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 enum import IntEnum
from typing import Dict, Set, List, Optional
from .isa_loader import InstructionSet
from .interfaces import Coverage, EquivalenceClass, TestCase, Executor, Model, Analyser, \
ExecutionTrace, TracedInstruction, Instruction, RegisterOperand, OT
from .x86.x86_generator import X86TargetDesc
fr... | /revizor_fuzzer-1.2.3.tar.gz/revizor_fuzzer-1.2.3/revizor/coverage.py | 0.776029 | 0.342462 | coverage.py | pypi |
from typing import Tuple, Dict, Type, List, Callable
from . import input_generator, analyser, coverage, postprocessor, interfaces, model
from .x86 import x86_model, x86_executor, x86_fuzzer, x86_generator, get_spec
from .config import CONF, ConfigException
GENERATORS: Dict[str, Type[interfaces.Generator]] = {
"x8... | /revizor_fuzzer-1.2.3.tar.gz/revizor_fuzzer-1.2.3/revizor/factory.py | 0.799051 | 0.317982 | factory.py | pypi |
from typing import List
# x86_option_values attribute MUST be the first attribute in the file
x86_option_values = {
'executor_mode': ['P+P', 'F+R', 'E+R', 'PP+P'], # 'GPR' is intentionally left out
'permitted_faults': [
'DE-zero', 'DE-overflow', 'UD', 'UD-vtx', 'UD-svm', 'PF-present', 'PF-writable', '... | /revizor_fuzzer-1.2.3.tar.gz/revizor_fuzzer-1.2.3/revizor/x86/x86_config.py | 0.732018 | 0.372676 | x86_config.py | pypi |
# RevLib
Simple and efficient RevNet-Library for PyTorch with XLA and DeepSpeed support and parameter offload
## Table of Contents
* [RevLib](#revlib)
* [Table Of Contents](#table-of-contents)
* [Features](#features)
* [Getting Started](#getting-started)
* [Installation](#installation)
* [Exa... | /revlib-1.7.0.tar.gz/revlib-1.7.0/README.md | 0.950423 | 0.916596 | README.md | pypi |
import dateutil.parser
import json
from datetime import timedelta
class Field(object):
def __init__(self, source=None):
self.source = source
self.client = None
def convert(self, value, client):
return value
class StringField(Field):
def convert(self, value, client):
if... | /revo-client-0.9.0.tar.gz/revo-client-0.9.0/myotest/wrapper.py | 0.624064 | 0.284762 | wrapper.py | pypi |
import re
import pandas as pd
from uuid import uuid4
from datetime import date
from dateutil.relativedelta import relativedelta
from myotest.wrapper import (
WrapperObject, StringField, DateTimeField, ListField,
IDField, FloatField, DurationField, LinkField,
DictField, DateField, IntegerField, BooleanFiel... | /revo-client-0.9.0.tar.gz/revo-client-0.9.0/myotest/models.py | 0.622115 | 0.226677 | models.py | pypi |
from __future__ import annotations
import mimetypes
from typing import TYPE_CHECKING
from .enums import AssetType
from .utils import Ulid
if TYPE_CHECKING:
from io import IOBase
from .state import State
from .types import File as FilePayload
__all__ = ("Asset", "PartialAsset")
class Asset(Ulid):
... | /revolt_baidu.py-0.0.5.tar.gz/revolt_baidu.py-0.0.5/revolt/asset.py | 0.929832 | 0.278367 | asset.py | pypi |
from __future__ import annotations
from typing import TYPE_CHECKING, AsyncGenerator, Optional
from .types.message import Component
from .enums import SortType
if TYPE_CHECKING:
from .embed import SendableEmbed
from .file import File
from .message import Masquerade, Message, MessageInteractions, MessageR... | /revolt_baidu.py-0.0.5.tar.gz/revolt_baidu.py-0.0.5/revolt/messageable.py | 0.936742 | 0.22072 | messageable.py | pypi |
from __future__ import annotations
import datetime
from typing import TYPE_CHECKING, Any, Coroutine, Optional, Union
from .types.message import Component
from .asset import Asset, PartialAsset
from .channel import DMChannel, GroupDMChannel, TextChannel, SavedMessageChannel
from .embed import Embed, SendableEmbed, t... | /revolt_baidu.py-0.0.5.tar.gz/revolt_baidu.py-0.0.5/revolt/message.py | 0.860765 | 0.266003 | message.py | pypi |
from __future__ import annotations
from typing import TYPE_CHECKING
from .asset import Asset
from .utils import Ulid
if TYPE_CHECKING:
from .state import State
from .channel import Channel
from .server import Server
from .types import Invite as InvitePayload
from .user import User
__all__ = ("... | /revolt_baidu.py-0.0.5.tar.gz/revolt_baidu.py-0.0.5/revolt/invite.py | 0.89648 | 0.161221 | invite.py | pypi |
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Optional, Union
from .asset import Asset
from .enums import ChannelType
from .messageable import Messageable
from .permissions import Permissions, PermissionsOverwrite
from .utils import Missing, Ulid
from abc import abstractmethod
if TYPE_CHE... | /revolt_baidu.py-0.0.5.tar.gz/revolt_baidu.py-0.0.5/revolt/channel.py | 0.926611 | 0.17515 | channel.py | pypi |
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Optional
from .permissions import Overwrite, PermissionsOverwrite
from .utils import Missing, Ulid
if TYPE_CHECKING:
from .server import Server
from .state import State
from .types import Role as RolePayload
__all__ = ("Role",)
... | /revolt_baidu.py-0.0.5.tar.gz/revolt_baidu.py-0.0.5/revolt/role.py | 0.932161 | 0.317281 | role.py | pypi |
from __future__ import annotations
import datetime
import inspect
from contextlib import asynccontextmanager
from operator import attrgetter
from typing import Any, Callable, Coroutine, Iterable, Literal, TypeVar, Union
import ulid
from aiohttp import ClientSession
from typing_extensions import ParamSpec
__all__ = (... | /revolt_baidu.py-0.0.5.tar.gz/revolt_baidu.py-0.0.5/revolt/utils.py | 0.829423 | 0.224002 | utils.py | pypi |
from __future__ import annotations
from typing import TYPE_CHECKING, NamedTuple, Optional, Union
from weakref import WeakValueDictionary
from .asset import Asset, PartialAsset
from .channel import DMChannel, GroupDMChannel, SavedMessageChannel
from .enums import PresenceType, RelationshipType
from .flags import User... | /revolt_baidu.py-0.0.5.tar.gz/revolt_baidu.py-0.0.5/revolt/user.py | 0.898438 | 0.239216 | user.py | pypi |
from __future__ import annotations
from typing import Callable, Iterator, Optional, Union, overload
from typing_extensions import Self
__all__ = ("Flag", "Flags", "UserBadges")
class Flag:
__slots__ = ("flag", "__doc__")
def __init__(self, func: Callable[[], int]):
self.flag: int = func()
... | /revolt_baidu.py-0.0.5.tar.gz/revolt_baidu.py-0.0.5/revolt/flags.py | 0.912324 | 0.228608 | flags.py | pypi |
from __future__ import annotations
import datetime
from typing import TYPE_CHECKING, Any, Optional
from .utils import _Missing, Missing, parse_timestamp
from .asset import Asset
from .permissions import Permissions
from .permissions_calculator import calculate_permissions
from .user import User
from .file import Fi... | /revolt_baidu.py-0.0.5.tar.gz/revolt_baidu.py-0.0.5/revolt/member.py | 0.922783 | 0.204521 | member.py | pypi |
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Optional
from typing_extensions import Self
from .flags import Flag, Flags
from .types.permissions import Overwrite
__all__ = ("Permissions", "PermissionsOverwrite", "UserPermissions")
class UserPermissions(Flags):
"""Permissions for use... | /revolt_baidu.py-0.0.5.tar.gz/revolt_baidu.py-0.0.5/revolt/permissions.py | 0.897993 | 0.317347 | permissions.py | pypi |
from __future__ import annotations
from typing import TYPE_CHECKING, Optional, cast
from .asset import Asset
from .category import Category
from .invite import Invite
from .permissions import Permissions
from .role import Role
from .utils import Ulid
from .channel import Channel, TextChannel, VoiceChannel
from .membe... | /revolt_baidu.py-0.0.5.tar.gz/revolt_baidu.py-0.0.5/revolt/server.py | 0.922343 | 0.218868 | server.py | pypi |
from __future__ import annotations
from typing import TYPE_CHECKING, TypedDict, Union
from typing_extensions import NotRequired
if TYPE_CHECKING:
from .embed import Embed
from .file import File
__all__ = (
"UserAddContent",
"UserRemoveContent",
"UserJoinedContent",
"UserLeftContent",
"U... | /revolt_baidu.py-0.0.5.tar.gz/revolt_baidu.py-0.0.5/revolt/types/message.py | 0.764716 | 0.164886 | message.py | pypi |
from __future__ import annotations
from typing import TYPE_CHECKING, Literal, TypedDict, Union
from typing_extensions import NotRequired
if TYPE_CHECKING:
from .file import File
__all__ = ("Embed", "SendableEmbed", "WebsiteEmbed", "ImageEmbed", "TextEmbed", "NoneEmbed", "YoutubeSpecial", "TwitchSpecial", "Spoti... | /revolt_baidu.py-0.0.5.tar.gz/revolt_baidu.py-0.0.5/revolt/types/embed.py | 0.72086 | 0.187021 | embed.py | pypi |
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Generic, Optional
import revolt
from revolt.utils import maybe_coroutine
from .command import Command
from .group import Group
from .utils import ClientT_Co_D
if TYPE_CHECKING:
from .view import StringView
from revolt.state import Sta... | /revolt_baidu.py-0.0.5.tar.gz/revolt_baidu.py-0.0.5/revolt/ext/commands/context.py | 0.910379 | 0.160135 | context.py | pypi |
from __future__ import annotations
from typing import Any, Callable, Coroutine, Union, cast
from typing_extensions import TypeVar
import revolt
from .command import Command
from .context import Context
from .errors import (MissingPermissionsError, NotBotOwner, NotServerOwner,
ServerOnly)
from .u... | /revolt_baidu.py-0.0.5.tar.gz/revolt_baidu.py-0.0.5/revolt/ext/commands/checks.py | 0.886457 | 0.155751 | checks.py | pypi |
from __future__ import annotations
import inspect
import traceback
from contextlib import suppress
from typing import (TYPE_CHECKING, Annotated, Any, Callable, Coroutine,
Generic, Literal, Optional, Union, get_args, get_origin)
from typing_extensions import ParamSpec
from revolt.utils import maybe... | /revolt_baidu.py-0.0.5.tar.gz/revolt_baidu.py-0.0.5/revolt/ext/commands/command.py | 0.915013 | 0.153296 | command.py | pypi |
from revolt import RevoltError
__all__ = (
"CommandError",
"CommandNotFound",
"NoClosingQuote",
"CheckError",
"NotBotOwner",
"NotServerOwner",
"ServerOnly",
"ConverterError",
"InvalidLiteralArgument",
"BadBoolArgument",
"CategoryConverterError",
"ChannelConverterError",
... | /revolt_baidu.py-0.0.5.tar.gz/revolt_baidu.py-0.0.5/revolt/ext/commands/errors.py | 0.826432 | 0.206294 | errors.py | pypi |
from __future__ import annotations
from typing import Any, Callable, Coroutine, Optional
from .command import Command
from .utils import ClientT_Co_D, ClientT_D
__all__ = (
"Group",
"group"
)
class Group(Command[ClientT_Co_D]):
"""Class for holding info about a group command.
Parameters
------... | /revolt_baidu.py-0.0.5.tar.gz/revolt_baidu.py-0.0.5/revolt/ext/commands/group.py | 0.948251 | 0.32013 | group.py | pypi |
from __future__ import annotations
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, Generic, Optional, TypedDict, Union, cast
from typing_extensions import NotRequired
from .cog import Cog
from .command import Command
from .context import Context
from .group import Group
from .utils import Clien... | /revolt_baidu.py-0.0.5.tar.gz/revolt_baidu.py-0.0.5/revolt/ext/commands/help.py | 0.773302 | 0.251998 | help.py | pypi |
from __future__ import annotations
import mimetypes
from typing import TYPE_CHECKING
from .enums import AssetType
from .utils import Ulid
if TYPE_CHECKING:
from io import IOBase
from .state import State
from .types import File as FilePayload
__all__ = ("Asset", "PartialAsset")
class Asset(Ulid):
... | /revolt_py-0.1.11-py3-none-any.whl/revolt/asset.py | 0.916159 | 0.277332 | asset.py | pypi |
from __future__ import annotations
from typing import TYPE_CHECKING, Optional
from .enums import SortType
if TYPE_CHECKING:
from .embed import SendableEmbed
from .file import File
from .message import Masquerade, Message, MessageInteractions, MessageReply
from .state import State
__all__ = ("Messag... | /revolt_py-0.1.11-py3-none-any.whl/revolt/messageable.py | 0.930923 | 0.292038 | messageable.py | pypi |
from __future__ import annotations
import datetime
from typing import TYPE_CHECKING, Any, Coroutine, Optional, Union
from revolt.types.message import SystemMessageContent
from .asset import Asset, PartialAsset
from .channel import DMChannel, GroupDMChannel, TextChannel
from .embed import Embed, SendableEmbed, to_emb... | /revolt_py-0.1.11-py3-none-any.whl/revolt/message.py | 0.848863 | 0.249639 | message.py | pypi |
from __future__ import annotations
from typing import TYPE_CHECKING
from .asset import Asset
from .utils import Ulid
if TYPE_CHECKING:
from .state import State
from .channel import Channel
from .server import Server
from .types import Invite as InvitePayload
from .user import User
__all__ = ("... | /revolt_py-0.1.11-py3-none-any.whl/revolt/invite.py | 0.89648 | 0.161221 | invite.py | pypi |
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Optional, Union
from .asset import Asset
from .enums import ChannelType
from .messageable import Messageable
from .permissions import Permissions, PermissionsOverwrite
from .utils import Missing, Ulid
if TYPE_CHECKING:
from .message import... | /revolt_py-0.1.11-py3-none-any.whl/revolt/channel.py | 0.938899 | 0.152347 | channel.py | pypi |
from __future__ import annotations
import asyncio
import logging
from typing import TYPE_CHECKING, Any, Callable, Literal, Optional, Union, cast
import aiohttp
from .channel import (DMChannel, GroupDMChannel, SavedMessageChannel,
TextChannel, VoiceChannel, channel_factory)
from .http import Htt... | /revolt_py-0.1.11-py3-none-any.whl/revolt/client.py | 0.929176 | 0.155816 | client.py | pypi |
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Optional
from .permissions import Overwrite, PermissionsOverwrite
from .utils import Missing, Ulid
if TYPE_CHECKING:
from .server import Server
from .state import State
from .types import Role as RolePayload
__all__ = ("Role",)
... | /revolt_py-0.1.11-py3-none-any.whl/revolt/role.py | 0.932161 | 0.317281 | role.py | pypi |
import datetime
import inspect
from contextlib import asynccontextmanager
from operator import attrgetter
from typing import Any, Callable, Coroutine, Iterable, Literal, TypeVar, Union
import ulid
from aiohttp import ClientSession
from typing_extensions import ParamSpec
__all__ = ("Missing", "copy_doc", "maybe_corout... | /revolt_py-0.1.11-py3-none-any.whl/revolt/utils.py | 0.80954 | 0.219672 | utils.py | pypi |
from __future__ import annotations
from typing import TYPE_CHECKING, NamedTuple, Optional, Union
from weakref import WeakValueDictionary
from .asset import Asset, PartialAsset
from .channel import DMChannel, GroupDMChannel
from .enums import PresenceType, RelationshipType
from .flags import UserBadges
from .messageab... | /revolt_py-0.1.11-py3-none-any.whl/revolt/user.py | 0.919086 | 0.220857 | user.py | pypi |
from __future__ import annotations
from typing import Callable, Iterator, Optional, Union, overload
from typing_extensions import Self
__all__ = ("Flag", "Flags", "UserBadges")
class Flag:
__slots__ = ("flag", "__doc__")
def __init__(self, func: Callable[[], int]):
self.flag: int = func()
... | /revolt_py-0.1.11-py3-none-any.whl/revolt/flags.py | 0.912324 | 0.228608 | flags.py | pypi |
from __future__ import annotations
import datetime
from typing import TYPE_CHECKING, Any, Optional
from .utils import _Missing, Missing
from .asset import Asset
from .permissions import Permissions
from .permissions_calculator import calculate_permissions
from .user import User
from .file import File
if TYPE_CHECK... | /revolt_py-0.1.11-py3-none-any.whl/revolt/member.py | 0.920799 | 0.172764 | member.py | pypi |
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Optional
from typing_extensions import Self
from .flags import Flag, Flags
from .types.permissions import Overwrite
__all__ = ("Permissions", "PermissionsOverwrite", "UserPermissions")
class UserPermissions(Flags):
"""Permissions for use... | /revolt_py-0.1.11-py3-none-any.whl/revolt/permissions.py | 0.897993 | 0.317347 | permissions.py | pypi |
from __future__ import annotations
from typing import TYPE_CHECKING, Optional, cast
from .asset import Asset
from .category import Category
from .invite import Invite
from .permissions import Permissions
from .role import Role
from .utils import Ulid
if TYPE_CHECKING:
from .channel import Channel, TextChannel, V... | /revolt_py-0.1.11-py3-none-any.whl/revolt/server.py | 0.923208 | 0.208904 | server.py | pypi |
from __future__ import annotations
from typing import TYPE_CHECKING, Literal, TypedDict, Union
from typing_extensions import NotRequired
if TYPE_CHECKING:
from .file import File
__all__ = ("Embed", "SendableEmbed", "WebsiteEmbed", "ImageEmbed", "TextEmbed", "NoneEmbed", "YoutubeSpecial", "TwitchSpecial", "Spoti... | /revolt_py-0.1.11-py3-none-any.whl/revolt/types/embed.py | 0.72086 | 0.187021 | embed.py | pypi |
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Generic, Optional
import revolt
from revolt.utils import maybe_coroutine
from .command import Command
from .group import Group
from .utils import ClientCoT
if TYPE_CHECKING:
from .view import StringView
from revolt.state import State
... | /revolt_py-0.1.11-py3-none-any.whl/revolt/ext/commands/context.py | 0.909549 | 0.151812 | context.py | pypi |
from __future__ import annotations
from typing import Any, Callable, Coroutine, Union, cast
from typing_extensions import TypeVar
import revolt
from .command import Command
from .context import Context
from .errors import (MissingPermissionsError, NotBotOwner, NotServerOwner,
ServerOnly)
from .u... | /revolt_py-0.1.11-py3-none-any.whl/revolt/ext/commands/checks.py | 0.8931 | 0.153994 | checks.py | pypi |
from revolt import RevoltError
__all__ = (
"CommandError",
"CommandNotFound",
"NoClosingQuote",
"CheckError",
"NotBotOwner",
"NotServerOwner",
"ServerOnly",
"ConverterError",
"InvalidLiteralArgument",
"BadBoolArgument",
"CategoryConverterError",
"ChannelConverterError",
... | /revolt_py-0.1.11-py3-none-any.whl/revolt/ext/commands/errors.py | 0.826432 | 0.206294 | errors.py | pypi |
from __future__ import annotations
from typing import Any, Callable, Coroutine, Optional
from .command import Command
from .utils import ClientCoT, ClientT
__all__ = (
"Group",
"group"
)
class Group(Command[ClientCoT]):
"""Class for holding info about a group command.
Parameters
-----------
... | /revolt_py-0.1.11-py3-none-any.whl/revolt/ext/commands/group.py | 0.954223 | 0.296476 | group.py | pypi |
from __future__ import annotations
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, Any, Generic, Optional, TypedDict, Union
from typing_extensions import NotRequired
from .cog import Cog
from .command import Command
from .context import Context
from .group import Group
from .utils import Client... | /revolt_py-0.1.11-py3-none-any.whl/revolt/ext/commands/help.py | 0.764804 | 0.197909 | help.py | pypi |
from datetime import date, datetime
import dateutil.parser
from decimal import Decimal
import requests
from typing import Optional, Union
from . import base, utils
class Order(utils._UpdateFromKwargsMixin):
id: str = ""
client = None
public_id: str = ""
merchant_order_ext_ref: str = ""
type: str ... | /revolut-python-0.10.1.tar.gz/revolut-python-0.10.1/revolut/merchant.py | 0.891575 | 0.198413 | merchant.py | pypi |
import csv
from datetime import datetime
import io
from revolut import Amount, Transaction
_CSV_COLUMNS = ["date", "hour", "from_amount", "from_currency",
"to_amount", "to_currency"]
def csv_to_dict(csv_str, separator=","):
""" From a csv string, returns a list of dictionnaries
>>> csv_to_dict("... | /revolut-0.1.4.tar.gz/revolut-0.1.4/revolut_bot/__init__.py | 0.700383 | 0.210969 | __init__.py | pypi |
import code
import re
from typing import Callable
from PySide6.QtCore import (Qt, Signal, QEvent, QSize, )
from PySide6.QtGui import (QTextCharFormat, QBrush, QColor, QFont)
from PySide6.QtWidgets import (QLineEdit, QWidget, QGridLayout, QPlainTextEdit)
class LineEdit(QLineEdit):
"""QLIneEdit with a history buff... | /revolution-eda-0.5.2.tar.gz/revolution-eda-0.5.2/revedaEditor/gui/pythonConsole.py | 0.703651 | 0.179459 | pythonConsole.py | pypi |
import pathlib
class verilogaC:
"""
This class represents an imported verilog-A module.
"""
def __init__(self, pathObj: pathlib.Path):
self._pathObj = pathObj
keyWords = ["analog", "electrical"]
self._vaModule = ''
self.instanceParams = dict()
self.modelParams... | /revolution-eda-0.5.2.tar.gz/revolution-eda-0.5.2/revedaEditor/backend/hdlBackEnd.py | 0.532911 | 0.182826 | hdlBackEnd.py | pypi |
import json
import revedaEditor.common.net as net
import revedaEditor.common.shape as shp
class symbolAttribute(object):
def __init__(self, name: str, definition: str):
self._name = name
self._definition = definition
def __str__(self):
return f'{self.name}: {self.definition}'
d... | /revolution-eda-0.5.2.tar.gz/revolution-eda-0.5.2/revedaEditor/fileio/symbolEncoder.py | 0.719975 | 0.411525 | symbolEncoder.py | pypi |
import logging
"""
_logging.py
websocket - WebSocket client library for Python
Copyright 2023 engn33r
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.... | /revolution.py-5.0.1.4.tar.gz/revolution.py-5.0.1.4/websocket/_logging.py | 0.707 | 0.194502 | _logging.py | pypi |
import os
import socket
import struct
from urllib.parse import unquote, urlparse
"""
_url.py
websocket - WebSocket client library for Python
Copyright 2023 engn33r
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 o... | /revolution.py-5.0.1.4.tar.gz/revolution.py-5.0.1.4/websocket/_url.py | 0.635336 | 0.181825 | _url.py | pypi |
import array
import os
import struct
import sys
from ._exceptions import *
from ._utils import validate_utf8
from threading import Lock
"""
_abnf.py
websocket - WebSocket client library for Python
Copyright 2023 engn33r
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except... | /revolution.py-5.0.1.4.tar.gz/revolution.py-5.0.1.4/websocket/_abnf.py | 0.555435 | 0.169956 | _abnf.py | pypi |
import struct
import warnings
from json import load as jload
from os import access, F_OK, R_OK
from signal import signal, SIG_DFL, SIGINT, SIGTERM
from threading import Thread, Event, Lock
from timeit import default_timer
# Globale Werte
OFF = 0
GREEN = 1
RED = 2
RISING = 31
FALLING = 32
BOTH = 33
warnings.simplefilt... | /revpimodio-1.0.3.tar.gz/revpimodio-1.0.3/revpimodio.py | 0.446012 | 0.237024 | revpimodio.py | pypi |
=======
revrand
=======
.. image:: https://travis-ci.org/NICTA/revrand.svg?branch=master
:target: https://travis-ci.org/NICTA/revrand
.. image:: https://codecov.io/github/NICTA/revrand/coverage.svg?branch=master
:target: https://codecov.io/github/NICTA/revrand?branch=master
----------------------------------... | /revrand-1.0.0.tar.gz/revrand-1.0.0/README.rst | 0.95165 | 0.857291 | README.rst | pypi |
[](https://travis-ci.org/wikimedia/revscoring)
[](https://codecov.io/gh/wikimedia/revscoring)
[:
"""
A torch module with added functionalities.
"""
@property
def is_cuda(self):
ret... | /reward-0.0.4.tar.gz/reward-0.0.4/torchrl/nn/container.py | 0.933005 | 0.566438 | container.py | pypi |
import torchrl.utils as U
class BaseBatcher:
"""
The returned batch will have the shape (num_steps, num_envs, *shape)
"""
def __init__(self, runner, batch_size, transforms=None):
self.runner = runner
self.batch_size = batch_size
self.transforms = transforms or []
self.... | /reward-0.0.4.tar.gz/reward-0.0.4/torchrl/batchers/base_batcher.py | 0.791217 | 0.549882 | base_batcher.py | pypi |
import torchrl.utils as U
from .base_transform import BaseTransform
class StackStates(BaseTransform):
def __init__(self, n, dim=1):
super().__init__()
self.n = n
self.dim = dim
self.ring_buffer = None
self.eval_ring_buffer = None
def transform(self, state):
sta... | /reward-0.0.4.tar.gz/reward-0.0.4/torchrl/batchers/transforms/state_transforms.py | 0.795579 | 0.42925 | state_transforms.py | pypi |
import torch
import torch.nn.functional as F
from torch.distributions.kl import kl_divergence
from torchrl.models import BasePGModel
class SurrogatePGModel(BasePGModel):
r"""
The Surrogate Policy Gradient algorithm instead maximizes a "surrogate" objective, given by:
.. math::
L^{CPI}({\theta})... | /reward-0.0.4.tar.gz/reward-0.0.4/torchrl/models/surrogate_pg_model.py | 0.952042 | 0.578657 | surrogate_pg_model.py | pypi |
from abc import abstractproperty
import torch
from torchrl.distributions import Categorical, Normal
import torchrl.utils as U
from torchrl.models import BaseModel
from torchrl.nn import ActionLinear
class BasePGModel(BaseModel):
"""
Base class for all Policy Gradient Models.
"""
def __init__(self, mo... | /reward-0.0.4.tar.gz/reward-0.0.4/torchrl/models/base_pg_model.py | 0.950595 | 0.398641 | base_pg_model.py | pypi |
import torch
from torchrl.models import SurrogatePGModel
class PPOModel(SurrogatePGModel):
def __init__(
self,
policy_nn_config,
value_nn_config=None,
share_body=False,
ppo_clip_range=0.2,
kl_penalty_coef=1,
kl_target=0.01,
**kwargs
):
se... | /reward-0.0.4.tar.gz/reward-0.0.4/torchrl/models/ppo_model_deprecated.py | 0.847716 | 0.224576 | ppo_model_deprecated.py | pypi |
from abc import ABC, abstractmethod, abstractproperty
from collections import ChainMap
import os
import numpy as np
import torch
import torch.nn as nn
import torchrl.utils as U
from torchrl.nn import ModuleExtended
from multiprocessing import Process
# TODO; Paramters changes, change doc
class BaseModel(ModuleExte... | /reward-0.0.4.tar.gz/reward-0.0.4/torchrl/models/base_model.py | 0.811937 | 0.445891 | base_model.py | pypi |
import torch
import torch.nn.functional as F
from torch.distributions import kl_divergence
from torchrl.models import BasePGModel
class SurrogatePGModel(BasePGModel):
def train(self, batch, num_epochs=1):
batch["actions"] = self._to_tensor(batch["actions"])
batch["advantages"] = self._to_tensor(b... | /reward-0.0.4.tar.gz/reward-0.0.4/torchrl/models/surrogate_pg_model_deprecated.py | 0.787523 | 0.422505 | surrogate_pg_model_deprecated.py | pypi |
import torch
import torchrl.utils as U
from torchrl.models import SurrogatePGModel
from torch.distributions.kl import kl_divergence
class PPOAdaptiveModel(SurrogatePGModel):
"""
Proximal Policy Optimization as described in https://arxiv.org/pdf/1707.06347.pdf.
Parameters
----------
num_epochs: i... | /reward-0.0.4.tar.gz/reward-0.0.4/torchrl/models/ppo_adaptive_model.py | 0.880951 | 0.360433 | ppo_adaptive_model.py | pypi |
import torch
import torch.nn.functional as F
from torch.distributions import Categorical, Normal
import torchrl.utils as U
from torchrl.models import BaseModel
class BasePGModel(BaseModel):
"""
Base class for all Policy Gradient Models, has some basic functionalities.
Parameters
----------
polic... | /reward-0.0.4.tar.gz/reward-0.0.4/torchrl/models/base_pg_model_deprecated.py | 0.943634 | 0.464051 | base_pg_model_deprecated.py | pypi |
from collections import OrderedDict
from torchrl.utils import get_obj, Config
from torchrl.nn import SequentialExtended
def auto_input_shape(obj_config, input_shape):
"""
Create the right input parameter for the type of layer
Parameters
----------
obj_config: dict
A dict containing the fu... | /reward-0.0.4.tar.gz/reward-0.0.4/torchrl/utils/net_builder.py | 0.949646 | 0.516595 | net_builder.py | pypi |
import numpy as np
import torch
from torch.utils.data import DataLoader, TensorDataset
from torchrl.utils.memories import SimpleMemory
from torchrl.utils import to_tensor, join_first_dims
class Batch(SimpleMemory):
def __len__(self):
return len(self["state_t"])
def apply_to_all(self, func):
... | /reward-0.0.4.tar.gz/reward-0.0.4/torchrl/utils/batch.py | 0.788665 | 0.536616 | batch.py | pypi |
import numpy as np
import torch
from numbers import Number
from collections import OrderedDict
from torch.autograd import Variable
from torchrl.utils import EPSILON
import cv2
from functools import wraps
def get_obj(config):
"""
Creates an object based on the given config.
Parameters
----------
c... | /reward-0.0.4.tar.gz/reward-0.0.4/torchrl/utils/utils.py | 0.858837 | 0.611034 | utils.py | pypi |
from abc import ABCMeta
from collections import OrderedDict
import yaml
from yaml.representer import Representer
# Support for abstract classes
Representer.add_representer(ABCMeta, Representer.represent_name)
class Config:
"""
Configuration object used for initializing an Agent.
It maintains the order f... | /reward-0.0.4.tar.gz/reward-0.0.4/torchrl/utils/config/config.py | 0.882782 | 0.233215 | config.py | pypi |
import gym
from torchrl.envs.base_env import BaseEnv
import torchrl.utils as U
class GymEnv(BaseEnv):
"""
Creates and wraps a gym environment.
Parameters
----------
env_name: str
The Gym ID of the env. For a list of available envs check
`this <https://gym.openai.com/envs/>`_ page.... | /reward-0.0.4.tar.gz/reward-0.0.4/torchrl/envs/gym_env.py | 0.94651 | 0.630059 | gym_env.py | pypi |
from abc import ABC, abstractmethod
class BaseEnv(ABC):
"""
Abstract base class used for implementing new environments.
Includes some basic functionalities, like the option to use a running mean
and standard deviation for normalizing states.
Parameters
----------
env_name: str
Th... | /reward-0.0.4.tar.gz/reward-0.0.4/torchrl/envs/base_env.py | 0.963532 | 0.670221 | base_env.py | pypi |
from typing import Generic, TypeVar, Any, SupportsFloat
ObsType = TypeVar("ObsType")
ActType = TypeVar("ActType")
RenderFrame = TypeVar("RenderFrame")
class RewardsEnv(Generic[ObsType, ActType]):
"""
rewards_envs generic class for implementing and integrating the rewards.ai agents environment. An environmen... | /rewards_envs-0.1.3.tar.gz/rewards_envs-0.1.3/rewards_envs/core.py | 0.94913 | 0.870982 | core.py | pypi |
import os
import math
import pygame
from pathlib import Path
import matplotlib.pyplot as plt
from pydantic import BaseModel, Field
from typing import Any, Callable, Dict, List, Optional, Tuple, Union, SupportsFloat
class CarConfig(BaseModel):
car_scale: int = Field(default=500)
drive_factor: int = Field(defau... | /rewards_envs-0.1.3.tar.gz/rewards_envs-0.1.3/rewards_envs/engines/pygame/car_race/car_race.py | 0.840324 | 0.395543 | car_race.py | pypi |
import os
import json
import torch
import shutil
from .config import CONFIG
from typing import Optional, Union, Any, Dict
class RootMeanSquaredError(torch.nn.Module):
def __init__(self):
"""Root mean squared error function in PyTorch"""
super(RootMeanSquaredError, self).__init__()
def for... | /rewards_experimental-0.0.2-py3-none-any.whl/rewards_experimental/utils.py | 0.742141 | 0.216746 | utils.py | pypi |
import os
import torch
import random
import numpy as np
import torch.nn as nn
import torch.optim as optim
from typing import Any, List, Union
from .agent import Agent
from .utils import RootMeanSquaredError, MeanAbsoluteError
class QTrainer(Agent):
def __init__(self, **training_params):
self.lr = t... | /rewards_experimental-0.0.2-py3-none-any.whl/rewards_experimental/trainer.py | 0.847842 | 0.346196 | trainer.py | pypi |
# **rewards**
### A low code sdk for crearing custom environments and deep RL agents.
<br>
### **Installation**
**`[linux]`**
Installing `rewards` is easy in linux. First clone the repository by running
```bash
git clone https://github.com/rewards/rewards.git
```
One cloned go to the repository and make sure... | /rewards-1.0.2.tar.gz/rewards-1.0.2/README.md | 0.790247 | 0.873593 | README.md | pypi |
import inspect
import time
from dataclasses import dataclass
from typing import Callable, List, Optional, Tuple, Union
import pandas as pd
import pygame
import torch
import wandb
from .envs.car import CarGame
from .models import LinearQNet
from .trainer import QTrainer
# TODO: Make a video recording feature (that wi... | /rewardsAI-0.0.9-py3-none-any.whl/rewards/workflow.py | 0.613352 | 0.253613 | workflow.py | pypi |
import os
import random
from collections import deque
from dataclasses import dataclass
from pathlib import Path
from typing import Any, List, Optional, Union
import numpy as np
import torch
# TODO:
# - Use Hydra for configuration management
@dataclass
class AgentConf:
MAX_MEMORY: int = 100000
BATCH_SIZE: i... | /rewardsAI-0.0.9-py3-none-any.whl/rewards/agent.py | 0.704567 | 0.525125 | agent.py | pypi |
import os
import random
from typing import Any, List, Union
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from .agent import Agent
# TODO:
# - Move RMSE, MAE to utils module
class RootMeanSquaredError(torch.nn.Module):
def __init__(self):
"""Root mean squared error f... | /rewardsAI-0.0.9-py3-none-any.whl/rewards/trainer.py | 0.824533 | 0.555073 | trainer.py | pypi |
import os
from typing import List, Optional
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
class DeepNet(nn.Module):
"""
Base Class for all the models that will be added from here and inherited from this class.
"""
def __init__(self) -> None:
s... | /rewardsAI-0.0.9-py3-none-any.whl/rewards/models.py | 0.846451 | 0.290723 | models.py | pypi |
"""Network clients used to communicate with the Rewind server."""
import logging
import zmq
logger = logging.getLogger(__name__)
class QueryException(Exception):
"""Raised when rewind server returns an error.
Usually this exception means you have used a non-existing query key.
"""
pass
def q... | /rewind-client-0.3.0.tar.gz/rewind-client-0.3.0/rewind/client/__init__.py | 0.890413 | 0.49646 | __init__.py | pypi |
=======
Rewind
=======
.. image:: https://secure.travis-ci.org/JensRantil/rewind.png?branch=develop
:target: http://travis-ci.org/#!/JensRantil/rewind
Have you ever been nervous of all those DBMSs schema changes when you
are deploying your applications? They are gonna take too long, or break
backward compatibility... | /rewind-0.3.1.tar.gz/rewind-0.3.1/README.rst | 0.806319 | 0.818156 | README.rst | pypi |
from warnings import warn
from werkzeug.datastructures import ImmutableMultiDict
class dictobj(dict):
""" a dict-like object:
* whose values can also be get/set using the `obj.key` notation
* object[key] returns None if the key is not known
"""
def __getattr__(self, name):
return self[na... | /rework_ui-0.14.0-py3-none-any.whl/rework_ui/helper.py | 0.91487 | 0.339745 | helper.py | pypi |
import analyzing_data_slice_win_design
import global_data
import numpy as np
import ctypes
from PyQt5 import QtWidgets
class AnalyzingDataSliceWin(QtWidgets.QMainWindow, analyzing_data_slice_win_design.Ui_MainWindow):
def __init__(self):
super().__init__()
self.setupUi(self)
self.setFixedS... | /rewrite_for_file-0.1.0.tar.gz/rewrite_for_file-0.1.0/rewrite_for_file/AnalyzingDataSliceWin.py | 0.41478 | 0.223398 | AnalyzingDataSliceWin.py | pypi |
# Rex: an open-source quadruped robot
The goal of this project is to train an open-source 3D printed quadruped robot exploring
`Reinforcement Learning` and `OpenAI Gym`. The aim is to let the robot learns domestic and generic tasks in the simulations and then
successfully transfer the knowledg... | /rex_gym-0.2.7.tar.gz/rex_gym-0.2.7/README.md | 0.855851 | 0.989491 | README.md | pypi |
r"""Running a pre-trained ppo agent on rex environments"""
import logging
import os
import site
import time
import tensorflow.compat.v1 as tf
from rex_gym.agents.scripts import utility
from rex_gym.agents.ppo import simple_ppo_agent
from rex_gym.util import flag_mapper
class PolicyPlayer:
def __init__(self, env_... | /rex_gym-0.2.7.tar.gz/rex_gym-0.2.7/rex_gym/playground/policy_player.py | 0.510985 | 0.298542 | policy_player.py | pypi |
"""Memory that stores episodes."""
import tensorflow as tf
class EpisodeMemory(object):
def __init__(self, template, capacity, max_length, scope):
"""
Create a memory that stores episodes.
Each transition tuple consists of quantities specified by the template.
These quantities wo... | /rex_gym-0.2.7.tar.gz/rex_gym-0.2.7/rex_gym/agents/ppo/memory.py | 0.970951 | 0.667486 | memory.py | pypi |
"""Normalize tensors based on streaming estimates of mean and variance."""
import tensorflow as tf
class StreamingNormalize(object):
"""Normalize tensors based on streaming estimates of mean and variance."""
def __init__(self, template, center=True, scale=True, clip=10, name='normalize'):
"""Normaliz... | /rex_gym-0.2.7.tar.gz/rex_gym-0.2.7/rex_gym/agents/ppo/normalize.py | 0.985936 | 0.704376 | normalize.py | pypi |
import tensorflow as tf
from . import normalize
from ..scripts import utility
class SimplePPOPolicy(object):
"""A simple PPO policy that is independent to the PPO infrastructure.
This class restores the policy network from a tensorflow checkpoint that was
learned from PPO training. The purpose of this class ... | /rex_gym-0.2.7.tar.gz/rex_gym-0.2.7/rex_gym/agents/ppo/simple_ppo_agent.py | 0.941021 | 0.590927 | simple_ppo_agent.py | pypi |
"""Utilities for the PPO algorithm."""
import collections
import math
import re
import tensorflow as tf
from tensorflow.python.client import device_lib
def create_nested_vars(tensors):
"""Create variables matching a nested tuple of tensors.
Args:
tensors: Nested tuple of list of tensors.
Returns:
N... | /rex_gym-0.2.7.tar.gz/rex_gym-0.2.7/rex_gym/agents/ppo/utility.py | 0.948238 | 0.562237 | utility.py | pypi |
import collections
import tensorflow as tf
import tensorflow_probability as tfp
from . import memory
from . import normalize
from . import utility
_NetworkOutput = collections.namedtuple('NetworkOutput', 'policy, mean, logstd, value, state')
class PPOAlgorithm(object):
"""A vectorized implementation of the PPO... | /rex_gym-0.2.7.tar.gz/rex_gym-0.2.7/rex_gym/agents/ppo/algorithm.py | 0.939032 | 0.296629 | algorithm.py | pypi |
"""Networks for the PPO algorithm defined as recurrent cells."""
import tensorflow as tf
_MEAN_WEIGHTS_INITIALIZER = tf.contrib.layers.variance_scaling_initializer(factor=0.1)
_LOGSTD_INITIALIZER = tf.random_normal_initializer(-1, 1e-10)
class LinearGaussianPolicy(tf.contrib.rnn.RNNCell):
"""Indepent linear netw... | /rex_gym-0.2.7.tar.gz/rex_gym-0.2.7/rex_gym/agents/scripts/networks.py | 0.942639 | 0.483526 | networks.py | pypi |
"""Example configurations using the PPO algorithm."""
from ..ppo.algorithm import PPOAlgorithm
from ..scripts import networks
def default():
"""Default configuration for PPO."""
# General
algorithm = PPOAlgorithm
num_agents = 25
eval_episodes = 25
use_gpu = False
# Network
network = ... | /rex_gym-0.2.7.tar.gz/rex_gym-0.2.7/rex_gym/agents/scripts/configs.py | 0.89217 | 0.407805 | configs.py | pypi |
"""Utilities for using reinforcement learning algorithms."""
import logging
import os
import re
import warnings
import ruamel.yaml as yaml
import tensorflow as tf
from rex_gym.agents.tools import wrappers
from rex_gym.agents.tools.attr_dict import AttrDict
from rex_gym.agents.tools.batch_env import BatchEnv
from rex_... | /rex_gym-0.2.7.tar.gz/rex_gym-0.2.7/rex_gym/agents/scripts/utility.py | 0.88833 | 0.42674 | utility.py | pypi |
"""Batch of environments inside the TensorFlow graph."""
import gym
import tensorflow as tf
class InGraphBatchEnv(object):
"""Batch of environments inside the TensorFlow graph.
The batch of environments will be stepped and reset inside of the graph using
a tf.py_func(). The current batch of observations, act... | /rex_gym-0.2.7.tar.gz/rex_gym-0.2.7/rex_gym/agents/tools/in_graph_batch_env.py | 0.974203 | 0.719069 | in_graph_batch_env.py | pypi |
"""Combine multiple environments to step them in batch."""
import numpy as np
class BatchEnv(object):
"""Combine multiple environments to step them in batch."""
def __init__(self, envs, blocking):
"""Combine multiple environments to step them in batch.
To step environments in parallel, environme... | /rex_gym-0.2.7.tar.gz/rex_gym-0.2.7/rex_gym/agents/tools/batch_env.py | 0.959364 | 0.69795 | batch_env.py | pypi |
"""Mock environment for testing reinforcement learning code."""
import gym
import gym.spaces
import numpy as np
class MockEnvironment(object):
"""Generate random agent input and keep track of statistics."""
def __init__(self, observ_shape, action_shape, min_duration, max_duration):
"""Generate random... | /rex_gym-0.2.7.tar.gz/rex_gym-0.2.7/rex_gym/agents/tools/mock_environment.py | 0.962831 | 0.640425 | mock_environment.py | pypi |
"""Execute operations in a loop and coordinate logging and checkpoints."""
import collections
import os
import tensorflow as tf
from . import streaming_mean
_Phase = collections.namedtuple(
'Phase', 'name, writer, op, batch, steps, feed, report_every, log_every,'
'checkpoint_every')
class Loop(obj... | /rex_gym-0.2.7.tar.gz/rex_gym-0.2.7/rex_gym/agents/tools/loop.py | 0.958972 | 0.51623 | loop.py | pypi |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.