datavudeja

import pandas as pd
import pyodbc

class DataImporter:
    """
    This Python class takes in a pandas DataFrame from a CSV file and a SQL Server connection string, as 
    well as a name for the SQL table where the data will be imported. The class compares the columns of 
    the DataFrame to those in the SQL table and ensures that at least 50% of the fields match. If there 
    are missing fields, the class adds them to the SQL table using the same naming convention as existing 
    fields. All new fields are created as varchar fields by default. Once the SQL table has all the fields 

datavudeja

import pandas as pd


@pd.api.extensions.register_series_accessor("nullsafe")
class NullSafeSeriesAccessor:
    """
    Null-safe comparison accessor for Pandas Series.

    This is equivalent to a null-safe equal operator in SQL (<=>) where

datavudeja

# This example is copied verbatim from one of the codebases I contribute to.
# Unfortunately, I can't copy it, so I tried to extract the scenario as it was,
# as an example that I could share publicly.
#
# I'm sure the example could be simplified, but I thought it would be better to
# show it as it is, and leave any conclusions to whomever is going to read it.
#

from typing import Union, TypeVar, Callable
from typing_extensions import TypeAlias, Literal, overload

datavudeja

"""Unit conversion"""

from dataclasses import dataclass
from functools import total_ordering
from enum import Enum
from typing import Callable, NamedTuple

class UnitDesc(NamedTuple):
    """Unit description"""
    scale: float

datavudeja

from dataclasses import dataclass
from typing import Callable, Any, Literal, Type
from enum import Enum

El = int | float | str
S = list[El]

BoolMat = list[list[bool]]

def default_for_type(t: Type) -> El:

datavudeja

from enum import Enum, unique, auto
from dataclasses import dataclass
from typing import List, TypeVar, Type
from pathlib import Path
import os

I = TypeVar('I', bound='Input')

@unique
class InputType(Enum):

datavudeja

from dataclasses import dataclass
from datetime import datetime
import enum
from functools import reduce
from typing import List, Optional
import uuid


class StatusEnum(enum.Enum):
    PENDING: str = "PENDING"

datavudeja

# Thanks blanket#1213 https://github.com/blanketsucks for helping.
from dataclasses import dataclass
import enum
import math

class MathError(Exception):
    pass

class InavliadSyntax(MathError):
    def __init__(self, *args: object) -> None:

datavudeja

from abc import ABC
from dataclasses import dataclass
from enum import Enum
from string import ascii_letters, digits

from typing import List, Optional, Union


DELIMITER = Enum("DELIMITER", "COMMA SEMICOLON")

datavudeja

from typing import Iterator, Match, TypeVar, Type
from dataclasses import dataclass, field
from enum import Enum
import re


class TokenKind(int, Enum):
    NUMBER      = 0x01
    SYMBOL      = 0x02
    ASSIGN      = 0x03