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 json
from urllib.parse import urlencode
from .field import (ClusterMixin, FctxMixin, FieldsMixin, GeoFilterMixin,
GeoTypeMixin, IntervalMixin, LocaleMixin, MetricsMixin,
PaginationMixin, RangeDateMixin, SortMixin,
StandardParameterMixin, TimezoneMixin)... | /radarly-py-1.0.17.tar.gz/radarly-py-1.0.17/radarly/parameters/__init__.py | 0.715722 | 0.335555 | __init__.py | pypi |
<h1 align="center">RADAR Pipeline</h1>
<p align="center">
<a href="https://github.com/RADAR-base/radarpipeline"><img alt="GitHub branch checks state" src="https://img.shields.io/github/checks-status/RADAR-base/radarpipeline/main"></a>
<a href="https://github.com/RADAR-base/radarpipeline/issues"><img alt="GitHub issues... | /radarpipeline-2.0.1.tar.gz/radarpipeline-2.0.1/README.md | 0.734501 | 0.924005 | README.md | pypi |
class OpenApiException(Exception):
"""The base exception class for all OpenAPIExceptions"""
class ApiTypeError(OpenApiException, TypeError):
def __init__(self, msg, path_to_item=None, valid_classes=None,
key_type=None):
""" Raises an exception for TypeErrors
Args:
... | /radarr_py-0.3.1-py3-none-any.whl/radarr/exceptions.py | 0.769514 | 0.279315 | exceptions.py | pypi |
from __future__ import annotations
from inspect import getfullargspec
import pprint
import re # noqa: F401
import json
from datetime import datetime
from typing import List, Optional, Union
from pydantic import BaseModel
from radarr.models.add_movie_options import AddMovieOptions
from radarr.models.alternative_title_... | /radarr_py-0.3.1-py3-none-any.whl/radarr/models/movie_resource.py | 0.890014 | 0.245362 | movie_resource.py | pypi |
from __future__ import annotations
from inspect import getfullargspec
import pprint
import re # noqa: F401
import json
from typing import Optional
from pydantic import BaseModel
from radarr.models.authentication_type import AuthenticationType
from radarr.models.certificate_validation_type import CertificateValidatio... | /radarr_py-0.3.1-py3-none-any.whl/radarr/models/host_config_resource.py | 0.837055 | 0.2083 | host_config_resource.py | pypi |
from __future__ import annotations
from inspect import getfullargspec
import pprint
import re # noqa: F401
import json
from typing import List, Optional
from pydantic import BaseModel
from radarr.models.field import Field
from radarr.models.import_list_type import ImportListType
from radarr.models.monitor_types impo... | /radarr_py-0.3.1-py3-none-any.whl/radarr/models/import_list_resource.py | 0.909086 | 0.204878 | import_list_resource.py | pypi |
from __future__ import annotations
from inspect import getfullargspec
import pprint
import re # noqa: F401
import json
from datetime import datetime
from typing import Optional
from pydantic import BaseModel
from radarr.models.command import Command
from radarr.models.command_priority import CommandPriority
from rada... | /radarr_py-0.3.1-py3-none-any.whl/radarr/models/command_resource.py | 0.913499 | 0.163746 | command_resource.py | pypi |
from __future__ import annotations
from inspect import getfullargspec
import pprint
import re # noqa: F401
import json
from datetime import datetime
from typing import List, Optional, Union
from pydantic import BaseModel
from radarr.models.alternative_title import AlternativeTitle
from radarr.models.language import L... | /radarr_py-0.3.1-py3-none-any.whl/radarr/models/movie_metadata.py | 0.885328 | 0.213336 | movie_metadata.py | pypi |
from __future__ import annotations
from inspect import getfullargspec
import pprint
import re # noqa: F401
import json
from datetime import datetime
from typing import List, Optional, Union
from pydantic import BaseModel
from radarr.models.custom_format_resource import CustomFormatResource
from radarr.models.download... | /radarr_py-0.3.1-py3-none-any.whl/radarr/models/release_resource.py | 0.88765 | 0.174921 | release_resource.py | pypi |
from __future__ import annotations
from inspect import getfullargspec
import pprint
import re # noqa: F401
import json
from datetime import datetime
from typing import Optional
from pydantic import BaseModel
from radarr.models.authentication_type import AuthenticationType
from radarr.models.database_type import Datab... | /radarr_py-0.3.1-py3-none-any.whl/radarr/models/system_resource.py | 0.824427 | 0.176352 | system_resource.py | pypi |
from __future__ import annotations
from inspect import getfullargspec
import pprint
import re # noqa: F401
import json
from typing import List, Optional
from pydantic import BaseModel
from radarr.models.custom_format_resource import CustomFormatResource
from radarr.models.language import Language
from radarr.models.... | /radarr_py-0.3.1-py3-none-any.whl/radarr/models/manual_import_resource.py | 0.909728 | 0.208038 | manual_import_resource.py | pypi |
from __future__ import annotations
from inspect import getfullargspec
import pprint
import re # noqa: F401
import json
from datetime import datetime
from typing import List, Optional
from pydantic import BaseModel
from radarr.models.custom_format_resource import CustomFormatResource
from radarr.models.language import... | /radarr_py-0.3.1-py3-none-any.whl/radarr/models/movie_file_resource.py | 0.906081 | 0.165222 | movie_file_resource.py | pypi |
from __future__ import annotations
from inspect import getfullargspec
import pprint
import re # noqa: F401
import json
from datetime import datetime
from typing import List, Optional
from pydantic import BaseModel
from radarr.models.custom_format_resource import CustomFormatResource
from radarr.models.download_protoc... | /radarr_py-0.3.1-py3-none-any.whl/radarr/models/blocklist_resource.py | 0.899995 | 0.17962 | blocklist_resource.py | pypi |
from __future__ import annotations
from inspect import getfullargspec
import pprint
import re # noqa: F401
import json
from datetime import datetime
from typing import List, Optional, Union
from pydantic import BaseModel
from radarr.models.custom_format_resource import CustomFormatResource
from radarr.models.download... | /radarr_py-0.3.1-py3-none-any.whl/radarr/models/queue_resource.py | 0.897015 | 0.218774 | queue_resource.py | pypi |
from __future__ import annotations
from inspect import getfullargspec
import pprint
import re # noqa: F401
import json
from datetime import datetime
from typing import Dict, List, Optional
from pydantic import BaseModel
from radarr.models.custom_format_resource import CustomFormatResource
from radarr.models.language ... | /radarr_py-0.3.1-py3-none-any.whl/radarr/models/history_resource.py | 0.916766 | 0.211794 | history_resource.py | pypi |
import numpy as np
import matplotlib.pyplot as plt
import csv
def dat_reader(filename,datasize,csvname):
"""
Parsing data for a .dat file into a CSV file
Combines real and imaginary values from a .dat file into a CSV file.
After combining them together, there are imaginary values.
Bot... | /radarreader-omarimran2000-0.1.2.tar.gz/radarreader-omarimran2000-0.1.2/radarreader/radar.py | 0.54819 | 0.475544 | radar.py | pypi |
from __future__ import division
from scipy.stats import *
import random as R
from pylab import*
import numpy as np
from scipy.integrate import quad
from scipy.interpolate import interp1d
def integrand_debye(t,alpha):
return t/(alpha*(np.exp(t)-1))
def debye(alpha):
return quad(integrand_debye, 0, alpha, args=... | /radarsatlib-1.0.0.linux-x86_64.tar.gz/usr/local/lib/python2.7/dist-packages/copulalib/copulalib.py | 0.436382 | 0.353679 | copulalib.py | pypi |
import os
import matplotlib.pyplot as plt
import pandas as pd
import dask.dataframe as dd
from ..common import log
from ..util.parsers import timestamp_from_string
pd.plotting.register_matplotlib_converters()
def data_plot(ptc, modalities, start, end, freq, ax=None, events=None, event_bounds=None, event_resample=N... | /radarstudy-0.4.2-py3-none-any.whl/radar/plot/data.py | 0.667581 | 0.488527 | data.py | pypi |
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
try:
import cartopy.crs as ccrs
from cartopy.io.img_tiles import Stamen
except ModuleNotFoundError:
raise ImportError(
'Geo plotting requires cartopy\n'
'Installing with conda is the most straightforward approach: \n... | /radarstudy-0.4.2-py3-none-any.whl/radar/plot/geo.py | 0.827096 | 0.531635 | geo.py | pypi |
import numpy as np
import pandas as pd
import seaborn as sns
HOUR = pd.Timedelta('1h')
CMAP = [(1, 1, 1)]
CMAP.extend(sns.color_palette('Set2', 20))
def ptc_number(ptc):
return int(ptc.info['record_id'])
def data_completion_hourly(ddf, start, end, enrolment_date=None):
""" Returns a vector with elements re... | /radarstudy-0.4.2-py3-none-any.whl/radar/plot/completion_plot.py | 0.797123 | 0.456773 | completion_plot.py | pypi |
import pandas as pd
import seaborn as sns
from datetime import datetime
import matplotlib.patches as patches
from ..common import log
from ..util.completion import completion_idx_has_data
def completion_plot(completion, modalities, start, end, freq,
ax=None, cmap=None, x_tick_mult=24, x_tick_fmt="%y-%m-%d %H:%M",... | /radarstudy-0.4.2-py3-none-any.whl/radar/plot/completion.py | 0.508788 | 0.487185 | completion.py | pypi |
from functools import wraps
import numpy as np
import pandas as pd
from . import validators
from ..generic import Registry
CLEANERS = Registry()
def last(x):
""" Returns the last element of a series.
Params:
x (pd.Series)
Returns:
scalar of x.dtype
"""
return x.iloc[-1]
def val... | /radarstudy-0.4.2-py3-none-any.whl/radar/preprocess/clean.py | 0.87724 | 0.364806 | clean.py | pypi |
import numpy as np
import pandas as pd
from .filters import butterworth
from typing import List, Tuple
SEC = pd.Timedelta(1, 's')
def calculate_drift(timeReceived: pd.Series) -> pd.Series:
""" Calculate timedelta between timeRecieved and time.
Parameters
__________
timeReceived: pandas.Series
... | /radarstudy-0.4.2-py3-none-any.whl/radar/preprocess/e4.py | 0.880759 | 0.698561 | e4.py | pypi |
import os
import pyarrow.feather as ft
import pandas as pd
import dask.dataframe as dd
from dask import delayed
from .core import glob_path_for_files
from .generic import create_divisions
def to_feather(df: pd.DataFrame, path: str) -> None:
""" DataFrame to multi-file feather format. Uses the first row
of fir... | /radarstudy-0.4.2-py3-none-any.whl/radar/io/feather.py | 0.608361 | 0.411939 | feather.py | pypi |
from typing import List
from functools import partial
import h5py
import pandas as pd
import dask.array as da
import dask.dataframe as dd
from .core import glob_path_for_files, terminal_folders
from .generic import FakeDatetimeArray
class ImecFile():
def __init__(self, path: str, signals: List[str], offset: int =... | /radarstudy-0.4.2-py3-none-any.whl/radar/io/imec.py | 0.82379 | 0.362489 | imec.py | pypi |
import time
from typing import Callable, Union, Any, List, Tuple
from io import StringIO
from functools import wraps, partial
from itertools import chain
import psycopg2
from psycopg2.extensions import connection as Connection
from psycopg2.pool import AbstractConnectionPool
import pandas as pd
from ..log import log
... | /radarstudy-0.4.2-py3-none-any.whl/radar/io/sql.py | 0.706494 | 0.310616 | sql.py | pypi |
from typing import List
from functools import singledispatch
import zarr as _zarr
import numpy as np
import pandas as pd
import dask.dataframe as dd
import dask.array as da
from dask import delayed
from numcodecs import MsgPack
def get_group(path, group, overwrite):
if group is None:
store = _zarr.Directo... | /radarstudy-0.4.2-py3-none-any.whl/radar/io/zarr.py | 0.567337 | 0.244622 | zarr.py | pypi |
""" Generic IO functions
"""
from typing import List, Union
import os
import numpy as np
import pandas as pd
from ..generic import methdispatch
class FakeDatetimeArray():
""" A fake numpy datetime array
"""
ndim = 1
_index_error = (
'Only integer, slices (`:`), ellipsis (`...`), '
' in... | /radarstudy-0.4.2-py3-none-any.whl/radar/io/generic.py | 0.884888 | 0.449876 | generic.py | pypi |
from typing import Callable, Dict
import dateutil
from datetime import datetime
import numpy as np
import pandas as pd
DT_MULT = int(1e9)
class RadarCsvReader():
def __init__(self, dtypes=None, column_processors=None,
has_array_fields=True, timecols=tuple(),
replace_dots=True):... | /radarstudy-0.4.2-py3-none-any.whl/radar/io/radar.py | 0.744378 | 0.299675 | radar.py | pypi |
import os
from functools import lru_cache
from dask.utils import import_required
from dask.bytes.local import LocalFileSystem as daskLFC
class LocalFileSystem(daskLFC):
""" An extended version of dask's LocalFileSystem
See: dask.bytes.local.LocalFileSystem
"""
def listdir_conditional(self, path=None, ... | /radarstudy-0.4.2-py3-none-any.whl/radar/io/fs.py | 0.75985 | 0.269848 | fs.py | pypi |
import glob
import yaml
import requests
from collections import OrderedDict
from packaging import version
from ..defaults import config
class ProjectSpecs(dict):
"""
A dictionary class to hold all YML specifications relating to a
RADAR project
Parameters
__________
device_specifications : list... | /radarstudy-0.4.2-py3-none-any.whl/radar/util/specifications.py | 0.57093 | 0.227748 | specifications.py | pypi |
import re
import numpy as np
import pandas as pd
from ..common import log
_DEF_COLS = ['key.projectId', 'key.userId', 'key.sourceId',
'value.time', 'value.timeCompleted', 'value.name',
'value.version']
def iterrows(df):
return (row[1] for row in df.iterrows())
def populate(df, definit... | /radarstudy-0.4.2-py3-none-any.whl/radar/util/armt.py | 0.761095 | 0.571109 | armt.py | pypi |
import json
import requests
import numpy as np
import pandas as pd
from functools import lru_cache
from ..defaults import config, protocols
class Object(object):
pass
class Protocol(object):
def __init__(self, json_protocol):
self._json = json_protocol
self.name = self._json['name']
se... | /radarstudy-0.4.2-py3-none-any.whl/radar/util/protocol.py | 0.552057 | 0.250048 | protocol.py | pypi |
from functools import lru_cache
import pandas as pd
import numpy as np
from ....generic import update
INFO = (('study',
['study',
'enrolment_date',
'visit',
'month']),
('study_devices',
['fitbit_serial',
'phone_status',
... | /radarstudy-0.4.2-py3-none-any.whl/radar/util/projects/mdd/parsers.py | 0.675015 | 0.161419 | parsers.py | pypi |
import pandas as pd
import numpy as np
DAY = pd.Timedelta('1D')
class RedcapEpi():
""" A class to parse information from an EPI Redcap CSV extract.
The data dictionary can be found on the radar-base github.
"""
def __init__(self, csv_path, timezone):
"""
Parameters
________... | /radarstudy-0.4.2-py3-none-any.whl/radar/util/projects/epi/parsers.py | 0.732305 | 0.413655 | parsers.py | pypi |
import numpy as np
import torch
import torch.nn.functional as F
from torch.autograd import Variable
class PreRank(torch.nn.Module):
"""
PreRank class is used for preranking entities for a given mention by multiplying entity vectors with
word vectors
"""
def __init__(self, config, embeddings=None)... | /radboud_el-0.0.1-py3-none-any.whl/REL/mulrel_ranker.py | 0.914181 | 0.412648 | mulrel_ranker.py | pypi |
from flair.data import Sentence
from flair.models import SequenceTagger
from segtok.segmenter import split_single
from REL.mention_detection_base import MentionDetectionBase
class MentionDetection(MentionDetectionBase):
"""
Class responsible for mention detection.
"""
def __init__(self, base_url, wi... | /radboud_el-0.0.1-py3-none-any.whl/REL/mention_detection.py | 0.543833 | 0.511717 | mention_detection.py | pypi |
import os
import pickle
class TrainingEvaluationDatasets:
"""
Class responsible for loading training/evaluation datasets for local ED.
Reading dataset from CoNLL dataset, extracted by https://github.com/dalab/deep-ed/
"""
def __init__(self, base_url, wiki_version):
self.person_names ... | /radboud_el-0.0.1-py3-none-any.whl/REL/training_datasets.py | 0.592195 | 0.415195 | training_datasets.py | pypi |
import re
from collections import defaultdict, namedtuple
import numpy as np
from REL.db.generic import GenericLookup
from REL.mention_detection_base import MentionDetectionBase
from REL.ner import NERBase, Span
from REL.utils import preprocess_mention
class Cmns(NERBase, MentionDetectionBase):
def __init__(sel... | /radboud_el-0.0.1-py3-none-any.whl/REL/ner/ngram.py | 0.652906 | 0.292223 | ngram.py | pypi |
[](https://zenodo.org/badge/latestdoi/634282475)
# Radcomp: Radioactive compartment models
Radcomp is a Python package for modelling the movement of radioactive nuclei and their progeny through a system.
Currently only deterministic compartment models are provided.
##... | /radcomp-0.2.0.tar.gz/radcomp-0.2.0/README.md | 0.872877 | 0.990587 | README.md | pypi |
import sys
import dis
from typing import List, Tuple, TypeVar
from types import FunctionType
__VERSION__ = "3.1.0"
_WrappedMethod = TypeVar("_WrappedMethod", bound=FunctionType)
def overrides(method: _WrappedMethod) -> _WrappedMethod:
"""Decorator to indicate that the decorated method overrides a method in
... | /radgraph-0.0.9.tar.gz/radgraph-0.0.9/overrides_/overrides.py | 0.549641 | 0.261487 | overrides.py | pypi |
from __future__ import annotations
from datetime import datetime as Datetime
from typing import Any, Dict, List, Optional, Union, cast
from pystac.catalog import Catalog
from pystac.collection import Collection
from pystac.item import Item
from .. import client
class MLModel(Item):
session_kwargs: Dict[str, A... | /radiant_mlhub-0.5.5.tar.gz/radiant_mlhub-0.5.5/radiant_mlhub/models/ml_model.py | 0.944215 | 0.208642 | ml_model.py | pypi |
from __future__ import annotations
from pathlib import Path
import concurrent.futures
from datetime import datetime
from enum import Enum
from typing import Any, Dict, Iterable, Iterator, List, Optional, Union, Tuple
from ..session import get_session
from .. import client
from . import Collection
from ..client impo... | /radiant_mlhub-0.5.5.tar.gz/radiant_mlhub-0.5.5/radiant_mlhub/models/dataset.py | 0.936597 | 0.33928 | dataset.py | pypi |
from typing import Any, Dict, List, Optional, cast
from ..session import get_session
from requests.exceptions import HTTPError
from ..exceptions import EntityDoesNotExist, MLHubException
def get_model_by_id(model_id: str, *, api_key: Optional[str] = None, profile: Optional[str] = None) -> Dict[str, Any]:
"""Retur... | /radiant_mlhub-0.5.5.tar.gz/radiant_mlhub-0.5.5/radiant_mlhub/client/ml_models.py | 0.934612 | 0.264394 | ml_models.py | pypi |
import itertools as it
from typing import Any, Dict, Iterator, List, Optional, cast
from requests.exceptions import HTTPError
from ..exceptions import EntityDoesNotExist, MLHubException
from ..session import get_session
def list_collections(*, api_key: Optional[str] = None, profile: Optional[str] = None) -> List[Di... | /radiant_mlhub-0.5.5.tar.gz/radiant_mlhub-0.5.5/radiant_mlhub/client/collections.py | 0.924013 | 0.314182 | collections.py | pypi |
import os
import urllib.parse
from concurrent.futures import ThreadPoolExecutor
from functools import partial
from pathlib import Path
from typing import Any, Dict, Iterable, Iterator, List, Optional, Union, cast
from requests.exceptions import HTTPError
from ..exceptions import EntityDoesNotExist, MLHubException
fro... | /radiant_mlhub-0.5.5.tar.gz/radiant_mlhub-0.5.5/radiant_mlhub/client/datasets.py | 0.866909 | 0.280851 | datasets.py | pypi |
from copy import deepcopy
from enum import IntEnum
from struct import pack
from attr import attr, attributes
from rv import ENCODING
from rv.lib.validators import in_range, is_length
from rv.note import ALL_NOTES, NOTECMD, Note
class PatternAppearanceFlags(IntEnum):
no_icon = 0x01
class PatternFlags(IntEnum):... | /radiant-voices-1.0.3.tar.gz/radiant-voices-1.0.3/src/python/rv/pattern.py | 0.740737 | 0.213213 | pattern.py | pypi |
import logging
from enum import Enum
from rv.errors import ControllerValueError, RangeValidationError
log = logging.getLogger(__name__)
class Controller:
"""Defines a type of controller attached to a module.
In Module classes, define controllers in the order they are
enumerated in SunVox, so that they ... | /radiant-voices-1.0.3.tar.gz/radiant-voices-1.0.3/src/python/rv/controller.py | 0.847621 | 0.333585 | controller.py | pypi |
from enum import Enum
from itertools import chain
from rv.chunks import ArrayChunk
from rv.controller import CompactRange, Controller, Range
from rv.errors import MappingError
from rv.modules import Behavior as B
from rv.modules import Module
from rv.modules.base.multictl import BaseMultiCtl
def convert_value(gain, ... | /radiant-voices-1.0.3.tar.gz/radiant-voices-1.0.3/src/python/rv/modules/multictl.py | 0.509276 | 0.185836 | multictl.py | pypi |
import logging
from io import BytesIO
from itertools import chain
from struct import pack, unpack
from typing import List, Optional
from logutils import BraceMessage as _F
from rv.controller import Controller
from rv.modules import Behavior as B
from rv.modules import Module
from rv.modules.base.sampler import BaseSam... | /radiant-voices-1.0.3.tar.gz/radiant-voices-1.0.3/src/python/rv/modules/sampler.py | 0.803019 | 0.280814 | sampler.py | pypi |
import re
from io import BytesIO
from itertools import chain
from string import digits
from struct import pack
import rv
from rv.chunks import ArrayChunk
from rv.controller import Controller, Range
from rv.modules import Behavior as B
from rv.modules import Module
from rv.modules.base.metamodule import BaseMetaModule
... | /radiant-voices-1.0.3.tar.gz/radiant-voices-1.0.3/src/python/rv/modules/metamodule.py | 0.582254 | 0.168104 | metamodule.py | pypi |
from __future__ import annotations
import io
import logging
from collections import defaultdict
from enum import Enum, IntEnum
from struct import pack
from typing import TYPE_CHECKING, Dict, List, Optional, Union
from logutils import BraceMessage as _F
from rv import ENCODING
from rv.cmidmap import ControllerMidiMap
... | /radiant-voices-1.0.3.tar.gz/radiant-voices-1.0.3/src/python/rv/modules/module.py | 0.901358 | 0.180107 | module.py | pypi |
from rv.modules import Behavior as B
from rv.modules import Module
from rv.modules.base.spectravoice import BaseSpectraVoice
class SpectraVoice(BaseSpectraVoice, Module):
chnk = 4
behaviors = {B.receives_notes, B.sends_audio}
def __init__(self, **kwargs):
harmonics = kwargs.pop("harmonics", [])... | /radiant-voices-1.0.3.tar.gz/radiant-voices-1.0.3/src/python/rv/modules/spectravoice.py | 0.778481 | 0.340801 | spectravoice.py | pypi |
from enum import IntEnum
from rv.controller import Controller
from rv.option import Option
class BaseAnalogGenerator:
name = "AnalogGenerator"
mtype = "Analog generator"
mgroup = "Synth"
flags = 73
class Mode(IntEnum):
hq = 0
hq_mono = 1
lq = 2
lq_mono = 3
cl... | /radiant-voices-1.0.3.tar.gz/radiant-voices-1.0.3/src/python/rv/modules/base/analoggenerator.py | 0.626924 | 0.16398 | analoggenerator.py | pypi |
from enum import IntEnum
from rv.controller import Controller
from rv.option import Option
class BaseSampler:
name = "Sampler"
mtype = "Sampler"
mgroup = "Synth"
flags = 33881
class SampleInterpolation(IntEnum):
off = 0
linear = 1
spline = 2
class EnvelopeInterpolati... | /radiant-voices-1.0.3.tar.gz/radiant-voices-1.0.3/src/python/rv/modules/base/sampler.py | 0.669313 | 0.250116 | sampler.py | pypi |
from enum import IntEnum
from rv.chunks import ArrayChunk
from rv.controller import Controller
class BaseSpectraVoice:
name = "SpectraVoice"
mtype = "SpectraVoice"
mgroup = "Synth"
flags = 73
class Mode(IntEnum):
hq = 0
hq_mono = 1
lq = 2
lq_mono = 3
hq_sp... | /radiant-voices-1.0.3.tar.gz/radiant-voices-1.0.3/src/python/rv/modules/base/spectravoice.py | 0.726814 | 0.266322 | spectravoice.py | pypi |
from __future__ import annotations
import logging
from struct import unpack
from logutils import BraceMessage as _F
from rv import ENCODING
from rv.modules import MODULE_CLASSES, Chunk, Module
from rv.modules.metamodule import MetaModule
from rv.modules.output import Output
from rv.readers.reader import Reader, Reade... | /radiant-voices-1.0.3.tar.gz/radiant-voices-1.0.3/src/python/rv/readers/module.py | 0.522689 | 0.283106 | module.py | pypi |
from struct import unpack
from typing import Optional
from rv import ENCODING
from rv.project import Project
from rv.readers.module import ModuleReader
from rv.readers.pattern import PatternCloneReader, PatternReader
from rv.readers.reader import Reader, ReaderFinished
class SunVoxReader(Reader):
object: Optiona... | /radiant-voices-1.0.3.tar.gz/radiant-voices-1.0.3/src/python/rv/readers/sunvox.py | 0.751648 | 0.359477 | sunvox.py | pypi |
SunVox File Format
==================
This document describes the SunVox file format
in a way that is useful to developers of any app
that wants to read/write SunVox files.
Special thanks to Alexander Zolotov for helping complete this document,
and for sharing SunVox and his other creative works with the world.
This... | /radiant-voices-1.0.3.tar.gz/radiant-voices-1.0.3/docs/sunvox-file-format.rst | 0.882592 | 0.68723 | sunvox-file-format.rst | pypi |
# Analytics API
Roadmap:
* Phase 1 (P1): state model. [Done]
* Phase 2 (P2): extended to event models. [Partial]
* Phase 3 (P3): extended to statistical analysis. [not implemented]
## Classes
The API has two classes:
1. Session(): public.
2. Entity(): private.
### Session()
```
session = Session(profiles, de... | /radical.analytics-1.34.0.tar.gz/radical.analytics-1.34.0/API.md | 0.446012 | 0.991178 | API.md | pypi |
Time measurements
=================
It usually is insightful to measure time durations to characterize the
behavior of a system. For example, this characterization allows to make
statements like:
* the system spent 2 seconds on task A
* the system spent more time on task A than on task B
* the system spent 2 mi... | /radical.analytics-1.34.0.tar.gz/radical.analytics-1.34.0/docs/source/metrics.md | 0.477798 | 0.931898 | metrics.md | pypi |
import os
import radical.utils as ru
class Enactor(object):
'''
The Enactor is responsible to execute workflows on resources. The Enactor
takes as input a list of tuples <workflow,resource> and executes the
workflows on their selected resources.
The Enactor offers a set of methods to execute an... | /radical.cm-0.2.1.tar.gz/radical.cm-0.2.1/src/radical/cm/enactor/base.py | 0.54468 | 0.369912 | base.py | pypi |
import os
import radical.utils as ru
class Planner(object):
'''
The planner receives a campaign, a set of resources, and an execution time
estimation for each workflow per resource, and calculates a plan. The plan is
a list of tuples. Each tuple defines at least:
Workflow: A workflow member of th... | /radical.cm-0.2.1.tar.gz/radical.cm-0.2.1/src/radical/cm/planner/base.py | 0.45302 | 0.421314 | base.py | pypi |
import os
from random import randint, seed
from .base import Planner
class RandomPlanner(Planner):
'''
This class implements a campaign planner based on random selection of
resources for workflows. The random selection is happening based on a uniform
distribution between resources.
Constractor p... | /radical.cm-0.2.1.tar.gz/radical.cm-0.2.1/src/radical/cm/planner/random_planner.py | 0.494629 | 0.328018 | random_planner.py | pypi |
from .base import Planner
class HeftPlanner(Planner):
'''
This class implemements a campaign planner based on Heterogeneous Earliest
Finish Time (HEFT) scheduling algorithm.
For reference:
H. Topcuoglu, S. Hariri, and Min-You Wu. Performance-effective and
low-complexity task scheduling for ... | /radical.cm-0.2.1.tar.gz/radical.cm-0.2.1/src/radical/cm/planner/heft_planner.py | 0.566139 | 0.532972 | heft_planner.py | pypi |
from .base import Planner
class L2FFPlanner(Planner):
'''
This class implements a campaign planner based on Largest workflows to
fastest resource first.
Constractor parameters:
campaign: A list of workflows
resources: A list of resources, whose performance is given in operations per second
... | /radical.cm-0.2.1.tar.gz/radical.cm-0.2.1/src/radical/cm/planner/l2ff_planner.py | 0.699254 | 0.440409 | l2ff_planner.py | pypi |
import radical.utils as ru
import numpy as np
from ..entities.core import Core
from ..exceptions import CalcTypeError
class Resource(object):
def __init__(self, num_cores=1, perf_dist='uniform',
dist_mean=10, temporal_var=0, spatial_var=0,
no_uid=False):
# Initialize
... | /radical.cm-0.2.1.tar.gz/radical.cm-0.2.1/src/radical/cm/utils/calculator/api/resource.py | 0.605566 | 0.165998 | resource.py | pypi |
__copyright__ = "Copyright 2017-2018, http://radical.rutgers.edu"
__author__ = "Vivek Balasubramanian <vivek.balasubramanian@rutgers.edu>"
__license__ = "MIT"
# -----------------------------------------------------------------------------
# Possible states
INITIAL = 'DESCRIBED'
SCHEDULING = 'SCHEDULING'
SUSPENDED = '... | /radical.entk-1.36.0.tar.gz/radical.entk-1.36.0/src/radical/entk/states.py | 0.465387 | 0.251211 | states.py | pypi |
from radical.entk import Pipeline, Stage, Task, AppManager
import os
# ------------------------------------------------------------------------------
# Set default verbosity
if os.environ.get('RADICAL_ENTK_VERBOSE') is None:
os.environ['RADICAL_ENTK_REPORT'] = 'True'
def generate_pipeline():
# Create a Pip... | /radical.entk-1.36.0.tar.gz/radical.entk-1.36.0/examples/simple/eop.py | 0.557002 | 0.28914 | eop.py | pypi |
from radical.entk import Pipeline, Stage, Task, AppManager
import os
if os.environ.get('RADICAL_ENTK_VERBOSE') is None:
os.environ['RADICAL_ENTK_REPORT'] = 'True'
# Each task of this example prints the hostname of the node on which it is
# executed. Tagged tasks should print the same hostname.
def get_pipeline(... | /radical.entk-1.36.0.tar.gz/radical.entk-1.36.0/examples/misc/lfs_tagging_dd.py | 0.524151 | 0.29386 | lfs_tagging_dd.py | pypi |
import numpy as np
from FitLNDistQuants import FitLNDistQuants as fitLN
'''
CalcISDists
Fit log-normal distributions to the Bamber and Aspinall (2013) and IPCC AR5 ice sheet
melt estimates.
Parameters:
barates2100 = BA13 ice sheet melt rates in 2100
lastdecadegt = Ice sheet mass loss in giga-tonnes
aris2090 = IPCC A... | /radical.facts-0.2.0.tar.gz/radical.facts-0.2.0/modules/kopp14/icesheets/CalcISDists.py | 0.765155 | 0.75085 | CalcISDists.py | pypi |
import numpy as np
import sys
import pyssht as ssht
''' ReadFingerprint.py
Provides a function that reads in a fingerprint data file and converts the sine/cosine
coefficients to a signal on a lat/lon grid
Parameters:
fname = File name that contains the sine/cosine coefficients for the fingerprint
Return:
f = The fi... | /radical.facts-0.2.0.tar.gz/radical.facts-0.2.0/modules/kopp14/icesheets/ReadFingerprint.py | 0.447943 | 0.685028 | ReadFingerprint.py | pypi |
import numpy as np
import pickle
import sys
import os
import argparse
import time
from netCDF4 import Dataset
from scipy.stats import norm
from scipy.stats import t
''' kopp14_project_oceandynamics.py
This runs the projection stage for the ocean dynamics component of the Kopp14
workflow. The global projections are co... | /radical.facts-0.2.0.tar.gz/radical.facts-0.2.0/modules/kopp14/oceandynamics/kopp14_project_oceandynamics.py | 0.410402 | 0.285092 | kopp14_project_oceandynamics.py | pypi |
import numpy as np
import os
import pickle
import argparse
import re
''' kopp14_fit_oceandynamics.py
This runs the fitting stage for the ocean dynamics component of the Kopp14 workflow.
Parameters:
pipeline_id = Unique identifier for the pipeline running this code
'''
def kopp14_fit_oceandynamics(pipeline_id):
#... | /radical.facts-0.2.0.tar.gz/radical.facts-0.2.0/modules/kopp14/oceandynamics/kopp14_fit_oceandynamics.py | 0.553747 | 0.199522 | kopp14_fit_oceandynamics.py | pypi |
import numpy as np
import os
import re
import glob
import scipy.io
import scipy.sparse
import h5py
import time
''' IncludeDABZOSModels.py
This script parses through a directory of models to determine if the output from each
model should be included in the analysis.
Parameters:
model_dir = Directory of model output.... | /radical.facts-0.2.0.tar.gz/radical.facts-0.2.0/modules/kopp14/oceandynamics/IncludeDABZOSModels.py | 0.573081 | 0.531027 | IncludeDABZOSModels.py | pypi |
import numpy as np
import pickle
import os
import argparse
from IncludeModels import IncludeModels
from SmoothZOSTOGA import SmoothZOSTOGA
from DriftCorr import DriftCorr
''' kopp14_preprocess_thermalexp.py
This script runs the ocean dynamics pre-processing task for the Kopp 2014 workflow.
This task generates the va... | /radical.facts-0.2.0.tar.gz/radical.facts-0.2.0/modules/kopp14/thermalexpansion/kopp14_preprocess_thermalexp.py | 0.448185 | 0.219588 | kopp14_preprocess_thermalexp.py | pypi |
import numpy as np
import pickle
import sys
import os
import argparse
import time
import re
from read_bkgdrate import read_bkgdrate
from netCDF4 import Dataset
''' kopp14_postprocess_thermalexp.py
This script runs the thermal expansion postprocessing task for the Kopp 2014 workflow.
This task generates localized con... | /radical.facts-0.2.0.tar.gz/radical.facts-0.2.0/modules/kopp14/thermalexpansion/kopp14_postprocess_thermalexp.py | 0.435421 | 0.319811 | kopp14_postprocess_thermalexp.py | pypi |
import numpy as np
import os
import pickle
import argparse
''' kopp14_fit_thermalexp.py
This script runs the thermal expansion fitting task for the Kopp 2014 workflow.
There's not much to fit or calibrate. This task basically aggregates the thermal
expansion quantities into a mean and standard deviation (along with... | /radical.facts-0.2.0.tar.gz/radical.facts-0.2.0/modules/kopp14/thermalexpansion/kopp14_fit_thermalexp.py | 0.531453 | 0.290842 | kopp14_fit_thermalexp.py | pypi |
import numpy as np
import pickle
import sys
import os
import argparse
import time
import re
from read_bkgdrate import read_bkgdrate
from netCDF4 import Dataset
''' kopp14_postprocess_landwaterstorage.py
This script runs the thermal expansion postprocessing task for the Kopp 2014 workflow.
This task generates localiz... | /radical.facts-0.2.0.tar.gz/radical.facts-0.2.0/modules/kopp14/landwaterstorage/kopp14_postprocess_landwaterstorage.py | 0.442877 | 0.359336 | kopp14_postprocess_landwaterstorage.py | pypi |
import numpy as np
import numpy.linalg as lin
import os
from covarfuns import *
''' denoise_CSIRO.py
This script denoises the CSIRO data or data read in from the "read_CSIRO.py" script
Parameters:
thetTG = Theta values for the target sites (in this context, global)
thinyrs = Thin the data set to years at this inter... | /radical.facts-0.2.0.tar.gz/radical.facts-0.2.0/modules/kopp14/lib/winavg_CSIRO.py | 0.444324 | 0.57069 | winavg_CSIRO.py | pypi |
import numpy as np
import numpy.linalg as lin
import os
from covarfuns import *
''' denoise_CSIRO.py
This script denoises the CSIRO data or data read in from the "read_CSIRO.py" script
Parameters:
thetTG = Theta values for the target sites (in this context, global)
thinyrs = Thin the data set to years at this inter... | /radical.facts-0.2.0.tar.gz/radical.facts-0.2.0/modules/kopp14/lib/denoise_CSIRO.py | 0.444324 | 0.57069 | denoise_CSIRO.py | pypi |
import numpy as np
import pickle
import os
import argparse
from cholcov import cholcov
''' kopp14_fit_glaciers.py
This script runs the glaciers fitting task for the Kopp 2014 workflow.
This task generates the t-distributions for projecting glacier contributions.
Parameters:
pipeline_id = Unique identifier for the ... | /radical.facts-0.2.0.tar.gz/radical.facts-0.2.0/modules/kopp14/glaciers/kopp14_fit_glaciers.py | 0.510496 | 0.465266 | kopp14_fit_glaciers.py | pypi |
import numpy as np
import sys
import pyssht as ssht
''' ReadFingerprint.py
Provides a function that reads in a fingerprint data file and converts the sine/cosine
coefficients to a signal on a lat/lon grid
Parameters:
fname = File name that contains the sine/cosine coefficients for the fingerprint
Return:
f = The fi... | /radical.facts-0.2.0.tar.gz/radical.facts-0.2.0/modules/kopp14/glaciers/ReadFingerprint.py | 0.447943 | 0.685028 | ReadFingerprint.py | pypi |
import numpy as np
import argparse
import pickle
import os
import re
''' genmod_project_directsample.py
The "genmod - directsample" module ingests a 2-dimensional array that contains
samples of a sea-level change contributor (i.e. ice sheets, glaciers, etc.) as a function
of time. These samples are treated as if the... | /radical.facts-0.2.0.tar.gz/radical.facts-0.2.0/modules/genmod/directsample/genmod_project_directsample.py | 0.500488 | 0.353651 | genmod_project_directsample.py | pypi |
import numpy as np
from FitLNDistQuants import FitLNDistQuants as fitLN
'''
CalcISDists
Fit log-normal distributions to the Bamber and Aspinall (2013) and IPCC AR5 ice sheet
melt estimates.
Parameters:
barates2100 = BA13 ice sheet melt rates in 2100
lastdecadegt = Ice sheet mass loss in giga-tonnes
aris2090 = IPCC A... | /radical.facts-0.2.0.tar.gz/radical.facts-0.2.0/modules/kopp14SROCC/icesheets/CalcISDists.py | 0.765155 | 0.75085 | CalcISDists.py | pypi |
import numpy as np
import sys
import pyssht as ssht
''' ReadFingerprint.py
Provides a function that reads in a fingerprint data file and converts the sine/cosine
coefficients to a signal on a lat/lon grid
Parameters:
fname = File name that contains the sine/cosine coefficients for the fingerprint
Return:
f = The fi... | /radical.facts-0.2.0.tar.gz/radical.facts-0.2.0/modules/kopp14SROCC/icesheets/ReadFingerprint.py | 0.447943 | 0.685028 | ReadFingerprint.py | pypi |
__author__ = "Andre Merzky, Mark Santcroos"
__copyright__ = "Copyright 2015, The SAGA Project"
__license__ = "MIT"
'''This examples shows how to use the rs.Filesystem API
with the Globus Online file adaptor.
If something doesn't work as expected, try to set
SAGA_VERBOSE=3 in your environment before you... | /radical.saga-1.36.0.tar.gz/radical.saga-1.36.0/examples/files/go_file_copy.py | 0.406273 | 0.215908 | go_file_copy.py | pypi |
__author__ = 'RADICAL @ Rutgers'
__copyright__ = 'Copyright 2012-2013, The SAGA Project'
__license__ = 'MIT'
'''
This examples shows how to run groups of jobs using the 'local' file adaptor.
This example uses job containers for simplified and optimized bulk job handling.
Job container can be used to model depe... | /radical.saga-1.36.0.tar.gz/radical.saga-1.36.0/examples/jobs/slurmjobcontainer.py | 0.444083 | 0.393968 | slurmjobcontainer.py | pypi |
Synapse - SYNthetic Application ProfileS and Emulation
======================================================
Goal: emulate an applications runtime behavior as realistically as possible
* emulate the application's execution structure (components and relations)
* consume same amount of resources (CPU, Mem, D... | /radical.synapse-0.70.0.tar.gz/radical.synapse-0.70.0/README.md | 0.46563 | 0.789964 | README.md | pypi |
from base64 import b64encode
import os
import socket
HANDSHAKE = "VERSION\t1\t1\nCPID\t{}\n"
SUPPORTED_MAJOR_VERSION = 1
AUTH_COMMAND = "AUTH\t{id}\tPLAIN\tservice={service}\tresp="
class DovecotAuthException(Exception):
"""DovecotAuth base Exception"""
class UnsupportedVersion(DovecotAuthException):
"""... | /radicale_docecot_auth-0.2.tar.gz/radicale_docecot_auth-0.2/radicale_dovecot_auth/dovecot_auth.py | 0.707203 | 0.277222 | dovecot_auth.py | pypi |
from base64 import b64encode
import os
import socket
HANDSHAKE = "VERSION\t1\t1\nCPID\t{}\n"
SUPPORTED_MAJOR_VERSION = 1
AUTH_COMMAND = "AUTH\t{id}\tPLAIN\tservice={service}\tresp="
class DovecotAuthException(Exception):
"""DovecotAuth base Exception"""
class UnsupportedVersion(DovecotAuthException):
"""... | /radicale_dovecot_auth-0.4.1-py3-none-any.whl/radicale_dovecot_auth/dovecot_auth.py | 0.710528 | 0.274266 | dovecot_auth.py | pypi |
"""Remind, Abook, Taskwarrior Storage backend for Radicale."""
from colorsys import hsv_to_rgb
from os.path import basename, dirname, expanduser, join
from time import gmtime, strftime
from typing import (Iterable, Iterator, Mapping, Optional, Tuple, Union,
overload)
from zoneinfo import ZoneInfo
... | /radicale-remind-0.5.0.tar.gz/radicale-remind-0.5.0/radicale_remind.py | 0.912874 | 0.273896 | radicale_remind.py | pypi |
from radicale.auth import BaseAuth
import requests
import time
from threading import Lock
class CacheEntry:
'''Cache structure for login procedure
'''
def __init__(self, valid, token, username, expiration):
'''
:param valid: True if login was successfull
:type valid: bool
... | /radicale-sirius-plugin-0.3.0.tar.gz/radicale-sirius-plugin-0.3.0/radicale_sirius_plugin/auth.py | 0.594787 | 0.18072 | auth.py | pypi |
<a href="https://explosion.ai"><img src="https://explosion.ai/assets/img/logo.svg" width="125" height="125" align="right" /></a>
# radicli: Radically lightweight command-line interfaces
`radicli` is a small, zero-dependency Python package for creating command line interfaces, built on top of Python's [`argparse`](htt... | /radicli-0.0.25.tar.gz/radicli-0.0.25/README.md | 0.706494 | 0.96225 | README.md | pypi |
import datetime
from sqlalchemy import create_engine, Table, Column, Integer, String, \
MetaData, ForeignKey, DateTime, Text
from sqlalchemy.orm import mapper, sessionmaker
from sqlalchemy.sql import default_comparator
class ServerStorage:
"""
Класс - оболочка для работы с базой данных сервера.
Испол... | /radif_messenger_server-0.3.3.tar.gz/radif_messenger_server-0.3.3/server/server/database.py | 0.42931 | 0.164215 | database.py | pypi |
import base64
import datetime
import time
import threading
import xml.etree.ElementTree as ET
import m3u8
import requests
class AuthError(Exception):
"""認証失敗を知らせる例外クラス
"""
pass
class CannotGetError(Exception):
"""HTTPリクエストに失敗したことを知らせる例外クラス
"""
pass
class NotSelectedError(Exception):
"... | /radiko.py-3.0.8-py3-none-any.whl/radiko/client.py | 0.409457 | 0.176281 | client.py | pypi |
.. _com_beam:
Finding the smallest common beam
================================
radio-beam implements an exact solution for sets of 2 beams and an approximate method---`the Khachiyan algorithm <https://en.wikipedia.org/wiki/Ellipsoid_method>`_---for larger sets. The former case is straightforward to compute as the be... | /radio-beam-0.3.4.tar.gz/radio-beam-0.3.4/docs/commonbeam.rst | 0.975554 | 0.919426 | commonbeam.rst | pypi |
Radio Beam
==========
radio-beam provides a tools for manipulating and utilizing two-dimensional Gaussian beams
within the `astropy <http://www.astropy.org>`__ framework. It is primarily built for handling
radio astronomy data and is integrated into the `spectral-cube <https://spectral-cube.readthedocs.io>_`
package, ... | /radio-beam-0.3.4.tar.gz/radio-beam-0.3.4/docs/index.rst | 0.961615 | 0.896433 | index.rst | pypi |
import importlib
class Tuner:
def __init__(self, bands, osize, cuda=False):
# Import Dynamic Modules
self.load_modules(cuda)
# Variables to Self
self.bands = bands
self.fft_size = -1
# List Bands Boundaries
los = self.xp.array([(b['freq'] - (b['bw']/2)) fo... | /radio-core-0.2.2.tar.gz/radio-core-0.2.2/radio/tools/tuner/__init__.py | 0.525369 | 0.262139 | __init__.py | pypi |
import collections
import importlib
from radio.tools.pll import PLL
from radio.tools.helpers import lfilter, filtfilt
class WBFM:
def __init__(self, tau, ifs, ofs, cuda=False):
# Import Dynamic Modules
self.load_modules(cuda)
# Variables to Self
self.tau = tau
self.ifs =... | /radio-core-0.2.2.tar.gz/radio-core-0.2.2/radio/analog/wbfm.py | 0.491456 | 0.379838 | wbfm.py | pypi |
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