python

from dataclasses import dataclass


class ConfigError(Exception):
    pass

from django.contrib.sitemaps import Sitemap
from .models import Post


class PostSitemap(Sitemap):
    changefreq = 'weekly'

import threading


class MinuteRingBuffer:
    def __init__(self, window_minutes=15):
        if window_minutes < 1:

from sklearn.model_selection import StratifiedKFold, train_test_split, cross_validate
from sklearn.pipeline import Pipeline
from sklearn.impute import SimpleImputer
from sklearn.preprocessing import StandardScaler
from sklearn.linear_model import LogisticRegression

import optuna
from sklearn.ensemble import HistGradientBoostingClassifier
from sklearn.model_selection import cross_val_score

def objective(trial):
    model = HistGradientBoostingClassifier(

import spacy
from spacy.matcher import Matcher

nlp = spacy.load('en_core_web_sm')
matcher = Matcher(nlp.vocab)
matcher.add('INCIDENT_ID', [[{'TEXT': {'REGEX': '^INC-[0-9]{6}$'}}]])

import pandas as pd

orders = pd.read_parquet('orders.parquet')
orders['ordered_at'] = pd.to_datetime(orders['ordered_at'])

reference_date = orders['ordered_at'].max() + pd.Timedelta(days=1)

from django.db import models
from django.utils import timezone


class SoftDeleteManager(models.Manager):
    def get_queryset(self):

from celery import Celery
from celery.schedules import crontab

app = Celery('myproject')
app.config_from_object('django.conf:settings', namespace='CELERY')

from django.db import models
from django.contrib.postgres.indexes import GinIndex


class Post(models.Model):
    title = models.CharField(max_length=200, db_index=True)

from django.core.cache import cache


class RateLimiter:
    def __init__(self, scope, limit, window_seconds):
        self.scope = scope

LOGGING = {
    'version': 1,
    'disable_existing_loggers': False,
    'formatters': {
        'verbose': {
            'format': '{levelname} {asctime} {module} {message}',