text stringlengths 185 73.3k | repo stringlengths 7 100 | path stringlengths 4 146 | language stringclasses 7
values | hash stringlengths 16 16 | score float64 7 8.5 | stars int64 0 237k |
|---|---|---|---|---|---|---|
"""Rewrite a generated bk expression module as a redshift-monomial coefficient table.
Every term of the bispectrum factorises into a product of redshift scalars and a factor
built only from the triangle geometry and the power spectrum:
B = sum_m C_m(k1,k2,k3,ct,st,Pk...) * M_m(d,K,C,f,D1,b1,b2,g2,r,s)
C_m moves... | craddis1/CosmoWAP | src/cosmo_wap/bk/table/convert.py | .py | e9ecda910dbee41a | 7.59 | 14 |
"""Runtime for the redshift-monomial tables: cache the coefficients, contract per call.
The table path is deliberately hard to enter by accident. It runs only when
* COSMOWAP_BK_TABLE=1 is set, and
* a sampler has called set_version() to say which slow (cosmology) state is current.
Anything that does not registe... | craddis1/CosmoWAP | src/cosmo_wap/bk/table/runtime.py | .py | 03fcb122ab10ba54 | 7.59 | 14 |
"""
Base class for posterior analysis methods (Fisher matrices & MCMC samples).
Shared functionality for storing parameters and plotting with ChainConsumer.
"""
from __future__ import annotations
import warnings
from abc import ABC
from typing import TYPE_CHECKING, Any
import numpy as np
from chainconsumer import Ch... | craddis1/CosmoWAP | src/cosmo_wap/forecast/base_posterior.py | .py | 147eed7651a40ec2 | 7.59 | 14 |
"""
Holds the class that store fisher matrices - then contains a bunch of routines for plotting and analysing (they are computed in forecast.py)
"""
import warnings
import numpy as np
from matplotlib import pyplot as plt
from scipy import stats
from cosmo_wap.lib.utils import solve_preconditioned
from .base_poster... | craddis1/CosmoWAP | src/cosmo_wap/forecast/fisher.py | .py | be6207ae82896d95 | 7.59 | 14 |
"""
Batch processing of Fisher matrices across survey cuts and splits.
"""
import copy
from pathlib import Path
import matplotlib.colors as mcolors
import numpy as np
from matplotlib import pyplot as plt
from .base_posterior import BasePosterior
class FisherList(BasePosterior):
"""
Class to store and handl... | craddis1/CosmoWAP | src/cosmo_wap/forecast/fisher_list.py | .py | 90ef4a3f807996cd | 7.59 | 14 |
"""
Adapted from URLExtract - https://github.com/lipoja/URLExtract
Originally created by Jan Lipovský <janlipovsky@gmail.com>, janlipovsky.cz
"""
import re
import string
from collections import OrderedDict
from collections.abc import Generator
from urllib.parse import ParseResult, urlparse
class URLExtract:
# co... | natecohen/microsoft-ips | urlextract.py | .py | fa75e2eeeef5099d | 7.59 | 14 |
"""
On inbound SMS (MO), send a reply (MT) to the same number: "Your message said: <text>".
Uses channel identity (SMS + phone number) only; app is in DISPATCH mode.
"""
from sinch.domains.conversation.models.v1.sinch_events import MessageInboundEvent
def handle_conversation_event(event, logger, sinch_client):
"... | sinch/sinch-sdk-python | examples/getting-started/conversation/send_handle_incoming_sms/server_business_logic.py | .py | b2e237fce715e0ee | 7.48 | 8 |
from sinch.domains.conversation.models.v1.sinch_events import (
ConversationSinchEventBase,
MessageDeliveryReceiptEvent,
MessageInboundEvent,
MessageSubmitEvent,
)
def handle_conversation_event(event: ConversationSinchEventBase, logger):
"""
Dispatch a Conversation Sinch Event to the appropria... | sinch/sinch-sdk-python | examples/sinch_events/conversation_api/server_business_logic.py | .py | 09ece290c975a917 | 7.48 | 8 |
from pathlib import Path
from sinch import SinchClient
from dotenv import dotenv_values
def load_config() -> dict[str, str]:
"""
Load configuration from the .env file in the sinch_events directory.
Returns:
dict[str, str]: Dictionary containing configuration values
"""
# Get the directory... | sinch/sinch-sdk-python | examples/sinch_events/sinch_client_helper.py | .py | ff83e326fb49f615 | 7.48 | 8 |
"""Example: Using Amplitude Quality Coach for Threshold Tuning.
This example demonstrates how to use the amplitude quality coaching feature
to understand data quality, identify problematic channels, and tune voltage
thresholds appropriately for artifact rejection.
The amplitude quality coach provides interpretable di... | cincibrainlab/autocleaneeg_pipeline | examples/amplitude_quality_coach_example.py | .py | d5317b956a2a787a | 7.45 | 7 |
#!/usr/bin/env python3
"""Example: Custom ML-Based Artifact Detection Plugin
This example demonstrates the CORRECT use of the plugin system:
- Extends pipeline functionality (doesn't duplicate existing mixins)
- Imports helper functions from pipeline (zero code duplication)
- Provides new capability not available in c... | cincibrainlab/autocleaneeg_pipeline | examples/custom_artifact_detector_plugin.py | .py | 7cb08cce421e34e9 | 7.45 | 7 |
"""Example: Using Event Discovery Helper for EEG Epoching Configuration.
This example demonstrates how to use the print_discovered_events() method
to understand what events are available in your EEG data and configure
your epoching parameters correctly.
The event discovery feature helps solve the common problem where... | cincibrainlab/autocleaneeg_pipeline | examples/event_discovery_example.py | .py | 591dff1958230294 | 7.45 | 7 |
#!/usr/bin/env python3
"""Example demonstrating ICA sources caching for improved performance.
This example shows how the new caching system dramatically improves performance
when generating multiple ICA reports by avoiding redundant source computations.
"""
import time
import numpy as np
import mne
from mne.preproces... | cincibrainlab/autocleaneeg_pipeline | examples/ica_caching_example.py | .py | 481113d2a41b0d95 | 7.45 | 7 |
#!/usr/bin/env python3
"""
Local code quality checker for AutoClean EEG Pipeline using uv tool.
This script runs the same code quality checks that are performed in CI,
allowing developers to fix issues locally before committing. Uses uv tool run
for isolated tool execution without installation conflicts.
"""
import a... | cincibrainlab/autocleaneeg_pipeline | scripts/check_code_quality.py | .py | 9f11850390169f65 | 7.45 | 7 |
#!/usr/bin/env python3
"""
Install development tools for AutoClean EEG Pipeline using uv tool.
This script installs all the code quality tools needed for local development
using uv tool for isolated tool management. Each tool runs in its own environment
to prevent dependency conflicts.
"""
import shutil
import subpro... | cincibrainlab/autocleaneeg_pipeline | scripts/install_dev_tools.py | .py | 0977ca9afb3da370 | 7.45 | 7 |
#!/usr/bin/env python3
"""Run pytest with early warning filters for noisy third-party imports."""
from __future__ import annotations
import sys
import warnings
def _install_warning_filters() -> None:
try:
from pyparsing.warnings import PyparsingDeprecationWarning
except Exception:
return
... | cincibrainlab/autocleaneeg_pipeline | scripts/run_pytest.py | .py | 4401a78d4872fe9b | 7.95 | 7 |
#!/usr/bin/env python3
"""
UV tool management script for AutoClean EEG Pipeline.
This script provides easy management of development tools using uv tool,
including installation, upgrading, and listing of tools.
"""
import argparse
import shutil
import subprocess
import sys
from typing import List, Tuple
def run_uv_... | cincibrainlab/autocleaneeg_pipeline | scripts/uv_tools.py | .py | a568c65f58065e9c | 7.45 | 7 |
"""WebSocket event broadcasting for live updates."""
from __future__ import annotations
import asyncio
from datetime import datetime, timezone
from typing import Any, Optional, Set
from fastapi import APIRouter, WebSocket, WebSocketDisconnect
from autoclean.api.models import Event, EventType
router = APIRouter()
... | cincibrainlab/autocleaneeg_pipeline | src/autoclean/api/events.py | .py | 86bb3e2221c5c48c | 7.45 | 7 |
"""Pydantic models for API request/response schemas."""
from __future__ import annotations
from enum import Enum
from typing import Any, Optional
from pydantic import BaseModel, ConfigDict, Field
class QueueStatus(str, Enum):
"""Queue entry status.
- pending: File discovered, waiting to be processed
-... | cincibrainlab/autocleaneeg_pipeline | src/autoclean/api/models.py | .py | 11ff2b29e2755e7f | 7.45 | 7 |
"""Single-file event analyzer.
Mirrors the CLI `events discover` and `events analyze` commands.
Loads a raw EEG file with MNE, extracts events, and returns the same
EventsResponse format used by the Results Events tab.
"""
import asyncio
import logging
import statistics
from collections import Counter
from pathlib im... | cincibrainlab/autocleaneeg_pipeline | src/autoclean/api/routes/event_analyzer.py | .py | 0b20692a5f1fe676 | 7.45 | 7 |
"""Queue management API routes."""
from __future__ import annotations
from typing import Optional
from fastapi import APIRouter, HTTPException, Query
from autoclean.api.models import (
ClearResponse,
EnqueueRequest,
EnqueueResponse,
QueueEntriesResponse,
QueueEntry,
QueueStats,
QueueStat... | cincibrainlab/autocleaneeg_pipeline | src/autoclean/api/routes/queue.py | .py | 1284493cdcd6b7e2 | 7.45 | 7 |
"""Tutorial setup and cleanup endpoints.
Provides a guided onboarding experience by generating synthetic EEG data
and setting up a sample processing route.
"""
from __future__ import annotations
import asyncio
import logging
import shutil
from pathlib import Path
from typing import Any
from fastapi import APIRouter... | cincibrainlab/autocleaneeg_pipeline | src/autoclean/api/routes/tutorial.py | .py | ed9af1aeff014855 | 7.45 | 7 |
"""API state management - separate module to avoid circular imports."""
from __future__ import annotations
from pathlib import Path
from typing import Any, Optional
from fastapi import HTTPException
class APIState:
"""Global API state container."""
def __init__(self) -> None:
self.workspace_dir: O... | cincibrainlab/autocleaneeg_pipeline | src/autoclean/api/state.py | .py | 7e9c1cd638c63760 | 7.45 | 7 |
"""Helpers for the bundled MATLAB FOOOF block."""
from __future__ import annotations
import json
from pathlib import Path
from typing import Any
DEFAULT_FOOOF_FREQS = (1.0, 55.0)
DEFAULT_ARTIFACTS_SUBDIR = "matlab/fooof"
def resolve_matlab_fooof_context(
task_config: dict[str, Any],
step_params: dict[str, ... | cincibrainlab/autocleaneeg_pipeline | src/autoclean/blocks/analysis/matlab_fooof/algorithm.py | .py | 19a10d8f1da29de4 | 7.45 | 7 |
"""Source-level functional connectivity and graph theory algorithms.
This module contains scientifically validated functions for calculating functional
connectivity between brain regions from source-localized EEG data and computing graph
theory metrics to characterize brain network properties.
These functions are EXA... | cincibrainlab/autocleaneeg_pipeline | src/autoclean/blocks/analysis/source_connectivity/algorithm.py | .py | 0c53e6ef82dbad19 | 7.45 | 7 |
"""Source connectivity mixin for autoclean tasks.
This module provides functionality for calculating functional connectivity between
brain regions from source-localized EEG data and computing graph theory metrics.
The SourceConnectivityMixin class implements methods for computing connectivity
using multiple methods (... | cincibrainlab/autocleaneeg_pipeline | src/autoclean/blocks/analysis/source_connectivity/mixin.py | .py | 427e90403dbe0ee1 | 7.45 | 7 |
"""User-facing caveats for template-based EEG source localization."""
from __future__ import annotations
from pathlib import Path
from typing import Any
SOURCE_LOCALIZATION_UNITS = "native_source_units"
SOURCE_LOCALIZATION_TEMPLATE = "fsaverage"
SOURCE_LOCALIZATION_ATLAS = "Desikan-Killiany (aparc), 68 ROI channels"... | cincibrainlab/autocleaneeg_pipeline | src/autoclean/blocks/analysis/source_localization/caveats.py | .py | 53281e34352404e2 | 7.45 | 7 |
"""Source localization mixin using autocleaneeg-eeg2source package.
This mixin provides a seamless interface to the autocleaneeg-eeg2source PyPI package
for EEG source localization. All processing is delegated to the standalone package,
ensuring consistent results and easier maintenance.
The mixin always outputs 68-c... | cincibrainlab/autocleaneeg_pipeline | src/autoclean/blocks/analysis/source_localization/mixin.py | .py | 75b6d1fda9a1a2d5 | 7.45 | 7 |
"""Source PSD mixin for autoclean tasks.
This module provides functionality for calculating power spectral density (PSD) from
source-localized EEG data with region-of-interest (ROI) averaging using the
Desikan-Killiany atlas.
The SourcePSDMixin class implements methods for computing PSD from source estimates
(STCs) p... | cincibrainlab/autocleaneeg_pipeline | src/autoclean/blocks/analysis/source_psd/mixin.py | .py | 374947f06ec36d17 | 7.45 | 7 |
"""AutoReject epochs cleaning mixin for autoclean tasks.
This module provides functionality for cleaning epochs using AutoReject, a machine
learning-based method for automatic artifact rejection in EEG data. AutoReject
automatically identifies and removes bad epochs and interpolates bad channels
within epochs.
The Au... | cincibrainlab/autocleaneeg_pipeline | src/autoclean/blocks/signal_processing/autoreject/mixin.py | .py | 75f50555e33bbdc4 | 7.45 | 7 |
"""
Calculates CH4 response
"""
import logging
import numpy as np
from scipy.interpolate import interp1d
from scipy.integrate import solve_ivp
from .construct_conc import interp_bg_conc
from .calc_co2 import N2O_0
# CONSTANTS
TAU_GLOBAL = 8.0
CH4_0 = 731.41 # pre-industrial CH4 concentration [ppb] used as reference
... | dlr-pa/oac | openairclim/core/calc_ch4.py | .py | ce4c697270942376 | 7.63 | 17 |
"""
Calculates temperature changes for each species and scenario
"""
import logging
import numpy as np
# CONSTANTS
#
# from Boucher & Reddy (2008)
# https://doi.org/10.1016/j.enpol.2007.08.039
C_ARR = [0.631, 0.429] # in K / (W m-2)
D_ARR = [8.4, 409.5] # in years
def calc_dtemp(config, spec, rf_dict):
"""
... | dlr-pa/oac | openairclim/core/calc_dt.py | .py | 3d60614ea270d2e7 | 7.63 | 17 |
"""
Calculates climate metric for each species and scenario
"""
import numpy as np
from .read_netcdf import get_results
def calc_climate_metrics(config: dict) -> dict:
"""Get all combinations of required climate metrics
Args:
config (dict): Configuration from config file
Returns:
dict: ... | dlr-pa/oac | openairclim/core/calc_metric.py | .py | 6ea66140a30aa72f | 7.63 | 17 |
"""
Calculates responses for each species and scenario
"""
import logging
import numpy as np
from .interpolate_space import calc_weights
from .calc_swv import calc_swv_rf, calc_swv_mass_conc
from .calc_ch4 import calc_pmo_rf
from .config_model import OUT_TO_INV_REQUIRED
# CONSTANTS
#
# CORRECTION (normalization) fac... | dlr-pa/oac | openairclim/core/calc_response.py | .py | d12dded922aa630b | 7.63 | 17 |
"""
Constructs concentrations
"""
from pathlib import Path
import numpy as np
import xarray as xr
from .interpolate_time import interp_linear
from .utils import convert_units
def get_emissions(inv_dict, species):
"""Get total emissions in Tg for each inventory and given species
Args:
species (str): ... | dlr-pa/oac | openairclim/core/construct_conc.py | .py | 9cfbbb16daf36887 | 7.63 | 17 |
"""
Interpolation and Regridding methods in the space domain
"""
# TODO Check if one of these python packages are more suitable/flexible
# for example geocat, see https://geocat-comp.readthedocs.io/en/stable/
# for pressure level interpolations geocat.comp.interpolation.interp_hybrid_to_pressure
# maybe this is a more... | dlr-pa/oac | openairclim/core/interpolate_space.py | .py | 36adb6d996d4b0c3 | 7.63 | 17 |
"""
Parametric scenario: Adapt emissions of CO2 and RF of other species.
Post-processing approach after:
MSc thesis: Saleh Walie, Mitigation of aviation's climate impact:
a scenario-based parametric study in OpenAirClim, UC3M, 2025
Refactoring and integration of code by Stefan Völk.
"""
import logging
# Default v... | dlr-pa/oac | openairclim/core/parametric.py | .py | 36485fe8cab73f53 | 7.63 | 17 |
"""
Plot routines for the OpenAirClim framework
"""
import re
from pathlib import Path
import matplotlib.pyplot as plt
# %config InlineBackend.figure_format='retina'
BINS = 50
def plot_inventory_vertical_profiles(inv_dict):
"""Plots vertical emission profiles of dictionary of inventories
Args:
inv... | dlr-pa/oac | openairclim/core/plot.py | .py | dc1a7d93bd811e01 | 7.63 | 17 |
"""
Reads a config file, checks that it is complete and correct, and creates the
output directory.
Configuration checking runs in two layers, split across two modules:
- **Structural validation** (:mod:`openairclim.core.config_model`) — types,
required/optional keys, valid option strings, and defaults, enforced by ... | dlr-pa/oac | openairclim/core/read_config.py | .py | 1db6476e669e14a2 | 7.63 | 17 |
"""
Methods for reading netCDF input
"""
from pathlib import Path
import logging
import numpy as np
import xarray as xr
from .utils import quantity, UREG, convert_mass_or_annual_rate
# CONSTANTS
# expected physical dimension of each inventory species' units; species not
# listed here default to mass.
INV_SPEC_DIMENSI... | dlr-pa/oac | openairclim/core/read_netcdf.py | .py | 2e848e280b2041d5 | 7.63 | 17 |
"""
Utility functions used over the entire framework
"""
import re
from pathlib import Path
import numpy as np
import pint
UREG: pint.UnitRegistry = pint.UnitRegistry()
def find_basenames(path_lst):
"""Find basenames of a list of paths
Args:
path_arr (list): List of paths
Returns:
list... | dlr-pa/oac | openairclim/core/utils.py | .py | 667382bb415519af | 7.63 | 17 |
"""
Configure the OpenAirClim GUI.
"""
def launch(
config_path=None, results_path=None, show=True, port=5006, theme="default"
):
"""Launch the OpenAirClim GUI in the browser.
Args:
config_path (str or Path, optional): Path to an existing config file to
load on startup. Defaults to None... | dlr-pa/oac | openairclim/gui/__init__.py | .py | 10e085d8d4339869 | 7.63 | 17 |
"""Assemble the OpenAirClim GUI application."""
from pathlib import Path
import panel as pn
from . import sidebar
from .state import AppState
from .tabs import aircraft, config, config_text, results, scenario, inventories
def _wire_config_expert_dirty_notification(tabs, state, expert_index):
"""Warn the user a... | dlr-pa/oac | openairclim/gui/app.py | .py | d6694318a20eec91 | 7.63 | 17 |
"""Helpers for driving GUI widgets off core.config_model's pydantic schema.
"""
import types
from typing import Literal, Union, get_args, get_origin, cast
from pydantic import BaseModel
from ...core.config_model import Config
def _unwrap_optional(annotation):
"""Strip an `Optional[...]`/`X | None` wrapper off a... | dlr-pa/oac | openairclim/gui/components/schema.py | .py | 7ae3071f2a2c1926 | 7.63 | 17 |
"""Provides utility functions for the OpenAirClim GUI."""
from pathlib import Path
# define unicode superscripts, rather than using math mode
_SUPERSCRIPTS = str.maketrans(
"0123456789-",
"\u2070\u00b9\u00b2\u00b3\u2074\u2075\u2076\u2077\u2078\u2079\u207b"
)
# visual style
COLORS = [
"#2271B2", "#3DB7E9... | dlr-pa/oac | openairclim/gui/components/utils.py | .py | 8915892be41dc82d | 7.63 | 17 |
"""Shared reactive application state.
All tabs read from and write to a single ``AppState`` instance,
which keeps them loosely coupled while sharing data like the
validated configuration dictionary and file paths.
"""
import param
class AppState(param.Parameterized):
"""Observable application state shared acros... | dlr-pa/oac | openairclim/gui/state.py | .py | 2f7cef857e3d8700 | 7.63 | 17 |
"""Config (Expert) tab: view and hand-edit the config as raw TOML text.
Deliberately does *not* stay in sync with other tabs while the user is
typing. The text box is only rebuilt when `state.config_generation`
changes (a fresh config was loaded/created, or loaded from this tab's
own "Apply to Config" button), matchin... | dlr-pa/oac | openairclim/gui/tabs/config_text.py | .py | b0f96d2406911cac | 7.63 | 17 |
"""Shared fixtures for the whole test suite. The core purpose is to
centralise a single valid configuration dict that can be read by pytest
functionality in tests/core and tests/gui. All paths are relative to
`tests/core` since core tests with that as its cwd. GUI tests use their own
`working_dir` fixture, which also r... | dlr-pa/oac | tests/conftest.py | .py | 5a9821c1235e827b | 8.13 | 17 |
"""
Provides tests for module attribution
"""
from typing import Literal
import numpy as np
import pytest
from openairclim.core import attribution as att
def _func_factory(
mode: Literal["constant", "linear", "affine"] = "linear",
*,
scale: float = 1.0,
value: float = 1.0,
offset: float = 0.0,
):... | dlr-pa/oac | tests/core/attribution_test.py | .py | 11664dfa177be553 | 7.13 | 17 |
"""
Provides tests for module calc_ch4
"""
import numpy as np
import xarray as xr
import pytest
from openairclim.core import calc_ch4
class TestCalcCh4Rf:
"""Tests function calc_ch4_rf(config, conc_dict, conc_ch4_bg_dict, conc_no2_bg_dict)"""
def test_invalid_method(self):
"""Invalid method returns ... | dlr-pa/oac | tests/core/calc_ch4_test.py | .py | 31bc186498f8733a | 8.13 | 17 |
#
# Copyright (c) 2023 Project CHIP Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | project-chip/matter-test-scripts | onboarding_payload_test_suite/onboarding_script_support.py | .py | 3e87343ed25ebd93 | 7.15 | 19 |
#
# Copyright (c) 2023 Project CHIP Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | project-chip/matter-test-scripts | onboarding_payload_test_suite/tcdd11/tcdd11.py | .py | 7385410585d0d964 | 7.15 | 19 |
#
# Copyright (c) 2025 Project CHIP Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | project-chip/matter-test-scripts | onboarding_payload_test_suite/tcdd12/tcdd12.py | .py | 05acf78e2261e85c | 7.15 | 19 |
#
# Copyright (c) 2023 Project CHIP Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | project-chip/matter-test-scripts | onboarding_payload_test_suite/tcdd13/tcdd13.py | .py | 09c28b62f8bc17a4 | 7.15 | 19 |
#
# Copyright (c) 2023 Project CHIP Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | project-chip/matter-test-scripts | onboarding_payload_test_suite/tcdd14/tcdd14.py | .py | e8160bdebd9be3d2 | 7.15 | 19 |
"""Tesy button component."""
from __future__ import annotations
from homeassistant.components.button import ButtonEntity, ButtonEntityDescription
from homeassistant.config_entries import ConfigEntry
from homeassistant.core import HomeAssistant
from homeassistant.exceptions import HomeAssistantError
from homeassistant... | krasnoukhov/homeassistant-tesy | custom_components/tesy/button.py | .py | 35fb5e9effe90b67 | 7.66 | 20 |
"""Config flow for Tesy integration."""
from __future__ import annotations
import logging
from typing import Any
import voluptuous as vol
from homeassistant import config_entries
from homeassistant.core import HomeAssistant
from homeassistant.data_entry_flow import AbortFlow
import homeassistant.helpers.config_vali... | krasnoukhov/homeassistant-tesy | custom_components/tesy/config_flow.py | .py | d421c04f49595ba1 | 7.66 | 20 |
"""DataUpdateCoordinator for the Tesy integration."""
from __future__ import annotations
from datetime import timedelta
from typing import Any
from homeassistant.core import HomeAssistant
from homeassistant.helpers.update_coordinator import DataUpdateCoordinator, UpdateFailed
from .tesy import Tesy
from .tesy_oldap... | krasnoukhov/homeassistant-tesy | custom_components/tesy/coordinator.py | .py | b615e5eebb80eeea | 7.66 | 20 |
"""Base entity for the Tesy integration."""
from __future__ import annotations
from homeassistant.config_entries import ConfigEntry
from homeassistant.core import HomeAssistant
from homeassistant.helpers.device_registry import DeviceInfo
from homeassistant.helpers.entity import EntityDescription
from homeassistant.he... | krasnoukhov/homeassistant-tesy | custom_components/tesy/entity.py | .py | 010b3e4d33898fc1 | 7.66 | 20 |
"""Tesy switch component."""
from __future__ import annotations
from homeassistant.components.switch import (
SwitchEntity,
SwitchDeviceClass,
SwitchEntityDescription,
)
from homeassistant.config_entries import ConfigEntry
from homeassistant.core import HomeAssistant
from homeassistant.helpers.entity_pla... | krasnoukhov/homeassistant-tesy | custom_components/tesy/switch.py | .py | caf5b0bb8b010196 | 7.66 | 20 |
"""Tesy integration."""
from __future__ import annotations
import logging
from typing import Any
from urllib.parse import urlparse, urlencode
import requests
from .const import (
ATTR_POWER,
ATTR_TARGET_TEMP,
ATTR_BOOST,
ATTR_MODE,
ATTR_CHILD_LOCK,
ATTR_API,
ATTR_ENERGY_RESETTABLE,
H... | krasnoukhov/homeassistant-tesy | custom_components/tesy/tesy.py | .py | f5c59c25bb4b9b70 | 7.66 | 20 |
"""Tesy integration."""
from __future__ import annotations
import logging
import time
from typing import Any
from urllib.parse import urlparse, urlencode
import requests
from .const import *
_LOGGER = logging.getLogger(__name__)
class TesyOldApi:
"""Tesy Old API instance."""
def __init__(self, data: dic... | krasnoukhov/homeassistant-tesy | custom_components/tesy/tesy_oldapi.py | .py | afcd80e30b789d08 | 7.66 | 20 |
"""Tesy water heater component."""
from typing import Any
from custom_components.tesy.coordinator import TesyCoordinator
from homeassistant.components.water_heater import (
STATE_ECO,
STATE_PERFORMANCE,
WaterHeaterEntity,
WaterHeaterEntityDescription,
WaterHeaterEntityFeature,
)
from homeassistant... | krasnoukhov/homeassistant-tesy | custom_components/tesy/water_heater.py | .py | baa73cc4dfe6f9a7 | 7.66 | 20 |
"""Tests for the Tesy old API client."""
from importlib.util import module_from_spec, spec_from_file_location
from pathlib import Path
import sys
import time
from types import ModuleType
from unittest import TestCase
from unittest.mock import Mock
def load_old_api_module():
"""Load the old API module without req... | krasnoukhov/homeassistant-tesy | tests/test_tesy_oldapi.py | .py | 3bd5e81bc64ba892 | 8.16 | 20 |
import pandas as pd
import os
import ast
from datetime import datetime
import warnings
class HistoricDataComparer:
'''
A class to compare newly scraped data against a historical record set to identify novel entries.
Attributes:
historic_ids (set): Set of unique identifiers from previously observe... | lorae/roundup | src/data_comparer.py | .py | c61976ecdf30fa5b | 7.52 | 10 |
import os
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from w... | lorae/roundup | src/scraper/external_requests.py | .py | 3b0b4f586bb55d96 | 7.52 | 10 |
from abc import ABC, abstractmethod
import pandas as pd
class GenericScraper(ABC):
def __init__(self, source):
'''
Initialize the GenericScraper with a source identifier.
:param source: Identifier for the source of the data being scraped.
:type source: str
'''
self.... | lorae/roundup | src/scraper/generic_scraper.py | .py | b7f0e9d5d32468ac | 7.52 | 10 |
from src.scraper.external_requests import request_soup
from ..generic_scraper import GenericScraper
import requests
class BEAScraper(GenericScraper):
def __init__(self):
super().__init__(source = 'BEA')
# Define headers once and use them throughout the class
self.headers = {
... | lorae/roundup | src/scraper/sites/bea_scraper.py | .py | aa4f3417a15df5e1 | 7.52 | 10 |
from src.scraper.external_requests import request_soup
from ..generic_scraper import GenericScraper
import requests
from bs4 import BeautifulSoup
class BFIScraper(GenericScraper):
def __init__(self):
super().__init__(source = 'BFI')
# Define headers once and use them throughout the class
se... | lorae/roundup | src/scraper/sites/bfi_scraper.py | .py | bbfdb22615ec055f | 7.52 | 10 |
import feedparser
from ..generic_scraper import GenericScraper
class BISScraper(GenericScraper):
def __init__(self):
super().__init__(source = "BIS")
# Public method which is called from outside the class.
def fetch_data(self):
'''
Requests and parses the source's main RSS feed usi... | lorae/roundup | src/scraper/sites/bis_scraper.py | .py | 7ac7f917f0481612 | 7.52 | 10 |
from src.scraper.external_requests import selenium_soup
from ..generic_scraper import GenericScraper
class ECBScraper(GenericScraper):
def __init__(self):
super().__init__(source = 'ECB')
# Public method which is called from outside the class.
def fetch_data(self):
# TODO: Store data i... | lorae/roundup | src/scraper/sites/ecb_scraper.py | .py | ed2b90e4c10d9fc5 | 7.52 | 10 |
from ..generic_scraper import GenericScraper
import feedparser
import calendar
class FedAtlantaScraper(GenericScraper):
def __init__(self):
super().__init__(source = 'FED-ATLANTA')
# Public method which is called from outside the class.
def fetch_data(self):
'''
Requests and parses... | lorae/roundup | src/scraper/sites/fed_atlanta_scraper.py | .py | 4043ee2aaef331d4 | 7.52 | 10 |
from src.scraper.external_requests import request_soup
from ..generic_scraper import GenericScraper
from datetime import datetime
import requests
class FedBoardNotesScraper(GenericScraper):
def __init__(self):
super().__init__(source = 'FED-BOARD-NOTES')
# Define headers once and use them throughou... | lorae/roundup | src/scraper/sites/fed_board_notes_scraper.py | .py | 2c3ff53744e791d2 | 7.52 | 10 |
from ..generic_scraper import GenericScraper
from src.scraper.external_requests import request_soup
import requests
class FedBoardScraper(GenericScraper):
def __init__(self):
super().__init__(source = 'FED-BOARD')
# Define headers once and use them throughout the class
self.headers = {
... | lorae/roundup | src/scraper/sites/fed_board_scraper.py | .py | ed556591fd5612f6 | 7.52 | 10 |
from ..generic_scraper import GenericScraper
from src.scraper.external_requests import request_soup
import requests
class FedChicagoScraper(GenericScraper):
def __init__(self):
super().__init__(source = "FED-CHICAGO")
# Define headers once and use them throughout the class
self.headers = {
... | lorae/roundup | src/scraper/sites/fed_chicago_scraper.py | .py | a30d458565f5c1ea | 7.52 | 10 |
from ..generic_scraper import GenericScraper
from src.scraper.external_requests import selenium_soup
class FedClevelandScraper(GenericScraper):
def __init__(self):
super().__init__(source = 'FED-CLEVELAND')
# Public method which is called from outside the class.
def fetch_data(self):
'''
... | lorae/roundup | src/scraper/sites/fed_cleveland_scraper.py | .py | 000e080d82fb7a9c | 7.52 | 10 |
from ..generic_scraper import GenericScraper
from src.scraper.external_requests import request_soup
import requests
import re
import PyPDF2
import io
from datetime import datetime
class FedDallasScraper(GenericScraper):
def __init__(self):
super().__init__(source = 'FED-DALLAS')
# Define headers on... | lorae/roundup | src/scraper/sites/fed_dallas_scraper.py | .py | 05283b7da35efaf5 | 7.52 | 10 |
from ..generic_scraper import GenericScraper
from src.scraper.external_requests import request_soup
import requests
import re
class FedMinneapolisScraper(GenericScraper):
# TODO: Check if this source has an API that can be scraped
def __init__(self):
super().__init__(source = 'FED-MINNEAPOLIS')
... | lorae/roundup | src/scraper/sites/fed_minneapolis_scraper.py | .py | a80bc1c9440dd239 | 7.52 | 10 |
"""
Generate a yaml template with coments from omnibenchmark models.
It's important to note that the output of this script is intended to be used as
a starting point for creating a benchmark configuration file,
but it's only informative, not normative - the pydantic validations are the
ultimate source of truth.
The g... | omnibenchmark/omnibenchmark | docs/templategen.py | .py | 213b350938968984 | 7.64 | 18 |
"""
Main archive implementation for creating benchmark archives.
This module provides the core archiving functionality that can work with or
without remote storage, separated from the remote storage module to avoid
circular dependencies and architectural confusion.
"""
import tarfile
import zipfile
from pathlib impor... | omnibenchmark/omnibenchmark | omnibenchmark/archive/archive.py | .py | 2687ddca8c0dfc96 | 7.64 | 18 |
"""
Archive components handling for different parts of a benchmark.
This module provides functions to prepare different components of a benchmark
for archiving: configuration, code, software environments, and results.
Each component can be included or excluded independently.
"""
import os
from pathlib import Path
fro... | omnibenchmark/omnibenchmark | omnibenchmark/archive/components.py | .py | 95627085bcb3fa8c | 7.64 | 18 |
"""
Metric collector resolution module.
This module handles the conversion of MetricCollector entities into regular
ResolvedNode instances, allowing them to be processed through the standard
pipeline instead of requiring special treatment.
Design Philosophy:
- Metric collectors are conceptually just modules that aggr... | omnibenchmark/omnibenchmark | omnibenchmark/backend/_metric_collector.py | .py | 2c5dce0deafd7a82 | 7.64 | 18 |
"""CLI commands for collecting metrics from a benchmark output folder.
The ``collect`` group gathers post-hoc artefacts that are scattered across the
output tree into a single combined table. Right now it knows how to gather the
Snakemake ``performance.txt`` benchmark files emitted for every executed node;
the resulti... | omnibenchmark/omnibenchmark | omnibenchmark/cli/collect.py | .py | 20dbb0808d43cb72 | 7.64 | 18 |
from functools import wraps
from typing import TypeVar, Union, cast
import click
from omnibenchmark.logging import configure_logging
T = TypeVar("T", bound=Union[click.Command, click.Group])
def add_debug_option(cmd: T) -> T:
"""Decorator to add debug option to commands and groups"""
if isinstance(cmd, cli... | omnibenchmark/omnibenchmark | omnibenchmark/cli/debug.py | .py | 7d356067087f842e | 7.64 | 18 |
"""cli commands related to benchmark infos and stats"""
import sys
from typing import Any, List
import click
import json
from jinja2 import Environment, FileSystemLoader
from pathlib import Path
from omnibenchmark.core.status.status import prepare_status, print_exec_path_dict
from omnibenchmark.core import Benchmar... | omnibenchmark/omnibenchmark | omnibenchmark/cli/describe.py | .py | e3eac0eb1aa09114 | 7.64 | 18 |
"""omnibenchmark CLI"""
import click
from omnibenchmark import __version__
from omnibenchmark.cli.archive import archive
from omnibenchmark.cli.cite import cite
from omnibenchmark.cli.collect import collect
from omnibenchmark.cli.create import create
from omnibenchmark.cli.dashboard import dashboard
from omnibenchmar... | omnibenchmark/omnibenchmark | omnibenchmark/cli/main.py | .py | 635c169678dabdb8 | 7.64 | 18 |
"""CLI commands for validation of benchmarks and modules."""
import re
import warnings
from pathlib import Path
from typing import Optional
import click
import yaml
from pydantic import ValidationError as PydanticValidationError
from omnibenchmark.core.metadata import (
ValidationException,
ValidationSeverit... | omnibenchmark/omnibenchmark | omnibenchmark/cli/validate.py | .py | 91ba8c41cd81c3b3 | 7.64 | 18 |
"""Configuration to set up a local cache and a datadir for test data download"""
# TODO: make sure this is in use
import configparser
import getpass
import os
import platform
import tempfile
from typing import Optional, Any
from pathlib import Path
APP_NAME = "omnibenchmark"
_home = os.path.expanduser("~")
xdg_co... | omnibenchmark/omnibenchmark | omnibenchmark/config.py | .py | 7251b065d559b606 | 7.64 | 18 |
"""DAG Builder for Benchmark execution.
This module provides the DAGBuilder class which constructs the computational
directed acyclic graph (DAG) from a benchmark model.
"""
from pathlib import Path
from typing import Dict, List, Optional
from omnibenchmark.dag import DiGraph
from omnibenchmark.model import Benchmar... | omnibenchmark/omnibenchmark | omnibenchmark/core/_dag_builder.py | .py | b8533a9a803ec5eb | 7.64 | 18 |
"""Pure lineage/selection helpers over resolved nodes.
These operate on the ``parent_id`` chain of resolved nodes (see
``model.resolved.ResolvedNode``) and back the stage-expansion loop in
``cli/run.py``. Kept out of the CLI layer because they are pure and unit-tested
in isolation.
"""
def select_input_nodes(
de... | omnibenchmark/omnibenchmark | omnibenchmark/core/_lineage.py | .py | c8510ef8ec80e274 | 7.64 | 18 |
"""Mermaid diagram generation utilities for omnibenchmark."""
from typing import Dict, List
from omnibenchmark.model import Benchmark as BenchmarkModel
from omnibenchmark.model.benchmark import Parameter
from omnibenchmark.core._graph import upstream_stage_ids
from omnibenchmark.model.params import Params
def _quote... | omnibenchmark/omnibenchmark | omnibenchmark/core/_mermaid.py | .py | 18cb97ee0da02c5f | 7.64 | 18 |
"""Path construction utilities for omnibenchmark workflows."""
import hashlib
import re
from pathlib import PurePosixPath, Path
from typing import List, Dict, Set, Optional
# Per-component limit on most modern filesystems (ext4, xfs, apfs, ntfs).
MAX_FILENAME_LEN = 255
# Cap on what we treat as a "compound extension... | omnibenchmark/omnibenchmark | omnibenchmark/core/_paths.py | .py | 6007e3f38451bb57 | 7.64 | 18 |
"""Citation metadata extraction from benchmark modules."""
import logging
import yaml
from typing import Dict, Optional, Any, List
from omnibenchmark.core.execution import BenchmarkExecution
from omnibenchmark.core.repository_utils import (
RepositoryManager,
get_module_repository_info,
resolve_module_rep... | omnibenchmark/omnibenchmark | omnibenchmark/core/cite.py | .py | 90cc050a8e4c5c06 | 7.64 | 18 |
import math
from typing import Dict, List, Any
# Always available - no longer requires pandas
EXPORT_AVAILABLE = True
# Performance metrics configuration
PERFORMANCE_METRICS = {
"s": {"class": "time", "flip": True, "transform": "[0,1]"},
"max_rss": {"class": "memory", "flip": True, "transform": "[0,1]"},
... | omnibenchmark/omnibenchmark | omnibenchmark/core/dashboard.py | .py | 1efcfca51836704f | 7.64 | 18 |
import os.path
from pathlib import Path
from typing import Dict, List, Set, Optional
from omnibenchmark.core._mermaid import generate_mermaid_diagram
from omnibenchmark.core._paths import (
collect_output_paths,
collect_path_exclusions,
)
from omnibenchmark.core import _graph as graph
from omnibenchmark.mode... | omnibenchmark/omnibenchmark | omnibenchmark/core/execution.py | .py | 7f9f9e8b620c46d7 | 7.64 | 18 |
"""Shared repository utilities for benchmark module validation and citation extraction.
This module provides common functionality for cloning, accessing, and cleaning up
module repositories used by both validation and citation extraction workflows.
"""
import logging
import shutil
from pathlib import Path
from typing... | omnibenchmark/omnibenchmark | omnibenchmark/core/repository_utils.py | .py | 7e72ed5afb4cf194 | 7.64 | 18 |
from pathlib import Path
from typing import Union
from omnibenchmark.core._paths import sanitize_rule_name, truncate_filename
from omnibenchmark.core.execution_path import (
ExecutionPathSet,
)
from omnibenchmark.core import BenchmarkExecution
def _attach_log_paths(exec_path_dict: dict, out_dir: Union[str, Path])... | omnibenchmark/omnibenchmark | omnibenchmark/core/status/status.py | .py | 0b74b6cbdf797057 | 7.64 | 18 |
import os
from pathlib import Path
from filelock import FileLock
from omnibenchmark.model.params import Params
UNSAFE_CHARS = {
"/": "_",
"\\": "_",
":": "_",
"*": "_",
"?": "_",
'"': "_",
"<": "_",
">": "_",
"|": "_",
" ": "_",
}
class SymlinkManager:
"""
Manages a t... | omnibenchmark/omnibenchmark | omnibenchmark/core/symlinks.py | .py | feeb9f99b2cf0556 | 7.64 | 18 |
"""Validator utilities - delegates to BenchmarkValidator in model.validation."""
from pathlib import Path
from typing import Optional
from omnibenchmark.model import SoftwareBackendEnum, SoftwareEnvironment
from omnibenchmark.model.validation import BenchmarkValidator
class Validator:
"""Utility class for valida... | omnibenchmark/omnibenchmark | omnibenchmark/core/validator.py | .py | 9334b5b48bec45f1 | 7.64 | 18 |
"""Simple DAG implementation to replace NetworkX dependency."""
from typing import Dict, List, Set, Tuple, Any, Iterator
from collections import defaultdict, deque
class CyclicDependencyError(Exception):
"""Raised when a cycle is detected in the DAG."""
pass
class SimpleDAG:
"""A simple directed acycl... | omnibenchmark/omnibenchmark | omnibenchmark/dag/simple_dag.py | .py | 374ec75df1d1b20e | 7.64 | 18 |
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