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 pathlib import Path
from dash import register_page
import dash
from dash_bootstrap_templates import load_figure_template
# SageWorks Imports
from sageworks.web_components import confusion_matrix, table, scatter_plot
from sageworks.web_components import (
mock_feature_importance,
mock_model_data,
moc... | /sageworks-0.1.5.3.tar.gz/sageworks-0.1.5.3/applications/aws_dashboard/pages/models/page.py | 0.516595 | 0.151592 | page.py | pypi |
import dash
from dash import Dash
from dash.dependencies import Input, Output
from datetime import datetime
# SageWorks Imports
from sageworks.web_components.mock_model_data import ModelData
from sageworks.web_components import (
mock_feature_importance,
confusion_matrix,
mock_model_details,
mock_featu... | /sageworks-0.1.5.3.tar.gz/sageworks-0.1.5.3/applications/aws_dashboard/pages/models/callbacks.py | 0.631594 | 0.330552 | callbacks.py | pypi |
from dash import dcc, html, dash_table
import dash_bootstrap_components as dbc
def models_layout(
models_table: dash_table.DataTable,
model_details: dcc.Markdown,
confusion_matrix: dcc.Graph,
scatter_plot: dcc.Graph,
feature_importance: dcc.Graph,
feature_details: dcc.Markdown,
) -> html.Div:
... | /sageworks-0.1.5.3.tar.gz/sageworks-0.1.5.3/applications/aws_dashboard/pages/models/layout.py | 0.481454 | 0.181354 | layout.py | pypi |
from dash import register_page
import dash
from dash_bootstrap_templates import load_figure_template
# SageWorks Imports
from sageworks.web_components import table, data_and_feature_details, distribution_plots
from sageworks.views.feature_set_web_view import FeatureSetWebView
# Local Imports
from .layout import featu... | /sageworks-0.1.5.3.tar.gz/sageworks-0.1.5.3/applications/aws_dashboard/pages/feature_sets/page.py | 0.534612 | 0.25856 | page.py | pypi |
from datetime import datetime
import dash
from dash import Dash
from dash.dependencies import Input, Output
# SageWorks Imports
from sageworks.views.feature_set_web_view import FeatureSetWebView
from sageworks.web_components import data_and_feature_details, distribution_plots, table
def refresh_data_timer(app: Dash)... | /sageworks-0.1.5.3.tar.gz/sageworks-0.1.5.3/applications/aws_dashboard/pages/feature_sets/callbacks.py | 0.754553 | 0.262871 | callbacks.py | pypi |
**Build Status**
master: [](https://app.travis-ci.com/github/Kenza-AI/sagify)
# sagify
A command-line utility to train and deploy Machine Learning/Deep Learning models on [AWS SageMaker](https://aws.amazon.com/... | /sagify-0.23.0.tar.gz/sagify-0.23.0/README.md | 0.807992 | 0.906694 | README.md | pypi |
# SAGOD:Static Attributed Graph Outlier Detection
中文README : [cnREADME.md](./cnREADME.md).
SAGOD (**S**tatic **A**ttributed **G**raph **O**utlier **D**etection) is an implementation of anomaly detection models on static attributed graph. Inspierd by [PyOD](https://github.com/yzhao062/pyod) and [PyGOD](https://github.... | /sagod-0.0.2.tar.gz/sagod-0.0.2/README.md | 0.665411 | 0.980894 | README.md | pypi |
import base64
import copy
from urllib import parse
def serialize(obj):
"""Serialize the given object
:param obj: string representation of the object
:return: encoded object (its type is unicode string)
"""
result = base64.urlsafe_b64encode(obj)
# this workaround is needed because in case of p... | /sahara_dashboard-18.0.0-py3-none-any.whl/sahara_dashboard/utils.py | 0.610453 | 0.260104 | utils.py | pypi |
from django.utils.translation import gettext_lazy as _
from django.utils.translation import ngettext_lazy
from horizon import tables
from horizon.tabs import base as tabs_base
from sahara_dashboard.api import sahara as saharaclient
from sahara_dashboard.content.data_processing \
import tables as sahara_table
fro... | /sahara_dashboard-18.0.0-py3-none-any.whl/sahara_dashboard/content/data_processing/jobs/data_sources/tables.py | 0.494629 | 0.155655 | tables.py | pypi |
from oslo_serialization import jsonutils
from sahara.plugins import provisioning
from sahara.plugins import swift_helper
from sahara.plugins import utils
from sahara_plugin_ambari.i18n import _
from sahara_plugin_ambari.plugins.ambari import common
CONFIGS = {}
OBJ_CONFIGS = {}
CFG_PROCESS_MAP = {
"admin-prope... | /sahara_plugin_ambari-9.0.0-py3-none-any.whl/sahara_plugin_ambari/plugins/ambari/configs.py | 0.416203 | 0.159938 | configs.py | pypi |
import eventlet
EVENTLET_MONKEY_PATCH_MODULES = dict(os=True,
select=True,
socket=True,
thread=True,
time=True)
def patch_all():
"""Apply all patches.
List of... | /sahara_plugin_ambari-9.0.0-py3-none-any.whl/sahara_plugin_ambari/utils/patches.py | 0.444324 | 0.22133 | patches.py | pypi |
import copy
from sahara.plugins import provisioning as p
from sahara_plugin_cdh.i18n import _
from sahara_plugin_cdh.plugins.cdh import versionfactory as vhf
class CDHPluginProvider(p.ProvisioningPluginBase):
def __init__(self):
self.version_factory = vhf.VersionFactory.get_instance()
def get_title... | /sahara_plugin_cdh-9.0.0.0rc1-py3-none-any.whl/sahara_plugin_cdh/plugins/cdh/plugin.py | 0.510985 | 0.190894 | plugin.py | pypi |
from sahara.plugins import edp
from sahara.plugins import exceptions as pl_ex
from sahara.plugins import kerberos
from sahara.plugins import utils as u
from sahara_plugin_cdh.i18n import _
class EdpOozieEngine(edp.PluginsOozieJobEngine):
def __init__(self, cluster):
super(EdpOozieEngine, self).__init__(... | /sahara_plugin_cdh-9.0.0.0rc1-py3-none-any.whl/sahara_plugin_cdh/plugins/cdh/edp_engine.py | 0.422505 | 0.169303 | edp_engine.py | pypi |
from oslo_utils import uuidutils
from sahara.plugins import castellan_utils as key_manager
from sahara.plugins import conductor
from sahara.plugins import context
from sahara.plugins import utils
CM_PASSWORD = 'cm_password'
HIVE_DB_PASSWORD = 'hive_db_password'
SENTRY_DB_PASSWORD = 'sentry_db_password'
def delete... | /sahara_plugin_cdh-9.0.0.0rc1-py3-none-any.whl/sahara_plugin_cdh/plugins/cdh/db_helper.py | 0.552057 | 0.175998 | db_helper.py | pypi |
import abc
from sahara.plugins import conductor
from sahara.plugins import context
from sahara.plugins import kerberos
from sahara_plugin_cdh.plugins.cdh import db_helper as dh
from sahara_plugin_cdh.plugins.cdh import health
class AbstractVersionHandler(object, metaclass=abc.ABCMeta):
@abc.abstractmethod
... | /sahara_plugin_cdh-9.0.0.0rc1-py3-none-any.whl/sahara_plugin_cdh/plugins/cdh/abstractversionhandler.py | 0.555918 | 0.201165 | abstractversionhandler.py | pypi |
import eventlet
EVENTLET_MONKEY_PATCH_MODULES = dict(os=True,
select=True,
socket=True,
thread=True,
time=True)
def patch_all():
"""Apply all patches.
List of... | /sahara_plugin_cdh-9.0.0.0rc1-py3-none-any.whl/sahara_plugin_cdh/utils/patches.py | 0.444324 | 0.22133 | patches.py | pypi |
import sahara.plugins.provisioning as p
from sahara_plugin_mapr.i18n import _
import sahara_plugin_mapr.plugins.mapr.versions.version_handler_factory as vhf
class MapRPlugin(p.ProvisioningPluginBase):
title = 'MapR Hadoop Distribution'
description = _('The MapR Distribution provides a full Hadoop stack that... | /sahara_plugin_mapr-9.0.0.0rc1-py3-none-any.whl/sahara_plugin_mapr/plugins/mapr/plugin.py | 0.540196 | 0.220384 | plugin.py | pypi |
import functools as ft
import sahara.plugins.exceptions as e
from sahara.plugins import resource as r
from sahara.plugins import service_api as api
import sahara.plugins.utils as utils
from sahara_plugin_mapr.i18n import _
class LessThanCountException(e.InvalidComponentCountException):
MESSAGE = _("Hadoop clus... | /sahara_plugin_mapr-9.0.0.0rc1-py3-none-any.whl/sahara_plugin_mapr/plugins/mapr/util/validation_utils.py | 0.59972 | 0.288369 | validation_utils.py | pypi |
import abc
class AbstractClusterContext(object, metaclass=abc.ABCMeta):
@abc.abstractproperty
def mapr_home(self):
return
@abc.abstractproperty
def configure_sh_path(self):
return
@abc.abstractproperty
def configure_sh(self):
return
@abc.abstractproperty
de... | /sahara_plugin_mapr-9.0.0.0rc1-py3-none-any.whl/sahara_plugin_mapr/plugins/mapr/abstract/cluster_context.py | 0.588653 | 0.158858 | cluster_context.py | pypi |
import eventlet
EVENTLET_MONKEY_PATCH_MODULES = dict(os=True,
select=True,
socket=True,
thread=True,
time=True)
def patch_all():
"""Apply all patches.
List of... | /sahara_plugin_mapr-9.0.0.0rc1-py3-none-any.whl/sahara_plugin_mapr/utils/patches.py | 0.444324 | 0.22133 | patches.py | pypi |
import eventlet
EVENTLET_MONKEY_PATCH_MODULES = dict(os=True,
select=True,
socket=True,
thread=True,
time=True)
def patch_all():
"""Apply all patches.
List of... | /sahara_plugin_spark-9.0.0.0rc1-py3-none-any.whl/sahara_plugin_spark/utils/patches.py | 0.444324 | 0.22133 | patches.py | pypi |
import eventlet
EVENTLET_MONKEY_PATCH_MODULES = dict(os=True,
select=True,
socket=True,
thread=True,
time=True)
def patch_all():
"""Apply all patches.
List of... | /sahara-plugin-storm-9.0.0.tar.gz/sahara-plugin-storm-9.0.0/sahara_plugin_storm/utils/patches.py | 0.444324 | 0.22133 | patches.py | pypi |
import copy
from sahara.plugins import provisioning as p
from sahara_plugin_vanilla.i18n import _
from sahara_plugin_vanilla.plugins.vanilla import versionfactory as vhf
class VanillaProvider(p.ProvisioningPluginBase):
def __init__(self):
self.version_factory = vhf.VersionFactory.get_instance()
def... | /sahara_plugin_vanilla-9.0.0-py3-none-any.whl/sahara_plugin_vanilla/plugins/vanilla/plugin.py | 0.562657 | 0.1982 | plugin.py | pypi |
import eventlet
EVENTLET_MONKEY_PATCH_MODULES = dict(os=True,
select=True,
socket=True,
thread=True,
time=True)
def patch_all():
"""Apply all patches.
List of... | /sahara_plugin_vanilla-9.0.0-py3-none-any.whl/sahara_plugin_vanilla/utils/patches.py | 0.444324 | 0.22133 | patches.py | pypi |
Rationale
=========
Introduction
------------
Apache Hadoop is an industry standard and widely adopted MapReduce
implementation, it is one among a growing number of data processing
frameworks. The aim of this project is to enable users to easily provision
and manage clusters with Hadoop and other data processing fram... | /sahara-18.0.0.0rc1.tar.gz/sahara-18.0.0.0rc1/doc/source/intro/overview.rst | 0.889577 | 0.874292 | overview.rst | pypi |
Elastic Data Processing (EDP) SPI
=================================
The EDP job engine objects provide methods for creating, monitoring, and
terminating jobs on Sahara clusters. Provisioning plugins that support EDP
must return an EDP job engine object from the :ref:`get_edp_engine` method
described in :doc:`plugin-sp... | /sahara-18.0.0.0rc1.tar.gz/sahara-18.0.0.0rc1/doc/source/reference/edp-spi.rst | 0.884439 | 0.69537 | edp-spi.rst | pypi |
Elastic Data Processing (EDP)
=============================
Overview
--------
Sahara's Elastic Data Processing facility or :dfn:`EDP` allows the execution
of jobs on clusters created from sahara. EDP supports:
* Hive, Pig, MapReduce, MapReduce.Streaming, Java, and Shell job types on
Hadoop clusters
* Spark jobs on... | /sahara-18.0.0.0rc1.tar.gz/sahara-18.0.0.0rc1/doc/source/user/edp.rst | 0.890821 | 0.82386 | edp.rst | pypi |
Features Overview
=================
This page highlights some of the most prominent features available in
sahara. The guidance provided here is primarily focused on the
runtime aspects of sahara. For discussions about configuring the sahara
server processes please see the :doc:`../admin/configuration-guide` and
:doc:`... | /sahara-18.0.0.0rc1.tar.gz/sahara-18.0.0.0rc1/doc/source/user/features.rst | 0.889093 | 0.75584 | features.rst | pypi |
Sahara (Data Processing) UI User Guide
======================================
This guide assumes that you already have the sahara service and Horizon
dashboard up and running. Don't forget to make sure that sahara is
registered in Keystone. If you require assistance with that, please see the
`installation guide <../in... | /sahara-18.0.0.0rc1.tar.gz/sahara-18.0.0.0rc1/doc/source/user/dashboard-user-guide.rst | 0.804713 | 0.695726 | dashboard-user-guide.rst | pypi |
# Getting started
## How to Build
You must have Python ```2 >=2.7.9``` or Python ```3 >=3.4``` installed on your system to install and run this SDK. This SDK package depends on other Python packages like nose, jsonpickle etc.
These dependencies are defined in the ```requirements.txt``` file that comes with the SDK.... | /sahfqgbwmy-1.1.tar.gz/sahfqgbwmy-1.1/README.md | 0.622115 | 0.942876 | README.md | pypi |
<div align="center">
<h1>
SAHI: Slicing Aided Hyper Inference
</h1>
<h4>
A lightweight vision library for performing large scale object detection & instance segmentation
</h4>
<h4>
<img width="700" alt="teaser" src="https://raw.githubusercontent.com/obss/sahi/main/resources/sliced_inference.gif">
</h4>
<div>... | /sahi-0.11.14.tar.gz/sahi-0.11.14/README.md | 0.671255 | 0.754192 | README.md | pypi |
from attrs import define
from dotenv import load_dotenv
import httpx
import jwt
from rich import print
import base64
from datetime import datetime, timedelta
import os
import constants
load_dotenv()
API_VERSION = "1.13"
CBI_USECASES = [14]
CBI_DEFAULT_MESSAGE_TEMPLATE = 101
DEFAULT_FILENAME = "download.zip"
@defi... | /sahl_nutun_common-0.2.0-py3-none-any.whl/sahl_nutun_common/api.py | 0.40204 | 0.165694 | api.py | pypi |
import json
from typing import Optional, List, Dict, Any
from airflow.exceptions import AirflowException
from airflow.hooks.http_hook import HttpHook
class MattermostWebhookHook(HttpHook):
"""
This hook allows you to post messages to Mattermost using incoming webhooks.
It takes either a Mattermost webhoo... | /sai_airflow_plugins-0.2.1-py3-none-any.whl/sai_airflow_plugins/hooks/mattermost_webhook_hook.py | 0.841337 | 0.24751 | mattermost_webhook_hook.py | pypi |
from airflow.contrib.hooks.ssh_hook import SSHHook
from airflow.exceptions import AirflowException
from fabric import Connection
from invoke import FailingResponder
class FabricHook(SSHHook):
"""
This hook allows you to connect to an SSH remote host and run commands on it using the
[Fabric](https://www.fa... | /sai_airflow_plugins-0.2.1-py3-none-any.whl/sai_airflow_plugins/hooks/fabric_hook.py | 0.834643 | 0.314143 | fabric_hook.py | pypi |
from typing import Optional, List, Dict, Any
from airflow.operators.http_operator import SimpleHttpOperator
from airflow.utils.decorators import apply_defaults
from sai_airflow_plugins.hooks.mattermost_webhook_hook import MattermostWebhookHook
class MattermostWebhookOperator(SimpleHttpOperator):
"""
This op... | /sai_airflow_plugins-0.2.1-py3-none-any.whl/sai_airflow_plugins/operators/mattermost_webhook_operator.py | 0.925676 | 0.304778 | mattermost_webhook_operator.py | pypi |
from airflow.operators.bash_operator import BashOperator
from airflow.operators.dagrun_operator import TriggerDagRunOperator
from airflow.operators.python_operator import PythonOperator
from sai_airflow_plugins.operators.conditional_skip_mixin import ConditionalSkipMixin
from sai_airflow_plugins.operators.fabric_opera... | /sai_airflow_plugins-0.2.1-py3-none-any.whl/sai_airflow_plugins/operators/conditional_operators.py | 0.758153 | 0.285472 | conditional_operators.py | pypi |
from typing import Dict, List, Any, Optional
from airflow.exceptions import AirflowException
from airflow.models.baseoperator import BaseOperator
from airflow.utils.decorators import apply_defaults
from fabric import Result
from invoke import Responder, StreamWatcher
from sai_airflow_plugins.hooks.fabric_hook import ... | /sai_airflow_plugins-0.2.1-py3-none-any.whl/sai_airflow_plugins/operators/fabric_operator.py | 0.908041 | 0.478833 | fabric_operator.py | pypi |
from typing import Callable, Optional, Iterable, Dict
from airflow.exceptions import AirflowSkipException
from airflow.utils.decorators import apply_defaults
class ConditionalSkipMixin(object):
"""
Mixin for making operators and sensors conditional. If the condition evaluates to True the operator or sensor
... | /sai_airflow_plugins-0.2.1-py3-none-any.whl/sai_airflow_plugins/operators/conditional_skip_mixin.py | 0.947721 | 0.433322 | conditional_skip_mixin.py | pypi |
import dataclasses
import time
from enum import Enum, auto
from typing import List
class JudgeEventType(Enum):
JUDGE_START = auto()
AI_CONNECTED = auto()
LOGIC_BOOTED = auto()
NEW_ROUND = auto()
AI_RE = auto()
AI_TLE = auto()
AI_OLE = auto()
LOGIC_CRASHED = auto()
GAME_OVER = auto(... | /saiblo_local_judger-0.0.2-py3-none-any.whl/core/summary.py | 0.540196 | 0.18924 | summary.py | pypi |
import functools
import json
from dataclasses import dataclass
from enum import Enum
from pathlib import Path
from typing import Callable, Union, List, TypeVar
from .logger import LOG
from .utils import int2bytes
@dataclass
class RoundConfig:
state: int
time: int
length: int
@dataclass
class RoundInfo:... | /saiblo_local_judger-0.0.2-py3-none-any.whl/core/protocol.py | 0.800107 | 0.225246 | protocol.py | pypi |
import json
import time
import requests
from saic_ismart_client.ota_v2_1.data_model import OtaRvmVehicleStatusResp25857, RvsPosition, RvsBasicStatus25857
from saic_ismart_client.ota_v3_0.data_model import OtaChrgMangDataResp
class AbrpApiException(Exception):
def __init__(self, msg: str):
self.message = ... | /saic_ismart_client-1.6.0.tar.gz/saic_ismart_client-1.6.0/src/saic_ismart_client/abrp_api.py | 0.613931 | 0.184143 | abrp_api.py | pypi |
from typing import cast
from saic_ismart_client.common_model import Asn1Type, ApplicationData
FIELD_FAILURE_TYPE = 'failureType'
FIELD_RVC_REQ_STS = 'rvcReqSts'
FIELD_VALUE = 'value'
FIELD_ID = 'id'
FIELD_VEHICLE_ALERTS = 'vehicleAlerts'
FIELD_SECONDS = 'seconds'
FIELD_ALTITUDE = 'altitude'
FIELD_LONGITUDE = 'longitu... | /saic_ismart_client-1.6.0.tar.gz/saic_ismart_client-1.6.0/src/saic_ismart_client/ota_v2_1/data_model.py | 0.753467 | 0.157105 | data_model.py | pypi |
from saic_ismart_client.common_model import ApplicationData, MessageV2, MessageCoderV2, MessageBodyV2
class MessageBodyV30(MessageBodyV2):
def __init__(self):
super().__init__()
def ack_message_counter_present(self) -> bool:
return self.ack_message_counter is not None
def ack_required_pr... | /saic_ismart_client-1.6.0.tar.gz/saic_ismart_client-1.6.0/src/saic_ismart_client/ota_v3_0/Message.py | 0.691185 | 0.245514 | Message.py | pypi |
import base64
import hashlib
import json
from binascii import hexlify
try:
from hashlib import sha3_256
except ImportError:
from sha3 import sha3_256
def encode_transaction(value):
"""Encode a transaction (dict) to Base64."""
return base64.b64encode(json.dumps(value).encode('utf8')).decode('utf8')
... | /saiive.chain-2.3.1.0-py3-none-any.whl/bigchaindb/tendermint_utils.py | 0.833934 | 0.283999 | tendermint_utils.py | pypi |
import contextlib
import threading
import queue
import multiprocessing as mp
import json
import setproctitle
from packaging import version
from bigchaindb.version import __tm_supported_versions__
from bigchaindb.tendermint_utils import key_from_base64
from bigchaindb.common.crypto import key_pair_from_ed25519_key
c... | /saiive.chain-2.3.1.0-py3-none-any.whl/bigchaindb/utils.py | 0.681409 | 0.154026 | utils.py | pypi |
from queue import Empty
from collections import defaultdict
from multiprocessing import Queue
POISON_PILL = 'POISON_PILL'
class EventTypes:
"""Container class that holds all the possible
events BigchainDB manages.
"""
# If you add a new Event Type, make sure to add it
# to the docs in docs/ser... | /saiive.chain-2.3.1.0-py3-none-any.whl/bigchaindb/events.py | 0.840488 | 0.167866 | events.py | pypi |
from bigchaindb.backend.schema import validate_language_key
from bigchaindb.common.exceptions import (InvalidSignature,
DuplicateTransaction)
from bigchaindb.common.schema import validate_transaction_schema
from bigchaindb.common.transaction import Transaction
from bigchaindb.... | /saiive.chain-2.3.1.0-py3-none-any.whl/bigchaindb/models.py | 0.903093 | 0.186521 | models.py | pypi |
from collections import OrderedDict
import base58
from uuid import uuid4
from bigchaindb import backend
from bigchaindb.elections.vote import Vote
from bigchaindb.common.exceptions import (InvalidSignature,
MultipleInputsError,
Invali... | /saiive.chain-2.3.1.0-py3-none-any.whl/bigchaindb/elections/election.py | 0.898109 | 0.26754 | election.py | pypi |
from bigchaindb.common.transaction import Transaction
from bigchaindb.common.schema import (_validate_schema,
TX_SCHEMA_COMMON,
TX_SCHEMA_TRANSFER,
TX_SCHEMA_VOTE)
class Vote(Transaction):
OPERATION... | /saiive.chain-2.3.1.0-py3-none-any.whl/bigchaindb/elections/vote.py | 0.899787 | 0.154535 | vote.py | pypi |
from functools import singledispatch
import logging
import bigchaindb
from bigchaindb.backend.connection import connect
from bigchaindb.common.exceptions import ValidationError
from bigchaindb.common.utils import validate_all_values_for_key_in_obj, validate_all_values_for_key_in_list
logger = logging.getLogger(__name... | /saiive.chain-2.3.1.0-py3-none-any.whl/bigchaindb/backend/schema.py | 0.813387 | 0.171096 | schema.py | pypi |
from functools import singledispatch
from bigchaindb.backend.exceptions import OperationError
@singledispatch
def store_asset(connection, asset):
"""Write an asset to the asset table.
Args:
asset (dict): the asset.
Returns:
The result of the operation.
"""
raise NotImplementedE... | /saiive.chain-2.3.1.0-py3-none-any.whl/bigchaindb/backend/query.py | 0.942994 | 0.507507 | query.py | pypi |
import base64
import binascii
import codecs
import bigchaindb
from abci import types_v0_22_8, types_v0_31_5, TmVersion
from bigchaindb.common.exceptions import InvalidPublicKey, BigchainDBError
def encode_validator(v):
ed25519_public_key = v['public_key']['value']
# NOTE: tendermint expects public to be enco... | /saiive.chain-2.3.1.0-py3-none-any.whl/bigchaindb/upsert_validator/validator_utils.py | 0.528777 | 0.185246 | validator_utils.py | pypi |
from bigchaindb.common.exceptions import InvalidPowerChange
from bigchaindb.elections.election import Election
from bigchaindb.common.schema import TX_SCHEMA_VALIDATOR_ELECTION
from .validator_utils import (new_validator_set, encode_validator, validate_asset_public_key)
class ValidatorElection(Election):
OPERAT... | /saiive.chain-2.3.1.0-py3-none-any.whl/bigchaindb/upsert_validator/validator_election.py | 0.68342 | 0.193262 | validator_election.py | pypi |
import time
import re
import rapidjson
import bigchaindb
from bigchaindb.common.exceptions import ValidationError
def gen_timestamp():
"""The Unix time, rounded to the nearest second.
See https://en.wikipedia.org/wiki/Unix_time
Returns:
str: the Unix time
"""
return str(roun... | /saiive.chain-2.3.1.0-py3-none-any.whl/bigchaindb/common/utils.py | 0.852813 | 0.451931 | utils.py | pypi |
import logging
import torch
import os
import pickle as pkl
from torch import Tensor
from typing import Dict, Any
log = logging.getLogger(__name__)
class Checkpointer(object):
"""Checkpoint object to save and restore attributes."""
def __init__(self, toolset: Dict) -> None:
"""
Initialize.
... | /sail_on_client-0.30.0-py3-none-any.whl/sail_on_client/checkpointer.py | 0.902692 | 0.151843 | checkpointer.py | pypi |
from sail_on_client.harness.local_harness import LocalHarness
from sail_on_client.harness.par_harness import ParHarness
from sail_on_client.feedback.feedback import Feedback
from typing import Union, Optional, Dict
import pandas as pd
SUPPORTED_FEEDBACK = [
"labels",
"classification",
"score",
"detect... | /sail_on_client-0.30.0-py3-none-any.whl/sail_on_client/feedback/activity_recognition_feedback.py | 0.904776 | 0.251343 | activity_recognition_feedback.py | pypi |
import pandas as pd
from sail_on_client.harness.par_harness import ParHarness
from sail_on_client.harness.local_harness import LocalHarness
from typing import Union, Dict
class Feedback:
"""Base class for Feedback."""
def __init__(
self,
first_budget: int,
income_per_batch: int,
... | /sail_on_client-0.30.0-py3-none-any.whl/sail_on_client/feedback/feedback.py | 0.933355 | 0.222204 | feedback.py | pypi |
import pandas as pd
from sail_on_client.harness.local_harness import LocalHarness
from sail_on_client.harness.par_harness import ParHarness
from sail_on_client.feedback.feedback import Feedback
from typing import Union, Dict
SUPPORTED_FEEDBACK = ["classification", "score", "transcription"]
class DocumentTranscript... | /sail_on_client-0.30.0-py3-none-any.whl/sail_on_client/feedback/document_transcription_feedback.py | 0.931408 | 0.189296 | document_transcription_feedback.py | pypi |
import warnings
import numpy as np
from sail_on_client.evaluate.utils import (
check_novel_validity,
check_class_validity,
get_first_detect_novelty,
top1_accuracy,
top3_accuracy,
get_rolling_stats,
topk_accuracy,
)
from typing import Dict
DETECT_THRESH_ = [0.175, 0.225, 0.3, 0.4, 0.5, 0.6... | /sail_on_client-0.30.0-py3-none-any.whl/sail_on_client/evaluate/metrics.py | 0.861188 | 0.444083 | metrics.py | pypi |
from sail_on_client.evaluate.program_metrics import ProgramMetrics
from sail_on_client.evaluate.metrics import m_acc, m_num, m_ndp, m_num_stats
from sail_on_client.evaluate.metrics import m_ndp_failed_reaction
from sail_on_client.evaluate.metrics import m_accuracy_on_novel
from sail_on_client.evaluate.utils import top... | /sail_on_client-0.30.0-py3-none-any.whl/sail_on_client/evaluate/document_transcription.py | 0.924849 | 0.445771 | document_transcription.py | pypi |
from sail_on_client.evaluate.program_metrics import ProgramMetrics
from sail_on_client.evaluate.metrics import m_acc, m_num, m_ndp, m_num_stats
from sail_on_client.evaluate.metrics import m_ndp_failed_reaction
from sail_on_client.evaluate.metrics import m_accuracy_on_novel
from sail_on_client.evaluate.utils import top... | /sail_on_client-0.30.0-py3-none-any.whl/sail_on_client/evaluate/activity_recognition.py | 0.956836 | 0.453322 | activity_recognition.py | pypi |
import numpy as np
from abc import ABC, abstractmethod
from typing import Dict
class ProgramMetrics(ABC):
"""Abstract program metric class."""
def __init__(self, protocol: str) -> None:
"""
Initialize.
Args:
protocol: Name of the protocol.
Returns:
N... | /sail_on_client-0.30.0-py3-none-any.whl/sail_on_client/evaluate/program_metrics.py | 0.963652 | 0.582847 | program_metrics.py | pypi |
import numpy as np
import pandas as pd
from typing import List
def check_novel_validity(p_novel: np.ndarray, gt_novel: np.ndarray) -> None:
"""
Check the validity of the inputs for per-sample novelty detection.
Args:
p_novel: NX1 vector with each element corresponding to probability of novelty
... | /sail_on_client-0.30.0-py3-none-any.whl/sail_on_client/evaluate/utils.py | 0.948751 | 0.755907 | utils.py | pypi |
from sail_on_client.evaluate.program_metrics import ProgramMetrics
from sail_on_client.evaluate.metrics import m_acc, m_num, m_ndp, m_num_stats
from sail_on_client.evaluate.metrics import m_ndp_failed_reaction
from sail_on_client.evaluate.metrics import m_accuracy_on_novel
from sail_on_client.evaluate.utils import top... | /sail_on_client-0.30.0-py3-none-any.whl/sail_on_client/evaluate/image_classification.py | 0.938646 | 0.538134 | image_classification.py | pypi |
from sail_on_client.checkpointer import Checkpointer
from sail_on_client.agent.condda_agent import CONDDAAgent
from typing import Dict, Any, Tuple, Callable
import logging
import os
import shutil
import torch
log = logging.getLogger(__name__)
class MockCONDDAAgent(CONDDAAgent):
"""Mock Detector for CONDDA Prot... | /sail_on_client-0.30.0-py3-none-any.whl/sail_on_client/agent/mock_condda_agents.py | 0.936343 | 0.268276 | mock_condda_agents.py | pypi |
from sail_on_client.checkpointer import Checkpointer
from sail_on_client.agent.ond_agent import ONDAgent
from typing import Dict, Any, Tuple, Callable
import logging
import os
import shutil
import torch
log = logging.getLogger(__name__)
class MockONDAgent(ONDAgent):
"""Mock Detector for OND Protocol."""
... | /sail_on_client-0.30.0-py3-none-any.whl/sail_on_client/agent/mock_ond_agents.py | 0.933862 | 0.264531 | mock_ond_agents.py | pypi |
from sail_on_client.agent.ond_reaction_agent import ONDReactionAgent
from sail_on_client.agent.pre_computed_detector import PreComputedONDAgent
import logging
from typing import Dict, Any, Tuple
log = logging.getLogger(__name__)
class PreComputedONDReactionAgent(ONDReactionAgent):
"""Detector for submitting pr... | /sail_on_client-0.30.0-py3-none-any.whl/sail_on_client/agent/pre_computed_reaction_agent.py | 0.950983 | 0.254683 | pre_computed_reaction_agent.py | pypi |
from sail_on_client.agent.visual_agent import VisualAgent
from sail_on_client.agent.ond_agent import ONDAgent
from sail_on_client.agent.condda_agent import CONDDAAgent
from typing import Dict, Any, Tuple, Callable
import logging
import os
import pandas as pd
log = logging.getLogger(__name__)
class PreComputedAgent... | /sail_on_client-0.30.0-py3-none-any.whl/sail_on_client/agent/pre_computed_detector.py | 0.926694 | 0.226955 | pre_computed_detector.py | pypi |
from sail_on_client.agent.ond_agent import ONDAgent
from sail_on_client.harness.test_and_evaluation_harness import (
TestAndEvaluationHarnessType,
)
from sail_on_client.protocol.visual_protocol import VisualProtocol
from sail_on_client.utils.numpy_encoder import NumpyEncoder
from sail_on_client.protocol.ond_datacl... | /sail_on_client-0.30.0-py3-none-any.whl/sail_on_client/protocol/ond_protocol.py | 0.89303 | 0.202838 | ond_protocol.py | pypi |
import logging
from typing import List, Any, Tuple, Dict
from sail_on_client.protocol.visual_dataclasses import (
FeatureExtractionParams,
WorldChangeDetectionParams,
)
from sail_on_client.harness.test_and_evaluation_harness import (
TestAndEvaluationHarnessType,
)
from sail_on_client.utils.utils import s... | /sail_on_client-0.30.0-py3-none-any.whl/sail_on_client/protocol/visual_round.py | 0.92215 | 0.390708 | visual_round.py | pypi |
from sail_on_client.agent.condda_agent import CONDDAAgent
from sail_on_client.harness.test_and_evaluation_harness import (
TestAndEvaluationHarnessType,
)
from sail_on_client.protocol.visual_protocol import VisualProtocol
from sail_on_client.protocol.condda_dataclasses import AlgorithmAttributes
from sail_on_clien... | /sail_on_client-0.30.0-py3-none-any.whl/sail_on_client/protocol/condda_protocol.py | 0.890732 | 0.265098 | condda_protocol.py | pypi |
from dataclasses import dataclass
import logging
from typing import Dict, List, Any, Union
from sail_on_client.utils.utils import merge_dictionaries
from sail_on_client.feedback.image_classification_feedback import (
ImageClassificationFeedback,
)
from sail_on_client.feedback.document_transcription_feedback import... | /sail_on_client-0.30.0-py3-none-any.whl/sail_on_client/protocol/ond_dataclasses.py | 0.932837 | 0.278824 | ond_dataclasses.py | pypi |
import logging
from typing import List, Dict, Any
from sail_on_client.harness.test_and_evaluation_harness import (
TestAndEvaluationHarnessType,
)
from sail_on_client.utils.decorators import skip_stage
from sail_on_client.protocol.visual_round import VisualRound
from sail_on_client.protocol.condda_dataclasses imp... | /sail_on_client-0.30.0-py3-none-any.whl/sail_on_client/protocol/condda_round.py | 0.909196 | 0.262795 | condda_round.py | pypi |
import logging
from typing import List, Any, Dict, Union
from sail_on_client.protocol.ond_dataclasses import (
NoveltyClassificationParams,
NoveltyAdaptationParams,
)
from sail_on_client.protocol.visual_dataclasses import (
FeatureExtractionParams,
WorldChangeDetectionParams,
)
from sail_on_client.pro... | /sail_on_client-0.30.0-py3-none-any.whl/sail_on_client/protocol/ond_round.py | 0.942837 | 0.324115 | ond_round.py | pypi |
import logging
from typing import Dict, TypeVar, Type, Any
from sail_on_client.harness.test_and_evaluation_harness import (
TestAndEvaluationHarnessType,
)
from sail_on_client.agent.visual_agent import VisualAgentType
from tinker.protocol import Protocol
from tinker.configuration import process_config
log = log... | /sail_on_client-0.30.0-py3-none-any.whl/sail_on_client/protocol/visual_protocol.py | 0.92258 | 0.270339 | visual_protocol.py | pypi |
from dataclasses import dataclass
import logging
from typing import Dict, List, Any
from sail_on_client.utils.utils import merge_dictionaries
try:
from importlib.metadata import version, PackageNotFoundError # type:ignore
except ModuleNotFoundError:
from importlib_metadata import version, PackageNotFoundErro... | /sail_on_client-0.30.0-py3-none-any.whl/sail_on_client/protocol/condda_dataclasses.py | 0.922822 | 0.30905 | condda_dataclasses.py | pypi |
import requests
import json
import io
import os
import traceback
import logging
from sail_on_client.harness.test_and_evaluation_harness import TestAndEvaluationHarness
from typing import Any, Dict, Union, List
from requests import Response
from sail_on_client.errors import ApiError, RoundError
from tenacity import (
... | /sail_on_client-0.30.0-py3-none-any.whl/sail_on_client/harness/par_harness.py | 0.903752 | 0.192312 | par_harness.py | pypi |
from typing import Any, List, Tuple, Dict
def _get_all_subclasses(cls: Any) -> List[Any]:
from itertools import chain
return list(
chain.from_iterable(
[
list(chain.from_iterable([[x], _get_all_subclasses(x)]))
for x in cls.__subclasses__()
]
... | /sail_on_client-0.30.0-py3-none-any.whl/sail_on_client/errors/errors.py | 0.959068 | 0.253243 | errors.py | pypi |
import wave
import numpy as np
import pandas as pd
class FreqAnalysis:
"""
spectrum analysis class
"""
def __init__(self, file_name: str):
wav = wave.open(file_name, 'rb')
n_frames = wav.getnframes()
self._frame_rate = wav.getframerate()
self._duration = n_frames / sel... | /sail-utils-0.2.24.tar.gz/sail-utils-0.2.24/sail_utils/audio/spectrum.py | 0.81721 | 0.300104 | spectrum.py | pypi |
from abc import (
ABC,
abstractmethod,
)
import cv2
from sail_utils import LOGGER
class _Streamer(ABC):
def __init__(self, source: str, rate: float):
self._source = source
self._rate = rate
self._stream = None
@property
def source(self) -> str:
"""
get t... | /sail-utils-0.2.24.tar.gz/sail-utils-0.2.24/sail_utils/cv/base.py | 0.904894 | 0.275909 | base.py | pypi |
import cv2
import numpy as np
from sail_utils import LOGGER
def _run_in_batches(func, data_dict, out, batch):
data_len = len(out)
num_batches = int(data_len / batch)
start, end = 0, 0
for i in range(num_batches):
start, end = i * batch, (i + 1) * batch
batch_data_dict = {k: v[start:e... | /sail-utils-0.2.24.tar.gz/sail-utils-0.2.24/sail_utils/cv/encode.py | 0.798344 | 0.432423 | encode.py | pypi |
from dataclasses import dataclass
import glob
from pathlib import Path
import subprocess as sp
import time
import cv2
import numpy as np
from sail_utils.cv.base import _Streamer
class LiveStreamer(_Streamer):
"""
class for read from a live feed
"""
def __init__(self, source: str, rate: float, max_e... | /sail-utils-0.2.24.tar.gz/sail-utils-0.2.24/sail_utils/cv/frame.py | 0.835551 | 0.186484 | frame.py | pypi |
from pathlib import Path
from simpleutils.time import unix2dt
from sail_utils.oss.utilities import OSSUtility
from sail_utils.utilities import _merge
class Merger:
"""
class for merger
"""
def __init__(self, company_id: int,
shop_id: int,
ipc_id: int,
... | /sail-utils-0.2.24.tar.gz/sail-utils-0.2.24/sail_utils/cv/merge.py | 0.614625 | 0.172764 | merge.py | pypi |
import uuid
import numpy as np
from sail_utils.cv.head.deep_sort import iou_matching
from sail_utils.cv.head.deep_sort import kalman_filter
from sail_utils.cv.head.deep_sort import linear_assignment
from sail_utils.cv.head.deep_sort.config import (
MAX_AGE,
MAX_IOU_DISTANCE,
N_INIT
)
from sail_utils.cv.h... | /sail-utils-0.2.24.tar.gz/sail-utils-0.2.24/sail_utils/cv/head/deep_sort/tracker.py | 0.877437 | 0.457197 | tracker.py | pypi |
import numpy as np
from sail_utils.cv.head.deep_sort.config import (
MAX_COSINE_DISTANCE,
NN_BUDGET
)
def _pdist(a, b):
"""Compute pair-wise squared distance between points in `a` and `b`.
Parameters
----------
a : array_like
An NxM matrix of N samples of dimensionality M.
b : a... | /sail-utils-0.2.24.tar.gz/sail-utils-0.2.24/sail_utils/cv/head/deep_sort/nn_matching.py | 0.958866 | 0.901834 | nn_matching.py | pypi |
import numpy as np
import scipy.linalg
"""
Table for the 0.95 quantile of the chi-square distribution with N degrees of
freedom (contains values for N=1, ..., 9). Taken from MATLAB/Octave's chi2inv
function and used as Mahalanobis gating threshold.
"""
chi2inv95 = {
1: 3.8415,
2: 5.9915,
3: 7.8147,
4:... | /sail-utils-0.2.24.tar.gz/sail-utils-0.2.24/sail_utils/cv/head/deep_sort/kalman_filter.py | 0.950824 | 0.819965 | kalman_filter.py | pypi |
import numpy as np
from scipy.optimize import linear_sum_assignment
from sail_utils.cv.head.deep_sort import kalman_filter
INFTY_COST = 1e+5
def min_cost_matching(
distance_metric, max_distance, tracks, detections, track_indices=None,
detection_indices=None):
"""
Solve linear assignment pro... | /sail-utils-0.2.24.tar.gz/sail-utils-0.2.24/sail_utils/cv/head/deep_sort/linear_assignment.py | 0.949949 | 0.764232 | linear_assignment.py | pypi |
class TrackState:
"""
Enumeration type for the single target track state. Newly created tracks are
classified as `tentative` until enough evidence has been collected. Then,
the track state is changed to `confirmed`. Tracks that are no longer alive
are classified as `deleted` to mark them for removal... | /sail-utils-0.2.24.tar.gz/sail-utils-0.2.24/sail_utils/cv/head/deep_sort/track.py | 0.965332 | 0.8586 | track.py | pypi |
# Sailboat Gym ⛵
Welcome to Sailboat Gym! This repository provides a dynamic simulation environment specifically designed for sailboats. With Sailboat Gym, you can explore and experiment with different control algorithms and strategies in a realistic virtual sailing environment.
## Table of ... | /sailboat-gym-1.0.40.tar.gz/sailboat-gym-1.0.40/README.md | 0.919195 | 0.993455 | README.md | pypi |
import os.path as osp
import re
import pickle
import pandas as pd
import numpy as np
from glob import glob
from functools import lru_cache
from ..envs import env_by_name
current_dir = osp.dirname(osp.abspath(__file__))
pkl_dir = osp.join(current_dir, '..', 'pkl')
def extract_index(filepath):
matchs = re.findall... | /sailboat-gym-1.0.40.tar.gz/sailboat-gym-1.0.40/sailboat_gym/helpers/get_best_sail.py | 0.512937 | 0.321267 | get_best_sail.py | pypi |
import click
import os.path as osp
import re
import pickle
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from functools import lru_cache
from glob import glob
from ..envs import env_by_name
current_dir = osp.dirname(osp.abspath(__file__))
pkl_dir = osp.join(current_dir, '..', 'pkl')
def ext... | /sailboat-gym-1.0.40.tar.gz/sailboat-gym-1.0.40/sailboat_gym/helpers/get_vmc.py | 0.438304 | 0.260331 | get_vmc.py | pypi |
import numpy as np
from typing import Callable, Union
from ...abstracts import AbcRender
from ...types import Observation, Action
from ...utils import is_debugging_all
from ..env import SailboatEnv
from .lsa_sim import LSASim
class SailboatLSAEnv(SailboatEnv):
NB_STEPS_PER_SECONDS = 10 # Hz
def __init__(se... | /sailboat-gym-1.0.40.tar.gz/sailboat-gym-1.0.40/sailboat_gym/envs/sailboat_lsa/lsa_env.py | 0.85564 | 0.504455 | lsa_env.py | pypi |
__all__ = ["Environment"]
import json
import random
import numpy as np
from sailboat_playground.constants import constants
class Environment:
def __init__(self, config_file: str):
try:
with open(config_file, "r") as f:
self._config = json.loads(f.read())
f.clos... | /sailboat_playground-0.1.1.tar.gz/sailboat_playground-0.1.1/sailboat_playground/engine/Environment.py | 0.625209 | 0.150528 | Environment.py | pypi |
__all__ = ["Manager"]
import numpy as np
from numpy.linalg.linalg import norm
from sailboat_playground.engine.utils import *
from sailboat_playground.engine.Boat import Boat
from sailboat_playground.constants import constants
from sailboat_playground.engine.Environment import Environment
class Manager:
def __ini... | /sailboat_playground-0.1.1.tar.gz/sailboat_playground-0.1.1/sailboat_playground/engine/Manager.py | 0.762866 | 0.313945 | Manager.py | pypi |
__all__ = ["Boat"]
import json
import numpy as np
from os import path
import pandas as pd
from sailboat_playground.constants import constants
class Boat:
def __init__(self, config_file: str, foils_dir: str = "foils/"):
try:
with open(config_file, "r") as f:
self._config = json... | /sailboat_playground-0.1.1.tar.gz/sailboat_playground-0.1.1/sailboat_playground/engine/Boat.py | 0.6488 | 0.161585 | Boat.py | pypi |
import pyglet
import numpy as np
from sailboat_playground.engine.utils import compute_angle
from sailboat_playground.visualization.Sailboat import Sailboat
from sailboat_playground.visualization.utils import map_position
from sailboat_playground.visualization.resources.resources import wind_image, speed_image, buoy_ima... | /sailboat_playground-0.1.1.tar.gz/sailboat_playground-0.1.1/sailboat_playground/visualization/Viewer.py | 0.653569 | 0.298146 | Viewer.py | pypi |
<h1 align="center"><img src="https://www.pinclipart.com/picdir/big/383-3832964_im-on-a-boat-stamp-sailboat-stencil-clipart.png" width="70px">
<br>
sailboat
<br>
<a href="https://github.com/cole-wilson/sailboat"><img alt="GitHub Repo stars" src="https://img.shields.io/github/stars/cole-wilson/sailboat?style=social"></a>... | /sailboat-0.26.1.tar.gz/sailboat-0.26.1/README.md | 0.49048 | 0.938067 | README.md | pypi |
References
==========
.. rubric: References
.. [Baccala2001] Baccala L.A. and Sameshima K. Partial directed coherence: a new concept in neural structure determination. Biological Cybernetics. 84. 463-474. https://doi.org/10.1007/PL00007990
.. [Barrett2010] Barrett A.B., Barnett L. and Seth A.K. Multivariate G... | /sails-1.4.0.tar.gz/sails-1.4.0/doc/source/references.rst | 0.894732 | 0.815233 | references.rst | pypi |
Tutorial 9 - Modal decomposition of a simulated system
======================================================
One of the main features of SAILS is the ability to perform a modal
decomposition on fitted MVAR models. This tutorial will outline the use of
modal decomposition on some simulated data. This example is incl... | /sails-1.4.0.tar.gz/sails-1.4.0/doc/source/tutorials/tutorial9.rst | 0.963317 | 0.914749 | tutorial9.rst | pypi |
Tutorial 6 - Sliding window univariate model estimation
=======================================================
In this tutorial, we will examine fitting multiple models using a sliding window approach.
For this tutorial, we will use the same MEG example data which we have used in previous
tutorials.
We start by imp... | /sails-1.4.0.tar.gz/sails-1.4.0/doc/source/tutorials/tutorial6.rst | 0.938695 | 0.864654 | tutorial6.rst | pypi |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.