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 |
|---|---|---|---|---|---|
import numpy as np
import raven.struct.dataframe.core as dataframe
import raven.struct.dataframe.column as column
import raven.struct.dataframe._columnutils as utils
class CharColumn(column.Column):
"""A Column holding single ASCII-character values.
This implementation DOES NOT support null values.
The i... | /raven_pydf-1.1.4-py3-none-any.whl/raven/struct/dataframe/charcolumn.py | 0.758689 | 0.662073 | charcolumn.py | pypi |
import numpy as np
import raven.struct.dataframe.core as dataframe
import raven.struct.dataframe.column as column
import raven.struct.dataframe._columnutils as utils
class StringColumn(column.Column):
"""A Column holding string values (str).
This implementation DOES NOT support null values or empty strings.
... | /raven_pydf-1.1.4-py3-none-any.whl/raven/struct/dataframe/stringcolumn.py | 0.699768 | 0.464537 | stringcolumn.py | pypi |
import raven.struct.dataframe.bytecolumn as bytecolumn
import raven.struct.dataframe.shortcolumn as shortcolumn
import raven.struct.dataframe.intcolumn as intcolumn
import raven.struct.dataframe.longcolumn as longcolumn
import raven.struct.dataframe.floatcolumn as floatcolumn
import raven.struct.dataframe.doublecolumn ... | /raven_pydf-1.1.4-py3-none-any.whl/raven/struct/dataframe/_columnutils.py | 0.849191 | 0.395134 | _columnutils.py | pypi |
from struct import pack
import numpy as np
import raven.struct.dataframe.core as dataframe
import raven.struct.dataframe.column as column
import raven.struct.dataframe._columnutils as utils
class DoubleColumn(column.Column):
"""A Column holding double values (float64).
This implementation DOES NOT support nu... | /raven_pydf-1.1.4-py3-none-any.whl/raven/struct/dataframe/doublecolumn.py | 0.758063 | 0.523908 | doublecolumn.py | pypi |
import numpy as np
import raven.struct.dataframe.core as dataframe
import raven.struct.dataframe.column as column
import raven.struct.dataframe._columnutils as utils
class BooleanColumn(column.Column):
"""A Column holding boolean values (bool).
This implementation DOES NOT support null values.
"""
TY... | /raven_pydf-1.1.4-py3-none-any.whl/raven/struct/dataframe/booleancolumn.py | 0.767298 | 0.510985 | booleancolumn.py | pypi |
import numpy as np
import raven.struct.dataframe.core as dataframe
import raven.struct.dataframe.column as column
import raven.struct.dataframe._columnutils as utils
class LongColumn(column.Column):
"""A Column holding long values (int64).
This implementation DOES NOT support null values.
"""
TYPE_CO... | /raven_pydf-1.1.4-py3-none-any.whl/raven/struct/dataframe/longcolumn.py | 0.717606 | 0.638863 | longcolumn.py | pypi |
import numpy as np
import raven.struct.dataframe.core as dataframe
import raven.struct.dataframe.column as column
import raven.struct.dataframe._columnutils as utils
class ByteColumn(column.Column):
"""A Column holding byte values (int8).
This implementation DOES NOT support null values.
"""
TYPE_COD... | /raven_pydf-1.1.4-py3-none-any.whl/raven/struct/dataframe/bytecolumn.py | 0.781122 | 0.552932 | bytecolumn.py | pypi |
from struct import pack
import numpy as np
import raven.struct.dataframe.core as dataframe
import raven.struct.dataframe.column as column
import raven.struct.dataframe._columnutils as utils
class FloatColumn(column.Column):
"""A Column holding float values (float32).
This implementation DOES NOT support null... | /raven_pydf-1.1.4-py3-none-any.whl/raven/struct/dataframe/floatcolumn.py | 0.773516 | 0.553747 | floatcolumn.py | pypi |
from struct import unpack
import numpy as np
import raven.struct.dataframe.core as dataframe
import raven.struct.dataframe.column as column
import raven.struct.dataframe._columnutils as utils
class BinaryColumn(column.Column):
"""A Column holding binary values (bytearray).
This implementation DOES NOT suppor... | /raven_pydf-1.1.4-py3-none-any.whl/raven/struct/dataframe/binarycolumn.py | 0.703448 | 0.6081 | binarycolumn.py | pypi |
import re as regex_matcher
import raven.struct.dataframe.core as dataframe
import raven.struct.dataframe.stringcolumn as stringcolumn
import raven.struct.dataframe._dataframeutils as dataframeutils
# pylint: disable=C0103, R0911, R0912, R0914, R0915, R1705
def read(filepath, separator=",", header=True, encoding="utf... | /raven_pydf-1.1.4-py3-none-any.whl/raven/io/dataframe/csvfiles.py | 0.736021 | 0.463869 | csvfiles.py | pypi |
=======
History
=======
0.12.1 (2023-06-01)
-------------------
This release is largely a bugfix to better stabilize performance and enhance the documentation.
* Avoid repeatedly calling `xr.open_dataset` in `OutputReader`'s `hydrograph` and `storage` properties. This seems to cause kernel failures in Jupyter notebo... | /ravenpy-0.12.1.tar.gz/ravenpy-0.12.1/HISTORY.rst | 0.90435 | 0.65557 | HISTORY.rst | pypi |
# 07 - Making and using hostart files
## Create a hotstart file to resume a simulation from given hydrological conditions
Hydrological models have state variables that describe the snow pack, soil moisture, underground reservoirs, etc. Typically, those cannot be measured empirically, so one way to estimate those val... | /ravenpy-0.12.1.tar.gz/ravenpy-0.12.1/docs/notebooks/07_Making_and_using_hotstart_files.ipynb | 0.681303 | 0.985328 | 07_Making_and_using_hotstart_files.ipynb | pypi |
# Hindcasting with CaSPAr-Archived ECCC forecasts
This notebook shows how to perform a streamflow hindcast, using CaSPar archived weather forecasts. It generates the hindcasts and plots them.
CaSPAr (Canadian Surface Prediction Archive) is an archive of historical ECCC forecasts developed by Juliane Mai at the Univer... | /ravenpy-0.12.1.tar.gz/ravenpy-0.12.1/docs/notebooks/12_Performing_hindcasting_experiments.ipynb | 0.553988 | 0.981329 | 12_Performing_hindcasting_experiments.ipynb | pypi |
# 11 - Climatological ESP forecasting
## Extended Streamflow Prediction (ESP) forecasts from climatological time series
This notebook shows how to perform a climatological Extended Streamflow Prediction (ESP) forecast, using historical weather as a proxy for future weather.
The general idea is to initialize the sta... | /ravenpy-0.12.1.tar.gz/ravenpy-0.12.1/docs/notebooks/11_Climatological_ESP_forecasting.ipynb | 0.7696 | 0.987166 | 11_Climatological_ESP_forecasting.ipynb | pypi |
# Probabilistic flood risk assessment
In this notebook, we combine the forecasting abilities and the time series analysis capabilities in a single seamless process to estimate the flood risk of a probabilistic forecast. As an example, we first perform a frequency analysis on an observed time series, then estimate the ... | /ravenpy-0.12.1.tar.gz/ravenpy-0.12.1/docs/notebooks/Assess_probabilistic_flood_risk.ipynb | 0.791176 | 0.982938 | Assess_probabilistic_flood_risk.ipynb | pypi |
import requests
# put in config
from ravestate_nlp.yes_no import YesNo, YesNoWrapper
NEW_SESSION_URL = "https://srv11.akinator.com:9152/ws/new_session?callback=&partner=&player=website-desktop&uid_ext_session=&frontaddr=NDYuMTA1LjExMC40NQ==&constraint=ETAT<>'AV'"
ANSWER_URL = "https://srv11.akinator.com:9152/ws/answe... | /ravestate-0.7.0rc0-py3-none-any.whl/ravestate_akinator/api.py | 0.493897 | 0.210888 | api.py | pypi |
from datetime import datetime
from random import randint
from typing import List, Dict
import ravestate as rs
import ravestate_rawio as rawio
import ravestate_ros2 as ros2
from reggol import get_logger
logger = get_logger(__name__)
ROBOY_COGNITION_AVAILABLE = False
try:
from roboy_cognition_msgs.msg import Recog... | /ravestate-0.7.0rc0-py3-none-any.whl/ravestate_stalker/__init__.py | 0.676406 | 0.177989 | __init__.py | pypi |
from enum import Enum
NEGATION_TUPLE = ["neg", "not"]
YES_SYNONYMS = {"yes", "y", "yeah", "sure", "definitely", "certainly"}
NO_SYNONYMS = {"no", "n", "nope", "negative", "never", "nay"}
PROBABLY_SYNONYMS = {"probably", "likely", "possibly", "perhaps", "maybe"}
DO_NOT_KNOW_SET = {"know", "understand", "clue"}
class ... | /ravestate-0.7.0rc0-py3-none-any.whl/ravestate_nlp/yes_no.py | 0.583203 | 0.177205 | yes_no.py | pypi |
from ravestate_nlp.question_word import QuestionWord
from ravestate_nlp.triple import Triple
from spacy.tokens import Token
SUBJECT_SET = {"nsubj"}
OBJECT_SET = {"dobj", "attr", "advmod", "pobj"}
PREDICATE_SET = {"ROOT", "conj"}
PREDICATE_AUX_SET = {"acomp", "aux", "xcomp"}
VERB_AUX_SET = {"VERB", "ADJ"}
RECURSION_BLA... | /ravestate-0.7.0rc0-py3-none-any.whl/ravestate_nlp/extract_triples.py | 0.582966 | 0.30439 | extract_triples.py | pypi |
from spacy.tokens import Token
from typing import Optional, Set, Union, Tuple
from ravestate_nlp.question_word import QuestionWord
from ravestate_nlp.triple_match_result import TripleMatchResult
class Triple:
_subject: Union[Token, QuestionWord]
_predicate: Token
_object: Union[Token, QuestionWord]
_... | /ravestate-0.7.0rc0-py3-none-any.whl/ravestate_nlp/triple.py | 0.903204 | 0.262965 | triple.py | pypi |
import re
from typing import Dict
import torch
import torch.nn.functional as F
from pytorch_transformers import GPT2Tokenizer, GPT2LMHeadModel
from reggol import get_logger
logger = get_logger(__name__)
def top_k_logits(logits, k):
"""
Masks everything but the k top entries as -infinity (1e10).
Used to ... | /ravestate-0.7.0rc0-py3-none-any.whl/ravestate_wildtalk/gpt2_backend.py | 0.584627 | 0.453746 | gpt2_backend.py | pypi |
import re
from os.path import join, dirname, realpath
from typing import Dict
import torch
import torch.nn.functional as F
from pytorch_pretrained_bert import OpenAIGPTLMHeadModel, OpenAIGPTTokenizer, cached_path
import tarfile
import tempfile
from itertools import chain
from reggol import get_logger
logger = get_log... | /ravestate-0.7.0rc0-py3-none-any.whl/ravestate_wildtalk/convai_gpt_backend.py | 0.797517 | 0.388966 | convai_gpt_backend.py | pypi |
from typing import List
def check_if_list(value):
if isinstance(value, List):
return value
raise AttributeError("Value is not a list: " + str(value))
class QAPhrases:
"""
Getting values from a yml file
Parses files containing predefined questions and answers
Expects the following inp... | /ravestate-0.7.0rc0-py3-none-any.whl/ravestate_verbaliser/qa_phrases.py | 0.75274 | 0.473901 | qa_phrases.py | pypi |
import os
import random
import yaml
from typing import Dict, List, Optional
from ravestate_verbaliser.qa_phrases import QAPhrases
from reggol import get_logger
logger = get_logger(__name__)
"""
Produces actual utterances. This should in the future lead to diversifying
the ways Roboy is expressing information.
"""
TY... | /ravestate-0.7.0rc0-py3-none-any.whl/ravestate_verbaliser/verbaliser.py | 0.634996 | 0.293329 | verbaliser.py | pypi |
A tool for calculating simple, useful complexity metrics -- notably the [Koopman Spaghetti Factor (KSF)](https://betterembsw.blogspot.com/2017/08/the-spaghetti-factor-software.html) -- for C.
> I've had to review code that has spaghetti-level complexity in control flow (too high cycl... | /ravioli-0.3.0.tar.gz/ravioli-0.3.0/README.md | 0.441914 | 0.73557 | README.md | pypi |
# RavML
Ravenverse's Machine Learning Library
RavML is the machine learning library based on RavOp. It contains implementations of various machine learning algorithms like ordinary least squares, linear regression, logistic regression, KNN, Kmeans, Mini batch Kmeans, Decision Tree classifier, and Naive Bayes classifie... | /ravml-0.5.tar.gz/ravml-0.5/README.md | 0.690246 | 0.983101 | README.md | pypi |
vendors_dictionary = {
'00:00:01': 'Xerox Corporation',
'00:00:02': 'Xerox Corporation',
'00:00:03': 'Xerox Corporation',
'00:00:04': 'Xerox Corporation',
'00:00:05': 'Xerox Corporation',
'00:00:06': 'Xerox Corporation',
'00:00:07': 'Xerox Corporation',
'00:00:08': 'Xerox Corporation',
... | /raw_packet-0.2.1-py3-none-any.whl/raw_packet/Utils/vendors.py | 0.567697 | 0.68602 | vendors.py | pypi |
# region Description
"""
arp_fuzz.py: ARP fuzzing script
Author: Vladimir Ivanov
License: MIT
Copyright 2020, Raw-packet Project
"""
# endregion
# region Import
from sys import path
from os.path import dirname, abspath
from argparse import ArgumentParser
from socket import socket, AF_PACKET, SOCK_RAW
from struct impo... | /raw_packet-0.2.1-py3-none-any.whl/raw_packet/Scripts/ARP/arp_fuzz.py | 0.684159 | 0.174797 | arp_fuzz.py | pypi |
# region Description
"""
icmpv6_spoof.py: ICMPv6 NA (Neighbor Advertisement) and NA (Neighbor Advertisement) spoofing
Author: Vladimir Ivanov
License: MIT
Copyright 2020, Raw-packet Project
"""
# endregion
# region Import
from raw_packet.Utils.base import Base
from raw_packet.Utils.utils import Utils
from raw_packet.... | /raw_packet-0.2.1-py3-none-any.whl/raw_packet/Scripts/IPv6/ipv6_spoof.py | 0.789112 | 0.254833 | ipv6_spoof.py | pypi |
# region Description
"""
wat.py: Cross platform WiFi attack tool (wat)
Author: Vladimir Ivanov
License: MIT
Copyright 2020, Raw-packet Project
"""
# endregion
# region Import
from raw_packet.Utils.base import Base
from raw_packet.Utils.wifi import WiFi
from raw_packet.Utils.tm import ThreadManager
from typing import ... | /raw_packet-0.2.1-py3-none-any.whl/raw_packet/Scripts/WiFi/wat.py | 0.76769 | 0.163179 | wat.py | pypi |
# region Description
"""
examples.py: Raw-packet examples
Author: Vladimir Ivanov
License: MIT
Copyright 2020, Raw-packet Project
"""
# endregion
# region Import
from sys import path
from os.path import dirname, abspath
from json import dumps
from socket import socket, AF_PACKET, SOCK_RAW
# endregion
# region Author... | /raw_packet-0.2.1-py3-none-any.whl/raw_packet/Scripts/Others/examples.py | 0.475362 | 0.162945 | examples.py | pypi |
# region Description
"""
phishing.py: Phishing HTTP server (phishing)
Author: Vladimir Ivanov
License: MIT
Copyright 2020, Raw-packet Project
"""
# endregion
# region Import
from raw_packet.Utils.base import Base
from raw_packet.Servers.Phishing.phishing import PhishingServer
from argparse import ArgumentParser, RawD... | /raw_packet-0.2.1-py3-none-any.whl/raw_packet/Scripts/Phishing/phishing.py | 0.730482 | 0.172381 | phishing.py | pypi |
# endregion
# region Import
from raw_packet.Utils.base import Base
from raw_packet.Utils.network import RawICMPv6, RawSniff, RawSend
from raw_packet.Utils.tm import ThreadManager
from time import sleep
from random import randint
from typing import Union, Dict, List
# endregion
# region Authorship information
__author... | /raw_packet-0.2.1-py3-none-any.whl/raw_packet/Scanners/icmpv6_scanner.py | 0.67694 | 0.171373 | icmpv6_scanner.py | pypi |
from os import path
from importlib import import_module
from sys import stdout
from raw_sql_migrate import rsm_config
from raw_sql_migrate.helpers import MigrationHelper, FileSystemHelper, DatabaseHelper
from raw_sql_migrate.engines import database_api
from raw_sql_migrate.exceptions import IncorrectMigrationFile
_... | /raw-sql-migrate-0.3.4.tar.gz/raw-sql-migrate-0.3.4/raw_sql_migrate/migration.py | 0.522446 | 0.222943 | migration.py | pypi |
from rawdata_emca.connections import BaseConnector
from rawdata_emca.utilities import RawDataUtilities
import os
import csv
class FileDateStrip(BaseConnector):
'''
Connector is designed to strip off old data based on a date in a csv file
You would use this if you are appending to a file and want to li... | /raw_data_emca-0.9.2.zip/raw_data_emca-0.9.2/rawdata_emca/connections/built_in.py | 0.627152 | 0.303995 | built_in.py | pypi |
from rawdata_emca.processor import BaseProcessor
from rawdata_emca.runner.config_entry import ConfigEntry
from rawdata_emca.utilities import csvsort
import os
import datetime
class RawCsvSort(BaseProcessor):
"""
This is a wrapper class around the module csvsort found here: https://pypi.python.org/pypi/csvsort... | /raw_data_emca-0.9.2.zip/raw_data_emca-0.9.2/rawdata_emca/processor/rawcsvsort.py | 0.470007 | 0.265205 | rawcsvsort.py | pypi |
import math
import matplotlib.pyplot as plt
from .Generaldistribution import Distribution
class Gaussian(Distribution):
""" Gaussian distribution class for calculating and
visualizing a Gaussian distribution.
Attributes:
mean (float) representing the mean value of the distribution
stdev (float) representing ... | /rawa_dist_distributions-0.1.tar.gz/rawa_dist_distributions-0.1/rawa_dist_distributions/Gaussiandistribution.py | 0.688364 | 0.853058 | Gaussiandistribution.py | pypi |
rawes
=====
About
-----
rawes is an elasticsearch driver for Python. It provides a small level of abstraction above the requests library - enough abstraction to be useful, but not so much to obscure elasticsearch's great [native api](http://www.elasticsearch.org/guide/reference/api/)
Features
--------
* elasticsearc... | /rawes-0.5.5.tar.gz/rawes-0.5.5/README.md | 0.577019 | 0.819821 | README.md | pypi |
from cv2 import cornerHarris, findTransformECC, MOTION_TRANSLATION, TERM_CRITERIA_COUNT, TERM_CRITERIA_EPS
from numpy import argpartition, array, asarray, eye, column_stack, concatenate, float32, ndarray, ones, split, stack as stack_array, unravel_index
from numpy.linalg import norm
from PIL import Image
from sklearn.... | /lens/tca.py | 0.918936 | 0.721007 | tca.py | pypi |
from lensfunpy import Database, Modifier
from PIL import Image
from torch import from_numpy, Tensor
from torch.nn.functional import grid_sample
def lens_grid (metadata: dict, width: int, height: int) -> Tensor:
"""
Compute lens correction sample grid.
This method will return `None` if the grid cannot be ... | /lens/lens.py | 0.9504 | 0.550547 | lens.py | pypi |
from ctypes import * # noqa
class ph1_t(Structure):
"""Contains color data read by Phase One cameras."""
_fields_ = [
('format', c_int),
('key_off', c_int),
('tag_21a', c_int),
('t_black', c_int),
('split_col', c_int),
('black_col', c_int),
('split_row... | /rawkit-0.6.0.tar.gz/rawkit-0.6.0/libraw/structs_17.py | 0.839142 | 0.326781 | structs_17.py | pypi |
from ctypes import * # noqa
class ph1_t(Structure):
"""Contains color data read by Phase One cameras."""
_fields_ = [
('format', c_int),
('key_off', c_int),
('tag_21a', c_int),
('t_black', c_int),
('split_col', c_int),
('black_col', c_int),
('split_row... | /rawkit-0.6.0.tar.gz/rawkit-0.6.0/libraw/structs_18.py | 0.834036 | 0.336249 | structs_18.py | pypi |
from ctypes import * # noqa
class ph1_t(Structure):
"""Contains color data read by Phase One cameras."""
_fields_ = [
('format', c_int),
('key_off', c_int),
('t_black', c_int),
('black_off', c_int),
('split_col', c_int),
('tag_21a', c_int),
('tag_210',... | /rawkit-0.6.0.tar.gz/rawkit-0.6.0/libraw/structs_16.py | 0.82828 | 0.32178 | structs_16.py | pypi |
from ctypes import * # noqa
from ctypes import util
from libraw import errors
from libraw.callbacks import data_callback
from libraw.callbacks import memory_callback
from libraw.callbacks import progress_callback
from libraw.errors import c_error
from libraw import structs_16
from libraw import structs_17
from libraw... | /rawkit-0.6.0.tar.gz/rawkit-0.6.0/libraw/bindings.py | 0.63273 | 0.162148 | bindings.py | pypi |
from ctypes import c_int
class c_error(c_int):
"""
An error type for LibRaw (since LibRaw errors are ints and you can't
distinguish between functions that return an error and functions that
return an int that doesn't code for an error).
"""
class LibRawError(Exception):
"""
A base exce... | /rawkit-0.6.0.tar.gz/rawkit-0.6.0/libraw/errors.py | 0.872619 | 0.421343 | errors.py | pypi |
from __future__ import print_function
from os.path import split as psplit, join as pjoin
from subprocess import Popen, PIPE
def back_tick(cmd, ret_err=False, as_str=True, shell=False):
""" Run command `cmd`, return stdout, or stdout, stderr if `ret_err`
Roughly equivalent to ``check_output`` in Python 2.7
... | /rawpy-0.12.0-cp27-cp27m-macosx_10_10_x86_64.whl/terryfy/wafutils.py | 0.799325 | 0.183832 | wafutils.py | pypi |
from pydantic import BaseModel
from .perks import Perks
class Participant(BaseModel):
assists: int
baron_kills: int
bounty_level: int
champ_experience: int
champ_level: int
champion_id: int
champion_name: str
champion_transform: int
consumables_purchased: int
damage_dealt_to_bu... | /rawr_python-0.1.0-py3-none-any.whl/rawr_python/classes/participant.py | 0.519765 | 0.273963 | participant.py | pypi |
import math
class Angle(object):
@staticmethod
def from_units(value, units):
func_name = f'from_{units}'
func = getattr(Angle, func_name, None)
if func is not None:
value = float(value)
return func(value)
raise ValueError(f"units '{units}' not implemen... | /rawrobotics-orion5-1.5.6.tar.gz/rawrobotics-orion5-1.5.6/orion5/upgrade.py | 0.840292 | 0.361531 | upgrade.py | pypi |
# rawsec_cli
[](https://github.com/mBouamama/rawsec_cli)
[](https://pypi.org/project/rawsec-cli/)
[](https://py... | /rawsec-cli-1.2.0.tar.gz/rawsec-cli-1.2.0/README.md | 0.522933 | 0.92976 | README.md | pypi |
from typing import Dict
from typing import List
import requests
def load_inventory_json() -> Dict:
"""
Get rawsec inventory json.
Returns
-------
Dict
rawsec dict of project
"""
r = requests.get("https://inventory.raw.pm/api/api.json")
if r.status_code != 200 or "tools" not i... | /rawsec-cli-1.2.0.tar.gz/rawsec-cli-1.2.0/rawsec_cli/tools.py | 0.82566 | 0.311676 | tools.py | pypi |
from typing import Dict
from typing import List
from rawsec_cli.tools import get_all_ctf
from rawsec_cli.tools import get_all_operating
from rawsec_cli.tools import get_all_resources
from rawsec_cli.tools import get_all_tools
def search_project_tools(json: Dict, project: str) -> List[Dict]:
"""
Search projec... | /rawsec-cli-1.2.0.tar.gz/rawsec-cli-1.2.0/rawsec_cli/search.py | 0.850577 | 0.183411 | search.py | pypi |
import click
from rawsec_cli.filter import filter_projects
from rawsec_cli.output import print_output
from rawsec_cli.search import search_project
@click.command()
@click.argument("project")
@click.pass_context
@click.option("--lang", "-l", help="Filter by Language")
@click.option(
"--paid",
"-p",
is_fla... | /rawsec-cli-1.2.0.tar.gz/rawsec-cli-1.2.0/rawsec_cli/cli/command/search_command.py | 0.639849 | 0.197425 | search_command.py | pypi |
import sys
import click
from rawsec_cli.filter import filter_projects
from rawsec_cli.output import print_output
from rawsec_cli.tools import get_all_ctf
from rawsec_cli.tools import get_all_operating
from rawsec_cli.tools import get_all_resources
from rawsec_cli.tools import get_all_tools
from rawsec_cli.tools impor... | /rawsec-cli-1.2.0.tar.gz/rawsec-cli-1.2.0/rawsec_cli/cli/command/list_command.py | 0.526586 | 0.172729 | list_command.py | pypi |
import functools
import json
from typing import Sequence
from absl import app
from flax import linen as nn
import jax
import jax.numpy as jnp
import optax
import rax
import tensorflow as tf
import tensorflow_datasets as tfds
def read_data(batch_size: int = 1024, lists_per_batch: int = 64):
"""Reads ranking data in... | /rax-0.3.0.tar.gz/rax-0.3.0/examples/segmentation/main.py | 0.933241 | 0.76708 | main.py | pypi |
from typing import Mapping
import seqio
import t5
import tensorflow as tf
def _msmarco_preprocessor(
dataset: tf.data.Dataset,
output_features: Mapping[str, t5.data.Feature],
shuffle_lists: bool = True,
) -> tf.data.Dataset:
"""Preprocessor for MS-Marco listwise ranking task.
Args:
dataset: The ... | /rax-0.3.0.tar.gz/rax-0.3.0/examples/t5x/tasks.py | 0.943951 | 0.470433 | tasks.py | pypi |
import collections
import functools
import json
from typing import Mapping, Optional, Sequence, Tuple
from absl import app
import flax
import flax.linen as nn
import jax
import jax.numpy as jnp
import optax
import rax
# Used for loading data and data-preprocessing.
import tensorflow as tf
import tensorflow_datasets... | /rax-0.3.0.tar.gz/rax-0.3.0/examples/flax_integration/main.py | 0.928757 | 0.369514 | main.py | pypi |
import functools
import json
from typing import Optional, Sequence
from absl import app
from clu.metrics import Average
import jax
import jax.numpy as jnp
import rax
# Used for loading data and data-preprocessing.
import tensorflow as tf
import tensorflow_datasets as tfds
def prepare_dataset(
ds: tf.data.Datase... | /rax-0.3.0.tar.gz/rax-0.3.0/examples/approx_metrics/main.py | 0.926943 | 0.462655 | main.py | pypi |
import novaclient.auth_plugin
from novaclient import exceptions as exc
from novaclient.i18n import _
IDENTITY_US = "https://identity.api.rackspacecloud.com/v2.0/"
IDENTITY_UK = "https://lon.identity.api.rackspacecloud.com/v2.0/"
def determine_auth_url(args):
"""Use Region to determine auth url if none is speci... | /raxtoken-auth-openstack-0.1.3.tar.gz/raxtoken-auth-openstack-0.1.3/raxtoken_auth_openstack/plugin.py | 0.625095 | 0.163412 | plugin.py | pypi |
import typing
from apache_beam import (pvalue, PTransform, Create, Reshuffle, Windowing,
GroupByKey, ParDo)
from apache_beam.io import Read
from apache_beam.pipeline import PTransformOverride
from apache_beam.runners.direct.direct_runner import _GroupAlsoByWindowDoFn
from apache_beam.transform... | /ray_beam-0.0.1-py3-none-any.whl/ray_beam_runner/overrides.py | 0.690037 | 0.305147 | overrides.py | pypi |
from typing import TypeVar, Iterable, Any
import ray
from ray.data.impl.compute import ComputeStrategy
from ray.types import ObjectRef
from ray.data.block import Block
from ray.data.impl.block_list import BlockList
from ray.data.impl.progress_bar import ProgressBar
T = TypeVar("T")
U = TypeVar("U")
# A class type th... | /ray_beam-0.0.1-py3-none-any.whl/ray_beam_runner/custom_actor_pool.py | 0.734215 | 0.152884 | custom_actor_pool.py | pypi |
# pytype: skip-file
import logging
import ray
from apache_beam.options.pipeline_options import PipelineOptions
from apache_beam.runners.direct.direct_runner import BundleBasedDirectRunner
from ray_beam_runner.collection import CollectionMap
from ray_beam_runner.overrides import _get_overrides
from ray_beam_runner.tra... | /ray_beam-0.0.1-py3-none-any.whl/ray_beam_runner/ray_runner.py | 0.860457 | 0.234801 | ray_runner.py | pypi |
import logging
import time
import ray
from ray import ray_constants
logger = logging.getLogger(__name__)
class Cluster:
def __init__(self,
initialize_head=False,
connect=False,
head_node_args=None,
shutdown_at_exit=True):
"""Initializes... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/cluster_utils.py | 0.816955 | 0.248546 | cluster_utils.py | pypi |
import ray.worker
import logging
from ray._private.client_mode_hook import client_mode_hook
logger = logging.getLogger(__name__)
class RuntimeContext(object):
"""A class used for getting runtime context."""
def __init__(self, worker):
assert worker is not None
self.worker = worker
def g... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/runtime_context.py | 0.842928 | 0.240072 | runtime_context.py | pypi |
from collections import namedtuple
import logging
import os
import re
import subprocess
import sys
import ray
import ray.ray_constants as ray_constants
logger = logging.getLogger(__name__)
# Prefix for the node id resource that is automatically added to each node.
# For example, a node may have id `node:172.23.42.1`... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/resource_spec.py | 0.752013 | 0.327238 | resource_spec.py | pypi |
import ray
class JobConfig:
"""A class used to store the configurations of a job.
Attributes:
worker_env (dict): Environment variables to be set on worker
processes.
num_java_workers_per_process (int): The number of java workers per
worker process.
jvm_options ... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/job_config.py | 0.713731 | 0.200421 | job_config.py | pypi |
import abc
import logging
import os
import shutil
import random
import urllib
from collections import namedtuple
from typing import List, IO, Tuple
import ray
from ray.ray_constants import DEFAULT_OBJECT_PREFIX
from ray._raylet import ObjectRef
ParsedURL = namedtuple("ParsedURL", "base_url, offset, size")
logger = lo... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/external_storage.py | 0.865934 | 0.383035 | external_storage.py | pypi |
from collections import deque, OrderedDict
import numpy as np
from ray.rllib.utils import force_list
from ray.rllib.utils.framework import try_import_tf
tf1, tf, tfv = try_import_tf()
def unflatten(vector, shapes):
i = 0
arrays = []
for shape in shapes:
size = np.prod(shape, dtype=np.int)
... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/experimental/tf_utils.py | 0.939269 | 0.493958 | tf_utils.py | pypi |
import time
from typing import List, Iterable, Tuple, Callable, Any, Union
import ray
from ray.cluster_utils import Cluster
from ray import ObjectRef
# TODO(ekl) why doesn't TypeVar() deserialize properly in Ray?
# The type produced by the input reader function.
InType = Any
# The type produced by the output writer f... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/experimental/shuffle.py | 0.726911 | 0.494812 | shuffle.py | pypi |
import base64
from collections import defaultdict
from enum import Enum
from typing import List
import ray
from ray._raylet import (TaskID, ActorID, JobID)
from ray.internal.internal_api import node_stats
import logging
logger = logging.getLogger(__name__)
# These values are used to calculate if objectRefs are act... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/new_dashboard/memory_utils.py | 0.735831 | 0.243463 | memory_utils.py | pypi |
import logging
import ray._private.utils
logger = logging.getLogger(__name__)
CPU_SHARES_PATH = "/sys/fs/cgroup/cpu/cpu.shares"
CPU_USAGE_PATH = "/sys/fs/cgroup/cpuacct/cpuacct.usage"
PROC_STAT_PATH = "/proc/stat"
container_num_cpus = None
host_num_cpus = None
last_cpu_usage = None
last_system_usage = None
def c... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/new_dashboard/k8s_utils.py | 0.67104 | 0.208501 | k8s_utils.py | pypi |
import time
import re
from collections import defaultdict
PYCLASSNAME_RE = re.compile(r"(.+?)\(")
def construct_actor_groups(actors):
"""actors is a dict from actor id to an actor or an
actor creation task The shared fields currently are
"actorClass", "actorId", and "state" """
actor_groups = _... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/new_dashboard/actor_utils.py | 0.419172 | 0.199776 | actor_utils.py | pypi |
import gym
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
from ray.rllib.utils.annotations import override
from ray.rllib.utils.framework import try_import_torch
torch, nn = try_import_torch()
class OnlineLinearRegression(nn.Module):
def __init__(self,... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/contrib/bandits/models/linear_regression.py | 0.909757 | 0.510558 | linear_regression.py | pypi |
import logging
import time
from gym import spaces
from ray.rllib.agents.trainer import with_common_config
from ray.rllib.contrib.bandits.models.linear_regression import \
DiscreteLinearModelThompsonSampling, \
DiscreteLinearModelUCB, DiscreteLinearModel, \
ParametricLinearModelThompsonSampling, ParametricL... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/contrib/bandits/agents/policy.py | 0.635336 | 0.342737 | policy.py | pypi |
import copy
import gym
import numpy as np
from gym import spaces
DEFAULT_CONFIG_LINEAR = {
"feature_dim": 8,
"num_actions": 4,
"reward_noise_std": 0.01
}
class LinearDiscreteEnv(gym.Env):
"""Samples data from linearly parameterized arms.
The reward for context X and arm i is given by X^T * thet... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/contrib/bandits/envs/discrete.py | 0.833697 | 0.55441 | discrete.py | pypi |
import copy
import gym
import numpy as np
from gym import spaces
DEFAULT_RECO_CONFIG = {
"num_users": 1,
"num_items": 100,
"feature_dim": 16,
"slate_size": 1,
"num_candidates": 25,
"seed": 1
}
class ParametricItemRecoEnv(gym.Env):
"""A recommendation environment which generates items wit... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/contrib/bandits/envs/parametric.py | 0.672977 | 0.513729 | parametric.py | pypi |
from abc import ABC
import numpy as np
from ray.rllib.models.modelv2 import restore_original_dimensions
from ray.rllib.models.preprocessors import get_preprocessor
from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
from ray.rllib.utils.framework import try_import_torch
torch, nn = try_import_torch()
def ... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/contrib/alpha_zero/models/custom_torch_models.py | 0.960184 | 0.335024 | custom_torch_models.py | pypi |
from copy import deepcopy
import numpy as np
class RankedRewardsBuffer:
def __init__(self, buffer_max_length, percentile):
self.buffer_max_length = buffer_max_length
self.percentile = percentile
self.buffer = []
def add_reward(self, reward):
if len(self.buffer) < self.buffer_... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/contrib/alpha_zero/core/ranked_rewards.py | 0.61855 | 0.202857 | ranked_rewards.py | pypi |
import argparse
from gym.spaces import Box, Discrete
import numpy as np
from ray.rllib.examples.models.custom_model_api import DuelingQModel, \
TorchDuelingQModel, ContActionQModel, TorchContActionQModel
from ray.rllib.models.catalog import ModelCatalog, MODEL_DEFAULTS
from ray.rllib.utils.framework import try_imp... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/examples/custom_model_api.py | 0.854566 | 0.334562 | custom_model_api.py | pypi |
import argparse
import os
import ray
from ray import tune
from ray.rllib.env.wrappers.unity3d_env import Unity3DEnv
from ray.rllib.utils.test_utils import check_learning_achieved
parser = argparse.ArgumentParser()
parser.add_argument(
"--env",
type=str,
default="3DBall",
choices=[
"3DBall",
... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/examples/unity3d_env_local.py | 0.690142 | 0.226014 | unity3d_env_local.py | pypi |
import argparse
import gym
import requests
from starlette.requests import Request
import ray
import ray.rllib.agents.dqn as dqn
from ray.rllib.env.wrappers.atari_wrappers import FrameStack, WarpFrame
from ray import serve
parser = argparse.ArgumentParser()
parser.add_argument(
"--framework", choices=["tf2", "tf",... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/examples/serve_and_rllib.py | 0.775137 | 0.224597 | serve_and_rllib.py | pypi |
from abc import ABC
import ray
import numpy as np
from ray.rllib import Policy
from ray.rllib.agents import with_common_config
from ray.rllib.agents.trainer_template import build_trainer
from ray.rllib.evaluation.worker_set import WorkerSet
from ray.rllib.execution.metric_ops import StandardMetricsReporting
from ray... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/examples/random_parametric_agent.py | 0.888704 | 0.188473 | random_parametric_agent.py | pypi |
from typing import Dict
import argparse
import numpy as np
import os
import ray
from ray import tune
from ray.rllib.agents.callbacks import DefaultCallbacks
from ray.rllib.env import BaseEnv
from ray.rllib.evaluation import MultiAgentEpisode, RolloutWorker
from ray.rllib.policy import Policy
from ray.rllib.policy.samp... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/examples/custom_metrics_and_callbacks.py | 0.863103 | 0.231973 | custom_metrics_and_callbacks.py | pypi |
import argparse
from gym.spaces import Discrete, Tuple
import logging
import os
import ray
from ray import tune
from ray.tune import function
from ray.rllib.examples.env.windy_maze_env import WindyMazeEnv, \
HierarchicalWindyMazeEnv
from ray.rllib.utils.test_utils import check_learning_achieved
parser = argparse.... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/examples/hierarchical_training.py | 0.632389 | 0.150559 | hierarchical_training.py | pypi |
from gym.spaces import Box, Discrete
import numpy as np
from rllib.models.tf.attention_net import TrXLNet
from ray.rllib.utils.framework import try_import_tf
tf1, tf, tfv = try_import_tf()
def bit_shift_generator(seq_length, shift, batch_size):
while True:
values = np.array([0., 1.], dtype=np.float32)
... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/examples/attention_net_supervised.py | 0.917635 | 0.35081 | attention_net_supervised.py | pypi |
import argparse
import os
import random
import ray
from ray import tune
from ray.rllib.agents.trainer_template import build_trainer
from ray.rllib.examples.models.eager_model import EagerModel
from ray.rllib.models import ModelCatalog
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.policy.tf_polic... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/examples/eager_execution.py | 0.868757 | 0.245215 | eager_execution.py | pypi |
import argparse
import gym
import os
import ray
from ray.rllib.agents.dqn import DQNTrainer, DQNTFPolicy, DQNTorchPolicy
from ray.rllib.agents.ppo import PPOTrainer, PPOTFPolicy, PPOTorchPolicy
from ray.rllib.examples.env.multi_agent import MultiAgentCartPole
from ray.tune.logger import pretty_print
from ray.tune.regi... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/examples/multi_agent_two_trainers.py | 0.730578 | 0.209814 | multi_agent_two_trainers.py | pypi |
import argparse
import numpy as np
from gym.spaces import Discrete
import os
import ray
from ray import tune
from ray.rllib.agents.ppo.ppo import PPOTrainer
from ray.rllib.agents.ppo.ppo_tf_policy import PPOTFPolicy, KLCoeffMixin, \
ppo_surrogate_loss as tf_loss
from ray.rllib.agents.ppo.ppo_torch_policy import PP... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/examples/centralized_critic.py | 0.891823 | 0.274157 | centralized_critic.py | pypi |
import argparse
from gym.spaces import Discrete, Box
import numpy as np
import os
from ray import tune
from ray.rllib.examples.env.random_env import RandomEnv
from ray.rllib.examples.models.mobilenet_v2_with_lstm_models import \
MobileV2PlusRNNModel, TorchMobileV2PlusRNNModel
from ray.rllib.models import ModelCat... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/examples/mobilenet_v2_with_lstm.py | 0.75183 | 0.193776 | mobilenet_v2_with_lstm.py | pypi |
import argparse
from gym.spaces import Tuple, MultiDiscrete, Dict, Discrete
import os
import ray
from ray import tune
from ray.tune import register_env, grid_search
from ray.rllib.env.multi_agent_env import ENV_STATE
from ray.rllib.examples.env.two_step_game import TwoStepGame
from ray.rllib.utils.test_utils import ch... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/examples/two_step_game.py | 0.634204 | 0.300694 | two_step_game.py | pypi |
import argparse
import gym
import numpy as np
import ray
from gym.spaces import Box, Discrete
from ray import tune
parser = argparse.ArgumentParser()
parser.add_argument(
"--framework", choices=["tf2", "tf", "tfe", "torch"], default="tf")
parser.add_argument("--stop-iters", type=int, default=10)
parser.add_argume... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/examples/env_rendering_and_recording.py | 0.896413 | 0.385346 | env_rendering_and_recording.py | pypi |
import argparse
import gym
import os
import random
import ray
from ray import tune
from ray.rllib.examples.env.multi_agent import MultiAgentCartPole
from ray.rllib.examples.models.shared_weights_model import \
SharedWeightsModel1, SharedWeightsModel2, TF2SharedWeightsModel, \
TorchSharedWeightsModel
from ray.r... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/examples/multi_agent_cartpole.py | 0.719384 | 0.188137 | multi_agent_cartpole.py | pypi |
import argparse
import os
import ray
from ray import tune
from ray.rllib.examples.env.look_and_push import LookAndPush, OneHot
from ray.rllib.examples.env.repeat_after_me_env import RepeatAfterMeEnv
from ray.rllib.examples.env.repeat_initial_obs_env import RepeatInitialObsEnv
from ray.rllib.examples.env.stateless_cart... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/examples/attention_net.py | 0.713132 | 0.17545 | attention_net.py | pypi |
import argparse
import os
import ray
from ray import tune
from ray.rllib.agents.ppo import PPOTrainer
from ray.rllib.examples.env.coin_game_non_vectorized_env import \
CoinGame, AsymCoinGame
parser = argparse.ArgumentParser()
parser.add_argument("--tf", action="store_true")
parser.add_argument("--stop-iters", typ... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/examples/coin_game_env.py | 0.621656 | 0.21963 | coin_game_env.py | pypi |
import argparse
import numpy as np
import os
import ray
from ray import tune
def on_episode_start(info):
episode = info["episode"]
print("episode {} started".format(episode.episode_id))
episode.user_data["pole_angles"] = []
episode.hist_data["pole_angles"] = []
def on_episode_step(info):
episo... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/examples/custom_metrics_and_callbacks_legacy.py | 0.669421 | 0.338842 | custom_metrics_and_callbacks_legacy.py | pypi |
import argparse
from gym.spaces import Dict, Tuple, Box, Discrete
import os
import ray
import ray.tune as tune
from ray.tune.registry import register_env
from ray.rllib.examples.env.nested_space_repeat_after_me_env import \
NestedSpaceRepeatAfterMeEnv
from ray.rllib.utils.test_utils import check_learning_achieved
... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/examples/nested_action_spaces.py | 0.638272 | 0.16455 | nested_action_spaces.py | pypi |
import numpy as np
import ray
import ray.rllib.agents.ppo as ppo
from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
from ray.rllib.models.catalog import ModelCatalog
from ray.rllib.utils.framework import try_import_torch
torch, _ = try_import_torch()
# __sphinx_doc_begin__
# The custom model that will b... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/examples/lstm_auto_wrapping.py | 0.7865 | 0.266876 | lstm_auto_wrapping.py | pypi |
from copy import deepcopy
from numpy import float32
import os
from supersuit import normalize_obs_v0, dtype_v0, color_reduction_v0
import ray
from ray.rllib.agents.registry import get_trainer_class
from ray.rllib.env import PettingZooEnv
from pettingzoo.butterfly import pistonball_v1
from ray.tune.registry import reg... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/examples/pettingzoo_env.py | 0.742141 | 0.256107 | pettingzoo_env.py | pypi |
import argparse
import os
import ray
from ray import tune
from ray.rllib.agents.dqn.distributional_q_tf_model import \
DistributionalQTFModel
from ray.rllib.models import ModelCatalog
from ray.rllib.models.tf.misc import normc_initializer
from ray.rllib.models.tf.tf_modelv2 import TFModelV2
from ray.rllib.models.... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/examples/custom_keras_model.py | 0.868241 | 0.173989 | custom_keras_model.py | pypi |
import argparse
import gym
import os
import ray
from ray import tune
from ray.rllib.agents.trainer_template import build_trainer
from ray.rllib.agents.dqn.dqn import DEFAULT_CONFIG as DQN_CONFIG
from ray.rllib.agents.dqn.dqn_tf_policy import DQNTFPolicy
from ray.rllib.agents.dqn.dqn_torch_policy import DQNTorchPolicy
... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/examples/two_trainer_workflow.py | 0.698638 | 0.186539 | two_trainer_workflow.py | pypi |
import argparse
import numpy as np
import ray
from ray import tune
from ray.rllib.utils.filter import Filter
from ray.rllib.utils.framework import try_import_tf
tf1, tf, tfv = try_import_tf()
parser = argparse.ArgumentParser()
parser.add_argument("--run", type=str, default="PPO")
parser.add_argument("--stop-iters", ... | /ray_delvewheel-1.3.0.0-cp38-cp38-win_amd64.whl/ray-1.3.0.data/purelib/ray/rllib/examples/custom_observation_filters.py | 0.843911 | 0.242654 | custom_observation_filters.py | pypi |
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