carl/envs/rna/readme.md
# **CARL RNA Environment** This is the CARL RNA environment that has been adapted from the [Learning to Design RNA](https://openreview.net/pdf?id=ByfyHh05tQ) by Runge et. al. The code has been adapted from [https://github.com/automl/learna](https://github.com/automl/learna) with a carl wrapper written around the envi...
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CARL-main/carl/envs/rna/rna_environment.py
# isort: skip_file """ Code adapted from https://github.com/automl/learna """ import time from itertools import product from dataclasses import dataclass from distance import hamming import numpy as np from RNA import fold import gym from typing import Any, List @dataclass class RnaDesignEnvironmentConfig: "...
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CARL-main/carl/envs/rna/data/download_and_build_eterna.py
# flake8: noqa: F401 # # isort: skip_file from urllib.request import Request from tqdm import tqdm import requests # type: ignore[import] def _download_dataset_from_http(url: str, download_path: str) -> None: """Donwload the dataset from a given url Parameters ---------- url : string URL for...
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CARL-main/carl/envs/rna/data/download_and_build_rfam_learn.sh
#!/usr/bin/env bash # So far RNA has been tested only on linux systems mkdir -p data/rfam_learn/{raw,test,train,validation} cd data/ wget https://www.dropbox.com/s/cfhnkzdx4ciy7zf/rfam_learn.tar.gz?dl=1 -O rfam_learn.tar.gz tar xf rfam_learn.tar.gz rm -f rfam_learn.tar.gz
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CARL-main/carl/envs/rna/data/download_and_build_rfam_taneda.sh
# So far RNA has been tested only on linux systems cd data/ mkdir rfam_taneda cd rfam_taneda wget rna.eit.hirosaki-u.ac.jp/modena/v0028/linux/modena.dataset.tar.gz tar -xf modena.dataset.tar.gz rm -f modena.dataset.tar.gz rm -rf ct_version i=1 while [[ i -le 30 ]]; do if [ $i == 23 ]; then : elif [[ $i ...
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CARL-main/carl/envs/rna/data/parse_dot_brackets.py
# flake8: noqa: F401 # isort: skip_file from email.generator import Generator from pathlib import Path from typing import List def parse_dot_brackets( dataset: str, data_dir: str, target_structure_ids: List[int] = None, target_structure_path: Path = None, ) -> List[str]: """Generate the targets ...
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CARL-main/carl/envs/rna/data/secondaries_to_single_files.sh
# So far RNA has been tested only on linux systems DATAPATH=$1 SECONDARY_FILE=$2 NUM_SECONDARIES=$(cat $SECONDARY_FILE | wc -l ) i=1; while [[ i -le $NUM_SECONDARIES ]]; do awk "NR==$i{print;exit}" $SECONDARY_FILE > $DATAPATH/$i.rna; let i=$i+1; done Footer
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CARL-main/carl/utils/__init__.py
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CARL-main/carl/utils/trial_logger.py
from typing import Union import argparse from pathlib import Path import configargparse import pandas as pd from carl.utils.types import Context class TrialLogger(object): """ Holds all train arguments and sets up logging directory and stables baselines logging, writes trial setup and writes context fe...
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CARL-main/carl/utils/types.py
from typing import Any, Dict, List, TypeVar, Union import numpy as np Context = Dict[str, Any] Contexts = Dict[Any, Context] Vector = Union[List[Any], np.ndarray] ObsType = TypeVar("ObsType")
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CARL-main/carl/utils/doc_building/__init__.py
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CARL-main/carl/utils/doc_building/build.py
from typing import Dict, Tuple from pathlib import Path import numpy as np import pandas as pd from gym import spaces import carl.envs # JUST FOR DOCS / is dynamic in code!! MARIO_OBSERVATION_SPACE = spaces.Box( low=0, high=255, shape=[4, 64, 64], dtype=np.uint8, ) # is dynamic in code MARIO_ACTION...
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CARL-main/carl/utils/doc_building/plot_context_space.py
""" Boxplot - number of context features - percentage of continuous CFs - number of CFs changing the dynamics - number of CFs changing the reward """ from __future__ import annotations if __name__ == "__main__": from pathlib import Path import matplotlib.pyplot as plt import numpy as np import pandas ...
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CARL-main/carl/utils/doc_building/plot_radar.py
from __future__ import annotations if __name__ == "__main__": from pathlib import Path import matplotlib.pyplot as plt import numpy as np import pandas as pd import seaborn as sns from carl.utils.doc_building.plotting import radar_factory env_context_feature_names = { "CARLMounta...
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CARL-main/carl/utils/doc_building/plotting.py
from typing import Any, Dict, List, Tuple import numpy as np from matplotlib.lines import Line2D from matplotlib.patches import Circle, RegularPolygon from matplotlib.path import Path from matplotlib.projections import register_projection from matplotlib.projections.polar import PolarAxes from matplotlib.spines import...
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CARL-main/carl/utils/doc_building/print_tables.py
if __name__ == "__main__": from typing import List from pathlib import Path import matplotlib.pyplot as plt import numpy as np import pandas as pd import seaborn as sns from matplotlib.offsetbox import AnchoredText import carl.envs def plot_context_feature_freq( context_f...
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CARL-main/carl/utils/doc_building/render_brax_env.py
if __name__ == "__main__": from typing import List import brax import jax from brax import envs from brax.io import html from IPython.display import HTML env_name = "fetch" # @param ['ant', 'humanoid', 'fetch', 'grasp', 'halfcheetah', 'ur5e', 'reacher'] env_fn = envs.create_fn(env_nam...
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CARL-main/docs/conf.py
import os, sys sys.path.insert(0, os.path.abspath("..")) import automl_sphinx_theme # Must come after the path injection above from carl import copyright, author, version, name options = {"copyright": copyright, "author": author, "version": version, "versions": { ...
1,301
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CARL-main/docs/themes/smac/docs-navbar.html
<div class="container-xl"> <div id="navbar-start"> {% for navbar_item in theme_navbar_start %} {% include navbar_item %} {% endfor %} </div> <button class="navbar-toggler" type="button" data-toggle="collapse" data-target="#navbar-collapsible" aria-controls="navbar-collapsible" aria-expanded="false" ...
995
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CARL-main/docs/themes/smac/docs-sidebar.html
0
0
0
html
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CARL-main/docs/themes/smac/footer.html
<footer class="footer mt-5 mt-md-0"> <div class="container"> {% for footer_item in theme_footer_items %} <div class="footer-item"> {% include footer_item %} </div> {% endfor %} </div> </footer>
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html
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CARL-main/docs/themes/smac/gc.html
<li class="dropdown"> <a href="#" class="dropdown-toggle" data-toggle="dropdown">{{ _('Site') }} <b class="caret"></b></a> <ul class="dropdown-menu globaltoc">{{ toctree(maxdepth=10) }}</ul> </li>
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CARL-main/docs/themes/smac/icon-links.html
{%- macro icon_link_nav_item(url, icon, name) -%} {%- if url | length > 2 %} <li class="nav-item"> <a class="nav-link" href="{{ url }}" rel="noopener" target="_blank" title="{{ _(name) }}"> <span><i class="{{ icon }}"></i></span> <label class="sr-only">{{ _(name) }}</label> ...
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CARL-main/docs/themes/smac/layout.html
{%- extends "basic/layout.html" %} {%- import "static/webpack-macros.html" as _webpack with context %} {%- block css %} {{ _webpack.head_pre_bootstrap() }} {{ _webpack.head_pre_icons() }} {% block fonts %} {{ _webpack.head_pre_fonts() }} {% endblock %} {{- css() }} {{ _webpack.head_js_pre...
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CARL-main/docs/themes/smac/search-field.html
<form class="bd-search align-items-center" action="{{ pathto('search') }}" method="get" style="width: 100%;"> <i class="icon fas fa-search"></i> <input type="search" class="form-control" name="q" id="search-input" placeholder="{{ _(theme_search_bar_text) }}" aria-label="{{ theme_search_bar_text }}" autocomplete="of...
334
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CARL-main/docs/themes/smac/smac_theme.py
""" Bootstrap-based sphinx theme from the PyData community """ # flake8: noqa: E402 # mypy: ignore-errors import os from sphinx.errors import ExtensionError from sphinx.util import logging from sphinx.environment.adapters.toctree import TocTree from sphinx import addnodes import jinja2 from bs4 import BeautifulSoup ...
22,899
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CARL-main/docs/themes/smac/title.html
<h4 class="mt-0 mb-0">{{ project }}</h4> <div class="mb-3">v{{ version }}</div>
79
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CARL-main/docs/themes/smac/static/webpack-macros.html
<!-- these macros are generated by "yarn build:production". do not edit by hand. --> {% macro head_pre_icons() %} <link rel="stylesheet" href="{{ pathto('_static/vendor/fontawesome/5.13.0/css/all.min.css', 1) }}"> <link rel="preload" as="font" type="font/woff2" crossorigin href="{{ pathto('_static/vendor/fo...
1,094
42.8
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CARL-main/docs/themes/smac/static/css/custom.css
.bd-search { margin: 0; padding-left: 0; padding-right: 0; } .bd-search .icon { left: 10px; } #navbar-collapsible { padding: 0; } #navbar-icon-links { margin: 0 15px 0 0; } .navbar-nav { flex-direction: row; } .navbar-light .navbar-nav li a.nav-link { padding: 0 5px 0 0; } @media (...
2,464
20.25
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css
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CARL-main/docs/themes/smac/static/css/index.ac9c05f7c49ca1e1f876c6e36360ea26.css
/*! * Bootstrap v4.6.0 (https://getbootstrap.com/) * Copyright 2011-2021 The Bootstrap Authors * Copyright 2011-2021 Twitter, Inc. * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE) */:root{--blue:#007bff;--indigo:#6610f2;--purple:#6f42c1;--pink:#e83e8c;--red:#dc3545;--orange:#fd7e14;--yell...
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css
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CARL-main/docs/themes/smac/static/css/theme.css
/* Provided by the Sphinx base theme template at build time */ @import "../basic.css"; :root { /***************************************************************************** * Theme config **/ --pst-header-height: 60px; /***************************************************************************** * Font ...
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css
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CARL-main/docs/themes/smac/static/vendor/fontawesome/5.13.0/css/all.min.css
/*! * Font Awesome Free 5.13.0 by @fontawesome - https://fontawesome.com * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) */ .fa,.fab,.fad,.fal,.far,.fas{-moz-osx-font-smoothing:grayscale;-webkit-font-smoothing:antialiased;display:inline-block;font-style:norm...
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css
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CARL-main/docs/themes/smac/templates/copyright.html
<p class="copyright"> {%- if hasdoc('copyright') %} {% trans path=pathto('copyright'), copyright=copyright|e %}&copy; <a href="{{ path }}">Copyright</a> {{ copyright }}.{% endtrans %}<br> {%- else %} {% trans copyright=copyright|e %}&copy; Copyright {{ copyright }}.{% endtrans %}<br> {%- endif %} </p>
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CARL-main/docs/themes/smac/templates/edit-this-page.html
{% if sourcename is defined and theme_use_edit_page_button==true and page_source_suffix %} {% set src = sourcename.split('.') %} <div class="tocsection editthispage"> <a href="{{ get_edit_url() }}"> <i class="fas fa-pencil-alt"></i> {{ _("Edit this page") }} </a> </div> {% endif %}
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CARL-main/docs/themes/smac/templates/last-updated.html
<p class="last-updated"> {% trans last_updated=last_updated|e %}Last updated on {{ last_updated }}.{% endtrans %}<br> </p>
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CARL-main/docs/themes/smac/templates/navbar-icon-links.html
{%- block icon_links -%} {%- include "icon-links.html" with context -%} {%- endblock %}
87
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html
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CARL-main/docs/themes/smac/templates/navbar-logo.html
{% if logo %} {% if not theme_logo_link %} <a class="navbar-brand" href="{{ pathto(master_doc) }}"> <img src="{{ pathto('_static/' + logo, 1) }}" class="logo" alt="logo"> </a> {% elif theme_logo_link[:4] == 'http' %} <a class="navbar-brand" href="{{ theme_logo_link }}"> <img src="{{ pathto('_static/' + logo, 1) }}"...
639
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html
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CARL-main/docs/themes/smac/templates/navbar-nav.html
<ul id="navbar-main-elements" class="navbar-nav"> {{ generate_nav_html("navbar", maxdepth=1, collapse=True, includehidden=True, titles_only=True) }} {% for external_link in theme_external_links %} <li class="nav-item"> <a class="nav-link nav-external" href="{{ external_link.url }}">{{ _(external_lin...
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50
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html
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CARL-main/docs/themes/smac/templates/page-toc.html
{% set page_toc = generate_toc_html() %} {%- if page_toc | length >= 1 %} <div class="tocsection onthispage pt-5 pb-3"> <i class="fas fa-list"></i> {{ _("On this page") }} </div> {%- endif %} <nav id="bd-toc-nav"> {{ page_toc }} </nav>
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CARL-main/docs/themes/smac/templates/prev-next.html
<!-- Previous / next buttons --> <div class='prev-next-area'> {%- if prev %} <a class='left-prev' id="prev-link" href="{{ prev.link|e }}" title="{{ _('previous') }} {{ _('page') }}"> <i class="fas fa-angle-left"></i> <div class="prev-next-info"> <p class="prev-next-subtitle">{{ _("p...
821
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html
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CARL-main/docs/themes/smac/templates/sidebar-ethical-ads.html
{% if READTHEDOCS %} <div id="ethical-ad-placement" class="flat" data-ea-publisher="readthedocs" data-ea-type="readthedocs-sidebar" data-ea-manual="true" ></div> {% endif %}
184
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CARL-main/docs/themes/smac/templates/sidebar-nav-bs.html
<nav class="bd-links" id="bd-docs-nav" aria-label="{{ _('Main navigation') }}"> <div class="bd-toc-item active"> {{ generate_nav_html("sidebar", maxdepth=theme_navigation_depth|int, collapse=theme_collapse_navigation|tobool, includehidden=...
388
37.9
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html
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CARL-main/docs/themes/smac/templates/sphinx-version.html
<p class="sphinx-version"> {% trans sphinx_version=sphinx_version|e %}Created using <a href="http://sphinx-doc.org/">Sphinx</a> {{ sphinx_version }}. Template is modified version of <a href="https://pydata-sphinx-theme.readthedocs.io">PyData Sphinx Theme</a>. {% endtrans %}<br> </p>
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CARL-main/examples/demo_carracing.py
""" Code adapted from gym.envs.box2d.car_racing.py """ from typing import Any import numpy as np import gym import time import pygame from carl.envs.box2d.carl_vehicle_racing import CARLVehicleRacingEnv, VEHICLE_NAMES if __name__ == "__main__": from pyglet.window import key a = np.array([0.0, 0.0, 0.0]) ...
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CARL-main/examples/demo_heuristic_lunarlander.py
from typing import Union, Optional from gym.envs.box2d.lunar_lander import heuristic import gym.envs.box2d.lunar_lander as lunar_lander from carl.envs import CARLLunarLanderEnv def demo_heuristic_lander( env: Union[ CARLLunarLanderEnv, lunar_lander.LunarLander, lunar_lander.LunarLanderContinuous ], ...
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CARL-main/examples/try_dm_control.py
# flake8: noqa: F401 # type: ignore import matplotlib.pyplot as plt from carl.envs import CARLDmcFishEnv from carl.envs import CARLDmcFishEnv_defaults as fish_default from carl.envs import CARLDmcFishEnv_mask as fish_mask from carl.envs import CARLDmcQuadrupedEnv from carl.envs import CARLDmcQuadrupedEnv_defaults as q...
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CARL-main/test/test_CARLEnv.py
from typing import Any, Dict import unittest import numpy as np from carl.envs.classic_control.carl_pendulum import CARLPendulumEnv from carl.utils.types import Context class TestStateConstruction(unittest.TestCase): def test_hiddenstate(self): """ Test if we set hide_context = True that we get...
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CARL-main/test/test_all_envs.py
import unittest import numpy as np import carl.envs class TestInitEnvs(unittest.TestCase): def test_init_all_envs(self): global_vars = vars(carl.envs) mustinclude = "CARL" forbidden = ["defaults", "bounds", "mask"] for varname, var in global_vars.items(): if mustinclu...
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