python

CREATE TYPE outbox_status AS ENUM ('pending', 'retry', 'processing', 'done', 'dead');

CREATE TABLE outbox_events (
    id           BIGINT GENERATED ALWAYS AS IDENTITY PRIMARY KEY,
    dedupe_key   TEXT        NOT NULL,
    topic        TEXT        NOT NULL,

from datetime import date, datetime
from decimal import Decimal, InvalidOperation
from enum import Enum

from pydantic import BaseModel, field_validator

import random
from dataclasses import dataclass
from typing import Iterator


@dataclass(frozen=True)

from django.db import transaction
from django.shortcuts import get_object_or_404
from django.http import JsonResponse
from .models import Product

import numpy as np

features = np.array([
    [120.0, 3.0, 10.0],
    [90.0, 5.0, 7.0],
    [150.0, 2.0, 14.0],

import asyncio
import uuid
from dataclasses import dataclass, field
from typing import Any, Dict, Optional

-- KEYS[1] = bucket key
-- ARGV[1] = capacity, ARGV[2] = refill_per_sec, ARGV[3] = now (float seconds)
local capacity = tonumber(ARGV[1])
local rate = tonumber(ARGV[2])
local now = tonumber(ARGV[3])

import torch

best_val_loss = float('inf')

for epoch in range(1, num_epochs + 1):
    model.train()

import pandera as pa
from pandera.typing import Series

class ChurnTrainingSchema(pa.DataFrameModel):
    customer_id: Series[int] = pa.Field(unique=True)
    age: Series[int] = pa.Field(ge=18, le=100)

import hashlib
import json


def compute_etag(payload, weak=False):
    body = json.dumps(payload, sort_keys=True, separators=(",", ":"))

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


class TimeStampedModel(models.Model):
    """Abstract base class with created/updated timestamps."""

import joblib
from skl2onnx import to_onnx
from skl2onnx.common.data_types import FloatTensorType

joblib.dump(model, 'artifacts/model.joblib')