elsonidoq

elsonidoq

elsonidoq

elsonidoq

elsonidoq

elsonidoq

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",

elsonidoq

from time import time
import scipy
from scipy import stats
from math import sqrt
from multiprocessing import current_process

class Progress(object): 
    def __init__(self, tot=None, prefix=None,
                template='sp: %(speed).02fi/s, pr: %(progress).02f%%, rt: %(remaining)s, it: %(iteration_time)s, %(cnt)s of %(tot)s, pt: %(process_time)s', 
                 threaded_cnt= None, print_time=0.25, print_pid=False):

elsonidoq

class mydefaultdict(dict):
    def __init__(self, default, **kwargs):
        super(mydefaultdict, self).__init__(**kwargs)
        self.default = default
        
    def __getitem__(self, item):
        try:
            return super(mydefaultdict, self).__getitem__(item)
        except KeyError:
            val = self.default(item)

elsonidoq

old_db = ... # connect to old db
new_db = ... # connect new migrated db

def bluebook_position_test_data(old_doc, new_doc):
  """
  tests whether old_doc (from bluebook_position) contains the same information than new_doc (from scores)
  """
  # do something here
  
def test_bluebook_position():

elsonidoq

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Aumentos inflacionarios"
   ]
  },
  {