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 |
|---|---|---|---|---|---|---|
"""Audio-source catalog
`CATALOG` is the single definition of the audio sources Audera supports. Provisioning, the
Sources tab, the Players tab, and the rendered `snapserver.conf` all derive from it.
Three rules follow from upstream Snapcast behaviour.
1. A `SourceDefinition.id` is immutable. The id is the URI's `?n... | Eleff-org/audera | audera/domains/sources/catalog.py | .py | 4a15bc95343db230 | 7.15 | 1 |
"""Applying a source toggle to the host.
The `page`-free middle of the Sources tab's enable/disable choreography. The lock, the
data-access-layer write, group reassignment, the readiness wait, and the notifications stay with
the handlers, which read `page`.
`domains/sources/__init__.py` must not import this module. T... | Eleff-org/audera | audera/domains/sources/toggle.py | .py | 3ea07350d6f80ec5 | 7.15 | 1 |
"""Typed exceptions for command failures.
Every write path raises one of these at its translation boundary, so the UI can catch a single
hierarchy and show the right message without inspecting exception types from three libraries.
"""
class CommandError(Exception):
"""A command targeting a service or the local f... | Eleff-org/audera | audera/errors.py | .py | 73e93f09c98ff3a6 | 7.15 | 1 |
"""DSP configuration"""
from __future__ import annotations
from typing import Literal
from pydantic import BaseModel, Field
# Butterworth Q ≈ 1/√2 — the maximally-flat response with no resonant peak; the standard
# default when a filter specifies no Q.
DEFAULT_Q = 0.707
# Pass filters (`Lowpass`/`Highpass`) carry ... | Eleff-org/audera | audera/models/dsp.py | .py | fd3ba7faba485d94 | 7.15 | 1 |
"""Audio-player"""
from __future__ import annotations
from typing import List
from pydantic import BaseModel, Field
class Player(BaseModel):
"""A `class` that represents a Snapcast client.
Attributes
----------
id: `str`
The Snapcast client identifier.
host: `str`
The ip-addres... | Eleff-org/audera | audera/models/player.py | .py | de03bc6875cf03be | 7.15 | 1 |
"""Audio stream"""
from __future__ import annotations
from typing import Literal, Optional
from pydantic import BaseModel, field_validator
class Stream(BaseModel):
"""A `class` that represents what PlexAmp is currently playing.
Unrelated to a Snapcast stream. Built fresh from `PlexAmpClient.get_now_playin... | Eleff-org/audera | audera/models/stream.py | .py | c6616d2a446c1e46 | 7.15 | 1 |
"""Access point management"""
import socket
import time
from typing import Literal
from audera import io
from audera.errors import CommandError
from audera.services import netifaces, platform, system
class AccessPoint:
"""A `class` that represents a Wi-Fi access point.
Parameters
----------
name: `... | Eleff-org/audera | audera/services/ap.py | .py | 401c0c19cce09307 | 7.15 | 1 |
"""Operating-system management"""
import os
import platform
from typing import Callable, Literal
import dotenv
# Load the dietpi os environment
dotenv.load_dotenv('/boot/dietpi/.version')
NAME = 'dietpi' if os.getenv('G_DIETPI_VERSION_CORE') else platform.system().strip().lower()
VERSION = (
'.'.join(
[... | Eleff-org/audera | audera/services/platform.py | .py | e52f7702403c5a94 | 7.15 | 1 |
"""Systemd unit management"""
import logging
import subprocess
from audera.errors import ServiceError, Unreachable
from audera.services import platform
# Bounds every call. A `systemctl` verb that has not returned in 15 seconds is hung.
TIMEOUT: float = 15
# `CalledProcessError.__str__` carries the argv and the exi... | Eleff-org/audera | audera/services/system.py | .py | b9ed593a1292e04d | 7.15 | 1 |
"""Frequency-response chart for the parametric-EQ editor"""
import math
from nicegui import ui
from audera.domains.dsp import response_curve
from audera.models.dsp import DSPConfig
from audera.ui.components import theme
# The visible frequency window (Hz); the y-axis auto-min tracks only the curve inside it.
_X_MIN... | Eleff-org/audera | audera/ui/components/response_plot.py | .py | 04ab29bbfa7c25e6 | 7.15 | 1 |
"""Brand theme adapter for NiceGUI / Quasar apps.
Serves ``brand/tokens.css`` and the self-hosted woff2 font files as NiceGUI
static assets, maps brand tokens to Quasar color slots, and injects page-level
CSS that applies the light palette.
Call ``apply_defaults()`` once from ``run()`` before ``ui.run()``.
Call ``app... | Eleff-org/audera | audera/ui/components/theme.py | .py | 5cd6ab6e51e4c940 | 7.15 | 1 |
"""UX optionality feature-flag catalog"""
from __future__ import annotations
from dataclasses import dataclass
from audera.models.settings import Settings
@dataclass(frozen=True)
class Option:
"""A `class` that represents a single selectable option for a `Feature`.
Attributes
----------
value: `st... | Eleff-org/audera | audera/ui/features.py | .py | 98be73f74dfd09dd | 7.15 | 1 |
"""Mock seams for running the local UI apps off-device.
The setup app cannot run off-device as written: `Page.__init__` and the whole
`AccessPoint` are `@platform.requires('dietpi')`, and `get_wifi_networks()`
shells out to `nmcli`. This module stands in for the device so the wizard is
reachable and screenshotable on ... | Eleff-org/audera | audera/ui/setup/_mock.py | .py | 69270c060aca2f85 | 7.15 | 1 |
"""Remote audio device setup pages"""
import asyncio
import json
import time
from typing import Dict, List, Literal, Optional, Union
from fastapi.responses import RedirectResponse, Response
from nicegui import app, ui
import audera
from audera.ui import components
# The connectivity-check URLs each OS probes on joi... | Eleff-org/audera | audera/ui/setup/pages.py | .py | 54865fdab9c0f060 | 7.15 | 1 |
"""Audera app"""
import asyncio
from nicegui import app, ui
import audera
from audera.dal import settings as settings_dal
from audera.dal import sources as sources_dal
from audera.dal import volume as volume_dal
from audera.settings import settings
from audera.ui import components
from audera.ui.streamer import brok... | Eleff-org/audera | audera/ui/streamer/__init__.py | .py | 46a5cc91d2e8196f | 7.15 | 1 |
from django.contrib.auth.password_validation import validate_password
from rest_framework import serializers
from .models import Usuario
class UsuarioSerializer(serializers.ModelSerializer):
"""
Cadastro publico (/autenticacao/signup/).
Os campos sao listados um a um de proposito. Com 'fields = "__all__"... | PatrikiGss/Projeto-gestao-pecuaria | backend/apps/autenticacao/serializers.py | .py | 31d0d0e4e4f11368 | 7 | 0 |
from rest_framework.views import APIView
from rest_framework import status
from rest_framework.response import Response
from rest_framework.exceptions import NotFound
from rest_framework.permissions import IsAuthenticated, AllowAny
from rest_framework_simplejwt.token_blacklist.models import OutstandingToken, Blackliste... | PatrikiGss/Projeto-gestao-pecuaria | backend/apps/autenticacao/views.py | .py | 733726c95032415e | 7 | 0 |
import django_filters
from .models import AnaliseSolo, Recomendacao
class AnaliseSoloFilter(django_filters.FilterSet):
"""
Filtros da listagem de analises.
Com o historico paginado, o cliente precisa conseguir chegar direto ao
que procura em vez de percorrer pagina por pagina. 'propriedade' atravess... | PatrikiGss/Projeto-gestao-pecuaria | backend/apps/core/filtros.py | .py | 27cd74eb96e33ba9 | 7 | 0 |
from django.db import migrations
from django.db.models import F
def trocar_p_e_k(apps, schema_editor):
"""
Corrige a inversao entre fosforo e potassio nas analises ja gravadas.
O formulario da tela de analise tinha os dois rotulos trocados entre si:
o campo rotulado "Potassio (K)" gravava na coluna '... | PatrikiGss/Projeto-gestao-pecuaria | backend/apps/core/migrations/0007_corrige_inversao_p_k.py | .py | 6fd24d6fdb69220a | 7 | 0 |
"""
Validadores de dominio compartilhados entre as apps.
Fica na raiz de 'apps/', que o config/settings.py acrescenta ao sys.path, e por
isso e importavel como 'validadores' tanto de core quanto de autenticacao.
Os validadores sao declarados nos campos dos models. Assim valem de uma vez no
DRF (que os aplica ao monta... | PatrikiGss/Projeto-gestao-pecuaria | backend/apps/validadores.py | .py | 756d12d549c6297d | 7 | 0 |
"""
Tratamento de excecoes da API.
EXISTE POR CAUSA DO on_delete=PROTECT
Os models de dominio usam PROTECT nas chaves que apontam para AnaliseSolo,
para que apagar um cadastro auxiliar nunca leve o historico junto. So que o
DRF nao conhece ProtectedError: sem este arquivo a excecao sobe sem
tratamento e vira HTTP 500... | PatrikiGss/Projeto-gestao-pecuaria | backend/config/excecoes.py | .py | 9c564e92dd9f1a1f | 7 | 0 |
# Copyright 2023 Canonical Ltd.
# See LICENSE file for licensing details.
"""Library for the certificate_transfer relation.
This library contains the Requires and Provides classes for handling the
ertificate-transfer interface.
## Getting Started
From a charm directory, fetch the library using `charmcraft`:
```shel... | canonical/certificate-transfer-interface | lib/charms/certificate_transfer_interface/v0/certificate_transfer.py | .py | 2a7bcf2a51f09144 | 7 | 0 |
"""Common data model objects used across this library.
These are typically small objects reusable in different contexts.
"""
from dataclasses import dataclass
from typing import ClassVar
from mashumaro.config import BaseConfig
from mashumaro.mixins.yaml import DataClassYAMLMixin
__all__ = [
"DeviceInfo",
"S... | allenporter/synthetic-home | synthetic_home/common.py | .py | bcbb3d5f5016e0a1 | 7.15 | 1 |
"""Data model for device type definitions.
These device types are responsible for:
- Describing infroation about a device such as name, make, model info.
- How devices are made from a set of entities
A device type may also pre-define the concept of a device state. The device
state is a name like "idle" that describes... | allenporter/synthetic-home | synthetic_home/device_types.py | .py | 32554c6fdeac4929 | 7.15 | 1 |
"""Data model for home assistant synthetic home."""
import logging
import pathlib
from dataclasses import dataclass, field
from typing import Any
import slugify
from mashumaro.codecs.yaml import yaml_decode
from synthetic_home.device_types import (
DeviceState,
DeviceStateStrategy,
DeviceTypeRegistry,
... | allenporter/synthetic-home | synthetic_home/synthetic_home.py | .py | 75e3c17f2ad42fb9 | 7.15 | 1 |
"""Helper scripts for synthetic home."""
import argparse
import asyncio
import importlib
import logging
import sys
from pathlib import Path
from . import create_inventory, export_inventory
_LOGGER = logging.getLogger(__name__)
def get_base_arg_parser() -> argparse.ArgumentParser:
"""Get a base argument parser.... | allenporter/synthetic-home | synthetic_home/tool/__main__.py | .py | 53392120e558ade5 | 7.15 | 1 |
"""Create inventory files from a synthetic home device file.
Given a home yaml file:
```
---
name: Family Farmhouse
devices:
Family Room:
- name: Family Room Lamp
device_type: light
device_info:
manufacturer: Phillips
model: Hue
- name: Family Room
device_type: hvac
d... | allenporter/synthetic-home | synthetic_home/tool/create_inventory.py | .py | a87649c997539020 | 7.15 | 1 |
"""Export an inventory from a Home Assistant instance.
You can create a synthetic home inventory copied from an existing home assistant
instance. You need to create an access token and export an inventory like this:
```bash
$ HASS_URL="http://home-assistant.home-assistant:8123"
$ API_TOKEN="XXXXXXXXXXX"
$ synthetic-h... | allenporter/synthetic-home | synthetic_home/tool/export_inventory.py | .py | 53048dfa377772b6 | 7.15 | 1 |
"""Command to dump out all of the synthetic home device types."""
import argparse
import dataclasses
import yaml
from synthetic_home import device_types
def create_arguments(args: argparse.ArgumentParser) -> None:
"""Get parsed passed in arguments."""
args.add_argument(
"--device_type",
typ... | allenporter/synthetic-home | synthetic_home/tool/list_device_types.py | .py | 97467af6d0b73347 | 7.15 | 1 |
"""Global fixtures for Synthetic Home tests."""
import pathlib
import pytest
from syrupy import SnapshotAssertion
from syrupy.extensions.amber import AmberSnapshotExtension
from syrupy.location import PyTestLocation
DIFFERENT_DIRECTORY = "snapshots"
class DifferentDirectoryExtension(AmberSnapshotExtension):
""... | allenporter/synthetic-home | tests/conftest.py | .py | 84bc7ed00a2c5073 | 7.65 | 1 |
"""Test for device_types."""
from synthetic_home import device_types
def test_load_device_type_registry() -> None:
"""Test loading the device type registry."""
reg = device_types.load_device_type_registry()
for name, device_type in reg.device_types.items():
assert name
assert device_type... | allenporter/synthetic-home | tests/test_device_types.py | .py | 41a1df33011983a0 | 7.65 | 1 |
"""Test for inventory."""
from synthetic_home import inventory
INVENTORY = """
---
areas:
- name: Backyard
id: backyard
floor: Ground
- name: Frontyard
id: frontyard
floor: Ground
- name: Living Room
id: living_room
floor: Ground
- name: Loft
id: loft
floor: Upstairs
- name: Basement
id: basement
""... | allenporter/synthetic-home | tests/test_inventory.py | .py | 7c98674c59f49782 | 7.65 | 1 |
"""Test for synthetic_home."""
import pathlib
import pytest
from syrupy import SnapshotAssertion
from synthetic_home import device_types, inventory, synthetic_home
TEST_HOMES = pathlib.Path("tests/homes")
TEST_FIXTURES = pathlib.Path("tests/fixtures")
HOME1 = TEST_HOMES / "home1.yaml"
def test_load_synthetic_home... | allenporter/synthetic-home | tests/test_synthetic_home.py | .py | e01bb6f6f3b52e18 | 7.65 | 1 |
#!/usr/bin/env python3
"""
Auto-solver for daily LeetCode problems using OpenAI GPT-5-mini.
This script fetches the daily problem (or a specific problem by ID), uses AI to solve it, and creates a solution file.
Usage:
python3 auto_solver.py # Solve today's daily problem
python3 auto_solver.py 123 ... | ContextLab/leetcode-solutions | auto_solver.py | .py | db6edd8bf4d9901f | 7.35 | 4 |
"""
Common data structures used in LeetCode problems.
"""
from typing import Optional
class TreeNode:
"""
Definition for a binary tree node.
This is the standard TreeNode class used in LeetCode binary tree problems.
"""
def __init__(self, val=0, left=None, right=None):
self.val = val
... | ContextLab/leetcode-solutions | helpers/data_structures.py | .py | 143bc02b7cd97fbb | 7.35 | 4 |
#!/usr/bin/env python3
"""
Helper script to identify missing problems and create batch files for bulk solving.
"""
import os
import sys
import tempfile
from pathlib import Path
def get_problems_from_readme():
"""Extract problem numbers from README."""
import re
problems = set()
with open('README... | ContextLab/leetcode-solutions | identify_missing.py | .py | bde98b23a1fc067b | 7.35 | 4 |
from typing import Optional, Tuple, Union
import torch
from diffusers import DDIMScheduler, DDPMScheduler, DiffusionPipeline, UNet2DConditionModel
from diffusers.pipeline_utils import ImagePipelineOutput
from diffusers.schedulers.scheduling_ddim import DDIMSchedulerOutput
from diffusers.schedulers.scheduling_ddpm imp... | rsrinath14/Inpainting_with_Stable_Artist | examples/community/bit_diffusion.py | .py | 6c9ad8a93086d118 | 7 | 0 |
import glob
import os
from typing import Dict, List, Union
import torch
from diffusers import DiffusionPipeline, __version__
from diffusers.pipeline_utils import (
CONFIG_NAME,
DIFFUSERS_CACHE,
ONNX_WEIGHTS_NAME,
SCHEDULER_CONFIG_NAME,
WEIGHTS_NAME,
)
from huggingface_hub import snapshot_download
... | rsrinath14/Inpainting_with_Stable_Artist | examples/community/checkpoint_merger.py | .py | 379aea515b758766 | 7 | 0 |
import inspect
from typing import List, Optional, Union
import torch
from torch import nn
from torch.nn import functional as F
from diffusers import (
AutoencoderKL,
DDIMScheduler,
DiffusionPipeline,
LMSDiscreteScheduler,
PNDMScheduler,
UNet2DConditionModel,
)
from diffusers.pipelines.stable_d... | rsrinath14/Inpainting_with_Stable_Artist | examples/community/clip_guided_stable_diffusion.py | .py | dff509dbafe96bb1 | 7 | 0 |
"""
modified based on diffusion library from Huggingface: https://github.com/huggingface/diffusers/blob/main/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py
"""
import inspect
import warnings
from typing import List, Optional, Union
import torch
from diffusers.models import AutoencoderKL, UN... | rsrinath14/Inpainting_with_Stable_Artist | examples/community/composable_stable_diffusion.py | .py | 103d4c4a9a5edddb | 7 | 0 |
"""
modified based on diffusion library from Huggingface: https://github.com/huggingface/diffusers/blob/main/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py
"""
import inspect
from typing import Callable, List, Optional, Union
import torch
from diffusers.models import AutoencoderKL, UNet2DCo... | rsrinath14/Inpainting_with_Stable_Artist | examples/community/seed_resize_stable_diffusion.py | .py | 7ecb406996fed47b | 7 | 0 |
# coding=utf-8
# Copyright 2022 HuggingFace Inc..
#
# 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 a... | rsrinath14/Inpainting_with_Stable_Artist | examples/test_examples.py | .py | 3dc4f04b8ee0f23a | 7.5 | 0 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team.
#
# 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... | rsrinath14/Inpainting_with_Stable_Artist | scripts/convert_ldm_original_checkpoint_to_diffusers.py | .py | 57540643190e5ff7 | 7 | 0 |
# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team.
#
# 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... | rsrinath14/Inpainting_with_Stable_Artist | scripts/convert_ncsnpp_original_checkpoint_to_diffusers.py | .py | 29cd56f5f88bed65 | 7 | 0 |
#
# Python Imaging Library
# $Id$
#
# stuff to read (and render) GIMP gradient files
#
# History:
# 97-08-23 fl Created
#
# Copyright (c) Secret Labs AB 1997.
# Copyright (c) Fredrik Lundh 1997.
#
# See the README file for information on usage and redistribution.
#
"""
Stuff to translate curve segments to pa... | bardsley/merseysidelatinfestival | functions/_layers/brevo/python/PIL/GimpGradientFile.py | .py | 82aa949036ca5450 | 7 | 0 |
#
# Python Imaging Library
# $Id$
#
# stuff to read GIMP palette files
#
# History:
# 1997-08-23 fl Created
# 2004-09-07 fl Support GIMP 2.0 palette files.
#
# Copyright (c) Secret Labs AB 1997-2004. All rights reserved.
# Copyright (c) Fredrik Lundh 1997-2004.
#
# See the README file for information on usage ... | bardsley/merseysidelatinfestival | functions/_layers/brevo/python/PIL/GimpPaletteFile.py | .py | 8481d0f4b279ae2d | 7 | 0 |
#
# The Python Imaging Library.
# $Id$
#
# macOS icns file decoder, based on icns.py by Bob Ippolito.
#
# history:
# 2004-10-09 fl Turned into a PIL plugin; removed 2.3 dependencies.
# 2020-04-04 Allow saving on all operating systems.
#
# Copyright (c) 2004 by Bob Ippolito.
# Copyright (c) 2004 by Secret Labs.
#... | bardsley/merseysidelatinfestival | functions/_layers/brevo/python/PIL/IcnsImagePlugin.py | .py | 76bfe9ebc936102a | 7 | 0 |
"""Cas"""
import base64
import json
import logging
from typing import Any, Dict, List, Optional
from session import MagicSession
# 配置日志
logger = logging.getLogger(__name__)
class Cas:
"""Cas"""
def __init__(self, work_session):
self.session = work_session
self.session_token = None
... | muidea/magicTest | cas/cas/cas.py | .py | 9551cd1bc66c8b1a | 7 | 0 |
"""Endpoint"""
import logging
from session import session
from cas import cas
from mock import common
# 配置日志
logger = logging.getLogger(__name__)
class Endpoint:
"""Endpoint"""
def __init__(self, work_session):
self.session = work_session
def filter_endpoint(self, param):
val = self.se... | muidea/magicTest | cas/endpoint/endpoint.py | .py | d344e3036fd1f75b | 7 | 0 |
"""Namespace"""
import logging
import time as dt
from session import session
from cas import cas
from mock import common
# 配置日志
logger = logging.getLogger(__name__)
class Namespace:
"""Namespace"""
def __init__(self, work_session, defaultNamespace = None):
self.session = work_session
self.d... | muidea/magicTest | cas/namespace/namespace.py | .py | 7593055c91a06b31 | 7 | 0 |
"""Role"""
import logging
from session import session
from cas import cas
from mock import common
# 配置日志
logger = logging.getLogger(__name__)
class Role:
"""Role"""
def __init__(self, work_session):
self.session = work_session
def filter_role(self, param):
val = self.session.get('/api/... | muidea/magicTest | cas/role/role.py | .py | f9e10ed2c0a89e7c | 7 | 0 |
"""common - Faker-based mock data generator"""
import random
import uuid as id
import time as dt
from datetime import datetime, timedelta
from faker import Faker
# Create Faker instances for different locales
_faker_en = Faker()
_faker_zh = Faker('zh_CN')
def generate_uuid():
"""Generate a random UUID (hex stri... | muidea/magicTest | mock/common.py | .py | 865aeb7541243b0a | 7 | 0 |
# Copyright © LFV
from enum import Enum, unique
import os
from typing import ReadOnly, TypedDict
from ruamel.yaml import YAML
import ast
from reqstool_python_decorators.decorators.decorators import Requirements
@unique
class DECORATOR_TYPES(Enum):
FUNCTION = ("FUNCTION", "METHOD")
ASYNCFUNCTION = ("ASYNCFUN... | reqstool/reqstool-python-decorators | src/reqstool_python_decorators/processors/decorator_processor.py | .py | 52504c3063fa784d | 7.15 | 1 |
"""The OpenAI Conversation integration."""
from __future__ import annotations
from pathlib import Path
from types import MappingProxyType
import openai
from openai.types.images_response import ImagesResponse
from openai.types.responses import (
EasyInputMessageParam,
Response,
ResponseInputMessageContent... | lenaxia/talos-ops-prod | kubernetes/apps/home/home-assistant/app/openai/__init__.py | .py | 2e84fc4a8e5704b2 | 7.3 | 3 |
"""Conversation support for OpenAI."""
from typing import Literal
from homeassistant.components import conversation
from homeassistant.config_entries import ConfigSubentry
from homeassistant.const import CONF_LLM_HASS_API, MATCH_ALL
from homeassistant.core import HomeAssistant
from homeassistant.helpers.entity_platfo... | lenaxia/talos-ops-prod | kubernetes/apps/home/home-assistant/app/openai/conversation.py | .py | 43afe6b656b7e5ff | 7.3 | 3 |
"""
IAM by Keycloak
"""
import requests
import os
from fastapi import APIRouter
from fastapi import Depends, HTTPException, status
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
from fastapi.security import HTTPBasic, HTTPBasicCredentials
from jose import jwt as jose_jwt, JWTError
from dotenv i... | ABI-CTT-Group/digitaltwins-api | app/routers/auth.py | .py | 72443d88a9808267 | 7.35 | 4 |
"""Shared FastAPI dependency factories used across multiple routers."""
from fastapi import Depends
from digitaltwins import Querier, Uploader, Downloader, Deleter
from .auth import validate_credentials
def get_querier(credentials: dict = Depends(validate_credentials)) -> Querier:
"""Create a per-request Querie... | ABI-CTT-Group/digitaltwins-api | app/routers/dependencies.py | .py | cec40cb550bb9735 | 7.35 | 4 |
"""
Example for generating a SDS primary dataset
"""
import os.path
from sparc_me import Dataset
def add_dataset_description(dataset, save_dir):
"""
the values can be filled in by 2 methods, set_field() or set_field_using_row_name().
This example will use Dataset.set_field()
# You can get the row_in... | ABI-CTT-Group/digitaltwins-api | examples/generate_primary_dataset.py | .py | 2fbba03cd9b03aec | 7.35 | 4 |
import os
import psycopg2
from dotenv import load_dotenv
load_dotenv()
class Connection(object):
"""
Class for connecting to the digitaltwins platform.
"""
def __init__(self, host=None, port=None, database=None, user=None, password=None):
self._cur = None
self._conn = None
... | ABI-CTT-Group/digitaltwins-api | src/digitaltwins/core/connection.py | .py | de40c45c54b9deb3 | 7.35 | 4 |
"""Core orchestrator for dataset deletion.
Coordinates Postgres and MinIO deletions within a single transaction
so that either everything succeeds or everything is rolled back.
"""
import os
import logging
from typing import Optional
import psycopg2
from dotenv import load_dotenv
load_dotenv()
from ..utils.config... | ABI-CTT-Group/digitaltwins-api | src/digitaltwins/core/deleter.py | .py | e01e8e1ced009635 | 7.35 | 4 |
import os
from dotenv import load_dotenv
load_dotenv()
from ..postgres.querier import Querier as PostgresQuerier
from ..gen3.querier import Querier as Gen3Querier
class QuerierFactory:
"""
static factory
"""
@staticmethod
def create():
"""
static method for creating Querier insta... | ABI-CTT-Group/digitaltwins-api | src/digitaltwins/core/querier_factory.py | .py | 833e5280a4073246 | 7.35 | 4 |
import os
from dotenv import load_dotenv
load_dotenv()
from ..utils.config_loader import is_truthy
from ..airflow.workflow import Workflow as AirflowWorkflow
class Workflow(object):
def __init__(self):
self._airflow_enabled = is_truthy(os.getenv("AIRFLOW_ENABLED"))
if self._airflow_enabled:
... | ABI-CTT-Group/digitaltwins-api | src/digitaltwins/core/workflow.py | .py | 3562eaf4a7268abf | 7.35 | 4 |
import datetime as dt
import logging
import os
from concurrent.futures import as_completed
from concurrent.futures.process import ProcessPoolExecutor
from enum import Enum
from pathlib import Path
from typing import Any
import pandas as pd
from pydantic import BaseModel, Field, field_validator
from tqdm import tqdm
f... | mmocchi/pycodemetrics | src/pycodemetrics/cli/analyze_committer/handler.py | .py | a5dfe944e9c321d4 | 7 | 0 |
"""coupling分析ハンドラーモジュール。
このモジュールは、プロジェクト全体のモジュール結合度分析を行うためのハンドラーを提供します。
プロジェクト構造の分析、結合度メトリクスの計算、結果の表示・エクスポートなどの機能を提供します。
主な機能:
- プロジェクトルートの検証
- モジュール結合度の計算と分析
- 結果のフィルタリングとソート
- プロジェクトサマリーの生成
- 結果の表示とエクスポート
処理フロー:
1. 入力パラメータの検証
2. プロジェクト全体の結合度分析
3. 結果のフィルタリングとソート
4. サマリー情報の生成（オプショ... | mmocchi/pycodemetrics | src/pycodemetrics/cli/analyze_coupling/handler.py | .py | aefa03db587a3dbf | 7 | 0 |
"""健康度分析ハンドラーモジュール。
このモジュールは、健康度分析のCLI処理を実行するためのハンドラー関数とパラメータクラスを提供します。
"""
import logging
from enum import Enum
from pathlib import Path
from typing import Any
from pydantic import BaseModel
from pycodemetrics.services.analyze_health import (
HealthAnalysisSettings,
analyze_project_health,
)
logger = logg... | mmocchi/pycodemetrics | src/pycodemetrics/cli/analyze_health/handler.py | .py | 90aa887da44ab435 | 7 | 0 |
import datetime as dt
import logging
import os
from concurrent.futures import as_completed
from concurrent.futures.process import ProcessPoolExecutor
from enum import Enum
from pathlib import Path
import pandas as pd
from pydantic import BaseModel, Field, field_validator
from tqdm import tqdm
from pycodemetrics.cli.d... | mmocchi/pycodemetrics | src/pycodemetrics/cli/analyze_hotspot/handler.py | .py | cd95b82970f015ed | 7 | 0 |
"""Pythonコード分析ハンドラーモジュール。
このモジュールは、Pythonコードのメトリクス分析を行うためのハンドラーを提供します。
分析対象のファイルの取得、分析の実行、結果の表示・エクスポートなどの機能を提供します。
主な機能:
- 分析対象ファイルの取得と検証
- コードメトリクスの計算と分析
- 結果の表示形式の制御
- 分析結果のエクスポート
処理フロー:
1. 入力パラメータの検証
2. 分析対象ファイルの取得
3. コードメトリクスの計算
4. 結果のフィルタリングとソート
5. 結果の表示とエクスポート
制限事項:
- 分... | mmocchi/pycodemetrics | src/pycodemetrics/cli/analyze_python/handler.py | .py | d999a0e7ab459176 | 7 | 0 |
from enum import Enum
import pandas as pd
import tabulate
class DisplayFormat(str, Enum):
"""
Display format for the result.
TABLE: Display the result as a table.
CSV: Display the result as a CSV format.
JSON: Display the result as a JSON format.
"""
TABLE = "table"
CSV = "csv"
... | mmocchi/pycodemetrics | src/pycodemetrics/cli/display_util.py | .py | 319ab17ea3be041c | 7 | 0 |
from enum import Enum
from pathlib import Path
import pandas as pd
class ExportFormat(str, Enum):
"""
Export format for analyze_hotspot_metrics
Args:
CSV: Export the result as a CSV.
JSON: Export the result as a JSON.
"""
CSV = "csv"
JSON = "json"
@classmethod
def t... | mmocchi/pycodemetrics | src/pycodemetrics/cli/exporter.py | .py | c6bfe23b5c579eb7 | 7 | 0 |
import datetime as dt
from pathlib import Path
from pydantic import BaseModel
class GitFileCommitLog(BaseModel, frozen=True, extra="forbid"):
"""
Git file commit log.
filepath (Path): The path to the file.
commit_hash (str): The commit hash.
author (str): The author of the commit.
commit_dat... | mmocchi/pycodemetrics | src/pycodemetrics/gitclient/models.py | .py | 3b63f7c593ada1d9 | 7 | 0 |
"""モジュール結合度分析モジュール。
このモジュールは、Pythonプロジェクト内のモジュール間の結合度を分析します。
プロジェクト全体の構造的メトリクスを提供し、アーキテクチャの品質評価を行います。
主な機能:
- プロジェクト全体の依存関係収集
- Afferent Coupling (Ca) - 入力結合度の計算
- Efferent Coupling (Ce) - 出力結合度の計算
- Instability (I) - 不安定度の計算
- Abstractness (A) - 抽象度の計算（将来実装）
- モジュール間の依存関係グラフ構築
結合度メトリクスの解釈:
... | mmocchi/pycodemetrics | src/pycodemetrics/metrics/coupling.py | .py | 7aa826f3e6064b37 | 7 | 0 |
"""健康度メトリクス計算モジュール。
このモジュールは、プロジェクトの健康度を計算するためのメトリクス機能を提供します。
複数の指標を統合して総合的な健康度スコアを算出します。
"""
import logging
import statistics
from pathlib import Path
from typing import Any
from pydantic import BaseModel
logger = logging.getLogger(__name__)
class HealthMetrics(BaseModel, frozen=True, extra="forbid"):
"""健康度... | mmocchi/pycodemetrics | src/pycodemetrics/metrics/health.py | .py | 11a6a420578838ad | 7 | 0 |
import ast
class ImportAnalyzer(ast.NodeVisitor):
def __init__(self):
self.imports = []
def visit_Import(self, node):
for alias in node.names:
self.imports.append(alias.name)
def visit_ImportFrom(self, node):
for alias in node.names:
self.imports.append(no... | mmocchi/pycodemetrics | src/pycodemetrics/metrics/py/import_analyzer.py | .py | 4b8f4366d2444deb | 7 | 0 |
from pydantic import BaseModel
from pycodemetrics.metrics.py.cognitive_complexity import get_cognitive_complexity
from pycodemetrics.metrics.py.import_analyzer import analyze_import_counts
from pycodemetrics.metrics.py.raw.radon_wrapper import (
get_complexity,
get_maintainability_index,
get_raw_metrics,
)... | mmocchi/pycodemetrics | src/pycodemetrics/metrics/py/python_metrics.py | .py | 565b612a802fe803 | 7 | 0 |
import ast
from cognitive_complexity.api import get_cognitive_complexity
from pydantic import BaseModel
class FunctionCognitiveComplexity(BaseModel, frozen=True):
"""
関数の認知的複雑度を表すデータクラス。
このクラスは、特定の関数の認知的複雑度を計算し、その結果を保持します。
認知的複雑度は、コードの理解や保守の難易度を示す指標です。
Attributes:
function_name (str): 関... | mmocchi/pycodemetrics | src/pycodemetrics/metrics/py/raw/cc_wrapper.py | .py | fcdeab312e626e3c | 7 | 0 |
from enum import Enum
from pydantic import BaseModel
from radon.metrics import mi_visit
from radon.raw import analyze
from radon.visitors import Class, ComplexityVisitor, Function
class BlockType(Enum):
FUNCTION = "Function"
METHOD = "Method"
CLASS = "Class"
UNKNOWN = "Unknown"
class RawMetrics(Bas... | mmocchi/pycodemetrics | src/pycodemetrics/metrics/py/raw/radon_wrapper.py | .py | 4657658b9a0db65b | 7 | 0 |
import datetime as dt
from collections import Counter
from enum import Enum
from pathlib import Path
from typing import Any
from pydantic import BaseModel
from pycodemetrics.config.config_manager import UserGroupConfig
from pycodemetrics.gitclient.gitcli import get_file_gitlogs
from pycodemetrics.gitclient.gitlog_par... | mmocchi/pycodemetrics | src/pycodemetrics/services/analyze_committer.py | .py | 233cb51a0801f124 | 7 | 0 |
"""結合度分析サービスモジュール。
このモジュールは、プロジェクト全体のモジュール結合度分析を行うためのサービスレイヤーを提供します。
ビジネスロジックの中核となる機能を集約し、CLIレイヤーとメトリクス計算レイヤーを仲介します。
主な機能:
- プロジェクト結合度分析の実行
- 結果のフィルタリングと分類
- メトリクスの統計情報計算
- 推奨アクションの生成
- エラーハンドリングとログ記録
処理パターン:
1. プロジェクト検証とメタデータ収集
2. 結合度メトリクスの計算
3. 結果の分析と分類
4. 推奨アクションの生成
5. 統計情報... | mmocchi/pycodemetrics | src/pycodemetrics/services/analyze_coupling.py | .py | a8faf68e3b99f3fc | 7 | 0 |
"""健康度分析サービスモジュール。
このモジュールは、プロジェクトの健康度を分析するためのサービス機能を提供します。
複数のメトリクスを統合して総合的な健康度スコアを算出します。
"""
import logging
from pathlib import Path
from typing import Any
from pydantic import BaseModel
from pycodemetrics.metrics.health import (
ProjectHealthResult,
analyze_project_health_metrics,
)
from pycodemetrics.se... | mmocchi/pycodemetrics | src/pycodemetrics/services/analyze_health.py | .py | 0ad92816f2531972 | 7 | 0 |
import datetime as dt
from enum import Enum
from pathlib import Path
from typing import Any
from pydantic import BaseModel
from pycodemetrics.config.config_manager import UserGroupConfig
from pycodemetrics.gitclient.gitcli import get_file_gitlogs
from pycodemetrics.gitclient.gitlog_parser import parse_gitlogs
from py... | mmocchi/pycodemetrics | src/pycodemetrics/services/analyze_hotspot.py | .py | fcbf3f9c489c8034 | 7 | 0 |
import logging
from enum import Enum
from pathlib import Path
from typing import Any
from pydantic import BaseModel
from pycodemetrics.config.config_manager import UserGroupConfig
from pycodemetrics.metrics.py.python_metrics import PythonCodeMetrics, compute_metrics
from pycodemetrics.util.file_util import CodeType, ... | mmocchi/pycodemetrics | src/pycodemetrics/services/analyze_python_metrics.py | .py | 76c0a337742ca0a8 | 7 | 0 |
"""健康度分析ハンドラーのテストモジュール。"""
from pathlib import Path
from unittest.mock import Mock, patch
from pycodemetrics.cli.analyze_health.handler import (
DisplayFormat,
DisplayParameter,
ExportParameter,
InputTargetParameter,
RuntimeParameter,
_get_status_emoji,
_get_status_text,
run_analyze_he... | mmocchi/pycodemetrics | tests/pycodemetrics/cli/analyze_health/test_handler.py | .py | cd411f6c2ecfb3a8 | 7.5 | 0 |
"""Pythonコード分析ハンドラーのテストモジュール。
このモジュールは、pycodemetrics.cli.analyze_python.handlerモジュールの機能をテストします。
Pythonコードのメトリクス分析機能と、結果の表示・エクスポート機能を検証します。
"""
from pathlib import Path
import pandas as pd
import pytest
from pycodemetrics.cli.analyze_python.handler import (
DisplayFormat,
DisplayParameter,
ExportParamete... | mmocchi/pycodemetrics | tests/pycodemetrics/cli/analyze_python/test_handler.py | .py | 0c9d52498ee7a682 | 7.5 | 0 |
import json
from typing import Any, Callable
import logging
logger = logging.getLogger(__name__)
class Cache:
cache_dir: str = "cache"
def __init__(self, cache_dir: str = "cache"):
self.cache_dir = cache_dir
def get(self, key: str) -> Any:
"""
Get the value from the cache for th... | autotaker/diff-insight | src/cache.py | .py | 30de726dc0665701 | 7.24 | 2 |
from typing import Any, Optional
import yaml
import logging
logger = logging.getLogger(__name__)
class CategoryClassifier:
"""
Classify patches into categories.
"""
config: dict[str, Any]
def __init__(self, config_path):
"""
Initialize the classifier.
Args:
... | autotaker/diff-insight | src/category_classifier.py | .py | 3f9cd7d0a610ff54 | 7.24 | 2 |
# src/github_api.py
import requests
from typing import Dict, Any, Optional
import logging
logger = logging.getLogger(__name__)
class GitHubAPI:
def __init__(self, token: str):
"""
Initialize GitHubAPI with an authentication token.
:param token: GitHub Personal Access Token for authenti... | autotaker/diff-insight | src/github_api.py | .py | af40ba43e29705ef | 7.24 | 2 |
# src/llm_api.py
import hashlib
import json
import textwrap
from openai import OpenAI
from typing import Any, Optional
import logging
import locale
import re
logger = logging.getLogger(__name__)
def parse_summary(diff_item: dict[str, Any], explanation: str) -> dict[str, str]:
"""
Parse the summary from the ... | autotaker/diff-insight | src/llm_api.py | .py | cf03773aa7194a77 | 7.24 | 2 |
# src/main.py
from datetime import datetime
import hashlib
import json
import os
import typer
from cache import Cache
from category_classifier import CategoryClassifier
from github_api import GitHubAPI
from llm_api import LLMAPI
from report_generator import ReportGenerator
import logging
app = typer.Typer()
token = ... | autotaker/diff-insight | src/main.py | .py | 748ac52b731edba3 | 7.24 | 2 |
# src/report_generator.py
from datetime import date
import os
from typing import Any, List, Dict
import yaml
# Define a custom representer for multi-line strings
def str_presenter(dumper, data):
if "\n" in data:
# Use block style for multi-line strings
return dumper.represent_scalar("tag:yaml.org... | autotaker/diff-insight | src/report_generator.py | .py | 89e577ab8834eabc | 7.24 | 2 |
#!/usr/bin/env python3
"""Add ``# yaml-language-server: $schema=<url>`` modelines to Kubernetes manifests.
Walks the kubernetes/ tree, parses each YAML file, and for every document with a
known (apiVersion, kind) emits a modeline after the leading ``---`` marker. For
files that lack a leading ``---``, inserts both the... | AlinaNova21/home-ops | kubernetes/scripts/add-yaml-modelines.py | .py | bdd37540ac345ead | 7.15 | 1 |
import requests
from bs4 import BeautifulSoup
import re
# Standard headers for requests
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'
}
def fetch_article_data(article_url):
"""
Fetches the content of an articl... | ALeX400/Multi-RSS | patterns/Example/tepmplate_pattern.py | .py | 180059683e7df2ae | 7.24 | 2 |
"""Exact per-prediction feature attribution for the deployed LightGBM models.
Uses LightGBM's native ``pred_contrib=True``, which is exact TreeSHAP. The
``shap`` package would give the same numbers for these models while adding a
dependency, and requirements.txt pins library versions precisely so the model
pickles sta... | levonrush/footy-tipper | pipeline/common/explain/contributions.py | .py | c2d7075b656eea20 | 7.39 | 5 |
"""Feature-family taxonomy for explainability.
Groups the ~600 raw predictors into a handful of families with plain-English
labels. Reason codes and cohort analyses are only readable at this altitude:
"team-list strength" means something, "lineup_avg_spine_margin_rating_delta"
does not.
This deliberately lives here r... | levonrush/footy-tipper | pipeline/common/explain/families.py | .py | 416c329ec28ccf1f | 7.39 | 5 |
"""Persistence for per-game explanations.
Explanations live in their own table rather than as extra columns on
predictions_table. That table is the published tips contract: ten columns
spread across two SQL files, a view, a contract test and two duplicated
column-migration helpers, and a Drive CSV whose shape depends ... | levonrush/footy-tipper | pipeline/common/explain/store.py | .py | e6328f684db76e85 | 7.39 | 5 |
"""Reading the deployed probability stack, exactly as inference assembles it.
The published conditional home-win probability is built in three steps:
experts (Tier A / Tier B / Tier C / market)
-> SimplexLogitPool: pooled_logit = sum_i w_i * logit(p_i)
-> TemperatureCalibrator: published_logit = poo... | levonrush/footy-tipper | pipeline/common/explain/trace.py | .py | cb62504087bd4ded | 7.39 | 5 |
"""Convert link-scale contributions into units a human can act on.
LightGBM hands back contributions on the link scale: log-odds for the binary
classifier, log-mean for the Poisson score models. Neither is readable. These
helpers map them to probability points and points of margin.
The link is nonlinear, so linearise... | levonrush/footy-tipper | pipeline/common/explain/units.py | .py | e12faf9bccd22f26 | 7.39 | 5 |
"""Proper scoring rules for sample-based predictive distributions.
The score models draw from a Poisson family for every match, but only three
integers ever reach the predictions table. Every scoring rule elsewhere in the
pipeline (log loss, Brier, Poisson deviance) scores the binary win probability,
so the score dist... | levonrush/footy-tipper | pipeline/common/model_training/distributional_metrics.py | .py | 757048c777e60e67 | 7.39 | 5 |
"""Derived per-round team performance rows in the feed_cache_performance schema.
Semantics verified against the cached feed: each (competition_year, round_id,
team) row holds that round's SINGLE-GAME stats (not season-to-date); bye
rounds are all-zero rows. R selects the same team's latest prior finalized
match in the... | levonrush/footy-tipper | pipeline/common/nrl_data/performance.py | .py | e0202468b5107fc3 | 7.39 | 5 |
"""Weather observations for games via Open-Meteo (free, no key).
Historical rows use the ERA5 archive; upcoming games use the forecast API
(16-day horizon comfortably covers the prediction window). Values are stored
in `weather_observations` keyed by game_id; the feature builder only reads
the table, so fetch failures... | levonrush/footy-tipper | pipeline/common/nrl_data/weather.py | .py | 0720a3985141aedd | 7.39 | 5 |
"""Shared HTTP helpers for nrl.com ingestion.
Mirrors the session conventions used by pipeline/common/lineups/ingest.py
(browser-like headers, robots.txt awareness, polite request delay) so both
scrapers present the same footprint to nrl.com.
"""
from __future__ import annotations
import html
import json
import time... | levonrush/footy-tipper | pipeline/common/nrl_data/web.py | .py | c1b740bef4b83147 | 7.39 | 5 |
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