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@elsonidoq
elsonidoq / grupos.ipynb
Last active November 9, 2020 14:28
Un algoritmo para armar grupos de estudio parejos
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@elsonidoq
elsonidoq / random_tateti_2.ipynb
Created September 14, 2020 18:01
Random tateti
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@elsonidoq
elsonidoq / random_tateti.ipynb
Created September 14, 2020 17:23
Random ta te ti
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
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):
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)
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():
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Aumentos inflacionarios"
]
},
{