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 typing import List, Type, Union, Optional, Callable, Dict, TYPE_CHECKING
import inspect
from pydantic import ( # noqa
BaseModel, create_model, Field, root_validator, validate_model,
ValidationError, validator)
from typing_extensions import Literal
from rastervision.pipeline import (registry_ as registr... | /rastervision_pipeline-0.21-py3-none-any.whl/rastervision/pipeline/config.py | 0.90676 | 0.375592 | config.py | pypi |
from abc import (ABC, abstractmethod)
from datetime import datetime
from typing import Optional, List
from rastervision.pipeline import registry_ as registry
class NotReadableError(Exception):
"""Exception raised when files are not readable."""
pass
class NotWritableError(Exception):
"""Exception raise... | /rastervision_pipeline-0.21-py3-none-any.whl/rastervision/pipeline/file_system/file_system.py | 0.929424 | 0.283313 | file_system.py | pypi |
from typing import ContextManager
import os
import io
import shutil
import urllib
import urllib.request
from urllib.parse import urlparse
import requests
from datetime import datetime
from functools import partial
from tqdm.auto import tqdm
from rastervision.pipeline.file_system import (FileSystem, NotReadableError,
... | /rastervision_pipeline-0.21-py3-none-any.whl/rastervision/pipeline/file_system/http_file_system.py | 0.765067 | 0.175291 | http_file_system.py | pypi |
from typing import List, Optional
from os.path import join
from rastervision.pipeline.pipeline import Pipeline
from rastervision.pipeline.file_system import str_to_file, file_to_str
from rastervision.pipeline.pipeline_config import PipelineConfig
from rastervision.pipeline.config import register_config, Config
from ra... | /rastervision_pipeline-0.21-py3-none-any.whl/rastervision/pipeline_example_plugin1/sample_pipeline2.py | 0.770076 | 0.185338 | sample_pipeline2.py | pypi |
from typing import TYPE_CHECKING, Iterator, Optional
from os.path import join
import uuid
from rastervision.pipeline.file_system import (make_dir)
from rastervision.pytorch_backend.pytorch_learner_backend import (
PyTorchLearnerSampleWriter, PyTorchLearnerBackend)
from rastervision.pytorch_learner.dataset import (... | /rastervision_pytorch_backend-0.21.tar.gz/rastervision_pytorch_backend-0.21/rastervision/pytorch_backend/pytorch_chip_classification.py | 0.867906 | 0.233881 | pytorch_chip_classification.py | pypi |
from typing import TYPE_CHECKING, Dict, Iterator, Optional
from os.path import join, basename
import uuid
from rastervision.pipeline.file_system import json_to_file
from rastervision.core.data.label import ObjectDetectionLabels
from rastervision.pytorch_backend.pytorch_learner_backend import (
PyTorchLearnerSample... | /rastervision_pytorch_backend-0.21.tar.gz/rastervision_pytorch_backend-0.21/rastervision/pytorch_backend/pytorch_object_detection.py | 0.871734 | 0.292425 | pytorch_object_detection.py | pypi |
from typing import TYPE_CHECKING, Iterator, Optional
from os.path import join
import uuid
import numpy as np
from rastervision.pipeline.file_system.utils import make_dir
from rastervision.pytorch_backend.pytorch_learner_backend import (
PyTorchLearnerSampleWriter, PyTorchLearnerBackend)
from rastervision.pytorch_... | /rastervision_pytorch_backend-0.21.tar.gz/rastervision_pytorch_backend-0.21/rastervision/pytorch_backend/pytorch_semantic_segmentation.py | 0.876476 | 0.274503 | pytorch_semantic_segmentation.py | pypi |
from rastervision.pipeline.config import register_config
from rastervision.pytorch_backend.pytorch_learner_backend_config import (
PyTorchLearnerBackendConfig)
from rastervision.pytorch_learner.learner_config import default_augmentors
from rastervision.pytorch_learner.object_detection_learner_config import (
Ob... | /rastervision_pytorch_backend-0.21.tar.gz/rastervision_pytorch_backend-0.21/rastervision/pytorch_backend/pytorch_object_detection_config.py | 0.610221 | 0.205795 | pytorch_object_detection_config.py | pypi |
from rastervision.pipeline.config import register_config
from rastervision.pytorch_backend.pytorch_learner_backend_config import (
PyTorchLearnerBackendConfig)
from rastervision.pytorch_learner.learner_config import default_augmentors
from rastervision.pytorch_learner.classification_learner_config import (
Clas... | /rastervision_pytorch_backend-0.21.tar.gz/rastervision_pytorch_backend-0.21/rastervision/pytorch_backend/pytorch_chip_classification_config.py | 0.646906 | 0.202621 | pytorch_chip_classification_config.py | pypi |
from typing import Optional, List
import logging
from rastervision.pipeline.config import (register_config, Field)
from rastervision.pipeline.file_system import get_tmp_dir
from rastervision.core.backend import BackendConfig
from rastervision.core.rv_pipeline import RVPipelineConfig
from rastervision.pytorch_learner.l... | /rastervision_pytorch_backend-0.21.tar.gz/rastervision_pytorch_backend-0.21/rastervision/pytorch_backend/pytorch_learner_backend_config.py | 0.829043 | 0.203213 | pytorch_learner_backend_config.py | pypi |
from rastervision.pipeline.config import register_config
from rastervision.pytorch_backend.pytorch_learner_backend_config import (
PyTorchLearnerBackendConfig)
from rastervision.pytorch_learner.learner_config import default_augmentors
from rastervision.pytorch_learner.semantic_segmentation_learner_config import (
... | /rastervision_pytorch_backend-0.21.tar.gz/rastervision_pytorch_backend-0.21/rastervision/pytorch_backend/pytorch_semantic_segmentation_config.py | 0.63624 | 0.209389 | pytorch_semantic_segmentation_config.py | pypi |
from typing import TYPE_CHECKING, Optional
from os.path import join, splitext
import tempfile
import numpy as np
from rastervision.pipeline.file_system import (make_dir, upload_or_copy,
zipdir)
from rastervision.core.backend import Backend, SampleWriter
from rastervision... | /rastervision_pytorch_backend-0.21.tar.gz/rastervision_pytorch_backend-0.21/rastervision/pytorch_backend/pytorch_learner_backend.py | 0.867471 | 0.288319 | pytorch_learner_backend.py | pypi |
from typing import TYPE_CHECKING, Optional
import os
import csv
from io import StringIO
from rastervision.core.data import (RasterioSource, GeoJSONVectorSource,
ClassInferenceTransformer)
from rastervision.core.data.utils import geoms_to_geojson, crop_geotiff
from rastervision.pipel... | /rastervision_pytorch_backend-0.21.tar.gz/rastervision_pytorch_backend-0.21/rastervision/pytorch_backend/examples/utils.py | 0.836488 | 0.313696 | utils.py | pypi |
from typing import Optional
import re
import random
import os
from abc import abstractmethod
from rastervision.pipeline.file_system import list_paths
from rastervision.core.rv_pipeline import *
from rastervision.core.backend import *
from rastervision.core.data import *
from rastervision.pytorch_backend import *
from... | /rastervision_pytorch_backend-0.21.tar.gz/rastervision_pytorch_backend-0.21/rastervision/pytorch_backend/examples/semantic_segmentation/spacenet_vegas.py | 0.881149 | 0.150871 | spacenet_vegas.py | pypi |
import os
from os.path import join, basename
from rastervision.core.rv_pipeline import *
from rastervision.core.backend import *
from rastervision.core.data import *
from rastervision.core.analyzer import *
from rastervision.pytorch_backend import *
from rastervision.pytorch_learner import *
from rastervision.pytorch... | /rastervision_pytorch_backend-0.21.tar.gz/rastervision_pytorch_backend-0.21/rastervision/pytorch_backend/examples/semantic_segmentation/isprs_potsdam.py | 0.742795 | 0.366505 | isprs_potsdam.py | pypi |
import os
from os.path import join
from rastervision.core.rv_pipeline import *
from rastervision.core.backend import *
from rastervision.core.data import *
from rastervision.core.analyzer import *
from rastervision.pytorch_backend import *
from rastervision.pytorch_learner import *
from rastervision.pytorch_backend.e... | /rastervision_pytorch_backend-0.21.tar.gz/rastervision_pytorch_backend-0.21/rastervision/pytorch_backend/examples/object_detection/cowc_potsdam.py | 0.73307 | 0.36869 | cowc_potsdam.py | pypi |
import os
from os.path import join
from rastervision.core.rv_pipeline import *
from rastervision.core.backend import *
from rastervision.core.data import *
from rastervision.core.analyzer import *
from rastervision.pytorch_backend import *
from rastervision.pytorch_learner import *
from rastervision.pytorch_backend.e... | /rastervision_pytorch_backend-0.21.tar.gz/rastervision_pytorch_backend-0.21/rastervision/pytorch_backend/examples/object_detection/xview.py | 0.742235 | 0.32981 | xview.py | pypi |
import os
import glob
import rasterio
from PIL import Image
import numpy as np
import click
from object_detection.utils.np_box_list import BoxList
from rv.utils import save_geojson, make_empty_dir
def png_to_geojson(geotiff_path, label_png_path, output_path, object_half_len):
"""Convert COWC PNG labels to GeoJ... | /rastervision_pytorch_backend-0.21.tar.gz/rastervision_pytorch_backend-0.21/rastervision/pytorch_backend/examples/object_detection/cowc_potsdam_data_prep/prepare_potsdam.py | 0.58948 | 0.487246 | prepare_potsdam.py | pypi |
import os
from os.path import join
import albumentations as A
from rastervision.core.rv_pipeline import *
from rastervision.core.backend import *
from rastervision.core.data import *
from rastervision.core.analyzer import *
from rastervision.pytorch_backend import *
from rastervision.pytorch_learner import *
from ra... | /rastervision_pytorch_backend-0.21.tar.gz/rastervision_pytorch_backend-0.21/rastervision/pytorch_backend/examples/chip_classification/spacenet_rio.py | 0.71413 | 0.210584 | spacenet_rio.py | pypi |
from typing import (TYPE_CHECKING, Dict, Iterable, List, Optional, Tuple,
Union)
import warnings
import logging
import numpy as np
import torch
from rastervision.pytorch_learner.learner import Learner
from rastervision.pytorch_learner.object_detection_utils import (
BoxList, TorchVisionODAdap... | /rastervision_pytorch_learner-0.21-py3-none-any.whl/rastervision/pytorch_learner/object_detection_learner.py | 0.935641 | 0.309493 | object_detection_learner.py | pypi |
from typing import TYPE_CHECKING, Callable, Iterable, List, Optional, Sequence, Union
from enum import Enum
import logging
import albumentations as A
from torch import nn
from torchvision import models
from rastervision.core.data import Scene
from rastervision.pipeline.config import (Config, register_config, Field,
... | /rastervision_pytorch_learner-0.21-py3-none-any.whl/rastervision/pytorch_learner/regression_learner_config.py | 0.944022 | 0.348119 | regression_learner_config.py | pypi |
from typing import TYPE_CHECKING, Optional, Tuple
import warnings
import logging
import torch
from torch.nn import functional as F
from rastervision.pytorch_learner.learner import Learner
from rastervision.pytorch_learner.utils import (
compute_conf_mat_metrics, compute_conf_mat, aggregate_metrics)
from rastervi... | /rastervision_pytorch_learner-0.21-py3-none-any.whl/rastervision/pytorch_learner/semantic_segmentation_learner.py | 0.916736 | 0.373304 | semantic_segmentation_learner.py | pypi |
from typing import TYPE_CHECKING, Optional
import warnings
from os.path import join
import logging
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import torch
import torch.nn.functional as F
from rastervision.pytorch_learner.learner import Learner
from rastervision.pytorch_learner.dataset.vis... | /rastervision_pytorch_learner-0.21-py3-none-any.whl/rastervision/pytorch_learner/regression_learner.py | 0.856872 | 0.39321 | regression_learner.py | pypi |
from typing import (Any, Callable, Optional, Sequence, Tuple, Iterable, List,
Dict, Union)
from collections import defaultdict
from os.path import join
from operator import iand
from functools import reduce
from pprint import pformat
import torch
import torch.nn as nn
from torchvision.ops import (b... | /rastervision_pytorch_learner-0.21-py3-none-any.whl/rastervision/pytorch_learner/object_detection_utils.py | 0.892671 | 0.337231 | object_detection_utils.py | pypi |
from typing import Callable, Optional, Union
from os.path import join
from enum import Enum
import logging
import albumentations as A
from torch import nn
from torch.utils.data import Dataset
from torchvision import models
from rastervision.core.data import Scene
from rastervision.pipeline.config import (Config, regi... | /rastervision_pytorch_learner-0.21-py3-none-any.whl/rastervision/pytorch_learner/semantic_segmentation_learner_config.py | 0.895762 | 0.209631 | semantic_segmentation_learner_config.py | pypi |
from typing import TYPE_CHECKING, Optional, Union
from enum import Enum
from os.path import join
import logging
import albumentations as A
from torchvision.models.detection.backbone_utils import resnet_fpn_backbone
from torchvision.models.detection.faster_rcnn import FasterRCNN
from rastervision.core.data import Sce... | /rastervision_pytorch_learner-0.21-py3-none-any.whl/rastervision/pytorch_learner/object_detection_learner_config.py | 0.930742 | 0.219609 | object_detection_learner_config.py | pypi |
def register_plugin(registry):
registry.set_plugin_version('rastervision.pytorch_learner', 4)
import rastervision.pipeline
from rastervision.pytorch_learner.learner_config import *
from rastervision.pytorch_learner.learner import *
from rastervision.pytorch_learner.learner_pipeline_config import *
from rastervi... | /rastervision_pytorch_learner-0.21-py3-none-any.whl/rastervision/pytorch_learner/__init__.py | 0.553023 | 0.2116 | __init__.py | pypi |
from typing import Callable, Optional, Union
from enum import Enum
import logging
import albumentations as A
from torch import nn
from rastervision.core.data import Scene
from rastervision.pipeline.config import (Config, register_config, ConfigError)
from rastervision.pytorch_learner.learner_config import (
Learn... | /rastervision_pytorch_learner-0.21-py3-none-any.whl/rastervision/pytorch_learner/classification_learner_config.py | 0.904239 | 0.231082 | classification_learner_config.py | pypi |
from typing import Union, Optional, Tuple, Any, TypeVar
from typing_extensions import Literal
import logging
import numpy as np
import albumentations as A
import torch
from torch.utils.data import Dataset
from rastervision.core.box import Box
from rastervision.core.data import Scene
from rastervision.pytorch_learner.... | /rastervision_pytorch_learner-0.21-py3-none-any.whl/rastervision/pytorch_learner/dataset/dataset.py | 0.948597 | 0.639905 | dataset.py | pypi |
from typing import Optional, Tuple, Any, Callable, Dict
from pydantic import PositiveInt as PosInt
from enum import Enum
import numpy as np
import albumentations as A
import torch
from rastervision.pytorch_learner.object_detection_utils import BoxList
class TransformType(Enum):
noop = 'noop'
classification... | /rastervision_pytorch_learner-0.21-py3-none-any.whl/rastervision/pytorch_learner/dataset/transform.py | 0.952375 | 0.650051 | transform.py | pypi |
from typing import TYPE_CHECKING, Iterable, List, Optional, Union
import logging
from rastervision.pytorch_learner.dataset import (
ImageDataset, TransformType, SlidingWindowGeoDataset,
RandomWindowGeoDataset, make_image_folder_dataset)
from rastervision.core.data.utils import make_cc_scene
if TYPE_CHECKING:
... | /rastervision_pytorch_learner-0.21-py3-none-any.whl/rastervision/pytorch_learner/dataset/classification_dataset.py | 0.944009 | 0.403097 | classification_dataset.py | pypi |
from typing import TYPE_CHECKING, List, Optional, Tuple, Union
from pathlib import Path
import logging
import numpy as np
from torch.utils.data import Dataset
from rastervision.pytorch_learner.dataset import (
ImageDataset, TransformType, SlidingWindowGeoDataset,
RandomWindowGeoDataset, load_image, discover_i... | /rastervision_pytorch_learner-0.21-py3-none-any.whl/rastervision/pytorch_learner/dataset/semantic_segmentation_dataset.py | 0.958528 | 0.406096 | semantic_segmentation_dataset.py | pypi |
from typing import Dict, Iterable, List, Optional, Tuple
from os import PathLike
from os.path import splitext
from pathlib import Path
from itertools import chain
import numpy as np
from torchvision.datasets.folder import (IMG_EXTENSIONS, DatasetFolder)
from PIL import Image
IMG_EXTENSIONS = tuple([*IMG_EXTENSIONS, '... | /rastervision_pytorch_learner-0.21-py3-none-any.whl/rastervision/pytorch_learner/dataset/utils/utils.py | 0.894473 | 0.328031 | utils.py | pypi |
from typing import Sequence, Tuple, Union
import numpy as np
from shapely.geometry import Polygon, MultiPolygon, LinearRing
from shapely.ops import unary_union
from triangle import triangulate
class AoiSampler():
"""Given a set of polygons representing the AOI, allows efficiently
sampling points inside the A... | /rastervision_pytorch_learner-0.21-py3-none-any.whl/rastervision/pytorch_learner/dataset/utils/aoi_sampler.py | 0.972532 | 0.807878 | aoi_sampler.py | pypi |
from typing import (Sequence, Optional)
from textwrap import wrap
import torch
from rastervision.pytorch_learner.dataset.visualizer import Visualizer # NOQA
from rastervision.pytorch_learner.utils import (plot_channel_groups,
channel_groups_to_imgs)
class Classificat... | /rastervision_pytorch_learner-0.21-py3-none-any.whl/rastervision/pytorch_learner/dataset/visualizer/classification_visualizer.py | 0.928555 | 0.383872 | classification_visualizer.py | pypi |
from typing import (Sequence, Optional, Union)
import torch
import numpy as np
import matplotlib.colors as mcolors
import matplotlib.patches as mpatches
from rastervision.pytorch_learner.dataset.visualizer import Visualizer # NOQA
from rastervision.pytorch_learner.utils import (
color_to_triple, plot_channel_gro... | /rastervision_pytorch_learner-0.21-py3-none-any.whl/rastervision/pytorch_learner/dataset/visualizer/semantic_segmentation_visualizer.py | 0.922128 | 0.456349 | semantic_segmentation_visualizer.py | pypi |
from typing import (Sequence, Optional)
from textwrap import wrap
import torch
import numpy as np
import matplotlib.pyplot as plt
from rastervision.pytorch_learner.dataset.visualizer import Visualizer # NOQA
from rastervision.pytorch_learner.utils import (plot_channel_groups,
... | /rastervision_pytorch_learner-0.21-py3-none-any.whl/rastervision/pytorch_learner/dataset/visualizer/regression_visualizer.py | 0.934477 | 0.446495 | regression_visualizer.py | pypi |
[](https://pypi.org/project/rastervision/)
[](https://docs.rastervision.io/en/stable/?badge=stable)
[![Licens... | /rastervision-0.21.tar.gz/rastervision-0.21/README.md | 0.737631 | 0.983629 | README.md | pypi |
import click
import simplejson
from rastless.commands import layers
from rastless.config import Cfg
from rastless.core.s3 import delete_layer_step_files
from rastless.core.schemas import CompressionTypes
from rastless.core.validate import validate_filenames_exists, validate_input_with_append
from rastless.db.base impo... | /rastless_cli-1.2.0-py3-none-any.whl/rastless/cli/layers.py | 0.433742 | 0.171824 | layers.py | pypi |
from typing import List, Union
import boto3
from boto3.dynamodb.conditions import Key
from pydantic import parse_obj_as
from rastless.db.models import ColorMap, LayerModel, LayerStepModel, PermissionModel
class Database:
def __init__(self, table_name, resource=None):
if not resource:
resourc... | /rastless_cli-1.2.0-py3-none-any.whl/rastless/db/handler.py | 0.790773 | 0.216198 | handler.py | pypi |
import os
from dataclasses import dataclass
from typing import TYPE_CHECKING, List, Set
import boto3
import click
from pyproj import Transformer
from rasterio.io import MemoryFile
from rio_cogeo.cogeo import cog_info, cog_translate, cog_validate
from rio_cogeo.profiles import cog_profiles
from rastless.core.schemas i... | /rastless_cli-1.2.0-py3-none-any.whl/rastless/core/cog.py | 0.677367 | 0.150185 | cog.py | pypi |
from asyncio import gather
from json import loads
from re import IGNORECASE, MULTILINE
from re import compile as compile_re
from typing import Pattern
from aiohttp import ClientSession
class Rastreio:
"""Rastreio
Na classe rastreio tu irá encontrar métodos para fazer o rastreio de
encomendas na base de ... | /rastreio_correios_async-1.0.1-py3-none-any.whl/rastreio_correios/rastreador.py | 0.721841 | 0.292545 | rastreador.py | pypi |
<p align="center">
<a href="https://github.com/duncaneddy/rastro/"><img src="https://raw.githubusercontent.com/duncaneddy/rastro/main/docs/en/docs/img/logo-gold.png" alt="RAstro"></a>
</p>
<p align="center">
<em>FastAPI framework, high performance, easy to learn, fast to code, ready for production</em>
</p>
<p al... | /rastro-0.1.8.tar.gz/rastro-0.1.8/README.md | 0.68721 | 0.990839 | README.md | pypi |
import numpy as np
from .methods import intersect
class LinearWall:
def __init__(self, name, bias, slope, t=[0, 1]):
"""
line-segment: u+tv
"""
self.name = name
self.bias = bias
self.slope = slope
self.t = t
self.intersects = {}
@property
... | /rat_simulator-1.2.0-py3-none-any.whl/ratsimulator/Environment/Walls.py | 0.910396 | 0.555254 | Walls.py | pypi |
from datetime import datetime, timedelta
import urwid
from .io import parse_line
from .exceptions import RecordOverlap
class TaskButtonWrap(urwid.WidgetWrap):
"""
Button that adjusts label to terminal width
https://stackoverflow.com/questions/41571349/change-button-label-on-screen-redraw-urwid
"""
... | /rata-pkg-belugame-0.0.1.tar.gz/rata-pkg-belugame-0.0.1/rata/libs/widgets.py | 0.649023 | 0.197696 | widgets.py | pypi |
from datetime import datetime, timedelta
from .io import datetime_format, format_duration, read_file, write_file
from .exceptions import RecordOverlap
class Record(object):
def __init__(self, task, start=None, end=None):
self.task = task
if start and end:
assert start <= end, "Assert... | /rata-pkg-belugame-0.0.1.tar.gz/rata-pkg-belugame-0.0.1/rata/libs/tasks.py | 0.694406 | 0.379522 | tasks.py | pypi |
import os
import glob
import csv
import logging
import re
from ratatosk.utils import rreplace
from ratatosk.ext.scilife.bcbio import bcbio_config_to_sample_sheet
logging.basicConfig(level=logging.DEBUG)
def collect_sample_runs(task):
"""Collect sample runs for a sample. Since it is to be used with
MergeSamFil... | /ratatosk.ext.scilife-0.1.0.tar.gz/ratatosk.ext.scilife-0.1.0/ratatosk/ext/scilife/sample.py | 0.525612 | 0.291195 | sample.py | pypi |
# ratatoskr
[](https://travis-ci.org/ngergo/ratatoskr)
[](https://coveralls.io/github/ngergo/ratatoskr?branch=master)
[
class ProcessorPredicate:
"""
Determin... | /rate-limiter-py-0.3.0.tar.gz/rate-limiter-py-0.3.0/limiter/event_processors.py | 0.833291 | 0.496033 | event_processors.py | pypi |
from limiter.utils import validate_table_env_fallback
from limiter.managers import FungibleTokenManager, NonFungibleTokenManager
class BaseTokenLimiter:
"""
Base class for both fungible and non-fungible token limiters.
Args:
resource_name (str): Name of the resource being rate-limited.
def... | /rate-limiter-py-0.3.0.tar.gz/rate-limiter-py-0.3.0/limiter/limiters.py | 0.870225 | 0.341802 | limiters.py | pypi |
import json
from boto3.dynamodb.conditions import Key
from limiter.utils import validate_table_env_fallback
from limiter.clients import dynamodb
from limiter.managers import ACCOUNT_ID, RESOURCE_NAME, LIMIT, WINDOW_SEC
# DynamoDB table columns
SERVICE_NAME = 'serviceName'
CONFIG_VERSION = 'configVersion'
class LimitL... | /rate-limiter-py-0.3.0.tar.gz/rate-limiter-py-0.3.0/limiter/loader.py | 0.7641 | 0.352536 | loader.py | pypi |
import logging
import uuid
from datetime import datetime
from botocore.exceptions import ClientError
from boto3.dynamodb.conditions import Key, Attr
from future.utils import raise_from
from limiter.clients import dynamodb
from limiter.exceptions import CapacityExhaustedException, ReservationNotFoundException, Throttlin... | /rate-limiter-py-0.3.0.tar.gz/rate-limiter-py-0.3.0/limiter/managers.py | 0.782496 | 0.160957 | managers.py | pypi |
import asyncio
import re
from asyncio import Lock
from collections import defaultdict
from dataclasses import dataclass
from time import time
from typing import List, Optional, Tuple, Union
from urllib.parse import urlsplit
from ready_logger import get_logger
from .rates import ConstantRate, VariableRate
class Rate... | /rate-limiters-0.2.8.tar.gz/rate-limiters-0.2.8/rate_limiters/rate_limiters.py | 0.88164 | 0.314919 | rate_limiters.py | pypi |
import os
import signal
from socket import gethostname
from time import sleep, time
import redis
from .utils import ScopedKV
class DistTargetRateLimiters:
def __init__(
self,
redis_url: str = os.getenv("REDIS_URL", "redis://localhost"),
limit_by_worker_hostname: bool = True,
**kw... | /rate-limiters-0.2.8.tar.gz/rate-limiters-0.2.8/rate_limiters/distributed_rate_limiter.py | 0.596433 | 0.174586 | distributed_rate_limiter.py | pypi |
from dataclasses import dataclass
import logging
from typing import List, Optional
from pydantic import BaseModel, BaseSettings, Field, HttpUrl, SecretStr
from pydantic_yaml import YamlModel
from .connectors import ConfluenceClient, JiraClient
#: Create logger for this file.
logger = logging.getLogger()
class Secr... | /rate_my_project-1.1.0-py3-none-any.whl/rate_my_project/config.py | 0.900168 | 0.226292 | config.py | pypi |
import asyncio
import logging
import os
from jinja2 import Environment, ChoiceLoader, FileSystemLoader, PackageLoader
from .config import GlobalConfig
from .connectors import ConfluenceClient
from .metrics import Metric, MetricData
from .utils import fetch_tickets_information
#: Create logger for this file.
logger =... | /rate_my_project-1.1.0-py3-none-any.whl/rate_my_project/report.py | 0.714329 | 0.156556 | report.py | pypi |
import asyncio
import logging
from typing import List, Optional, Union
from aiohttp import BasicAuth
from .httpclient import HttpClient
#: Create logger for this file.
logger = logging.getLogger()
class JiraClient:
"""
This class is used to interfacing Jira server.
"""
#: Version of Atlassian API ... | /rate_my_project-1.1.0-py3-none-any.whl/rate_my_project/connectors/jiraclient.py | 0.871009 | 0.24168 | jiraclient.py | pypi |
import logging
from typing import List
from aiohttp import BasicAuth
from .httpclient import HttpClient
#: Create logger for this file.
logger = logging.getLogger()
class ConfluenceClient:
"""
This class is used to interfacing Confluence server.
"""
#: Standard headers
STANDARD_HEADERS: dict =... | /rate_my_project-1.1.0-py3-none-any.whl/rate_my_project/connectors/confluenceclient.py | 0.859192 | 0.211396 | confluenceclient.py | pypi |
import logging
from typing import List
import dash_bootstrap_components as dbc
import plotly.express as px
from .metric import Metric, MetricData, MetricReport
#: Create logger for this file.
logger = logging.getLogger()
class Status(Metric):
"""
This class is used to provide metric about status.
"""
... | /rate_my_project-1.1.0-py3-none-any.whl/rate_my_project/metrics/status.py | 0.918249 | 0.327897 | status.py | pypi |
from __future__ import annotations
from abc import ABC, abstractmethod
from dataclasses import dataclass
import logging
import os
from typing import List, Optional
from dash import dcc
import dash_bootstrap_components as dbc
from dateutil.parser import isoparse
import pandas as pd
import plotly.graph_objects as go
#:... | /rate_my_project-1.1.0-py3-none-any.whl/rate_my_project/metrics/metric.py | 0.930514 | 0.336808 | metric.py | pypi |
from PyInquirer import prompt
class GUI:
@staticmethod
def questions(supported_writers, supported_algorithms, keys):
questions = [
{
'type': 'list',
'name': 'player_a',
'message': 'First Player Key',
'choices': keys,
... | /gui/gui.py | 0.581303 | 0.32294 | gui.py | pypi |
from numpy.core.umath import isnan
from boost_collections.zskiplist.constant import ZSKIPLIST_MAXLEVEL
from boost_collections.zskiplist.util import elecmp, zsl_random_level
from boost_collections.zskiplist.zskiplist_node import ZskiplistNode
class Zskiplist(object):
def __init__(self):
super(Zskiplist, ... | /ratel-1.0.1.tar.gz/ratel-1.0.1/boost_collections/zskiplist/zskiplist.py | 0.657758 | 0.478894 | zskiplist.py | pypi |
import time
import numpy as np
__all__ = ('IntRingBuffer', 'RateLimit', 'RateLimitManager', 'RateLimitError')
class IntRingBuffer(object):
def __init__(self, size):
self._size = size
self._buffer = np.ndarray((size,), dtype=np.int64)
self._head = 0
self._next = 0
self._... | /ratelimit-manager-0.0.1.tar.gz/ratelimit-manager-0.0.1/rlmanager/__init__.py | 0.637257 | 0.190705 | __init__.py | pypi |
import typer
from ratelimitcli.config import CONFIG_PATH
from ratelimitcli.config.config_file_serde import (
ConfigFileSerDe,
User,
Config,
setattr_nested,
)
help = """
NAME:
configure
DESCRIPTION
Configure RateLimit CLI options. If this command is run with no
arguments, you will be ... | /config/configure.py | 0.40251 | 0.156943 | configure.py | pypi |
from dataclasses import dataclass, asdict
from pathlib import Path
import typing
import pytomlpp
import typer
@dataclass
class User:
first_name: str = None
last_name: str = None
email: str = None
@dataclass
class Config:
user: User = None
ratelimit_api_key: str = None
class ConfigFileSerDe:
... | /config/config_file_serde.py | 0.707101 | 0.233619 | config_file_serde.py | pypi |
import collections
import functools
import threading
import time
import sys
from textwrap import dedent
try:
import asyncio
except ImportError:
asyncio = None
__author__ = 'Frazer McLean <frazer@frazermclean.co.uk>'
__version__ = '1.2.0.post0'
__license__ = 'Apache'
__description__ = 'Simple python rate limi... | /ratelimiter-1.2.0.post0-py3-none-any.whl/ratelimiter.py | 0.612194 | 0.183265 | ratelimiter.py | pypi |
RateLimitingFilter
==================
.. image:: https://travis-ci.org/wkeeling/ratelimitingfilter.svg?branch=master
:target: https://travis-ci.org/wkeeling/ratelimitingfilter
.. image:: https://codecov.io/gh/wkeeling/ratelimitingfilter/branch/master/graph/badge.svg
:target: https://codecov.io/gh/wkee... | /ratelimitingfilter-1.5.tar.gz/ratelimitingfilter-1.5/README.rst | 0.910282 | 0.655129 | README.rst | pypi |
import os
import numpy as np
import sympy as sp
def get_model_str(model_reference, is_sbml):
model_str = ""
if isinstance(model_reference, str):
if os.path.isfile(model_reference):
with open(model_reference, 'r') as fd:
lines = fd.readlines()
model_str = ''.j... | /ratesb_python-0.1.0.tar.gz/ratesb_python-0.1.0/ratesb_python/common/util.py | 0.719384 | 0.296272 | util.py | pypi |
from itertools import combinations, chain
import json
from ratesb_python.common import util
import os
import re
import sympy
class _CustomClassifier:
"""Custom Classifier for rate laws.
This classifier validates, classifies and operates helper methods on rate laws.
Attributes:
rate_law_class... | /ratesb_python-0.1.0.tar.gz/ratesb_python-0.1.0/ratesb_python/common/custom_classifier.py | 0.664867 | 0.22919 | custom_classifier.py | pypi |
import sys
from ratesb_python.common.custom_classifier import _CustomClassifier
from SBMLKinetics.common.simple_sbml import SimpleSBML
from SBMLKinetics.common.reaction import Reaction
from typing import List, Dict, Optional
from ratesb_python.common import util
from ratesb_python.common.results import Results
import... | /ratesb_python-0.1.0.tar.gz/ratesb_python-0.1.0/ratesb_python/common/analyzer.py | 0.6973 | 0.330579 | analyzer.py | pypi |
from collections import OrderedDict
class Results:
def __init__(self):
self.results = OrderedDict()
def add_message(self, reaction_name: str, code: int, message: str, is_warning=True):
"""
Adds a new result to the results list.
Args:
reaction_name (str): name of th... | /ratesb_python-0.1.0.tar.gz/ratesb_python-0.1.0/ratesb_python/common/results.py | 0.858081 | 0.245125 | results.py | pypi |
__all__ = ()
#-----------------------------------------------------------------------------
# IMPORTANT NOTE: DO NOT import the clnum module into the global namespace of
# this module. This module is imported during the initialization of clnum and
# would create a circular import.
#-----------------------------------... | /ratfun-2.6.tar.gz/ratfun-2.6/clnum/_clnum_str.py | 0.578567 | 0.2174 | _clnum_str.py | pypi |
# RatInABox  [](https://badge.fury.io/py/ratinabox) [](https://pepy.tech/project/ratinabox)<img align="right" src=".imag... | /ratinabox-1.9.1.tar.gz/ratinabox-1.9.1/README.md | 0.919159 | 0.991041 | README.md | pypi |
# Contributing Guidelines
Although the current version of `ratingcurve` is primarily intended for research,
contributions are welcome.
Please read this document for information on *how* to contribute.
`ratingcurve` broadly follows a ["forking" workflow](https://docs.github.com/en/get-started/quickstart/contributing-t... | /ratingcurve-0.3.6.tar.gz/ratingcurve-0.3.6/CONTRIBUTING.md | 0.835886 | 0.861538 | CONTRIBUTING.md | pypi |
# Natural Splines
Splines are flexible functions that can be used to fit rating curves.
In fact, the multi-segment power law is a form of linear spline,
but other types of spline can be used as well.
One alternative is the natural spline.
They have the advantage of being faster to fit,
but their form is less constrain... | /ratingcurve-0.3.6.tar.gz/ratingcurve-0.3.6/docs/notebooks/spline-tutorial.ipynb | 0.543348 | 0.981542 | spline-tutorial.ipynb | pypi |
# Segmented Power Law
[](https://colab.research.google.com/github/thodson-usgs/ratingcurve/blob/main/docs/notebooks/segmented-power-law-demo.ipynb)
There are several approaches to fitting a stage-discharge rating curve.
This notebook demonstr... | /ratingcurve-0.3.6.tar.gz/ratingcurve-0.3.6/docs/notebooks/segmented-power-law-tutorial.ipynb | 0.503662 | 0.989066 | segmented-power-law-tutorial.ipynb | pypi |
# Getting Started
A simple demonstration fitting a rating curve is show below.
First load the library (1) and some tutorial data (2):
```
# 1. load modules
from ratingcurve.ratingmodel import PowerLawRating
from ratingcurve import data
# 2. load tutorial data
df = data.load('green channel')
df.head()
```
Now initial... | /ratingcurve-0.3.6.tar.gz/ratingcurve-0.3.6/docs/notebooks/getting-started-tutorial.ipynb | 0.664649 | 0.991406 | getting-started-tutorial.ipynb | pypi |
# Model selection
Perhaps we do not know the number of segments in a rating or that a power law is better than another type of model.
In these situations, we want to compare the performance of one model against another,
then select whichever models gives the best fit for the data.
More specifically, we want to know th... | /ratingcurve-0.3.6.tar.gz/ratingcurve-0.3.6/docs/notebooks/model-selection-tutorial.ipynb | 0.603231 | 0.986442 | model-selection-tutorial.ipynb | pypi |
from __future__ import annotations
import logging
from io import BytesIO
from types import TracebackType
from typing import Tuple, Set, List, Optional, Type
from serial import Serial
from .models import (Dive,
DiveSample,
DiveMode,
WaterType,
... | /ratio_dumper-0.0.1.tar.gz/ratio_dumper-0.0.1/ratio_dumper/driver.py | 0.891262 | 0.300967 | driver.py | pypi |
import logging
from xml.dom import minidom
from xml.etree import ElementTree
from xml.etree.cElementTree import Element, SubElement
from crcmod.predefined import mkCrcFun
from .models import Dive
logger: logging.Logger = logging.getLogger(__name__)
class CrcHelper:
@staticmethod
def calculate(payload: byte... | /ratio_dumper-0.0.1.tar.gz/ratio_dumper-0.0.1/ratio_dumper/utilities.py | 0.708918 | 0.317268 | utilities.py | pypi |
from enum import Enum
from typing import List
from dataclasses import dataclass
class DiveMode(Enum):
OC = 0
class WaterType(Enum):
Salt = 0
Fresh = 1
class DecompressionAlgorithm(Enum):
buhlmann_16b = 2
class SoftwareVersion:
version: int
major: str
minor: str
patch: str
bu... | /ratio_dumper-0.0.1.tar.gz/ratio_dumper-0.0.1/ratio_dumper/models.py | 0.90384 | 0.318551 | models.py | pypi |
def ratio_merge(first_list, second_list, merge_ratio=0.5, desired_length=None, strict=False):
""" This function acts as a generator producing elements from the two given lists by the given <merge_ratio>.
The generator would preserve any internal order within the lists and would produce no more then <desired_len... | /ratio_merge-0.3.2.tar.gz/ratio_merge-0.3.2/ratio_merge/__init__.py | 0.603815 | 0.404684 | __init__.py | pypi |
import numpy as np
from numpy.linalg import norm
from sklearn.utils import shuffle
from sklearn.base import RegressorMixin
from sklearn.linear_model._base import LinearModel
from sklearn.linear_model import LinearRegression
import warnings
warnings.simplefilter(action='ignore', category=UserWarning)
import pandas as... | /ratio_t2e-0.0.6-py3-none-any.whl/customize_regressor.py | 0.883889 | 0.453927 | customize_regressor.py | pypi |
import torch.nn.functional as f
import torch
import numpy as np
from sklearn.linear_model import LinearRegression
def calculate_tau(y_censored):
"""
Calculate the censoring rate of the observed competing events
:param y_censored: time to competing events
:return: tau
"""
if len(y_censored.inde... | /ratio_t2e-0.0.6-py3-none-any.whl/RATIO.py | 0.904524 | 0.69166 | RATIO.py | pypi |
import sys
import numpy as np
import pandas as pd
from scipy.optimize import root_scalar
from natsort import order_by_index, index_natsorted
def in_debug() -> bool:
gettrace = getattr(sys, 'gettrace', None)
if gettrace is None:
# We can't check this
return False
elif gettrace():
re... | /ratio_t2e-0.0.6-py3-none-any.whl/MLE_augmentor.py | 0.480235 | 0.361446 | MLE_augmentor.py | pypi |
import torch
def _get_xps(z, len_numerator, len_denominator):
xps = list()
xps.append(z)
for _ in range(max(len_numerator, len_denominator) - 2):
xps.append(xps[-1].mul(z))
xps.insert(0, torch.ones_like(z))
return torch.stack(xps, 1)
def Rational_PYTORCH_A_F(x, weight_numerator, weight_d... | /rational_activations-0.2.1-1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl/rational/torch/rational_pytorch_functions.py | 0.630799 | 0.66556 | rational_pytorch_functions.py | pypi |
import mxnet as mx
from mxnet import initializer
from mxnet.gluon import HybridBlock
from rational.utils.get_weights import get_parameters
from rational.mxnet.versions import _version_a, _version_b, _version_c, _version_d
from rational._base.rational_base import Rational_base
class Rational(Rational_base, HybridBloc... | /rational_activations-0.2.1-1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl/rational/mxnet/rationals.py | 0.86521 | 0.511168 | rationals.py | pypi |
import cupy as cp
from torch.utils.dlpack import to_dlpack
import scipy.stats as sts
class Histogram():
"""
Input Histograms, used to retrieve the input of Rational Activations
"""
def __init__(self, bin_size="auto", random_select=False):
self.bins = cp.array([])
self.weights = cp.arra... | /rational_activations-0.2.1-1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl/rational/utils/histograms_cupy.py | 0.689933 | 0.36608 | histograms_cupy.py | pypi |
from mxnet.gluon.nn import HybridSequential, Activation
from rational.mxnet import Rational as RationalMxNet
from rational.torch import Rational as RationalPyTorch
import torch.nn as nn
import copy
activations = {nn.ReLU: 'relu', nn.LeakyReLU: 'leaky_relu', nn.Tanh: 'tanh', nn.Sigmoid: 'sigmoid', nn.GELU: 'gelu', nn... | /rational_activations-0.2.1-1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl/rational/utils/convert_network.py | 0.795181 | 0.463019 | convert_network.py | pypi |
import numpy as np
import scipy.stats as sts
class Histogram():
"""
Input Histograms, used to retrieve the input of Rational Activations
"""
def __init__(self, bin_size="auto", random_select=False):
self.bins = np.array([])
self.weights = np.array([], dtype=np.uint32)
self._emp... | /rational_activations-0.2.1-1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl/rational/utils/histograms_numpy.py | 0.690976 | 0.436622 | histograms_numpy.py | pypi |
from tensorflow.keras.layers import Layer
import tensorflow as tf
from rational.keras.versions import _version_a, _version_b, _version_c, \
_version_d
from rational.utils.get_weights import get_parameters
from rational._base.rational_base import Rational_base
class Rational(Rational_base, Layer):
"""
Rat... | /rational_activations-0.2.1-1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl/rational/keras/rationals.py | 0.939018 | 0.605916 | rationals.py | pypi |
from rats.core.session_data_tracker import SessionDataTracker
from rats.core.rats_data_tracker import RatsDataTracker
from rats.core.RATS_CONFIG import packagepath, cachepath, dfpath, PlotBanks
from rats.core.rats_parser import RatsParser
from dash_extensions.enrich import DashProxy, MultiplexerTransform, TriggerTransf... | /ratpy-1.2.2-py3-none-any.whl/rats/app.py | 0.602412 | 0.18407 | app.py | pypi |
from rats.core.RATS_CONFIG import Packet, LLCEDBFormat, packagepath, dfpath
from plotly.subplots import make_subplots
import plotly.express as px
import plotly.graph_objects as go
import pandas as pd
pd.options.mode.chained_assignment = None # get rid of SettingWithCopyWarning. Default='warn'
color_palette = px.colo... | /ratpy-1.2.2-py3-none-any.whl/rats/modules/scope/scope_plots.py | 0.405684 | 0.218899 | scope_plots.py | pypi |
from dash.dependencies import Input, State
from dash.exceptions import PreventUpdate
from dash_extensions.enrich import Trigger, Output
from rats.modules.error_detection import error_detection_plot
from rats.modules.scope import scope_plots
from rats.core.rats_parser import RatsParser
import plotly
import datetime
def... | /ratpy-1.2.2-py3-none-any.whl/rats/modules/error_detection/error_detection_callbacks.py | 0.6137 | 0.170232 | error_detection_callbacks.py | pypi |
from dash.dependencies import State, Input
from dash import html
from dash_extensions.enrich import Output, Trigger
from rats.app import session_data, rats_data
from rats.core.RATS_CONFIG import PlotBanks
from rats.core.rats_parser import RatsParser
def register_callbacks(app=None, callback_designation: str = 'data_m... | /ratpy-1.2.2-py3-none-any.whl/rats/modules/data_management/data_management_callbacks.py | 0.464173 | 0.193414 | data_management_callbacks.py | pypi |
import os.path
import pathlib
from enum import Enum, unique
class PlotBanks(Enum):
def __init__(self, designation, number_of_plot_banks):
self.designation = designation
self.number_of_plot_banks = number_of_plot_banks
"""Defines the id prefix for each app's html components and the number of p... | /ratpy-1.2.2-py3-none-any.whl/rats/core/RATS_CONFIG.py | 0.600774 | 0.358606 | RATS_CONFIG.py | pypi |
from PIL import Image
import math
def chunks(l, n):
for i in range(0, len(list(l)), n):
yield l[i:i+n]
def color_to_plane_bits(color, depth):
"""returns the bits for a given pixel in a list, lowest to highest plane"""
result = [0] * depth
for bit in range(depth):
if color & (1 << bit... | /ratr0_utils-0.1.8.tar.gz/ratr0_utils-0.1.8/ratr0/util/png_util.py | 0.422266 | 0.606294 | png_util.py | pypi |
from pyspark.sql import SparkSession
from pyspark.conf import SparkConf
from pathlib import Path
def default_spark_config(cores: int, memory_per_executor: int, driver_overhead: int = 2000,
tmp_dir: str = '', extra_java_options: str = '', enable_arrow: bool = True, use_utc: bool= False) -> Spa... | /ratschlab_common-0.3.0.tar.gz/ratschlab_common-0.3.0/ratschlab_common/spark_wrapper.py | 0.770896 | 0.415432 | spark_wrapper.py | pypi |
import math
import logging
from pyspark.sql import SparkSession
from ratschlab_common.db.utils import PostgresDBConnectionWrapper, \
PostgresDBParams
class PostgresTableDumper:
def __init__(self, params: PostgresDBParams, spark_session: SparkSession,
partition_size: int = 300):
"""
... | /ratschlab_common-0.3.0.tar.gz/ratschlab_common-0.3.0/ratschlab_common/db/dump_tables.py | 0.438064 | 0.240819 | dump_tables.py | pypi |
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