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 struct
from enum import Enum
from typing import BinaryIO
class Order(Enum):
"""
Pre-defined orders
"""
HELLO = 0
SERVO = 1
MOTOR = 2
ALREADY_CONNECTED = 3
ERROR = 4
RECEIVED = 5
STOP = 6
def read_order(f: BinaryIO) -> Order:
"""
:param f: file handler or seria... | /robust_serial-0.2-py3-none-any.whl/robust_serial/robust_serial.py | 0.722918 | 0.253289 | robust_serial.py | pypi |
import glob
import queue
import sys
from typing import List, Optional
import serial
# From https://stackoverflow.com/questions/6517953/clear-all-items-from-the-queue
class CustomQueue(queue.Queue):
"""
A custom queue subclass that provides a :meth:`clear` method.
"""
def clear(self) -> None:
... | /robust_serial-0.2-py3-none-any.whl/robust_serial/utils.py | 0.476092 | 0.178204 | utils.py | pypi |
from abc import abstractmethod
import sys
if sys.version_info > (3, 3):
import urllib.parse as parse
else:
import urlparse as parse
import numpy as np
from foolbox.models import DifferentiableModel
from foolbox.attacks import Attack
import foolbox
class HTTPClient(object):
"""Base class for HTTPModel a... | /robust_vision_benchmark-0.9.1.tar.gz/robust_vision_benchmark-0.9.1/robust_vision_benchmark/client.py | 0.70416 | 0.293379 | client.py | pypi |
from __future__ import print_function
from __future__ import absolute_import
from functools import wraps
import inspect
import os
from io import BytesIO
from flask import Flask
from flask import Response
from flask import request
from PIL import Image
import numpy as np
import bson
from .client import BSONModel
im... | /robust_vision_benchmark-0.9.1.tar.gz/robust_vision_benchmark-0.9.1/robust_vision_benchmark/server.py | 0.862583 | 0.356433 | server.py | pypi |
from .utils import *
from .utils import JDEoptim, _psi_conv_cc, _psi2ipsi, _regularize_Mpsi, _convSS, _Mpsi, _Mwgt
from argparse import Namespace
from six import string_types
class NlrobControl():
"""
Class that contains the parameters options of the lmrob functions
"""
def __init__(self,
... | /robustPy-1.0.tar.gz/robustPy-1.0/nlrob/nlrob.py | 0.701611 | 0.364806 | nlrob.py | pypi |
import logging
from concurrent.futures.process import ProcessPoolExecutor
from typing import Dict, List, NamedTuple, Optional, Type, Union
from hikaru.model.rel_1_26 import DaemonSet, HorizontalPodAutoscaler, Job, Node, NodeList, StatefulSet
from pydantic.main import BaseModel
from robusta.core.model.env_vars import ... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/integrations/prometheus/trigger.py | 0.792986 | 0.178992 | trigger.py | pypi |
import logging
import re
from queue import PriorityQueue
from typing import Dict, List, Tuple, Union
from robusta.core.reporting import (
BaseBlock,
FileBlock,
Finding,
FindingSeverity,
HeaderBlock,
ListBlock,
MarkdownBlock,
TableBlock,
)
from robusta.core.reporting.utils import add_png... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/integrations/jira/sender.py | 0.703244 | 0.484258 | sender.py | pypi |
import logging
from datetime import datetime, timedelta, tzinfo
from typing import Optional, Union
from robusta.core.model.base_params import PrometheusParams
from robusta.core.model.env_vars import PROMETHEUS_REQUEST_TIMEOUT_SECONDS
from robusta.integrations.prometheus.utils import get_prometheus_connect
class Prom... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/integrations/resource_analysis/prometheus_analyzer.py | 0.887223 | 0.15876 | prometheus_analyzer.py | pypi |
from collections import OrderedDict
from hikaru.model.rel_1_26 import Node
from robusta.core.model.base_params import PrometheusParams
from robusta.core.model.env_vars import PROMETHEUS_REQUEST_TIMEOUT_SECONDS
from robusta.integrations.prometheus.utils import get_prometheus_connect
class NodeCpuAnalyzer:
# TODO... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/integrations/resource_analysis/node_cpu_analyzer.py | 0.617974 | 0.306819 | node_cpu_analyzer.py | pypi |
import logging
import re
from itertools import chain
from typing import Any, Dict, List, Tuple, Union
from robusta.core.reporting.base import Finding, FindingSeverity, FindingStatus
from robusta.core.reporting.blocks import (
BaseBlock,
FileBlock,
HeaderBlock,
KubernetesDiffBlock,
ListBlock,
Ma... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/integrations/mattermost/sender.py | 0.784773 | 0.191933 | sender.py | pypi |
from enum import Enum
from typing import Callable, List, Optional
from robusta.core.model.base_params import ProcessParams
from robusta.core.reporting.base import Finding
from robusta.core.reporting.blocks import BaseBlock, CallbackBlock, CallbackChoice, MarkdownBlock, TableBlock
from robusta.integrations.kubernetes.c... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/integrations/kubernetes/process_utils.py | 0.876079 | 0.38393 | process_utils.py | pypi |
import json
import logging
import re
import time
from enum import Enum, auto
from kubernetes.client import ApiException
from typing import Dict, List, Optional, Tuple, Type, TypeVar
import hikaru
import yaml
from hikaru.model.rel_1_26 import * # * import is necessary for hikaru subclasses to work
from pydantic import... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/integrations/kubernetes/custom_models.py | 0.492676 | 0.249087 | custom_models.py | pypi |
import logging
import traceback
from abc import abstractmethod
from dataclasses import dataclass
from typing import List, Optional, Union
from hikaru.model.rel_1_26 import (
ClusterRole,
ClusterRoleBinding,
ConfigMap,
DaemonSet,
Deployment,
Event,
HorizontalPodAutoscaler,
Ingress,
... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/integrations/kubernetes/autogenerated/events.py | 0.817647 | 0.169131 | events.py | pypi |
import base64
import os
import tempfile
import uuid
from typing import List
from robusta.core.reporting.blocks import FileBlock
from robusta.core.reporting.utils import JPG_SUFFIX, PNG_SUFFIX, file_suffix_match, is_image
from robusta.integrations.msteams.msteams_elements.msteams_images import MsTeamsImages
class MsT... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/integrations/msteams/msteams_adaptive_card_files_image.py | 0.483892 | 0.197425 | msteams_adaptive_card_files_image.py | pypi |
import json
import logging
from typing import List
import requests
from robusta.core.reporting import (
FileBlock,
Finding,
FindingSeverity,
HeaderBlock,
KubernetesDiffBlock,
ListBlock,
MarkdownBlock,
TableBlock,
)
from robusta.core.reporting.base import FindingStatus
from robusta.inte... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/integrations/msteams/msteams_msg.py | 0.688678 | 0.200832 | msteams_msg.py | pypi |
import logging
from robusta.core.reporting import (
BaseBlock,
CallbackBlock,
DividerBlock,
Enrichment,
FileBlock,
Finding,
HeaderBlock,
KubernetesDiffBlock,
ListBlock,
MarkdownBlock,
TableBlock,
)
from robusta.integrations.msteams.msteams_msg import MsTeamsMsg
class MsTea... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/integrations/msteams/sender.py | 0.530966 | 0.184602 | sender.py | pypi |
import uuid
from typing import List
from robusta.core.reporting import FileBlock
from robusta.integrations.msteams.msteams_elements.msteams_action import MsTeamsAction
from robusta.integrations.msteams.msteams_elements.msteams_column import MsTeamsColumn
from robusta.integrations.msteams.msteams_elements.msteams_conta... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/integrations/msteams/msteams_adaptive_card_files_text.py | 0.534491 | 0.198821 | msteams_adaptive_card_files_text.py | pypi |
from robusta.integrations.msteams.msteams_elements.msteams_base import MsTeamsBase
from robusta.integrations.msteams.msteams_mark_down_fix_url import MsTeamsMarkDownFixUrl
class MsTeamsTextBlock(MsTeamsBase):
def __init__(
self,
text: str,
is_subtle: bool = None,
wrap: bool = None,... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/integrations/msteams/msteams_elements/msteams_text_block.py | 0.846419 | 0.247152 | msteams_text_block.py | pypi |
import logging
import re
from enum import Enum
from itertools import chain
from typing import Dict, List, Tuple, Union
import requests
from robusta.core.model.env_vars import DISCORD_TABLE_COLUMNS_LIMIT, ROBUSTA_LOGO_URL
from robusta.core.reporting import (
BaseBlock,
FileBlock,
Finding,
FindingSeveri... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/integrations/discord/sender.py | 0.789558 | 0.168378 | sender.py | pypi |
import os
import shlex
import subprocess
import time
from contextlib import contextmanager
from typing import List, Optional
import click_spinner
import requests
import toml
import typer
from dpath.util import get
PLAYBOOKS_DIR = "playbooks/"
def namespace_to_kubectl(namespace: Optional[str]):
if namespace is N... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/cli/utils.py | 0.57332 | 0.20466 | utils.py | pypi |
import json
import secrets
import string
import time
from typing import Any, Dict, Optional
import jwt as JWT
import typer
import yaml
from pydantic import BaseModel
from robusta.cli.backend_profile import BackendProfile
ISSUER: str = "supabase"
def issued_at() -> int:
return int(time.time())
def gen_secret(... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/cli/self_host.py | 0.711431 | 0.161883 | self_host.py | pypi |
import logging
from dataclasses import InitVar, is_dataclass
from inspect import getmodule, signature
from typing import Dict, List, Optional, Union, get_type_hints
from hikaru import HikaruBase, HikaruDocumentBase
from kubernetes.client.models.events_v1_event import EventsV1Event
from kubernetes.client.models.v1_cont... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/patch/patch.py | 0.813942 | 0.249464 | patch.py | pypi |
import re
import urllib.parse
from collections import defaultdict
from typing import List, Optional
import markdown2
from fpdf import FPDF
from fpdf.fonts import FontFace
try:
from tabulate import tabulate
except ImportError:
def tabulate(*args, **kwargs):
raise ImportError("Please install tabulate t... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/core/sinks/transformer.py | 0.73077 | 0.272968 | transformer.py | pypi |
import base64
import json
import logging
import uuid
from datetime import datetime
from typing import Any, Dict
from robusta.core.reporting import (
CallbackBlock,
DividerBlock,
Enrichment,
EventsRef,
FileBlock,
Finding,
HeaderBlock,
JsonBlock,
KubernetesDiffBlock,
ListBlock,
... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/core/sinks/robusta/dal/model_conversion.py | 0.601242 | 0.231745 | model_conversion.py | pypi |
import logging
from typing import Dict, Any, Optional
import requests
from robusta.core.model.k8s_operation_type import K8sOperationType
from robusta.core.reporting.base import BaseBlock, Finding, FindingSeverity, Enrichment
from robusta.core.reporting.blocks import (
HeaderBlock,
JsonBlock,
KubernetesDif... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/core/sinks/pagerduty/pagerduty_sink.py | 0.730386 | 0.197116 | pagerduty_sink.py | pypi |
from typing import List, Optional
from hikaru.model.rel_1_26 import Event, EventList
from robusta.core.reporting import EventRow, EventsBlock, TableBlock
from robusta.core.reporting.custom_rendering import RendererType, render_value
from robusta.integrations.kubernetes.api_client_utils import parse_kubernetes_datetim... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/core/playbooks/common.py | 0.830903 | 0.221709 | common.py | pypi |
import inspect
from typing import Callable, Dict, List, Optional, Tuple, Type, cast
from pydantic.main import BaseModel
from robusta.core.model.events import ExecutionBaseEvent, ExecutionEventBaseParams
from robusta.utils.decorators import doublewrap
class NotAnActionException(Exception):
def __init__(self, obj... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/core/playbooks/actions_registry.py | 0.859103 | 0.228006 | actions_registry.py | pypi |
import math
from collections import defaultdict, namedtuple
from datetime import datetime, timedelta
from string import Template
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import humanize
import pygal
from hikaru.model.rel_1_26 import Node
from prometrix import PrometheusQueryResult, Promethe... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/core/playbooks/prometheus_enrichment_utils.py | 0.830181 | 0.23688 | prometheus_enrichment_utils.py | pypi |
import logging
from typing import List, Optional
from hikaru.model.rel_1_26 import Pod
from robusta.core.reporting import BaseBlock, FileBlock, MarkdownBlock
from robusta.integrations.kubernetes.custom_models import NamedRegexPattern, RegexReplacementStyle
def get_crash_report_blocks(
pod: Pod,
regex_replac... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/core/playbooks/pod_utils/crashloop_utils.py | 0.500244 | 0.187951 | crashloop_utils.py | pypi |
import enum
import json
import logging
import re
from enum import Flag
from typing import List, Optional
from hikaru.model.rel_1_26 import ContainerStatus, Event, EventList, Pod, PodStatus
from robusta.core.reporting import BaseBlock, HeaderBlock, MarkdownBlock
class ImagePullBackoffReason(Flag):
Unknown = 0
... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/core/playbooks/pod_utils/imagepull_utils.py | 0.496094 | 0.196267 | imagepull_utils.py | pypi |
import logging
from collections import defaultdict
from concurrent.futures.process import ProcessPoolExecutor
from typing import Dict, List, Optional, Union
from hikaru.model.rel_1_26 import Deployment, DaemonSet, StatefulSet, Job, Pod, ReplicaSet, Volume, Container
from kubernetes import client
from kubernetes.client... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/core/discovery/discovery.py | 0.692434 | 0.153486 | discovery.py | pypi |
from typing import Callable, List, Optional
from kubernetes import client
from pydantic import BaseModel
from robusta.utils.error_codes import ActionException, ErrorCodes
class ResourceLister(BaseModel):
list_all: Callable
list_namespaced: Optional[Callable]
LISTERS = { # TODO add ingress and cronjobs on... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/core/discovery/resource_names.py | 0.460532 | 0.205018 | resource_names.py | pypi |
from typing import Dict, List, Optional, Union
from hikaru.model.rel_1_26 import Container, Volume
from kubernetes.client import V1Container, V1Volume
from pydantic import BaseModel
class EnvVar(BaseModel):
name: str
value: str
class Resources(BaseModel):
limits: Dict[str, str]
requests: Dict[str, ... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/core/model/services.py | 0.850887 | 0.217358 | services.py | pypi |
import copy
import logging
import uuid
from collections import defaultdict
from dataclasses import dataclass, field
from enum import Enum
from typing import Any, Dict, List, Optional
from pydantic import BaseModel
from robusta.core.reporting.base import (
BaseBlock,
Finding,
FindingSeverity,
FindingSo... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/core/model/events.py | 0.843734 | 0.210239 | events.py | pypi |
from io import StringIO
_DEFAULT_EXAMPLES = {
"string": "string",
"integer": 1,
"number": 1.0,
"boolean": True,
"array": [],
}
_DEFAULT_STRING_EXAMPLES = {
"date": "2020-01-01",
"date-time": "2020-01-01T01:01:01Z",
"password": "********",
"byte": "QG1pY2hhZWxncmFoYW1ldmFucw==",
... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/utils/json_schema.py | 0.708112 | 0.495239 | json_schema.py | pypi |
import inspect
import json
import logging
from pydantic import BaseModel
from pydantic.fields import ModelField
from robusta.utils.docs import Docstring
class DocumentedModel(BaseModel):
"""
Extends pydantic.BaseModel so that you can document models with docstrings and not using
Field(..., descripti... | /robusta_cli-0.10.22a1-py3-none-any.whl/robusta/utils/documented_pydantic.py | 0.47025 | 0.285098 | documented_pydantic.py | pypi |
# ROBUSTA
### Author: [Eitan Hemed](mailto:Eitan.Hemed@gmail.com)
robusta is a statistics package in Python3 providing an interface to
many common statistical analyses, performed using through [R](https://www.r-project.org/)
and [RPY2](https://github.com/rpy2/rpy2).
**PLEASE NOTE** robusta is under active devel... | /robusta_stats-0.0.4.tar.gz/robusta_stats-0.0.4/README.md | 0.536556 | 0.98045 | README.md | pypi |
import typing
import warnings
import numpy as np
import pandas as pd
from . import results
from .. import pyr
from ..misc import base
__all__ = ['ChiSquare', 'Correlation', 'PartCorrelation',
'PartialCorrelation', 'BayesCorrelation']
CORRELATION_METHODS = ('pearson', 'spearman', 'kendall')
DEFAULT_CORREL... | /robusta_stats-0.0.4.tar.gz/robusta_stats-0.0.4/robusta/correlations/models.py | 0.596903 | 0.519034 | models.py | pypi |
import abc
from .. import pyr
from ..misc import utils
class BaseModel(metaclass=abc.ABCMeta):
def __init__(self, **kwargs):
pass
# self.reset(**kwargs)
def reset(self, **kwargs):
"""
This function can be used by the user to re-set all parameters of the
model.
... | /robusta_stats-0.0.4.tar.gz/robusta_stats-0.0.4/robusta/misc/base.py | 0.722331 | 0.17172 | base.py | pypi |
import numpy as np
import pandas as pd
import rpy2
from .. import pyr
from ..misc import utils
import rpy2.robjects as ro
def load_dataset(dataset_name, package_name=None):
"""Returns either a dataset (if `dataset_name` is specified)
or information on available datasets (if `dataset_name` is `None`).
... | /robusta_stats-0.0.4.tar.gz/robusta_stats-0.0.4/robusta/misc/datasets.py | 0.471953 | 0.528838 | datasets.py | pypi |
import numpy as np
from sklearn.linear_model._base import LinearModel
from sklearn.linear_model import LinearRegression, Lasso
from sklearn.preprocessing import StandardScaler
# https://gist.github.com/agramfort/2351057
__all__ = ['NNGRegressor']
def non_negative_garotte(X, y, alpha, tol=1e-6, max_iter=1000):
... | /robusta-0.0.1.tar.gz/robusta-0.0.1/linear_model/nng.py | 0.881997 | 0.707582 | nng.py | pypi |
import pandas as pd
import numpy as np
from sklearn.base import ClassifierMixin, RegressorMixin
from sklearn.linear_model._base import LinearModel
from sklearn.metrics import get_scorer
from sklearn.base import ClassifierMixin, RegressorMixin
from sklearn.linear_model._base import LinearModel
from sklearn.metrics imp... | /robusta-0.0.1.tar.gz/robusta-0.0.1/linear_model/caruana.py | 0.868799 | 0.448245 | caruana.py | pypi |
import pandas as pd
import numpy as np
from sklearn.base import ClassifierMixin, RegressorMixin
from sklearn.linear_model._base import LinearModel
from sklearn.metrics import get_scorer
from scipy.optimize import minimize
from robusta.preprocessing import QuantileTransformer
from robusta.pipeline import make_pipelin... | /robusta-0.0.1.tar.gz/robusta-0.0.1/linear_model/blend.py | 0.850608 | 0.435241 | blend.py | pypi |
from sklearn.model_selection import ParameterSampler, ParameterGrid
from sklearn.base import BaseEstimator, clone
import optuna, hyperopt
import scipy
from time import time
from collections.abc import Iterable
from numbers import Number
import pandas as pd
import numpy as np
from ._verbose import _print_last
from ... | /robusta-0.0.1.tar.gz/robusta-0.0.1/optimizer/base.py | 0.813275 | 0.469095 | base.py | pypi |
import pandas as pd
import numpy as np
from sklearn.base import BaseEstimator, RegressorMixin, clone
from robusta.importance import get_importance
__all__ = ['TransformedTargetRegressor']
class TransformedTargetRegressor(BaseEstimator, RegressorMixin):
"""Meta-estimator to regress on a transformed target.
... | /robusta-0.0.1.tar.gz/robusta-0.0.1/pipeline/_target.py | 0.898805 | 0.695168 | _target.py | pypi |
import pandas as pd
import numpy as np
from joblib import Parallel, delayed
from sklearn.utils.metaestimators import _BaseComposition
from sklearn.base import TransformerMixin, clone
from sklearn.pipeline import _name_estimators
__all__ = ['FeatureUnion', 'make_union']
class FeatureUnion(_BaseComposition, Trans... | /robusta-0.0.1.tar.gz/robusta-0.0.1/pipeline/_feature_union.py | 0.873309 | 0.499146 | _feature_union.py | pypi |
import pandas as pd
import numpy as np
from sklearn.utils.metaestimators import _BaseComposition
from sklearn.base import TransformerMixin, clone
from sklearn.pipeline import _name_estimators
from ..preprocessing import Identity, ColumnSelector
__all__ = ['ColumnTransformer', 'make_column_transformer']
class C... | /robusta-0.0.1.tar.gz/robusta-0.0.1/pipeline/_column_transformer.py | 0.886807 | 0.496399 | _column_transformer.py | pypi |
import pandas as pd
import numpy as np
from sklearn.model_selection import check_cv
from sklearn.exceptions import NotFittedError
from sklearn.base import clone, is_classifier
from robusta.importance import get_importance
from robusta.crossval import crossval
from .base import _Selector
# Original: sklearn.feature_... | /robusta-0.0.1.tar.gz/robusta-0.0.1/selector/from_model.py | 0.811116 | 0.509947 | from_model.py | pypi |
import pandas as pd
import numpy as np
from sklearn.utils.random import check_random_state
from sklearn.exceptions import NotFittedError
from robusta.utils import logmsg
from .base import _WrappedSelector, _WrappedGroupSelector, _check_k_features
class GreedSelector(_WrappedSelector):
'''Greed Forward/Backwa... | /robusta-0.0.1.tar.gz/robusta-0.0.1/selector/greed.py | 0.513912 | 0.417925 | greed.py | pypi |
import pandas as pd
import numpy as np
from sklearn.utils.random import check_random_state
from sklearn.exceptions import NotFittedError
from .base import _WrappedSelector, _WrappedGroupSelector
class RandomSelector(_WrappedSelector):
'''Random feature selector for sampling and evaluating randomly choosen
... | /robusta-0.0.1.tar.gz/robusta-0.0.1/selector/random.py | 0.746786 | 0.640017 | random.py | pypi |
import numpy as np
import pandas as pd
from sklearn.utils.random import check_random_state
from deap import creator, base, tools, algorithms
from robusta.utils import logmsg, get_ranks, secfmt
from .base import _WrappedGroupSelector, _WrappedSelector
from ._plot import _plot_progress, _plot_subset
__all__ = ['Gene... | /robusta-0.0.1.tar.gz/robusta-0.0.1/selector/genetic.py | 0.496582 | 0.400515 | genetic.py | pypi |
from sklearn.utils.random import check_random_state
from copy import copy
import pandas as pd
import numpy as np
class FeatureSubset:
def __init__(self, features, subset=None, mask=None, group=False):
# Features
msg = '<features> must be unique'
assert len(set(features)) == len(feature... | /robusta-0.0.1.tar.gz/robusta-0.0.1/selector/_subset.py | 0.5144 | 0.498047 | _subset.py | pypi |
import pandas as pd
import numpy as np
from sklearn.exceptions import NotFittedError
from robusta.utils import all_subsets
from .base import _WrappedSelector, _WrappedGroupSelector
class ExhaustiveSelector(_WrappedSelector):
'''Exhaustive feature selector for sampling and evaluating all possible
feature su... | /robusta-0.0.1.tar.gz/robusta-0.0.1/selector/exhaustive.py | 0.720958 | 0.558688 | exhaustive.py | pypi |
import pandas as pd
import numpy as np
from time import time
from sklearn.utils.random import check_random_state
from sklearn.model_selection import check_cv
from sklearn.exceptions import NotFittedError
from sklearn.base import clone, is_classifier
from .base import _WrappedSelector, _WrappedGroupSelector
from ..i... | /robusta-0.0.1.tar.gz/robusta-0.0.1/selector/rfe.py | 0.755907 | 0.518546 | rfe.py | pypi |
import numpy as np
import pandas as pd
from robusta.selector.base import _WrappedSelector, _WrappedGroupSelector, _check_k_features
from sklearn.utils.random import check_random_state
def perturb_subset(subset, step, random_state=None, drop_attrs=['score']):
rstate = check_random_state(random_state)
update ... | /robusta-0.0.1.tar.gz/robusta-0.0.1/selector/sas.py | 0.464902 | 0.218253 | sas.py | pypi |
import pandas as pd
import numpy as np
import scipy
from itertools import combinations
from sklearn.base import clone, BaseEstimator, TransformerMixin
from sklearn.preprocessing import PowerTransformer, QuantileTransformer
from sklearn.preprocessing import Normalizer, normalize
from dask_ml.preprocessing import Polyn... | /robusta-0.0.1.tar.gz/robusta-0.0.1/preprocessing/numeric.py | 0.807309 | 0.404213 | numeric.py | pypi |
import pandas as pd
import numpy as np
from sklearn.base import BaseEstimator, TransformerMixin
from typing import Iterable
__all__ = [
'TypeSelector',
'TypeConverter',
'ColumnSelector',
'ColumnFilter',
'ColumnRenamer',
'ColumnGrouper',
'SimpleImputer',
'Identity',
'FunctionTransf... | /robusta-0.0.1.tar.gz/robusta-0.0.1/preprocessing/base.py | 0.834744 | 0.500671 | base.py | pypi |
import pandas as pd
import numpy as np
from itertools import combinations
from numpy.linalg import svd
from dask_ml.preprocessing import OneHotEncoder, DummyEncoder, OrdinalEncoder
from sklearn.base import clone, BaseEstimator, TransformerMixin
from sklearn.utils.multiclass import type_of_target
from robusta.utils i... | /robusta-0.0.1.tar.gz/robusta-0.0.1/preprocessing/category.py | 0.840815 | 0.550728 | category.py | pypi |
from sklearn.base import BaseEstimator
import numpy as np
__all__ = [
'_StagedClassifier',
'_StagedRegressor',
'_cat_staged_predict',
'_xgb_staged_predict',
'_lgb_staged_predict',
'_get_scores',
]
class _StagedClassifier(BaseEstimator):
_estimator_type = 'classifier'
def predict_pro... | /robusta-0.0.1.tar.gz/robusta-0.0.1/crossval/_curve.py | 0.805173 | 0.426142 | _curve.py | pypi |
import numpy as np
import pandas as pd
from sklearn.base import clone, BaseEstimator, ClassifierMixin
from sklearn.model_selection import GroupKFold, KFold
from sklearn.exceptions import NotFittedError
from sklearn.utils import check_random_state
from collections import Counter, defaultdict
from itertools import chai... | /robusta-0.0.1.tar.gz/robusta-0.0.1/crossval/schemes.py | 0.752377 | 0.284623 | schemes.py | pypi |
import pandas as pd
import numpy as np
from sklearn.base import BaseEstimator, clone, is_classifier
from sklearn.model_selection import check_cv
from sklearn.metrics import check_scoring
from joblib import Parallel, delayed
import matplotlib.pyplot as plt
from ._curve import *
def plot_learing_curve(result, X, y... | /robusta-0.0.1.tar.gz/robusta-0.0.1/crossval/plot.py | 0.836254 | 0.581155 | plot.py | pypi |
import pandas as pd
import numpy as np
from sklearn.metrics import roc_curve
from collections import defaultdict
from scipy import interp, stats
import matplotlib.pyplot as plt
import seaborn as sns
from .results import check_cvs
__all__ = [
'compare_roc_auc',
'compare_ttest',
]
def compare_ttest(resul... | /robusta-0.0.1.tar.gz/robusta-0.0.1/crossval/compare.py | 0.728362 | 0.692963 | compare.py | pypi |
import pandas as pd
import numpy as np
import gc
from time import time
from sklearn.utils.metaestimators import _safe_split
from sklearn.base import is_classifier, is_regressor
from robusta.importance import get_importance
from scipy.stats import mode
__all__ = [
'_fit_predict',
'_predict',
'_check_avg... | /robusta-0.0.1.tar.gz/robusta-0.0.1/crossval/_predict.py | 0.724091 | 0.534673 | _predict.py | pypi |
import pandas as pd
import numpy as np
from joblib import Parallel, delayed
from datetime import datetime
from time import time
from sklearn.base import clone, is_classifier
from sklearn.model_selection import check_cv
from sklearn.metrics import check_scoring
from sklearn.utils import indexable
from robusta.utils i... | /robusta-0.0.1.tar.gz/robusta-0.0.1/crossval/crossval.py | 0.867092 | 0.550728 | crossval.py | pypi |
from sklearn.utils.random import check_random_state
from sklearn.model_selection import check_cv
from sklearn.metrics import check_scoring
from sklearn.base import (
BaseEstimator,
MetaEstimatorMixin,
clone,
is_classifier,
)
from tqdm import tqdm_notebook as tqdm
from .importance import get_importanc... | /robusta-0.0.1.tar.gz/robusta-0.0.1/importance/shuffle.py | 0.84966 | 0.531392 | shuffle.py | pypi |
import pandas as pd
import numpy as np
from pympler.asizeof import asizeof
from itertools import combinations, chain
def all_subsets(cols, k_range):
return chain(*map(lambda k: combinations(cols, k), k_range))
def get_ranks(arr, normalize=False):
arr = np.array(arr)
ind = np.argsort(arr)
arr[in... | /robusta-0.0.1.tar.gz/robusta-0.0.1/utils/_utils.py | 0.474875 | 0.482185 | _utils.py | pypi |
import os, sys
import tempfile
import weakref
import rpy2.rinterface
rpy2.rinterface.initr()
from . import conversion
class RSlots(object):
""" Attributes of an R object as a Python mapping.
The parent proxy to the underlying R object is held as a
weak reference. The attributes are therefore not protect... | /robustbasePy-1.1.tar.gz/robustbasePy-1.1/lmrob/robjects/robject.py | 0.480235 | 0.282363 | robject.py | pypi |
import os
import warnings
from types import ModuleType
from collections import defaultdict
from warnings import warn
import rpy2.rinterface as rinterface
import rpy2.robjects.lib
from . import conversion
from rpy2.robjects.functions import (SignatureTranslatedFunction,
docstring_pr... | /robustbasePy-1.1.tar.gz/robustbasePy-1.1/lmrob/robjects/packages.py | 0.421314 | 0.269674 | packages.py | pypi |
from rpy2 import rinterface
from warnings import warn
from collections import defaultdict
_packages = rinterface.baseenv['.packages']
_libpaths = rinterface.baseenv['.libPaths']
_find_package = rinterface.baseenv['find.package']
def get_packagepath(package):
""" return the path to an R package installed """
r... | /robustbasePy-1.1.tar.gz/robustbasePy-1.1/lmrob/robjects/packages_utils.py | 0.604632 | 0.412116 | packages_utils.py | pypi |
import sys
from collections import namedtuple
if sys.version_info[0] < 3 or (sys.version_info[0] == 3 and sys.version_info[1] < 4):
from singledispatch import singledispatch
else:
from functools import singledispatch
def overlay_converter(src, target):
"""
:param src: source of additional conversion r... | /robustbasePy-1.1.tar.gz/robustbasePy-1.1/lmrob/robjects/conversion.py | 0.532182 | 0.548976 | conversion.py | pypi |
from .utils import *
from .utils import JDEoptim, _psi_conv_cc, _psi2ipsi, _regularize_Mpsi, _convSS, _Mpsi, _Mwgt
from argparse import Namespace
from six import string_types
class NlrobControl():
"""
Class that contains the parameters options of the lmrob functions
"""
def __init__(self,
... | /robustbasePy-1.1.tar.gz/robustbasePy-1.1/nlrob/nlrob.py | 0.701611 | 0.364806 | nlrob.py | pypi |
from .utils import *
from .utils import JDEoptim, _psi_conv_cc, _psi2ipsi, _regularize_Mpsi, _convSS, _Mpsi, _Mwgt
from argparse import Namespace
from six import string_types
class NlrobControl():
"""
Class that contains the parameters options of the lmrob functions
"""
def __init__(self,
... | /robustbaseTEST-1.0.tar.gz/robustbaseTEST-1.0/nlrob/nlrob.py | 0.701611 | 0.364806 | nlrob.py | pypi |
from time import time
import numpy as np
from scipy.stats import multivariate_normal
class RobustGMM:
"""
A robust EM clustering algorithm for Gaussian Mixture Models
Args:
gamma:
float. Non-negative regularization added to the diagonal of
covariance. This variable is equ... | /robustgmm-1.0.2.tar.gz/robustgmm-1.0.2/src/robustGMM/robustGMM.py | 0.917344 | 0.572036 | robustGMM.py | pypi |
import numpy as np
class Generator_Multivariate_Normal():
"""
Class for generating n-dimensions sample data set with multivariate
normal distribution.
Args:
means: list
covs: list
mix_prob: list
"""
def __init__(self, means, covs, mix_prob):
self.n_components =... | /robustgmm-1.0.2.tar.gz/robustgmm-1.0.2/src/robustGMM/generator.py | 0.845783 | 0.541894 | generator.py | pypi |
# Robust enhancer-gene association prediction using single cell transcriptomes and epigenomes
This repository hosts the package `robustlink`, a tool that integrates single-cell transcriptomes (scRNA-seq) and epigenomes (snATAC-seq and snmC-seq) and identifies robust associations between cis-regulatory elements (enhan... | /robustlink-0.1.4.tar.gz/robustlink-0.1.4/README.md | 0.774157 | 0.982406 | README.md | pypi |
robustness package
==================
Install via ``pip``: ``pip install robustness``
Read the docs: https://robustness.readthedocs.io/en/latest/index.html
``robustness`` is a package we (students in the `MadryLab <http://madry-lab.ml>`_) created
to make training, evaluating, and exploring neural networks flexible an... | /robustness-1.2.post1.tar.gz/robustness-1.2.post1/README.rst | 0.96118 | 0.742562 | README.rst | pypi |
<div align="center">
<img src="docs/logo.png" height=100 alt="RG logo"/>
<h1 style="font-family: 'IBM Plex Sans'">Robustness Gym</h1>
</div>
![GitHub](https://img.shields.io/github/license/robustness-gym/r... | /robustnessgym-0.1.3.tar.gz/robustnessgym-0.1.3/README.md | 0.902748 | 0.984094 | README.md | pypi |
import logging
import os
import warnings
from datetime import datetime
from typing import Callable, List, Union
import matplotlib.patches as mpatches
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
from statsmodels.stats.outliers_influence import variance_inflation_factor
... | /robyn_data_validation-0.0.5.tar.gz/robyn_data_validation-0.0.5/src/robyn_data_validation/data_review.py | 0.758063 | 0.504578 | data_review.py | pypi |
<p align="center"><img alt="Robyn Logo" src="https://user-images.githubusercontent.com/29942790/140995889-5d91dcff-3aa7-4cfb-8a90-2cddf1337dca.png" width="250" /><p>
# Robyn
[](https://twitter.com/robyn_oss)
[
[Full Changelog](https://github.com/sansyrox/robyn/compare/v0.26.1...HEAD)
**Closed issues:**
- Payload reached size limit. [\#463](https://github.com/sansyrox/robyn/issues/463)
- Proposal to rename `params` with `path_params` [\#457](https://... | /robyn-0.30.0.tar.gz/robyn-0.30.0/CHANGELOG.md | 0.736116 | 0.835819 | CHANGELOG.md | pypi |
<img alt="Robyn Logo" src="https://user-images.githubusercontent.com/29942790/140995889-5d91dcff-3aa7-4cfb-8a90-2cddf1337dca.png" width="250" />
# Robyn
[](https://twitter.com/robyn_oss)
[:
""" Compute the partial confusion matrix from the tpr and fpr.
"""
# Arrange the necessary parameters
node_indexes = np.repeat(range(len(thresho... | /roc_aggregator-1.1.2.tar.gz/roc_aggregator-1.1.2/roc_aggregator/__init__.py | 0.900346 | 0.544801 | __init__.py | pypi |
# Reference documentation: ROC-GEN-SYS-NTT-00038-LES
"""
Database model for:
- sbm_log,
- lfr_kcoeff_dump
- bia_sweep_log,
- efecs_events
- event_log
- solohk_param
- process_queue
tables.
"""
from poppy.core.db.non_null_column import NonNullColumn
from poppy.core.db.base import Base
fro... | /roc_dingo-1.3.8-py3-none-any.whl/roc/dingo/models/data.py | 0.773174 | 0.209874 | data.py | pypi |
# Reference documentation
# ROC-GEN-SYS-NTT-00038-LES_Iss01_Rev02(Mission_Database_Description_Document)
"""
Database model for rpw file processing history tables.
"""
from sqlalchemy import ForeignKey, String, Table, Column
from sqlalchemy.orm import relationship
from sqlalchemy.dialects.postgresql import \
BIG... | /roc_dingo-1.3.8-py3-none-any.whl/roc/dingo/models/file.py | 0.583915 | 0.217317 | file.py | pypi |
# Reference documentation: ROC-GEN-SYS-NTT-00038-LES
"""
Database model for tm_log and tc_log tables.
"""
from poppy.core.db.non_null_column import NonNullColumn
from poppy.core.db.base import Base
from sqlalchemy import String, ForeignKey, UniqueConstraint, Index
from sqlalchemy.orm import relationship, validates,... | /roc_dingo-1.3.8-py3-none-any.whl/roc/dingo/models/packet.py | 0.792022 | 0.198025 | packet.py | pypi |
import os
from pathlib import Path
from poppy.core.logger import logger
from poppy.core.task import Task
__all__ = ['MoveProcessedFiles', 'MoveFailedFiles']
from roc.dingo.tools import safe_move
class MoveProcessedFiles(Task):
"""Task to move input list of well processed files in a given target directory."""
... | /roc_dingo-1.3.8-py3-none-any.whl/roc/dingo/tasks/file_handler.py | 0.536556 | 0.160595 | file_handler.py | pypi |
from datetime import datetime, timedelta
from pathlib import Path
import uuid
from sqlalchemy import and_
from poppy.core.logger import logger
from poppy.core.db.connector import Connector
from poppy.core.task import Task
from roc.dingo.constants import PIPELINE_DATABASE, TRYOUTS, TIME_WAIT_SEC, SQL_LIMIT, NAIF_SOLO... | /roc_dingo-1.3.8-py3-none-any.whl/roc/dingo/tasks/update_utc_time.py | 0.599954 | 0.189896 | update_utc_time.py | pypi |
"""Contains dingo tasks to query the pipeline database."""
import json
import os
from sqlalchemy import and_
from roc.dingo.tools import query_db, valid_time
try:
from poppy.core.logger import logger
from poppy.core.db.connector import Connector
from poppy.core.task import Task
from poppy.core.targe... | /roc_dingo-1.3.8-py3-none-any.whl/roc/dingo/tasks/export.py | 0.53437 | 0.162081 | export.py | pypi |
import time
from datetime import datetime, timedelta
import hashlib
import pandas as pd
from sqlalchemy import and_
import xmltodict
from poppy.core.logger import logger
from poppy.core.db.connector import Connector
from poppy.core.task import Task
from poppy.core.target import FileTarget
from sqlalchemy.exc import I... | /roc_dingo-1.3.8-py3-none-any.whl/roc/dingo/tasks/solohk_to_db.py | 0.493653 | 0.163947 | solohk_to_db.py | pypi |
"""Contains dingo tasks to insert EFECS event data into the ROC database."""
import json
import os
from datetime import datetime
import sqlalchemy.exc
import xmltodict
from poppy.core.logger import logger
from poppy.core.db.connector import Connector
from poppy.core.task import Task
from poppy.core.target import Fil... | /roc_dingo-1.3.8-py3-none-any.whl/roc/dingo/tasks/efecs_to_db.py | 0.579043 | 0.160891 | efecs_to_db.py | pypi |
import numpy as np
from scipy import stats
from typing import Union
array_like = Union[list, tuple, np.ndarray]
def log_likelihood(f_obs: Union[float, array_like], p_exp: Union[float, array_like]) -> float:
"""Computes the Log Likelihood
This is the log likelihood function that appears on page 145 of Dunn (... | /roc_face-0.1.1-py3-none-any.whl/roc_face/fit_functions.py | 0.950088 | 0.870377 | fit_functions.py | pypi |
import numpy as np
from numpy.typing import ArrayLike
from prettytable import PrettyTable
import matplotlib.pyplot as plt
from matplotlib.axes import Axes
from scipy import stats
from typing import Union, Optional, List
numeric = Union[int, float, np.number]
array_like = Union[list, tuple, np.ndarray]
def arrays_equa... | /roc_face-0.1.1-py3-none-any.whl/roc_face/utils.py | 0.939927 | 0.705696 | utils.py | pypi |
import numpy as np
from scipy.stats import norm
from typing import Union, Optional
zscore = norm.ppf
def compute_performance(tpr: float, fpr: float, z_intercept: Optional[float]=None, z_slope: Optional[float]=None) -> dict:
performance = {
'TPR': tpr,
'FPR': fpr,
'dprime': d_pri... | /roc_face-0.1.1-py3-none-any.whl/roc_face/measures.py | 0.961615 | 0.798658 | measures.py | pypi |
import numpy as np
from scipy import stats
import matplotlib.pyplot as plt
from typing import Union, Optional
from roc_face.base import _BaseModel
from roc_face.utils import plot_roc, array_like
class HighThreshold(_BaseModel):
"""High Threshold model class. Inherits functionality from _BaseModel class.
S... | /roc_face-0.1.1-py3-none-any.whl/roc_face/models.py | 0.916668 | 0.690037 | models.py | pypi |
from poppy.core.logger import logger
__all__ = ['FilmException',
'MetadataException',
'UnknownPipeline',
'AncReportProdError',
'LoadDataSetError',
'NoData',
'NoEpochFoundError',
'L0ProdFailure',
'L1BiaProdError',
'L1Surv... | /roc_film-1.13.4.tar.gz/roc_film-1.13.4/roc/film/exceptions.py | 0.717408 | 0.166235 | exceptions.py | pypi |
import re
from os import path as osp
from datetime import datetime
from poppy.core.configuration import Configuration
from poppy.core.logger import logger
from poppy.pop.plugins import Plugin
from roc.film.exceptions import UnknownPipeline, InvalidDataVersion
from roc.film.tools import valid_data_version
from roc.fi... | /roc_film-1.13.4.tar.gz/roc_film-1.13.4/roc/film/tools/metadata.py | 0.452778 | 0.172433 | metadata.py | pypi |
import argparse
from datetime import datetime
import logging
import os
from roc.guest.constants import INPUT_DATETIME_STRFTIME
from roc.guest.exceptions import GuestException
__all__ = ['valid_time', 'raise_error', 'valid_single_file', 'valid_data_version']
logger = logging.getLogger(__name__)
def raise_error(messa... | /roc_guest-1.3.0.tar.gz/roc_guest-1.3.0/roc/guest/tools.py | 0.570092 | 0.198045 | tools.py | pypi |
from poppy.core.command import Command
from roc.guest.tools import valid_time, valid_single_file
from roc.guest.constants import SCOS_HEADER_BYTES, IDB_SOURCE
from roc.guest.tasks import \
xml_to_test, txt_to_test, \
test_to_xml, test_to_txt, \
mebdb_to_test, test_to_mebdb, \
raw_to_tmraw, raw_to_tcrep... | /roc_guest-1.3.0.tar.gz/roc_guest-1.3.0/roc/guest/commands.py | 0.720073 | 0.293044 | commands.py | pypi |
# Reference documentation: ROC-GEN-SYS-NTT-00038-LES
"""
Database model for packet_log table.
"""
from poppy.core.db.non_null_column import NonNullColumn
from poppy.core.db.base import Base
from sqlalchemy import String, ForeignKey, UniqueConstraint, Index
from sqlalchemy.orm import relationship, validates, backref... | /roc_guest-1.3.0.tar.gz/roc_guest-1.3.0/roc/guest/models/packet.py | 0.808937 | 0.167423 | packet.py | pypi |
"""GUEST plugin tasks related to RPW L0 file handling."""
import uuid
from datetime import datetime
import sys
import os
from roc.guest.constants import DATA_VERSION, TIME_ISO_STRFORMAT
from roc.guest.tools import valid_data_version
from roc.guest.guest import Test
try:
from poppy.core.logger import logger
... | /roc_guest-1.3.0.tar.gz/roc_guest-1.3.0/roc/guest/tasks/l0.py | 0.411466 | 0.201892 | l0.py | pypi |
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