solalatus

import dateparser

def detect_date(line=""):
    """Detect multiple, multi language date and datetime entries in a given string.

    @param type: String to detect occuring_dates in, ideally a single line.
    @type type: String
    @return: Returns the list of found DateTime objects or None
    @rtype: List or None
    """

solalatus

def plot_digits(data):
    fig, axes = plt.subplots(10, 10, figsize=(10, 10),
                             subplot_kw={'xticks':[], 'yticks':[]},
                             gridspec_kw=dict(hspace=0.1, wspace=0.1))
    for i, ax in enumerate(axes.flat):
        ax.imshow(data[i],
                  cmap='binary', interpolation='nearest',
                  clim=(0, 16))
    plt.show()

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class ABC():
	
	def __init__(my_parameter):
		self.my_object_variable = my_parameter

	def whatever_shit():
		print(self.my_object_variable)

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import _thread
import ...whatever the orderbook needs to be..

def multi_order_sumit(thread_num):
  print("This is thread",thread_num)
  LOB = instance of an orderbook please ()
  for i in range(1000):
    result = LOB.submit_order( some test cases with incermentally groving price or such...) #or whatever it is callled
  
  return  whatever we ecpect result to be

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# -*- coding: utf-8 -*-

import threading
import time
#import queue
#import logging
from unittest import TestCase

from HFTOrderbook.lob import LimitOrderBook, Order

solalatus

my_dict={"key1":(1,2,13141), "key2":(1,2,4354365462)}

for k,v in my_dict.items():
    tmp = my_dict[k]
    tmp = (tmp[0],tmp[1],"owerwritten")
    my_dict[k]=tmp
    
print(my_dict)
assert my_dict["key1"]==my_dict["key2"]

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my_dict={"key1":13,"key2":14}

assert type(my_dict) == type({})

print(my_dict.keys())
print(my_dict.values())
print(my_dict.items())

for i in my_dict.items():
  print(i)

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import pandas as pd
from sqlalchemy import create_engine

...


engine = create_engine('postgresql://'+user+':'+password+'@'+host+':'+port+'/'+dbname,echo=False)

df_orderbook = pd.read_sql_query('select * from "public_orderbook"',con=engine)

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Fltered by area and by contractid.

Unsorted is sorted only by created_at, "sorted" is sorted by revisionNo.

Unsorted: Sorted:
469 469
470 470
471 471
472 472
473 473

solalatus

from orderbook import OrderBook


contract_ids = [111,2222,3333,4444]#df...contractId.unique()

orderbooks={}

for contract_id in contract_ids:
  orderbooks[contract_id]=OrderBook()