python

from rest_framework import serializers
from .models import Author, Book


class BookSerializer(serializers.ModelSerializer):
    class Meta:

import time
from dataclasses import dataclass
from typing import Optional

import requests

from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.linear_model import LogisticRegression
from sklearn.pipeline import Pipeline
from sklearn.metrics import classification_report

pipeline = Pipeline([

from abc import ABC, abstractmethod


class UnknownChannel(Exception):
    pass

import contextvars
import uuid

_correlation_id: contextvars.ContextVar[str] = contextvars.ContextVar(
    "correlation_id", default="-"
)

from sklearn.compose import ColumnTransformer
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.impute import SimpleImputer
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import OneHotEncoder, StandardScaler
from sklearn.ensemble import RandomForestClassifier

import asyncio
import time
from dataclasses import dataclass, field


@dataclass

import pandas as pd

df = pd.read_csv(
    'orders.csv',
    parse_dates=['created_at'],
    dtype={

import json
import secrets
import time
from typing import Optional

import redis.asyncio as redis

from django.db import models


class Post(models.Model):
    title = models.CharField(max_length=200)
    content = models.TextField()

import base64
import json
from datetime import datetime
from typing import Optional, Tuple

import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns

sns.set_theme(style='whitegrid', palette='deep', context='talk')
plt.rcParams.update({