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import asyncpg
import ujson


class Transaction:
    def __init__(self, pool):
        self.pool = pool

    async def __aenter__(self):
        self.acquire_context = self.pool.acquire()

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from starlette.applications import Starlette
from starlette.responses import StreamingResponse
from starlette.requests import Request
from starlette.routing import Route
from pathlib import Path
from typing import IO, Generator

"""
Stream a file, in this case an mp4 video, supporting range-requests using starlette

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def delete(key, dict_obj):
    """Deletes element from dict_obj accessing by complex key

    Args:
        key (str): Complex key to your value (separated by dots)
        dict_obj (dict): Your dictionary

    Raises:
        KeyError: if object doesn't contain key

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async in Python3

History

1. generators found in Python 3.3
2. event loop in the form of asyncio: In Python 3.4, the asyncio.coroutine decorator was used to label a function as acting as a coroutine that was meant for use with asyncio and its event loop.
3. yield from to await in Python 3.5

Event loop and task

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from datetime import datetime
from sqlalchemy import Column, Integer, DateTime, ForeignKey
from sqlalchemy.orm import relationship
from sqlalchemy.ext.declarative import declared_attr
from flask_security import current_user


class AuditMixin(object):
    created_at = Column(DateTime, default=datetime.now)
    updated_at = Column(DateTime, default=datetime.now, onupdate=datetime.now)

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"""This program is exactly the same as that of

https://gist.github.com/zzzeek/33943060f7a08cf9e82bf8df1f0f75de ,
with the exception that the add_and_select_data function is written in
synchronous style.

UPDATED!!   now includes refinements by @snaury and @Caselit .  SIMPLER
AND FASTER!!

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Annotator,Description,Version,Annotator Approach,Annotator Model
Tokenizer*,Identifies tokens with tokenization open standards,Opensource,-,+
Normalizer*,Removes all dirty characters from text,Opensource,-,+
Stemmer*,Returns hard'-stems out of words with the objective of retrieving the meaningful part of the word,Opensource,+,-
Lemmatizer*,Retrieves lemmas out of words with the objective of returning a base dictionary word,Opensource,-,+
RegexMatcher*,Uses a reference file to match a set of regular expressions and put them inside a provided key.,Opensource,+,+
TextMatcher*,Annotator to match entire phrases (by token) provided in a file against a Document,Opensource,+,+
Chunker*,Matches a pattern of part'-of'-speech tags in order to return meaningful phrases from document,Opensource,+,-
DateMatcher*,Reads from different forms of date and time expressions and converts them to a provided date format,Opensource,+,-
SentenceDetector*,Finds sentence bounds in raw text. Applies rules from Pragmatic Segmenter,Opensou

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class States(Enum):
    # each Value have priority. Need when getting random event we know its more priority then last or not.
    # y = YealinkStates.ANSWER_IN_CALL
    # y = YealinkStates('ANSWER_NEW_IN_CALL')
    # y.name      ->  'ANSWER_IN_CALL'
    # str(y)      ->  'ANSWER_NEW_IN_CALL'
    # y.priority  ->  3
    # y.title     ->  'ANSWER_NEW_IN_CALL'

    INCOMING_CALL = (1, 'INCOMING_CALL')

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from functools import lru_cache, wraps
from datetime import datetime, timedelta

def timed_lru_cache(seconds: int, maxsize: int = 128):
    def wrapper_cache(func):
        func = lru_cache(maxsize=maxsize)(func)
        func.lifetime = timedelta(seconds=seconds)
        func.expiration = datetime.utcnow() + func.lifetime

        @wraps(func)

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Install Prerequisites on ALL (Worker and Master) Nodes

Let's remove any old versions of Docker if they exist:

sudo yum remove docker \
                  docker-common \
                  docker-selinux \
                  docker-engine