umitanuki

import argparse
import sys
import tempfile
from time import time
import random
from os import listdir
from os.path import isfile, join


import pandas

umitanuki

import matplotlib.pyplot as plt
from datetime import datetime
import alpaca_trade_api as tradeapi
import numpy as np

from positionhandling import positionHandler
import loader

api = tradeapi.REST()

umitanuki

# For this example, we're going to write a simple momentum script.  
# When the stock goes up quickly, we're going to buy; 
# when it goes down we're going to sell.  
# Hopefully we'll ride the waves.

from collections import deque
import math
import talib

atr = ta.ATR(timeperiod=20) # used to calculate 20-day ATR

umitanuki

package main

import "log"
import "net"
import "os"

var gaddr *net.UDPAddr = &net.UDPAddr{IP: net.IPv4(224, 0, 0, 254), Port: 12345}
func listener(c chan int) {
  	logger := log.New(os.Stdout, "[L]", log.Ltime | log.Lshortfile)
	conn, err := net.ListenMulticastUDP("udp", nil, gaddr)

umitanuki

PROG = run
OBJS = main.o

all: $(PROG)

$(PROG): $(OBJS)
  $(CC) -o $(PROG) $(OBJS)

clean:
	rm -f $(PROG) $(OBJS)

umitanuki

PROG = run
OBJS = main.o

all: $(PROG)

$(PROG): $(OBJS)
  $(CC) -o $(PROG) $(OBJS)

clean:
	rm -f $(OBJS) $(PROG)

umitanuki

do $$ declare declare begin for i in 1 .. 1000 loop execute 'create table myt' || i || '(check (id between ' || (i * 99) || ' and ' || (i * 100) || ' )) inherits(size_m)'; end loop; end; $$;

umitanuki

#!/bin/bash

VERSION=`pwd | perl -ne 's/.+postgresql-([^\/]+).*/$1/;print'`
./configure CC="ccache gcc" CFLAGS=-pthread --prefix=$HOME/local/pgsql-$VERSION --enable-debug --enable-cassert
# planner dev
#./configure OPTIMZER_DEBUG=1 CFLAGS=-pthread --prefix=$HOME/local/pgsql-$VERSION --enable-debug --enable-cassert
# mac
#./configure CC="ccache gcc" CFLAGS='-pthread -arch x86_64' --prefix=$HOME/local/pgsql-$VERSION --enable-debug --enable-cassert --with-python

umitanuki

#!/bin/bash

base=$1
version=$2

if [ -z "$base" -o -z "$version" ]
then
  echo "Usage $0 <base> <version>"
else
  rm -f ~/local/$base

umitanuki

create table size_m as select i as id, repeat(i::text, i % 100) as val from generate_series(1, 20000) i;

create table size_l as select i as id, m.id as m_id, repeat(i::text, i % 100) as val from generate_series(1, 1000000) i, size_m m where i.i / 10 = m.id;

--create index idx_m_id on size_l (m_id);

analyze size_m;
analyze size_l;

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