else:
        return float(dec_value)


ENCODERS_BY_TYPE: Dict[Type[Any], Callable[[Any], Any]] = {
    bytes: lambda o: o.decode(),
    Color: str,
    datetime.date: isoformat,
    datetime.datetime: isoformat,
    datetime.time: isoformat,
    datetime.timedelta: lambda td: td.total_seconds(),
    Decimal: decimal_encoder,
    Enum: lambda o: o.value,
    frozenset: list,
    deque: list,
    GeneratorType: list,

import logging
import subprocess
import sys
from collections import Counter, defaultdict
from datetime import datetime, timedelta, timezone
from pathlib import Path
from typing import Any, Container, DefaultDict, Dict, List, Set, Union

import httpx
import yaml
from github import Github
from pydantic import BaseModel, SecretStr
from pydantic_settings import BaseSettings

github_graphql_url = "https://api.github.com/graphql"

	}{
		{
			file:            "nyc-taxi-data-100k.csv",
			recordDelimiter: "\n",
			fieldDelimiter:  ",",
			header:          true,

  """Creates a JUnit-based XML file, with each invocation as a testcase."""
  os.makedirs(os.path.dirname(output_path), exist_ok=True)
  failure_count = 0
  error_count = 0

  date_time = datetime.datetime
  attrib = {'name': 'Bazel Invocations', 'time': '0.0',
            'timestamp': date_time.isoformat(date_time.utcnow())}
  testsuites = ElemTree.Element('testsuites')

                    copyBeanToBean(entity, form, copyOp -> copyOp.exclude(Constants.PERMISSIONS, EXPIRED_TIME).excludeNull()
                            .dateConverter(Constants.DEFAULT_DATETIME_FORMAT, EXPIRES));
                    final PermissionHelper permissionHelper = ComponentUtil.getPermissionHelper();

        sdf.setTimeZone(Constants.TIMEZONE_UTC);
        return sdf.format(date);
    }

    public static String formatDate(final LocalDateTime date) {
        if (date == null) {
            return StringUtil.EMPTY;
        }
        return date.format(DateTimeFormatter.ofPattern(Constants.ISO_DATETIME_FORMAT, Locale.ROOT));
    }

    public static final String HIGHLIGHT_QUERIES = "fess.HighlightQueries";

    public static final String FIELD_LOGS = "fess.FieldLogs";

    public static final String DEFAULT_DATETIME_FORMAT = "yyyy-MM-dd'T'HH:mm:ss";

    public static final String ISO_DATETIME_FORMAT = "yyyy-MM-dd'T'HH:mm:ss.SSS'Z'";

    public static final String DATE_OPTIONAL_TIME = "date_optional_time";

    public static final int DONE_STATUS = 9999;

Sie schreiben Standard-Python mit Typen:

```Python
from typing import List, Dict
from datetime import date

from pydantic import BaseModel

# Deklarieren Sie eine Variable als ein `str`
# und bekommen Sie Editor-Unterstütung innerhalb der Funktion
def main(user_id: str):
    return user_id

Standart Python'u typelarını belirterek yazıyorsun:

```Python
from typing import List, Dict
from datetime import date

from pydantic import BaseModel

# Değişkeni str olarak belirt
# ve o fonksiyon için harika bir editör desteği al
def main(user_id: str):
    return user_id


# Pydantic modeli

Bạn viết chuẩn Python với kiểu dữ liệu như sau:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model