text stringlengths 185 73.3k | repo stringlengths 7 100 | path stringlengths 4 146 | language stringclasses 7
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from app.helpers.enums import BadFlags
from app.common.config import config_instance as config
from app.common.database.repositories import scores
from app.common.helpers import performance, replays
from app.common import officer
from app.common.database import (
DBBeatmap,
DBScore,
DBUser
)
from app.commo... | osuTitanic/deck | app/helpers/score.py | .py | becfa59c26ff2c88 | 7.52 | 10 |
from sqlalchemy.orm import Session
from datetime import datetime
from typing import List
from app.common.config import config_instance as config
from app.helpers import bss
from app.helpers.bss_decorators import (
integer_boolean_form,
catch_bss_errors,
integer_boolean,
query_or_form,
comma_list,
... | osuTitanic/deck | app/routes/web/bss_osz2.py | .py | bf97d2e1c407a47c | 7.52 | 10 |
from typing import Any, final
import matplotlib.pyplot as plt
import numpy as np
import pytorch_lightning as pl
import torch
from matplotlib.colors import BoundaryNorm, ListedColormap
from matplotlib.patches import Patch
from pytorch_lightning.utilities.types import STEP_OUTPUT
from structlog import get_logger
from to... | yaak-ai/rmind | src/rmind/callbacks/loggers/attention_mask.py | .py | d28ce2c9b2f11306 | 7.48 | 8 |
from collections.abc import Callable, Sequence
from functools import partial
from pathlib import Path
from typing import Any, Literal, final, override
import orjson
import pytorch_lightning as pl
from pydantic import validate_call
from pytorch_lightning.callbacks import BasePredictionWriter
from tensordict import Tens... | yaak-ai/rmind | src/rmind/callbacks/prediction/_tensordict.py | .py | cd892b437472fd29 | 7.48 | 8 |
from collections.abc import Callable
from typing import Any, Protocol, override, runtime_checkable
import torch
import torch.nn.functional as F
from einops import rearrange
from torch import Tensor
from torch.nn import CrossEntropyLoss, Module
@runtime_checkable
class HasLogitBias(Protocol):
logit_bias: Tensor |... | yaak-ai/rmind | src/rmind/components/loss.py | .py | 90933a3f808b880c | 7.48 | 8 |
from typing import Any
from pydantic import InstanceOf, validate_call
from torch.nn import Module
from torch.optim.adamw import AdamW
class SelectiveAdamW(AdamW):
"""AdamW with selective weight decay.
https://stats.stackexchange.com/questions/576463/why-not-perform-weight-decay-on-layernorm-embedding
""... | yaak-ai/rmind | src/rmind/components/optimizers/selective_adamw.py | .py | 2e92e95accef5a8f | 7.48 | 8 |
import os
import streamlit as st
from auth0_component import login_button
import logging
def _get_config(name):
"""Read config from env vars first, falling back to Streamlit secrets.
Deployments provide these as environment variables; local runs typically put
them in .streamlit/secrets.toml (which only p... | openclimatefix/analysis-dashboard | src/auth.py | .py | 01c5ee050e5449de | 7.5 | 9 |
import streamlit as st
import torch
import matplotlib.pyplot as plt
import math
import pandas as pd
import numpy as np
import fsspec
# Plot helper functions
batch_id = 0
def plot_image_grid(channels, labels, cols=4, cmap="viridis", size=3):
"""
Plots a grid of images with corresponding labels and colorbars.
... | openclimatefix/analysis-dashboard | src/batch_page.py | .py | a988b8983cb1b358 | 7.5 | 9 |
import os
import fsspec
import numpy as np
import pandas as pd
import xarray as xr
import zarr
import plotly.graph_objects as go
import streamlit as st
from data_paths import all_satellite_paths, cloudcasting_path
sat_rss_path = all_satellite_paths["uk"]["rss"]
sat_0deg_path = all_satellite_paths["uk"]["0-deg"]
#... | openclimatefix/analysis-dashboard | src/cloudcasting_page.py | .py | b9e7f14fdd0e077a | 7.5 | 9 |
""" This script adds the relevant GSP to the sites
Might need to install nowcasting_dataset
and we want to added the gsp as {gsp_id}|{gsp_nam} into the database
1. Load in dno data from NG
2. Load all sites
3. For each site add dno
"""
import ssl
import os
import geopandas as gpd
from shapely.geometry import Point... | openclimatefix/analysis-dashboard | src/data/dno.py | .py | 5d77c33fd61650ba | 7.5 | 9 |
import os
import geopandas as gpd
import pandas as pd
from shapely.geometry import Point
from data.utils import lat_lon_to_osgb
dir_path = os.path.dirname(os.path.realpath(__file__))
gsp_local_file = f"{dir_path}/gsp"
gsp_names = pd.read_csv(f"{dir_path}/gsp_new_ids_and_names-edited.csv")
def download_gsp():
... | openclimatefix/analysis-dashboard | src/data/gsp.py | .py | 3f1aaa8913cc0cab | 7.5 | 9 |
import pyproj
# OSGB is also called "OSGB 1936 / British National Grid -- United
# Kingdom Ordnance Survey". OSGB is used in many UK electricity
# system maps, and is used by the UK Met Office UKV model. OSGB is a
# Transverse Mercator projection, using 'easting' and 'northing'
# coordinates which are in meters. Se... | openclimatefix/analysis-dashboard | src/data/utils.py | .py | a2037e96f9626bf1 | 7.5 | 9 |
"""Data Platform Forecast Streamlit Page Main Code."""
import asyncio
import os
import dataclasses
import datetime
import pandas as pd
import streamlit as st
import grpc.aio
from ocf.dp.dp import common_pb2
from ocf.dp.dp_data import service_pb2_grpc
from dataplatform.forecast.constant import (
metrics,
obse... | openclimatefix/analysis-dashboard | src/dataplatform/forecast/main.py | .py | 3d17b36c3b668749 | 7.5 | 9 |
"""Setup Forecast Streamlit Page."""
import datetime as dt
import dataclasses
import pandas as pd
import streamlit as st
from aiocache import Cache, cached
from ocf.dp.dp_data import messages_pb2, service_pb2_grpc
from dataplatform.forecast.cache import key_builder_remove_client
from dataplatform.forecast.constant i... | openclimatefix/analysis-dashboard | src/dataplatform/forecast/setup.py | .py | d17556c985e087cf | 7.5 | 9 |
"""Data Platform Toolbox Streamlit Page Main Code."""
import asyncio
import grpc.aio
import streamlit as st
from dataplatform.toolbox.location import locations_section
from ocf.dp.dp import common_pb2
from ocf.dp.dp_data import messages_pb2, service_pb2_grpc
import os
# Color scheme (matching existing toolbox)
# teal... | openclimatefix/analysis-dashboard | src/dataplatform/toolbox/main.py | .py | d4b939c9326351cc | 7.5 | 9 |
""" Read database functions
1. Get metric value
2. Get all users
3. Get all site groups
4. Update user site group
# TODO move to nowcasting_datamodel
"""
import logging
from datetime import datetime
from typing import List, Optional
from sqlalchemy.orm.session import Session
from sqlalchemy.orm import joinedload
from ... | openclimatefix/analysis-dashboard | src/get_data.py | .py | e287a808dfc723e9 | 7.5 | 9 |
""" A page to display the current ML models"""
import os
import pandas as pd
import streamlit as st
import plotly.express as px
from pvsite_datamodel.connection import DatabaseConnection
from pvsite_datamodel.read.model import get_models
from pvsite_datamodel.read.site import get_all_sites
from pvsite_datamodel.sqlmod... | openclimatefix/analysis-dashboard | src/mlmodel.py | .py | 1440382b097a741d | 7.5 | 9 |
import plotly.graph_objects as go
import streamlit as st
import xarray as xr
import os, fsspec
from datetime import datetime, timedelta
from data_paths import all_nwp_paths
region = os.getenv("REGION", "uk")
nwp_key_list = list(all_nwp_paths[region].keys()) + ["Other"]
def get_data(zarr_file):
# hash filena... | openclimatefix/analysis-dashboard | src/nwp_page.py | .py | 4d4247140a41a94e | 7.5 | 9 |
from typing import Callable, List, Optional, Tuple, Union
import pandas as pd
from datetime import datetime, date, timedelta
from plotly import graph_objects as go
import streamlit as st
from elexonpy.api_client import ApiClient
from elexonpy.api.generation_forecast_api import GenerationForecastApi
from google.protobuf... | openclimatefix/analysis-dashboard | src/plots/elexon_plots.py | .py | ec9d0d78efa05d46 | 7.5 | 9 |
import pandas as pd
from plotly import graph_objects as go
from plots.utils import line_color, get_x_y, MAE_LIMIT_DEFAULT
def make_mae_by_forecast_horizon(
df_mae, forecast_horizon_selection, metric_values_by_forecast_horizon
):
"""Make MAE vs Time for each forecast horizon"""
# MAE by forecast horizon a... | openclimatefix/analysis-dashboard | src/plots/forecast_horizon.py | .py | 6ec32ba1013d3941 | 7.5 | 9 |
from itertools import cycle
from nowcasting_datamodel.read.read_models import get_models
import os
from datetime import datetime, timedelta
line_color = [
"#9EC8FA",
"#9AA1F9",
"#FFAC5F",
"#9F973A",
"#7BCDF3",
"#086788",
"#63BCAF",
"#4C9A8E",
]
colour_per_model = {
"cnn": "#FFD053"... | openclimatefix/analysis-dashboard | src/plots/utils.py | .py | 913de3dd889b7467 | 7.5 | 9 |
import plotly.graph_objects as go
import streamlit as st
import xarray as xr
import os, fsspec, hashlib, zipfile
from datetime import datetime, timedelta
from data_paths import all_satellite_paths
region = os.getenv("REGION", "uk")
satellite_key_list = list(all_satellite_paths[region].keys()) + ["Other"]
def get_... | openclimatefix/analysis-dashboard | src/satellite_page.py | .py | 9c34bd3fba790d49 | 7.5 | 9 |
"""This module contains functions to get details from the database for a user, site or site group"""
from pvsite_datamodel.read import (
get_user_by_email,
get_site_by_uuid,
get_site_group_by_name
)
from pvsite_datamodel.sqlmodels import LocationAssetType
# get details for one user
def get_user_details(s... | openclimatefix/analysis-dashboard | src/site_toolbox/get_details.py | .py | eb4db1c683b8f602 | 7.5 | 9 |
"""This module contains functions for managing site groups."""
import re
import streamlit as st
from pvsite_datamodel.read import (
get_all_sites,
get_user_by_email,
get_site_by_uuid,
get_site_group_by_name
)
from get_data import get_site_by_client_site_id
from pvsite_datamodel.write.user_and_site im... | openclimatefix/analysis-dashboard | src/site_toolbox/site_group_management.py | .py | bcdba2e758ba5461 | 7.5 | 9 |
from datetime import datetime, timedelta
import numpy as np
import streamlit as st
def make_recent_summary_stats(values, title: str = "Recent MAE"):
day_before_yesterday, today, yesterday = get_recent_daily_values(values)
with st.expander(title):
st.subheader(title)
t = datetime.today() - ti... | openclimatefix/analysis-dashboard | src/tables/summary.py | .py | 21c322c695047eb6 | 7.5 | 9 |
import pandas as pd
import streamlit as st
from datetime import datetime, timedelta
import os
from nowcasting_datamodel.connection import DatabaseConnection
from nowcasting_datamodel.read.read_user import (
get_all_last_api_request,
get_api_requests_for_one_user,
)
from pvsite_datamodel.connection import Databa... | openclimatefix/analysis-dashboard | src/users.py | .py | 2e572e36e8457a7f | 7.5 | 9 |
import streamlit as st
from datetime import datetime, timezone
from zoneinfo import ZoneInfo
def load_css(css_file):
"""Load CSS from a file."""
try:
with open(css_file, "r") as f:
st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html=True)
except FileNotFoundError:
st.er... | openclimatefix/analysis-dashboard | src/utils.py | .py | 0b2ddd3c29912fff | 7.5 | 9 |
import streamlit as st
import pandas as pd
import plotly.express as px
from herbie import FastHerbie
from datetime import datetime, timedelta, time
import numpy as np
from concurrent.futures import ThreadPoolExecutor
from typing import List, Optional, Tuple
# Function to compute forecast hours
def compute_forecast_hou... | openclimatefix/analysis-dashboard | src/weather_forecast.py | .py | 4495adf32df01670 | 7.5 | 9 |
import datetime as dt
import pytest
from nowcasting_datamodel.models.base import Base_Forecast
from nowcasting_datamodel.models.metric import MetricSQL, MetricValueSQL, DatetimeIntervalSQL
from nowcasting_datamodel.read.read import get_location
from nowcasting_datamodel.read.read_models import get_model
from pvsite_da... | openclimatefix/analysis-dashboard | tests/conftest.py | .py | b60eb3e144a1c555 | 8 | 9 |
"""Generic Permissions processes."""
import logging
import os
import time
from portalocker import Lock
from portalocker.exceptions import LockException
from homeassistant.core import HomeAssistant
from O365 import Account, FileSystemTokenBackend
from O365.connection import ( # pylint: disable=import-error, no-name-... | RogerSelwyn/MS365-Mail | custom_components/ms365_mail/classes/api.py | .py | 07c29acaee051d8d | 7.65 | 19 |
"""Generic MS365 Sensor Entity."""
from homeassistant.exceptions import ServiceValidationError
from homeassistant.helpers.update_coordinator import CoordinatorEntity
from ..const import ATTR_DATA
from ..integration.const_integration import DOMAIN
from .config_entry import MS365ConfigEntry
class MS365Entity(Coordina... | RogerSelwyn/MS365-Mail | custom_components/ms365_mail/classes/entity.py | .py | 3144590e44eba45e | 7.65 | 19 |
"""Generic Permissions processes."""
from copy import deepcopy
import logging
from homeassistant.core import HomeAssistant
from ..const import (
CONF_ENTITY_NAME,
COUNTRY_URLS,
PERMISSION_PREFIX,
TOKEN_ERROR_CORRUPT,
TOKEN_ERROR_PERMISSIONS,
TOKEN_FILE_CORRUPTED,
TOKEN_FILE_PERMISSIONS,
)... | RogerSelwyn/MS365-Mail | custom_components/ms365_mail/classes/permissions.py | .py | 984c1c3495a00164 | 7.65 | 19 |
"""Utilities processes."""
from homeassistant.core import HomeAssistant
from homeassistant.helpers.entity import async_generate_entity_id
from ..const import (
CONF_API_COUNTRY,
CONF_API_OPTIONS,
CONF_TENANT_ID,
DEFAULT_TENANT_ID,
CountryOptions,
)
def add_attribute_to_item(item, user_input, att... | RogerSelwyn/MS365-Mail | custom_components/ms365_mail/helpers/utils.py | .py | 82187e12ad72f804 | 7.65 | 19 |
"""Mail constants."""
from enum import StrEnum
from homeassistant.const import Platform
PLATFORMS: list[Platform] = [Platform.SENSOR]
DOMAIN = "ms365_mail"
ATTACHMENT_FOLDER = "attachments"
ATTR_AUTOREPLIESSETTINGS = "autorepliessettings"
ATTR_ATTACHMENTS = "attachments"
ATTR_END = "end"
ATTR_EXTERNAL_AUDIENCE = "e... | RogerSelwyn/MS365-Mail | custom_components/ms365_mail/integration/const_integration.py | .py | b115722e353aadfa | 7.65 | 19 |
"""File management for MS 365 Mail."""
import base64
import os
from homeassistant.core import HomeAssistant
from ..helpers.filemgmt import build_config_file_path
from .const_integration import ATTACHMENT_FOLDER
def check_and_create_attachments_folder(hass: HomeAssistant):
"""Check if attachments folder exists ... | RogerSelwyn/MS365-Mail | custom_components/ms365_mail/integration/filemgmt_integration.py | .py | 558bdfa813fc4ba9 | 7.65 | 19 |
"""Notification processing."""
import logging
from homeassistant.components.notify import (
ATTR_DATA,
ATTR_TARGET,
ATTR_TITLE,
BaseNotificationService,
)
from homeassistant.core import HomeAssistant
from ..classes.config_entry import MS365ConfigEntry
from ..const import CONF_ENTITY_NAME
from .const_... | RogerSelwyn/MS365-Mail | custom_components/ms365_mail/integration/notify_integration.py | .py | a56e043e9cb1a5d7 | 7.65 | 19 |
"""Permissions processes for mail."""
from copy import deepcopy
from homeassistant.core import HomeAssistant
from ..classes.permissions import BasePermissions
from ..const import (
CONF_ENABLE_UPDATE,
CONF_SHARED_MAILBOX,
PERM_BASE_PERMISSIONS,
PERM_SHARED,
)
from .const_integration import (
CONF... | RogerSelwyn/MS365-Mail | custom_components/ms365_mail/integration/permissions_integration.py | .py | 7f5b64f8a984ca5c | 7.65 | 19 |
"""Mail utilities processes."""
import os
from pathlib import Path
import warnings
import zipfile
from bs4 import BeautifulSoup, MarkupResemblesLocatorWarning
from homeassistant.core import HomeAssistant
from ..const import DATETIME_FORMAT
from .const_integration import (
ATTR_ATTACHMENTS,
ATTR_MESSAGE_IS_H... | RogerSelwyn/MS365-Mail | custom_components/ms365_mail/integration/utils_integration.py | .py | 208ed98211a40115 | 7.65 | 19 |
# pylint: disable=protected-access,redefined-outer-name, unused-argument, line-too-long, unused-import
"""Global fixtures for integration."""
import json
import sys
from copy import deepcopy
from unittest.mock import patch
import pytest
from homeassistant.core import HomeAssistant
from requests_mock import Mocker
fr... | RogerSelwyn/MS365-Mail | tests/conftest.py | .py | 651c23d9078c25ff | 8.15 | 19 |
"""Mock config entry."""
from pytest_homeassistant_custom_component.common import MockConfigEntry
from ..integration import MS365ConfigEntry
class MS365MockConfigEntry(MockConfigEntry):
"""Mock config entry with MS365 runtime_data."""
def __init__(self, *args, **kwargs) -> None:
"""Initialise MS365... | RogerSelwyn/MS365-Mail | tests/helpers/mock_config_entry.py | .py | 48205caf0b001cca | 7.65 | 19 |
# pylint: disable=line-too-long
"""Utilities for MS365 testing."""
import json
import re
import shutil
import time
from datetime import datetime, timezone
from pathlib import Path
from ..const import (
CLIENT_ID,
ENTITY_NAME,
TEST_DATA_INTEGRATION_LOCATION,
TEST_DATA_LOCATION,
TOKEN_LOCATION,
... | RogerSelwyn/MS365-Mail | tests/helpers/utils.py | .py | 3c7ccaf15c11258c | 8.15 | 19 |
"""Mock setup."""
# from datetime import timedelta
from ...helpers.utils import mock_call, load_json
from ..const_integration import CN21VURL, URL
class MS365Mocks:
"""Standard mocks."""
def cn21v_mocks(self, requests_mock, tenant_id="common"):
"""Create the standard mocks."""
mock_call(req... | RogerSelwyn/MS365-Mail | tests/integration/helpers_integration/mocks.py | .py | b2955b7393a67827 | 8.15 | 19 |
"""
GitHub API Client class & helper functions
"""
import json
import pandas as pd
import requests
from .github_model import GithubModel
def get_data_frame_from_json(json_response):
"""
Converts JSON to DataFrame
Parameters:
json_response: Raw JSON Response from GitHub API Call
Returns:
df (... | conorheffron/ironoc-pytest | src/ironoc_pytest_conorheffron/github_api.py | .py | d60d761fb1381740 | 8.04 | 11 |
"""
GitHub Model Module
"""
class GithubModel:
"""
GitHub Model Class
"""
def __init__(self, login_name, login_id, url) -> None:
"""
GithubModel constructor
Parameters:
login (String): GitHub User or Organisation Name
id (int): GitHub User or Organisation ID
... | conorheffron/ironoc-pytest | src/ironoc_pytest_conorheffron/github_model.py | .py | f793b06bd868ce4d | 7.54 | 11 |
"""
GitHub Client Test Suite
"""
import json
from ironoc_pytest_conorheffron.github_api import GitHubClient
def test_github_api_conorheffron_success():
"""
Test GitHub client for user 'conorheffron'
"""
# given
git_hub_client = GitHubClient('conorheffron')
# when
result = git_hub_client.ma... | conorheffron/ironoc-pytest | src/ironoc_pytest_conorheffron/tests/test_github_api.py | .py | 9f6093ba6b3456f7 | 7.04 | 11 |
import copy
import depthai as dai
import numpy as np
from numpy.typing import NDArray
from depthai_nodes import FONT_BACKGROUND_COLOR, FONT_COLOR
from depthai_nodes.utils import AnnotationHelper, AnnotationSizes
class Classifications(dai.Buffer):
"""Classification class for storing the classes and their respect... | luxonis/depthai-nodes | depthai_nodes/message/classification.py | .py | 7f147208b78a780d | 7.52 | 10 |
import copy
import cv2
import depthai as dai
import numpy as np
from .utils import (
copy_message,
)
class Cluster(dai.Buffer):
"""Cluster class for storing a cluster.
Attributes
----------
label : int
Label of the cluster.
points : list[dai.Point2f]
List of points in the cl... | luxonis/depthai-nodes | depthai_nodes/message/clusters.py | .py | 35c37d840ad8c138 | 7.52 | 10 |
from __future__ import annotations
from typing import Generic, TypeVar
import depthai as dai
T = TypeVar("T")
class Collection(dai.Buffer, Generic[T]):
"""A generic DepthAI message containing a list of items of a single type T.
Notes:
- Python generics are erased at runtime, so runtime type checking i... | luxonis/depthai-nodes | depthai_nodes/message/collection.py | .py | 83922b397741c1e6 | 7.52 | 10 |
from typing import Generic, TypeVar
import depthai as dai
from .collection import Collection
TReference = TypeVar("TReference", bound=dai.Buffer)
TGathered = TypeVar("TGathered", bound=dai.Buffer)
class GatheredData(Collection[TGathered], Generic[TReference, TGathered]):
"""Contains N messages and reference da... | luxonis/depthai-nodes | depthai_nodes/message/gathered_data.py | .py | 4a7134d81f7544a3 | 7.52 | 10 |
import copy
import depthai as dai
from depthai_nodes import PRIMARY_COLOR
from depthai_nodes.logging import get_logger
from depthai_nodes.utils import AnnotationHelper
from .utils import (
copy_message,
)
class Line(dai.Buffer):
"""Line class for storing a line.
Attributes
----------
start_poi... | luxonis/depthai-nodes | depthai_nodes/message/lines.py | .py | fb11d379be82ff90 | 7.52 | 10 |
import copy
import cv2
import depthai as dai
import numpy as np
from numpy.typing import NDArray
class Map2D(dai.Buffer):
"""Map2D class for storing a 2D map of floats.
Attributes
----------
map : NDArray[np.float32]
2D map.
width : int
2D Map width.
height : int
2D M... | luxonis/depthai-nodes | depthai_nodes/message/map.py | .py | 5ceea6bc57547554 | 7.52 | 10 |
import copy
import depthai as dai
from depthai_nodes import FONT_BACKGROUND_COLOR, FONT_COLOR
from depthai_nodes.utils import AnnotationHelper, AnnotationSizes
class Prediction(dai.Buffer):
"""Prediction class for storing a prediction.
Attributes
----------
prediction : float
The predicted ... | luxonis/depthai-nodes | depthai_nodes/message/prediction.py | .py | 0c6975b1c5536a54 | 7.52 | 10 |
import depthai as dai
class SnapData(dai.Buffer):
"""DepthAI-compatible message for representing a single snap event.
Attributes
----------
snap_name : str
Logical name of the snap.
file_group : dai.FileGroup
Object containing the snap image and associated data.
tags : list[st... | luxonis/depthai-nodes | depthai_nodes/message/snap_data.py | .py | 762e7b218e5b16a8 | 7.52 | 10 |
import cv2
import depthai as dai
import numpy as np
from depthai_nodes.message import Map2D
from depthai_nodes.message.utils import copy_message
from depthai_nodes.node.base_host_node import BaseHostNode
class ApplyColormap(BaseHostNode):
"""A host node that applies a colormap to a 2D array (e.g. depth maps, seg... | luxonis/depthai-nodes | depthai_nodes/node/apply_colormap.py | .py | 6b7568e25cd3a68e | 7.52 | 10 |
from abc import ABCMeta, abstractmethod
import depthai as dai
from depthai_nodes.logging import get_logger
HostNodeMeta = type(dai.node.HostNode) # metaclass of dai.node.HostNode
class CombinedMeta(ABCMeta, HostNodeMeta):
pass
class BaseHostNode(dai.node.HostNode, metaclass=CombinedMeta):
"""An abstract... | luxonis/depthai-nodes | depthai_nodes/node/base_host_node.py | .py | 1d92c9e469c744a4 | 7.52 | 10 |
from abc import ABCMeta, abstractmethod
import depthai as dai
from depthai_nodes.logging import get_logger
ThreadedHostNodeMeta = type(dai.node.ThreadedHostNode) # metaclass of dai.node.HostNode
class CombinedMeta(ABCMeta, ThreadedHostNodeMeta):
pass
class BaseThreadedHostNode(dai.node.ThreadedHostNode, met... | luxonis/depthai-nodes | depthai_nodes/node/base_threaded_host_node.py | .py | 710b6d08ea4bdf1a | 7.52 | 10 |
import depthai as dai
from depthai_nodes.node.base_host_node import BaseHostNode
from .host_spatials_calc import HostSpatialsCalc
class DepthMerger(BaseHostNode):
"""DepthMerger is a custom host node for merging 2D detections with depth
information to produce spatial detections.
Attributes
--------... | luxonis/depthai-nodes | depthai_nodes/node/depth_merger.py | .py | a89483f9140c9fc4 | 7.52 | 10 |
from datetime import timedelta
from string import Template
from typing import cast
import depthai as dai
from depthai_nodes.node.base_threaded_host_node import BaseThreadedHostNode
class FrameCropper(BaseThreadedHostNode):
"""A host node that crops detection regions from frames and outputs one cropped
:clas... | luxonis/depthai-nodes | depthai_nodes/node/frame_cropper.py | .py | eedbfa224b901435 | 7.52 | 10 |
from collections.abc import Callable
import depthai as dai
import numpy as np
class HostSpatialsCalc:
"""HostSpatialsCalc is a helper class for calculating spatial coordinates from depth
data.
Attributes
----------
calibData : dai.CalibrationHandler
Calibration data handler for the devic... | luxonis/depthai-nodes | depthai_nodes/node/host_spatials_calc.py | .py | 6b1f2809563e5b02 | 7.52 | 10 |
import warnings
from dataclasses import dataclass
import depthai as dai
import numpy as np
from depthai_nodes.message.utils import compute_area, copy_message
from depthai_nodes.node.base_host_node import BaseHostNode
from depthai_nodes.node.utils.nms import nms_detections
@dataclass
class _FilterCfg:
labels_to_... | luxonis/depthai-nodes | depthai_nodes/node/img_detections_filter.py | .py | 6961edb0ba3bae33 | 7.52 | 10 |
import cv2
import depthai as dai
from depthai_nodes.node.base_host_node import BaseHostNode
class ImgFrameOverlay(BaseHostNode):
"""A host node that receives two dai.ImgFrame objects and overlays them into a
single one.
Attributes
----------
frame1 : dai.ImgFrame
The input message for th... | luxonis/depthai-nodes | depthai_nodes/node/img_frame_overlay.py | .py | 4953c7d7b7f9c854 | 7.52 | 10 |
import depthai as dai
import numpy as np
from depthai_nodes.message.utils import copy_message
from depthai_nodes.node.base_host_node import BaseHostNode
class InstanceToSemanticMask(BaseHostNode):
"""Converts a dai.ImgDetections instance mask into a semantic mask by mapping unique
instance IDs to detection c... | luxonis/depthai-nodes | depthai_nodes/node/instance_to_semantic_mask.py | .py | 80e9e5728e7c71ac | 7.52 | 10 |
from typing import (
Generic,
TypeVar,
)
import depthai as dai
from depthai_nodes import Collection
from depthai_nodes.logging import get_logger
TCollected = TypeVar("TCollected", bound=dai.Buffer)
class MessageCollector(dai.node.ThreadedHostNode, Generic[TCollected]):
"""Threaded host node that collec... | luxonis/depthai-nodes | depthai_nodes/node/message_collector.py | .py | 0be4e0416b2ff090 | 7.52 | 10 |
from abc import ABCMeta, abstractmethod
from typing import Any
import depthai as dai
from depthai_nodes.logging import get_logger
class BaseMeta(ABCMeta, type(dai.node.ThreadedHostNode)):
pass
class BaseParser(dai.node.ThreadedHostNode, metaclass=BaseMeta):
"""Base class for neural network output parsers.... | luxonis/depthai-nodes | depthai_nodes/node/parsers/base_parser.py | .py | e44bbae3e82930d0 | 7.52 | 10 |
from typing import Any
import depthai as dai
import numpy as np
from depthai_nodes.message.creators import (
create_classification_message,
)
from depthai_nodes.node.parsers.base_parser import BaseParser
from depthai_nodes.node.parsers.utils import compute_classification_scores
class ClassificationParser(BasePa... | luxonis/depthai-nodes | depthai_nodes/node/parsers/classification.py | .py | 166f62c97ee4cae1 | 7.52 | 10 |
from typing import Any
import depthai as dai
import numpy as np
from depthai_nodes.message.creators import create_classification_sequence_message
from depthai_nodes.node.parsers.utils.classification_sequence import (
compute_classification_sequence_scores,
)
from .classification import ClassificationParser
cla... | luxonis/depthai-nodes | depthai_nodes/node/parsers/classification_sequence.py | .py | 205667bc895f25e5 | 7.52 | 10 |
import depthai as dai
import numpy as np
from depthai_nodes.message.creators import (
create_detection_message,
)
from depthai_nodes.node.parsers.utils.detection import compute_detection_outputs
from .base_parser import BaseParser
class DetectionParser(BaseParser):
"""Parser class for parsing the output of ... | luxonis/depthai-nodes | depthai_nodes/node/parsers/detection.py | .py | a42cca4a69540bb2 | 7.52 | 10 |
from typing import Any
import depthai as dai
from depthai_nodes.node.parsers.base_parser import BaseParser
from depthai_nodes.node.parsers.utils.embeddings import compute_embeddings_output
class EmbeddingsParser(BaseParser):
"""Parser class for parsing the output of embeddings neural network model head.
At... | luxonis/depthai-nodes | depthai_nodes/node/parsers/embeddings.py | .py | 55e9a9724f825f5d | 7.52 | 10 |
from collections.abc import Callable, Mapping, MutableSet, Sequence
from functools import update_wrapper
from inspect import Parameter as InspectParameter
from inspect import _empty as INSPECT_EMPTY # pyright: ignore[reportPrivateUsage]
from inspect import signature
from typing import Any, get_type_hints
from haiway.... | miquido/haiway | src/haiway/attributes/function.py | .py | d4d43ef1eac1ef32 | 7.52 | 10 |
from collections.abc import Sequence
from typing import (
Any,
NoReturn,
Protocol,
Self,
final,
runtime_checkable,
)
__all__ = (
"Validating",
"ValidationError",
"Validator",
"Verifier",
"Verifying",
)
@runtime_checkable
class Validating[Type](Protocol):
"""
Protoc... | miquido/haiway | src/haiway/attributes/validation.py | .py | dc6825dac0f01b44 | 7.52 | 10 |
from collections.abc import AsyncIterable, Callable
from contextlib import AbstractAsyncContextManager
from types import TracebackType
from typing import Any, Protocol, final, overload, runtime_checkable
from haiway.attributes import State
from haiway.helpers.statemethods import statemethod
from haiway.types import Fl... | miquido/haiway | src/haiway/helpers/message_queue.py | .py | a04cc543a7b82845 | 7.52 | 10 |
from asyncio import CancelledError, sleep
from collections.abc import Callable, Coroutine
from functools import wraps
from inspect import iscoroutinefunction
from time import sleep as sleep_sync
from typing import Any, cast, overload
from haiway.context import ctx
__all__ = ("retry",)
@overload
def retry[**Args, Re... | miquido/haiway | src/haiway/helpers/retries.py | .py | 8b9b1a78fb1d8c14 | 7.52 | 10 |
from collections.abc import Callable, MutableMapping
from functools import update_wrapper
from typing import Any, Concatenate
from haiway.attributes import State
from haiway.context.access import ctx
__all__ = ("statemethod",)
class statemethod[Subject: State, **Arguments, Result]:
"""
Descriptor that alway... | miquido/haiway | src/haiway/helpers/statemethods.py | .py | f218177fcb42bf4f | 7.52 | 10 |
from asyncio import timeout as async_timeout
from collections.abc import Callable, Coroutine
from functools import wraps
from typing import Any
__all__ = ("timeout",)
def timeout[**Args, Result](
timeout: float,
/,
) -> Callable[
[Callable[Args, Coroutine[Any, Any, Result]]],
Callable[Args, Coroutine... | miquido/haiway | src/haiway/helpers/timeouting.py | .py | bd6b76c529fefb57 | 7.52 | 10 |
from collections.abc import Sequence
from typing import Any, Final, final
from haiway.context import ctx
from haiway.helpers import ConfigurationRepository, cache
from haiway.helpers.configuration import Configuration, ConfigurationInvalid
from haiway.postgres.state import Postgres
from haiway.postgres.types import Po... | miquido/haiway | src/haiway/postgres/configuration.py | .py | 3f198739dc39d077 | 7.52 | 10 |
from collections.abc import Callable, Mapping
from contextlib import AbstractAsyncContextManager
from typing import Any, Protocol, runtime_checkable
from haiway.helpers import MQQueue
__all__ = (
"RabbitMQException",
"RabbitMQQueueAccessing",
"RabbitMQQueueDeclaring",
"RabbitMQQueueDeleting",
"Rab... | miquido/haiway | src/haiway/rabbitmq/types.py | .py | 5d36cdfe40c3d7b5 | 7.52 | 10 |
"""Tests for features of PyPARRM."""
# Author(s):
# Thomas Samuel Binns | github.com/tsbinns
from multiprocessing import cpu_count
import numpy as np
import pytest
from pyparrm import PARRM
sampling_freq = 20 # Hz
artefact_freq = 10 # Hz
@pytest.mark.parametrize("n_chans", [1, 2])
@pytest.mark.parametrize("n... | neuromodulation/PyPARRM | tests/test_parrm.py | .py | 569172a55b2a0390 | 8 | 9 |
"""Tests for plotting of PyPARRM."""
# Only checks initialisation of plotting tools, not their interactivity (this needs to
# be done manually currently).
# Author(s):
# Thomas Samuel Binns | github.com/tsbinns
from multiprocessing import cpu_count
import numpy as np
import pytest
import matplotlib
from matplotli... | neuromodulation/PyPARRM | tests/test_plotting.py | .py | f4dc08d895a5bb83 | 7 | 9 |
"""Tests for utility features of PyPARRM."""
# Author(s):
# Thomas Samuel Binns | github.com/tsbinns
import os
import numpy as np
import pytest
from pyparrm import get_example_data_paths
from pyparrm.data import DATASETS
from pyparrm._utils._power import compute_psd
sampling_freq = 20 # Hz
artefact_freq = 10 #... | neuromodulation/PyPARRM | tests/test_utils.py | .py | 6c0a5462557a46b4 | 8 | 9 |
# # Optimal Control of the Poisson equation
# *Section author: Jørgen S. Dokken ([dokken@simula.no](mailto:dokken@simula.no))*.
#
# Original implementation in [dolfin-adjoint](https://github.com/dolfin-adjoint/dolfin-adjoint) was by Simon W. Funke.
# This demo solves the *mother problem* of PDE-constrained optimizatio... | scientificcomputing/dolfinx-adjoint | demos/poisson_mother.py | .py | 50e7d269e2e15bf6 | 7.56 | 12 |
import dolfinx
import numpy as np
import numpy.typing as npt
class _SpecialVector(dolfinx.la.Vector):
"""Workaround adding __iadd__ to `dolfinx.la.Vector`."""
def __init__(self, x, function_space: dolfinx.fem.FunctionSpace):
super().__init__(x._cpp_object)
self._function_space = function_spac... | scientificcomputing/dolfinx-adjoint | src/dolfinx_adjoint/blocks/_vector.py | .py | 7a1188c3743d09b7 | 7.56 | 12 |
import typing
from mpi4py import MPI
import dolfinx
import ufl
from pyadjoint import Block, create_overloaded_object
from ufl.formatting.ufl2unicode import ufl2unicode
from ._vector import _create_vector, _SpecialVector, _vector # noqa: F401
def assemble_compiled_form(
form: dolfinx.fem.Form, tensor: typing.O... | scientificcomputing/dolfinx-adjoint | src/dolfinx_adjoint/blocks/assembly.py | .py | 589c5a70d5a98fce | 7.56 | 12 |
import typing
import dolfinx
import numpy as np
import numpy.typing as npt
import ufl
from pyadjoint import AdjFloat, Block, OverloadedType
from ufl.corealg.traversal import traverse_unique_terminals
from ufl.formatting.ufl2unicode import ufl2unicode
from ..types.function import Function as _Function
from ..utils imp... | scientificcomputing/dolfinx-adjoint | src/dolfinx_adjoint/blocks/function_assigner.py | .py | 713e98f104db1d0f | 7.56 | 12 |
import dolfinx
from pyadjoint import Block
from pyadjoint.tape import stop_annotating
from ..types.function import _create_function
from .interpolation import _MatrixCSRWorkspace, get_mult
def _import_fenicsx_ii():
"""Lazy import of fenicsx_ii to avoid strict dependencies."""
try:
import fenicsx_ii
... | scientificcomputing/dolfinx-adjoint | src/dolfinx_adjoint/blocks/nonmatching_interpolation.py | .py | 65350214a4789e13 | 7.56 | 12 |
import warnings
import dolfinx
import numpy as np
import ufl
from pyadjoint.overloaded_type import create_overloaded_object
from pyadjoint.tape import annotate_tape, get_working_tape, stop_annotating
from .blocks.interpolation import ExprInterpolationBlock, InterpolationBlock
from .blocks.nonmatching_interpolation im... | scientificcomputing/dolfinx-adjoint | src/dolfinx_adjoint/interpolation.py | .py | 2b49537422c14d93 | 7.56 | 12 |
from __future__ import annotations
import typing
from petsc4py import PETSc
import dolfinx.fem.petsc
def solve_linear_problem(
A: PETSc.Mat, # type: ignore [name-defined]
x: dolfinx.la.Vector,
b: dolfinx.la.Vector,
petsc_options: typing.Optional[dict] = None,
P: typing.Optional[PETSc.Mat] = No... | scientificcomputing/dolfinx-adjoint | src/dolfinx_adjoint/petsc_utils.py | .py | f166dc6904e5690e | 7.56 | 12 |
from typing import Any
import dolfinx
import numpy as np
import numpy.typing as npt
import pyadjoint
from packaging.version import Version
from pyadjoint.overloaded_type import FloatingType
from ..blocks.dirichletbc import DirichletBCBlock
from .function import Function
class DirichletBC(dolfinx.fem.DirichletBC, Fl... | scientificcomputing/dolfinx-adjoint | src/dolfinx_adjoint/types/dirichletbc.py | .py | 36b378eb4415edf6 | 7.56 | 12 |
from __future__ import annotations
import typing
import basix.ufl
import dolfinx
import numpy
import numpy.typing as npt
import ufl
from pyadjoint.overloaded_type import (
FloatingType,
create_overloaded_object,
register_overloaded_type,
)
from pyadjoint.tape import no_annotations
from ..blocks._vector i... | scientificcomputing/dolfinx-adjoint | src/dolfinx_adjoint/types/function.py | .py | 7174ed7b2a44ad3c | 7.56 | 12 |
import typing
from functools import singledispatchmethod
import dolfinx
import numpy
import numpy.typing as npt
import ufl
from ufl.corealg.dag_traverser import DAGTraverser
from .compat import extract_linear_combination
def function_from_vector(
V: dolfinx.fem.FunctionSpace,
vector: typing.Union[
d... | scientificcomputing/dolfinx-adjoint | src/dolfinx_adjoint/utils.py | .py | d9fd59b59e578e11 | 7.56 | 12 |
import typing
from mpi4py import MPI
import basix
import dolfinx
import numpy
import numpy as np
import pyadjoint
import pytest
import ufl
from dolfinx_adjoint import Constant, Function, assemble_scalar, assign
@pytest.fixture(scope="module")
def mesh_1D():
return dolfinx.mesh.create_unit_interval(MPI.COMM_WOR... | scientificcomputing/dolfinx-adjoint | tests/test_assign.py | .py | 1fae1f5eeeaa82e2 | 8.06 | 12 |
from mpi4py import MPI
import dolfinx
import numpy as np
import pyadjoint
import ufl
from pyadjoint.overloaded_type import Weakref
from dolfinx_adjoint import Function, LinearProblem, assemble_scalar, assign, dirichletbc
from dolfinx_adjoint.blocks.dirichletbc import DirichletBCBlock
def test_dirichletbc_recording(... | scientificcomputing/dolfinx-adjoint | tests/test_dirichlet_bc.py | .py | 110f58e89d6a587c | 8.06 | 12 |
import typing
from mpi4py import MPI
import dolfinx
import numpy as np
import pyadjoint
import pytest
import ufl
from dolfinx_adjoint import Function, assemble_scalar
from dolfinx_adjoint.solvers import LinearProblem
@pytest.fixture(scope="module")
def mesh_1D():
return dolfinx.mesh.create_unit_interval(MPI.CO... | scientificcomputing/dolfinx-adjoint | tests/test_linear_solver.py | .py | 5b19f2d986965c42 | 8.06 | 12 |
from mpi4py import MPI
import dolfinx
import numpy as np
import pyadjoint
import ufl
from dolfinx_adjoint import Function, assemble_scalar
from dolfinx_adjoint.solvers import NonlinearProblem
def test_sequential_nonlinear_problems():
"""
Test two cascaded non-linear PDEs.
PDE 1: -div(u1 * grad(u1)) = f
... | scientificcomputing/dolfinx-adjoint | tests/test_nonlinear_problem.py | .py | 88397aa65d1047a7 | 7.06 | 12 |
import typing
from mpi4py import MPI
import dolfinx.fem.petsc
import numpy as np
import numpy.typing as npt
import pyadjoint
import pytest
import ufl
from ufl.algorithms import expand_derivatives
from dolfinx_adjoint import Function, LinearProblem, NonlinearProblem, assemble_scalar
def convergence_rates(r, p):
... | scientificcomputing/dolfinx-adjoint | tests/test_poisson_mother.py | .py | c8dc32e47995fe6d | 8.06 | 12 |
"""Regression tests for the tangent-linear solver cached on ``LinearProblemBlock``.
``construct_tlm_solver`` compiles ``_compute_residual_derivative()`` once and caches the
resulting solver on the block. That form is built from ``block_variable.saved_output``,
which is a fresh object after every control update, so th... | scientificcomputing/dolfinx-adjoint | tests/test_tlm_update.py | .py | 4b554f3afcffcbdd | 8.06 | 12 |
"""
Defines the avaliable interfaces in the Free@Home System.
This is not a comprehensive list. To add new interfaces please open a GitHub issue:
https://github.com/kingsleyadam/local-abbfreeathome/issues
"""
import enum
class Interface(enum.Enum):
"""An Enum class for Free@Home interfaces."""
UNDEFINED = ... | kingsleyadam/local-abbfreeathome | src/abbfreeathome/bin/interface.py | .py | d1a95303adbd03e3 | 7.48 | 8 |
"""Free@Home AirQualitySensor Class."""
from typing import TYPE_CHECKING, Any
from ..bin.pairing import Pairing
from .base import Base
if TYPE_CHECKING:
from ..device import Device
class AirQualitySensor(Base):
"""Free@Home AirQualitySensor Class."""
_state_refresh_pairings: list[Pairing] = [
... | kingsleyadam/local-abbfreeathome | src/abbfreeathome/channels/air_quality_sensor.py | .py | cb361b319df10236 | 7.48 | 8 |
"""Free@Home Base Class."""
from collections.abc import Callable
import logging
from typing import TYPE_CHECKING, Any
from ..bin.pairing import Pairing
from ..bin.parameter import Parameter
from ..exceptions import (
InvalidDeviceChannelPairing,
InvalidDeviceChannelParameter,
UnknownCallbackAttributeExcep... | kingsleyadam/local-abbfreeathome | src/abbfreeathome/channels/base.py | .py | 5d9db5d46e718d5a | 7.48 | 8 |
"""Free@Home BlindSensor Class."""
import enum
from typing import TYPE_CHECKING, Any
from ..bin.pairing import Pairing
from .base import Base
if TYPE_CHECKING:
from ..device import Device
class BlindSensorState(enum.Enum):
"""An Enum class for the blind sensor state."""
unknown = None
step_up = "0... | kingsleyadam/local-abbfreeathome | src/abbfreeathome/channels/blind_sensor.py | .py | ff832d843438a2d7 | 7.48 | 8 |
"""Free@Home BrightnessSensor Class."""
from typing import TYPE_CHECKING, Any
from ..bin.pairing import Pairing
from .base import Base
if TYPE_CHECKING:
from ..device import Device
class BrightnessSensor(Base):
"""Free@Home BrightnessSensor Class."""
_state_refresh_pairings: list[Pairing] = [
... | kingsleyadam/local-abbfreeathome | src/abbfreeathome/channels/brightness_sensor.py | .py | 90c61848e6d268b4 | 7.48 | 8 |
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