TheArcherST

# https://gist.github.com/TheArcherST/fd9d924323de6e50cc7794d4a67fffd7


from typing import ClassVar, Type

from collections import namedtuple
from itertools import chain


class Namedtuple(

TheArcherST

"""Event generation system

Assumes that we have some stream of data, and we want to synchronize
it with remote server with minimum network stress. Chosen solution is
to convert data stream to stream of data change events. This module
describes base units of convert system.

Specific features:
1. sources of the data are not eternal. when source expires, we must
   accept the latest revision result.

TheArcherST

import dataclasses
import re
import sys
from enum import Enum
from dataclass_factory import Factory
from functools import partial
import typing
import yaml

TheArcherST

import warnings

import os
from shutil import rmtree


class TDException(Exception):
    pass

TheArcherST

from typing import Any
from dataclasses import dataclass


class FunctionType:
    const = 'const'
    call = 'call'


@dataclass

TheArcherST

from timeit import timeit
import plotly.express as px
import pandas as pd


EXPRESSIONS = [
    "{v: k for k, v in data.items()}",
    "dict(zip(data.values(), data.keys()))",
    "new = {}\nfor k, v in data.items(): new[k] = v",
]

TheArcherST

class Repr:
    """Repr method generator

    Automatically parse object init-based definition.
    To include extra fields, list them in `__repr_include__`.

    >>> class User(Repr):
    ...     __repr_include__ = ['uri']
    ...
    ...     def __init__(self, uid: int, uname: str, referral: int = None):

TheArcherST

from typing import Any, Dict, Union
from types import FunctionType
from inspect import getargs, getfullargspec
import functools
import warnings


class TypesCompilationWarning(Warning):
    pass

TheArcherST

"""

This program helps you to evaluate you test results

```input.md

1. .
2. ?
3.
4.