skeller88

module.exports = function(grunt) {
  // Project configuration.
    grunt.initConfig({
        pkg: grunt.file.readJSON('package.json'),

        clean: {
            build: {
                src: ['dist/']
            }
        },

skeller88

    @Test
    public void testShouldMatch() throws Exception {
        Collection<ValidationError> validationErrors = Lists.newArrayList();

        List<String> shouldMatch = new ArrayList<>(Arrays.asList(
                "http://مثال.إختبار",
                "http://userid@example.com",
                "http://-.~_!$&'()*+,;=:%40:80%2f::::::@example.com",
                "http://उदाहरण.परीक्षा",
                "ftps://foo.com",

skeller88

<div class="sk-legend-wrapper" ng-show="isLegendShown"> 
    <div kendo-window="chartLegend" k-title="'Legend'" k-visible="false" k-on-open="chartLegendVisible = true" k-on-close="chartLegendVisible = false">
        <div class="sk-legend-content k-content" kendo-tab-strip="" k-options="tabStripOptions">
            <!-- tab list -->
            <ul>
              <li class="k-state-active">Career Names</li>
              <li>Bubbles</li>
            </ul>
            <div class="sk-legend-careers">
               <ul>

skeller88

aiodns==1.1.1
aiohttp==3.0.1
alembic==0.9.7
appnope==0.1.0
async-timeout==2.0.0
attrdict==2.0.0
attrs==17.4.0
backcall==0.1.0
bcolz==1.2.1
bleach==2.1.3

skeller88

from typing import Dict

# Start
# binance - 2 BTC
# bittrex - 4 ETH
# allocations: {
#   'free': {'binance': {'BTC': 2}, 'bittrex: {'ETH': 4} }
# }

# receive arbitrage signal for BTC and ETH

skeller88

if __name__ == '__main__':
    lock = threading.Lock()

    def watch(num):
        while True:
            sleep(random.randint(0,5))
            acquired = lock.acquire(blocking=False)
            if acquired:
                print('\n')
                print(num, 'acquired lock')

skeller88

size is in bytes

trade update json {"exchange_channel_name": "trades", "symbol": "BTCUSD", "exchange_create_timestamp": 1533930346.634666, "app_create_timestamp": 1533955546.635748, "schema_name": "bitfinex_messages_trade_update", "schema_version": 0, "channel_id": 30, "trade_message_type": "te", "trade": {"trade_id": 278290579, "exchange_trade_timestamp": 1533930346500, "amount": 0.075, "price": 6385.7}} 
 size 422

order snapshot json {"exchange_channel_name": "book", "symbol": "BTCUSD", "exchange_create_timestamp": 1533930339.132575, "app_create_timestamp": 1533955539.133975, "schema_version": 0, "schema_name": "bitfinex_messages_orderbook_snapshot", "orders": [{"price": 6385.6, "count": 4, "amount": 2.8684482}, {"price": 6385.5, "count": 1, "amount": 0.15}, {"price": 6385.1, "count": 2, "amount": 3.69599999}, {"price": 6385, "count": 1, "amount": 1.06845933}, {"price": 6384.7, "count": 1, "amount": 0.05}, {"price": 6384.3, "count": 2, "amount": 0.59966192}, {"price": 6384.2, "count": 1, 

skeller88

def main(start_datetime_str: str, end_datetime_str: Optional[str],
         base_currency: str, quote_currency: str):
    url = f"https://api-pub.bitfinex.com/v2/candles/trade:1h:t{base_currency}{quote_currency}/hist"

    params = {
        "limit": 5000,
        "sort": 1,
        "start": datetime.datetime.strptime(start_datetime_str, strftime_days).timestamp() * 1000,
        "end": datetime.datetime.strptime(end_datetime_str, strftime_days).timestamp() * 1000
    }

skeller88

import dask
import dask.array as da
from distributed import Client

import gcsfs
import imageio
import numpy as np
import time

skeller88

import json
import time
import warnings

import numpy as np
from tensorflow.keras.callbacks import ModelCheckpoint


class ModelCheckpointGCS(ModelCheckpoint):
    """