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 urllib.parse import quote_plus
from requests.status_codes import codes
from rucio.client.baseclient import BaseClient
from rucio.client.baseclient import choice
from rucio.common.utils import build_url, render_json
class LockClient(BaseClient):
"""Lock client class for working with rucio locks"""
LO... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/client/lockclient.py | 0.665411 | 0.173919 | lockclient.py | pypi |
from json import dumps
from requests.status_codes import codes
from rucio.client.baseclient import BaseClient
from rucio.client.baseclient import choice
from rucio.common.utils import build_url
class SubscriptionClient(BaseClient):
"""SubscriptionClient class for working with subscriptions"""
SUB_BASEURL... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/client/subscriptionclient.py | 0.680666 | 0.172799 | subscriptionclient.py | pypi |
from json import dumps
from requests.status_codes import codes
from rucio.client.baseclient import BaseClient
from rucio.client.baseclient import choice
from rucio.common.utils import build_url
class ConfigClient(BaseClient):
"""Client class for working with the configuration"""
CONFIG_BASEURL = 'config'... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/client/configclient.py | 0.559771 | 0.151592 | configclient.py | pypi |
from json import dumps
from urllib.parse import quote_plus
from requests.status_codes import codes
from rucio.client.baseclient import BaseClient
from rucio.client.baseclient import choice
from rucio.common.utils import build_url
class AccountLimitClient(BaseClient):
"""Account limit client class for working ... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/client/accountlimitclient.py | 0.758958 | 0.23845 | accountlimitclient.py | pypi |
from json import dumps, loads
from urllib.parse import quote_plus
from requests.status_codes import codes
from rucio.client.baseclient import BaseClient
from rucio.client.baseclient import choice
from rucio.common.utils import build_url
class MetaClient(BaseClient):
"""Meta client class for working with data ... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/client/metaclient.py | 0.608478 | 0.213316 | metaclient.py | pypi |
from json import dumps, loads
from typing import Any, Optional, Union
from urllib.parse import quote_plus
from requests.status_codes import codes
from rucio.client.baseclient import BaseClient
from rucio.client.baseclient import choice
from rucio.common.utils import build_url
class RuleClient(BaseClient):
"""... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/client/ruleclient.py | 0.763043 | 0.191857 | ruleclient.py | pypi |
import copy
import logging
import random
from time import sleep
from urllib.parse import urlparse
from rucio.common import exception, utils, constants
from rucio.common.config import config_get_int
from rucio.common.constraints import STRING_TYPES
from rucio.common.logging import formatted_logger
from rucio.common.ut... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/rse/rsemanager.py | 0.747984 | 0.162579 | rsemanager.py | pypi |
import errno
import os
from rucio.common.exception import FileAlreadyExists, ServiceUnavailable, SourceNotFound
from rucio.rse.protocols import protocol
try:
import arc # pylint: disable=import-error
except:
pass
class DataPoint:
'''
Wrapper around arc.datapoint_from_url() which does not clean up ... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/rse/protocols/ngarc.py | 0.601711 | 0.201931 | ngarc.py | pypi |
import logging
import os
import os.path
import shutil
from subprocess import call
from rucio.common import exception
from rucio.common.utils import adler32
from rucio.rse.protocols import protocol
class Default(protocol.RSEProtocol):
""" Implementing access to RSEs using the local filesystem."""
def exists... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/rse/protocols/posix.py | 0.642881 | 0.269948 | posix.py | pypi |
from rucio.common import exception
from rucio.rse.protocols import protocol
class Default(protocol.RSEProtocol):
""" Implementing access to RSEs using the local filesystem."""
def __init__(self, protocol_attr, rse_settings, logger=None):
""" Initializes the object with information about the referred... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/rse/protocols/mock.py | 0.901733 | 0.400339 | mock.py | pypi |
import json
import os
import requests
from rucio.common import exception
from rucio.rse.protocols import protocol
class Default(protocol.RSEProtocol):
""" Implementing access to RSEs using gsiftp."""
def __init__(self, protocol_attr, rse_settings, logger=None):
""" Initializes the object with info... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/rse/protocols/gsiftp.py | 0.557604 | 0.169715 | gsiftp.py | pypi |
import os
from os.path import dirname
from urllib.parse import urlparse
from rucio.common import exception
from rucio.common.utils import execute
from rucio.rse.protocols import protocol
class Default(protocol.RSEProtocol):
""" Implementing access to RSEs using the RFIO protocol. """
def connect(self, crede... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/rse/protocols/rfio.py | 0.644449 | 0.326862 | rfio.py | pypi |
from rucio.rse.protocols import protocol
class Default(protocol.RSEProtocol):
""" Implementing access to RSEs using the local filesystem."""
def __init__(self, protocol_attr, rse_settings, logger=None):
""" Initializes the object with information about the referred RSE.
:param props: Pr... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/rse/protocols/cache.py | 0.900269 | 0.424173 | cache.py | pypi |
import logging
import os
from rucio.common import exception
from rucio.common.utils import execute, PREFERRED_CHECKSUM
from rucio.rse.protocols import protocol
class Default(protocol.RSEProtocol):
""" Implementing access to RSEs using the XRootD protocol using GSI authentication."""
def __init__(self, prot... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/rse/protocols/xrootd.py | 0.70253 | 0.207857 | xrootd.py | pypi |
from rucio.rse.protocols import ngarc
class Default(ngarc.Default):
""" Implementing access to RSEs using the ngarc protocol."""
def __init__(self, protocol_attr, rse_settings, logger=None):
""" Initializes the object with information about the referred RSE.
:param props: Properties de... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/rse/protocols/http_cache.py | 0.892152 | 0.375105 | http_cache.py | pypi |
from rucio.rse.protocols import protocol
class Default(protocol.RSEProtocol):
""" Implementing access to RSEs using the local filesystem."""
def __init__(self, protocol_attr, rse_settings, logger=None):
""" Initializes the object with information about the referred RSE.
:param props: Pr... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/rse/protocols/dummy.py | 0.912966 | 0.411643 | dummy.py | pypi |
import hashlib
import logging
from configparser import NoOptionError, NoSectionError
from urllib.parse import urlparse
from rucio.common import config, exception
from rucio.common.utils import register_policy_package_algorithms
from rucio.rse import rsemanager
if getattr(rsemanager, 'CLIENT_MODE', None):
from ruc... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/rse/protocols/protocol.py | 0.768646 | 0.179064 | protocol.py | pypi |
import logging
import os
import re
from rucio.common import exception
from rucio.common.utils import execute, PREFERRED_CHECKSUM
from rucio.rse.protocols import protocol
class Default(protocol.RSEProtocol):
""" Implementing access to RSEs using the SSH protocol."""
def __init__(self, protocol_attr, rse_set... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/rse/protocols/ssh.py | 0.70619 | 0.175644 | ssh.py | pypi |
import enum
from collections import namedtuple
from rucio.common.config import config_get_bool
"""
Constants.
"""
RESERVED_KEYS = ['scope', 'name', 'account', 'did_type', 'is_open', 'monotonic', 'obsolete', 'complete',
'availability', 'suppressed', 'bytes', 'length', 'md5', 'adler32', 'rule_evalua... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/common/constants.py | 0.468547 | 0.244211 | constants.py | pypi |
import configparser
import json
import os
from collections.abc import Callable
from typing import TYPE_CHECKING, overload, Optional, TypeVar, Union
from rucio.common import exception
from rucio.common.exception import ConfigNotFound, DatabaseException
_T = TypeVar('_T')
_U = TypeVar('_U')
if TYPE_CHECKING:
from ... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/common/config.py | 0.78345 | 0.186206 | config.py | pypi |
from rucio.common.exception import DIDError
class DID(object):
"""
Class used to store a DID
Given an object did of type DID
scope is stored in did.scope
name is stored in did.name
"""
SCOPE_SEPARATOR = ':'
IMPLICIT_SCOPE_SEPARATOR = '.'
IMPLICIT_SCOPE_TO_LEN = {'user': 2, 'group... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/common/didtype.py | 0.66628 | 0.166845 | didtype.py | pypi |
from jsonschema import validate, ValidationError
from rucio.common.exception import InvalidObject
ACCOUNT_LENGTH = 25
ACCOUNT = {"description": "Account name",
"type": "string",
"pattern": "^[a-z0-9-_]{1,%s}$" % ACCOUNT_LENGTH}
ACCOUNTS = {"description": "Array of accounts",
"type... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/common/schema/domatpc.py | 0.457379 | 0.373076 | domatpc.py | pypi |
from jsonschema import validate, ValidationError
from rucio.common.exception import InvalidObject
ACCOUNT_LENGTH = 29
ACCOUNT = {"description": "Account name",
"type": "string",
"pattern": "^[a-z0-9-_]{1,%s}$" % (ACCOUNT_LENGTH - 4)}
ACCOUNTS = {"description": "Array of accounts",
... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/common/schema/generic_multi_vo.py | 0.475118 | 0.385404 | generic_multi_vo.py | pypi |
from jsonschema import validate, ValidationError
from rucio.common.exception import InvalidObject
ACCOUNT_LENGTH = 25
ACCOUNT = {"description": "Account name",
"type": "string",
"pattern": "^[a-z0-9-_]{1,%s}$" % ACCOUNT_LENGTH}
ACCOUNTS = {"description": "Array of accounts",
"type... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/common/schema/atlas.py | 0.453746 | 0.373904 | atlas.py | pypi |
from jsonschema import validate, ValidationError
from rucio.common.exception import InvalidObject
ACCOUNT_LENGTH = 25
ACCOUNT = {"description": "Account name",
"type": "string",
"pattern": "^[a-zA-Z0-9-_]{1,%s}$" % ACCOUNT_LENGTH}
ACCOUNTS = {"description": "Array of accounts",
"t... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/common/schema/escape.py | 0.478041 | 0.362743 | escape.py | pypi |
from jsonschema import validate, ValidationError
from rucio.common.exception import InvalidObject
ACCOUNT_LENGTH = 25
ACCOUNT = {"description": "Account name",
"type": "string",
"pattern": "^[a-z0-9-_]{1,%s}$" % ACCOUNT_LENGTH}
ACCOUNTS = {"description": "Array of accounts",
"type... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/common/schema/icecube.py | 0.434461 | 0.372363 | icecube.py | pypi |
from jsonschema import validate, ValidationError
from rucio.common.exception import InvalidObject
ACCOUNT_LENGTH = 25
ACCOUNT = {"description": "Account name",
"type": "string",
"pattern": "^[a-z0-9-_]{1,%s}$" % ACCOUNT_LENGTH}
ACCOUNTS = {"description": "Array of accounts",
"type... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/common/schema/lsst.py | 0.480722 | 0.325762 | lsst.py | pypi |
from jsonschema import validate, ValidationError
from rucio.common.exception import InvalidObject
ACCOUNT_LENGTH = 25
ACCOUNT = {"description": "Account name",
"type": "string",
"pattern": "^[a-z0-9-_]{1,%s}$" % ACCOUNT_LENGTH}
ACCOUNTS = {"description": "Array of accounts",
"type... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/common/schema/generic.py | 0.495606 | 0.387516 | generic.py | pypi |
from jsonschema import validate, ValidationError
from rucio.common.exception import InvalidObject
ACCOUNT_LENGTH = 25
ACCOUNT = {"description": "Account name",
"type": "string",
"pattern": "^[a-z0-9-_]{1,%s}$" % ACCOUNT_LENGTH}
ACCOUNTS = {"description": "Array of accounts",
"type... | /rucio-clients-32.2.0.tar.gz/rucio-clients-32.2.0/lib/rucio/common/schema/belleii.py | 0.461259 | 0.375678 | belleii.py | pypi |
from zlib import adler32
import gzip, glob
from .py3 import to_bytes, PY3
def part(nparts, path):
if nparts <= 1: return 0
if PY3: path = to_bytes(path)
#print("part(", nparts, path,"): adler:", adler32(path))
return adler32(path) % nparts
class _Partition(object):
... | /rucio_consistency-1.6.3-py3-none-any.whl/rucio_consistency/part.py | 0.483405 | 0.202443 | part.py | pypi |
instance_properties = {
"name": {
"type": "string"
},
"display_name": {
"type": "string"
},
"rucio_base_url": {
"type": "string"
},
"rucio_auth_url": {
"type": "string"
},
"rucio_webui_url": {
"type": "string"
},
"rucio_ca_cert": {
... | /rucio_jupyterlab-0.9.8.tar.gz/rucio_jupyterlab-0.9.8/rucio_jupyterlab/config/schema.py | 0.492188 | 0.403332 | schema.py | pypi |
import random
import numpy as np
import matplotlib.pyplot as plt
from ruck import *
class TravelingSalesmanModule(EaModule):
def __init__(self, points, num_individuals: int = 128, closed_path=False):
self.num_individuals = int(num_individuals)
self.points = np.array(points)
self.num_poin... | /ruck-0.2.4.tar.gz/ruck-0.2.4/examples/traveling_salesman.py | 0.644001 | 0.61422 | traveling_salesman.py | pypi |
<div align="center">
<h1 align="center">Ruckig</h1>
<h3 align="center">
Instantaneous Motion Generation for Robots and Machines.
</h3>
</div>
<p align="center">
<a href="https://github.com/pantor/ruckig/actions">
<img src="https://github.com/pantor/ruckig/workflows/CI/badge.svg" alt="CI">
</a>
<a hr... | /ruckig-0.7.1.tar.gz/ruckig-0.7.1/README.md | 0.879884 | 0.963712 | README.md | pypi |
import requests
from datetime import datetime, timedelta
from urllib.parse import urljoin
from .base import SmartZoneBase
class SmartZoneClient(SmartZoneBase):
'''
Documentation: http://docs.ruckuswireless.com/smartzone/5.1.2/vsze-public-api-reference-guide-512.html#api-information
Controller: https://n0... | /ruckus-python-api-0.0.12.tar.gz/ruckus-python-api-0.0.12/src/ruckus_api/smartzone_api.py | 0.563858 | 0.156041 | smartzone_api.py | pypi |
# RuCLIP
Zero-shot image classification model for Russian language
---
**RuCLIP** (**Ru**ssian **C**ontrastive **L**anguage–**I**mage **P**retraining) is a multimodal model
for obtaining images and text similarities and rearranging captions and pictures.
RuCLIP builds on a large body of work on zero-shot transfer, c... | /ruclip-0.0.2.tar.gz/ruclip-0.0.2/README.md | 0.492676 | 0.874507 | README.md | pypi |
import paddle
import numpy as np
class ImagePrompts:
def __init__(self, pil_image, borders, vae, device='cpu', crop_first=False):
"""
Args:
pil_image (PIL.Image): image in PIL format
borders (dict[str] | int): borders that we croped from pil_image
example: ... | /rudalle_paddle-0.0.1rc0-py3-none-any.whl/rudalle_paddle/image_prompts.py | 0.659076 | 0.368264 | image_prompts.py | pypi |
import os
import json
import paddle
import youtokentome as yttm
import paddle.vision.transforms as T
class RuCLIPProcessor:
eos_id = 3
bos_id = 2
unk_id = 1
pad_id = 0
def __init__(self, tokenizer_path, image_size=224, text_seq_length=76, mean=None, std=None):
self.tokenizer = yttm.BPE(t... | /rudalle_paddle-0.0.1rc0-py3-none-any.whl/rudalle_paddle/ruclip/processor.py | 0.599368 | 0.238118 | processor.py | pypi |
import os
import json
import paddle
from clip import CLIP
class CLIPModel(CLIP):
def encode_text(self, text):
x = self.token_embedding(text)
if x.shape[1] != self.context_length:
x = paddle.concat([
x,
paddle.zeros(
[x.shape[0], self... | /rudalle_paddle-0.0.1rc0-py3-none-any.whl/rudalle_paddle/ruclip/model.py | 0.608594 | 0.150684 | model.py | pypi |
import paddle
def _init_mask(text_tokens, image_tokens_per_dim):
attn_size = text_tokens + image_tokens_per_dim**2
mask = paddle.tril(paddle.ones([attn_size, attn_size]))
return mask
def get_row_mask(text_tokens=256, image_tokens_per_dim=32):
mask = _init_mask(text_tokens, image_tokens_per_dim)
... | /rudalle_paddle-0.0.1rc0-py3-none-any.whl/rudalle_paddle/dalle/image_attention.py | 0.52902 | 0.44089 | image_attention.py | pypi |
from math import sqrt, log
import paddle
import paddle.nn as nn
import paddle.nn.functional as F
from paddle import einsum
from einops import rearrange
from taming.modules.diffusionmodules.model import Encoder, Decoder
class VQGanGumbelVAE(paddle.nn.Layer):
def __init__(self, config):
super().__init__()... | /rudalle_paddle-0.0.1rc0-py3-none-any.whl/rudalle_paddle/vae/model.py | 0.883876 | 0.245288 | model.py | pypi |
import numpy as np
def pad_reflect(image, pad_size):
imsize = image.shape
height, width = imsize[:2]
new_img = np.zeros([height + pad_size * 2, width + pad_size * 2, imsize[2]]).astype(np.uint8)
new_img[pad_size:-pad_size, pad_size:-pad_size, :] = image
new_img[0:pad_size, pad_size:-pad_size, :] =... | /rudalle_paddle-0.0.1rc0-py3-none-any.whl/rudalle_paddle/realesrgan/utils.py | 0.702938 | 0.628521 | utils.py | pypi |
import paddle
from paddle import nn as nn
from paddle.nn import functional as F
from .arch_util import default_init_weights, make_layer, pixel_unshuffle
class ResidualDenseBlock(nn.Layer):
"""Residual Dense Block.
Used in RRDB block in ESRGAN.
Args:
num_feat (int): Channel number of intermediate ... | /rudalle_paddle-0.0.1rc0-py3-none-any.whl/rudalle_paddle/realesrgan/rrdbnet_arch.py | 0.884202 | 0.640214 | rrdbnet_arch.py | pypi |
import math
import paddle
from paddle import nn as nn
from paddle.nn import functional as F
from paddle.nn import initializer as init
from paddle.nn.layer.norm import _BatchNormBase
@paddle.no_grad()
def default_init_weights(module_list, scale=1, bias_fill=0, **kwargs):
"""Initialize network weights.
Args:
... | /rudalle_paddle-0.0.1rc0-py3-none-any.whl/rudalle_paddle/realesrgan/arch_util.py | 0.843009 | 0.412944 | arch_util.py | pypi |
import paddle
import numpy as np
from PIL import Image
from .rrdbnet_arch import RRDBNet
from .utils import pad_reflect, split_image_into_overlapping_patches, stich_together, unpad_image
class RealESRGAN:
def __init__(self, device, scale=4):
self.device = device
self.scale = scale
self.m... | /rudalle_paddle-0.0.1rc0-py3-none-any.whl/rudalle_paddle/realesrgan/model.py | 0.708313 | 0.181426 | model.py | pypi |
# ruDALL-E
### Generate images from texts
[](https://www.apache.org/licenses/LICENSE-2.0)
[](https://pepy.tech/project/rudalle)
[
def is_naive(dt):
"""Determines if a given datetime.datetime is naive."""
return dt.tzinfo is None or dt.tzinfo.ut... | /rudder-sdk-python-2.0.2.tar.gz/rudder-sdk-python-2.0.2/rudderstack/analytics/utils.py | 0.771155 | 0.256791 | utils.py | pypi |
import warnings
from rudderstack.analytics.version import VERSION
from rudderstack.analytics.client import Client
import deprecation
__version__ = VERSION
"""Settings."""
write_key = Client.DefaultConfig.write_key
@property
@deprecation.deprecated(deprecated_in="2.0",
current_version=__version... | /rudder-sdk-python-2.0.2.tar.gz/rudder-sdk-python-2.0.2/rudderstack/analytics/__init__.py | 0.740925 | 0.170439 | __init__.py | pypi |
import os
from datetime import datetime
import click
from sagemaker.processing import ProcessingInput, ProcessingOutput
from ..aws.processing import get_sklearn_processor
from ..aws.s3 import download_s3_directory, get_s3_resource, parse_s3_path
from ..config import read_yaml
from ..constants import (
EXCLUDE_... | /rudderlabs.data.apps-0.0.1b3.tar.gz/rudderlabs.data.apps-0.0.1b3/rudderlabs/data/apps/scripts/run_pipeline.py | 0.515864 | 0.189559 | run_pipeline.py | pypi |
import os
import click
import jinja2
from ..constants import SAGEMAKER_CONTAINER_PATH_MAIN
from ..log import get_logger, verbosity_option
from . import rudderlabs
logger = get_logger(__name__)
def render_template(jenv, template, context, output_dir):
"""Renders a template to the output directory using specifi... | /rudderlabs.data.apps-0.0.1b3.tar.gz/rudderlabs.data.apps-0.0.1b3/rudderlabs/data/apps/scripts/new.py | 0.57821 | 0.285658 | new.py | pypi |
"""Compress and decompress a directory."""
import os
import tempfile
import zipfile
from fnmatch import fnmatch
from ..log import get_logger
TEMP_DIR = tempfile.gettempdir()
logger = get_logger(__name__)
def can_exclude(name: str, exclude_list: list) -> bool:
"""Check if the name can be excluded
Args:
... | /rudderlabs.data.apps-0.0.1b3.tar.gz/rudderlabs.data.apps-0.0.1b3/rudderlabs/data/apps/utils/zip.py | 0.698844 | 0.240763 | zip.py | pypi |
import datetime
from typing import List, Optional, Tuple, Union
import pandas as pd
from rudderlabs.data.apps.wh import Connector
from rudderlabs.data.apps.wh.query_utils import get_timestamp_where_condition
class DataIO:
def __init__(self, notebook_config: dict, creds_config: dict) -> None:
self.noteb... | /rudderlabs.data.apps-0.0.1b3.tar.gz/rudderlabs.data.apps-0.0.1b3/rudderlabs/data/apps/templates/data_loader.py | 0.838217 | 0.269482 | data_loader.py | pypi |
"""Functions for interacting with AWS S3."""
import os
from pathlib import Path
from typing import Optional, Tuple
import boto3
import pandas as pd
from ..log import get_logger
from .session import get_boto_session
try:
import StringIO
except ImportError:
from io import StringIO
logger = get_logger(__name... | /rudderlabs.data.apps-0.0.1b3.tar.gz/rudderlabs.data.apps-0.0.1b3/rudderlabs/data/apps/aws/s3.py | 0.850779 | 0.210442 | s3.py | pypi |
from rudi_node_read.connectors.io_connector import Connector, STATUS, REDIRECTION
from rudi_node_read.utils.log import log_d, log_e
from rudi_node_read.utils.type_dict import is_dict
from rudi_node_read.utils.type_string import slash_join
REQ_LIMIT = 500
class RudiNodeConnector(Connector):
def __init__(self, ser... | /rudi-node-read-0.1.5.tar.gz/rudi-node-read-0.1.5/src/rudi_node_read/connectors/io_rudi_node_read.py | 0.411229 | 0.160102 | io_rudi_node_read.py | pypi |
from urllib.parse import quote
from rudi_node_write.utils.log import log_d
from rudi_node_write.utils.typing_utils import get_type_name
def url_encode_req_params(url_str: str) -> str:
"""
Use urllib.parse.quote on every value of a key/value pair in request parameters (RFC 3986, see the documentation
of u... | /rudi-node-write-0.1.1.tar.gz/rudi-node-write-0.1.1/src/rudi_node_write/utils/url_utils.py | 0.502197 | 0.200753 | url_utils.py | pypi |
from re import compile
from typing import Type
def get_type_name(obj) -> str:
return type(obj).__name__
def is_type_name(obj, type_name: str) -> bool:
return get_type_name(obj) == type_name
def is_type(o, target_class: Type | tuple) -> bool:
return isinstance(o, target_class)
def are_same_type(obj, ... | /rudi-node-write-0.1.1.tar.gz/rudi-node-write-0.1.1/src/rudi_node_write/utils/typing_utils.py | 0.748995 | 0.372106 | typing_utils.py | pypi |
from datetime import datetime, timezone, timedelta
from time import time
from rudi_node_write.rudi_types.serializable import Serializable
from rudi_node_write.utils.date_utils import parse_date
from rudi_node_write.utils.str_utils import is_string
class Date(Serializable):
def __init__(self, date_str: str | int)... | /rudi-node-write-0.1.1.tar.gz/rudi-node-write-0.1.1/src/rudi_node_write/utils/type_date.py | 0.727395 | 0.173044 | type_date.py | pypi |
from deepdiff import DeepDiff
from rudi_node_write.utils.typing_utils import get_type_name, check_type
def is_iterable(o) -> bool:
return hasattr(o, "__iter__")
def is_list(o) -> bool:
return isinstance(o, list)
def is_array(o) -> bool:
return isinstance(o, list)
def is_list_or_dict(o) -> bool:
... | /rudi-node-write-0.1.1.tar.gz/rudi-node-write-0.1.1/src/rudi_node_write/utils/list_utils.py | 0.497803 | 0.358521 | list_utils.py | pypi |
from typing import Final, Literal
from rudi_node_write.rudi_types.rudi_const import Language
# Default Language for the descriptions
DEFAULT_LANG: Language = "fr"
# Current version for RUDI Node metadata
RUDI_API_VERSION: Final[str] = "1.3.0"
# Current version for ODS
ODS_API_VERSION: str = "2.1"
# Default contact... | /rudi-node-write-0.1.1.tar.gz/rudi-node-write-0.1.1/src/rudi_node_write/conf/meta_defaults.py | 0.818265 | 0.191554 | meta_defaults.py | pypi |
from re import compile
from typing import Literal, get_args, Final
from rudi_node_write.utils.err import LiteralUnexpectedValueException
from rudi_node_write.utils.str_utils import is_string
# -----[ RUDI version ]-------------------------------------------------------------------------------------------------
# RUD... | /rudi-node-write-0.1.1.tar.gz/rudi-node-write-0.1.1/src/rudi_node_write/rudi_types/rudi_const.py | 0.477798 | 0.291857 | rudi_const.py | pypi |
from uuid import UUID
from rudi_node_write.rudi_types.serializable import Serializable
from rudi_node_write.utils.dict_utils import check_has_key, safe_get_key, check_is_dict
from rudi_node_write.utils.log import log_d
from rudi_node_write.utils.str_utils import check_is_uuid4, uuid4_str
class RudiOrganization(Seria... | /rudi-node-write-0.1.1.tar.gz/rudi-node-write-0.1.1/src/rudi_node_write/rudi_types/rudi_org.py | 0.704465 | 0.228942 | rudi_org.py | pypi |
from rudi_node_write.rudi_types.serializable import Serializable
from rudi_node_write.utils.dict_utils import check_is_dict, check_has_key
from rudi_node_write.utils.log import log_d
from rudi_node_write.utils.str_utils import check_is_string
from rudi_node_write.utils.typing_utils import ensure_is_number, check_type
... | /rudi-node-write-0.1.1.tar.gz/rudi-node-write-0.1.1/src/rudi_node_write/rudi_types/rudi_geo.py | 0.802865 | 0.557243 | rudi_geo.py | pypi |
from abc import ABC
from json import dumps
from deepdiff import DeepDiff
from rudi_node_write.rudi_types.rudi_const import (
FileStorageStatus,
HashAlgorithm,
HASH_ALGORITHMS,
check_is_literal,
FILE_STORAGE_STATUSES,
MEDIA_TYPE_FILE,
MEDIA_TYPE_SERVICE,
MIME_TYPES,
CONNECTOR_PARAMS... | /rudi-node-write-0.1.1.tar.gz/rudi-node-write-0.1.1/src/rudi_node_write/rudi_types/rudi_media.py | 0.565419 | 0.212947 | rudi_media.py | pypi |
export interface ProtocolMessage {
/** Sequence number. */
seq: number;
/** Message type.
Values: 'request', 'response', 'event', etc.
*/
type: string;
}
/** A client or server-initiated request. */
export interface Request extends ProtocolMessage {
// type: 'request';
/** The command to execute. *... | /rueckenwind-0.5.3.tar.gz/rueckenwind-0.5.3/rw/debugger_protocol.py | 0.597843 | 0.202384 | debugger_protocol.py | pypi |
<!-- Begin section: Overview -->
# Ruff
[](https://github.com/charliermarsh/ruff)
[](https://pypi.python.org/pypi/ruff)
[
E = TypeVar("E")
U = TypeVar("U")
F = TypeVar("F")
@dataclass
class Result(Generic[T, E]):
value: Union[T, E]
def is_ok(self) -> bool:
"""
Returns true ... | /rufous_result-0.1.0-py3-none-any.whl/rufous_result/result.py | 0.90243 | 0.588978 | result.py | pypi |
from types import MethodType
from ruia import Spider
from ruia_motor.motor_base import MotorBase
class RuiaMotorInsert:
"""
A Ruia plugin that uses the motor to insert data
"""
def __init__(self, db: str = None, *, collection: str, data: dict):
"""
Define parameters
Motor do... | /ruia_motor-0.0.5-py3-none-any.whl/ruia_motor/__init__.py | 0.846562 | 0.324516 | __init__.py | pypi |
from enum import Enum
from functools import wraps
from ssl import SSLContext
from types import MethodType
from typing import Callable, Dict
from typing import Optional as TOptional
from typing import Sequence, Tuple, Union
from peewee import DoesNotExist, Model, Query
from peewee_async import (
AsyncQueryWrapper,
... | /ruia_peewee_async-1.3.3.tar.gz/ruia_peewee_async-1.3.3/ruia_peewee_async/__init__.py | 0.837952 | 0.192179 | __init__.py | pypi |
import numpy as np
import pandas as pd
from scipy.stats import gamma
from scipy.stats import norm
from scipy.signal import detrend
'''
Scaled distribution mapping for climate data
This is a excerpt from pyCAT and the method after Switanek et al. (2017) containing the functions to perform a relative and absolute bias ... | /ruins_app-0.19.0-py3-none-any.whl/ruins/processing/sdm.py | 0.83825 | 0.702592 | sdm.py | pypi |
import streamlit as st
import pandas as pd
from ruins.core import DataManager
INDICES = dict(
summer='Summer days (Tmax ≥ 25°C)',
ice='Ice days (Tmax < 0°C)',
frost='Frost days (Tmin < 0°C)',
hot='Hot days (Tmax ≥ 30°C)',
tropic='Tropic nights (Tmin ≥ 20°C)',
rainy='Rainy days (Precip ≥ 1mm)'... | /ruins_app-0.19.0-py3-none-any.whl/ruins/processing/climate_indices.py | 0.770637 | 0.593433 | climate_indices.py | pypi |
import streamlit as st
from ruins.core import DataManager, Config
_TRANSLATE_EN = dict(
title='Climate models have scale',
description="""
There are many scientists working in different groups to build and enhance computer models of the climate physics.
These models operate at different scales in space and t... | /ruins_app-0.19.0-py3-none-any.whl/ruins/components/model_scale_select.py | 0.525369 | 0.606586 | model_scale_select.py | pypi |
from typing import Callable, Dict, Union
import os
from os.path import join as pjoin
import json
from collections.abc import Mapping
from ruins.core.i18n import get_translator
from streamlit import session_state
import streamlit as st
# check if streamlit is running
if not st._is_running_with_streamlit:
session_... | /ruins_app-0.19.0-py3-none-any.whl/ruins/core/config.py | 0.555073 | 0.171096 | config.py | pypi |
from typing import Union, Tuple, Dict, List
import os
import shutil
import requests
import io
import zipfile
import streamlit as st
from .config import Config
from .data_manager import DataManager
st.experimental_singleton
def contextualized_data_manager(**kwargs) -> DataManager:
return DataManager(**kwargs)
d... | /ruins_app-0.19.0-py3-none-any.whl/ruins/core/build.py | 0.447702 | 0.248377 | build.py | pypi |
import streamlit as st
import pandas as pd
from ruins.core import build_config, debug_view, DataManager, Config
from ruins.plotting import bubble_plot
_TRANSLATE_EN = dict(
title='Bubble plot',
introduction="""
Bubble plot of RCP scenarios.
"""
)
_TRANSLATE_DE = dict(
title='Bubble plot',
introd... | /ruins_app-0.19.0-py3-none-any.whl/ruins/apps/bubbles.py | 0.471953 | 0.345906 | bubbles.py | pypi |
from typing import Tuple, List
import streamlit as st
import plotly.graph_objects as go
import plotly.express as px
from plotly.express.colors import unlabel_rgb, label_rgb, n_colors, sequential
import numpy as np
from scipy.stats import norm
from ruins.core import Config, build_config, debug_view
from ruins.plotting... | /ruins_app-0.19.0-py3-none-any.whl/ruins/apps/uncertainty.py | 0.836254 | 0.723609 | uncertainty.py | pypi |
import streamlit as st
from ruins.core import build_config, debug_view, Config
from ruins.plotting import plot_extreme_pdf
_TRANSLATE_DE = dict(
title="Temperaturen verschieben sich",
intro="""Dies ist ein langer introtext für dieses Beispiel""",
temp_intro="""
Wähle zuerst die **mittlere Temperatur** von... | /ruins_app-0.19.0-py3-none-any.whl/ruins/apps/temperature_shift.py | 0.539469 | 0.441854 | temperature_shift.py | pypi |
from typing import List
import streamlit as st
import pandas as pd
from ruins.core import build_config, debug_view, Config, DataManager
from ruins.plotting import sunburst
from ruins.processing.sunburst import ordered_sunburst_data
_TRANSLATE_DE = dict(
title='Verwendete Klimamodelle',
intro="""Es gibt eine... | /ruins_app-0.19.0-py3-none-any.whl/ruins/apps/sunburst.py | 0.622459 | 0.364693 | sunburst.py | pypi |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
def yrplot_hm(sr, ref=[1980, 2000], ag='sum', qa=0.95, cbar_title='Temperature anomaly (K)', cmx='coolwarm', cmxeq=True, li=False):
"""
@deprecated - use stripes_heatmap.yrplot_hm instead
"""
# plot of he... | /ruins_app-0.19.0-py3-none-any.whl/ruins/plotting/weather_data.py | 0.466116 | 0.626481 | weather_data.py | pypi |
import plotly.graph_objects as go
from plotly.subplots import make_subplots
import pandas as pd
import numpy as np
def sea_level(tide_data: pd.DataFrame, input_scale: float = 1/1000., knock_level: float = None, fig: go.Figure = None, row: int = 1, col: int = 1) -> go.Figure:
# build a figure, if there is None
... | /ruins_app-0.19.0-py3-none-any.whl/ruins/plotting/floodmodel.py | 0.778733 | 0.451447 | floodmodel.py | pypi |
import numpy as np
import matplotlib.pyplot as plt
def kde(data, cmdata='none', split_ts=1, cplot=True, eq_period=True):
# plot of kde with stripes
from sklearn.neighbors import KernelDensity
cxx = ['#E69F00', '#009E73', '#0072B2', '#D55E00', '#CC79A7']
cxx2 = ['#8c6bb1', '#810f7c']
data = data[~... | /ruins_app-0.19.0-py3-none-any.whl/ruins/plotting/kde.py | 0.62498 | 0.68988 | kde.py | pypi |
import plotly.graph_objects as go
from plotly.subplots import make_subplots
import pandas as pd
DIMENSIONS = {l: dict() for l in ['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December']}
def climate_projection_parcoords(data: pd.DataFrame, fig: go.F... | /ruins_app-0.19.0-py3-none-any.whl/ruins/plotting/climate_parcoords.py | 0.903348 | 0.679684 | climate_parcoords.py | pypi |
import warnings
from itertools import tee
from typing import Union, Callable, Literal, Any, Dict, Optional, Iterable
import torch
import torchmetrics
from torch import nn
def pairwise(iterable):
"""s -> (s0,s1), (s1,s2), (s2, s3), ..."""
a, b = tee(iterable)
next(b, None)
return zip(a, b)
def str2c... | /rul_adapt-0.2.0-py3-none-any.whl/rul_adapt/utils.py | 0.935516 | 0.32532 | utils.py | pypi |
from typing import Tuple, List, Any, Optional, Literal, Dict
import numpy as np
import torch
from rul_datasets.utils import feature_to_tensor
from torch import nn
import rul_adapt
from rul_adapt import utils
from rul_adapt.approach.abstract import AdaptionApproach
from rul_adapt.approach.evaluation import AdaptionEva... | /rul_adapt-0.2.0-py3-none-any.whl/rul_adapt/approach/latent_align.py | 0.975095 | 0.716876 | latent_align.py | pypi |
import inspect
import warnings
from abc import ABCMeta
from typing import Any, Dict, List, Set
import hydra.utils
import pytorch_lightning as pl
from torch import nn
EXCLUDED_ARGS = ["self", "device", "dtype"] # init args ignored when checkpointing
class AdaptionApproach(pl.LightningModule, metaclass=ABCMeta):
... | /rul_adapt-0.2.0-py3-none-any.whl/rul_adapt/approach/abstract.py | 0.911774 | 0.408218 | abstract.py | pypi |
from typing import List, Literal, Any, Dict
import torch
import rul_adapt
from rul_adapt import utils
from rul_adapt.approach.abstract import AdaptionApproach
from rul_adapt.approach.evaluation import AdaptionEvaluator
class MmdApproach(AdaptionApproach):
"""The MMD uses the Maximum Mean Discrepancy to adapt a ... | /rul_adapt-0.2.0-py3-none-any.whl/rul_adapt/approach/mmd.py | 0.965454 | 0.643987 | mmd.py | pypi |
from itertools import product
from queue import Queue
from typing import List, Tuple, Optional
import numpy as np
import pywt # type: ignore
import scipy.stats # type: ignore
from dtaidistance import dtw # type: ignore
from rul_datasets.reader import AbstractReader
from rul_datasets.utils import extract_windows
fro... | /rul_adapt-0.2.0-py3-none-any.whl/rul_adapt/approach/tbigru.py | 0.944016 | 0.657043 | tbigru.py | pypi |
from typing import Any, Optional, Dict, Literal, List
import torch
from torch import nn
import rul_adapt.loss
from rul_adapt import utils
from rul_adapt.approach.abstract import AdaptionApproach
from rul_adapt.approach.evaluation import AdaptionEvaluator
from rul_adapt.model import FullyConnectedHead
class DannAppr... | /rul_adapt-0.2.0-py3-none-any.whl/rul_adapt/approach/dann.py | 0.974215 | 0.598283 | dann.py | pypi |
import copy
from typing import Optional, Any, List, Dict, Literal
import torch
from torch import nn
from rul_adapt import utils
from rul_adapt.approach.abstract import AdaptionApproach
from rul_adapt.approach.evaluation import AdaptionEvaluator
from rul_adapt.model import FullyConnectedHead
class AdaRulApproach(Ada... | /rul_adapt-0.2.0-py3-none-any.whl/rul_adapt/approach/adarul.py | 0.960722 | 0.548553 | adarul.py | pypi |
from typing import Callable, List, Literal, Tuple
import torch
import torchmetrics
from torch import nn
import rul_adapt
class AdaptionEvaluator(nn.Module):
def __init__(
self,
network_func: Callable[[torch.Tensor], torch.Tensor],
log_func: Callable[[str, torchmetrics.Metric], None],
... | /rul_adapt-0.2.0-py3-none-any.whl/rul_adapt/approach/evaluation.py | 0.950801 | 0.395368 | evaluation.py | pypi |
from typing import Tuple, Literal, Any, Dict
import torch
import torchmetrics
from rul_adapt import utils
from rul_adapt.approach.abstract import AdaptionApproach
from rul_adapt.approach.evaluation import filter_batch
class SupervisedApproach(AdaptionApproach):
"""The supervised approach uses either MSE, MAE or... | /rul_adapt-0.2.0-py3-none-any.whl/rul_adapt/approach/supervised.py | 0.970702 | 0.632418 | supervised.py | pypi |
import copy
import math
from itertools import chain
from typing import Optional, Any, List, Tuple, Dict, Literal
import numpy as np
import torch
from torch import nn
import rul_adapt.loss
from rul_adapt import utils
from rul_adapt.approach.abstract import AdaptionApproach
from rul_adapt.approach.evaluation import Ada... | /rul_adapt-0.2.0-py3-none-any.whl/rul_adapt/approach/consistency.py | 0.941352 | 0.467028 | consistency.py | pypi |
from copy import deepcopy
from typing import List, Tuple, Literal, Optional, Any, Dict
import torch
from torch import nn
import rul_adapt
from rul_adapt import utils
from rul_adapt.approach.abstract import AdaptionApproach
from rul_adapt.approach.evaluation import AdaptionEvaluator
from rul_adapt.model import FullyCo... | /rul_adapt-0.2.0-py3-none-any.whl/rul_adapt/approach/conditional.py | 0.971095 | 0.626767 | conditional.py | pypi |
from typing import List
import torch
import torchmetrics
from rul_adapt.loss.utils import calc_pairwise_dot, weighted_mean
class HealthyStateAlignmentLoss(torchmetrics.Metric):
"""
This loss is used to align the healthy state of the data in the latent space.
It computes the mean of the variance of each... | /rul_adapt-0.2.0-py3-none-any.whl/rul_adapt/loss/alignment.py | 0.966961 | 0.987496 | alignment.py | pypi |
from typing import List, Any, Tuple
import torch
import torchmetrics
from torch import nn
from rul_adapt.loss.utils import calc_pairwise_euclidean, weighted_mean
class MaximumMeanDiscrepancyLoss(torchmetrics.Metric):
"""The Maximum Mean Discrepancy Loss (MMD) is a distance measure between two
arbitrary dis... | /rul_adapt-0.2.0-py3-none-any.whl/rul_adapt/loss/adaption.py | 0.977543 | 0.953013 | adaption.py | pypi |
import math
from typing import Any, Literal, Optional
import torch
import torchmetrics
class RULScore(torchmetrics.Metric):
is_differentiable = True
higher_is_better = None
full_state_update = False
loss: torch.Tensor
total: torch.Tensor
def __init__(
self, mode: Literal["phm08", "p... | /rul_adapt-0.2.0-py3-none-any.whl/rul_adapt/loss/rul.py | 0.926633 | 0.437343 | rul.py | pypi |
from typing import List, Tuple, Sequence
import torch
import torchmetrics
from torch import nn
class ConditionalAdaptionLoss(torchmetrics.Metric):
"""The Conditional Adaptions loss is a combination of multiple losses, each of
which is only applied to a subset of the incoming data.
The subsets are defin... | /rul_adapt-0.2.0-py3-none-any.whl/rul_adapt/loss/conditional.py | 0.978052 | 0.842021 | conditional.py | pypi |
from typing import Tuple, Any
import hydra
import omegaconf
import pytorch_lightning as pl
import rul_datasets
from rul_adapt.approach import DannApproach
def get_lstm_dann(
source_fd: int, target_fd: int, **trainer_kwargs: Any
) -> Tuple[rul_datasets.DomainAdaptionDataModule, DannApproach, pl.Trainer]:
"""... | /rul_adapt-0.2.0-py3-none-any.whl/rul_adapt/construct/lstm_dann/functional.py | 0.887656 | 0.793366 | functional.py | pypi |
from typing import Tuple, Any
import hydra
import omegaconf
import pytorch_lightning as pl
import rul_datasets
from rul_adapt.approach import MmdApproach
def get_tbigru(
source_fd: int, target_fd: int, **trainer_kwargs: Any
) -> Tuple[rul_datasets.DomainAdaptionDataModule, MmdApproach, pl.Trainer]:
"""
... | /rul_adapt-0.2.0-py3-none-any.whl/rul_adapt/construct/tbigru/functional.py | 0.847132 | 0.845273 | functional.py | pypi |
from typing import Literal, Tuple, Any, Dict, Optional
import hydra
import omegaconf
import rul_datasets
import pytorch_lightning as pl
from torch import nn
from rul_adapt.approach import ConsistencyApproach, SupervisedApproach
def get_consistency_dann(
dataset: Literal["cmapss", "xjtu-sy"],
source_fd: int,... | /rul_adapt-0.2.0-py3-none-any.whl/rul_adapt/construct/consistency/functional.py | 0.928627 | 0.745815 | functional.py | pypi |
from typing import Tuple, Optional, Dict, Any
import hydra
import omegaconf
import rul_datasets
import pytorch_lightning as pl
from torch import nn
from rul_adapt.approach import SupervisedApproach, AdaRulApproach
def get_adarul(
source_fd: int,
target_fd: int,
pre_trainer_kwargs: Optional[Dict[str, Any... | /rul_adapt-0.2.0-py3-none-any.whl/rul_adapt/construct/adarul/functional.py | 0.926379 | 0.696913 | functional.py | pypi |
from typing import Tuple, Any
import hydra
import omegaconf
import pytorch_lightning as pl
import rul_datasets
import rul_adapt
from rul_adapt.approach import DannApproach
def get_cnn_dann(
source_fd: int, target_fd: int, **trainer_kwargs: Any
) -> Tuple[rul_datasets.DomainAdaptionDataModule, DannApproach, pl.T... | /rul_adapt-0.2.0-py3-none-any.whl/rul_adapt/construct/cnn_dann/functional.py | 0.89913 | 0.790934 | functional.py | pypi |
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