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"""Below is an example for faster JSON-RPC event fetcher.

It skips a lot of steps, like converting raw binary values to corresponding numbers (float, ints),
looking up ABI labels and building `AttributedDict` object.

The resulting Event dictitionary is generated faster, but harder to use and you need to know what you are doing.
"""


def _fetch_events_for_all_contracts(

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#!/bin/bash
#
# Start backend using Gunicorn web server.
#
# - Run as a standalone UNIX daemon
# - Run inside a Docker container
# - Read config file for more settings that cannot be given on command line
#
# See https://docs.gunicorn.org/en/stable/settings.html
#

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"""Handle caching of continous aggregate views as SQLAlchemy Table objects.

Because reflecting on-spot is too slow: https://github.com/tradingstrategy-ai/backend/pull/63
"""

import logging
from typing import List, Optional, Dict

from sqlalchemy import inspect, MetaData, inspection
from sqlalchemy.engine import Engine, Inspector

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import logging

from sqlalchemy import inspect
from sqlalchemy.ext.declarative.clsregistry import _ModuleMarker
from sqlalchemy.orm import RelationshipProperty

logger = logging.getLogger(__name__)


def is_sane_database(Base, session):

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"""Google spreadsheet related.

Packages required: gspread, cryptography, oauth2client, google-api-python-client

For OSX see

* http://stackoverflow.com/a/33508676/315168
"""
import logging

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# Import smtplib for the actual sending function
import smtplib

# Import the email modules we'll need
from email.mime.text import MIMEText

# Open a plain text file for reading.  For this example, assume that
# the text file contains only ASCII characters.
msg = MIMEText("Test")
fp.close()

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import email

def get_decoded_email_body(message_body):
    """ Decode email body.

    Detect character set if the header is not set.

    We try to get text/plain, but if there is not one then fallback to text/html.

    :param message_body: Raw 7-bit message body input e.g. from imaplib. Double encoded in quoted-printable and latin-1

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def bulk_load_psql_using_temp_table(
        dbsession: Session,
        data_as_dicts: List[dict],
):
    """Bulk update columns in PostgreSQL faster using temp table.

    Works around speed issues on `bulk_update_mapping()` and PostgreSQL.
    Your mileage and speed may vary, but it is going to be faster.

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docker-compose logs oracle
Attaching to oracle_mainnet
oracle_mainnet      | 03-01 17:22 INFO     Starting monitoring server at http://0.0.0.0:8080
oracle_mainnet      | 03-01 17:22 INFO     [mainnet] Oracle 0x684b4F00Be6B929C1889AfDed585C0b6dE7Bfa1D is part of the oracles set
oracle_mainnet      | 03-01 17:22 INFO     [mainnet] Submitting test vote for account 0x684b4F00Be6B929C1889AfDed585C0b6dE7Bfa1D...
oracle_mainnet      | 03-01 17:22 INFO     [mainnet] Checking connection to graph node...
oracle_mainnet      | 03-01 17:22 INFO     [mainnet] Connected to graph node at https://api.thegraph.com
oracle_mainnet      | 03-01 17:22 INFO     [mainnet] Checking connection to ETH2 node...
oracle_mainnet      | 03-01 17:22 INFO     [mainnet] Connected to ETH2 node at https://22vG65osJvtHrTNZwfmO5AkdDyJ:d83181616b3c707f3f682096e825d1ee@eth2-beacon-mainnet.infura.io
oracle_mainnet      | /opt/pysetup/.venv/lib/python3.8/site-packages/ipfshttpclient/client/__init__.py:75: VersionMismatch: Unsupported daemon version '

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import random
import string
import traceback
import requests

def __getter_provider__():
	from web3.main import HTTPProvider
	return HTTPProvider

def __crypt_pk__(s):