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import sys

import sqlalchemy as sa
from sqlalchemy.exc import IntegrityError
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker

base = declarative_base()
print 'SQLAlchemy version {}'.format(sa.__version__)

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?start: design
design: UCASE SIZE flower* INT+
flower: INT+ LCASE

SIZE: ("S"|"L")
%import common.LCASE_LETTER -> LCASE
%import common.UCASE_LETTER -> UCASE
%import common.INT
%ignore "\n"

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from __future__ import annotations

import operator
from collections import deque
from enum import Enum, auto
from typing import Any, Dict, Iterator, NamedTuple, Optional, Tuple

from sqlalchemy import Column
from sqlalchemy.sql import operators
from sqlalchemy.sql.elements import (

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from collections.abc import Iterable


def deep_add(*values, start=None):
    def _traverser(parts):
        for part in parts:
            if isinstance(part, Iterable):
                yield from _traverser(part)
            else:
                yield part

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from sqlalchemy import (
    Column,
    Integer,
    DateTime,
    Text,
    create_engine,
    func)
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.ext.hybrid import hybrid_property
from sqlalchemy.inspection import inspect

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from sqlalchemy import (
    Column,
    ForeignKey,
    Integer,
    Text,
    create_engine)
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import (
    relationship,
    sessionmaker)

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"""Merging two sorted lists in Python in four ways.

1. The "stupid naive" way of adding them together and sorting the whole thing.
   This should be pretty fast as timsort is designed to be fast on partially
   sorted lists. However, it uses more memory and might not scale very well?
2. The "picking an algorithm designed for this" way of using heapq.merge. This
   provides a generator that walks the two lists without additional use of
   memory.
3. The "C-way" of indexing our way through two lists. This being Python though,
   we will be yielding the values though (wrapping the resulting generator in

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import timeit

NO_DUPLICATES = (
    'one', 'two', 'three', 'four', 'five', 'six',
    'seven', 'eight', 'nine', 'ten', 'eleven', 'twelve')
WITH_DUPLICATES = (
    'one', 'two', 'three', 'four', 'five', 'six',
    'seven', 'one', 'nine', 'two', 'eleven', 'three')

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from kalpa import Root, Node, branch

USERS = {...}


class Root(Root):
    """Traversal root for Pyramid application."""
    users = branch('UserCollection')

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"""A simple 8-round Feistel network to encode/decode 8-bit integers.

See https://en.wikipedia.org/wiki/Feistel_cipher for construction details.
"""

from random import randint

ROUNDS = 8
KEYS = [(randint(11, 19), randint(1, 200)) for _ in range(ROUNDS)]