content stringlengths 7 1.05M |
|---|
n = int(input())
arr = [int(x) for x in input().split()]
counter = [0]*1001
for i in range(n):
counter[arr[i]] += 1
counts = []
for i in range(1001):
if counter[i] > 0:
counts.append((counter[i],i))
counts.sort(key=lambda x: (-x[0], x[1]))
q = []
for freq,i in counts:
q.extend([i]*freq)
j = 0
out = [None]*n
for i in range(0,n,2):
out[i] = q[j]
j += 1
for i in range(1,n,2):
out[i] = q[j]
j += 1
# print(out)
msg = "YES"
for i in range(1,n):
if out[i] == out[i-1]:
msg = "NO"
break
print(msg)
|
"""Ex015 Escreva um programa que pergunte a quantidade de km percorridos por um
carro alugado e a quantidade de dias pelos quais ele foi alugado. Calcule o
preço a pagar, sabendo que o carro custa R$60 por dia e R$0.15 por km rodado."""
km = int(input('Qual a distância percorrida? (km)'))
dia = int(input('Quantos dias ele foi alugado? '))
valor = (dia * 60) + (0.15 * km)
print(f'Valor a pagar R${valor:.2f}') |
def testIter(encoder, decoder, sentence, word2ix, ix2word, max_length=20):
input_variable = sentence
input_length = input_variable.size()[0]
encoder_hidden = encoder.initHidden()
encoder_outputs = Variable(torch.zeros(max_length, encoder.hidden_size))
if use_cuda:
encoder_outputs = encoder_outputs.cuda()
for ei in range(input_length):
encoder_output, encoder_hidden = encoder(input_variable[ei],
encoder_hidden)
encoder_outputs[ei] = encoder_outputs[ei] + encoder_output[0][0]
decoder_input = Variable(torch.LongTensor([[BOS_TOKEN_ix]]))
if use_cuda:
decoder_input = decoder_input.cuda()
decoder_hidden = encoder_hidden
decoded_words = []
if decoder.attn_status:
decoder_attentions = torch.zeros(max_length, max_length)
for di in range(max_length):
if decoder.attn_status:
decoder_output, decoder_hidden, decoder_attention = decoder(
decoder_input, decoder_hidden, encoder_outputs)
decoder_attentions[di] = decoder_attention.data
else:
decoder_output, decoder_hidden = decoder(decoder_input, decoder_hidden)
topv, topi = decoder_output.data.topk(1)
ni = topi[0][0]
if ni == EOS_TOKEN_ix:
decoded_words.append(EOS_TOKEN)
break
else:
decoded_words.append(ix2word[str(ni)])
decoder_input = Variable(torch.LongTensor([[ni]]))
if use_cuda:
decoder_input = decoder_input.cuda()
if decoder.attn_status:
return decoded_words, decoder_attentions[:di + 1]
else:
return decoded_words
def testModel(encoder, decoder, dataset, word2ix, ix2word,
n=10, max_length=20):
for i in range(n):
pair = random.choice(dataset)
input_str = ''.join(e for e in \
preprocessing.convertIndexSentenceToWord(pair['input']))
target_str = ''.join(e for e in \
preprocessing.convertIndexSentenceToWord(pair['target']))
print('>', input_str)
print('=', target_str)
temp = Variable(torch.LongTensor(pair['input']).view(-1, 1))
if USE_CUDA:
temp = temp.cuda()
output_words, attentions = evaluate(encoder, decoder, temp,
word2ix, ix2word,
max_length=max_length)
output_sentence = ' '.join(output_words)
print('<', output_sentence)
print('')
encoder.load_state_dict(torch.load("encoder.ckpt"))
decoder.load_state_dict(torch.load("decoder.ckpt")) |
"""
Faça um Programa que leia um vetor de 10 caracteres, e diga quantas
consoantes foram lidas. Imprima as consoantes.
"""
caracteres = [ "f", "k", "i", "b", "i", "f", "j", "e", "a", "z" ]
quant_consoantes = 0
lista_consoantes = caracteres.copy()
for char in caracteres:
if char != "a" and char != "e" and char != "i" and char != "o" and char != "u":
quant_consoantes+=1
else:
lista_consoantes.remove(char)
print(f"Foram lidas {quant_consoantes}. Foram elas: ")
print(lista_consoantes)
|
# -*- coding: utf-8 -*-
# Part of BrowseInfo. See LICENSE file for full copyright and licensing details.
{
"name" : "Hospital Management in Odoo/OpenERP",
"version" : "12.0.0.3",
"summary": "Hospital Management",
"category": "Industries",
"description": """
BrowseInfo developed a new odoo/OpenERP module apps.
This module is used to manage Hospital Mangement.
Also use for manage the healthcare management, Clinic management, Medical Management.Doctor's Clinic. Clinic software, oehealth. hospital system
Health Center Management
Hospital Buildings Management
Apothecary
clinic
dispensary management
Domiciliary Units
Patient - OutPatient Admissions
Patient - InPatient Admissions
Vaccines
Call Logs
Physicians & Appointments
Physicians Management
Appointments
Prescriptions
Evaluations
Pediatrics
Newborns
Surgeries
Insurances
Laboratory
Lab Tests
Imaging
Imaging Tests
Configuration
Physicians
Specialties
Degrees
Laboratory
Pathology
Diseases
Disease Categories
Health & Products
Medicines
Hospital Management System
Healthcare Management System
Clinic Management System
Appointment Management System
health care
This module is used to manage Hospital and Healthcare Management and Clinic Management apps.
manage clinic manage Patient hospital in odoo manage Healthcare system Patient Management,
Odoo Hospital Management odoo Healthcare Management Odoo Clinic Management
Odoo hospital Patients
Odoo Healthcare Patients Card Report
Odoo Healthcare Patients Medication History Report
Odoo Healthcare Appointments
Odoo hospital Appointments Invoice
Odoo Healthcare Families Prescriptions Healthcare Prescriptions
Odoo Healthcare Create Invoice from Prescriptions odoo hospital Prescription Report
Odoo Healthcare Patient Hospitalization
odoo Hospital Management System
Odoo Healthcare Management System
Odoo Clinic Management System
Odoo Appointment Management System
health care management system
Generate Report for patient details, appointment, prescriptions, lab-test
Odoo Lab Test Request and Result
Odoo Patient Hospitalization details
Generate Patient's Prescriptions
""" ,
"depends" : ["base", "sale", "stock", "account"],
"data": [
'security/hospital_groups.xml',
'data/ir_sequence_data.xml',
'views/assets.xml',
'views/login_page.xml',
'views/main_menu_file.xml',
'wizard/medical_appointments_invoice_wizard.xml',
'views/medical_appointment.xml',
'views/medical_appointment_request.xml',
'wizard/appointment_start_end_wizard.xml',
'wizard/create_prescription_invoice_wizard.xml',
'wizard/create_prescription_shipment_wizard.xml',
'wizard/medical_bed_transfer_wizard.xml',
'wizard/medical_health_services_invoice_wizard.xml',
'wizard/multiple_test_request_wizard.xml',
'views/medical_ambulatory_care_procedure.xml',
'views/medical_directions.xml',
'views/medical_family_code.xml',
'wizard/medical_lab_test_create_wizard.xml',
'views/medical_speciality.xml',
'views/medical_dose_unit.xml',
'views/medical_medicament.xml',
'views/medical_drug_form.xml',
'views/medical_drug_route.xml',
'views/medical_drugs_recreational.xml',
'views/medical_ethnicity.xml',
'views/medical_family_disease.xml',
'views/medical_genetic_risk.xml',
'views/medical_health_service_line.xml',
'views/medical_health_service.xml',
'views/medical_hospital_bed.xml',
'views/medical_hospital_building.xml',
'views/medical_hospital_oprating_room.xml',
'views/medical_hospital_unit.xml',
'views/medical_hospital_ward.xml',
'views/medical_inpatient_registration.xml',
'views/medical_inpatient_icu.xml',
'views/medical_icu_apache2_.xml',
'views/medical_icu_ecg.xml',
'views/medical_icu_glasgow.xml',
'views/medical_inpatient_medication.xml',
'views/medical_insurance_plan.xml',
'views/medical_insurance.xml',
'wizard/medical_lab_test_invoice_wizard.xml',
'views/medical_lab_test_units.xml',
'views/medical_patient_lab_test.xml',
'views/medical_lab.xml',
'views/medical_neomatal_apgar.xml',
'views/medical_newborn.xml',
'views/medical_occupation.xml',
'views/medical_operational_area.xml',
'views/medical_operational_sector.xml',
'views/medical_pathology_category.xml',
'views/medical_pathology_group.xml',
'views/medical_pathology.xml',
'views/medical_patient_ambulatory_care.xml',
'views/medical_patient_disease.xml',
'views/medical_patient_evaluation.xml',
'views/medical_patient_medication.xml',
'views/medical_patient_medication1.xml',
'views/medical_patient_pregnancy.xml',
'views/medical_patient_prental_evolution.xml',
'views/medical_patient_psc.xml',
'views/medical_patient.xml',
'views/medical_physician.xml',
'views/medical_preinatal.xml',
'views/medical_prescription_line.xml',
'views/medical_prescription_order.xml',
'views/medical_procedure.xml',
'views/medical_puerperium_monitor.xml',
'views/medical_rcri.xml',
'views/medical_rounding_procedure.xml',
'views/medical_surgey.xml',
'views/medical_test_critearea.xml',
'views/medical_test_type.xml',
'views/medical_vaccination.xml',
'views/medicament_category.xml',
'views/res_partner.xml',
'wizard/medical_imaging_test_request_wizard.xml',
'views/medical_imaging_test_request.xml',
'views/medical_imaging_test_result.xml',
'views/medical_imaging_test_type.xml',
'views/medical_imaging_test.xml',
'report/report_view.xml',
'report/appointment_recipts_report_template.xml',
'report/medical_view_report_document_lab.xml',
'report/medical_view_report_lab_result_demo_report.xml',
'report/newborn_card_report.xml',
'report/patient_card_report.xml',
'report/patient_diseases_document_report.xml',
'report/patient_medications_document_report.xml',
'report/patient_vaccinations_document_report.xml',
'report/prescription_demo_report.xml',
'security/ir.model.access.csv',
],
"author": "BrowseInfo",
"website": "http://www.browseinfo.in",
'live_test_url':'https://www.youtube.com/watch?v=Hm3N81kdp_c&t=2s',
"price": 89,
"currency": "EUR",
"installable": True,
"application": True,
"auto_install": False,
"images":["static/description/Banner.png"],
}
# vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4:
|
#!/usr/bin/python
'''
From careercup.com
Write a pattern matching function using wild char
? Matches any char exactly one instance
* Matches one or more instances of previous char
Ex text = "abcd" pattern = "ab?d" True
Ex text = "abccdddef" pattern = "ab?*f" True
Ex text = "abccd" pattern = "ab?*ccd" false
(added missing cases, making assumptions for ambiguity)
Ex text = "abcd" pattern = "a*cd" False
Ex text = "abbbbcd" pattern = "ab*cd" True
Ex text = "aabbccdd" pattern = "a?*" and "?*" True
Not sure what to do with '?*?', ignoring
'''
def pattern_match(text, pattern):
if pattern[0] == '*':
return False # invalid pattern
i_txt = 0
i_pat = 0
prv_ch = ''
while (i_txt < len(text)):
if pattern[i_pat] not in ('?','*'):
if pattern[i_pat] != text[i_txt]:
return False
prv_ch = text[i_txt] # save in case of '*' next
i_pat += 1
i_txt += 1
elif pattern[i_pat] == '?':
prv_ch = '?' # save in case of '*' next
i_pat += 1
i_txt += 1
elif pattern[i_pat] == '*':
if prv_ch != '?':
while i_txt < len(text) and text[i_txt] == prv_ch:
i_txt += 1
i_pat += 1
else:
# end '?*' on next character match
# if no next character, return true (right?)
if i_pat + 1 == len(pattern):
return True
# find next char in pattern
i_pat += 1
assert pattern[i_pat] != '?', "do not handle ?*? yet"
while i_txt < len(text) and text[i_txt] != pattern[i_pat]:
i_txt += 1
# if not at end of pattern fail (except if '*')
if i_pat != len(pattern) and not (i_pat == len(pattern) - 1 and pattern[i_pat] == '*'):
return False
return True
s = "hello"
assert(pattern_match(s,"hello") is True)
assert(pattern_match(s,"h3ll0") is False)
assert(pattern_match(s,"h?llo") is True)
assert(pattern_match(s,"?????") is True)
assert(pattern_match(s,"h??lo") is True)
assert(pattern_match(s,"h?el?") is False)
assert(pattern_match(s,"hel*?") is True)
assert(pattern_match(s,"hel*o") is True)
assert(pattern_match(s,"he*o") is False)
assert(pattern_match(s,"hel*o*") is True)
assert(pattern_match(s,"h?*") is True)
assert(pattern_match(s,"h?*o") is True)
assert(pattern_match(s,"h?*llo") is True)
assert(pattern_match(s,"?*o") is True)
assert(pattern_match(s,"hel?*f") is False)
|
# -*- coding: utf-8 -*-
"""
lytics
~~~~~~
Main file for lytics app.
Usage: python lyrics.py
:copyright: (c) 2016 by Patrick Spencer.
:license: Apache 2.0, see LICENSE for more details.
"""
|
frase = str(input('Digite uma frase:\n->')).strip()
separado = frase.split()
junto = ''.join(separado)
correto = list(junto.upper())
invertido = list(reversed(junto.upper()))
print(correto)
print(invertido)
if correto == invertido:
print('verdadeiro')
else:
print('falso')
|
# Copied from https://rosettacode.org/wiki/Trabb_Pardo%E2%80%93Knuth_algorithm#Python
def f(x):
return abs(x) ** 0.5 + 5 * x**3
def ask():
return [float(y)
for y in input('\n11 numbers: ').strip().split()[:11]]
if __name__ == '__main__':
s = ask()
s.reverse()
for x in s:
result = f(x)
if result > 400:
print(' %s:%s' % (x, "TOO LARGE!"), end='')
else:
print(' %s:%s' % (x, result), end='')
print('')
|
def toBaseTen(n, base):
'''
This function takes arguments: number that you want to convert and its base
It will return an int in base 10
Examples:
..................
>>> toBaseTen(2112, 3)
68
..................
>>> toBaseTen('AB12', 12)
61904
..................
>>> toBaseTen('AB12', 16)
111828
..................
'''
baseTen = 0
num = str(num)
for i in range(len(num)):
baseTen += base ** (len(num) - 1 - i) * int(num[i], 36)
return baseTen
def toAnyBase(num, base):
'''
This function takes 2 arguments: number (in base 10, if you have number in any other base,
please use toBaseTen function first to get get your number in base 10) and base that you
want to convert your number to.
It will return a string
Examples:
..................
>>> toAnyBase(23412,30)
'Q0C'
..................
>>> toAnyBase(23412,15)
'6E0C'
..................
>>> toAnyBase(12, 2)
'1100'
'''
bases = '0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ'
if num < base:
return bases[num]
else:
return toAnyBase(num // base, base) + bases[num % base] |
class Solution(object):
def maxProfit(self, prices):
"""
:type prices: List[int]
:rtype: int
"""
buying_price = prices[0]
max_profit = 0
for i in range(1, len(prices)):
profit = prices[i] - buying_price
if max_profit < profit:
max_profit = profit
elif prices[i] < buying_price:
buying_price = prices[i]
return max_profit
|
vc = float(input('Qual o valor da casa: R$'))
s = float(input('Qual o seu salario'))
a = int(input('Em quantos anos voce quer pagar :'))
m = a * 12
p = vc/m
if s*(30/100) >= p :
print ('O emprestimo sera feito em {} anos com prestacoes mensais de R${:.2f} e foi aprovado '.format(a,p))
else:
print(' Emprestimo nao aprovado a prestacao de R${:.2f} e passa dos 30% so seu salario'.format(p))
|
"""
Given a binary search tree (BST) with duplicates, find all the mode(s) (the most frequently occurred element) in the given BST.
Assume a BST is defined as follows:
The left subtree of a node contains only nodes with keys less than or equal to the node's key.
The right subtree of a node contains only nodes with keys greater than or equal to the node's key.
Both the left and right subtrees must also be binary search trees.
For example:
Given BST [1,null,2,2],
1
\
2
/
2
return [2].
Note: If a tree has more than one mode, you can return them in any order.
Follow up: Could you do that without using any extra space? (Assume that the implicit stack space incurred due to recursion does not count).
"""
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution(object):
def findMode(self, root):
"""
:type root: TreeNode
:rtype: List[int]
"""
def track(root, tr):
if root is None:
return
if root.val not in tr:
tr[root.val] = 0
tr[root.val] += 1
track(root.left, tr)
track(root.right, tr)
tr = {}
track(root, tr)
m = None
r = []
for v, c in tr.iteritems():
if m is None or c > m:
m = c
r = [v]
elif c == m:
r.append(v)
return r |
grid = [
[0, 1, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0],
]
goal = [len(grid) - 1, len(grid[0]) - 1]
cost = 1 # the cost associated with moving from a cell to an adjacent one
delta = [
[-1, 0], # go up
[0, -1], # go left
[1, 0], # go down
[0, 1],
] # go right
delta_name = ["^", "<", "v", ">"]
def compute_value(grid, goal, cost):
value = [[99 for row in range(len(grid[0]))] for col in range(len(grid))]
policy = [[" " for row in range(len(grid[0]))] for col in range(len(grid))]
change = True
while change:
change = False
for x in range(len(grid)):
for y in range(len(grid[0])):
# If it is goal
if goal[0] == x and goal[1] == y:
if value[x][y] > 0:
value[x][y] = 0
policy[x][y] = "*"
change = True
# If it is navigable
elif grid[x][y] == 0:
for a in range(len(delta)):
x2 = x + delta[a][0]
y2 = y + delta[a][1]
if (
x2 >= 0
and x2 < len(grid)
and y2 >= 0
and y2 < len(grid[0])
and grid[x2][y2] == 0
):
v2 = value[x2][y2] + cost
if v2 < value[x][y]:
change = True
value[x][y] = v2
policy[x][y] = delta_name[a]
for i in range(len(value)):
print(value[i])
for i in range(len(value)):
print(policy[i])
# make sure your function returns a grid of values as
# demonstrated in the previous video.
return value
compute_value(grid, goal, cost)
|
## Read input as specified in the question.
## Print output as specified in the question.
# Pattern 1-212-32123...
# Reading number of rows
row = int(input())
# Generating pattern
for i in range(1,row+1):
# for space
for j in range(1, row+1-i):
print(' ', end='')
# for decreasing pattern
for j in range(i,0,-1):
print(j, end='')
# for increasing pattern
for j in range(2,i+1):
print(j, end='')
# Moving to next line
print()
|
# This file implements some custom exceptions that can
# be used by all bots.
# We avoid adding these exceptions to lib.py, because the
# current architecture works by lib.py importing bots, not
# the other way around.
class ConfigValidationError(Exception):
"""
Raise if the config data passed to a bot's validate_config()
is invalid (e.g. wrong API key, invalid email, etc.).
"""
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
def run():
print("run")
main()
return None
def aaa():
print("aaa")
return None
def main():#
print ("Hello, test is running")
if __name__ == '__main__':
main()
|
class GradientBoostingMachine():
def __init__(self, nEstimators = 100):
self.nEstimators = nEstimators
if __name__ == '__main__':
gbm = GradientBoostingMachine(nEstimators=10)
|
def exp_sum(n):
p = n
# calculation taken from here
# https://math.stackexchange.com/questions/2675382/calculating-integer-partitions
def pentagonal_number(k):
return int(k * (3 * k - 1) / 2)
def compute_partitions(goal):
partitions = [1]
for n in range(1, goal + 1):
partitions.append(0)
for k in range(1, n + 1):
coeff = (-1) ** (k + 1)
for t in [pentagonal_number(k), pentagonal_number(-k)]:
if (n - t) >= 0:
partitions[n] = partitions[n] + coeff * partitions[n - t]
return partitions
return (compute_partitions(n))[-1] |
# Copyright 2018 The Bazel Authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Actions that cover historical needs as things migrate."""
load(
"@build_bazel_apple_support//lib:apple_support.bzl",
"apple_support",
)
load(
"@build_bazel_rules_apple//apple/internal:platform_support.bzl",
"platform_support",
)
def _add_dicts(*dictionaries):
"""Adds a list of dictionaries into a single dictionary."""
# If keys are repeated in multiple dictionaries, the latter one "wins".
result = {}
for d in dictionaries:
result.update(d)
return result
def _kwargs_for_apple_platform(
ctx,
*,
platform_prerequisites,
**kwargs):
"""Returns a modified dictionary with required arguments to run on Apple platforms."""
processed_args = dict(kwargs)
env_dicts = []
original_env = processed_args.get("env")
if original_env:
env_dicts.append(original_env)
# This is where things differ from apple_support.
# TODO(b/161370390): Eliminate need to make platform_prerequisites optional when all calls to
# run and run_shell with a ctx argument are eliminated.
if platform_prerequisites:
platform = platform_prerequisites.platform
xcode_config = platform_prerequisites.xcode_version_config
action_execution_requirements = apple_support.action_required_execution_requirements(
xcode_config = xcode_config,
)
else:
platform = platform_support.platform(ctx)
xcode_config = ctx.attr._xcode_config[apple_common.XcodeVersionConfig]
action_execution_requirements = apple_support.action_required_execution_requirements(ctx)
env_dicts.append(apple_common.apple_host_system_env(xcode_config))
env_dicts.append(apple_common.target_apple_env(xcode_config, platform))
execution_requirement_dicts = []
original_execution_requirements = processed_args.get("execution_requirements")
if original_execution_requirements:
execution_requirement_dicts.append(original_execution_requirements)
# Add the action execution requirements last to avoid clients overriding this value.
execution_requirement_dicts.append(action_execution_requirements)
processed_args["env"] = _add_dicts(*env_dicts)
processed_args["execution_requirements"] = _add_dicts(*execution_requirement_dicts)
return processed_args
def _run(
ctx = None,
*,
actions = None,
platform_prerequisites = None,
**kwargs):
"""Executes a Darwin-only action with the necessary platform environment.
Note: The env here is different than apple_support's run/run_shell in that uses
ctx.fragments.apple.single_arch_platform, where here we look up the platform off some locally
define attributes. The difference being apple_support's run/run_shell are used in context where
all transitions have already happened; but this is meant to be used in bundling, where we are
before any of those transitions, and so the rule must ensure the right platform/arches are being
used itself.
TODO(b/121134880): Once we have support Starlark defined rule transitions, we can migrate usages
of this wrapper to apple_support's run/run_shell, as we'll add a rule transition so that the
rule context gets the correct platform value configured.
Args:
ctx: The Starlark context. Deprecated.
actions: The actions provider from ctx.actions.
platform_prerequisites: Struct containing information on the platform being targeted.
**kwargs: Arguments to be passed into ctx.actions.run.
"""
# TODO(b/161370390): Eliminate need to make actions and platform_prerequisites optional when all
# calls to this method with a ctx argument are eliminated.
if not actions:
actions = ctx.actions
actions.run(**_kwargs_for_apple_platform(
ctx = ctx,
platform_prerequisites = platform_prerequisites,
**kwargs
))
def _run_shell(
ctx = None,
*,
actions = None,
platform_prerequisites = None,
**kwargs):
"""Executes a Darwin-only action with the necessary platform environment.
Note: The env here is different than apple_support's run/run_shell in that uses
ctx.fragments.apple.single_arch_platform, where here we look up the platform off some locally
define attributes. The difference being apple_support's run/run_shell are used in context where
all transitions have already happened; but this is meant to be used in bundling, where we are
before any of those transitions, and so the rule must ensure the right platform/arches are being
used itself.
TODO(b/121134880): Once we have support Starlark defined rule transitions, we can migrate usages
of this wrapper to apple_support's run/run_shell, as we'll add a rule transition so that the
rule context gets the correct platform value configured.
Args:
ctx: The Starlark context. Deprecated.
actions: The actions provider from ctx.actions.
platform_prerequisites: Struct containing information on the platform being targeted.
**kwargs: Arguments to be passed into ctx.actions.run_shell.
"""
# TODO(b/161370390): Eliminate need to make actions and platform_prerequisites optional when all
# calls to this method with a ctx argument are eliminated.
if not actions:
actions = ctx.actions
actions.run_shell(**_kwargs_for_apple_platform(
ctx = ctx,
platform_prerequisites = platform_prerequisites,
**kwargs
))
# Define the loadable module that lists the exported symbols in this file.
legacy_actions = struct(
run = _run,
run_shell = _run_shell,
)
|
def encode_for_get_list(src_data, thats_all_flag, default_keys, items_fetcher, item_handler):
if not isinstance(src_data, dict):
src_data = {"*": None}
result = {}
unknown_flag = False
for name, value in src_data.items():
if name == "*":
for name2 in items_fetcher():
if not name2 in src_data:
if value != None and value != {}:
result[name2] = item_handler(name2, value)
elif value == None and name2 in default_keys:
result[name2] = item_handler(name2, None)
else:
result[name2] = {}
unknown_flag = True
else:
d = item_handler(name, value)
if d != None:
result[name] = d
if unknown_flag and thats_all_flag:
result["*"] = None
return result
def encode_for_get_resource(data):
return encode_for_get_resource2(None, data, False)
def encode_for_get_resource2(src_data, curr_data, thats_all_flag):
if not isinstance(curr_data, dict):
return curr_data
if not isinstance(src_data, dict):
src_data = {"*": None}
result = {}
unknown_flag = False
for name, value in src_data.items():
if name == "*":
if value == None:
for name2, value2 in curr_data.items():
if not name2 in src_data:
result[name2] = encode_for_get_resource2(value, value2, thats_all_flag)
unknown_flag = True
elif name in curr_data:
result[name] = encode_for_get_resource2(value, curr_data[name], thats_all_flag)
else:
pass
if unknown_flag and thats_all_flag:
result["*"] = None
return result
def decode_for_put(src_data):
if isinstance(src_data, str):
return src_data
if not isinstance(src_data, dict):
return src_data
src_data2 = {}
for name, value in src_data.items():
if name == "*":
continue
src_data2[name] = decode_for_put(value)
return src_data2
|
#!/usr/bin/python
def generateSet(name, value, type, indentationLevel):
finalLine = " "*indentationLevel
finalLine += name
finalLine += " = "
if type == 'string':
# Whatever you use for defining strings (either single, double, etc.)
finalLine += '"' + value + '"'
else:
finalLine += value
finalLine += "\n"
return finalLine
def generateIf(comparison, leftHandType, leftHandValue, rightHandType, rightHandValue, indentationLevel):
finalLine = " " * indentationLevel
finalLine += "if "
if leftHandType == "string":
finalLine += '"' + leftHandValue + '"'
else:
finalLine += leftHandValue
if comparison == "equals":
finalLine += " == "
if rightHandType == "string":
finalLine += '"' + rightHandValue + '"'
else:
finalLine += rightHandValue
finalLine += ":\n"
return finalLine
def generateEndIf(indentationLevel):
finalLine = " "*indentationLevel
finalLine += "\n"
return finalLine |
'''variabile'''
"""a=8
a+=7
a=24
b=3
b-=2
c=2
d=2
nume = "it factory"
a,b,c =1,2,3
print(a+b)
print(a/b)
print(a//b)
print(a%b)
print(a)
print(b)
print(c**d)
"""
check = False
if 8>7:
check = True
print(check)
print(type(check))
nume="ioan vasile anton"
print(nume[0])
print(nume[5:11])
print(nume[0:10:2])
print(len(nume))
print(nume[len(nume)-1])
print(nume[::-2])
print(nume.capitalize())
print(nume.upper())
print(nume.lower())
print(nume.replace("vasile","petruta"))
print(nume.count("a",0,17))
|
#
# PySNMP MIB module SIP-COMMON-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/SIP-COMMON-MIB
# Produced by pysmi-0.3.4 at Wed May 1 15:04:21 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
ObjectIdentifier, Integer, OctetString = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "Integer", "OctetString")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ValueSizeConstraint, ValueRangeConstraint, ConstraintsIntersection, ConstraintsUnion, SingleValueConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "ValueRangeConstraint", "ConstraintsIntersection", "ConstraintsUnion", "SingleValueConstraint")
InetPortNumber, = mibBuilder.importSymbols("INET-ADDRESS-MIB", "InetPortNumber")
applIndex, = mibBuilder.importSymbols("NETWORK-SERVICES-MIB", "applIndex")
SipTCTransportProtocol, SipTCEntityRole, SipTCOptionTagHeaders, SipTCMethodName = mibBuilder.importSymbols("SIP-TC-MIB", "SipTCTransportProtocol", "SipTCEntityRole", "SipTCOptionTagHeaders", "SipTCMethodName")
SnmpAdminString, = mibBuilder.importSymbols("SNMP-FRAMEWORK-MIB", "SnmpAdminString")
ModuleCompliance, NotificationGroup, ObjectGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup", "ObjectGroup")
Bits, ModuleIdentity, IpAddress, NotificationType, Gauge32, TimeTicks, MibScalar, MibTable, MibTableRow, MibTableColumn, iso, mib_2, Unsigned32, ObjectIdentity, MibIdentifier, Counter64, Counter32, Integer32 = mibBuilder.importSymbols("SNMPv2-SMI", "Bits", "ModuleIdentity", "IpAddress", "NotificationType", "Gauge32", "TimeTicks", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "iso", "mib-2", "Unsigned32", "ObjectIdentity", "MibIdentifier", "Counter64", "Counter32", "Integer32")
RowStatus, TextualConvention, TimeStamp, TruthValue, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "RowStatus", "TextualConvention", "TimeStamp", "TruthValue", "DisplayString")
sipCommonMIB = ModuleIdentity((1, 3, 6, 1, 2, 1, 149))
sipCommonMIB.setRevisions(('2007-04-20 00:00',))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts: sipCommonMIB.setRevisionsDescriptions(('Initial version of the IETF SIP-COMMON-MIB module. This version published as part of RFC 4780.',))
if mibBuilder.loadTexts: sipCommonMIB.setLastUpdated('200704200000Z')
if mibBuilder.loadTexts: sipCommonMIB.setOrganization('IETF Session Initiation Protocol Working Group')
if mibBuilder.loadTexts: sipCommonMIB.setContactInfo('SIP WG email: sip@ietf.org Co-editor Kevin Lingle Cisco Systems, Inc. postal: 7025 Kit Creek Road P.O. Box 14987 Research Triangle Park, NC 27709 USA email: klingle@cisco.com phone: +1 919 476 2029 Co-editor Joon Maeng email: jmaeng@austin.rr.com Co-editor Jean-Francois Mule CableLabs postal: 858 Coal Creek Circle Louisville, CO 80027 USA email: jf.mule@cablelabs.com phone: +1 303 661 9100 Co-editor Dave Walker email: drwalker@rogers.com')
if mibBuilder.loadTexts: sipCommonMIB.setDescription('Session Initiation Protocol (SIP) Common MIB module. This module defines objects that may be common to all SIP entities. SIP is an application-layer signaling protocol for creating, modifying and terminating multimedia sessions with one or more participants. These sessions include Internet multimedia conferences and Internet telephone calls. SIP is defined in RFC 3261 (June 2002). This MIB is defined for managing objects that are common to SIP User Agents (UAs), Proxy, Redirect, and Registrar servers. Objects specific to each of these entities MAY be managed using entity specific MIBs defined in other modules. Copyright (C) The IETF Trust (2007). This version of this MIB module is part of RFC 4780; see the RFC itself for full legal notices.')
sipCommonMIBNotifications = MibIdentifier((1, 3, 6, 1, 2, 1, 149, 0))
sipCommonMIBObjects = MibIdentifier((1, 3, 6, 1, 2, 1, 149, 1))
sipCommonMIBConformance = MibIdentifier((1, 3, 6, 1, 2, 1, 149, 2))
sipCommonCfgBase = MibIdentifier((1, 3, 6, 1, 2, 1, 149, 1, 1))
sipCommonCfgTimer = MibIdentifier((1, 3, 6, 1, 2, 1, 149, 1, 2))
sipCommonSummaryStats = MibIdentifier((1, 3, 6, 1, 2, 1, 149, 1, 3))
sipCommonMethodStats = MibIdentifier((1, 3, 6, 1, 2, 1, 149, 1, 4))
sipCommonStatusCode = MibIdentifier((1, 3, 6, 1, 2, 1, 149, 1, 5))
sipCommonStatsTrans = MibIdentifier((1, 3, 6, 1, 2, 1, 149, 1, 6))
sipCommonStatsRetry = MibIdentifier((1, 3, 6, 1, 2, 1, 149, 1, 7))
sipCommonOtherStats = MibIdentifier((1, 3, 6, 1, 2, 1, 149, 1, 8))
sipCommonNotifObjects = MibIdentifier((1, 3, 6, 1, 2, 1, 149, 1, 9))
sipCommonCfgTable = MibTable((1, 3, 6, 1, 2, 1, 149, 1, 1, 1), )
if mibBuilder.loadTexts: sipCommonCfgTable.setStatus('current')
if mibBuilder.loadTexts: sipCommonCfgTable.setDescription('This table contains the common configuration objects applicable to all SIP entities.')
sipCommonCfgEntry = MibTableRow((1, 3, 6, 1, 2, 1, 149, 1, 1, 1, 1), ).setIndexNames((0, "NETWORK-SERVICES-MIB", "applIndex"))
if mibBuilder.loadTexts: sipCommonCfgEntry.setStatus('current')
if mibBuilder.loadTexts: sipCommonCfgEntry.setDescription('A row of common configuration. Each row represents objects for a particular SIP entity instance present in this system. applIndex is used to uniquely identify these instances of SIP entities and correlate them through the common framework of the NETWORK-SERVICES-MIB (RFC 2788).')
sipCommonCfgProtocolVersion = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 1, 1, 1, 1), SnmpAdminString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonCfgProtocolVersion.setReference('RFC 3261, Section 7.1')
if mibBuilder.loadTexts: sipCommonCfgProtocolVersion.setStatus('current')
if mibBuilder.loadTexts: sipCommonCfgProtocolVersion.setDescription("This object will reflect the version of SIP supported by this SIP entity. It will follow the same format as SIP version information contained in the SIP messages generated by this SIP entity. For example, entities supporting SIP version 2 will return 'SIP/2.0' as dictated by the standard.")
sipCommonCfgServiceOperStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 1, 1, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7))).clone(namedValues=NamedValues(("unknown", 1), ("up", 2), ("down", 3), ("congested", 4), ("restarting", 5), ("quiescing", 6), ("testing", 7)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonCfgServiceOperStatus.setStatus('current')
if mibBuilder.loadTexts: sipCommonCfgServiceOperStatus.setDescription('This object contains the current operational state of the SIP application. unknown : The operational status cannot be determined for some reason. up : The application is operating normally and is processing (receiving and possibly issuing) SIP requests and responses. down : The application is currently unable to process SIP messages. congested : The application is operational but no additional inbound transactions can be accommodated at the moment. restarting : The application is currently unavailable, but it is in the process of restarting and will presumably, soon be able to process SIP messages. quiescing : The application is currently operational but has been administratively put into quiescence mode. Additional inbound transactions MAY be rejected. testing : The application is currently in test mode and MAY not be able to process SIP messages. The operational status values defined for this object are not based on any specific information contained in the SIP standard.')
sipCommonCfgServiceStartTime = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 1, 1, 1, 3), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonCfgServiceStartTime.setStatus('current')
if mibBuilder.loadTexts: sipCommonCfgServiceStartTime.setDescription('The value of sysUpTime at the time the SIP entity was last started. If started prior to the last re-initialization of the local network management subsystem, then this object contains a zero value.')
sipCommonCfgServiceLastChange = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 1, 1, 1, 4), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonCfgServiceLastChange.setStatus('current')
if mibBuilder.loadTexts: sipCommonCfgServiceLastChange.setDescription('The value of sysUpTime at the time the SIP entity entered its current operational state. If the current state was entered prior to the last re-initialization of the local network management subsystem, then this object contains a zero value.')
sipCommonCfgOrganization = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 1, 1, 1, 5), SnmpAdminString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonCfgOrganization.setReference('RFC 3261, Section 20.25')
if mibBuilder.loadTexts: sipCommonCfgOrganization.setStatus('current')
if mibBuilder.loadTexts: sipCommonCfgOrganization.setDescription('This object contains the organization name that the SIP entity inserts into Organization headers of SIP messages processed by this system. If the string is empty, no Organization header is to be generated.')
sipCommonCfgMaxTransactions = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 1, 1, 1, 6), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 4294967295))).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonCfgMaxTransactions.setStatus('current')
if mibBuilder.loadTexts: sipCommonCfgMaxTransactions.setDescription("This object indicates the maximum number of simultaneous transactions per second that the SIP entity can manage. In general, the value of this object SHOULD reflect a level of transaction processing per second that is considered high enough to impact the system's CPU and/or memory resources to the point of deteriorating SIP call processing but not high enough to cause catastrophic system failure.")
sipCommonCfgServiceNotifEnable = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 1, 1, 1, 7), Bits().clone(namedValues=NamedValues(("sipCommonServiceColdStart", 0), ("sipCommonServiceWarmStart", 1), ("sipCommonServiceStatusChanged", 2))).clone(namedValues=NamedValues(("sipCommonServiceColdStart", 0), ("sipCommonServiceWarmStart", 1)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sipCommonCfgServiceNotifEnable.setStatus('current')
if mibBuilder.loadTexts: sipCommonCfgServiceNotifEnable.setDescription("This object specifies which SIP service related notifications are enabled. Each bit represents a specific notification. If a bit has a value 1, the associated notification is enabled and will be generated by the SIP entity at the appropriate time. Support for these notifications is OPTIONAL: either none or all notification values are supported. If an implementation does not support this object, it should return a 'noSuchObject' exception to an SNMP GET operation. If notifications are supported, this object's default value SHOULD reflect sipCommonServiceColdStart and sipCommonServiceWarmStart enabled and sipCommonServiceStatusChanged disabled. This object value SHOULD persist across reboots.")
sipCommonCfgEntityType = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 1, 1, 1, 8), SipTCEntityRole()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonCfgEntityType.setStatus('current')
if mibBuilder.loadTexts: sipCommonCfgEntityType.setDescription('This object identifies the list of SIP entities to which this row is related. It is defined as a bit map. Each bit represents a type of SIP entity. If a bit has value 1, the SIP entity represented by this row plays the role of this entity type. If a bit has value 0, the SIP entity represented by this row does not act as this entity type. Combinations of bits can be set when the SIP entity plays multiple SIP roles.')
sipCommonPortTable = MibTable((1, 3, 6, 1, 2, 1, 149, 1, 1, 2), )
if mibBuilder.loadTexts: sipCommonPortTable.setStatus('current')
if mibBuilder.loadTexts: sipCommonPortTable.setDescription('This table contains the list of ports that each SIP entity in this system is allowed to use. These ports can be advertised using the Contact header in a REGISTER request or response.')
sipCommonPortEntry = MibTableRow((1, 3, 6, 1, 2, 1, 149, 1, 1, 2, 1), ).setIndexNames((0, "NETWORK-SERVICES-MIB", "applIndex"), (0, "SIP-COMMON-MIB", "sipCommonPort"))
if mibBuilder.loadTexts: sipCommonPortEntry.setStatus('current')
if mibBuilder.loadTexts: sipCommonPortEntry.setDescription('Specification of a particular port. Each row represents those objects for a particular SIP entity present in this system. applIndex is used to uniquely identify these instances of SIP entities and correlate them through the common framework of the NETWORK-SERVICES-MIB (RFC 2788).')
sipCommonPort = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 1, 2, 1, 1), InetPortNumber().subtype(subtypeSpec=ValueRangeConstraint(1, 65535)))
if mibBuilder.loadTexts: sipCommonPort.setStatus('current')
if mibBuilder.loadTexts: sipCommonPort.setDescription('This object reflects a particular port that can be used by the SIP application.')
sipCommonPortTransportRcv = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 1, 2, 1, 2), SipTCTransportProtocol()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonPortTransportRcv.setStatus('current')
if mibBuilder.loadTexts: sipCommonPortTransportRcv.setDescription('This object will specify the transport protocol the SIP entity will use to receive SIP messages. This object is a bit map. Each bit represents a transport protocol. If a bit has value 1, then that transport protocol is currently being used. If a bit has value 0, then that transport protocol is currently not being used.')
sipCommonOptionTagTable = MibTable((1, 3, 6, 1, 2, 1, 149, 1, 1, 3), )
if mibBuilder.loadTexts: sipCommonOptionTagTable.setReference('RFC 3261, Sections 19.2, 20.32, 20.29, 20.37, and 20.40')
if mibBuilder.loadTexts: sipCommonOptionTagTable.setStatus('current')
if mibBuilder.loadTexts: sipCommonOptionTagTable.setDescription("This table contains a list of the SIP option tags (SIP extensions) that are either required, supported, or unsupported by the SIP entity. These option tags are used in the Require, Proxy-Require, Supported, and Unsupported header fields. Example: If a user agent client supports, and requires the server to support, reliability of provisional responses (RFC 3262), this table contains a row with the option tag string '100rel' in sipCommonOptionTag and the OCTET STRING value of '1010 0000' or '0xA0' in sipCommonOptionTagHeaderField. If a server does not support the required feature (indicated in a Require header to a UAS, or in a Proxy-Require to a Proxy Server), the server returns a 420 Bad Extension listing the feature in an Unsupported header. Normally, the list of such features supported by an entity is static (i.e., will not change over time).")
sipCommonOptionTagEntry = MibTableRow((1, 3, 6, 1, 2, 1, 149, 1, 1, 3, 1), ).setIndexNames((0, "NETWORK-SERVICES-MIB", "applIndex"), (0, "SIP-COMMON-MIB", "sipCommonOptionTagIndex"))
if mibBuilder.loadTexts: sipCommonOptionTagEntry.setStatus('current')
if mibBuilder.loadTexts: sipCommonOptionTagEntry.setDescription('A particular SIP option tag (extension) supported or unsupported by the SIP entity, and which may be supported or required by a peer. Each row represents those objects for a particular SIP entity present in this system. applIndex is used to uniquely identify these instances of SIP entities and correlate them through the common framework of the NETWORK-SERVICES-MIB (RFC 2788).')
sipCommonOptionTagIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 1, 3, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 4294967295)))
if mibBuilder.loadTexts: sipCommonOptionTagIndex.setStatus('current')
if mibBuilder.loadTexts: sipCommonOptionTagIndex.setDescription('This object uniquely identifies a conceptual row in the table.')
sipCommonOptionTag = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 1, 3, 1, 2), SnmpAdminString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonOptionTag.setReference('RFC 3261, Section 27.1')
if mibBuilder.loadTexts: sipCommonOptionTag.setStatus('current')
if mibBuilder.loadTexts: sipCommonOptionTag.setDescription('This object indicates the SIP option tag. The option tag names are registered with IANA and available at http://www.iana.org.')
sipCommonOptionTagHeaderField = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 1, 3, 1, 3), SipTCOptionTagHeaders()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonOptionTagHeaderField.setStatus('current')
if mibBuilder.loadTexts: sipCommonOptionTagHeaderField.setDescription('This object indicates whether the SIP option tag is supported (Supported header), unsupported (Unsupported header), or required (Require or Proxy-Require header) by the SIP entity. A SIP option tag may be both supported and required.')
sipCommonMethodSupportedTable = MibTable((1, 3, 6, 1, 2, 1, 149, 1, 1, 4), )
if mibBuilder.loadTexts: sipCommonMethodSupportedTable.setStatus('current')
if mibBuilder.loadTexts: sipCommonMethodSupportedTable.setDescription('This table contains a list of methods supported by each SIP entity in this system (see the standard set of SIP methods in Section 7.1 of RFC 3261). Any additional methods that may be incorporated into the SIP protocol can be represented by this table without any requirement to update this MIB module. The table is informational in nature and conveys capabilities of the managed system to the SNMP Manager. From a protocol point of view, the list of methods advertised by the SIP entity in the Allow header (Section 20.5 of RFC 3261) MUST be consistent with the methods reflected in this table.')
sipCommonMethodSupportedEntry = MibTableRow((1, 3, 6, 1, 2, 1, 149, 1, 1, 4, 1), ).setIndexNames((0, "NETWORK-SERVICES-MIB", "applIndex"), (0, "SIP-COMMON-MIB", "sipCommonMethodSupportedIndex"))
if mibBuilder.loadTexts: sipCommonMethodSupportedEntry.setStatus('current')
if mibBuilder.loadTexts: sipCommonMethodSupportedEntry.setDescription('A particular method supported by the SIP entity. Each row represents those objects for a particular SIP entity present in this system. applIndex is used to uniquely identify these instances of SIP entities and correlate them through the common framework of the NETWORK-SERVICES-MIB (RFC 2788).')
sipCommonMethodSupportedIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 1, 4, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 4294967295)))
if mibBuilder.loadTexts: sipCommonMethodSupportedIndex.setStatus('current')
if mibBuilder.loadTexts: sipCommonMethodSupportedIndex.setDescription('This object uniquely identifies a conceptual row in the table and reflects an assigned number used to identify a specific SIP method. This identifier is suitable for referencing the associated method throughout this and other MIBs supported by this managed system.')
sipCommonMethodSupportedName = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 1, 4, 1, 2), SipTCMethodName()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonMethodSupportedName.setStatus('current')
if mibBuilder.loadTexts: sipCommonMethodSupportedName.setDescription("This object reflects the supported method's name. The method name MUST be all upper case (e.g., 'INVITE').")
sipCommonCfgTimerTable = MibTable((1, 3, 6, 1, 2, 1, 149, 1, 2, 1), )
if mibBuilder.loadTexts: sipCommonCfgTimerTable.setStatus('current')
if mibBuilder.loadTexts: sipCommonCfgTimerTable.setDescription('This table contains timer configuration objects applicable to SIP user agent and SIP stateful Proxy Server entities.')
sipCommonCfgTimerEntry = MibTableRow((1, 3, 6, 1, 2, 1, 149, 1, 2, 1, 1), ).setIndexNames((0, "NETWORK-SERVICES-MIB", "applIndex"))
if mibBuilder.loadTexts: sipCommonCfgTimerEntry.setStatus('current')
if mibBuilder.loadTexts: sipCommonCfgTimerEntry.setDescription('A row of timer configuration. Each row represents those objects for a particular SIP entity present in this system. applIndex is used to uniquely identify these instances of SIP entities and correlate them through the common framework of the NETWORK-SERVICES-MIB (RFC 2788). The objects in this table entry SHOULD be non-volatile and their value SHOULD be kept at reboot.')
sipCommonCfgTimerA = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 2, 1, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(100, 1000)).clone(500)).setUnits('milliseconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonCfgTimerA.setReference('RFC 3261, Section 17.1.1.2')
if mibBuilder.loadTexts: sipCommonCfgTimerA.setStatus('current')
if mibBuilder.loadTexts: sipCommonCfgTimerA.setDescription('This object reflects the initial value for the retransmit timer for the INVITE method. The retransmit timer doubles after each retransmission, ensuring an exponential backoff in network traffic. This object represents the initial time a SIP entity will wait to receive a provisional response to an INVITE before resending the INVITE request.')
sipCommonCfgTimerB = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 2, 1, 1, 2), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(32000, 300000)).clone(32000)).setUnits('milliseconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonCfgTimerB.setReference('RFC 3261, Section 17.1.1.2')
if mibBuilder.loadTexts: sipCommonCfgTimerB.setStatus('current')
if mibBuilder.loadTexts: sipCommonCfgTimerB.setDescription('This object reflects the maximum time a SIP entity will wait to receive a final response to an INVITE. The timer is started upon transmission of the initial INVITE request.')
sipCommonCfgTimerC = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 2, 1, 1, 3), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(180000, 300000)).clone(180000)).setUnits('milliseconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonCfgTimerC.setReference('RFC 3261, Section 16.6')
if mibBuilder.loadTexts: sipCommonCfgTimerC.setStatus('current')
if mibBuilder.loadTexts: sipCommonCfgTimerC.setDescription('This object reflects the maximum time a SIP Proxy Server will wait to receive a provisional response to an INVITE. The Timer C MUST be set for each client transaction when an INVITE request is proxied.')
sipCommonCfgTimerD = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 2, 1, 1, 4), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 300000)).clone(32000)).setUnits('milliseconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonCfgTimerD.setReference('RFC 3261, Section 17.1.1.2')
if mibBuilder.loadTexts: sipCommonCfgTimerD.setStatus('current')
if mibBuilder.loadTexts: sipCommonCfgTimerD.setDescription("This object reflects the amount of time that the server transaction can remain in the 'Completed' state when unreliable transports are used. The default value MUST be equal to or greater than 32000 for UDP transport, and its value MUST be 0 for TCP/SCTP transport.")
sipCommonCfgTimerE = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 2, 1, 1, 5), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(100, 1000)).clone(500)).setUnits('milliseconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonCfgTimerE.setReference('RFC 3261, Section 17.1.2.2')
if mibBuilder.loadTexts: sipCommonCfgTimerE.setStatus('current')
if mibBuilder.loadTexts: sipCommonCfgTimerE.setDescription("This object reflects the initial value for the retransmit timer for a non-INVITE method while in 'Trying' state. The retransmit timer doubles after each retransmission until it reaches T2 to ensure an exponential backoff in network traffic. This object represents the initial time a SIP entity will wait to receive a provisional response to the request before resending the non-INVITE request.")
sipCommonCfgTimerF = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 2, 1, 1, 6), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(32000, 300000)).clone(32000)).setUnits('milliseconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonCfgTimerF.setReference('RFC 3261, Section 17.1.2.2')
if mibBuilder.loadTexts: sipCommonCfgTimerF.setStatus('current')
if mibBuilder.loadTexts: sipCommonCfgTimerF.setDescription('This object reflects the maximum time a SIP entity will wait to receive a final response to a non-INVITE request. The timer is started upon transmission of the initial request.')
sipCommonCfgTimerG = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 2, 1, 1, 7), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1000)).clone(500)).setUnits('milliseconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonCfgTimerG.setReference('RFC 3261, Section 17.2.1')
if mibBuilder.loadTexts: sipCommonCfgTimerG.setStatus('current')
if mibBuilder.loadTexts: sipCommonCfgTimerG.setDescription('This object reflects the initial value for the retransmit timer for final responses to INVITE requests. If timer G fires, the response is passed to the transport layer again for retransmission, and timer G is set to fire in MIN(2*T1, T2) seconds. From then on, when timer G fires, the response is passed to the transport again for transmission, and timer G is reset with a value that doubles, unless that value exceeds T2, in which case, it is reset with the value of T2. The default value MUST be T1 for UDP transport, and its value MUST be 0 for reliable transport like TCP/SCTP.')
sipCommonCfgTimerH = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 2, 1, 1, 8), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(32000, 300000)).clone(32000)).setUnits('milliseconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonCfgTimerH.setReference('RFC 3261, Section 17.2.1')
if mibBuilder.loadTexts: sipCommonCfgTimerH.setStatus('current')
if mibBuilder.loadTexts: sipCommonCfgTimerH.setDescription("This object reflects the maximum time a server will wait to receive an ACK before it abandons retransmitting the response. The timer is started upon entering the 'Completed' state.")
sipCommonCfgTimerI = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 2, 1, 1, 9), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 10000)).clone(5000)).setUnits('milliseconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonCfgTimerI.setReference('RFC 3261, Section 17.2.1')
if mibBuilder.loadTexts: sipCommonCfgTimerI.setStatus('current')
if mibBuilder.loadTexts: sipCommonCfgTimerI.setDescription("This object reflects the maximum time a SIP entity will wait to receive additional ACK message retransmissions. The timer is started upon entering the 'Confirmed' state. The default value MUST be T4 for UDP transport and its value MUST be 0 for reliable transport like TCP/SCTP.")
sipCommonCfgTimerJ = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 2, 1, 1, 10), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(32000, 300000)).clone(32000)).setUnits('milliseconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonCfgTimerJ.setReference('RFC 3261, Section 17.2.2')
if mibBuilder.loadTexts: sipCommonCfgTimerJ.setStatus('current')
if mibBuilder.loadTexts: sipCommonCfgTimerJ.setDescription("This object reflects the maximum time a SIP server will wait to receive retransmissions of non-INVITE requests. The timer is started upon entering the 'Completed' state for non-INVITE transactions. When timer J fires, the server MUST transition to the 'Terminated' state.")
sipCommonCfgTimerK = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 2, 1, 1, 11), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 10000)).clone(5000)).setUnits('milliseconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonCfgTimerK.setReference('RFC 3261, Section 17.1.2.2')
if mibBuilder.loadTexts: sipCommonCfgTimerK.setStatus('current')
if mibBuilder.loadTexts: sipCommonCfgTimerK.setDescription("This object reflects the maximum time a SIP client will wait to receive retransmissions of responses to non-INVITE requests. The timer is started upon entering the 'Completed' state for non-INVITE transactions. When timer K fires, the server MUST transition to the 'Terminated' state. The default value MUST be T4 for UDP transport, and its value MUST be 0 for reliable transport like TCP/SCTP.")
sipCommonCfgTimerT1 = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 2, 1, 1, 12), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(200, 10000)).clone(500)).setUnits('milliseconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonCfgTimerT1.setReference('RFC 3261, Section 17')
if mibBuilder.loadTexts: sipCommonCfgTimerT1.setStatus('current')
if mibBuilder.loadTexts: sipCommonCfgTimerT1.setDescription('This object reflects the T1 timer for a SIP entity. T1 is an estimate of the round-trip time (RTT) between the client and server transactions.')
sipCommonCfgTimerT2 = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 2, 1, 1, 13), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(200, 10000)).clone(4000)).setUnits('milliseconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonCfgTimerT2.setReference('RFC 3261, Section 17')
if mibBuilder.loadTexts: sipCommonCfgTimerT2.setStatus('current')
if mibBuilder.loadTexts: sipCommonCfgTimerT2.setDescription("This object reflects the T2 timer for a SIP entity. T2 is the maximum retransmit interval for non-INVITE requests and INVITE responses. It's used in various parts of the protocol to reset other Timer* objects to this value.")
sipCommonCfgTimerT4 = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 2, 1, 1, 14), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(200, 10000)).clone(5000)).setUnits('milliseconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonCfgTimerT4.setReference('RFC 3261, Section 17')
if mibBuilder.loadTexts: sipCommonCfgTimerT4.setStatus('current')
if mibBuilder.loadTexts: sipCommonCfgTimerT4.setDescription("This object reflects the T4 timer for a SIP entity. T4 is the maximum duration a message will remain in the network. It represents the amount of time the network will take to clear messages between client and server transactions. It's used in various parts of the protocol to reset other Timer* objects to this value.")
sipCommonSummaryStatsTable = MibTable((1, 3, 6, 1, 2, 1, 149, 1, 3, 1), )
if mibBuilder.loadTexts: sipCommonSummaryStatsTable.setStatus('current')
if mibBuilder.loadTexts: sipCommonSummaryStatsTable.setDescription('This table contains the summary statistics objects applicable to all SIP entities. Each row represents those objects for a particular SIP entity present in this system.')
sipCommonSummaryStatsEntry = MibTableRow((1, 3, 6, 1, 2, 1, 149, 1, 3, 1, 1), ).setIndexNames((0, "NETWORK-SERVICES-MIB", "applIndex"))
if mibBuilder.loadTexts: sipCommonSummaryStatsEntry.setStatus('current')
if mibBuilder.loadTexts: sipCommonSummaryStatsEntry.setDescription('A row of summary statistics. Each row represents those objects for a particular SIP entity present in this system. applIndex is used to uniquely identify these instances of SIP entities and correlate them through the common framework of the NETWORK-SERVICES-MIB (RFC 2788).')
sipCommonSummaryInRequests = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 3, 1, 1, 1), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonSummaryInRequests.setStatus('current')
if mibBuilder.loadTexts: sipCommonSummaryInRequests.setDescription('This object indicates the total number of SIP request messages received by the SIP entity, including retransmissions. Discontinuities in the value of this counter can occur at re-initialization of the SIP entity or service. A Management Station can detect discontinuities in this counter by monitoring the sipCommonSummaryDisconTime object in the same row.')
sipCommonSummaryOutRequests = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 3, 1, 1, 2), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonSummaryOutRequests.setStatus('current')
if mibBuilder.loadTexts: sipCommonSummaryOutRequests.setDescription('This object contains the total number of SIP request messages sent out (originated and relayed) by the SIP entity. Where a particular message is sent more than once, for example as a retransmission or as a result of forking, each transmission is counted separately. Discontinuities in the value of this counter can occur at re-initialization of the SIP entity or service. A Management Station can detect discontinuities in this counter by monitoring the sipCommonSummaryDisconTime object in the same row.')
sipCommonSummaryInResponses = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 3, 1, 1, 3), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonSummaryInResponses.setStatus('current')
if mibBuilder.loadTexts: sipCommonSummaryInResponses.setDescription('This object contains the total number of SIP response messages received by the SIP entity, including retransmissions. Discontinuities in the value of this counter can occur at re-initialization of the SIP entity or service. A Management Station can detect discontinuities in this counter by monitoring the sipCommonSummaryDisconTime object in the same row.')
sipCommonSummaryOutResponses = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 3, 1, 1, 4), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonSummaryOutResponses.setStatus('current')
if mibBuilder.loadTexts: sipCommonSummaryOutResponses.setDescription('This object contains the total number of SIP response messages sent (originated and relayed) by the SIP entity including retransmissions. Discontinuities in the value of this counter can occur at re-initialization of the SIP entity or service. A Management Station can detect discontinuities in this counter by monitoring the sipCommonSummaryDisconTime object in the same row.')
sipCommonSummaryTotalTransactions = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 3, 1, 1, 5), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonSummaryTotalTransactions.setStatus('current')
if mibBuilder.loadTexts: sipCommonSummaryTotalTransactions.setDescription("This object contains a count of the number of transactions that are in progress and transactions that have reached the 'Terminated' state. It is not applicable to stateless SIP Proxy Servers. A SIP transaction occurs between a client and a server, and comprises all messages from the first request sent from the client to the server, up to a final (non-1xx) response sent from the server to the client. If the request is INVITE and the final response is a non-2xx, the transaction also include an ACK to the response. The ACK for a 2xx response to an INVITE request is a separate transaction. The branch ID parameter in the Via header field values serves as a transaction identifier. A transaction is identified by the CSeq sequence number within a single call leg. The ACK request has the same CSeq number as the corresponding INVITE request, but comprises a transaction of its own. In the case of a forked request, each branch counts as a single transaction. For a transaction stateless Proxy Server, this counter is always 0. Discontinuities in the value of this counter can occur at re-initialization of the SIP entity or service. A Management Station can detect discontinuities in this counter by monitoring the sipCommonSummaryDisconTime object in the same row.")
sipCommonSummaryDisconTime = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 3, 1, 1, 6), TimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonSummaryDisconTime.setStatus('current')
if mibBuilder.loadTexts: sipCommonSummaryDisconTime.setDescription('The value of the sysUpTime object when the counters for the summary statistics objects in this row last experienced a discontinuity.')
sipCommonMethodStatsTable = MibTable((1, 3, 6, 1, 2, 1, 149, 1, 4, 1), )
if mibBuilder.loadTexts: sipCommonMethodStatsTable.setStatus('current')
if mibBuilder.loadTexts: sipCommonMethodStatsTable.setDescription('This table contains the method statistics objects for SIP entities. Each row represents those objects for a particular SIP entity present in this system.')
sipCommonMethodStatsEntry = MibTableRow((1, 3, 6, 1, 2, 1, 149, 1, 4, 1, 1), ).setIndexNames((0, "NETWORK-SERVICES-MIB", "applIndex"), (0, "SIP-COMMON-MIB", "sipCommonMethodStatsName"))
if mibBuilder.loadTexts: sipCommonMethodStatsEntry.setStatus('current')
if mibBuilder.loadTexts: sipCommonMethodStatsEntry.setDescription('A row of per entity method statistics. Each row represents those objects for a particular SIP entity present in this system. applIndex is used to uniquely identify these instances of SIP entities and correlate them through the common framework of the NETWORK-SERVICES-MIB (RFC 2788).')
sipCommonMethodStatsName = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 4, 1, 1, 1), SipTCMethodName())
if mibBuilder.loadTexts: sipCommonMethodStatsName.setStatus('current')
if mibBuilder.loadTexts: sipCommonMethodStatsName.setDescription('This object uniquely identifies the SIP method related to the objects in a particular row.')
sipCommonMethodStatsOutbounds = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 4, 1, 1, 2), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonMethodStatsOutbounds.setReference('RFC 3261, Section 7.1')
if mibBuilder.loadTexts: sipCommonMethodStatsOutbounds.setStatus('current')
if mibBuilder.loadTexts: sipCommonMethodStatsOutbounds.setDescription('This object reflects the total number of requests sent by the SIP entity, excluding retransmissions. Retransmissions are counted separately and are not reflected in this counter. A Management Station can detect discontinuities in this counter by monitoring the sipCommonMethodStatsDisconTime object in the same row.')
sipCommonMethodStatsInbounds = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 4, 1, 1, 3), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonMethodStatsInbounds.setReference('RFC 3261, Section 7.1')
if mibBuilder.loadTexts: sipCommonMethodStatsInbounds.setStatus('current')
if mibBuilder.loadTexts: sipCommonMethodStatsInbounds.setDescription('This object reflects the total number of requests received by the SIP entity. Retransmissions are counted separately and are not reflected in this counter. A Management Station can detect discontinuities in this counter by monitoring the sipCommonMethodStatsDisconTime object in the same row.')
sipCommonMethodStatsDisconTime = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 4, 1, 1, 4), TimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonMethodStatsDisconTime.setStatus('current')
if mibBuilder.loadTexts: sipCommonMethodStatsDisconTime.setDescription('The value of the sysUpTime object when the counters for the method statistics objects in this row last experienced a discontinuity.')
sipCommonStatusCodeTable = MibTable((1, 3, 6, 1, 2, 1, 149, 1, 5, 1), )
if mibBuilder.loadTexts: sipCommonStatusCodeTable.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatusCodeTable.setDescription('This table contains the list of SIP status codes that each SIP entity in this system has been requested to monitor. It is the mechanism by which specific status codes are monitored. Entries created in this table must not persist across reboots.')
sipCommonStatusCodeEntry = MibTableRow((1, 3, 6, 1, 2, 1, 149, 1, 5, 1, 1), ).setIndexNames((0, "NETWORK-SERVICES-MIB", "applIndex"), (0, "SIP-COMMON-MIB", "sipCommonStatusCodeMethod"), (0, "SIP-COMMON-MIB", "sipCommonStatusCodeValue"))
if mibBuilder.loadTexts: sipCommonStatusCodeEntry.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatusCodeEntry.setDescription('This row contains information on a particular SIP status code that the SIP entity has been requested to monitor. Entries created in this table must not persist across reboots. Each row represents those objects for a particular SIP entity present in this system. applIndex is used to uniquely identify these instances of SIP entities and correlate them through the common framework of the NETWORK-SERVICES-MIB (RFC 2788).')
sipCommonStatusCodeMethod = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 5, 1, 1, 1), SipTCMethodName())
if mibBuilder.loadTexts: sipCommonStatusCodeMethod.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatusCodeMethod.setDescription('This object uniquely identifies a conceptual row in the table.')
sipCommonStatusCodeValue = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 5, 1, 1, 2), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(100, 999)))
if mibBuilder.loadTexts: sipCommonStatusCodeValue.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatusCodeValue.setDescription('This object contains a SIP status code value that the SIP entity has been requested to monitor. All of the other information in the row is related to this value.')
sipCommonStatusCodeIns = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 5, 1, 1, 3), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonStatusCodeIns.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatusCodeIns.setDescription('This object reflects the total number of response messages received by the SIP entity with the status code value contained in the sipCommonStatusCodeValue column. Discontinuities in the value of this counter can occur at re-initialization of the SIP entity or service, or when the monitoring of the status code is temporarily disabled. A Management Station can detect discontinuities in this counter by monitoring the sipCommonStatusCodeDisconTime object in the same row.')
sipCommonStatusCodeOuts = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 5, 1, 1, 4), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonStatusCodeOuts.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatusCodeOuts.setDescription('This object reflects the total number of response messages sent by the SIP entity with the status code value contained in the sipCommonStatusCodeValue column. Discontinuities in the value of this counter can occur at re-initialization of the SIP entity or service, or when the monitoring of the Status code is temporarily disabled. A Management Station can detect discontinuities in this counter by monitoring the sipCommonStatusCodeDisconTime object in the same row.')
sipCommonStatusCodeRowStatus = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 5, 1, 1, 5), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: sipCommonStatusCodeRowStatus.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatusCodeRowStatus.setDescription("The row augmentation in sipCommonStatusCodeNotifTable will be governed by the value of this RowStatus. The values 'createAndGo' and 'destroy' are the only valid values allowed for this object. If a row exists, it will reflect a status of 'active' when queried.")
sipCommonStatusCodeDisconTime = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 5, 1, 1, 6), TimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonStatusCodeDisconTime.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatusCodeDisconTime.setDescription('The value of the sysUpTime object when the counters for the status code statistics objects in this row last experienced a discontinuity.')
sipCommonStatusCodeNotifTable = MibTable((1, 3, 6, 1, 2, 1, 149, 1, 5, 2), )
if mibBuilder.loadTexts: sipCommonStatusCodeNotifTable.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatusCodeNotifTable.setDescription('This table contains objects to control notifications related to particular status codes that each SIP entity in this system has been requested to monitor. There is an entry in this table corresponding to each entry in sipCommonStatusCodeTable. Therefore, this table augments sipCommonStatusCodeTable and utilizes the same index methodology. The objects in this table are not included directly in the sipCommonStatusCodeTable simply to keep the status code notification control objects separate from the actual status code statistics.')
sipCommonStatusCodeNotifEntry = MibTableRow((1, 3, 6, 1, 2, 1, 149, 1, 5, 2, 1), )
sipCommonStatusCodeEntry.registerAugmentions(("SIP-COMMON-MIB", "sipCommonStatusCodeNotifEntry"))
sipCommonStatusCodeNotifEntry.setIndexNames(*sipCommonStatusCodeEntry.getIndexNames())
if mibBuilder.loadTexts: sipCommonStatusCodeNotifEntry.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatusCodeNotifEntry.setDescription('This row contains information controlling notifications for a particular SIP status code that the SIP entity has been requested to monitor.')
sipCommonStatusCodeNotifSend = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 5, 2, 1, 1), TruthValue().clone('false')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sipCommonStatusCodeNotifSend.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatusCodeNotifSend.setDescription("This object controls whether a sipCommonStatusCodeNotif is emitted when the status code value specified by sipCommonStatusCodeValue is sent or received. If the value of this object is 'true', then a notification is sent. If it is 'false', no notification is sent. Note well that a notification MAY be emitted for every message sent or received that contains the particular status code. Depending on the status code involved, this can cause a significant number of notification emissions that could be detrimental to network performance. Managers are forewarned to be prudent in the use of this object to enable notifications. Look to sipCommonStatusCodeNotifEmitMode for alternative controls for sipCommonStatusCodeNotif emissions.")
sipCommonStatusCodeNotifEmitMode = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 5, 2, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("normal", 1), ("oneShot", 2), ("triggered", 3))).clone('oneShot')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sipCommonStatusCodeNotifEmitMode.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatusCodeNotifEmitMode.setDescription("The object sipCommonStatusCodeNotifSend MUST be set to 'true' for the values of this object to have any effect. It is RECOMMENDED that the desired emit mode be established by this object prior to setting sipCommonStatusCodeNotifSend to 'true'. This object and the sipCommonStatusCodeNotifSend object can obviously be set independently, but their respective values will have a dependency on each other and the resulting notifications. This object specifies the mode for emissions of sipCommonStatusCodeNotif notifications. normal : sipCommonStatusCodeNotif notifications will be emitted by the system for each SIP response message sent or received that contains the desired status code. oneShot : Only one sipCommonStatusCodeNotif notification will be emitted. It will be the next SIP response message sent or received that contains the desired status code. No more notifications are emitted until this object is set to 'oneShot' again or set to 'normal'. This option is provided as a means of quelling the potential promiscuous behavior that can be associated with the sipCommonStatusCodeNotif. triggered : This value is only readable and cannot be set. It reflects that the 'oneShot' case has occurred, and indicates that the mode needs to be reset to get further notifications. The mode is reset by setting this object to 'oneShot' or 'normal'.")
sipCommonStatusCodeNotifThresh = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 5, 2, 1, 3), Unsigned32().clone(500)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sipCommonStatusCodeNotifThresh.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatusCodeNotifThresh.setDescription('This object specifies the number of response messages sent or received by this system that are considered excessive. Based on crossing that threshold, a sipCommonStatusCodeThreshExceededInNotif notification or a sipCommonStatusCodeThreshExceededOutNotif will be sent. The sipCommonStatusCodeThreshExceededInNotif and sipCommonStatusCodeThreshExceededOutNotif notifications can be used as an early warning mechanism in lieu of using sipCommonStatusCodeNotif. Note that the configuration applied by this object will be applied equally to inbound and outbound response messages.')
sipCommonStatusCodeNotifInterval = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 5, 2, 1, 4), Unsigned32().clone(60)).setUnits('seconds').setMaxAccess("readwrite")
if mibBuilder.loadTexts: sipCommonStatusCodeNotifInterval.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatusCodeNotifInterval.setDescription('This object specifies the time interval over which, if sipCommonStatusCodeThresh is exceeded with respect to sent or received messages, a sipCommonStatusCodeThreshExceededInNotif or sipCommonStatusCodeThreshExceededOutNotif notification will be sent. Note that the configuration applied by this object will be applied equally to inbound and outbound response messages.')
sipCommonTransCurrentTable = MibTable((1, 3, 6, 1, 2, 1, 149, 1, 6, 1), )
if mibBuilder.loadTexts: sipCommonTransCurrentTable.setStatus('current')
if mibBuilder.loadTexts: sipCommonTransCurrentTable.setDescription('This table contains information on the transactions currently awaiting definitive responses by each SIP entity in this system. This table does not apply to transaction stateless Proxy Servers.')
sipCommonTransCurrentEntry = MibTableRow((1, 3, 6, 1, 2, 1, 149, 1, 6, 1, 1), ).setIndexNames((0, "NETWORK-SERVICES-MIB", "applIndex"))
if mibBuilder.loadTexts: sipCommonTransCurrentEntry.setStatus('current')
if mibBuilder.loadTexts: sipCommonTransCurrentEntry.setDescription("Information on a particular SIP entity's current transactions. Each row represents those objects for a particular SIP entity present in this system. applIndex is used to uniquely identify these instances of SIP entities and correlate them through the common framework of the NETWORK-SERVICES-MIB (RFC 2788).")
sipCommonTransCurrentactions = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 6, 1, 1, 1), Gauge32().subtype(subtypeSpec=ValueRangeConstraint(0, 4294967295))).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonTransCurrentactions.setStatus('current')
if mibBuilder.loadTexts: sipCommonTransCurrentactions.setDescription('This object contains the number of transactions awaiting definitive (non-1xx) response. In the case of a forked request, each branch counts as a single transaction corresponding to the entity identified by applIndex.')
sipCommonStatsRetryTable = MibTable((1, 3, 6, 1, 2, 1, 149, 1, 7, 1), )
if mibBuilder.loadTexts: sipCommonStatsRetryTable.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatsRetryTable.setDescription('This table contains retry statistics objects applicable to each SIP entity in this system.')
sipCommonStatsRetryEntry = MibTableRow((1, 3, 6, 1, 2, 1, 149, 1, 7, 1, 1), ).setIndexNames((0, "NETWORK-SERVICES-MIB", "applIndex"), (0, "SIP-COMMON-MIB", "sipCommonStatsRetryMethod"))
if mibBuilder.loadTexts: sipCommonStatsRetryEntry.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatsRetryEntry.setDescription('A row of retry statistics. Each row represents those objects for a particular SIP entity present in this system. applIndex is used to uniquely identify these instances of SIP entities and correlate them through the common framework of the NETWORK-SERVICES-MIB (RFC 2788).')
sipCommonStatsRetryMethod = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 7, 1, 1, 1), SipTCMethodName())
if mibBuilder.loadTexts: sipCommonStatsRetryMethod.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatsRetryMethod.setDescription('This object uniquely identifies the SIP method related to the objects in a row.')
sipCommonStatsRetries = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 7, 1, 1, 2), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonStatsRetries.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatsRetries.setDescription('This object reflects the total number of request retransmissions that have been sent by the SIP entity. Note that there could be multiple retransmissions per request. Discontinuities in the value of this counter can occur at re-initialization of the SIP entity or service. A Management Station can detect discontinuities in this counter by monitoring the sipCommonStatsRetryDisconTime object in the same row.')
sipCommonStatsRetryFinalResponses = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 7, 1, 1, 3), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonStatsRetryFinalResponses.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatsRetryFinalResponses.setDescription('This object reflects the total number of Final Response retries that have been sent by the SIP entity. Note that there could be multiple retransmissions per request. Discontinuities in the value of this counter can occur at re-initialization of the SIP entity or service. A Management Station can detect discontinuities in this counter by monitoring the sipCommonStatsRetryDisconTime object in the same row.')
sipCommonStatsRetryNonFinalResponses = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 7, 1, 1, 4), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonStatsRetryNonFinalResponses.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatsRetryNonFinalResponses.setDescription('This object reflects the total number of non-Final Response retries that have been sent by the SIP entity. Discontinuities in the value of this counter can occur at re-initialization of the SIP entity or service. A Management Station can detect discontinuities in this counter by monitoring the sipCommonStatsRetryDisconTime object in the same row.')
sipCommonStatsRetryDisconTime = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 7, 1, 1, 5), TimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonStatsRetryDisconTime.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatsRetryDisconTime.setDescription('The value of the sysUpTime object when the counters for the retry statistics objects in this row last experienced a discontinuity.')
sipCommonOtherStatsTable = MibTable((1, 3, 6, 1, 2, 1, 149, 1, 8, 1), )
if mibBuilder.loadTexts: sipCommonOtherStatsTable.setStatus('current')
if mibBuilder.loadTexts: sipCommonOtherStatsTable.setDescription('This table contains other common statistics supported by each SIP entity in this system.')
sipCommonOtherStatsEntry = MibTableRow((1, 3, 6, 1, 2, 1, 149, 1, 8, 1, 1), ).setIndexNames((0, "NETWORK-SERVICES-MIB", "applIndex"))
if mibBuilder.loadTexts: sipCommonOtherStatsEntry.setStatus('current')
if mibBuilder.loadTexts: sipCommonOtherStatsEntry.setDescription("Information on a particular SIP entity's other common statistics. Each row represents those objects for a particular SIP entity present in this system. applIndex is used to uniquely identify these instances of SIP entities and correlate them through the common framework of the NETWORK-SERVICES-MIB (RFC 2788).")
sipCommonOtherStatsNumUnsupportedUris = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 8, 1, 1, 1), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonOtherStatsNumUnsupportedUris.setStatus('current')
if mibBuilder.loadTexts: sipCommonOtherStatsNumUnsupportedUris.setDescription('Number of RequestURIs received with an unsupported scheme. A server normally responds to such requests with a 400 Bad Request status code. Discontinuities in the value of this counter can occur at re-initialization of the SIP entity or service. A Management Station can detect discontinuities in this counter by monitoring the sipCommonOtherStatsDisconTime object in the same row.')
sipCommonOtherStatsNumUnsupportedMethods = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 8, 1, 1, 2), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonOtherStatsNumUnsupportedMethods.setStatus('current')
if mibBuilder.loadTexts: sipCommonOtherStatsNumUnsupportedMethods.setDescription('Number of SIP requests received with unsupported methods. A server normally responds to such requests with a 501 (Not Implemented) or 405 (Method Not Allowed). Discontinuities in the value of this counter can occur at re-initialization of the SIP entity or service. A Management Station can detect discontinuities in this counter by monitoring the sipCommonOtherStatsDisconTime object in the same row.')
sipCommonOtherStatsOtherwiseDiscardedMsgs = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 8, 1, 1, 3), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonOtherStatsOtherwiseDiscardedMsgs.setStatus('current')
if mibBuilder.loadTexts: sipCommonOtherStatsOtherwiseDiscardedMsgs.setDescription('Number of SIP messages received that, for any number of reasons, was discarded without a response. Discontinuities in the value of this counter can occur at re-initialization of the SIP entity or service. A Management Station can detect discontinuities in this counter by monitoring the sipCommonOtherStatsDisconTime object in the same row.')
sipCommonOtherStatsDisconTime = MibTableColumn((1, 3, 6, 1, 2, 1, 149, 1, 8, 1, 1, 4), TimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sipCommonOtherStatsDisconTime.setStatus('current')
if mibBuilder.loadTexts: sipCommonOtherStatsDisconTime.setDescription('The value of the sysUpTime object when the counters for the statistics objects in this row last experienced a discontinuity.')
sipCommonStatusCodeNotifTo = MibScalar((1, 3, 6, 1, 2, 1, 149, 1, 9, 1), SnmpAdminString()).setMaxAccess("accessiblefornotify")
if mibBuilder.loadTexts: sipCommonStatusCodeNotifTo.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatusCodeNotifTo.setDescription("This object contains the value of the To header in the message containing the status code that caused the notification. The header name will be part of this object value. For example, 'To: Watson '.")
sipCommonStatusCodeNotifFrom = MibScalar((1, 3, 6, 1, 2, 1, 149, 1, 9, 2), SnmpAdminString()).setMaxAccess("accessiblefornotify")
if mibBuilder.loadTexts: sipCommonStatusCodeNotifFrom.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatusCodeNotifFrom.setDescription("This object contains the value of the From header in the message containing the status code that caused the notification. The header name will be part of this object value. For example, 'From: Watson '.")
sipCommonStatusCodeNotifCallId = MibScalar((1, 3, 6, 1, 2, 1, 149, 1, 9, 3), SnmpAdminString()).setMaxAccess("accessiblefornotify")
if mibBuilder.loadTexts: sipCommonStatusCodeNotifCallId.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatusCodeNotifCallId.setDescription("This object contains the value of the Call-ID in the message containing the status code that caused the notification. The header name will be part of this object value. For example, 'Call-ID: 5551212@example.com'.")
sipCommonStatusCodeNotifCSeq = MibScalar((1, 3, 6, 1, 2, 1, 149, 1, 9, 4), Unsigned32()).setMaxAccess("accessiblefornotify")
if mibBuilder.loadTexts: sipCommonStatusCodeNotifCSeq.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatusCodeNotifCSeq.setDescription("This object contains the CSeq value in the message containing the status code that caused the notification. The header name will be part of this object value. For example, 'CSeq: 1722 INVITE'.")
sipCommonNotifApplIndex = MibScalar((1, 3, 6, 1, 2, 1, 149, 1, 9, 5), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 2147483647))).setMaxAccess("accessiblefornotify")
if mibBuilder.loadTexts: sipCommonNotifApplIndex.setStatus('current')
if mibBuilder.loadTexts: sipCommonNotifApplIndex.setDescription('This object contains the applIndex as described in RFC 2788. This object is created in order to allow a variable binding containing a value of applIndex in a notification.')
sipCommonNotifSequenceNumber = MibScalar((1, 3, 6, 1, 2, 1, 149, 1, 9, 6), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 2147483647))).setMaxAccess("accessiblefornotify")
if mibBuilder.loadTexts: sipCommonNotifSequenceNumber.setStatus('current')
if mibBuilder.loadTexts: sipCommonNotifSequenceNumber.setDescription('This object contains a sequence number for each notification generated by this SIP entity. Each notification SHOULD have a unique sequence number. A network manager can use this information to determine whether notifications from a particular SIP entity have been missed. The value of this object MUST start at 1 and increase by 1 with each generated notification. If a system restarts, the sequence number MAY start again from 1.')
sipCommonStatusCodeNotif = NotificationType((1, 3, 6, 1, 2, 1, 149, 0, 1)).setObjects(("SIP-COMMON-MIB", "sipCommonNotifSequenceNumber"), ("SIP-COMMON-MIB", "sipCommonNotifApplIndex"), ("SIP-COMMON-MIB", "sipCommonStatusCodeNotifTo"), ("SIP-COMMON-MIB", "sipCommonStatusCodeNotifFrom"), ("SIP-COMMON-MIB", "sipCommonStatusCodeNotifCallId"), ("SIP-COMMON-MIB", "sipCommonStatusCodeNotifCSeq"), ("SIP-COMMON-MIB", "sipCommonStatusCodeIns"), ("SIP-COMMON-MIB", "sipCommonStatusCodeOuts"))
if mibBuilder.loadTexts: sipCommonStatusCodeNotif.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatusCodeNotif.setDescription('Signifies that a specific status code has been sent or received by the system.')
sipCommonStatusCodeThreshExceededInNotif = NotificationType((1, 3, 6, 1, 2, 1, 149, 0, 2)).setObjects(("SIP-COMMON-MIB", "sipCommonNotifSequenceNumber"), ("SIP-COMMON-MIB", "sipCommonNotifApplIndex"), ("SIP-COMMON-MIB", "sipCommonStatusCodeIns"))
if mibBuilder.loadTexts: sipCommonStatusCodeThreshExceededInNotif.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatusCodeThreshExceededInNotif.setDescription('Signifies that a specific status code was found to have been received by the system frequently enough to exceed the configured threshold. This notification can be used as an early warning mechanism in lieu of using sipCommonStatusCodeNotif.')
sipCommonStatusCodeThreshExceededOutNotif = NotificationType((1, 3, 6, 1, 2, 1, 149, 0, 3)).setObjects(("SIP-COMMON-MIB", "sipCommonNotifSequenceNumber"), ("SIP-COMMON-MIB", "sipCommonNotifApplIndex"), ("SIP-COMMON-MIB", "sipCommonStatusCodeOuts"))
if mibBuilder.loadTexts: sipCommonStatusCodeThreshExceededOutNotif.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatusCodeThreshExceededOutNotif.setDescription('Signifies that a specific status code was found to have been sent by the system enough to exceed the configured threshold. This notification can be used as an early warning mechanism in lieu of using sipCommonStatusCodeNotif.')
sipCommonServiceColdStart = NotificationType((1, 3, 6, 1, 2, 1, 149, 0, 4)).setObjects(("SIP-COMMON-MIB", "sipCommonNotifSequenceNumber"), ("SIP-COMMON-MIB", "sipCommonNotifApplIndex"), ("SIP-COMMON-MIB", "sipCommonCfgServiceStartTime"))
if mibBuilder.loadTexts: sipCommonServiceColdStart.setStatus('current')
if mibBuilder.loadTexts: sipCommonServiceColdStart.setDescription("Signifies that the SIP service has reinitialized itself or started for the first time. This SHOULD result from a hard 'down' to 'up' administrative status change. The configuration or behavior of the service MAY be altered.")
sipCommonServiceWarmStart = NotificationType((1, 3, 6, 1, 2, 1, 149, 0, 5)).setObjects(("SIP-COMMON-MIB", "sipCommonNotifSequenceNumber"), ("SIP-COMMON-MIB", "sipCommonNotifApplIndex"), ("SIP-COMMON-MIB", "sipCommonCfgServiceLastChange"))
if mibBuilder.loadTexts: sipCommonServiceWarmStart.setStatus('current')
if mibBuilder.loadTexts: sipCommonServiceWarmStart.setDescription("Signifies that the SIP service has reinitialized itself and is restarting after an administrative 'reset'. The configuration or behavior of the service MAY be altered.")
sipCommonServiceStatusChanged = NotificationType((1, 3, 6, 1, 2, 1, 149, 0, 6)).setObjects(("SIP-COMMON-MIB", "sipCommonNotifSequenceNumber"), ("SIP-COMMON-MIB", "sipCommonNotifApplIndex"), ("SIP-COMMON-MIB", "sipCommonCfgServiceLastChange"), ("SIP-COMMON-MIB", "sipCommonCfgServiceOperStatus"))
if mibBuilder.loadTexts: sipCommonServiceStatusChanged.setStatus('current')
if mibBuilder.loadTexts: sipCommonServiceStatusChanged.setDescription('Signifies that the SIP service operational status has changed.')
sipCommonMIBCompliances = MibIdentifier((1, 3, 6, 1, 2, 1, 149, 2, 1))
sipCommonMIBGroups = MibIdentifier((1, 3, 6, 1, 2, 1, 149, 2, 2))
sipCommonCompliance = ModuleCompliance((1, 3, 6, 1, 2, 1, 149, 2, 1, 1)).setObjects(("SIP-COMMON-MIB", "sipCommonConfigGroup"), ("SIP-COMMON-MIB", "sipCommonStatsGroup"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
sipCommonCompliance = sipCommonCompliance.setStatus('current')
if mibBuilder.loadTexts: sipCommonCompliance.setDescription('The compliance statement for SIP entities.')
sipCommonConfigGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 149, 2, 2, 1)).setObjects(("SIP-COMMON-MIB", "sipCommonCfgProtocolVersion"), ("SIP-COMMON-MIB", "sipCommonCfgServiceOperStatus"), ("SIP-COMMON-MIB", "sipCommonCfgServiceStartTime"), ("SIP-COMMON-MIB", "sipCommonCfgServiceLastChange"), ("SIP-COMMON-MIB", "sipCommonPortTransportRcv"), ("SIP-COMMON-MIB", "sipCommonOptionTag"), ("SIP-COMMON-MIB", "sipCommonOptionTagHeaderField"), ("SIP-COMMON-MIB", "sipCommonCfgMaxTransactions"), ("SIP-COMMON-MIB", "sipCommonCfgServiceNotifEnable"), ("SIP-COMMON-MIB", "sipCommonCfgEntityType"), ("SIP-COMMON-MIB", "sipCommonMethodSupportedName"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
sipCommonConfigGroup = sipCommonConfigGroup.setStatus('current')
if mibBuilder.loadTexts: sipCommonConfigGroup.setDescription('A collection of objects providing configuration common to all SIP entities.')
sipCommonInformationalGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 149, 2, 2, 2)).setObjects(("SIP-COMMON-MIB", "sipCommonCfgOrganization"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
sipCommonInformationalGroup = sipCommonInformationalGroup.setStatus('current')
if mibBuilder.loadTexts: sipCommonInformationalGroup.setDescription('A collection of objects providing configuration common to all SIP entities.')
sipCommonConfigTimerGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 149, 2, 2, 3)).setObjects(("SIP-COMMON-MIB", "sipCommonCfgTimerA"), ("SIP-COMMON-MIB", "sipCommonCfgTimerB"), ("SIP-COMMON-MIB", "sipCommonCfgTimerC"), ("SIP-COMMON-MIB", "sipCommonCfgTimerD"), ("SIP-COMMON-MIB", "sipCommonCfgTimerE"), ("SIP-COMMON-MIB", "sipCommonCfgTimerF"), ("SIP-COMMON-MIB", "sipCommonCfgTimerG"), ("SIP-COMMON-MIB", "sipCommonCfgTimerH"), ("SIP-COMMON-MIB", "sipCommonCfgTimerI"), ("SIP-COMMON-MIB", "sipCommonCfgTimerJ"), ("SIP-COMMON-MIB", "sipCommonCfgTimerK"), ("SIP-COMMON-MIB", "sipCommonCfgTimerT1"), ("SIP-COMMON-MIB", "sipCommonCfgTimerT2"), ("SIP-COMMON-MIB", "sipCommonCfgTimerT4"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
sipCommonConfigTimerGroup = sipCommonConfigTimerGroup.setStatus('current')
if mibBuilder.loadTexts: sipCommonConfigTimerGroup.setDescription('A collection of objects providing timer configuration common to all SIP entities.')
sipCommonStatsGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 149, 2, 2, 4)).setObjects(("SIP-COMMON-MIB", "sipCommonSummaryInRequests"), ("SIP-COMMON-MIB", "sipCommonSummaryOutRequests"), ("SIP-COMMON-MIB", "sipCommonSummaryInResponses"), ("SIP-COMMON-MIB", "sipCommonSummaryOutResponses"), ("SIP-COMMON-MIB", "sipCommonSummaryTotalTransactions"), ("SIP-COMMON-MIB", "sipCommonSummaryDisconTime"), ("SIP-COMMON-MIB", "sipCommonMethodStatsOutbounds"), ("SIP-COMMON-MIB", "sipCommonMethodStatsInbounds"), ("SIP-COMMON-MIB", "sipCommonMethodStatsDisconTime"), ("SIP-COMMON-MIB", "sipCommonStatusCodeIns"), ("SIP-COMMON-MIB", "sipCommonStatusCodeOuts"), ("SIP-COMMON-MIB", "sipCommonStatusCodeRowStatus"), ("SIP-COMMON-MIB", "sipCommonStatusCodeDisconTime"), ("SIP-COMMON-MIB", "sipCommonTransCurrentactions"), ("SIP-COMMON-MIB", "sipCommonOtherStatsNumUnsupportedUris"), ("SIP-COMMON-MIB", "sipCommonOtherStatsNumUnsupportedMethods"), ("SIP-COMMON-MIB", "sipCommonOtherStatsOtherwiseDiscardedMsgs"), ("SIP-COMMON-MIB", "sipCommonOtherStatsDisconTime"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
sipCommonStatsGroup = sipCommonStatsGroup.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatsGroup.setDescription('A collection of objects providing statistics common to all SIP entities.')
sipCommonStatsRetryGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 149, 2, 2, 5)).setObjects(("SIP-COMMON-MIB", "sipCommonStatsRetries"), ("SIP-COMMON-MIB", "sipCommonStatsRetryFinalResponses"), ("SIP-COMMON-MIB", "sipCommonStatsRetryNonFinalResponses"), ("SIP-COMMON-MIB", "sipCommonStatsRetryDisconTime"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
sipCommonStatsRetryGroup = sipCommonStatsRetryGroup.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatsRetryGroup.setDescription('A collection of objects providing retry statistics.')
sipCommonNotifGroup = NotificationGroup((1, 3, 6, 1, 2, 1, 149, 2, 2, 6)).setObjects(("SIP-COMMON-MIB", "sipCommonStatusCodeNotif"), ("SIP-COMMON-MIB", "sipCommonStatusCodeThreshExceededInNotif"), ("SIP-COMMON-MIB", "sipCommonStatusCodeThreshExceededOutNotif"), ("SIP-COMMON-MIB", "sipCommonServiceColdStart"), ("SIP-COMMON-MIB", "sipCommonServiceWarmStart"), ("SIP-COMMON-MIB", "sipCommonServiceStatusChanged"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
sipCommonNotifGroup = sipCommonNotifGroup.setStatus('current')
if mibBuilder.loadTexts: sipCommonNotifGroup.setDescription('A collection of notifications common to all SIP entities.')
sipCommonStatusCodeNotifGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 149, 2, 2, 7)).setObjects(("SIP-COMMON-MIB", "sipCommonStatusCodeNotifSend"), ("SIP-COMMON-MIB", "sipCommonStatusCodeNotifEmitMode"), ("SIP-COMMON-MIB", "sipCommonStatusCodeNotifThresh"), ("SIP-COMMON-MIB", "sipCommonStatusCodeNotifInterval"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
sipCommonStatusCodeNotifGroup = sipCommonStatusCodeNotifGroup.setStatus('current')
if mibBuilder.loadTexts: sipCommonStatusCodeNotifGroup.setDescription('A collection of objects related to the control and attribution of notifications common to all SIP entities.')
sipCommonNotifObjectsGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 149, 2, 2, 8)).setObjects(("SIP-COMMON-MIB", "sipCommonStatusCodeNotifTo"), ("SIP-COMMON-MIB", "sipCommonStatusCodeNotifFrom"), ("SIP-COMMON-MIB", "sipCommonStatusCodeNotifCallId"), ("SIP-COMMON-MIB", "sipCommonStatusCodeNotifCSeq"), ("SIP-COMMON-MIB", "sipCommonNotifApplIndex"), ("SIP-COMMON-MIB", "sipCommonNotifSequenceNumber"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
sipCommonNotifObjectsGroup = sipCommonNotifObjectsGroup.setStatus('current')
if mibBuilder.loadTexts: sipCommonNotifObjectsGroup.setDescription('A collection of accessible-for-notify objects related to the notification defined in this MIB module.')
mibBuilder.exportSymbols("SIP-COMMON-MIB", sipCommonStatusCodeNotifTable=sipCommonStatusCodeNotifTable, sipCommonStatsRetryNonFinalResponses=sipCommonStatsRetryNonFinalResponses, sipCommonStatusCodeValue=sipCommonStatusCodeValue, sipCommonMIBConformance=sipCommonMIBConformance, sipCommonPortTable=sipCommonPortTable, sipCommonMethodStats=sipCommonMethodStats, sipCommonCfgTimer=sipCommonCfgTimer, sipCommonOptionTagTable=sipCommonOptionTagTable, sipCommonCfgServiceLastChange=sipCommonCfgServiceLastChange, sipCommonNotifObjectsGroup=sipCommonNotifObjectsGroup, sipCommonMIBObjects=sipCommonMIBObjects, sipCommonCfgTimerG=sipCommonCfgTimerG, sipCommonSummaryInResponses=sipCommonSummaryInResponses, sipCommonCompliance=sipCommonCompliance, sipCommonSummaryDisconTime=sipCommonSummaryDisconTime, sipCommonStatusCode=sipCommonStatusCode, sipCommonCfgEntityType=sipCommonCfgEntityType, sipCommonCfgTimerB=sipCommonCfgTimerB, sipCommonStatusCodeNotifTo=sipCommonStatusCodeNotifTo, sipCommonStatsRetryGroup=sipCommonStatsRetryGroup, sipCommonNotifSequenceNumber=sipCommonNotifSequenceNumber, sipCommonNotifObjects=sipCommonNotifObjects, sipCommonStatsRetryDisconTime=sipCommonStatsRetryDisconTime, sipCommonPort=sipCommonPort, sipCommonMethodStatsEntry=sipCommonMethodStatsEntry, sipCommonStatsRetryTable=sipCommonStatsRetryTable, sipCommonStatusCodeNotifInterval=sipCommonStatusCodeNotifInterval, sipCommonStatusCodeRowStatus=sipCommonStatusCodeRowStatus, sipCommonCfgTimerD=sipCommonCfgTimerD, sipCommonSummaryOutResponses=sipCommonSummaryOutResponses, sipCommonCfgServiceStartTime=sipCommonCfgServiceStartTime, sipCommonCfgTimerA=sipCommonCfgTimerA, sipCommonConfigTimerGroup=sipCommonConfigTimerGroup, sipCommonCfgTimerT4=sipCommonCfgTimerT4, sipCommonMethodSupportedIndex=sipCommonMethodSupportedIndex, sipCommonNotifGroup=sipCommonNotifGroup, sipCommonStatusCodeNotifEmitMode=sipCommonStatusCodeNotifEmitMode, sipCommonMethodStatsInbounds=sipCommonMethodStatsInbounds, sipCommonConfigGroup=sipCommonConfigGroup, sipCommonNotifApplIndex=sipCommonNotifApplIndex, sipCommonMIB=sipCommonMIB, sipCommonCfgTimerTable=sipCommonCfgTimerTable, sipCommonStatusCodeDisconTime=sipCommonStatusCodeDisconTime, sipCommonInformationalGroup=sipCommonInformationalGroup, sipCommonMethodStatsDisconTime=sipCommonMethodStatsDisconTime, sipCommonCfgTimerT1=sipCommonCfgTimerT1, sipCommonCfgOrganization=sipCommonCfgOrganization, sipCommonOtherStatsNumUnsupportedUris=sipCommonOtherStatsNumUnsupportedUris, sipCommonServiceWarmStart=sipCommonServiceWarmStart, sipCommonCfgTimerI=sipCommonCfgTimerI, sipCommonCfgTimerK=sipCommonCfgTimerK, sipCommonStatusCodeNotifSend=sipCommonStatusCodeNotifSend, sipCommonOtherStatsTable=sipCommonOtherStatsTable, sipCommonMIBNotifications=sipCommonMIBNotifications, sipCommonStatusCodeThreshExceededOutNotif=sipCommonStatusCodeThreshExceededOutNotif, sipCommonStatusCodeNotifCSeq=sipCommonStatusCodeNotifCSeq, sipCommonStatsRetryMethod=sipCommonStatsRetryMethod, sipCommonStatusCodeNotifGroup=sipCommonStatusCodeNotifGroup, sipCommonMIBGroups=sipCommonMIBGroups, sipCommonOtherStatsOtherwiseDiscardedMsgs=sipCommonOtherStatsOtherwiseDiscardedMsgs, sipCommonTransCurrentEntry=sipCommonTransCurrentEntry, sipCommonCfgEntry=sipCommonCfgEntry, sipCommonStatsTrans=sipCommonStatsTrans, sipCommonCfgServiceOperStatus=sipCommonCfgServiceOperStatus, sipCommonOtherStatsNumUnsupportedMethods=sipCommonOtherStatsNumUnsupportedMethods, sipCommonOptionTagIndex=sipCommonOptionTagIndex, sipCommonMethodStatsTable=sipCommonMethodStatsTable, sipCommonCfgTimerJ=sipCommonCfgTimerJ, sipCommonStatusCodeNotifThresh=sipCommonStatusCodeNotifThresh, sipCommonCfgTable=sipCommonCfgTable, sipCommonStatsRetries=sipCommonStatsRetries, sipCommonStatusCodeEntry=sipCommonStatusCodeEntry, sipCommonServiceColdStart=sipCommonServiceColdStart, sipCommonStatusCodeNotifFrom=sipCommonStatusCodeNotifFrom, sipCommonCfgTimerEntry=sipCommonCfgTimerEntry, sipCommonCfgTimerH=sipCommonCfgTimerH, sipCommonOtherStats=sipCommonOtherStats, sipCommonPortEntry=sipCommonPortEntry, sipCommonStatsRetry=sipCommonStatsRetry, sipCommonStatusCodeNotif=sipCommonStatusCodeNotif, sipCommonMethodStatsOutbounds=sipCommonMethodStatsOutbounds, sipCommonTransCurrentTable=sipCommonTransCurrentTable, sipCommonSummaryStatsTable=sipCommonSummaryStatsTable, sipCommonStatusCodeThreshExceededInNotif=sipCommonStatusCodeThreshExceededInNotif, sipCommonPortTransportRcv=sipCommonPortTransportRcv, sipCommonSummaryStatsEntry=sipCommonSummaryStatsEntry, sipCommonStatusCodeMethod=sipCommonStatusCodeMethod, sipCommonOtherStatsDisconTime=sipCommonOtherStatsDisconTime, sipCommonSummaryStats=sipCommonSummaryStats, sipCommonOptionTagHeaderField=sipCommonOptionTagHeaderField, sipCommonCfgTimerT2=sipCommonCfgTimerT2, sipCommonOtherStatsEntry=sipCommonOtherStatsEntry, sipCommonSummaryTotalTransactions=sipCommonSummaryTotalTransactions, sipCommonCfgTimerC=sipCommonCfgTimerC, sipCommonCfgMaxTransactions=sipCommonCfgMaxTransactions, sipCommonStatusCodeOuts=sipCommonStatusCodeOuts, sipCommonMethodSupportedTable=sipCommonMethodSupportedTable, sipCommonCfgProtocolVersion=sipCommonCfgProtocolVersion, sipCommonStatusCodeIns=sipCommonStatusCodeIns, sipCommonServiceStatusChanged=sipCommonServiceStatusChanged, sipCommonCfgTimerF=sipCommonCfgTimerF, sipCommonCfgBase=sipCommonCfgBase, sipCommonSummaryInRequests=sipCommonSummaryInRequests, sipCommonOptionTagEntry=sipCommonOptionTagEntry, sipCommonStatsGroup=sipCommonStatsGroup, sipCommonStatsRetryFinalResponses=sipCommonStatsRetryFinalResponses, sipCommonTransCurrentactions=sipCommonTransCurrentactions, PYSNMP_MODULE_ID=sipCommonMIB, sipCommonOptionTag=sipCommonOptionTag, sipCommonStatusCodeTable=sipCommonStatusCodeTable, sipCommonMethodSupportedEntry=sipCommonMethodSupportedEntry, sipCommonSummaryOutRequests=sipCommonSummaryOutRequests, sipCommonCfgServiceNotifEnable=sipCommonCfgServiceNotifEnable, sipCommonStatsRetryEntry=sipCommonStatsRetryEntry, sipCommonMethodSupportedName=sipCommonMethodSupportedName, sipCommonStatusCodeNotifEntry=sipCommonStatusCodeNotifEntry, sipCommonStatusCodeNotifCallId=sipCommonStatusCodeNotifCallId, sipCommonCfgTimerE=sipCommonCfgTimerE, sipCommonMIBCompliances=sipCommonMIBCompliances, sipCommonMethodStatsName=sipCommonMethodStatsName)
|
if 3 > 4 or 5 < 10: # true
pass
if 3 > 4 or 5 > 10: # false
pass
|
"""
j is the index to insert when a "new" number are found.
For each iteration, nums[:j] is the output result we currently have.
So nums[i] should check with nums[j-1] and nums[j-2].
"""
class Solution(object):
def removeDuplicates(self, nums):
j = 2
for i in xrange(2, len(nums)):
if not (nums[i]==nums[j-1] and nums[i]==nums[j-2]):
nums[j] = nums[i]
j += 1
return j |
class Solution:
# Runtime: 36 ms
# Memory Usage: 16.3 MB
def maxDepth(self, root: TreeNode) -> int:
if root is None:
return 0
return self.search(root, 0)
def search(self, node, depth):
depth += 1
depth_left = depth
depth_right = depth
if node.left is not None:
depth_left = self.search(node.left, depth)
if node.right is not None:
depth_right = self.search(node.right, depth)
if depth_right < depth_left:
return depth_left
else:
return depth_right |
# Write a program that uses a for loop to print the numbers 8, 11, 14, 17, 20, ..., 83, 86, 89.
for i in range(8, 90, 3):
print(i)
|
puzzle_input = "359282-820401"
pwd_interval = [int(a) for a in puzzle_input.split('-')]
pwd_range = range(pwd_interval[0] , pwd_interval[1]+1)
# Part 1
def is_valid_pwd(code):
str_code = str(code)
double = False
increase = True
for i in range(5):
if str_code[i] == str_code[i+1]:
double = True
elif str_code[i] > str_code[i+1]:
increase = False
break
return double and increase
valid_passwords_1 = []
for code in pwd_range:
if is_valid_pwd(code):
valid_passwords_1.append(code)
print(len(valid_passwords_1))
# Part 2
def is_only_two_adjacents_digits(code):
str_code = str(code)
adjacent = 1
for i in range(5):
if str_code[i] == str_code[i+1]:
adjacent += 1
elif adjacent == 2:
return True
else:
adjacent = 1
return adjacent == 2
valid_passwords_2 = []
for code in valid_passwords_1:
if is_only_two_adjacents_digits(code):
valid_passwords_2.append(code)
print(len(valid_passwords_2))
|
# Write a program which accepts a sequence of comma-separated numbers from console
# and generate a list and a tuple which contains every number.Given the input:
# 34,67,55,33,12,98
# Then, the output should be:
# ['34', '67', '55', '33', '12', '98']
# ('34', '67', '55', '33', '12', '98')
str = input("Enter list: ")
res = str.split(',')
print(res)
str = tuple(map(int,str.split(',')))
print(str)
|
file = open('noTimeForATaxiCab_input.txt', 'r')
lines_read = file.readlines()
instructions = lines_read[0]
steps = instructions.split(", ")
x_blocks = 0
y_blocks = 0
# together, is_on_y_axis and is_facing_forward give you the cardinal direction you are facing
# North: is_on_y_axis = True, is_facing_forward = True
# South: True, False
# East: False, True
# West: False, False
is_on_y_axis = True
is_facing_forward = True
for step in steps:
direction = step[0]
blocks = int(step[1:])
is_right_turn = direction == "R"
is_now_facing_forward = (is_on_y_axis == is_right_turn)
if is_facing_forward:
is_facing_forward = is_now_facing_forward
else:
is_facing_forward = not is_now_facing_forward
# turning always switches which axis you are on
is_on_y_axis = not is_on_y_axis
if not is_facing_forward:
blocks = -blocks
if is_on_y_axis:
y_blocks += blocks
else:
x_blocks += blocks
print(abs(x_blocks) + abs(y_blocks)) |
def factorial(num):
fact = 0
if num == 0:
return 1
else:
fact = num * factorial(num-1)
return fact
num = 5
print("Factorial of",num,"is:",factorial(num))
|
# Copyright (C) 2015 UCSC Computational Genomics Lab
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
version = '1.6.2a1'
required_versions = {'pyyaml': '>=5.1',
'tsv': '==1.2',
'scikit-learn': '==0.22.1',
'pyvcf': '==0.6.8',
'futures': '==3.1.1'}
dependency_links = []
|
class Role(object):
id = None
name = None
color = None
managed = None
hoist = None
position = None
permissions = None
def __init__(self, stores, id):
self._stores = stores
self.id = int(id)
def update(self, role_data):
self.name = role_data.get('name', self.name)
self.color = int(role_data.get('color', self.color))
self.managed = bool(role_data.get('managed', self.managed))
self.hoist = bool(role_data.get('hoist', self.hoist))
self.position = int(role_data.get('position', self.position))
self.permissions = int(role_data.get('permissions', self.permissions))
class Member(object):
deaf = None
mute = None
joined_at = None
def __init__(self, stores, id):
self._stores = stores
self.id = int(id)
def update(self, member_data):
self.deaf = bool(member_data.get('deaf', self.deaf))
self.mute = bool(member_data.get('mute', self.mute))
self.joined_at = member_data.get('joined_at', self.joined_at)
@property
def user(self):
return self._stores.users.with_id(self.id)
def __repr__(self):
return u'<GuildMember: %r>' % self.user
class Guild(object):
afk_channel_id = None
splash = None
roles = None
name = None
voice_states = None
large = None
verification_level = None
member_count = None
region = None
joined_at = None
icon = None
features = None
emojis = None
members = None
afk_timeout = None
channels = None
owner_id = None
presences = None
id = None
def __init__(self, id, channels, **kwargs):
self.id = int(id)
self.channels = channels
self.__dict__.update(kwargs)
@classmethod
def from_ready_packet(cls, stores, **kwargs):
kwargs['roles'] = Guild.parse_roles(stores, kwargs['roles'])
kwargs['channels'] = stores.channels.in_bulk(c['id'] for c in kwargs['channels'])
return Guild(**kwargs)
def __repr__(self):
return u'<Guild %s (%s)>' % (self.name, self.id)
@classmethod
def parse_members(cls, stores, roles, members):
member_dict = {}
users = stores.users
for member in members:
print(member['user']['id'])
member['user'] = users.with_id(member['user']['id'])
member['roles'] = filter(None, (roles.get(int(r)) for r in member['roles']))
member = Member(stores, member['user']['id'])
member_dict[member.id] = member
return member_dict
@classmethod
def parse_roles(cls, stores, roles):
role_dict = {}
for role_data in roles:
role = Role(stores, role_data['id'])
role.update(role_data)
role_dict[role.id] = role
return role_dict
|
class Command:
def __init__(self, callback, *args, **kwargs):
self.callback = callback
self.args = args
self.kwargs = kwargs
def __call__(self):
return apply(self.callback, self.args, self.kwargs)
|
class Solution(object):
def XXX(self, n):
"""
:type n: int
:rtype: str
"""
dp = {1:'1'}
for i in range(2, n+1):
if not i in dp:
dp[i] = self.say(dp[i-1])
return dp[n]
def say(self, numstr):
res = ''
tmp = ''
i = 0
while i < len(numstr):
if numstr[i] in tmp or not tmp:
tmp += numstr[i]
elif not numstr[i]==tmp[0]:
res += str(len(tmp)) + tmp[0]
tmp = numstr[i]
i += 1
if tmp: res += str(len(tmp)) + tmp[0]
return res
|
def main():
s = input()
le = len(s)
l = list(zip(s, range(le)))
l = sorted(l, key = lambda x: (x[0], -x[1]), reverse=True)
s = l[0][0]
current_index = l[0][1]
for i in l[1:]:
if i[1]>current_index:
s += i[0]
current_index = i[1]
print(s)
if __name__=='__main__':
main()
|
"""
algoritmos primitivos para a elaboracao de um score
para avaliar um dado tabuleiro
"""
sudoku = [[5, 3, 0, 0, 7, 0, 0, 0, 0],
[6, 0, 0, 1, 9, 5, 0, 0, 0],
[0 ,9 ,8, 0, 0, 0, 0, 6, 0],
[8, 0, 0, 0, 6, 0, 0, 0, 3],
[4, 0, 0, 8, 0, 3, 0, 0, 1],
[7, 0, 0, 0, 2, 0, 0, 0, 6],
[0, 6, 0, 0, 0, 0, 2, 8, 0],
[0, 0, 0, 4, 1, 9, 0, 0, 5],
[0, 0, 0, 0, 8, 0, 0, 7, 9]]
def view_sudoku(sudoku):
for row in sudoku:
print(" ".join([str(value) for value in row]))
def check_rows(sudoku):
ok_rows = 0
for index, row in enumerate(sudoku):
if len(set(row)) == len(sudoku[index]):
ok_rows += 1
return ok_rows
def check_cols(sudoku):
ok_cols = 0
for row in list(zip(*sudoku)):
if len(set(row)) == len(sudoku):
ok_cols += 1
return ok_cols
def check_diagonals(sudoku):
diag_1 = ""; diag_2 = ""
for index, row in enumerate(sudoku):
for index_aux, value in enumerate(row):
if index == index_aux: diag_1 += str(value)
diag_2 += str(row[len(row)-index-1])
ok_diags = 0
if len(set(diag_1)) == len(sudoku[0]): ok_diags += 1
if len(set(diag_2)) == len(sudoku[0]): ok_diags += 1
return ok_diags
def avaliar_sudoku(sudoku):
return (check_rows(sudoku) + check_cols(sudoku) + check_diagonals(sudoku))/(len(sudoku) + len(sudoku[0]) + 2) * 10
|
#
# Exam Link: https://www.interviewbit.com/problems/implement-power-function/
#
# Question:
#
# Implement pow(x, n) % d.
#
# In other words, given x, n and d,
#
# find (xn % d)
#
# Note that remainders on division cannot be negative.
# In other words, make sure the answer you return is non negative.
#
# Input : x = 2, n = 3, d = 3
# Output : 2
#
# 2^3 % 3 = 8 % 3 = 2.
#
# Algorithm:
# Written By: Devesh Kumar
# Submission Details in Image: Power_function.png
#
class Solution:
# @param x : integer
# @param n : integer
# @param d : integer
# @return an integer
def pow(self, x, n, d):
res = 1
base = x%d
while n>0:
if n%2 ==1:
res = (res*base)%d
n = n>>1
base = (base*base)%d
return res%d
|
# Define
list = [1, 2, 3]
# Insertion
val = 4
list.append(val)
# Deletion
index = 0
del list[index]
# Access
print(list[index])
|
print("Enter the no of rows and starting number respectively: ")
n, i = map(int, input().split())
b = n
for j in range(0, n):
for k in range(b, 0, -1):
print(i, end=" ")
i = i - 1
b = b - 1
print() |
#a very useless function
def hi():
return "Hello World!"
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
def fun1(x,n=2):
s = 1
while n > 0:
n = n - 1
s = s * x
return s
def fun2(*numbers):
s = 0
for n in numbers:
s = s + n * n
return s
def add_end(L=None):
if L is None:
L = []
L.append('END')
return L
def person(name, age, **kw):
if 'city' in kw:
# 有city参数
pass
if 'job' in kw:
# 有job参数
pass
print('name:', name, 'age:', age, 'other:', kw)
# 命名关键字参数 特殊分隔符*,*后面的参数被视为命名关键字参数 本例为city job
# 有了一个可变参数,后面跟着的命名关键字参数就不再需要一个特殊分隔符*了 name, age, *args, city, job
def person(name, age, *, city, job):
print(name, age, city, job)
def f1(a, b, c=0, *args, **kw):
print('a =', a, 'b =', b, 'c =', c, 'args =', args, 'kw =', kw)
def f2(a, b, c=0, *, d, **kw):
print('a =', a, 'b =', b, 'c =', c, 'd =', d, 'kw =', kw)
|
x = 1.10
y = 1.0
z = -35.59
print(type(x))
print(type(y))
print(type(z))
|
# Arquivo: forca.py (UTF-8)
# Descrição: Jogo da forca
# Autor: Pinheiro Jr.
# Data: 15/06/2020
print('\n*********************************')
print('***Bem vindo ao jogo da Forca!***')
print('*********************************')
palavra_secreta = 'banana'
letras_acertadas = ['_','_','_','_','_','_']
acertou = False
enforcou = False
erros = 0
print('\n', letras_acertadas)
while not acertou and not enforcou:
chute = input('\nQual letra? ')
if chute in palavra_secreta:
posicao = 0
for letra in palavra_secreta:
if chute.upper() == letra.upper():
letras_acertadas[posicao] = letra
posicao += 1
acertou = '_' not in letras_acertadas
else:
erros += 1
enforcou = erros >= 6
print('Letras acertadas: ', letras_acertadas)
if acertou:
print('\nVocê ganhou!')
else:
print('\nVocê perdeu!')
print('Fim de Jogo\n')
|
#The MIT License (MIT)
#Copyright (c) 2016 Dan Cinnamon
#
#Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
#
#The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
#
#THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
#
#These definitions based on the definition file from: https://github.com/Cinntax/pyenvisalink Credit where it is due !
evl_Commands = {
'KeepAlive' : '000',
'StatusReport' : '001',
'Login' : '005',
'DumpZoneTimers' : '008',
'TimeSync' : '010',
'ArmAway' : '030',
'ArmStay' : '031',
'ArmMax' : '032',
'Disarm' : '040',
'TimeBroadcast': '0561',
'Panic' : '060',
'PartitionKeypress' : '071',
'SendCode' : '200',
'CommandOutput' : '020'
}
evl_PanicTypes = {
'Fire' : '1',
'Ambulance' : '2',
'Police' : '3'
}
evl_LedMask = {
'Ready' : 0x01,
'Armed' : 0x02,
'Memory' : 0x04,
'Bypass' : 0x08,
'Trouble' : 0x10,
'Program' : 0x20,
'Fire' : 0x40,
'Backlight' : 0x80
}
evl_TroubleMask = {
'Service is Required' : 0x01,
'AC Power Lost' : 0x02,
'Telephone Line Fault' : 0x04,
'Failure to Communicate' : 0x08,
'Sensor/Zone Fault' : 0x10,
'Sensor/Zone Tamper' : 0x20,
'Sensor/Zone Low Battery' : 0x40,
'Loss of Time' : 0x80
}
evl_ArmModes = {
'0' : {'name' : 'Arm Away', 'status':{'armed_away': True, 'armed_zero_entry_delay': False, 'alpha':'Arm Away', 'exit_delay':False, 'entry_delay': False }},
'1' : {'name' : 'Arm Stay', 'status':{'armed_stay': True, 'armed_zero_entry_delay': False, 'alpha':'Arm Stay', 'exit_delay':False, 'entry_delay': False }},
'2' : {'name' : 'Arm Zero Entry Away', 'status':{'armed_away': True, 'armed_zero_entry_delay': True, 'alpha':'Arm Zero Entry Away', 'exit_delay':False, 'entry_delay': False }},
'3' : {'name' : 'Arm Zero Entry Stay', 'status':{'armed_stay': True, 'armed_zero_entry_delay': True, 'alpha':'Arm Zero Entry Stay', 'exit_delay':False, 'entry_delay': False }}
}
evl_ResponseTypes = {
'500' : {'name':'Poll', 'handler':'poll_response'},
'501' : {'name':'Invalid Checksum', 'handler':'command_response_error'},
'502' : {'name':'An error has been detected', 'handler':'system_response_error'},
'505' : {'name':'Login Prompt', 'handler':'login'},
'550' : {'name':'Time Response', 'handler':'time_response'},
'615' : {'name':'Envisalink Zone Timer Dump', 'handler':'zone_timer_dump'},
'616' : {'name':'Zone Restored', 'handler':'zone_bypass_update'},
'900' : {'name':'EnterCode', 'handler':'send_code'},
#ZONE UPDATES
'601' : {'name':'Zone Alarm', 'handler':'zone_state_change', 'status':{'alarm' : True}},
'602' : {'name':'Zone Alarm Restore', 'handler':'zone_state_change', 'status':{'alarm' : False}},
'603' : {'name':'Zone Tamper', 'handler':'zone_state_change', 'status':{'tamper' : True}},
'604' : {'name':'Zone Tamper Restore', 'handler':'zone_state_change', 'status':{'tamper' : False}},
'605' : {'name':'Zone Fault', 'handler':'zone_state_change', 'status':{'fault' : True}},
'606' : {'name':'Zone Fault Restore', 'handler':'zone_state_change', 'status':{'fault' : False}},
'609' : {'name':'Zone Open', 'handler':'zone_state_change', 'status':{'open' : True}},
'610' : {'name':'Zone Restored', 'handler':'zone_state_change', 'status':{'open' : False}},
#PARTITION UPDATES
'510' : {'name':'Keypad LED State', 'handler':'keypad_led_change'},
'511' : {'name':'Keypad LED Flash State', 'handler':'keypad_led_change'},
'650' : {'name':'Ready', 'handler':'partition_state_change', 'status':{'ready' : True, 'alpha' : 'Ready', 'alarm' : False, 'armed_stay' : False, 'armed_zero_entry_delay': False, 'armed_away' : False, 'exit_delay' : False, 'entry_delay' : False}},
'651' : {'name':'Not Ready', 'handler':'partition_state_change', 'status':{'ready' : False, 'alpha' : 'Not Ready'}},
'652' : {'name':'Armed', 'handler':'partition_state_change'},
'653' : {'name':'Ready - Force Arming Enabled', 'handler':'partition_state_change', 'status':{'ready': True, 'alpha' : 'Ready - Force Arm'}},
'654' : {'name':'Alarm', 'handler':'partition_state_change', 'status':{'alarm' : True, 'alpha' : 'Alarm'}},
'655' : {'name':'Disarmed', 'handler':'partition_state_change', 'status' : {'alarm' : False, 'armed_stay' : False, 'armed_zero_entry_delay': False, 'armed_away' : False, 'exit_delay' : False, 'entry_delay' : False, 'alpha' : 'Disarmed'}},
'656' : {'name':'Exit Delay in Progress', 'handler':'partition_state_change', 'status':{'exit_delay' : True, 'alpha' : 'Exit Delay In Progress'}},
'657' : {'name':'Entry Delay in Progress', 'handler':'partition_state_change', 'status':{'entry_delay' : True, 'alpha' : 'Entry Delay in Progress'}},
'663' : {'name':'ChimeOn', 'handler':'partition_state_change', 'status': {'chime': True}},
'664' : {'name':'ChimeOff', 'handler':'partition_state_change', 'status': {'chime': False}},
'673' : {'name':'Busy', 'handler':'partition_state_change', 'status': {'alpha': 'Busy'}},
'700' : {'name':'Armed by user', 'handler':'partition_state_change'},
'750' : {'name':'Disarmed by user', 'handler':'partition_state_change', 'status' : {'alarm' : False, 'armed_stay' : False, 'armed_away' : False, 'armed_zero_entry_delay': False, 'exit_delay' : False, 'entry_delay' : False, 'alpha' : 'Disarmed'}},
'751' : {'name':'Disarmed special', 'handler':'partition_state_change', 'status' : {'alarm' : False, 'armed_stay' : False, 'armed_away' : False, 'armed_zero_entry_delay': False, 'exit_delay' : False, 'entry_delay' : False, 'alpha' : 'Disarmed'}},
'840' : {'name':'Trouble LED', 'handler':'partition_state_change', 'status':{'trouble' : True}},
'841' : {'name':'Trouble Clear', 'handler':'partition_state_change', 'status':{'trouble' : False}},
#GENERAL UPDATES
'621' : {'name':'FireAlarmButton', 'handler':'keypad_update', 'status':{'fire' : True, 'alarm': True, 'alpha' : 'Fire Alarm'}},
'622' : {'name':'FireAlarmButtonOff', 'handler':'keypad_update', 'status':{'fire' : False, 'alarm': False, 'alpha' : 'Fire Alarm Cleared'}},
'623' : {'name':'AuxAlarmButton', 'handler':'keypad_update', 'status':{'alarm': True, 'alpha' : 'Aux Alarm'}},
'624' : {'name':'AuxAlarmButtonOff', 'handler':'keypad_update', 'status':{'alarm': False, 'alpha' : 'Aux Alarm Cleared'}},
'625' : {'name':'PanicAlarmButton', 'handler':'keypad_update', 'status':{'alarm': True, 'alpha' : 'Panic Alarm'}},
'626' : {'name':'PanicAlarmButtonOff', 'handler':'keypad_update', 'status':{'alarm': False, 'alpha' : 'Panic Alarm Cleared'}},
'631' : {'name':'SmokeAlarmButton', 'handler':'keypad_update', 'status':{'alarm': True, 'alpha' : 'Smoke Alarm'}},
'632' : {'name':'SmokeAlarmButtonOff', 'handler':'keypad_update', 'status':{'alarm': False, 'alpha' : 'Smoke Alarm Cleared'}},
'660' : {'name':'PGM Output is in Progress', 'handler':'message_response_error'},
'670' : {'name':'Invalid Access Code', 'handler':'command_response_error'},
'671' : {'name':'Function Not Available', 'handler':'command_response_error'},
'672' : {'name':'Failure to Arm', 'handler':'command_response_error'},
'680' : {'name':'System in Installers Mode', 'handler':'message_response_error'},
'701' : {'name':'Special Closing', 'handler':'message_response_error'},
'702' : {'name':'Partial Closing - one or more zones have been bypassed', 'handler':'message_response_error'},
'800' : {'name':'LowBatTrouble', 'handler':'keypad_update', 'status':{'bat_trouble': True, 'alpha' : 'Low Battery'}},
'801' : {'name':'LowBatTroubleOff', 'handler':'keypad_update', 'status':{'bat_trouble': False, 'alpha' : 'Low Battery Cleared'}},
'802' : {'name':'ACTrouble', 'handler':'keypad_update', 'status':{'ac_present': False, 'alpha' : 'AC Power Lost'}},
'803' : {'name':'ACTroubleOff', 'handler':'keypad_update', 'status':{'ac_present': True, 'alpha' : 'AC Power Restored'}},
'829' : {'name':'SystemTamper', 'handler':'keypad_update', 'status':{'alpha' : 'System tamper'}},
'830' : {'name':'SystemTamperOff', 'handler':'keypad_update', 'status':{'alpha' : 'System tamper Restored'}},
'849' : {'name':'Verbose Trouble Status', 'handler':'verbose_status'},
'912' : {'name':'Command Output Pressed', 'handler':'output_pressed'},
}
evl_Errors = {
'000' : {'description' : 'No Error'},
'001' : {'description' : 'Receive Buffer Overrun (a command is received while another is still being processed)'},
'002' : {'description' : 'Receive Buffer Overflow'},
'003' : {'description' : 'Transmit Buffer Overflow'},
'010' : {'description' : 'Keybus Transmit Buffer Overrun'},
'011' : {'description' : 'Keybus Transmit Time Timeout'},
'012' : {'description' : 'Keybus Transmit Mode Timeout'},
'013' : {'description' : 'Keybus Transmit Keystring Timeout'},
'014' : {'description' : 'Keybus Interface Not Functioning (the TPI cannot communicate with the security system)'},
'015' : {'description' : 'Keybus Busy (Attempting to Disarm or Arm with user code)'},
'016' : {'description' : 'Keybus Busy – Lockout (The panel is currently in Keypad Lockout – too many disarm attempts)'},
'017' : {'description' : 'Keybus Busy – Installers Mode (Panel is in installers mode, most functions are unavailable)'},
'018' : {'description' : 'Keybus Busy – General Busy (The requested partition is busy)'},
'020' : {'description' : 'API Command Syntax Error'},
'021' : {'description' : 'API Command Partition Error (Requested Partition is out of bounds)'},
'022' : {'description' : 'API Command Not Supported'},
'023' : {'description' : 'API System Not Armed (sent in response to a disarm command)'},
'024' : {'description' : 'API System Not Ready to Arm (system is either not-secure, in exit-delay, or already armed)'},
'025' : {'description' : 'API Command Invalid Length'},
'026' : {'description' : 'API User Code not Required'},
'027' : {'description' : 'API Invalid Characters in Command (no alpha characters are allowed except for checksum)'},
}
|
BN_MOMENTUM = 0.95
BN_RENORM = False
L2_REG = 1.25e-5
DROPOUT = 0.25
ACTIVATION = "relu"
KERNEL_INIT = "he_uniform" |
class InputItem:
def __init__(self, id_list, index_list, data=None, label=None, receipt_time=0):
self.query_id_list = id_list
self.sample_index_list = index_list
self.data = data
self.label = label
self.receipt_time = receipt_time
|
class Something:
pass
# No book version will cause an error.
|
# -*- coding: UTF-8 -*-
class Testlib(object):
def __init__(self,a):# 类初始化调用
print("准备就绪······")
self.a = a
def say(self,str):
print("开始写入日志······")
# r 读、指针在开始
# r+ 读、写、指针在开始
# w 写、创建、覆盖、指针在开始
# w+ 读、写、创建、覆盖、指针在开始
# a 写、创建、指针在结尾
# a+ 读、写、创建、指针在结尾
fo = open("homework.txt", "a+",encoding='utf-8')# 这里和2.7有区别
print("文件名: ", fo.name)
fo.write(str+"\n")
fo.close()
# 多重继承通过 super()调用__init__()方法时,虽然被继承了两次,但__init__()只调用一次
class TestlibB(Testlib):
def __init__(self,a):
super(TestlibB, self).__init__(a)
print("处理完毕了") |
# Solo una prueba #
problem_type = str(input('Tipo de problema: serv_degr or serv_out ')) #serv_degr or serv_out
dmark = str(input('¿equipo de demarcacion? true or false ')) #true or false
# Solo una prueba #
if problem_type == 'serv_degr':
if dmark == 'true':
problem_type = 'serv_degr'
dmark = 'true'
print('serv_degr_dmark')
else:print('serv_degr')
else:
if dmark == 'true':
problem_type = 'serv_out'
dmark = 'true'
print('serv_out_dmark')
else:print('serv_out')
|
#
# PySNMP MIB module A3Com-Filter-r5-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/A3COM-FILTER-R5-MIB
# Produced by pysmi-0.3.4 at Wed May 1 11:03:39 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
OctetString, ObjectIdentifier, Integer = mibBuilder.importSymbols("ASN1", "OctetString", "ObjectIdentifier", "Integer")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ValueSizeConstraint, ValueRangeConstraint, ConstraintsUnion, SingleValueConstraint, ConstraintsIntersection = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "ValueRangeConstraint", "ConstraintsUnion", "SingleValueConstraint", "ConstraintsIntersection")
MacAddress, = mibBuilder.importSymbols("RFC1286-MIB", "MacAddress")
NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance")
ObjectIdentity, NotificationType, Unsigned32, iso, Integer32, Counter32, Gauge32, Counter64, IpAddress, MibIdentifier, TimeTicks, Bits, ModuleIdentity, MibScalar, MibTable, MibTableRow, MibTableColumn, enterprises = mibBuilder.importSymbols("SNMPv2-SMI", "ObjectIdentity", "NotificationType", "Unsigned32", "iso", "Integer32", "Counter32", "Gauge32", "Counter64", "IpAddress", "MibIdentifier", "TimeTicks", "Bits", "ModuleIdentity", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "enterprises")
TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString")
a3Com = MibIdentifier((1, 3, 6, 1, 4, 1, 43))
brouterMIB = MibIdentifier((1, 3, 6, 1, 4, 1, 43, 2))
a3ComFilter = MibIdentifier((1, 3, 6, 1, 4, 1, 43, 2, 10))
a3ComFilterCtl = MibIdentifier((1, 3, 6, 1, 4, 1, 43, 2, 10, 1))
class RowStatus(Integer32):
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6))
namedValues = NamedValues(("active", 1), ("notInService", 2), ("notReady", 3), ("createAndGo", 4), ("createAndWait", 5), ("destroy", 6))
a3filterControl = MibScalar((1, 3, 6, 1, 4, 1, 43, 2, 10, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("enableMatchOne", 1), ("enableCheckAll", 2), ("disable", 3)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterControl.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterControl.setDescription('This object enables/disables the filtering function. If this object is set to disable (2), filtering is turned off for all protocols. If the control is set to enableMatchOne (1) or enableCheckAll (2), then filtering is performed on protocols that are selected via the a3filter*Select objects and those for which at least one policy is configured. If a packet matches the Masks defined for more than one Policy and this object is set to enableMatchOne, only the action associated with the first satisfied Policy is performed. If this object is set to enableCheckAll (2), however, the actions associated with each satisfied Policy is performed.')
a3filterDefaultAction = MibScalar((1, 3, 6, 1, 4, 1, 43, 2, 10, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("discard", 1), ("forward", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterDefaultAction.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterDefaultAction.setDescription('This object specifies the action applied to a packet if it does not match any of the policies configured or if two conflicting policies are specified and the the packet meets criteria associated with both.')
a3filterBridgeSelect = MibScalar((1, 3, 6, 1, 4, 1, 43, 2, 10, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("filter", 1), ("noFilter", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterBridgeSelect.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterBridgeSelect.setDescription('This object determines whether the filter function will be invoked for the Bridge (or datalink) protocol layer. This provides a mechanism for deselecting filtering for this protocol layer while retaining the policies and masks configured for this protocol.')
a3filterIpSelect = MibScalar((1, 3, 6, 1, 4, 1, 43, 2, 10, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("filter", 1), ("noFilter", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterIpSelect.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterIpSelect.setDescription('This object determines whether the filter function will be invoked for the IP protocol layer. This provides a mechanism for deselecting filtering for this protocol layer while retaining the policies and masks configured for this protocol.')
a3filterIpxSelect = MibScalar((1, 3, 6, 1, 4, 1, 43, 2, 10, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("filter", 1), ("noFilter", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterIpxSelect.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterIpxSelect.setDescription('This object determines whether the filter function will be invoked for the IPX protocol layer. This provides a mechanism for deselecting filtering for this protocol layer while retaining the policies and masks configured for this protocol.')
a3filterAppleTalkSelect = MibScalar((1, 3, 6, 1, 4, 1, 43, 2, 10, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("filter", 1), ("noFilter", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterAppleTalkSelect.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterAppleTalkSelect.setDescription('This object determines whether the filter function will be invoked for the Apple Talk protocol layer. This provides a mechanism for deselecting filtering for this protocol layer while retaining the policies and masks configured for this protocol.')
a3filterDecSelect = MibScalar((1, 3, 6, 1, 4, 1, 43, 2, 10, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("filter", 1), ("noFilter", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterDecSelect.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterDecSelect.setDescription('This object determines whether the filter function will be invoked for the DECnet protocol layer. This provides a mechanism for deselecting filtering for this protocol layer while retaining the policies and masks configured for this protocol.')
a3filterUserMaskTable = MibTable((1, 3, 6, 1, 4, 1, 43, 2, 10, 2), )
if mibBuilder.loadTexts: a3filterUserMaskTable.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterUserMaskTable.setDescription('A table containing User configured Masks that are used to identify specific classes of packets. These masks are used by the policy table to define actions to take on these classes of packets.')
a3filterUserMaskEntry = MibTableRow((1, 3, 6, 1, 4, 1, 43, 2, 10, 2, 1), ).setIndexNames((0, "A3Com-Filter-r5-MIB", "a3filterUserMaskIndex"))
if mibBuilder.loadTexts: a3filterUserMaskEntry.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterUserMaskEntry.setDescription('The definition of a single Mask.')
a3filterUserMaskIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 2, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 64))).setMaxAccess("readonly")
if mibBuilder.loadTexts: a3filterUserMaskIndex.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterUserMaskIndex.setDescription('An index identifying a specific Mask. All user configured masks must have an index between 1 and 64.')
a3filterUserMaskName = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 2, 1, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 15))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterUserMaskName.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterUserMaskName.setDescription('A text string used to help identify a specific Mask. Each entry must have a unique name.')
a3filterUserMaskLocType = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 2, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7))).clone(namedValues=NamedValues(("protocolFieldSemantics", 1), ("offsetLengthSemantics", 2), ("dataLinkOffsetLengthSemantics", 3), ("ipOffsetLengthSemantics", 4), ("ipxOffsetLengthSemantics", 5), ("appleTalkOffsetLengthSemantics", 6), ("decNetOffsetLengthSemantics", 7)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterUserMaskLocType.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterUserMaskLocType.setDescription('This object determines if this table entry specifies packet location via the mnemonic, protocol.field semantics or via the numerical offset.length semantics. If this object is set to protocolFieldSemantics (1), then the value of a3filterUserMaskLocField is used to identify the packet location where the mask is applied. If this object is set to offsetLengthSemantics(2), then the offset and lengths identified by a3filterUserMaskLocOffset and a3filterUserMaskLocLength are measured from the start of the datalink layer. If this object is set to dataLinkOffsetLengthSemantics(3), then the value of a3filterUserMaskLocOffset and a3filterUserMaskLocLength are used to determine where the mask is applied. The offset and length are measured starting from the data field of the data link protocol layer. If this object is set to ipOffsetLengthSemantics(4), then the value of a3filterUserMaskLocOffset and a3filterUserMaskLocLength are used to determine where the mask is applied. The offset and length are measured starting from the data field of the IP protocol layer. If this object is set to appleTalkOffsetLengthSemantics(5), then the value of a3filterUserMaskLocOffset and a3filterUserMaskLocLength are used to determine where the mask is applied. The offset and length are measured starting from the data field of the AppleTalk protocol layer. Similar semantics apply to the remaining enumerations for this object.')
a3filterUserMaskLocField = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 2, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47))).clone(namedValues=NamedValues(("dlDestinationAddress", 1), ("dlSourceAddress", 2), ("dlAddress", 3), ("dlProtocol", 4), ("dlLength", 5), ("dlDSAP", 6), ("dlSSAP", 7), ("dlLSAP", 8), ("dlOUI", 9), ("dlLanID", 10), ("ipDestAddress", 11), ("ipSourceAddress", 12), ("ipAddress", 13), ("ipProtocol", 14), ("ipDestinationPort", 15), ("ipSourcePort", 16), ("ipPort", 17), ("ipOptions", 18), ("ipTOS", 19), ("ipxDestNetwork", 20), ("ipxSourceNetwork", 21), ("ipxNetwork", 22), ("ipxDestAddress", 23), ("ipxSourceAddress", 24), ("ipxAddress", 25), ("ipxDestSocket", 26), ("ipxSourceSocket", 27), ("ipxSocket", 28), ("atDestinationNetwork", 29), ("atSourceNetwork", 30), ("atNetwork", 31), ("atDestinationNodeID", 32), ("atSourceNodeID", 33), ("atNodeID", 34), ("atDestinationSocket", 35), ("atSourceSocket", 36), ("atSocket", 37), ("atDDPType", 38), ("decDestinationArea", 39), ("decSourceArea", 40), ("decArea", 41), ("decDestAddress", 42), ("decSourceAddress", 43), ("decAddress", 44), ("ipxPktLength", 45), ("ipxPktType", 46), ("ipxTransportCtl", 47)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterUserMaskLocField.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterUserMaskLocField.setDescription('This object specifies the location in the packet where the operation should take place. This object takes effect only when a3filterUserMaskLocationType has the value protocolFieldSemantics(1). Otherwise, this object is ignored.')
a3filterUserMaskLocOffset = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 2, 1, 5), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterUserMaskLocOffset.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterUserMaskLocOffset.setDescription('When specifying a packet location via the offsetLength semantics, this parameters indicates the offset from the beginning of the portion of the protocol layer identified by a3filterUserMaskLocationType that is used in the Mask.')
a3filterUserMaskLocLength = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 2, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6))).clone(namedValues=NamedValues(("one", 1), ("two", 2), ("reserved", 3), ("four", 4), ("rsvd", 5), ("six", 6)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterUserMaskLocLength.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterUserMaskLocLength.setDescription('When specifying a packet location via the offsetLength semantics, this parameter indicates the length of the bit field used in the Mask. Only the values one(1), two(2), four(4), and six(6) are allowed. If the length is not specified, the agent will automatically determine the proper length based on either the operand (a3filterUserMaskOperand) or the matching values (a3filterUserMaskMatchType).')
a3filterUserMaskOperator = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 2, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("none", 1), ("or", 2), ("and", 3), ("xor", 4)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterUserMaskOperator.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterUserMaskOperator.setDescription('This object, together with a3filterUserMaskOperand, cause bit operations to be performed on the bit field identified by a3filterUserMaskLocation. The output of this operation is compared, according to a3filterUserMaskComparison, to the value specified by a3filterUserMaskMatch.')
a3filterUserMaskOperand = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 2, 1, 8), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 4))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterUserMaskOperand.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterUserMaskOperand.setDescription('This object, together with a3filterUserMaskOperator, cause bit operations to be performed on the bit field identified by a3filterUserMaskLocation. The output of this operation is compared, according to a3filterUserMaskComparison, to the value specified by a3filterUserMaskMatchType and a3filterUserMaskMatchBits, a3filterUserMaskMatchValue1, and/or a3filterUserMaskMatchValue2 (depending on the value of a3filterUserMaskMatchType. ie, the value of a3filterUserMaskMatchType determines which of the other objects are relevant).')
a3filterUserMaskComparison = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 2, 1, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7))).clone(namedValues=NamedValues(("equal", 1), ("notEqual", 2), ("greaterThan", 3), ("greaterThanOrEqual", 4), ("lessThan", 5), ("lessThanOrEqual", 6), ("inclusiveRange", 7)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterUserMaskComparison.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterUserMaskComparison.setDescription('This object specifies the type of comparison to make between the output of the operation specified by a3filterUserMaskLocation, a3filterUserMaskOperator, a3filterUserMaskOperand, and a3filterUserMaskMatch.')
a3filterUserMaskMatchType = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 2, 1, 10), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("all", 1), ("bits", 2), ("value", 3), ("valueRange", 4), ("userGroup", 5)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterUserMaskMatchType.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterUserMaskMatchType.setDescription('This object specifies the type of data that is being matched. The value of this object determines which column(s) are relevant for this entry. If this object is set to all(1), any value is considered as matching, and the values of the following columns are ignored: a3filterUserMaskMatchBits, a3filterUserMaskMatchValue1, and a3filterUserMaskMatchValue2. If this object is set to bits(2), then the packet location identified by the *Loc* columns (and after the indicated bit operations) is compared to the bits identified by a3filterUserMaskMatchBits. The values of a3filterUserMaskMatchValue1 and a3filterUserMaskMatchValue2 are ignored in this case. If this object is set to value(3), then the value contained in the specified packet location is compared to the value specified by a3filterUserMaskMatchValue1. The values of a3filterUserMaskMatchBits and a3filterUserMaskMatchValue2 are ignored in this case. If this object is set to valueRange(4), then the value contained in the specified packet location is compared to the range of values specified by a3filterUserMaskMatchValue1 and a3filterUserMaskMatchValue2. The value of a3filterUserMaskMatchBits is ignored in this case. Finally, if this object is set to userGroup(5), then the MAC address contained in the specified packet location is compared to the members of the User Group identified by a3filterUserMaskMatchValue1. In this case, the value of a3filterUserMaskMatchValue1 identifies one or more entries in a3filterUserGrpAddrTable. The values of a3filterUserMaskMatchBits and a3filterUserMaskMatchValue2 are ignored.')
a3filterUserMaskMatchBits = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 2, 1, 11), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 6))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterUserMaskMatchBits.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterUserMaskMatchBits.setDescription('A string of bits that is compared against the data at the specified location in the packet. This object is relevant only if a3filterUserMaskMatchType is (2).')
a3filterUserMaskMatchValue1 = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 2, 1, 12), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterUserMaskMatchValue1.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterUserMaskMatchValue1.setDescription('The value used to compare against the data at the specified location in the packet. This object is relevant only if the value of a3filterUserMaskMatchType is (3), (4), or (5).')
a3filterUserMaskMatchValue2 = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 2, 1, 13), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterUserMaskMatchValue2.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterUserMaskMatchValue2.setDescription('The value used to compare against the data at the specified location in the packet. This object is used along with a3filterUserMaskMatchValue1 to specify a range of values. This object is relevant only if a3filterUserMaskMatchType is (4).')
a3filterUserMaskStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 2, 1, 14), RowStatus()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterUserMaskStatus.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterUserMaskStatus.setDescription('This object is used to add and delete entries in this table. See the notes describing RowStatus at the beginning of this MIB. Note, if this mask entry is being used by an active Policy entry, it can not be removed.')
a3filterBuiltInMaskTable = MibTable((1, 3, 6, 1, 4, 1, 43, 2, 10, 3), )
if mibBuilder.loadTexts: a3filterBuiltInMaskTable.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterBuiltInMaskTable.setDescription('A table containing Built In Masks that are used to identify specific classes of packets. These masks may be used by the policy table to define actions to take on these classes of packets.')
a3filterBuiltInMaskEntry = MibTableRow((1, 3, 6, 1, 4, 1, 43, 2, 10, 3, 1), ).setIndexNames((0, "A3Com-Filter-r5-MIB", "a3filterBuiltInMaskIndex"))
if mibBuilder.loadTexts: a3filterBuiltInMaskEntry.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterBuiltInMaskEntry.setDescription('The definition of a single Built In Mask.')
a3filterBuiltInMaskIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 3, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(257, 65535))).setMaxAccess("readonly")
if mibBuilder.loadTexts: a3filterBuiltInMaskIndex.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterBuiltInMaskIndex.setDescription('This object uniquely identifies a Built In Mask. This index is also used by the Policy Table to identify Masks, both Built In and User Defined.')
a3filterBuiltInMaskName = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 3, 1, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 15))).setMaxAccess("readonly")
if mibBuilder.loadTexts: a3filterBuiltInMaskName.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterBuiltInMaskName.setDescription('The name assigned to a Built In Mask. Each name is unique and applies when referring to the Mask from the User Interface.')
a3filterBuiltInMaskFieldValue = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 3, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60))).clone(namedValues=NamedValues(("dlBroadCast", 1), ("dlMultiCast", 2), ("appleTalkII", 3), ("aarp", 4), ("arp", 5), ("clnp", 6), ("decPhaseIV", 7), ("dlTest", 8), ("ip", 9), ("ipx", 10), ("lat", 11), ("ipNetMap", 12), ("xnsNetMap", 13), ("stp", 14), ("vip", 15), ("xns", 16), ("specificRoute", 17), ("singleRouteExp", 18), ("allRouteExp", 19), ("allRouteType", 20), ("icmp", 21), ("tcp", 22), ("udp", 23), ("dns", 24), ("finger", 25), ("ftp", 26), ("whois", 27), ("simpleMailTrans", 28), ("snmp", 29), ("sunRPC", 30), ("telnet", 31), ("tftp", 32), ("x400", 33), ("zero", 34), ("one", 35), ("two", 36), ("three", 37), ("four", 38), ("five", 39), ("six", 40), ("seven", 41), ("ipxBroadCast", 42), ("fileServicePkt", 43), ("sap", 44), ("rip", 45), ("netBIOS", 46), ("diag", 47), ("rtmps", 48), ("nis", 49), ("zis", 50), ("rtmprs", 51), ("nbp", 52), ("atp", 53), ("aep", 54), ("rtmprq", 55), ("zip", 56), ("adsp", 57), ("ipxTraceRt", 58), ("ipxPing", 59), ("ipxNwSec", 60)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: a3filterBuiltInMaskFieldValue.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterBuiltInMaskFieldValue.setDescription('This object identifies the value that this Built In Mask looks for as well as the protocol field. Note, the way this table defines a Mask is different from the semantics of the User Mask table. In that table, Masks look for specific values in specific protocol fields. Built In Masks, however, are different. For example, one Built In Mask looks for the value ip(9) in the field dataLinkProtocol(2). Besides looking in the dataLinkProtocol field, the code that implements this mask also looks for IP in the proper SNAP field when the dataLinkProtocol field indicates SNAP.')
a3filterUserGrpTable = MibTable((1, 3, 6, 1, 4, 1, 43, 2, 10, 4), )
if mibBuilder.loadTexts: a3filterUserGrpTable.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterUserGrpTable.setDescription('A table containing User Group entries. Each entry identifies a set of entries in the a3filterUserGrpAddrTable which can contain several station Addresses. These addresses are physical layer addresses. This table is used to associate a single User Group index with a name.')
a3filterUserGrpEntry = MibTableRow((1, 3, 6, 1, 4, 1, 43, 2, 10, 4, 1), ).setIndexNames((0, "A3Com-Filter-r5-MIB", "a3filterUserGrpIndex"))
if mibBuilder.loadTexts: a3filterUserGrpEntry.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterUserGrpEntry.setDescription('Each entry in this table identifies a group of station addresses.')
a3filterUserGrpIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 4, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 16))).setMaxAccess("readonly")
if mibBuilder.loadTexts: a3filterUserGrpIndex.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterUserGrpIndex.setDescription('Each entry in this table identifies a group of station addresses.')
a3filterUserGrpName = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 4, 1, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 15))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterUserGrpName.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterUserGrpName.setDescription('The name given to this group of station addresses.')
a3filterUserGrpStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 4, 1, 3), RowStatus()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterUserGrpStatus.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterUserGrpStatus.setDescription('This object is used to add and delete entries in this table. See the notes describing RowStatus at the beginning of this MIB.')
a3filterUserGrpAddrTable = MibTable((1, 3, 6, 1, 4, 1, 43, 2, 10, 5), )
if mibBuilder.loadTexts: a3filterUserGrpAddrTable.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterUserGrpAddrTable.setDescription('A table containing User Group addresses. Each entry can contain several station Addresses. These addresses are physical layer addresses. Note, this table applies only to filtering based on the Data Link layer. Since only bridged packets are filtered at this layer, this table only applies to bridged traffic.')
a3filterUserGrpAddrEntry = MibTableRow((1, 3, 6, 1, 4, 1, 43, 2, 10, 5, 1), ).setIndexNames((0, "A3Com-Filter-r5-MIB", "a3filterUserGrpAddrIndex"), (0, "A3Com-Filter-r5-MIB", "a3filterUserGrpAddress"))
if mibBuilder.loadTexts: a3filterUserGrpAddrEntry.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterUserGrpAddrEntry.setDescription('Each entry in this table identifies a single station address.')
a3filterUserGrpAddrIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 5, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 16))).setMaxAccess("readonly")
if mibBuilder.loadTexts: a3filterUserGrpAddrIndex.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterUserGrpAddrIndex.setDescription('This is used to identify a group of station addresses. This object has the same value as a3filterUserGrpIndex.')
a3filterUserGrpAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 5, 1, 2), MacAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: a3filterUserGrpAddress.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterUserGrpAddress.setDescription('A single station physical address.')
a3filterUserGrpAddrStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 5, 1, 3), RowStatus()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterUserGrpAddrStatus.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterUserGrpAddrStatus.setDescription('This object is used to add and delete entries in this table. See the notes describing RowStatus at the beginning of this MIB.')
a3filterPolicyTable = MibTable((1, 3, 6, 1, 4, 1, 43, 2, 10, 6), )
if mibBuilder.loadTexts: a3filterPolicyTable.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterPolicyTable.setDescription('A table containing filtering Policy. Each Policy applies a set of selection criteria (Masks) to a context (in terms of ports or station groups) and associates an action with that application.')
a3filterPolicyEntry = MibTableRow((1, 3, 6, 1, 4, 1, 43, 2, 10, 6, 1), ).setIndexNames((0, "A3Com-Filter-r5-MIB", "a3filterPolicyIndex"))
if mibBuilder.loadTexts: a3filterPolicyEntry.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterPolicyEntry.setDescription('The definition of a single Policy.')
a3filterPolicyIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 6, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 64))).setMaxAccess("readonly")
if mibBuilder.loadTexts: a3filterPolicyIndex.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterPolicyIndex.setDescription('The index used to identify a filter policy entry.')
a3filterPolicyName = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 6, 1, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 15))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterPolicyName.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterPolicyName.setDescription('A textual name used to help identify a filter policy entry. Each entry must have a unique name.')
a3filterPolicyAction = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 6, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9))).clone(namedValues=NamedValues(("discard", 1), ("forward", 2), ("count", 3), ("sequence", 4), ("prioritizeHigh", 5), ("prioritizeMed", 6), ("prioritizeLow", 7), ("doddiscard", 8), ("x25ProfId", 9)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterPolicyAction.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterPolicyAction.setDescription("The action taken when a packet matches all the masks (applied in the proper context) identified in this policy entry. If this object has the value discard(1), then all packets that match the masks and context of this entry are discarded. If this object has the value forward(2), then all packets that match the masks and context of this entry are forwarded. If this object has the value count(3), then all packets that match the masks and context of this entry are counted. The actual counts can be obtained by requesting the values of a3filterPolicyPackets and a3filterPolicyBytes. If this object has the value sequence(4), then all bridged packets destined for a port with multiple serial paths that match the masks and context of this entry are forwarded in sequence. If this object has the value prioritze, then all packets destined for a port supported by one or more serial paths that match the masks and context of this entry are given higher priority. If this object has the value doddiscard(8), then all packets that match the masks and context of this entry will be subjected to the 'DODdiscard' action; ie, those packets will be discarded and will not raise a DOD path if the path is down, or if the path is UP, those packets will be forwarded but will not keep the path up. If this object has the value x25ProfId(9), then all packets that match the masks and context of this entry will use the X25 Profile identified by a3filterPolicyX25ProfId when passing those packets over an X25 network.")
a3filterPolicyMask1 = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 6, 1, 4), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterPolicyMask1.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterPolicyMask1.setDescription('This object identifies an entry in either of the Mask Tables. Each filter policy entry identifies up to four separate masks. An entry of zero for this object identifies a null mask.')
a3filterPolicyMask2 = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 6, 1, 5), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterPolicyMask2.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterPolicyMask2.setDescription('This object identifies an entry in either of the Mask Tables. Each filter policy entry identifies up to four separate masks. An entry of zero for this object identifies a null mask.')
a3filterPolicyMask3 = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 6, 1, 6), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterPolicyMask3.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterPolicyMask3.setDescription('This object identifies an entry in the Mask Table. Each filter policy entry identifies up to four separate masks. An entry of zero for this object identifies a null mask.')
a3filterPolicyMask4 = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 6, 1, 7), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterPolicyMask4.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterPolicyMask4.setDescription('This object identifies an entry in the Mask Table. Each filter policy entry identifies up to four separate masks. An entry of zero for this object identifies a null mask.')
a3filterPolicyContext = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 6, 1, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7))).clone(namedValues=NamedValues(("all", 1), ("atPorts1", 2), ("fromPorts1", 3), ("fromPorts1ToPorts2", 4), ("toPorts1", 5), ("betweenPorts1AndPorts2", 6), ("amongPorts1", 7))).clone('all')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterPolicyContext.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterPolicyContext.setDescription('Supplies conditions on when to apply the masks to a packet. These conditions relate to the source and destination ports of a packet. All (1) means apply the action in all contexts. AT (2) means apply the action if the packet is received from or distined to the ports specified by a3filterPolicyPorts1. TO (3) means apply the action if the packet is destined to those ports. FROM (4) means apply the action if the packet is received from one of those specified ports. FROM ports1 TO ports2 (5) means apply the action if the packet is received from the ports defined by a3filterPolicyPorts1 and destined to the port defined by a3filterPolicyPorts2. BETWEEN ports1 AND ports2 (6) means apply the action if the packet is received from one of the ports defined by a3filterPolicyPorts1 and destined for one of the ports defined by a3filterPolicyPorts2 or if the packet is received from one of the ports defined by a3filterPolicyPorts2 and destined for one of the ports defined by a3filterPolicyPorts1. Finally AMONG (7) means apply the action if the packet is received from and destined to one of the ports specified by a3filterPolicyPorts1')
a3filterPolicyPorts1 = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 6, 1, 9), OctetString()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterPolicyPorts1.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterPolicyPorts1.setDescription("This object identifies one or more ports. These ports are used to help identify in what contexts masks are applied. This is used in conjunction with a3filterPolicyContext. Each octet within the value of this object specifies a set of eight ports, with the first octet specifying ports 1 through 8, the second octet specifying ports 9 through 16, etc. Within each octet, the most significant bit represents the lowest numbered port, and the least significant bit represents the highest numbered port. Thus, each port of the bridge is represented by a single bit within the value of this object. If that bit has a value of '1' then that port is included in the set of ports; the port is not included if its bit has a value of '0'. (Note that the setting of the bit corresponding to the port from which a frame is received is irrelevant.)")
a3filterPolicyPorts2 = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 6, 1, 10), OctetString()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterPolicyPorts2.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterPolicyPorts2.setDescription("This object identifies one or more ports. These ports are used to help identify in what contexts masks are applied. This is used in conjunction with a3filterPolicyContext. Each octet within the value of this object specifies a set of eight ports, with the first octet specifying ports 1 through 8, the second octet specifying ports 9 through 16, etc. Within each octet, the most significant bit represents the lowest numbered port, and the least significant bit represents the highest numbered port. Thus, each port of the bridge is represented by a single bit within the value of this object. If that bit has a value of '1' then that port is included in the set of ports; the port is not included if its bit has a value of '0'. (Note that the setting of the bit corresponding to the port from which a frame is received is irrelevant.) Note, this object only applies if a3filterPolicyContext has the value fromPorts1ToPorts2 (5) or betweenPorts1AndPorts2 (6) or amongPorts1(7).")
a3filterPolicyPackets = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 6, 1, 11), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: a3filterPolicyPackets.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterPolicyPackets.setDescription('The number of packets that match the policy defined by this entry.')
a3filterPolicyBytes = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 6, 1, 12), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: a3filterPolicyBytes.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterPolicyBytes.setDescription('The total number of bytes in the packets that match the policy defined by this entry.')
a3filterPolicyStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 6, 1, 13), RowStatus()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterPolicyStatus.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterPolicyStatus.setDescription('This object is used to add and delete entries in this table. See the notes describing RowStatus at the beginning of this MIB.')
a3filterPolicyX25ProfId = MibTableColumn((1, 3, 6, 1, 4, 1, 43, 2, 10, 6, 1, 14), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: a3filterPolicyX25ProfId.setStatus('mandatory')
if mibBuilder.loadTexts: a3filterPolicyX25ProfId.setDescription('The index used to identify the X25 Profile ID if a3filterPolicyAction is set to X25ProfId.')
mibBuilder.exportSymbols("A3Com-Filter-r5-MIB", a3filterUserMaskLocType=a3filterUserMaskLocType, a3filterUserGrpTable=a3filterUserGrpTable, a3filterUserGrpIndex=a3filterUserGrpIndex, a3ComFilter=a3ComFilter, a3filterUserGrpAddress=a3filterUserGrpAddress, a3filterPolicyPorts2=a3filterPolicyPorts2, a3filterUserMaskComparison=a3filterUserMaskComparison, brouterMIB=brouterMIB, a3filterUserGrpAddrStatus=a3filterUserGrpAddrStatus, a3filterUserMaskLocField=a3filterUserMaskLocField, a3filterIpxSelect=a3filterIpxSelect, a3filterUserMaskEntry=a3filterUserMaskEntry, RowStatus=RowStatus, a3filterUserMaskLocLength=a3filterUserMaskLocLength, a3filterPolicyBytes=a3filterPolicyBytes, a3filterUserMaskName=a3filterUserMaskName, a3filterPolicyMask2=a3filterPolicyMask2, a3filterAppleTalkSelect=a3filterAppleTalkSelect, a3filterPolicyMask1=a3filterPolicyMask1, a3filterPolicyPackets=a3filterPolicyPackets, a3filterPolicyContext=a3filterPolicyContext, a3filterControl=a3filterControl, a3filterUserMaskMatchValue1=a3filterUserMaskMatchValue1, a3Com=a3Com, a3filterUserMaskMatchBits=a3filterUserMaskMatchBits, a3filterUserMaskIndex=a3filterUserMaskIndex, a3filterUserGrpAddrIndex=a3filterUserGrpAddrIndex, a3filterIpSelect=a3filterIpSelect, a3filterUserMaskOperand=a3filterUserMaskOperand, a3filterBuiltInMaskName=a3filterBuiltInMaskName, a3filterUserGrpName=a3filterUserGrpName, a3filterPolicyMask4=a3filterPolicyMask4, a3filterUserMaskLocOffset=a3filterUserMaskLocOffset, a3filterUserMaskMatchType=a3filterUserMaskMatchType, a3filterUserGrpAddrEntry=a3filterUserGrpAddrEntry, a3filterUserGrpAddrTable=a3filterUserGrpAddrTable, a3filterBuiltInMaskFieldValue=a3filterBuiltInMaskFieldValue, a3filterPolicyEntry=a3filterPolicyEntry, a3filterBuiltInMaskEntry=a3filterBuiltInMaskEntry, a3filterUserMaskTable=a3filterUserMaskTable, a3filterBridgeSelect=a3filterBridgeSelect, a3filterUserMaskOperator=a3filterUserMaskOperator, a3filterPolicyStatus=a3filterPolicyStatus, a3ComFilterCtl=a3ComFilterCtl, a3filterPolicyIndex=a3filterPolicyIndex, a3filterUserGrpEntry=a3filterUserGrpEntry, a3filterUserGrpStatus=a3filterUserGrpStatus, a3filterDefaultAction=a3filterDefaultAction, a3filterPolicyPorts1=a3filterPolicyPorts1, a3filterUserMaskStatus=a3filterUserMaskStatus, a3filterBuiltInMaskIndex=a3filterBuiltInMaskIndex, a3filterPolicyTable=a3filterPolicyTable, a3filterDecSelect=a3filterDecSelect, a3filterPolicyName=a3filterPolicyName, a3filterPolicyAction=a3filterPolicyAction, a3filterPolicyX25ProfId=a3filterPolicyX25ProfId, a3filterBuiltInMaskTable=a3filterBuiltInMaskTable, a3filterPolicyMask3=a3filterPolicyMask3, a3filterUserMaskMatchValue2=a3filterUserMaskMatchValue2)
|
# Copyright 2016 PerfKitBenchmarker Authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
FLAVORS = [
{
'name': 'Micro',
'ram': 1024,
'cores': 1
},
{
'name': 'Small',
'ram': 2048,
'cores': 1
},
{
'name': 'Medium',
'ram': 4096,
'cores': 2
},
{
'name': 'Large',
'ram': 7168,
'cores': 4
},
{
'name': 'ExtraLarge',
'ram': 14336,
'cores': 8
},
{
'name': 'MemoryIntensiveSmall',
'ram': 16384,
'cores': 2
},
{
'name': 'MemoryIntensiveMedium',
'ram': 28672,
'cores': 2
},
{
'name': 'MemoryIntensiveLarge',
'ram': 57344,
'cores': 2
},
]
|
class Solution(object):
def productExceptSelf(self, nums):
"""
:type nums: List[int]
:rtype: List[int]
"""
res = []
p = 1
for i in range(len(nums)):
res.append(p)
p *= nums[i]
p = 1
for i in range(len(nums) - 1, -1, -1):
res[i] *= p
p *= nums[i]
return res
def test_product_except_self():
assert [24, 12, 8, 6] == Solution().productExceptSelf([1, 2, 3, 4])
|
print('+$'* 13)
print('\033[1;31m+ Analisador de crédito +\033[m')
print('+$'* 13)
valor_casa = float(input('\nQual o valor da casa que você quer comprar? R$'))
salario = float(input('Qual o valor do seu salário? R$'))
anos = int(input('Em quantos anos você quer pagar? '))
meses = anos * 12
parcela = valor_casa / meses
if parcela > (salario * 30 / 100):
print('\nSeu financiamento foi NEGADO!\nO valor da parcela seria R${:.2f}\nEste valor supera 30% do seu salário'.format(parcela))
else:
print('\nSeu financioamento foi APROVADO!\nO valor da parcela será R${:.2f}'.format(parcela))
|
__all__ = [
'ALPHABET',
'DIGITS',
'LOWERCASE',
'UPPERCASE',
]
DIGITS = '0123456789'
ALPHABET = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ'
LOWERCASE = 'abcdefghijklmnopqrstuvwxyz'
UPPERCASE = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
|
BOT_NAME = 'councilman_scraper'
SPIDER_MODULES = ['councilman.spiders.spider']
NEWSPIDER_MODULE = 'councilman.spiders'
LOG_ENABLED = True
ITEM_PIPELINES = {
'councilman.pipelines.CouncilmanPipeline': 300,
}
|
def string_contains(string: str, substr: str) -> bool:
"""Determines whether substring is part of string or not
>>> string_contains("hello", "he")
True
>>> string_contains("hello", "wo")
False
"""
return substr in string
def string_begins_with(string: str, substr: str) -> bool:
"""Determines whether string starts with substring or not
>>> string_begins_with("hello", "he")
True
>>> string_begins_with("hello", "wo")
False
"""
return string.startswith(substr)
|
def finder(data): ## define the finder argument (data)
return finder_rec(data, len(data)-1) ## return the answer
def finder_rec(data, x): ## define the finder_recursive argument as data and x
if x == 0: ## compares if x is equal to 0, then true
return data[x] ## return the answer
v1 = data[x] ## v1 equals the highest value in the range
v2 = finder_rec(data, x-1) ## v2 equals the lowest value in the range
if v1 > v2: ## if v1 is greater then v2
return v1 ## then return v1
else:
return v2 ## if not, return v2
print(finder([0, -247, 341, 1001, 741, 22])) ## print the answer from the data ranged passed in |
#coding: utf-8
def merge_sort(array):
if len(array) < 2:
return;
mid = len(array) / 2;
left = array[:mid];
right = array[mid:];
leftI = 0;
rightI = 0;
arrayI = 0;
while leftI < len(left) and rightI < len(right):
if left[leftI] < right[rightI]:
array[arrayI] = left[leftI];
leftI += 1;
else:
array[arrayI] = right[rightI];
rightI += 1;
arrayI += 1;
while leftI < len(left):
array[arrayI] = left[leftI];
leftI += 1;
arrayI += 1;
while rightI < len(right):
array[arrayI] = right[rightI];
rightI += 1;
arrayI += 1;
|
class ClientConfig(object):
PUBLIC_KEY = 'coGBxfv6BmRyw3TuucG2Awds5gRlk5fwxiDwAIIQ5v4'
APP_NAME = 'frumentarii'
COMPANY_NAME = 'JackEaston'
HTTP_TIMEOUT = 30
MAX_DOWNLOAD_RETRIES = 3
UPDATE_URLS = ['https://github.com/perseusnova/Frumentarii-Python']
|
# Tai Sakuma <tai.sakuma@gmail.com>
##__________________________________________________________________||
class ProgressReport(object):
"""A progress report
Args:
name (str): the name of the task. if ``taskid`` is ``None``, used to identify the task
done (int): the number of the iterations done so far
total (int): the total iterations to be done
taskid (immutable, optional): if given, used to identify the task. useful if multiple tasks have the same name
"""
def __init__(self, name, done, total, taskid = None):
self.taskid = taskid if taskid is not None else name
self.name = name
self.done = done
self.total = total
self.misc_str = ""
def __repr__(self):
name_value_pairs = (
('taskid', self.taskid),
('name', self.name),
('done', self.done),
('total', self.total),
)
return '{}({})'.format(
self.__class__.__name__,
', '.join(['{} = {!r}'.format(n, v) for n, v in name_value_pairs]),
)
def last(self):
return self.done >= self.total
def first(self):
return self.done == 0
##__________________________________________________________________||
|
_base_ = [
'../_base_/datasets/waymo_cars_and_peds.py',
'../_base_/models/pointnet2_seg.py',
'../_base_/schedules/cyclic_20e.py', '../_base_/default_runtime.py'
]
# data settings
data = dict(samples_per_gpu=16)
evaluation = dict(interval=50)
# runtime settings
checkpoint_config = dict(interval=50)
# PointNet2-MSG needs longer training time than PointNet2-SSG
runner = dict(type='EpochBasedRunner', max_epochs=500)
#resume_from = 'work_dirs/pointnet2_waymo_cars_and_peds_gap01/latest.pth'
shared_args=dict(
gap=0.1,
train_interval=97,
maximum_samples=dict(Car=1000, Pedestrian=1000),
)
data = dict(
train=dict(
load_interval=1,
**shared_args),
val=dict(
load_interval=97,
**shared_args),
test=dict(
load_interval=97,
**shared_args)
)
|
# -*- coding: utf-8 -*-
'''
Created on 20.12.2012
@author: 802300
'''
c_cycle_dark = (32,88,103)
c_cycle = (49,133,155)
c_cycle_light = (139,202,218)
c_cycle_alt = (146,208,80)
c_due = (192,0,0)
c_due_later = (255,86,30)
c_sub = (255,238,87)
c_sub_alt = (255,192,0)
c_sub2 = (66,191,89)
c_vorlauf = c_sub_alt
c_submission = c_cycle_dark
c_mahn = c_cycle_alt
c_mahn_light = (179,222,131)
c_mahn_extra_light = (217,237,188) |
with open("program") as file:
initialProgram = file.readlines()[0]
initialProgram = initialProgram.split(",")
def executeProgram(program):
pointer = 0
result = 0
while 1:
arg1 = program[pointer+1]
arg2 = program[pointer+2]
if program[pointer] == 1:
result = program[arg1]+program[arg2]
elif program[pointer] == 2:
result = program[arg1]*program[arg2]
elif program[pointer] == 99:
break
else:
print("ERROR: bad opcode ("+str(program[pointer])+") at position: "+str(pointer))
program[program[pointer+3]] = result
pointer += 4
return program[0]
for noun in range(99):
for verb in range(99):
program=list(map(int, initialProgram))
program[1]=noun
program[2]=verb
if executeProgram(program) == 19690720:
print(noun*100+verb)
break |
# Решение с използването на dict comprehension:
products = input().split()
dict_products = {products[i]: int(products[i+1]) for i in range(0, len(products), 2)}
print(dict_products)
# Нормално решение с използването на for цикъл
# products = input().split()
#
# dict_products = {}
# key_index = 0
#
# # for i in range(len(products)//2):
# for i in range(0, len(products), 2):
# dict_products[products[key_index]] = int(products[key_index+1])
# key_index += 2
#
# print(dict_products) |
#######################################
#########Variaveis de mails############
#######################################
ADMIN_MAIL = "admin@mtgchance.com"
SITE_NAME = "MTG CHANCE"
SITE_LOCATION = "www.mtgchance.com"
#######################################
##########PAISES ADMITIDOS#############
#######################################
ALLOWED_COUNTRIES = ['Portugal','Brasil']
#######################################
##########VALOR DAS CARTAS#############
#######################################
VALUE_OF_COMMON_CARD = 2
VALUE_OF_UNCOMMON_CARD = 8
VALUE_OF_RARE_CARD = 30
#######################################
#######BY IMPORTANCE OF CARDS##########
#######################################
NUMBER_CARDS_TO_TAKE_OUT_BY_IMPORTANCE = 3
NUMBER_OF_COMMON_UNCOMMON_TO_TAKE = 6
NUMBER_OF_RARE_TO_TAKE = 5
NUMBER_OF_MYTIC_TO_TAKE = 1
#######################################
#######MOEDA USADA PELO SITE###########
#######################################
MOEDA_DA_PAGINA = "Créditos"
# 1 credito = euros....
VALOR_MOEDA_DO_SITE_PORTUGAL = "0.01 € = 1 crédito"
VALOR_MOEDA_DO_SITE_BRASIL = "0.03 Real = 1 crédito"
MULTIPLICADOR_CREDITOS_PORTUGAL = 0.01
MULTIPLICADOR_CREDITOS_BRASIL = 0.03
#######################################
##########PRECOS DO CORREIO############
#######################################
CORREIO_NORMAL = 3
CORREIO_AZUL = 70
CORREIO_REGISTADO = 250
CORREIO_INTERNACIONAL = 250
CORREIO_INTERNACIONAL_COM_RASTREIO = 450
#######################################
################Custos#################
#######################################
CUSTO_TRANSFERENCIA_ENTRE_USERS = 8
CUSTO_TRANSFERENCIA_ENTRE_USERS_PARA_PARCEIROS = 0
EXCEPCOES_NOS_CUSTOS_DE_TRANSFERENCIAS=['munhanha@gmail.com']
#######################################
#############Vencedores################
#######################################
WINNERS_ACTIVE = False
WINNER_VALUE = 25
NUMBER_OCCURRENCES = 50
#######################################
#########CLEAN CLICKS RARIDADE#########
#######################################
RESET_CLICKS_COMMON = 150
RESET_CLICKS_UNCOMMON = 150
RESET_CLICKS_RARE = 100
#######################################
########USER SEARCH NUMBER#############
#######################################
USER_SEARCH_COUNT = 20
USER_SEARCH_COUNT_WITH_COLOUR_EDITION = 100
#######################################
#######MAX NUMBER CARDS PER USER#######
#######################################
MAX_NUMBER_CARDS_PER_USER = 4
#######################################
#Allowed colours for user card search##
#######################################
ALLOWED_COLOURS_USER_CARD_SEARCH = ['','B','W','R','G','U','Lnd','Gld','Art']
|
"""
This scripts shows how to train a POS tagger using trapper. However,
intentionally, the dependency injection mechanism is not used, instead the
objects are instantiated directly from concrete classes suitable for the job.
Although we recommended config file based training using the trapper CLI instead,
you can use this file to create a custom training script for your needs.
"""
|
"""
Contains configuration data for interacting with the source_data folder.
These are hardcoded here as this is meant to be a dumping
ground. Source_data is not actually user configurable.
For customized data loading, use mhwdata.io directly.
"""
supported_ranks = ('LR', 'HR')
"A mapping of all translations"
all_languages = {
'en': "English",
'ja': "Japanese"
}
"A list of languages that require complete translations. Used in validation"
required_languages = ('en',)
"A list of languages that can be exported"
supported_languages = ('en', 'ja')
"Languages that are designated as potentially incomplete"
incomplete_languages = ('ja',)
"List of all possible armor parts"
armor_parts = ('head', 'chest', 'arms', 'waist', 'legs')
"Maximum number of items in a recipe"
max_recipe_item_count = 4
"Maximum number of skills in an armor piece/weapon"
max_skill_count = 2
"A list of all melee weapon types"
weapon_types_melee = ('great-sword', 'long-sword', 'sword-and-shield', 'dual-blades',
'hammer', 'hunting-horn', 'lance', 'gunlance', 'switch-axe', 'charge-blade',
'insect-glaive')
"A list of all ranged weapon types"
weapon_types_ranged = ('light-bowgun', 'heavy-bowgun', 'bow')
"A list of all weapon types"
weapon_types = (*weapon_types_melee, *weapon_types_ranged)
"Valid possible kinsect boosts"
valid_kinsects = ('sever', 'blunt', 'speed', 'element', 'health', 'stamina')
"Valid possible phial types (switchaxe and chargeblade)"
valid_phials = ('power', 'power element', 'dragon', 'poison', 'paralysis', 'exhaust', 'impact')
"Valid gunlance shelling types"
valid_shellings = ('normal', 'wide', 'long')
icon_colors = [
"Gray", "White", "Lime", "Green", "Cyan", "Blue", "Violet", "Orange",
"Pink", "Red", "DarkRed", "LightBeige", "Beige", "DarkBeige", "Yellow",
"Gold", "DarkGreen", "DarkPurple"
] |
def distance(strand1, strand2):
count = 0
for x, y in zip(strand1, strand2):
if x != y:
count += 1
return count
|
"""
NOTE: This is a future consensus test not yet ready to merge
Let the work below be a point of reference for testing
import os
import pathlib
from mapmerge.constants import FREE, OCCUPIED, UNKNOWN
from mapmerge.merge_utils import augment_map, combine_aligned_maps, detect_fault, load_mercer_map, acceptance_index, pad_maps, resize_map
from mapmerge.service import mapmerge_pipeline
from mapmerge.keypoint_merge import sift_mapmerge, orb_mapmerge
from mapmerge.hough_merge import hough_mapmerge
from mapmerge.ros_utils import pgm_to_numpy
import numpy as np
import matplotlib.pyplot as plt
TEST_DIR = pathlib.Path(__file__).parent.absolute()
# load 'difficult' map with curved walls and intricate details
PATH_TO_INTEL_TEST_MAP = os.path.join(TEST_DIR, 'test_data', 'intel.txt')
INTEL_TEST_MAP = load_mercer_map(PATH_TO_INTEL_TEST_MAP)
def generate_n_maps(n=4, map=INTEL_TEST_MAP):
robot_maps = [INTEL_TEST_MAP]
x_size, y_size = int(map.shape[0]//(n/2)), int(map.shape[1]//(n/2))
print(x_size)
for i in range(n-1):
map_aug, _ = augment_map(map, shift_limit=0, rotate_limit=5)
# mask out quadrants of the map
robot_maps.append(map_aug)
# mask out quadrants of the map
robot_maps[0][:x_size, :y_size] = UNKNOWN
robot_maps[1][:x_size, y_size::] = UNKNOWN
robot_maps[2][x_size::, :y_size] = UNKNOWN
robot_maps[3][x_size::, y_size::] = UNKNOWN
fig, axes = plt.subplots(1, 5)
axes[0].imshow(map, cmap="gray")
axes[1].imshow(robot_maps[0], cmap="gray")
axes[2].imshow(robot_maps[1], cmap="gray")
axes[3].imshow(robot_maps[2], cmap="gray")
axes[4].imshow(robot_maps[3], cmap="gray")
plt.show()
if __name__ == "__main__":
generate_n_maps()
""" |
class Mapper():
prg_banks = 0
chr_banks = 0
def __init__(self, prg_banks, chr_banks): pass
def cpuMapRead(self, addr): pass
def cpuMapWrite(self, addr): pass
def ppuMapRead(self, addr): pass
def ppuMapWrite(self, addr): pass
def reset(self): pass
|
HOST = "127.0.0.1"
PORT = 1337
COMMAND_START = "docker start minecraft-server"
COMMAND_STOP = "docker stop minecraft-server"
MCSTATUS_COMMAND = "docker exec minecraft-server mcstatus localhost status"
# Time to wait for the port to become available
STARTUP_DELAY = 1
# Time to wait for the player to join
STARTUP_TIMER = 90
# Time to wait for the server being empty
SHUTDOWN_TIMER = 300
# Change the motd to the start time
EDIT_MOTD = False
|
real = float(input('Valor a ser convertido: R$'))
dolar = real / 5.26
euro = real / 6.00
iene = real / 0.046
print('########## CONVERSOR ##########')
print('Com R${} você pode ter U${:.2f}'.format(real, dolar))
print('Com R${} você pode ter €{:.2f}'.format(real, euro))
print('Com R${} você pode ter ¥{:.2f}'.format(real, iene))
|
def Calc(number):
if number%2 == 0:
print('number / 2')
return number / 2
elif number%2 == 1:
print('3 * ' + str(number) + ' + 1')
return 3*number+1
print('this is a Collatz array program. Type exit to exit.')
quitFlag = '' #用户是否要继续计算的标记
conExit = '' #退出程序的标记
while conExit!='exit':
print("Do you want to Continue? yes or no")
quitFlag = input()
if quitFlag == 'yes':
try:
print('Input an INT number!')
Num = int(input())
while True:
Num = Calc(Num)
if Num == 1:
print(Num)
break
except ValueError:
print('Please input INT number')
elif quitFlag == 'no':
print('Program Exited.')
conExit = 'exit' |
# FIRST CLASS FUNCTIONS:
# a programming language is said to have first class functions if it treats functions as first class citizens.
# FIRST CLASS CITIZEN (PROGRAMMING):
# a first class citizen (sometimes called first class object) in a programming language is an entity
# which supports all the operations generally available to other entities. These operations typically
# include being passed as an arguement, returned from a function and assigned to a variable.
# it actually mean we should be able to treat functions just like any other object or variable.
# ASSIGNED A FUNCTION TO A VARIABLE:
# what does it mean to assign a function to a variable?
# this doen't mean that we are assigning the result of the function.
def square(x):
return x**2
f=square(5)
print(square)
print(f)
# but we can remove those parenthesis and treat "f" as our square function. Because parenthesis means execute the function.
# we dont want to execute it, we want to "f" equal to square function.
f=square
print(square)
print(f)
# now we can use "f" just like our square function.
print(f(5))
# WHAT IS A HIGHER ORDER FUNCTION?
# if a function accepts other functions as arguement or return function as their results that is called a "Higher Order Function".
# A FUNCTION BEING PASSED BY AN ARGUEMENT:
# very common scenario of this type function is "map" function.
# lets create a map function
def my_map(func,arg_list):
r_list=[]
for i in arg_list:
r_list.append(func(i))
return r_list
def cube(x):
return x**3
cubes=my_map(cube,[1,2,3,4,5,6,7]) # here we don't use parenthesis after cube as we are not executing it.
print(cubes)
# default map function
cubes2=list(map(cube,[1,2,3,4,5,6,7]))
print(cubes2)
# RETURN A FUNCTION FROM A FUNCTION:
# this is most complicated and confusing among previous examples.
def logger(msg):
def log_message():
print("log:",msg)
return log_message
log_hi=logger("hi")
log_hi()# it has remembered our initial message that we have passed in the initial logger function.
# why this first class functions are useful?
# lets see some practical examples.
def html_tag(tag):
def wrap_text(msg):
print("<{0}>{1}</{0}>".format(tag,msg))
return wrap_text
print_h1=html_tag("h1")
print_h1("Test Headline")# it has print our wrap text function and has remembered initial tag.
print_h1("Another Headline")
print_p=html_tag("p")
print_p("Test Paragraph")
# we can also use this type of functions for logging and python decorator.
|
'''
Crie um módulo chamado MOEDA.PY que tenha as funções incorporadas AUMENTAR(), DIMINUIR(), DOBRO() e METADE().
Faça também um programa que importe esse módulo e use algumas dessas funções.
'''
# Esse módulo foi criado para o exercício 107 e copiado para o exercício 108. Neste exercício irei acrescentar uma DEF
# que coloca o símbolo de moeda no caso o Real(R$) nos dados inseridos pelo usuário. Também dará opção do usuário
# colocar a moeda desejada.
# Foram colocados as docs strings em todas as DEFs
def aumentar(preço, taxa=0):
'''
:param preço: É o valor do produto inserido pelo Cliente
:param taxa: É o percentual de juros
:return: Retorna a soma do valor do produto com a taxa
'''
resultado = preço + (preço * taxa/100)
return resultado
def diminuir(preço, taxa=0):
'''
:param preço:É o valor do produto inserido pelo Cliente
:param taxa: É o percentual de jros
:return: Retorna a subtração do valor do produto com a taxa
'''
resultado = preço - (preço * taxa/100)
return resultado
def dobro(preço):
'''
:param preço: É o valor do produto inserido pelo Cliente
:return: Retorna o dobro do valor inserido
'''
resultado = preço * 2
return resultado
def metade(preço):
'''
:param preço: É o valor do produto inserido pelo Cliente
:return: Retorna a metade do valor inserido
'''
resultado = preço / 2
return resultado
def real(preço=0, símbolo='R$'):
'''
:param preço: É o valor do produto inserido pelo Cliente
:param símbolo: É o brasão de moeda, no caso é o R$
:return: Retorna o valor inserido pelo cliente, formatado como moeda
'''
return f'{símbolo} {preço:0.2f}'. replace('.', ',')
# A palavra Replace significa 'Substituição'. Esse comando fará com que os pontos inerente da função float, sejam
# substituídos por vírgulas. |
#
# PySNMP MIB module BAY-STACK-UNICAST-STORM-CONTROL-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/BAY-STACK-UNICAST-STORM-CONTROL-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 17:19:32 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
Integer, OctetString, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "Integer", "OctetString", "ObjectIdentifier")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ValueSizeConstraint, ValueRangeConstraint, SingleValueConstraint, ConstraintsUnion, ConstraintsIntersection = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "ValueRangeConstraint", "SingleValueConstraint", "ConstraintsUnion", "ConstraintsIntersection")
InterfaceIndex, ifIndex = mibBuilder.importSymbols("IF-MIB", "InterfaceIndex", "ifIndex")
ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup")
MibScalar, MibTable, MibTableRow, MibTableColumn, iso, Integer32, Gauge32, Bits, Unsigned32, ModuleIdentity, ObjectIdentity, IpAddress, NotificationType, Counter32, TimeTicks, MibIdentifier, Counter64 = mibBuilder.importSymbols("SNMPv2-SMI", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "iso", "Integer32", "Gauge32", "Bits", "Unsigned32", "ModuleIdentity", "ObjectIdentity", "IpAddress", "NotificationType", "Counter32", "TimeTicks", "MibIdentifier", "Counter64")
DisplayString, TextualConvention, TimeInterval, TruthValue = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention", "TimeInterval", "TruthValue")
bayStackMibs, = mibBuilder.importSymbols("SYNOPTICS-ROOT-MIB", "bayStackMibs")
bayStackUnicastStormControlMib = ModuleIdentity((1, 3, 6, 1, 4, 1, 45, 5, 22))
bayStackUnicastStormControlMib.setRevisions(('2007-06-07 00:00',))
if mibBuilder.loadTexts: bayStackUnicastStormControlMib.setLastUpdated('200706070000Z')
if mibBuilder.loadTexts: bayStackUnicastStormControlMib.setOrganization('Nortel Ltd.')
bsUnicastStormControlNotifications = MibIdentifier((1, 3, 6, 1, 4, 1, 45, 5, 22, 0))
bsUnicastStormControlObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 45, 5, 22, 1))
bsUnicastStormControlScalars = MibIdentifier((1, 3, 6, 1, 4, 1, 45, 5, 22, 1, 1))
bsUnicastStormControlEnabled = MibScalar((1, 3, 6, 1, 4, 1, 45, 5, 22, 1, 1, 1), TruthValue()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: bsUnicastStormControlEnabled.setStatus('current')
bsUnicastStormControlLowWatermark = MibScalar((1, 3, 6, 1, 4, 1, 45, 5, 22, 1, 1, 2), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(10, 100000000)).clone(200)).setUnits('packets per second').setMaxAccess("readwrite")
if mibBuilder.loadTexts: bsUnicastStormControlLowWatermark.setStatus('current')
bsUnicastStormControlHighWatermark = MibScalar((1, 3, 6, 1, 4, 1, 45, 5, 22, 1, 1, 3), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(10, 100000000)).clone(500)).setUnits('packets per second').setMaxAccess("readwrite")
if mibBuilder.loadTexts: bsUnicastStormControlHighWatermark.setStatus('current')
bsUnicastStormControlPollInterval = MibScalar((1, 3, 6, 1, 4, 1, 45, 5, 22, 1, 1, 4), TimeInterval().subtype(subtypeSpec=ValueRangeConstraint(500, 30000)).clone(3000)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: bsUnicastStormControlPollInterval.setStatus('current')
bsUnicastStormControlTrapInterval = MibScalar((1, 3, 6, 1, 4, 1, 45, 5, 22, 1, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 1000)).clone(5)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: bsUnicastStormControlTrapInterval.setStatus('current')
bsUnicastStormControlPollValue = MibScalar((1, 3, 6, 1, 4, 1, 45, 5, 22, 1, 1, 6), Unsigned32()).setMaxAccess("accessiblefornotify")
if mibBuilder.loadTexts: bsUnicastStormControlPollValue.setStatus('current')
bsUnicastStormControlIfTable = MibTable((1, 3, 6, 1, 4, 1, 45, 5, 22, 1, 2), )
if mibBuilder.loadTexts: bsUnicastStormControlIfTable.setStatus('current')
bsUnicastStormControlIfEntry = MibTableRow((1, 3, 6, 1, 4, 1, 45, 5, 22, 1, 2, 1), ).setIndexNames((0, "BAY-STACK-UNICAST-STORM-CONTROL-MIB", "bsUnicastStormControlIfIndex"))
if mibBuilder.loadTexts: bsUnicastStormControlIfEntry.setStatus('current')
bsUnicastStormControlIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 45, 5, 22, 1, 2, 1, 1), InterfaceIndex())
if mibBuilder.loadTexts: bsUnicastStormControlIfIndex.setStatus('current')
bsUnicastStormControlIfEnabled = MibTableColumn((1, 3, 6, 1, 4, 1, 45, 5, 22, 1, 2, 1, 2), TruthValue()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: bsUnicastStormControlIfEnabled.setStatus('current')
bsUnicastStormControlBelowLowWatermark = NotificationType((1, 3, 6, 1, 4, 1, 45, 5, 22, 0, 1)).setObjects(("IF-MIB", "ifIndex"), ("BAY-STACK-UNICAST-STORM-CONTROL-MIB", "bsUnicastStormControlPollValue"), ("BAY-STACK-UNICAST-STORM-CONTROL-MIB", "bsUnicastStormControlLowWatermark"))
if mibBuilder.loadTexts: bsUnicastStormControlBelowLowWatermark.setStatus('current')
bsUnicastStormControlAboveHighWatermark = NotificationType((1, 3, 6, 1, 4, 1, 45, 5, 22, 0, 2)).setObjects(("IF-MIB", "ifIndex"), ("BAY-STACK-UNICAST-STORM-CONTROL-MIB", "bsUnicastStormControlPollValue"), ("BAY-STACK-UNICAST-STORM-CONTROL-MIB", "bsUnicastStormControlHighWatermark"))
if mibBuilder.loadTexts: bsUnicastStormControlAboveHighWatermark.setStatus('current')
mibBuilder.exportSymbols("BAY-STACK-UNICAST-STORM-CONTROL-MIB", bsUnicastStormControlAboveHighWatermark=bsUnicastStormControlAboveHighWatermark, bsUnicastStormControlNotifications=bsUnicastStormControlNotifications, bsUnicastStormControlIfTable=bsUnicastStormControlIfTable, bsUnicastStormControlTrapInterval=bsUnicastStormControlTrapInterval, bsUnicastStormControlEnabled=bsUnicastStormControlEnabled, bsUnicastStormControlLowWatermark=bsUnicastStormControlLowWatermark, bsUnicastStormControlIfIndex=bsUnicastStormControlIfIndex, bsUnicastStormControlIfEnabled=bsUnicastStormControlIfEnabled, bsUnicastStormControlScalars=bsUnicastStormControlScalars, PYSNMP_MODULE_ID=bayStackUnicastStormControlMib, bsUnicastStormControlPollValue=bsUnicastStormControlPollValue, bsUnicastStormControlPollInterval=bsUnicastStormControlPollInterval, bsUnicastStormControlIfEntry=bsUnicastStormControlIfEntry, bsUnicastStormControlObjects=bsUnicastStormControlObjects, bsUnicastStormControlHighWatermark=bsUnicastStormControlHighWatermark, bsUnicastStormControlBelowLowWatermark=bsUnicastStormControlBelowLowWatermark, bayStackUnicastStormControlMib=bayStackUnicastStormControlMib)
|
"""
Computer Architecture - Day 4
"""
# === Stack frames === #
# Stack grows downward
# 701:
#
# 700: # return point 1 |
# 699: a = 2 | main()'s stack frame
# 698: b = ?? |
#
# 697: # return point 2 |
# 696: x = 2 |
# 695: y = 7 | mult2()'s stack frame
# 694: z =14 |
#
# When you call, return address gets pushed ont the stack
# When you return, return addr gets popped off the stack and stored in PC
# def mult2(x, y):
# z = x * y
# return z
# def main():
# a = 2
# b = mult2(a, 7)
# # return point 2
# print(b) # 14
# return
# main()
# # return point 2
# print("All done")
# === Recursive example === #
# 701: # return point 1
# 700: n = 4
#
# 699: # return point 2
# 699: n = 3
#
# 697: # return point 2
# 696: n = 2
#
# 695: # return point 2
# 694: n = 1
#
# 693: # return point 2
# 692: n = 0
def count(n):
if n == 0:
return
print(n)
count(n - 1)
# return point 2
return
count(4)
# return point 1
# tail call optimization
|
class SQLitePostProcessor:
"""Post processor classes are responsable for modifying the result after a query.
Post Processors are called after the connection calls the database in the
Query Builder but before the result is returned in that builder method.
We can use this oppurtunity to get things like the inserted ID.
For the SQLite Post Processor we have an attribute on the connection class we can use to fetch the ID.
"""
def process_insert_get_id(self, builder, results, id_key="id"):
"""Process the results from the query to the database.
Args:
builder (masoniteorm.builder.QueryBuilder): The query builder class
results (dict): The result from an insert query or the creates from the query builder.
This is usually a dictionary.
id_key (string): The key to set the primary key to. This is usually the primary key of the table.
Returns:
dictionary: Should return the modified dictionary.
"""
results.update({id_key: builder.get_connection().get_cursor().lastrowid})
return results
|
peso = float(input('Qual é o seu peso: (KG) '))
altura = float(input('Qual é a sua altura: (m)'))
imc = peso / (altura ** 2)
if imc < 18.5:
print('Abaixo do peso.')
elif imc < 25:
print('Peso Ideal.')
elif imc < 30:
print('Sobrepeso')
elif imc < 40:
print('obesidade')
else:
print('Obesidade mórbida.') |
with open("../input/day10.txt") as f:
lines = [x.strip() for x in f.readlines()]
score_p1 = {
')': 3,
']': 57,
'}': 1197,
'>': 25137
}
score_p2 = {
')': 1,
']': 2,
'}': 3,
'>': 4
}
rev = {
')': '(',
'}': '{',
']': '[',
'>': '<'
}
rev_left = { y: x for (x, y) in rev.items() }
left = set(rev.values())
right = set(rev.keys())
def solve():
p1_total = 0
p2_scores = []
for line in lines:
q = []
for char in line:
if char in left:
q.append(char)
elif char in right:
if q[-1] != rev[char]:
p1_total += score_p1[char]
break
else:
q.pop()
else:
line_score = 0
while q:
c = q.pop()
line_score *= 5
line_score += score_p2[rev_left[c]]
p2_scores.append(line_score)
p2_scores.sort()
return p1_total, p2_scores[len(p2_scores) // 2]
if __name__ == "__main__":
p1, p2 = solve()
print("p1: ", p1)
print("p2: ", p2)
|
def new_user(active=False, admin=False):
print(active)
print(admin)
config = {"active": False,
"admin": True}
new_user(config.get('active'),config.get('admin'))
new_user(**config)
|
"""
ID: groundsada
LANG: PYTHON3
TASK: dualpal
"""
fin = open ('dualpal.in', 'r')
fout = open ('dualpal.out', 'w')
def decToBase(num,base):
result = ""
x = num
while x > 1:
remainder = x % base
if remainder < 10:
result += str(remainder)
else:
result += chr(64 + remainder - 9)
x = x // base
if not result or x == 1:
result += str(x)
return result[::-1]
n, s = map(int, fin.readline().split())
count = 0
while (count < n):
s += 1
dual = 0
for i in range(2,11):
if decToBase(s, i) == decToBase(s, i)[::-1]:
dual +=1
if dual == 2:
fout.write(str(s) + "\n")
count += 1
break
fout.close() |
{
"cells": [
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-22 06:46:14', '0']\n",
"['2018-11-22 06:52:11', '0']\n",
"['2018-11-22 06:52:27', '1']\n",
"['2018-11-22 06:53:01', '2']\n",
"['2018-11-22 06:53:50', '2']\n",
"['2018-11-22 06:54:42', '2']\n",
"['2018-11-22 06:54:53', '2']\n",
"['2018-11-22 06:55:17', '3']\n",
"['2018-11-22 06:56:21', '3']\n",
"['2018-11-22 06:57:57', '3']\n",
"['2018-11-22 06:58:11', '3']\n",
"['2018-11-22 06:58:42', '4']\n",
"['2018-11-22 06:59:38', '4']\n",
"['2018-11-22 06:59:46', '5']\n",
"['2018-11-22 07:00:58', '5']\n",
"['2018-11-22 07:01:51', '5']\n",
"['2018-11-22 07:03:35', '7']\n",
"['2018-11-22 07:05:37', '9']\n",
"['2018-11-22 07:06:31', '10']\n",
"['2018-11-22 07:07:18', '14']\n",
"['2018-11-22 07:07:59', '15']\n",
"['2018-11-22 07:08:56', '17']\n",
"['2018-11-22 07:09:53', '17']\n",
"['2018-11-22 07:10:19', '18']\n",
"['2018-11-22 07:11:18', '19']\n",
"['2018-11-22 07:12:54', '19']\n",
"['2018-11-22 07:13:32', '19']\n",
"['2018-11-22 07:14:10', '20']\n",
"['2018-11-22 07:15:47', '20']\n",
"['2018-11-22 07:16:18', '20']\n",
"['2018-11-22 07:16:45', '21']\n",
"['2018-11-22 07:17:30', '21']\n",
"['2018-11-22 07:18:59', '21']\n",
"['2018-11-22 07:19:20', '21']\n",
"['2018-11-22 07:20:44', '21']\n",
"['2018-11-22 07:21:25', '21']\n",
"['2018-11-22 07:22:26', '21']\n",
"['2018-11-22 07:23:05', '21']\n",
"['2018-11-22 07:26:14', '8']\n",
"['2018-11-22 07:27:21', '0']\n",
"['2018-11-22 07:29:22', '2']\n",
"['2018-11-22 07:31:24', '4']\n",
"['2018-11-22 07:33:25', '5']\n",
"['2018-11-22 07:35:27', '5']\n",
"['2018-11-22 07:37:29', '5']\n",
"['2018-11-22 07:39:30', '5']\n",
"['2018-11-22 07:41:32', '5']\n",
"['2018-11-22 07:43:34', '7']\n",
"['2018-11-22 07:45:35', '8']\n",
"['2018-11-22 07:47:37', '9']\n",
"['2018-11-22 07:49:39', '11']\n",
"['2018-11-22 07:51:40', '13']\n",
"['2018-11-22 07:53:42', '16']\n",
"['2018-11-22 07:55:44', '15']\n",
"['2018-11-22 07:57:45', '14']\n",
"['2018-11-22 07:59:47', '14']\n",
"['2018-11-22 08:01:49', '15']\n",
"['2018-11-22 08:03:50', '16']\n",
"['2018-11-22 08:05:52', '17']\n",
"['2018-11-22 08:07:54', '16']\n",
"['2018-11-22 08:09:55', '14']\n",
"['2018-11-22 08:11:57', '14']\n",
"['2018-11-22 08:13:59', '14']\n",
"['2018-11-22 08:16:00', '12']\n",
"['2018-11-22 08:18:02', '8']\n",
"['2018-11-22 08:20:04', '11']\n",
"['2018-11-22 08:22:05', '11']\n",
"['2018-11-22 08:24:07', '11']\n",
"['2018-11-22 08:26:09', '11']\n",
"['2018-11-22 08:28:10', '11']\n",
"['2018-11-22 08:30:12', '11']\n",
"['2018-11-22 08:32:14', '13']\n",
"['2018-11-22 08:34:15', '13']\n",
"['2018-11-22 08:36:17', '10']\n",
"['2018-11-22 08:38:19', '7']\n",
"['2018-11-22 08:40:20', '7']\n",
"['2018-11-22 08:42:22', '7']\n",
"['2018-11-22 08:44:24', '1']\n",
"['2018-11-22 08:46:25', '1']\n",
"['2018-11-22 08:48:27', '0']\n",
"['2018-11-22 08:50:29', '0']\n",
"['2018-11-22 08:52:30', '0']\n",
"['2018-11-22 08:54:32', '0']\n",
"['2018-11-22 08:56:34', '9']\n",
"['2018-11-22 08:57:07', '13']\n",
"['2018-11-22 08:58:14', '15']\n",
"['2018-11-22 08:58:26', '15']\n",
"['2018-11-22 08:59:12', '16']\n",
"['2018-11-22 09:00:25', '23']\n",
"['2018-11-22 09:01:08', '23']\n",
"['2018-11-22 09:01:35', '26']\n",
"['2018-11-22 09:03:52', '26']\n",
"['2018-11-22 09:06:03', '30']\n",
"['2018-11-22 09:06:47', '30']\n",
"['2018-11-22 09:07:29', '40']\n",
"['2018-11-22 09:08:16', '42']\n",
"['2018-11-22 09:09:02', '42']\n",
"['2018-11-22 09:10:45', '42']\n",
"['2018-11-22 09:11:32', '41']\n",
"['2018-11-22 09:14:54', '44']\n",
"['2018-11-22 09:17:06', '45']\n",
"['2018-11-22 09:18:48', '38']\n",
"['2018-11-22 09:20:40', '37']\n",
"['2018-11-22 09:22:07', '32']\n",
"['2018-11-22 09:23:59', '32']\n",
"['2018-11-22 09:25:34', '32']\n",
"['2018-11-22 09:26:39', '28']\n",
"['2018-11-22 09:28:21', '26']\n",
"['2018-11-22 09:31:33', '26']\n",
"['2018-11-22 09:36:44', '25']\n",
"['2018-11-22 09:44:14', '25']\n",
"['2018-11-22 09:45:55', '25']\n",
"['2018-11-22 09:46:46', '25']\n",
"['2018-11-22 09:47:16', '25']\n",
"['2018-11-22 09:47:38', '25']\n",
"['2018-11-22 09:48:19', '21']\n",
"['2018-11-22 09:49:11', '21']\n",
"['2018-11-22 09:50:31', '14']\n",
"['2018-11-22 09:51:36', '14']\n",
"['2018-11-22 09:52:32', '14']\n",
"['2018-11-22 09:53:09', '14']\n",
"['2018-11-22 09:54:49', '14']\n",
"['2018-11-22 09:55:50', '13']\n",
"['2018-11-22 09:56:39', '13']\n",
"['2018-11-22 09:57:14', '12']\n",
"['2018-11-22 10:02:12', '4']\n",
"['2018-11-22 10:03:16', '0']\n",
"['2018-11-22 10:04:28', '6']\n",
"['2018-11-22 10:05:41', '9']\n",
"['2018-11-22 10:06:54', '10']\n",
"['2018-11-22 10:08:07', '10']\n",
"['2018-11-22 10:09:20', '10']\n",
"['2018-11-22 10:10:33', '11']\n",
"['2018-11-22 10:11:46', '12']\n",
"['2018-11-22 10:12:59', '16']\n",
"['2018-11-22 10:14:12', '15']\n",
"['2018-11-22 10:15:25', '15']\n",
"['2018-11-22 10:16:38', '15']\n",
"['2018-11-22 10:17:51', '14']\n",
"['2018-11-22 10:19:04', '12']\n",
"['2018-11-22 10:20:17', '13']\n",
"['2018-11-22 10:21:30', '13']\n",
"['2018-11-22 10:22:43', '12']\n",
"['2018-11-22 10:23:56', '12']\n",
"['2018-11-22 10:25:09', '12']\n",
"['2018-11-22 10:26:22', '9']\n",
"['2018-11-22 10:27:35', '7']\n",
"['2018-11-22 10:28:48', '7']\n",
"['2018-11-22 10:30:01', '7']\n",
"['2018-11-22 10:31:14', '6']\n",
"['2018-11-22 10:32:27', '7']\n",
"['2018-11-22 10:33:40', '7']\n",
"['2018-11-22 10:34:53', '8']\n",
"['2018-11-22 10:36:06', '8']\n",
"['2018-11-22 10:37:19', '7']\n",
"['2018-11-22 10:38:32', '6']\n",
"['2018-11-22 10:39:45', '5']\n",
"['2018-11-22 10:40:58', '4']\n",
"['2018-11-22 10:42:11', '4']\n",
"['2018-11-22 10:43:24', '4']\n",
"['2018-11-22 10:44:37', '4']\n",
"['2018-11-22 10:45:50', '1']\n",
"['2018-11-22 10:47:03', '1']\n",
"['2018-11-22 10:48:16', '1']\n",
"['2018-11-22 10:49:29', '0']\n",
"['2018-11-22 10:50:42', '0']\n",
"['2018-11-22 10:51:55', '0']\n",
"['2018-11-22 10:53:08', '0']\n",
"['2018-11-22 10:54:21', '0']\n",
"['2018-11-22 10:55:34', '0']\n",
"['2018-11-22 10:56:47', '5']\n",
"['2018-11-22 10:57:31', '5']\n",
"['2018-11-22 10:57:54', '5']\n",
"['2018-11-22 10:58:39', '5']\n",
"['2018-11-22 10:59:16', '5']\n",
"['2018-11-22 11:00:04', '6']\n",
"['2018-11-22 11:00:39', '8']\n",
"['2018-11-22 11:01:36', '7']\n",
"['2018-11-22 11:02:57', '8']\n",
"['2018-11-22 11:05:09', '8']\n",
"['2018-11-22 11:05:23', '8']\n",
"['2018-11-22 11:05:55', '11']\n",
"['2018-11-22 11:07:28', '11']\n",
"['2018-11-22 11:07:43', '11']\n",
"['2018-11-22 11:08:39', '13']\n",
"['2018-11-22 11:09:42', '12']\n",
"['2018-11-22 11:15:19', '18']\n",
"['2018-11-22 11:17:50', '19']\n",
"['2018-11-22 11:19:20', '19']\n",
"['2018-11-22 11:20:41', '23']\n",
"['2018-11-22 11:22:39', '22']\n",
"['2018-11-22 11:24:35', '26']\n",
"['2018-11-22 11:25:33', '27']\n",
"['2018-11-22 11:26:34', '26']\n",
"['2018-11-22 11:28:34', '27']\n",
"['2018-11-22 11:29:33', '28']\n",
"['2018-11-22 11:30:37', '30']\n",
"['2018-11-22 11:31:30', '29']\n",
"['2018-11-22 11:34:37', '26']\n",
"['2018-11-22 11:35:55', '26']\n",
"['2018-11-22 11:36:23', '26']\n",
"['2018-11-22 11:36:40', '26']\n",
"['2018-11-22 11:37:32', '26']\n",
"['2018-11-22 11:37:51', '26']\n",
"['2018-11-22 11:39:08', '26']\n",
"['2018-11-22 11:39:47', '26']\n",
"['2018-11-22 11:40:42', '26']\n",
"['2018-11-22 11:41:15', '26']\n",
"['2018-11-22 11:42:52', '26']\n",
"['2018-11-22 11:43:46', '25']\n",
"['2018-11-22 11:44:06', '25']\n",
"['2018-11-22 11:45:14', '25']\n",
"['2018-11-22 11:50:22', '4']\n",
"['2018-11-22 11:52:04', '0']\n",
"['2018-11-22 11:53:35', '2']\n",
"['2018-11-22 11:55:07', '11']\n",
"['2018-11-22 11:56:38', '11']\n",
"['2018-11-22 11:58:10', '11']\n",
"['2018-11-22 11:59:41', '11']\n",
"['2018-11-22 12:01:13', '12']\n",
"['2018-11-22 12:02:45', '12']\n",
"['2018-11-22 12:04:16', '12']\n",
"['2018-11-22 12:05:48', '12']\n",
"['2018-11-22 12:07:19', '13']\n",
"['2018-11-22 12:08:51', '13']\n",
"['2018-11-22 12:10:23', '20']\n",
"['2018-11-22 12:11:54', '21']\n",
"['2018-11-22 12:13:26', '21']\n",
"['2018-11-22 12:14:57', '21']\n",
"['2018-11-22 12:16:29', '22']\n",
"['2018-11-22 12:18:01', '25']\n",
"['2018-11-22 12:19:32', '31']\n",
"['2018-11-22 12:21:04', '25']\n",
"['2018-11-22 12:22:35', '29']\n",
"['2018-11-22 12:24:07', '28']\n",
"['2018-11-22 12:25:39', '32']\n",
"['2018-11-22 12:27:10', '31']\n",
"['2018-11-22 12:28:42', '30']\n",
"['2018-11-22 12:30:13', '15']\n",
"['2018-11-22 12:31:45', '16']\n",
"['2018-11-22 12:33:16', '15']\n",
"['2018-11-22 12:34:48', '12']\n",
"['2018-11-22 12:36:20', '12']\n",
"['2018-11-22 12:37:51', '11']\n",
"['2018-11-22 12:39:23', '10']\n",
"['2018-11-22 12:40:54', '10']\n",
"['2018-11-22 12:42:26', '9']\n",
"['2018-11-22 12:43:58', '9']\n",
"['2018-11-22 12:45:29', '6']\n",
"['2018-11-22 12:47:01', '6']\n",
"['2018-11-22 12:48:32', '6']\n",
"['2018-11-22 12:50:04', '4']\n",
"['2018-11-22 12:51:36', '3']\n",
"['2018-11-22 12:53:07', '2']\n",
"['2018-11-22 12:54:39', '2']\n",
"['2018-11-22 12:56:10', '2']\n",
"['2018-11-22 12:57:42', '0']\n",
"['2018-11-22 12:59:14', '0']\n",
"['2018-11-22 12:59:53', '2']\n",
"['2018-11-22 13:01:11', '2']\n",
"['2018-11-22 13:01:23', '4']\n",
"['2018-11-22 13:02:29', '4']\n",
"['2018-11-22 13:03:55', '8']\n",
"['2018-11-22 13:04:08', '8']\n",
"['2018-11-22 13:04:38', '8']\n",
"['2018-11-22 13:05:25', '8']\n",
"['2018-11-22 13:07:24', '10']\n",
"['2018-11-22 13:08:05', '10']\n",
"['2018-11-22 13:08:39', '11']\n",
"['2018-11-22 13:09:39', '11']\n",
"['2018-11-22 13:09:48', '13']\n",
"['2018-11-22 13:11:10', '11']\n",
"['2018-11-22 13:12:17', '9']\n",
"['2018-11-22 13:15:35', '15']\n",
"['2018-11-22 13:18:19', '17']\n",
"['2018-11-22 13:20:13', '17']\n",
"['2018-11-22 13:22:55', '17']\n",
"['2018-11-22 13:23:08', '21']\n",
"['2018-11-22 13:24:39', '24']\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-22 13:25:35', '25']\n",
"['2018-11-22 13:27:19', '23']\n",
"['2018-11-22 13:28:50', '17']\n",
"['2018-11-22 13:30:00', '19']\n",
"['2018-11-22 13:31:01', '19']\n",
"['2018-11-22 13:31:34', '17']\n",
"['2018-11-22 13:34:09', '15']\n",
"['2018-11-22 13:35:04', '15']\n",
"['2018-11-22 13:35:27', '14']\n",
"['2018-11-22 13:36:04', '13']\n",
"['2018-11-22 13:37:05', '12']\n",
"['2018-11-22 13:37:51', '12']\n",
"['2018-11-22 13:39:07', '12']\n",
"['2018-11-22 13:39:47', '12']\n",
"['2018-11-22 13:40:48', '11']\n",
"['2018-11-22 13:41:22', '10']\n",
"['2018-11-22 13:43:20', '9']\n",
"['2018-11-22 13:44:40', '7']\n",
"['2018-11-22 13:45:22', '7']\n",
"['2018-11-22 13:46:21', '7']\n",
"['2018-11-22 13:50:52', '2']\n",
"['2018-11-22 13:52:03', '0']\n",
"['2018-11-22 13:53:31', '7']\n",
"['2018-11-22 13:55:00', '59']\n",
"['2018-11-22 13:56:29', '64']\n",
"['2018-11-22 13:57:57', '64']\n",
"['2018-11-22 13:59:26', '64']\n",
"['2018-11-22 14:00:55', '79']\n",
"['2018-11-22 14:02:23', '80']\n",
"['2018-11-22 14:03:52', '82']\n",
"['2018-11-22 14:05:21', '83']\n",
"['2018-11-22 14:06:49', '83']\n",
"['2018-11-22 14:08:18', '81']\n",
"['2018-11-22 14:09:47', '82']\n",
"['2018-11-22 14:11:15', '79']\n",
"['2018-11-22 14:12:44', '78']\n",
"['2018-11-22 14:14:13', '77']\n",
"['2018-11-22 14:15:41', '77']\n",
"['2018-11-22 14:17:10', '62']\n",
"['2018-11-22 14:18:39', '63']\n",
"['2018-11-22 14:20:07', '58']\n",
"['2018-11-22 14:21:36', '55']\n",
"['2018-11-22 14:23:05', '58']\n",
"['2018-11-22 14:24:34', '59']\n",
"['2018-11-22 14:26:02', '56']\n",
"['2018-11-22 14:27:31', '52']\n",
"['2018-11-22 14:29:00', '65']\n",
"['2018-11-22 14:30:28', '65']\n",
"['2018-11-22 14:31:57', '60']\n",
"['2018-11-22 14:33:26', '57']\n",
"['2018-11-22 14:34:54', '55']\n",
"['2018-11-22 14:36:23', '54']\n",
"['2018-11-22 14:37:52', '52']\n",
"['2018-11-22 14:39:20', '47']\n",
"['2018-11-22 14:40:49', '47']\n",
"['2018-11-22 14:42:18', '42']\n",
"['2018-11-22 14:43:46', '32']\n",
"['2018-11-22 14:45:15', '30']\n",
"['2018-11-22 14:46:44', '28']\n",
"['2018-11-22 14:48:12', '17']\n",
"['2018-11-22 14:49:41', '15']\n",
"['2018-11-22 14:51:10', '14']\n",
"['2018-11-22 14:52:38', '11']\n",
"['2018-11-22 14:54:07', '5']\n",
"['2018-11-22 14:55:36', '0']\n",
"['2018-11-22 14:57:05', '4']\n",
"['2018-11-22 14:57:45', '5']\n",
"['2018-11-22 14:58:02', '5']\n",
"['2018-11-22 14:58:44', '5']\n",
"['2018-11-22 14:59:18', '5']\n",
"['2018-11-22 15:00:22', '5']\n",
"['2018-11-22 15:01:08', '6']\n",
"['2018-11-22 15:01:37', '6']\n",
"['2018-11-22 15:02:45', '10']\n",
"['2018-11-22 15:04:18', '10']\n",
"['2018-11-22 15:05:02', '12']\n",
"['2018-11-22 15:05:50', '12']\n",
"['2018-11-22 15:06:37', '13']\n",
"['2018-11-22 15:07:15', '14']\n",
"['2018-11-22 15:08:52', '15']\n",
"['2018-11-22 15:09:54', '17']\n",
"['2018-11-22 15:15:19', '23']\n",
"['2018-11-22 15:18:11', '23']\n",
"['2018-11-22 15:19:30', '25']\n",
"['2018-11-22 15:21:36', '34']\n",
"['2018-11-22 15:22:33', '35']\n",
"['2018-11-22 15:24:01', '34']\n",
"['2018-11-22 15:25:38', '29']\n",
"['2018-11-22 15:27:54', '27']\n",
"['2018-11-22 15:29:53', '27']\n",
"['2018-11-22 15:32:25', '27']\n",
"['2018-11-22 15:34:50', '33']\n",
"['2018-11-22 15:36:34', '28']\n",
"['2018-11-22 15:40:40', '26']\n",
"['2018-11-22 15:41:41', '30']\n",
"['2018-11-22 15:42:48', '33']\n",
"['2018-11-22 15:43:31', '30']\n",
"['2018-11-22 15:44:45', '25']\n",
"['2018-11-22 15:45:32', '28']\n",
"['2018-11-22 15:47:15', '27']\n",
"['2018-11-22 15:48:18', '23']\n",
"['2018-11-22 15:49:08', '19']\n",
"['2018-11-22 15:50:14', '12']\n",
"['2018-11-22 15:52:16', '8']\n",
"['2018-11-22 15:53:37', '5']\n",
"['2018-11-22 15:54:25', '1']\n",
"['2018-11-22 15:55:26', '1']\n",
"['2018-11-22 16:00:50', '0']\n",
"['2018-11-22 16:01:58', '0']\n",
"['2018-11-22 16:03:15', '7']\n",
"['2018-11-22 16:04:33', '9']\n",
"['2018-11-22 16:05:50', '7']\n",
"['2018-11-22 16:07:08', '7']\n",
"['2018-11-22 16:08:26', '7']\n",
"['2018-11-22 16:09:43', '4']\n",
"['2018-11-22 16:11:01', '11']\n",
"['2018-11-22 16:12:18', '10']\n",
"['2018-11-22 16:13:36', '10']\n",
"['2018-11-22 16:14:54', '5']\n",
"['2018-11-22 16:16:11', '5']\n",
"['2018-11-22 16:17:29', '2']\n",
"['2018-11-22 16:18:46', '0']\n",
"['2018-11-22 16:20:04', '0']\n",
"['2018-11-22 16:21:22', '5']\n",
"['2018-11-22 16:22:39', '7']\n",
"['2018-11-22 16:23:57', '13']\n",
"['2018-11-22 16:25:15', '11']\n",
"['2018-11-22 16:26:32', '6']\n",
"['2018-11-22 16:27:50', '5']\n",
"['2018-11-22 16:29:07', '5']\n",
"['2018-11-22 16:30:25', '11']\n",
"['2018-11-22 16:31:43', '9']\n",
"['2018-11-22 16:33:00', '6']\n",
"['2018-11-22 16:34:18', '10']\n",
"['2018-11-22 16:35:35', '8']\n",
"['2018-11-22 16:36:53', '6']\n",
"['2018-11-22 16:38:11', '4']\n",
"['2018-11-22 16:39:28', '4']\n",
"['2018-11-22 16:40:46', '2']\n",
"['2018-11-22 16:42:04', '2']\n",
"['2018-11-22 16:43:21', '3']\n",
"['2018-11-22 16:44:39', '3']\n",
"['2018-11-22 16:45:56', '6']\n",
"['2018-11-22 16:47:14', '4']\n",
"['2018-11-22 16:48:32', '4']\n",
"['2018-11-22 16:49:49', '4']\n",
"['2018-11-22 16:51:07', '5']\n",
"['2018-11-22 16:52:24', '0']\n",
"['2018-11-22 16:53:42', '0']\n",
"['2018-11-22 16:55:00', '0']\n",
"['2018-11-22 16:56:17', '0']\n",
"['2018-11-22 16:57:35', '0']\n",
"['2018-11-22 16:58:53', '3']\n",
"['2018-11-22 16:59:22', '1']\n",
"['2018-11-22 17:01:15', '2']\n",
"['2018-11-22 17:01:53', '0']\n",
"['2018-11-22 17:02:34', '1']\n",
"['2018-11-22 17:03:52', '4']\n",
"['2018-11-22 17:04:33', '4']\n",
"['2018-11-22 17:04:55', '5']\n",
"['2018-11-22 17:05:57', '6']\n",
"['2018-11-22 17:07:36', '4']\n",
"['2018-11-22 17:07:51', '6']\n",
"['2018-11-22 17:08:21', '6']\n",
"['2018-11-22 17:09:54', '6']\n",
"['2018-11-22 17:10:05', '7']\n",
"['2018-11-22 17:11:34', '8']\n",
"['2018-11-22 17:12:40', '7']\n",
"['2018-11-22 17:15:41', '8']\n",
"['2018-11-22 17:18:00', '4']\n",
"['2018-11-22 17:20:08', '4']\n",
"['2018-11-22 17:21:56', '5']\n",
"['2018-11-22 17:23:00', '5']\n",
"['2018-11-22 17:24:19', '3']\n",
"['2018-11-22 17:25:43', '7']\n",
"['2018-11-22 17:26:58', '1']\n",
"['2018-11-22 17:28:22', '3']\n",
"['2018-11-22 17:29:34', '1']\n",
"['2018-11-22 17:30:51', '2']\n",
"['2018-11-22 17:31:49', '3']\n",
"['2018-11-22 17:35:08', '2']\n",
"['2018-11-22 17:36:18', '6']\n",
"['2018-11-22 17:36:53', '5']\n",
"['2018-11-22 17:37:20', '4']\n",
"['2018-11-22 17:38:27', '4']\n",
"['2018-11-22 17:39:10', '1']\n",
"['2018-11-22 17:40:51', '1']\n",
"['2018-11-22 17:41:49', '0']\n",
"['2018-11-22 17:42:41', '0']\n",
"['2018-11-22 17:43:13', '0']\n",
"['2018-11-22 17:45:15', '0']\n",
"['2018-11-22 17:46:24', '0']\n",
"['2018-11-22 17:46:43', '0']\n",
"['2018-11-22 17:47:45', '0']\n",
"['2018-11-22 17:52:41', '0']\n",
"['2018-11-22 17:53:51', '0']\n",
"['2018-11-22 17:55:17', '5']\n",
"['2018-11-22 17:56:43', '6']\n",
"['2018-11-22 17:58:09', '6']\n",
"['2018-11-22 17:59:36', '6']\n",
"['2018-11-22 18:01:02', '6']\n",
"['2018-11-22 18:02:28', '13']\n",
"['2018-11-22 18:03:55', '14']\n",
"['2018-11-22 18:05:21', '22']\n",
"['2018-11-22 18:06:47', '20']\n",
"['2018-11-22 18:08:13', '21']\n",
"['2018-11-22 18:09:40', '24']\n",
"['2018-11-22 18:11:06', '24']\n",
"['2018-11-22 18:12:32', '24']\n",
"['2018-11-22 18:13:59', '21']\n",
"['2018-11-22 18:15:25', '21']\n",
"['2018-11-22 18:16:51', '25']\n",
"['2018-11-22 18:18:18', '25']\n",
"['2018-11-22 18:19:44', '24']\n",
"['2018-11-22 18:21:10', '26']\n",
"['2018-11-22 18:22:36', '15']\n",
"['2018-11-22 18:24:03', '15']\n",
"['2018-11-22 18:25:29', '11']\n",
"['2018-11-22 18:26:55', '11']\n",
"['2018-11-22 18:28:22', '11']\n",
"['2018-11-22 18:29:48', '12']\n",
"['2018-11-22 18:31:14', '5']\n",
"['2018-11-22 18:32:40', '9']\n",
"['2018-11-22 18:34:07', '7']\n",
"['2018-11-22 18:35:33', '12']\n",
"['2018-11-22 18:36:59', '12']\n",
"['2018-11-22 18:38:26', '7']\n",
"['2018-11-22 18:39:52', '7']\n",
"['2018-11-22 18:41:18', '4']\n",
"['2018-11-22 18:42:45', '2']\n",
"['2018-11-22 18:44:11', '2']\n",
"['2018-11-22 18:45:37', '2']\n",
"['2018-11-22 18:47:03', '0']\n",
"['2018-11-22 18:48:30', '0']\n",
"['2018-11-22 18:49:56', '0']\n",
"['2018-11-22 18:51:22', '0']\n",
"['2018-11-22 18:52:49', '0']\n",
"['2018-11-22 18:54:15', '0']\n",
"['2018-11-22 18:55:41', '0']\n",
"['2018-11-22 18:57:08', '2']\n",
"['2018-11-22 18:57:37', '2']\n",
"['2018-11-22 18:58:19', '2']\n",
"['2018-11-22 18:58:53', '2']\n",
"['2018-11-22 18:59:11', '2']\n",
"['2018-11-22 19:00:14', '2']\n",
"['2018-11-22 19:00:45', '3']\n",
"['2018-11-22 19:01:39', '3']\n",
"['2018-11-22 19:02:20', '5']\n",
"['2018-11-22 19:04:07', '5']\n",
"['2018-11-22 19:04:47', '8']\n",
"['2018-11-22 19:05:20', '8']\n",
"['2018-11-22 19:06:53', '7']\n",
"['2018-11-22 19:07:11', '11']\n",
"['2018-11-22 19:08:08', '9']\n",
"['2018-11-22 19:09:08', '7']\n",
"['2018-11-22 19:15:23', '12']\n",
"['2018-11-22 19:17:17', '12']\n",
"['2018-11-22 19:19:17', '12']\n",
"['2018-11-22 19:20:45', '12']\n",
"['2018-11-22 19:21:37', '9']\n",
"['2018-11-22 19:23:35', '11']\n",
"['2018-11-22 19:25:09', '7']\n",
"['2018-11-22 19:27:38', '7']\n",
"['2018-11-22 19:28:22', '10']\n",
"['2018-11-22 19:28:42', '7']\n",
"['2018-11-22 19:30:16', '4']\n",
"['2018-11-22 19:31:01', '8']\n",
"['2018-11-22 19:33:49', '6']\n",
"['2018-11-22 19:34:30', '6']\n",
"['2018-11-22 19:35:26', '3']\n",
"['2018-11-22 19:36:01', '1']\n",
"['2018-11-22 19:36:58', '0']\n",
"['2018-11-22 19:37:59', '0']\n",
"['2018-11-22 19:39:32', '2']\n",
"['2018-11-22 19:40:31', '2']\n",
"['2018-11-22 19:41:21', '0']\n",
"['2018-11-22 19:41:53', '0']\n",
"['2018-11-22 19:43:44', '0']\n",
"['2018-11-22 19:44:37', '0']\n",
"['2018-11-22 19:45:16', '0']\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-22 19:46:12', '0']\n",
"['2018-11-22 19:50:51', '0']\n",
"['2018-11-22 19:52:05', '0']\n",
"['2018-11-22 19:59:02', '2']\n",
"['2018-11-22 20:00:20', '2']\n",
"['2018-11-22 20:04:10', '3']\n",
"['2018-11-22 20:04:50', '3']\n",
"['2018-11-22 20:05:42', '4']\n",
"['2018-11-22 20:06:22', '4']\n",
"['2018-11-22 20:07:41', '5']\n",
"['2018-11-22 20:08:17', '5']\n",
"['2018-11-22 20:10:05', '4']\n",
"['2018-11-22 20:11:05', '4']\n",
"['2018-11-22 20:11:55', '5']\n",
"['2018-11-22 20:12:38', '5']\n",
"['2018-11-22 20:14:18', '4']\n",
"['2018-11-22 20:15:32', '4']\n",
"['2018-11-22 20:16:27', '7']\n",
"['2018-11-22 20:18:52', '7']\n",
"['2018-11-22 20:19:27', '8']\n",
"['2018-11-22 20:20:43', '8']\n",
"['2018-11-22 20:22:27', '8']\n",
"['2018-11-22 20:24:12', '12']\n",
"['2018-11-22 20:26:08', '12']\n",
"['2018-11-22 20:28:01', '7']\n",
"['2018-11-22 20:28:54', '9']\n",
"['2018-11-22 20:30:28', '7']\n",
"['2018-11-22 20:31:45', '9']\n",
"['2018-11-22 20:34:38', '5']\n",
"['2018-11-22 20:36:25', '6']\n",
"['2018-11-22 20:37:00', '3']\n",
"['2018-11-22 20:38:05', '9']\n",
"['2018-11-22 20:38:23', '10']\n",
"['2018-11-22 20:39:29', '10']\n",
"['2018-11-22 20:39:41', '12']\n",
"['2018-11-22 20:41:15', '14']\n",
"['2018-11-22 20:41:55', '12']\n",
"['2018-11-22 20:42:53', '12']\n",
"['2018-11-22 20:43:31', '10']\n",
"['2018-11-22 20:44:32', '3']\n",
"['2018-11-22 20:45:22', '0']\n",
"['2018-11-22 20:45:33', '0']\n",
"['2018-11-22 20:46:31', '0']\n",
"['2018-11-22 20:46:50', '0']\n",
"['2018-11-22 20:51:14', '0']\n",
"['2018-11-22 20:55:38', '0']\n",
"['2018-11-22 21:00:03', '2']\n",
"['2018-11-22 21:04:19', '2']\n",
"['2018-11-22 21:05:09', '4']\n",
"['2018-11-22 21:05:18', '4']\n",
"['2018-11-22 21:06:05', '8']\n",
"['2018-11-22 21:07:31', '11']\n",
"['2018-11-22 21:07:40', '10']\n",
"['2018-11-22 21:07:59', '11']\n",
"['2018-11-22 21:08:52', '11']\n",
"['2018-11-22 21:10:20', '13']\n",
"['2018-11-22 21:10:34', '15']\n",
"['2018-11-22 21:11:02', '15']\n",
"['2018-11-22 21:11:42', '13']\n",
"['2018-11-22 21:12:19', '14']\n",
"['2018-11-22 21:13:31', '13']\n",
"['2018-11-22 21:14:50', '15']\n",
"['2018-11-22 21:15:55', '19']\n",
"['2018-11-22 21:17:54', '18']\n",
"['2018-11-22 21:18:25', '19']\n",
"['2018-11-22 21:20:02', '19']\n",
"['2018-11-22 21:20:25', '20']\n",
"['2018-11-22 21:21:03', '19']\n",
"['2018-11-22 21:22:21', '17']\n",
"['2018-11-22 21:23:40', '19']\n",
"['2018-11-22 21:25:30', '19']\n",
"['2018-11-22 21:25:54', '19']\n",
"['2018-11-22 21:26:26', '18']\n",
"['2018-11-22 21:26:59', '16']\n",
"['2018-11-22 21:29:13', '16']\n",
"['2018-11-22 21:30:04', '16']\n",
"['2018-11-22 21:30:31', '16']\n",
"['2018-11-22 21:30:47', '14']\n",
"['2018-11-22 21:31:22', '15']\n",
"['2018-11-22 21:32:01', '11']\n",
"['2018-11-22 21:33:10', '11']\n",
"['2018-11-22 21:34:05', '5']\n",
"['2018-11-22 21:34:54', '0']\n",
"['2018-11-22 21:35:31', '0']\n",
"['2018-11-22 21:38:26', '0']\n",
"['2018-11-22 21:39:54', '0']\n",
"['2018-11-22 21:46:34', '3']\n",
"['2018-11-22 21:47:20', '3']\n",
"['2018-11-22 21:51:10', '7']\n",
"['2018-11-22 21:51:41', '7']\n",
"['2018-11-22 21:52:19', '5']\n",
"['2018-11-22 21:52:53', '6']\n",
"['2018-11-22 21:53:59', '6']\n",
"['2018-11-22 21:54:18', '4']\n",
"['2018-11-22 21:55:13', '5']\n",
"['2018-11-22 21:55:33', '4']\n",
"['2018-11-22 21:56:09', '2']\n",
"['2018-11-22 21:56:31', '2']\n",
"['2018-11-22 21:57:17', '2']\n",
"['2018-11-22 21:58:10', '2']\n",
"['2018-11-22 21:58:46', '2']\n",
"['2018-11-22 21:59:46', '2']\n",
"['2018-11-22 22:00:01', '2']\n",
"['2018-11-22 22:00:28', '2']\n",
"['2018-11-22 22:02:39', '2']\n",
"['2018-11-22 22:03:17', '2']\n",
"['2018-11-22 22:04:58', '2']\n",
"['2018-11-22 22:05:15', '2']\n",
"['2018-11-22 22:07:46', '2']\n",
"['2018-11-22 22:09:16', '2']\n",
"['2018-11-22 22:10:19', '0']\n",
"['2018-11-25 07:04:08', '3']\n",
"['2018-11-25 07:05:27', '4']\n",
"['2018-11-25 07:06:35', '4']\n",
"['2018-11-25 07:07:02', '7']\n",
"['2018-11-25 07:07:46', '9']\n",
"['2018-11-25 07:08:52', '8']\n",
"['2018-11-25 07:09:45', '9']\n",
"['2018-11-25 07:10:39', '11']\n",
"['2018-11-25 07:11:47', '11']\n",
"['2018-11-25 07:12:11', '11']\n",
"['2018-11-25 07:12:43', '11']\n",
"['2018-11-25 07:13:26', '11']\n",
"['2018-11-25 07:14:25', '11']\n",
"['2018-11-25 07:14:39', '12']\n",
"['2018-11-25 07:15:43', '13']\n",
"['2018-11-25 07:16:30', '13']\n",
"['2018-11-25 07:17:21', '13']\n",
"['2018-11-25 07:17:38', '13']\n",
"['2018-11-25 07:18:50', '13']\n",
"['2018-11-25 07:19:23', '13']\n",
"['2018-11-25 07:20:10', '13']\n",
"['2018-11-25 07:20:43', '13']\n",
"['2018-11-25 07:23:35', '5']\n",
"['2018-11-25 07:24:45', '0']\n",
"['2018-11-25 07:36:10', '5']\n",
"['2018-11-25 07:58:19', '16']\n",
"['2018-11-25 08:32:40', '5']\n",
"['2018-11-25 08:33:14', '16']\n",
"['2018-11-25 08:36:58', '16']\n",
"['2018-11-25 08:37:34', '16']\n",
"['2018-11-25 08:38:20', '16']\n",
"['2018-11-25 08:38:52', '18']\n",
"['2018-11-25 08:40:39', '18']\n",
"['2018-11-25 08:41:42', '18']\n",
"['2018-11-25 08:43:04', '18']\n",
"['2018-11-25 08:43:26', '19']\n",
"['2018-11-25 08:44:48', '19']\n",
"['2018-11-25 08:45:15', '20']\n",
"['2018-11-25 08:47:14', '19']\n",
"['2018-11-25 08:48:36', '17']\n",
"['2018-11-25 08:49:45', '17']\n",
"['2018-11-25 08:50:56', '17']\n",
"['2018-11-25 08:51:15', '17']\n",
"['2018-11-25 08:51:43', '16']\n",
"['2018-11-25 08:52:39', '17']\n",
"['2018-11-25 08:54:25', '15']\n",
"['2018-11-25 08:56:17', '12']\n",
"['2018-11-25 08:57:16', '12']\n",
"['2018-11-25 08:58:13', '10']\n",
"['2018-11-25 08:59:39', '10']\n",
"['2018-11-25 09:01:09', '4']\n",
"['2018-11-25 09:03:44', '4']\n",
"['2018-11-25 09:05:38', '4']\n",
"['2018-11-25 09:06:24', '4']\n",
"['2018-11-25 09:07:02', '3']\n",
"['2018-11-25 09:07:54', '3']\n",
"['2018-11-25 09:08:28', '2']\n",
"['2018-11-25 09:09:11', '2']\n",
"['2018-11-25 09:10:21', '2']\n",
"['2018-11-25 09:11:06', '2']\n",
"['2018-11-25 09:11:47', '1']\n",
"['2018-11-25 09:12:29', '1']\n",
"['2018-11-25 09:13:05', '1']\n",
"['2018-11-25 09:14:00', '1']\n",
"['2018-11-25 09:14:30', '1']\n",
"['2018-11-25 09:14:53', '1']\n",
"['2018-11-25 09:15:28', '1']\n",
"['2018-11-25 09:22:06', '1']\n",
"['2018-11-25 09:28:44', '0']\n",
"['2018-11-25 09:35:22', '2']\n",
"['2018-11-25 09:35:56', '3']\n",
"['2018-11-25 09:36:55', '6']\n",
"['2018-11-25 09:37:06', '6']\n",
"['2018-11-25 09:38:05', '6']\n",
"['2018-11-25 09:38:52', '8']\n",
"['2018-11-25 09:39:36', '8']\n",
"['2018-11-25 09:40:01', '9']\n",
"['2018-11-25 09:41:07', '9']\n",
"['2018-11-25 09:42:33', '13']\n",
"['2018-11-25 09:43:15', '13']\n",
"['2018-11-25 09:43:49', '17']\n",
"['2018-11-25 09:45:19', '17']\n",
"['2018-11-25 09:45:34', '17']\n",
"['2018-11-25 09:47:22', '17']\n",
"['2018-11-25 09:48:07', '17']\n",
"['2018-11-25 09:49:49', '14']\n",
"['2018-11-25 09:54:34', '15']\n",
"['2018-11-25 09:55:55', '16']\n",
"['2018-11-25 09:57:32', '15']\n",
"['2018-11-25 09:58:22', '15']\n",
"['2018-11-25 09:59:45', '18']\n",
"['2018-11-25 10:00:46', '18']\n",
"['2018-11-25 10:01:11', '17']\n",
"['2018-11-25 10:01:58', '18']\n",
"['2018-11-25 10:02:53', '18']\n",
"['2018-11-25 10:03:48', '18']\n",
"['2018-11-25 10:05:20', '18']\n",
"['2018-11-25 10:06:27', '18']\n",
"['2018-11-25 10:06:58', '18']\n",
"['2018-11-25 10:07:26', '18']\n",
"['2018-11-25 10:07:46', '16']\n",
"['2018-11-25 10:08:25', '17']\n",
"['2018-11-25 10:09:07', '15']\n",
"['2018-11-25 10:10:51', '15']\n",
"['2018-11-25 10:11:22', '15']\n",
"['2018-11-25 10:12:06', '15']\n",
"['2018-11-25 10:13:05', '15']\n",
"['2018-11-25 10:16:29', '4']\n",
"['2018-11-25 10:17:31', '0']\n",
"['2018-11-25 10:32:44', '2']\n",
"['2018-11-25 10:33:22', '5']\n",
"['2018-11-25 10:36:49', '5']\n",
"['2018-11-25 10:38:03', '7']\n",
"['2018-11-25 10:38:50', '7']\n",
"['2018-11-25 10:39:20', '11']\n",
"['2018-11-25 10:41:13', '11']\n",
"['2018-11-25 10:41:25', '12']\n",
"['2018-11-25 10:42:50', '12']\n",
"['2018-11-25 10:43:44', '11']\n",
"['2018-11-25 10:44:22', '11']\n",
"['2018-11-25 10:45:18', '13']\n",
"['2018-11-25 10:45:59', '14']\n",
"['2018-11-25 10:47:09', '14']\n",
"['2018-11-25 10:48:28', '14']\n",
"['2018-11-25 10:49:35', '14']\n",
"['2018-11-25 10:50:50', '14']\n",
"['2018-11-25 10:51:54', '18']\n",
"['2018-11-25 10:53:45', '18']\n",
"['2018-11-25 10:54:34', '14']\n",
"['2018-11-25 10:55:53', '11']\n",
"['2018-11-25 10:57:36', '11']\n",
"['2018-11-25 10:59:38', '8']\n",
"['2018-11-25 11:00:35', '9']\n",
"['2018-11-25 11:04:35', '2']\n",
"['2018-11-25 11:07:27', '6']\n",
"['2018-11-25 11:08:34', '7']\n",
"['2018-11-25 11:10:21', '2']\n",
"['2018-11-25 11:11:34', '2']\n",
"['2018-11-25 11:12:30', '2']\n",
"['2018-11-25 11:13:09', '2']\n",
"['2018-11-25 11:13:25', '2']\n",
"['2018-11-25 11:14:34', '2']\n",
"['2018-11-25 11:15:20', '2']\n",
"['2018-11-25 11:16:00', '1']\n",
"['2018-11-25 11:16:44', '1']\n",
"['2018-11-25 11:17:17', '1']\n",
"['2018-11-25 11:18:15', '1']\n",
"['2018-11-25 11:19:16', '0']\n",
"['2018-11-25 11:19:37', '0']\n",
"['2018-11-25 11:20:07', '0']\n",
"['2018-11-25 11:24:41', '0']\n",
"['2018-11-25 11:29:15', '0']\n",
"['2018-11-25 11:33:49', '1']\n",
"['2018-11-25 11:34:24', '2']\n",
"['2018-11-25 11:35:10', '3']\n",
"['2018-11-25 11:35:57', '8']\n",
"['2018-11-25 11:36:59', '8']\n",
"['2018-11-25 11:37:48', '9']\n",
"['2018-11-25 11:38:29', '8']\n",
"['2018-11-25 11:38:56', '8']\n",
"['2018-11-25 11:40:00', '8']\n",
"['2018-11-25 11:41:41', '8']\n",
"['2018-11-25 11:42:32', '8']\n",
"['2018-11-25 11:43:19', '10']\n",
"['2018-11-25 11:43:48', '10']\n",
"['2018-11-25 11:43:59', '7']\n",
"['2018-11-25 11:45:20', '10']\n",
"['2018-11-25 11:46:28', '11']\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-25 11:50:01', '16']\n",
"['2018-11-25 11:52:17', '13']\n",
"['2018-11-25 11:53:11', '14']\n",
"['2018-11-25 11:54:25', '13']\n",
"['2018-11-25 11:55:34', '7']\n",
"['2018-11-25 11:57:11', '10']\n",
"['2018-11-25 11:59:00', '10']\n",
"['2018-11-25 12:00:17', '10']\n",
"['2018-11-25 12:00:53', '10']\n",
"['2018-11-25 12:01:17', '10']\n",
"['2018-11-25 12:02:18', '10']\n",
"['2018-11-25 12:03:27', '10']\n",
"['2018-11-25 12:04:46', '9']\n",
"['2018-11-25 12:05:33', '10']\n",
"['2018-11-25 12:06:36', '9']\n",
"['2018-11-25 12:06:49', '8']\n",
"['2018-11-25 12:07:55', '8']\n",
"['2018-11-25 12:08:39', '8']\n",
"['2018-11-25 12:09:50', '8']\n",
"['2018-11-25 12:10:51', '8']\n",
"['2018-11-25 12:11:42', '8']\n",
"['2018-11-25 12:12:16', '8']\n",
"['2018-11-25 12:15:18', '0']\n",
"['2018-11-25 12:16:24', '0']\n",
"['2018-11-25 12:33:25', '1']\n",
"['2018-11-25 12:33:57', '4']\n",
"['2018-11-25 12:37:41', '4']\n",
"['2018-11-25 12:38:24', '4']\n",
"['2018-11-25 12:39:20', '4']\n",
"['2018-11-25 12:40:06', '4']\n",
"['2018-11-25 12:41:37', '4']\n",
"['2018-11-25 12:41:50', '6']\n",
"['2018-11-25 12:43:15', '6']\n",
"['2018-11-25 12:44:07', '7']\n",
"['2018-11-25 12:44:38', '8']\n",
"['2018-11-25 12:45:28', '9']\n",
"['2018-11-25 12:46:36', '10']\n",
"['2018-11-25 12:47:41', '8']\n",
"['2018-11-25 12:48:52', '8']\n",
"['2018-11-25 12:50:02', '8']\n",
"['2018-11-25 12:50:13', '9']\n",
"['2018-11-25 12:52:53', '9']\n",
"['2018-11-25 12:54:15', '14']\n",
"['2018-11-25 12:55:05', '10']\n",
"['2018-11-25 12:56:19', '10']\n",
"['2018-11-25 12:56:36', '9']\n",
"['2018-11-25 12:58:54', '9']\n",
"['2018-11-25 12:59:07', '8']\n",
"['2018-11-25 13:01:52', '11']\n",
"['2018-11-25 13:04:49', '11']\n",
"['2018-11-25 13:05:46', '10']\n",
"['2018-11-25 13:06:48', '5']\n",
"['2018-11-25 13:08:06', '5']\n",
"['2018-11-25 13:08:29', '5']\n",
"['2018-11-25 13:09:06', '5']\n",
"['2018-11-25 13:09:23', '5']\n",
"['2018-11-25 13:10:55', '5']\n",
"['2018-11-25 13:11:41', '5']\n",
"['2018-11-25 13:12:23', '4']\n",
"['2018-11-25 13:13:04', '4']\n",
"['2018-11-25 13:13:39', '4']\n",
"['2018-11-25 13:14:45', '4']\n",
"['2018-11-25 13:15:29', '4']\n",
"['2018-11-25 13:15:42', '3']\n",
"['2018-11-25 13:16:37', '3']\n",
"['2018-11-25 13:21:34', '3']\n",
"['2018-11-25 13:26:32', '0']\n",
"['2018-11-25 13:31:30', '0']\n",
"['2018-11-25 13:32:14', '0']\n",
"['2018-11-25 13:32:41', '0']\n",
"['2018-11-25 13:32:55', '0']\n",
"['2018-11-25 13:33:29', '0']\n",
"['2018-11-25 13:34:09', '4']\n",
"['2018-11-25 13:35:04', '6']\n",
"['2018-11-25 13:35:37', '6']\n",
"['2018-11-25 13:37:03', '6']\n",
"['2018-11-25 13:39:06', '6']\n",
"['2018-11-25 13:39:53', '6']\n",
"['2018-11-25 13:40:40', '10']\n",
"['2018-11-25 13:41:44', '10']\n",
"['2018-11-25 13:42:00', '10']\n",
"['2018-11-25 13:43:03', '10']\n",
"['2018-11-25 13:43:52', '9']\n",
"['2018-11-25 13:49:55', '10']\n",
"['2018-11-25 13:51:35', '11']\n",
"['2018-11-25 13:52:14', '12']\n",
"['2018-11-25 13:53:17', '13']\n",
"['2018-11-25 13:54:04', '13']\n",
"['2018-11-25 13:55:19', '15']\n",
"['2018-11-25 13:57:10', '15']\n",
"['2018-11-25 13:58:05', '14']\n",
"['2018-11-25 13:59:29', '13']\n",
"['2018-11-25 14:00:15', '14']\n",
"['2018-11-25 14:01:15', '13']\n",
"['2018-11-25 14:01:50', '12']\n",
"['2018-11-25 14:04:27', '11']\n",
"['2018-11-25 14:04:44', '11']\n",
"['2018-11-25 14:05:48', '11']\n",
"['2018-11-25 14:06:02', '11']\n",
"['2018-11-25 14:07:04', '10']\n",
"['2018-11-25 14:08:02', '10']\n",
"['2018-11-25 14:09:21', '9']\n",
"['2018-11-25 14:10:21', '9']\n",
"['2018-11-25 14:11:14', '9']\n",
"['2018-11-25 14:11:49', '9']\n",
"['2018-11-25 14:14:52', '3']\n",
"['2018-11-25 14:15:59', '0']\n",
"['2018-11-25 14:30:58', '3']\n",
"['2018-11-25 14:31:44', '8']\n",
"['2018-11-25 14:35:32', '10']\n",
"['2018-11-25 14:36:15', '10']\n",
"['2018-11-25 14:37:39', '10']\n",
"['2018-11-25 14:38:15', '15']\n",
"['2018-11-25 14:40:10', '17']\n",
"['2018-11-25 14:40:22', '19']\n",
"['2018-11-25 14:41:50', '20']\n",
"['2018-11-25 14:42:40', '20']\n",
"['2018-11-25 14:43:37', '23']\n",
"['2018-11-25 14:44:24', '23']\n",
"['2018-11-25 14:45:47', '23']\n",
"['2018-11-25 14:46:52', '22']\n",
"['2018-11-25 14:48:00', '22']\n",
"['2018-11-25 14:49:00', '22']\n",
"['2018-11-25 14:49:16', '22']\n",
"['2018-11-25 14:49:42', '21']\n",
"['2018-11-25 14:50:36', '20']\n",
"['2018-11-25 14:51:27', '19']\n",
"['2018-11-25 14:53:32', '10']\n",
"['2018-11-25 14:55:05', '13']\n",
"['2018-11-25 14:57:18', '12']\n",
"['2018-11-25 14:58:00', '11']\n",
"['2018-11-25 15:01:42', '18']\n",
"['2018-11-25 15:03:58', '19']\n",
"['2018-11-25 15:05:26', '11']\n",
"['2018-11-25 15:06:16', '9']\n",
"['2018-11-25 15:07:23', '5']\n",
"['2018-11-25 15:08:58', '3']\n",
"['2018-11-25 15:09:57', '2']\n",
"['2018-11-25 15:10:42', '2']\n",
"['2018-11-25 15:12:00', '2']\n",
"['2018-11-25 15:12:47', '2']\n",
"['2018-11-25 15:13:36', '2']\n",
"['2018-11-25 15:13:46', '2']\n",
"['2018-11-25 15:14:51', '2']\n",
"['2018-11-25 15:15:49', '2']\n",
"['2018-11-25 15:16:23', '2']\n",
"['2018-11-25 15:16:44', '0']\n",
"['2018-11-25 15:17:49', '0']\n",
"['2018-11-25 15:21:12', '0']\n",
"['2018-11-25 15:24:36', '0']\n",
"['2018-11-25 15:28:00', '0']\n",
"['2018-11-25 15:28:38', '1']\n",
"['2018-11-25 15:29:42', '1']\n",
"['2018-11-25 15:29:52', '3']\n",
"['2018-11-25 15:30:53', '3']\n",
"['2018-11-25 15:31:41', '4']\n",
"['2018-11-25 15:32:16', '5']\n",
"['2018-11-25 15:33:16', '5']\n",
"['2018-11-25 15:33:58', '5']\n",
"['2018-11-25 15:36:17', '6']\n",
"['2018-11-25 15:36:35', '8']\n",
"['2018-11-25 15:37:29', '8']\n",
"['2018-11-25 15:38:42', '8']\n",
"['2018-11-25 15:39:01', '17']\n",
"['2018-11-25 15:40:49', '20']\n",
"['2018-11-25 15:42:00', '14']\n",
"['2018-11-25 15:45:44', '10']\n",
"['2018-11-25 15:48:56', '10']\n",
"['2018-11-25 15:50:51', '11']\n",
"['2018-11-25 15:52:23', '11']\n",
"['2018-11-25 15:52:40', '15']\n",
"['2018-11-25 15:53:55', '16']\n",
"['2018-11-25 15:55:46', '16']\n",
"['2018-11-25 15:56:27', '16']\n",
"['2018-11-25 15:57:10', '15']\n",
"['2018-11-25 15:57:35', '15']\n",
"['2018-11-25 15:58:35', '15']\n",
"['2018-11-25 15:59:11', '15']\n",
"['2018-11-25 16:01:45', '6']\n",
"['2018-11-25 16:02:47', '6']\n",
"['2018-11-25 16:03:20', '6']\n",
"['2018-11-25 16:03:40', '6']\n",
"['2018-11-25 16:04:32', '6']\n",
"['2018-11-25 16:04:52', '6']\n",
"['2018-11-25 16:06:09', '4']\n",
"['2018-11-25 16:07:12', '4']\n",
"['2018-11-25 16:08:04', '4']\n",
"['2018-11-25 16:08:39', '4']\n",
"['2018-11-25 16:11:44', '2']\n",
"['2018-11-25 16:12:56', '0']\n",
"['2018-11-25 16:26:41', '3']\n",
"['2018-11-25 16:27:24', '3']\n",
"['2018-11-25 16:31:26', '5']\n",
"['2018-11-25 16:32:11', '5']\n",
"['2018-11-25 16:33:03', '5']\n",
"['2018-11-25 16:33:46', '5']\n",
"['2018-11-25 16:35:15', '5']\n",
"['2018-11-25 16:36:08', '7']\n",
"['2018-11-25 16:37:51', '5']\n",
"['2018-11-25 16:38:37', '7']\n",
"['2018-11-25 16:39:44', '8']\n",
"['2018-11-25 16:40:33', '9']\n",
"['2018-11-25 16:42:08', '10']\n",
"['2018-11-25 16:42:52', '11']\n",
"['2018-11-25 16:44:07', '11']\n",
"['2018-11-25 16:45:16', '11']\n",
"['2018-11-25 16:45:34', '11']\n",
"['2018-11-25 16:46:40', '11']\n",
"['2018-11-25 16:47:07', '7']\n",
"['2018-11-25 16:48:12', '7']\n",
"['2018-11-25 16:51:01', '17']\n",
"['2018-11-25 16:52:24', '17']\n",
"['2018-11-25 16:54:32', '17']\n",
"['2018-11-25 16:55:57', '17']\n",
"['2018-11-25 16:57:29', '8']\n",
"['2018-11-25 17:00:10', '7']\n",
"['2018-11-25 17:01:12', '6']\n",
"['2018-11-25 17:02:21', '5']\n",
"['2018-11-25 17:03:29', '5']\n",
"['2018-11-25 17:03:51', '4']\n",
"['2018-11-25 17:04:31', '4']\n",
"['2018-11-25 17:04:47', '4']\n",
"['2018-11-25 17:06:30', '5']\n",
"['2018-11-25 17:07:18', '3']\n",
"['2018-11-25 17:08:28', '3']\n",
"['2018-11-25 17:09:11', '2']\n",
"['2018-11-25 17:09:53', '2']\n",
"['2018-11-25 17:10:52', '1']\n",
"['2018-11-25 17:11:30', '1']\n",
"['2018-11-25 17:11:48', '1']\n",
"['2018-11-25 17:12:50', '1']\n",
"['2018-11-25 17:18:13', '1']\n",
"['2018-11-25 17:23:36', '0']\n",
"['2018-11-25 17:29:00', '0']\n",
"['2018-11-25 17:29:55', '0']\n",
"['2018-11-25 17:30:27', '0']\n",
"['2018-11-25 17:30:41', '1']\n",
"['2018-11-25 17:31:09', '6']\n",
"['2018-11-25 17:32:27', '7']\n",
"['2018-11-25 17:33:07', '7']\n",
"['2018-11-25 17:34:09', '7']\n",
"['2018-11-25 17:36:42', '7']\n",
"['2018-11-25 17:38:43', '7']\n",
"['2018-11-25 17:39:07', '8']\n",
"['2018-11-25 17:39:56', '9']\n",
"['2018-11-25 17:40:55', '10']\n",
"['2018-11-25 17:41:04', '11']\n",
"['2018-11-25 17:43:16', '12']\n",
"['2018-11-25 17:44:40', '12']\n",
"['2018-11-25 17:47:08', '14']\n",
"['2018-11-25 17:49:27', '15']\n",
"['2018-11-25 17:52:05', '15']\n",
"['2018-11-25 17:52:35', '13']\n",
"['2018-11-25 17:53:23', '9']\n",
"['2018-11-25 17:54:29', '9']\n",
"['2018-11-25 17:55:57', '10']\n",
"['2018-11-25 17:58:15', '11']\n",
"['2018-11-25 17:59:00', '12']\n",
"['2018-11-25 17:59:27', '11']\n",
"['2018-11-25 18:00:27', '10']\n",
"['2018-11-25 18:01:26', '9']\n",
"['2018-11-25 18:04:01', '8']\n",
"['2018-11-25 18:04:22', '8']\n",
"['2018-11-25 18:05:25', '7']\n",
"['2018-11-25 18:06:10', '7']\n",
"['2018-11-25 18:07:34', '6']\n",
"['2018-11-25 18:07:57', '6']\n",
"['2018-11-25 18:09:19', '4']\n",
"['2018-11-25 18:10:25', '4']\n",
"['2018-11-25 18:11:25', '4']\n",
"['2018-11-25 18:12:07', '4']\n",
"['2018-11-25 18:15:57', '4']\n",
"['2018-11-25 18:17:09', '0']\n",
"['2018-11-25 18:25:53', '4']\n",
"['2018-11-25 18:26:58', '6']\n",
"['2018-11-25 18:31:13', '6']\n",
"['2018-11-25 18:32:30', '7']\n",
"['2018-11-25 18:33:52', '7']\n",
"['2018-11-25 18:34:41', '7']\n",
"['2018-11-25 18:36:16', '7']\n",
"['2018-11-25 18:36:28', '8']\n",
"['2018-11-25 18:38:06', '8']\n",
"['2018-11-25 18:38:56', '9']\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-25 18:40:15', '11']\n",
"['2018-11-25 18:41:17', '13']\n",
"['2018-11-25 18:42:12', '14']\n",
"['2018-11-25 18:43:27', '14']\n",
"['2018-11-25 18:44:19', '14']\n",
"['2018-11-25 18:45:34', '15']\n",
"['2018-11-25 18:45:49', '16']\n",
"['2018-11-25 18:46:53', '17']\n",
"['2018-11-25 18:48:31', '17']\n",
"['2018-11-25 18:50:09', '19']\n",
"['2018-11-25 18:51:39', '27']\n",
"['2018-11-25 18:53:03', '28']\n",
"['2018-11-25 18:55:33', '27']\n",
"['2018-11-25 18:56:20', '28']\n",
"['2018-11-25 18:59:55', '16']\n",
"['2018-11-25 19:02:37', '21']\n",
"['2018-11-25 19:03:47', '19']\n",
"['2018-11-25 19:05:12', '13']\n",
"['2018-11-25 19:06:21', '12']\n",
"['2018-11-25 19:07:05', '12']\n",
"['2018-11-25 19:08:09', '10']\n",
"['2018-11-25 19:08:30', '10']\n",
"['2018-11-25 19:09:59', '10']\n",
"['2018-11-25 19:10:53', '10']\n",
"['2018-11-25 19:11:42', '6']\n",
"['2018-11-25 19:12:28', '5']\n",
"['2018-11-25 19:13:39', '5']\n",
"['2018-11-25 19:14:35', '5']\n",
"['2018-11-25 19:15:16', '2']\n",
"['2018-11-25 19:16:17', '2']\n",
"['2018-11-25 19:17:20', '5']\n",
"['2018-11-25 19:20:53', '3']\n",
"['2018-11-25 19:24:26', '0']\n",
"['2018-11-25 19:27:59', '3']\n",
"['2018-11-25 19:28:49', '3']\n",
"['2018-11-25 19:29:13', '3']\n",
"['2018-11-25 19:30:00', '0']\n",
"['2018-11-25 19:30:39', '0']\n",
"['2018-11-25 19:31:39', '0']\n",
"['2018-11-25 19:31:45', '1']\n",
"['2018-11-25 19:33:10', '1']\n",
"['2018-11-25 19:33:57', '1']\n",
"['2018-11-25 19:35:56', '1']\n",
"['2018-11-25 19:36:13', '1']\n",
"['2018-11-25 19:37:12', '1']\n",
"['2018-11-25 19:37:45', '1']\n",
"['2018-11-25 19:38:03', '1']\n",
"['2018-11-25 19:39:44', '1']\n",
"['2018-11-25 19:40:55', '1']\n",
"['2018-11-25 19:44:42', '6']\n",
"['2018-11-25 19:47:16', '6']\n",
"['2018-11-25 19:48:55', '6']\n",
"['2018-11-25 19:51:43', '6']\n",
"['2018-11-25 19:52:00', '7']\n",
"['2018-11-25 19:53:21', '8']\n",
"['2018-11-25 19:54:27', '7']\n",
"['2018-11-25 19:55:50', '7']\n",
"['2018-11-25 19:56:34', '7']\n",
"['2018-11-25 19:57:00', '7']\n",
"['2018-11-25 19:57:39', '7']\n",
"['2018-11-25 19:58:21', '6']\n",
"['2018-11-25 20:00:12', '7']\n",
"['2018-11-25 20:01:21', '7']\n",
"['2018-11-25 20:01:53', '6']\n",
"['2018-11-25 20:02:07', '6']\n",
"['2018-11-25 20:03:16', '5']\n",
"['2018-11-25 20:04:08', '5']\n",
"['2018-11-25 20:05:41', '4']\n",
"['2018-11-25 20:06:55', '4']\n",
"['2018-11-25 20:07:57', '4']\n",
"['2018-11-25 20:08:40', '4']\n",
"['2018-11-25 20:11:43', '1']\n",
"['2018-11-25 20:13:01', '0']\n",
"['2018-11-25 20:26:51', '1']\n",
"['2018-11-25 20:27:47', '6']\n",
"['2018-11-25 20:32:03', '6']\n",
"['2018-11-25 20:32:54', '6']\n",
"['2018-11-25 20:33:54', '6']\n",
"['2018-11-25 20:34:55', '6']\n",
"['2018-11-25 20:36:33', '6']\n",
"['2018-11-25 20:38:22', '6']\n",
"['2018-11-25 20:39:47', '6']\n",
"['2018-11-25 20:40:23', '6']\n",
"['2018-11-25 20:41:11', '6']\n",
"['2018-11-25 20:41:38', '8']\n",
"['2018-11-25 20:43:11', '8']\n",
"['2018-11-25 20:44:16', '7']\n",
"['2018-11-25 20:45:35', '7']\n",
"['2018-11-25 20:46:33', '8']\n",
"['2018-11-25 20:47:20', '8']\n",
"['2018-11-25 20:48:47', '8']\n",
"['2018-11-25 20:49:58', '8']\n",
"['2018-11-25 20:50:15', '9']\n",
"['2018-11-25 20:52:17', '8']\n",
"['2018-11-25 20:53:19', '10']\n",
"['2018-11-25 20:56:30', '12']\n",
"['2018-11-25 20:57:20', '11']\n",
"['2018-11-25 21:01:08', '19']\n",
"['2018-11-25 21:04:26', '19']\n",
"['2018-11-25 21:05:13', '19']\n",
"['2018-11-25 21:05:58', '21']\n",
"['2018-11-25 21:07:04', '21']\n",
"['2018-11-25 21:07:52', '21']\n",
"['2018-11-25 21:08:58', '11']\n",
"['2018-11-25 21:09:49', '11']\n",
"['2018-11-25 21:11:40', '11']\n",
"['2018-11-25 21:12:26', '11']\n",
"['2018-11-25 21:13:08', '8']\n",
"['2018-11-25 21:13:49', '7']\n",
"['2018-11-25 21:14:48', '6']\n",
"['2018-11-25 21:16:00', '4']\n",
"['2018-11-25 21:16:38', '2']\n",
"['2018-11-25 21:17:40', '1']\n",
"['2018-11-25 21:18:45', '1']\n",
"['2018-11-25 21:22:47', '1']\n",
"['2018-11-25 21:26:49', '0']\n",
"['2018-11-25 21:30:52', '2']\n",
"['2018-11-25 21:31:42', '2']\n",
"['2018-11-25 21:32:05', '0']\n",
"['2018-11-25 21:32:53', '0']\n",
"['2018-11-25 21:33:28', '0']\n",
"['2018-11-25 21:34:25', '1']\n",
"['2018-11-25 21:35:08', '1']\n",
"['2018-11-25 21:35:41', '1']\n",
"['2018-11-25 21:36:21', '1']\n",
"['2018-11-25 21:38:04', '1']\n",
"['2018-11-25 21:38:21', '1']\n",
"['2018-11-25 21:39:32', '1']\n",
"['2018-11-25 21:40:06', '1']\n",
"['2018-11-25 21:40:23', '1']\n",
"['2018-11-25 21:42:08', '1']\n",
"['2018-11-25 21:43:01', '1']\n",
"['2018-11-25 21:45:21', '10']\n",
"['2018-11-25 21:47:45', '10']\n",
"['2018-11-25 21:48:15', '10']\n",
"['2018-11-25 21:49:27', '11']\n",
"['2018-11-25 21:50:47', '14']\n",
"['2018-11-25 21:52:16', '18']\n",
"['2018-11-25 21:54:02', '18']\n",
"['2018-11-25 21:55:23', '18']\n",
"['2018-11-25 21:56:23', '17']\n",
"['2018-11-25 21:57:12', '16']\n",
"['2018-11-25 21:58:12', '16']\n",
"['2018-11-25 21:58:45', '15']\n",
"['2018-11-25 22:00:30', '6']\n",
"['2018-11-25 22:01:19', '5']\n",
"['2018-11-25 22:02:31', '5']\n",
"['2018-11-25 22:02:47', '4']\n",
"['2018-11-25 22:04:19', '2']\n",
"['2018-11-25 22:04:34', '2']\n",
"['2018-11-25 22:06:35', '2']\n",
"['2018-11-25 22:07:16', '2']\n",
"['2018-11-25 22:08:12', '2']\n",
"['2018-11-25 22:08:50', '2']\n",
"['2018-11-25 22:12:00', '2']\n",
"['2018-11-25 22:13:05', '0']\n",
"['2018-11-25 22:31:21', '3']\n",
"['2018-11-25 22:31:55', '8']\n",
"['2018-11-25 22:35:50', '8']\n",
"['2018-11-25 22:36:29', '8']\n",
"['2018-11-25 22:37:19', '8']\n",
"['2018-11-25 22:38:18', '8']\n",
"['2018-11-25 22:39:44', '8']\n",
"['2018-11-25 22:40:15', '8']\n",
"['2018-11-25 22:41:19', '8']\n",
"['2018-11-25 22:41:44', '8']\n",
"['2018-11-25 22:42:21', '8']\n",
"['2018-11-25 22:42:55', '8']\n",
"['2018-11-25 22:44:21', '8']\n",
"['2018-11-25 22:45:05', '7']\n",
"['2018-11-25 22:45:57', '6']\n",
"['2018-11-25 22:47:55', '6']\n",
"['2018-11-25 22:48:12', '6']\n",
"['2018-11-25 22:48:51', '6']\n",
"['2018-11-25 22:50:17', '10']\n",
"['2018-11-25 22:51:28', '10']\n",
"['2018-11-25 22:52:14', '10']\n",
"['2018-11-25 22:53:50', '9']\n",
"['2018-11-25 22:55:16', '8']\n",
"['2018-11-25 22:55:53', '8']\n",
"['2018-11-25 22:57:03', '0']\n",
"['2018-11-26 06:50:17', '2']\n",
"['2018-11-26 06:50:59', '3']\n",
"['2018-11-26 06:51:50', '4']\n",
"['2018-11-26 06:52:29', '5']\n",
"['2018-11-26 06:53:28', '5']\n",
"['2018-11-26 06:54:15', '6']\n",
"['2018-11-26 06:54:58', '6']\n",
"['2018-11-26 06:55:23', '7']\n",
"['2018-11-26 06:56:27', '7']\n",
"['2018-11-26 06:58:04', '7']\n",
"['2018-11-26 06:58:17', '7']\n",
"['2018-11-26 06:58:46', '8']\n",
"['2018-11-26 06:59:40', '8']\n",
"['2018-11-26 06:59:48', '9']\n",
"['2018-11-26 07:01:03', '9']\n",
"['2018-11-26 07:01:41', '9']\n",
"['2018-11-26 07:02:46', '12']\n",
"['2018-11-26 07:05:26', '12']\n",
"['2018-11-26 07:06:14', '13']\n",
"['2018-11-26 07:07:09', '17']\n",
"['2018-11-26 07:07:55', '16']\n",
"['2018-11-26 07:09:00', '16']\n",
"['2018-11-26 07:09:28', '16']\n",
"['2018-11-26 07:09:59', '18']\n",
"['2018-11-26 07:11:02', '19']\n",
"['2018-11-26 07:12:05', '19']\n",
"['2018-11-26 07:12:38', '19']\n",
"['2018-11-26 07:13:18', '22']\n",
"['2018-11-26 07:16:02', '22']\n",
"['2018-11-26 07:16:35', '22']\n",
"['2018-11-26 07:17:08', '22']\n",
"['2018-11-26 07:17:28', '22']\n",
"['2018-11-26 07:18:26', '22']\n",
"['2018-11-26 07:18:48', '22']\n",
"['2018-11-26 07:20:22', '22']\n",
"['2018-11-26 07:21:06', '22']\n",
"['2018-11-26 07:22:14', '22']\n",
"['2018-11-26 07:22:52', '22']\n",
"['2018-11-26 07:26:24', '13']\n",
"['2018-11-26 07:27:45', '0']\n",
"['2018-11-26 07:49:44', '5']\n",
"['2018-11-26 07:50:29', '8']\n",
"['2018-11-26 07:54:39', '8']\n",
"['2018-11-26 07:55:26', '8']\n",
"['2018-11-26 07:56:24', '8']\n",
"['2018-11-26 07:57:13', '8']\n",
"['2018-11-26 07:58:47', '8']\n",
"['2018-11-26 07:59:08', '10']\n",
"['2018-11-26 08:00:53', '13']\n",
"['2018-11-26 08:01:44', '14']\n",
"['2018-11-26 08:02:46', '15']\n",
"['2018-11-26 08:03:39', '18']\n",
"['2018-11-26 08:04:48', '19']\n",
"['2018-11-26 08:06:20', '19']\n",
"['2018-11-26 08:06:53', '17']\n",
"['2018-11-26 08:08:42', '20']\n",
"['2018-11-26 08:09:49', '20']\n",
"['2018-11-26 08:10:26', '19']\n",
"['2018-11-26 08:11:36', '20']\n",
"['2018-11-26 08:12:54', '18']\n",
"['2018-11-26 08:14:42', '16']\n",
"['2018-11-26 08:15:33', '15']\n",
"['2018-11-26 08:17:01', '14']\n",
"['2018-11-26 08:18:49', '14']\n",
"['2018-11-26 08:20:00', '17']\n",
"['2018-11-26 08:22:59', '18']\n",
"['2018-11-26 08:24:30', '18']\n",
"['2018-11-26 08:25:06', '19']\n",
"['2018-11-26 08:26:11', '19']\n",
"['2018-11-26 08:26:57', '19']\n",
"['2018-11-26 08:27:36', '19']\n",
"['2018-11-26 08:27:51', '17']\n",
"['2018-11-26 08:29:43', '17']\n",
"['2018-11-26 08:30:28', '15']\n",
"['2018-11-26 08:31:35', '10']\n",
"['2018-11-26 08:32:15', '13']\n",
"['2018-11-26 08:33:30', '13']\n",
"['2018-11-26 08:34:20', '8']\n",
"['2018-11-26 08:35:02', '7']\n",
"['2018-11-26 08:36:04', '2']\n",
"['2018-11-26 08:37:20', '2']\n",
"['2018-11-26 08:43:28', '2']\n",
"['2018-11-26 08:49:36', '0']\n",
"['2018-11-26 08:55:45', '8']\n",
"['2018-11-26 08:56:23', '10']\n",
"['2018-11-26 08:57:20', '12']\n",
"['2018-11-26 08:58:04', '15']\n",
"['2018-11-26 08:58:56', '16']\n",
"['2018-11-26 09:00:30', '19']\n",
"['2018-11-26 09:01:09', '20']\n",
"['2018-11-26 09:02:14', '24']\n",
"['2018-11-26 09:03:24', '24']\n",
"['2018-11-26 09:04:59', '27']\n",
"['2018-11-26 09:05:47', '27']\n",
"['2018-11-26 09:06:28', '34']\n",
"['2018-11-26 09:07:52', '36']\n",
"['2018-11-26 09:08:35', '36']\n",
"['2018-11-26 09:10:46', '36']\n",
"['2018-11-26 09:11:28', '35']\n",
"['2018-11-26 09:15:32', '69']\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-26 09:18:39', '70']\n",
"['2018-11-26 09:20:19', '65']\n",
"['2018-11-26 09:22:02', '53']\n",
"['2018-11-26 09:23:51', '46']\n",
"['2018-11-26 09:25:30', '39']\n",
"['2018-11-26 09:26:51', '34']\n",
"['2018-11-26 09:27:56', '24']\n",
"['2018-11-26 09:29:32', '22']\n",
"['2018-11-26 09:30:26', '21']\n",
"['2018-11-26 09:31:51', '20']\n",
"['2018-11-26 09:33:04', '19']\n",
"['2018-11-26 09:36:35', '20']\n",
"['2018-11-26 09:37:48', '20']\n",
"['2018-11-26 09:38:39', '20']\n",
"['2018-11-26 09:38:52', '18']\n",
"['2018-11-26 09:40:02', '15']\n",
"['2018-11-26 09:41:04', '15']\n",
"['2018-11-26 09:42:10', '13']\n",
"['2018-11-26 09:43:11', '13']\n",
"['2018-11-26 09:44:22', '13']\n",
"['2018-11-26 09:44:50', '11']\n",
"['2018-11-26 09:46:47', '11']\n",
"['2018-11-26 09:47:35', '11']\n",
"['2018-11-26 09:47:57', '11']\n",
"['2018-11-26 09:48:29', '10']\n",
"['2018-11-26 09:53:04', '1']\n",
"['2018-11-26 09:54:16', '0']\n",
"['2018-11-26 09:55:42', '5']\n",
"['2018-11-26 09:57:09', '10']\n",
"['2018-11-26 09:58:36', '10']\n",
"['2018-11-26 10:00:03', '10']\n",
"['2018-11-26 10:01:30', '10']\n",
"['2018-11-26 10:02:57', '9']\n",
"['2018-11-26 10:04:24', '9']\n",
"['2018-11-26 10:05:51', '10']\n",
"['2018-11-26 10:07:18', '15']\n",
"['2018-11-26 10:08:45', '15']\n",
"['2018-11-26 10:10:12', '15']\n",
"['2018-11-26 10:11:38', '15']\n",
"['2018-11-26 10:13:05', '16']\n",
"['2018-11-26 10:14:32', '16']\n",
"['2018-11-26 10:15:59', '17']\n",
"['2018-11-26 10:17:26', '15']\n",
"['2018-11-26 10:18:53', '17']\n",
"['2018-11-26 10:20:20', '23']\n",
"['2018-11-26 10:21:47', '22']\n",
"['2018-11-26 10:23:14', '17']\n",
"['2018-11-26 10:24:41', '18']\n",
"['2018-11-26 10:26:08', '18']\n",
"['2018-11-26 10:27:34', '16']\n",
"['2018-11-26 10:29:01', '15']\n",
"['2018-11-26 10:30:28', '16']\n",
"['2018-11-26 10:31:55', '17']\n",
"['2018-11-26 10:33:22', '16']\n",
"['2018-11-26 10:34:49', '16']\n",
"['2018-11-26 10:36:16', '14']\n",
"['2018-11-26 10:37:43', '12']\n",
"['2018-11-26 10:39:10', '9']\n",
"['2018-11-26 10:40:37', '9']\n",
"['2018-11-26 10:42:04', '9']\n",
"['2018-11-26 10:43:30', '7']\n",
"['2018-11-26 10:44:57', '4']\n",
"['2018-11-26 10:46:24', '3']\n",
"['2018-11-26 10:47:51', '3']\n",
"['2018-11-26 10:49:18', '1']\n",
"['2018-11-26 10:50:45', '0']\n",
"['2018-11-26 10:52:12', '0']\n",
"['2018-11-26 10:53:39', '0']\n",
"['2018-11-26 10:55:06', '0']\n",
"['2018-11-26 10:56:33', '0']\n",
"['2018-11-26 10:58:00', '3']\n",
"['2018-11-26 10:58:35', '4']\n",
"['2018-11-26 10:59:31', '4']\n",
"['2018-11-26 10:59:42', '7']\n",
"['2018-11-26 11:00:42', '7']\n",
"['2018-11-26 11:02:02', '9']\n",
"['2018-11-26 11:02:07', '10']\n",
"['2018-11-26 11:03:00', '12']\n",
"['2018-11-26 11:04:10', '12']\n",
"['2018-11-26 11:05:42', '13']\n",
"['2018-11-26 11:06:25', '13']\n",
"['2018-11-26 11:07:10', '13']\n",
"['2018-11-26 11:07:30', '15']\n",
"['2018-11-26 11:08:15', '15']\n",
"['2018-11-26 11:10:13', '18']\n",
"['2018-11-26 11:11:34', '17']\n",
"['2018-11-26 11:15:02', '36']\n",
"['2018-11-26 11:17:40', '37']\n",
"['2018-11-26 11:19:24', '38']\n",
"['2018-11-26 11:21:00', '39']\n",
"['2018-11-26 11:23:03', '38']\n",
"['2018-11-26 11:24:31', '36']\n",
"['2018-11-26 11:25:36', '33']\n",
"['2018-11-26 11:27:28', '28']\n",
"['2018-11-26 11:28:51', '26']\n",
"['2018-11-26 11:29:59', '27']\n",
"['2018-11-26 11:31:39', '30']\n",
"['2018-11-26 11:32:39', '29']\n",
"['2018-11-26 11:34:37', '30']\n",
"['2018-11-26 11:35:27', '29']\n",
"['2018-11-26 11:36:33', '29']\n",
"['2018-11-26 11:36:48', '29']\n",
"['2018-11-26 11:37:59', '28']\n",
"['2018-11-26 11:39:04', '28']\n",
"['2018-11-26 11:40:20', '27']\n",
"['2018-11-26 11:41:20', '26']\n",
"['2018-11-26 11:42:40', '26']\n",
"['2018-11-26 11:43:10', '26']\n",
"['2018-11-26 11:45:08', '25']\n",
"['2018-11-26 11:46:24', '25']\n",
"['2018-11-26 11:46:43', '23']\n",
"['2018-11-26 11:47:45', '23']\n",
"['2018-11-26 11:52:57', '5']\n",
"['2018-11-26 11:54:10', '0']\n",
"['2018-11-26 11:55:37', '10']\n",
"['2018-11-26 11:57:05', '18']\n",
"['2018-11-26 11:58:33', '17']\n",
"['2018-11-26 12:00:01', '17']\n",
"['2018-11-26 12:01:28', '17']\n",
"['2018-11-26 12:02:56', '18']\n",
"['2018-11-26 12:04:24', '18']\n",
"['2018-11-26 12:05:52', '18']\n",
"['2018-11-26 12:07:20', '18']\n",
"['2018-11-26 12:08:47', '17']\n",
"['2018-11-26 12:10:15', '17']\n",
"['2018-11-26 12:11:43', '19']\n",
"['2018-11-26 12:13:11', '17']\n",
"['2018-11-26 12:14:39', '18']\n",
"['2018-11-26 12:16:06', '18']\n",
"['2018-11-26 12:17:34', '16']\n",
"['2018-11-26 12:19:02', '17']\n",
"['2018-11-26 12:20:30', '19']\n",
"['2018-11-26 12:21:58', '18']\n",
"['2018-11-26 12:23:25', '17']\n",
"['2018-11-26 12:24:53', '24']\n",
"['2018-11-26 12:26:21', '27']\n",
"['2018-11-26 12:27:49', '30']\n",
"['2018-11-26 12:29:17', '28']\n",
"['2018-11-26 12:30:44', '18']\n",
"['2018-11-26 12:32:12', '22']\n",
"['2018-11-26 12:33:40', '23']\n",
"['2018-11-26 12:35:08', '21']\n",
"['2018-11-26 12:36:36', '22']\n",
"['2018-11-26 12:38:03', '26']\n",
"['2018-11-26 12:39:31', '27']\n",
"['2018-11-26 12:40:59', '23']\n",
"['2018-11-26 12:42:27', '23']\n",
"['2018-11-26 12:43:55', '21']\n",
"['2018-11-26 12:45:22', '16']\n",
"['2018-11-26 12:46:50', '14']\n",
"['2018-11-26 12:48:18', '14']\n",
"['2018-11-26 12:49:46', '14']\n",
"['2018-11-26 12:51:14', '13']\n",
"['2018-11-26 12:52:41', '10']\n",
"['2018-11-26 12:54:09', '9']\n",
"['2018-11-26 12:55:37', '6']\n",
"['2018-11-26 12:57:05', '0']\n",
"['2018-11-26 12:58:33', '4']\n",
"['2018-11-26 12:59:14', '4']\n",
"['2018-11-26 12:59:34', '4']\n",
"['2018-11-26 13:00:15', '4']\n",
"['2018-11-26 13:00:50', '4']\n",
"['2018-11-26 13:02:04', '6']\n",
"['2018-11-26 13:02:16', '7']\n",
"['2018-11-26 13:02:43', '8']\n",
"['2018-11-26 13:03:48', '8']\n",
"['2018-11-26 13:05:34', '9']\n",
"['2018-11-26 13:06:17', '13']\n",
"['2018-11-26 13:06:55', '13']\n",
"['2018-11-26 13:08:14', '12']\n",
"['2018-11-26 13:08:58', '12']\n",
"['2018-11-26 13:09:42', '15']\n",
"['2018-11-26 13:11:01', '11']\n",
"['2018-11-26 13:15:09', '27']\n",
"['2018-11-26 13:16:57', '28']\n",
"['2018-11-26 13:18:20', '27']\n",
"['2018-11-26 13:19:19', '27']\n",
"['2018-11-26 13:21:33', '36']\n",
"['2018-11-26 13:23:25', '39']\n",
"['2018-11-26 13:25:20', '45']\n",
"['2018-11-26 13:26:30', '43']\n",
"['2018-11-26 13:27:34', '42']\n",
"['2018-11-26 13:28:42', '41']\n",
"['2018-11-26 13:30:14', '41']\n",
"['2018-11-26 13:31:20', '36']\n",
"['2018-11-26 13:32:51', '35']\n",
"['2018-11-26 13:33:49', '35']\n",
"['2018-11-26 13:34:21', '35']\n",
"['2018-11-26 13:34:39', '35']\n",
"['2018-11-26 13:35:22', '30']\n",
"['2018-11-26 13:36:15', '30']\n",
"['2018-11-26 13:37:33', '29']\n",
"['2018-11-26 13:38:38', '29']\n",
"['2018-11-26 13:39:29', '29']\n",
"['2018-11-26 13:40:00', '29']\n",
"['2018-11-26 13:41:31', '27']\n",
"['2018-11-26 13:42:50', '26']\n",
"['2018-11-26 13:43:36', '25']\n",
"['2018-11-26 13:44:48', '18']\n",
"['2018-11-26 13:49:50', '7']\n",
"['2018-11-26 13:51:09', '0']\n",
"['2018-11-26 13:52:50', '20']\n",
"['2018-11-26 13:54:31', '39']\n",
"['2018-11-26 13:56:12', '42']\n",
"['2018-11-26 13:57:54', '44']\n",
"['2018-11-26 13:59:35', '44']\n",
"['2018-11-26 14:01:16', '49']\n",
"['2018-11-26 14:02:57', '54']\n",
"['2018-11-26 14:04:39', '56']\n",
"['2018-11-26 14:06:20', '59']\n",
"['2018-11-26 14:08:01', '59']\n",
"['2018-11-26 14:09:42', '61']\n",
"['2018-11-26 14:11:24', '58']\n",
"['2018-11-26 14:13:05', '58']\n",
"['2018-11-26 14:14:46', '56']\n",
"['2018-11-26 14:16:27', '53']\n",
"['2018-11-26 14:18:09', '78']\n",
"['2018-11-26 14:19:50', '75']\n",
"['2018-11-26 14:21:31', '87']\n",
"['2018-11-26 14:23:12', '82']\n",
"['2018-11-26 14:24:54', '83']\n",
"['2018-11-26 14:26:35', '94']\n",
"['2018-11-26 14:28:16', '99']\n",
"['2018-11-26 14:29:57', '101']\n",
"['2018-11-26 14:31:39', '99']\n",
"['2018-11-26 14:33:20', '129']\n",
"['2018-11-26 14:35:01', '104']\n",
"['2018-11-26 14:36:42', '100']\n",
"['2018-11-26 14:38:24', '94']\n",
"['2018-11-26 14:40:05', '91']\n",
"['2018-11-26 14:41:46', '90']\n",
"['2018-11-26 14:43:27', '85']\n",
"['2018-11-26 14:45:09', '84']\n",
"['2018-11-26 14:46:50', '77']\n",
"['2018-11-26 14:48:31', '55']\n",
"['2018-11-26 14:50:12', '44']\n",
"['2018-11-26 14:51:54', '42']\n",
"['2018-11-26 14:53:35', '41']\n",
"['2018-11-26 14:55:16', '29']\n",
"['2018-11-26 14:56:57', '27']\n",
"['2018-11-26 14:58:39', '20']\n",
"['2018-11-26 15:00:20', '13']\n",
"['2018-11-26 15:02:01', '6']\n",
"['2018-11-26 15:03:42', '0']\n",
"['2018-11-26 15:05:24', '1']\n",
"['2018-11-26 15:07:32', '2']\n",
"['2018-11-26 15:08:16', '5']\n",
"['2018-11-26 15:08:52', '7']\n",
"['2018-11-26 15:09:33', '8']\n",
"['2018-11-26 15:10:38', '9']\n",
"['2018-11-26 15:11:09', '10']\n",
"['2018-11-26 15:11:59', '11']\n",
"['2018-11-26 15:12:59', '12']\n",
"['2018-11-26 15:14:39', '12']\n",
"['2018-11-26 15:14:51', '15']\n",
"['2018-11-26 15:15:21', '15']\n",
"['2018-11-26 15:16:45', '15']\n",
"['2018-11-26 15:16:53', '15']\n",
"['2018-11-26 15:18:26', '12']\n",
"['2018-11-26 15:19:45', '12']\n",
"['2018-11-26 15:21:00', '15']\n",
"['2018-11-26 15:23:37', '16']\n",
"['2018-11-26 15:25:13', '17']\n",
"['2018-11-26 15:27:02', '17']\n",
"['2018-11-26 15:27:40', '24']\n",
"['2018-11-26 15:29:26', '24']\n",
"['2018-11-26 15:30:19', '23']\n",
"['2018-11-26 15:31:37', '20']\n",
"['2018-11-26 15:33:28', '24']\n",
"['2018-11-26 15:34:32', '28']\n",
"['2018-11-26 15:35:34', '30']\n",
"['2018-11-26 15:37:58', '29']\n",
"['2018-11-26 15:40:40', '30']\n",
"['2018-11-26 15:41:23', '30']\n",
"['2018-11-26 15:42:24', '28']\n",
"['2018-11-26 15:42:37', '31']\n",
"['2018-11-26 15:43:42', '30']\n",
"['2018-11-26 15:44:22', '29']\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-26 15:46:06', '31']\n",
"['2018-11-26 15:47:05', '31']\n",
"['2018-11-26 15:48:19', '28']\n",
"['2018-11-26 15:48:52', '22']\n",
"['2018-11-26 15:50:51', '19']\n",
"['2018-11-26 15:52:10', '13']\n",
"['2018-11-26 15:52:58', '8']\n",
"['2018-11-26 15:53:30', '6']\n",
"['2018-11-26 16:02:30', '0']\n",
"['2018-11-26 16:03:46', '0']\n",
"['2018-11-26 16:04:58', '8']\n",
"['2018-11-26 16:06:11', '13']\n",
"['2018-11-26 16:07:24', '16']\n",
"['2018-11-26 16:08:37', '16']\n",
"['2018-11-26 16:09:49', '22']\n",
"['2018-11-26 16:11:02', '22']\n",
"['2018-11-26 16:12:15', '23']\n",
"['2018-11-26 16:13:28', '21']\n",
"['2018-11-26 16:14:40', '21']\n",
"['2018-11-26 16:15:53', '19']\n",
"['2018-11-26 16:17:06', '20']\n",
"['2018-11-26 16:18:19', '23']\n",
"['2018-11-26 16:19:32', '22']\n",
"['2018-11-26 16:20:44', '28']\n",
"['2018-11-26 16:21:57', '28']\n",
"['2018-11-26 16:23:10', '24']\n",
"['2018-11-26 16:24:23', '26']\n",
"['2018-11-26 16:25:35', '28']\n",
"['2018-11-26 16:26:48', '32']\n",
"['2018-11-26 16:28:01', '32']\n",
"['2018-11-26 16:29:14', '31']\n",
"['2018-11-26 16:30:27', '28']\n",
"['2018-11-26 16:31:39', '27']\n",
"['2018-11-26 16:32:52', '30']\n",
"['2018-11-26 16:34:05', '28']\n",
"['2018-11-26 16:35:18', '28']\n",
"['2018-11-26 16:36:30', '26']\n",
"['2018-11-26 16:37:43', '25']\n",
"['2018-11-26 16:38:56', '29']\n",
"['2018-11-26 16:40:09', '25']\n",
"['2018-11-26 16:41:21', '28']\n",
"['2018-11-26 16:42:34', '27']\n",
"['2018-11-26 16:43:47', '27']\n",
"['2018-11-26 16:45:00', '25']\n",
"['2018-11-26 16:46:13', '21']\n",
"['2018-11-26 16:47:25', '22']\n",
"['2018-11-26 16:48:38', '25']\n",
"['2018-11-26 16:49:51', '20']\n",
"['2018-11-26 16:51:04', '17']\n",
"['2018-11-26 16:52:16', '13']\n",
"['2018-11-26 16:53:29', '13']\n",
"['2018-11-26 16:54:42', '0']\n",
"['2018-11-26 16:55:55', '0']\n",
"['2018-11-26 16:57:08', '5']\n",
"['2018-11-26 16:57:57', '7']\n",
"['2018-11-26 16:58:20', '9']\n",
"['2018-11-26 16:59:10', '9']\n",
"['2018-11-26 17:00:07', '10']\n",
"['2018-11-26 17:00:54', '10']\n",
"['2018-11-26 17:01:35', '8']\n",
"['2018-11-26 17:02:37', '12']\n",
"['2018-11-26 17:03:46', '12']\n",
"['2018-11-26 17:06:03', '17']\n",
"['2018-11-26 17:06:50', '17']\n",
"['2018-11-26 17:07:29', '17']\n",
"['2018-11-26 17:08:37', '16']\n",
"['2018-11-26 17:08:47', '15']\n",
"['2018-11-26 17:10:09', '16']\n",
"['2018-11-26 17:11:10', '14']\n",
"['2018-11-26 17:15:09', '16']\n",
"['2018-11-26 17:18:00', '16']\n",
"['2018-11-26 17:20:10', '17']\n",
"['2018-11-26 17:22:06', '18']\n",
"['2018-11-26 17:23:05', '20']\n",
"['2018-11-26 17:24:21', '20']\n",
"['2018-11-26 17:25:44', '17']\n",
"['2018-11-26 17:27:06', '18']\n",
"['2018-11-26 17:28:14', '18']\n",
"['2018-11-26 17:29:02', '18']\n",
"['2018-11-26 17:30:23', '14']\n",
"['2018-11-26 17:31:20', '15']\n",
"['2018-11-26 17:33:47', '17']\n",
"['2018-11-26 17:34:50', '17']\n",
"['2018-11-26 17:35:17', '21']\n",
"['2018-11-26 17:36:02', '17']\n",
"['2018-11-26 17:37:19', '18']\n",
"['2018-11-26 17:38:40', '11']\n",
"['2018-11-26 17:40:04', '9']\n",
"['2018-11-26 17:41:09', '7']\n",
"['2018-11-26 17:42:02', '7']\n",
"['2018-11-26 17:42:34', '7']\n",
"['2018-11-26 17:44:39', '7']\n",
"['2018-11-26 17:45:37', '7']\n",
"['2018-11-26 17:45:57', '7']\n",
"['2018-11-26 17:47:08', '7']\n",
"['2018-11-26 17:52:14', '4']\n",
"['2018-11-26 17:53:27', '0']\n",
"['2018-11-26 17:54:56', '4']\n",
"['2018-11-26 17:56:26', '7']\n",
"['2018-11-26 17:57:56', '7']\n",
"['2018-11-26 17:59:26', '9']\n",
"['2018-11-26 18:00:56', '13']\n",
"['2018-11-26 18:02:26', '11']\n",
"['2018-11-26 18:03:56', '14']\n",
"['2018-11-26 18:05:26', '11']\n",
"['2018-11-26 18:06:56', '15']\n",
"['2018-11-26 18:08:26', '15']\n",
"['2018-11-26 18:09:56', '16']\n",
"['2018-11-26 18:11:25', '16']\n",
"['2018-11-26 18:12:55', '16']\n",
"['2018-11-26 18:14:25', '18']\n",
"['2018-11-26 18:15:55', '19']\n",
"['2018-11-26 18:17:25', '14']\n",
"['2018-11-26 18:18:55', '19']\n",
"['2018-11-26 18:20:25', '13']\n",
"['2018-11-26 18:21:55', '11']\n",
"['2018-11-26 18:23:25', '12']\n",
"['2018-11-26 18:24:55', '13']\n",
"['2018-11-26 18:26:25', '13']\n",
"['2018-11-26 18:27:54', '12']\n",
"['2018-11-26 18:29:24', '12']\n",
"['2018-11-26 18:30:54', '13']\n",
"['2018-11-26 18:32:24', '13']\n",
"['2018-11-26 18:33:54', '15']\n",
"['2018-11-26 18:35:24', '12']\n",
"['2018-11-26 18:36:54', '15']\n",
"['2018-11-26 18:38:24', '15']\n",
"['2018-11-26 18:39:54', '13']\n",
"['2018-11-26 18:41:24', '14']\n",
"['2018-11-26 18:42:54', '13']\n",
"['2018-11-26 18:44:23', '16']\n",
"['2018-11-26 18:45:53', '14']\n",
"['2018-11-26 18:47:23', '14']\n",
"['2018-11-26 18:48:53', '14']\n",
"['2018-11-26 18:50:23', '14']\n",
"['2018-11-26 18:51:53', '11']\n",
"['2018-11-26 18:53:23', '8']\n",
"['2018-11-26 18:54:53', '3']\n",
"['2018-11-26 18:56:23', '0']\n",
"['2018-11-26 18:57:53', '0']\n",
"['2018-11-26 18:59:23', '6']\n",
"['2018-11-26 19:00:10', '11']\n",
"['2018-11-26 19:00:33', '14']\n",
"['2018-11-26 19:01:15', '14']\n",
"['2018-11-26 19:01:57', '18']\n",
"['2018-11-26 19:03:11', '20']\n",
"['2018-11-26 19:03:58', '19']\n",
"['2018-11-26 19:04:25', '20']\n",
"['2018-11-26 19:05:06', '20']\n",
"['2018-11-26 19:06:49', '24']\n",
"['2018-11-26 19:07:33', '26']\n",
"['2018-11-26 19:08:05', '22']\n",
"['2018-11-26 19:09:27', '25']\n",
"['2018-11-26 19:09:36', '25']\n",
"['2018-11-26 19:11:13', '26']\n",
"['2018-11-26 19:12:03', '26']\n",
"['2018-11-26 19:15:31', '22']\n",
"['2018-11-26 19:17:17', '23']\n",
"['2018-11-26 19:19:13', '21']\n",
"['2018-11-26 19:21:18', '21']\n",
"['2018-11-26 19:21:31', '18']\n",
"['2018-11-26 19:23:06', '17']\n",
"['2018-11-26 19:24:07', '16']\n",
"['2018-11-26 19:25:17', '14']\n",
"['2018-11-26 19:26:36', '13']\n",
"['2018-11-26 19:27:41', '12']\n",
"['2018-11-26 19:28:29', '10']\n",
"['2018-11-26 19:29:23', '11']\n",
"['2018-11-26 19:32:40', '12']\n",
"['2018-11-26 19:34:06', '12']\n",
"['2018-11-26 19:35:15', '14']\n",
"['2018-11-26 19:35:33', '12']\n",
"['2018-11-26 19:36:35', '15']\n",
"['2018-11-26 19:37:17', '15']\n",
"['2018-11-26 19:38:59', '16']\n",
"['2018-11-26 19:40:02', '13']\n",
"['2018-11-26 19:40:51', '13']\n",
"['2018-11-26 19:41:22', '13']\n",
"['2018-11-26 19:43:21', '13']\n",
"['2018-11-26 19:44:19', '6']\n",
"['2018-11-26 19:44:40', '6']\n",
"['2018-11-26 19:45:54', '6']\n",
"['2018-11-26 19:50:52', '0']\n",
"['2018-11-26 19:52:19', '0']\n",
"['2018-11-26 19:59:43', '11']\n",
"['2018-11-26 20:00:28', '18']\n",
"['2018-11-26 20:04:16', '24']\n",
"['2018-11-26 20:05:02', '24']\n",
"['2018-11-26 20:06:04', '29']\n",
"['2018-11-26 20:06:53', '34']\n",
"['2018-11-26 20:08:30', '39']\n",
"['2018-11-26 20:09:37', '43']\n",
"['2018-11-26 20:11:33', '46']\n",
"['2018-11-26 20:12:05', '42']\n",
"['2018-11-26 20:12:47', '42']\n",
"['2018-11-26 20:13:46', '42']\n",
"['2018-11-26 20:15:44', '41']\n",
"['2018-11-26 20:16:39', '43']\n",
"['2018-11-26 20:18:01', '43']\n",
"['2018-11-26 20:19:12', '46']\n",
"['2018-11-26 20:20:41', '51']\n",
"['2018-11-26 20:21:09', '52']\n",
"['2018-11-26 20:22:25', '54']\n",
"['2018-11-26 20:24:21', '48']\n",
"['2018-11-26 20:26:15', '50']\n",
"['2018-11-26 20:28:00', '51']\n",
"['2018-11-26 20:28:59', '51']\n",
"['2018-11-26 20:29:52', '55']\n",
"['2018-11-26 20:32:26', '47']\n",
"['2018-11-26 20:34:49', '44']\n",
"['2018-11-26 20:35:48', '44']\n",
"['2018-11-26 20:37:18', '44']\n",
"['2018-11-26 20:38:23', '46']\n",
"['2018-11-26 20:39:22', '41']\n",
"['2018-11-26 20:40:24', '43']\n",
"['2018-11-26 20:40:39', '34']\n",
"['2018-11-26 20:42:20', '33']\n",
"['2018-11-26 20:43:03', '28']\n",
"['2018-11-26 20:44:09', '31']\n",
"['2018-11-26 20:44:56', '29']\n",
"['2018-11-26 20:45:31', '29']\n",
"['2018-11-26 20:46:20', '23']\n",
"['2018-11-26 20:47:01', '18']\n",
"['2018-11-26 20:47:56', '10']\n",
"['2018-11-26 20:48:50', '0']\n",
"['2018-11-26 20:52:17', '0']\n",
"['2018-11-26 20:55:44', '0']\n",
"['2018-11-26 20:59:12', '6']\n",
"['2018-11-26 20:59:45', '7']\n",
"['2018-11-26 21:00:43', '9']\n",
"['2018-11-26 21:00:52', '9']\n",
"['2018-11-26 21:01:51', '12']\n",
"['2018-11-26 21:02:30', '12']\n",
"['2018-11-26 21:03:13', '14']\n",
"['2018-11-26 21:03:40', '16']\n",
"['2018-11-26 21:04:50', '16']\n",
"['2018-11-26 21:06:32', '19']\n",
"['2018-11-26 21:07:19', '19']\n",
"['2018-11-26 21:07:53', '21']\n",
"['2018-11-26 21:08:47', '21']\n",
"['2018-11-26 21:09:21', '21']\n",
"['2018-11-26 21:10:30', '20']\n",
"['2018-11-26 21:11:45', '20']\n",
"['2018-11-26 21:15:45', '25']\n",
"['2018-11-26 21:17:47', '23']\n",
"['2018-11-26 21:20:06', '16']\n",
"['2018-11-26 21:21:41', '18']\n",
"['2018-11-26 21:22:04', '16']\n",
"['2018-11-26 21:23:37', '17']\n",
"['2018-11-26 21:24:05', '17']\n",
"['2018-11-26 21:25:05', '15']\n",
"['2018-11-26 21:26:50', '16']\n",
"['2018-11-26 21:27:35', '16']\n",
"['2018-11-26 21:28:47', '15']\n",
"['2018-11-26 21:30:45', '17']\n",
"['2018-11-26 21:31:34', '14']\n",
"['2018-11-26 21:32:35', '16']\n",
"['2018-11-26 21:33:03', '21']\n",
"['2018-11-26 21:33:20', '17']\n",
"['2018-11-26 21:33:55', '17']\n",
"['2018-11-26 21:34:41', '17']\n",
"['2018-11-26 21:35:49', '17']\n",
"['2018-11-26 21:36:51', '16']\n",
"['2018-11-26 21:37:38', '14']\n",
"['2018-11-26 21:38:08', '11']\n",
"['2018-11-26 21:41:30', '11']\n",
"['2018-11-26 21:42:58', '0']\n",
"['2018-11-26 21:45:55', '4']\n",
"['2018-11-26 21:46:29', '9']\n",
"['2018-11-26 21:50:25', '9']\n",
"['2018-11-26 21:51:11', '11']\n",
"['2018-11-26 21:52:07', '11']\n",
"['2018-11-26 21:52:48', '14']\n",
"['2018-11-26 21:54:09', '14']\n",
"['2018-11-26 21:54:32', '17']\n",
"['2018-11-26 21:55:25', '17']\n",
"['2018-11-26 21:56:19', '21']\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-26 21:56:55', '22']\n",
"['2018-11-26 21:57:18', '22']\n",
"['2018-11-26 21:57:59', '26']\n",
"['2018-11-26 21:58:57', '23']\n",
"['2018-11-26 21:59:58', '23']\n",
"['2018-11-26 22:01:11', '22']\n",
"['2018-11-26 22:01:28', '24']\n",
"['2018-11-26 22:01:56', '22']\n",
"['2018-11-26 22:02:46', '18']\n",
"['2018-11-26 22:03:29', '18']\n",
"['2018-11-26 22:05:02', '15']\n",
"['2018-11-26 22:05:49', '15']\n",
"['2018-11-26 22:07:44', '10']\n",
"['2018-11-26 22:08:22', '10']\n",
"['2018-11-26 22:10:44', '0']\n",
"['2018-11-22 07:00:05', '1']\n",
"['2018-11-22 07:00:45', '1']\n",
"['2018-11-22 07:01:57', '1']\n",
"['2018-11-22 07:02:54', '1']\n",
"['2018-11-22 07:03:47', '2']\n",
"['2018-11-22 07:05:11', '5']\n",
"['2018-11-22 07:05:29', '5']\n",
"['2018-11-22 07:05:57', '6']\n",
"['2018-11-22 07:06:51', '8']\n",
"['2018-11-22 07:07:43', '7']\n",
"['2018-11-22 07:08:47', '8']\n",
"['2018-11-22 07:09:31', '7']\n",
"['2018-11-22 07:10:57', '7']\n",
"['2018-11-22 07:11:29', '7']\n",
"['2018-11-22 07:12:15', '0']\n",
"['2018-11-22 07:16:08', '2']\n",
"['2018-11-22 07:18:14', '2']\n",
"['2018-11-22 07:18:57', '2']\n",
"['2018-11-22 07:19:40', '2']\n",
"['2018-11-22 07:20:08', '2']\n",
"['2018-11-22 07:20:42', '3']\n",
"['2018-11-22 07:21:48', '3']\n",
"['2018-11-22 07:22:24', '2']\n",
"['2018-11-22 07:23:53', '2']\n",
"['2018-11-22 07:24:58', '0']\n",
"['2018-11-22 07:26:05', '0']\n",
"['2018-11-22 07:26:59', '0']\n",
"['2018-11-22 07:28:43', '0']\n",
"['2018-11-22 07:29:59', '0']\n",
"['2018-11-22 07:30:36', '0']\n",
"['2018-11-22 07:32:20', '0']\n",
"['2018-11-22 07:34:06', '0']\n",
"['2018-11-22 07:35:00', '0']\n",
"['2018-11-22 07:35:54', '0']\n",
"['2018-11-22 07:36:48', '0']\n",
"['2018-11-22 07:37:42', '1']\n",
"['2018-11-22 07:38:24', '1']\n",
"['2018-11-22 07:38:53', '0']\n",
"['2018-11-22 07:45:09', '1']\n",
"['2018-11-22 07:45:25', '1']\n",
"['2018-11-22 07:47:13', '1']\n",
"['2018-11-22 07:49:32', '2']\n",
"['2018-11-22 07:50:46', '2']\n",
"['2018-11-22 07:51:12', '2']\n",
"['2018-11-22 07:52:08', '3']\n",
"['2018-11-22 07:53:31', '5']\n",
"['2018-11-22 07:54:23', '10']\n",
"['2018-11-22 07:55:31', '10']\n",
"['2018-11-22 07:56:19', '10']\n",
"['2018-11-22 07:56:52', '10']\n",
"['2018-11-22 07:57:45', '10']\n",
"['2018-11-22 07:58:28', '9']\n",
"['2018-11-22 08:00:55', '9']\n",
"['2018-11-22 08:01:18', '9']\n",
"['2018-11-22 08:03:14', '9']\n",
"['2018-11-22 08:03:36', '9']\n",
"['2018-11-22 08:05:28', '0']\n",
"['2018-11-22 08:11:04', '15']\n",
"['2018-11-22 08:14:52', '13']\n",
"['2018-11-22 08:15:05', '13']\n",
"['2018-11-22 08:16:09', '11']\n",
"['2018-11-22 08:17:13', '11']\n",
"['2018-11-22 08:18:17', '11']\n",
"['2018-11-22 08:19:30', '11']\n",
"['2018-11-22 08:22:13', '11']\n",
"['2018-11-22 08:23:14', '7']\n",
"['2018-11-22 08:24:16', '4']\n",
"['2018-11-22 08:25:18', '2']\n",
"['2018-11-22 08:26:20', '1']\n",
"['2018-11-22 08:27:20', '1']\n",
"['2018-11-22 08:28:40', '1']\n",
"['2018-11-22 08:29:37', '1']\n",
"['2018-11-22 08:30:34', '1']\n",
"['2018-11-22 08:31:31', '1']\n",
"['2018-11-22 08:32:29', '5']\n",
"['2018-11-22 08:33:34', '6']\n",
"['2018-11-22 08:35:47', '6']\n",
"['2018-11-22 08:36:23', '6']\n",
"['2018-11-22 08:36:31', '7']\n",
"['2018-11-22 08:37:22', '0']\n",
"['2018-11-22 08:38:53', '17']\n",
"['2018-11-22 08:40:24', '25']\n",
"['2018-11-22 08:41:55', '27']\n",
"['2018-11-22 08:43:27', '28']\n",
"['2018-11-22 08:44:58', '42']\n",
"['2018-11-22 08:46:29', '42']\n",
"['2018-11-22 08:48:01', '41']\n",
"['2018-11-22 08:49:32', '45']\n",
"['2018-11-22 08:51:03', '52']\n",
"['2018-11-22 08:52:35', '36']\n",
"['2018-11-22 08:54:06', '35']\n",
"['2018-11-22 08:55:37', '36']\n",
"['2018-11-22 08:57:08', '25']\n",
"['2018-11-22 08:58:40', '23']\n",
"['2018-11-22 09:00:11', '13']\n",
"['2018-11-22 09:01:42', '5']\n",
"['2018-11-22 09:03:14', '5']\n",
"['2018-11-22 09:04:45', '5']\n",
"['2018-11-22 09:06:16', '0']\n",
"['2018-11-22 09:07:48', '18']\n",
"['2018-11-22 09:12:29', '26']\n",
"['2018-11-22 09:23:47', '20']\n",
"['2018-11-22 09:24:18', '20']\n",
"['2018-11-22 09:24:50', '17']\n",
"['2018-11-22 09:25:21', '13']\n",
"['2018-11-22 09:25:53', '9']\n",
"['2018-11-22 09:26:24', '6']\n",
"['2018-11-22 09:26:56', '4']\n",
"['2018-11-22 09:27:27', '3']\n",
"['2018-11-22 09:27:59', '3']\n",
"['2018-11-22 09:28:30', '3']\n",
"['2018-11-22 09:29:02', '2']\n",
"['2018-11-22 09:29:34', '1']\n",
"['2018-11-22 09:30:06', '1']\n",
"['2018-11-22 09:31:17', '1']\n",
"['2018-11-22 09:32:28', '0']\n",
"['2018-11-22 09:33:22', '0']\n",
"['2018-11-22 09:34:06', '0']\n",
"['2018-11-22 09:36:00', '0']\n",
"['2018-11-22 09:37:55', '0']\n",
"['2018-11-22 09:39:49', '0']\n",
"['2018-11-22 09:41:44', '0']\n",
"['2018-11-22 09:43:39', '0']\n",
"['2018-11-22 09:45:15', '1']\n",
"['2018-11-22 09:46:51', '2']\n",
"['2018-11-22 09:47:56', '2']\n",
"['2018-11-22 09:49:02', '3']\n",
"['2018-11-22 09:50:07', '4']\n",
"['2018-11-22 09:51:13', '7']\n",
"['2018-11-22 09:55:01', '16']\n",
"['2018-11-22 09:58:49', '18']\n",
"['2018-11-22 10:02:38', '26']\n",
"['2018-11-22 10:06:26', '29']\n",
"['2018-11-22 10:10:15', '29']\n",
"['2018-11-22 10:14:03', '39']\n",
"['2018-11-22 10:17:52', '35']\n",
"['2018-11-22 10:17:59', '32']\n",
"['2018-11-22 10:18:07', '33']\n",
"['2018-11-22 10:18:15', '33']\n",
"['2018-11-22 10:18:23', '33']\n",
"['2018-11-22 10:18:30', '0']\n",
"['2018-11-22 10:18:38', '18']\n",
"['2018-11-22 10:18:46', '18']\n",
"['2018-11-22 10:18:54', '17']\n",
"['2018-11-22 10:19:01', '14']\n",
"['2018-11-22 10:19:09', '14']\n",
"['2018-11-22 10:19:17', '12']\n",
"['2018-11-22 10:19:25', '9']\n",
"['2018-11-22 10:19:33', '7']\n",
"['2018-11-22 10:20:57', '6']\n",
"['2018-11-22 10:22:47', '4']\n",
"['2018-11-22 10:23:34', '2']\n",
"['2018-11-22 10:24:45', '2']\n",
"['2018-11-22 10:26:16', '2']\n",
"['2018-11-22 10:27:48', '2']\n",
"['2018-11-22 10:29:20', '2']\n",
"['2018-11-22 10:30:52', '2']\n",
"['2018-11-22 10:32:24', '1']\n",
"['2018-11-22 10:33:56', '0']\n",
"['2018-11-22 10:35:27', '0']\n",
"['2018-11-22 10:36:59', '0']\n",
"['2018-11-22 10:38:31', '3']\n",
"['2018-11-22 10:40:03', '4']\n",
"['2018-11-22 10:41:35', '0']\n",
"['2018-11-22 10:43:07', '7']\n",
"['2018-11-22 10:44:38', '8']\n",
"['2018-11-22 10:46:10', '8']\n",
"['2018-11-22 10:47:42', '8']\n",
"['2018-11-22 10:49:14', '9']\n",
"['2018-11-22 10:50:46', '11']\n",
"['2018-11-22 10:52:18', '11']\n",
"['2018-11-22 10:53:49', '13']\n",
"['2018-11-22 10:55:21', '16']\n",
"['2018-11-22 10:56:53', '16']\n",
"['2018-11-22 10:58:25', '15']\n",
"['2018-11-22 10:59:57', '14']\n",
"['2018-11-22 11:01:29', '12']\n",
"['2018-11-22 11:03:00', '12']\n",
"['2018-11-22 11:04:32', '8']\n",
"['2018-11-22 11:06:04', '9']\n",
"['2018-11-22 11:07:36', '8']\n",
"['2018-11-22 11:09:08', '8']\n",
"['2018-11-22 11:10:40', '0']\n",
"['2018-11-22 11:12:12', '13']\n",
"['2018-11-22 11:13:11', '15']\n",
"['2018-11-22 11:15:11', '17']\n",
"['2018-11-22 11:16:45', '17']\n",
"['2018-11-22 11:17:49', '16']\n",
"['2018-11-22 11:19:19', '15']\n",
"['2018-11-22 11:20:23', '16']\n",
"['2018-11-22 11:21:50', '13']\n",
"['2018-11-22 11:23:24', '10']\n",
"['2018-11-22 11:24:57', '4']\n",
"['2018-11-22 11:25:19', '4']\n",
"['2018-11-22 11:26:22', '5']\n",
"['2018-11-22 11:27:59', '5']\n",
"['2018-11-22 11:28:56', '6']\n",
"['2018-11-22 11:30:06', '6']\n",
"['2018-11-22 11:31:17', '6']\n",
"['2018-11-22 11:32:25', '2']\n",
"['2018-11-22 11:33:22', '2']\n",
"['2018-11-22 11:34:20', '1']\n",
"['2018-11-22 11:35:17', '1']\n",
"['2018-11-22 11:36:15', '1']\n",
"['2018-11-22 11:36:46', '1']\n",
"['2018-11-22 11:37:11', '0']\n",
"['2018-11-22 11:43:52', '3']\n",
"['2018-11-22 11:44:04', '4']\n",
"['2018-11-22 11:45:41', '4']\n",
"['2018-11-22 11:47:26', '4']\n",
"['2018-11-22 11:48:29', '4']\n",
"['2018-11-22 11:49:05', '4']\n",
"['2018-11-22 11:50:01', '5']\n",
"['2018-11-22 11:51:41', '10']\n",
"['2018-11-22 11:53:12', '10']\n",
"['2018-11-22 11:54:22', '10']\n",
"['2018-11-22 11:54:43', '10']\n",
"['2018-11-22 11:56:25', '13']\n",
"['2018-11-22 11:57:49', '11']\n",
"['2018-11-22 11:59:07', '6']\n",
"['2018-11-22 12:01:19', '3']\n",
"['2018-11-22 12:03:39', '3']\n",
"['2018-11-22 12:06:34', '3']\n",
"['2018-11-22 12:07:39', '3']\n",
"['2018-11-22 12:08:23', '0']\n",
"['2018-11-22 12:11:17', '2']\n",
"['2018-11-22 12:12:33', '2']\n",
"['2018-11-22 12:14:39', '3']\n",
"['2018-11-22 12:18:05', '2']\n",
"['2018-11-22 12:18:24', '3']\n",
"['2018-11-22 12:20:27', '5']\n",
"['2018-11-22 12:21:58', '5']\n",
"['2018-11-22 12:22:39', '5']\n",
"['2018-11-22 12:23:06', '5']\n",
"['2018-11-22 12:24:55', '2']\n",
"['2018-11-22 12:25:49', '1']\n",
"['2018-11-22 12:27:00', '0']\n",
"['2018-11-22 12:28:42', '0']\n",
"['2018-11-22 12:29:41', '0']\n",
"['2018-11-22 12:30:16', '0']\n",
"['2018-11-22 12:31:35', '0']\n",
"['2018-11-22 12:32:57', '0']\n",
"['2018-11-22 12:33:39', '0']\n",
"['2018-11-22 12:34:21', '0']\n",
"['2018-11-22 12:35:03', '0']\n",
"['2018-11-22 12:35:45', '0']\n",
"['2018-11-22 12:36:22', '0']\n",
"['2018-11-22 12:36:46', '0']\n",
"['2018-11-22 12:43:52', '1']\n",
"['2018-11-22 12:44:05', '2']\n",
"['2018-11-22 12:45:41', '2']\n",
"['2018-11-22 12:47:26', '2']\n",
"['2018-11-22 12:48:07', '4']\n",
"['2018-11-22 12:49:18', '4']\n",
"['2018-11-22 12:50:25', '4']\n",
"['2018-11-22 12:51:33', '4']\n",
"['2018-11-22 12:51:56', '5']\n",
"['2018-11-22 12:53:59', '5']\n",
"['2018-11-22 12:54:12', '6']\n",
"['2018-11-22 12:56:12', '7']\n",
"['2018-11-22 12:58:06', '7']\n",
"['2018-11-22 13:00:13', '7']\n",
"['2018-11-22 13:02:54', '6']\n",
"['2018-11-22 13:03:57', '6']\n",
"['2018-11-22 13:06:11', '5']\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-22 13:06:55', '4']\n",
"['2018-11-22 13:08:05', '0']\n",
"['2018-11-22 13:12:22', '17']\n",
"['2018-11-22 13:13:50', '19']\n",
"['2018-11-22 13:16:14', '20']\n",
"['2018-11-22 13:17:23', '20']\n",
"['2018-11-22 13:19:37', '22']\n",
"['2018-11-22 13:20:47', '17']\n",
"['2018-11-22 13:22:11', '18']\n",
"['2018-11-22 13:23:25', '9']\n",
"['2018-11-22 13:24:37', '6']\n",
"['2018-11-22 13:26:29', '3']\n",
"['2018-11-22 13:27:16', '2']\n",
"['2018-11-22 13:28:18', '1']\n",
"['2018-11-22 13:30:00', '1']\n",
"['2018-11-22 13:31:01', '1']\n",
"['2018-11-22 13:31:34', '1']\n",
"['2018-11-22 13:32:37', '1']\n",
"['2018-11-22 13:33:28', '0']\n",
"['2018-11-22 13:34:18', '0']\n",
"['2018-11-22 13:35:09', '0']\n",
"['2018-11-22 13:36:00', '0']\n",
"['2018-11-22 13:36:51', '0']\n",
"['2018-11-22 13:37:32', '0']\n",
"['2018-11-22 13:38:03', '0']\n",
"['2018-11-22 13:43:14', '1']\n",
"['2018-11-22 13:43:25', '2']\n",
"['2018-11-22 13:44:57', '2']\n",
"['2018-11-22 13:46:39', '2']\n",
"['2018-11-22 13:47:29', '2']\n",
"['2018-11-22 13:48:01', '2']\n",
"['2018-11-22 13:49:02', '2']\n",
"['2018-11-22 13:49:45', '3']\n",
"['2018-11-22 13:50:28', '4']\n",
"['2018-11-22 13:51:39', '3']\n",
"['2018-11-22 13:52:40', '3']\n",
"['2018-11-22 13:53:33', '3']\n",
"['2018-11-22 13:54:19', '3']\n",
"['2018-11-22 13:55:28', '7']\n",
"['2018-11-22 13:57:18', '8']\n",
"['2018-11-22 13:59:14', '6']\n",
"['2018-11-22 14:01:58', '6']\n",
"['2018-11-22 14:03:30', '6']\n",
"['2018-11-22 14:04:15', '0']\n",
"['2018-11-22 14:08:26', '21']\n",
"['2018-11-22 14:13:12', '22']\n",
"['2018-11-22 14:15:39', '24']\n",
"['2018-11-22 14:18:44', '24']\n",
"['2018-11-22 14:19:09', '25']\n",
"['2018-11-22 14:20:40', '28']\n",
"['2018-11-22 14:21:49', '27']\n",
"['2018-11-22 14:23:46', '22']\n",
"['2018-11-22 14:25:01', '17']\n",
"['2018-11-22 14:26:45', '14']\n",
"['2018-11-22 14:27:34', '8']\n",
"['2018-11-22 14:28:47', '9']\n",
"['2018-11-22 14:30:35', '6']\n",
"['2018-11-22 14:31:45', '7']\n",
"['2018-11-22 14:32:48', '7']\n",
"['2018-11-22 14:34:07', '7']\n",
"['2018-11-22 14:35:09', '3']\n",
"['2018-11-22 14:36:06', '2']\n",
"['2018-11-22 14:37:04', '2']\n",
"['2018-11-22 14:38:02', '2']\n",
"['2018-11-22 14:39:00', '0']\n",
"['2018-11-22 14:39:58', '0']\n",
"['2018-11-22 14:40:56', '0']\n",
"['2018-11-22 14:41:54', '0']\n",
"['2018-11-22 14:42:05', '0']\n",
"['2018-11-22 14:43:30', '0']\n",
"['2018-11-22 14:45:12', '0']\n",
"['2018-11-22 14:45:57', '0']\n",
"['2018-11-22 14:47:01', '1']\n",
"['2018-11-22 14:47:57', '4']\n",
"['2018-11-22 14:49:30', '6']\n",
"['2018-11-22 14:50:52', '6']\n",
"['2018-11-22 14:51:37', '7']\n",
"['2018-11-22 14:52:29', '8']\n",
"['2018-11-22 14:53:49', '12']\n",
"['2018-11-22 14:55:16', '21']\n",
"['2018-11-22 14:56:20', '20']\n",
"['2018-11-22 14:58:12', '23']\n",
"['2018-11-22 14:59:03', '25']\n",
"['2018-11-22 15:01:15', '24']\n",
"['2018-11-22 15:02:04', '24']\n",
"['2018-11-22 15:03:49', '0']\n",
"['2018-11-22 15:11:02', '13']\n",
"['2018-11-22 15:17:38', '13']\n",
"['2018-11-22 15:19:10', '15']\n",
"['2018-11-22 15:21:25', '16']\n",
"['2018-11-22 15:22:22', '20']\n",
"['2018-11-22 15:23:54', '21']\n",
"['2018-11-22 15:25:31', '25']\n",
"['2018-11-22 15:27:36', '17']\n",
"['2018-11-22 15:29:14', '15']\n",
"['2018-11-22 15:32:19', '16']\n",
"['2018-11-22 15:33:08', '13']\n",
"['2018-11-22 15:34:26', '13']\n",
"['2018-11-22 15:35:34', '12']\n",
"['2018-11-22 15:36:34', '9']\n",
"['2018-11-22 15:37:44', '9']\n",
"['2018-11-22 15:38:59', '8']\n",
"['2018-11-22 15:40:32', '2']\n",
"['2018-11-22 15:41:33', '0']\n",
"['2018-11-22 15:42:35', '0']\n",
"['2018-11-22 15:43:37', '0']\n",
"['2018-11-22 15:44:39', '0']\n",
"['2018-11-22 15:45:41', '0']\n",
"['2018-11-22 15:46:43', '0']\n",
"['2018-11-22 15:47:45', '0']\n",
"['2018-11-22 15:47:58', '0']\n",
"['2018-11-22 15:49:18', '0']\n",
"['2018-11-22 15:51:00', '0']\n",
"['2018-11-22 15:51:39', '1']\n",
"['2018-11-22 15:53:02', '1']\n",
"['2018-11-22 15:54:02', '1']\n",
"['2018-11-22 15:54:52', '2']\n",
"['2018-11-22 15:55:47', '3']\n",
"['2018-11-22 15:57:27', '7']\n",
"['2018-11-22 15:58:21', '10']\n",
"['2018-11-22 15:59:52', '13']\n",
"['2018-11-22 16:01:41', '11']\n",
"['2018-11-22 16:03:34', '16']\n",
"['2018-11-22 16:04:51', '13']\n",
"['2018-11-22 16:06:35', '13']\n",
"['2018-11-22 16:07:20', '11']\n",
"['2018-11-22 16:07:33', '8']\n",
"['2018-11-22 16:09:34', '0']\n",
"['2018-11-22 16:11:25', '22']\n",
"['2018-11-22 16:12:29', '22']\n",
"['2018-11-22 16:13:01', '22']\n",
"['2018-11-22 16:15:13', '22']\n",
"['2018-11-22 16:16:06', '13']\n",
"['2018-11-22 16:17:57', '12']\n",
"['2018-11-22 16:19:39', '11']\n",
"['2018-11-22 16:20:54', '7']\n",
"['2018-11-22 16:22:48', '7']\n",
"['2018-11-22 16:23:46', '3']\n",
"['2018-11-22 16:24:31', '2']\n",
"['2018-11-22 16:25:41', '2']\n",
"['2018-11-22 16:26:57', '2']\n",
"['2018-11-22 16:27:59', '2']\n",
"['2018-11-22 16:28:29', '2']\n",
"['2018-11-22 16:29:47', '2']\n",
"['2018-11-22 16:31:14', '2']\n",
"['2018-11-22 16:32:14', '1']\n",
"['2018-11-22 16:33:14', '0']\n",
"['2018-11-22 16:34:14', '0']\n",
"['2018-11-22 16:35:15', '0']\n",
"['2018-11-22 16:35:55', '0']\n",
"['2018-11-22 16:36:53', '0']\n",
"['2018-11-22 16:37:51', '1']\n",
"['2018-11-22 16:38:49', '2']\n",
"['2018-11-22 16:39:47', '2']\n",
"['2018-11-22 16:40:45', '2']\n",
"['2018-11-22 16:41:43', '2']\n",
"['2018-11-22 16:42:41', '2']\n",
"['2018-11-22 16:43:39', '2']\n",
"['2018-11-22 16:44:37', '2']\n",
"['2018-11-22 16:44:58', '3']\n",
"['2018-11-22 16:46:38', '5']\n",
"['2018-11-22 16:47:35', '9']\n",
"['2018-11-22 16:49:33', '13']\n",
"['2018-11-22 16:50:49', '17']\n",
"['2018-11-22 16:52:14', '20']\n",
"['2018-11-22 16:53:58', '26']\n",
"['2018-11-22 16:55:44', '27']\n",
"['2018-11-22 16:58:27', '27']\n",
"['2018-11-22 16:58:45', '28']\n",
"['2018-11-22 17:01:14', '0']\n",
"['2018-11-22 17:04:25', '19']\n",
"['2018-11-22 17:05:38', '20']\n",
"['2018-11-22 17:08:18', '20']\n",
"['2018-11-22 17:09:41', '20']\n",
"['2018-11-22 17:10:06', '24']\n",
"['2018-11-22 17:11:15', '26']\n",
"['2018-11-22 17:12:39', '20']\n",
"['2018-11-22 17:14:55', '19']\n",
"['2018-11-22 17:15:35', '15']\n",
"['2018-11-22 17:16:32', '14']\n",
"['2018-11-22 17:17:29', '12']\n",
"['2018-11-22 17:18:06', '10']\n",
"['2018-11-22 17:19:36', '10']\n",
"['2018-11-22 17:20:33', '10']\n",
"['2018-11-22 17:21:05', '10']\n",
"['2018-11-22 17:22:04', '10']\n",
"['2018-11-22 17:23:00', '2']\n",
"['2018-11-22 17:24:04', '2']\n",
"['2018-11-22 17:25:09', '1']\n",
"['2018-11-22 17:26:14', '1']\n",
"['2018-11-22 17:27:19', '1']\n",
"['2018-11-22 17:28:10', '1']\n",
"['2018-11-22 17:28:34', '0']\n",
"['2018-11-22 17:30:43', '0']\n",
"['2018-11-22 17:30:55', '2']\n",
"['2018-11-22 17:32:21', '2']\n",
"['2018-11-22 17:33:50', '2']\n",
"['2018-11-22 17:34:54', '2']\n",
"['2018-11-22 17:35:31', '2']\n",
"['2018-11-22 17:36:41', '9']\n",
"['2018-11-22 17:37:55', '10']\n",
"['2018-11-22 17:38:43', '11']\n",
"['2018-11-22 17:40:01', '13']\n",
"['2018-11-22 17:40:59', '15']\n",
"['2018-11-22 17:42:27', '14']\n",
"['2018-11-22 17:44:59', '14']\n",
"['2018-11-22 17:45:56', '14']\n",
"['2018-11-22 17:47:11', '11']\n",
"['2018-11-22 17:48:15', '12']\n",
"['2018-11-22 17:50:25', '13']\n",
"['2018-11-22 17:52:23', '13']\n",
"['2018-11-22 17:53:13', '0']\n",
"['2018-11-22 17:59:38', '1']\n",
"['2018-11-25 07:27:28', '0']\n",
"['2018-11-25 07:29:06', '0']\n",
"['2018-11-25 07:29:39', '0']\n",
"['2018-11-25 07:30:21', '0']\n",
"['2018-11-25 07:30:52', '0']\n",
"['2018-11-25 07:32:08', '1']\n",
"['2018-11-25 07:32:48', '1']\n",
"['2018-11-25 07:33:31', '1']\n",
"['2018-11-25 07:34:15', '1']\n",
"['2018-11-25 07:35:29', '0']\n",
"['2018-11-25 07:36:25', '0']\n",
"['2018-11-25 07:37:13', '0']\n",
"['2018-11-25 07:38:26', '0']\n",
"['2018-11-25 07:38:32', '0']\n",
"['2018-11-25 07:40:54', '0']\n",
"['2018-11-25 07:41:36', '0']\n",
"['2018-11-25 07:43:05', '1']\n",
"['2018-11-25 07:44:01', '1']\n",
"['2018-11-25 07:44:34', '1']\n",
"['2018-11-25 07:45:26', '1']\n",
"['2018-11-25 07:46:05', '1']\n",
"['2018-11-25 07:46:59', '1']\n",
"['2018-11-25 07:47:39', '1']\n",
"['2018-11-25 07:48:34', '1']\n",
"['2018-11-25 07:49:19', '1']\n",
"['2018-11-25 07:50:31', '1']\n",
"['2018-11-25 07:51:23', '1']\n",
"['2018-11-25 07:52:10', '1']\n",
"['2018-11-25 07:52:54', '0']\n",
"['2018-11-25 08:01:28', '2']\n",
"['2018-11-25 08:03:32', '2']\n",
"['2018-11-25 08:04:17', '2']\n",
"['2018-11-25 08:05:05', '2']\n",
"['2018-11-25 08:05:59', '2']\n",
"['2018-11-25 08:06:41', '1']\n",
"['2018-11-25 08:08:23', '0']\n",
"['2018-11-25 08:10:24', '0']\n",
"['2018-11-25 08:11:03', '0']\n",
"['2018-11-25 08:12:15', '0']\n",
"['2018-11-25 08:12:44', '0']\n",
"['2018-11-25 08:13:49', '0']\n",
"['2018-11-25 08:15:08', '0']\n",
"['2018-11-25 08:15:15', '0']\n",
"['2018-11-25 08:17:51', '1']\n",
"['2018-11-25 08:20:27', '1']\n",
"['2018-11-25 08:23:04', '1']\n",
"['2018-11-25 08:24:01', '1']\n",
"['2018-11-25 08:24:38', '1']\n",
"['2018-11-25 08:25:19', '0']\n",
"['2018-11-25 08:26:16', '0']\n",
"['2018-11-25 08:27:14', '1']\n",
"['2018-11-25 08:28:29', '1']\n",
"['2018-11-25 08:29:08', '1']\n",
"['2018-11-25 08:31:20', '3']\n",
"['2018-11-25 08:32:35', '3']\n",
"['2018-11-25 08:34:38', '3']\n",
"['2018-11-25 08:36:02', '3']\n",
"['2018-11-25 08:36:44', '0']\n",
"['2018-11-25 08:45:48', '2']\n",
"['2018-11-25 08:47:44', '3']\n",
"['2018-11-25 08:48:32', '3']\n",
"['2018-11-25 08:49:42', '2']\n",
"['2018-11-25 08:51:18', '2']\n",
"['2018-11-25 08:52:48', '2']\n",
"['2018-11-25 08:53:46', '2']\n",
"['2018-11-25 08:54:28', '2']\n",
"['2018-11-25 08:55:06', '2']\n",
"['2018-11-25 08:56:04', '1']\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-25 08:57:17', '0']\n",
"['2018-11-25 08:57:53', '0']\n",
"['2018-11-25 08:59:38', '0']\n",
"['2018-11-25 08:59:43', '0']\n",
"['2018-11-25 09:02:50', '0']\n",
"['2018-11-25 09:05:58', '0']\n",
"['2018-11-25 09:09:06', '0']\n",
"['2018-11-25 09:09:56', '0']\n",
"['2018-11-25 09:10:34', '0']\n",
"['2018-11-25 09:11:27', '0']\n",
"['2018-11-25 09:11:48', '0']\n",
"['2018-11-25 09:12:52', '1']\n",
"['2018-11-25 09:13:43', '1']\n",
"['2018-11-25 09:14:15', '1']\n",
"['2018-11-25 09:15:33', '3']\n",
"['2018-11-25 09:17:42', '3']\n",
"['2018-11-25 09:18:38', '3']\n",
"['2018-11-25 09:18:54', '2']\n",
"['2018-11-25 09:20:34', '0']\n",
"['2018-11-25 09:25:05', '2']\n",
"['2018-11-25 09:29:36', '4']\n",
"['2018-11-25 09:34:07', '4']\n",
"['2018-11-25 09:34:51', '4']\n",
"['2018-11-25 09:36:12', '2']\n",
"['2018-11-25 09:38:00', '2']\n",
"['2018-11-25 09:39:12', '2']\n",
"['2018-11-25 09:40:53', '2']\n",
"['2018-11-25 09:41:21', '2']\n",
"['2018-11-25 09:43:01', '2']\n",
"['2018-11-25 09:43:29', '2']\n",
"['2018-11-25 09:44:16', '2']\n",
"['2018-11-25 09:45:32', '2']\n",
"['2018-11-25 09:45:38', '0']\n",
"['2018-11-25 09:47:56', '2']\n",
"['2018-11-25 09:50:14', '2']\n",
"['2018-11-25 09:52:33', '2']\n",
"['2018-11-25 09:53:32', '2']\n",
"['2018-11-25 09:54:15', '2']\n",
"['2018-11-25 09:55:13', '2']\n",
"['2018-11-25 09:55:35', '2']\n",
"['2018-11-25 09:56:16', '2']\n",
"['2018-11-25 09:57:42', '2']\n",
"['2018-11-25 09:59:03', '2']\n",
"['2018-11-25 10:00:35', '2']\n",
"['2018-11-25 10:02:54', '2']\n",
"['2018-11-25 10:03:54', '2']\n",
"['2018-11-25 10:05:21', '2']\n",
"['2018-11-25 10:06:05', '0']\n",
"['2018-11-25 10:17:07', '8']\n",
"['2018-11-25 10:18:26', '8']\n",
"['2018-11-25 10:19:50', '7']\n",
"['2018-11-25 10:20:34', '7']\n",
"['2018-11-25 10:22:13', '6']\n",
"['2018-11-25 10:22:51', '6']\n",
"['2018-11-25 10:24:21', '4']\n",
"['2018-11-25 10:25:26', '3']\n",
"['2018-11-25 10:27:13', '3']\n",
"['2018-11-25 10:28:31', '2']\n",
"['2018-11-25 10:28:53', '2']\n",
"['2018-11-25 10:30:16', '1']\n",
"['2018-11-25 10:32:22', '1']\n",
"['2018-11-25 10:32:30', '0']\n",
"['2018-11-25 10:35:34', '1']\n",
"['2018-11-25 10:36:09', '1']\n",
"['2018-11-25 10:37:27', '1']\n",
"['2018-11-25 10:38:30', '1']\n",
"['2018-11-25 10:40:05', '3']\n",
"['2018-11-25 10:41:06', '3']\n",
"['2018-11-25 10:41:31', '3']\n",
"['2018-11-25 10:43:30', '11']\n",
"['2018-11-25 10:45:15', '13']\n",
"['2018-11-25 10:46:28', '12']\n",
"['2018-11-25 10:48:31', '16']\n",
"['2018-11-25 10:50:19', '17']\n",
"['2018-11-25 10:51:20', '17']\n",
"['2018-11-25 10:52:22', '17']\n",
"['2018-11-25 10:53:18', '0']\n",
"['2018-11-25 11:02:50', '10']\n",
"['2018-11-25 11:03:51', '10']\n",
"['2018-11-25 11:05:44', '10']\n",
"['2018-11-25 11:07:51', '11']\n",
"['2018-11-25 11:08:25', '6']\n",
"['2018-11-25 11:09:54', '7']\n",
"['2018-11-25 11:11:44', '7']\n",
"['2018-11-25 11:12:23', '0']\n",
"['2018-11-25 11:14:24', '0']\n",
"['2018-11-25 11:15:31', '0']\n",
"['2018-11-25 11:16:00', '0']\n",
"['2018-11-25 11:16:50', '0']\n",
"['2018-11-25 11:18:08', '0']\n",
"['2018-11-25 11:18:14', '0']\n",
"['2018-11-25 11:21:35', '4']\n",
"['2018-11-25 11:22:06', '4']\n",
"['2018-11-25 11:23:09', '4']\n",
"['2018-11-25 11:24:24', '5']\n",
"['2018-11-25 11:24:49', '11']\n",
"['2018-11-25 11:26:32', '11']\n",
"['2018-11-25 11:26:54', '11']\n",
"['2018-11-25 11:28:34', '17']\n",
"['2018-11-25 11:30:02', '17']\n",
"['2018-11-25 11:31:27', '18']\n",
"['2018-11-25 11:33:01', '18']\n",
"['2018-11-25 11:35:13', '19']\n",
"['2018-11-25 11:36:58', '12']\n",
"['2018-11-25 11:37:53', '12']\n",
"['2018-11-25 11:38:39', '0']\n",
"['2018-11-25 11:46:26', '3']\n",
"['2018-11-25 11:48:29', '5']\n",
"['2018-11-25 11:49:00', '5']\n",
"['2018-11-25 11:50:38', '4']\n",
"['2018-11-25 11:51:44', '5']\n",
"['2018-11-25 11:54:22', '5']\n",
"['2018-11-25 11:55:59', '5']\n",
"['2018-11-25 11:57:28', '5']\n",
"['2018-11-25 11:58:15', '5']\n",
"['2018-11-25 11:59:16', '2']\n",
"['2018-11-25 12:00:00', '2']\n",
"['2018-11-25 12:01:16', '2']\n",
"['2018-11-25 12:02:33', '1']\n",
"['2018-11-25 12:02:58', '0']\n",
"['2018-11-25 12:06:38', '3']\n",
"['2018-11-25 12:07:09', '3']\n",
"['2018-11-25 12:08:09', '3']\n",
"['2018-11-25 12:08:58', '7']\n",
"['2018-11-25 12:09:57', '7']\n",
"['2018-11-25 12:11:44', '8']\n",
"['2018-11-25 12:12:04', '8']\n",
"['2018-11-25 12:12:48', '8']\n",
"['2018-11-25 12:13:57', '10']\n",
"['2018-11-25 12:14:54', '11']\n",
"['2018-11-25 12:16:15', '12']\n",
"['2018-11-25 12:17:00', '12']\n",
"['2018-11-25 12:19:08', '11']\n",
"['2018-11-25 12:20:11', '11']\n",
"['2018-11-25 12:20:55', '0']\n",
"['2018-11-25 12:31:47', '8']\n",
"['2018-11-25 12:33:30', '9']\n",
"['2018-11-25 12:34:47', '9']\n",
"['2018-11-25 12:36:20', '9']\n",
"['2018-11-25 12:36:32', '5']\n",
"['2018-11-25 12:37:43', '4']\n",
"['2018-11-25 12:39:02', '3']\n",
"['2018-11-25 12:40:12', '4']\n",
"['2018-11-25 12:42:02', '4']\n",
"['2018-11-25 12:43:05', '3']\n",
"['2018-11-25 12:43:31', '3']\n",
"['2018-11-25 12:44:30', '3']\n",
"['2018-11-25 12:45:41', '1']\n",
"['2018-11-25 12:46:05', '0']\n",
"['2018-11-25 12:50:30', '0']\n",
"['2018-11-25 12:51:07', '0']\n",
"['2018-11-25 12:52:22', '1']\n",
"['2018-11-25 12:53:47', '1']\n",
"['2018-11-25 12:54:47', '1']\n",
"['2018-11-25 12:56:06', '3']\n",
"['2018-11-25 12:56:49', '4']\n",
"['2018-11-25 12:58:01', '4']\n",
"['2018-11-25 12:58:45', '4']\n",
"['2018-11-25 12:59:34', '2']\n",
"['2018-11-25 13:01:41', '4']\n",
"['2018-11-25 13:03:32', '4']\n",
"['2018-11-25 13:04:42', '4']\n",
"['2018-11-25 13:04:55', '6']\n",
"['2018-11-25 13:06:24', '0']\n",
"['2018-11-25 13:15:46', '5']\n",
"['2018-11-25 13:17:28', '8']\n",
"['2018-11-25 13:18:25', '8']\n",
"['2018-11-25 13:19:30', '7']\n",
"['2018-11-25 13:19:47', '7']\n",
"['2018-11-25 13:22:07', '8']\n",
"['2018-11-25 13:22:34', '6']\n",
"['2018-11-25 13:24:31', '5']\n",
"['2018-11-25 13:25:59', '4']\n",
"['2018-11-25 13:27:44', '3']\n",
"['2018-11-25 13:28:33', '3']\n",
"['2018-11-25 13:29:55', '3']\n",
"['2018-11-25 13:31:05', '3']\n",
"['2018-11-25 13:31:11', '0']\n",
"['2018-11-25 13:34:34', '2']\n",
"['2018-11-25 13:35:09', '4']\n",
"['2018-11-25 13:36:06', '4']\n",
"['2018-11-25 13:37:34', '5']\n",
"['2018-11-25 13:38:31', '5']\n",
"['2018-11-25 13:39:29', '5']\n",
"['2018-11-25 13:39:52', '5']\n",
"['2018-11-25 13:40:45', '5']\n",
"['2018-11-25 13:42:34', '5']\n",
"['2018-11-25 13:44:25', '7']\n",
"['2018-11-25 13:46:45', '7']\n",
"['2018-11-25 13:47:37', '7']\n",
"['2018-11-25 13:48:26', '7']\n",
"['2018-11-25 13:48:41', '5']\n",
"['2018-11-25 13:50:22', '0']\n",
"['2018-11-25 14:00:57', '26']\n",
"['2018-11-25 14:02:34', '29']\n",
"['2018-11-25 14:03:48', '27']\n",
"['2018-11-25 14:06:06', '27']\n",
"['2018-11-25 14:08:41', '12']\n",
"['2018-11-25 14:10:45', '12']\n",
"['2018-11-25 14:11:46', '11']\n",
"['2018-11-25 14:13:15', '8']\n",
"['2018-11-25 14:15:07', '2']\n",
"['2018-11-25 14:16:15', '2']\n",
"['2018-11-25 14:16:42', '1']\n",
"['2018-11-25 14:17:33', '1']\n",
"['2018-11-25 14:18:49', '1']\n",
"['2018-11-25 14:18:55', '0']\n",
"['2018-11-25 14:21:26', '1']\n",
"['2018-11-25 14:22:13', '1']\n",
"['2018-11-25 14:23:40', '1']\n",
"['2018-11-25 14:25:09', '2']\n",
"['2018-11-25 14:26:13', '2']\n",
"['2018-11-25 14:27:11', '2']\n",
"['2018-11-25 14:27:31', '2']\n",
"['2018-11-25 14:28:53', '2']\n",
"['2018-11-25 14:29:51', '2']\n",
"['2018-11-25 14:30:40', '7']\n",
"['2018-11-25 14:33:15', '9']\n",
"['2018-11-25 14:36:42', '9']\n",
"['2018-11-25 14:40:07', '9']\n",
"['2018-11-25 14:41:13', '11']\n",
"['2018-11-25 14:42:14', '0']\n",
"['2018-11-25 14:44:31', '11']\n",
"['2018-11-25 14:46:03', '14']\n",
"['2018-11-25 14:47:28', '13']\n",
"['2018-11-25 14:49:20', '11']\n",
"['2018-11-25 14:51:21', '12']\n",
"['2018-11-25 14:52:20', '10']\n",
"['2018-11-25 14:53:12', '7']\n",
"['2018-11-25 14:54:07', '4']\n",
"['2018-11-25 14:55:15', '3']\n",
"['2018-11-25 14:56:54', '1']\n",
"['2018-11-25 14:57:46', '0']\n",
"['2018-11-25 14:58:53', '0']\n",
"['2018-11-25 15:00:02', '0']\n",
"['2018-11-25 15:00:07', '0']\n",
"['2018-11-25 15:00:51', '0']\n",
"['2018-11-25 15:01:20', '0']\n",
"['2018-11-25 15:02:36', '2']\n",
"['2018-11-25 15:03:44', '3']\n",
"['2018-11-25 15:04:29', '4']\n",
"['2018-11-25 15:05:24', '4']\n",
"['2018-11-25 15:06:02', '6']\n",
"['2018-11-25 15:07:23', '9']\n",
"['2018-11-25 15:08:27', '9']\n",
"['2018-11-25 15:09:20', '13']\n",
"['2018-11-25 15:10:43', '15']\n",
"['2018-11-25 15:11:55', '15']\n",
"['2018-11-25 15:13:20', '13']\n",
"['2018-11-25 15:14:08', '12']\n",
"['2018-11-25 15:16:19', '0']\n",
"['2018-11-25 16:11:08', '24']\n",
"['2018-11-25 16:12:28', '24']\n",
"['2018-11-25 16:13:13', '24']\n",
"['2018-11-25 16:14:16', '22']\n",
"['2018-11-25 16:15:59', '20']\n",
"['2018-11-25 16:17:03', '15']\n",
"['2018-11-25 16:18:28', '5']\n",
"['2018-11-25 16:20:16', '2']\n",
"['2018-11-25 16:22:06', '2']\n",
"['2018-11-25 16:23:02', '2']\n",
"['2018-11-25 16:23:26', '2']\n",
"['2018-11-25 16:24:01', '1']\n",
"['2018-11-25 16:25:30', '0']\n",
"['2018-11-25 16:25:53', '0']\n",
"['2018-11-25 16:29:36', '3']\n",
"['2018-11-25 16:30:14', '3']\n",
"['2018-11-25 16:31:15', '3']\n",
"['2018-11-25 16:32:31', '5']\n",
"['2018-11-25 16:33:02', '5']\n",
"['2018-11-25 16:34:23', '9']\n",
"['2018-11-25 16:34:42', '9']\n",
"['2018-11-25 16:35:25', '9']\n",
"['2018-11-25 16:36:51', '11']\n",
"['2018-11-25 16:37:13', '8']\n",
"['2018-11-25 16:38:23', '9']\n",
"['2018-11-25 16:40:30', '9']\n",
"['2018-11-25 16:42:25', '8']\n",
"['2018-11-25 16:43:26', '8']\n",
"['2018-11-25 16:44:11', '0']\n",
"['2018-11-25 17:40:49', '3']\n",
"['2018-11-25 17:41:58', '3']\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-25 17:44:21', '4']\n",
"['2018-11-25 17:45:55', '4']\n",
"['2018-11-25 17:46:09', '2']\n",
"['2018-11-25 17:47:49', '3']\n",
"['2018-11-25 17:48:14', '2']\n",
"['2018-11-25 17:50:09', '1']\n",
"['2018-11-25 17:51:45', '1']\n",
"['2018-11-25 17:52:55', '1']\n",
"['2018-11-25 17:53:19', '1']\n",
"['2018-11-25 17:54:05', '1']\n",
"['2018-11-25 17:55:11', '0']\n",
"['2018-11-25 17:55:30', '0']\n",
"['2018-11-25 17:57:29', '0']\n",
"['2018-11-25 17:59:28', '0']\n",
"['2018-11-25 18:01:27', '0']\n",
"['2018-11-25 18:02:32', '0']\n",
"['2018-11-25 18:03:32', '2']\n",
"['2018-11-25 18:04:26', '2']\n",
"['2018-11-25 18:04:47', '2']\n",
"['2018-11-25 18:06:18', '3']\n",
"['2018-11-25 18:07:35', '2']\n",
"['2018-11-25 18:08:14', '2']\n",
"['2018-11-25 18:10:08', '13']\n",
"['2018-11-25 18:12:36', '13']\n",
"['2018-11-25 18:13:44', '13']\n",
"['2018-11-25 18:13:57', '10']\n",
"['2018-11-25 18:16:35', '0']\n",
"['2018-11-25 19:10:38', '24']\n",
"['2018-11-25 19:12:55', '25']\n",
"['2018-11-25 19:13:48', '25']\n",
"['2018-11-25 19:15:07', '24']\n",
"['2018-11-25 19:16:27', '20']\n",
"['2018-11-25 19:18:37', '24']\n",
"['2018-11-25 19:20:27', '19']\n",
"['2018-11-25 19:22:12', '13']\n",
"['2018-11-25 19:24:00', '13']\n",
"['2018-11-25 19:24:57', '9']\n",
"['2018-11-25 19:25:44', '2']\n",
"['2018-11-25 19:26:56', '2']\n",
"['2018-11-25 19:28:01', '2']\n",
"['2018-11-25 19:28:06', '0']\n",
"['2018-11-25 19:30:43', '2']\n",
"['2018-11-25 19:31:13', '2']\n",
"['2018-11-25 19:32:07', '0']\n",
"['2018-11-25 19:33:28', '0']\n",
"['2018-11-25 19:34:27', '2']\n",
"['2018-11-25 19:35:18', '2']\n",
"['2018-11-25 19:35:51', '2']\n",
"['2018-11-25 19:36:55', '2']\n",
"['2018-11-25 19:39:10', '3']\n",
"['2018-11-25 19:39:58', '3']\n",
"['2018-11-25 19:41:14', '2']\n",
"['2018-11-25 19:43:07', '2']\n",
"['2018-11-25 19:45:04', '2']\n",
"['2018-11-25 19:46:46', '2']\n",
"['2018-11-25 19:47:36', '0']\n",
"['2018-11-25 20:40:44', '9']\n",
"['2018-11-25 20:42:03', '9']\n",
"['2018-11-25 20:42:41', '9']\n",
"['2018-11-25 20:43:56', '9']\n",
"['2018-11-25 20:44:28', '9']\n",
"['2018-11-25 20:44:58', '9']\n",
"['2018-11-25 20:46:47', '7']\n",
"['2018-11-25 20:47:49', '7']\n",
"['2018-11-25 20:48:57', '7']\n",
"['2018-11-25 20:49:55', '5']\n",
"['2018-11-25 20:50:43', '3']\n",
"['2018-11-25 20:51:51', '1']\n",
"['2018-11-25 20:53:35', '1']\n",
"['2018-11-25 20:53:41', '0']\n",
"['2018-11-25 21:01:04', '0']\n",
"['2018-11-25 21:01:37', '0']\n",
"['2018-11-25 21:02:59', '1']\n",
"['2018-11-25 21:04:03', '5']\n",
"['2018-11-25 21:04:58', '7']\n",
"['2018-11-25 21:05:44', '7']\n",
"['2018-11-25 21:05:57', '7']\n",
"['2018-11-25 21:06:26', '7']\n",
"['2018-11-25 21:06:47', '5']\n",
"['2018-11-25 21:07:37', '7']\n",
"['2018-11-25 21:09:20', '5']\n",
"['2018-11-25 21:11:35', '5']\n",
"['2018-11-25 21:12:18', '5']\n",
"['2018-11-25 21:12:29', '3']\n",
"['2018-11-25 21:13:39', '0']\n",
"['2018-11-26 06:59:31', '1']\n",
"['2018-11-26 07:00:21', '2']\n",
"['2018-11-26 07:01:19', '2']\n",
"['2018-11-26 07:02:03', '3']\n",
"['2018-11-26 07:02:49', '4']\n",
"['2018-11-26 07:04:07', '4']\n",
"['2018-11-26 07:04:19', '3']\n",
"['2018-11-26 07:05:07', '5']\n",
"['2018-11-26 07:06:00', '6']\n",
"['2018-11-26 07:06:47', '7']\n",
"['2018-11-26 07:07:54', '9']\n",
"['2018-11-26 07:08:57', '9']\n",
"['2018-11-26 07:09:35', '9']\n",
"['2018-11-26 07:10:01', '9']\n",
"['2018-11-26 07:10:37', '0']\n",
"['2018-11-26 07:16:43', '0']\n",
"['2018-11-26 07:18:06', '0']\n",
"['2018-11-26 07:18:36', '0']\n",
"['2018-11-26 07:19:08', '0']\n",
"['2018-11-26 07:19:27', '0']\n",
"['2018-11-26 07:20:03', '0']\n",
"['2018-11-26 07:20:33', '0']\n",
"['2018-11-26 07:21:11', '0']\n",
"['2018-11-26 07:21:48', '0']\n",
"['2018-11-26 07:22:51', '0']\n",
"['2018-11-26 07:23:16', '0']\n",
"['2018-11-26 07:23:57', '0']\n",
"['2018-11-26 07:24:19', '0']\n",
"['2018-11-26 07:24:42', '0']\n",
"['2018-11-26 07:25:05', '0']\n",
"['2018-11-26 07:25:28', '0']\n",
"['2018-11-26 07:27:00', '0']\n",
"['2018-11-26 07:29:27', '0']\n",
"['2018-11-26 07:31:54', '0']\n",
"['2018-11-26 07:34:21', '0']\n",
"['2018-11-26 07:36:49', '1']\n",
"['2018-11-26 07:37:21', '1']\n",
"['2018-11-26 07:37:47', '0']\n",
"['2018-11-26 07:44:44', '1']\n",
"['2018-11-26 07:44:57', '1']\n",
"['2018-11-26 07:46:15', '1']\n",
"['2018-11-26 07:47:56', '1']\n",
"['2018-11-26 07:48:29', '2']\n",
"['2018-11-26 07:49:30', '2']\n",
"['2018-11-26 07:50:28', '2']\n",
"['2018-11-26 07:51:18', '7']\n",
"['2018-11-26 07:52:09', '8']\n",
"['2018-11-26 07:53:41', '8']\n",
"['2018-11-26 07:53:59', '8']\n",
"['2018-11-26 07:54:49', '8']\n",
"['2018-11-26 07:56:16', '8']\n",
"['2018-11-26 07:56:52', '6']\n",
"['2018-11-26 07:58:18', '6']\n",
"['2018-11-26 07:58:47', '9']\n",
"['2018-11-26 08:00:00', '9']\n",
"['2018-11-26 08:00:12', '10']\n",
"['2018-11-26 08:02:15', '0']\n",
"['2018-11-26 08:06:39', '15']\n",
"['2018-11-26 08:13:10', '14']\n",
"['2018-11-26 08:14:43', '11']\n",
"['2018-11-26 08:17:03', '11']\n",
"['2018-11-26 08:17:20', '12']\n",
"['2018-11-26 08:19:22', '11']\n",
"['2018-11-26 08:21:52', '11']\n",
"['2018-11-26 08:22:18', '10']\n",
"['2018-11-26 08:23:39', '9']\n",
"['2018-11-26 08:25:17', '6']\n",
"['2018-11-26 08:26:02', '2']\n",
"['2018-11-26 08:26:48', '2']\n",
"['2018-11-26 08:27:11', '2']\n",
"['2018-11-26 08:27:34', '2']\n",
"['2018-11-26 08:27:58', '2']\n",
"['2018-11-26 08:30:20', '2']\n",
"['2018-11-26 08:31:19', '1']\n",
"['2018-11-26 08:32:24', '3']\n",
"['2018-11-26 08:33:30', '4']\n",
"['2018-11-26 08:34:36', '5']\n",
"['2018-11-26 08:35:42', '5']\n",
"['2018-11-26 08:36:12', '6']\n",
"['2018-11-26 08:37:48', '0']\n",
"['2018-11-26 08:39:25', '18']\n",
"['2018-11-26 08:41:03', '30']\n",
"['2018-11-26 08:42:41', '31']\n",
"['2018-11-26 08:44:19', '32']\n",
"['2018-11-26 08:45:57', '39']\n",
"['2018-11-26 08:47:35', '41']\n",
"['2018-11-26 08:49:12', '43']\n",
"['2018-11-26 08:50:50', '47']\n",
"['2018-11-26 08:52:28', '53']\n",
"['2018-11-26 08:54:06', '38']\n",
"['2018-11-26 08:55:44', '42']\n",
"['2018-11-26 08:57:22', '45']\n",
"['2018-11-26 08:59:00', '46']\n",
"['2018-11-26 09:00:37', '45']\n",
"['2018-11-26 09:02:15', '29']\n",
"['2018-11-26 09:03:53', '18']\n",
"['2018-11-26 09:05:31', '17']\n",
"['2018-11-26 09:07:09', '17']\n",
"['2018-11-26 09:08:47', '0']\n",
"['2018-11-26 09:10:25', '41']\n",
"['2018-11-26 09:12:47', '45']\n",
"['2018-11-26 09:15:10', '44']\n",
"['2018-11-26 09:17:32', '39']\n",
"['2018-11-26 09:19:55', '36']\n",
"['2018-11-26 09:22:17', '26']\n",
"['2018-11-26 09:24:40', '17']\n",
"['2018-11-26 09:24:52', '2']\n",
"['2018-11-26 09:25:04', '2']\n",
"['2018-11-26 09:25:17', '3']\n",
"['2018-11-26 09:25:29', '2']\n",
"['2018-11-26 09:25:42', '1']\n",
"['2018-11-26 09:26:36', '1']\n",
"['2018-11-26 09:27:30', '1']\n",
"['2018-11-26 09:28:24', '1']\n",
"['2018-11-26 09:29:18', '1']\n",
"['2018-11-26 09:30:12', '0']\n",
"['2018-11-26 09:31:05', '0']\n",
"['2018-11-26 09:32:47', '0']\n",
"['2018-11-26 09:34:30', '0']\n",
"['2018-11-26 09:36:13', '0']\n",
"['2018-11-26 09:37:55', '0']\n",
"['2018-11-26 09:39:38', '0']\n",
"['2018-11-26 09:41:21', '4']\n",
"['2018-11-26 09:42:39', '5']\n",
"['2018-11-26 09:43:57', '5']\n",
"['2018-11-26 09:45:15', '5']\n",
"['2018-11-26 09:46:34', '8']\n",
"['2018-11-26 09:47:44', '8']\n",
"['2018-11-26 09:48:40', '11']\n",
"['2018-11-26 09:51:42', '19']\n",
"['2018-11-26 09:52:36', '23']\n",
"['2018-11-26 09:54:09', '31']\n",
"['2018-11-26 09:55:42', '33']\n",
"['2018-11-26 09:57:16', '36']\n",
"['2018-11-26 09:58:49', '36']\n",
"['2018-11-26 10:00:23', '30']\n",
"['2018-11-26 10:01:56', '27']\n",
"['2018-11-26 10:03:29', '29']\n",
"['2018-11-26 10:05:03', '26']\n",
"['2018-11-26 10:06:36', '26']\n",
"['2018-11-26 10:08:10', '0']\n",
"['2018-11-26 10:09:43', '63']\n",
"['2018-11-26 10:11:16', '64']\n",
"['2018-11-26 10:12:50', '59']\n",
"['2018-11-26 10:14:23', '57']\n",
"['2018-11-26 10:15:57', '57']\n",
"['2018-11-26 10:17:30', '42']\n",
"['2018-11-26 10:19:04', '36']\n",
"['2018-11-26 10:20:37', '23']\n",
"['2018-11-26 10:22:10', '17']\n",
"['2018-11-26 10:23:44', '13']\n",
"['2018-11-26 10:25:17', '6']\n",
"['2018-11-26 10:26:51', '2']\n",
"['2018-11-26 10:28:24', '2']\n",
"['2018-11-26 10:29:57', '2']\n",
"['2018-11-26 10:31:31', '2']\n",
"['2018-11-26 10:33:04', '2']\n",
"['2018-11-26 10:34:38', '2']\n",
"['2018-11-26 10:36:11', '2']\n",
"['2018-11-26 10:37:44', '2']\n",
"['2018-11-26 10:39:18', '2']\n",
"['2018-11-26 10:40:51', '2']\n",
"['2018-11-26 10:42:25', '2']\n",
"['2018-11-26 10:43:58', '0']\n",
"['2018-11-26 10:45:32', '5']\n",
"['2018-11-26 10:47:05', '8']\n",
"['2018-11-26 10:48:38', '8']\n",
"['2018-11-26 10:50:12', '8']\n",
"['2018-11-26 10:51:45', '9']\n",
"['2018-11-26 10:53:19', '9']\n",
"['2018-11-26 10:54:52', '9']\n",
"['2018-11-26 10:56:25', '15']\n",
"['2018-11-26 10:57:59', '15']\n",
"['2018-11-26 10:59:32', '15']\n",
"['2018-11-26 11:01:06', '15']\n",
"['2018-11-26 11:02:39', '15']\n",
"['2018-11-26 11:04:12', '14']\n",
"['2018-11-26 11:05:46', '8']\n",
"['2018-11-26 11:07:19', '4']\n",
"['2018-11-26 11:08:53', '4']\n",
"['2018-11-26 11:10:26', '3']\n",
"['2018-11-26 11:12:00', '3']\n",
"['2018-11-26 11:13:22', '0']\n",
"['2018-11-26 11:14:44', '38']\n",
"['2018-11-26 11:16:06', '36']\n",
"['2018-11-26 11:17:28', '38']\n",
"['2018-11-26 11:18:51', '34']\n",
"['2018-11-26 11:20:56', '28']\n",
"['2018-11-26 11:27:18', '15']\n",
"['2018-11-22 06:11:45', '1']\n",
"['2018-11-22 06:12:38', '5']\n",
"['2018-11-22 06:16:05', '5']\n",
"['2018-11-22 06:16:20', '5']\n",
"['2018-11-22 06:17:02', '7']\n",
"['2018-11-22 06:17:57', '9']\n",
"['2018-11-22 06:18:40', '10']\n",
"['2018-11-22 06:19:19', '10']\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-22 06:19:28', '10']\n",
"['2018-11-22 06:20:01', '10']\n",
"['2018-11-22 06:20:29', '10']\n",
"['2018-11-22 06:20:50', '10']\n",
"['2018-11-22 06:21:24', '12']\n",
"['2018-11-22 06:22:10', '14']\n",
"['2018-11-22 06:23:28', '14']\n",
"['2018-11-22 06:23:53', '14']\n",
"['2018-11-22 06:24:01', '14']\n",
"['2018-11-22 06:25:07', '15']\n",
"['2018-11-22 06:25:56', '15']\n",
"['2018-11-22 06:28:14', '5']\n",
"['2018-11-22 06:29:30', '5']\n",
"['2018-11-22 06:29:56', '5']\n",
"['2018-11-22 06:30:24', '5']\n",
"['2018-11-22 06:31:09', '5']\n",
"['2018-11-22 06:32:22', '4']\n",
"['2018-11-22 06:33:38', '5']\n",
"['2018-11-22 06:34:55', '5']\n",
"['2018-11-22 06:35:16', '5']\n",
"['2018-11-22 06:35:29', '5']\n",
"['2018-11-22 06:41:52', '5']\n",
"['2018-11-22 06:42:13', '4']\n",
"['2018-11-22 06:42:46', '4']\n",
"['2018-11-22 06:43:17', '4']\n",
"['2018-11-22 06:43:36', '4']\n",
"['2018-11-22 06:43:58', '4']\n",
"['2018-11-22 06:44:28', '4']\n",
"['2018-11-22 06:45:01', '4']\n",
"['2018-11-22 06:45:27', '4']\n",
"['2018-11-22 06:45:39', '4']\n",
"['2018-11-22 06:46:33', '5']\n",
"['2018-11-22 06:47:39', '4']\n",
"['2018-11-22 06:48:24', '4']\n",
"['2018-11-22 06:48:42', '4']\n",
"['2018-11-22 06:49:29', '4']\n",
"['2018-11-22 06:49:58', '3']\n",
"['2018-11-22 06:50:36', '3']\n",
"['2018-11-22 06:51:05', '3']\n",
"['2018-11-22 06:51:29', '3']\n",
"['2018-11-22 06:51:49', '0']\n",
"['2018-11-22 06:52:58', '0']\n",
"['2018-11-22 06:53:34', '0']\n",
"['2018-11-22 06:53:58', '0']\n",
"['2018-11-22 06:54:28', '0']\n",
"['2018-11-22 06:54:54', '0']\n",
"['2018-11-22 06:55:13', '0']\n",
"['2018-11-22 06:55:40', '0']\n",
"['2018-11-22 06:56:02', '1']\n",
"['2018-11-22 06:58:27', '1']\n",
"['2018-11-22 06:58:40', '2']\n",
"['2018-11-22 06:59:41', '2']\n",
"['2018-11-22 07:00:13', '3']\n",
"['2018-11-22 07:00:52', '3']\n",
"['2018-11-22 07:01:06', '5']\n",
"['2018-11-22 07:01:58', '5']\n",
"['2018-11-22 07:02:16', '5']\n",
"['2018-11-22 07:02:53', '7']\n",
"['2018-11-22 07:03:50', '7']\n",
"['2018-11-22 07:04:13', '7']\n",
"['2018-11-22 07:04:34', '6']\n",
"['2018-11-22 07:04:39', '6']\n",
"['2018-11-22 07:06:34', '6']\n",
"['2018-11-22 07:06:52', '7']\n",
"['2018-11-22 07:08:40', '7']\n",
"['2018-11-22 07:08:56', '6']\n",
"['2018-11-22 07:09:28', '6']\n",
"['2018-11-22 07:09:39', '7']\n",
"['2018-11-22 07:12:34', '4']\n",
"['2018-11-22 07:15:31', '4']\n",
"['2018-11-22 07:16:16', '4']\n",
"['2018-11-22 07:16:47', '4']\n",
"['2018-11-22 07:17:47', '4']\n",
"['2018-11-22 07:18:02', '4']\n",
"['2018-11-22 07:18:30', '4']\n",
"['2018-11-22 07:19:16', '4']\n",
"['2018-11-22 07:21:07', '3']\n",
"['2018-11-22 07:21:42', '3']\n",
"['2018-11-22 07:21:59', '3']\n",
"['2018-11-22 07:22:50', '3']\n",
"['2018-11-22 07:23:16', '3']\n",
"['2018-11-22 07:23:46', '0']\n",
"['2018-11-22 07:24:39', '0']\n",
"['2018-11-22 07:25:14', '0']\n",
"['2018-11-22 07:25:23', '1']\n",
"['2018-11-22 07:29:19', '2']\n",
"['2018-11-22 07:30:34', '0']\n",
"['2018-11-22 07:41:00', '12']\n",
"['2018-11-22 07:41:59', '15']\n",
"['2018-11-22 07:45:04', '18']\n",
"['2018-11-22 07:46:01', '18']\n",
"['2018-11-22 07:46:57', '18']\n",
"['2018-11-22 07:47:11', '19']\n",
"['2018-11-22 07:47:55', '21']\n",
"['2018-11-22 07:48:54', '21']\n",
"['2018-11-22 07:49:13', '24']\n",
"['2018-11-22 07:50:22', '24']\n",
"['2018-11-22 07:50:41', '25']\n",
"['2018-11-22 07:51:24', '26']\n",
"['2018-11-22 07:52:23', '27']\n",
"['2018-11-22 07:53:15', '28']\n",
"['2018-11-22 07:54:55', '28']\n",
"['2018-11-22 07:55:20', '27']\n",
"['2018-11-22 07:56:03', '27']\n",
"['2018-11-22 07:57:12', '27']\n",
"['2018-11-22 07:57:57', '27']\n",
"['2018-11-22 08:02:38', '34']\n",
"['2018-11-22 08:05:09', '38']\n",
"['2018-11-22 08:06:08', '36']\n",
"['2018-11-22 08:09:32', '36']\n",
"['2018-11-22 08:09:58', '35']\n",
"['2018-11-22 08:11:49', '30']\n",
"['2018-11-22 08:13:25', '47']\n",
"['2018-11-22 08:16:20', '46']\n",
"['2018-11-22 08:17:17', '44']\n",
"['2018-11-22 08:17:28', '43']\n",
"['2018-11-22 08:19:03', '43']\n",
"['2018-11-22 08:19:24', '43']\n",
"['2018-11-22 08:20:51', '43']\n",
"['2018-11-22 08:21:58', '31']\n",
"['2018-11-22 08:22:48', '30']\n",
"['2018-11-22 08:23:27', '29']\n",
"['2018-11-22 08:24:27', '29']\n",
"['2018-11-22 08:24:54', '30']\n",
"['2018-11-22 08:25:48', '30']\n",
"['2018-11-22 08:26:28', '30']\n",
"['2018-11-22 08:28:11', '30']\n",
"['2018-11-22 08:28:57', '30']\n",
"['2018-11-22 08:29:52', '31']\n",
"['2018-11-22 08:30:39', '30']\n",
"['2018-11-22 08:31:26', '30']\n",
"['2018-11-22 08:32:05', '30']\n",
"['2018-11-22 08:32:41', '6']\n",
"['2018-11-22 08:34:02', '3']\n",
"['2018-11-22 08:34:27', '3']\n",
"['2018-11-22 08:34:46', '0']\n",
"['2018-11-22 08:35:55', '7']\n",
"['2018-11-22 08:37:05', '7']\n",
"['2018-11-22 08:38:15', '9']\n",
"['2018-11-22 08:39:25', '10']\n",
"['2018-11-22 08:40:35', '10']\n",
"['2018-11-22 08:41:44', '13']\n",
"['2018-11-22 08:42:54', '17']\n",
"['2018-11-22 08:44:04', '27']\n",
"['2018-11-22 08:45:14', '32']\n",
"['2018-11-22 08:46:24', '39']\n",
"['2018-11-22 08:47:33', '38']\n",
"['2018-11-22 08:48:43', '39']\n",
"['2018-11-22 08:49:53', '41']\n",
"['2018-11-22 08:51:03', '43']\n",
"['2018-11-22 08:52:13', '46']\n",
"['2018-11-22 08:53:22', '49']\n",
"['2018-11-22 08:54:32', '47']\n",
"['2018-11-22 08:55:42', '52']\n",
"['2018-11-22 08:56:52', '55']\n",
"['2018-11-22 08:58:02', '58']\n",
"['2018-11-22 08:59:11', '58']\n",
"['2018-11-22 09:00:21', '60']\n",
"['2018-11-22 09:01:31', '60']\n",
"['2018-11-22 09:02:41', '44']\n",
"['2018-11-22 09:03:51', '39']\n",
"['2018-11-22 09:05:00', '38']\n",
"['2018-11-22 09:06:10', '29']\n",
"['2018-11-22 09:07:20', '30']\n",
"['2018-11-22 09:08:30', '34']\n",
"['2018-11-22 09:09:40', '37']\n",
"['2018-11-22 09:10:49', '41']\n",
"['2018-11-22 09:11:59', '46']\n",
"['2018-11-22 09:13:09', '43']\n",
"['2018-11-22 09:14:19', '28']\n",
"['2018-11-22 09:15:29', '28']\n",
"['2018-11-22 09:16:38', '30']\n",
"['2018-11-22 09:17:48', '21']\n",
"['2018-11-22 09:18:58', '22']\n",
"['2018-11-22 09:20:08', '22']\n",
"['2018-11-22 09:21:18', '22']\n",
"['2018-11-22 09:22:27', '22']\n",
"['2018-11-22 09:23:37', '6']\n",
"['2018-11-22 09:24:47', '5']\n",
"['2018-11-22 09:25:57', '5']\n",
"['2018-11-22 09:27:07', '5']\n",
"['2018-11-22 09:28:16', '3']\n",
"['2018-11-22 09:29:26', '3']\n",
"['2018-11-22 09:30:36', '3']\n",
"['2018-11-22 09:31:46', '0']\n",
"['2018-11-22 09:32:56', '1']\n",
"['2018-11-22 09:33:35', '4']\n",
"['2018-11-22 09:33:56', '4']\n",
"['2018-11-22 09:34:52', '5']\n",
"['2018-11-22 09:36:37', '5']\n",
"['2018-11-22 09:37:11', '7']\n",
"['2018-11-22 09:38:25', '9']\n",
"['2018-11-22 09:38:38', '9']\n",
"['2018-11-22 09:39:28', '10']\n",
"['2018-11-22 09:40:01', '11']\n",
"['2018-11-22 09:41:04', '11']\n",
"['2018-11-22 09:41:44', '11']\n",
"['2018-11-22 09:42:07', '12']\n",
"['2018-11-22 09:42:54', '14']\n",
"['2018-11-22 09:43:51', '16']\n",
"['2018-11-22 09:45:14', '18']\n",
"['2018-11-22 09:46:42', '18']\n",
"['2018-11-22 09:47:12', '18']\n",
"['2018-11-22 09:47:26', '18']\n",
"['2018-11-22 09:48:56', '17']\n",
"['2018-11-22 09:49:46', '17']\n",
"['2018-11-22 09:56:55', '14']\n",
"['2018-11-22 09:59:23', '14']\n",
"['2018-11-22 10:01:45', '15']\n",
"['2018-11-22 10:03:25', '10']\n",
"['2018-11-22 10:05:09', '8']\n",
"['2018-11-22 10:09:04', '4']\n",
"['2018-11-22 10:10:40', '8']\n",
"['2018-11-22 10:13:21', '8']\n",
"['2018-11-22 10:14:07', '8']\n",
"['2018-11-22 10:14:15', '7']\n",
"['2018-11-22 10:15:45', '5']\n",
"['2018-11-22 10:17:27', '7']\n",
"['2018-11-22 10:18:48', '7']\n",
"['2018-11-22 10:19:24', '7']\n",
"['2018-11-22 10:19:40', '7']\n",
"['2018-11-22 10:20:01', '7']\n",
"['2018-11-22 10:20:30', '7']\n",
"['2018-11-22 10:21:05', '7']\n",
"['2018-11-22 10:21:31', '7']\n",
"['2018-11-22 10:21:48', '6']\n",
"['2018-11-22 10:24:28', '6']\n",
"['2018-11-22 10:26:46', '7']\n",
"['2018-11-22 10:27:34', '7']\n",
"['2018-11-22 10:29:20', '6']\n",
"['2018-11-22 10:31:06', '6']\n",
"['2018-11-22 10:32:53', '5']\n",
"['2018-11-22 10:34:39', '0']\n",
"['2018-11-22 10:36:26', '2']\n",
"['2018-11-22 10:37:18', '2']\n",
"['2018-11-22 10:39:21', '3']\n",
"['2018-11-22 10:43:16', '3']\n",
"['2018-11-22 10:44:19', '3']\n",
"['2018-11-22 10:44:45', '3']\n",
"['2018-11-22 10:45:31', '5']\n",
"['2018-11-22 10:46:20', '5']\n",
"['2018-11-22 10:46:36', '6']\n",
"['2018-11-22 10:47:30', '6']\n",
"['2018-11-22 10:47:40', '7']\n",
"['2018-11-22 10:49:50', '8']\n",
"['2018-11-22 10:50:57', '11']\n",
"['2018-11-22 10:52:10', '11']\n",
"['2018-11-22 10:53:19', '11']\n",
"['2018-11-22 10:53:26', '12']\n",
"['2018-11-22 10:56:52', '10']\n",
"['2018-11-22 10:58:17', '12']\n",
"['2018-11-22 11:01:22', '13']\n",
"['2018-11-22 11:03:02', '16']\n",
"['2018-11-22 11:05:27', '18']\n",
"['2018-11-22 11:06:15', '19']\n",
"['2018-11-22 11:11:04', '20']\n",
"['2018-11-22 11:13:54', '19']\n",
"['2018-11-22 11:14:38', '19']\n",
"['2018-11-22 11:14:52', '17']\n",
"['2018-11-22 11:17:10', '17']\n",
"['2018-11-22 11:17:26', '15']\n",
"['2018-11-22 11:18:26', '15']\n",
"['2018-11-22 11:19:23', '11']\n",
"['2018-11-22 11:20:34', '10']\n",
"['2018-11-22 11:21:32', '11']\n",
"['2018-11-22 11:22:22', '10']\n",
"['2018-11-22 11:23:54', '9']\n",
"['2018-11-22 11:25:04', '8']\n",
"['2018-11-22 11:26:00', '6']\n",
"['2018-11-22 11:27:33', '6']\n",
"['2018-11-22 11:28:03', '4']\n",
"['2018-11-22 11:28:53', '1']\n",
"['2018-11-22 11:30:46', '1']\n",
"['2018-11-22 11:31:27', '1']\n",
"['2018-11-22 11:32:08', '1']\n",
"['2018-11-22 11:32:34', '0']\n",
"['2018-11-22 11:36:20', '2']\n",
"['2018-11-22 11:36:59', '3']\n",
"['2018-11-22 11:37:54', '4']\n",
"['2018-11-22 11:39:04', '4']\n",
"['2018-11-22 11:41:23', '4']\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-22 11:42:26', '4']\n",
"['2018-11-22 11:43:20', '4']\n",
"['2018-11-22 11:43:42', '7']\n",
"['2018-11-22 11:44:57', '7']\n",
"['2018-11-22 11:45:10', '9']\n",
"['2018-11-22 11:45:48', '9']\n",
"['2018-11-22 11:46:35', '9']\n",
"['2018-11-22 11:47:07', '9']\n",
"['2018-11-22 11:47:39', '9']\n",
"['2018-11-22 11:48:59', '11']\n",
"['2018-11-22 11:50:10', '11']\n",
"['2018-11-22 11:51:42', '11']\n",
"['2018-11-22 11:52:13', '12']\n",
"['2018-11-22 11:52:59', '13']\n",
"['2018-11-22 11:54:58', '13']\n",
"['2018-11-22 11:55:11', '12']\n",
"['2018-11-22 11:59:55', '13']\n",
"['2018-11-22 12:01:47', '17']\n",
"['2018-11-22 12:03:12', '16']\n",
"['2018-11-22 12:04:20', '8']\n",
"['2018-11-22 12:05:53', '10']\n",
"['2018-11-22 12:09:03', '19']\n",
"['2018-11-22 12:11:41', '26']\n",
"['2018-11-22 12:14:54', '28']\n",
"['2018-11-22 12:15:50', '29']\n",
"['2018-11-22 12:16:07', '26']\n",
"['2018-11-22 12:17:13', '22']\n",
"['2018-11-22 12:19:00', '22']\n",
"['2018-11-22 12:19:15', '21']\n",
"['2018-11-22 12:20:22', '17']\n",
"['2018-11-22 12:21:15', '14']\n",
"['2018-11-22 12:21:36', '14']\n",
"['2018-11-22 12:22:31', '13']\n",
"['2018-11-22 12:23:48', '11']\n",
"['2018-11-22 12:24:56', '11']\n",
"['2018-11-22 12:25:10', '11']\n",
"['2018-11-22 12:27:05', '8']\n",
"['2018-11-22 12:29:37', '6']\n",
"['2018-11-22 12:30:40', '6']\n",
"['2018-11-22 12:32:00', '4']\n",
"['2018-11-22 12:33:21', '2']\n",
"['2018-11-22 12:34:41', '2']\n",
"['2018-11-22 12:36:02', '0']\n",
"['2018-11-22 12:37:23', '6']\n",
"['2018-11-22 12:37:53', '9']\n",
"['2018-11-22 12:40:33', '9']\n",
"['2018-11-22 12:43:50', '9']\n",
"['2018-11-22 12:44:15', '9']\n",
"['2018-11-22 12:44:32', '10']\n",
"['2018-11-22 12:45:43', '10']\n",
"['2018-11-22 12:46:31', '10']\n",
"['2018-11-22 12:46:58', '10']\n",
"['2018-11-22 12:47:22', '12']\n",
"['2018-11-22 12:48:21', '12']\n",
"['2018-11-22 12:49:26', '16']\n",
"['2018-11-22 12:53:21', '17']\n",
"['2018-11-22 12:54:59', '19']\n",
"['2018-11-22 12:56:45', '19']\n",
"['2018-11-22 12:56:51', '20']\n",
"['2018-11-22 13:00:37', '24']\n",
"['2018-11-22 13:02:12', '30']\n",
"['2018-11-22 13:04:46', '33']\n",
"['2018-11-22 13:06:07', '36']\n",
"['2018-11-22 13:08:31', '32']\n",
"['2018-11-22 13:09:28', '34']\n",
"['2018-11-22 13:12:37', '24']\n",
"['2018-11-22 13:16:06', '25']\n",
"['2018-11-22 13:16:56', '26']\n",
"['2018-11-22 13:17:41', '27']\n",
"['2018-11-22 13:19:19', '25']\n",
"['2018-11-22 13:20:03', '23']\n",
"['2018-11-22 13:21:41', '23']\n",
"['2018-11-22 13:22:44', '17']\n",
"['2018-11-22 13:23:48', '14']\n",
"['2018-11-22 13:24:37', '11']\n",
"['2018-11-22 13:25:15', '10']\n",
"['2018-11-22 13:26:24', '8']\n",
"['2018-11-22 13:27:44', '5']\n",
"['2018-11-22 13:28:33', '3']\n",
"['2018-11-22 13:30:03', '3']\n",
"['2018-11-22 13:30:26', '3']\n",
"['2018-11-22 13:31:54', '3']\n",
"['2018-11-22 13:32:17', '4']\n",
"['2018-11-22 13:33:19', '4']\n",
"['2018-11-22 13:33:53', '4']\n",
"['2018-11-22 13:34:14', '0']\n",
"['2018-11-22 13:36:18', '0']\n",
"['2018-11-22 13:36:57', '0']\n",
"['2018-11-22 13:37:22', '0']\n",
"['2018-11-22 13:38:29', '0']\n",
"['2018-11-22 13:38:59', '0']\n",
"['2018-11-22 13:39:42', '0']\n",
"['2018-11-22 13:40:36', '0']\n",
"['2018-11-22 13:40:46', '1']\n",
"['2018-11-22 13:41:39', '1']\n",
"['2018-11-22 13:42:09', '1']\n",
"['2018-11-22 13:42:15', '3']\n",
"['2018-11-22 13:43:22', '4']\n",
"['2018-11-22 13:44:21', '4']\n",
"['2018-11-22 13:44:46', '4']\n",
"['2018-11-22 13:45:31', '4']\n",
"['2018-11-22 13:46:24', '5']\n",
"['2018-11-22 13:47:49', '5']\n",
"['2018-11-22 13:48:19', '5']\n",
"['2018-11-22 13:48:29', '5']\n",
"['2018-11-22 13:49:32', '6']\n",
"['2018-11-22 13:50:18', '9']\n",
"['2018-11-22 13:57:28', '11']\n",
"['2018-11-22 13:59:24', '11']\n",
"['2018-11-22 14:00:19', '12']\n",
"['2018-11-22 14:02:30', '12']\n",
"['2018-11-22 14:02:45', '11']\n",
"['2018-11-22 14:04:44', '13']\n",
"['2018-11-22 14:06:42', '13']\n",
"['2018-11-22 14:09:46', '10']\n",
"['2018-11-22 14:10:33', '9']\n",
"['2018-11-22 14:10:41', '10']\n",
"['2018-11-22 14:11:34', '9']\n",
"['2018-11-22 14:16:28', '9']\n",
"['2018-11-22 14:16:41', '9']\n",
"['2018-11-22 14:17:09', '10']\n",
"['2018-11-22 14:18:00', '10']\n",
"['2018-11-22 14:18:21', '7']\n",
"['2018-11-22 14:19:12', '5']\n",
"['2018-11-22 14:20:38', '5']\n",
"['2018-11-22 14:21:04', '5']\n",
"['2018-11-22 14:21:17', '5']\n",
"['2018-11-22 14:22:42', '4']\n",
"['2018-11-22 14:25:11', '2']\n",
"['2018-11-22 14:26:10', '2']\n",
"['2018-11-22 14:28:20', '2']\n",
"['2018-11-22 14:30:31', '2']\n",
"['2018-11-22 14:32:41', '1']\n",
"['2018-11-22 14:34:52', '0']\n",
"['2018-11-22 14:37:03', '1']\n",
"['2018-11-22 14:37:30', '7']\n",
"['2018-11-22 14:39:36', '8']\n",
"['2018-11-22 14:42:35', '13']\n",
"['2018-11-22 14:43:17', '17']\n",
"['2018-11-22 14:44:07', '16']\n",
"['2018-11-22 14:45:46', '16']\n",
"['2018-11-22 14:45:52', '17']\n",
"['2018-11-22 14:46:35', '18']\n",
"['2018-11-22 14:47:24', '20']\n",
"['2018-11-22 14:48:10', '20']\n",
"['2018-11-22 14:49:44', '20']\n",
"['2018-11-22 14:50:55', '20']\n",
"['2018-11-22 14:51:16', '21']\n",
"['2018-11-22 14:52:05', '19']\n",
"['2018-11-22 14:53:13', '21']\n",
"['2018-11-22 14:56:43', '24']\n",
"['2018-11-22 14:58:10', '29']\n",
"['2018-11-22 15:00:30', '26']\n",
"['2018-11-22 15:02:29', '26']\n",
"['2018-11-22 15:03:34', '24']\n",
"['2018-11-22 15:04:20', '26']\n",
"['2018-11-22 15:06:35', '18']\n",
"['2018-11-22 15:08:49', '18']\n",
"['2018-11-22 15:09:12', '19']\n",
"['2018-11-22 15:09:57', '21']\n",
"['2018-11-22 15:13:12', '21']\n",
"['2018-11-22 15:14:06', '36']\n",
"['2018-11-22 15:15:26', '36']\n",
"['2018-11-22 15:16:24', '30']\n",
"['2018-11-22 15:17:17', '31']\n",
"['2018-11-22 15:18:10', '23']\n",
"['2018-11-22 15:18:53', '21']\n",
"['2018-11-22 15:20:01', '20']\n",
"['2018-11-22 15:21:40', '20']\n",
"['2018-11-22 15:22:06', '13']\n",
"['2018-11-22 15:23:14', '6']\n",
"['2018-11-22 15:24:23', '6']\n",
"['2018-11-22 15:24:51', '6']\n",
"['2018-11-22 15:26:46', '6']\n",
"['2018-11-22 15:27:15', '4']\n",
"['2018-11-22 15:28:10', '3']\n",
"['2018-11-22 15:28:53', '0']\n",
"['2018-11-22 15:38:17', '2']\n",
"['2018-11-22 15:38:49', '3']\n",
"['2018-11-22 15:39:39', '5']\n",
"['2018-11-22 15:40:38', '5']\n",
"['2018-11-22 15:41:05', '5']\n",
"['2018-11-22 15:41:43', '7']\n",
"['2018-11-22 15:42:32', '10']\n",
"['2018-11-22 15:42:43', '11']\n",
"['2018-11-22 15:43:27', '11']\n",
"['2018-11-22 15:44:11', '11']\n",
"['2018-11-22 15:44:16', '11']\n",
"['2018-11-22 15:45:21', '11']\n",
"['2018-11-22 15:45:39', '11']\n",
"['2018-11-22 15:46:25', '12']\n",
"['2018-11-22 15:47:17', '16']\n",
"['2018-11-22 15:48:03', '17']\n",
"['2018-11-22 15:49:24', '17']\n",
"['2018-11-22 15:49:50', '17']\n",
"['2018-11-22 15:49:55', '19']\n",
"['2018-11-22 15:51:20', '19']\n",
"['2018-11-22 15:52:02', '19']\n",
"['2018-11-22 15:55:17', '21']\n",
"['2018-11-22 15:58:08', '21']\n",
"['2018-11-22 15:59:04', '26']\n",
"['2018-11-22 16:01:02', '22']\n",
"['2018-11-22 16:01:52', '25']\n",
"['2018-11-22 16:04:17', '25']\n",
"['2018-11-22 16:05:52', '24']\n",
"['2018-11-22 16:08:25', '24']\n",
"['2018-11-22 16:08:57', '24']\n",
"['2018-11-22 16:09:10', '22']\n",
"['2018-11-22 16:10:26', '21']\n",
"['2018-11-22 16:11:23', '20']\n",
"['2018-11-22 16:12:26', '19']\n",
"['2018-11-22 16:13:15', '17']\n",
"['2018-11-22 16:14:01', '17']\n",
"['2018-11-22 16:14:25', '17']\n",
"['2018-11-22 16:14:49', '16']\n",
"['2018-11-22 16:15:54', '14']\n",
"['2018-11-22 16:16:44', '12']\n",
"['2018-11-22 16:17:25', '12']\n",
"['2018-11-22 16:18:46', '11']\n",
"['2018-11-22 16:21:37', '3']\n",
"['2018-11-22 16:22:34', '0']\n",
"['2018-11-22 16:25:16', '0']\n",
"['2018-11-22 16:27:58', '0']\n",
"['2018-11-22 16:30:41', '0']\n",
"['2018-11-22 16:33:23', '0']\n",
"['2018-11-22 16:36:06', '2']\n",
"['2018-11-22 16:36:44', '13']\n",
"['2018-11-22 16:40:10', '13']\n",
"['2018-11-22 16:42:46', '15']\n",
"['2018-11-22 16:43:38', '14']\n",
"['2018-11-22 16:44:01', '14']\n",
"['2018-11-22 16:44:41', '14']\n",
"['2018-11-22 16:44:55', '14']\n",
"['2018-11-22 16:45:17', '14']\n",
"['2018-11-22 16:45:41', '14']\n",
"['2018-11-22 16:45:53', '14']\n",
"['2018-11-22 16:47:31', '14']\n",
"['2018-11-22 16:48:24', '18']\n",
"['2018-11-22 16:49:17', '22']\n",
"['2018-11-22 16:50:03', '21']\n",
"['2018-11-22 16:51:26', '23']\n",
"['2018-11-22 16:53:54', '20']\n",
"['2018-11-22 16:55:16', '22']\n",
"['2018-11-22 16:58:06', '21']\n",
"['2018-11-22 16:59:19', '19']\n",
"['2018-11-22 17:00:21', '19']\n",
"['2018-11-22 17:02:15', '19']\n",
"['2018-11-22 17:03:38', '16']\n",
"['2018-11-22 17:06:24', '20']\n",
"['2018-11-22 17:07:13', '17']\n",
"['2018-11-22 17:08:02', '18']\n",
"['2018-11-22 17:10:15', '19']\n",
"['2018-11-22 17:10:57', '19']\n",
"['2018-11-22 17:11:30', '19']\n",
"['2018-11-22 17:12:26', '14']\n",
"['2018-11-22 17:13:25', '12']\n",
"['2018-11-22 17:14:12', '10']\n",
"['2018-11-22 17:14:56', '10']\n",
"['2018-11-22 17:15:46', '10']\n",
"['2018-11-22 17:16:19', '9']\n",
"['2018-11-22 17:17:09', '7']\n",
"['2018-11-22 17:18:13', '7']\n",
"['2018-11-22 17:19:17', '6']\n",
"['2018-11-22 17:20:27', '8']\n",
"['2018-11-22 17:22:30', '8']\n",
"['2018-11-22 17:23:01', '8']\n",
"['2018-11-22 17:23:27', '5']\n",
"['2018-11-22 17:24:13', '0']\n",
"['2018-11-22 17:37:34', '0']\n",
"['2018-11-22 17:38:11', '0']\n",
"['2018-11-22 17:38:50', '0']\n",
"['2018-11-22 17:39:26', '0']\n",
"['2018-11-22 17:40:05', '0']\n",
"['2018-11-22 17:40:36', '2']\n",
"['2018-11-22 17:41:33', '3']\n",
"['2018-11-22 17:42:37', '3']\n",
"['2018-11-22 17:42:57', '4']\n",
"['2018-11-22 17:43:38', '5']\n",
"['2018-11-22 17:44:28', '5']\n",
"['2018-11-22 17:45:05', '6']\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-22 17:45:53', '8']\n",
"['2018-11-22 17:46:41', '11']\n",
"['2018-11-22 17:47:42', '13']\n",
"['2018-11-22 17:48:34', '14']\n",
"['2018-11-22 17:50:02', '14']\n",
"['2018-11-22 17:50:27', '16']\n",
"['2018-11-22 17:51:28', '16']\n",
"['2018-11-22 17:52:58', '17']\n",
"['2018-11-22 17:53:50', '18']\n",
"['2018-11-22 17:59:53', '20']\n",
"['2018-11-22 18:02:19', '20']\n",
"['2018-11-22 18:03:51', '24']\n",
"['2018-11-22 18:05:30', '20']\n",
"['2018-11-22 18:06:24', '17']\n",
"['2018-11-22 18:08:15', '15']\n",
"['2018-11-22 18:09:27', '16']\n",
"['2018-11-22 18:12:03', '17']\n",
"['2018-11-22 18:12:37', '16']\n",
"['2018-11-22 18:12:46', '16']\n",
"['2018-11-22 18:17:36', '16']\n",
"['2018-11-22 18:18:04', '12']\n",
"['2018-11-22 18:19:21', '9']\n",
"['2018-11-22 18:20:18', '9']\n",
"['2018-11-22 18:20:36', '9']\n",
"['2018-11-22 18:20:51', '8']\n",
"['2018-11-22 18:21:42', '7']\n",
"['2018-11-22 18:22:43', '6']\n",
"['2018-11-22 18:23:26', '5']\n",
"['2018-11-22 18:24:05', '4']\n",
"['2018-11-22 18:25:38', '4']\n",
"['2018-11-22 18:27:36', '4']\n",
"['2018-11-22 18:28:21', '2']\n",
"['2018-11-22 18:30:23', '2']\n",
"['2018-11-22 18:32:26', '2']\n",
"['2018-11-22 18:34:28', '2']\n",
"['2018-11-22 18:36:31', '0']\n",
"['2018-11-22 18:38:34', '2']\n",
"['2018-11-22 18:39:20', '7']\n",
"['2018-11-22 18:43:48', '30']\n",
"['2018-11-22 18:46:50', '30']\n",
"['2018-11-22 18:47:28', '31']\n",
"['2018-11-22 18:48:09', '33']\n",
"['2018-11-22 18:49:19', '33']\n",
"['2018-11-22 18:49:32', '33']\n",
"['2018-11-22 18:49:52', '33']\n",
"['2018-11-22 18:50:08', '34']\n",
"['2018-11-22 18:50:50', '34']\n",
"['2018-11-22 18:52:44', '35']\n",
"['2018-11-22 18:53:41', '38']\n",
"['2018-11-22 18:54:34', '36']\n",
"['2018-11-22 18:56:22', '36']\n",
"['2018-11-22 18:56:34', '34']\n",
"['2018-11-22 18:58:31', '33']\n",
"['2018-11-22 18:59:38', '38']\n",
"['2018-11-22 19:02:47', '45']\n",
"['2018-11-22 19:03:31', '41']\n",
"['2018-11-22 19:05:18', '39']\n",
"['2018-11-22 19:06:10', '31']\n",
"['2018-11-22 19:09:02', '25']\n",
"['2018-11-22 19:11:59', '25']\n",
"['2018-11-22 19:12:10', '22']\n",
"['2018-11-22 19:12:49', '21']\n",
"['2018-11-22 19:16:39', '16']\n",
"['2018-11-22 19:17:21', '16']\n",
"['2018-11-22 19:17:46', '16']\n",
"['2018-11-22 19:18:36', '13']\n",
"['2018-11-22 19:19:30', '13']\n",
"['2018-11-22 19:19:48', '16']\n",
"['2018-11-22 19:20:37', '15']\n",
"['2018-11-22 19:21:43', '14']\n",
"['2018-11-22 19:22:26', '13']\n",
"['2018-11-22 19:23:13', '11']\n",
"['2018-11-22 19:24:18', '5']\n",
"['2018-11-22 19:25:37', '4']\n",
"['2018-11-22 19:26:26', '4']\n",
"['2018-11-22 19:26:50', '2']\n",
"['2018-11-22 19:27:35', '1']\n",
"['2018-11-22 19:28:22', '1']\n",
"['2018-11-22 19:28:35', '0']\n",
"['2018-11-22 19:39:34', '0']\n",
"['2018-11-22 19:40:25', '2']\n",
"['2018-11-22 19:41:50', '2']\n",
"['2018-11-22 19:42:34', '2']\n",
"['2018-11-22 19:43:54', '2']\n",
"['2018-11-22 19:44:28', '2']\n",
"['2018-11-22 19:45:47', '2']\n",
"['2018-11-22 19:46:47', '3']\n",
"['2018-11-22 19:47:52', '7']\n",
"['2018-11-22 19:48:53', '8']\n",
"['2018-11-22 19:49:01', '9']\n",
"['2018-11-22 19:50:12', '10']\n",
"['2018-11-22 19:51:08', '11']\n",
"['2018-11-22 19:52:11', '13']\n",
"['2018-11-22 19:53:28', '11']\n",
"['2018-11-22 19:54:43', '12']\n",
"['2018-11-22 19:56:30', '12']\n",
"['2018-11-22 19:57:04', '12']\n",
"['2018-11-22 19:57:15', '11']\n",
"['2018-11-22 19:59:26', '11']\n",
"['2018-11-22 20:00:13', '12']\n",
"['2018-11-22 20:04:48', '15']\n",
"['2018-11-22 20:07:22', '15']\n",
"['2018-11-22 20:08:48', '17']\n",
"['2018-11-22 20:09:49', '15']\n",
"['2018-11-22 20:11:48', '21']\n",
"['2018-11-22 20:14:32', '21']\n",
"['2018-11-22 20:16:21', '24']\n",
"['2018-11-22 20:19:53', '23']\n",
"['2018-11-22 20:20:49', '24']\n",
"['2018-11-22 20:20:57', '21']\n",
"['2018-11-22 20:21:54', '17']\n",
"['2018-11-22 20:23:09', '17']\n",
"['2018-11-22 20:23:19', '14']\n",
"['2018-11-22 20:24:31', '14']\n",
"['2018-11-22 20:24:57', '13']\n",
"['2018-11-22 20:25:19', '13']\n",
"['2018-11-22 20:26:24', '14']\n",
"['2018-11-22 20:27:36', '12']\n",
"['2018-11-22 20:28:44', '12']\n",
"['2018-11-22 20:29:05', '12']\n",
"['2018-11-22 20:30:31', '11']\n",
"['2018-11-22 20:32:59', '5']\n",
"['2018-11-22 20:33:47', '2']\n",
"['2018-11-22 20:34:34', '2']\n",
"['2018-11-22 20:35:21', '2']\n",
"['2018-11-22 20:36:09', '2']\n",
"['2018-11-22 20:36:56', '0']\n",
"['2018-11-22 20:37:44', '1']\n",
"['2018-11-22 20:38:04', '4']\n",
"['2018-11-22 20:40:40', '4']\n",
"['2018-11-22 20:43:23', '4']\n",
"['2018-11-22 20:43:40', '2']\n",
"['2018-11-22 20:44:36', '2']\n",
"['2018-11-22 20:45:20', '2']\n",
"['2018-11-22 20:45:36', '2']\n",
"['2018-11-22 20:46:01', '2']\n",
"['2018-11-22 20:46:28', '2']\n",
"['2018-11-22 20:46:50', '2']\n",
"['2018-11-22 20:49:53', '2']\n",
"['2018-11-22 20:55:44', '4']\n",
"['2018-11-22 20:56:36', '5']\n",
"['2018-11-22 20:57:26', '6']\n",
"['2018-11-22 20:58:14', '7']\n",
"['2018-11-22 21:01:06', '7']\n",
"['2018-11-22 21:02:18', '12']\n",
"['2018-11-22 21:04:41', '11']\n",
"['2018-11-22 21:06:09', '11']\n",
"['2018-11-22 21:06:39', '14']\n",
"['2018-11-22 21:07:26', '11']\n",
"['2018-11-22 21:09:51', '12']\n",
"['2018-11-22 21:12:21', '11']\n",
"['2018-11-22 21:13:03', '9']\n",
"['2018-11-22 21:14:03', '9']\n",
"['2018-11-22 21:16:20', '9']\n",
"['2018-11-22 21:17:11', '9']\n",
"['2018-11-22 21:17:40', '9']\n",
"['2018-11-22 21:18:40', '5']\n",
"['2018-11-22 21:20:01', '1']\n",
"['2018-11-22 21:20:57', '2']\n",
"['2018-11-22 21:21:53', '3']\n",
"['2018-11-22 21:22:42', '4']\n",
"['2018-11-22 21:23:39', '8']\n",
"['2018-11-22 21:24:30', '8']\n",
"['2018-11-22 21:25:37', '7']\n",
"['2018-11-22 21:26:46', '7']\n",
"['2018-11-22 21:27:07', '10']\n",
"['2018-11-22 21:31:12', '9']\n",
"['2018-11-22 21:32:05', '0']\n",
"['2018-11-22 21:33:58', '1']\n",
"['2018-11-22 21:35:43', '1']\n",
"['2018-11-22 21:39:40', '1']\n",
"['2018-11-22 21:39:53', '1']\n",
"['2018-11-22 21:40:26', '0']\n",
"['2018-11-22 21:41:24', '1']\n",
"['2018-11-22 21:42:27', '3']\n",
"['2018-11-22 21:42:36', '3']\n",
"['2018-11-22 21:43:23', '3']\n",
"['2018-11-22 21:44:13', '3']\n",
"['2018-11-22 21:44:53', '3']\n",
"['2018-11-22 21:45:16', '3']\n",
"['2018-11-22 21:46:10', '3']\n",
"['2018-11-22 21:46:42', '3']\n",
"['2018-11-22 21:47:42', '3']\n",
"['2018-11-22 21:48:11', '3']\n",
"['2018-11-22 21:48:20', '3']\n",
"['2018-11-22 21:49:36', '3']\n",
"['2018-11-22 21:49:52', '3']\n",
"['2018-11-22 21:54:15', '3']\n",
"['2018-11-22 21:55:43', '3']\n",
"['2018-11-22 21:56:12', '3']\n",
"['2018-11-22 21:57:43', '3']\n",
"['2018-11-22 21:58:52', '3']\n",
"['2018-11-22 22:00:13', '2']\n",
"['2018-11-22 22:01:18', '0']\n",
"['2018-11-25 06:13:00', '1']\n",
"['2018-11-25 06:13:41', '2']\n",
"['2018-11-25 06:16:00', '2']\n",
"['2018-11-25 06:16:28', '2']\n",
"['2018-11-25 06:17:29', '2']\n",
"['2018-11-25 06:18:00', '2']\n",
"['2018-11-25 06:18:36', '2']\n",
"['2018-11-25 06:19:01', '2']\n",
"['2018-11-25 06:19:19', '2']\n",
"['2018-11-25 06:20:37', '2']\n",
"['2018-11-25 06:21:19', '2']\n",
"['2018-11-25 06:21:41', '2']\n",
"['2018-11-25 06:22:32', '4']\n",
"['2018-11-25 06:23:00', '4']\n",
"['2018-11-25 06:23:39', '4']\n",
"['2018-11-25 06:24:00', '4']\n",
"['2018-11-25 06:24:19', '4']\n",
"['2018-11-25 06:26:00', '3']\n",
"['2018-11-25 06:26:43', '3']\n",
"['2018-11-25 06:30:00', '0']\n",
"['2018-11-25 07:19:00', '3']\n",
"['2018-11-25 07:20:55', '3']\n",
"['2018-11-25 07:21:26', '3']\n",
"['2018-11-25 07:22:00', '3']\n",
"['2018-11-25 07:23:30', '3']\n",
"['2018-11-25 07:24:00', '3']\n",
"['2018-11-25 07:24:46', '3']\n",
"['2018-11-25 07:26:00', '2']\n",
"['2018-11-25 07:26:33', '2']\n",
"['2018-11-25 07:27:08', '2']\n",
"['2018-11-25 07:27:32', '2']\n",
"['2018-11-25 07:28:46', '2']\n",
"['2018-11-25 07:29:23', '2']\n",
"['2018-11-25 07:30:00', '2']\n",
"['2018-11-25 07:30:49', '1']\n",
"['2018-11-25 07:31:41', '0']\n",
"['2018-11-25 07:32:00', '0']\n",
"['2018-11-25 07:34:36', '0']\n",
"['2018-11-25 07:35:00', '0']\n",
"['2018-11-25 07:40:00', '0']\n",
"['2018-11-25 07:40:41', '2']\n",
"['2018-11-25 07:43:00', '3']\n",
"['2018-11-25 07:43:28', '3']\n",
"['2018-11-25 07:44:29', '3']\n",
"['2018-11-25 07:45:00', '3']\n",
"['2018-11-25 07:45:36', '3']\n",
"['2018-11-25 07:46:01', '3']\n",
"['2018-11-25 07:46:19', '3']\n",
"['2018-11-25 07:47:37', '3']\n",
"['2018-11-25 07:48:19', '3']\n",
"['2018-11-25 07:48:41', '3']\n",
"['2018-11-25 07:49:32', '4']\n",
"['2018-11-25 07:50:00', '4']\n",
"['2018-11-25 07:50:39', '4']\n",
"['2018-11-25 07:51:00', '4']\n",
"['2018-11-25 07:51:19', '4']\n",
"['2018-11-25 07:53:00', '5']\n",
"['2018-11-25 07:53:47', '5']\n",
"['2018-11-25 07:58:00', '5']\n",
"['2018-11-25 07:59:00', '5']\n",
"['2018-11-25 08:00:26', '5']\n",
"['2018-11-25 08:02:00', '5']\n",
"['2018-11-25 08:03:00', '5']\n",
"['2018-11-25 08:05:00', '4']\n",
"['2018-11-25 08:06:00', '5']\n",
"['2018-11-25 08:07:01', '5']\n",
"['2018-11-25 08:07:43', '3']\n",
"['2018-11-25 08:08:07', '2']\n",
"['2018-11-25 08:08:51', '2']\n",
"['2018-11-25 08:09:38', '2']\n",
"['2018-11-25 08:10:00', '2']\n",
"['2018-11-25 08:10:43', '2']\n",
"['2018-11-25 08:11:19', '2']\n",
"['2018-11-25 08:12:00', '2']\n",
"['2018-11-25 08:12:53', '2']\n",
"['2018-11-25 08:13:45', '2']\n",
"['2018-11-25 08:14:30', '2']\n",
"['2018-11-25 08:14:55', '2']\n",
"['2018-11-25 08:16:20', '2']\n",
"['2018-11-25 08:17:16', '1']\n",
"['2018-11-25 08:18:00', '1']\n",
"['2018-11-25 08:19:00', '1']\n",
"['2018-11-25 08:19:10', '1']\n",
"['2018-11-25 08:19:32', '1']\n",
"['2018-11-25 08:19:47', '1']\n",
"['2018-11-25 08:20:11', '0']\n",
"['2018-11-25 08:20:33', '0']\n",
"['2018-11-25 08:21:00', '0']\n",
"['2018-11-25 08:25:00', '0']\n",
"['2018-11-25 08:25:40', '0']\n",
"['2018-11-25 08:26:09', '0']\n",
"['2018-11-25 08:26:44', '0']\n",
"['2018-11-25 08:27:12', '0']\n",
"['2018-11-25 08:27:32', '0']\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-25 08:28:00', '0']\n",
"['2018-11-25 08:28:44', '2']\n",
"['2018-11-25 08:31:22', '7']\n",
"['2018-11-25 08:32:00', '7']\n",
"['2018-11-25 08:32:39', '7']\n",
"['2018-11-25 08:33:36', '7']\n",
"['2018-11-25 08:34:00', '7']\n",
"['2018-11-25 08:34:39', '9']\n",
"['2018-11-25 08:35:22', '10']\n",
"['2018-11-25 08:35:55', '10']\n",
"['2018-11-25 08:37:00', '10']\n",
"['2018-11-25 08:38:00', '13']\n",
"['2018-11-25 08:38:49', '13']\n",
"['2018-11-25 08:39:33', '13']\n",
"['2018-11-25 08:40:05', '13']\n",
"['2018-11-25 08:42:00', '13']\n",
"['2018-11-25 08:43:00', '13']\n",
"['2018-11-25 08:45:00', '15']\n",
"['2018-11-25 08:46:00', '15']\n",
"['2018-11-25 08:48:04', '14']\n",
"['2018-11-25 08:49:00', '14']\n",
"['2018-11-25 08:50:00', '3']\n",
"['2018-11-25 08:53:12', '3']\n",
"['2018-11-25 08:54:04', '3']\n",
"['2018-11-25 08:55:00', '6']\n",
"['2018-11-25 08:56:30', '4']\n",
"['2018-11-25 08:57:00', '4']\n",
"['2018-11-25 08:57:46', '4']\n",
"['2018-11-25 08:59:00', '4']\n",
"['2018-11-25 08:59:33', '4']\n",
"['2018-11-25 09:00:08', '4']\n",
"['2018-11-25 09:00:32', '4']\n",
"['2018-11-25 09:01:46', '4']\n",
"['2018-11-25 09:02:23', '4']\n",
"['2018-11-25 09:03:00', '0']\n",
"['2018-11-25 09:03:30', '0']\n",
"['2018-11-25 09:03:52', '0']\n",
"['2018-11-25 09:04:12', '0']\n",
"['2018-11-25 09:04:34', '0']\n",
"['2018-11-25 09:05:03', '0']\n",
"['2018-11-25 09:05:32', '0']\n",
"['2018-11-25 09:06:00', '0']\n",
"['2018-11-25 09:23:00', '1']\n",
"['2018-11-25 09:23:36', '1']\n",
"['2018-11-25 09:24:00', '3']\n",
"['2018-11-25 09:24:30', '3']\n",
"['2018-11-25 09:24:51', '3']\n",
"['2018-11-25 09:25:19', '4']\n",
"['2018-11-25 09:25:42', '4']\n",
"['2018-11-25 09:26:00', '4']\n",
"['2018-11-25 09:26:36', '4']\n",
"['2018-11-25 09:27:01', '4']\n",
"['2018-11-25 09:27:19', '4']\n",
"['2018-11-25 09:28:37', '6']\n",
"['2018-11-25 09:29:19', '6']\n",
"['2018-11-25 09:29:41', '8']\n",
"['2018-11-25 09:30:32', '10']\n",
"['2018-11-25 09:31:00', '11']\n",
"['2018-11-25 09:31:39', '11']\n",
"['2018-11-25 09:32:00', '10']\n",
"['2018-11-25 09:32:19', '10']\n",
"['2018-11-25 09:34:00', '11']\n",
"['2018-11-25 09:34:47', '12']\n",
"['2018-11-25 09:39:00', '11']\n",
"['2018-11-25 09:40:00', '11']\n",
"['2018-11-25 09:41:26', '11']\n",
"['2018-11-25 09:43:00', '11']\n",
"['2018-11-25 09:44:00', '9']\n",
"['2018-11-25 09:46:00', '9']\n",
"['2018-11-25 09:47:00', '9']\n",
"['2018-11-25 09:48:01', '10']\n",
"['2018-11-25 09:48:43', '10']\n",
"['2018-11-25 09:49:07', '10']\n",
"['2018-11-25 09:49:51', '11']\n",
"['2018-11-25 09:50:38', '11']\n",
"['2018-11-25 09:51:00', '11']\n",
"['2018-11-25 09:51:43', '9']\n",
"['2018-11-25 09:52:19', '9']\n",
"['2018-11-25 09:53:00', '9']\n",
"['2018-11-25 09:53:47', '8']\n",
"['2018-11-25 09:54:34', '8']\n",
"['2018-11-25 09:55:13', '8']\n",
"['2018-11-25 09:55:35', '8']\n",
"['2018-11-25 09:58:00', '8']\n",
"['2018-11-25 10:00:03', '2']\n",
"['2018-11-25 10:01:00', '2']\n",
"['2018-11-25 10:02:00', '1']\n",
"['2018-11-25 10:02:25', '1']\n",
"['2018-11-25 10:03:10', '1']\n",
"['2018-11-25 10:04:00', '0']\n",
"['2018-11-25 10:10:00', '1']\n",
"['2018-11-25 10:10:32', '1']\n",
"['2018-11-25 10:13:00', '1']\n",
"['2018-11-25 10:15:29', '3']\n",
"['2018-11-25 10:16:19', '4']\n",
"['2018-11-25 10:17:12', '4']\n",
"['2018-11-25 10:18:28', '5']\n",
"['2018-11-25 10:19:00', '6']\n",
"['2018-11-25 10:19:39', '6']\n",
"['2018-11-25 10:20:22', '6']\n",
"['2018-11-25 10:20:55', '5']\n",
"['2018-11-25 10:22:00', '5']\n",
"['2018-11-25 10:23:00', '7']\n",
"['2018-11-25 10:23:49', '8']\n",
"['2018-11-25 10:24:33', '8']\n",
"['2018-11-25 10:25:05', '8']\n",
"['2018-11-25 10:27:00', '9']\n",
"['2018-11-25 10:28:00', '9']\n",
"['2018-11-25 10:30:00', '13']\n",
"['2018-11-25 10:31:00', '13']\n",
"['2018-11-25 10:33:04', '13']\n",
"['2018-11-25 10:34:00', '13']\n",
"['2018-11-25 10:35:00', '23']\n",
"['2018-11-25 10:38:12', '23']\n",
"['2018-11-25 10:39:04', '26']\n",
"['2018-11-25 10:40:00', '27']\n",
"['2018-11-25 10:41:30', '19']\n",
"['2018-11-25 10:42:00', '17']\n",
"['2018-11-25 10:42:46', '17']\n",
"['2018-11-25 10:44:00', '16']\n",
"['2018-11-25 10:44:33', '17']\n",
"['2018-11-25 10:45:08', '16']\n",
"['2018-11-25 10:45:32', '14']\n",
"['2018-11-25 10:46:46', '14']\n",
"['2018-11-25 10:47:23', '9']\n",
"['2018-11-25 10:48:00', '9']\n",
"['2018-11-25 10:48:49', '9']\n",
"['2018-11-25 10:49:41', '9']\n",
"['2018-11-25 10:50:00', '9']\n",
"['2018-11-25 10:52:36', '7']\n",
"['2018-11-25 10:53:00', '0']\n",
"['2018-11-25 11:05:00', '6']\n",
"['2018-11-25 11:05:55', '9']\n",
"['2018-11-25 11:09:00', '9']\n",
"['2018-11-25 11:09:28', '10']\n",
"['2018-11-25 11:10:29', '10']\n",
"['2018-11-25 11:11:00', '10']\n",
"['2018-11-25 11:11:36', '10']\n",
"['2018-11-25 11:12:01', '10']\n",
"['2018-11-25 11:12:19', '10']\n",
"['2018-11-25 11:13:37', '9']\n",
"['2018-11-25 11:14:19', '18']\n",
"['2018-11-25 11:14:41', '22']\n",
"['2018-11-25 11:15:32', '27']\n",
"['2018-11-25 11:16:00', '27']\n",
"['2018-11-25 11:16:39', '27']\n",
"['2018-11-25 11:17:00', '31']\n",
"['2018-11-25 11:17:19', '31']\n",
"['2018-11-25 11:19:00', '28']\n",
"['2018-11-25 11:19:47', '27']\n",
"['2018-11-25 11:24:00', '37']\n",
"['2018-11-25 11:25:00', '39']\n",
"['2018-11-25 11:26:26', '38']\n",
"['2018-11-25 11:28:00', '41']\n",
"['2018-11-25 11:29:00', '44']\n",
"['2018-11-25 11:31:00', '50']\n",
"['2018-11-25 11:32:00', '65']\n",
"['2018-11-25 11:33:01', '64']\n",
"['2018-11-25 11:33:43', '63']\n",
"['2018-11-25 11:34:07', '63']\n",
"['2018-11-25 11:34:51', '63']\n",
"['2018-11-25 11:35:38', '63']\n",
"['2018-11-25 11:36:00', '58']\n",
"['2018-11-25 11:36:43', '58']\n",
"['2018-11-25 11:37:19', '58']\n",
"['2018-11-25 11:38:00', '58']\n",
"['2018-11-25 11:38:53', '58']\n",
"['2018-11-25 11:39:45', '58']\n",
"['2018-11-25 11:40:30', '58']\n",
"['2018-11-25 11:40:55', '58']\n",
"['2018-11-25 11:42:20', '58']\n",
"['2018-11-25 11:43:16', '0']\n",
"['2018-11-25 11:44:00', '0']\n",
"['2018-11-25 11:45:00', '0']\n",
"['2018-11-25 11:45:10', '0']\n",
"['2018-11-25 11:45:32', '0']\n",
"['2018-11-25 11:45:47', '0']\n",
"['2018-11-25 11:46:11', '0']\n",
"['2018-11-25 11:46:33', '0']\n",
"['2018-11-25 11:47:00', '0']\n",
"['2018-11-25 11:55:00', '0']\n",
"['2018-11-25 11:55:40', '0']\n",
"['2018-11-25 11:56:09', '0']\n",
"['2018-11-25 11:56:44', '0']\n",
"['2018-11-25 11:57:12', '0']\n",
"['2018-11-25 11:57:32', '0']\n",
"['2018-11-25 11:58:00', '0']\n",
"['2018-11-25 11:58:44', '0']\n",
"['2018-11-25 12:01:22', '0']\n",
"['2018-11-25 12:02:00', '0']\n",
"['2018-11-25 12:02:39', '0']\n",
"['2018-11-25 12:03:36', '0']\n",
"['2018-11-25 12:04:00', '0']\n",
"['2018-11-25 12:04:39', '0']\n",
"['2018-11-25 12:05:22', '0']\n",
"['2018-11-25 12:05:55', '0']\n",
"['2018-11-25 12:07:00', '0']\n",
"['2018-11-25 12:08:00', '0']\n",
"['2018-11-25 12:08:49', '22']\n",
"['2018-11-25 12:09:33', '23']\n",
"['2018-11-25 12:10:05', '23']\n",
"['2018-11-25 12:12:00', '17']\n",
"['2018-11-25 12:13:00', '12']\n",
"['2018-11-25 12:15:00', '12']\n",
"['2018-11-25 12:16:00', '14']\n",
"['2018-11-25 12:18:04', '18']\n",
"['2018-11-25 12:19:00', '18']\n",
"['2018-11-25 12:20:00', '38']\n",
"['2018-11-25 12:23:12', '39']\n",
"['2018-11-25 12:24:04', '39']\n",
"['2018-11-25 12:25:00', '44']\n",
"['2018-11-25 12:26:30', '41']\n",
"['2018-11-25 12:27:00', '41']\n",
"['2018-11-25 12:27:46', '39']\n",
"['2018-11-25 12:29:00', '39']\n",
"['2018-11-25 12:29:33', '39']\n",
"['2018-11-25 12:30:08', '38']\n",
"['2018-11-25 12:30:32', '13']\n",
"['2018-11-25 12:31:46', '13']\n",
"['2018-11-25 12:32:23', '13']\n",
"['2018-11-25 12:33:00', '13']\n",
"['2018-11-25 12:33:30', '13']\n",
"['2018-11-25 12:33:52', '13']\n",
"['2018-11-25 12:34:12', '13']\n",
"['2018-11-25 12:34:34', '2']\n",
"['2018-11-25 12:35:03', '2']\n",
"['2018-11-25 12:35:32', '2']\n",
"['2018-11-25 12:36:00', '0']\n",
"['2018-11-25 12:53:00', '1']\n",
"['2018-11-25 12:53:36', '1']\n",
"['2018-11-25 12:54:00', '1']\n",
"['2018-11-25 12:54:30', '1']\n",
"['2018-11-25 12:54:51', '-4']\n",
"['2018-11-25 12:55:19', '-4']\n",
"['2018-11-25 12:55:42', '-4']\n",
"['2018-11-25 12:56:00', '-4']\n",
"['2018-11-25 12:56:36', '-4']\n",
"['2018-11-25 12:57:01', '-4']\n",
"['2018-11-25 12:57:19', '-4']\n",
"['2018-11-25 12:58:37', '-4']\n",
"['2018-11-25 12:59:19', '-4']\n",
"['2018-11-25 12:59:41', '-2']\n",
"['2018-11-25 13:00:32', '-1']\n",
"['2018-11-25 13:01:00', '5']\n",
"['2018-11-25 13:01:39', '5']\n",
"['2018-11-25 13:02:00', '10']\n",
"['2018-11-25 13:02:19', '18']\n",
"['2018-11-25 13:04:00', '18']\n",
"['2018-11-25 13:04:47', '22']\n",
"['2018-11-25 13:09:00', '14']\n",
"['2018-11-25 13:10:00', '17']\n",
"['2018-11-25 13:11:26', '17']\n",
"['2018-11-25 13:13:00', '17']\n",
"['2018-11-25 13:14:00', '15']\n",
"['2018-11-25 13:16:00', '15']\n",
"['2018-11-25 13:17:00', '36']\n",
"['2018-11-25 13:18:01', '35']\n",
"['2018-11-25 13:18:43', '36']\n",
"['2018-11-25 13:19:07', '36']\n",
"['2018-11-25 13:19:51', '37']\n",
"['2018-11-25 13:20:38', '36']\n",
"['2018-11-25 13:21:00', '31']\n",
"['2018-11-25 13:21:43', '29']\n",
"['2018-11-25 13:22:19', '29']\n",
"['2018-11-25 13:23:00', '28']\n",
"['2018-11-25 13:23:47', '28']\n",
"['2018-11-25 13:24:34', '26']\n",
"['2018-11-25 13:25:13', '25']\n",
"['2018-11-25 13:25:35', '25']\n",
"['2018-11-25 13:28:00', '25']\n",
"['2018-11-25 13:30:03', '5']\n",
"['2018-11-25 13:31:00', '2']\n",
"['2018-11-25 13:32:00', '0']\n",
"['2018-11-25 13:32:25', '0']\n",
"['2018-11-25 13:33:10', '0']\n",
"['2018-11-25 13:34:00', '0']\n",
"['2018-11-25 13:40:00', '2']\n",
"['2018-11-25 13:40:32', '22']\n",
"['2018-11-25 13:43:00', '22']\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-25 13:45:29', '22']\n",
"['2018-11-25 13:46:19', '24']\n",
"['2018-11-25 13:47:12', '26']\n",
"['2018-11-25 13:48:28', '26']\n",
"['2018-11-25 13:49:00', '28']\n",
"['2018-11-25 13:49:39', '28']\n",
"['2018-11-25 13:50:22', '28']\n",
"['2018-11-25 13:50:55', '28']\n",
"['2018-11-25 13:52:00', '28']\n",
"['2018-11-25 13:53:00', '28']\n",
"['2018-11-25 13:53:49', '32']\n",
"['2018-11-25 13:54:33', '28']\n",
"['2018-11-25 13:55:05', '30']\n",
"['2018-11-25 13:57:00', '34']\n",
"['2018-11-25 13:58:00', '31']\n",
"['2018-11-25 14:00:00', '33']\n",
"['2018-11-25 14:01:00', '30']\n",
"['2018-11-25 14:03:04', '30']\n",
"['2018-11-25 14:04:00', '28']\n",
"['2018-11-25 14:05:00', '40']\n",
"['2018-11-25 14:08:12', '40']\n",
"['2018-11-25 14:09:04', '39']\n",
"['2018-11-25 14:10:00', '38']\n",
"['2018-11-25 14:11:30', '38']\n",
"['2018-11-25 14:12:00', '38']\n",
"['2018-11-25 14:12:46', '38']\n",
"['2018-11-25 14:14:00', '37']\n",
"['2018-11-25 14:14:33', '36']\n",
"['2018-11-25 14:15:08', '35']\n",
"['2018-11-25 14:15:32', '25']\n",
"['2018-11-25 14:16:46', '25']\n",
"['2018-11-25 14:17:23', '22']\n",
"['2018-11-25 14:18:00', '19']\n",
"['2018-11-25 14:18:49', '19']\n",
"['2018-11-25 14:19:41', '19']\n",
"['2018-11-25 14:20:00', '16']\n",
"['2018-11-25 14:22:36', '10']\n",
"['2018-11-25 14:23:00', '0']\n",
"['2018-11-25 14:34:00', '12']\n",
"['2018-11-25 14:35:09', '14']\n",
"['2018-11-25 14:39:00', '14']\n",
"['2018-11-25 14:39:28', '14']\n",
"['2018-11-25 14:40:29', '16']\n",
"['2018-11-25 14:41:00', '15']\n",
"['2018-11-25 14:41:36', '14']\n",
"['2018-11-25 14:42:01', '15']\n",
"['2018-11-25 14:42:19', '15']\n",
"['2018-11-25 14:43:37', '15']\n",
"['2018-11-25 14:44:19', '15']\n",
"['2018-11-25 14:44:41', '15']\n",
"['2018-11-25 14:45:32', '15']\n",
"['2018-11-25 14:46:00', '16']\n",
"['2018-11-25 14:47:18', '16']\n",
"['2018-11-25 14:48:00', '16']\n",
"['2018-11-25 14:48:19', '18']\n",
"['2018-11-25 14:50:00', '17']\n",
"['2018-11-25 14:50:47', '16']\n",
"['2018-11-25 14:55:00', '14']\n",
"['2018-11-25 14:56:00', '14']\n",
"['2018-11-25 14:57:26', '16']\n",
"['2018-11-25 14:59:00', '16']\n",
"['2018-11-25 15:00:00', '17']\n",
"['2018-11-25 15:02:00', '17']\n",
"['2018-11-25 15:03:00', '0']\n",
"['2018-11-25 15:04:31', '0']\n",
"['2018-11-25 15:05:35', '0']\n",
"['2018-11-25 15:06:11', '0']\n",
"['2018-11-25 15:07:16', '0']\n",
"['2018-11-25 15:08:27', '0']\n",
"['2018-11-25 15:09:00', '0']\n",
"['2018-11-25 15:10:04', '0']\n",
"['2018-11-25 15:10:59', '0']\n",
"['2018-11-25 15:12:00', '0']\n",
"['2018-11-25 15:12:53', '0']\n",
"['2018-11-25 15:13:45', '0']\n",
"['2018-11-25 15:14:30', '0']\n",
"['2018-11-25 15:14:55', '0']\n",
"['2018-11-25 15:16:20', '0']\n",
"['2018-11-25 15:17:16', '0']\n",
"['2018-11-25 15:18:00', '0']\n",
"['2018-11-25 15:19:00', '0']\n",
"['2018-11-25 15:19:15', '0']\n",
"['2018-11-25 15:19:47', '0']\n",
"['2018-11-25 15:20:10', '0']\n",
"['2018-11-25 15:20:46', '0']\n",
"['2018-11-25 15:21:19', '0']\n",
"['2018-11-25 15:22:00', '0']\n",
"['2018-11-25 15:37:00', '1']\n",
"['2018-11-25 15:37:53', '1']\n",
"['2018-11-25 15:38:32', '1']\n",
"['2018-11-25 15:39:19', '1']\n",
"['2018-11-25 15:39:56', '1']\n",
"['2018-11-25 15:40:22', '1']\n",
"['2018-11-25 15:41:00', '19']\n",
"['2018-11-25 15:41:44', '39']\n",
"['2018-11-25 15:44:22', '39']\n",
"['2018-11-25 15:45:00', '41']\n",
"['2018-11-25 15:45:39', '41']\n",
"['2018-11-25 15:46:36', '41']\n",
"['2018-11-25 15:47:00', '40']\n",
"['2018-11-25 15:47:52', '40']\n",
"['2018-11-25 15:48:49', '42']\n",
"['2018-11-25 15:49:33', '42']\n",
"['2018-11-25 15:51:00', '42']\n",
"['2018-11-25 15:52:12', '44']\n",
"['2018-11-25 15:53:11', '44']\n",
"['2018-11-25 15:54:04', '42']\n",
"['2018-11-25 15:54:42', '42']\n",
"['2018-11-25 15:57:00', '29']\n",
"['2018-11-25 15:58:00', '44']\n",
"['2018-11-25 16:00:00', '41']\n",
"['2018-11-25 16:01:00', '42']\n",
"['2018-11-25 16:03:04', '42']\n",
"['2018-11-25 16:04:00', '42']\n",
"['2018-11-25 16:05:00', '37']\n",
"['2018-11-25 16:08:12', '38']\n",
"['2018-11-25 16:09:04', '35']\n",
"['2018-11-25 16:10:00', '35']\n",
"['2018-11-25 16:11:30', '33']\n",
"['2018-11-25 16:12:00', '33']\n",
"['2018-11-25 16:12:46', '32']\n",
"['2018-11-25 16:14:00', '25']\n",
"['2018-11-25 16:14:33', '24']\n",
"['2018-11-25 16:15:08', '18']\n",
"['2018-11-25 16:15:32', '14']\n",
"['2018-11-25 16:16:46', '15']\n",
"['2018-11-25 16:17:23', '13']\n",
"['2018-11-25 16:18:00', '11']\n",
"['2018-11-25 16:18:49', '11']\n",
"['2018-11-25 16:19:41', '11']\n",
"['2018-11-25 16:20:00', '8']\n",
"['2018-11-25 16:24:21', '4']\n",
"['2018-11-25 16:25:00', '0']\n",
"['2018-11-25 16:34:00', '4']\n",
"['2018-11-25 16:35:09', '6']\n",
"['2018-11-25 16:39:00', '6']\n",
"['2018-11-25 16:39:28', '6']\n",
"['2018-11-25 16:40:29', '7']\n",
"['2018-11-25 16:41:00', '7']\n",
"['2018-11-25 16:41:36', '8']\n",
"['2018-11-25 16:42:01', '10']\n",
"['2018-11-25 16:42:19', '30']\n",
"['2018-11-25 16:43:37', '30']\n",
"['2018-11-25 16:44:19', '28']\n",
"['2018-11-25 16:44:41', '28']\n",
"['2018-11-25 16:45:32', '25']\n",
"['2018-11-25 16:46:00', '22']\n",
"['2018-11-25 16:47:18', '20']\n",
"['2018-11-25 16:48:00', '20']\n",
"['2018-11-25 16:48:19', '20']\n",
"['2018-11-25 16:50:00', '20']\n",
"['2018-11-25 16:50:47', '20']\n",
"['2018-11-25 16:55:00', '14']\n",
"['2018-11-25 16:56:00', '16']\n",
"['2018-11-25 16:57:26', '15']\n",
"['2018-11-25 16:59:00', '15']\n",
"['2018-11-25 17:00:00', '16']\n",
"['2018-11-25 17:02:00', '20']\n",
"['2018-11-25 17:03:00', '26']\n",
"['2018-11-25 17:04:31', '25']\n",
"['2018-11-25 17:05:35', '24']\n",
"['2018-11-25 17:06:11', '28']\n",
"['2018-11-25 17:07:16', '27']\n",
"['2018-11-25 17:08:27', '24']\n",
"['2018-11-25 17:09:00', '24']\n",
"['2018-11-25 17:10:04', '26']\n",
"['2018-11-25 17:10:59', '24']\n",
"['2018-11-25 17:12:00', '24']\n",
"['2018-11-25 17:12:53', '24']\n",
"['2018-11-25 17:13:45', '24']\n",
"['2018-11-25 17:14:30', '24']\n",
"['2018-11-25 17:14:55', '24']\n",
"['2018-11-25 17:16:20', '24']\n",
"['2018-11-25 17:17:16', '1']\n",
"['2018-11-25 17:18:00', '1']\n",
"['2018-11-25 17:19:00', '1']\n",
"['2018-11-25 17:19:15', '1']\n",
"['2018-11-25 17:19:47', '1']\n",
"['2018-11-25 17:20:10', '1']\n",
"['2018-11-25 17:20:46', '0']\n",
"['2018-11-25 17:21:19', '0']\n",
"['2018-11-25 17:22:00', '0']\n",
"['2018-11-25 17:37:00', '1']\n",
"['2018-11-25 17:37:53', '1']\n",
"['2018-11-25 17:38:32', '1']\n",
"['2018-11-25 17:39:19', '1']\n",
"['2018-11-25 17:39:56', '1']\n",
"['2018-11-25 17:40:22', '1']\n",
"['2018-11-25 17:41:00', '1']\n",
"['2018-11-25 17:41:44', '17']\n",
"['2018-11-25 17:44:22', '18']\n",
"['2018-11-25 17:45:00', '18']\n",
"['2018-11-25 17:45:39', '20']\n",
"['2018-11-25 17:46:36', '20']\n",
"['2018-11-25 17:47:00', '20']\n",
"['2018-11-25 17:47:52', '23']\n",
"['2018-11-25 17:48:49', '25']\n",
"['2018-11-25 17:49:33', '25']\n",
"['2018-11-25 17:51:00', '25']\n",
"['2018-11-25 17:52:12', '25']\n",
"['2018-11-25 17:53:11', '25']\n",
"['2018-11-25 17:54:04', '25']\n",
"['2018-11-25 17:54:42', '24']\n",
"['2018-11-25 17:57:00', '23']\n",
"['2018-11-25 17:58:00', '23']\n",
"['2018-11-25 18:00:00', '12']\n",
"['2018-11-25 18:01:00', '12']\n",
"['2018-11-25 18:03:04', '12']\n",
"['2018-11-25 18:04:00', '11']\n",
"['2018-11-25 18:05:00', '9']\n",
"['2018-11-25 18:08:12', '8']\n",
"['2018-11-25 18:09:04', '10']\n",
"['2018-11-25 18:10:00', '14']\n",
"['2018-11-25 18:11:30', '14']\n",
"['2018-11-25 18:12:00', '14']\n",
"['2018-11-25 18:12:46', '14']\n",
"['2018-11-25 18:14:00', '11']\n",
"['2018-11-25 18:14:33', '11']\n",
"['2018-11-25 18:15:08', '11']\n",
"['2018-11-25 18:15:32', '11']\n",
"['2018-11-25 18:16:46', '11']\n",
"['2018-11-25 18:17:23', '10']\n",
"['2018-11-25 18:18:00', '6']\n",
"['2018-11-25 18:18:49', '4']\n",
"['2018-11-25 18:19:41', '4']\n",
"['2018-11-25 18:20:00', '4']\n",
"['2018-11-25 18:24:21', '5']\n",
"['2018-11-25 18:25:00', '0']\n",
"['2018-11-25 18:34:00', '5']\n",
"['2018-11-25 18:35:09', '7']\n",
"['2018-11-25 18:39:00', '8']\n",
"['2018-11-25 18:39:28', '8']\n",
"['2018-11-25 18:40:29', '8']\n",
"['2018-11-25 18:41:00', '8']\n",
"['2018-11-25 18:41:36', '9']\n",
"['2018-11-25 18:42:01', '8']\n",
"['2018-11-25 18:42:19', '8']\n",
"['2018-11-25 18:43:37', '10']\n",
"['2018-11-25 18:44:19', '10']\n",
"['2018-11-25 18:44:41', '12']\n",
"['2018-11-25 18:45:32', '12']\n",
"['2018-11-25 18:46:00', '14']\n",
"['2018-11-25 18:47:18', '14']\n",
"['2018-11-25 18:48:00', '13']\n",
"['2018-11-25 18:48:19', '14']\n",
"['2018-11-25 18:50:00', '13']\n",
"['2018-11-25 18:50:47', '11']\n",
"['2018-11-25 18:55:00', '21']\n",
"['2018-11-25 18:56:00', '21']\n",
"['2018-11-25 18:57:26', '21']\n",
"['2018-11-25 18:59:00', '20']\n",
"['2018-11-25 19:00:00', '20']\n",
"['2018-11-25 19:02:00', '21']\n",
"['2018-11-25 19:03:00', '25']\n",
"['2018-11-25 19:04:31', '26']\n",
"['2018-11-25 19:05:35', '25']\n",
"['2018-11-25 19:06:11', '24']\n",
"['2018-11-25 19:07:16', '24']\n",
"['2018-11-25 19:08:27', '22']\n",
"['2018-11-25 19:09:00', '22']\n",
"['2018-11-25 19:10:04', '21']\n",
"['2018-11-25 19:10:59', '21']\n",
"['2018-11-25 19:12:00', '20']\n",
"['2018-11-25 19:12:53', '16']\n",
"['2018-11-25 19:13:45', '16']\n",
"['2018-11-25 19:14:30', '13']\n",
"['2018-11-25 19:14:55', '13']\n",
"['2018-11-25 19:16:20', '13']\n",
"['2018-11-25 19:17:16', '3']\n",
"['2018-11-25 19:18:00', '2']\n",
"['2018-11-25 19:19:00', '1']\n",
"['2018-11-25 19:19:15', '1']\n",
"['2018-11-25 19:19:47', '1']\n",
"['2018-11-25 19:20:10', '1']\n",
"['2018-11-25 19:20:46', '0']\n",
"['2018-11-25 19:21:19', '0']\n",
"['2018-11-25 19:22:00', '0']\n",
"['2018-11-25 19:37:00', '1']\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-25 19:37:53', '1']\n",
"['2018-11-25 19:38:32', '1']\n",
"['2018-11-25 19:39:19', '1']\n",
"['2018-11-25 19:39:56', '1']\n",
"['2018-11-25 19:40:22', '2']\n",
"['2018-11-25 19:41:00', '3']\n",
"['2018-11-25 19:41:44', '25']\n",
"['2018-11-25 19:44:22', '25']\n",
"['2018-11-25 19:45:00', '26']\n",
"['2018-11-25 19:45:39', '26']\n",
"['2018-11-25 19:46:36', '26']\n",
"['2018-11-25 19:47:00', '25']\n",
"['2018-11-25 19:47:52', '25']\n",
"['2018-11-25 19:48:49', '26']\n",
"['2018-11-25 19:49:33', '26']\n",
"['2018-11-25 19:51:00', '23']\n",
"['2018-11-25 19:52:12', '21']\n",
"['2018-11-25 19:53:11', '21']\n",
"['2018-11-25 19:54:04', '21']\n",
"['2018-11-25 19:54:42', '19']\n",
"['2018-11-25 19:57:00', '19']\n",
"['2018-11-25 19:58:00', '25']\n",
"['2018-11-25 20:00:00', '23']\n",
"['2018-11-25 20:01:00', '24']\n",
"['2018-11-25 20:03:04', '23']\n",
"['2018-11-25 20:04:00', '23']\n",
"['2018-11-25 20:05:00', '34']\n",
"['2018-11-25 20:08:12', '34']\n",
"['2018-11-25 20:09:04', '33']\n",
"['2018-11-25 20:10:00', '31']\n",
"['2018-11-25 20:11:30', '31']\n",
"['2018-11-25 20:12:00', '31']\n",
"['2018-11-25 20:12:46', '31']\n",
"['2018-11-25 20:14:00', '27']\n",
"['2018-11-25 20:14:33', '24']\n",
"['2018-11-25 20:15:08', '23']\n",
"['2018-11-25 20:15:32', '22']\n",
"['2018-11-25 20:16:46', '21']\n",
"['2018-11-25 20:17:23', '18']\n",
"['2018-11-25 20:18:00', '18']\n",
"['2018-11-25 20:18:49', '18']\n",
"['2018-11-25 20:19:41', '18']\n",
"['2018-11-25 20:20:00', '11']\n",
"['2018-11-25 20:24:21', '6']\n",
"['2018-11-25 20:25:00', '0']\n",
"['2018-11-25 20:34:00', '1']\n",
"['2018-11-25 20:35:09', '1']\n",
"['2018-11-25 20:39:00', '1']\n",
"['2018-11-25 20:39:28', '1']\n",
"['2018-11-25 20:40:29', '1']\n",
"['2018-11-25 20:41:00', '4']\n",
"['2018-11-25 20:41:36', '5']\n",
"['2018-11-25 20:42:01', '7']\n",
"['2018-11-25 20:42:19', '7']\n",
"['2018-11-25 20:43:37', '8']\n",
"['2018-11-25 20:44:19', '9']\n",
"['2018-11-25 20:44:41', '9']\n",
"['2018-11-25 20:45:32', '9']\n",
"['2018-11-25 20:46:00', '9']\n",
"['2018-11-25 20:47:18', '9']\n",
"['2018-11-25 20:48:00', '9']\n",
"['2018-11-25 20:48:19', '9']\n",
"['2018-11-25 20:50:00', '7']\n",
"['2018-11-25 20:50:47', '7']\n",
"['2018-11-25 20:55:00', '15']\n",
"['2018-11-25 20:56:00', '15']\n",
"['2018-11-25 20:57:26', '15']\n",
"['2018-11-25 20:59:00', '15']\n",
"['2018-11-25 21:00:00', '17']\n",
"['2018-11-25 21:02:00', '16']\n",
"['2018-11-25 21:03:00', '16']\n",
"['2018-11-25 21:04:31', '15']\n",
"['2018-11-25 21:05:35', '12']\n",
"['2018-11-25 21:06:11', '12']\n",
"['2018-11-25 21:07:16', '11']\n",
"['2018-11-25 21:08:27', '11']\n",
"['2018-11-25 21:09:00', '11']\n",
"['2018-11-25 21:10:04', '11']\n",
"['2018-11-25 21:10:59', '11']\n",
"['2018-11-25 21:12:00', '10']\n",
"['2018-11-25 21:12:53', '10']\n",
"['2018-11-25 21:13:45', '10']\n",
"['2018-11-25 21:14:30', '9']\n",
"['2018-11-25 21:14:55', '9']\n",
"['2018-11-25 21:16:20', '9']\n",
"['2018-11-25 21:17:16', '4']\n",
"['2018-11-25 21:18:00', '4']\n",
"['2018-11-25 21:19:00', '4']\n",
"['2018-11-25 21:19:15', '4']\n",
"['2018-11-25 21:19:47', '4']\n",
"['2018-11-25 21:20:10', '4']\n",
"['2018-11-25 21:20:46', '4']\n",
"['2018-11-25 21:21:19', '4']\n",
"['2018-11-25 21:22:00', '0']\n",
"['2018-11-26 06:11:04', '4']\n",
"['2018-11-26 06:11:39', '4']\n",
"['2018-11-26 06:14:49', '4']\n",
"['2018-11-26 06:15:03', '4']\n",
"['2018-11-26 06:15:42', '5']\n",
"['2018-11-26 06:16:36', '6']\n",
"['2018-11-26 06:17:26', '6']\n",
"['2018-11-26 06:17:44', '8']\n",
"['2018-11-26 06:17:51', '8']\n",
"['2018-11-26 06:19:00', '8']\n",
"['2018-11-26 06:19:32', '8']\n",
"['2018-11-26 06:19:54', '8']\n",
"['2018-11-26 06:20:34', '10']\n",
"['2018-11-26 06:21:20', '11']\n",
"['2018-11-26 06:22:48', '11']\n",
"['2018-11-26 06:23:22', '11']\n",
"['2018-11-26 06:23:33', '11']\n",
"['2018-11-26 06:24:49', '11']\n",
"['2018-11-26 06:25:11', '9']\n",
"['2018-11-26 06:27:47', '6']\n",
"['2018-11-26 06:29:17', '6']\n",
"['2018-11-26 06:29:54', '6']\n",
"['2018-11-26 06:30:32', '6']\n",
"['2018-11-26 06:30:46', '5']\n",
"['2018-11-26 06:32:25', '5']\n",
"['2018-11-26 06:33:58', '5']\n",
"['2018-11-26 06:34:39', '5']\n",
"['2018-11-26 06:35:04', '5']\n",
"['2018-11-26 06:35:19', '5']\n",
"['2018-11-26 06:37:17', '5']\n",
"['2018-11-26 06:37:47', '5']\n",
"['2018-11-26 06:38:03', '5']\n",
"['2018-11-26 06:38:37', '5']\n",
"['2018-11-26 06:39:00', '5']\n",
"['2018-11-26 06:39:30', '5']\n",
"['2018-11-26 06:40:06', '5']\n",
"['2018-11-26 06:40:46', '5']\n",
"['2018-11-26 06:41:15', '5']\n",
"['2018-11-26 06:41:28', '5']\n",
"['2018-11-26 06:42:50', '5']\n",
"['2018-11-26 06:43:28', '3']\n",
"['2018-11-26 06:44:16', '3']\n",
"['2018-11-26 06:44:37', '2']\n",
"['2018-11-26 06:45:31', '2']\n",
"['2018-11-26 06:46:06', '2']\n",
"['2018-11-26 06:46:23', '2']\n",
"['2018-11-26 06:46:51', '2']\n",
"['2018-11-26 06:47:15', '2']\n",
"['2018-11-26 06:47:37', '0']\n",
"['2018-11-26 06:48:54', '0']\n",
"['2018-11-26 06:49:33', '0']\n",
"['2018-11-26 06:50:03', '0']\n",
"['2018-11-26 06:50:38', '0']\n",
"['2018-11-26 06:51:07', '0']\n",
"['2018-11-26 06:51:28', '0']\n",
"['2018-11-26 06:52:00', '0']\n",
"['2018-11-26 06:52:20', '1']\n",
"['2018-11-26 06:54:51', '1']\n",
"['2018-11-26 06:55:19', '1']\n",
"['2018-11-26 06:55:46', '1']\n",
"['2018-11-26 06:56:24', '2']\n",
"['2018-11-26 06:57:07', '2']\n",
"['2018-11-26 06:57:24', '4']\n",
"['2018-11-26 06:58:26', '4']\n",
"['2018-11-26 06:58:47', '4']\n",
"['2018-11-26 06:59:51', '6']\n",
"['2018-11-26 07:04:12', '6']\n",
"['2018-11-26 07:04:36', '7']\n",
"['2018-11-26 07:04:47', '7']\n",
"['2018-11-26 07:05:20', '6']\n",
"['2018-11-26 07:07:08', '6']\n",
"['2018-11-26 07:07:50', '6']\n",
"['2018-11-26 07:09:02', '6']\n",
"['2018-11-26 07:09:14', '6']\n",
"['2018-11-26 07:10:18', '6']\n",
"['2018-11-26 07:10:29', '7']\n",
"['2018-11-26 07:12:50', '3']\n",
"['2018-11-26 07:15:42', '3']\n",
"['2018-11-26 07:15:59', '3']\n",
"['2018-11-26 07:16:13', '4']\n",
"['2018-11-26 07:17:50', '4']\n",
"['2018-11-26 07:18:06', '4']\n",
"['2018-11-26 07:18:39', '4']\n",
"['2018-11-26 07:19:34', '3']\n",
"['2018-11-26 07:20:24', '2']\n",
"['2018-11-26 07:21:25', '2']\n",
"['2018-11-26 07:21:43', '2']\n",
"['2018-11-26 07:22:42', '2']\n",
"['2018-11-26 07:23:16', '2']\n",
"['2018-11-26 07:23:49', '2']\n",
"['2018-11-26 07:24:42', '2']\n",
"['2018-11-26 07:25:18', '2']\n",
"['2018-11-26 07:25:30', '1']\n",
"['2018-11-26 07:29:59', '0']\n",
"['2018-11-26 07:31:25', '0']\n",
"['2018-11-26 07:41:02', '15']\n",
"['2018-11-26 07:41:41', '21']\n",
"['2018-11-26 07:45:20', '25']\n",
"['2018-11-26 07:46:15', '25']\n",
"['2018-11-26 07:47:12', '25']\n",
"['2018-11-26 07:47:34', '25']\n",
"['2018-11-26 07:47:56', '29']\n",
"['2018-11-26 07:48:34', '30']\n",
"['2018-11-26 07:49:07', '31']\n",
"['2018-11-26 07:50:17', '31']\n",
"['2018-11-26 07:50:38', '32']\n",
"['2018-11-26 07:51:27', '35']\n",
"['2018-11-26 07:52:39', '35']\n",
"['2018-11-26 07:52:57', '35']\n",
"['2018-11-26 07:54:28', '35']\n",
"['2018-11-26 07:54:57', '35']\n",
"['2018-11-26 07:55:39', '35']\n",
"['2018-11-26 07:56:56', '37']\n",
"['2018-11-26 07:57:46', '37']\n",
"['2018-11-26 08:00:54', '34']\n",
"['2018-11-26 08:03:25', '37']\n",
"['2018-11-26 08:04:26', '34']\n",
"['2018-11-26 08:06:24', '34']\n",
"['2018-11-26 08:06:43', '26']\n",
"['2018-11-26 08:08:37', '18']\n",
"['2018-11-26 08:10:51', '24']\n",
"['2018-11-26 08:13:04', '26']\n",
"['2018-11-26 08:13:29', '26']\n",
"['2018-11-26 08:13:43', '26']\n",
"['2018-11-26 08:16:15', '26']\n",
"['2018-11-26 08:16:46', '26']\n",
"['2018-11-26 08:16:58', '26']\n",
"['2018-11-26 08:17:35', '8']\n",
"['2018-11-26 08:18:26', '7']\n",
"['2018-11-26 08:19:15', '7']\n",
"['2018-11-26 08:19:49', '7']\n",
"['2018-11-26 08:20:32', '7']\n",
"['2018-11-26 08:21:01', '7']\n",
"['2018-11-26 08:21:14', '7']\n",
"['2018-11-26 08:22:36', '7']\n",
"['2018-11-26 08:23:29', '7']\n",
"['2018-11-26 08:23:57', '7']\n",
"['2018-11-26 08:24:18', '6']\n",
"['2018-11-26 08:25:02', '6']\n",
"['2018-11-26 08:25:35', '4']\n",
"['2018-11-26 08:26:27', '4']\n",
"['2018-11-26 08:26:56', '4']\n",
"['2018-11-26 08:27:22', '4']\n",
"['2018-11-26 08:27:45', '0']\n",
"['2018-11-26 08:31:15', '2']\n",
"['2018-11-26 08:31:51', '2']\n",
"['2018-11-26 08:32:59', '3']\n",
"['2018-11-26 08:33:48', '5']\n",
"['2018-11-26 08:34:36', '6']\n",
"['2018-11-26 08:35:21', '6']\n",
"['2018-11-26 08:35:46', '9']\n",
"['2018-11-26 08:36:49', '17']\n",
"['2018-11-26 08:38:55', '23']\n",
"['2018-11-26 08:41:33', '30']\n",
"['2018-11-26 08:42:17', '31']\n",
"['2018-11-26 08:43:01', '33']\n",
"['2018-11-26 08:44:07', '34']\n",
"['2018-11-26 08:44:45', '34']\n",
"['2018-11-26 08:45:01', '35']\n",
"['2018-11-26 08:45:46', '36']\n",
"['2018-11-26 08:46:32', '36']\n",
"['2018-11-26 08:47:58', '40']\n",
"['2018-11-26 08:48:56', '43']\n",
"['2018-11-26 08:50:02', '53']\n",
"['2018-11-26 08:51:16', '53']\n",
"['2018-11-26 08:51:30', '57']\n",
"['2018-11-26 08:55:01', '52']\n",
"['2018-11-26 08:55:40', '38']\n",
"['2018-11-26 08:57:54', '26']\n",
"['2018-11-26 08:58:57', '25']\n",
"['2018-11-26 09:02:12', '29']\n",
"['2018-11-26 09:04:19', '29']\n",
"['2018-11-26 09:05:38', '21']\n",
"['2018-11-26 09:08:24', '22']\n",
"['2018-11-26 09:09:09', '22']\n",
"['2018-11-26 09:09:56', '26']\n",
"['2018-11-26 09:13:16', '26']\n",
"['2018-11-26 09:14:04', '11']\n",
"['2018-11-26 09:15:07', '11']\n",
"['2018-11-26 09:16:08', '7']\n",
"['2018-11-26 09:17:05', '4']\n",
"['2018-11-26 09:18:11', '4']\n",
"['2018-11-26 09:18:29', '4']\n",
"['2018-11-26 09:19:23', '4']\n",
"['2018-11-26 09:20:00', '4']\n",
"['2018-11-26 09:20:30', '0']\n",
"['2018-11-26 09:21:59', '0']\n",
"['2018-11-26 09:22:33', '0']\n",
"['2018-11-26 09:23:05', '0']\n",
"['2018-11-26 09:24:53', '0']\n",
"['2018-11-26 09:25:27', '0']\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-26 09:26:01', '0']\n",
"['2018-11-26 09:26:21', '0']\n",
"['2018-11-26 09:32:22', '0']\n",
"['2018-11-26 09:33:04', '0']\n",
"['2018-11-26 09:33:34', '0']\n",
"['2018-11-26 09:34:27', '4']\n",
"['2018-11-26 09:35:21', '4']\n",
"['2018-11-26 09:35:58', '6']\n",
"['2018-11-26 09:37:15', '6']\n",
"['2018-11-26 09:37:54', '8']\n",
"['2018-11-26 09:38:40', '11']\n",
"['2018-11-26 09:39:28', '11']\n",
"['2018-11-26 09:39:35', '12']\n",
"['2018-11-26 09:40:45', '12']\n",
"['2018-11-26 09:41:06', '13']\n",
"['2018-11-26 09:41:56', '13']\n",
"['2018-11-26 09:42:38', '13']\n",
"['2018-11-26 09:43:45', '19']\n",
"['2018-11-26 09:45:13', '19']\n",
"['2018-11-26 09:45:45', '19']\n",
"['2018-11-26 09:45:51', '18']\n",
"['2018-11-26 09:47:23', '20']\n",
"['2018-11-26 09:47:58', '15']\n",
"['2018-11-26 09:55:00', '17']\n",
"['2018-11-26 09:57:52', '18']\n",
"['2018-11-26 09:59:43', '14']\n",
"['2018-11-26 10:01:35', '11']\n",
"['2018-11-26 10:03:29', '2']\n",
"['2018-11-26 10:05:49', '3']\n",
"['2018-11-26 10:07:15', '3']\n",
"['2018-11-26 10:08:42', '3']\n",
"['2018-11-26 10:09:07', '3']\n",
"['2018-11-26 10:09:42', '3']\n",
"['2018-11-26 10:14:11', '2']\n",
"['2018-11-26 10:15:36', '2']\n",
"['2018-11-26 10:16:10', '2']\n",
"['2018-11-26 10:16:44', '2']\n",
"['2018-11-26 10:16:59', '3']\n",
"['2018-11-26 10:17:40', '3']\n",
"['2018-11-26 10:18:15', '3']\n",
"['2018-11-26 10:18:54', '3']\n",
"['2018-11-26 10:19:16', '3']\n",
"['2018-11-26 10:19:26', '3']\n",
"['2018-11-26 10:20:47', '3']\n",
"['2018-11-26 10:22:20', '0']\n",
"['2018-11-26 10:23:10', '0']\n",
"['2018-11-26 10:26:40', '0']\n",
"['2018-11-26 10:30:11', '0']\n",
"['2018-11-26 10:33:42', '0']\n",
"['2018-11-26 10:37:13', '0']\n",
"['2018-11-26 10:40:44', '0']\n",
"['2018-11-26 10:41:04', '1']\n",
"['2018-11-26 10:43:24', '4']\n",
"['2018-11-26 10:45:58', '4']\n",
"['2018-11-26 10:46:51', '5']\n",
"['2018-11-26 10:47:05', '6']\n",
"['2018-11-26 10:48:14', '6']\n",
"['2018-11-26 10:48:28', '6']\n",
"['2018-11-26 10:48:48', '9']\n",
"['2018-11-26 10:49:42', '9']\n",
"['2018-11-26 10:49:51', '13']\n",
"['2018-11-26 10:51:54', '13']\n",
"['2018-11-26 10:53:07', '13']\n",
"['2018-11-26 10:54:01', '13']\n",
"['2018-11-26 10:54:46', '13']\n",
"['2018-11-26 10:54:56', '11']\n",
"['2018-11-26 10:58:37', '10']\n",
"['2018-11-26 11:00:09', '12']\n",
"['2018-11-26 11:02:25', '9']\n",
"['2018-11-26 11:03:19', '9']\n",
"['2018-11-26 11:05:21', '9']\n",
"['2018-11-26 11:06:35', '9']\n",
"['2018-11-26 11:09:19', '12']\n",
"['2018-11-26 11:12:27', '13']\n",
"['2018-11-26 11:12:50', '13']\n",
"['2018-11-26 11:13:19', '13']\n",
"['2018-11-26 11:16:41', '13']\n",
"['2018-11-26 11:16:57', '13']\n",
"['2018-11-26 11:17:30', '13']\n",
"['2018-11-26 11:18:34', '11']\n",
"['2018-11-26 11:19:36', '9']\n",
"['2018-11-26 11:20:28', '8']\n",
"['2018-11-26 11:21:13', '7']\n",
"['2018-11-26 11:22:28', '7']\n",
"['2018-11-26 11:23:37', '6']\n",
"['2018-11-26 11:24:36', '2']\n",
"['2018-11-26 11:25:45', '1']\n",
"['2018-11-26 11:26:55', '0']\n",
"['2018-11-26 11:29:07', '0']\n",
"['2018-11-26 11:29:42', '0']\n",
"['2018-11-26 11:30:19', '0']\n",
"['2018-11-26 11:30:53', '0']\n",
"['2018-11-26 11:31:11', '0']\n",
"['2018-11-26 11:37:50', '0']\n",
"['2018-11-26 11:38:28', '1']\n",
"['2018-11-26 11:39:22', '4']\n",
"['2018-11-26 11:40:32', '4']\n",
"['2018-11-26 11:42:31', '5']\n",
"['2018-11-26 11:43:28', '6']\n",
"['2018-11-26 11:44:30', '9']\n",
"['2018-11-26 11:45:34', '12']\n",
"['2018-11-26 11:46:34', '13']\n",
"['2018-11-26 11:47:15', '14']\n",
"['2018-11-26 11:48:45', '17']\n",
"['2018-11-26 11:50:14', '17']\n",
"['2018-11-26 11:50:47', '19']\n",
"['2018-11-26 11:51:41', '21']\n",
"['2018-11-26 11:52:42', '23']\n",
"['2018-11-26 11:53:43', '25']\n",
"['2018-11-26 11:55:15', '25']\n",
"['2018-11-26 11:56:08', '26']\n",
"['2018-11-26 11:56:41', '27']\n",
"['2018-11-26 11:58:25', '26']\n",
"['2018-11-26 11:59:08', '26']\n",
"['2018-11-26 12:03:17', '24']\n",
"['2018-11-26 12:04:50', '22']\n",
"['2018-11-26 12:06:41', '19']\n",
"['2018-11-26 12:07:50', '19']\n",
"['2018-11-26 12:09:49', '18']\n",
"['2018-11-26 12:13:43', '28']\n",
"['2018-11-26 12:15:25', '29']\n",
"['2018-11-26 12:18:11', '29']\n",
"['2018-11-26 12:19:04', '27']\n",
"['2018-11-26 12:19:14', '30']\n",
"['2018-11-26 12:20:31', '30']\n",
"['2018-11-26 12:22:13', '29']\n",
"['2018-11-26 12:22:49', '28']\n",
"['2018-11-26 12:23:43', '25']\n",
"['2018-11-26 12:24:30', '25']\n",
"['2018-11-26 12:25:19', '24']\n",
"['2018-11-26 12:26:17', '19']\n",
"['2018-11-26 12:27:32', '17']\n",
"['2018-11-26 12:28:31', '12']\n",
"['2018-11-26 12:28:47', '11']\n",
"['2018-11-26 12:30:39', '8']\n",
"['2018-11-26 12:33:32', '4']\n",
"['2018-11-26 12:34:31', '3']\n",
"['2018-11-26 12:35:19', '1']\n",
"['2018-11-26 12:36:07', '1']\n",
"['2018-11-26 12:36:55', '1']\n",
"['2018-11-26 12:37:43', '0']\n",
"['2018-11-26 12:38:31', '6']\n",
"['2018-11-26 12:39:05', '6']\n",
"['2018-11-26 12:41:32', '6']\n",
"['2018-11-26 12:44:13', '5']\n",
"['2018-11-26 12:44:54', '6']\n",
"['2018-11-26 12:45:46', '6']\n",
"['2018-11-26 12:47:16', '6']\n",
"['2018-11-26 12:47:26', '6']\n",
"['2018-11-26 12:48:12', '6']\n",
"['2018-11-26 12:48:36', '6']\n",
"['2018-11-26 12:48:46', '8']\n",
"['2018-11-26 12:50:51', '9']\n",
"['2018-11-26 12:51:55', '11']\n",
"['2018-11-26 12:53:12', '12']\n",
"['2018-11-26 12:54:36', '12']\n",
"['2018-11-26 12:55:27', '12']\n",
"['2018-11-26 13:00:05', '14']\n",
"['2018-11-26 13:01:19', '20']\n",
"['2018-11-26 13:04:27', '26']\n",
"['2018-11-26 13:05:34', '28']\n",
"['2018-11-26 13:06:45', '28']\n",
"['2018-11-26 13:06:58', '28']\n",
"['2018-11-26 13:10:33', '19']\n",
"['2018-11-26 13:14:27', '21']\n",
"['2018-11-26 13:15:16', '21']\n",
"['2018-11-26 13:16:07', '20']\n",
"['2018-11-26 13:18:24', '19']\n",
"['2018-11-26 13:19:01', '21']\n",
"['2018-11-26 13:19:59', '21']\n",
"['2018-11-26 13:21:00', '17']\n",
"['2018-11-26 13:21:56', '16']\n",
"['2018-11-26 13:22:50', '11']\n",
"['2018-11-26 13:23:32', '9']\n",
"['2018-11-26 13:24:39', '8']\n",
"['2018-11-26 13:25:30', '8']\n",
"['2018-11-26 13:25:51', '6']\n",
"['2018-11-26 13:26:59', '4']\n",
"['2018-11-26 13:28:00', '3']\n",
"['2018-11-26 13:29:32', '3']\n",
"['2018-11-26 13:30:00', '3']\n",
"['2018-11-26 13:30:27', '1']\n",
"['2018-11-26 13:31:19', '0']\n",
"['2018-11-26 13:31:57', '0']\n",
"['2018-11-26 13:36:20', '0']\n",
"['2018-11-26 13:37:00', '0']\n",
"['2018-11-26 13:37:24', '0']\n",
"['2018-11-26 13:38:00', '0']\n",
"['2018-11-26 13:39:44', '5']\n",
"['2018-11-26 13:40:59', '5']\n",
"['2018-11-26 13:41:51', '5']\n",
"['2018-11-26 13:42:03', '7']\n",
"['2018-11-26 13:43:04', '7']\n",
"['2018-11-26 13:43:14', '8']\n",
"['2018-11-26 13:44:17', '9']\n",
"['2018-11-26 13:45:29', '9']\n",
"['2018-11-26 13:45:59', '9']\n",
"['2018-11-26 13:46:27', '9']\n",
"['2018-11-26 13:47:11', '10']\n",
"['2018-11-26 13:48:00', '12']\n",
"['2018-11-26 13:49:35', '12']\n",
"['2018-11-26 13:50:06', '18']\n",
"['2018-11-26 13:50:58', '18']\n",
"['2018-11-26 13:52:36', '17']\n",
"['2018-11-26 13:53:17', '18']\n",
"['2018-11-26 13:57:50', '21']\n",
"['2018-11-26 13:59:18', '23']\n",
"['2018-11-26 14:01:44', '25']\n",
"['2018-11-26 14:02:45', '25']\n",
"['2018-11-26 14:04:33', '20']\n",
"['2018-11-26 14:07:25', '21']\n",
"['2018-11-26 14:15:10', '25']\n",
"['2018-11-26 14:18:31', '28']\n",
"['2018-11-26 14:18:57', '25']\n",
"['2018-11-26 14:19:06', '22']\n",
"['2018-11-26 14:20:00', '22']\n",
"['2018-11-26 14:21:03', '21']\n",
"['2018-11-26 14:21:38', '19']\n",
"['2018-11-26 14:22:37', '13']\n",
"['2018-11-26 14:23:26', '12']\n",
"['2018-11-26 14:24:14', '10']\n",
"['2018-11-26 14:25:07', '9']\n",
"['2018-11-26 14:26:03', '7']\n",
"['2018-11-26 14:26:59', '7']\n",
"['2018-11-26 14:27:13', '7']\n",
"['2018-11-26 14:28:35', '7']\n",
"['2018-11-26 14:30:19', '5']\n",
"['2018-11-26 14:31:20', '5']\n",
"['2018-11-26 14:32:33', '2']\n",
"['2018-11-26 14:33:47', '2']\n",
"['2018-11-26 14:35:01', '2']\n",
"['2018-11-26 14:36:15', '0']\n",
"['2018-11-26 14:37:29', '1']\n",
"['2018-11-26 14:37:54', '15']\n",
"['2018-11-26 14:39:55', '18']\n",
"['2018-11-26 14:42:25', '18']\n",
"['2018-11-26 14:42:37', '18']\n",
"['2018-11-26 14:43:30', '18']\n",
"['2018-11-26 14:44:09', '20']\n",
"['2018-11-26 14:44:18', '20']\n",
"['2018-11-26 14:45:07', '23']\n",
"['2018-11-26 14:46:04', '26']\n",
"['2018-11-26 14:46:13', '26']\n",
"['2018-11-26 14:48:16', '27']\n",
"['2018-11-26 14:49:17', '28']\n",
"['2018-11-26 14:50:12', '30']\n",
"['2018-11-26 14:51:26', '30']\n",
"['2018-11-26 14:51:44', '30']\n",
"['2018-11-26 14:54:31', '25']\n",
"['2018-11-26 14:55:17', '24']\n",
"['2018-11-26 14:57:35', '29']\n",
"['2018-11-26 14:58:47', '29']\n",
"['2018-11-26 14:59:47', '32']\n",
"['2018-11-26 15:00:34', '32']\n",
"['2018-11-26 15:04:11', '28']\n",
"['2018-11-26 15:07:19', '28']\n",
"['2018-11-26 15:07:32', '25']\n",
"['2018-11-26 15:08:34', '25']\n",
"['2018-11-26 15:09:36', '25']\n",
"['2018-11-26 15:09:55', '25']\n",
"['2018-11-26 15:10:53', '25']\n",
"['2018-11-26 15:11:49', '23']\n",
"['2018-11-26 15:12:42', '22']\n",
"['2018-11-26 15:13:32', '21']\n",
"['2018-11-26 15:14:14', '20']\n",
"['2018-11-26 15:14:55', '18']\n",
"['2018-11-26 15:16:16', '14']\n",
"['2018-11-26 15:17:08', '10']\n",
"['2018-11-26 15:18:16', '3']\n",
"['2018-11-26 15:19:35', '3']\n",
"['2018-11-26 15:21:08', '3']\n",
"['2018-11-26 15:21:39', '2']\n",
"['2018-11-26 15:22:37', '2']\n",
"['2018-11-26 15:23:09', '2']\n",
"['2018-11-26 15:23:28', '0']\n",
"['2018-11-26 15:31:42', '5']\n",
"['2018-11-26 15:32:19', '5']\n",
"['2018-11-26 15:32:42', '5']\n",
"['2018-11-26 15:33:19', '5']\n",
"['2018-11-26 15:34:23', '5']\n",
"['2018-11-26 15:35:03', '8']\n",
"['2018-11-26 15:35:49', '10']\n",
"['2018-11-26 15:36:02', '11']\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-26 15:36:51', '13']\n",
"['2018-11-26 15:37:29', '13']\n",
"['2018-11-26 15:38:19', '13']\n",
"['2018-11-26 15:39:30', '13']\n",
"['2018-11-26 15:39:54', '13']\n",
"['2018-11-26 15:40:15', '17']\n",
"['2018-11-26 15:41:18', '22']\n",
"['2018-11-26 15:42:23', '24']\n",
"['2018-11-26 15:43:52', '24']\n",
"['2018-11-26 15:44:18', '25']\n",
"['2018-11-26 15:44:58', '26']\n",
"['2018-11-26 15:46:37', '26']\n",
"['2018-11-26 15:46:49', '24']\n",
"['2018-11-26 15:50:33', '23']\n",
"['2018-11-26 15:51:54', '23']\n",
"['2018-11-26 15:52:51', '24']\n",
"['2018-11-26 15:53:53', '20']\n",
"['2018-11-26 15:54:33', '18']\n",
"['2018-11-26 15:56:38', '14']\n",
"['2018-11-26 15:58:27', '14']\n",
"['2018-11-26 16:01:43', '14']\n",
"['2018-11-26 16:02:30', '12']\n",
"['2018-11-26 16:02:37', '12']\n",
"['2018-11-26 16:03:43', '12']\n",
"['2018-11-26 16:05:09', '12']\n",
"['2018-11-26 16:05:23', '12']\n",
"['2018-11-26 16:05:57', '12']\n",
"['2018-11-26 16:06:19', '12']\n",
"['2018-11-26 16:06:41', '11']\n",
"['2018-11-26 16:07:41', '11']\n",
"['2018-11-26 16:08:15', '10']\n",
"['2018-11-26 16:09:10', '9']\n",
"['2018-11-26 16:09:59', '9']\n",
"['2018-11-26 16:11:39', '9']\n",
"['2018-11-26 16:13:59', '4']\n",
"['2018-11-26 16:14:49', '4']\n",
"['2018-11-26 16:15:45', '3']\n",
"['2018-11-26 16:16:42', '0']\n",
"['2018-11-26 16:17:21', '0']\n",
"['2018-11-26 16:17:38', '0']\n",
"['2018-11-26 16:35:24', '1']\n",
"['2018-11-26 16:35:58', '10']\n",
"['2018-11-26 16:38:24', '10']\n",
"['2018-11-26 16:40:37', '10']\n",
"['2018-11-26 16:41:33', '11']\n",
"['2018-11-26 16:41:59', '12']\n",
"['2018-11-26 16:42:33', '12']\n",
"['2018-11-26 16:43:11', '14']\n",
"['2018-11-26 16:44:04', '14']\n",
"['2018-11-26 16:44:33', '14']\n",
"['2018-11-26 16:44:43', '15']\n",
"['2018-11-26 16:46:28', '17']\n",
"['2018-11-26 16:52:10', '18']\n",
"['2018-11-26 16:53:14', '19']\n",
"['2018-11-26 16:54:02', '19']\n",
"['2018-11-26 16:54:55', '19']\n",
"['2018-11-26 16:58:50', '18']\n",
"['2018-11-26 17:00:24', '28']\n",
"['2018-11-26 17:02:25', '31']\n",
"['2018-11-26 17:03:15', '33']\n",
"['2018-11-26 17:06:23', '34']\n",
"['2018-11-26 17:07:09', '33']\n",
"['2018-11-26 17:09:52', '25']\n",
"['2018-11-26 17:12:38', '28']\n",
"['2018-11-26 17:13:29', '31']\n",
"['2018-11-26 17:14:19', '30']\n",
"['2018-11-26 17:17:42', '29']\n",
"['2018-11-26 17:18:34', '33']\n",
"['2018-11-26 17:19:46', '34']\n",
"['2018-11-26 17:20:57', '31']\n",
"['2018-11-26 17:22:06', '29']\n",
"['2018-11-26 17:22:59', '25']\n",
"['2018-11-26 17:23:36', '24']\n",
"['2018-11-26 17:24:56', '24']\n",
"['2018-11-26 17:25:44', '21']\n",
"['2018-11-26 17:26:53', '18']\n",
"['2018-11-26 17:27:57', '14']\n",
"['2018-11-26 17:29:07', '12']\n",
"['2018-11-26 17:29:58', '10']\n",
"['2018-11-26 17:31:34', '10']\n",
"['2018-11-26 17:32:17', '6']\n",
"['2018-11-26 17:33:11', '3']\n",
"['2018-11-26 17:33:57', '0']\n",
"['2018-11-26 17:37:13', '2']\n",
"['2018-11-26 17:37:42', '3']\n",
"['2018-11-26 17:38:29', '4']\n",
"['2018-11-26 17:39:32', '4']\n",
"['2018-11-26 17:40:00', '4']\n",
"['2018-11-26 17:40:36', '2']\n",
"['2018-11-26 17:41:32', '3']\n",
"['2018-11-26 17:42:25', '6']\n",
"['2018-11-26 17:43:22', '6']\n",
"['2018-11-26 17:43:52', '6']\n",
"['2018-11-26 17:43:58', '6']\n",
"['2018-11-26 17:45:01', '7']\n",
"['2018-11-26 17:45:21', '8']\n",
"['2018-11-26 17:46:08', '9']\n",
"['2018-11-26 17:47:16', '13']\n",
"['2018-11-26 17:48:30', '27']\n",
"['2018-11-26 17:50:06', '21']\n",
"['2018-11-26 17:50:40', '19']\n",
"['2018-11-26 17:51:22', '19']\n",
"['2018-11-26 17:52:50', '17']\n",
"['2018-11-26 17:53:38', '15']\n",
"['2018-11-26 18:00:07', '25']\n",
"['2018-11-26 18:01:55', '26']\n",
"['2018-11-26 18:03:47', '26']\n",
"['2018-11-26 18:05:17', '25']\n",
"['2018-11-26 18:05:59', '24']\n",
"['2018-11-26 18:08:22', '22']\n",
"['2018-11-26 18:10:32', '21']\n",
"['2018-11-26 18:13:20', '23']\n",
"['2018-11-26 18:14:06', '24']\n",
"['2018-11-26 18:14:24', '24']\n",
"['2018-11-26 18:17:57', '23']\n",
"['2018-11-26 18:20:00', '21']\n",
"['2018-11-26 18:21:16', '19']\n",
"['2018-11-26 18:22:04', '18']\n",
"['2018-11-26 18:23:04', '18']\n",
"['2018-11-26 18:23:26', '17']\n",
"['2018-11-26 18:24:26', '17']\n",
"['2018-11-26 18:24:57', '17']\n",
"['2018-11-26 18:25:47', '17']\n",
"['2018-11-26 18:26:40', '16']\n",
"['2018-11-26 18:28:30', '18']\n",
"['2018-11-26 18:31:32', '0']\n",
"['2018-11-26 18:32:30', '0']\n",
"['2018-11-26 18:32:58', '0']\n",
"['2018-11-26 18:33:18', '0']\n",
"['2018-11-26 18:34:15', '0']\n",
"['2018-11-26 18:34:33', '0']\n",
"['2018-11-26 18:35:33', '7']\n",
"['2018-11-26 18:36:03', '7']\n",
"['2018-11-26 18:39:23', '18']\n",
"['2018-11-26 18:42:28', '18']\n",
"['2018-11-26 18:42:53', '18']\n",
"['2018-11-26 18:43:19', '18']\n",
"['2018-11-26 18:44:03', '18']\n",
"['2018-11-26 18:44:19', '18']\n",
"['2018-11-26 18:44:43', '18']\n",
"['2018-11-26 18:45:04', '19']\n",
"['2018-11-26 18:45:44', '24']\n",
"['2018-11-26 18:48:29', '25']\n",
"['2018-11-26 18:54:01', '25']\n",
"['2018-11-26 18:54:39', '25']\n",
"['2018-11-26 18:56:13', '25']\n",
"['2018-11-26 18:56:19', '19']\n",
"['2018-11-26 18:59:54', '22']\n",
"['2018-11-26 19:01:02', '24']\n",
"['2018-11-26 19:04:11', '27']\n",
"['2018-11-26 19:05:33', '27']\n",
"['2018-11-26 19:07:21', '28']\n",
"['2018-11-26 19:08:10', '20']\n",
"['2018-11-26 19:10:44', '13']\n",
"['2018-11-26 19:13:25', '13']\n",
"['2018-11-26 19:13:47', '13']\n",
"['2018-11-26 19:15:17', '13']\n",
"['2018-11-26 19:16:27', '12']\n",
"['2018-11-26 19:17:03', '12']\n",
"['2018-11-26 19:17:58', '12']\n",
"['2018-11-26 19:18:53', '12']\n",
"['2018-11-26 19:19:59', '12']\n",
"['2018-11-26 19:20:22', '11']\n",
"['2018-11-26 19:21:08', '11']\n",
"['2018-11-26 19:21:57', '12']\n",
"['2018-11-26 19:23:15', '12']\n",
"['2018-11-26 19:23:38', '10']\n",
"['2018-11-26 19:24:41', '8']\n",
"['2018-11-26 19:25:59', '8']\n",
"['2018-11-26 19:26:21', '5']\n",
"['2018-11-26 19:28:39', '5']\n",
"['2018-11-26 19:29:07', '3']\n",
"['2018-11-26 19:30:00', '2']\n",
"['2018-11-26 19:30:52', '0']\n",
"['2018-11-26 19:36:56', '0']\n",
"['2018-11-26 19:37:48', '0']\n",
"['2018-11-26 19:38:18', '0']\n",
"['2018-11-26 19:38:57', '0']\n",
"['2018-11-26 19:40:58', '0']\n",
"['2018-11-26 19:41:40', '0']\n",
"['2018-11-26 19:42:11', '3']\n",
"['2018-11-26 19:43:20', '3']\n",
"['2018-11-26 19:43:50', '3']\n",
"['2018-11-26 19:44:09', '3']\n",
"['2018-11-26 19:44:22', '3']\n",
"['2018-11-26 19:45:08', '3']\n",
"['2018-11-26 19:45:39', '3']\n",
"['2018-11-26 19:46:03', '3']\n",
"['2018-11-26 19:46:55', '3']\n",
"['2018-11-26 19:47:51', '3']\n",
"['2018-11-26 19:48:47', '3']\n",
"['2018-11-26 19:49:20', '3']\n",
"['2018-11-26 19:49:31', '3']\n",
"['2018-11-26 19:51:43', '3']\n",
"['2018-11-26 19:52:05', '3']\n",
"['2018-11-26 19:56:14', '8']\n",
"['2018-11-26 19:59:34', '8']\n",
"['2018-11-26 20:00:44', '7']\n",
"['2018-11-26 20:02:34', '8']\n",
"['2018-11-26 20:02:53', '12']\n",
"['2018-11-26 20:06:03', '10']\n",
"['2018-11-26 20:07:55', '10']\n",
"['2018-11-26 20:09:56', '11']\n",
"['2018-11-26 20:10:29', '11']\n",
"['2018-11-26 20:10:41', '9']\n",
"['2018-11-26 20:14:30', '10']\n",
"['2018-11-26 20:17:51', '11']\n",
"['2018-11-26 20:18:58', '12']\n",
"['2018-11-26 20:19:28', '11']\n",
"['2018-11-26 20:20:18', '11']\n",
"['2018-11-26 20:20:46', '10']\n",
"['2018-11-26 20:21:12', '11']\n",
"['2018-11-26 20:22:26', '10']\n",
"['2018-11-26 20:23:12', '8']\n",
"['2018-11-26 20:23:51', '7']\n",
"['2018-11-26 20:25:48', '5']\n",
"['2018-11-26 20:28:00', '2']\n",
"['2018-11-26 20:28:47', '0']\n",
"['2018-11-26 20:30:13', '0']\n",
"['2018-11-26 20:31:39', '0']\n",
"['2018-11-26 20:33:05', '0']\n",
"['2018-11-26 20:34:31', '0']\n",
"['2018-11-26 20:35:57', '1']\n",
"['2018-11-26 20:36:29', '6']\n",
"['2018-11-26 20:39:09', '6']\n",
"['2018-11-26 20:41:39', '6']\n",
"['2018-11-26 20:42:04', '6']\n",
"['2018-11-26 20:42:30', '6']\n",
"['2018-11-26 20:43:17', '6']\n",
"['2018-11-26 20:43:34', '6']\n",
"['2018-11-26 20:44:00', '6']\n",
"['2018-11-26 20:44:32', '6']\n",
"['2018-11-26 20:44:55', '6']\n",
"['2018-11-26 20:46:02', '6']\n",
"['2018-11-26 20:47:56', '6']\n",
"['2018-11-26 20:49:00', '7']\n",
"['2018-11-26 20:49:55', '7']\n",
"['2018-11-26 20:51:47', '7']\n",
"['2018-11-26 20:54:50', '8']\n",
"['2018-11-26 20:56:03', '11']\n",
"['2018-11-26 20:59:33', '12']\n",
"['2018-11-26 21:00:39', '12']\n",
"['2018-11-26 21:02:20', '12']\n",
"['2018-11-26 21:03:34', '17']\n",
"['2018-11-26 21:05:12', '24']\n",
"['2018-11-26 21:07:43', '24']\n",
"['2018-11-26 21:07:54', '26']\n",
"['2018-11-26 21:08:39', '25']\n",
"['2018-11-26 21:10:50', '25']\n",
"['2018-11-26 21:11:07', '25']\n",
"['2018-11-26 21:11:40', '21']\n",
"['2018-11-26 21:12:47', '21']\n",
"['2018-11-26 21:13:45', '20']\n",
"['2018-11-26 21:14:39', '16']\n",
"['2018-11-26 21:15:25', '14']\n",
"['2018-11-26 21:16:38', '13']\n",
"['2018-11-26 21:18:09', '13']\n",
"['2018-11-26 21:19:23', '9']\n",
"['2018-11-26 21:20:33', '5']\n",
"['2018-11-26 21:21:38', '1']\n",
"['2018-11-26 21:22:35', '1']\n",
"['2018-11-26 21:26:48', '0']\n",
"['2018-11-26 21:28:02', '0']\n",
"['2018-11-26 21:29:23', '0']\n",
"['2018-11-26 21:30:47', '0']\n",
"['2018-11-26 21:34:08', '1']\n",
"['2018-11-26 21:34:56', '1']\n",
"['2018-11-26 21:35:54', '2']\n",
"['2018-11-26 21:36:18', '2']\n",
"['2018-11-26 21:36:46', '2']\n",
"['2018-11-26 21:37:19', '2']\n",
"['2018-11-26 21:37:32', '2']\n",
"['2018-11-26 21:38:15', '2']\n",
"['2018-11-26 21:38:45', '2']\n",
"['2018-11-26 21:39:08', '2']\n",
"['2018-11-26 21:39:58', '2']\n",
"['2018-11-26 21:40:35', '2']\n",
"['2018-11-26 21:41:29', '2']\n",
"['2018-11-26 21:41:58', '2']\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-26 21:42:07', '2']\n",
"['2018-11-26 21:43:51', '2']\n",
"['2018-11-26 21:44:32', '3']\n",
"['2018-11-26 21:47:37', '3']\n",
"['2018-11-26 21:49:10', '3']\n",
"['2018-11-26 21:50:01', '3']\n",
"['2018-11-26 21:52:21', '3']\n",
"['2018-11-26 21:53:01', '3']\n",
"['2018-11-26 21:54:28', '3']\n",
"['2018-11-26 21:55:40', '0']\n"
]
}
],
"source": [
"#divisore e perfezionatore file manuali\n",
"import csv\n",
"\n",
"import datetime\n",
"\n",
"with open ('Rilevazioni_manuali.csv', encoding = 'utf-8', newline = '') as f:\n",
" lettore = csv.reader (f, delimiter = ',')\n",
" \n",
" next(lettore)\n",
" for riga in lettore:\n",
" \n",
" Linea = int(riga[0])\n",
" \n",
" DaTi = int(riga [1])\n",
" if DaTi>1542848400 and DaTi<1542934800 :\n",
" Data = 22_11_2018\n",
" if DaTi>1542934800 and DaTi<1543021200 :\n",
" Data = 23_11_2018\n",
" if DaTi>1543021200 and DaTi<1543107600 :\n",
" Data = 24_11_2018\n",
" if DaTi>1543107600 and DaTi<1543194000 :\n",
" Data = 25_11_2018\n",
" if DaTi>1543194000 and DaTi<1543280400 :\n",
" Data = 26_11_2018\n",
" else:\n",
" data = 'boh'\n",
" \n",
" t2 = datetime.datetime.fromtimestamp(DaTi\n",
" )\n",
" #print (str(t2))\n",
" with open ('Man_linea_'+str(Linea)+str(Data)+'.csv', 'a') as nuovo:\n",
" passeggeri = []\n",
" passeggeri.append(str(t2))\n",
" passeggeri.append(riga[2])\n",
" print(passeggeri)# linea_11.append(riga[5])\n",
" writer=csv.writer(nuovo, delimiter = ',')\n",
" writer.writerow(passeggeri)\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-22 05:10:01.149774', 1]\n",
"['2018-11-22 05:11:44.552385', 2]\n",
"['2018-11-22 05:13:26.585631', 3]\n",
"['2018-11-22 05:14:21.455105', 4]\n",
"['2018-11-22 05:15:16.619168', 5]\n",
"['2018-11-22 05:16:21.755708', 4]\n",
"['2018-11-22 05:21:05.684763', 3]\n",
"['2018-11-22 05:22:01.117153', 4]\n",
"['2018-11-22 05:22:33.076706', 5]\n",
"['2018-11-22 05:22:41.833639', 6]\n",
"['2018-11-22 05:25:01.454146', 7]\n",
"['2018-11-22 05:26:01.063178', 8]\n",
"['2018-11-22 05:26:06.838000', 7]\n",
"['2018-11-22 05:26:08.517036', 8]\n",
"['2018-11-22 05:26:51.718326', 7]\n",
"['2018-11-22 05:27:24.008352', 8]\n",
"['2018-11-22 05:27:24.954317', 9]\n",
"['2018-11-22 05:28:11.975157', 10]\n",
"['2018-11-22 05:29:42.239785', 9]\n",
"['2018-11-22 05:30:23.434685', 10]\n",
"['2018-11-22 05:30:53.552263', 9]\n",
"['2018-11-22 05:31:52.257318', 8]\n",
"['2018-11-22 05:32:11.058018', 7]\n",
"['2018-11-22 05:32:18.995034', 6]\n",
"['2018-11-22 05:32:56.003503', 5]\n",
"['2018-11-22 05:34:37.571737', 4]\n",
"['2018-11-22 05:36:04.827326', 5]\n",
"['2018-11-22 05:40:39.986225', 4]\n",
"['2018-11-22 05:42:26.766570', 5]\n",
"['2018-11-22 05:42:34.790879', 6]\n",
"['2018-11-22 05:45:06.332360', 5]\n",
"['2018-11-22 05:46:46.875034', 4]\n",
"['2018-11-22 06:00:31.992794', 1]\n",
"['2018-11-22 06:01:14.461219', 2]\n",
"['2018-11-22 06:02:44.435528', 3]\n",
"['2018-11-22 06:06:10.018426', 4]\n",
"['2018-11-22 06:07:17.364779', 3]\n",
"['2018-11-22 06:08:13.329796', 4]\n",
"['2018-11-22 06:10:25.843660', 3]\n",
"['2018-11-22 06:12:26.884998', 2]\n",
"['2018-11-22 06:12:36.277192', 3]\n",
"['2018-11-22 06:16:44.379119', 1]\n",
"['2018-11-22 06:19:47.541398', 2]\n",
"['2018-11-22 06:20:02.593902', 3]\n",
"['2018-11-22 06:24:36.044871', 1]\n",
"['2018-11-22 06:29:44.585122', 2]\n",
"['2018-11-22 06:29:46.849977', 3]\n",
"['2018-11-22 06:31:03.058248', 4]\n",
"['2018-11-22 06:31:29.910093', 5]\n",
"['2018-11-22 06:31:35.915965', 6]\n",
"['2018-11-22 06:34:17.121425', 5]\n",
"['2018-11-22 06:34:20.219218', 6]\n",
"['2018-11-22 06:34:20.647713', 7]\n",
"['2018-11-22 06:35:01.185358', 8]\n",
"['2018-11-22 06:35:47.183387', 7]\n",
"['2018-11-22 06:37:00.985235', 6]\n",
"['2018-11-22 06:37:24.983287', 5]\n",
"['2018-11-22 06:37:29.498839', 6]\n",
"['2018-11-22 06:37:41.405000', 7]\n",
"['2018-11-22 06:38:18.575331', 8]\n",
"['2018-11-22 06:38:36.119408', 7]\n",
"['2018-11-22 06:40:20.298634', 6]\n",
"['2018-11-22 06:41:11.002663', 7]\n",
"['2018-11-22 06:42:07.733583', 8]\n",
"['2018-11-22 06:42:41.881419', 7]\n",
"['2018-11-22 06:43:26.006600', 8]\n",
"['2018-11-22 06:43:43.496039', 9]\n",
"['2018-11-22 06:45:11.098440', 10]\n",
"['2018-11-22 06:45:12.998045', 11]\n",
"['2018-11-22 06:45:40.295530', 10]\n",
"['2018-11-22 06:46:15.544969', 9]\n",
"['2018-11-22 06:48:33.525283', 6]\n",
"['2018-11-22 06:48:39.962345', 7]\n",
"['2018-11-22 06:48:46.278015', 8]\n",
"['2018-11-22 06:52:50.698458', 9]\n",
"['2018-11-22 06:55:01.245276', 10]\n",
"['2018-11-22 06:55:50.220454', 11]\n",
"['2018-11-22 06:56:10.014109', 12]\n",
"['2018-11-22 06:56:39.104395', 11]\n",
"['2018-11-22 06:59:02.253999', 12]\n",
"['2018-11-22 06:59:31.937611', 11]\n",
"['2018-11-22 07:00:17.091121', 9]\n",
"['2018-11-22 07:01:05.798093', 8]\n",
"['2018-11-22 07:01:31.500653', 9]\n",
"['2018-11-22 07:02:11.515823', 10]\n",
"['2018-11-22 07:02:42.715070', 11]\n",
"['2018-11-22 07:02:50.416261', 12]\n",
"['2018-11-22 07:03:23.959577', 13]\n",
"['2018-11-22 07:03:57.247620', 11]\n",
"['2018-11-22 07:05:41.977492', 12]\n",
"['2018-11-22 07:05:46.013884', 11]\n",
"['2018-11-22 07:06:43.320140', 9]\n",
"['2018-11-22 07:07:07.869868', 8]\n",
"['2018-11-22 07:07:52.481894', 9]\n",
"['2018-11-22 07:08:38.512696', 10]\n",
"['2018-11-22 07:08:44.046819', 11]\n",
"['2018-11-22 07:09:27.360802', 12]\n",
"['2018-11-22 07:09:34.512325', 11]\n",
"['2018-11-22 07:09:46.159622', 10]\n",
"['2018-11-22 07:09:58.746117', 9]\n",
"['2018-11-22 07:10:46.047447', 10]\n",
"['2018-11-22 07:11:40.827128', 11]\n",
"['2018-11-22 07:12:56.395274', 12]\n",
"['2018-11-22 07:13:02.241457', 13]\n",
"['2018-11-22 07:13:41.997053', 12]\n",
"['2018-11-22 07:14:02.025181', 11]\n",
"['2018-11-22 07:14:29.176852', 10]\n",
"['2018-11-22 07:15:43.774439', 9]\n",
"['2018-11-22 07:16:35.986634', 8]\n",
"['2018-11-22 07:19:56.428313', 9]\n",
"['2018-11-22 07:20:08.142666', 8]\n",
"['2018-11-22 07:21:03.809763', 7]\n",
"['2018-11-22 07:22:03.825746', 6]\n",
"['2018-11-22 07:22:27.556994', 7]\n",
"['2018-11-22 07:22:32.519593', 8]\n",
"['2018-11-22 07:22:40.687815', 9]\n",
"['2018-11-22 07:24:40.156487', 8]\n",
"['2018-11-22 07:25:38.870251', 7]\n",
"['2018-11-22 07:26:43.897580', 4]\n",
"['2018-11-22 07:27:45.847821', 5]\n",
"['2018-11-22 07:28:25.549597', 6]\n",
"['2018-11-22 07:29:56.600509', 5]\n",
"['2018-11-22 07:34:46.611293', 4]\n",
"['2018-11-22 07:35:11.623113', 5]\n",
"['2018-11-22 07:35:13.729722', 6]\n",
"['2018-11-22 07:36:09.323088', 5]\n",
"['2018-11-22 07:36:20.763481', 4]\n",
"['2018-11-22 07:36:50.009867', 3]\n",
"['2018-11-22 07:40:12.219658', 2]\n",
"['2018-11-22 07:40:15.529494', 3]\n",
"['2018-11-22 07:43:39.024825', 4]\n",
"['2018-11-22 07:46:47.178478', 3]\n",
"['2018-11-22 07:46:56.884717', 4]\n",
"['2018-11-22 07:47:11.238162', 5]\n",
"['2018-11-22 07:47:37.863651', 6]\n",
"['2018-11-22 07:48:33.574190', 7]\n",
"['2018-11-22 07:49:05.535069', 8]\n",
"['2018-11-22 07:51:00.136353', 9]\n",
"['2018-11-22 07:51:02.642170', 10]\n",
"['2018-11-22 07:51:54.695082', 11]\n",
"['2018-11-22 07:53:17.233885', 10]\n",
"['2018-11-22 07:53:43.779238', 11]\n",
"['2018-11-22 07:53:55.784801', 12]\n",
"['2018-11-22 07:55:12.557047', 13]\n",
"['2018-11-22 07:55:20.104493', 12]\n",
"['2018-11-22 07:55:25.470563', 13]\n",
"['2018-11-22 07:55:56.371469', 12]\n",
"['2018-11-22 07:56:23.577774', 13]\n",
"['2018-11-22 07:57:11.433808', 14]\n",
"['2018-11-22 07:57:56.474839', 13]\n",
"['2018-11-22 07:58:42.495444', 12]\n",
"['2018-11-22 07:58:57.501227', 11]\n",
"['2018-11-22 07:59:04.933114', 12]\n",
"['2018-11-22 07:59:25.956159', 11]\n",
"['2018-11-22 07:59:40.946344', 10]\n",
"['2018-11-22 08:01:14.233937', 11]\n",
"['2018-11-22 08:01:26.448330', 12]\n",
"['2018-11-22 08:02:04.923254', 13]\n",
"['2018-11-22 08:02:22.067918', 14]\n",
"['2018-11-22 08:02:40.633252', 15]\n",
"['2018-11-22 08:03:40.973875', 14]\n",
"['2018-11-22 08:03:42.806730', 15]\n",
"['2018-11-22 08:04:18.908720', 16]\n",
"['2018-11-22 08:05:03.254138', 15]\n",
"['2018-11-22 08:05:19.662309', 16]\n",
"['2018-11-22 08:05:45.118527', 17]\n",
"['2018-11-22 08:06:11.656689', 14]\n",
"['2018-11-22 08:06:43.910160', 11]\n",
"['2018-11-22 08:06:58.658388', 10]\n",
"['2018-11-22 08:07:11.195225', 11]\n",
"['2018-11-22 08:08:46.058415', 10]\n",
"['2018-11-22 08:09:26.692393', 9]\n",
"['2018-11-22 08:09:38.369698', 8]\n",
"['2018-11-22 08:09:46.921821', 6]\n",
"['2018-11-22 08:11:17.648116', 5]\n",
"['2018-11-22 08:11:33.598006', 6]\n",
"['2018-11-22 08:12:15.970064', 5]\n",
"['2018-11-22 08:13:07.997015', 6]\n",
"['2018-11-22 08:13:15.356807', 7]\n",
"['2018-11-22 08:14:23.934554', 6]\n",
"['2018-11-22 08:15:20.366119', 5]\n",
"['2018-11-22 08:15:34.172281', 4]\n",
"['2018-11-22 08:16:17.247227', 5]\n",
"['2018-11-22 08:18:37.252270', 6]\n",
"['2018-11-22 08:22:53.708680', 5]\n",
"['2018-11-22 08:23:04.005860', 4]\n",
"['2018-11-22 08:23:52.533238', 3]\n",
"['2018-11-22 08:25:08.696874', 4]\n",
"['2018-11-22 08:28:14.153527', 5]\n",
"['2018-11-22 08:30:02.510369', 3]\n",
"['2018-11-22 08:30:04.686794', 4]\n",
"['2018-11-22 08:30:06.686522', 3]\n",
"['2018-11-22 08:34:52.532767', 1]\n",
"['2018-11-22 08:35:01.300413', 2]\n",
"['2018-11-22 08:35:09.711807', 3]\n",
"['2018-11-22 08:39:10.839680', 4]\n",
"['2018-11-22 08:39:57.629272', 3]\n",
"['2018-11-22 08:40:05.935061', 2]\n",
"['2018-11-22 08:40:07.298773', 1]\n",
"['2018-11-22 08:44:22.231721', 2]\n",
"['2018-11-22 08:44:24.289735', 3]\n",
"['2018-11-22 08:46:22.287979', 4]\n",
"['2018-11-22 08:50:10.039621', 3]\n",
"['2018-11-22 08:51:47.146620', 4]\n",
"['2018-11-22 08:52:38.448735', 3]\n",
"['2018-11-22 08:53:49.763483', 4]\n",
"['2018-11-22 08:55:03.730670', 5]\n",
"['2018-11-22 08:55:17.095817', 6]\n",
"['2018-11-22 08:55:42.870729', 7]\n",
"['2018-11-22 08:56:35.066757', 6]\n",
"['2018-11-22 08:57:19.189101', 7]\n",
"['2018-11-22 09:00:08.632490', 6]\n",
"['2018-11-22 09:00:13.286970', 7]\n",
"['2018-11-22 09:00:44.600227', 8]\n",
"['2018-11-22 09:01:23.592890', 6]\n",
"['2018-11-22 09:01:37.600377', 5]\n",
"['2018-11-22 09:02:06.580712', 6]\n",
"['2018-11-22 09:03:59.561740', 7]\n",
"['2018-11-22 09:04:23.561055', 8]\n",
"['2018-11-22 09:05:07.434409', 9]\n",
"['2018-11-22 09:05:31.375960', 10]\n",
"['2018-11-22 09:05:45.328259', 9]\n",
"['2018-11-22 09:06:07.441895', 7]\n",
"['2018-11-22 09:08:04.742468', 6]\n",
"['2018-11-22 09:08:09.964108', 7]\n",
"['2018-11-22 09:08:11.197315', 8]\n",
"['2018-11-22 09:08:33.579216', 9]\n",
"['2018-11-22 09:08:54.945085', 8]\n",
"['2018-11-22 09:10:22.895250', 9]\n",
"['2018-11-22 09:10:28.790340', 10]\n",
"['2018-11-22 09:10:31.757536', 9]\n",
"['2018-11-22 09:12:10.760158', 10]\n",
"['2018-11-22 09:13:10.687793', 9]\n",
"['2018-11-22 09:13:41.681715', 8]\n",
"['2018-11-22 09:15:31.465191', 9]\n",
"['2018-11-22 09:16:00.072819', 8]\n",
"['2018-11-22 09:16:22.987630', 9]\n",
"['2018-11-22 09:16:54.096916', 8]\n",
"['2018-11-22 09:17:45.894760', 7]\n",
"['2018-11-22 09:18:17.933812', 6]\n",
"['2018-11-22 09:19:13.002601', 5]\n",
"['2018-11-22 09:20:19.455032', 4]\n",
"['2018-11-22 09:22:20.822047', 3]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-22 09:27:21.676399', 4]\n",
"['2018-11-22 09:42:07.341817', 1]\n",
"['2018-11-22 09:47:23.053508', 2]\n",
"['2018-11-22 09:49:40.105453', 3]\n",
"['2018-11-22 09:51:18.474855', 4]\n",
"['2018-11-22 09:55:44.389614', 1]\n",
"['2018-11-22 09:56:46.448728', 2]\n",
"['2018-11-22 09:56:49.941784', 3]\n",
"['2018-11-22 09:56:58.846986', 4]\n",
"['2018-11-22 09:58:00.239164', 5]\n",
"['2018-11-22 09:59:19.135295', 6]\n",
"['2018-11-22 10:01:36.096688', 4]\n",
"['2018-11-22 10:01:41.180709', 5]\n",
"['2018-11-22 10:02:55.202341', 4]\n",
"['2018-11-22 10:04:06.717500', 5]\n",
"['2018-11-22 10:04:41.850574', 6]\n",
"['2018-11-22 10:05:35.671132', 7]\n",
"['2018-11-22 10:06:38.782622', 5]\n",
"['2018-11-22 10:07:00.051297', 6]\n",
"['2018-11-22 10:09:08.893575', 4]\n",
"['2018-11-22 10:09:25.781727', 5]\n",
"['2018-11-22 10:09:50.897327', 6]\n",
"['2018-11-22 10:10:31.163369', 7]\n",
"['2018-11-22 10:10:32.060779', 8]\n",
"['2018-11-22 10:12:49.064475', 7]\n",
"['2018-11-22 10:14:49.194444', 6]\n",
"['2018-11-22 10:15:04.366695', 5]\n",
"['2018-11-22 10:15:45.084242', 4]\n",
"['2018-11-22 10:16:09.083474', 3]\n",
"['2018-11-22 10:16:15.989536', 4]\n",
"['2018-11-22 10:16:51.938015', 5]\n",
"['2018-11-22 10:19:22.764188', 4]\n",
"['2018-11-22 10:21:02.124386', 3]\n",
"['2018-11-22 10:23:34.071437', 2]\n",
"['2018-11-22 10:29:34.520379', 3]\n",
"['2018-11-22 10:30:24.090653', 4]\n",
"['2018-11-22 10:30:24.879693', 5]\n",
"['2018-11-22 10:32:43.805264', 6]\n",
"['2018-11-22 10:34:29.966760', 3]\n",
"['2018-11-22 10:37:48.608019', 2]\n",
"['2018-11-22 10:38:02.160591', 1]\n",
"['2018-11-22 10:38:06.147720', 2]\n",
"['2018-11-22 10:38:50.233397', 3]\n",
"['2018-11-22 10:38:55.120716', 4]\n",
"['2018-11-22 10:39:02.448362', 5]\n",
"['2018-11-22 10:43:48.662731', 2]\n",
"['2018-11-22 10:44:08.960310', 3]\n",
"['2018-11-22 10:47:42.781130', 4]\n",
"['2018-11-22 10:54:19.252593', 3]\n",
"['2018-11-22 10:54:40.363298', 4]\n",
"['2018-11-22 10:57:45.617015', 5]\n",
"['2018-11-22 11:01:27.181592', 6]\n",
"['2018-11-22 11:02:23.277004', 4]\n",
"['2018-11-22 11:03:06.856215', 5]\n",
"['2018-11-22 11:04:50.710731', 6]\n",
"['2018-11-22 11:04:53.579321', 7]\n",
"['2018-11-22 11:04:56.801610', 6]\n",
"['2018-11-22 11:05:40.964096', 7]\n",
"['2018-11-22 11:05:58.905965', 8]\n",
"['2018-11-22 11:06:05.971352', 9]\n",
"['2018-11-22 11:06:37.451351', 8]\n",
"['2018-11-22 11:07:08.517138', 7]\n",
"['2018-11-22 11:07:59.640473', 8]\n",
"['2018-11-22 11:08:30.715716', 9]\n",
"['2018-11-22 11:08:41.894004', 10]\n",
"['2018-11-22 11:08:48.263730', 11]\n",
"['2018-11-22 11:09:04.573968', 12]\n",
"['2018-11-22 11:09:24.550383', 11]\n",
"['2018-11-22 11:09:48.470166', 10]\n",
"['2018-11-22 11:09:56.432088', 11]\n",
"['2018-11-22 11:10:03.362631', 10]\n",
"['2018-11-22 11:11:02.044217', 11]\n",
"['2018-11-22 11:12:25.005241', 10]\n",
"['2018-11-22 11:12:35.775049', 11]\n",
"['2018-11-22 11:12:54.587888', 9]\n",
"['2018-11-22 11:13:01.536450', 10]\n",
"['2018-11-22 11:14:11.757738', 9]\n",
"['2018-11-22 11:15:04.989977', 8]\n",
"['2018-11-22 11:16:04.953901', 9]\n",
"['2018-11-22 11:16:54.103765', 10]\n",
"['2018-11-22 11:17:16.404007', 9]\n",
"['2018-11-22 11:17:53.956117', 8]\n",
"['2018-11-22 11:19:41.657177', 7]\n",
"['2018-11-22 11:20:29.614631', 6]\n",
"['2018-11-22 11:20:53.993003', 7]\n",
"['2018-11-22 11:21:30.614046', 6]\n",
"['2018-11-22 11:22:01.635267', 5]\n",
"['2018-11-22 11:24:04.656597', 4]\n",
"['2018-11-22 11:24:17.214986', 3]\n",
"['2018-11-22 11:24:58.677385', 2]\n",
"['2018-11-22 11:29:47.636319', 1]\n",
"['2018-11-22 11:45:36.548706', 2]\n",
"['2018-11-22 11:47:14.225998', 3]\n",
"['2018-11-22 11:49:06.331554', 4]\n",
"['2018-11-22 11:49:18.484064', 5]\n",
"['2018-11-22 11:49:39.292678', 6]\n",
"['2018-11-22 11:49:49.284711', 7]\n",
"['2018-11-22 11:52:10.622952', 6]\n",
"['2018-11-22 11:53:59.941412', 3]\n",
"['2018-11-22 11:54:13.709475', 4]\n",
"['2018-11-22 11:55:32.604471', 3]\n",
"['2018-11-22 11:57:22.020750', 4]\n",
"['2018-11-22 11:57:26.741427', 5]\n",
"['2018-11-22 12:00:21.958711', 6]\n",
"['2018-11-22 12:00:29.402072', 7]\n",
"['2018-11-22 12:00:54.199062', 8]\n",
"['2018-11-22 12:01:30.721918', 7]\n",
"['2018-11-22 12:01:37.750576', 8]\n",
"['2018-11-22 12:01:54.504382', 9]\n",
"['2018-11-22 12:02:23.705199', 10]\n",
"['2018-11-22 12:02:29.618755', 11]\n",
"['2018-11-22 12:04:19.340852', 12]\n",
"['2018-11-22 12:04:48.814452', 11]\n",
"['2018-11-22 12:04:57.454467', 10]\n",
"['2018-11-22 12:05:09.120611', 9]\n",
"['2018-11-22 12:05:17.876684', 10]\n",
"['2018-11-22 12:06:08.221882', 9]\n",
"['2018-11-22 12:06:34.391970', 5]\n",
"['2018-11-22 12:07:47.628381', 6]\n",
"['2018-11-22 12:08:03.035325', 7]\n",
"['2018-11-22 12:09:04.065899', 6]\n",
"['2018-11-22 12:09:09.783690', 5]\n",
"['2018-11-22 12:09:12.089747', 6]\n",
"['2018-11-22 12:09:13.762455', 7]\n",
"['2018-11-22 12:09:17.906602', 6]\n",
"['2018-11-22 12:09:25.093844', 7]\n",
"['2018-11-22 12:11:16.024801', 8]\n",
"['2018-11-22 12:11:42.036494', 9]\n",
"['2018-11-22 12:12:00.507708', 8]\n",
"['2018-11-22 12:13:04.875822', 7]\n",
"['2018-11-22 12:14:08.946345', 6]\n",
"['2018-11-22 12:15:48.502250', 5]\n",
"['2018-11-22 12:15:55.830376', 6]\n",
"['2018-11-22 12:17:42.580436', 4]\n",
"['2018-11-22 12:21:17.322875', 3]\n",
"['2018-11-22 12:23:21.817294', 2]\n",
"['2018-11-22 12:23:30.178417', 3]\n",
"['2018-11-22 12:28:21.441296', 2]\n",
"['2018-11-22 12:28:53.167391', 3]\n",
"['2018-11-22 12:31:34.982547', 2]\n",
"['2018-11-22 12:32:03.427247', 3]\n",
"['2018-11-22 12:32:04.684273', 4]\n",
"['2018-11-22 12:32:05.526583', 5]\n",
"['2018-11-22 12:34:49.242881', 4]\n",
"['2018-11-22 12:37:52.660144', 2]\n",
"['2018-11-22 12:37:55.453496', 3]\n",
"['2018-11-22 12:37:56.553849', 4]\n",
"['2018-11-22 12:38:32.885875', 5]\n",
"['2018-11-22 12:42:59.408822', 1]\n",
"['2018-11-22 12:49:33.662847', 2]\n",
"['2018-11-22 12:50:18.631586', 3]\n",
"['2018-11-22 12:52:20.450725', 4]\n",
"['2018-11-22 12:52:36.961611', 5]\n",
"['2018-11-22 12:53:09.434370', 6]\n",
"['2018-11-22 12:53:13.246185', 7]\n",
"['2018-11-22 12:53:28.932382', 8]\n",
"['2018-11-22 12:54:24.810111', 9]\n",
"['2018-11-22 12:54:54.922067', 8]\n",
"['2018-11-22 12:55:11.728747', 9]\n",
"['2018-11-22 12:55:43.075112', 10]\n",
"['2018-11-22 12:55:48.330839', 11]\n",
"['2018-11-22 12:56:28.124436', 12]\n",
"['2018-11-22 12:56:45.454007', 13]\n",
"['2018-11-22 12:57:30.778168', 12]\n",
"['2018-11-22 12:57:33.715659', 13]\n",
"['2018-11-22 12:58:19.631760', 11]\n",
"['2018-11-22 12:59:38.353901', 10]\n",
"['2018-11-22 13:00:06.165303', 11]\n",
"['2018-11-22 13:00:16.532782', 12]\n",
"['2018-11-22 13:00:40.415334', 9]\n",
"['2018-11-22 13:01:22.282460', 7]\n",
"['2018-11-22 13:01:39.375872', 5]\n",
"['2018-11-22 13:02:30.125385', 6]\n",
"['2018-11-22 13:02:30.639555', 7]\n",
"['2018-11-22 13:02:57.642411', 6]\n",
"['2018-11-22 13:03:55.617290', 7]\n",
"['2018-11-22 13:04:21.323415', 6]\n",
"['2018-11-22 13:04:26.983643', 7]\n",
"['2018-11-22 13:04:48.417031', 8]\n",
"['2018-11-22 13:05:41.691413', 9]\n",
"['2018-11-22 13:06:35.411924', 8]\n",
"['2018-11-22 13:07:36.810025', 7]\n",
"['2018-11-22 13:08:39.553024', 5]\n",
"['2018-11-22 13:11:14.993247', 2]\n",
"['2018-11-22 13:12:54.657817', 1]\n",
"['2018-11-22 13:14:33.838002', 2]\n",
"['2018-11-22 13:14:45.873352', 3]\n",
"['2018-11-22 13:17:14.160006', 4]\n",
"['2018-11-22 13:17:40.740439', 5]\n",
"['2018-11-22 13:28:41.518466', 1]\n",
"['2018-11-22 13:39:30.425895', 2]\n",
"['2018-11-22 13:40:47.150283', 3]\n",
"['2018-11-22 13:43:01.693944', 4]\n",
"['2018-11-22 13:43:02.807838', 5]\n",
"['2018-11-22 13:45:06.797245', 6]\n",
"['2018-11-22 13:47:06.569356', 5]\n",
"['2018-11-22 13:47:24.148449', 6]\n",
"['2018-11-22 13:48:38.781336', 5]\n",
"['2018-11-22 13:49:09.803606', 4]\n",
"['2018-11-22 13:51:40.607138', 5]\n",
"['2018-11-22 13:51:49.867282', 4]\n",
"['2018-11-22 13:54:14.675855', 5]\n",
"['2018-11-22 13:56:24.482585', 6]\n",
"['2018-11-22 13:56:25.270884', 7]\n",
"['2018-11-22 13:56:33.125180', 8]\n",
"['2018-11-22 13:56:48.855751', 9]\n",
"['2018-11-22 13:56:55.714242', 10]\n",
"['2018-11-22 13:58:35.472557', 9]\n",
"['2018-11-22 13:59:50.125607', 10]\n",
"['2018-11-22 14:00:15.654618', 11]\n",
"['2018-11-22 14:00:37.312658', 10]\n",
"['2018-11-22 14:00:51.742606', 11]\n",
"['2018-11-22 14:00:57.225779', 9]\n",
"['2018-11-22 14:01:08.685841', 8]\n",
"['2018-11-22 14:02:03.641519', 7]\n",
"['2018-11-22 14:03:16.634287', 8]\n",
"['2018-11-22 14:03:56.197383', 7]\n",
"['2018-11-22 14:04:28.342580', 6]\n",
"['2018-11-22 14:05:36.742733', 7]\n",
"['2018-11-22 14:06:23.382243', 8]\n",
"['2018-11-22 14:06:48.706768', 9]\n",
"['2018-11-22 14:07:35.690414', 8]\n",
"['2018-11-22 14:08:35.690787', 7]\n",
"['2018-11-22 14:08:54.001910', 6]\n",
"['2018-11-22 14:10:08.736174', 7]\n",
"['2018-11-22 14:10:31.035410', 6]\n",
"['2018-11-22 14:10:32.574331', 7]\n",
"['2018-11-22 14:11:00.862600', 5]\n",
"['2018-11-22 14:13:14.147642', 6]\n",
"['2018-11-22 14:13:22.521414', 7]\n",
"['2018-11-22 14:14:55.639181', 8]\n",
"['2018-11-22 14:17:16.951996', 9]\n",
"['2018-11-22 14:18:01.592549', 8]\n",
"['2018-11-22 14:19:14.949164', 9]\n",
"['2018-11-22 14:19:32.060764', 8]\n",
"['2018-11-22 14:20:47.720020', 5]\n",
"['2018-11-22 14:20:51.110942', 6]\n",
"['2018-11-22 14:23:52.133283', 5]\n",
"['2018-11-22 14:25:36.201885', 3]\n",
"['2018-11-22 14:27:20.341397', 2]\n",
"['2018-11-22 14:40:30.179963', 1]\n",
"['2018-11-22 14:40:31.851510', 2]\n",
"['2018-11-22 14:40:32.897222', 3]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-22 14:42:40.786179', 4]\n",
"['2018-11-22 14:43:48.421694', 5]\n",
"['2018-11-22 14:43:54.701535', 6]\n",
"['2018-11-22 14:44:36.873368', 5]\n",
"['2018-11-22 14:44:42.765645', 3]\n",
"['2018-11-22 14:45:31.319397', 4]\n",
"['2018-11-22 14:49:28.390802', 3]\n",
"['2018-11-22 14:49:54.720142', 4]\n",
"['2018-11-22 14:50:48.407054', 3]\n",
"['2018-11-22 14:51:20.599469', 4]\n",
"['2018-11-22 14:51:26.235453', 5]\n",
"['2018-11-22 14:51:34.058680', 6]\n",
"['2018-11-22 14:52:44.489990', 7]\n",
"['2018-11-22 14:53:16.620652', 8]\n",
"['2018-11-22 14:54:00.890871', 7]\n",
"['2018-11-22 14:54:15.521265', 8]\n",
"['2018-11-22 14:54:29.892133', 9]\n",
"['2018-11-22 14:54:30.207510', 10]\n",
"['2018-11-22 14:54:32.701396', 11]\n",
"['2018-11-22 14:55:24.841128', 12]\n",
"['2018-11-22 14:56:21.449150', 13]\n",
"['2018-11-22 14:57:27.538684', 12]\n",
"['2018-11-22 14:58:02.026581', 11]\n",
"['2018-11-22 14:58:21.117452', 12]\n",
"['2018-11-22 14:58:37.904317', 10]\n",
"['2018-11-22 14:59:22.683335', 11]\n",
"['2018-11-22 14:59:36.757972', 10]\n",
"['2018-11-22 14:59:40.651045', 11]\n",
"['2018-11-22 15:00:21.231918', 10]\n",
"['2018-11-22 15:01:21.666091', 9]\n",
"['2018-11-22 15:01:27.691585', 8]\n",
"['2018-11-22 15:01:30.731399', 9]\n",
"['2018-11-22 15:03:20.173373', 8]\n",
"['2018-11-22 15:03:28.387284', 9]\n",
"['2018-11-22 15:03:29.054858', 10]\n",
"['2018-11-22 15:03:51.358937', 11]\n",
"['2018-11-22 15:03:55.329986', 12]\n",
"['2018-11-22 15:04:37.833155', 13]\n",
"['2018-11-22 15:05:15.030869', 14]\n",
"['2018-11-22 15:05:19.217748', 15]\n",
"['2018-11-22 15:05:22.768497', 14]\n",
"['2018-11-22 15:05:40.386313', 15]\n",
"['2018-11-22 15:06:59.578585', 14]\n",
"['2018-11-22 15:06:59.786971', 15]\n",
"['2018-11-22 15:07:29.359931', 16]\n",
"['2018-11-22 15:07:30.206732', 15]\n",
"['2018-11-22 15:07:55.264093', 13]\n",
"['2018-11-22 15:07:59.379783', 14]\n",
"['2018-11-22 15:08:19.468301', 13]\n",
"['2018-11-22 15:09:07.530946', 11]\n",
"['2018-11-22 15:09:11.284579', 12]\n",
"['2018-11-22 15:09:15.265250', 11]\n",
"['2018-11-22 15:09:21.179728', 10]\n",
"['2018-11-22 15:11:02.192741', 9]\n",
"['2018-11-22 15:11:26.478318', 10]\n",
"['2018-11-22 15:11:59.974506', 8]\n",
"['2018-11-22 15:12:30.615300', 7]\n",
"['2018-11-22 15:15:31.463678', 6]\n",
"['2018-11-22 15:16:06.444211', 7]\n",
"['2018-11-22 15:16:49.267053', 6]\n",
"['2018-11-22 15:18:11.300050', 5]\n",
"['2018-11-22 15:19:03.732974', 6]\n",
"['2018-11-22 15:19:34.278400', 5]\n",
"['2018-11-22 15:21:14.291026', 4]\n",
"['2018-11-22 15:36:44.530272', 1]\n",
"['2018-11-22 15:36:49.002086', 2]\n",
"['2018-11-22 15:43:47.635129', 3]\n",
"['2018-11-22 15:45:34.212798', 4]\n",
"['2018-11-22 15:48:04.058107', 3]\n",
"['2018-11-22 15:49:06.962968', 4]\n",
"['2018-11-22 15:50:08.560650', 3]\n",
"['2018-11-22 15:50:15.068227', 4]\n",
"['2018-11-22 15:50:34.231014', 5]\n",
"['2018-11-22 15:51:33.504994', 6]\n",
"['2018-11-22 15:53:09.593128', 5]\n",
"['2018-11-22 15:53:50.623718', 6]\n",
"['2018-11-22 15:53:50.753090', 7]\n",
"['2018-11-22 15:53:54.137353', 8]\n",
"['2018-11-22 15:55:07.887858', 9]\n",
"['2018-11-22 15:56:02.506900', 10]\n",
"['2018-11-22 15:56:25.760780', 11]\n",
"['2018-11-22 15:57:00.536404', 12]\n",
"['2018-11-22 15:57:07.289687', 11]\n",
"['2018-11-22 15:58:09.589883', 10]\n",
"['2018-11-22 15:58:33.744166', 8]\n",
"['2018-11-22 15:59:36.650107', 7]\n",
"['2018-11-22 16:01:01.228618', 6]\n",
"['2018-11-22 16:01:33.334595', 4]\n",
"['2018-11-22 16:02:58.057050', 5]\n",
"['2018-11-22 16:03:00.616058', 6]\n",
"['2018-11-22 16:03:07.221733', 7]\n",
"['2018-11-22 16:03:26.551241', 6]\n",
"['2018-11-22 16:03:30.877979', 7]\n",
"['2018-11-22 16:03:38.144725', 8]\n",
"['2018-11-22 16:03:40.955119', 9]\n",
"['2018-11-22 16:03:59.815034', 10]\n",
"['2018-11-22 16:04:25.671601', 9]\n",
"['2018-11-22 16:05:01.267243', 8]\n",
"['2018-11-22 16:06:18.370186', 9]\n",
"['2018-11-22 16:06:58.362547', 8]\n",
"['2018-11-22 16:07:32.886745', 7]\n",
"['2018-11-22 16:08:06.645031', 5]\n",
"['2018-11-22 16:08:38.101056', 4]\n",
"['2018-11-22 16:12:44.130563', 5]\n",
"['2018-11-22 16:13:11.617854', 6]\n",
"['2018-11-22 16:17:00.805116', 5]\n",
"['2018-11-22 16:18:26.794795', 3]\n",
"['2018-11-22 16:19:21.184983', 4]\n",
"['2018-11-22 16:20:17.468125', 5]\n",
"['2018-11-22 16:20:24.350528', 6]\n",
"['2018-11-22 16:20:32.563718', 7]\n",
"['2018-11-22 16:20:37.529576', 8]\n",
"['2018-11-22 16:22:09.547059', 9]\n",
"['2018-11-22 16:22:11.112770', 10]\n",
"['2018-11-22 16:25:36.953020', 8]\n",
"['2018-11-22 16:39:36.545667', 1]\n",
"['2018-11-22 16:48:39.801475', 2]\n",
"['2018-11-22 16:54:33.007480', 1]\n",
"['2018-11-22 16:58:03.356275', 2]\n",
"['2018-11-22 16:58:43.321561', 3]\n",
"['2018-11-22 16:58:47.839429', 4]\n",
"['2018-11-22 16:59:22.924916', 5]\n",
"['2018-11-22 17:00:00.679985', 6]\n",
"['2018-11-22 17:00:55.913896', 7]\n",
"['2018-11-22 17:01:04.132468', 8]\n",
"['2018-11-22 17:01:54.158030', 9]\n",
"['2018-11-22 17:02:56.780906', 7]\n",
"['2018-11-22 17:06:06.266128', 6]\n",
"['2018-11-22 17:06:21.449005', 7]\n",
"['2018-11-22 17:06:56.297944', 8]\n",
"['2018-11-22 17:07:09.227634', 9]\n",
"['2018-11-22 17:07:42.380965', 10]\n",
"['2018-11-22 17:07:59.836618', 9]\n",
"['2018-11-22 17:08:03.255082', 10]\n",
"['2018-11-22 17:10:35.685285', 9]\n",
"['2018-11-22 17:12:13.810732', 3]\n",
"['2018-11-22 17:13:38.336977', 4]\n",
"['2018-11-22 17:14:16.869723', 5]\n",
"['2018-11-22 17:17:10.482941', 4]\n",
"['2018-11-22 17:18:30.783338', 5]\n",
"['2018-11-22 17:18:42.952324', 6]\n",
"['2018-11-22 17:21:29.359556', 4]\n",
"['2018-11-22 17:23:09.725226', 2]\n",
"['2018-11-22 17:28:05.240866', 1]\n",
"['2018-11-22 17:39:29.357223', 2]\n",
"['2018-11-22 17:41:42.558972', 3]\n",
"['2018-11-22 17:43:37.947521', 4]\n",
"['2018-11-22 17:45:08.307989', 5]\n",
"['2018-11-22 17:46:03.776884', 6]\n",
"['2018-11-22 17:47:48.826005', 7]\n",
"['2018-11-22 17:48:45.380272', 6]\n",
"['2018-11-22 17:49:45.789272', 7]\n",
"['2018-11-22 17:51:00.314163', 8]\n",
"['2018-11-22 17:52:00.392452', 7]\n",
"['2018-11-22 17:53:32.927277', 8]\n",
"['2018-11-22 17:53:40.494815', 7]\n",
"['2018-11-22 17:53:59.827308', 8]\n",
"['2018-11-22 17:54:03.485699', 9]\n",
"['2018-11-22 17:54:25.892919', 8]\n",
"['2018-11-22 17:55:32.036627', 9]\n",
"['2018-11-22 17:55:46.443583', 8]\n",
"['2018-11-22 17:58:23.651140', 7]\n",
"['2018-11-22 17:58:48.795630', 8]\n",
"['2018-11-22 17:58:49.645343', 9]\n",
"['2018-11-22 17:59:19.274300', 10]\n",
"['2018-11-22 17:59:29.745735', 11]\n",
"['2018-11-22 18:00:49.511656', 10]\n",
"['2018-11-22 18:00:56.171303', 11]\n",
"['2018-11-22 18:01:03.569386', 12]\n",
"['2018-11-22 18:01:10.471330', 13]\n",
"['2018-11-22 18:01:37.634341', 14]\n",
"['2018-11-22 18:02:48.665107', 13]\n",
"['2018-11-22 18:02:52.397337', 12]\n",
"['2018-11-22 18:03:08.520782', 11]\n",
"['2018-11-22 18:04:02.045063', 10]\n",
"['2018-11-22 18:04:17.107832', 11]\n",
"['2018-11-22 18:04:49.506236', 12]\n",
"['2018-11-22 18:05:13.737443', 11]\n",
"['2018-11-22 18:06:04.104827', 8]\n",
"['2018-11-22 18:06:12.080019', 7]\n",
"['2018-11-22 18:08:00.267892', 8]\n",
"['2018-11-22 18:08:34.748976', 9]\n",
"['2018-11-22 18:09:41.366830', 8]\n",
"['2018-11-22 18:09:58.479123', 9]\n",
"['2018-11-22 18:10:58.495075', 8]\n",
"['2018-11-22 18:12:37.643226', 3]\n",
"['2018-11-22 18:13:33.605536', 4]\n",
"['2018-11-22 18:17:02.650381', 3]\n",
"['2018-11-22 18:21:51.668544', 1]\n",
"['2018-11-22 18:26:36.931175', 2]\n",
"['2018-11-22 18:39:54.134230', 1]\n",
"['2018-11-22 18:43:04.769099', 2]\n",
"['2018-11-22 18:50:57.265593', 1]\n",
"['2018-11-22 18:52:04.894740', 2]\n",
"['2018-11-22 18:53:03.934821', 3]\n",
"['2018-11-22 18:55:04.043878', 2]\n",
"['2018-11-22 19:01:03.217272', 1]\n",
"['2018-11-22 19:01:32.045727', 2]\n",
"['2018-11-22 19:03:35.273474', 3]\n",
"['2018-11-22 19:04:32.308037', 4]\n",
"['2018-11-22 19:04:43.437441', 5]\n",
"['2018-11-22 19:07:56.159656', 4]\n",
"['2018-11-22 19:08:28.148791', 3]\n",
"['2018-11-22 19:10:17.581551', 4]\n",
"['2018-11-22 19:10:20.815614', 5]\n",
"['2018-11-22 19:10:35.622879', 6]\n",
"['2018-11-22 19:11:51.194968', 7]\n",
"['2018-11-22 19:12:04.100417', 8]\n",
"['2018-11-22 19:12:19.349843', 9]\n",
"['2018-11-22 19:14:20.379838', 10]\n",
"['2018-11-22 19:14:24.271864', 11]\n",
"['2018-11-22 19:15:07.976014', 10]\n",
"['2018-11-22 19:15:15.056950', 11]\n",
"['2018-11-22 19:15:23.102067', 10]\n",
"['2018-11-22 19:15:47.879392', 11]\n",
"['2018-11-22 19:16:07.478103', 10]\n",
"['2018-11-22 19:16:13.152799', 9]\n",
"['2018-11-22 19:18:44.487070', 7]\n",
"['2018-11-22 19:18:54.260740', 6]\n",
"['2018-11-22 19:19:37.575665', 7]\n",
"['2018-11-22 19:21:54.035099', 8]\n",
"['2018-11-22 19:22:59.770351', 7]\n",
"['2018-11-22 19:23:33.762433', 6]\n",
"['2018-11-22 19:24:32.986735', 5]\n",
"['2018-11-22 19:26:23.757861', 3]\n",
"['2018-11-22 19:49:41.226910', 1]\n",
"['2018-11-22 19:50:01.268934', 2]\n",
"['2018-11-22 19:50:53.985484', 3]\n",
"['2018-11-22 19:53:54.027647', 2]\n",
"['2018-11-22 19:55:28.149216', 3]\n",
"['2018-11-22 19:55:46.466462', 4]\n",
"['2018-11-22 19:56:02.318793', 5]\n",
"['2018-11-22 19:58:03.340405', 4]\n",
"['2018-11-22 20:05:17.113251', 5]\n",
"['2018-11-22 20:06:05.239102', 4]\n",
"['2018-11-22 20:07:58.421590', 5]\n",
"['2018-11-22 20:09:07.054019', 6]\n",
"['2018-11-22 20:09:18.727101', 5]\n",
"['2018-11-22 20:09:21.811786', 6]\n",
"['2018-11-22 20:09:37.390395', 7]\n",
"['2018-11-22 20:09:50.994495', 6]\n",
"['2018-11-22 20:10:05.084964', 7]\n",
"['2018-11-22 20:11:21.584595', 8]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-22 20:13:00.425772', 9]\n",
"['2018-11-22 20:13:52.116924', 8]\n",
"['2018-11-22 20:14:22.435206', 7]\n",
"['2018-11-22 20:16:15.295371', 6]\n",
"['2018-11-22 20:17:23.984622', 5]\n",
"['2018-11-22 20:18:28.212449', 4]\n",
"['2018-11-22 20:19:13.119820', 5]\n",
"['2018-11-22 20:20:45.290465', 4]\n",
"['2018-11-22 20:22:52.278177', 3]\n",
"['2018-11-22 20:26:51.725141', 4]\n",
"['2018-11-22 20:27:30.456936', 3]\n",
"['2018-11-22 20:27:34.862284', 4]\n",
"['2018-11-22 20:32:47.979118', 5]\n",
"['2018-11-22 20:33:50.578589', 4]\n",
"['2018-11-22 20:38:04.820707', 1]\n",
"['2018-11-22 20:45:48.731063', 2]\n",
"['2018-11-22 20:47:22.739768', 3]\n",
"['2018-11-22 20:51:40.739600', 4]\n",
"['2018-11-22 20:52:40.755568', 3]\n",
"['2018-11-22 20:57:14.728286', 4]\n",
"['2018-11-22 20:57:15.845270', 5]\n",
"['2018-11-22 20:58:04.167585', 6]\n",
"['2018-11-22 20:58:23.539696', 7]\n",
"['2018-11-22 21:00:30.415355', 6]\n",
"['2018-11-22 21:00:52.632447', 7]\n",
"['2018-11-25 05:11:44.815401', 1]\n",
"['2018-11-25 05:28:56.855213', 2]\n",
"['2018-11-25 06:14:54.013778', 1]\n",
"['2018-11-25 06:37:58.031474', 2]\n",
"['2018-11-25 06:43:17.891556', 1]\n",
"['2018-11-25 06:55:49.428055', 2]\n",
"['2018-11-25 06:56:26.497993', 3]\n",
"['2018-11-25 07:00:00.621544', 2]\n",
"['2018-11-25 07:00:06.410847', 3]\n",
"['2018-11-25 07:01:33.301785', 4]\n",
"['2018-11-25 07:03:08.000826', 5]\n",
"['2018-11-25 07:03:10.032806', 6]\n",
"['2018-11-25 07:03:17.426077', 7]\n",
"['2018-11-25 07:03:41.345195', 8]\n",
"['2018-11-25 07:05:04.994113', 7]\n",
"['2018-11-25 07:05:47.277192', 6]\n",
"['2018-11-25 07:06:27.034563', 7]\n",
"['2018-11-25 07:07:37.629414', 6]\n",
"['2018-11-25 07:10:06.313016', 3]\n",
"['2018-11-25 07:10:53.003088', 2]\n",
"['2018-11-25 07:11:15.092422', 3]\n",
"['2018-11-25 07:15:25.281496', 2]\n",
"['2018-11-25 07:19:06.067103', 1]\n",
"['2018-11-25 07:21:56.269691', 2]\n",
"['2018-11-25 07:22:02.966089', 3]\n",
"['2018-11-25 07:22:26.998178', 4]\n",
"['2018-11-25 07:23:06.620259', 3]\n",
"['2018-11-25 07:33:02.755690', 1]\n",
"['2018-11-25 07:36:59.150406', 2]\n",
"['2018-11-25 07:37:00.885503', 3]\n",
"['2018-11-25 07:37:39.290070', 4]\n",
"['2018-11-25 07:37:59.592295', 5]\n",
"['2018-11-25 07:42:00.796368', 4]\n",
"['2018-11-25 07:45:06.971049', 3]\n",
"['2018-11-25 07:45:52.470247', 4]\n",
"['2018-11-25 07:46:05.445053', 5]\n",
"['2018-11-25 07:46:33.366903', 4]\n",
"['2018-11-25 07:46:54.525708', 5]\n",
"['2018-11-25 07:49:55.229297', 4]\n",
"['2018-11-25 07:50:41.449042', 5]\n",
"['2018-11-25 07:50:57.609307', 6]\n",
"['2018-11-25 07:51:20.354465', 5]\n",
"['2018-11-25 07:51:26.494055', 4]\n",
"['2018-11-25 07:52:57.347196', 5]\n",
"['2018-11-25 07:56:47.963756', 6]\n",
"['2018-11-25 07:56:54.796640', 5]\n",
"['2018-11-25 07:57:05.277805', 4]\n",
"['2018-11-25 07:59:32.852075', 3]\n",
"['2018-11-25 08:03:02.968397', 2]\n",
"['2018-11-25 08:08:50.014129', 1]\n",
"['2018-11-25 08:34:32.898486', 2]\n",
"['2018-11-25 08:35:00.341150', 3]\n",
"['2018-11-25 08:39:12.884648', 2]\n",
"['2018-11-25 08:39:22.718266', 3]\n",
"['2018-11-25 08:40:16.706398', 4]\n",
"['2018-11-25 08:41:37.169125', 5]\n",
"['2018-11-25 08:42:43.546378', 6]\n",
"['2018-11-25 08:45:00.043837', 7]\n",
"['2018-11-25 08:45:02.188619', 8]\n",
"['2018-11-25 08:45:30.905380', 9]\n",
"['2018-11-25 08:45:44.944599', 8]\n",
"['2018-11-25 08:46:17.439059', 9]\n",
"['2018-11-25 08:46:31.031381', 8]\n",
"['2018-11-25 08:46:49.390339', 7]\n",
"['2018-11-25 08:48:48.664279', 8]\n",
"['2018-11-25 08:49:21.791084', 6]\n",
"['2018-11-25 08:50:18.511689', 5]\n",
"['2018-11-25 08:51:39.195132', 6]\n",
"['2018-11-25 08:52:18.992592', 7]\n",
"['2018-11-25 08:52:55.577198', 8]\n",
"['2018-11-25 08:52:56.269704', 9]\n",
"['2018-11-25 08:53:22.943923', 8]\n",
"['2018-11-25 08:54:26.409531', 9]\n",
"['2018-11-25 08:56:46.645376', 6]\n",
"['2018-11-25 08:57:49.366362', 4]\n",
"['2018-11-25 08:58:50.387928', 3]\n",
"['2018-11-25 08:59:52.348557', 2]\n",
"['2018-11-25 09:18:26.382250', 1]\n",
"['2018-11-25 09:20:41.769228', 2]\n",
"['2018-11-25 09:21:22.280338', 3]\n",
"['2018-11-25 09:26:41.374416', 1]\n",
"['2018-11-25 09:28:17.447747', 2]\n",
"['2018-11-25 09:30:01.918288', 3]\n",
"['2018-11-25 09:30:06.672338', 4]\n",
"['2018-11-25 09:34:44.042021', 2]\n",
"['2018-11-25 09:34:45.493592', 3]\n",
"['2018-11-25 09:34:51.375403', 4]\n",
"['2018-11-25 09:34:56.133487', 5]\n",
"['2018-11-25 09:35:05.045445', 6]\n",
"['2018-11-25 09:37:14.327578', 5]\n",
"['2018-11-25 09:39:07.369075', 4]\n",
"['2018-11-25 09:45:05.391967', 5]\n",
"['2018-11-25 09:50:01.742970', 4]\n",
"['2018-11-25 09:50:03.039910', 5]\n",
"['2018-11-25 09:58:07.765643', 4]\n",
"['2018-11-25 09:59:25.704475', 5]\n",
"['2018-11-25 10:00:48.289289', 6]\n",
"['2018-11-25 10:07:35.874511', 7]\n",
"['2018-11-25 10:13:57.663392', 8]\n",
"['2018-11-25 10:14:27.226927', 7]\n",
"['2018-11-25 10:17:32.731868', 6]\n",
"['2018-11-25 10:18:07.858477', 5]\n",
"['2018-11-25 10:20:07.984000', 4]\n",
"['2018-11-25 10:20:33.123135', 2]\n",
"['2018-11-25 10:21:41.908722', 3]\n",
"['2018-11-25 10:27:32.569106', 4]\n",
"['2018-11-25 10:30:42.396791', 5]\n",
"['2018-11-25 10:32:15.956130', 3]\n",
"['2018-11-25 10:36:00.941760', 2]\n",
"['2018-11-25 10:36:53.388850', 3]\n",
"['2018-11-25 10:41:35.316521', 4]\n",
"['2018-11-25 10:41:45.448522', 5]\n",
"['2018-11-25 10:42:02.101159', 6]\n",
"['2018-11-25 10:42:52.712283', 7]\n",
"['2018-11-25 10:43:07.964115', 6]\n",
"['2018-11-25 10:43:44.506053', 7]\n",
"['2018-11-25 10:44:28.439036', 8]\n",
"['2018-11-25 10:47:07.011542', 7]\n",
"['2018-11-25 10:48:11.164602', 8]\n",
"['2018-11-25 10:48:14.728267', 9]\n",
"['2018-11-25 10:48:26.034101', 10]\n",
"['2018-11-25 10:49:03.445785', 11]\n",
"['2018-11-25 10:49:27.450552', 12]\n",
"['2018-11-25 10:49:29.067791', 13]\n",
"['2018-11-25 10:49:58.234394', 12]\n",
"['2018-11-25 10:51:01.945072', 13]\n",
"['2018-11-25 10:51:09.827361', 14]\n",
"['2018-11-25 10:51:33.389472', 13]\n",
"['2018-11-25 10:51:57.833638', 14]\n",
"['2018-11-25 10:52:15.651953', 15]\n",
"['2018-11-25 10:52:23.485087', 14]\n",
"['2018-11-25 10:52:26.699937', 13]\n",
"['2018-11-25 10:52:42.621814', 14]\n",
"['2018-11-25 10:53:18.459457', 15]\n",
"['2018-11-25 10:53:28.183299', 16]\n",
"['2018-11-25 10:53:28.993116', 17]\n",
"['2018-11-25 10:54:00.792961', 16]\n",
"['2018-11-25 10:54:21.304610', 15]\n",
"['2018-11-25 10:54:44.818868', 16]\n",
"['2018-11-25 10:55:14.890939', 14]\n",
"['2018-11-25 10:55:23.679103', 15]\n",
"['2018-11-25 10:55:42.319511', 14]\n",
"['2018-11-25 10:57:00.933844', 13]\n",
"['2018-11-25 10:57:18.473992', 11]\n",
"['2018-11-25 10:57:43.484905', 9]\n",
"['2018-11-25 10:58:07.632907', 8]\n",
"['2018-11-25 10:58:19.008244', 9]\n",
"['2018-11-25 10:58:59.242465', 10]\n",
"['2018-11-25 10:59:23.090578', 11]\n",
"['2018-11-25 10:59:25.347272', 12]\n",
"['2018-11-25 10:59:45.626499', 13]\n",
"['2018-11-25 11:00:05.792077', 12]\n",
"['2018-11-25 11:00:17.446170', 13]\n",
"['2018-11-25 11:02:30.702371', 12]\n",
"['2018-11-25 11:02:30.815452', 13]\n",
"['2018-11-25 11:02:51.712587', 12]\n",
"['2018-11-25 11:03:01.150327', 13]\n",
"['2018-11-25 11:03:11.656166', 14]\n",
"['2018-11-25 11:03:31.186069', 12]\n",
"['2018-11-25 11:04:00.025232', 11]\n",
"['2018-11-25 11:04:49.177225', 10]\n",
"['2018-11-25 11:05:11.704649', 11]\n",
"['2018-11-25 11:05:13.814332', 12]\n",
"['2018-11-25 11:05:17.314552', 13]\n",
"['2018-11-25 11:05:23.437140', 12]\n",
"['2018-11-25 11:06:01.029553', 13]\n",
"['2018-11-25 11:07:32.055148', 14]\n",
"['2018-11-25 11:08:55.364150', 15]\n",
"['2018-11-25 11:09:15.080968', 14]\n",
"['2018-11-25 11:09:37.866176', 15]\n",
"['2018-11-25 11:09:59.919807', 16]\n",
"['2018-11-25 11:10:00.746232', 17]\n",
"['2018-11-25 11:10:50.353327', 16]\n",
"['2018-11-25 11:11:02.153453', 15]\n",
"['2018-11-25 11:11:39.492198', 14]\n",
"['2018-11-25 11:12:13.833293', 13]\n",
"['2018-11-25 11:12:42.578454', 14]\n",
"['2018-11-25 11:12:55.962067', 11]\n",
"['2018-11-25 11:13:07.243247', 10]\n",
"['2018-11-25 11:13:57.508680', 8]\n",
"['2018-11-25 11:14:28.476564', 5]\n",
"['2018-11-25 11:14:52.226580', 6]\n",
"['2018-11-25 11:15:01.536435', 7]\n",
"['2018-11-25 11:15:31.718793', 8]\n",
"['2018-11-25 11:16:03.909954', 9]\n",
"['2018-11-25 11:16:44.986880', 10]\n",
"['2018-11-25 11:17:42.566183', 9]\n",
"['2018-11-25 11:17:43.134954', 10]\n",
"['2018-11-25 11:19:17.451222', 9]\n",
"['2018-11-25 11:20:23.877480', 8]\n",
"['2018-11-25 11:21:23.878740', 4]\n",
"['2018-11-25 11:21:26.849103', 5]\n",
"['2018-11-25 11:21:49.580800', 3]\n",
"['2018-11-25 11:22:44.454137', 4]\n",
"['2018-11-25 11:23:23.880673', 3]\n",
"['2018-11-25 11:25:06.861738', 4]\n",
"['2018-11-25 11:25:55.949645', 5]\n",
"['2018-11-25 11:26:01.210391', 6]\n",
"['2018-11-25 11:26:23.885493', 5]\n",
"['2018-11-25 11:26:31.240201', 6]\n",
"['2018-11-25 11:27:00.684559', 7]\n",
"['2018-11-25 11:27:18.253870', 8]\n",
"['2018-11-25 11:28:29.194496', 9]\n",
"['2018-11-25 11:28:46.397829', 8]\n",
"['2018-11-25 11:29:12.916456', 7]\n",
"['2018-11-25 11:30:24.844719', 6]\n",
"['2018-11-25 11:30:58.256423', 7]\n",
"['2018-11-25 11:31:31.028457', 8]\n",
"['2018-11-25 11:32:49.082457', 9]\n",
"['2018-11-25 11:32:55.493677', 8]\n",
"['2018-11-25 11:35:28.166997', 9]\n",
"['2018-11-25 11:36:00.135889', 8]\n",
"['2018-11-25 11:38:26.081087', 9]\n",
"['2018-11-25 11:39:08.469657', 10]\n",
"['2018-11-25 11:39:31.428192', 9]\n",
"['2018-11-25 11:41:21.543172', 8]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-25 11:43:23.410638', 6]\n",
"['2018-11-25 11:45:26.440813', 1]\n",
"['2018-11-25 12:14:24.131951', 2]\n",
"['2018-11-25 12:14:25.762629', 3]\n",
"['2018-11-25 12:15:45.918042', 4]\n",
"['2018-11-25 12:16:53.356123', 5]\n",
"['2018-11-25 12:17:00.949304', 6]\n",
"['2018-11-25 12:17:09.944511', 7]\n",
"['2018-11-25 12:17:19.103393', 8]\n",
"['2018-11-25 12:19:25.953866', 7]\n",
"['2018-11-25 12:21:11.022819', 5]\n",
"['2018-11-25 12:21:26.039693', 4]\n",
"['2018-11-25 12:21:32.694293', 5]\n",
"['2018-11-25 12:24:06.247658', 6]\n",
"['2018-11-25 12:24:17.439719', 7]\n",
"['2018-11-25 12:25:40.128973', 8]\n",
"['2018-11-25 12:28:24.920919', 7]\n",
"['2018-11-25 12:28:27.754362', 8]\n",
"['2018-11-25 12:28:31.899646', 9]\n",
"['2018-11-25 12:28:32.421224', 10]\n",
"['2018-11-25 12:28:33.395223', 11]\n",
"['2018-11-25 12:28:59.061870', 12]\n",
"['2018-11-25 12:30:06.131621', 13]\n",
"['2018-11-25 12:30:24.799248', 12]\n",
"['2018-11-25 12:31:14.173647', 11]\n",
"['2018-11-25 12:32:09.406361', 12]\n",
"['2018-11-25 12:33:09.186929', 13]\n",
"['2018-11-25 12:33:13.416636', 14]\n",
"['2018-11-25 12:33:18.414165', 15]\n",
"['2018-11-25 12:33:20.995214', 14]\n",
"['2018-11-25 12:33:39.499572', 13]\n",
"['2018-11-25 12:33:43.725309', 12]\n",
"['2018-11-25 12:33:52.963166', 11]\n",
"['2018-11-25 12:35:31.489293', 12]\n",
"['2018-11-25 12:35:51.436058', 11]\n",
"['2018-11-25 12:35:54.251671', 12]\n",
"['2018-11-25 12:36:01.060544', 13]\n",
"['2018-11-25 12:37:43.330634', 12]\n",
"['2018-11-25 12:37:50.471581', 11]\n",
"['2018-11-25 12:37:57.935499', 10]\n",
"['2018-11-25 12:41:01.068033', 5]\n",
"['2018-11-25 12:41:44.438613', 4]\n",
"['2018-11-25 12:46:14.595973', 5]\n",
"['2018-11-25 12:48:26.580181', 6]\n",
"['2018-11-25 12:49:51.754025', 7]\n",
"['2018-11-25 12:50:26.673721', 6]\n",
"['2018-11-25 12:52:15.601992', 5]\n",
"['2018-11-25 12:53:11.572659', 4]\n",
"['2018-11-25 12:54:15.142604', 3]\n",
"['2018-11-25 12:55:15.191631', 2]\n",
"['2018-11-25 12:57:55.214889', 1]\n",
"['2018-11-25 12:59:13.291185', 2]\n",
"['2018-11-25 13:01:05.447415', 3]\n",
"['2018-11-25 13:02:25.830605', 2]\n",
"['2018-11-25 13:02:26.320594', 3]\n",
"['2018-11-25 13:02:51.664763', 4]\n",
"['2018-11-25 13:03:20.029380', 3]\n",
"['2018-11-25 13:08:41.546078', 2]\n",
"['2018-11-25 13:10:42.645605', 1]\n",
"['2018-11-25 13:10:57.865892', 2]\n",
"['2018-11-25 13:12:24.613311', 3]\n",
"['2018-11-25 13:13:12.030885', 4]\n",
"['2018-11-25 13:13:17.671550', 5]\n",
"['2018-11-25 13:14:38.838703', 6]\n",
"['2018-11-25 13:14:42.173605', 7]\n",
"['2018-11-25 13:14:43.818193', 8]\n",
"['2018-11-25 13:15:21.490890', 9]\n",
"['2018-11-25 13:16:57.964952', 8]\n",
"['2018-11-25 13:17:26.464963', 7]\n",
"['2018-11-25 13:18:02.606395', 8]\n",
"['2018-11-25 13:18:31.446720', 9]\n",
"['2018-11-25 13:19:08.253139', 10]\n",
"['2018-11-25 13:19:15.262463', 9]\n",
"['2018-11-25 13:19:26.469888', 8]\n",
"['2018-11-25 13:20:11.691808', 9]\n",
"['2018-11-25 13:21:37.495923', 10]\n",
"['2018-11-25 13:21:54.915392', 11]\n",
"['2018-11-25 13:22:26.473849', 10]\n",
"['2018-11-25 13:22:38.356308', 9]\n",
"['2018-11-25 13:23:26.477395', 7]\n",
"['2018-11-25 13:23:41.297898', 8]\n",
"['2018-11-25 13:25:03.472349', 9]\n",
"['2018-11-25 13:25:14.461921', 8]\n",
"['2018-11-25 13:25:25.950413', 9]\n",
"['2018-11-25 13:25:26.021306', 10]\n",
"['2018-11-25 13:25:27.590810', 11]\n",
"['2018-11-25 13:25:36.527660', 10]\n",
"['2018-11-25 13:26:31.339764', 9]\n",
"['2018-11-25 13:27:47.077607', 8]\n",
"['2018-11-25 13:28:38.273837', 9]\n",
"['2018-11-25 13:29:01.270908', 10]\n",
"['2018-11-25 13:30:00.399856', 9]\n",
"['2018-11-25 13:30:14.446551', 10]\n",
"['2018-11-25 13:30:39.076836', 11]\n",
"['2018-11-25 13:30:59.506309', 10]\n",
"['2018-11-25 13:31:21.885751', 9]\n",
"['2018-11-25 13:32:22.781714', 10]\n",
"['2018-11-25 13:32:26.870705', 11]\n",
"['2018-11-25 13:32:34.710288', 12]\n",
"['2018-11-25 13:32:35.243333', 13]\n",
"['2018-11-25 13:32:50.092780', 12]\n",
"['2018-11-25 13:34:21.246831', 13]\n",
"['2018-11-25 13:34:35.264913', 14]\n",
"['2018-11-25 13:34:36.201106', 15]\n",
"['2018-11-25 13:34:38.494929', 14]\n",
"['2018-11-25 13:34:47.146720', 13]\n",
"['2018-11-25 13:35:03.455985', 14]\n",
"['2018-11-25 13:35:51.772801', 13]\n",
"['2018-11-25 13:36:03.521434', 12]\n",
"['2018-11-25 13:36:23.138007', 11]\n",
"['2018-11-25 13:36:58.322286', 9]\n",
"['2018-11-25 13:37:15.134244', 10]\n",
"['2018-11-25 13:37:17.591400', 11]\n",
"['2018-11-25 13:37:23.814244', 12]\n",
"['2018-11-25 13:37:31.437321', 13]\n",
"['2018-11-25 13:38:34.175101', 12]\n",
"['2018-11-25 13:38:49.598055', 9]\n",
"['2018-11-25 13:39:41.220979', 10]\n",
"['2018-11-25 13:40:49.313020', 9]\n",
"['2018-11-25 13:41:41.632826', 7]\n",
"['2018-11-25 13:41:47.735560', 6]\n",
"['2018-11-25 13:42:17.862658', 5]\n",
"['2018-11-25 13:43:23.276376', 6]\n",
"['2018-11-25 13:44:01.800405', 5]\n",
"['2018-11-25 13:44:47.993585', 6]\n",
"['2018-11-25 13:45:01.194664', 7]\n",
"['2018-11-25 13:47:30.267136', 6]\n",
"['2018-11-25 13:49:02.616716', 3]\n",
"['2018-11-25 13:53:17.093534', 1]\n",
"['2018-11-25 13:57:45.432636', 2]\n",
"['2018-11-25 13:59:45.731450', 3]\n",
"['2018-11-25 14:00:04.826566', 4]\n",
"['2018-11-25 14:00:04.830414', 5]\n",
"['2018-11-25 14:00:37.775977', 4]\n",
"['2018-11-25 14:02:16.626332', 3]\n",
"['2018-11-25 14:04:22.408934', 4]\n",
"['2018-11-25 14:04:24.823042', 5]\n",
"['2018-11-25 14:05:15.770427', 6]\n",
"['2018-11-25 14:06:25.332995', 4]\n",
"['2018-11-25 14:06:51.324657', 3]\n",
"['2018-11-25 14:07:56.948177', 4]\n",
"['2018-11-25 14:08:43.897030', 5]\n",
"['2018-11-25 14:10:56.990157', 4]\n",
"['2018-11-25 14:11:23.882071', 3]\n",
"['2018-11-25 14:13:27.981048', 2]\n",
"['2018-11-25 14:13:52.680644', 3]\n",
"['2018-11-25 14:14:14.619163', 4]\n",
"['2018-11-25 14:15:19.867859', 5]\n",
"['2018-11-25 14:18:31.933358', 4]\n",
"['2018-11-25 14:19:52.758760', 2]\n",
"['2018-11-25 14:23:49.918699', 3]\n",
"['2018-11-25 14:23:57.877589', 4]\n",
"['2018-11-25 14:24:01.821465', 5]\n",
"['2018-11-25 14:24:22.438036', 6]\n",
"['2018-11-25 14:25:12.797297', 7]\n",
"['2018-11-25 14:25:59.288335', 8]\n",
"['2018-11-25 14:27:22.701759', 9]\n",
"['2018-11-25 14:27:31.258835', 10]\n",
"['2018-11-25 14:28:01.607441', 9]\n",
"['2018-11-25 14:29:07.167684', 7]\n",
"['2018-11-25 14:29:08.802517', 8]\n",
"['2018-11-25 14:29:31.946545', 9]\n",
"['2018-11-25 14:30:07.384237', 10]\n",
"['2018-11-25 14:31:26.833591', 9]\n",
"['2018-11-25 14:31:53.486417', 10]\n",
"['2018-11-25 14:32:26.104739', 11]\n",
"['2018-11-25 14:32:51.553384', 10]\n",
"['2018-11-25 14:33:11.278965', 9]\n",
"['2018-11-25 14:33:46.783357', 10]\n",
"['2018-11-25 14:34:03.670467', 11]\n",
"['2018-11-25 14:34:45.416321', 9]\n",
"['2018-11-25 14:34:45.513624', 10]\n",
"['2018-11-25 14:36:27.366660', 6]\n",
"['2018-11-25 14:36:47.485609', 7]\n",
"['2018-11-25 14:36:49.198520', 8]\n",
"['2018-11-25 14:36:51.737567', 9]\n",
"['2018-11-25 14:38:28.907457', 10]\n",
"['2018-11-25 14:39:16.909673', 7]\n",
"['2018-11-25 14:44:12.938501', 2]\n",
"['2018-11-25 14:50:49.059950', 3]\n",
"['2018-11-25 14:50:57.587750', 4]\n",
"['2018-11-25 14:51:29.422331', 5]\n",
"['2018-11-25 14:51:42.288227', 4]\n",
"['2018-11-25 14:51:49.973951', 5]\n",
"['2018-11-25 14:52:25.676992', 6]\n",
"['2018-11-25 14:52:30.332954', 7]\n",
"['2018-11-25 14:52:36.533451', 8]\n",
"['2018-11-25 14:53:00.320011', 9]\n",
"['2018-11-25 14:53:03.734208', 10]\n",
"['2018-11-25 14:53:18.282007', 11]\n",
"['2018-11-25 14:55:39.865383', 10]\n",
"['2018-11-25 14:57:34.986575', 8]\n",
"['2018-11-25 14:58:29.708403', 9]\n",
"['2018-11-25 14:58:33.435764', 10]\n",
"['2018-11-25 14:59:01.230180', 11]\n",
"['2018-11-25 14:59:46.530931', 12]\n",
"['2018-11-25 15:00:05.176841', 11]\n",
"['2018-11-25 15:00:10.152507', 9]\n",
"['2018-11-25 15:00:43.251233', 10]\n",
"['2018-11-25 15:02:00.734717', 11]\n",
"['2018-11-25 15:02:34.533131', 10]\n",
"['2018-11-25 15:02:50.102012', 11]\n",
"['2018-11-25 15:02:52.687356', 12]\n",
"['2018-11-25 15:02:56.035379', 13]\n",
"['2018-11-25 15:03:00.263944', 12]\n",
"['2018-11-25 15:03:03.610688', 11]\n",
"['2018-11-25 15:03:43.187127', 12]\n",
"['2018-11-25 15:03:48.718929', 11]\n",
"['2018-11-25 15:04:01.313433', 12]\n",
"['2018-11-25 15:06:21.499540', 13]\n",
"['2018-11-25 15:06:26.803845', 14]\n",
"['2018-11-25 15:06:52.930012', 13]\n",
"['2018-11-25 15:07:09.469329', 14]\n",
"['2018-11-25 15:07:31.824964', 11]\n",
"['2018-11-25 15:07:55.103110', 10]\n",
"['2018-11-25 15:07:58.804143', 11]\n",
"['2018-11-25 15:08:28.389805', 10]\n",
"['2018-11-25 15:08:37.354130', 11]\n",
"['2018-11-25 15:09:09.670688', 12]\n",
"['2018-11-25 15:09:23.171895', 13]\n",
"['2018-11-25 15:09:23.332590', 14]\n",
"['2018-11-25 15:09:52.663875', 15]\n",
"['2018-11-25 15:10:25.618024', 16]\n",
"['2018-11-25 15:10:27.919856', 17]\n",
"['2018-11-25 15:10:38.167089', 16]\n",
"['2018-11-25 15:10:59.952326', 17]\n",
"['2018-11-25 15:11:09.954437', 16]\n",
"['2018-11-25 15:11:52.679702', 17]\n",
"['2018-11-25 15:12:09.826265', 18]\n",
"['2018-11-25 15:12:16.702986', 17]\n",
"['2018-11-25 15:12:35.336772', 15]\n",
"['2018-11-25 15:12:38.259327', 14]\n",
"['2018-11-25 15:13:16.407202', 15]\n",
"['2018-11-25 15:13:40.415062', 14]\n",
"['2018-11-25 15:14:15.723438', 15]\n",
"['2018-11-25 15:14:38.336542', 14]\n",
"['2018-11-25 15:15:53.854137', 12]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-25 15:15:56.091172', 13]\n",
"['2018-11-25 15:16:13.358005', 12]\n",
"['2018-11-25 15:16:55.110871', 13]\n",
"['2018-11-25 15:18:06.938975', 12]\n",
"['2018-11-25 15:18:16.970893', 11]\n",
"['2018-11-25 15:18:26.927317', 10]\n",
"['2018-11-25 15:19:27.176936', 9]\n",
"['2018-11-25 15:19:58.716744', 8]\n",
"['2018-11-25 15:20:03.957883', 7]\n",
"['2018-11-25 15:20:08.998600', 6]\n",
"['2018-11-25 15:20:16.587280', 5]\n",
"['2018-11-25 15:20:29.609959', 6]\n",
"['2018-11-25 15:20:39.618268', 5]\n",
"['2018-11-25 15:20:55.718614', 4]\n",
"['2018-11-25 15:21:19.221791', 5]\n",
"['2018-11-25 15:21:57.123178', 6]\n",
"['2018-11-25 15:23:37.597545', 5]\n",
"['2018-11-25 15:24:08.441176', 6]\n",
"['2018-11-25 15:24:20.433962', 7]\n",
"['2018-11-25 15:25:19.913211', 6]\n",
"['2018-11-25 15:26:29.819910', 7]\n",
"['2018-11-25 15:26:39.984176', 6]\n",
"['2018-11-25 15:27:02.518813', 7]\n",
"['2018-11-25 15:27:06.773893', 8]\n",
"['2018-11-25 15:28:20.544902', 7]\n",
"['2018-11-25 15:29:41.999791', 6]\n",
"['2018-11-25 15:30:27.607201', 7]\n",
"['2018-11-25 15:30:31.247545', 6]\n",
"['2018-11-25 15:31:11.987621', 4]\n",
"['2018-11-25 15:32:02.876524', 5]\n",
"['2018-11-25 15:32:32.052999', 4]\n",
"['2018-11-25 15:33:00.061633', 5]\n",
"['2018-11-25 15:33:41.271251', 6]\n",
"['2018-11-25 15:36:59.678102', 4]\n",
"['2018-11-25 15:37:03.067495', 3]\n",
"['2018-11-25 15:37:05.809917', 4]\n",
"['2018-11-25 15:37:17.222938', 5]\n",
"['2018-11-25 15:37:17.226141', 6]\n",
"['2018-11-25 15:38:58.569760', 4]\n",
"['2018-11-25 15:39:59.735197', 5]\n",
"['2018-11-25 15:40:27.470764', 6]\n",
"['2018-11-25 15:41:17.542235', 5]\n",
"['2018-11-25 15:41:57.563742', 4]\n",
"['2018-11-25 15:43:00.925387', 3]\n",
"['2018-11-25 15:43:37.786807', 4]\n",
"['2018-11-25 15:46:52.734304', 5]\n",
"['2018-11-25 15:46:54.335968', 6]\n",
"['2018-11-25 15:48:27.499059', 7]\n",
"['2018-11-25 15:51:00.592939', 8]\n",
"['2018-11-25 15:51:39.891717', 7]\n",
"['2018-11-25 15:51:46.089905', 8]\n",
"['2018-11-25 15:52:30.988977', 7]\n",
"['2018-11-25 15:53:28.967146', 8]\n",
"['2018-11-25 15:53:53.933552', 9]\n",
"['2018-11-25 15:56:13.918359', 10]\n",
"['2018-11-25 15:56:24.629284', 11]\n",
"['2018-11-25 15:56:28.606639', 12]\n",
"['2018-11-25 15:57:26.209818', 13]\n",
"['2018-11-25 15:57:37.407740', 14]\n",
"['2018-11-25 15:58:03.445372', 13]\n",
"['2018-11-25 15:58:22.503139', 12]\n",
"['2018-11-25 16:00:21.444935', 13]\n",
"['2018-11-25 16:00:29.024359', 12]\n",
"['2018-11-25 16:00:38.242289', 13]\n",
"['2018-11-25 16:01:11.197906', 11]\n",
"['2018-11-25 16:01:11.817947', 12]\n",
"['2018-11-25 16:01:28.782471', 10]\n",
"['2018-11-25 16:02:13.778025', 8]\n",
"['2018-11-25 16:02:38.933574', 7]\n",
"['2018-11-25 16:03:02.921459', 8]\n",
"['2018-11-25 16:03:08.263408', 9]\n",
"['2018-11-25 16:04:16.212905', 10]\n",
"['2018-11-25 16:04:28.999509', 11]\n",
"['2018-11-25 16:04:44.774517', 10]\n",
"['2018-11-25 16:05:26.842546', 9]\n",
"['2018-11-25 16:06:16.855839', 10]\n",
"['2018-11-25 16:06:26.610875', 11]\n",
"['2018-11-25 16:07:27.598391', 9]\n",
"['2018-11-25 16:07:37.767404', 10]\n",
"['2018-11-25 16:07:44.273967', 11]\n",
"['2018-11-25 16:08:29.016146', 10]\n",
"['2018-11-25 16:09:52.007970', 11]\n",
"['2018-11-25 16:09:53.643728', 12]\n",
"['2018-11-25 16:09:55.066625', 13]\n",
"['2018-11-25 16:10:43.026715', 12]\n",
"['2018-11-25 16:10:45.021489', 11]\n",
"['2018-11-25 16:11:30.359477', 10]\n",
"['2018-11-25 16:11:34.425954', 11]\n",
"['2018-11-25 16:12:25.828601', 10]\n",
"['2018-11-25 16:12:34.196546', 9]\n",
"['2018-11-25 16:12:35.118326', 8]\n",
"['2018-11-25 16:12:48.434946', 9]\n",
"['2018-11-25 16:13:21.248517', 10]\n",
"['2018-11-25 16:13:32.710778', 11]\n",
"['2018-11-25 16:13:59.175619', 10]\n",
"['2018-11-25 16:14:18.094376', 9]\n",
"['2018-11-25 16:14:27.287540', 7]\n",
"['2018-11-25 16:16:02.371849', 6]\n",
"['2018-11-25 16:16:59.701954', 5]\n",
"['2018-11-25 16:19:17.689817', 6]\n",
"['2018-11-25 16:20:58.979959', 5]\n",
"['2018-11-25 16:22:25.135894', 4]\n",
"['2018-11-25 16:23:23.765534', 3]\n",
"['2018-11-25 16:23:24.155209', 4]\n",
"['2018-11-25 16:23:37.639315', 3]\n",
"['2018-11-25 16:23:39.841346', 4]\n",
"['2018-11-25 16:26:46.151913', 3]\n",
"['2018-11-25 16:28:08.963842', 1]\n",
"['2018-11-25 16:35:10.108178', 2]\n",
"['2018-11-25 16:43:27.066335', 1]\n",
"['2018-11-25 16:44:27.675009', 2]\n",
"['2018-11-25 16:50:36.247199', 3]\n",
"['2018-11-25 16:51:39.963889', 4]\n",
"['2018-11-25 16:52:00.472855', 5]\n",
"['2018-11-25 16:52:50.660013', 6]\n",
"['2018-11-25 16:53:56.511801', 7]\n",
"['2018-11-25 16:53:58.139738', 8]\n",
"['2018-11-25 16:54:00.779971', 9]\n",
"['2018-11-25 16:55:50.344209', 8]\n",
"['2018-11-25 16:56:59.405894', 9]\n",
"['2018-11-25 16:57:31.012140', 10]\n",
"['2018-11-25 16:57:43.467061', 11]\n",
"['2018-11-25 16:58:02.702863', 10]\n",
"['2018-11-25 16:58:10.707999', 9]\n",
"['2018-11-25 16:59:01.699512', 10]\n",
"['2018-11-25 16:59:46.351205', 11]\n",
"['2018-11-25 17:00:01.820595', 10]\n",
"['2018-11-25 17:00:58.635350', 9]\n",
"['2018-11-25 17:01:43.627891', 8]\n",
"['2018-11-25 17:01:57.802636', 9]\n",
"['2018-11-25 17:03:10.528779', 8]\n",
"['2018-11-25 17:03:44.020020', 9]\n",
"['2018-11-25 17:05:27.316713', 8]\n",
"['2018-11-25 17:06:11.921618', 6]\n",
"['2018-11-25 17:06:55.584892', 7]\n",
"['2018-11-25 17:08:28.559527', 5]\n",
"['2018-11-25 17:09:58.544829', 4]\n",
"['2018-11-25 17:10:25.871967', 5]\n",
"['2018-11-25 17:10:38.052635', 6]\n",
"['2018-11-25 17:11:28.529155', 4]\n",
"['2018-11-25 17:12:28.994795', 3]\n",
"['2018-11-25 17:14:30.164014', 2]\n",
"['2018-11-25 17:15:00.529649', 3]\n",
"['2018-11-25 17:15:26.090640', 4]\n",
"['2018-11-25 17:15:33.652454', 3]\n",
"['2018-11-25 17:16:06.818502', 4]\n",
"['2018-11-25 17:18:51.647058', 3]\n",
"['2018-11-25 17:26:10.768997', 1]\n",
"['2018-11-25 17:27:07.299281', 2]\n",
"['2018-11-25 17:27:07.303435', 3]\n",
"['2018-11-25 17:28:25.791512', 4]\n",
"['2018-11-25 17:30:14.096382', 3]\n",
"['2018-11-25 17:44:00.406806', 1]\n",
"['2018-11-25 17:46:03.818789', 2]\n",
"['2018-11-25 17:50:24.409393', 3]\n",
"['2018-11-25 17:50:36.240190', 4]\n",
"['2018-11-25 17:54:40.613768', 2]\n",
"['2018-11-25 17:56:48.709010', 1]\n",
"['2018-11-25 17:57:20.233877', 2]\n",
"['2018-11-25 17:58:16.144133', 3]\n",
"['2018-11-25 17:58:18.740188', 4]\n",
"['2018-11-25 17:59:32.008201', 5]\n",
"['2018-11-25 18:00:23.986051', 6]\n",
"['2018-11-25 18:00:32.662687', 7]\n",
"['2018-11-25 18:02:36.381708', 6]\n",
"['2018-11-25 18:04:04.192299', 7]\n",
"['2018-11-25 18:04:32.857529', 6]\n",
"['2018-11-25 18:04:35.116662', 5]\n",
"['2018-11-25 18:04:47.291180', 4]\n",
"['2018-11-25 18:05:05.641466', 3]\n",
"['2018-11-25 18:05:10.486677', 4]\n",
"['2018-11-25 18:05:24.469046', 5]\n",
"['2018-11-25 18:06:08.956791', 6]\n",
"['2018-11-25 18:06:33.792925', 7]\n",
"['2018-11-25 18:06:50.879535', 8]\n",
"['2018-11-25 18:07:20.084122', 9]\n",
"['2018-11-25 18:10:45.276195', 7]\n",
"['2018-11-25 18:11:11.946407', 6]\n",
"['2018-11-25 18:11:31.946997', 5]\n",
"['2018-11-25 18:13:07.487004', 4]\n",
"['2018-11-25 18:13:09.125093', 5]\n",
"['2018-11-25 18:13:11.749522', 6]\n",
"['2018-11-25 18:13:15.096080', 7]\n",
"['2018-11-25 18:14:14.281891', 8]\n",
"['2018-11-25 18:14:34.233000', 9]\n",
"['2018-11-25 18:15:18.300198', 10]\n",
"['2018-11-25 18:15:28.825254', 11]\n",
"['2018-11-25 18:15:37.987978', 10]\n",
"['2018-11-25 18:15:47.137564', 9]\n",
"['2018-11-25 18:16:02.086093', 10]\n",
"['2018-11-25 18:18:06.264144', 6]\n",
"['2018-11-25 18:19:07.867012', 5]\n",
"['2018-11-25 18:20:41.352127', 2]\n",
"['2018-11-25 18:29:25.426306', 1]\n",
"['2018-11-25 18:29:33.378984', 2]\n",
"['2018-11-25 18:29:34.398916', 3]\n",
"['2018-11-25 18:34:33.695576', 1]\n",
"['2018-11-25 18:41:47.968679', 2]\n",
"['2018-11-25 18:42:48.127163', 3]\n",
"['2018-11-25 18:43:14.105249', 4]\n",
"['2018-11-25 18:43:52.538371', 5]\n",
"['2018-11-25 18:44:03.230773', 6]\n",
"['2018-11-25 18:44:05.598792', 7]\n",
"['2018-11-25 18:44:58.137186', 8]\n",
"['2018-11-25 18:45:21.008578', 9]\n",
"['2018-11-25 18:45:49.322199', 8]\n",
"['2018-11-25 18:47:12.487142', 7]\n",
"['2018-11-25 18:47:21.974659', 8]\n",
"['2018-11-25 18:48:06.985094', 7]\n",
"['2018-11-25 18:49:21.552027', 8]\n",
"['2018-11-25 18:50:52.055319', 7]\n",
"['2018-11-25 18:52:05.956030', 8]\n",
"['2018-11-25 18:53:28.938496', 9]\n",
"['2018-11-25 18:53:32.305484', 10]\n",
"['2018-11-25 18:53:41.458661', 11]\n",
"['2018-11-25 18:54:19.476815', 12]\n",
"['2018-11-25 18:56:15.128954', 11]\n",
"['2018-11-25 18:57:33.107177', 12]\n",
"['2018-11-25 18:57:50.028163', 10]\n",
"['2018-11-25 18:58:00.038280', 9]\n",
"['2018-11-25 18:59:02.689764', 10]\n",
"['2018-11-25 18:59:16.308802', 9]\n",
"['2018-11-25 19:00:40.188590', 8]\n",
"['2018-11-25 19:01:10.930322', 9]\n",
"['2018-11-25 19:01:20.218781', 8]\n",
"['2018-11-25 19:01:33.182384', 9]\n",
"['2018-11-25 19:01:37.832592', 8]\n",
"['2018-11-25 19:01:49.070708', 9]\n",
"['2018-11-25 19:03:20.348766', 8]\n",
"['2018-11-25 19:04:16.731758', 9]\n",
"['2018-11-25 19:05:27.516017', 8]\n",
"['2018-11-25 19:05:46.045992', 6]\n",
"['2018-11-25 19:06:58.917170', 5]\n",
"['2018-11-25 19:07:31.405925', 4]\n",
"['2018-11-25 19:07:36.329917', 5]\n",
"['2018-11-25 19:07:57.428662', 6]\n",
"['2018-11-25 19:08:06.595627', 7]\n",
"['2018-11-25 19:08:31.782159', 8]\n",
"['2018-11-25 19:08:33.336311', 9]\n",
"['2018-11-25 19:08:34.312723', 10]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-25 19:08:34.567248', 11]\n",
"['2018-11-25 19:08:40.638682', 10]\n",
"['2018-11-25 19:08:59.280867', 11]\n",
"['2018-11-25 19:09:20.699380', 12]\n",
"['2018-11-25 19:11:30.995011', 11]\n",
"['2018-11-25 19:12:09.836429', 10]\n",
"['2018-11-25 19:12:36.820339', 9]\n",
"['2018-11-25 19:12:49.866604', 8]\n",
"['2018-11-25 19:15:39.961039', 7]\n",
"['2018-11-25 19:17:50.736062', 6]\n",
"['2018-11-25 19:18:03.606197', 7]\n",
"['2018-11-25 19:18:10.745448', 6]\n",
"['2018-11-25 19:19:00.766940', 5]\n",
"['2018-11-25 19:19:40.807901', 4]\n",
"['2018-11-25 19:20:52.693609', 5]\n",
"['2018-11-25 19:21:18.264846', 6]\n",
"['2018-11-25 19:21:41.872088', 7]\n",
"['2018-11-25 19:22:08.875308', 8]\n",
"['2018-11-25 19:22:20.925491', 7]\n",
"['2018-11-25 19:24:31.016645', 6]\n",
"['2018-11-25 19:26:26.628356', 5]\n",
"['2018-11-25 19:26:31.095817', 4]\n",
"['2018-11-25 19:26:51.116389', 3]\n",
"['2018-11-25 19:27:11.118273', 2]\n",
"['2018-11-25 19:28:03.317381', 3]\n",
"['2018-11-25 19:28:46.096639', 4]\n",
"['2018-11-25 19:29:00.912522', 5]\n",
"['2018-11-25 19:29:00.916646', 6]\n",
"['2018-11-25 19:30:14.158145', 7]\n",
"['2018-11-25 19:31:43.247711', 6]\n",
"['2018-11-25 19:33:08.227963', 5]\n",
"['2018-11-25 19:35:11.289931', 4]\n",
"['2018-11-25 19:39:40.203402', 1]\n",
"['2018-11-25 19:45:27.883057', 2]\n",
"['2018-11-25 19:46:12.645316', 3]\n",
"['2018-11-25 19:46:26.065684', 4]\n",
"['2018-11-25 19:49:48.444240', 3]\n",
"['2018-11-25 19:50:42.600375', 2]\n",
"['2018-11-25 19:53:38.392910', 3]\n",
"['2018-11-25 19:54:15.742957', 4]\n",
"['2018-11-25 19:54:30.774062', 5]\n",
"['2018-11-25 19:54:58.280194', 6]\n",
"['2018-11-25 19:55:02.209950', 7]\n",
"['2018-11-25 19:57:32.339295', 8]\n",
"['2018-11-25 19:58:02.437363', 6]\n",
"['2018-11-25 19:59:01.234921', 5]\n",
"['2018-11-25 19:59:42.495338', 4]\n",
"['2018-11-25 20:01:57.473201', 3]\n",
"['2018-11-25 20:05:56.530321', 4]\n",
"['2018-11-25 20:07:16.827969', 3]\n",
"['2018-11-25 20:07:31.212124', 4]\n",
"['2018-11-25 20:10:06.761832', 3]\n",
"['2018-11-25 20:17:15.484897', 1]\n",
"['2018-11-25 20:18:08.793401', 2]\n",
"['2018-11-26 04:50:28.510707', 1]\n",
"['2018-11-26 05:08:00.228086', 2]\n",
"['2018-11-26 05:08:59.340824', 3]\n",
"['2018-11-26 05:09:32.286176', 4]\n",
"['2018-11-26 05:12:12.563480', 5]\n",
"['2018-11-26 05:12:20.584585', 6]\n",
"['2018-11-26 05:14:06.742477', 5]\n",
"['2018-11-26 05:16:03.049372', 3]\n",
"['2018-11-26 05:17:38.888473', 2]\n",
"['2018-11-26 05:22:49.697577', 1]\n",
"['2018-11-26 05:25:01.053782', 2]\n",
"['2018-11-26 05:25:01.883692', 3]\n",
"['2018-11-26 05:26:01.818028', 4]\n",
"['2018-11-26 05:26:51.773045', 3]\n",
"['2018-11-26 05:27:58.962100', 4]\n",
"['2018-11-26 05:28:13.291940', 5]\n",
"['2018-11-26 05:30:44.409796', 4]\n",
"['2018-11-26 05:32:41.399009', 2]\n",
"['2018-11-26 05:35:56.300285', 3]\n",
"['2018-11-26 05:41:41.946496', 2]\n",
"['2018-11-26 06:00:34.266439', 1]\n",
"['2018-11-26 06:01:52.917100', 2]\n",
"['2018-11-26 06:03:59.076457', 3]\n",
"['2018-11-26 06:06:51.271213', 4]\n",
"['2018-11-26 06:09:59.906509', 2]\n",
"['2018-11-26 06:11:58.076326', 3]\n",
"['2018-11-26 06:12:57.614964', 4]\n",
"['2018-11-26 06:14:01.823293', 3]\n",
"['2018-11-26 06:16:04.576673', 2]\n",
"['2018-11-26 06:16:21.311337', 3]\n",
"['2018-11-26 06:18:14.367876', 2]\n",
"['2018-11-26 06:28:46.602603', 3]\n",
"['2018-11-26 06:29:21.563172', 4]\n",
"['2018-11-26 06:30:39.588972', 5]\n",
"['2018-11-26 06:31:46.179105', 6]\n",
"['2018-11-26 06:31:54.923416', 7]\n",
"['2018-11-26 06:31:54.927565', 8]\n",
"['2018-11-26 06:32:05.512879', 9]\n",
"['2018-11-26 06:33:23.105912', 8]\n",
"['2018-11-26 06:34:39.206059', 9]\n",
"['2018-11-26 06:34:55.625057', 10]\n",
"['2018-11-26 06:35:12.625235', 8]\n",
"['2018-11-26 06:36:51.448103', 7]\n",
"['2018-11-26 06:37:30.639758', 8]\n",
"['2018-11-26 06:38:03.919334', 9]\n",
"['2018-11-26 06:41:07.530623', 10]\n",
"['2018-11-26 06:41:09.685073', 11]\n",
"['2018-11-26 06:41:47.423843', 12]\n",
"['2018-11-26 06:42:24.859441', 13]\n",
"['2018-11-26 06:43:44.710416', 12]\n",
"['2018-11-26 06:44:39.150268', 11]\n",
"['2018-11-26 06:44:58.559256', 10]\n",
"['2018-11-26 06:45:25.797331', 8]\n",
"['2018-11-26 06:45:55.923595', 9]\n",
"['2018-11-26 06:47:11.022400', 8]\n",
"['2018-11-26 06:47:31.844249', 9]\n",
"['2018-11-26 06:48:29.024431', 10]\n",
"['2018-11-26 06:49:56.154315', 9]\n",
"['2018-11-26 06:50:04.867873', 10]\n",
"['2018-11-26 06:51:34.814859', 11]\n",
"['2018-11-26 06:51:56.193522', 10]\n",
"['2018-11-26 06:52:37.415791', 11]\n",
"['2018-11-26 06:53:29.149202', 12]\n",
"['2018-11-26 06:54:51.399145', 11]\n",
"['2018-11-26 06:55:08.254358', 10]\n",
"['2018-11-26 06:56:07.341188', 11]\n",
"['2018-11-26 06:56:31.717535', 10]\n",
"['2018-11-26 06:56:40.006257', 11]\n",
"['2018-11-26 06:58:10.698453', 10]\n",
"['2018-11-26 06:58:37.204297', 9]\n",
"['2018-11-26 06:58:45.649526', 8]\n",
"['2018-11-26 06:59:39.438497', 9]\n",
"['2018-11-26 06:59:39.580422', 10]\n",
"['2018-11-26 06:59:44.577463', 11]\n",
"['2018-11-26 06:59:59.642382', 12]\n",
"['2018-11-26 07:00:00.589585', 13]\n",
"['2018-11-26 07:00:09.583553', 12]\n",
"['2018-11-26 07:00:17.171225', 11]\n",
"['2018-11-26 07:00:43.057019', 10]\n",
"['2018-11-26 07:00:59.105853', 11]\n",
"['2018-11-26 07:02:10.038546', 12]\n",
"['2018-11-26 07:03:41.457046', 11]\n",
"['2018-11-26 07:04:54.528966', 7]\n",
"['2018-11-26 07:05:16.357422', 4]\n",
"['2018-11-26 07:05:22.069695', 5]\n",
"['2018-11-26 07:05:49.412819', 6]\n",
"['2018-11-26 07:06:11.026932', 7]\n",
"['2018-11-26 07:08:42.455784', 6]\n",
"['2018-11-26 07:09:22.549983', 5]\n",
"['2018-11-26 07:10:12.580886', 3]\n",
"['2018-11-26 07:12:10.437551', 4]\n",
"['2018-11-26 07:13:01.688459', 5]\n",
"['2018-11-26 07:13:20.324105', 6]\n",
"['2018-11-26 07:14:08.173207', 7]\n",
"['2018-11-26 07:15:36.834150', 8]\n",
"['2018-11-26 07:18:36.876494', 7]\n",
"['2018-11-26 07:19:27.648754', 6]\n",
"['2018-11-26 07:21:29.665217', 5]\n",
"['2018-11-26 07:23:40.425282', 1]\n",
"['2018-11-26 07:29:57.220558', 2]\n",
"['2018-11-26 07:30:34.760751', 3]\n",
"['2018-11-26 07:33:59.421474', 2]\n",
"['2018-11-26 07:34:57.598289', 3]\n",
"['2018-11-26 07:38:34.547478', 4]\n",
"['2018-11-26 07:39:56.495461', 5]\n",
"['2018-11-26 07:40:32.324376', 6]\n",
"['2018-11-26 07:42:04.838420', 7]\n",
"['2018-11-26 07:43:14.741624', 8]\n",
"['2018-11-26 07:44:35.987779', 6]\n",
"['2018-11-26 07:44:47.405366', 7]\n",
"['2018-11-26 07:44:58.559619', 8]\n",
"['2018-11-26 07:45:34.675092', 9]\n",
"['2018-11-26 07:46:04.843777', 8]\n",
"['2018-11-26 07:46:39.504913', 9]\n",
"['2018-11-26 07:46:55.844936', 10]\n",
"['2018-11-26 07:48:41.561708', 11]\n",
"['2018-11-26 07:48:50.543557', 12]\n",
"['2018-11-26 07:48:55.368301', 13]\n",
"['2018-11-26 07:50:06.654364', 14]\n",
"['2018-11-26 07:50:08.647512', 15]\n",
"['2018-11-26 07:50:24.979396', 16]\n",
"['2018-11-26 07:50:34.668904', 17]\n",
"['2018-11-26 07:51:01.195313', 18]\n",
"['2018-11-26 07:51:07.725222', 19]\n",
"['2018-11-26 07:51:19.188813', 20]\n",
"['2018-11-26 07:51:43.308681', 19]\n",
"['2018-11-26 07:52:53.608258', 18]\n",
"['2018-11-26 07:53:11.189149', 17]\n",
"['2018-11-26 07:53:25.563016', 16]\n",
"['2018-11-26 07:53:39.574292', 17]\n",
"['2018-11-26 07:54:07.170026', 16]\n",
"['2018-11-26 07:54:21.434893', 17]\n",
"['2018-11-26 07:54:28.974068', 18]\n",
"['2018-11-26 07:54:33.728680', 19]\n",
"['2018-11-26 07:54:36.593102', 18]\n",
"['2018-11-26 07:55:04.334452', 19]\n",
"['2018-11-26 07:55:34.688214', 20]\n",
"['2018-11-26 07:55:52.424176', 21]\n",
"['2018-11-26 07:55:54.035149', 22]\n",
"['2018-11-26 07:56:08.022810', 23]\n",
"['2018-11-26 07:57:52.324339', 22]\n",
"['2018-11-26 07:58:00.439240', 23]\n",
"['2018-11-26 07:58:03.884818', 24]\n",
"['2018-11-26 07:58:15.603593', 25]\n",
"['2018-11-26 07:58:25.939236', 24]\n",
"['2018-11-26 07:58:29.355496', 25]\n",
"['2018-11-26 07:58:34.824878', 23]\n",
"['2018-11-26 07:58:59.579708', 21]\n",
"['2018-11-26 07:59:04.363174', 20]\n",
"['2018-11-26 07:59:29.371621', 19]\n",
"['2018-11-26 07:59:35.386908', 18]\n",
"['2018-11-26 07:59:53.743244', 19]\n",
"['2018-11-26 07:59:58.812186', 17]\n",
"['2018-11-26 08:00:35.496123', 18]\n",
"['2018-11-26 08:00:49.891471', 19]\n",
"['2018-11-26 08:00:52.550967', 18]\n",
"['2018-11-26 08:01:02.589213', 17]\n",
"['2018-11-26 08:01:15.983885', 16]\n",
"['2018-11-26 08:01:55.789549', 14]\n",
"['2018-11-26 08:02:10.578743', 15]\n",
"['2018-11-26 08:02:16.470848', 16]\n",
"['2018-11-26 08:02:31.330772', 15]\n",
"['2018-11-26 08:03:00.696409', 14]\n",
"['2018-11-26 08:03:06.039473', 15]\n",
"['2018-11-26 08:04:27.426715', 14]\n",
"['2018-11-26 08:05:00.197848', 15]\n",
"['2018-11-26 08:05:30.240127', 14]\n",
"['2018-11-26 08:05:57.195430', 13]\n",
"['2018-11-26 08:06:29.157135', 11]\n",
"['2018-11-26 08:06:34.747068', 10]\n",
"['2018-11-26 08:07:58.997270', 8]\n",
"['2018-11-26 08:08:10.536341', 9]\n",
"['2018-11-26 08:08:15.853583', 10]\n",
"['2018-11-26 08:08:59.963522', 9]\n",
"['2018-11-26 08:09:10.718691', 10]\n",
"['2018-11-26 08:09:20.996446', 9]\n",
"['2018-11-26 08:10:00.988304', 8]\n",
"['2018-11-26 08:10:10.258359', 9]\n",
"['2018-11-26 08:12:14.179129', 8]\n",
"['2018-11-26 08:14:05.458506', 7]\n",
"['2018-11-26 08:16:43.771354', 8]\n",
"['2018-11-26 08:17:38.178343', 7]\n",
"['2018-11-26 08:18:11.379405', 6]\n",
"['2018-11-26 08:19:15.965539', 5]\n",
"['2018-11-26 08:20:02.054528', 4]\n",
"['2018-11-26 08:20:25.256436', 3]\n",
"['2018-11-26 08:22:57.055641', 4]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-26 08:30:26.279142', 1]\n",
"['2018-11-26 08:34:24.964470', 2]\n",
"['2018-11-26 08:34:38.641310', 3]\n",
"['2018-11-26 08:35:40.159978', 4]\n",
"['2018-11-26 08:38:41.864900', 3]\n",
"['2018-11-26 08:38:51.871045', 2]\n",
"['2018-11-26 08:38:57.636732', 3]\n",
"['2018-11-26 08:39:48.974892', 4]\n",
"['2018-11-26 08:41:12.011647', 3]\n",
"['2018-11-26 08:41:47.185870', 4]\n",
"['2018-11-26 08:44:00.296508', 5]\n",
"['2018-11-26 08:44:05.375912', 6]\n",
"['2018-11-26 08:44:11.216718', 7]\n",
"['2018-11-26 08:44:44.457905', 8]\n",
"['2018-11-26 08:45:36.044150', 9]\n",
"['2018-11-26 08:46:02.272714', 8]\n",
"['2018-11-26 08:48:42.423310', 7]\n",
"['2018-11-26 08:48:42.866785', 8]\n",
"['2018-11-26 08:49:06.814098', 9]\n",
"['2018-11-26 08:50:00.401865', 10]\n",
"['2018-11-26 08:50:04.462650', 9]\n",
"['2018-11-26 08:51:13.341229', 8]\n",
"['2018-11-26 08:52:13.610296', 7]\n",
"['2018-11-26 08:52:16.228344', 8]\n",
"['2018-11-26 08:52:16.414267', 9]\n",
"['2018-11-26 08:52:24.121178', 10]\n",
"['2018-11-26 08:53:38.861151', 11]\n",
"['2018-11-26 08:53:40.120410', 12]\n",
"['2018-11-26 08:53:59.277363', 10]\n",
"['2018-11-26 08:54:01.215039', 11]\n",
"['2018-11-26 08:55:39.935649', 10]\n",
"['2018-11-26 08:57:34.688788', 11]\n",
"['2018-11-26 08:57:45.561136', 8]\n",
"['2018-11-26 08:58:14.296038', 6]\n",
"['2018-11-26 08:58:25.330113', 7]\n",
"['2018-11-26 08:58:29.092646', 8]\n",
"['2018-11-26 08:58:39.551740', 9]\n",
"['2018-11-26 08:59:15.384307', 8]\n",
"['2018-11-26 08:59:20.656292', 9]\n",
"['2018-11-26 08:59:40.726808', 7]\n",
"['2018-11-26 08:59:53.050096', 8]\n",
"['2018-11-26 09:01:59.014658', 9]\n",
"['2018-11-26 09:02:26.390594', 8]\n",
"['2018-11-26 09:02:34.377169', 7]\n",
"['2018-11-26 09:03:33.778571', 6]\n",
"['2018-11-26 09:04:01.582521', 7]\n",
"['2018-11-26 09:05:27.640869', 8]\n",
"['2018-11-26 09:05:35.868231', 7]\n",
"['2018-11-26 09:06:20.607252', 8]\n",
"['2018-11-26 09:06:45.471831', 9]\n",
"['2018-11-26 09:06:57.673918', 10]\n",
"['2018-11-26 09:07:05.072386', 7]\n",
"['2018-11-26 09:07:05.516171', 8]\n",
"['2018-11-26 09:07:09.981069', 9]\n",
"['2018-11-26 09:07:15.139320', 10]\n",
"['2018-11-26 09:08:31.757711', 11]\n",
"['2018-11-26 09:09:15.365937', 10]\n",
"['2018-11-26 09:09:42.245151', 11]\n",
"['2018-11-26 09:09:59.378573', 9]\n",
"['2018-11-26 09:11:00.153777', 7]\n",
"['2018-11-26 09:11:42.239508', 4]\n",
"['2018-11-26 09:13:36.736744', 5]\n",
"['2018-11-26 09:13:41.271604', 6]\n",
"['2018-11-26 09:13:45.037462', 7]\n",
"['2018-11-26 09:18:00.156029', 3]\n",
"['2018-11-26 09:20:08.162642', 1]\n",
"['2018-11-26 09:20:41.283587', 2]\n",
"['2018-11-26 09:28:37.244035', 1]\n",
"['2018-11-26 09:43:17.281394', 2]\n",
"['2018-11-26 09:44:38.670465', 1]\n",
"['2018-11-26 09:45:28.838418', 2]\n",
"['2018-11-26 09:51:13.035330', 3]\n",
"['2018-11-26 09:55:08.056008', 4]\n",
"['2018-11-26 09:55:23.444697', 3]\n",
"['2018-11-26 09:57:34.026852', 4]\n",
"['2018-11-26 09:58:09.657100', 5]\n",
"['2018-11-26 09:58:21.970578', 6]\n",
"['2018-11-26 09:58:43.544009', 7]\n",
"['2018-11-26 09:59:34.033266', 8]\n",
"['2018-11-26 10:00:10.509358', 9]\n",
"['2018-11-26 10:00:12.987522', 10]\n",
"['2018-11-26 10:00:37.978763', 11]\n",
"['2018-11-26 10:01:24.563376', 12]\n",
"['2018-11-26 10:02:20.994119', 11]\n",
"['2018-11-26 10:03:21.215156', 9]\n",
"['2018-11-26 10:03:56.266494', 10]\n",
"['2018-11-26 10:04:13.395791', 8]\n",
"['2018-11-26 10:04:21.862242', 7]\n",
"['2018-11-26 10:04:45.349068', 6]\n",
"['2018-11-26 10:05:47.357391', 5]\n",
"['2018-11-26 10:06:18.365140', 4]\n",
"['2018-11-26 10:07:11.671495', 5]\n",
"['2018-11-26 10:07:11.754540', 6]\n",
"['2018-11-26 10:07:27.170170', 7]\n",
"['2018-11-26 10:07:39.481723', 6]\n",
"['2018-11-26 10:09:17.605531', 5]\n",
"['2018-11-26 10:09:36.643607', 6]\n",
"['2018-11-26 10:11:30.481211', 4]\n",
"['2018-11-26 10:13:33.380254', 3]\n",
"['2018-11-26 10:15:00.347689', 1]\n",
"['2018-11-26 10:27:51.879942', 2]\n",
"['2018-11-26 10:29:17.615466', 3]\n",
"['2018-11-26 10:33:11.780816', 2]\n",
"['2018-11-26 10:34:57.608597', 1]\n",
"['2018-11-26 10:35:47.920351', 2]\n",
"['2018-11-26 10:40:23.479807', 1]\n",
"['2018-11-26 10:40:25.777030', 2]\n",
"['2018-11-26 10:44:22.442925', 3]\n",
"['2018-11-26 10:45:54.262862', 2]\n",
"['2018-11-26 10:46:46.444943', 1]\n",
"['2018-11-26 10:47:18.168849', 2]\n",
"['2018-11-26 10:50:19.738955', 3]\n",
"['2018-11-26 10:52:36.950490', 4]\n",
"['2018-11-26 10:53:39.055619', 5]\n",
"['2018-11-26 10:58:18.366772', 6]\n",
"['2018-11-26 10:59:49.853454', 7]\n",
"['2018-11-26 11:00:15.686262', 8]\n",
"['2018-11-26 11:00:20.586423', 9]\n",
"['2018-11-26 11:01:01.911726', 10]\n",
"['2018-11-26 11:01:06.492904', 11]\n",
"['2018-11-26 11:01:36.567525', 12]\n",
"['2018-11-26 11:01:38.523653', 13]\n",
"['2018-11-26 11:01:48.208770', 12]\n",
"['2018-11-26 11:01:51.647740', 13]\n",
"['2018-11-26 11:02:02.130454', 12]\n",
"['2018-11-26 11:03:12.026779', 13]\n",
"['2018-11-26 11:03:30.076112', 14]\n",
"['2018-11-26 11:03:51.651624', 12]\n",
"['2018-11-26 11:05:19.819080', 10]\n",
"['2018-11-26 11:05:44.362448', 9]\n",
"['2018-11-26 11:05:44.902928', 10]\n",
"['2018-11-26 11:05:53.043061', 11]\n",
"['2018-11-26 11:06:13.166105', 10]\n",
"['2018-11-26 11:06:14.519716', 11]\n",
"['2018-11-26 11:06:35.865415', 12]\n",
"['2018-11-26 11:07:29.210751', 13]\n",
"['2018-11-26 11:07:32.154031', 11]\n",
"['2018-11-26 11:07:37.210603', 12]\n",
"['2018-11-26 11:07:58.684001', 11]\n",
"['2018-11-26 11:08:06.257168', 10]\n",
"['2018-11-26 11:08:13.601488', 11]\n",
"['2018-11-26 11:08:32.516210', 10]\n",
"['2018-11-26 11:08:43.883831', 11]\n",
"['2018-11-26 11:09:07.884552', 12]\n",
"['2018-11-26 11:09:25.271912', 13]\n",
"['2018-11-26 11:09:31.886013', 14]\n",
"['2018-11-26 11:09:50.138254', 15]\n",
"['2018-11-26 11:10:20.860516', 14]\n",
"['2018-11-26 11:11:15.979924', 13]\n",
"['2018-11-26 11:12:07.292775', 14]\n",
"['2018-11-26 11:12:34.793082', 15]\n",
"['2018-11-26 11:12:37.582550', 16]\n",
"['2018-11-26 11:12:58.702053', 15]\n",
"['2018-11-26 11:13:02.179007', 16]\n",
"['2018-11-26 11:13:03.895861', 17]\n",
"['2018-11-26 11:13:14.177682', 18]\n",
"['2018-11-26 11:13:18.708249', 17]\n",
"['2018-11-26 11:13:38.656273', 18]\n",
"['2018-11-26 11:13:54.570931', 17]\n",
"['2018-11-26 11:13:59.507259', 16]\n",
"['2018-11-26 11:14:08.523871', 17]\n",
"['2018-11-26 11:14:43.240325', 18]\n",
"['2018-11-26 11:14:55.984175', 17]\n",
"['2018-11-26 11:15:20.842886', 16]\n",
"['2018-11-26 11:15:36.600648', 17]\n",
"['2018-11-26 11:16:03.791153', 16]\n",
"['2018-11-26 11:16:17.644475', 15]\n",
"['2018-11-26 11:16:34.877008', 14]\n",
"['2018-11-26 11:16:38.418252', 13]\n",
"['2018-11-26 11:16:46.443147', 12]\n",
"['2018-11-26 11:18:09.561004', 9]\n",
"['2018-11-26 11:19:30.596498', 7]\n",
"['2018-11-26 11:19:42.089891', 8]\n",
"['2018-11-26 11:20:11.482648', 6]\n",
"['2018-11-26 11:20:29.152281', 5]\n",
"['2018-11-26 11:20:52.289930', 6]\n",
"['2018-11-26 11:21:30.866182', 5]\n",
"['2018-11-26 11:22:06.967111', 6]\n",
"['2018-11-26 11:24:12.346726', 4]\n",
"['2018-11-26 11:25:39.132905', 3]\n",
"['2018-11-26 11:26:13.433425', 2]\n",
"['2018-11-26 11:27:55.237230', 3]\n",
"['2018-11-26 11:45:39.652722', 1]\n",
"['2018-11-26 11:49:28.050332', 2]\n",
"['2018-11-26 11:49:47.467816', 3]\n",
"['2018-11-26 11:51:05.004001', 4]\n",
"['2018-11-26 11:51:14.539823', 5]\n",
"['2018-11-26 11:52:42.050168', 6]\n",
"['2018-11-26 11:53:05.237872', 7]\n",
"['2018-11-26 11:54:34.210328', 8]\n",
"['2018-11-26 11:56:11.157975', 6]\n",
"['2018-11-26 11:56:34.701590', 7]\n",
"['2018-11-26 11:57:16.371632', 8]\n",
"['2018-11-26 11:57:51.613296', 9]\n",
"['2018-11-26 11:58:20.642099', 10]\n",
"['2018-11-26 11:58:45.405692', 11]\n",
"['2018-11-26 11:59:10.700214', 10]\n",
"['2018-11-26 11:59:50.124326', 11]\n",
"['2018-11-26 12:00:27.828697', 12]\n",
"['2018-11-26 12:00:29.540733', 13]\n",
"['2018-11-26 12:00:33.537386', 14]\n",
"['2018-11-26 12:00:34.122700', 15]\n",
"['2018-11-26 12:00:37.098320', 14]\n",
"['2018-11-26 12:00:46.576694', 15]\n",
"['2018-11-26 12:00:51.077067', 16]\n",
"['2018-11-26 12:00:55.617578', 17]\n",
"['2018-11-26 12:00:56.219921', 18]\n",
"['2018-11-26 12:01:17.828873', 19]\n",
"['2018-11-26 12:01:27.938361', 20]\n",
"['2018-11-26 12:02:29.011204', 19]\n",
"['2018-11-26 12:02:34.831433', 20]\n",
"['2018-11-26 12:03:46.997615', 19]\n",
"['2018-11-26 12:04:05.203526', 20]\n",
"['2018-11-26 12:04:16.444414', 21]\n",
"['2018-11-26 12:04:37.136870', 18]\n",
"['2018-11-26 12:04:56.415884', 17]\n",
"['2018-11-26 12:05:57.045573', 8]\n",
"['2018-11-26 12:06:08.064910', 9]\n",
"['2018-11-26 12:06:11.429560', 10]\n",
"['2018-11-26 12:06:12.122405', 11]\n",
"['2018-11-26 12:06:14.654470', 12]\n",
"['2018-11-26 12:07:36.113899', 11]\n",
"['2018-11-26 12:07:50.762142', 12]\n",
"['2018-11-26 12:08:01.490761', 11]\n",
"['2018-11-26 12:08:20.354845', 10]\n",
"['2018-11-26 12:08:50.432112', 11]\n",
"['2018-11-26 12:09:18.278398', 12]\n",
"['2018-11-26 12:09:30.103354', 13]\n",
"['2018-11-26 12:10:19.128504', 9]\n",
"['2018-11-26 12:10:59.595186', 10]\n",
"['2018-11-26 12:10:59.884096', 11]\n",
"['2018-11-26 12:11:06.637360', 12]\n",
"['2018-11-26 12:11:28.862909', 13]\n",
"['2018-11-26 12:11:55.783248', 12]\n",
"['2018-11-26 12:13:16.998365', 11]\n",
"['2018-11-26 12:13:24.414371', 12]\n",
"['2018-11-26 12:13:50.987166', 13]\n",
"['2018-11-26 12:15:03.519666', 11]\n",
"['2018-11-26 12:15:21.304591', 12]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-26 12:15:29.144760', 11]\n",
"['2018-11-26 12:15:39.069112', 10]\n",
"['2018-11-26 12:17:29.271198', 9]\n",
"['2018-11-26 12:17:39.270497', 8]\n",
"['2018-11-26 12:19:39.394761', 7]\n",
"['2018-11-26 12:20:16.293399', 8]\n",
"['2018-11-26 12:21:49.654347', 7]\n",
"['2018-11-26 12:23:34.220571', 6]\n",
"['2018-11-26 12:24:02.643007', 5]\n",
"['2018-11-26 12:24:59.517873', 4]\n",
"['2018-11-26 12:25:12.612019', 3]\n",
"['2018-11-26 12:25:27.249573', 4]\n",
"['2018-11-26 12:27:16.206126', 3]\n",
"['2018-11-26 12:28:53.307099', 4]\n",
"['2018-11-26 12:29:26.428273', 3]\n",
"['2018-11-26 12:29:29.905512', 2]\n",
"['2018-11-26 12:29:38.730789', 3]\n",
"['2018-11-26 12:29:45.458405', 4]\n",
"['2018-11-26 12:34:01.698630', 2]\n",
"['2018-11-26 12:39:10.775083', 1]\n",
"['2018-11-26 12:41:54.054678', 2]\n",
"['2018-11-26 12:49:53.742778', 3]\n",
"['2018-11-26 12:50:44.312570', 4]\n",
"['2018-11-26 12:52:59.038585', 3]\n",
"['2018-11-26 12:53:21.233261', 4]\n",
"['2018-11-26 12:55:08.650439', 5]\n",
"['2018-11-26 12:55:18.068073', 6]\n",
"['2018-11-26 12:55:45.248515', 7]\n",
"['2018-11-26 12:56:13.004509', 8]\n",
"['2018-11-26 12:56:38.379555', 9]\n",
"['2018-11-26 12:56:56.655465', 10]\n",
"['2018-11-26 12:56:59.089719', 9]\n",
"['2018-11-26 12:56:59.647279', 10]\n",
"['2018-11-26 12:57:49.315220', 9]\n",
"['2018-11-26 12:58:10.866436', 8]\n",
"['2018-11-26 12:58:14.994215', 9]\n",
"['2018-11-26 12:58:19.959066', 10]\n",
"['2018-11-26 12:58:24.243135', 11]\n",
"['2018-11-26 12:59:48.142940', 10]\n",
"['2018-11-26 13:01:02.663250', 9]\n",
"['2018-11-26 13:01:21.155877', 8]\n",
"['2018-11-26 13:01:31.155915', 7]\n",
"['2018-11-26 13:01:40.534631', 8]\n",
"['2018-11-26 13:01:46.660345', 9]\n",
"['2018-11-26 13:01:51.166295', 8]\n",
"['2018-11-26 13:02:01.176617', 7]\n",
"['2018-11-26 13:02:07.908658', 8]\n",
"['2018-11-26 13:02:57.616660', 6]\n",
"['2018-11-26 13:02:58.749288', 7]\n",
"['2018-11-26 13:03:28.599120', 8]\n",
"['2018-11-26 13:03:52.144484', 9]\n",
"['2018-11-26 13:04:30.032166', 10]\n",
"['2018-11-26 13:04:59.643399', 11]\n",
"['2018-11-26 13:05:18.909699', 10]\n",
"['2018-11-26 13:05:28.307537', 11]\n",
"['2018-11-26 13:06:27.870336', 8]\n",
"['2018-11-26 13:06:51.419406', 9]\n",
"['2018-11-26 13:07:15.312113', 7]\n",
"['2018-11-26 13:07:36.834245', 8]\n",
"['2018-11-26 13:07:43.479888', 9]\n",
"['2018-11-26 13:08:05.590308', 8]\n",
"['2018-11-26 13:08:25.833277', 9]\n",
"['2018-11-26 13:08:43.128122', 10]\n",
"['2018-11-26 13:08:48.972371', 11]\n",
"['2018-11-26 13:08:53.581064', 12]\n",
"['2018-11-26 13:08:55.892616', 13]\n",
"['2018-11-26 13:08:57.626457', 14]\n",
"['2018-11-26 13:09:33.259279', 13]\n",
"['2018-11-26 13:09:38.570612', 12]\n",
"['2018-11-26 13:09:43.200935', 13]\n",
"['2018-11-26 13:10:55.702116', 12]\n",
"['2018-11-26 13:11:35.747746', 11]\n",
"['2018-11-26 13:11:53.558118', 10]\n",
"['2018-11-26 13:13:42.929362', 11]\n",
"['2018-11-26 13:13:45.834626', 10]\n",
"['2018-11-26 13:13:55.843646', 8]\n",
"['2018-11-26 13:14:00.569483', 7]\n",
"['2018-11-26 13:14:23.808890', 8]\n",
"['2018-11-26 13:14:41.070409', 9]\n",
"['2018-11-26 13:15:18.793210', 10]\n",
"['2018-11-26 13:15:20.153024', 11]\n",
"['2018-11-26 13:15:27.846111', 12]\n",
"['2018-11-26 13:16:27.096451', 13]\n",
"['2018-11-26 13:17:05.978278', 12]\n",
"['2018-11-26 13:17:16.653089', 11]\n",
"['2018-11-26 13:17:17.736000', 10]\n",
"['2018-11-26 13:17:36.009108', 9]\n",
"['2018-11-26 13:17:46.019015', 8]\n",
"['2018-11-26 13:18:10.771987', 9]\n",
"['2018-11-26 13:18:19.560688', 10]\n",
"['2018-11-26 13:18:23.075582', 11]\n",
"['2018-11-26 13:18:27.720385', 12]\n",
"['2018-11-26 13:18:36.626556', 13]\n",
"['2018-11-26 13:19:41.953037', 14]\n",
"['2018-11-26 13:21:03.013757', 13]\n",
"['2018-11-26 13:22:44.828687', 9]\n",
"['2018-11-26 13:23:03.860373', 8]\n",
"['2018-11-26 13:23:22.014011', 7]\n",
"['2018-11-26 13:25:42.079596', 3]\n",
"['2018-11-26 13:25:44.681821', 4]\n",
"['2018-11-26 13:27:07.041518', 5]\n",
"['2018-11-26 13:27:11.446570', 6]\n",
"['2018-11-26 13:27:25.066770', 5]\n",
"['2018-11-26 13:28:09.190760', 6]\n",
"['2018-11-26 13:30:03.580856', 7]\n",
"['2018-11-26 13:33:00.246677', 6]\n",
"['2018-11-26 13:34:30.857353', 5]\n",
"['2018-11-26 13:35:16.190170', 3]\n",
"['2018-11-26 13:36:46.855833', 2]\n",
"['2018-11-26 13:37:32.188639', 1]\n",
"['2018-11-26 13:37:41.038556', 2]\n",
"['2018-11-26 13:38:17.272620', 3]\n",
"['2018-11-26 13:38:23.547101', 4]\n",
"['2018-11-26 13:40:33.677097', 5]\n",
"['2018-11-26 13:40:57.232066', 6]\n",
"['2018-11-26 13:43:05.020709', 7]\n",
"['2018-11-26 13:44:48.341371', 6]\n",
"['2018-11-26 13:46:15.899512', 7]\n",
"['2018-11-26 13:47:17.044976', 8]\n",
"['2018-11-26 13:47:22.050330', 9]\n",
"['2018-11-26 13:50:02.025647', 10]\n",
"['2018-11-26 13:50:17.609537', 11]\n",
"['2018-11-26 13:50:56.276796', 12]\n",
"['2018-11-26 13:52:50.527094', 13]\n",
"['2018-11-26 13:53:11.375395', 14]\n",
"['2018-11-26 13:53:11.396279', 15]\n",
"['2018-11-26 13:53:23.782439', 14]\n",
"['2018-11-26 13:53:43.041888', 15]\n",
"['2018-11-26 13:53:50.542881', 16]\n",
"['2018-11-26 13:53:52.403211', 17]\n",
"['2018-11-26 13:54:19.108588', 16]\n",
"['2018-11-26 13:54:59.059526', 17]\n",
"['2018-11-26 13:55:10.832737', 16]\n",
"['2018-11-26 13:55:14.976658', 15]\n",
"['2018-11-26 13:55:23.004877', 16]\n",
"['2018-11-26 13:55:24.667720', 17]\n",
"['2018-11-26 13:55:30.294838', 18]\n",
"['2018-11-26 13:55:31.284889', 19]\n",
"['2018-11-26 13:55:36.285520', 20]\n",
"['2018-11-26 13:55:57.603779', 21]\n",
"['2018-11-26 13:56:11.573552', 20]\n",
"['2018-11-26 13:57:04.758981', 19]\n",
"['2018-11-26 13:57:09.903305', 20]\n",
"['2018-11-26 13:57:26.409987', 21]\n",
"['2018-11-26 13:57:43.065762', 20]\n",
"['2018-11-26 13:57:53.989901', 19]\n",
"['2018-11-26 13:58:23.440580', 20]\n",
"['2018-11-26 13:59:20.437298', 21]\n",
"['2018-11-26 13:59:25.699513', 19]\n",
"['2018-11-26 13:59:27.354537', 20]\n",
"['2018-11-26 13:59:29.145894', 19]\n",
"['2018-11-26 13:59:40.335446', 17]\n",
"['2018-11-26 14:01:25.799571', 14]\n",
"['2018-11-26 14:02:26.312369', 13]\n",
"['2018-11-26 14:02:32.484117', 11]\n",
"['2018-11-26 14:02:53.737089', 10]\n",
"['2018-11-26 14:03:13.049472', 9]\n",
"['2018-11-26 14:03:57.345920', 8]\n",
"['2018-11-26 14:04:56.952897', 9]\n",
"['2018-11-26 14:06:00.226685', 7]\n",
"['2018-11-26 14:07:05.632494', 8]\n",
"['2018-11-26 14:07:56.940761', 7]\n",
"['2018-11-26 14:08:41.937867', 6]\n",
"['2018-11-26 14:10:28.246256', 7]\n",
"['2018-11-26 14:11:04.526793', 5]\n",
"['2018-11-26 14:12:05.437147', 4]\n",
"['2018-11-26 14:13:06.476958', 2]\n",
"['2018-11-26 14:16:35.665579', 3]\n",
"['2018-11-26 14:21:01.421502', 2]\n",
"['2018-11-26 14:21:24.287376', 3]\n",
"['2018-11-26 14:25:52.574082', 2]\n",
"['2018-11-26 14:31:20.762057', 3]\n",
"['2018-11-26 14:33:57.138860', 4]\n",
"['2018-11-26 14:35:40.353880', 3]\n",
"['2018-11-26 14:36:19.076594', 4]\n",
"['2018-11-26 14:38:13.093607', 3]\n",
"['2018-11-26 14:40:00.152006', 4]\n",
"['2018-11-26 14:41:46.777591', 3]\n",
"['2018-11-26 14:41:49.004522', 4]\n",
"['2018-11-26 14:42:21.106162', 5]\n",
"['2018-11-26 14:45:33.284924', 6]\n",
"['2018-11-26 14:45:51.397560', 5]\n",
"['2018-11-26 14:46:41.779043', 4]\n",
"['2018-11-26 14:46:54.475490', 5]\n",
"['2018-11-26 14:47:22.133482', 6]\n",
"['2018-11-26 14:49:46.512014', 7]\n",
"['2018-11-26 14:50:20.768264', 8]\n",
"['2018-11-26 14:51:12.542278', 7]\n",
"['2018-11-26 14:52:23.173456', 6]\n",
"['2018-11-26 14:52:24.126236', 7]\n",
"['2018-11-26 14:52:26.108921', 8]\n",
"['2018-11-26 14:52:39.053833', 7]\n",
"['2018-11-26 14:52:52.710916', 8]\n",
"['2018-11-26 14:52:56.170685', 9]\n",
"['2018-11-26 14:54:38.062657', 8]\n",
"['2018-11-26 14:54:53.787829', 6]\n",
"['2018-11-26 14:54:54.198621', 7]\n",
"['2018-11-26 14:55:19.903858', 8]\n",
"['2018-11-26 14:56:20.786234', 9]\n",
"['2018-11-26 14:56:21.947480', 10]\n",
"['2018-11-26 14:56:56.321481', 9]\n",
"['2018-11-26 14:57:26.344312', 8]\n",
"['2018-11-26 14:58:25.625883', 9]\n",
"['2018-11-26 14:59:00.627904', 8]\n",
"['2018-11-26 14:59:03.135518', 9]\n",
"['2018-11-26 15:00:16.498342', 8]\n",
"['2018-11-26 15:00:21.564344', 7]\n",
"['2018-11-26 15:00:23.656312', 6]\n",
"['2018-11-26 15:00:29.506634', 5]\n",
"['2018-11-26 15:01:24.123272', 6]\n",
"['2018-11-26 15:01:54.804104', 7]\n",
"['2018-11-26 15:04:17.368244', 5]\n",
"['2018-11-26 15:05:26.750819', 4]\n",
"['2018-11-26 15:06:06.792279', 2]\n",
"['2018-11-26 15:19:16.567125', 1]\n",
"['2018-11-26 15:19:23.502743', 2]\n",
"['2018-11-26 15:36:03.036309', 1]\n",
"['2018-11-26 15:36:54.345654', 2]\n",
"['2018-11-26 15:42:29.502750', 3]\n",
"['2018-11-26 15:43:08.147245', 4]\n",
"['2018-11-26 15:47:07.883621', 5]\n",
"['2018-11-26 15:51:41.686499', 6]\n",
"['2018-11-26 15:52:35.834695', 7]\n",
"['2018-11-26 15:52:38.722938', 8]\n",
"['2018-11-26 15:53:25.116370', 9]\n",
"['2018-11-26 15:53:48.563326', 10]\n",
"['2018-11-26 15:53:57.255853', 11]\n",
"['2018-11-26 15:54:04.284745', 12]\n",
"['2018-11-26 15:54:33.079500', 11]\n",
"['2018-11-26 15:55:06.961151', 12]\n",
"['2018-11-26 15:55:45.712544', 11]\n",
"['2018-11-26 15:56:37.505036', 10]\n",
"['2018-11-26 15:57:30.677524', 11]\n",
"['2018-11-26 15:58:03.504671', 10]\n",
"['2018-11-26 15:58:33.382373', 11]\n",
"['2018-11-26 15:58:34.836461', 10]\n",
"['2018-11-26 15:58:52.788942', 9]\n",
"['2018-11-26 15:59:07.582624', 8]\n",
"['2018-11-26 15:59:57.888755', 9]\n",
"['2018-11-26 16:00:01.134266', 10]\n",
"['2018-11-26 16:00:07.122559', 11]\n",
"['2018-11-26 16:00:24.128252', 12]\n",
"['2018-11-26 16:00:27.878243', 13]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-26 16:00:32.586298', 14]\n",
"['2018-11-26 16:00:34.246802', 13]\n",
"['2018-11-26 16:00:40.654788', 12]\n",
"['2018-11-26 16:00:41.408267', 13]\n",
"['2018-11-26 16:00:58.297598', 14]\n",
"['2018-11-26 16:01:41.503736', 13]\n",
"['2018-11-26 16:01:47.036706', 14]\n",
"['2018-11-26 16:02:07.831331', 15]\n",
"['2018-11-26 16:02:40.515343', 16]\n",
"['2018-11-26 16:03:15.285110', 15]\n",
"['2018-11-26 16:03:17.733844', 16]\n",
"['2018-11-26 16:03:37.770085', 15]\n",
"['2018-11-26 16:03:58.304200', 14]\n",
"['2018-11-26 16:04:05.594700', 13]\n",
"['2018-11-26 16:04:17.089116', 12]\n",
"['2018-11-26 16:04:58.303106', 9]\n",
"['2018-11-26 16:06:27.494524', 10]\n",
"['2018-11-26 16:07:05.219638', 8]\n",
"['2018-11-26 16:07:24.036252', 7]\n",
"['2018-11-26 16:08:16.548292', 8]\n",
"['2018-11-26 16:09:04.200328', 9]\n",
"['2018-11-26 16:09:08.757684', 10]\n",
"['2018-11-26 16:09:25.910733', 11]\n",
"['2018-11-26 16:09:53.447826', 10]\n",
"['2018-11-26 16:10:00.382839', 11]\n",
"['2018-11-26 16:10:31.604311', 12]\n",
"['2018-11-26 16:12:48.249093', 11]\n",
"['2018-11-26 16:13:07.828945', 10]\n",
"['2018-11-26 16:13:49.559096', 8]\n",
"['2018-11-26 16:14:00.894203', 7]\n",
"['2018-11-26 16:14:01.847198', 8]\n",
"['2018-11-26 16:14:08.868716', 7]\n",
"['2018-11-26 16:14:25.652691', 6]\n",
"['2018-11-26 16:14:43.912848', 5]\n",
"['2018-11-26 16:16:05.419674', 6]\n",
"['2018-11-26 16:18:24.225368', 5]\n",
"['2018-11-26 16:18:37.139351', 6]\n",
"['2018-11-26 16:19:18.375476', 7]\n",
"['2018-11-26 16:20:08.685577', 6]\n",
"['2018-11-26 16:20:39.778816', 5]\n",
"['2018-11-26 16:24:12.157780', 4]\n",
"['2018-11-26 16:27:57.495888', 5]\n",
"['2018-11-26 16:29:22.661158', 4]\n",
"['2018-11-26 16:30:35.550558', 5]\n",
"['2018-11-26 16:30:47.718913', 4]\n",
"['2018-11-26 16:40:26.445803', 1]\n",
"['2018-11-26 16:42:03.442460', 2]\n",
"['2018-11-26 16:48:47.901941', 3]\n",
"['2018-11-26 16:49:58.944754', 4]\n",
"['2018-11-26 16:54:59.531497', 5]\n",
"['2018-11-26 16:57:15.927984', 6]\n",
"['2018-11-26 16:57:52.488521', 5]\n",
"['2018-11-26 16:58:06.780750', 6]\n",
"['2018-11-26 16:58:13.211950', 7]\n",
"['2018-11-26 16:58:13.498243', 8]\n",
"['2018-11-26 16:58:18.431692', 9]\n",
"['2018-11-26 16:59:00.022707', 8]\n",
"['2018-11-26 16:59:08.022127', 9]\n",
"['2018-11-26 16:59:17.203616', 10]\n",
"['2018-11-26 16:59:28.495834', 11]\n",
"['2018-11-26 16:59:30.485016', 12]\n",
"['2018-11-26 16:59:40.988254', 13]\n",
"['2018-11-26 16:59:56.937562', 14]\n",
"['2018-11-26 17:00:00.018869', 15]\n",
"['2018-11-26 17:00:41.455267', 16]\n",
"['2018-11-26 17:01:08.495224', 15]\n",
"['2018-11-26 17:02:08.536295', 14]\n",
"['2018-11-26 17:02:09.830105', 15]\n",
"['2018-11-26 17:02:23.547516', 16]\n",
"['2018-11-26 17:02:39.602904', 15]\n",
"['2018-11-26 17:03:33.310818', 13]\n",
"['2018-11-26 17:03:42.618225', 14]\n",
"['2018-11-26 17:04:04.912515', 13]\n",
"['2018-11-26 17:04:41.692216', 12]\n",
"['2018-11-26 17:04:46.213522', 10]\n",
"['2018-11-26 17:04:46.258007', 11]\n",
"['2018-11-26 17:06:13.938987', 10]\n",
"['2018-11-26 17:06:31.119573', 11]\n",
"['2018-11-26 17:06:41.398407', 12]\n",
"['2018-11-26 17:07:32.719215', 13]\n",
"['2018-11-26 17:07:50.933944', 12]\n",
"['2018-11-26 17:08:50.916344', 11]\n",
"['2018-11-26 17:10:15.920733', 9]\n",
"['2018-11-26 17:11:13.119804', 7]\n",
"['2018-11-26 17:11:57.651672', 6]\n",
"['2018-11-26 17:12:12.406664', 5]\n",
"['2018-11-26 17:12:39.636695', 4]\n",
"['2018-11-26 17:12:57.444370', 5]\n",
"['2018-11-26 17:13:06.754543', 6]\n",
"['2018-11-26 17:13:14.999598', 7]\n",
"['2018-11-26 17:13:22.935542', 8]\n",
"['2018-11-26 17:13:53.571789', 7]\n",
"['2018-11-26 17:14:09.374983', 6]\n",
"['2018-11-26 17:14:34.470999', 7]\n",
"['2018-11-26 17:14:41.552283', 8]\n",
"['2018-11-26 17:15:06.655755', 9]\n",
"['2018-11-26 17:16:57.621602', 8]\n",
"['2018-11-26 17:17:08.114188', 7]\n",
"['2018-11-26 17:17:34.757907', 8]\n",
"['2018-11-26 17:17:49.912753', 7]\n",
"['2018-11-26 17:18:19.507567', 8]\n",
"['2018-11-26 17:18:29.337409', 9]\n",
"['2018-11-26 17:19:19.578695', 10]\n",
"['2018-11-26 17:22:18.304052', 5]\n",
"['2018-11-26 17:23:49.651941', 2]\n",
"['2018-11-26 17:28:49.588609', 3]\n",
"['2018-11-26 17:35:50.997339', 1]\n",
"['2018-11-26 17:39:07.446273', 2]\n",
"['2018-11-26 17:40:02.651883', 3]\n",
"['2018-11-26 17:40:19.699399', 4]\n",
"['2018-11-26 17:40:28.278682', 3]\n",
"['2018-11-26 17:40:35.433526', 4]\n",
"['2018-11-26 17:42:28.649766', 5]\n",
"['2018-11-26 17:44:10.317259', 4]\n",
"['2018-11-26 17:45:33.734095', 5]\n",
"['2018-11-26 17:45:47.124891', 6]\n",
"['2018-11-26 17:46:27.706233', 7]\n",
"['2018-11-26 17:46:30.193987', 6]\n",
"['2018-11-26 17:47:22.452563', 5]\n",
"['2018-11-26 17:48:45.063840', 6]\n",
"['2018-11-26 17:49:30.886193', 7]\n",
"['2018-11-26 17:51:29.826930', 8]\n",
"['2018-11-26 17:51:51.447832', 9]\n",
"['2018-11-26 17:52:57.167304', 10]\n",
"['2018-11-26 17:54:55.913193', 11]\n",
"['2018-11-26 17:55:22.140838', 12]\n",
"['2018-11-26 17:56:06.650561', 13]\n",
"['2018-11-26 17:56:17.427700', 14]\n",
"['2018-11-26 17:56:46.213254', 15]\n",
"['2018-11-26 17:57:05.059725', 14]\n",
"['2018-11-26 17:57:14.231065', 15]\n",
"['2018-11-26 17:58:51.141065', 14]\n",
"['2018-11-26 17:59:02.785519', 13]\n",
"['2018-11-26 17:59:15.126939', 12]\n",
"['2018-11-26 18:00:00.147366', 13]\n",
"['2018-11-26 18:00:19.211082', 12]\n",
"['2018-11-26 18:00:28.049954', 11]\n",
"['2018-11-26 18:00:33.916684', 12]\n",
"['2018-11-26 18:00:47.612453', 10]\n",
"['2018-11-26 18:01:20.158215', 8]\n",
"['2018-11-26 18:02:01.367023', 9]\n",
"['2018-11-26 18:03:05.338809', 8]\n",
"['2018-11-26 18:03:31.125564', 9]\n",
"['2018-11-26 18:03:40.031733', 10]\n",
"['2018-11-26 18:03:47.078879', 9]\n",
"['2018-11-26 18:04:08.686099', 8]\n",
"['2018-11-26 18:04:22.722725', 9]\n",
"['2018-11-26 18:04:30.962230', 8]\n",
"['2018-11-26 18:04:49.543915', 7]\n",
"['2018-11-26 18:06:10.951989', 6]\n",
"['2018-11-26 18:06:34.956877', 5]\n",
"['2018-11-26 18:07:23.828994', 6]\n",
"['2018-11-26 18:07:33.600887', 5]\n",
"['2018-11-26 18:07:50.395303', 4]\n",
"['2018-11-26 18:09:53.194624', 5]\n",
"['2018-11-26 18:10:00.215393', 6]\n",
"['2018-11-26 18:10:00.959590', 7]\n",
"['2018-11-26 18:10:06.488325', 8]\n",
"['2018-11-26 18:10:09.662131', 9]\n",
"['2018-11-26 18:12:59.065272', 8]\n",
"['2018-11-26 18:14:30.086369', 6]\n",
"['2018-11-26 18:15:00.267873', 4]\n",
"['2018-11-26 18:15:30.318097', 2]\n",
"['2018-11-26 18:16:00.508036', 1]\n",
"['2018-11-26 18:16:14.092464', 2]\n",
"['2018-11-26 18:17:14.175659', 3]\n",
"['2018-11-26 18:20:16.647374', 2]\n",
"['2018-11-26 18:26:05.223754', 1]\n",
"['2018-11-26 18:26:49.242475', 2]\n",
"['2018-11-26 18:33:34.998059', 1]\n",
"['2018-11-26 18:54:05.874057', 2]\n",
"['2018-11-26 18:54:11.859313', 3]\n",
"['2018-11-26 18:54:21.577699', 4]\n",
"['2018-11-26 18:55:30.643638', 5]\n",
"['2018-11-26 18:55:39.192621', 6]\n",
"['2018-11-26 18:56:00.062118', 5]\n",
"['2018-11-26 18:56:20.475766', 6]\n",
"['2018-11-26 18:56:22.599995', 7]\n",
"['2018-11-26 18:56:31.718128', 8]\n",
"['2018-11-26 18:56:35.713651', 9]\n",
"['2018-11-26 18:56:57.308283', 10]\n",
"['2018-11-26 18:58:24.892806', 9]\n",
"['2018-11-26 18:59:25.616790', 10]\n",
"['2018-11-26 19:00:20.034095', 8]\n",
"['2018-11-26 19:00:32.999081', 6]\n",
"['2018-11-26 19:01:34.249792', 4]\n",
"['2018-11-26 19:03:04.517173', 5]\n",
"['2018-11-26 19:03:29.259812', 4]\n",
"['2018-11-26 19:04:03.281354', 5]\n",
"['2018-11-26 19:06:38.346350', 6]\n",
"['2018-11-26 19:07:16.169284', 5]\n",
"['2018-11-26 19:08:37.736541', 4]\n",
"['2018-11-26 19:08:54.176230', 3]\n",
"['2018-11-26 19:09:34.402394', 4]\n",
"['2018-11-26 19:14:01.886456', 3]\n",
"['2018-11-26 19:14:07.998163', 4]\n",
"['2018-11-26 19:14:28.538077', 5]\n",
"['2018-11-26 19:17:31.327316', 6]\n",
"['2018-11-26 19:17:41.774637', 7]\n",
"['2018-11-26 19:18:20.966497', 6]\n",
"['2018-11-26 19:21:10.229772', 5]\n",
"['2018-11-26 19:21:40.991474', 4]\n",
"['2018-11-26 19:22:12.083850', 3]\n",
"['2018-11-26 19:24:26.791208', 4]\n",
"['2018-11-26 19:36:46.481954', 1]\n",
"['2018-11-26 19:37:25.130915', 2]\n",
"['2018-11-26 19:41:23.451054', 3]\n",
"['2018-11-26 19:41:25.290839', 2]\n",
"['2018-11-26 19:46:38.200424', 3]\n",
"['2018-11-26 19:46:49.880188', 4]\n",
"['2018-11-26 19:51:09.901304', 3]\n",
"['2018-11-26 19:51:21.792572', 4]\n",
"['2018-11-26 19:51:24.975841', 5]\n",
"['2018-11-26 19:52:33.592335', 3]\n",
"['2018-11-26 19:52:38.625433', 4]\n",
"['2018-11-26 19:53:53.860642', 5]\n",
"['2018-11-26 19:56:13.377007', 4]\n",
"['2018-11-26 19:58:40.101500', 3]\n",
"['2018-11-26 20:01:25.133868', 4]\n",
"['2018-11-26 20:04:07.865345', 5]\n",
"['2018-11-26 20:04:46.973280', 6]\n",
"['2018-11-26 20:04:58.241546', 7]\n",
"['2018-11-26 20:05:50.314991', 8]\n",
"['2018-11-26 20:07:24.913099', 9]\n",
"['2018-11-26 20:08:19.391311', 7]\n",
"['2018-11-26 20:08:54.694858', 6]\n",
"['2018-11-26 20:09:23.299211', 7]\n",
"['2018-11-26 20:09:26.504385', 6]\n",
"['2018-11-26 20:16:15.875729', 5]\n",
"['2018-11-26 20:16:48.749983', 4]\n",
"['2018-11-26 20:20:43.880375', 3]\n",
"['2018-11-26 20:22:45.228484', 2]\n",
"['2018-11-26 20:24:56.133052', 3]\n",
"['2018-11-26 20:27:11.207083', 4]\n",
"['2018-11-26 20:28:34.190531', 5]\n",
"['2018-11-26 20:28:34.193930', 6]\n",
"['2018-11-26 20:30:01.508970', 5]\n",
"['2018-11-26 20:30:22.959211', 4]\n",
"['2018-11-26 20:30:56.214479', 5]\n",
"['2018-11-26 20:31:05.226929', 4]\n",
"['2018-11-26 20:33:59.318390', 3]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-26 20:34:32.498158', 2]\n",
"['2018-11-26 20:41:40.621048', 1]\n",
"['2018-11-26 20:47:30.809413', 2]\n",
"['2018-11-26 20:47:35.138889', 3]\n",
"['2018-11-26 20:48:01.919936', 4]\n",
"['2018-11-26 20:49:30.244451', 5]\n",
"['2018-11-26 20:55:39.457039', 1]\n",
"['2018-11-22 05:36:22.948006', 2]\n",
"['2018-11-22 05:36:24.606504', 3]\n",
"['2018-11-22 05:36:24.896547', 4]\n",
"['2018-11-22 05:36:26.042057', 5]\n",
"['2018-11-22 05:36:34.765252', 6]\n",
"['2018-11-22 05:48:06.157088', 2]\n",
"['2018-11-22 05:52:28.364529', 3]\n",
"['2018-11-22 05:54:30.020330', 2]\n",
"['2018-11-22 05:57:17.310538', 3]\n",
"['2018-11-22 05:57:20.195659', 4]\n",
"['2018-11-22 05:59:01.015544', 5]\n",
"['2018-11-22 06:01:20.153108', 4]\n",
"['2018-11-22 06:01:56.228755', 5]\n",
"['2018-11-22 06:02:00.614523', 6]\n",
"['2018-11-22 06:03:01.919837', 5]\n",
"['2018-11-22 06:03:09.130654', 6]\n",
"['2018-11-22 06:04:00.648205', 7]\n",
"['2018-11-22 06:05:31.341073', 8]\n",
"['2018-11-22 06:06:33.538659', 7]\n",
"['2018-11-22 06:08:03.395835', 6]\n",
"['2018-11-22 06:08:09.208339', 7]\n",
"['2018-11-22 06:08:48.255792', 6]\n",
"['2018-11-22 06:08:53.884531', 7]\n",
"['2018-11-22 06:11:18.210570', 8]\n",
"['2018-11-22 06:12:22.982068', 7]\n",
"['2018-11-22 06:13:02.794211', 6]\n",
"['2018-11-22 06:14:20.188301', 7]\n",
"['2018-11-22 06:14:36.014728', 8]\n",
"['2018-11-22 06:15:13.943570', 9]\n",
"['2018-11-22 06:15:18.491987', 8]\n",
"['2018-11-22 06:16:38.108064', 9]\n",
"['2018-11-22 06:17:49.407704', 10]\n",
"['2018-11-22 06:19:04.602977', 9]\n",
"['2018-11-22 06:19:24.359092', 8]\n",
"['2018-11-22 06:22:33.516648', 7]\n",
"['2018-11-22 06:23:14.674829', 8]\n",
"['2018-11-22 06:26:13.921884', 9]\n",
"['2018-11-22 06:27:36.757952', 8]\n",
"['2018-11-22 06:30:26.736611', 7]\n",
"['2018-11-22 06:31:00.335886', 6]\n",
"['2018-11-22 06:31:18.120100', 5]\n",
"['2018-11-22 06:47:33.949450', 2]\n",
"['2018-11-22 06:49:59.010088', 3]\n",
"['2018-11-22 06:51:39.710858', 4]\n",
"['2018-11-22 06:51:43.845620', 5]\n",
"['2018-11-22 06:54:15.279763', 4]\n",
"['2018-11-22 06:58:57.351202', 2]\n",
"['2018-11-22 06:59:37.960293', 3]\n",
"['2018-11-22 07:04:03.128448', 2]\n",
"['2018-11-22 07:04:51.770528', 3]\n",
"['2018-11-22 07:04:57.224422', 4]\n",
"['2018-11-22 07:05:02.406502', 5]\n",
"['2018-11-22 07:07:13.848749', 6]\n",
"['2018-11-22 07:07:45.360927', 7]\n",
"['2018-11-22 07:08:09.362668', 6]\n",
"['2018-11-22 07:09:09.116956', 7]\n",
"['2018-11-22 07:09:36.074241', 8]\n",
"['2018-11-22 07:11:25.056447', 7]\n",
"['2018-11-22 07:11:47.601569', 8]\n",
"['2018-11-22 07:13:29.135235', 7]\n",
"['2018-11-22 07:14:23.682347', 8]\n",
"['2018-11-22 07:15:00.687651', 7]\n",
"['2018-11-22 07:15:29.566889', 8]\n",
"['2018-11-22 07:15:36.150793', 9]\n",
"['2018-11-22 07:15:49.653352', 8]\n",
"['2018-11-22 07:16:51.978786', 9]\n",
"['2018-11-22 07:16:59.058449', 8]\n",
"['2018-11-22 07:17:30.318946', 7]\n",
"['2018-11-22 07:17:52.500664', 8]\n",
"['2018-11-22 07:19:36.415105', 7]\n",
"['2018-11-22 07:19:53.655418', 6]\n",
"['2018-11-22 07:20:14.930740', 5]\n",
"['2018-11-22 07:20:36.289670', 6]\n",
"['2018-11-22 07:22:28.465913', 7]\n",
"['2018-11-22 07:22:41.472842', 8]\n",
"['2018-11-22 07:22:48.001065', 9]\n",
"['2018-11-22 07:22:50.310019', 10]\n",
"['2018-11-22 07:22:51.492472', 11]\n",
"['2018-11-22 07:23:39.992625', 10]\n",
"['2018-11-22 07:24:32.541292', 11]\n",
"['2018-11-22 07:24:57.960234', 10]\n",
"['2018-11-22 07:25:01.878533', 11]\n",
"['2018-11-22 07:26:35.473517', 10]\n",
"['2018-11-22 07:27:08.025622', 7]\n",
"['2018-11-22 07:28:54.254474', 6]\n",
"['2018-11-22 07:29:33.385135', 5]\n",
"['2018-11-22 07:31:32.725074', 4]\n",
"['2018-11-22 07:34:08.579663', 3]\n",
"['2018-11-22 07:35:07.195398', 4]\n",
"['2018-11-22 07:37:11.825844', 3]\n",
"['2018-11-22 07:38:04.226311', 4]\n",
"['2018-11-22 07:43:26.005319', 2]\n",
"['2018-11-22 07:46:19.776044', 3]\n",
"['2018-11-22 07:51:38.241250', 2]\n",
"['2018-11-22 07:54:02.041374', 3]\n",
"['2018-11-22 07:55:28.253209', 4]\n",
"['2018-11-22 07:57:45.318927', 5]\n",
"['2018-11-22 07:58:25.689337', 6]\n",
"['2018-11-22 07:58:39.873207', 7]\n",
"['2018-11-22 07:58:57.419278', 8]\n",
"['2018-11-22 07:59:28.333418', 7]\n",
"['2018-11-22 07:59:33.631922', 8]\n",
"['2018-11-22 07:59:56.705863', 9]\n",
"['2018-11-22 08:00:25.503721', 10]\n",
"['2018-11-22 08:00:37.402659', 11]\n",
"['2018-11-22 08:00:52.374210', 10]\n",
"['2018-11-22 08:01:12.823579', 11]\n",
"['2018-11-22 08:01:29.890628', 12]\n",
"['2018-11-22 08:01:38.731648', 13]\n",
"['2018-11-22 08:04:21.534176', 12]\n",
"['2018-11-22 08:05:46.401172', 13]\n",
"['2018-11-22 08:06:06.700793', 12]\n",
"['2018-11-22 08:07:06.720930', 11]\n",
"['2018-11-22 08:07:10.717080', 12]\n",
"['2018-11-22 08:07:25.215816', 13]\n",
"['2018-11-22 08:07:52.742588', 14]\n",
"['2018-11-22 08:08:02.889077', 13]\n",
"['2018-11-22 08:08:23.169771', 14]\n",
"['2018-11-22 08:08:28.546416', 15]\n",
"['2018-11-22 08:09:02.220303', 16]\n",
"['2018-11-22 08:09:20.085487', 15]\n",
"['2018-11-22 08:09:47.871562', 14]\n",
"['2018-11-22 08:12:10.649490', 15]\n",
"['2018-11-22 08:12:18.415647', 16]\n",
"['2018-11-22 08:12:24.190079', 15]\n",
"['2018-11-22 08:12:59.152077', 16]\n",
"['2018-11-22 08:13:04.782801', 15]\n",
"['2018-11-22 08:13:15.664286', 16]\n",
"['2018-11-22 08:13:25.618877', 15]\n",
"['2018-11-22 08:13:28.025036', 16]\n",
"['2018-11-22 08:13:39.472095', 17]\n",
"['2018-11-22 08:13:45.212441', 18]\n",
"['2018-11-22 08:13:47.018444', 19]\n",
"['2018-11-22 08:13:47.615678', 20]\n",
"['2018-11-22 08:13:58.144571', 21]\n",
"['2018-11-22 08:16:22.183356', 20]\n",
"['2018-11-22 08:16:27.649819', 19]\n",
"['2018-11-22 08:16:30.993300', 20]\n",
"['2018-11-22 08:16:56.182282', 21]\n",
"['2018-11-22 08:17:51.672429', 19]\n",
"['2018-11-22 08:18:01.044288', 18]\n",
"['2018-11-22 08:18:08.114304', 19]\n",
"['2018-11-22 08:18:19.064484', 17]\n",
"['2018-11-22 08:18:23.148826', 16]\n",
"['2018-11-22 08:18:24.440749', 17]\n",
"['2018-11-22 08:18:38.993868', 18]\n",
"['2018-11-22 08:19:03.005989', 19]\n",
"['2018-11-22 08:19:21.638160', 18]\n",
"['2018-11-22 08:19:29.847270', 17]\n",
"['2018-11-22 08:19:30.760954', 18]\n",
"['2018-11-22 08:19:38.798179', 17]\n",
"['2018-11-22 08:19:53.570782', 18]\n",
"['2018-11-22 08:20:16.412355', 19]\n",
"['2018-11-22 08:20:31.907697', 18]\n",
"['2018-11-22 08:20:56.359296', 17]\n",
"['2018-11-22 08:21:09.573560', 16]\n",
"['2018-11-22 08:21:10.571850', 17]\n",
"['2018-11-22 08:21:18.971194', 18]\n",
"['2018-11-22 08:21:27.797604', 19]\n",
"['2018-11-22 08:21:33.268092', 18]\n",
"['2018-11-22 08:21:49.407778', 19]\n",
"['2018-11-22 08:22:34.995067', 17]\n",
"['2018-11-22 08:23:00.378369', 16]\n",
"['2018-11-22 08:23:13.025707', 15]\n",
"['2018-11-22 08:23:16.016078', 16]\n",
"['2018-11-22 08:24:58.261099', 17]\n",
"['2018-11-22 08:25:06.809851', 18]\n",
"['2018-11-22 08:25:17.695544', 16]\n",
"['2018-11-22 08:25:24.971470', 15]\n",
"['2018-11-22 08:25:39.821412', 14]\n",
"['2018-11-22 08:26:18.989392', 12]\n",
"['2018-11-22 08:26:28.789299', 13]\n",
"['2018-11-22 08:26:38.311609', 12]\n",
"['2018-11-22 08:26:46.307482', 13]\n",
"['2018-11-22 08:26:49.068349', 14]\n",
"['2018-11-22 08:27:13.186842', 13]\n",
"['2018-11-22 08:27:17.619462', 14]\n",
"['2018-11-22 08:28:06.812041', 13]\n",
"['2018-11-22 08:28:28.673783', 12]\n",
"['2018-11-22 08:29:06.404751', 11]\n",
"['2018-11-22 08:29:14.730298', 12]\n",
"['2018-11-22 08:29:41.775064', 11]\n",
"['2018-11-22 08:29:53.851605', 12]\n",
"['2018-11-22 08:31:34.938285', 11]\n",
"['2018-11-22 08:31:39.391920', 10]\n",
"['2018-11-22 08:32:23.079510', 9]\n",
"['2018-11-22 08:32:37.684792', 8]\n",
"['2018-11-22 08:33:21.333548', 7]\n",
"['2018-11-22 08:34:20.902954', 6]\n",
"['2018-11-22 08:36:23.146569', 5]\n",
"['2018-11-22 08:38:25.568897', 6]\n",
"['2018-11-22 08:39:54.943093', 7]\n",
"['2018-11-22 08:42:35.373055', 6]\n",
"['2018-11-22 08:44:24.432369', 5]\n",
"['2018-11-22 08:48:19.980429', 6]\n",
"['2018-11-22 08:49:31.713534', 5]\n",
"['2018-11-22 08:50:12.375880', 6]\n",
"['2018-11-22 08:52:23.804801', 5]\n",
"['2018-11-22 08:54:45.078736', 4]\n",
"['2018-11-22 08:54:50.362228', 3]\n",
"['2018-11-22 09:00:51.176292', 2]\n",
"['2018-11-22 09:02:17.324424', 3]\n",
"['2018-11-22 09:05:49.002795', 4]\n",
"['2018-11-22 09:09:19.434083', 3]\n",
"['2018-11-22 09:15:35.310834', 4]\n",
"['2018-11-22 09:16:52.342060', 3]\n",
"['2018-11-22 09:20:07.824350', 4]\n",
"['2018-11-22 09:20:22.928519', 5]\n",
"['2018-11-22 09:22:01.808474', 6]\n",
"['2018-11-22 09:24:18.157976', 5]\n",
"['2018-11-22 09:28:59.596630', 4]\n",
"['2018-11-22 09:30:35.538022', 5]\n",
"['2018-11-22 09:30:36.843544', 6]\n",
"['2018-11-22 09:30:45.535744', 7]\n",
"['2018-11-22 09:30:52.026213', 8]\n",
"['2018-11-22 09:31:28.695001', 9]\n",
"['2018-11-22 09:31:54.453357', 8]\n",
"['2018-11-22 09:32:50.684863', 9]\n",
"['2018-11-22 09:34:10.172919', 10]\n",
"['2018-11-22 09:34:13.378341', 11]\n",
"['2018-11-22 09:34:18.980826', 12]\n",
"['2018-11-22 09:34:27.675210', 13]\n",
"['2018-11-22 09:34:37.941474', 12]\n",
"['2018-11-22 09:34:39.941125', 10]\n",
"['2018-11-22 09:34:52.467380', 11]\n",
"['2018-11-22 09:34:58.447331', 12]\n",
"['2018-11-22 09:35:00.257497', 13]\n",
"['2018-11-22 09:35:01.062971', 14]\n",
"['2018-11-22 09:35:06.665959', 15]\n",
"['2018-11-22 09:36:52.707953', 14]\n",
"['2018-11-22 09:38:10.736902', 13]\n",
"['2018-11-22 09:39:07.579838', 12]\n",
"['2018-11-22 09:39:54.283197', 11]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-22 09:40:03.864650', 9]\n",
"['2018-11-22 09:40:21.306576', 7]\n",
"['2018-11-22 09:40:29.560863', 8]\n",
"['2018-11-22 09:40:35.722308', 9]\n",
"['2018-11-22 09:40:39.114360', 8]\n",
"['2018-11-22 09:40:54.112970', 7]\n",
"['2018-11-22 09:41:37.396429', 8]\n",
"['2018-11-22 09:41:52.818965', 9]\n",
"['2018-11-22 09:42:59.541612', 8]\n",
"['2018-11-22 09:44:52.294839', 7]\n",
"['2018-11-22 09:45:09.733535', 5]\n",
"['2018-11-22 09:45:46.004824', 4]\n",
"['2018-11-22 09:47:27.973044', 3]\n",
"['2018-11-22 09:53:16.893209', 2]\n",
"['2018-11-22 10:01:51.185914', 3]\n",
"['2018-11-22 10:05:20.458090', 4]\n",
"['2018-11-22 10:06:38.095409', 5]\n",
"['2018-11-22 10:08:47.501227', 6]\n",
"['2018-11-22 10:09:23.521820', 5]\n",
"['2018-11-22 10:10:10.057720', 6]\n",
"['2018-11-22 10:10:21.303743', 7]\n",
"['2018-11-22 10:11:09.617147', 8]\n",
"['2018-11-22 10:11:09.878132', 9]\n",
"['2018-11-22 10:11:12.612951', 10]\n",
"['2018-11-22 10:11:19.109172', 11]\n",
"['2018-11-22 10:11:19.527545', 12]\n",
"['2018-11-22 10:11:39.626172', 13]\n",
"['2018-11-22 10:11:47.713316', 14]\n",
"['2018-11-22 10:11:59.734987', 15]\n",
"['2018-11-22 10:12:39.782212', 16]\n",
"['2018-11-22 10:13:00.221903', 17]\n",
"['2018-11-22 10:13:06.326507', 18]\n",
"['2018-11-22 10:14:19.314312', 17]\n",
"['2018-11-22 10:14:23.549821', 16]\n",
"['2018-11-22 10:14:37.315700', 17]\n",
"['2018-11-22 10:15:17.347018', 16]\n",
"['2018-11-22 10:15:22.306286', 17]\n",
"['2018-11-22 10:15:36.789245', 16]\n",
"['2018-11-22 10:16:00.210966', 14]\n",
"['2018-11-22 10:17:19.641683', 13]\n",
"['2018-11-22 10:18:01.093390', 14]\n",
"['2018-11-22 10:18:51.469683', 13]\n",
"['2018-11-22 10:18:55.379549', 12]\n",
"['2018-11-22 10:19:04.034273', 13]\n",
"['2018-11-22 10:19:06.476317', 12]\n",
"['2018-11-22 10:19:06.863104', 13]\n",
"['2018-11-22 10:19:20.705036', 12]\n",
"['2018-11-22 10:19:23.558719', 11]\n",
"['2018-11-22 10:19:44.711071', 10]\n",
"['2018-11-22 10:19:45.941089', 11]\n",
"['2018-11-22 10:20:00.977963', 10]\n",
"['2018-11-22 10:20:15.977130', 9]\n",
"['2018-11-22 10:20:38.253803', 10]\n",
"['2018-11-22 10:21:10.169760', 11]\n",
"['2018-11-22 10:21:11.432946', 12]\n",
"['2018-11-22 10:22:59.177804', 11]\n",
"['2018-11-22 10:23:01.423141', 12]\n",
"['2018-11-22 10:23:05.398146', 11]\n",
"['2018-11-22 10:23:26.698511', 12]\n",
"['2018-11-22 10:23:40.802806', 11]\n",
"['2018-11-22 10:23:55.404974', 12]\n",
"['2018-11-22 10:24:42.580612', 13]\n",
"['2018-11-22 10:24:51.687895', 14]\n",
"['2018-11-22 10:24:59.107745', 15]\n",
"['2018-11-22 10:25:11.290558', 14]\n",
"['2018-11-22 10:26:18.944246', 13]\n",
"['2018-11-22 10:26:48.995013', 12]\n",
"['2018-11-22 10:27:30.085839', 11]\n",
"['2018-11-22 10:27:56.231678', 10]\n",
"['2018-11-22 10:28:21.309090', 11]\n",
"['2018-11-22 10:28:28.357370', 12]\n",
"['2018-11-22 10:28:43.874715', 13]\n",
"['2018-11-22 10:28:46.608394', 14]\n",
"['2018-11-22 10:29:26.308408', 15]\n",
"['2018-11-22 10:29:54.941423', 16]\n",
"['2018-11-22 10:29:58.961958', 15]\n",
"['2018-11-22 10:30:31.403405', 16]\n",
"['2018-11-22 10:31:35.076309', 15]\n",
"['2018-11-22 10:32:20.433366', 14]\n",
"['2018-11-22 10:32:59.476197', 13]\n",
"['2018-11-22 10:33:16.649642', 14]\n",
"['2018-11-22 10:33:27.719269', 13]\n",
"['2018-11-22 10:33:29.711667', 12]\n",
"['2018-11-22 10:34:43.436570', 11]\n",
"['2018-11-22 10:35:39.885732', 10]\n",
"['2018-11-22 10:37:19.193654', 9]\n",
"['2018-11-22 10:37:24.868555', 8]\n",
"['2018-11-22 10:38:29.064690', 7]\n",
"['2018-11-22 10:38:49.250643', 8]\n",
"['2018-11-22 10:39:04.718905', 7]\n",
"['2018-11-22 10:39:24.627713', 8]\n",
"['2018-11-22 10:40:21.822124', 7]\n",
"['2018-11-22 10:40:35.056015', 8]\n",
"['2018-11-22 10:40:37.364328', 9]\n",
"['2018-11-22 10:40:59.376572', 10]\n",
"['2018-11-22 10:45:14.490811', 8]\n",
"['2018-11-22 10:45:24.707648', 7]\n",
"['2018-11-22 10:48:10.922849', 8]\n",
"['2018-11-22 10:48:53.965784', 9]\n",
"['2018-11-22 10:48:56.628398', 10]\n",
"['2018-11-22 10:49:29.202094', 9]\n",
"['2018-11-22 10:49:50.376350', 10]\n",
"['2018-11-22 10:51:21.200522', 11]\n",
"['2018-11-22 10:51:32.464311', 12]\n",
"['2018-11-22 10:52:47.288603', 10]\n",
"['2018-11-22 10:55:24.953235', 5]\n",
"['2018-11-22 10:55:31.741935', 4]\n",
"['2018-11-22 10:55:32.991477', 3]\n",
"['2018-11-22 10:59:48.929688', 4]\n",
"['2018-11-22 10:59:58.784982', 5]\n",
"['2018-11-22 11:00:01.927428', 6]\n",
"['2018-11-22 11:00:07.250843', 7]\n",
"['2018-11-22 11:00:12.126081', 8]\n",
"['2018-11-22 11:00:31.087568', 7]\n",
"['2018-11-22 11:01:11.747216', 8]\n",
"['2018-11-22 11:01:26.702138', 7]\n",
"['2018-11-22 11:01:55.041278', 8]\n",
"['2018-11-22 11:04:05.152703', 7]\n",
"['2018-11-22 11:04:08.050118', 6]\n",
"['2018-11-22 11:04:19.274808', 7]\n",
"['2018-11-22 11:04:45.192911', 6]\n",
"['2018-11-22 11:08:23.055507', 5]\n",
"['2018-11-22 11:11:26.784241', 6]\n",
"['2018-11-22 11:12:46.319651', 5]\n",
"['2018-11-22 11:13:42.605908', 6]\n",
"['2018-11-22 11:13:43.998090', 7]\n",
"['2018-11-22 11:15:59.496820', 8]\n",
"['2018-11-22 11:17:52.955921', 7]\n",
"['2018-11-22 11:17:58.775143', 8]\n",
"['2018-11-22 11:18:17.704604', 9]\n",
"['2018-11-22 11:19:24.716839', 10]\n",
"['2018-11-22 11:19:54.186200', 9]\n",
"['2018-11-22 11:19:59.435775', 8]\n",
"['2018-11-22 11:20:02.365596', 7]\n",
"['2018-11-22 11:20:10.696884', 8]\n",
"['2018-11-22 11:20:59.502697', 9]\n",
"['2018-11-22 11:22:43.486580', 10]\n",
"['2018-11-22 11:24:27.925105', 9]\n",
"['2018-11-22 11:24:46.892380', 10]\n",
"['2018-11-22 11:25:40.238471', 11]\n",
"['2018-11-22 11:26:33.807955', 10]\n",
"['2018-11-22 11:26:39.417281', 11]\n",
"['2018-11-22 11:26:45.266276', 10]\n",
"['2018-11-22 11:28:11.808053', 11]\n",
"['2018-11-22 11:28:15.259540', 12]\n",
"['2018-11-22 11:28:19.334563', 13]\n",
"['2018-11-22 11:28:44.224135', 14]\n",
"['2018-11-22 11:28:56.919682', 13]\n",
"['2018-11-22 11:29:11.833069', 12]\n",
"['2018-11-22 11:29:41.870146', 11]\n",
"['2018-11-22 11:30:14.211112', 12]\n",
"['2018-11-22 11:31:01.454948', 11]\n",
"['2018-11-22 11:31:10.603008', 12]\n",
"['2018-11-22 11:31:20.757392', 13]\n",
"['2018-11-22 11:31:25.420672', 14]\n",
"['2018-11-22 11:31:54.483204', 13]\n",
"['2018-11-22 11:32:41.606153', 12]\n",
"['2018-11-22 11:33:17.277755', 13]\n",
"['2018-11-22 11:33:42.021579', 12]\n",
"['2018-11-22 11:33:45.361906', 13]\n",
"['2018-11-22 11:33:52.496310', 14]\n",
"['2018-11-22 11:34:10.131282', 15]\n",
"['2018-11-22 11:34:26.162747', 14]\n",
"['2018-11-22 11:34:51.484945', 15]\n",
"['2018-11-22 11:35:45.274638', 14]\n",
"['2018-11-22 11:35:57.977402', 15]\n",
"['2018-11-22 11:36:39.050378', 14]\n",
"['2018-11-22 11:36:50.384329', 13]\n",
"['2018-11-22 11:37:41.407316', 12]\n",
"['2018-11-22 11:37:46.054982', 11]\n",
"['2018-11-22 11:37:59.098593', 10]\n",
"['2018-11-22 11:38:08.763770', 9]\n",
"['2018-11-22 11:38:09.806302', 10]\n",
"['2018-11-22 11:38:29.003316', 11]\n",
"['2018-11-22 11:38:54.810114', 10]\n",
"['2018-11-22 11:40:30.166129', 9]\n",
"['2018-11-22 11:40:47.676132', 10]\n",
"['2018-11-22 11:40:49.195080', 11]\n",
"['2018-11-22 11:42:54.239934', 10]\n",
"['2018-11-22 11:43:04.896945', 8]\n",
"['2018-11-22 11:43:18.041207', 7]\n",
"['2018-11-22 11:43:41.416088', 6]\n",
"['2018-11-22 11:44:37.664187', 5]\n",
"['2018-11-22 11:45:52.294827', 3]\n",
"['2018-11-22 12:02:55.841083', 2]\n",
"['2018-11-22 12:03:48.889970', 3]\n",
"['2018-11-22 12:03:52.230564', 4]\n",
"['2018-11-22 12:03:55.126315', 5]\n",
"['2018-11-22 12:07:55.380366', 4]\n",
"['2018-11-22 12:13:05.820285', 5]\n",
"['2018-11-22 12:13:45.276173', 6]\n",
"['2018-11-22 12:13:47.773980', 7]\n",
"['2018-11-22 12:13:48.394441', 8]\n",
"['2018-11-22 12:13:50.720776', 9]\n",
"['2018-11-22 12:14:01.291714', 10]\n",
"['2018-11-22 12:14:09.690983', 11]\n",
"['2018-11-22 12:14:55.026292', 12]\n",
"['2018-11-22 12:15:05.185178', 13]\n",
"['2018-11-22 12:15:19.533114', 14]\n",
"['2018-11-22 12:15:51.234410', 15]\n",
"['2018-11-22 12:16:31.462309', 16]\n",
"['2018-11-22 12:16:54.013070', 17]\n",
"['2018-11-22 12:17:11.276388', 16]\n",
"['2018-11-22 12:17:30.243443', 15]\n",
"['2018-11-22 12:17:49.860438', 14]\n",
"['2018-11-22 12:19:16.784068', 15]\n",
"['2018-11-22 12:19:16.953822', 16]\n",
"['2018-11-22 12:19:19.666192', 15]\n",
"['2018-11-22 12:19:22.198398', 14]\n",
"['2018-11-22 12:19:24.733958', 15]\n",
"['2018-11-22 12:19:29.338791', 16]\n",
"['2018-11-22 12:19:30.421829', 17]\n",
"['2018-11-22 12:19:45.388164', 16]\n",
"['2018-11-22 12:19:58.754111', 15]\n",
"['2018-11-22 12:20:29.779752', 14]\n",
"['2018-11-22 12:20:40.418690', 13]\n",
"['2018-11-22 12:20:52.428080', 12]\n",
"['2018-11-22 12:21:22.600102', 11]\n",
"['2018-11-22 12:21:28.286750', 12]\n",
"['2018-11-22 12:21:33.617560', 13]\n",
"['2018-11-22 12:21:53.243978', 14]\n",
"['2018-11-22 12:21:56.790676', 15]\n",
"['2018-11-22 12:22:31.880580', 14]\n",
"['2018-11-22 12:23:12.626491', 13]\n",
"['2018-11-22 12:23:13.772140', 14]\n",
"['2018-11-22 12:23:29.675188', 13]\n",
"['2018-11-22 12:24:06.663177', 11]\n",
"['2018-11-22 12:24:25.586768', 9]\n",
"['2018-11-22 12:25:01.421586', 10]\n",
"['2018-11-22 12:25:27.881500', 11]\n",
"['2018-11-22 12:26:15.039841', 12]\n",
"['2018-11-22 12:26:24.985389', 13]\n",
"['2018-11-22 12:26:30.558684', 14]\n",
"['2018-11-22 12:26:45.370224', 13]\n",
"['2018-11-22 12:27:06.134838', 10]\n",
"['2018-11-22 12:27:40.198341', 9]\n",
"['2018-11-22 12:28:29.161282', 10]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-22 12:29:01.650901', 9]\n",
"['2018-11-22 12:29:30.539214', 10]\n",
"['2018-11-22 12:29:56.780413', 11]\n",
"['2018-11-22 12:30:26.809917', 10]\n",
"['2018-11-22 12:30:39.144029', 9]\n",
"['2018-11-22 12:30:56.830152', 8]\n",
"['2018-11-22 12:31:13.671920', 9]\n",
"['2018-11-22 12:31:29.672319', 10]\n",
"['2018-11-22 12:33:53.101719', 6]\n",
"['2018-11-22 12:34:35.064803', 5]\n",
"['2018-11-22 12:35:20.826725', 3]\n",
"['2018-11-22 12:38:20.608032', 4]\n",
"['2018-11-22 12:39:35.678322', 3]\n",
"['2018-11-22 12:50:39.001100', 4]\n",
"['2018-11-22 12:53:10.440780', 5]\n",
"['2018-11-22 12:54:40.433163', 4]\n",
"['2018-11-22 12:55:24.444039', 3]\n",
"['2018-11-22 12:57:31.840552', 4]\n",
"['2018-11-22 12:59:09.717229', 5]\n",
"['2018-11-22 12:59:28.287572', 6]\n",
"['2018-11-22 12:59:39.042380', 7]\n",
"['2018-11-22 13:00:22.669114', 8]\n",
"['2018-11-22 13:00:39.697342', 9]\n",
"['2018-11-22 13:01:38.632356', 10]\n",
"['2018-11-22 13:02:33.860006', 9]\n",
"['2018-11-22 13:02:40.816694', 8]\n",
"['2018-11-22 13:03:20.672346', 7]\n",
"['2018-11-22 13:04:54.445560', 6]\n",
"['2018-11-22 13:06:25.628804', 7]\n",
"['2018-11-22 13:07:07.080850', 8]\n",
"['2018-11-22 13:07:16.346897', 7]\n",
"['2018-11-22 13:08:20.695761', 8]\n",
"['2018-11-22 13:09:37.564820', 9]\n",
"['2018-11-22 13:12:33.366382', 10]\n",
"['2018-11-22 13:14:13.343371', 11]\n",
"['2018-11-22 13:14:39.280169', 12]\n",
"['2018-11-22 13:16:34.563910', 11]\n",
"['2018-11-22 13:18:01.603788', 12]\n",
"['2018-11-22 13:18:40.612429', 13]\n",
"['2018-11-22 13:18:48.737596', 12]\n",
"['2018-11-22 13:19:05.631232', 13]\n",
"['2018-11-22 13:19:10.499628', 14]\n",
"['2018-11-22 13:19:20.659095', 13]\n",
"['2018-11-22 13:19:28.452657', 12]\n",
"['2018-11-22 13:20:58.039963', 13]\n",
"['2018-11-22 13:21:37.981849', 12]\n",
"['2018-11-22 13:22:11.881820', 13]\n",
"['2018-11-22 13:22:12.592279', 14]\n",
"['2018-11-22 13:22:39.500669', 15]\n",
"['2018-11-22 13:23:10.980031', 13]\n",
"['2018-11-22 13:23:11.198417', 14]\n",
"['2018-11-22 13:23:20.686626', 15]\n",
"['2018-11-22 13:23:24.046906', 16]\n",
"['2018-11-22 13:23:29.776052', 15]\n",
"['2018-11-22 13:23:31.866638', 16]\n",
"['2018-11-22 13:23:44.851889', 15]\n",
"['2018-11-22 13:24:12.253463', 14]\n",
"['2018-11-22 13:24:15.747296', 15]\n",
"['2018-11-22 13:25:14.249885', 14]\n",
"['2018-11-22 13:26:08.950607', 15]\n",
"['2018-11-22 13:26:32.282428', 16]\n",
"['2018-11-22 13:27:04.384417', 15]\n",
"['2018-11-22 13:27:30.539068', 14]\n",
"['2018-11-22 13:27:41.153730', 13]\n",
"['2018-11-22 13:29:36.173674', 14]\n",
"['2018-11-22 13:30:06.047292', 13]\n",
"['2018-11-22 13:30:16.319573', 14]\n",
"['2018-11-22 13:30:39.130208', 13]\n",
"['2018-11-22 13:30:52.073310', 14]\n",
"['2018-11-22 13:30:58.457943', 13]\n",
"['2018-11-22 13:30:59.872162', 14]\n",
"['2018-11-22 13:31:30.580673', 13]\n",
"['2018-11-22 13:31:44.855444', 12]\n",
"['2018-11-22 13:31:46.907059', 11]\n",
"['2018-11-22 13:32:14.255063', 12]\n",
"['2018-11-22 13:32:15.353790', 13]\n",
"['2018-11-22 13:32:33.847139', 14]\n",
"['2018-11-22 13:32:43.313070', 15]\n",
"['2018-11-22 13:32:56.891590', 16]\n",
"['2018-11-22 13:32:58.176967', 17]\n",
"['2018-11-22 13:33:09.564321', 16]\n",
"['2018-11-22 13:33:24.489085', 17]\n",
"['2018-11-22 13:33:39.232892', 16]\n",
"['2018-11-22 13:34:32.636745', 15]\n",
"['2018-11-22 13:35:04.929228', 14]\n",
"['2018-11-22 13:36:02.194032', 13]\n",
"['2018-11-22 13:36:50.698680', 12]\n",
"['2018-11-22 13:37:10.096914', 13]\n",
"['2018-11-22 13:37:17.208762', 14]\n",
"['2018-11-22 13:37:48.834753', 11]\n",
"['2018-11-22 13:37:52.089194', 12]\n",
"['2018-11-22 13:38:00.745312', 13]\n",
"['2018-11-22 13:38:40.208733', 11]\n",
"['2018-11-22 13:38:52.742944', 12]\n",
"['2018-11-22 13:39:07.416911', 11]\n",
"['2018-11-22 13:41:05.458910', 12]\n",
"['2018-11-22 13:41:51.760298', 13]\n",
"['2018-11-22 13:42:02.522220', 12]\n",
"['2018-11-22 13:42:06.994406', 11]\n",
"['2018-11-22 13:43:59.308951', 10]\n",
"['2018-11-22 13:44:57.614882', 11]\n",
"['2018-11-22 13:45:33.549244', 10]\n",
"['2018-11-22 13:46:02.528295', 9]\n",
"['2018-11-22 13:47:24.891172', 8]\n",
"['2018-11-22 13:49:10.895439', 7]\n",
"['2018-11-22 13:52:04.646165', 5]\n",
"['2018-11-22 13:54:49.502981', 4]\n",
"['2018-11-22 14:00:18.755163', 3]\n",
"['2018-11-22 14:04:38.242652', 2]\n",
"['2018-11-22 14:05:22.667893', 3]\n",
"['2018-11-22 14:05:41.986141', 4]\n",
"['2018-11-22 14:06:16.676750', 5]\n",
"['2018-11-22 14:06:18.779131', 6]\n",
"['2018-11-22 14:06:38.714728', 7]\n",
"['2018-11-22 14:06:41.447868', 8]\n",
"['2018-11-22 14:07:34.653731', 9]\n",
"['2018-11-22 14:10:07.237398', 8]\n",
"['2018-11-22 14:10:55.308129', 6]\n",
"['2018-11-22 14:10:58.533691', 7]\n",
"['2018-11-22 14:11:04.085020', 8]\n",
"['2018-11-22 14:11:08.806838', 9]\n",
"['2018-11-22 14:11:10.860992', 10]\n",
"['2018-11-22 14:11:11.200503', 11]\n",
"['2018-11-22 14:11:15.280206', 12]\n",
"['2018-11-22 14:11:16.758585', 13]\n",
"['2018-11-22 14:11:19.778569', 14]\n",
"['2018-11-22 14:11:25.756946', 15]\n",
"['2018-11-22 14:11:36.141892', 16]\n",
"['2018-11-22 14:11:37.887852', 17]\n",
"['2018-11-22 14:11:38.343037', 18]\n",
"['2018-11-22 14:11:39.735905', 19]\n",
"['2018-11-22 14:11:47.828209', 20]\n",
"['2018-11-22 14:11:55.018222', 21]\n",
"['2018-11-22 14:12:00.869630', 22]\n",
"['2018-11-22 14:12:05.543976', 23]\n",
"['2018-11-22 14:12:05.991282', 24]\n",
"['2018-11-22 14:12:10.708061', 25]\n",
"['2018-11-22 14:12:17.234780', 26]\n",
"['2018-11-22 14:12:41.321535', 27]\n",
"['2018-11-22 14:13:11.791647', 28]\n",
"['2018-11-22 14:13:31.622031', 29]\n",
"['2018-11-22 14:13:37.318582', 30]\n",
"['2018-11-22 14:14:07.786816', 31]\n",
"['2018-11-22 14:14:27.690556', 30]\n",
"['2018-11-22 14:14:50.586703', 31]\n",
"['2018-11-22 14:14:52.046744', 32]\n",
"['2018-11-22 14:14:53.123306', 33]\n",
"['2018-11-22 14:15:05.326318', 32]\n",
"['2018-11-22 14:15:19.467000', 31]\n",
"['2018-11-22 14:15:24.798779', 30]\n",
"['2018-11-22 14:15:26.642655', 31]\n",
"['2018-11-22 14:15:33.199416', 32]\n",
"['2018-11-22 14:15:33.221361', 33]\n",
"['2018-11-22 14:15:36.872112', 31]\n",
"['2018-11-22 14:15:40.425803', 32]\n",
"['2018-11-22 14:16:01.606288', 31]\n",
"['2018-11-22 14:16:36.225867', 32]\n",
"['2018-11-22 14:17:14.621017', 31]\n",
"['2018-11-22 14:17:14.789164', 32]\n",
"['2018-11-22 14:18:23.245358', 28]\n",
"['2018-11-22 14:18:32.424757', 27]\n",
"['2018-11-22 14:19:07.690574', 26]\n",
"['2018-11-22 14:19:19.401400', 27]\n",
"['2018-11-22 14:19:20.926113', 26]\n",
"['2018-11-22 14:19:34.987851', 25]\n",
"['2018-11-22 14:19:39.249025', 24]\n",
"['2018-11-22 14:19:50.979401', 23]\n",
"['2018-11-22 14:19:53.092936', 24]\n",
"['2018-11-22 14:19:56.816915', 23]\n",
"['2018-11-22 14:20:02.664103', 21]\n",
"['2018-11-22 14:20:05.636381', 22]\n",
"['2018-11-22 14:20:05.776684', 23]\n",
"['2018-11-22 14:20:09.696663', 22]\n",
"['2018-11-22 14:20:18.907801', 21]\n",
"['2018-11-22 14:20:21.966179', 20]\n",
"['2018-11-22 14:20:23.000734', 21]\n",
"['2018-11-22 14:20:27.232361', 22]\n",
"['2018-11-22 14:20:28.066518', 20]\n",
"['2018-11-22 14:20:37.426212', 19]\n",
"['2018-11-22 14:20:49.163736', 18]\n",
"['2018-11-22 14:21:06.040834', 19]\n",
"['2018-11-22 14:21:18.434248', 18]\n",
"['2018-11-22 14:21:24.243249', 17]\n",
"['2018-11-22 14:21:28.770151', 18]\n",
"['2018-11-22 14:22:01.127764', 19]\n",
"['2018-11-22 14:22:43.737324', 18]\n",
"['2018-11-22 14:22:49.567328', 17]\n",
"['2018-11-22 14:23:05.677685', 16]\n",
"['2018-11-22 14:23:09.262483', 17]\n",
"['2018-11-22 14:23:24.033322', 16]\n",
"['2018-11-22 14:23:41.843843', 17]\n",
"['2018-11-22 14:23:57.377072', 16]\n",
"['2018-11-22 14:24:13.398790', 15]\n",
"['2018-11-22 14:24:33.117816', 16]\n",
"['2018-11-22 14:24:47.845947', 17]\n",
"['2018-11-22 14:25:06.669196', 16]\n",
"['2018-11-22 14:25:31.612366', 13]\n",
"['2018-11-22 14:25:38.646508', 14]\n",
"['2018-11-22 14:26:21.632864', 13]\n",
"['2018-11-22 14:27:10.311664', 12]\n",
"['2018-11-22 14:28:27.654765', 13]\n",
"['2018-11-22 14:28:51.070040', 12]\n",
"['2018-11-22 14:29:40.944912', 13]\n",
"['2018-11-22 14:29:46.612275', 14]\n",
"['2018-11-22 14:29:58.647577', 15]\n",
"['2018-11-22 14:30:06.958070', 16]\n",
"['2018-11-22 14:31:21.375254', 15]\n",
"['2018-11-22 14:32:14.349855', 16]\n",
"['2018-11-22 14:32:40.912187', 15]\n",
"['2018-11-22 14:34:03.635026', 14]\n",
"['2018-11-22 14:34:14.851122', 13]\n",
"['2018-11-22 14:34:25.938826', 14]\n",
"['2018-11-22 14:34:27.772540', 13]\n",
"['2018-11-22 14:35:05.931244', 12]\n",
"['2018-11-22 14:35:25.335880', 13]\n",
"['2018-11-22 14:35:40.502939', 14]\n",
"['2018-11-22 14:35:43.682890', 15]\n",
"['2018-11-22 14:36:12.906911', 16]\n",
"['2018-11-22 14:37:31.564426', 15]\n",
"['2018-11-22 14:37:45.636770', 14]\n",
"['2018-11-22 14:38:06.214079', 15]\n",
"['2018-11-22 14:38:13.751233', 16]\n",
"['2018-11-22 14:38:34.784597', 14]\n",
"['2018-11-22 14:38:41.210413', 15]\n",
"['2018-11-22 14:39:18.403401', 16]\n",
"['2018-11-22 14:41:10.616049', 17]\n",
"['2018-11-22 14:41:29.209931', 16]\n",
"['2018-11-22 14:42:04.711010', 17]\n",
"['2018-11-22 14:43:08.519702', 16]\n",
"['2018-11-22 14:44:11.192206', 17]\n",
"['2018-11-22 14:44:25.733902', 16]\n",
"['2018-11-22 14:44:58.329149', 17]\n",
"['2018-11-22 14:45:01.069409', 16]\n",
"['2018-11-22 14:45:17.757557', 13]\n",
"['2018-11-22 14:45:25.243029', 12]\n",
"['2018-11-22 14:45:42.831721', 11]\n",
"['2018-11-22 14:46:21.767782', 10]\n",
"['2018-11-22 14:47:11.550605', 9]\n",
"['2018-11-22 14:47:40.578517', 10]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-22 14:48:40.818351', 7]\n",
"['2018-11-22 14:51:40.665381', 5]\n",
"['2018-11-22 14:53:47.044001', 4]\n",
"['2018-11-22 14:54:19.351517', 5]\n",
"['2018-11-22 14:55:46.650931', 6]\n",
"['2018-11-22 14:57:59.709557', 5]\n",
"['2018-11-22 14:58:17.553574', 6]\n",
"['2018-11-22 14:59:30.675920', 7]\n",
"['2018-11-22 15:00:59.635835', 8]\n",
"['2018-11-22 15:01:48.568852', 9]\n",
"['2018-11-22 15:01:51.944651', 10]\n",
"['2018-11-22 15:01:59.992550', 11]\n",
"['2018-11-22 15:02:12.031364', 12]\n",
"['2018-11-22 15:02:40.176867', 11]\n",
"['2018-11-22 15:03:03.044385', 12]\n",
"['2018-11-22 15:03:13.950610', 13]\n",
"['2018-11-22 15:03:24.858574', 12]\n",
"['2018-11-22 15:03:28.341038', 11]\n",
"['2018-11-22 15:03:32.651150', 12]\n",
"['2018-11-22 15:03:42.472157', 11]\n",
"['2018-11-22 15:04:19.796257', 12]\n",
"['2018-11-22 15:05:39.239826', 11]\n",
"['2018-11-22 15:06:47.490452', 10]\n",
"['2018-11-22 15:07:08.096842', 7]\n",
"['2018-11-22 15:08:13.813695', 6]\n",
"['2018-11-22 15:09:16.448024', 5]\n",
"['2018-11-22 15:09:50.615082', 6]\n",
"['2018-11-22 15:10:00.856763', 7]\n",
"['2018-11-22 15:10:22.648588', 6]\n",
"['2018-11-22 15:11:05.901526', 7]\n",
"['2018-11-22 15:11:26.799393', 8]\n",
"['2018-11-22 15:12:13.192811', 9]\n",
"['2018-11-22 15:14:35.988209', 10]\n",
"['2018-11-22 15:14:37.705342', 11]\n",
"['2018-11-22 15:15:10.863782', 12]\n",
"['2018-11-22 15:15:31.617338', 11]\n",
"['2018-11-22 15:16:13.777530', 10]\n",
"['2018-11-22 15:16:29.161111', 11]\n",
"['2018-11-22 15:16:48.906327', 10]\n",
"['2018-11-22 15:17:11.314229', 11]\n",
"['2018-11-22 15:17:39.338407', 12]\n",
"['2018-11-22 15:18:52.421771', 13]\n",
"['2018-11-22 15:18:57.097519', 14]\n",
"['2018-11-22 15:19:27.032263', 13]\n",
"['2018-11-22 15:20:39.938585', 11]\n",
"['2018-11-22 15:21:27.053063', 10]\n",
"['2018-11-22 15:22:09.782145', 11]\n",
"['2018-11-22 15:22:17.153328', 10]\n",
"['2018-11-22 15:22:49.788522', 11]\n",
"['2018-11-22 15:23:34.166825', 12]\n",
"['2018-11-22 15:24:02.595701', 11]\n",
"['2018-11-22 15:24:14.916942', 12]\n",
"['2018-11-22 15:24:27.833087', 11]\n",
"['2018-11-22 15:24:30.194571', 10]\n",
"['2018-11-22 15:25:36.231132', 11]\n",
"['2018-11-22 15:25:51.691400', 10]\n",
"['2018-11-22 15:26:14.761098', 11]\n",
"['2018-11-22 15:26:45.325196', 12]\n",
"['2018-11-22 15:27:07.852867', 13]\n",
"['2018-11-22 15:27:28.867607', 14]\n",
"['2018-11-22 15:27:45.736587', 15]\n",
"['2018-11-22 15:28:31.759763', 14]\n",
"['2018-11-22 15:28:45.425502', 13]\n",
"['2018-11-22 15:28:47.914968', 14]\n",
"['2018-11-22 15:28:51.894057', 15]\n",
"['2018-11-22 15:29:44.671225', 16]\n",
"['2018-11-22 15:30:09.675458', 15]\n",
"['2018-11-22 15:30:15.204101', 14]\n",
"['2018-11-22 15:30:22.236236', 15]\n",
"['2018-11-22 15:30:43.710377', 16]\n",
"['2018-11-22 15:31:09.832921', 15]\n",
"['2018-11-22 15:31:18.373459', 16]\n",
"['2018-11-22 15:31:26.646010', 17]\n",
"['2018-11-22 15:31:36.839093', 16]\n",
"['2018-11-22 15:32:00.773425', 17]\n",
"['2018-11-22 15:32:01.630397', 18]\n",
"['2018-11-22 15:32:04.146219', 19]\n",
"['2018-11-22 15:32:39.748042', 20]\n",
"['2018-11-22 15:32:44.529412', 21]\n",
"['2018-11-22 15:32:48.537028', 20]\n",
"['2018-11-22 15:34:01.973385', 19]\n",
"['2018-11-22 15:34:10.015033', 18]\n",
"['2018-11-22 15:34:32.797669', 19]\n",
"['2018-11-22 15:34:33.853630', 18]\n",
"['2018-11-22 15:34:38.411317', 19]\n",
"['2018-11-22 15:34:43.865881', 18]\n",
"['2018-11-22 15:34:53.884399', 17]\n",
"['2018-11-22 15:35:18.419527', 16]\n",
"['2018-11-22 15:35:29.226717', 15]\n",
"['2018-11-22 15:36:03.736439', 16]\n",
"['2018-11-22 15:36:05.816015', 17]\n",
"['2018-11-22 15:36:09.256806', 16]\n",
"['2018-11-22 15:36:20.847437', 15]\n",
"['2018-11-22 15:36:40.923514', 14]\n",
"['2018-11-22 15:36:49.286881', 13]\n",
"['2018-11-22 15:37:48.539668', 14]\n",
"['2018-11-22 15:37:50.782708', 15]\n",
"['2018-11-22 15:38:02.259781', 14]\n",
"['2018-11-22 15:38:35.879693', 13]\n",
"['2018-11-22 15:38:39.397219', 12]\n",
"['2018-11-22 15:39:05.950918', 11]\n",
"['2018-11-22 15:40:04.773753', 10]\n",
"['2018-11-22 15:40:12.604237', 11]\n",
"['2018-11-22 15:40:18.350857', 10]\n",
"['2018-11-22 15:41:52.386194', 9]\n",
"['2018-11-22 15:42:05.594342', 8]\n",
"['2018-11-22 15:42:25.853629', 7]\n",
"['2018-11-22 15:43:51.001815', 8]\n",
"['2018-11-22 15:46:09.828059', 7]\n",
"['2018-11-22 15:47:59.928284', 6]\n",
"['2018-11-22 15:56:01.987762', 2]\n",
"['2018-11-22 16:00:49.279855', 3]\n",
"['2018-11-22 16:01:17.578007', 4]\n",
"['2018-11-22 16:01:41.276749', 5]\n",
"['2018-11-22 16:02:24.627886', 4]\n",
"['2018-11-22 16:03:47.146946', 5]\n",
"['2018-11-22 16:05:02.621390', 6]\n",
"['2018-11-22 16:05:25.953219', 5]\n",
"['2018-11-22 16:08:43.829884', 6]\n",
"['2018-11-22 16:10:40.910455', 7]\n",
"['2018-11-22 16:11:24.634191', 8]\n",
"['2018-11-22 16:13:18.427746', 9]\n",
"['2018-11-22 16:14:37.872071', 10]\n",
"['2018-11-22 16:14:43.245487', 11]\n",
"['2018-11-22 16:15:00.782610', 12]\n",
"['2018-11-22 16:15:01.492962', 13]\n",
"['2018-11-22 16:15:05.626011', 14]\n",
"['2018-11-22 16:15:22.842088', 15]\n",
"['2018-11-22 16:15:35.491317', 14]\n",
"['2018-11-22 16:15:47.879352', 15]\n",
"['2018-11-22 16:16:02.408194', 16]\n",
"['2018-11-22 16:16:11.349314', 17]\n",
"['2018-11-22 16:16:21.566826', 18]\n",
"['2018-11-22 16:17:38.268971', 17]\n",
"['2018-11-22 16:17:50.796890', 18]\n",
"['2018-11-22 16:18:25.028551', 17]\n",
"['2018-11-22 16:18:42.577346', 15]\n",
"['2018-11-22 16:18:43.387686', 14]\n",
"['2018-11-22 16:18:47.925686', 15]\n",
"['2018-11-22 16:18:51.649773', 16]\n",
"['2018-11-22 16:19:19.961596', 17]\n",
"['2018-11-22 16:19:47.926235', 16]\n",
"['2018-11-22 16:19:55.673176', 17]\n",
"['2018-11-22 16:20:11.339499', 16]\n",
"['2018-11-22 16:20:17.774794', 17]\n",
"['2018-11-22 16:20:21.650028', 15]\n",
"['2018-11-22 16:20:29.816298', 13]\n",
"['2018-11-22 16:20:44.292802', 14]\n",
"['2018-11-22 16:20:52.834523', 15]\n",
"['2018-11-22 16:21:20.408352', 16]\n",
"['2018-11-22 16:21:56.929062', 15]\n",
"['2018-11-22 16:22:21.806059', 16]\n",
"['2018-11-22 16:22:48.285196', 17]\n",
"['2018-11-22 16:22:57.650524', 16]\n",
"['2018-11-22 16:23:14.623715', 17]\n",
"['2018-11-22 16:23:21.716762', 18]\n",
"['2018-11-22 16:23:52.861204', 17]\n",
"['2018-11-22 16:23:57.643317', 16]\n",
"['2018-11-22 16:23:58.719543', 15]\n",
"['2018-11-22 16:24:12.189930', 16]\n",
"['2018-11-22 16:24:17.538080', 15]\n",
"['2018-11-22 16:24:21.223063', 16]\n",
"['2018-11-22 16:24:26.222385', 15]\n",
"['2018-11-22 16:25:07.090025', 13]\n",
"['2018-11-22 16:26:28.735893', 12]\n",
"['2018-11-22 16:26:45.971177', 13]\n",
"['2018-11-22 16:27:00.357140', 12]\n",
"['2018-11-22 16:27:10.198234', 13]\n",
"['2018-11-22 16:27:13.066774', 12]\n",
"['2018-11-22 16:27:18.749792', 11]\n",
"['2018-11-22 16:27:28.118726', 10]\n",
"['2018-11-22 16:28:01.094130', 11]\n",
"['2018-11-22 16:28:13.319303', 10]\n",
"['2018-11-22 16:28:16.774386', 11]\n",
"['2018-11-22 16:28:27.946736', 12]\n",
"['2018-11-22 16:28:44.303317', 11]\n",
"['2018-11-22 16:30:30.208097', 10]\n",
"['2018-11-22 16:32:01.990894', 11]\n",
"['2018-11-22 16:32:13.014100', 10]\n",
"['2018-11-22 16:33:48.782181', 7]\n",
"['2018-11-22 16:34:35.744717', 8]\n",
"['2018-11-22 16:34:56.390735', 7]\n",
"['2018-11-22 16:35:07.549111', 8]\n",
"['2018-11-22 16:35:52.801271', 9]\n",
"['2018-11-22 16:36:15.813061', 10]\n",
"['2018-11-22 16:36:26.461970', 9]\n",
"['2018-11-22 16:38:07.997082', 8]\n",
"['2018-11-22 16:39:25.416279', 7]\n",
"['2018-11-22 16:39:35.367143', 8]\n",
"['2018-11-22 16:39:55.436828', 7]\n",
"['2018-11-22 16:40:25.486794', 6]\n",
"['2018-11-22 16:42:22.283703', 5]\n",
"['2018-11-22 16:42:42.303902', 4]\n",
"['2018-11-22 16:43:00.832406', 5]\n",
"['2018-11-22 16:52:01.579979', 4]\n",
"['2018-11-22 16:52:45.385464', 5]\n",
"['2018-11-22 16:53:36.849832', 6]\n",
"['2018-11-22 16:53:38.220243', 7]\n",
"['2018-11-22 16:53:41.830875', 8]\n",
"['2018-11-22 16:53:53.839770', 9]\n",
"['2018-11-22 16:53:55.589724', 10]\n",
"['2018-11-22 16:53:57.329638', 11]\n",
"['2018-11-22 16:54:31.236655', 12]\n",
"['2018-11-22 16:54:52.367858', 13]\n",
"['2018-11-22 16:55:40.947873', 12]\n",
"['2018-11-22 16:57:38.795658', 11]\n",
"['2018-11-22 16:58:27.081765', 12]\n",
"['2018-11-22 16:58:30.827082', 13]\n",
"['2018-11-22 16:58:47.802312', 12]\n",
"['2018-11-22 16:58:58.264418', 13]\n",
"['2018-11-22 16:59:00.482686', 14]\n",
"['2018-11-22 16:59:02.676643', 15]\n",
"['2018-11-22 16:59:07.842628', 16]\n",
"['2018-11-22 16:59:09.264601', 17]\n",
"['2018-11-22 16:59:29.947856', 16]\n",
"['2018-11-22 16:59:43.649448', 15]\n",
"['2018-11-22 17:01:34.250032', 14]\n",
"['2018-11-22 17:01:57.293299', 13]\n",
"['2018-11-22 17:02:29.771232', 12]\n",
"['2018-11-22 17:02:35.442188', 11]\n",
"['2018-11-22 17:03:17.145515', 12]\n",
"['2018-11-22 17:03:54.868539', 11]\n",
"['2018-11-22 17:05:48.459357', 12]\n",
"['2018-11-22 17:06:01.433464', 13]\n",
"['2018-11-22 17:06:32.686665', 12]\n",
"['2018-11-22 17:07:02.109027', 11]\n",
"['2018-11-22 17:07:23.598153', 10]\n",
"['2018-11-22 17:08:07.802279', 9]\n",
"['2018-11-22 17:08:46.558682', 10]\n",
"['2018-11-22 17:09:31.880191', 11]\n",
"['2018-11-22 17:12:39.097854', 12]\n",
"['2018-11-22 17:12:53.102670', 13]\n",
"['2018-11-22 17:13:07.572529', 14]\n",
"['2018-11-22 17:13:13.579384', 15]\n",
"['2018-11-22 17:13:40.980630', 16]\n",
"['2018-11-22 17:13:58.916825', 15]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-22 17:14:36.281878', 16]\n",
"['2018-11-22 17:14:48.746874', 15]\n",
"['2018-11-22 17:15:16.648080', 16]\n",
"['2018-11-22 17:15:34.806006', 17]\n",
"['2018-11-22 17:16:00.904503', 16]\n",
"['2018-11-22 17:16:34.822053', 15]\n",
"['2018-11-22 17:16:43.977334', 13]\n",
"['2018-11-22 17:17:14.375745', 12]\n",
"['2018-11-22 17:17:30.494042', 13]\n",
"['2018-11-22 17:18:59.321472', 12]\n",
"['2018-11-22 17:19:11.135448', 13]\n",
"['2018-11-22 17:19:16.712407', 12]\n",
"['2018-11-22 17:19:40.810594', 11]\n",
"['2018-11-22 17:19:40.886602', 12]\n",
"['2018-11-22 17:20:33.351832', 13]\n",
"['2018-11-22 17:20:53.902338', 14]\n",
"['2018-11-22 17:22:36.784659', 13]\n",
"['2018-11-22 17:22:52.118842', 14]\n",
"['2018-11-22 17:24:08.925297', 13]\n",
"['2018-11-22 17:24:19.253350', 14]\n",
"['2018-11-22 17:24:50.449659', 15]\n",
"['2018-11-22 17:24:56.602865', 16]\n",
"['2018-11-22 17:25:01.676934', 17]\n",
"['2018-11-22 17:25:16.412104', 18]\n",
"['2018-11-22 17:25:21.426983', 17]\n",
"['2018-11-22 17:25:26.295848', 18]\n",
"['2018-11-22 17:25:51.943969', 19]\n",
"['2018-11-22 17:25:56.256138', 20]\n",
"['2018-11-22 17:26:10.347573', 21]\n",
"['2018-11-22 17:26:29.944985', 22]\n",
"['2018-11-22 17:26:40.415122', 23]\n",
"['2018-11-22 17:26:43.958430', 24]\n",
"['2018-11-22 17:26:45.042760', 25]\n",
"['2018-11-22 17:26:46.263781', 26]\n",
"['2018-11-22 17:26:55.214743', 25]\n",
"['2018-11-22 17:27:15.666060', 24]\n",
"['2018-11-22 17:27:31.335997', 23]\n",
"['2018-11-22 17:27:56.955001', 24]\n",
"['2018-11-22 17:28:10.225176', 23]\n",
"['2018-11-22 17:28:17.224244', 24]\n",
"['2018-11-22 17:28:31.961184', 25]\n",
"['2018-11-22 17:28:44.556834', 24]\n",
"['2018-11-22 17:29:27.271797', 23]\n",
"['2018-11-22 17:29:33.843295', 24]\n",
"['2018-11-22 17:30:01.608093', 21]\n",
"['2018-11-22 17:30:02.584182', 20]\n",
"['2018-11-22 17:30:07.501963', 19]\n",
"['2018-11-22 17:30:16.964299', 18]\n",
"['2018-11-22 17:30:32.039400', 19]\n",
"['2018-11-22 17:30:33.792260', 20]\n",
"['2018-11-22 17:30:46.082677', 18]\n",
"['2018-11-22 17:31:00.637598', 17]\n",
"['2018-11-22 17:31:28.412951', 18]\n",
"['2018-11-22 17:31:53.343289', 19]\n",
"['2018-11-22 17:31:57.490378', 18]\n",
"['2018-11-22 17:32:00.288960', 19]\n",
"['2018-11-22 17:32:06.429722', 20]\n",
"['2018-11-22 17:32:17.285875', 21]\n",
"['2018-11-22 17:32:28.722205', 22]\n",
"['2018-11-22 17:32:36.088429', 23]\n",
"['2018-11-22 17:32:39.959122', 24]\n",
"['2018-11-22 17:32:43.091472', 25]\n",
"['2018-11-22 17:32:45.374030', 24]\n",
"['2018-11-22 17:32:46.569358', 23]\n",
"['2018-11-22 17:32:49.850999', 24]\n",
"['2018-11-22 17:32:50.219683', 25]\n",
"['2018-11-22 17:33:00.984341', 24]\n",
"['2018-11-22 17:33:04.401349', 25]\n",
"['2018-11-22 17:33:07.288248', 26]\n",
"['2018-11-22 17:33:20.290446', 25]\n",
"['2018-11-22 17:33:31.979522', 26]\n",
"['2018-11-22 17:33:35.597151', 24]\n",
"['2018-11-22 17:33:37.877768', 25]\n",
"['2018-11-22 17:33:45.112686', 26]\n",
"['2018-11-22 17:33:51.096816', 27]\n",
"['2018-11-22 17:34:06.877153', 26]\n",
"['2018-11-22 17:34:10.358510', 25]\n",
"['2018-11-22 17:34:15.140956', 26]\n",
"['2018-11-22 17:34:31.554852', 27]\n",
"['2018-11-22 17:34:40.828138', 26]\n",
"['2018-11-22 17:35:37.807464', 25]\n",
"['2018-11-22 17:36:08.441309', 24]\n",
"['2018-11-22 17:36:14.169655', 25]\n",
"['2018-11-22 17:36:27.213800', 23]\n",
"['2018-11-22 17:36:52.427404', 22]\n",
"['2018-11-22 17:37:00.668654', 23]\n",
"['2018-11-22 17:37:32.444954', 21]\n",
"['2018-11-22 17:37:42.988092', 20]\n",
"['2018-11-22 17:37:49.533385', 16]\n",
"['2018-11-22 17:37:52.467654', 15]\n",
"['2018-11-22 17:38:31.789913', 13]\n",
"['2018-11-22 17:38:49.617595', 9]\n",
"['2018-11-22 17:39:13.691087', 10]\n",
"['2018-11-22 17:40:14.898980', 9]\n",
"['2018-11-22 17:40:45.688113', 10]\n",
"['2018-11-22 17:41:03.311209', 9]\n",
"['2018-11-22 17:41:04.979222', 10]\n",
"['2018-11-22 17:41:38.142426', 11]\n",
"['2018-11-22 17:43:07.036897', 9]\n",
"['2018-11-22 17:43:19.699195', 8]\n",
"['2018-11-22 17:45:01.487710', 7]\n",
"['2018-11-22 17:45:04.739544', 6]\n",
"['2018-11-22 17:45:21.489479', 5]\n",
"['2018-11-22 17:45:55.153057', 4]\n",
"['2018-11-22 17:45:56.698643', 5]\n",
"['2018-11-22 17:48:01.627726', 6]\n",
"['2018-11-22 17:50:13.802832', 5]\n",
"['2018-11-22 17:51:39.842599', 6]\n",
"['2018-11-22 17:54:27.491735', 5]\n",
"['2018-11-22 17:55:37.010524', 3]\n",
"['2018-11-22 17:56:46.755669', 2]\n",
"['2018-11-22 17:58:36.139031', 3]\n",
"['2018-11-22 18:00:44.730560', 4]\n",
"['2018-11-22 18:00:52.738944', 3]\n",
"['2018-11-22 18:07:23.884958', 4]\n",
"['2018-11-22 18:09:04.165565', 5]\n",
"['2018-11-22 18:10:06.890786', 6]\n",
"['2018-11-22 18:10:41.135928', 7]\n",
"['2018-11-22 18:10:42.283518', 8]\n",
"['2018-11-22 18:10:54.818178', 9]\n",
"['2018-11-22 18:11:00.514396', 10]\n",
"['2018-11-22 18:11:04.649308', 11]\n",
"['2018-11-22 18:11:10.312624', 12]\n",
"['2018-11-22 18:11:37.859139', 13]\n",
"['2018-11-22 18:11:38.540360', 14]\n",
"['2018-11-22 18:11:43.234251', 15]\n",
"['2018-11-22 18:11:47.981755', 16]\n",
"['2018-11-22 18:11:48.858050', 17]\n",
"['2018-11-22 18:11:53.970611', 18]\n",
"['2018-11-22 18:12:12.972788', 19]\n",
"['2018-11-22 18:12:14.362455', 20]\n",
"['2018-11-22 18:12:29.386962', 21]\n",
"['2018-11-22 18:12:44.279755', 22]\n",
"['2018-11-22 18:13:04.921214', 21]\n",
"['2018-11-22 18:13:21.303991', 22]\n",
"['2018-11-22 18:13:24.665083', 21]\n",
"['2018-11-22 18:13:53.110425', 22]\n",
"['2018-11-22 18:14:01.694641', 23]\n",
"['2018-11-22 18:14:10.743598', 22]\n",
"['2018-11-22 18:15:48.130371', 23]\n",
"['2018-11-22 18:16:00.854871', 24]\n",
"['2018-11-22 18:16:10.123032', 23]\n",
"['2018-11-22 18:16:15.261291', 22]\n",
"['2018-11-22 18:17:47.060346', 21]\n",
"['2018-11-22 18:17:53.189155', 19]\n",
"['2018-11-22 18:17:55.147758', 18]\n",
"['2018-11-22 18:18:05.156417', 17]\n",
"['2018-11-22 18:18:15.162383', 16]\n",
"['2018-11-22 18:18:19.384061', 17]\n",
"['2018-11-22 18:18:47.952563', 15]\n",
"['2018-11-22 18:19:20.299685', 16]\n",
"['2018-11-22 18:19:28.605305', 17]\n",
"['2018-11-22 18:19:51.292391', 13]\n",
"['2018-11-22 18:19:54.460941', 14]\n",
"['2018-11-22 18:20:03.946172', 13]\n",
"['2018-11-22 18:20:21.387195', 12]\n",
"['2018-11-22 18:20:29.093670', 13]\n",
"['2018-11-22 18:20:40.352122', 14]\n",
"['2018-11-22 18:20:43.735997', 15]\n",
"['2018-11-22 18:20:54.859545', 16]\n",
"['2018-11-22 18:21:13.693987', 17]\n",
"['2018-11-22 18:21:14.423522', 18]\n",
"['2018-11-22 18:21:21.982541', 19]\n",
"['2018-11-22 18:21:29.576354', 20]\n",
"['2018-11-22 18:22:21.416002', 19]\n",
"['2018-11-22 18:22:52.405120', 18]\n",
"['2018-11-22 18:23:23.469307', 16]\n",
"['2018-11-22 18:23:23.677324', 17]\n",
"['2018-11-22 18:23:40.639147', 18]\n",
"['2018-11-22 18:23:56.983511', 19]\n",
"['2018-11-22 18:24:04.075823', 18]\n",
"['2018-11-22 18:24:34.086421', 17]\n",
"['2018-11-22 18:24:49.093796', 15]\n",
"['2018-11-22 18:25:00.812340', 14]\n",
"['2018-11-22 18:25:19.125607', 13]\n",
"['2018-11-22 18:25:27.675933', 14]\n",
"['2018-11-22 18:25:29.874939', 15]\n",
"['2018-11-22 18:25:38.266293', 16]\n",
"['2018-11-22 18:25:53.276310', 15]\n",
"['2018-11-22 18:26:34.250076', 14]\n",
"['2018-11-22 18:27:49.213279', 13]\n",
"['2018-11-22 18:27:58.836361', 12]\n",
"['2018-11-22 18:30:40.299238', 11]\n",
"['2018-11-22 18:30:42.755042', 10]\n",
"['2018-11-22 18:31:17.352729', 11]\n",
"['2018-11-22 18:31:59.801072', 10]\n",
"['2018-11-22 18:32:10.375599', 9]\n",
"['2018-11-22 18:34:42.837183', 8]\n",
"['2018-11-22 18:35:25.533486', 7]\n",
"['2018-11-22 18:36:10.557853', 6]\n",
"['2018-11-22 18:37:14.452743', 7]\n",
"['2018-11-22 18:39:45.686713', 6]\n",
"['2018-11-22 18:41:00.798261', 7]\n",
"['2018-11-22 18:42:21.835875', 6]\n",
"['2018-11-22 18:42:53.702583', 5]\n",
"['2018-11-22 18:45:29.648038', 4]\n",
"['2018-11-22 18:46:01.701784', 3]\n",
"['2018-11-22 18:49:52.641427', 4]\n",
"['2018-11-22 18:50:14.188133', 5]\n",
"['2018-11-22 18:50:43.926220', 6]\n",
"['2018-11-22 18:52:07.281068', 7]\n",
"['2018-11-22 18:52:13.431539', 8]\n",
"['2018-11-22 18:53:38.464588', 9]\n",
"['2018-11-22 18:53:47.692698', 8]\n",
"['2018-11-22 18:53:57.442108', 7]\n",
"['2018-11-22 18:55:16.711529', 6]\n",
"['2018-11-22 18:56:08.711485', 5]\n",
"['2018-11-22 18:58:44.608935', 6]\n",
"['2018-11-22 18:59:11.199613', 7]\n",
"['2018-11-22 18:59:17.199400', 8]\n",
"['2018-11-22 19:00:21.738599', 9]\n",
"['2018-11-22 19:01:09.110631', 10]\n",
"['2018-11-22 19:01:24.950780', 11]\n",
"['2018-11-22 19:02:35.027901', 10]\n",
"['2018-11-22 19:02:51.016742', 9]\n",
"['2018-11-22 19:02:59.938443', 8]\n",
"['2018-11-22 19:04:34.941095', 7]\n",
"['2018-11-22 19:08:16.499885', 8]\n",
"['2018-11-22 19:12:40.694528', 9]\n",
"['2018-11-22 19:13:58.532065', 7]\n",
"['2018-11-22 19:14:25.010452', 8]\n",
"['2018-11-22 19:14:56.507880', 9]\n",
"['2018-11-22 19:15:09.613844', 8]\n",
"['2018-11-22 19:16:41.755741', 9]\n",
"['2018-11-22 19:18:58.122554', 8]\n",
"['2018-11-22 19:20:43.425045', 7]\n",
"['2018-11-22 19:21:08.854149', 6]\n",
"['2018-11-22 19:21:18.817837', 7]\n",
"['2018-11-22 19:22:28.522269', 8]\n",
"['2018-11-22 19:22:37.453456', 7]\n",
"['2018-11-22 19:23:23.908983', 6]\n",
"['2018-11-22 19:24:29.343046', 7]\n",
"['2018-11-22 19:26:04.588922', 8]\n",
"['2018-11-22 19:28:37.898707', 9]\n",
"['2018-11-22 19:28:47.969536', 10]\n",
"['2018-11-22 19:28:48.728816', 11]\n",
"['2018-11-22 19:28:54.920755', 12]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-22 19:29:46.371547', 13]\n",
"['2018-11-22 19:29:58.066911', 12]\n",
"['2018-11-22 19:30:22.685317', 13]\n",
"['2018-11-22 19:30:45.064670', 14]\n",
"['2018-11-22 19:31:09.584639', 15]\n",
"['2018-11-22 19:31:21.737430', 16]\n",
"['2018-11-22 19:31:28.227680', 17]\n",
"['2018-11-22 19:31:37.861657', 18]\n",
"['2018-11-22 19:32:50.964652', 15]\n",
"['2018-11-22 19:33:01.819367', 14]\n",
"['2018-11-22 19:33:15.539778', 15]\n",
"['2018-11-22 19:34:24.335190', 16]\n",
"['2018-11-22 19:34:39.337498', 15]\n",
"['2018-11-22 19:34:49.281157', 16]\n",
"['2018-11-22 19:35:09.949366', 14]\n",
"['2018-11-22 19:35:22.006716', 13]\n",
"['2018-11-22 19:35:30.038380', 10]\n",
"['2018-11-22 19:35:39.919885', 11]\n",
"['2018-11-22 19:35:56.095916', 9]\n",
"['2018-11-22 19:36:19.936115', 8]\n",
"['2018-11-22 19:37:00.466528', 7]\n",
"['2018-11-22 19:38:58.233102', 5]\n",
"['2018-11-22 19:44:36.198930', 2]\n",
"['2018-11-22 20:11:30.311228', 3]\n",
"['2018-11-22 20:14:29.482292', 4]\n",
"['2018-11-22 20:15:32.419818', 5]\n",
"['2018-11-22 20:15:48.036882', 6]\n",
"['2018-11-22 20:15:59.115957', 7]\n",
"['2018-11-22 20:16:11.842190', 8]\n",
"['2018-11-22 20:16:18.980391', 9]\n",
"['2018-11-22 20:17:04.925697', 10]\n",
"['2018-11-22 20:18:43.617302', 11]\n",
"['2018-11-22 20:18:49.250804', 10]\n",
"['2018-11-22 20:20:01.887268', 8]\n",
"['2018-11-22 20:22:16.928889', 5]\n",
"['2018-11-22 20:23:25.379067', 3]\n",
"['2018-11-22 20:24:02.130092', 2]\n",
"['2018-11-22 20:25:41.079806', 3]\n",
"['2018-11-22 20:33:45.424210', 2]\n",
"['2018-11-22 20:35:19.863106', 3]\n",
"['2018-11-22 20:40:30.758489', 4]\n",
"['2018-11-22 20:42:59.703809', 3]\n",
"['2018-11-22 20:46:04.413127', 4]\n",
"['2018-11-22 20:46:56.860799', 5]\n",
"['2018-11-22 20:48:12.267346', 6]\n",
"['2018-11-22 20:50:12.824916', 4]\n",
"['2018-11-22 20:50:52.012266', 3]\n",
"['2018-11-22 20:57:31.039116', 2]\n",
"['2018-11-22 21:01:50.868913', 3]\n",
"['2018-11-22 21:02:50.650755', 4]\n",
"['2018-11-22 21:05:29.105635', 5]\n",
"['2018-11-22 21:05:49.573555', 6]\n",
"['2018-11-22 21:05:52.440901', 5]\n",
"['2018-11-22 21:06:38.864547', 6]\n",
"['2018-11-22 21:06:39.076432', 7]\n",
"['2018-11-22 21:06:55.850325', 8]\n",
"['2018-11-22 21:07:40.885424', 6]\n",
"['2018-11-22 21:09:31.268656', 7]\n",
"['2018-11-22 21:14:21.467218', 2]\n",
"['2018-11-22 21:14:25.675684', 3]\n",
"['2018-11-25 05:48:08.007354', 2]\n",
"['2018-11-25 05:50:05.686788', 3]\n",
"['2018-11-25 06:02:32.022005', 2]\n",
"['2018-11-25 06:04:16.480700', 3]\n",
"['2018-11-25 06:12:16.585270', 2]\n",
"['2018-11-25 06:16:00.854645', 3]\n",
"['2018-11-25 06:20:30.457831', 4]\n",
"['2018-11-25 07:21:43.355492', 2]\n",
"['2018-11-25 07:22:15.127483', 3]\n",
"['2018-11-25 07:28:51.863331', 2]\n",
"['2018-11-25 07:31:38.728957', 3]\n",
"['2018-11-25 07:32:52.622922', 4]\n",
"['2018-11-25 07:32:53.110510', 5]\n",
"['2018-11-25 07:34:15.504383', 6]\n",
"['2018-11-25 07:36:06.001620', 5]\n",
"['2018-11-25 07:38:00.478905', 4]\n",
"['2018-11-25 07:39:20.270221', 5]\n",
"['2018-11-25 07:40:29.230784', 6]\n",
"['2018-11-25 07:43:43.224835', 5]\n",
"['2018-11-25 07:45:29.809443', 6]\n",
"['2018-11-25 07:49:31.184603', 5]\n",
"['2018-11-25 07:51:05.010852', 6]\n",
"['2018-11-25 07:52:31.182782', 7]\n",
"['2018-11-25 07:54:56.952495', 8]\n",
"['2018-11-25 07:54:59.413633', 9]\n",
"['2018-11-25 07:55:20.779319', 8]\n",
"['2018-11-25 07:55:39.077836', 9]\n",
"['2018-11-25 07:55:45.055855', 8]\n",
"['2018-11-25 07:58:24.510190', 9]\n",
"['2018-11-25 07:59:11.152973', 7]\n",
"['2018-11-25 08:00:17.340533', 6]\n",
"['2018-11-25 08:00:37.629724', 7]\n",
"['2018-11-25 08:01:34.563607', 8]\n",
"['2018-11-25 08:02:11.485165', 9]\n",
"['2018-11-25 08:04:34.038261', 8]\n",
"['2018-11-25 08:04:38.995233', 7]\n",
"['2018-11-25 08:05:04.002780', 6]\n",
"['2018-11-25 08:05:24.000752', 4]\n",
"['2018-11-25 08:05:38.020568', 3]\n",
"['2018-11-25 08:18:49.061387', 2]\n",
"['2018-11-25 08:26:39.843937', 3]\n",
"['2018-11-25 08:29:22.451131', 4]\n",
"['2018-11-25 08:32:22.493155', 2]\n",
"['2018-11-25 08:33:16.789894', 3]\n",
"['2018-11-25 08:43:18.140141', 4]\n",
"['2018-11-25 08:44:22.480326', 5]\n",
"['2018-11-25 08:47:17.338177', 4]\n",
"['2018-11-25 08:49:28.594145', 5]\n",
"['2018-11-25 08:49:37.022724', 6]\n",
"['2018-11-25 08:49:41.717983', 7]\n",
"['2018-11-25 08:49:46.704170', 8]\n",
"['2018-11-25 08:49:55.612597', 9]\n",
"['2018-11-25 08:51:04.110498', 10]\n",
"['2018-11-25 08:51:54.228781', 11]\n",
"['2018-11-25 08:51:57.711201', 12]\n",
"['2018-11-25 08:52:03.074492', 13]\n",
"['2018-11-25 08:52:36.313152', 14]\n",
"['2018-11-25 08:53:55.050860', 12]\n",
"['2018-11-25 08:54:05.725979', 13]\n",
"['2018-11-25 08:54:53.799637', 12]\n",
"['2018-11-25 08:55:25.252468', 11]\n",
"['2018-11-25 08:55:47.720251', 10]\n",
"['2018-11-25 08:55:56.833355', 11]\n",
"['2018-11-25 08:55:57.991562', 10]\n",
"['2018-11-25 08:56:09.163859', 8]\n",
"['2018-11-25 08:57:40.077398', 9]\n",
"['2018-11-25 08:58:04.666613', 10]\n",
"['2018-11-25 08:58:11.340796', 9]\n",
"['2018-11-25 08:59:22.662508', 10]\n",
"['2018-11-25 09:00:04.939113', 11]\n",
"['2018-11-25 09:00:13.825617', 12]\n",
"['2018-11-25 09:01:26.290097', 11]\n",
"['2018-11-25 09:01:57.163931', 10]\n",
"['2018-11-25 09:02:31.668446', 8]\n",
"['2018-11-25 09:02:44.252840', 9]\n",
"['2018-11-25 09:03:30.988487', 8]\n",
"['2018-11-25 09:04:06.225217', 7]\n",
"['2018-11-25 09:06:11.582399', 8]\n",
"['2018-11-25 09:09:34.280089', 9]\n",
"['2018-11-25 09:10:12.055927', 8]\n",
"['2018-11-25 09:12:43.226409', 6]\n",
"['2018-11-25 09:26:08.477536', 2]\n",
"['2018-11-25 09:39:37.000823', 3]\n",
"['2018-11-25 09:40:41.160762', 4]\n",
"['2018-11-25 09:41:11.020965', 5]\n",
"['2018-11-25 09:44:10.782581', 6]\n",
"['2018-11-25 09:45:46.093484', 5]\n",
"['2018-11-25 09:46:15.958487', 6]\n",
"['2018-11-25 09:46:18.500218', 7]\n",
"['2018-11-25 09:48:00.779530', 8]\n",
"['2018-11-25 09:48:09.091718', 9]\n",
"['2018-11-25 09:48:20.952987', 8]\n",
"['2018-11-25 09:51:28.288519', 7]\n",
"['2018-11-25 09:52:04.475040', 8]\n",
"['2018-11-25 09:52:32.897410', 9]\n",
"['2018-11-25 09:52:48.199470', 10]\n",
"['2018-11-25 09:53:11.054127', 11]\n",
"['2018-11-25 09:53:21.505205', 12]\n",
"['2018-11-25 09:54:19.652629', 10]\n",
"['2018-11-25 09:55:35.654188', 9]\n",
"['2018-11-25 09:56:57.968331', 10]\n",
"['2018-11-25 09:57:52.227466', 9]\n",
"['2018-11-25 09:57:52.740498', 10]\n",
"['2018-11-25 09:57:59.510190', 11]\n",
"['2018-11-25 09:58:10.178785', 12]\n",
"['2018-11-25 09:58:11.138703', 13]\n",
"['2018-11-25 09:59:02.389135', 12]\n",
"['2018-11-25 09:59:23.972477', 11]\n",
"['2018-11-25 10:00:28.822314', 12]\n",
"['2018-11-25 10:00:45.992623', 13]\n",
"['2018-11-25 10:01:04.101956', 12]\n",
"['2018-11-25 10:02:20.421956', 11]\n",
"['2018-11-25 10:02:31.690857', 10]\n",
"['2018-11-25 10:02:52.055215', 9]\n",
"['2018-11-25 10:03:00.035658', 8]\n",
"['2018-11-25 10:03:18.513101', 9]\n",
"['2018-11-25 10:03:31.339442', 8]\n",
"['2018-11-25 10:09:05.212171', 2]\n",
"['2018-11-25 10:27:35.564085', 3]\n",
"['2018-11-25 10:37:15.757690', 2]\n",
"['2018-11-25 10:48:30.508976', 3]\n",
"['2018-11-25 10:48:30.903010', 4]\n",
"['2018-11-25 10:48:38.386436', 5]\n",
"['2018-11-25 10:48:58.671973', 6]\n",
"['2018-11-25 10:49:25.694846', 7]\n",
"['2018-11-25 10:49:32.033282', 8]\n",
"['2018-11-25 10:50:30.940314', 9]\n",
"['2018-11-25 10:53:02.744111', 10]\n",
"['2018-11-25 10:55:45.999134', 4]\n",
"['2018-11-25 10:58:55.732432', 5]\n",
"['2018-11-25 11:34:35.235237', 2]\n",
"['2018-11-25 11:44:33.334359', 3]\n",
"['2018-11-25 11:50:27.234236', 4]\n",
"['2018-11-25 11:50:37.999478', 3]\n",
"['2018-11-25 11:51:15.285628', 4]\n",
"['2018-11-25 11:51:48.165670', 5]\n",
"['2018-11-25 11:51:50.868033', 6]\n",
"['2018-11-25 11:53:41.319448', 7]\n",
"['2018-11-25 11:55:05.138127', 8]\n",
"['2018-11-25 11:58:32.597283', 3]\n",
"['2018-11-25 11:58:34.251223', 4]\n",
"['2018-11-25 11:59:21.675811', 3]\n",
"['2018-11-25 12:02:01.304959', 4]\n",
"['2018-11-25 12:06:10.767524', 2]\n",
"['2018-11-25 12:07:48.172917', 3]\n",
"['2018-11-25 12:17:50.314915', 2]\n",
"['2018-11-25 12:36:10.633480', 3]\n",
"['2018-11-25 12:44:42.920444', 4]\n",
"['2018-11-25 12:46:12.297800', 5]\n",
"['2018-11-25 12:46:16.600861', 6]\n",
"['2018-11-25 12:46:25.580643', 7]\n",
"['2018-11-25 12:46:36.988088', 8]\n",
"['2018-11-25 12:46:43.853998', 9]\n",
"['2018-11-25 12:47:02.757530', 10]\n",
"['2018-11-25 12:48:27.758868', 11]\n",
"['2018-11-25 12:49:26.432658', 12]\n",
"['2018-11-25 12:50:54.480788', 11]\n",
"['2018-11-25 12:51:54.311211', 12]\n",
"['2018-11-25 12:51:58.885119', 13]\n",
"['2018-11-25 12:52:06.507224', 14]\n",
"['2018-11-25 12:52:23.194904', 15]\n",
"['2018-11-25 12:52:28.520488', 14]\n",
"['2018-11-25 12:52:54.816462', 15]\n",
"['2018-11-25 12:53:19.461680', 14]\n",
"['2018-11-25 12:53:28.923527', 12]\n",
"['2018-11-25 12:53:50.107341', 11]\n",
"['2018-11-25 12:54:00.283162', 12]\n",
"['2018-11-25 12:54:04.103582', 11]\n",
"['2018-11-25 12:54:19.078466', 10]\n",
"['2018-11-25 12:55:27.823958', 11]\n",
"['2018-11-25 12:55:39.844661', 12]\n",
"['2018-11-25 12:55:58.910504', 11]\n",
"['2018-11-25 12:56:05.207767', 12]\n",
"['2018-11-25 12:56:26.519521', 11]\n",
"['2018-11-25 12:57:34.863074', 12]\n",
"['2018-11-25 12:58:14.002832', 11]\n",
"['2018-11-25 12:59:30.334402', 9]\n",
"['2018-11-25 12:59:36.343569', 8]\n",
"['2018-11-25 12:59:41.001154', 9]\n",
"['2018-11-25 13:00:09.696076', 8]\n",
"['2018-11-25 13:01:17.289526', 9]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-25 13:03:15.964789', 7]\n",
"['2018-11-25 13:04:13.394999', 3]\n",
"['2018-11-25 13:06:39.631738', 4]\n",
"['2018-11-25 13:11:07.074468', 3]\n",
"['2018-11-25 13:18:43.247270', 2]\n",
"['2018-11-25 13:31:59.601377', 3]\n",
"['2018-11-25 13:40:13.734501', 2]\n",
"['2018-11-25 13:40:24.220923', 3]\n",
"['2018-11-25 13:41:18.836631', 4]\n",
"['2018-11-25 13:43:32.368381', 5]\n",
"['2018-11-25 13:45:11.797263', 6]\n",
"['2018-11-25 13:46:03.374674', 7]\n",
"['2018-11-25 13:47:37.432631', 6]\n",
"['2018-11-25 13:48:38.925202', 5]\n",
"['2018-11-25 13:52:03.961160', 6]\n",
"['2018-11-25 13:54:38.019377', 5]\n",
"['2018-11-25 13:54:54.133969', 6]\n",
"['2018-11-25 13:58:11.731808', 5]\n",
"['2018-11-25 13:59:03.978864', 4]\n",
"['2018-11-25 13:59:06.492618', 5]\n",
"['2018-11-25 13:59:39.811620', 6]\n",
"['2018-11-25 13:59:40.872786', 7]\n",
"['2018-11-25 14:00:39.663305', 8]\n",
"['2018-11-25 14:00:57.691597', 9]\n",
"['2018-11-25 14:01:12.051750', 10]\n",
"['2018-11-25 14:03:49.586733', 7]\n",
"['2018-11-25 14:05:11.383864', 6]\n",
"['2018-11-25 14:10:34.939162', 2]\n",
"['2018-11-25 14:38:51.295590', 3]\n",
"['2018-11-25 14:39:20.264402', 4]\n",
"['2018-11-25 14:40:22.936849', 5]\n",
"['2018-11-25 14:41:25.862150', 6]\n",
"['2018-11-25 14:42:05.265082', 7]\n",
"['2018-11-25 14:43:45.572633', 8]\n",
"['2018-11-25 14:44:47.337488', 9]\n",
"['2018-11-25 14:45:18.914702', 10]\n",
"['2018-11-25 14:45:24.876593', 11]\n",
"['2018-11-25 14:45:40.097370', 12]\n",
"['2018-11-25 14:46:23.816567', 13]\n",
"['2018-11-25 14:46:26.394133', 14]\n",
"['2018-11-25 14:47:26.408625', 15]\n",
"['2018-11-25 14:47:38.614264', 14]\n",
"['2018-11-25 14:47:48.770509', 13]\n",
"['2018-11-25 14:48:07.861145', 14]\n",
"['2018-11-25 14:49:17.522679', 13]\n",
"['2018-11-25 14:49:39.040543', 12]\n",
"['2018-11-25 14:50:14.813459', 10]\n",
"['2018-11-25 14:50:21.045884', 9]\n",
"['2018-11-25 14:50:38.460062', 7]\n",
"['2018-11-25 14:50:46.693097', 8]\n",
"['2018-11-25 14:51:02.749436', 7]\n",
"['2018-11-25 14:51:27.941949', 8]\n",
"['2018-11-25 14:52:53.064802', 7]\n",
"['2018-11-25 14:52:57.619145', 8]\n",
"['2018-11-25 14:53:30.134411', 9]\n",
"['2018-11-25 14:53:49.670555', 8]\n",
"['2018-11-25 14:54:05.341721', 9]\n",
"['2018-11-25 14:55:10.018105', 8]\n",
"['2018-11-25 14:55:51.487218', 7]\n",
"['2018-11-25 14:58:38.621091', 5]\n",
"['2018-11-25 14:59:22.203304', 3]\n",
"['2018-11-25 15:02:26.369485', 4]\n",
"['2018-11-25 15:35:34.427048', 2]\n",
"['2018-11-25 15:39:36.562398', 3]\n",
"['2018-11-25 15:44:23.200088', 2]\n",
"['2018-11-25 15:48:05.404327', 3]\n",
"['2018-11-25 15:49:22.293270', 4]\n",
"['2018-11-25 15:50:09.268664', 5]\n",
"['2018-11-25 15:51:31.004868', 6]\n",
"['2018-11-25 15:51:57.390691', 7]\n",
"['2018-11-25 15:52:18.145631', 6]\n",
"['2018-11-25 15:53:36.996697', 7]\n",
"['2018-11-25 15:53:55.428695', 8]\n",
"['2018-11-25 15:54:09.891769', 9]\n",
"['2018-11-25 15:54:23.535938', 10]\n",
"['2018-11-25 15:54:27.163672', 11]\n",
"['2018-11-25 15:56:03.080487', 10]\n",
"['2018-11-25 15:56:48.064757', 9]\n",
"['2018-11-25 15:56:49.052400', 10]\n",
"['2018-11-25 15:56:49.800971', 11]\n",
"['2018-11-25 15:56:51.540519', 12]\n",
"['2018-11-25 15:57:51.386687', 13]\n",
"['2018-11-25 15:58:22.988858', 12]\n",
"['2018-11-25 15:59:23.722766', 10]\n",
"['2018-11-25 15:59:59.735823', 11]\n",
"['2018-11-25 16:00:14.736055', 10]\n",
"['2018-11-25 16:00:31.196425', 11]\n",
"['2018-11-25 16:01:00.591552', 9]\n",
"['2018-11-25 16:01:54.626553', 6]\n",
"['2018-11-25 16:03:31.566057', 5]\n",
"['2018-11-25 16:04:31.739478', 4]\n",
"['2018-11-25 16:05:39.464132', 2]\n",
"['2018-11-25 16:45:14.198520', 3]\n",
"['2018-11-25 16:45:47.791079', 4]\n",
"['2018-11-25 16:46:00.198124', 5]\n",
"['2018-11-25 16:46:50.873788', 6]\n",
"['2018-11-25 16:47:27.039932', 7]\n",
"['2018-11-25 16:48:33.576555', 6]\n",
"['2018-11-25 16:50:24.486878', 7]\n",
"['2018-11-25 16:50:30.770456', 8]\n",
"['2018-11-25 16:51:04.139431', 7]\n",
"['2018-11-25 16:51:42.854057', 5]\n",
"['2018-11-25 16:51:53.461958', 6]\n",
"['2018-11-25 16:52:15.617686', 7]\n",
"['2018-11-25 16:53:03.851368', 8]\n",
"['2018-11-25 16:54:23.542455', 9]\n",
"['2018-11-25 16:55:05.480918', 10]\n",
"['2018-11-25 16:55:12.638209', 9]\n",
"['2018-11-25 16:56:27.724922', 6]\n",
"['2018-11-25 16:58:36.271154', 4]\n",
"['2018-11-25 17:00:44.216355', 2]\n",
"['2018-11-25 17:04:15.535459', 3]\n",
"['2018-11-25 17:17:17.190481', 2]\n",
"['2018-11-25 17:20:14.077408', 3]\n",
"['2018-11-25 17:26:00.765978', 4]\n",
"['2018-11-25 17:28:33.921652', 3]\n",
"['2018-11-25 17:30:11.273696', 4]\n",
"['2018-11-25 17:36:16.550833', 5]\n",
"['2018-11-25 17:38:18.882768', 6]\n",
"['2018-11-25 17:38:41.998947', 7]\n",
"['2018-11-25 17:40:00.121230', 8]\n",
"['2018-11-25 17:42:17.720381', 7]\n",
"['2018-11-25 17:42:25.731189', 6]\n",
"['2018-11-25 17:43:43.840789', 5]\n",
"['2018-11-25 17:47:53.180339', 6]\n",
"['2018-11-25 17:50:19.909624', 7]\n",
"['2018-11-25 17:50:38.867995', 8]\n",
"['2018-11-25 17:51:03.685097', 9]\n",
"['2018-11-25 17:51:24.995883', 10]\n",
"['2018-11-25 17:51:26.358448', 11]\n",
"['2018-11-25 17:51:28.796752', 12]\n",
"['2018-11-25 17:51:35.370944', 13]\n",
"['2018-11-25 17:51:50.102982', 12]\n",
"['2018-11-25 17:52:01.450040', 13]\n",
"['2018-11-25 17:52:02.073178', 14]\n",
"['2018-11-25 17:52:16.080762', 13]\n",
"['2018-11-25 17:53:59.689090', 12]\n",
"['2018-11-25 17:53:59.957100', 13]\n",
"['2018-11-25 17:54:18.023564', 14]\n",
"['2018-11-25 17:54:49.586596', 15]\n",
"['2018-11-25 17:55:28.783605', 16]\n",
"['2018-11-25 17:55:48.527028', 17]\n",
"['2018-11-25 17:55:49.488911', 18]\n",
"['2018-11-25 17:56:22.516706', 17]\n",
"['2018-11-25 17:56:54.492708', 16]\n",
"['2018-11-25 17:58:21.200791', 15]\n",
"['2018-11-25 17:58:29.040856', 16]\n",
"['2018-11-25 17:58:33.402268', 17]\n",
"['2018-11-25 17:59:18.616100', 16]\n",
"['2018-11-25 17:59:19.811840', 17]\n",
"['2018-11-25 17:59:30.707491', 15]\n",
"['2018-11-25 17:59:38.250280', 16]\n",
"['2018-11-25 17:59:43.779494', 17]\n",
"['2018-11-25 17:59:56.267300', 15]\n",
"['2018-11-25 18:00:13.794133', 14]\n",
"['2018-11-25 18:00:46.496098', 13]\n",
"['2018-11-25 18:00:50.873461', 14]\n",
"['2018-11-25 18:01:27.936744', 15]\n",
"['2018-11-25 18:02:19.857573', 16]\n",
"['2018-11-25 18:02:29.860509', 15]\n",
"['2018-11-25 18:02:34.857575', 14]\n",
"['2018-11-25 18:03:21.771338', 13]\n",
"['2018-11-25 18:03:51.930278', 11]\n",
"['2018-11-25 18:04:13.242147', 10]\n",
"['2018-11-25 18:04:21.992600', 9]\n",
"['2018-11-25 18:05:00.636407', 8]\n",
"['2018-11-25 18:05:32.999389', 7]\n",
"['2018-11-25 18:07:00.779187', 6]\n",
"['2018-11-25 18:08:05.397180', 7]\n",
"['2018-11-25 18:08:34.146984', 6]\n",
"['2018-11-25 18:10:11.364978', 5]\n",
"['2018-11-25 18:10:35.324664', 4]\n",
"['2018-11-25 18:19:20.427080', 2]\n",
"['2018-11-25 18:31:13.182407', 3]\n",
"['2018-11-25 18:32:19.729625', 4]\n",
"['2018-11-25 18:34:21.522573', 3]\n",
"['2018-11-25 18:35:22.626915', 2]\n",
"['2018-11-25 18:35:33.669287', 3]\n",
"['2018-11-25 18:38:32.280582', 4]\n",
"['2018-11-25 18:40:34.268806', 3]\n",
"['2018-11-25 18:42:45.238881', 4]\n",
"['2018-11-25 18:42:54.063597', 5]\n",
"['2018-11-25 18:43:10.844880', 6]\n",
"['2018-11-25 18:43:52.707384', 7]\n",
"['2018-11-25 18:44:24.162965', 8]\n",
"['2018-11-25 18:46:25.893745', 7]\n",
"['2018-11-25 18:47:40.365660', 8]\n",
"['2018-11-25 18:47:53.444204', 9]\n",
"['2018-11-25 18:48:02.711612', 10]\n",
"['2018-11-25 18:48:17.290853', 11]\n",
"['2018-11-25 18:48:25.842640', 10]\n",
"['2018-11-25 18:48:44.507481', 9]\n",
"['2018-11-25 18:48:52.717379', 10]\n",
"['2018-11-25 18:49:15.448403', 9]\n",
"['2018-11-25 18:49:35.196925', 10]\n",
"['2018-11-25 18:51:04.262672', 9]\n",
"['2018-11-25 18:51:07.690343', 10]\n",
"['2018-11-25 18:51:31.737028', 11]\n",
"['2018-11-25 18:52:03.288977', 10]\n",
"['2018-11-25 18:52:19.138538', 9]\n",
"['2018-11-25 18:52:35.060072', 8]\n",
"['2018-11-25 18:52:50.888321', 7]\n",
"['2018-11-25 18:52:53.126070', 8]\n",
"['2018-11-25 18:53:00.961090', 9]\n",
"['2018-11-25 18:53:17.751994', 8]\n",
"['2018-11-25 18:54:33.002052', 7]\n",
"['2018-11-25 18:55:51.955865', 6]\n",
"['2018-11-25 18:56:19.717544', 5]\n",
"['2018-11-25 18:56:59.387487', 4]\n",
"['2018-11-25 18:57:15.153598', 3]\n",
"['2018-11-25 18:59:37.005272', 2]\n",
"['2018-11-25 19:01:07.961527', 3]\n",
"['2018-11-25 19:05:21.420094', 2]\n",
"['2018-11-25 19:39:29.303132', 3]\n",
"['2018-11-25 19:42:53.003458', 4]\n",
"['2018-11-25 19:43:49.361230', 3]\n",
"['2018-11-25 19:49:00.397936', 2]\n",
"['2018-11-25 19:49:02.863583', 3]\n",
"['2018-11-25 19:50:05.679368', 4]\n",
"['2018-11-25 19:51:27.149903', 5]\n",
"['2018-11-25 19:51:29.414310', 6]\n",
"['2018-11-25 19:52:41.924532', 7]\n",
"['2018-11-25 19:52:58.632928', 8]\n",
"['2018-11-25 19:53:26.003327', 9]\n",
"['2018-11-25 19:53:41.354538', 8]\n",
"['2018-11-25 19:54:31.480483', 7]\n",
"['2018-11-25 19:55:13.029677', 8]\n",
"['2018-11-25 19:55:40.174924', 6]\n",
"['2018-11-25 19:56:21.960236', 7]\n",
"['2018-11-25 19:56:53.385371', 8]\n",
"['2018-11-25 19:57:19.223098', 7]\n",
"['2018-11-25 19:57:27.075870', 8]\n",
"['2018-11-25 19:58:16.800934', 9]\n",
"['2018-11-25 19:58:50.008537', 10]\n",
"['2018-11-25 19:59:34.058258', 11]\n",
"['2018-11-25 20:00:09.493370', 12]\n",
"['2018-11-25 20:00:10.888474', 13]\n",
"['2018-11-25 20:01:10.888520', 10]\n",
"['2018-11-25 20:01:47.339750', 9]\n",
"['2018-11-25 20:02:05.141672', 8]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-25 20:03:42.829027', 7]\n",
"['2018-11-25 20:04:01.770491', 8]\n",
"['2018-11-25 20:05:22.839742', 6]\n",
"['2018-11-25 20:06:02.803354', 5]\n",
"['2018-11-25 20:08:25.871751', 3]\n",
"['2018-11-25 20:09:18.034806', 4]\n",
"['2018-11-25 20:12:13.276265', 3]\n",
"['2018-11-25 20:37:28.559666', 2]\n",
"['2018-11-25 20:37:42.749358', 3]\n",
"['2018-11-25 20:42:45.048446', 2]\n",
"['2018-11-25 20:44:32.980717', 3]\n",
"['2018-11-25 20:48:04.447586', 4]\n",
"['2018-11-25 20:51:49.622578', 5]\n",
"['2018-11-25 20:52:27.953632', 4]\n",
"['2018-11-25 20:53:05.751835', 5]\n",
"['2018-11-25 21:00:58.769214', 2]\n",
"['2018-11-25 21:32:37.535269', 3]\n",
"['2018-11-25 21:46:49.508322', 2]\n",
"['2018-11-25 21:51:39.435945', 3]\n",
"['2018-11-25 21:51:45.452736', 2]\n",
"['2018-11-25 21:53:27.541489', 3]\n",
"['2018-11-25 21:53:52.426385', 4]\n",
"['2018-11-25 21:54:07.655820', 5]\n",
"['2018-11-25 21:54:34.542388', 6]\n",
"['2018-11-25 21:55:17.620493', 7]\n",
"['2018-11-25 21:55:28.057876', 8]\n",
"['2018-11-25 21:57:25.715539', 9]\n",
"['2018-11-25 22:02:23.037508', 2]\n",
"['2018-11-25 22:02:25.777150', 3]\n",
"['2018-11-26 04:39:38.760464', 2]\n",
"['2018-11-26 04:44:54.314861', 3]\n",
"['2018-11-26 04:53:26.893312', 2]\n",
"['2018-11-26 06:00:46.746105', 3]\n",
"['2018-11-26 06:02:11.982158', 4]\n",
"['2018-11-26 06:02:25.012466', 5]\n",
"['2018-11-26 06:02:31.531218', 6]\n",
"['2018-11-26 06:02:40.240092', 7]\n",
"['2018-11-26 06:02:45.748156', 8]\n",
"['2018-11-26 06:03:09.965732', 9]\n",
"['2018-11-26 06:03:36.478135', 8]\n",
"['2018-11-26 06:05:12.675850', 9]\n",
"['2018-11-26 06:06:03.368651', 10]\n",
"['2018-11-26 06:07:07.885174', 9]\n",
"['2018-11-26 06:07:12.673975', 8]\n",
"['2018-11-26 06:08:18.308201', 6]\n",
"['2018-11-26 06:09:59.127051', 5]\n",
"['2018-11-26 06:11:08.429949', 4]\n",
"['2018-11-26 06:13:36.977048', 5]\n",
"['2018-11-26 06:14:07.604014', 6]\n",
"['2018-11-26 06:14:14.892747', 7]\n",
"['2018-11-26 06:14:20.320342', 8]\n",
"['2018-11-26 06:14:35.539013', 7]\n",
"['2018-11-26 06:15:15.276443', 8]\n",
"['2018-11-26 06:19:26.019050', 9]\n",
"['2018-11-26 06:20:35.346708', 10]\n",
"['2018-11-26 06:21:31.855935', 9]\n",
"['2018-11-26 06:22:32.297884', 8]\n",
"['2018-11-26 06:24:28.073424', 9]\n",
"['2018-11-26 06:24:59.978858', 8]\n",
"['2018-11-26 06:25:59.454231', 7]\n",
"['2018-11-26 06:26:03.231181', 8]\n",
"['2018-11-26 06:26:33.722984', 7]\n",
"['2018-11-26 06:33:23.522950', 6]\n",
"['2018-11-26 06:34:03.366762', 4]\n",
"['2018-11-26 06:34:35.231045', 5]\n",
"['2018-11-26 06:36:04.638604', 4]\n",
"['2018-11-26 06:41:38.049794', 3]\n",
"['2018-11-26 06:47:28.623304', 4]\n",
"['2018-11-26 06:48:01.696650', 3]\n",
"['2018-11-26 06:48:19.154189', 4]\n",
"['2018-11-26 06:50:03.266911', 5]\n",
"['2018-11-26 06:50:12.226762', 6]\n",
"['2018-11-26 06:50:45.000306', 5]\n",
"['2018-11-26 06:52:21.019052', 4]\n",
"['2018-11-26 06:53:53.371239', 3]\n",
"['2018-11-26 07:02:58.774629', 4]\n",
"['2018-11-26 07:03:38.608696', 5]\n",
"['2018-11-26 07:07:06.369898', 4]\n",
"['2018-11-26 07:07:15.544688', 5]\n",
"['2018-11-26 07:07:58.777784', 4]\n",
"['2018-11-26 07:08:56.072159', 5]\n",
"['2018-11-26 07:10:09.896416', 6]\n",
"['2018-11-26 07:11:38.066414', 7]\n",
"['2018-11-26 07:13:00.805320', 6]\n",
"['2018-11-26 07:13:33.037347', 7]\n",
"['2018-11-26 07:13:43.576406', 8]\n",
"['2018-11-26 07:13:55.046185', 9]\n",
"['2018-11-26 07:13:58.358798', 10]\n",
"['2018-11-26 07:14:23.230631', 11]\n",
"['2018-11-26 07:14:30.240485', 10]\n",
"['2018-11-26 07:14:48.638431', 11]\n",
"['2018-11-26 07:15:02.170355', 12]\n",
"['2018-11-26 07:15:04.021272', 13]\n",
"['2018-11-26 07:15:48.640962', 12]\n",
"['2018-11-26 07:15:53.012808', 13]\n",
"['2018-11-26 07:17:37.728360', 14]\n",
"['2018-11-26 07:18:07.998080', 13]\n",
"['2018-11-26 07:18:24.299502', 12]\n",
"['2018-11-26 07:18:25.292598', 11]\n",
"['2018-11-26 07:19:22.694937', 12]\n",
"['2018-11-26 07:19:59.746074', 11]\n",
"['2018-11-26 07:20:12.620103', 12]\n",
"['2018-11-26 07:20:18.038272', 13]\n",
"['2018-11-26 07:20:45.847229', 14]\n",
"['2018-11-26 07:21:31.255934', 13]\n",
"['2018-11-26 07:21:52.832093', 12]\n",
"['2018-11-26 07:22:00.883210', 13]\n",
"['2018-11-26 07:22:24.960937', 14]\n",
"['2018-11-26 07:22:48.236040', 15]\n",
"['2018-11-26 07:23:16.336176', 14]\n",
"['2018-11-26 07:24:18.098725', 10]\n",
"['2018-11-26 07:24:20.819982', 11]\n",
"['2018-11-26 07:29:55.824071', 2]\n",
"['2018-11-26 07:30:06.807682', 3]\n",
"['2018-11-26 07:36:20.125522', 2]\n",
"['2018-11-26 07:37:21.310988', 3]\n",
"['2018-11-26 07:38:16.327422', 4]\n",
"['2018-11-26 07:41:56.727716', 3]\n",
"['2018-11-26 07:45:14.082943', 2]\n",
"['2018-11-26 07:46:52.243453', 3]\n",
"['2018-11-26 07:53:25.094321', 2]\n",
"['2018-11-26 07:54:37.786057', 3]\n",
"['2018-11-26 07:57:36.082330', 4]\n",
"['2018-11-26 07:57:45.474334', 5]\n",
"['2018-11-26 07:58:57.281097', 6]\n",
"['2018-11-26 08:00:53.674815', 7]\n",
"['2018-11-26 08:00:59.457419', 8]\n",
"['2018-11-26 08:01:27.290793', 7]\n",
"['2018-11-26 08:01:44.443057', 8]\n",
"['2018-11-26 08:01:57.924106', 9]\n",
"['2018-11-26 08:02:09.835822', 10]\n",
"['2018-11-26 08:02:37.149247', 11]\n",
"['2018-11-26 08:04:39.407521', 10]\n",
"['2018-11-26 08:04:59.846589', 9]\n",
"['2018-11-26 08:06:15.789280', 10]\n",
"['2018-11-26 08:06:36.665894', 11]\n",
"['2018-11-26 08:06:53.241822', 12]\n",
"['2018-11-26 08:07:08.676041', 13]\n",
"['2018-11-26 08:07:10.083279', 14]\n",
"['2018-11-26 08:07:23.241511', 15]\n",
"['2018-11-26 08:07:33.797834', 14]\n",
"['2018-11-26 08:08:02.045286', 15]\n",
"['2018-11-26 08:08:25.658470', 14]\n",
"['2018-11-26 08:09:37.293943', 13]\n",
"['2018-11-26 08:10:17.179392', 14]\n",
"['2018-11-26 08:11:00.424073', 15]\n",
"['2018-11-26 08:11:54.994246', 16]\n",
"['2018-11-26 08:12:03.829994', 15]\n",
"['2018-11-26 08:12:29.073487', 14]\n",
"['2018-11-26 08:12:38.213371', 15]\n",
"['2018-11-26 08:13:01.479250', 14]\n",
"['2018-11-26 08:13:18.295327', 15]\n",
"['2018-11-26 08:13:35.174228', 16]\n",
"['2018-11-26 08:13:40.260225', 17]\n",
"['2018-11-26 08:13:42.729627', 18]\n",
"['2018-11-26 08:13:53.584418', 19]\n",
"['2018-11-26 08:14:54.493781', 20]\n",
"['2018-11-26 08:15:06.860879', 19]\n",
"['2018-11-26 08:15:46.543578', 18]\n",
"['2018-11-26 08:15:57.257576', 19]\n",
"['2018-11-26 08:16:34.614831', 20]\n",
"['2018-11-26 08:16:43.063457', 19]\n",
"['2018-11-26 08:16:50.248598', 20]\n",
"['2018-11-26 08:17:36.720997', 19]\n",
"['2018-11-26 08:17:37.231991', 20]\n",
"['2018-11-26 08:17:45.962913', 18]\n",
"['2018-11-26 08:17:55.071799', 17]\n",
"['2018-11-26 08:18:30.753428', 18]\n",
"['2018-11-26 08:19:03.766102', 19]\n",
"['2018-11-26 08:19:25.435226', 20]\n",
"['2018-11-26 08:19:41.555696', 19]\n",
"['2018-11-26 08:19:47.242095', 18]\n",
"['2018-11-26 08:20:01.246655', 17]\n",
"['2018-11-26 08:20:08.096207', 18]\n",
"['2018-11-26 08:20:13.770895', 17]\n",
"['2018-11-26 08:20:15.996072', 18]\n",
"['2018-11-26 08:20:30.874089', 17]\n",
"['2018-11-26 08:20:38.226923', 16]\n",
"['2018-11-26 08:20:57.097259', 15]\n",
"['2018-11-26 08:21:11.327607', 16]\n",
"['2018-11-26 08:21:55.682492', 15]\n",
"['2018-11-26 08:22:04.349608', 16]\n",
"['2018-11-26 08:22:22.988032', 17]\n",
"['2018-11-26 08:22:35.721831', 18]\n",
"['2018-11-26 08:22:53.197568', 19]\n",
"['2018-11-26 08:22:53.849244', 20]\n",
"['2018-11-26 08:23:03.856845', 19]\n",
"['2018-11-26 08:23:46.624660', 18]\n",
"['2018-11-26 08:23:56.670420', 17]\n",
"['2018-11-26 08:24:50.568524', 16]\n",
"['2018-11-26 08:25:22.566063', 15]\n",
"['2018-11-26 08:25:24.121239', 14]\n",
"['2018-11-26 08:26:17.259783', 11]\n",
"['2018-11-26 08:26:57.472266', 10]\n",
"['2018-11-26 08:27:27.150947', 9]\n",
"['2018-11-26 08:27:47.476377', 7]\n",
"['2018-11-26 08:28:49.601785', 5]\n",
"['2018-11-26 08:29:53.045186', 6]\n",
"['2018-11-26 08:30:14.786414', 7]\n",
"['2018-11-26 08:30:21.512221', 8]\n",
"['2018-11-26 08:30:29.023756', 9]\n",
"['2018-11-26 08:31:26.084473', 10]\n",
"['2018-11-26 08:32:49.983768', 11]\n",
"['2018-11-26 08:32:52.290193', 12]\n",
"['2018-11-26 08:33:13.981987', 13]\n",
"['2018-11-26 08:33:46.909965', 14]\n",
"['2018-11-26 08:33:49.905587', 15]\n",
"['2018-11-26 08:35:38.223049', 16]\n",
"['2018-11-26 08:36:30.361062', 15]\n",
"['2018-11-26 08:37:33.623818', 14]\n",
"['2018-11-26 08:37:33.920039', 15]\n",
"['2018-11-26 08:37:36.351529', 16]\n",
"['2018-11-26 08:39:40.259943', 15]\n",
"['2018-11-26 08:40:12.843236', 14]\n",
"['2018-11-26 08:41:53.116627', 13]\n",
"['2018-11-26 08:42:14.089621', 11]\n",
"['2018-11-26 08:42:32.804288', 10]\n",
"['2018-11-26 08:43:43.883951', 9]\n",
"['2018-11-26 08:43:51.392966', 8]\n",
"['2018-11-26 08:43:51.929101', 9]\n",
"['2018-11-26 08:44:19.904060', 8]\n",
"['2018-11-26 08:45:02.666979', 9]\n",
"['2018-11-26 08:46:17.380334', 8]\n",
"['2018-11-26 08:46:38.436497', 7]\n",
"['2018-11-26 08:47:54.986199', 6]\n",
"['2018-11-26 08:49:48.768178', 5]\n",
"['2018-11-26 08:49:53.946609', 4]\n",
"['2018-11-26 08:50:19.224432', 3]\n",
"['2018-11-26 08:52:11.647017', 4]\n",
"['2018-11-26 08:53:49.577001', 5]\n",
"['2018-11-26 08:54:16.331216', 6]\n",
"['2018-11-26 08:54:33.125113', 7]\n",
"['2018-11-26 08:55:14.742635', 8]\n",
"['2018-11-26 08:55:47.976325', 9]\n",
"['2018-11-26 08:56:13.111818', 8]\n",
"['2018-11-26 08:56:37.397471', 7]\n",
"['2018-11-26 08:57:07.476067', 6]\n",
"['2018-11-26 08:58:13.289102', 5]\n",
"['2018-11-26 08:58:42.179699', 4]\n",
"['2018-11-26 08:59:15.189071', 5]\n",
"['2018-11-26 09:01:47.199572', 4]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-26 09:02:34.640235', 5]\n",
"['2018-11-26 09:03:12.214788', 6]\n",
"['2018-11-26 09:03:52.104248', 7]\n",
"['2018-11-26 09:04:29.841486', 8]\n",
"['2018-11-26 09:04:52.487559', 9]\n",
"['2018-11-26 09:05:47.930141', 8]\n",
"['2018-11-26 09:06:34.776245', 7]\n",
"['2018-11-26 09:07:28.477279', 5]\n",
"['2018-11-26 09:08:23.583190', 4]\n",
"['2018-11-26 09:13:39.492418', 3]\n",
"['2018-11-26 09:14:15.816849', 4]\n",
"['2018-11-26 09:14:55.602263', 5]\n",
"['2018-11-26 09:22:00.704490', 4]\n",
"['2018-11-26 09:22:04.648529', 5]\n",
"['2018-11-26 09:22:43.060755', 6]\n",
"['2018-11-26 09:23:02.909153', 7]\n",
"['2018-11-26 09:23:48.766869', 6]\n",
"['2018-11-26 09:24:00.563381', 7]\n",
"['2018-11-26 09:24:22.386807', 8]\n",
"['2018-11-26 09:24:53.144594', 9]\n",
"['2018-11-26 09:25:34.827567', 10]\n",
"['2018-11-26 09:25:48.728030', 11]\n",
"['2018-11-26 09:25:56.552111', 12]\n",
"['2018-11-26 09:26:02.059028', 13]\n",
"['2018-11-26 09:26:43.258575', 12]\n",
"['2018-11-26 09:27:21.996004', 13]\n",
"['2018-11-26 09:27:43.205786', 12]\n",
"['2018-11-26 09:29:06.452117', 9]\n",
"['2018-11-26 09:29:10.188595', 10]\n",
"['2018-11-26 09:29:11.054440', 11]\n",
"['2018-11-26 09:29:17.955729', 12]\n",
"['2018-11-26 09:29:44.402329', 11]\n",
"['2018-11-26 09:29:57.299165', 12]\n",
"['2018-11-26 09:30:07.575501', 13]\n",
"['2018-11-26 09:30:20.667222', 14]\n",
"['2018-11-26 09:30:30.468270', 15]\n",
"['2018-11-26 09:30:53.691270', 14]\n",
"['2018-11-26 09:30:59.700146', 12]\n",
"['2018-11-26 09:31:39.642027', 11]\n",
"['2018-11-26 09:31:53.567016', 10]\n",
"['2018-11-26 09:31:58.252740', 11]\n",
"['2018-11-26 09:33:21.663147', 9]\n",
"['2018-11-26 09:34:02.734887', 8]\n",
"['2018-11-26 09:34:14.012337', 7]\n",
"['2018-11-26 09:35:35.585854', 6]\n",
"['2018-11-26 09:36:11.916182', 5]\n",
"['2018-11-26 09:36:39.441418', 6]\n",
"['2018-11-26 09:39:18.648540', 5]\n",
"['2018-11-26 09:40:36.798086', 6]\n",
"['2018-11-26 09:43:36.600332', 5]\n",
"['2018-11-26 09:45:40.645252', 3]\n",
"['2018-11-26 09:56:51.525056', 2]\n",
"['2018-11-26 10:04:46.496269', 3]\n",
"['2018-11-26 10:12:44.143579', 2]\n",
"['2018-11-26 10:12:45.331786', 3]\n",
"['2018-11-26 10:12:49.565044', 4]\n",
"['2018-11-26 10:12:50.782709', 5]\n",
"['2018-11-26 10:13:06.288459', 6]\n",
"['2018-11-26 10:13:07.499133', 7]\n",
"['2018-11-26 10:13:17.346646', 8]\n",
"['2018-11-26 10:13:29.891085', 9]\n",
"['2018-11-26 10:13:30.546280', 10]\n",
"['2018-11-26 10:13:33.031079', 11]\n",
"['2018-11-26 10:13:54.892843', 12]\n",
"['2018-11-26 10:14:11.977583', 13]\n",
"['2018-11-26 10:14:47.513066', 14]\n",
"['2018-11-26 10:14:57.318876', 15]\n",
"['2018-11-26 10:15:17.538032', 16]\n",
"['2018-11-26 10:18:06.722349', 13]\n",
"['2018-11-26 10:18:25.480679', 14]\n",
"['2018-11-26 10:19:15.353117', 12]\n",
"['2018-11-26 10:19:23.362516', 11]\n",
"['2018-11-26 10:19:48.352904', 10]\n",
"['2018-11-26 10:19:56.352856', 9]\n",
"['2018-11-26 10:20:01.848994', 7]\n",
"['2018-11-26 10:20:03.879084', 8]\n",
"['2018-11-26 10:20:08.289073', 6]\n",
"['2018-11-26 10:20:47.479099', 7]\n",
"['2018-11-26 10:20:55.092560', 8]\n",
"['2018-11-26 10:21:07.000348', 9]\n",
"['2018-11-26 10:21:15.568919', 10]\n",
"['2018-11-26 10:21:22.231829', 11]\n",
"['2018-11-26 10:21:49.987745', 12]\n",
"['2018-11-26 10:22:26.311989', 11]\n",
"['2018-11-26 10:22:29.496543', 12]\n",
"['2018-11-26 10:22:39.702394', 13]\n",
"['2018-11-26 10:22:42.562769', 14]\n",
"['2018-11-26 10:22:50.465847', 15]\n",
"['2018-11-26 10:23:25.846221', 16]\n",
"['2018-11-26 10:24:11.102175', 15]\n",
"['2018-11-26 10:25:18.177251', 14]\n",
"['2018-11-26 10:26:01.860991', 13]\n",
"['2018-11-26 10:26:15.033863', 14]\n",
"['2018-11-26 10:26:17.393769', 15]\n",
"['2018-11-26 10:26:20.862545', 13]\n",
"['2018-11-26 10:26:44.821416', 11]\n",
"['2018-11-26 10:27:34.986706', 12]\n",
"['2018-11-26 10:27:35.968331', 11]\n",
"['2018-11-26 10:27:44.829560', 10]\n",
"['2018-11-26 10:28:13.508227', 9]\n",
"['2018-11-26 10:29:15.075690', 8]\n",
"['2018-11-26 10:30:08.258572', 6]\n",
"['2018-11-26 10:30:54.511552', 7]\n",
"['2018-11-26 10:32:07.122324', 5]\n",
"['2018-11-26 10:34:08.262304', 4]\n",
"['2018-11-26 10:36:15.157545', 3]\n",
"['2018-11-26 10:38:38.886271', 4]\n",
"['2018-11-26 10:39:08.261661', 5]\n",
"['2018-11-26 10:41:15.213551', 6]\n",
"['2018-11-26 10:43:02.630072', 4]\n",
"['2018-11-26 10:47:56.939419', 5]\n",
"['2018-11-26 10:49:08.272769', 6]\n",
"['2018-11-26 10:50:54.513550', 5]\n",
"['2018-11-26 10:52:16.528924', 6]\n",
"['2018-11-26 10:53:37.062726', 5]\n",
"['2018-11-26 10:54:17.902878', 6]\n",
"['2018-11-26 10:54:49.044991', 7]\n",
"['2018-11-26 10:55:05.068283', 6]\n",
"['2018-11-26 10:55:08.338990', 7]\n",
"['2018-11-26 10:56:02.171102', 8]\n",
"['2018-11-26 10:56:10.786878', 7]\n",
"['2018-11-26 10:56:21.938085', 8]\n",
"['2018-11-26 10:56:33.025179', 9]\n",
"['2018-11-26 10:56:37.821779', 10]\n",
"['2018-11-26 10:56:55.088857', 9]\n",
"['2018-11-26 10:57:40.356173', 8]\n",
"['2018-11-26 10:57:53.887856', 9]\n",
"['2018-11-26 11:00:53.692169', 8]\n",
"['2018-11-26 11:01:08.477057', 9]\n",
"['2018-11-26 11:02:02.342492', 8]\n",
"['2018-11-26 11:04:20.296008', 4]\n",
"['2018-11-26 11:08:00.586142', 3]\n",
"['2018-11-26 11:08:21.122496', 2]\n",
"['2018-11-26 11:15:36.503505', 3]\n",
"['2018-11-26 11:18:03.507808', 4]\n",
"['2018-11-26 11:20:53.904654', 5]\n",
"['2018-11-26 11:22:01.866632', 6]\n",
"['2018-11-26 11:22:20.040779', 7]\n",
"['2018-11-26 11:22:25.636233', 8]\n",
"['2018-11-26 11:24:16.170824', 7]\n",
"['2018-11-26 11:24:30.050755', 8]\n",
"['2018-11-26 11:24:33.676719', 9]\n",
"['2018-11-26 11:26:18.072935', 10]\n",
"['2018-11-26 11:26:25.284587', 9]\n",
"['2018-11-26 11:27:19.098953', 10]\n",
"['2018-11-26 11:27:24.683060', 11]\n",
"['2018-11-26 11:27:29.683555', 12]\n",
"['2018-11-26 11:27:37.030775', 13]\n",
"['2018-11-26 11:27:44.693245', 12]\n",
"['2018-11-26 11:27:53.035815', 13]\n",
"['2018-11-26 11:27:53.158750', 14]\n",
"['2018-11-26 11:27:55.497968', 15]\n",
"['2018-11-26 11:28:10.965288', 16]\n",
"['2018-11-26 11:28:53.035314', 13]\n",
"['2018-11-26 11:29:29.784000', 14]\n",
"['2018-11-26 11:29:33.902061', 15]\n",
"['2018-11-26 11:29:58.003636', 16]\n",
"['2018-11-26 11:30:10.540006', 17]\n",
"['2018-11-26 11:30:38.167603', 18]\n",
"['2018-11-26 11:30:50.379625', 17]\n",
"['2018-11-26 11:30:54.421903', 16]\n",
"['2018-11-26 11:31:29.213525', 17]\n",
"['2018-11-26 11:31:29.732410', 18]\n",
"['2018-11-26 11:31:59.258853', 17]\n",
"['2018-11-26 11:32:11.744319', 16]\n",
"['2018-11-26 11:33:00.264982', 15]\n",
"['2018-11-26 11:33:07.677634', 16]\n",
"['2018-11-26 11:33:24.144315', 17]\n",
"['2018-11-26 11:33:34.437958', 16]\n",
"['2018-11-26 11:33:34.930020', 17]\n",
"['2018-11-26 11:33:42.771967', 18]\n",
"['2018-11-26 11:33:54.407867', 17]\n",
"['2018-11-26 11:33:57.385551', 18]\n",
"['2018-11-26 11:34:00.575817', 19]\n",
"['2018-11-26 11:34:12.206169', 17]\n",
"['2018-11-26 11:34:24.162864', 18]\n",
"['2018-11-26 11:34:30.662970', 19]\n",
"['2018-11-26 11:34:47.736712', 17]\n",
"['2018-11-26 11:35:25.033280', 16]\n",
"['2018-11-26 11:35:59.883428', 15]\n",
"['2018-11-26 11:36:25.100197', 14]\n",
"['2018-11-26 11:37:31.688696', 13]\n",
"['2018-11-26 11:37:39.535553', 12]\n",
"['2018-11-26 11:38:13.014054', 9]\n",
"['2018-11-26 11:38:41.229971', 6]\n",
"['2018-11-26 11:39:20.681193', 5]\n",
"['2018-11-26 11:42:31.993750', 4]\n",
"['2018-11-26 11:42:32.382528', 5]\n",
"['2018-11-26 11:44:34.299983', 4]\n",
"['2018-11-26 11:45:35.309938', 3]\n",
"['2018-11-26 11:46:36.863001', 2]\n",
"['2018-11-26 11:47:14.653059', 3]\n",
"['2018-11-26 11:55:07.211095', 2]\n",
"['2018-11-26 12:02:26.105530', 3]\n",
"['2018-11-26 12:04:33.540669', 4]\n",
"['2018-11-26 12:06:49.691762', 5]\n",
"['2018-11-26 12:06:51.685823', 6]\n",
"['2018-11-26 12:07:28.043449', 7]\n",
"['2018-11-26 12:09:02.329631', 6]\n",
"['2018-11-26 12:09:07.135688', 5]\n",
"['2018-11-26 12:09:38.477513', 4]\n",
"['2018-11-26 12:09:40.948871', 5]\n",
"['2018-11-26 12:11:02.497378', 6]\n",
"['2018-11-26 12:11:52.164750', 7]\n",
"['2018-11-26 12:12:08.156351', 8]\n",
"['2018-11-26 12:12:39.624204', 9]\n",
"['2018-11-26 12:13:02.810450', 10]\n",
"['2018-11-26 12:13:13.813485', 9]\n",
"['2018-11-26 12:13:17.235440', 10]\n",
"['2018-11-26 12:13:25.589057', 11]\n",
"['2018-11-26 12:13:29.455982', 12]\n",
"['2018-11-26 12:13:45.645774', 13]\n",
"['2018-11-26 12:13:46.064441', 14]\n",
"['2018-11-26 12:13:53.828381', 15]\n",
"['2018-11-26 12:14:20.967043', 16]\n",
"['2018-11-26 12:14:34.518365', 17]\n",
"['2018-11-26 12:14:50.430384', 18]\n",
"['2018-11-26 12:15:00.166613', 19]\n",
"['2018-11-26 12:15:01.408979', 20]\n",
"['2018-11-26 12:15:05.058024', 21]\n",
"['2018-11-26 12:15:05.246729', 22]\n",
"['2018-11-26 12:15:08.646412', 23]\n",
"['2018-11-26 12:15:28.447809', 22]\n",
"['2018-11-26 12:15:53.843531', 21]\n",
"['2018-11-26 12:16:07.269341', 22]\n",
"['2018-11-26 12:16:38.653993', 23]\n",
"['2018-11-26 12:16:40.147569', 24]\n",
"['2018-11-26 12:16:45.015366', 25]\n",
"['2018-11-26 12:17:02.907265', 24]\n",
"['2018-11-26 12:17:47.337500', 25]\n",
"['2018-11-26 12:18:06.799784', 26]\n",
"['2018-11-26 12:18:06.958626', 27]\n",
"['2018-11-26 12:18:16.788837', 28]\n",
"['2018-11-26 12:18:40.877540', 27]\n",
"['2018-11-26 12:19:04.584760', 26]\n",
"['2018-11-26 12:19:09.556636', 27]\n",
"['2018-11-26 12:19:37.118770', 26]\n",
"['2018-11-26 12:19:40.099989', 27]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-26 12:19:45.016475', 26]\n",
"['2018-11-26 12:19:49.998088', 24]\n",
"['2018-11-26 12:19:52.987585', 25]\n",
"['2018-11-26 12:20:02.805053', 24]\n",
"['2018-11-26 12:20:10.815833', 21]\n",
"['2018-11-26 12:20:34.285905', 22]\n",
"['2018-11-26 12:20:41.732595', 21]\n",
"['2018-11-26 12:20:52.986090', 19]\n",
"['2018-11-26 12:21:21.178948', 20]\n",
"['2018-11-26 12:21:36.893291', 19]\n",
"['2018-11-26 12:21:48.924893', 18]\n",
"['2018-11-26 12:21:49.756561', 17]\n",
"['2018-11-26 12:22:02.637027', 18]\n",
"['2018-11-26 12:22:03.751701', 19]\n",
"['2018-11-26 12:22:08.362065', 18]\n",
"['2018-11-26 12:23:48.113935', 16]\n",
"['2018-11-26 12:24:17.535692', 17]\n",
"['2018-11-26 12:25:05.944166', 16]\n",
"['2018-11-26 12:25:22.072401', 17]\n",
"['2018-11-26 12:25:24.097069', 16]\n",
"['2018-11-26 12:26:13.976852', 13]\n",
"['2018-11-26 12:26:29.566901', 12]\n",
"['2018-11-26 12:26:46.518797', 9]\n",
"['2018-11-26 12:27:15.154418', 7]\n",
"['2018-11-26 12:29:24.285495', 4]\n",
"['2018-11-26 12:30:57.172198', 5]\n",
"['2018-11-26 12:32:47.082910', 4]\n",
"['2018-11-26 12:33:32.669568', 5]\n",
"['2018-11-26 12:34:37.441676', 6]\n",
"['2018-11-26 12:35:08.537411', 5]\n",
"['2018-11-26 12:36:04.146998', 6]\n",
"['2018-11-26 12:39:04.716926', 5]\n",
"['2018-11-26 12:40:06.076031', 4]\n",
"['2018-11-26 12:43:13.556801', 5]\n",
"['2018-11-26 12:46:52.128575', 4]\n",
"['2018-11-26 12:49:40.360541', 5]\n",
"['2018-11-26 12:51:19.229362', 6]\n",
"['2018-11-26 12:51:38.254516', 7]\n",
"['2018-11-26 12:52:53.327497', 8]\n",
"['2018-11-26 12:53:00.271110', 9]\n",
"['2018-11-26 12:53:45.904261', 8]\n",
"['2018-11-26 12:54:34.785264', 7]\n",
"['2018-11-26 12:54:55.411402', 6]\n",
"['2018-11-26 12:55:41.011312', 7]\n",
"['2018-11-26 12:56:03.000930', 8]\n",
"['2018-11-26 12:56:14.894768', 9]\n",
"['2018-11-26 12:56:29.610531', 10]\n",
"['2018-11-26 12:57:26.334294', 9]\n",
"['2018-11-26 12:57:53.815032', 8]\n",
"['2018-11-26 12:58:54.373014', 9]\n",
"['2018-11-26 12:59:33.279243', 10]\n",
"['2018-11-26 12:59:47.646939', 9]\n",
"['2018-11-26 13:00:14.377110', 10]\n",
"['2018-11-26 13:00:17.325264', 9]\n",
"['2018-11-26 13:00:29.631283', 8]\n",
"['2018-11-26 13:00:49.922872', 9]\n",
"['2018-11-26 13:01:25.780108', 10]\n",
"['2018-11-26 13:01:37.179015', 11]\n",
"['2018-11-26 13:02:05.219158', 10]\n",
"['2018-11-26 13:02:55.934535', 9]\n",
"['2018-11-26 13:04:10.456174', 10]\n",
"['2018-11-26 13:05:40.822025', 9]\n",
"['2018-11-26 13:08:06.039803', 10]\n",
"['2018-11-26 13:08:11.371558', 9]\n",
"['2018-11-26 13:09:09.153190', 10]\n",
"['2018-11-26 13:09:16.747548', 11]\n",
"['2018-11-26 13:10:02.536193', 12]\n",
"['2018-11-26 13:12:45.216994', 13]\n",
"['2018-11-26 13:13:43.554988', 12]\n",
"['2018-11-26 13:14:01.616558', 13]\n",
"['2018-11-26 13:17:04.834604', 14]\n",
"['2018-11-26 13:17:08.404898', 13]\n",
"['2018-11-26 13:17:24.640893', 14]\n",
"['2018-11-26 13:17:46.768122', 15]\n",
"['2018-11-26 13:17:52.866292', 14]\n",
"['2018-11-26 13:17:59.350739', 15]\n",
"['2018-11-26 13:20:01.247633', 16]\n",
"['2018-11-26 13:21:13.790811', 15]\n",
"['2018-11-26 13:22:00.713612', 14]\n",
"['2018-11-26 13:22:06.351151', 15]\n",
"['2018-11-26 13:22:25.159664', 14]\n",
"['2018-11-26 13:22:43.865438', 15]\n",
"['2018-11-26 13:22:51.777326', 16]\n",
"['2018-11-26 13:23:33.165082', 17]\n",
"['2018-11-26 13:23:35.702462', 18]\n",
"['2018-11-26 13:23:54.765377', 19]\n",
"['2018-11-26 13:24:02.918572', 18]\n",
"['2018-11-26 13:25:02.843954', 19]\n",
"['2018-11-26 13:25:11.537199', 20]\n",
"['2018-11-26 13:25:34.782227', 19]\n",
"['2018-11-26 13:25:41.138893', 20]\n",
"['2018-11-26 13:26:01.659846', 21]\n",
"['2018-11-26 13:26:45.260854', 22]\n",
"['2018-11-26 13:26:48.062498', 23]\n",
"['2018-11-26 13:27:31.486133', 22]\n",
"['2018-11-26 13:27:53.732328', 23]\n",
"['2018-11-26 13:28:14.676232', 22]\n",
"['2018-11-26 13:28:33.870554', 21]\n",
"['2018-11-26 13:28:50.094856', 20]\n",
"['2018-11-26 13:28:51.385878', 21]\n",
"['2018-11-26 13:29:03.897207', 20]\n",
"['2018-11-26 13:29:10.920563', 19]\n",
"['2018-11-26 13:29:13.395327', 20]\n",
"['2018-11-26 13:29:44.364377', 19]\n",
"['2018-11-26 13:29:47.419614', 20]\n",
"['2018-11-26 13:30:01.428348', 21]\n",
"['2018-11-26 13:30:03.990979', 20]\n",
"['2018-11-26 13:30:28.282163', 21]\n",
"['2018-11-26 13:30:34.956711', 20]\n",
"['2018-11-26 13:30:39.959488', 19]\n",
"['2018-11-26 13:30:45.882342', 18]\n",
"['2018-11-26 13:30:58.851437', 17]\n",
"['2018-11-26 13:31:07.077851', 18]\n",
"['2018-11-26 13:31:09.689660', 19]\n",
"['2018-11-26 13:31:10.385377', 20]\n",
"['2018-11-26 13:31:24.264579', 21]\n",
"['2018-11-26 13:31:39.553294', 20]\n",
"['2018-11-26 13:31:51.392564', 19]\n",
"['2018-11-26 13:32:15.363934', 18]\n",
"['2018-11-26 13:32:59.883690', 19]\n",
"['2018-11-26 13:33:09.267432', 20]\n",
"['2018-11-26 13:33:14.943939', 21]\n",
"['2018-11-26 13:33:26.478445', 22]\n",
"['2018-11-26 13:33:41.085718', 23]\n",
"['2018-11-26 13:33:44.663543', 24]\n",
"['2018-11-26 13:33:53.643009', 23]\n",
"['2018-11-26 13:34:01.568586', 24]\n",
"['2018-11-26 13:34:06.029117', 23]\n",
"['2018-11-26 13:34:12.681457', 24]\n",
"['2018-11-26 13:34:25.351295', 25]\n",
"['2018-11-26 13:34:39.890329', 26]\n",
"['2018-11-26 13:34:48.034555', 27]\n",
"['2018-11-26 13:35:08.965913', 26]\n",
"['2018-11-26 13:35:12.476304', 25]\n",
"['2018-11-26 13:35:25.373806', 24]\n",
"['2018-11-26 13:35:42.030263', 25]\n",
"['2018-11-26 13:35:46.337623', 26]\n",
"['2018-11-26 13:35:58.474256', 27]\n",
"['2018-11-26 13:36:09.837873', 26]\n",
"['2018-11-26 13:36:15.355947', 27]\n",
"['2018-11-26 13:36:20.044643', 28]\n",
"['2018-11-26 13:36:20.872396', 29]\n",
"['2018-11-26 13:37:00.588187', 28]\n",
"['2018-11-26 13:37:09.820044', 27]\n",
"['2018-11-26 13:37:20.822079', 26]\n",
"['2018-11-26 13:38:02.481775', 25]\n",
"['2018-11-26 13:38:08.779473', 24]\n",
"['2018-11-26 13:38:20.240585', 23]\n",
"['2018-11-26 13:38:26.163856', 22]\n",
"['2018-11-26 13:39:24.792835', 21]\n",
"['2018-11-26 13:39:46.292344', 22]\n",
"['2018-11-26 13:39:47.226198', 23]\n",
"['2018-11-26 13:40:02.877605', 22]\n",
"['2018-11-26 13:40:15.375136', 21]\n",
"['2018-11-26 13:40:15.448258', 22]\n",
"['2018-11-26 13:40:26.848505', 23]\n",
"['2018-11-26 13:40:31.019510', 24]\n",
"['2018-11-26 13:40:35.418065', 25]\n",
"['2018-11-26 13:40:49.763085', 26]\n",
"['2018-11-26 13:40:52.681975', 25]\n",
"['2018-11-26 13:40:52.799802', 26]\n",
"['2018-11-26 13:41:07.513070', 27]\n",
"['2018-11-26 13:41:13.252882', 25]\n",
"['2018-11-26 13:41:20.404220', 26]\n",
"['2018-11-26 13:41:31.720879', 24]\n",
"['2018-11-26 13:41:38.021739', 25]\n",
"['2018-11-26 13:41:54.377608', 26]\n",
"['2018-11-26 13:42:01.343205', 27]\n",
"['2018-11-26 13:42:06.633468', 28]\n",
"['2018-11-26 13:42:14.065448', 29]\n",
"['2018-11-26 13:42:14.687784', 30]\n",
"['2018-11-26 13:42:18.897194', 31]\n",
"['2018-11-26 13:42:21.193917', 30]\n",
"['2018-11-26 13:42:31.333202', 31]\n",
"['2018-11-26 13:42:43.983583', 32]\n",
"['2018-11-26 13:43:13.222015', 31]\n",
"['2018-11-26 13:43:29.227724', 30]\n",
"['2018-11-26 13:43:50.701900', 31]\n",
"['2018-11-26 13:45:08.925182', 32]\n",
"['2018-11-26 13:45:13.962977', 31]\n",
"['2018-11-26 13:45:32.788767', 29]\n",
"['2018-11-26 13:45:51.215043', 28]\n",
"['2018-11-26 13:45:54.601767', 27]\n",
"['2018-11-26 13:45:59.736800', 25]\n",
"['2018-11-26 13:46:08.941078', 24]\n",
"['2018-11-26 13:46:21.560483', 20]\n",
"['2018-11-26 13:46:25.452554', 21]\n",
"['2018-11-26 13:46:38.539046', 20]\n",
"['2018-11-26 13:46:51.812729', 19]\n",
"['2018-11-26 13:46:59.432315', 18]\n",
"['2018-11-26 13:47:04.080250', 19]\n",
"['2018-11-26 13:47:10.223660', 20]\n",
"['2018-11-26 13:47:10.643909', 21]\n",
"['2018-11-26 13:47:28.697429', 22]\n",
"['2018-11-26 13:47:40.520425', 20]\n",
"['2018-11-26 13:49:55.395793', 21]\n",
"['2018-11-26 13:50:47.511756', 22]\n",
"['2018-11-26 13:51:01.408474', 21]\n",
"['2018-11-26 13:51:41.695494', 20]\n",
"['2018-11-26 13:51:44.579308', 19]\n",
"['2018-11-26 13:53:02.604233', 18]\n",
"['2018-11-26 13:53:46.890990', 19]\n",
"['2018-11-26 13:53:49.982169', 18]\n",
"['2018-11-26 13:53:57.415149', 16]\n",
"['2018-11-26 13:54:45.976018', 14]\n",
"['2018-11-26 13:54:50.378425', 13]\n",
"['2018-11-26 13:54:52.758607', 14]\n",
"['2018-11-26 13:55:43.769453', 13]\n",
"['2018-11-26 13:55:52.050944', 12]\n",
"['2018-11-26 13:55:54.412010', 13]\n",
"['2018-11-26 13:56:21.824637', 14]\n",
"['2018-11-26 13:56:43.605823', 15]\n",
"['2018-11-26 13:57:07.680085', 14]\n",
"['2018-11-26 13:57:21.822634', 13]\n",
"['2018-11-26 13:58:03.872693', 12]\n",
"['2018-11-26 13:58:55.350800', 11]\n",
"['2018-11-26 13:59:03.735352', 12]\n",
"['2018-11-26 13:59:47.939548', 13]\n",
"['2018-11-26 13:59:56.275642', 12]\n",
"['2018-11-26 14:00:56.105865', 11]\n",
"['2018-11-26 14:01:26.220433', 10]\n",
"['2018-11-26 14:03:04.456503', 8]\n",
"['2018-11-26 14:03:43.031303', 7]\n",
"['2018-11-26 14:04:21.158837', 6]\n",
"['2018-11-26 14:04:51.388965', 5]\n",
"['2018-11-26 14:10:26.799778', 2]\n",
"['2018-11-26 14:13:54.578671', 3]\n",
"['2018-11-26 14:18:11.058466', 2]\n",
"['2018-11-26 14:20:34.404811', 3]\n",
"['2018-11-26 14:20:45.505813', 4]\n",
"['2018-11-26 14:20:53.709517', 5]\n",
"['2018-11-26 14:20:55.226949', 6]\n",
"['2018-11-26 14:21:33.477326', 7]\n",
"['2018-11-26 14:24:30.359288', 8]\n",
"['2018-11-26 14:24:51.919108', 9]\n",
"['2018-11-26 14:25:08.076579', 8]\n",
"['2018-11-26 14:25:08.161087', 9]\n",
"['2018-11-26 14:25:09.132389', 10]\n",
"['2018-11-26 14:25:13.284533', 11]\n",
"['2018-11-26 14:25:16.564333', 12]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-26 14:25:29.284706', 11]\n",
"['2018-11-26 14:27:02.282229', 10]\n",
"['2018-11-26 14:27:27.749028', 11]\n",
"['2018-11-26 14:27:31.476050', 12]\n",
"['2018-11-26 14:27:43.849065', 13]\n",
"['2018-11-26 14:27:59.762343', 14]\n",
"['2018-11-26 14:28:03.270492', 15]\n",
"['2018-11-26 14:28:13.056653', 16]\n",
"['2018-11-26 14:28:29.541778', 17]\n",
"['2018-11-26 14:28:31.928041', 16]\n",
"['2018-11-26 14:28:47.496913', 17]\n",
"['2018-11-26 14:28:51.612098', 18]\n",
"['2018-11-26 14:28:52.242279', 17]\n",
"['2018-11-26 14:30:17.623482', 14]\n",
"['2018-11-26 14:31:28.304302', 13]\n",
"['2018-11-26 14:31:54.700490', 12]\n",
"['2018-11-26 14:31:59.853918', 11]\n",
"['2018-11-26 14:32:23.032023', 10]\n",
"['2018-11-26 14:32:32.869482', 9]\n",
"['2018-11-26 14:32:55.216033', 7]\n",
"['2018-11-26 14:33:17.832135', 6]\n",
"['2018-11-26 14:33:47.896919', 7]\n",
"['2018-11-26 14:35:08.975934', 6]\n",
"['2018-11-26 14:35:11.907971', 7]\n",
"['2018-11-26 14:37:01.028265', 6]\n",
"['2018-11-26 14:37:14.225810', 7]\n",
"['2018-11-26 14:38:33.166583', 8]\n",
"['2018-11-26 14:38:40.118587', 9]\n",
"['2018-11-26 14:40:31.075040', 7]\n",
"['2018-11-26 14:40:59.316147', 8]\n",
"['2018-11-26 14:41:40.160653', 7]\n",
"['2018-11-26 14:41:45.075009', 8]\n",
"['2018-11-26 14:44:30.701044', 9]\n",
"['2018-11-26 14:45:01.871757', 8]\n",
"['2018-11-26 14:47:24.028140', 7]\n",
"['2018-11-26 14:52:18.219958', 5]\n",
"['2018-11-26 14:53:54.296959', 3]\n",
"['2018-11-26 14:54:16.341680', 4]\n",
"['2018-11-26 14:58:07.572456', 3]\n",
"['2018-11-26 15:01:39.197012', 4]\n",
"['2018-11-26 15:02:29.227277', 3]\n",
"['2018-11-26 15:03:59.757490', 4]\n",
"['2018-11-26 15:04:03.842588', 5]\n",
"['2018-11-26 15:04:37.611695', 6]\n",
"['2018-11-26 15:04:43.058351', 7]\n",
"['2018-11-26 15:04:55.412845', 8]\n",
"['2018-11-26 15:05:45.281827', 9]\n",
"['2018-11-26 15:05:57.633039', 10]\n",
"['2018-11-26 15:06:32.606295', 9]\n",
"['2018-11-26 15:08:44.918139', 8]\n",
"['2018-11-26 15:09:57.361913', 9]\n",
"['2018-11-26 15:12:49.763233', 10]\n",
"['2018-11-26 15:14:08.446406', 11]\n",
"['2018-11-26 15:15:49.662245', 10]\n",
"['2018-11-26 15:17:00.600476', 9]\n",
"['2018-11-26 15:17:57.011271', 8]\n",
"['2018-11-26 15:18:15.004382', 7]\n",
"['2018-11-26 15:20:58.461233', 8]\n",
"['2018-11-26 15:21:09.157046', 9]\n",
"['2018-11-26 15:22:08.424551', 10]\n",
"['2018-11-26 15:23:43.473123', 11]\n",
"['2018-11-26 15:24:22.356353', 12]\n",
"['2018-11-26 15:26:07.918938', 13]\n",
"['2018-11-26 15:26:08.965867', 14]\n",
"['2018-11-26 15:26:50.482971', 15]\n",
"['2018-11-26 15:27:15.067187', 16]\n",
"['2018-11-26 15:27:52.815428', 17]\n",
"['2018-11-26 15:28:25.070637', 18]\n",
"['2018-11-26 15:28:41.808674', 17]\n",
"['2018-11-26 15:29:04.744089', 15]\n",
"['2018-11-26 15:29:20.128422', 16]\n",
"['2018-11-26 15:29:22.646500', 17]\n",
"['2018-11-26 15:29:31.711803', 18]\n",
"['2018-11-26 15:30:09.599154', 17]\n",
"['2018-11-26 15:30:11.937041', 18]\n",
"['2018-11-26 15:31:11.403075', 17]\n",
"['2018-11-26 15:31:13.458042', 16]\n",
"['2018-11-26 15:31:54.203131', 15]\n",
"['2018-11-26 15:32:08.366922', 14]\n",
"['2018-11-26 15:32:12.462310', 13]\n",
"['2018-11-26 15:32:26.696978', 12]\n",
"['2018-11-26 15:33:21.543430', 13]\n",
"['2018-11-26 15:33:35.232639', 12]\n",
"['2018-11-26 15:33:49.538414', 13]\n",
"['2018-11-26 15:34:12.232167', 12]\n",
"['2018-11-26 15:34:28.243850', 10]\n",
"['2018-11-26 15:36:21.736869', 9]\n",
"['2018-11-26 15:36:26.196433', 10]\n",
"['2018-11-26 15:36:38.165308', 9]\n",
"['2018-11-26 15:37:10.357229', 8]\n",
"['2018-11-26 15:37:38.493160', 7]\n",
"['2018-11-26 15:38:06.534903', 6]\n",
"['2018-11-26 15:39:06.855997', 5]\n",
"['2018-11-26 15:40:11.810823', 6]\n",
"['2018-11-26 15:44:23.832139', 4]\n",
"['2018-11-26 15:44:42.776770', 3]\n",
"['2018-11-26 15:46:59.579490', 4]\n",
"['2018-11-26 15:47:25.897636', 5]\n",
"['2018-11-26 15:47:30.939009', 6]\n",
"['2018-11-26 15:52:30.361113', 3]\n",
"['2018-11-26 15:53:17.822518', 4]\n",
"['2018-11-26 15:53:34.139025', 5]\n",
"['2018-11-26 15:54:13.505418', 4]\n",
"['2018-11-26 15:55:41.341656', 5]\n",
"['2018-11-26 15:59:16.567657', 6]\n",
"['2018-11-26 15:59:53.356764', 5]\n",
"['2018-11-26 16:00:31.725066', 6]\n",
"['2018-11-26 16:01:24.674237', 5]\n",
"['2018-11-26 16:04:31.792921', 4]\n",
"['2018-11-26 16:07:36.496718', 5]\n",
"['2018-11-26 16:10:27.406635', 6]\n",
"['2018-11-26 16:12:14.421314', 7]\n",
"['2018-11-26 16:13:29.627287', 8]\n",
"['2018-11-26 16:13:37.463664', 9]\n",
"['2018-11-26 16:13:46.406379', 10]\n",
"['2018-11-26 16:13:55.865857', 11]\n",
"['2018-11-26 16:13:59.592935', 12]\n",
"['2018-11-26 16:14:01.346483', 13]\n",
"['2018-11-26 16:14:35.266238', 14]\n",
"['2018-11-26 16:14:55.213279', 15]\n",
"['2018-11-26 16:16:33.469059', 13]\n",
"['2018-11-26 16:19:03.753815', 12]\n",
"['2018-11-26 16:19:21.492118', 11]\n",
"['2018-11-26 16:19:34.095153', 10]\n",
"['2018-11-26 16:19:42.164959', 9]\n",
"['2018-11-26 16:19:47.526665', 10]\n",
"['2018-11-26 16:19:48.722168', 11]\n",
"['2018-11-26 16:19:50.704231', 12]\n",
"['2018-11-26 16:20:47.689732', 13]\n",
"['2018-11-26 16:21:15.446642', 14]\n",
"['2018-11-26 16:22:01.168121', 15]\n",
"['2018-11-26 16:22:41.193994', 14]\n",
"['2018-11-26 16:23:02.388888', 15]\n",
"['2018-11-26 16:23:14.392676', 16]\n",
"['2018-11-26 16:23:18.257289', 17]\n",
"['2018-11-26 16:23:55.617098', 15]\n",
"['2018-11-26 16:24:47.085168', 16]\n",
"['2018-11-26 16:25:28.791751', 14]\n",
"['2018-11-26 16:26:42.127459', 10]\n",
"['2018-11-26 16:26:43.407943', 11]\n",
"['2018-11-26 16:26:49.625171', 12]\n",
"['2018-11-26 16:27:43.892053', 9]\n",
"['2018-11-26 16:27:48.809960', 8]\n",
"['2018-11-26 16:28:12.345685', 7]\n",
"['2018-11-26 16:28:16.383506', 8]\n",
"['2018-11-26 16:28:49.683463', 6]\n",
"['2018-11-26 16:30:52.549569', 4]\n",
"['2018-11-26 16:31:02.789545', 5]\n",
"['2018-11-26 16:34:49.409435', 6]\n",
"['2018-11-26 16:38:31.014628', 7]\n",
"['2018-11-26 16:38:48.199843', 6]\n",
"['2018-11-26 16:39:25.937340', 5]\n",
"['2018-11-26 16:42:42.188853', 4]\n",
"['2018-11-26 16:43:12.539021', 3]\n",
"['2018-11-26 16:44:29.169589', 2]\n",
"['2018-11-26 16:52:51.899234', 3]\n",
"['2018-11-26 16:53:41.609540', 4]\n",
"['2018-11-26 16:54:02.457450', 5]\n",
"['2018-11-26 16:54:51.200468', 6]\n",
"['2018-11-26 16:59:27.730089', 7]\n",
"['2018-11-26 17:01:47.942657', 6]\n",
"['2018-11-26 17:02:32.644747', 5]\n",
"['2018-11-26 17:04:18.373823', 6]\n",
"['2018-11-26 17:06:45.567904', 7]\n",
"['2018-11-26 17:11:42.858253', 8]\n",
"['2018-11-26 17:12:22.057886', 9]\n",
"['2018-11-26 17:12:55.583157', 10]\n",
"['2018-11-26 17:13:09.448176', 9]\n",
"['2018-11-26 17:13:22.019145', 10]\n",
"['2018-11-26 17:15:40.012970', 11]\n",
"['2018-11-26 17:16:47.013245', 10]\n",
"['2018-11-26 17:17:02.978092', 9]\n",
"['2018-11-26 17:17:22.722535', 8]\n",
"['2018-11-26 17:17:54.004283', 9]\n",
"['2018-11-26 17:18:46.798423', 10]\n",
"['2018-11-26 17:20:07.468584', 9]\n",
"['2018-11-26 17:20:43.400378', 10]\n",
"['2018-11-26 17:21:28.990073', 11]\n",
"['2018-11-26 17:22:52.459680', 10]\n",
"['2018-11-26 17:23:12.340879', 9]\n",
"['2018-11-26 17:23:44.133882', 10]\n",
"['2018-11-26 17:24:03.399498', 11]\n",
"['2018-11-26 17:24:10.953782', 10]\n",
"['2018-11-26 17:24:24.173909', 9]\n",
"['2018-11-26 17:24:25.486696', 10]\n",
"['2018-11-26 17:24:54.204494', 9]\n",
"['2018-11-26 17:25:14.603539', 10]\n",
"['2018-11-26 17:25:20.466988', 11]\n",
"['2018-11-26 17:25:37.774874', 12]\n",
"['2018-11-26 17:25:52.129183', 13]\n",
"['2018-11-26 17:25:53.227562', 14]\n",
"['2018-11-26 17:25:59.622604', 15]\n",
"['2018-11-26 17:26:08.639112', 16]\n",
"['2018-11-26 17:26:54.314013', 15]\n",
"['2018-11-26 17:28:06.312632', 14]\n",
"['2018-11-26 17:28:09.429994', 15]\n",
"['2018-11-26 17:28:17.714375', 16]\n",
"['2018-11-26 17:28:55.178721', 15]\n",
"['2018-11-26 17:28:55.555772', 16]\n",
"['2018-11-26 17:29:07.452818', 15]\n",
"['2018-11-26 17:29:18.628659', 14]\n",
"['2018-11-26 17:29:52.482479', 13]\n",
"['2018-11-26 17:30:10.360564', 12]\n",
"['2018-11-26 17:30:14.133738', 13]\n",
"['2018-11-26 17:30:20.712711', 14]\n",
"['2018-11-26 17:30:25.185505', 15]\n",
"['2018-11-26 17:30:45.480882', 14]\n",
"['2018-11-26 17:30:48.868603', 15]\n",
"['2018-11-26 17:30:51.433247', 16]\n",
"['2018-11-26 17:30:55.200217', 17]\n",
"['2018-11-26 17:31:09.646967', 18]\n",
"['2018-11-26 17:31:13.273158', 19]\n",
"['2018-11-26 17:31:32.110927', 20]\n",
"['2018-11-26 17:31:37.842269', 19]\n",
"['2018-11-26 17:31:39.705887', 20]\n",
"['2018-11-26 17:31:45.719667', 21]\n",
"['2018-11-26 17:31:47.638801', 22]\n",
"['2018-11-26 17:32:10.240173', 21]\n",
"['2018-11-26 17:32:18.564597', 20]\n",
"['2018-11-26 17:32:56.089335', 19]\n",
"['2018-11-26 17:33:02.052082', 20]\n",
"['2018-11-26 17:33:58.606003', 19]\n",
"['2018-11-26 17:34:18.202364', 18]\n",
"['2018-11-26 17:34:29.456691', 19]\n",
"['2018-11-26 17:35:25.495170', 18]\n",
"['2018-11-26 17:35:54.393301', 19]\n",
"['2018-11-26 17:36:10.902870', 18]\n",
"['2018-11-26 17:36:16.460804', 19]\n",
"['2018-11-26 17:36:16.557952', 20]\n",
"['2018-11-26 17:36:36.468662', 19]\n",
"['2018-11-26 17:36:36.896054', 18]\n",
"['2018-11-26 17:36:45.760918', 17]\n",
"['2018-11-26 17:36:56.486751', 16]\n",
"['2018-11-26 17:37:03.127622', 15]\n",
"['2018-11-26 17:37:06.933459', 14]\n",
"['2018-11-26 17:37:31.624500', 11]\n",
"['2018-11-26 17:38:34.384098', 9]\n",
"['2018-11-26 17:40:02.302582', 8]\n",
"['2018-11-26 17:40:13.958328', 9]\n",
"['2018-11-26 17:40:14.551393', 10]\n",
"['2018-11-26 17:46:28.346785', 2]\n",
"['2018-11-26 17:48:43.335953', 3]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-26 18:01:24.096415', 2]\n",
"['2018-11-26 18:03:29.064194', 3]\n",
"['2018-11-26 18:08:26.440229', 4]\n",
"['2018-11-26 18:08:35.745797', 5]\n",
"['2018-11-26 18:10:25.033728', 6]\n",
"['2018-11-26 18:11:25.877110', 5]\n",
"['2018-11-26 18:12:13.106242', 6]\n",
"['2018-11-26 18:12:49.905359', 7]\n",
"['2018-11-26 18:13:31.192034', 8]\n",
"['2018-11-26 18:13:34.077057', 9]\n",
"['2018-11-26 18:13:43.829846', 10]\n",
"['2018-11-26 18:13:54.972905', 11]\n",
"['2018-11-26 18:14:01.332090', 12]\n",
"['2018-11-26 18:14:06.518042', 13]\n",
"['2018-11-26 18:14:08.161587', 14]\n",
"['2018-11-26 18:14:53.873278', 15]\n",
"['2018-11-26 18:14:58.210567', 16]\n",
"['2018-11-26 18:15:26.313347', 17]\n",
"['2018-11-26 18:15:26.424544', 18]\n",
"['2018-11-26 18:15:32.987615', 19]\n",
"['2018-11-26 18:16:01.710873', 20]\n",
"['2018-11-26 18:16:20.692275', 21]\n",
"['2018-11-26 18:16:34.534253', 22]\n",
"['2018-11-26 18:17:00.237128', 21]\n",
"['2018-11-26 18:17:34.461833', 19]\n",
"['2018-11-26 18:17:54.683300', 18]\n",
"['2018-11-26 18:18:10.000570', 19]\n",
"['2018-11-26 18:18:11.924564', 20]\n",
"['2018-11-26 18:18:16.564629', 19]\n",
"['2018-11-26 18:18:20.956612', 18]\n",
"['2018-11-26 18:18:43.636939', 19]\n",
"['2018-11-26 18:18:54.513010', 18]\n",
"['2018-11-26 18:19:11.483136', 16]\n",
"['2018-11-26 18:19:24.787809', 17]\n",
"['2018-11-26 18:19:28.626583', 15]\n",
"['2018-11-26 18:19:30.386000', 16]\n",
"['2018-11-26 18:19:33.170052', 15]\n",
"['2018-11-26 18:19:53.152654', 16]\n",
"['2018-11-26 18:20:03.848409', 14]\n",
"['2018-11-26 18:20:07.155954', 13]\n",
"['2018-11-26 18:20:17.149342', 12]\n",
"['2018-11-26 18:20:21.590675', 11]\n",
"['2018-11-26 18:20:39.664261', 10]\n",
"['2018-11-26 18:20:52.662570', 11]\n",
"['2018-11-26 18:21:11.042830', 12]\n",
"['2018-11-26 18:21:23.668019', 13]\n",
"['2018-11-26 18:21:29.249455', 14]\n",
"['2018-11-26 18:21:45.940449', 15]\n",
"['2018-11-26 18:22:03.451917', 14]\n",
"['2018-11-26 18:23:02.066900', 13]\n",
"['2018-11-26 18:23:12.600038', 12]\n",
"['2018-11-26 18:23:31.591325', 13]\n",
"['2018-11-26 18:24:02.372238', 14]\n",
"['2018-11-26 18:24:23.970849', 13]\n",
"['2018-11-26 18:24:31.923558', 11]\n",
"['2018-11-26 18:24:55.498144', 10]\n",
"['2018-11-26 18:25:25.581184', 8]\n",
"['2018-11-26 18:26:27.178142', 6]\n",
"['2018-11-26 18:26:39.739455', 7]\n",
"['2018-11-26 18:29:39.323694', 8]\n",
"['2018-11-26 18:29:46.247383', 9]\n",
"['2018-11-26 18:29:56.252990', 8]\n",
"['2018-11-26 18:31:40.871033', 9]\n",
"['2018-11-26 18:32:59.787254', 8]\n",
"['2018-11-26 18:33:06.794662', 9]\n",
"['2018-11-26 18:33:41.100554', 8]\n",
"['2018-11-26 18:34:00.709543', 7]\n",
"['2018-11-26 18:34:23.377321', 8]\n",
"['2018-11-26 18:35:42.038420', 7]\n",
"['2018-11-26 18:37:16.715315', 8]\n",
"['2018-11-26 18:38:30.611391', 7]\n",
"['2018-11-26 18:40:50.061901', 6]\n",
"['2018-11-26 18:43:15.701926', 5]\n",
"['2018-11-26 18:50:19.268418', 2]\n",
"['2018-11-26 18:50:52.887571', 3]\n",
"['2018-11-26 18:52:58.549583', 4]\n",
"['2018-11-26 18:53:12.800758', 5]\n",
"['2018-11-26 18:55:02.695515', 4]\n",
"['2018-11-26 18:55:07.631958', 5]\n",
"['2018-11-26 18:55:36.451283', 6]\n",
"['2018-11-26 18:56:12.168087', 7]\n",
"['2018-11-26 18:57:29.331427', 6]\n",
"['2018-11-26 19:01:53.888133', 5]\n",
"['2018-11-26 19:03:27.619603', 4]\n",
"['2018-11-26 19:05:12.849597', 3]\n",
"['2018-11-26 19:06:52.890554', 4]\n",
"['2018-11-26 19:06:59.544459', 5]\n",
"['2018-11-26 19:09:02.956070', 6]\n",
"['2018-11-26 19:10:32.735716', 7]\n",
"['2018-11-26 19:11:03.085943', 6]\n",
"['2018-11-26 19:11:16.056336', 7]\n",
"['2018-11-26 19:12:05.316507', 6]\n",
"['2018-11-26 19:13:21.900992', 7]\n",
"['2018-11-26 19:13:23.193855', 8]\n",
"['2018-11-26 19:14:56.991180', 7]\n",
"['2018-11-26 19:15:11.290250', 8]\n",
"['2018-11-26 19:15:20.133098', 7]\n",
"['2018-11-26 19:17:08.906646', 6]\n",
"['2018-11-26 19:18:43.146773', 5]\n",
"['2018-11-26 19:20:05.413170', 4]\n",
"['2018-11-26 19:20:15.156408', 3]\n",
"['2018-11-26 19:20:34.672434', 4]\n",
"['2018-11-26 19:20:47.141196', 5]\n",
"['2018-11-26 19:23:19.944951', 6]\n",
"['2018-11-26 19:23:31.098940', 7]\n",
"['2018-11-26 19:25:08.085826', 5]\n",
"['2018-11-26 19:26:44.121725', 6]\n",
"['2018-11-26 19:26:58.534655', 7]\n",
"['2018-11-26 19:27:46.618010', 8]\n",
"['2018-11-26 19:27:52.609224', 9]\n",
"['2018-11-26 19:28:43.156246', 10]\n",
"['2018-11-26 19:28:55.625900', 11]\n",
"['2018-11-26 19:29:37.069819', 12]\n",
"['2018-11-26 19:29:52.069994', 11]\n",
"['2018-11-26 19:30:47.430740', 12]\n",
"['2018-11-26 19:31:18.065742', 10]\n",
"['2018-11-26 19:31:20.695584', 11]\n",
"['2018-11-26 19:31:21.924597', 12]\n",
"['2018-11-26 19:31:33.283214', 13]\n",
"['2018-11-26 19:31:42.867288', 14]\n",
"['2018-11-26 19:31:54.071222', 13]\n",
"['2018-11-26 19:32:30.221767', 14]\n",
"['2018-11-26 19:33:31.618630', 13]\n",
"['2018-11-26 19:35:50.649396', 10]\n",
"['2018-11-26 19:36:02.371703', 9]\n",
"['2018-11-26 19:36:17.291141', 10]\n",
"['2018-11-26 19:36:29.632571', 11]\n",
"['2018-11-26 19:36:32.289710', 10]\n",
"['2018-11-26 19:37:06.386970', 7]\n",
"['2018-11-26 19:37:17.460805', 6]\n",
"['2018-11-26 19:38:20.019892', 5]\n",
"['2018-11-26 19:40:45.902458', 3]\n",
"['2018-11-26 19:40:52.702438', 4]\n",
"['2018-11-26 19:45:44.139332', 3]\n",
"['2018-11-26 19:58:47.273634', 2]\n",
"['2018-11-26 20:07:53.347724', 3]\n",
"['2018-11-26 20:08:36.526200', 4]\n",
"['2018-11-26 20:11:37.543015', 5]\n",
"['2018-11-26 20:12:31.320339', 3]\n",
"['2018-11-26 20:13:02.440980', 4]\n",
"['2018-11-26 20:13:10.386109', 5]\n",
"['2018-11-26 20:13:16.845939', 6]\n",
"['2018-11-26 20:13:19.235148', 7]\n",
"['2018-11-26 20:13:24.891506', 8]\n",
"['2018-11-26 20:13:33.155185', 9]\n",
"['2018-11-26 20:13:44.356444', 10]\n",
"['2018-11-26 20:13:59.993311', 11]\n",
"['2018-11-26 20:14:03.713450', 12]\n",
"['2018-11-26 20:14:07.109158', 13]\n",
"['2018-11-26 20:14:36.382278', 14]\n",
"['2018-11-26 20:14:48.774502', 15]\n",
"['2018-11-26 20:15:06.027104', 16]\n",
"['2018-11-26 20:15:08.188717', 17]\n",
"['2018-11-26 20:15:38.075198', 18]\n",
"['2018-11-26 20:16:03.495128', 17]\n",
"['2018-11-26 20:16:12.457156', 18]\n",
"['2018-11-26 20:16:19.321169', 19]\n",
"['2018-11-26 20:16:19.986800', 20]\n",
"['2018-11-26 20:16:22.818194', 21]\n",
"['2018-11-26 20:17:08.335373', 20]\n",
"['2018-11-26 20:18:35.726452', 21]\n",
"['2018-11-26 20:18:37.376314', 22]\n",
"['2018-11-26 20:18:45.726935', 23]\n",
"['2018-11-26 20:18:49.887808', 24]\n",
"['2018-11-26 20:18:58.605992', 22]\n",
"['2018-11-26 20:19:01.755150', 21]\n",
"['2018-11-26 20:19:14.995854', 20]\n",
"['2018-11-26 20:19:17.664289', 19]\n",
"['2018-11-26 20:19:38.170214', 18]\n",
"['2018-11-26 20:19:54.263434', 17]\n",
"['2018-11-26 20:20:13.088578', 12]\n",
"['2018-11-26 20:20:30.435839', 8]\n",
"['2018-11-26 20:20:44.197866', 9]\n",
"['2018-11-26 20:20:44.953711', 10]\n",
"['2018-11-26 20:20:55.075514', 11]\n",
"['2018-11-26 20:20:57.362924', 12]\n",
"['2018-11-26 20:21:24.320515', 13]\n",
"['2018-11-26 20:21:32.963935', 14]\n",
"['2018-11-26 20:22:30.008915', 15]\n",
"['2018-11-26 20:22:32.109369', 16]\n",
"['2018-11-26 20:22:32.709941', 17]\n",
"['2018-11-26 20:23:29.153734', 16]\n",
"['2018-11-26 20:23:46.593453', 14]\n",
"['2018-11-26 20:23:48.643134', 15]\n",
"['2018-11-26 20:23:59.973408', 14]\n",
"['2018-11-26 20:25:00.790470', 11]\n",
"['2018-11-26 20:25:34.228993', 8]\n",
"['2018-11-26 20:25:39.675729', 7]\n",
"['2018-11-26 20:26:36.777721', 5]\n",
"['2018-11-26 20:26:58.186284', 4]\n",
"['2018-11-26 20:28:09.200302', 5]\n",
"['2018-11-26 20:28:12.893659', 6]\n",
"['2018-11-26 20:29:12.757808', 7]\n",
"['2018-11-26 20:32:14.410908', 6]\n",
"['2018-11-26 20:33:24.420582', 4]\n",
"['2018-11-26 20:34:34.936542', 5]\n",
"['2018-11-26 20:38:47.784026', 4]\n",
"['2018-11-26 20:39:21.073957', 3]\n",
"['2018-11-26 20:40:58.782823', 4]\n",
"['2018-11-26 20:43:36.035233', 5]\n",
"['2018-11-26 20:44:05.124707', 6]\n",
"['2018-11-26 20:45:01.459639', 4]\n",
"['2018-11-26 20:45:36.028006', 5]\n",
"['2018-11-26 20:45:54.827413', 6]\n",
"['2018-11-26 20:46:40.317467', 7]\n",
"['2018-11-26 20:47:18.647675', 8]\n",
"['2018-11-26 20:49:42.916002', 6]\n",
"['2018-11-26 20:54:03.125238', 7]\n",
"['2018-11-26 20:55:18.711795', 8]\n",
"['2018-11-26 20:58:18.002541', 7]\n",
"['2018-11-26 20:59:44.167066', 6]\n",
"['2018-11-26 21:00:26.835798', 5]\n",
"['2018-11-26 21:03:55.927040', 4]\n",
"['2018-11-26 21:05:18.070575', 5]\n",
"['2018-11-26 21:05:56.705158', 4]\n",
"['2018-11-26 21:06:07.781294', 5]\n",
"['2018-11-26 21:06:07.836497', 6]\n",
"['2018-11-26 21:06:13.916250', 7]\n",
"['2018-11-26 21:06:27.832650', 8]\n",
"['2018-11-26 21:06:54.018034', 9]\n",
"['2018-11-26 21:06:58.985656', 8]\n",
"['2018-11-26 21:07:02.768172', 9]\n",
"['2018-11-26 21:07:40.812118', 8]\n",
"['2018-11-26 21:07:41.918337', 9]\n",
"['2018-11-26 21:07:58.529452', 10]\n",
"['2018-11-26 21:09:13.790858', 11]\n",
"['2018-11-26 21:09:43.003747', 12]\n",
"['2018-11-26 21:09:57.099245', 13]\n",
"['2018-11-26 21:10:09.932388', 11]\n",
"['2018-11-26 21:10:16.836051', 12]\n",
"['2018-11-26 21:10:17.324229', 13]\n",
"['2018-11-26 21:10:22.765627', 11]\n",
"['2018-11-26 21:10:29.181564', 10]\n",
"['2018-11-26 21:10:42.304233', 11]\n",
"['2018-11-26 21:10:52.740814', 12]\n",
"['2018-11-26 21:14:48.583128', 3]\n",
"['2018-11-26 21:14:54.755398', 2]\n",
"['2018-11-26 21:14:56.803923', 1]\n",
"['2018-11-26 21:15:08.237852', 2]\n",
"['2018-11-26 21:17:30.044865', 3]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-22 05:41:49.424676', 4]\n",
"['2018-11-22 05:42:18.607787', 5]\n",
"['2018-11-22 05:43:03.278484', 6]\n",
"['2018-11-22 05:43:14.529274', 7]\n",
"['2018-11-22 05:43:30.461316', 8]\n",
"['2018-11-22 05:49:39.295149', 4]\n",
"['2018-11-22 06:07:55.424452', 5]\n",
"['2018-11-22 06:10:02.365760', 6]\n",
"['2018-11-22 06:12:13.700123', 7]\n",
"['2018-11-22 06:12:19.074772', 8]\n",
"['2018-11-22 06:12:25.085412', 9]\n",
"['2018-11-22 06:12:34.973520', 10]\n",
"['2018-11-22 06:12:47.324218', 11]\n",
"['2018-11-22 06:13:13.056737', 10]\n",
"['2018-11-22 06:13:38.253178', 11]\n",
"['2018-11-22 06:13:58.499628', 12]\n",
"['2018-11-22 06:14:04.523715', 11]\n",
"['2018-11-22 06:14:38.206361', 12]\n",
"['2018-11-22 06:16:05.381304', 13]\n",
"['2018-11-22 06:17:23.037835', 11]\n",
"['2018-11-22 06:20:01.307178', 8]\n",
"['2018-11-22 06:20:05.913585', 7]\n",
"['2018-11-22 06:24:09.175247', 5]\n",
"['2018-11-22 06:30:12.240895', 4]\n",
"['2018-11-22 06:39:18.496998', 5]\n",
"['2018-11-22 06:40:21.148194', 4]\n",
"['2018-11-22 06:40:35.016586', 5]\n",
"['2018-11-22 06:50:30.589280', 4]\n",
"['2018-11-22 06:57:47.358202', 5]\n",
"['2018-11-22 06:59:22.632457', 6]\n",
"['2018-11-22 06:59:25.212477', 7]\n",
"['2018-11-22 07:04:31.633821', 5]\n",
"['2018-11-22 07:04:54.396753', 6]\n",
"['2018-11-22 07:05:27.935746', 7]\n",
"['2018-11-22 07:05:29.781721', 8]\n",
"['2018-11-22 07:05:40.300064', 9]\n",
"['2018-11-22 07:05:41.546493', 10]\n",
"['2018-11-22 07:05:47.565033', 11]\n",
"['2018-11-22 07:05:58.531375', 12]\n",
"['2018-11-22 07:06:01.859989', 13]\n",
"['2018-11-22 07:06:18.625868', 14]\n",
"['2018-11-22 07:06:22.042752', 15]\n",
"['2018-11-22 07:06:25.113995', 16]\n",
"['2018-11-22 07:06:50.679288', 17]\n",
"['2018-11-22 07:06:53.896605', 18]\n",
"['2018-11-22 07:07:08.490923', 19]\n",
"['2018-11-22 07:07:12.113477', 20]\n",
"['2018-11-22 07:07:19.313335', 21]\n",
"['2018-11-22 07:07:33.363635', 22]\n",
"['2018-11-22 07:07:51.461701', 23]\n",
"['2018-11-22 07:08:06.528681', 24]\n",
"['2018-11-22 07:08:19.665602', 25]\n",
"['2018-11-22 07:08:42.723113', 26]\n",
"['2018-11-22 07:09:24.053606', 27]\n",
"['2018-11-22 07:09:24.981731', 28]\n",
"['2018-11-22 07:09:33.592126', 29]\n",
"['2018-11-22 07:10:51.595594', 27]\n",
"['2018-11-22 07:11:18.756848', 25]\n",
"['2018-11-22 07:12:03.109424', 24]\n",
"['2018-11-22 07:12:17.938549', 23]\n",
"['2018-11-22 07:12:47.980885', 21]\n",
"['2018-11-22 07:12:58.714003', 20]\n",
"['2018-11-22 07:13:05.211277', 19]\n",
"['2018-11-22 07:13:37.936283', 18]\n",
"['2018-11-22 07:13:38.629665', 17]\n",
"['2018-11-22 07:13:58.443574', 15]\n",
"['2018-11-22 07:14:14.711651', 16]\n",
"['2018-11-22 07:14:43.669301', 15]\n",
"['2018-11-22 07:15:14.878217', 11]\n",
"['2018-11-22 07:15:23.282166', 10]\n",
"['2018-11-22 07:16:26.379358', 9]\n",
"['2018-11-22 07:17:41.385382', 10]\n",
"['2018-11-22 07:18:50.112383', 8]\n",
"['2018-11-22 07:18:59.164829', 7]\n",
"['2018-11-22 07:19:49.522411', 6]\n",
"['2018-11-22 07:22:37.914772', 3]\n",
"['2018-11-22 07:22:42.424425', 4]\n",
"['2018-11-22 07:35:22.237975', 3]\n",
"['2018-11-22 07:39:14.581053', 4]\n",
"['2018-11-22 07:40:35.094367', 5]\n",
"['2018-11-22 07:43:00.667395', 6]\n",
"['2018-11-22 07:43:37.852870', 7]\n",
"['2018-11-22 07:44:02.653435', 8]\n",
"['2018-11-22 07:44:19.013294', 9]\n",
"['2018-11-22 07:45:06.362475', 10]\n",
"['2018-11-22 07:47:05.018377', 9]\n",
"['2018-11-22 07:47:40.800231', 10]\n",
"['2018-11-22 07:49:02.396985', 11]\n",
"['2018-11-22 07:49:06.806156', 12]\n",
"['2018-11-22 07:50:22.480764', 11]\n",
"['2018-11-22 07:50:40.779359', 12]\n",
"['2018-11-22 07:52:30.222181', 13]\n",
"['2018-11-22 07:52:40.258447', 14]\n",
"['2018-11-22 07:54:19.598305', 15]\n",
"['2018-11-22 07:55:07.604522', 16]\n",
"['2018-11-22 07:55:40.877043', 17]\n",
"['2018-11-22 07:56:06.605487', 18]\n",
"['2018-11-22 07:56:23.404287', 17]\n",
"['2018-11-22 07:56:52.562422', 16]\n",
"['2018-11-22 07:57:09.057794', 17]\n",
"['2018-11-22 07:57:23.291867', 18]\n",
"['2018-11-22 07:57:41.757979', 17]\n",
"['2018-11-22 07:57:55.605806', 16]\n",
"['2018-11-22 07:58:22.585104', 15]\n",
"['2018-11-22 07:58:41.599257', 16]\n",
"['2018-11-22 07:58:48.737072', 17]\n",
"['2018-11-22 07:58:49.926930', 18]\n",
"['2018-11-22 07:59:07.926575', 17]\n",
"['2018-11-22 08:00:04.866727', 16]\n",
"['2018-11-22 08:01:12.626656', 17]\n",
"['2018-11-22 08:01:19.872993', 16]\n",
"['2018-11-22 08:02:16.185196', 17]\n",
"['2018-11-22 08:03:22.634865', 16]\n",
"['2018-11-22 08:03:30.089005', 17]\n",
"['2018-11-22 08:03:56.599375', 15]\n",
"['2018-11-22 08:04:37.092474', 16]\n",
"['2018-11-22 08:04:39.273518', 17]\n",
"['2018-11-22 08:05:02.211510', 16]\n",
"['2018-11-22 08:05:12.323930', 17]\n",
"['2018-11-22 08:05:19.135973', 18]\n",
"['2018-11-22 08:06:37.359164', 15]\n",
"['2018-11-22 08:06:38.053764', 16]\n",
"['2018-11-22 08:06:43.294850', 17]\n",
"['2018-11-22 08:06:46.317048', 16]\n",
"['2018-11-22 08:06:49.820540', 17]\n",
"['2018-11-22 08:06:51.337618', 18]\n",
"['2018-11-22 08:06:55.079731', 19]\n",
"['2018-11-22 08:06:55.901997', 18]\n",
"['2018-11-22 08:07:01.384418', 19]\n",
"['2018-11-22 08:07:10.305510', 20]\n",
"['2018-11-22 08:07:28.297669', 19]\n",
"['2018-11-22 08:07:40.884067', 20]\n",
"['2018-11-22 08:07:58.074945', 19]\n",
"['2018-11-22 08:08:28.007202', 18]\n",
"['2018-11-22 08:08:37.992708', 17]\n",
"['2018-11-22 08:08:49.965755', 18]\n",
"['2018-11-22 08:08:57.719007', 19]\n",
"['2018-11-22 08:09:42.454012', 20]\n",
"['2018-11-22 08:09:51.744838', 19]\n",
"['2018-11-22 08:09:56.186040', 18]\n",
"['2018-11-22 08:10:02.763589', 17]\n",
"['2018-11-22 08:10:12.618465', 18]\n",
"['2018-11-22 08:10:32.172647', 19]\n",
"['2018-11-22 08:11:19.751337', 20]\n",
"['2018-11-22 08:12:20.356410', 19]\n",
"['2018-11-22 08:13:04.227353', 18]\n",
"['2018-11-22 08:13:21.086419', 19]\n",
"['2018-11-22 08:13:33.918954', 17]\n",
"['2018-11-22 08:13:47.079819', 15]\n",
"['2018-11-22 08:14:01.090813', 14]\n",
"['2018-11-22 08:14:01.491676', 15]\n",
"['2018-11-22 08:14:08.927053', 12]\n",
"['2018-11-22 08:14:47.407473', 10]\n",
"['2018-11-22 08:14:49.253417', 11]\n",
"['2018-11-22 08:15:01.054895', 10]\n",
"['2018-11-22 08:15:32.723361', 9]\n",
"['2018-11-22 08:16:36.626655', 10]\n",
"['2018-11-22 08:16:48.446089', 11]\n",
"['2018-11-22 08:16:50.562923', 12]\n",
"['2018-11-22 08:18:01.094074', 11]\n",
"['2018-11-22 08:18:22.824436', 10]\n",
"['2018-11-22 08:18:24.894581', 11]\n",
"['2018-11-22 08:19:04.344294', 10]\n",
"['2018-11-22 08:19:05.158286', 11]\n",
"['2018-11-22 08:19:05.728606', 12]\n",
"['2018-11-22 08:19:39.019620', 13]\n",
"['2018-11-22 08:22:24.284645', 8]\n",
"['2018-11-22 08:23:18.126679', 5]\n",
"['2018-11-22 08:24:20.453614', 6]\n",
"['2018-11-22 08:24:27.142150', 7]\n",
"['2018-11-22 08:25:27.474795', 6]\n",
"['2018-11-22 08:37:37.200225', 3]\n",
"['2018-11-22 08:53:27.564511', 4]\n",
"['2018-11-22 08:53:28.366813', 5]\n",
"['2018-11-22 08:54:00.515396', 6]\n",
"['2018-11-22 08:54:43.071632', 7]\n",
"['2018-11-22 08:55:14.248731', 8]\n",
"['2018-11-22 08:55:16.289864', 9]\n",
"['2018-11-22 08:55:25.123639', 10]\n",
"['2018-11-22 08:56:48.267047', 11]\n",
"['2018-11-22 08:57:31.440387', 10]\n",
"['2018-11-22 08:59:39.712021', 11]\n",
"['2018-11-22 08:59:39.772058', 12]\n",
"['2018-11-22 08:59:54.882223', 13]\n",
"['2018-11-22 09:00:22.589443', 14]\n",
"['2018-11-22 09:01:00.317811', 13]\n",
"['2018-11-22 09:02:57.150253', 12]\n",
"['2018-11-22 09:03:02.585902', 10]\n",
"['2018-11-22 09:03:38.191946', 11]\n",
"['2018-11-22 09:03:46.390013', 12]\n",
"['2018-11-22 09:03:57.432527', 13]\n",
"['2018-11-22 09:04:26.796326', 12]\n",
"['2018-11-22 09:05:27.197112', 10]\n",
"['2018-11-22 09:05:47.267949', 11]\n",
"['2018-11-22 09:06:00.742760', 12]\n",
"['2018-11-22 09:06:02.330283', 13]\n",
"['2018-11-22 09:06:11.064262', 14]\n",
"['2018-11-22 09:06:16.949592', 15]\n",
"['2018-11-22 09:07:00.771161', 16]\n",
"['2018-11-22 09:07:13.070714', 15]\n",
"['2018-11-22 09:07:22.042663', 16]\n",
"['2018-11-22 09:08:07.059070', 15]\n",
"['2018-11-22 09:08:18.262376', 16]\n",
"['2018-11-22 09:08:19.656444', 17]\n",
"['2018-11-22 09:09:01.035465', 18]\n",
"['2018-11-22 09:09:23.925026', 19]\n",
"['2018-11-22 09:09:28.944162', 18]\n",
"['2018-11-22 09:09:45.423767', 19]\n",
"['2018-11-22 09:10:00.828070', 18]\n",
"['2018-11-22 09:10:05.297527', 16]\n",
"['2018-11-22 09:10:23.317729', 17]\n",
"['2018-11-22 09:10:45.825092', 16]\n",
"['2018-11-22 09:10:55.646246', 17]\n",
"['2018-11-22 09:11:02.097115', 16]\n",
"['2018-11-22 09:11:13.217351', 15]\n",
"['2018-11-22 09:11:13.978584', 16]\n",
"['2018-11-22 09:11:54.234229', 14]\n",
"['2018-11-22 09:12:24.266862', 13]\n",
"['2018-11-22 09:13:12.464797', 12]\n",
"['2018-11-22 09:14:24.362628', 11]\n",
"['2018-11-22 09:14:44.882107', 10]\n",
"['2018-11-22 09:15:08.022205', 8]\n",
"['2018-11-22 09:15:26.428311', 6]\n",
"['2018-11-22 09:15:50.436071', 7]\n",
"['2018-11-22 09:16:24.469093', 8]\n",
"['2018-11-22 09:17:06.904191', 9]\n",
"['2018-11-22 09:17:36.904153', 8]\n",
"['2018-11-22 09:17:42.265749', 9]\n",
"['2018-11-22 09:18:06.904043', 8]\n",
"['2018-11-22 09:19:21.602278', 9]\n",
"['2018-11-22 09:19:43.326904', 10]\n",
"['2018-11-22 09:19:57.197692', 9]\n",
"['2018-11-22 09:20:36.903680', 7]\n",
"['2018-11-22 09:21:06.903581', 6]\n",
"['2018-11-22 09:21:32.409922', 7]\n",
"['2018-11-22 09:23:29.163208', 6]\n",
"['2018-11-22 09:23:44.599911', 5]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-22 09:24:29.599609', 4]\n",
"['2018-11-22 09:37:44.187051', 3]\n",
"['2018-11-22 09:38:25.138779', 4]\n",
"['2018-11-22 09:50:10.981066', 3]\n",
"['2018-11-22 09:51:20.588892', 4]\n",
"['2018-11-22 09:52:17.438122', 5]\n",
"['2018-11-22 09:52:43.583283', 6]\n",
"['2018-11-22 09:54:12.433215', 5]\n",
"['2018-11-22 09:56:55.903953', 6]\n",
"['2018-11-22 09:57:09.457822', 5]\n",
"['2018-11-22 09:58:04.099877', 6]\n",
"['2018-11-22 09:58:44.040860', 7]\n",
"['2018-11-22 09:59:15.343427', 8]\n",
"['2018-11-22 10:00:00.730174', 7]\n",
"['2018-11-22 10:00:35.283861', 8]\n",
"['2018-11-22 10:00:38.627234', 9]\n",
"['2018-11-22 10:01:15.786490', 10]\n",
"['2018-11-22 10:01:21.404250', 11]\n",
"['2018-11-22 10:01:50.230716', 12]\n",
"['2018-11-22 10:01:55.332512', 13]\n",
"['2018-11-22 10:02:05.073373', 12]\n",
"['2018-11-22 10:02:06.729515', 13]\n",
"['2018-11-22 10:02:26.976513', 14]\n",
"['2018-11-22 10:02:49.056352', 15]\n",
"['2018-11-22 10:03:22.079667', 14]\n",
"['2018-11-22 10:03:45.156106', 15]\n",
"['2018-11-22 10:04:02.128523', 16]\n",
"['2018-11-22 10:04:06.914095', 17]\n",
"['2018-11-22 10:04:08.253558', 18]\n",
"['2018-11-22 10:04:43.694682', 19]\n",
"['2018-11-22 10:05:06.913459', 18]\n",
"['2018-11-22 10:05:35.867043', 19]\n",
"['2018-11-22 10:05:52.923833', 18]\n",
"['2018-11-22 10:06:38.980001', 14]\n",
"['2018-11-22 10:06:50.972774', 13]\n",
"['2018-11-22 10:07:50.988435', 12]\n",
"['2018-11-22 10:08:09.037944', 11]\n",
"['2018-11-22 10:08:19.049324', 10]\n",
"['2018-11-22 10:08:39.067591', 9]\n",
"['2018-11-22 10:08:44.246696', 10]\n",
"['2018-11-22 10:08:48.300229', 11]\n",
"['2018-11-22 10:08:49.701482', 12]\n",
"['2018-11-22 10:08:50.403105', 13]\n",
"['2018-11-22 10:08:58.779299', 14]\n",
"['2018-11-22 10:09:01.496470', 15]\n",
"['2018-11-22 10:09:08.971582', 14]\n",
"['2018-11-22 10:09:15.839427', 13]\n",
"['2018-11-22 10:09:19.308127', 14]\n",
"['2018-11-22 10:09:31.162083', 15]\n",
"['2018-11-22 10:09:34.253436', 16]\n",
"['2018-11-22 10:09:36.536858', 17]\n",
"['2018-11-22 10:09:37.403438', 18]\n",
"['2018-11-22 10:09:45.603450', 19]\n",
"['2018-11-22 10:09:52.977310', 20]\n",
"['2018-11-22 10:10:18.953081', 21]\n",
"['2018-11-22 10:11:23.926816', 22]\n",
"['2018-11-22 10:11:30.605297', 23]\n",
"['2018-11-22 10:11:42.786611', 22]\n",
"['2018-11-22 10:12:07.303882', 23]\n",
"['2018-11-22 10:13:21.146896', 21]\n",
"['2018-11-22 10:13:46.502296', 20]\n",
"['2018-11-22 10:13:53.439998', 19]\n",
"['2018-11-22 10:13:54.981534', 20]\n",
"['2018-11-22 10:14:00.182926', 19]\n",
"['2018-11-22 10:14:06.692129', 20]\n",
"['2018-11-22 10:15:06.941431', 21]\n",
"['2018-11-22 10:15:12.901936', 20]\n",
"['2018-11-22 10:15:15.655350', 19]\n",
"['2018-11-22 10:15:22.636487', 18]\n",
"['2018-11-22 10:15:24.854014', 17]\n",
"['2018-11-22 10:15:42.310156', 15]\n",
"['2018-11-22 10:16:09.680671', 14]\n",
"['2018-11-22 10:16:35.974610', 13]\n",
"['2018-11-22 10:16:50.207337', 12]\n",
"['2018-11-22 10:17:07.419653', 11]\n",
"['2018-11-22 10:17:38.420519', 12]\n",
"['2018-11-22 10:18:01.290595', 13]\n",
"['2018-11-22 10:19:16.768306', 11]\n",
"['2018-11-22 10:19:23.182496', 10]\n",
"['2018-11-22 10:19:47.235465', 11]\n",
"['2018-11-22 10:22:11.243449', 8]\n",
"['2018-11-22 10:23:20.927128', 9]\n",
"['2018-11-22 10:23:44.599694', 8]\n",
"['2018-11-22 10:24:00.328195', 7]\n",
"['2018-11-22 10:26:26.704156', 5]\n",
"['2018-11-22 10:28:43.491552', 3]\n",
"['2018-11-22 10:32:26.657051', 4]\n",
"['2018-11-22 10:33:04.355258', 5]\n",
"['2018-11-22 10:39:37.537360', 3]\n",
"['2018-11-22 10:40:09.344259', 4]\n",
"['2018-11-22 10:48:44.303292', 3]\n",
"['2018-11-22 10:51:02.683999', 4]\n",
"['2018-11-22 10:55:36.191684', 5]\n",
"['2018-11-22 10:56:00.018998', 6]\n",
"['2018-11-22 10:56:18.283277', 5]\n",
"['2018-11-22 10:57:31.953218', 6]\n",
"['2018-11-22 10:57:57.450697', 7]\n",
"['2018-11-22 10:58:50.819889', 8]\n",
"['2018-11-22 10:59:06.362180', 9]\n",
"['2018-11-22 11:00:06.935472', 10]\n",
"['2018-11-22 11:00:44.981089', 9]\n",
"['2018-11-22 11:01:03.189449', 10]\n",
"['2018-11-22 11:01:07.331749', 11]\n",
"['2018-11-22 11:01:30.888003', 12]\n",
"['2018-11-22 11:01:42.828931', 13]\n",
"['2018-11-22 11:02:02.506410', 12]\n",
"['2018-11-22 11:02:24.395371', 13]\n",
"['2018-11-22 11:02:32.160290', 14]\n",
"['2018-11-22 11:02:43.818061', 15]\n",
"['2018-11-22 11:02:49.235785', 16]\n",
"['2018-11-22 11:02:52.114432', 15]\n",
"['2018-11-22 11:03:14.197809', 16]\n",
"['2018-11-22 11:03:40.883336', 17]\n",
"['2018-11-22 11:04:05.061835', 16]\n",
"['2018-11-22 11:04:07.028671', 17]\n",
"['2018-11-22 11:04:41.402798', 18]\n",
"['2018-11-22 11:04:44.452634', 19]\n",
"['2018-11-22 11:05:03.118759', 18]\n",
"['2018-11-22 11:05:06.465282', 19]\n",
"['2018-11-22 11:05:41.011012', 20]\n",
"['2018-11-22 11:05:49.030227', 19]\n",
"['2018-11-22 11:05:51.076861', 18]\n",
"['2018-11-22 11:05:53.484981', 19]\n",
"['2018-11-22 11:05:55.590286', 20]\n",
"['2018-11-22 11:06:08.388642', 21]\n",
"['2018-11-22 11:06:11.404207', 20]\n",
"['2018-11-22 11:06:17.029996', 19]\n",
"['2018-11-22 11:06:54.348337', 20]\n",
"['2018-11-22 11:07:35.864496', 18]\n",
"['2018-11-22 11:08:10.501432', 17]\n",
"['2018-11-22 11:08:15.255558', 18]\n",
"['2018-11-22 11:08:23.488227', 19]\n",
"['2018-11-22 11:08:24.328320', 20]\n",
"['2018-11-22 11:08:27.776364', 21]\n",
"['2018-11-22 11:08:30.107577', 22]\n",
"['2018-11-22 11:08:38.011619', 23]\n",
"['2018-11-22 11:08:42.794797', 22]\n",
"['2018-11-22 11:09:00.651608', 23]\n",
"['2018-11-22 11:09:11.960033', 24]\n",
"['2018-11-22 11:09:20.363873', 25]\n",
"['2018-11-22 11:09:30.221138', 26]\n",
"['2018-11-22 11:09:51.852646', 25]\n",
"['2018-11-22 11:10:06.032886', 24]\n",
"['2018-11-22 11:10:06.229719', 25]\n",
"['2018-11-22 11:10:13.556290', 24]\n",
"['2018-11-22 11:10:14.225701', 25]\n",
"['2018-11-22 11:10:16.246986', 26]\n",
"['2018-11-22 11:10:35.217997', 25]\n",
"['2018-11-22 11:10:40.403857', 24]\n",
"['2018-11-22 11:10:45.219161', 23]\n",
"['2018-11-22 11:10:47.420971', 24]\n",
"['2018-11-22 11:10:53.454388', 21]\n",
"['2018-11-22 11:10:55.233013', 20]\n",
"['2018-11-22 11:10:55.592082', 21]\n",
"['2018-11-22 11:10:57.654311', 20]\n",
"['2018-11-22 11:11:03.083156', 21]\n",
"['2018-11-22 11:11:57.805946', 22]\n",
"['2018-11-22 11:13:20.109636', 18]\n",
"['2018-11-22 11:13:29.344556', 19]\n",
"['2018-11-22 11:13:55.019052', 17]\n",
"['2018-11-22 11:14:06.286416', 18]\n",
"['2018-11-22 11:14:09.115644', 19]\n",
"['2018-11-22 11:14:15.695349', 20]\n",
"['2018-11-22 11:14:16.925264', 19]\n",
"['2018-11-22 11:14:21.927097', 20]\n",
"['2018-11-22 11:14:28.790893', 18]\n",
"['2018-11-22 11:14:31.102124', 17]\n",
"['2018-11-22 11:14:58.579128', 14]\n",
"['2018-11-22 11:15:04.748008', 13]\n",
"['2018-11-22 11:15:06.772877', 11]\n",
"['2018-11-22 11:15:07.041521', 12]\n",
"['2018-11-22 11:15:27.440609', 13]\n",
"['2018-11-22 11:15:56.251212', 14]\n",
"['2018-11-22 11:16:32.852538', 13]\n",
"['2018-11-22 11:16:46.595589', 14]\n",
"['2018-11-22 11:16:53.039300', 15]\n",
"['2018-11-22 11:17:06.115075', 16]\n",
"['2018-11-22 11:17:11.582048', 17]\n",
"['2018-11-22 11:17:21.589823', 16]\n",
"['2018-11-22 11:17:21.708665', 17]\n",
"['2018-11-22 11:17:30.665144', 18]\n",
"['2018-11-22 11:18:14.843720', 19]\n",
"['2018-11-22 11:18:41.165400', 16]\n",
"['2018-11-22 11:19:28.772876', 15]\n",
"['2018-11-22 11:20:53.507879', 13]\n",
"['2018-11-22 11:23:57.487507', 4]\n",
"['2018-11-22 11:43:26.159349', 3]\n",
"['2018-11-22 11:45:14.117574', 4]\n",
"['2018-11-22 11:51:49.662204', 3]\n",
"['2018-11-22 11:53:14.551172', 4]\n",
"['2018-11-22 11:53:58.298942', 5]\n",
"['2018-11-22 11:55:39.216384', 6]\n",
"['2018-11-22 11:55:42.277694', 7]\n",
"['2018-11-22 11:56:54.790458', 8]\n",
"['2018-11-22 11:59:27.017328', 9]\n",
"['2018-11-22 12:00:49.086506', 10]\n",
"['2018-11-22 12:01:11.731522', 9]\n",
"['2018-11-22 12:01:39.185625', 10]\n",
"['2018-11-22 12:01:57.322050', 11]\n",
"['2018-11-22 12:02:07.461875', 10]\n",
"['2018-11-22 12:02:11.822073', 11]\n",
"['2018-11-22 12:03:07.948596', 12]\n",
"['2018-11-22 12:03:28.058438', 13]\n",
"['2018-11-22 12:03:31.189637', 14]\n",
"['2018-11-22 12:04:01.777874', 13]\n",
"['2018-11-22 12:04:16.431641', 14]\n",
"['2018-11-22 12:04:34.028208', 15]\n",
"['2018-11-22 12:04:48.634378', 16]\n",
"['2018-11-22 12:04:51.744692', 17]\n",
"['2018-11-22 12:05:12.647873', 18]\n",
"['2018-11-22 12:05:18.245651', 19]\n",
"['2018-11-22 12:05:28.764807', 18]\n",
"['2018-11-22 12:05:42.476631', 17]\n",
"['2018-11-22 12:06:00.777908', 18]\n",
"['2018-11-22 12:06:32.895039', 19]\n",
"['2018-11-22 12:07:01.778530', 18]\n",
"['2018-11-22 12:07:46.777604', 14]\n",
"['2018-11-22 12:08:05.425501', 15]\n",
"['2018-11-22 12:08:08.446239', 16]\n",
"['2018-11-22 12:08:08.604729', 17]\n",
"['2018-11-22 12:08:09.991261', 18]\n",
"['2018-11-22 12:08:13.259357', 19]\n",
"['2018-11-22 12:08:23.897394', 18]\n",
"['2018-11-22 12:08:31.517488', 19]\n",
"['2018-11-22 12:08:35.271194', 18]\n",
"['2018-11-22 12:08:45.571099', 19]\n",
"['2018-11-22 12:08:57.891746', 20]\n",
"['2018-11-22 12:09:01.178246', 21]\n",
"['2018-11-22 12:09:04.802895', 22]\n",
"['2018-11-22 12:09:08.368759', 23]\n",
"['2018-11-22 12:09:09.624199', 24]\n",
"['2018-11-22 12:09:09.880783', 25]\n",
"['2018-11-22 12:09:17.005239', 24]\n",
"['2018-11-22 12:09:21.149145', 23]\n",
"['2018-11-22 12:09:47.181273', 21]\n",
"['2018-11-22 12:09:50.461158', 22]\n",
"['2018-11-22 12:09:53.114028', 23]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-22 12:09:58.886043', 22]\n",
"['2018-11-22 12:09:58.985654', 23]\n",
"['2018-11-22 12:10:04.046075', 22]\n",
"['2018-11-22 12:10:09.371308', 23]\n",
"['2018-11-22 12:10:29.625951', 24]\n",
"['2018-11-22 12:10:33.467032', 23]\n",
"['2018-11-22 12:10:45.159258', 24]\n",
"['2018-11-22 12:10:45.853363', 25]\n",
"['2018-11-22 12:10:48.697763', 26]\n",
"['2018-11-22 12:12:11.826504', 27]\n",
"['2018-11-22 12:12:33.135353', 26]\n",
"['2018-11-22 12:12:53.580189', 25]\n",
"['2018-11-22 12:12:55.625788', 24]\n",
"['2018-11-22 12:13:05.696859', 23]\n",
"['2018-11-22 12:13:52.249574', 22]\n",
"['2018-11-22 12:14:04.402000', 20]\n",
"['2018-11-22 12:14:39.726136', 21]\n",
"['2018-11-22 12:14:42.995052', 20]\n",
"['2018-11-22 12:15:11.538645', 19]\n",
"['2018-11-22 12:15:15.605974', 18]\n",
"['2018-11-22 12:15:21.672325', 17]\n",
"['2018-11-22 12:15:27.742679', 16]\n",
"['2018-11-22 12:15:29.760269', 15]\n",
"['2018-11-22 12:15:35.887368', 12]\n",
"['2018-11-22 12:15:39.964121', 11]\n",
"['2018-11-22 12:15:46.128645', 10]\n",
"['2018-11-22 12:16:04.544792', 11]\n",
"['2018-11-22 12:16:05.280437', 12]\n",
"['2018-11-22 12:16:12.550887', 11]\n",
"['2018-11-22 12:16:18.542205', 12]\n",
"['2018-11-22 12:16:39.990133', 11]\n",
"['2018-11-22 12:17:00.173130', 12]\n",
"['2018-11-22 12:17:17.476987', 13]\n",
"['2018-11-22 12:17:24.766172', 14]\n",
"['2018-11-22 12:17:55.172358', 15]\n",
"['2018-11-22 12:18:09.068083', 16]\n",
"['2018-11-22 12:18:31.304378', 17]\n",
"['2018-11-22 12:18:38.783377', 16]\n",
"['2018-11-22 12:18:40.809137', 15]\n",
"['2018-11-22 12:18:44.260387', 16]\n",
"['2018-11-22 12:19:03.032167', 17]\n",
"['2018-11-22 12:19:19.310760', 16]\n",
"['2018-11-22 12:19:21.700692', 17]\n",
"['2018-11-22 12:19:50.821630', 18]\n",
"['2018-11-22 12:20:22.299724', 16]\n",
"['2018-11-22 12:20:52.724734', 17]\n",
"['2018-11-22 12:20:54.119289', 18]\n",
"['2018-11-22 12:21:10.345103', 19]\n",
"['2018-11-22 12:22:35.394399', 18]\n",
"['2018-11-22 12:22:47.611000', 17]\n",
"['2018-11-22 12:23:40.568398', 12]\n",
"['2018-11-22 12:24:41.676322', 9]\n",
"['2018-11-22 12:43:02.140773', 3]\n",
"['2018-11-22 12:43:18.745269', 4]\n",
"['2018-11-22 12:47:03.086024', 3]\n",
"['2018-11-22 12:51:08.611255', 4]\n",
"['2018-11-22 12:53:30.801852', 5]\n",
"['2018-11-22 12:54:31.522451', 4]\n",
"['2018-11-22 12:55:26.741859', 5]\n",
"['2018-11-22 12:56:06.178904', 6]\n",
"['2018-11-22 12:56:12.580646', 7]\n",
"['2018-11-22 12:56:25.126968', 8]\n",
"['2018-11-22 12:56:35.027311', 9]\n",
"['2018-11-22 12:57:16.483030', 10]\n",
"['2018-11-22 12:57:17.631841', 11]\n",
"['2018-11-22 12:57:39.755429', 10]\n",
"['2018-11-22 12:57:55.531259', 11]\n",
"['2018-11-22 12:57:55.831732', 12]\n",
"['2018-11-22 12:59:27.780422', 13]\n",
"['2018-11-22 12:59:35.799726', 14]\n",
"['2018-11-22 12:59:45.768235', 15]\n",
"['2018-11-22 13:00:07.346886', 14]\n",
"['2018-11-22 13:00:12.658028', 13]\n",
"['2018-11-22 13:00:20.347157', 14]\n",
"['2018-11-22 13:00:35.256949', 15]\n",
"['2018-11-22 13:00:40.028961', 16]\n",
"['2018-11-22 13:00:40.495478', 17]\n",
"['2018-11-22 13:00:55.839415', 16]\n",
"['2018-11-22 13:01:35.489765', 17]\n",
"['2018-11-22 13:01:38.152024', 18]\n",
"['2018-11-22 13:01:40.662375', 19]\n",
"['2018-11-22 13:02:07.111289', 20]\n",
"['2018-11-22 13:02:42.883586', 16]\n",
"['2018-11-22 13:02:46.388894', 15]\n",
"['2018-11-22 13:02:49.259381', 16]\n",
"['2018-11-22 13:02:58.214428', 15]\n",
"['2018-11-22 13:03:06.035544', 16]\n",
"['2018-11-22 13:03:14.819182', 17]\n",
"['2018-11-22 13:03:21.805307', 18]\n",
"['2018-11-22 13:04:02.671166', 19]\n",
"['2018-11-22 13:04:08.196977', 18]\n",
"['2018-11-22 13:04:17.326836', 19]\n",
"['2018-11-22 13:04:20.886412', 18]\n",
"['2018-11-22 13:04:29.540545', 19]\n",
"['2018-11-22 13:04:38.156561', 18]\n",
"['2018-11-22 13:04:49.051333', 19]\n",
"['2018-11-22 13:04:54.757741', 20]\n",
"['2018-11-22 13:05:01.378541', 21]\n",
"['2018-11-22 13:05:05.559445', 22]\n",
"['2018-11-22 13:05:08.339022', 23]\n",
"['2018-11-22 13:05:15.696525', 22]\n",
"['2018-11-22 13:05:29.539712', 21]\n",
"['2018-11-22 13:05:34.983942', 22]\n",
"['2018-11-22 13:05:40.399874', 23]\n",
"['2018-11-22 13:05:42.980999', 22]\n",
"['2018-11-22 13:05:49.370269', 23]\n",
"['2018-11-22 13:06:07.475067', 22]\n",
"['2018-11-22 13:06:19.349398', 23]\n",
"['2018-11-22 13:07:09.538795', 21]\n",
"['2018-11-22 13:07:15.701299', 20]\n",
"['2018-11-22 13:08:05.930750', 19]\n",
"['2018-11-22 13:08:19.944369', 17]\n",
"['2018-11-22 13:08:37.789079', 18]\n",
"['2018-11-22 13:08:49.536724', 16]\n",
"['2018-11-22 13:08:54.757684', 15]\n",
"['2018-11-22 13:08:54.965443', 16]\n",
"['2018-11-22 13:09:04.360813', 15]\n",
"['2018-11-22 13:09:08.311581', 16]\n",
"['2018-11-22 13:09:35.900442', 17]\n",
"['2018-11-22 13:09:43.164679', 18]\n",
"['2018-11-22 13:10:25.064640', 17]\n",
"['2018-11-22 13:10:29.260342', 18]\n",
"['2018-11-22 13:10:32.703016', 19]\n",
"['2018-11-22 13:10:37.731647', 20]\n",
"['2018-11-22 13:12:33.088528', 21]\n",
"['2018-11-22 13:13:02.092492', 20]\n",
"['2018-11-22 13:13:40.128473', 21]\n",
"['2018-11-22 13:13:48.137146', 19]\n",
"['2018-11-22 13:13:54.626575', 20]\n",
"['2018-11-22 13:14:09.248274', 19]\n",
"['2018-11-22 13:14:10.538118', 20]\n",
"['2018-11-22 13:14:14.871793', 21]\n",
"['2018-11-22 13:14:15.604820', 22]\n",
"['2018-11-22 13:14:16.139730', 23]\n",
"['2018-11-22 13:14:26.187437', 24]\n",
"['2018-11-22 13:14:36.115729', 23]\n",
"['2018-11-22 13:14:40.564264', 22]\n",
"['2018-11-22 13:14:52.727046', 21]\n",
"['2018-11-22 13:15:01.380539', 20]\n",
"['2018-11-22 13:15:14.795923', 19]\n",
"['2018-11-22 13:15:19.225356', 18]\n",
"['2018-11-22 13:17:03.108887', 17]\n",
"['2018-11-22 13:17:07.809216', 18]\n",
"['2018-11-22 13:17:15.606747', 19]\n",
"['2018-11-22 13:17:36.370804', 20]\n",
"['2018-11-22 13:17:38.868668', 21]\n",
"['2018-11-22 13:17:43.869078', 22]\n",
"['2018-11-22 13:18:09.321341', 21]\n",
"['2018-11-22 13:18:23.532458', 20]\n",
"['2018-11-22 13:18:36.190365', 19]\n",
"['2018-11-22 13:18:40.719847', 20]\n",
"['2018-11-22 13:18:45.337209', 21]\n",
"['2018-11-22 13:19:05.996559', 22]\n",
"['2018-11-22 13:19:10.879112', 23]\n",
"['2018-11-22 13:19:36.005057', 20]\n",
"['2018-11-22 13:19:42.213135', 19]\n",
"['2018-11-22 13:19:57.837629', 18]\n",
"['2018-11-22 13:20:28.177458', 19]\n",
"['2018-11-22 13:20:32.784149', 20]\n",
"['2018-11-22 13:20:41.211867', 21]\n",
"['2018-11-22 13:21:18.105616', 19]\n",
"['2018-11-22 13:21:59.056772', 20]\n",
"['2018-11-22 13:22:20.807873', 21]\n",
"['2018-11-22 13:22:23.472013', 22]\n",
"['2018-11-22 13:22:42.691643', 20]\n",
"['2018-11-22 13:22:43.091137', 19]\n",
"['2018-11-22 13:22:47.756396', 18]\n",
"['2018-11-22 13:22:49.398586', 17]\n",
"['2018-11-22 13:23:16.394190', 16]\n",
"['2018-11-22 13:24:03.133452', 14]\n",
"['2018-11-22 13:24:33.172497', 13]\n",
"['2018-11-22 13:26:09.493309', 11]\n",
"['2018-11-22 13:26:29.633775', 12]\n",
"['2018-11-22 13:26:54.392825', 9]\n",
"['2018-11-22 13:28:32.839111', 10]\n",
"['2018-11-22 13:28:38.613905', 11]\n",
"['2018-11-22 13:28:54.532126', 10]\n",
"['2018-11-22 13:29:09.551282', 9]\n",
"['2018-11-22 13:29:41.155944', 10]\n",
"['2018-11-22 13:30:45.484877', 8]\n",
"['2018-11-22 13:32:06.293182', 7]\n",
"['2018-11-22 13:32:36.315106', 6]\n",
"['2018-11-22 13:32:44.399067', 5]\n",
"['2018-11-22 13:35:05.720657', 4]\n",
"['2018-11-22 13:44:48.935896', 3]\n",
"['2018-11-22 13:49:46.499380', 4]\n",
"['2018-11-22 13:52:38.778579', 5]\n",
"['2018-11-22 13:54:07.869681', 4]\n",
"['2018-11-22 13:54:57.444464', 5]\n",
"['2018-11-22 13:55:08.715309', 6]\n",
"['2018-11-22 13:55:13.846616', 7]\n",
"['2018-11-22 13:55:52.408070', 8]\n",
"['2018-11-22 13:56:00.967121', 9]\n",
"['2018-11-22 13:56:49.874667', 10]\n",
"['2018-11-22 13:57:39.397490', 11]\n",
"['2018-11-22 13:57:58.715393', 12]\n",
"['2018-11-22 13:58:08.755117', 13]\n",
"['2018-11-22 13:58:14.478668', 12]\n",
"['2018-11-22 13:58:23.712205', 13]\n",
"['2018-11-22 13:59:26.367706', 14]\n",
"['2018-11-22 13:59:48.145578', 13]\n",
"['2018-11-22 14:00:05.081356', 14]\n",
"['2018-11-22 14:00:28.278366', 15]\n",
"['2018-11-22 14:00:56.380904', 14]\n",
"['2018-11-22 14:02:08.082988', 13]\n",
"['2018-11-22 14:02:28.866846', 12]\n",
"['2018-11-22 14:03:05.654895', 13]\n",
"['2018-11-22 14:03:26.492784', 12]\n",
"['2018-11-22 14:03:30.378175', 13]\n",
"['2018-11-22 14:03:54.820381', 14]\n",
"['2018-11-22 14:03:57.396792', 15]\n",
"['2018-11-22 14:04:01.139387', 16]\n",
"['2018-11-22 14:04:01.697971', 17]\n",
"['2018-11-22 14:04:03.796725', 18]\n",
"['2018-11-22 14:04:06.098477', 19]\n",
"['2018-11-22 14:04:06.899199', 20]\n",
"['2018-11-22 14:04:14.432417', 21]\n",
"['2018-11-22 14:04:24.156395', 20]\n",
"['2018-11-22 14:04:24.233980', 21]\n",
"['2018-11-22 14:04:35.054392', 20]\n",
"['2018-11-22 14:04:39.507315', 21]\n",
"['2018-11-22 14:04:42.107953', 22]\n",
"['2018-11-22 14:05:05.303070', 23]\n",
"['2018-11-22 14:05:32.811931', 24]\n",
"['2018-11-22 14:06:54.864815', 23]\n",
"['2018-11-22 14:07:11.932484', 22]\n",
"['2018-11-22 14:07:25.058885', 21]\n",
"['2018-11-22 14:07:26.876308', 20]\n",
"['2018-11-22 14:08:02.774936', 19]\n",
"['2018-11-22 14:08:15.106695', 18]\n",
"['2018-11-22 14:08:37.776005', 19]\n",
"['2018-11-22 14:08:45.895791', 20]\n",
"['2018-11-22 14:08:46.791676', 21]\n",
"['2018-11-22 14:08:55.774169', 20]\n",
"['2018-11-22 14:09:04.623260', 21]\n",
"['2018-11-22 14:09:39.795137', 22]\n",
"['2018-11-22 14:10:14.704259', 21]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-22 14:10:34.735649', 22]\n",
"['2018-11-22 14:10:44.743691', 21]\n",
"['2018-11-22 14:10:48.385817', 22]\n",
"['2018-11-22 14:10:57.320039', 21]\n",
"['2018-11-22 14:11:01.614564', 22]\n",
"['2018-11-22 14:11:04.520396', 23]\n",
"['2018-11-22 14:11:14.780776', 22]\n",
"['2018-11-22 14:11:18.902312', 21]\n",
"['2018-11-22 14:11:22.409979', 22]\n",
"['2018-11-22 14:12:09.947326', 23]\n",
"['2018-11-22 14:12:10.013968', 24]\n",
"['2018-11-22 14:12:21.070023', 25]\n",
"['2018-11-22 14:12:28.297197', 26]\n",
"['2018-11-22 14:12:47.699796', 25]\n",
"['2018-11-22 14:13:03.642550', 26]\n",
"['2018-11-22 14:13:45.538781', 25]\n",
"['2018-11-22 14:13:47.601553', 26]\n",
"['2018-11-22 14:13:49.770778', 27]\n",
"['2018-11-22 14:13:55.464528', 26]\n",
"['2018-11-22 14:14:10.361204', 27]\n",
"['2018-11-22 14:14:34.453610', 28]\n",
"['2018-11-22 14:14:40.536013', 26]\n",
"['2018-11-22 14:14:59.073165', 27]\n",
"['2018-11-22 14:15:07.874075', 26]\n",
"['2018-11-22 14:15:12.267119', 27]\n",
"['2018-11-22 14:15:27.660894', 28]\n",
"['2018-11-22 14:15:29.461514', 27]\n",
"['2018-11-22 14:15:39.641927', 26]\n",
"['2018-11-22 14:16:03.884570', 25]\n",
"['2018-11-22 14:16:31.137245', 24]\n",
"['2018-11-22 14:16:36.072257', 25]\n",
"['2018-11-22 14:16:36.828630', 26]\n",
"['2018-11-22 14:17:12.623654', 25]\n",
"['2018-11-22 14:17:14.635378', 24]\n",
"['2018-11-22 14:17:40.646627', 23]\n",
"['2018-11-22 14:17:49.264578', 22]\n",
"['2018-11-22 14:18:32.270686', 21]\n",
"['2018-11-22 14:18:54.514043', 22]\n",
"['2018-11-22 14:19:11.571513', 21]\n",
"['2018-11-22 14:19:23.812714', 20]\n",
"['2018-11-22 14:19:42.162363', 18]\n",
"['2018-11-22 14:19:51.301920', 17]\n",
"['2018-11-22 14:19:57.373954', 16]\n",
"['2018-11-22 14:20:03.451703', 14]\n",
"['2018-11-22 14:20:06.492102', 13]\n",
"['2018-11-22 14:20:07.122564', 14]\n",
"['2018-11-22 14:20:09.755715', 15]\n",
"['2018-11-22 14:20:18.753300', 14]\n",
"['2018-11-22 14:20:21.811726', 13]\n",
"['2018-11-22 14:20:25.410998', 14]\n",
"['2018-11-22 14:20:27.077820', 15]\n",
"['2018-11-22 14:20:33.840180', 16]\n",
"['2018-11-22 14:20:37.264730', 14]\n",
"['2018-11-22 14:20:41.469442', 15]\n",
"['2018-11-22 14:21:28.965043', 14]\n",
"['2018-11-22 14:22:00.943259', 15]\n",
"['2018-11-22 14:22:59.238166', 13]\n",
"['2018-11-22 14:24:44.465667', 11]\n",
"['2018-11-22 14:25:00.286062', 9]\n",
"['2018-11-22 14:25:59.263986', 8]\n",
"['2018-11-22 14:26:02.522850', 7]\n",
"['2018-11-22 14:27:04.430342', 6]\n",
"['2018-11-22 14:28:29.792757', 7]\n",
"['2018-11-22 14:29:00.100892', 8]\n",
"['2018-11-22 14:29:08.512324', 7]\n",
"['2018-11-22 14:29:14.826627', 8]\n",
"['2018-11-22 14:29:37.150274', 9]\n",
"['2018-11-22 14:30:07.187281', 8]\n",
"['2018-11-22 14:31:34.617436', 9]\n",
"['2018-11-22 14:32:10.170433', 8]\n",
"['2018-11-22 14:33:06.846593', 7]\n",
"['2018-11-22 14:33:46.446067', 6]\n",
"['2018-11-22 14:38:45.094697', 5]\n",
"['2018-11-22 14:44:53.282260', 3]\n",
"['2018-11-22 14:58:10.073635', 4]\n",
"['2018-11-22 14:58:14.333238', 5]\n",
"['2018-11-22 14:59:07.983473', 6]\n",
"['2018-11-22 14:59:57.725700', 7]\n",
"['2018-11-22 15:00:26.496390', 8]\n",
"['2018-11-22 15:01:29.731356', 9]\n",
"['2018-11-22 15:03:06.621355', 10]\n",
"['2018-11-22 15:03:39.335998', 11]\n",
"['2018-11-22 15:04:14.201245', 12]\n",
"['2018-11-22 15:04:23.803847', 13]\n",
"['2018-11-22 15:04:29.819387', 12]\n",
"['2018-11-22 15:05:01.909707', 13]\n",
"['2018-11-22 15:06:01.435003', 12]\n",
"['2018-11-22 15:06:27.408286', 13]\n",
"['2018-11-22 15:06:57.266042', 14]\n",
"['2018-11-22 15:07:23.469118', 13]\n",
"['2018-11-22 15:07:46.714281', 12]\n",
"['2018-11-22 15:08:38.412739', 9]\n",
"['2018-11-22 15:09:02.954452', 10]\n",
"['2018-11-22 15:09:33.357402', 9]\n",
"['2018-11-22 15:09:33.600651', 10]\n",
"['2018-11-22 15:09:36.173785', 11]\n",
"['2018-11-22 15:09:36.396286', 12]\n",
"['2018-11-22 15:09:41.862093', 13]\n",
"['2018-11-22 15:09:43.404434', 14]\n",
"['2018-11-22 15:10:00.218021', 15]\n",
"['2018-11-22 15:10:43.408253', 14]\n",
"['2018-11-22 15:10:44.608513', 15]\n",
"['2018-11-22 15:11:16.496913', 16]\n",
"['2018-11-22 15:12:59.190594', 17]\n",
"['2018-11-22 15:13:19.195088', 16]\n",
"['2018-11-22 15:13:39.187572', 15]\n",
"['2018-11-22 15:13:48.255766', 16]\n",
"['2018-11-22 15:14:03.428790', 17]\n",
"['2018-11-22 15:14:06.525250', 18]\n",
"['2018-11-22 15:14:35.363724', 16]\n",
"['2018-11-22 15:14:52.082977', 14]\n",
"['2018-11-22 15:14:52.143228', 15]\n",
"['2018-11-22 15:14:58.391077', 14]\n",
"['2018-11-22 15:15:05.453747', 13]\n",
"['2018-11-22 15:15:06.006455', 14]\n",
"['2018-11-22 15:15:07.957524', 13]\n",
"['2018-11-22 15:15:25.024940', 12]\n",
"['2018-11-22 15:16:01.793376', 13]\n",
"['2018-11-22 15:16:24.325092', 14]\n",
"['2018-11-22 15:16:49.078978', 15]\n",
"['2018-11-22 15:17:32.570184', 16]\n",
"['2018-11-22 15:18:32.812015', 14]\n",
"['2018-11-22 15:18:52.844768', 13]\n",
"['2018-11-22 15:18:53.427319', 12]\n",
"['2018-11-22 15:19:07.789898', 13]\n",
"['2018-11-22 15:19:29.473083', 14]\n",
"['2018-11-22 15:19:34.494055', 13]\n",
"['2018-11-22 15:19:42.361832', 12]\n",
"['2018-11-22 15:20:15.573606', 11]\n",
"['2018-11-22 15:20:24.471190', 10]\n",
"['2018-11-22 15:21:32.846760', 7]\n",
"['2018-11-22 15:22:24.916816', 8]\n",
"['2018-11-22 15:24:12.998794', 6]\n",
"['2018-11-22 15:27:11.399332', 4]\n",
"['2018-11-22 15:29:07.667125', 3]\n",
"['2018-11-22 15:46:44.083313', 4]\n",
"['2018-11-22 15:46:59.509512', 5]\n",
"['2018-11-22 15:47:01.047738', 6]\n",
"['2018-11-22 15:47:40.298445', 7]\n",
"['2018-11-22 15:48:53.266259', 8]\n",
"['2018-11-22 15:49:48.978687', 9]\n",
"['2018-11-22 15:50:09.397427', 10]\n",
"['2018-11-22 15:50:23.875748', 11]\n",
"['2018-11-22 15:50:35.608801', 10]\n",
"['2018-11-22 15:50:39.642313', 11]\n",
"['2018-11-22 15:50:41.894706', 12]\n",
"['2018-11-22 15:50:46.608442', 11]\n",
"['2018-11-22 15:51:02.381531', 9]\n",
"['2018-11-22 15:51:07.901360', 10]\n",
"['2018-11-22 15:52:18.861699', 11]\n",
"['2018-11-22 15:52:32.418487', 12]\n",
"['2018-11-22 15:53:42.500095', 13]\n",
"['2018-11-22 15:53:54.375387', 14]\n",
"['2018-11-22 15:54:16.752537', 15]\n",
"['2018-11-22 15:54:30.193927', 16]\n",
"['2018-11-22 15:54:31.295320', 17]\n",
"['2018-11-22 15:54:40.886036', 16]\n",
"['2018-11-22 15:55:24.544385', 17]\n",
"['2018-11-22 15:56:22.972433', 16]\n",
"['2018-11-22 15:56:54.608707', 15]\n",
"['2018-11-22 15:57:05.561133', 14]\n",
"['2018-11-22 15:57:11.552089', 15]\n",
"['2018-11-22 15:58:12.890616', 14]\n",
"['2018-11-22 15:58:48.988295', 13]\n",
"['2018-11-22 15:59:11.644189', 12]\n",
"['2018-11-22 15:59:13.252325', 11]\n",
"['2018-11-22 15:59:24.108544', 12]\n",
"['2018-11-22 15:59:37.205517', 13]\n",
"['2018-11-22 16:00:18.119192', 14]\n",
"['2018-11-22 16:00:22.199092', 13]\n",
"['2018-11-22 16:00:22.682023', 14]\n",
"['2018-11-22 16:00:51.856022', 15]\n",
"['2018-11-22 16:01:13.359736', 13]\n",
"['2018-11-22 16:01:14.237498', 14]\n",
"['2018-11-22 16:01:16.394529', 15]\n",
"['2018-11-22 16:01:18.303878', 16]\n",
"['2018-11-22 16:01:19.979901', 17]\n",
"['2018-11-22 16:01:20.946274', 18]\n",
"['2018-11-22 16:01:21.842713', 19]\n",
"['2018-11-22 16:01:28.685923', 20]\n",
"['2018-11-22 16:01:31.474090', 21]\n",
"['2018-11-22 16:01:41.078454', 22]\n",
"['2018-11-22 16:02:00.602791', 23]\n",
"['2018-11-22 16:02:02.964321', 24]\n",
"['2018-11-22 16:02:04.790091', 25]\n",
"['2018-11-22 16:02:36.932852', 26]\n",
"['2018-11-22 16:03:02.245320', 27]\n",
"['2018-11-22 16:03:04.595207', 28]\n",
"['2018-11-22 16:03:11.692198', 29]\n",
"['2018-11-22 16:03:43.117056', 30]\n",
"['2018-11-22 16:03:50.010911', 29]\n",
"['2018-11-22 16:04:18.846049', 28]\n",
"['2018-11-22 16:04:29.049815', 26]\n",
"['2018-11-22 16:04:47.458475', 25]\n",
"['2018-11-22 16:04:57.284946', 24]\n",
"['2018-11-22 16:05:50.946176', 21]\n",
"['2018-11-22 16:06:09.656275', 19]\n",
"['2018-11-22 16:06:25.537677', 20]\n",
"['2018-11-22 16:06:31.824478', 21]\n",
"['2018-11-22 16:07:08.078751', 19]\n",
"['2018-11-22 16:07:11.731386', 18]\n",
"['2018-11-22 16:07:18.843759', 17]\n",
"['2018-11-22 16:07:51.647732', 15]\n",
"['2018-11-22 16:08:05.942792', 13]\n",
"['2018-11-22 16:08:21.670647', 11]\n",
"['2018-11-22 16:09:06.376789', 12]\n",
"['2018-11-22 16:09:15.486500', 13]\n",
"['2018-11-22 16:10:00.830411', 14]\n",
"['2018-11-22 16:10:10.719400', 15]\n",
"['2018-11-22 16:10:31.614015', 16]\n",
"['2018-11-22 16:10:52.531398', 17]\n",
"['2018-11-22 16:11:25.851947', 16]\n",
"['2018-11-22 16:11:37.049594', 17]\n",
"['2018-11-22 16:11:49.819091', 18]\n",
"['2018-11-22 16:12:12.582355', 19]\n",
"['2018-11-22 16:12:15.216615', 20]\n",
"['2018-11-22 16:12:47.106126', 19]\n",
"['2018-11-22 16:13:27.698946', 16]\n",
"['2018-11-22 16:13:58.587273', 15]\n",
"['2018-11-22 16:14:14.327286', 16]\n",
"['2018-11-22 16:14:32.663300', 13]\n",
"['2018-11-22 16:14:35.077774', 14]\n",
"['2018-11-22 16:14:54.683141', 13]\n",
"['2018-11-22 16:16:01.908746', 11]\n",
"['2018-11-22 16:16:32.112248', 9]\n",
"['2018-11-22 16:17:23.452540', 10]\n",
"['2018-11-22 16:17:32.625752', 9]\n",
"['2018-11-22 16:17:54.812486', 8]\n",
"['2018-11-22 16:18:23.468276', 7]\n",
"['2018-11-22 16:18:29.624102', 8]\n",
"['2018-11-22 16:19:34.998383', 6]\n",
"['2018-11-22 16:22:19.552623', 7]\n",
"['2018-11-22 16:22:37.760501', 6]\n",
"['2018-11-22 16:36:41.236759', 3]\n",
"['2018-11-22 16:37:08.031721', 4]\n",
"['2018-11-22 16:38:23.547099', 5]\n",
"['2018-11-22 16:38:31.039205', 6]\n",
"['2018-11-22 16:38:54.370061', 7]\n",
"['2018-11-22 16:40:00.521381', 8]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-22 16:41:00.051649', 9]\n",
"['2018-11-22 16:41:43.060106', 10]\n",
"['2018-11-22 16:42:35.422358', 8]\n",
"['2018-11-22 16:44:36.868090', 7]\n",
"['2018-11-22 16:45:06.112611', 8]\n",
"['2018-11-22 16:46:25.510863', 6]\n",
"['2018-11-22 16:46:38.252916', 5]\n",
"['2018-11-22 16:47:03.585796', 6]\n",
"['2018-11-22 16:47:08.011439', 7]\n",
"['2018-11-22 16:47:52.626490', 8]\n",
"['2018-11-22 16:48:29.490194', 9]\n",
"['2018-11-22 16:48:41.491527', 10]\n",
"['2018-11-22 16:48:57.876020', 11]\n",
"['2018-11-22 16:49:15.255092', 10]\n",
"['2018-11-22 16:49:33.079153', 11]\n",
"['2018-11-22 16:49:45.056706', 12]\n",
"['2018-11-22 16:50:11.888504', 13]\n",
"['2018-11-22 16:52:57.515077', 12]\n",
"['2018-11-22 16:53:00.426848', 13]\n",
"['2018-11-22 16:53:04.389281', 14]\n",
"['2018-11-22 16:53:10.310995', 15]\n",
"['2018-11-22 16:53:16.025537', 16]\n",
"['2018-11-22 16:53:20.049538', 17]\n",
"['2018-11-22 16:53:21.738735', 18]\n",
"['2018-11-22 16:53:30.831204', 19]\n",
"['2018-11-22 16:53:40.036268', 18]\n",
"['2018-11-22 16:53:53.979439', 17]\n",
"['2018-11-22 16:53:55.096266', 18]\n",
"['2018-11-22 16:53:55.116928', 19]\n",
"['2018-11-22 16:53:59.675629', 18]\n",
"['2018-11-22 16:54:04.535440', 19]\n",
"['2018-11-22 16:54:07.656246', 20]\n",
"['2018-11-22 16:54:09.711367', 21]\n",
"['2018-11-22 16:54:09.847347', 22]\n",
"['2018-11-22 16:54:12.905864', 21]\n",
"['2018-11-22 16:54:26.352047', 22]\n",
"['2018-11-22 16:54:27.591741', 23]\n",
"['2018-11-22 16:54:42.913630', 24]\n",
"['2018-11-22 16:55:18.816152', 25]\n",
"['2018-11-22 16:56:00.039667', 24]\n",
"['2018-11-22 16:56:02.167353', 25]\n",
"['2018-11-22 16:56:08.810322', 26]\n",
"['2018-11-22 16:56:10.528383', 27]\n",
"['2018-11-22 16:56:13.665869', 28]\n",
"['2018-11-22 16:56:40.040557', 27]\n",
"['2018-11-22 16:56:55.189909', 28]\n",
"['2018-11-22 16:56:56.910898', 29]\n",
"['2018-11-22 16:56:58.431813', 30]\n",
"['2018-11-22 16:57:00.040470', 29]\n",
"['2018-11-22 16:57:03.838315', 30]\n",
"['2018-11-22 16:57:07.036077', 31]\n",
"['2018-11-22 16:57:10.668699', 30]\n",
"['2018-11-22 16:57:20.050344', 29]\n",
"['2018-11-22 16:57:25.106912', 28]\n",
"['2018-11-22 16:57:42.957609', 29]\n",
"['2018-11-22 16:57:57.736949', 27]\n",
"['2018-11-22 16:58:05.743469', 26]\n",
"['2018-11-22 16:58:10.042329', 25]\n",
"['2018-11-22 16:58:14.730868', 26]\n",
"['2018-11-22 16:58:30.536233', 27]\n",
"['2018-11-22 16:58:46.738502', 28]\n",
"['2018-11-22 16:58:59.348630', 29]\n",
"['2018-11-22 16:59:05.447633', 30]\n",
"['2018-11-22 16:59:20.045125', 28]\n",
"['2018-11-22 16:59:26.167802', 29]\n",
"['2018-11-22 17:00:39.467924', 27]\n",
"['2018-11-22 17:06:36.647467', 3]\n",
"['2018-11-22 17:06:44.842326', 4]\n",
"['2018-11-22 17:07:12.897109', 5]\n",
"['2018-11-22 17:11:13.319275', 4]\n",
"['2018-11-22 17:12:22.197228', 5]\n",
"['2018-11-22 17:13:12.635937', 6]\n",
"['2018-11-22 17:13:29.640514', 5]\n",
"['2018-11-22 17:18:23.482474', 6]\n",
"['2018-11-22 17:18:43.187693', 7]\n",
"['2018-11-22 17:24:22.185431', 3]\n",
"['2018-11-22 17:31:07.060387', 4]\n",
"['2018-11-22 17:33:33.147979', 5]\n",
"['2018-11-22 17:40:22.215720', 4]\n",
"['2018-11-22 17:41:58.315443', 5]\n",
"['2018-11-22 17:45:35.824463', 4]\n",
"['2018-11-22 17:45:48.927411', 5]\n",
"['2018-11-22 17:46:13.766904', 4]\n",
"['2018-11-22 17:47:32.662171', 5]\n",
"['2018-11-22 17:48:22.241915', 6]\n",
"['2018-11-22 17:49:14.564064', 7]\n",
"['2018-11-22 17:52:18.672169', 8]\n",
"['2018-11-22 17:53:58.112438', 7]\n",
"['2018-11-22 17:56:19.412881', 6]\n",
"['2018-11-22 17:58:01.804701', 5]\n",
"['2018-11-22 18:00:22.256091', 4]\n",
"['2018-11-22 18:02:12.406139', 5]\n",
"['2018-11-22 18:02:26.854734', 6]\n",
"['2018-11-22 18:07:35.165435', 4]\n",
"['2018-11-22 18:09:41.361021', 5]\n",
"['2018-11-22 18:12:19.118356', 4]\n",
"['2018-11-22 18:16:16.897592', 5]\n",
"['2018-11-22 18:17:54.382755', 6]\n",
"['2018-11-22 18:24:27.687483', 5]\n",
"['2018-11-22 18:25:47.684892', 3]\n",
"['2018-11-22 18:40:40.272563', 4]\n",
"['2018-11-22 18:41:18.150833', 5]\n",
"['2018-11-22 18:41:27.331073', 6]\n",
"['2018-11-22 18:42:21.504044', 7]\n",
"['2018-11-22 18:44:26.737852', 6]\n",
"['2018-11-22 18:48:32.751578', 5]\n",
"['2018-11-22 18:48:55.386055', 6]\n",
"['2018-11-22 18:48:55.463792', 7]\n",
"['2018-11-22 18:49:14.401234', 8]\n",
"['2018-11-22 18:49:15.913392', 9]\n",
"['2018-11-22 18:49:19.487164', 10]\n",
"['2018-11-22 18:49:20.211390', 11]\n",
"['2018-11-22 18:49:25.865427', 12]\n",
"['2018-11-22 18:49:34.862532', 11]\n",
"['2018-11-22 18:49:35.504174', 10]\n",
"['2018-11-22 18:49:36.441530', 11]\n",
"['2018-11-22 18:49:36.683596', 12]\n",
"['2018-11-22 18:50:15.821265', 13]\n",
"['2018-11-22 18:52:03.738017', 14]\n",
"['2018-11-22 18:52:38.005461', 13]\n",
"['2018-11-22 18:52:42.290847', 14]\n",
"['2018-11-22 18:52:42.369701', 15]\n",
"['2018-11-22 18:52:47.953851', 16]\n",
"['2018-11-22 18:52:53.531775', 17]\n",
"['2018-11-22 18:52:55.697318', 16]\n",
"['2018-11-22 18:53:10.468594', 17]\n",
"['2018-11-22 18:53:28.323526', 18]\n",
"['2018-11-22 18:53:28.333165', 19]\n",
"['2018-11-22 18:53:32.095827', 18]\n",
"['2018-11-22 18:53:37.204976', 19]\n",
"['2018-11-22 18:53:38.799721', 20]\n",
"['2018-11-22 18:53:43.248488', 21]\n",
"['2018-11-22 18:53:49.908978', 22]\n",
"['2018-11-22 18:53:53.463102', 23]\n",
"['2018-11-22 18:54:02.270191', 24]\n",
"['2018-11-22 18:54:14.082680', 25]\n",
"['2018-11-22 18:54:17.831114', 24]\n",
"['2018-11-22 18:54:23.648289', 25]\n",
"['2018-11-22 18:54:31.188981', 26]\n",
"['2018-11-22 18:54:35.388608', 27]\n",
"['2018-11-22 18:55:09.262584', 28]\n",
"['2018-11-22 18:55:48.473786', 29]\n",
"['2018-11-22 18:55:59.391602', 30]\n",
"['2018-11-22 18:56:05.180895', 29]\n",
"['2018-11-22 18:56:05.583388', 30]\n",
"['2018-11-22 18:56:08.693023', 31]\n",
"['2018-11-22 18:56:10.653305', 32]\n",
"['2018-11-22 18:56:12.684727', 33]\n",
"['2018-11-22 18:56:22.571450', 34]\n",
"['2018-11-22 18:56:44.175298', 33]\n",
"['2018-11-22 18:57:01.953557', 34]\n",
"['2018-11-22 18:57:30.154696', 33]\n",
"['2018-11-22 18:57:37.727727', 32]\n",
"['2018-11-22 18:58:06.461897', 31]\n",
"['2018-11-22 18:58:10.221963', 32]\n",
"['2018-11-22 18:58:15.298980', 30]\n",
"['2018-11-22 18:58:30.676111', 31]\n",
"['2018-11-22 18:58:34.278375', 32]\n",
"['2018-11-22 18:58:34.795304', 33]\n",
"['2018-11-22 18:58:48.315728', 34]\n",
"['2018-11-22 18:59:10.434305', 33]\n",
"['2018-11-22 18:59:22.531493', 34]\n",
"['2018-11-22 18:59:30.980404', 35]\n",
"['2018-11-22 18:59:32.836023', 34]\n",
"['2018-11-22 19:00:09.371144', 35]\n",
"['2018-11-22 19:00:11.232034', 34]\n",
"['2018-11-22 19:01:07.966649', 33]\n",
"['2018-11-22 19:01:17.979178', 32]\n",
"['2018-11-22 19:01:20.608667', 31]\n",
"['2018-11-22 19:01:35.047211', 32]\n",
"['2018-11-22 19:01:56.069328', 31]\n",
"['2018-11-22 19:02:36.780043', 29]\n",
"['2018-11-22 19:03:05.424976', 27]\n",
"['2018-11-22 19:03:12.513834', 28]\n",
"['2018-11-22 19:03:57.971224', 25]\n",
"['2018-11-22 19:04:11.153477', 21]\n",
"['2018-11-22 19:04:11.940646', 22]\n",
"['2018-11-22 19:04:25.926430', 19]\n",
"['2018-11-22 19:04:30.697051', 20]\n",
"['2018-11-22 19:04:45.879638', 19]\n",
"['2018-11-22 19:04:59.208260', 18]\n",
"['2018-11-22 19:05:25.429093', 17]\n",
"['2018-11-22 19:05:40.663136', 18]\n",
"['2018-11-22 19:06:18.078853', 19]\n",
"['2018-11-22 19:06:26.347934', 17]\n",
"['2018-11-22 19:06:46.894851', 16]\n",
"['2018-11-22 19:07:59.424426', 15]\n",
"['2018-11-22 19:08:36.883426', 13]\n",
"['2018-11-22 19:09:16.081967', 14]\n",
"['2018-11-22 19:09:29.687005', 13]\n",
"['2018-11-22 19:09:49.775786', 12]\n",
"['2018-11-22 19:09:59.598246', 13]\n",
"['2018-11-22 19:10:48.848508', 12]\n",
"['2018-11-22 19:11:02.769098', 13]\n",
"['2018-11-22 19:15:05.025554', 3]\n",
"['2018-11-22 19:28:22.858110', 4]\n",
"['2018-11-22 19:38:54.796920', 3]\n",
"['2018-11-22 19:40:55.897333', 4]\n",
"['2018-11-22 19:44:44.790284', 5]\n",
"['2018-11-22 19:45:17.045380', 6]\n",
"['2018-11-22 19:46:06.457333', 7]\n",
"['2018-11-22 19:46:39.587551', 8]\n",
"['2018-11-22 19:48:36.058986', 9]\n",
"['2018-11-22 19:48:36.516199', 10]\n",
"['2018-11-22 19:48:36.920266', 11]\n",
"['2018-11-22 19:48:41.054534', 12]\n",
"['2018-11-22 19:48:42.682897', 13]\n",
"['2018-11-22 19:48:45.507169', 12]\n",
"['2018-11-22 19:48:47.763504', 13]\n",
"['2018-11-22 19:49:00.530738', 14]\n",
"['2018-11-22 19:49:02.973164', 15]\n",
"['2018-11-22 19:49:03.053554', 14]\n",
"['2018-11-22 19:49:05.460732', 15]\n",
"['2018-11-22 19:49:09.999799', 16]\n",
"['2018-11-22 19:49:20.090846', 15]\n",
"['2018-11-22 19:49:21.801005', 16]\n",
"['2018-11-22 19:49:28.172849', 17]\n",
"['2018-11-22 19:49:36.188932', 16]\n",
"['2018-11-22 19:49:42.111728', 17]\n",
"['2018-11-22 19:49:58.534335', 18]\n",
"['2018-11-22 19:50:40.972586', 19]\n",
"['2018-11-22 19:51:14.123631', 20]\n",
"['2018-11-22 19:51:19.604021', 21]\n",
"['2018-11-22 19:51:20.390189', 22]\n",
"['2018-11-22 19:51:48.085488', 23]\n",
"['2018-11-22 19:52:24.039277', 24]\n",
"['2018-11-22 19:52:37.665631', 25]\n",
"['2018-11-22 19:53:10.109352', 26]\n",
"['2018-11-22 19:54:26.397646', 24]\n",
"['2018-11-22 19:54:32.968101', 25]\n",
"['2018-11-22 19:54:45.562277', 26]\n",
"['2018-11-22 19:55:09.585120', 27]\n",
"['2018-11-22 19:55:35.140629', 26]\n",
"['2018-11-22 19:55:56.886587', 25]\n",
"['2018-11-22 19:56:09.728496', 26]\n",
"['2018-11-22 19:56:19.309086', 27]\n",
"['2018-11-22 19:56:28.163457', 28]\n",
"['2018-11-22 19:56:36.865879', 27]\n",
"['2018-11-22 19:56:46.104272', 26]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-22 19:56:51.215796', 24]\n",
"['2018-11-22 19:56:59.162764', 23]\n",
"['2018-11-22 19:57:00.301000', 22]\n",
"['2018-11-22 19:57:01.016577', 23]\n",
"['2018-11-22 19:57:06.454111', 22]\n",
"['2018-11-22 19:57:09.429884', 23]\n",
"['2018-11-22 19:57:13.329475', 22]\n",
"['2018-11-22 19:57:14.342558', 23]\n",
"['2018-11-22 19:57:22.172129', 24]\n",
"['2018-11-22 19:57:39.200412', 25]\n",
"['2018-11-22 19:58:17.779712', 26]\n",
"['2018-11-22 19:58:27.459621', 25]\n",
"['2018-11-22 19:58:45.070846', 26]\n",
"['2018-11-22 19:59:08.895398', 25]\n",
"['2018-11-22 19:59:10.335758', 24]\n",
"['2018-11-22 19:59:15.978670', 25]\n",
"['2018-11-22 19:59:49.947594', 26]\n",
"['2018-11-22 20:00:12.466214', 25]\n",
"['2018-11-22 20:00:22.570327', 24]\n",
"['2018-11-22 20:00:31.715020', 25]\n",
"['2018-11-22 20:00:43.461396', 24]\n",
"['2018-11-22 20:01:18.018788', 22]\n",
"['2018-11-22 20:01:34.101388', 23]\n",
"['2018-11-22 20:01:39.172885', 24]\n",
"['2018-11-22 20:01:39.573056', 23]\n",
"['2018-11-22 20:01:58.219783', 22]\n",
"['2018-11-22 20:02:16.445072', 20]\n",
"['2018-11-22 20:02:31.728361', 21]\n",
"['2018-11-22 20:02:45.369133', 20]\n",
"['2018-11-22 20:02:50.065273', 21]\n",
"['2018-11-22 20:03:04.326467', 22]\n",
"['2018-11-22 20:03:58.410818', 20]\n",
"['2018-11-22 20:04:01.201152', 21]\n",
"['2018-11-22 20:04:11.525520', 22]\n",
"['2018-11-22 20:04:38.779799', 21]\n",
"['2018-11-22 20:04:46.906734', 20]\n",
"['2018-11-22 20:04:50.261977', 19]\n",
"['2018-11-22 20:05:06.650034', 20]\n",
"['2018-11-22 20:05:35.701732', 19]\n",
"['2018-11-22 20:05:39.952315', 18]\n",
"['2018-11-22 20:05:49.836710', 19]\n",
"['2018-11-22 20:06:54.285461', 18]\n",
"['2018-11-22 20:07:08.346863', 17]\n",
"['2018-11-22 20:07:08.895278', 18]\n",
"['2018-11-22 20:07:12.582148', 17]\n",
"['2018-11-22 20:08:40.820355', 16]\n",
"['2018-11-22 20:09:18.919382', 17]\n",
"['2018-11-22 20:09:49.012394', 16]\n",
"['2018-11-22 20:10:00.470626', 15]\n",
"['2018-11-22 20:10:14.752363', 16]\n",
"['2018-11-22 20:11:14.685026', 15]\n",
"['2018-11-22 20:12:07.093271', 14]\n",
"['2018-11-22 20:12:47.228243', 13]\n",
"['2018-11-22 20:12:47.291405', 14]\n",
"['2018-11-22 20:13:09.806549', 13]\n",
"['2018-11-22 20:13:52.084896', 10]\n",
"['2018-11-22 20:14:00.485801', 9]\n",
"['2018-11-22 20:16:10.148042', 8]\n",
"['2018-11-22 20:18:01.321651', 7]\n",
"['2018-11-22 20:18:28.316117', 6]\n",
"['2018-11-22 20:19:04.794226', 5]\n",
"['2018-11-22 20:34:20.991882', 3]\n",
"['2018-11-22 20:34:28.070425', 4]\n",
"['2018-11-25 05:52:56.169994', 3]\n",
"['2018-11-25 05:53:12.828207', 4]\n",
"['2018-11-25 05:59:53.102268', 5]\n",
"['2018-11-25 06:05:38.163025', 4]\n",
"['2018-11-25 06:07:37.028066', 5]\n",
"['2018-11-25 06:08:30.252850', 4]\n",
"['2018-11-25 06:10:20.638751', 5]\n",
"['2018-11-25 06:12:27.448049', 6]\n",
"['2018-11-25 06:17:19.077905', 4]\n",
"['2018-11-25 06:18:42.503768', 5]\n",
"['2018-11-25 06:24:07.608947', 3]\n",
"['2018-11-25 06:24:57.067453', 4]\n",
"['2018-11-25 06:30:17.286365', 5]\n",
"['2018-11-25 06:37:07.360210', 3]\n",
"['2018-11-25 06:50:52.110515', 4]\n",
"['2018-11-25 06:52:58.419330', 5]\n",
"['2018-11-25 06:53:03.701818', 6]\n",
"['2018-11-25 06:53:03.891143', 7]\n",
"['2018-11-25 06:53:27.829128', 8]\n",
"['2018-11-25 06:54:05.616832', 7]\n",
"['2018-11-25 06:54:57.062910', 6]\n",
"['2018-11-25 06:57:01.735725', 7]\n",
"['2018-11-25 07:05:01.459847', 3]\n",
"['2018-11-25 07:10:43.438029', 4]\n",
"['2018-11-25 07:20:04.618748', 3]\n",
"['2018-11-25 07:22:42.171224', 4]\n",
"['2018-11-25 07:28:20.996861', 3]\n",
"['2018-11-25 07:30:57.924203', 4]\n",
"['2018-11-25 07:31:57.963168', 5]\n",
"['2018-11-25 07:32:13.089040', 6]\n",
"['2018-11-25 07:33:05.820259', 7]\n",
"['2018-11-25 07:36:21.955618', 5]\n",
"['2018-11-25 07:36:34.416258', 6]\n",
"['2018-11-25 07:36:34.820946', 7]\n",
"['2018-11-25 07:36:45.116908', 8]\n",
"['2018-11-25 07:37:44.471306', 9]\n",
"['2018-11-25 07:38:08.511823', 8]\n",
"['2018-11-25 07:38:21.753015', 9]\n",
"['2018-11-25 07:41:10.712080', 8]\n",
"['2018-11-25 07:43:43.705929', 7]\n",
"['2018-11-25 07:44:16.148647', 6]\n",
"['2018-11-25 07:45:22.983959', 7]\n",
"['2018-11-25 07:45:28.459359', 8]\n",
"['2018-11-25 07:45:32.132192', 9]\n",
"['2018-11-25 07:50:21.474390', 3]\n",
"['2018-11-25 07:50:32.083649', 4]\n",
"['2018-11-25 07:51:50.849562', 5]\n",
"['2018-11-25 07:58:02.042714', 3]\n",
"['2018-11-25 08:01:36.023900', 4]\n",
"['2018-11-25 08:03:06.023692', 3]\n",
"['2018-11-25 08:16:08.202895', 4]\n",
"['2018-11-25 08:17:01.039355', 5]\n",
"['2018-11-25 08:17:51.683483', 6]\n",
"['2018-11-25 08:18:08.292270', 7]\n",
"['2018-11-25 08:20:42.391831', 6]\n",
"['2018-11-25 08:20:42.744894', 7]\n",
"['2018-11-25 08:20:53.147019', 8]\n",
"['2018-11-25 08:21:35.065636', 9]\n",
"['2018-11-25 08:22:14.773070', 10]\n",
"['2018-11-25 08:22:45.105405', 11]\n",
"['2018-11-25 08:24:27.781043', 12]\n",
"['2018-11-25 08:24:36.465930', 13]\n",
"['2018-11-25 08:25:25.902030', 14]\n",
"['2018-11-25 08:25:59.017271', 13]\n",
"['2018-11-25 08:26:57.429957', 14]\n",
"['2018-11-25 08:27:05.780901', 15]\n",
"['2018-11-25 08:27:55.604285', 16]\n",
"['2018-11-25 08:28:17.650532', 14]\n",
"['2018-11-25 08:28:21.107291', 15]\n",
"['2018-11-25 08:29:21.076982', 14]\n",
"['2018-11-25 08:29:39.542828', 15]\n",
"['2018-11-25 08:29:47.257054', 14]\n",
"['2018-11-25 08:30:00.429502', 13]\n",
"['2018-11-25 08:30:03.153068', 14]\n",
"['2018-11-25 08:30:22.338763', 15]\n",
"['2018-11-25 08:34:13.733284', 5]\n",
"['2018-11-25 08:35:19.262284', 4]\n",
"['2018-11-25 08:41:17.930718', 3]\n",
"['2018-11-25 08:42:02.353669', 4]\n",
"['2018-11-25 08:46:06.486889', 3]\n",
"['2018-11-25 08:53:16.367115', 4]\n",
"['2018-11-25 08:56:57.748533', 5]\n",
"['2018-11-25 09:01:57.569632', 4]\n",
"['2018-11-25 09:02:02.705042', 5]\n",
"['2018-11-25 09:03:23.599402', 6]\n",
"['2018-11-25 09:04:36.960784', 5]\n",
"['2018-11-25 09:05:13.442190', 6]\n",
"['2018-11-25 09:05:15.228551', 7]\n",
"['2018-11-25 09:05:51.334958', 8]\n",
"['2018-11-25 09:06:07.440839', 9]\n",
"['2018-11-25 09:06:10.013195', 10]\n",
"['2018-11-25 09:06:11.993223', 11]\n",
"['2018-11-25 09:06:19.239697', 12]\n",
"['2018-11-25 09:06:21.423240', 13]\n",
"['2018-11-25 09:06:25.625075', 14]\n",
"['2018-11-25 09:06:37.760067', 15]\n",
"['2018-11-25 09:06:39.129826', 16]\n",
"['2018-11-25 09:06:46.065731', 17]\n",
"['2018-11-25 09:06:55.503272', 18]\n",
"['2018-11-25 09:07:01.844385', 19]\n",
"['2018-11-25 09:07:12.792739', 20]\n",
"['2018-11-25 09:07:17.221943', 21]\n",
"['2018-11-25 09:07:40.066777', 22]\n",
"['2018-11-25 09:07:43.505136', 23]\n",
"['2018-11-25 09:08:09.297708', 24]\n",
"['2018-11-25 09:08:50.610599', 23]\n",
"['2018-11-25 09:09:03.935174', 24]\n",
"['2018-11-25 09:09:08.493309', 25]\n",
"['2018-11-25 09:09:15.747209', 26]\n",
"['2018-11-25 09:09:25.744598', 25]\n",
"['2018-11-25 09:10:15.029034', 26]\n",
"['2018-11-25 09:10:19.113114', 27]\n",
"['2018-11-25 09:10:48.503172', 26]\n",
"['2018-11-25 09:11:09.185044', 27]\n",
"['2018-11-25 09:11:24.762643', 26]\n",
"['2018-11-25 09:11:26.213233', 25]\n",
"['2018-11-25 09:11:26.469404', 26]\n",
"['2018-11-25 09:11:28.971226', 25]\n",
"['2018-11-25 09:11:36.993325', 23]\n",
"['2018-11-25 09:11:41.523532', 22]\n",
"['2018-11-25 09:11:59.777943', 21]\n",
"['2018-11-25 09:12:25.899520', 22]\n",
"['2018-11-25 09:13:00.926969', 23]\n",
"['2018-11-25 09:13:26.679007', 22]\n",
"['2018-11-25 09:13:44.883547', 23]\n",
"['2018-11-25 09:14:03.296231', 24]\n",
"['2018-11-25 09:15:38.274663', 23]\n",
"['2018-11-25 09:15:52.199145', 24]\n",
"['2018-11-25 09:15:54.624915', 25]\n",
"['2018-11-25 09:16:30.470414', 24]\n",
"['2018-11-25 09:16:32.094451', 25]\n",
"['2018-11-25 09:16:36.753969', 24]\n",
"['2018-11-25 09:16:47.520303', 25]\n",
"['2018-11-25 09:16:50.517421', 26]\n",
"['2018-11-25 09:16:51.512343', 27]\n",
"['2018-11-25 09:18:36.863751', 23]\n",
"['2018-11-25 09:18:37.996089', 24]\n",
"['2018-11-25 09:19:09.066413', 22]\n",
"['2018-11-25 09:19:30.166387', 23]\n",
"['2018-11-25 09:19:40.041682', 22]\n",
"['2018-11-25 09:20:18.152679', 19]\n",
"['2018-11-25 09:20:27.540576', 18]\n",
"['2018-11-25 09:20:43.323321', 16]\n",
"['2018-11-25 09:20:55.459156', 10]\n",
"['2018-11-25 09:21:14.568124', 9]\n",
"['2018-11-25 09:21:30.177358', 8]\n",
"['2018-11-25 09:23:34.210076', 7]\n",
"['2018-11-25 09:26:27.432864', 5]\n",
"['2018-11-25 09:27:48.549474', 4]\n",
"['2018-11-25 09:28:38.690171', 5]\n",
"['2018-11-25 09:28:50.863025', 6]\n",
"['2018-11-25 09:38:29.378406', 3]\n",
"['2018-11-25 09:39:13.733310', 4]\n",
"['2018-11-25 09:41:21.549478', 5]\n",
"['2018-11-25 09:41:53.105263', 6]\n",
"['2018-11-25 09:43:09.835489', 5]\n",
"['2018-11-25 09:43:53.939189', 6]\n",
"['2018-11-25 09:44:25.735262', 7]\n",
"['2018-11-25 09:45:29.789801', 8]\n",
"['2018-11-25 09:45:45.364736', 9]\n",
"['2018-11-25 09:47:11.695975', 8]\n",
"['2018-11-25 09:47:44.530548', 9]\n",
"['2018-11-25 09:48:20.394783', 10]\n",
"['2018-11-25 09:48:21.697633', 11]\n",
"['2018-11-25 09:48:31.125971', 9]\n",
"['2018-11-25 09:48:37.548950', 10]\n",
"['2018-11-25 09:49:07.608462', 9]\n",
"['2018-11-25 09:50:02.370944', 10]\n",
"['2018-11-25 09:50:13.643677', 11]\n",
"['2018-11-25 09:51:09.618618', 10]\n",
"['2018-11-25 09:51:30.283379', 11]\n",
"['2018-11-25 09:52:55.540251', 9]\n",
"['2018-11-25 09:52:57.692707', 10]\n",
"['2018-11-25 09:53:11.301871', 11]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-25 09:53:12.500120', 12]\n",
"['2018-11-25 09:53:12.892753', 13]\n",
"['2018-11-25 09:53:22.930091', 14]\n",
"['2018-11-25 09:53:34.744250', 15]\n",
"['2018-11-25 09:53:40.708957', 16]\n",
"['2018-11-25 09:53:50.146897', 15]\n",
"['2018-11-25 09:54:13.191820', 14]\n",
"['2018-11-25 09:54:32.749405', 15]\n",
"['2018-11-25 09:55:05.913826', 16]\n",
"['2018-11-25 09:55:15.419400', 17]\n",
"['2018-11-25 09:55:34.016155', 16]\n",
"['2018-11-25 09:56:11.447416', 17]\n",
"['2018-11-25 09:56:16.251580', 16]\n",
"['2018-11-25 09:56:16.770545', 17]\n",
"['2018-11-25 09:58:06.917886', 18]\n",
"['2018-11-25 09:58:41.228457', 19]\n",
"['2018-11-25 09:59:06.848988', 18]\n",
"['2018-11-25 09:59:10.908745', 19]\n",
"['2018-11-25 09:59:25.892322', 17]\n",
"['2018-11-25 09:59:37.494475', 16]\n",
"['2018-11-25 09:59:41.230498', 15]\n",
"['2018-11-25 09:59:42.563604', 16]\n",
"['2018-11-25 09:59:52.598487', 15]\n",
"['2018-11-25 10:00:13.543849', 14]\n",
"['2018-11-25 10:00:15.173468', 15]\n",
"['2018-11-25 10:00:20.451827', 16]\n",
"['2018-11-25 10:00:39.877710', 15]\n",
"['2018-11-25 10:02:02.516783', 16]\n",
"['2018-11-25 10:02:10.952631', 17]\n",
"['2018-11-25 10:02:20.841518', 18]\n",
"['2018-11-25 10:04:24.579784', 17]\n",
"['2018-11-25 10:04:47.226688', 18]\n",
"['2018-11-25 10:04:57.870240', 17]\n",
"['2018-11-25 10:05:02.858597', 16]\n",
"['2018-11-25 10:05:16.966522', 15]\n",
"['2018-11-25 10:05:41.591078', 16]\n",
"['2018-11-25 10:05:48.438860', 15]\n",
"['2018-11-25 10:06:19.648923', 13]\n",
"['2018-11-25 10:06:50.915544', 8]\n",
"['2018-11-25 10:07:03.019547', 6]\n",
"['2018-11-25 10:09:42.459742', 4]\n",
"['2018-11-25 10:11:03.980200', 5]\n",
"['2018-11-25 10:11:31.457647', 6]\n",
"['2018-11-25 10:12:02.486029', 5]\n",
"['2018-11-25 10:12:23.602584', 6]\n",
"['2018-11-25 10:12:24.500325', 7]\n",
"['2018-11-25 10:15:47.183393', 5]\n",
"['2018-11-25 10:16:05.120954', 6]\n",
"['2018-11-25 10:17:33.418043', 4]\n",
"['2018-11-25 10:17:43.516092', 5]\n",
"['2018-11-25 10:19:32.956356', 6]\n",
"['2018-11-25 10:20:27.042878', 5]\n",
"['2018-11-25 10:24:36.284911', 6]\n",
"['2018-11-25 10:25:34.869666', 4]\n",
"['2018-11-25 10:25:45.487463', 5]\n",
"['2018-11-25 10:26:01.095411', 6]\n",
"['2018-11-25 10:26:03.096949', 7]\n",
"['2018-11-25 10:30:01.817589', 8]\n",
"['2018-11-25 10:30:33.411007', 9]\n",
"['2018-11-25 10:30:35.596195', 10]\n",
"['2018-11-25 10:31:10.887570', 11]\n",
"['2018-11-25 10:32:10.391446', 10]\n",
"['2018-11-25 10:33:06.523263', 11]\n",
"['2018-11-25 10:33:16.206054', 12]\n",
"['2018-11-25 10:34:10.732514', 13]\n",
"['2018-11-25 10:34:12.021563', 14]\n",
"['2018-11-25 10:34:33.412208', 13]\n",
"['2018-11-25 10:34:57.894007', 14]\n",
"['2018-11-25 10:35:22.755320', 13]\n",
"['2018-11-25 10:36:24.970646', 12]\n",
"['2018-11-25 10:37:01.508639', 11]\n",
"['2018-11-25 10:37:11.059489', 10]\n",
"['2018-11-25 10:37:35.838023', 9]\n",
"['2018-11-25 10:38:22.039040', 10]\n",
"['2018-11-25 10:38:35.287785', 11]\n",
"['2018-11-25 10:38:38.644723', 12]\n",
"['2018-11-25 10:38:48.854290', 13]\n",
"['2018-11-25 10:39:16.080078', 14]\n",
"['2018-11-25 10:39:22.127756', 15]\n",
"['2018-11-25 10:39:26.714773', 16]\n",
"['2018-11-25 10:39:49.629468', 17]\n",
"['2018-11-25 10:40:19.113787', 18]\n",
"['2018-11-25 10:40:35.022698', 19]\n",
"['2018-11-25 10:40:37.778244', 20]\n",
"['2018-11-25 10:40:40.635416', 21]\n",
"['2018-11-25 10:40:56.634151', 20]\n",
"['2018-11-25 10:41:08.109709', 19]\n",
"['2018-11-25 10:41:09.149281', 20]\n",
"['2018-11-25 10:41:12.832118', 19]\n",
"['2018-11-25 10:41:53.747245', 20]\n",
"['2018-11-25 10:42:06.193447', 19]\n",
"['2018-11-25 10:42:38.062808', 18]\n",
"['2018-11-25 10:44:02.818957', 16]\n",
"['2018-11-25 10:44:13.163031', 17]\n",
"['2018-11-25 10:44:17.857487', 16]\n",
"['2018-11-25 10:44:38.606217', 15]\n",
"['2018-11-25 10:44:52.379045', 14]\n",
"['2018-11-25 10:45:46.200159', 15]\n",
"['2018-11-25 10:45:48.613050', 16]\n",
"['2018-11-25 10:46:16.813109', 17]\n",
"['2018-11-25 10:46:32.519287', 16]\n",
"['2018-11-25 10:47:20.760195', 14]\n",
"['2018-11-25 10:47:50.847633', 13]\n",
"['2018-11-25 10:47:52.385085', 14]\n",
"['2018-11-25 10:48:09.496812', 15]\n",
"['2018-11-25 10:48:15.427877', 16]\n",
"['2018-11-25 10:48:20.858821', 15]\n",
"['2018-11-25 10:48:34.519243', 16]\n",
"['2018-11-25 10:49:24.596397', 15]\n",
"['2018-11-25 10:49:34.533931', 13]\n",
"['2018-11-25 10:49:54.520278', 12]\n",
"['2018-11-25 10:50:04.331414', 10]\n",
"['2018-11-25 10:50:16.927520', 9]\n",
"['2018-11-25 10:50:24.532913', 8]\n",
"['2018-11-25 10:50:35.170922', 7]\n",
"['2018-11-25 10:52:02.829773', 6]\n",
"['2018-11-25 10:53:35.212633', 4]\n",
"['2018-11-25 10:58:08.707999', 3]\n",
"['2018-11-25 10:59:54.403436', 4]\n",
"['2018-11-25 11:00:29.121034', 5]\n",
"['2018-11-25 11:09:08.445127', 3]\n",
"['2018-11-25 11:11:42.527471', 4]\n",
"['2018-11-25 11:12:55.412229', 5]\n",
"['2018-11-25 11:13:50.309015', 6]\n",
"['2018-11-25 11:13:52.976725', 7]\n",
"['2018-11-25 11:14:45.722057', 8]\n",
"['2018-11-25 11:15:33.844808', 9]\n",
"['2018-11-25 11:15:44.566469', 8]\n",
"['2018-11-25 11:17:19.343809', 9]\n",
"['2018-11-25 11:17:53.249007', 10]\n",
"['2018-11-25 11:18:58.517020', 9]\n",
"['2018-11-25 11:20:36.288344', 8]\n",
"['2018-11-25 11:20:44.463395', 9]\n",
"['2018-11-25 11:20:45.270808', 10]\n",
"['2018-11-25 11:20:46.875659', 11]\n",
"['2018-11-25 11:20:50.289328', 12]\n",
"['2018-11-25 11:20:55.148072', 13]\n",
"['2018-11-25 11:20:58.057267', 14]\n",
"['2018-11-25 11:21:14.466730', 15]\n",
"['2018-11-25 11:21:16.332182', 16]\n",
"['2018-11-25 11:21:35.798469', 17]\n",
"['2018-11-25 11:21:40.209876', 18]\n",
"['2018-11-25 11:21:53.261915', 17]\n",
"['2018-11-25 11:22:09.399837', 16]\n",
"['2018-11-25 11:22:19.669524', 17]\n",
"['2018-11-25 11:22:35.983501', 18]\n",
"['2018-11-25 11:22:36.304190', 17]\n",
"['2018-11-25 11:23:05.385976', 18]\n",
"['2018-11-25 11:24:36.933110', 19]\n",
"['2018-11-25 11:24:48.393371', 20]\n",
"['2018-11-25 11:24:52.273105', 21]\n",
"['2018-11-25 11:25:12.579578', 20]\n",
"['2018-11-25 11:25:36.731366', 18]\n",
"['2018-11-25 11:25:55.411792', 19]\n",
"['2018-11-25 11:26:28.031054', 20]\n",
"['2018-11-25 11:26:34.307733', 21]\n",
"['2018-11-25 11:26:58.983486', 20]\n",
"['2018-11-25 11:27:28.286872', 19]\n",
"['2018-11-25 11:27:43.421022', 20]\n",
"['2018-11-25 11:27:56.717167', 19]\n",
"['2018-11-25 11:28:27.565923', 20]\n",
"['2018-11-25 11:28:38.497258', 21]\n",
"['2018-11-25 11:28:50.266388', 20]\n",
"['2018-11-25 11:29:08.642836', 19]\n",
"['2018-11-25 11:29:31.679790', 20]\n",
"['2018-11-25 11:29:46.040523', 19]\n",
"['2018-11-25 11:30:02.784616', 17]\n",
"['2018-11-25 11:30:44.554862', 18]\n",
"['2018-11-25 11:30:51.317935', 17]\n",
"['2018-11-25 11:31:17.929385', 16]\n",
"['2018-11-25 11:31:37.084080', 17]\n",
"['2018-11-25 11:32:11.673426', 18]\n",
"['2018-11-25 11:32:19.423896', 19]\n",
"['2018-11-25 11:33:04.438407', 18]\n",
"['2018-11-25 11:33:40.215377', 17]\n",
"['2018-11-25 11:34:22.126673', 16]\n",
"['2018-11-25 11:34:26.290878', 15]\n",
"['2018-11-25 11:34:38.141788', 14]\n",
"['2018-11-25 11:34:42.630728', 15]\n",
"['2018-11-25 11:35:01.172147', 11]\n",
"['2018-11-25 11:35:20.099653', 12]\n",
"['2018-11-25 11:35:34.327037', 13]\n",
"['2018-11-25 11:37:01.813754', 9]\n",
"['2018-11-25 11:37:29.989389', 8]\n",
"['2018-11-25 11:37:36.956526', 9]\n",
"['2018-11-25 11:37:43.833624', 10]\n",
"['2018-11-25 11:38:04.811312', 9]\n",
"['2018-11-25 11:39:30.810408', 7]\n",
"['2018-11-25 11:40:32.451259', 5]\n",
"['2018-11-25 11:41:00.740303', 6]\n",
"['2018-11-25 11:41:44.199392', 7]\n",
"['2018-11-25 11:43:32.463290', 6]\n",
"['2018-11-25 11:43:39.189065', 5]\n",
"['2018-11-25 11:45:44.740075', 4]\n",
"['2018-11-25 11:53:17.586354', 3]\n",
"['2018-11-25 11:59:14.239639', 4]\n",
"['2018-11-25 11:59:26.632459', 5]\n",
"['2018-11-25 12:00:42.451870', 6]\n",
"['2018-11-25 12:02:02.244141', 7]\n",
"['2018-11-25 12:03:25.463277', 8]\n",
"['2018-11-25 12:04:20.674865', 7]\n",
"['2018-11-25 12:05:54.029206', 6]\n",
"['2018-11-25 12:06:12.233645', 5]\n",
"['2018-11-25 12:06:17.590773', 6]\n",
"['2018-11-25 12:06:24.801712', 7]\n",
"['2018-11-25 12:06:29.408501', 8]\n",
"['2018-11-25 12:06:30.710019', 9]\n",
"['2018-11-25 12:06:32.165591', 10]\n",
"['2018-11-25 12:06:32.873904', 11]\n",
"['2018-11-25 12:06:42.186090', 12]\n",
"['2018-11-25 12:06:46.553628', 13]\n",
"['2018-11-25 12:06:52.910223', 14]\n",
"['2018-11-25 12:06:57.782097', 15]\n",
"['2018-11-25 12:07:16.657559', 16]\n",
"['2018-11-25 12:07:20.737768', 17]\n",
"['2018-11-25 12:07:30.823351', 16]\n",
"['2018-11-25 12:07:34.338372', 17]\n",
"['2018-11-25 12:07:51.235391', 18]\n",
"['2018-11-25 12:08:08.675136', 19]\n",
"['2018-11-25 12:09:02.257906', 20]\n",
"['2018-11-25 12:09:14.503653', 21]\n",
"['2018-11-25 12:09:33.611034', 22]\n",
"['2018-11-25 12:10:13.104379', 23]\n",
"['2018-11-25 12:10:46.243659', 22]\n",
"['2018-11-25 12:10:54.255601', 21]\n",
"['2018-11-25 12:10:59.733255', 22]\n",
"['2018-11-25 12:11:37.087722', 20]\n",
"['2018-11-25 12:11:57.097066', 19]\n",
"['2018-11-25 12:12:09.790842', 18]\n",
"['2018-11-25 12:12:11.104238', 19]\n",
"['2018-11-25 12:12:12.457402', 20]\n",
"['2018-11-25 12:12:18.172280', 21]\n",
"['2018-11-25 12:13:03.375092', 20]\n",
"['2018-11-25 12:13:22.952420', 19]\n",
"['2018-11-25 12:14:11.161633', 20]\n",
"['2018-11-25 12:14:15.088010', 19]\n",
"['2018-11-25 12:14:20.137478', 18]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-25 12:14:38.957070', 19]\n",
"['2018-11-25 12:14:55.789802', 18]\n",
"['2018-11-25 12:15:00.825767', 17]\n",
"['2018-11-25 12:15:15.895102', 16]\n",
"['2018-11-25 12:15:22.372330', 17]\n",
"['2018-11-25 12:16:22.993488', 14]\n",
"['2018-11-25 12:18:32.562618', 13]\n",
"['2018-11-25 12:18:51.545363', 14]\n",
"['2018-11-25 12:18:54.011911', 15]\n",
"['2018-11-25 12:19:23.028712', 10]\n",
"['2018-11-25 12:19:29.423100', 11]\n",
"['2018-11-25 12:20:02.589540', 8]\n",
"['2018-11-25 12:20:10.376079', 9]\n",
"['2018-11-25 12:23:12.607053', 8]\n",
"['2018-11-25 12:24:11.904284', 7]\n",
"['2018-11-25 12:24:17.895164', 8]\n",
"['2018-11-25 12:25:11.148378', 9]\n",
"['2018-11-25 12:25:50.751532', 10]\n",
"['2018-11-25 12:28:14.670150', 7]\n",
"['2018-11-25 12:29:44.571959', 5]\n",
"['2018-11-25 12:30:29.645132', 4]\n",
"['2018-11-25 12:31:49.213343', 5]\n",
"['2018-11-25 12:32:44.355053', 6]\n",
"['2018-11-25 12:33:50.395237', 5]\n",
"['2018-11-25 12:37:00.292037', 4]\n",
"['2018-11-25 12:38:48.208682', 5]\n",
"['2018-11-25 12:39:22.331765', 4]\n",
"['2018-11-25 12:40:52.748225', 5]\n",
"['2018-11-25 12:44:09.782767', 6]\n",
"['2018-11-25 12:44:39.483030', 7]\n",
"['2018-11-25 12:46:40.974559', 5]\n",
"['2018-11-25 12:46:41.306353', 6]\n",
"['2018-11-25 12:46:46.956645', 7]\n",
"['2018-11-25 12:47:07.099253', 8]\n",
"['2018-11-25 12:48:20.642698', 7]\n",
"['2018-11-25 12:50:14.769287', 8]\n",
"['2018-11-25 12:50:27.008449', 9]\n",
"['2018-11-25 12:50:37.235908', 10]\n",
"['2018-11-25 12:50:40.125464', 11]\n",
"['2018-11-25 12:50:48.293611', 12]\n",
"['2018-11-25 12:51:13.624920', 11]\n",
"['2018-11-25 12:51:13.883350', 12]\n",
"['2018-11-25 12:51:29.758566', 13]\n",
"['2018-11-25 12:51:37.168586', 12]\n",
"['2018-11-25 12:51:41.122429', 11]\n",
"['2018-11-25 12:51:45.442338', 12]\n",
"['2018-11-25 12:51:53.435401', 13]\n",
"['2018-11-25 12:53:08.704857', 14]\n",
"['2018-11-25 12:53:22.471468', 13]\n",
"['2018-11-25 12:53:22.758449', 14]\n",
"['2018-11-25 12:53:22.864922', 15]\n",
"['2018-11-25 12:53:23.238945', 16]\n",
"['2018-11-25 12:53:35.015735', 17]\n",
"['2018-11-25 12:54:12.818946', 18]\n",
"['2018-11-25 12:54:25.156076', 19]\n",
"['2018-11-25 12:54:38.707376', 18]\n",
"['2018-11-25 12:54:40.884657', 19]\n",
"['2018-11-25 12:54:42.932432', 20]\n",
"['2018-11-25 12:54:49.721106', 21]\n",
"['2018-11-25 12:55:05.211782', 22]\n",
"['2018-11-25 12:55:12.456724', 23]\n",
"['2018-11-25 12:56:01.581668', 22]\n",
"['2018-11-25 12:56:23.173971', 23]\n",
"['2018-11-25 12:56:43.641137', 24]\n",
"['2018-11-25 12:56:45.788347', 23]\n",
"['2018-11-25 12:57:13.672975', 24]\n",
"['2018-11-25 12:57:17.001291', 23]\n",
"['2018-11-25 12:57:22.572769', 22]\n",
"['2018-11-25 12:57:45.059926', 23]\n",
"['2018-11-25 12:57:50.315712', 24]\n",
"['2018-11-25 12:58:43.367450', 25]\n",
"['2018-11-25 12:58:53.054707', 24]\n",
"['2018-11-25 12:59:17.136221', 23]\n",
"['2018-11-25 12:59:19.349314', 22]\n",
"['2018-11-25 12:59:19.651413', 23]\n",
"['2018-11-25 12:59:30.227467', 24]\n",
"['2018-11-25 12:59:55.351062', 23]\n",
"['2018-11-25 13:00:14.790895', 22]\n",
"['2018-11-25 13:01:01.571097', 21]\n",
"['2018-11-25 13:01:39.734816', 20]\n",
"['2018-11-25 13:02:25.908116', 18]\n",
"['2018-11-25 13:03:01.568510', 17]\n",
"['2018-11-25 13:03:42.731651', 15]\n",
"['2018-11-25 13:04:17.774469', 14]\n",
"['2018-11-25 13:04:22.556362', 11]\n",
"['2018-11-25 13:04:23.190018', 10]\n",
"['2018-11-25 13:04:43.745000', 8]\n",
"['2018-11-25 13:04:52.468485', 6]\n",
"['2018-11-25 13:04:54.680089', 7]\n",
"['2018-11-25 13:06:31.016216', 8]\n",
"['2018-11-25 13:06:36.190642', 9]\n",
"['2018-11-25 13:07:22.508465', 10]\n",
"['2018-11-25 13:07:25.394337', 11]\n",
"['2018-11-25 13:08:22.543701', 10]\n",
"['2018-11-25 13:09:04.631015', 9]\n",
"['2018-11-25 13:09:17.939587', 10]\n",
"['2018-11-25 13:10:13.454960', 9]\n",
"['2018-11-25 13:10:44.734964', 8]\n",
"['2018-11-25 13:12:41.116782', 7]\n",
"['2018-11-25 13:12:45.749798', 8]\n",
"['2018-11-25 13:12:49.022546', 9]\n",
"['2018-11-25 13:13:09.706976', 8]\n",
"['2018-11-25 13:13:24.533932', 7]\n",
"['2018-11-25 13:24:56.105670', 3]\n",
"['2018-11-25 13:25:44.810263', 4]\n",
"['2018-11-25 13:27:20.698910', 5]\n",
"['2018-11-25 13:30:08.997837', 6]\n",
"['2018-11-25 13:31:59.480589', 7]\n",
"['2018-11-25 13:32:15.322718', 8]\n",
"['2018-11-25 13:32:31.998284', 9]\n",
"['2018-11-25 13:33:07.264986', 10]\n",
"['2018-11-25 13:33:13.928119', 11]\n",
"['2018-11-25 13:35:13.911506', 10]\n",
"['2018-11-25 13:35:17.977766', 11]\n",
"['2018-11-25 13:35:18.791238', 12]\n",
"['2018-11-25 13:35:42.437332', 13]\n",
"['2018-11-25 13:36:21.978473', 14]\n",
"['2018-11-25 13:36:26.903878', 15]\n",
"['2018-11-25 13:36:28.071395', 16]\n",
"['2018-11-25 13:36:45.707433', 17]\n",
"['2018-11-25 13:36:54.383003', 18]\n",
"['2018-11-25 13:37:00.019593', 19]\n",
"['2018-11-25 13:37:18.667044', 20]\n",
"['2018-11-25 13:37:36.794676', 21]\n",
"['2018-11-25 13:37:45.392341', 20]\n",
"['2018-11-25 13:37:47.164686', 19]\n",
"['2018-11-25 13:38:00.418742', 20]\n",
"['2018-11-25 13:39:30.230895', 21]\n",
"['2018-11-25 13:39:38.605991', 22]\n",
"['2018-11-25 13:40:11.556128', 23]\n",
"['2018-11-25 13:40:59.879912', 22]\n",
"['2018-11-25 13:41:02.861836', 21]\n",
"['2018-11-25 13:41:21.742155', 19]\n",
"['2018-11-25 13:41:36.788360', 17]\n",
"['2018-11-25 13:41:42.394809', 16]\n",
"['2018-11-25 13:41:54.687326', 13]\n",
"['2018-11-25 13:41:54.872392', 14]\n",
"['2018-11-25 13:41:58.293520', 15]\n",
"['2018-11-25 13:42:01.422220', 14]\n",
"['2018-11-25 13:42:02.111895', 13]\n",
"['2018-11-25 13:42:04.710889', 14]\n",
"['2018-11-25 13:42:12.702066', 15]\n",
"['2018-11-25 13:42:33.644225', 16]\n",
"['2018-11-25 13:42:41.662593', 17]\n",
"['2018-11-25 13:42:42.613626', 18]\n",
"['2018-11-25 13:42:51.076065', 19]\n",
"['2018-11-25 13:42:56.657293', 20]\n",
"['2018-11-25 13:43:07.372198', 21]\n",
"['2018-11-25 13:43:12.166065', 20]\n",
"['2018-11-25 13:43:18.984366', 21]\n",
"['2018-11-25 13:43:19.119659', 22]\n",
"['2018-11-25 13:43:22.504293', 23]\n",
"['2018-11-25 13:43:22.564207', 24]\n",
"['2018-11-25 13:43:45.623870', 25]\n",
"['2018-11-25 13:43:54.007335', 26]\n",
"['2018-11-25 13:44:12.648086', 25]\n",
"['2018-11-25 13:44:19.552733', 26]\n",
"['2018-11-25 13:45:28.989417', 27]\n",
"['2018-11-25 13:45:58.980124', 26]\n",
"['2018-11-25 13:46:01.681140', 27]\n",
"['2018-11-25 13:46:02.551777', 26]\n",
"['2018-11-25 13:46:06.378307', 25]\n",
"['2018-11-25 13:46:13.059634', 24]\n",
"['2018-11-25 13:46:40.178638', 23]\n",
"['2018-11-25 13:46:51.164694', 22]\n",
"['2018-11-25 13:46:57.114893', 23]\n",
"['2018-11-25 13:47:03.660928', 20]\n",
"['2018-11-25 13:47:05.167786', 19]\n",
"['2018-11-25 13:47:34.346662', 17]\n",
"['2018-11-25 13:47:48.256421', 16]\n",
"['2018-11-25 13:48:00.354169', 15]\n",
"['2018-11-25 13:48:07.298780', 14]\n",
"['2018-11-25 13:48:11.595029', 15]\n",
"['2018-11-25 13:48:23.395968', 12]\n",
"['2018-11-25 13:48:35.515404', 13]\n",
"['2018-11-25 13:48:45.520116', 14]\n",
"['2018-11-25 13:48:58.348789', 15]\n",
"['2018-11-25 13:49:10.179310', 16]\n",
"['2018-11-25 13:49:26.455526', 17]\n",
"['2018-11-25 13:50:03.666754', 15]\n",
"['2018-11-25 13:51:08.885988', 14]\n",
"['2018-11-25 13:51:10.563657', 15]\n",
"['2018-11-25 13:51:22.784626', 14]\n",
"['2018-11-25 13:51:30.178487', 15]\n",
"['2018-11-25 13:51:37.231909', 16]\n",
"['2018-11-25 13:52:38.988748', 15]\n",
"['2018-11-25 13:52:48.576223', 14]\n",
"['2018-11-25 13:52:59.177169', 13]\n",
"['2018-11-25 13:53:02.910389', 12]\n",
"['2018-11-25 13:53:10.871992', 11]\n",
"['2018-11-25 13:53:20.924972', 10]\n",
"['2018-11-25 13:53:40.110575', 11]\n",
"['2018-11-25 13:54:16.460167', 10]\n",
"['2018-11-25 13:54:21.381095', 11]\n",
"['2018-11-25 13:55:34.797498', 8]\n",
"['2018-11-25 14:02:23.012192', 3]\n",
"['2018-11-25 14:09:42.111730', 4]\n",
"['2018-11-25 14:10:20.452347', 5]\n",
"['2018-11-25 14:10:41.737067', 6]\n",
"['2018-11-25 14:11:31.620997', 7]\n",
"['2018-11-25 14:11:37.218761', 8]\n",
"['2018-11-25 14:11:40.655095', 9]\n",
"['2018-11-25 14:12:02.580485', 10]\n",
"['2018-11-25 14:13:08.268994', 11]\n",
"['2018-11-25 14:14:04.532615', 10]\n",
"['2018-11-25 14:15:41.938141', 7]\n",
"['2018-11-25 14:16:01.420456', 8]\n",
"['2018-11-25 14:16:03.876221', 9]\n",
"['2018-11-25 14:16:19.690247', 10]\n",
"['2018-11-25 14:16:20.870714', 11]\n",
"['2018-11-25 14:16:22.663749', 12]\n",
"['2018-11-25 14:16:22.724824', 13]\n",
"['2018-11-25 14:16:23.196224', 14]\n",
"['2018-11-25 14:16:27.529774', 15]\n",
"['2018-11-25 14:16:27.841627', 16]\n",
"['2018-11-25 14:16:29.983069', 17]\n",
"['2018-11-25 14:16:31.214274', 18]\n",
"['2018-11-25 14:16:41.841472', 19]\n",
"['2018-11-25 14:16:46.977387', 20]\n",
"['2018-11-25 14:16:51.175607', 21]\n",
"['2018-11-25 14:16:59.104383', 22]\n",
"['2018-11-25 14:17:00.513797', 23]\n",
"['2018-11-25 14:17:05.372374', 24]\n",
"['2018-11-25 14:17:07.453703', 25]\n",
"['2018-11-25 14:17:12.360612', 24]\n",
"['2018-11-25 14:17:19.741841', 23]\n",
"['2018-11-25 14:17:35.506325', 24]\n",
"['2018-11-25 14:17:36.174484', 25]\n",
"['2018-11-25 14:17:37.332507', 26]\n",
"['2018-11-25 14:18:12.814464', 27]\n",
"['2018-11-25 14:18:13.863292', 28]\n",
"['2018-11-25 14:18:16.676001', 29]\n",
"['2018-11-25 14:18:17.854732', 30]\n",
"['2018-11-25 14:19:23.770640', 31]\n",
"['2018-11-25 14:19:27.338040', 32]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-25 14:19:31.156130', 33]\n",
"['2018-11-25 14:19:55.971343', 32]\n",
"['2018-11-25 14:20:15.686638', 31]\n",
"['2018-11-25 14:20:20.556949', 32]\n",
"['2018-11-25 14:20:24.394946', 31]\n",
"['2018-11-25 14:20:36.366633', 32]\n",
"['2018-11-25 14:20:43.092658', 33]\n",
"['2018-11-25 14:20:46.402500', 34]\n",
"['2018-11-25 14:20:49.001153', 33]\n",
"['2018-11-25 14:20:59.202275', 32]\n",
"['2018-11-25 14:21:14.934248', 33]\n",
"['2018-11-25 14:21:22.982360', 34]\n",
"['2018-11-25 14:21:37.973052', 33]\n",
"['2018-11-25 14:22:02.219699', 32]\n",
"['2018-11-25 14:22:09.359296', 33]\n",
"['2018-11-25 14:22:17.876063', 32]\n",
"['2018-11-25 14:22:20.713961', 33]\n",
"['2018-11-25 14:22:40.032425', 34]\n",
"['2018-11-25 14:22:55.161990', 33]\n",
"['2018-11-25 14:22:59.061621', 34]\n",
"['2018-11-25 14:23:16.214253', 33]\n",
"['2018-11-25 14:23:28.033435', 32]\n",
"['2018-11-25 14:23:31.196545', 31]\n",
"['2018-11-25 14:23:44.904415', 32]\n",
"['2018-11-25 14:23:48.042247', 31]\n",
"['2018-11-25 14:24:11.260202', 30]\n",
"['2018-11-25 14:24:15.818732', 28]\n",
"['2018-11-25 14:24:17.969214', 27]\n",
"['2018-11-25 14:24:19.321039', 28]\n",
"['2018-11-25 14:24:24.853383', 27]\n",
"['2018-11-25 14:24:52.906654', 26]\n",
"['2018-11-25 14:24:58.083246', 25]\n",
"['2018-11-25 14:25:37.085893', 26]\n",
"['2018-11-25 14:25:42.579522', 27]\n",
"['2018-11-25 14:25:43.142780', 28]\n",
"['2018-11-25 14:25:57.356231', 29]\n",
"['2018-11-25 14:26:19.573491', 28]\n",
"['2018-11-25 14:26:51.480949', 29]\n",
"['2018-11-25 14:26:57.017580', 28]\n",
"['2018-11-25 14:27:07.378386', 29]\n",
"['2018-11-25 14:27:14.076851', 30]\n",
"['2018-11-25 14:27:15.255898', 31]\n",
"['2018-11-25 14:27:42.914014', 30]\n",
"['2018-11-25 14:28:08.306589', 29]\n",
"['2018-11-25 14:28:12.858617', 30]\n",
"['2018-11-25 14:29:36.805531', 20]\n",
"['2018-11-25 14:30:09.004379', 13]\n",
"['2018-11-25 14:30:18.369817', 12]\n",
"['2018-11-25 14:32:07.202474', 9]\n",
"['2018-11-25 14:32:14.956822', 4]\n",
"['2018-11-25 14:32:34.684062', 5]\n",
"['2018-11-25 14:33:31.971569', 6]\n",
"['2018-11-25 14:35:05.199022', 7]\n",
"['2018-11-25 14:35:13.557613', 8]\n",
"['2018-11-25 14:42:00.154995', 2]\n",
"['2018-11-25 14:43:29.386000', 3]\n",
"['2018-11-25 14:48:46.795093', 4]\n",
"['2018-11-25 14:49:59.881627', 3]\n",
"['2018-11-25 14:53:24.748425', 4]\n",
"['2018-11-25 14:53:47.184804', 5]\n",
"['2018-11-25 14:55:08.931557', 6]\n",
"['2018-11-25 14:59:13.745934', 3]\n",
"['2018-11-25 14:59:51.746604', 4]\n",
"['2018-11-25 15:01:23.843159', 5]\n",
"['2018-11-25 15:01:25.399194', 6]\n",
"['2018-11-25 15:01:26.930092', 7]\n",
"['2018-11-25 15:01:27.419303', 8]\n",
"['2018-11-25 15:01:30.294853', 9]\n",
"['2018-11-25 15:01:41.535220', 10]\n",
"['2018-11-25 15:01:47.600079', 11]\n",
"['2018-11-25 15:01:49.618320', 12]\n",
"['2018-11-25 15:02:05.882896', 13]\n",
"['2018-11-25 15:02:25.709629', 14]\n",
"['2018-11-25 15:02:31.952518', 15]\n",
"['2018-11-25 15:02:36.321661', 16]\n",
"['2018-11-25 15:02:48.391455', 17]\n",
"['2018-11-25 15:02:51.957636', 18]\n",
"['2018-11-25 15:03:07.437109', 19]\n",
"['2018-11-25 15:03:09.031298', 20]\n",
"['2018-11-25 15:03:15.081993', 19]\n",
"['2018-11-25 15:03:27.566362', 20]\n",
"['2018-11-25 15:03:35.575464', 21]\n",
"['2018-11-25 15:03:53.889515', 20]\n",
"['2018-11-25 15:04:03.607092', 21]\n",
"['2018-11-25 15:04:10.162891', 22]\n",
"['2018-11-25 15:04:35.298503', 23]\n",
"['2018-11-25 15:04:36.487215', 24]\n",
"['2018-11-25 15:05:13.429745', 25]\n",
"['2018-11-25 15:05:13.499098', 26]\n",
"['2018-11-25 15:05:22.066397', 25]\n",
"['2018-11-25 15:05:25.669331', 26]\n",
"['2018-11-25 15:05:52.583703', 24]\n",
"['2018-11-25 15:06:03.607051', 25]\n",
"['2018-11-25 15:06:32.811589', 26]\n",
"['2018-11-25 15:06:37.668454', 27]\n",
"['2018-11-25 15:06:42.714457', 28]\n",
"['2018-11-25 15:06:43.592486', 29]\n",
"['2018-11-25 15:06:49.842614', 30]\n",
"['2018-11-25 15:06:50.754577', 31]\n",
"['2018-11-25 15:07:04.096714', 30]\n",
"['2018-11-25 15:07:39.439029', 29]\n",
"['2018-11-25 15:07:51.759643', 30]\n",
"['2018-11-25 15:08:03.901677', 29]\n",
"['2018-11-25 15:08:07.131248', 30]\n",
"['2018-11-25 15:08:28.042438', 31]\n",
"['2018-11-25 15:08:32.391784', 30]\n",
"['2018-11-25 15:09:24.943420', 31]\n",
"['2018-11-25 15:09:54.309744', 30]\n",
"['2018-11-25 15:10:10.698681', 29]\n",
"['2018-11-25 15:10:12.285140', 30]\n",
"['2018-11-25 15:10:15.159688', 31]\n",
"['2018-11-25 15:10:15.703106', 32]\n",
"['2018-11-25 15:10:21.527341', 31]\n",
"['2018-11-25 15:10:44.497405', 30]\n",
"['2018-11-25 15:12:02.906794', 26]\n",
"['2018-11-25 15:13:10.549827', 20]\n",
"['2018-11-25 15:13:33.217106', 17]\n",
"['2018-11-25 15:13:52.429297', 13]\n",
"['2018-11-25 15:14:40.485367', 9]\n",
"['2018-11-25 15:15:19.984741', 5]\n",
"['2018-11-25 15:15:23.011141', 6]\n",
"['2018-11-25 15:23:01.089459', 4]\n",
"['2018-11-25 15:26:41.614612', 3]\n",
"['2018-11-25 15:27:41.745795', 2]\n",
"['2018-11-25 15:37:24.338561', 3]\n",
"['2018-11-25 15:38:10.578617', 4]\n",
"['2018-11-25 15:39:17.777974', 5]\n",
"['2018-11-25 15:41:22.335170', 6]\n",
"['2018-11-25 15:41:54.854899', 5]\n",
"['2018-11-25 15:43:36.598238', 4]\n",
"['2018-11-25 15:43:39.483488', 5]\n",
"['2018-11-25 15:43:57.722059', 6]\n",
"['2018-11-25 15:44:01.860659', 7]\n",
"['2018-11-25 15:44:07.121420', 8]\n",
"['2018-11-25 15:44:09.370716', 9]\n",
"['2018-11-25 15:44:11.468014', 10]\n",
"['2018-11-25 15:44:13.725426', 11]\n",
"['2018-11-25 15:44:15.880290', 12]\n",
"['2018-11-25 15:44:20.279596', 13]\n",
"['2018-11-25 15:44:24.518880', 14]\n",
"['2018-11-25 15:44:34.790011', 15]\n",
"['2018-11-25 15:44:35.969268', 16]\n",
"['2018-11-25 15:44:35.985210', 17]\n",
"['2018-11-25 15:44:37.946547', 18]\n",
"['2018-11-25 15:44:47.205140', 19]\n",
"['2018-11-25 15:44:50.008219', 20]\n",
"['2018-11-25 15:45:05.181733', 21]\n",
"['2018-11-25 15:45:06.212017', 22]\n",
"['2018-11-25 15:45:16.865297', 23]\n",
"['2018-11-25 15:45:20.190028', 24]\n",
"['2018-11-25 15:45:29.435841', 25]\n",
"['2018-11-25 15:45:30.371220', 26]\n",
"['2018-11-25 15:45:32.270608', 27]\n",
"['2018-11-25 15:45:40.271526', 28]\n",
"['2018-11-25 15:45:50.850364', 29]\n",
"['2018-11-25 15:46:28.474205', 28]\n",
"['2018-11-25 15:46:35.479323', 29]\n",
"['2018-11-25 15:46:59.018461', 30]\n",
"['2018-11-25 15:47:00.663861', 31]\n",
"['2018-11-25 15:47:05.093380', 32]\n",
"['2018-11-25 15:47:39.384698', 31]\n",
"['2018-11-25 15:47:41.339957', 30]\n",
"['2018-11-25 15:47:43.928071', 31]\n",
"['2018-11-25 15:48:04.803035', 32]\n",
"['2018-11-25 15:48:05.770927', 33]\n",
"['2018-11-25 15:48:09.445709', 32]\n",
"['2018-11-25 15:48:33.678132', 33]\n",
"['2018-11-25 15:48:41.389361', 30]\n",
"['2018-11-25 15:49:15.442730', 31]\n",
"['2018-11-25 15:49:30.467734', 30]\n",
"['2018-11-25 15:49:41.754564', 31]\n",
"['2018-11-25 15:49:58.615422', 30]\n",
"['2018-11-25 15:50:04.712450', 31]\n",
"['2018-11-25 15:50:35.339140', 32]\n",
"['2018-11-25 15:50:35.561231', 33]\n",
"['2018-11-25 15:50:41.924774', 32]\n",
"['2018-11-25 15:51:09.285654', 31]\n",
"['2018-11-25 15:51:19.167085', 32]\n",
"['2018-11-25 15:51:22.869853', 33]\n",
"['2018-11-25 15:51:42.623394', 32]\n",
"['2018-11-25 15:51:58.380815', 33]\n",
"['2018-11-25 15:52:18.094010', 32]\n",
"['2018-11-25 15:52:22.980125', 33]\n",
"['2018-11-25 15:52:29.154186', 32]\n",
"['2018-11-25 15:52:30.783736', 33]\n",
"['2018-11-25 15:52:59.417520', 32]\n",
"['2018-11-25 15:54:02.627613', 31]\n",
"['2018-11-25 15:54:10.849846', 30]\n",
"['2018-11-25 15:54:27.926964', 31]\n",
"['2018-11-25 15:54:35.940834', 30]\n",
"['2018-11-25 15:54:46.128781', 29]\n",
"['2018-11-25 15:54:47.398911', 30]\n",
"['2018-11-25 15:54:53.362041', 29]\n",
"['2018-11-25 15:54:59.572596', 30]\n",
"['2018-11-25 15:55:25.060683', 31]\n",
"['2018-11-25 15:55:31.201785', 30]\n",
"['2018-11-25 15:55:37.177376', 29]\n",
"['2018-11-25 15:55:47.408583', 26]\n",
"['2018-11-25 15:56:05.236846', 25]\n",
"['2018-11-25 15:56:34.212321', 22]\n",
"['2018-11-25 15:57:04.250070', 21]\n",
"['2018-11-25 15:57:37.668628', 22]\n",
"['2018-11-25 15:57:45.678177', 21]\n",
"['2018-11-25 15:58:23.641663', 18]\n",
"['2018-11-25 15:59:46.283572', 8]\n",
"['2018-11-25 15:59:51.265710', 7]\n",
"['2018-11-25 16:00:06.260006', 6]\n",
"['2018-11-25 16:00:20.174774', 7]\n",
"['2018-11-25 16:00:20.640606', 8]\n",
"['2018-11-25 16:00:31.007190', 9]\n",
"['2018-11-25 16:01:11.402754', 10]\n",
"['2018-11-25 16:01:49.016424', 9]\n",
"['2018-11-25 16:01:59.701956', 10]\n",
"['2018-11-25 16:02:32.293083', 8]\n",
"['2018-11-25 16:04:28.842118', 7]\n",
"['2018-11-25 16:04:29.677989', 8]\n",
"['2018-11-25 16:04:59.724256', 7]\n",
"['2018-11-25 16:05:13.845577', 5]\n",
"['2018-11-25 16:06:21.940831', 6]\n",
"['2018-11-25 16:10:26.171296', 5]\n",
"['2018-11-25 16:11:39.341196', 4]\n",
"['2018-11-25 16:16:49.308357', 2]\n",
"['2018-11-25 16:21:00.611467', 3]\n",
"['2018-11-25 16:24:50.079451', 4]\n",
"['2018-11-25 16:25:12.797771', 3]\n",
"['2018-11-25 16:27:02.407166', 4]\n",
"['2018-11-25 16:27:48.470771', 5]\n",
"['2018-11-25 16:29:33.536880', 4]\n",
"['2018-11-25 16:29:59.326275', 5]\n",
"['2018-11-25 16:30:32.998582', 6]\n",
"['2018-11-25 16:30:59.527810', 7]\n",
"['2018-11-25 16:31:11.710984', 8]\n",
"['2018-11-25 16:31:16.724425', 9]\n",
"['2018-11-25 16:31:19.046962', 10]\n",
"['2018-11-25 16:31:22.050949', 11]\n",
"['2018-11-25 16:31:28.560866', 10]\n",
"['2018-11-25 16:31:30.759947', 11]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-25 16:31:34.652979', 12]\n",
"['2018-11-25 16:31:37.863574', 13]\n",
"['2018-11-25 16:31:46.397925', 14]\n",
"['2018-11-25 16:31:49.278903', 15]\n",
"['2018-11-25 16:31:54.802112', 16]\n",
"['2018-11-25 16:32:24.763460', 17]\n",
"['2018-11-25 16:32:26.770996', 18]\n",
"['2018-11-25 16:32:29.282421', 19]\n",
"['2018-11-25 16:33:07.271964', 20]\n",
"['2018-11-25 16:33:18.662266', 21]\n",
"['2018-11-25 16:34:00.152404', 20]\n",
"['2018-11-25 16:34:30.476697', 21]\n",
"['2018-11-25 16:34:46.387293', 20]\n",
"['2018-11-25 16:35:04.457977', 21]\n",
"['2018-11-25 16:35:50.109793', 22]\n",
"['2018-11-25 16:36:14.865590', 23]\n",
"['2018-11-25 16:36:45.288882', 24]\n",
"['2018-11-25 16:37:00.658086', 25]\n",
"['2018-11-25 16:37:17.265279', 26]\n",
"['2018-11-25 16:37:21.724588', 27]\n",
"['2018-11-25 16:37:39.641386', 26]\n",
"['2018-11-25 16:37:43.986356', 27]\n",
"['2018-11-25 16:37:46.715032', 28]\n",
"['2018-11-25 16:38:26.767366', 27]\n",
"['2018-11-25 16:39:17.153861', 25]\n",
"['2018-11-25 16:39:30.591688', 26]\n",
"['2018-11-25 16:39:34.710597', 27]\n",
"['2018-11-25 16:40:14.052870', 25]\n",
"['2018-11-25 16:40:15.644637', 26]\n",
"['2018-11-25 16:42:07.882519', 19]\n",
"['2018-11-25 16:42:08.034244', 20]\n",
"['2018-11-25 16:42:15.866477', 21]\n",
"['2018-11-25 16:42:22.857860', 20]\n",
"['2018-11-25 16:42:26.273265', 21]\n",
"['2018-11-25 16:42:28.317345', 22]\n",
"['2018-11-25 16:42:51.556773', 23]\n",
"['2018-11-25 16:42:58.319922', 22]\n",
"['2018-11-25 16:43:01.495119', 23]\n",
"['2018-11-25 16:43:07.787776', 22]\n",
"['2018-11-25 16:43:25.988289', 23]\n",
"['2018-11-25 16:43:46.571196', 22]\n",
"['2018-11-25 16:43:50.626006', 21]\n",
"['2018-11-25 16:44:01.272437', 20]\n",
"['2018-11-25 16:44:18.825371', 16]\n",
"['2018-11-25 16:44:23.830925', 15]\n",
"['2018-11-25 16:46:01.286227', 9]\n",
"['2018-11-25 16:47:05.163468', 7]\n",
"['2018-11-25 16:47:27.259426', 6]\n",
"['2018-11-25 16:48:05.273049', 3]\n",
"['2018-11-25 16:49:01.225703', 4]\n",
"['2018-11-25 16:51:43.730699', 3]\n",
"['2018-11-25 17:06:01.363591', 2]\n",
"['2018-11-25 17:06:52.248373', 3]\n",
"['2018-11-25 17:08:04.639661', 4]\n",
"['2018-11-25 17:08:50.033301', 5]\n",
"['2018-11-25 17:09:59.695603', 6]\n",
"['2018-11-25 17:11:00.113011', 5]\n",
"['2018-11-25 17:11:00.626685', 6]\n",
"['2018-11-25 17:11:18.499672', 7]\n",
"['2018-11-25 17:11:24.021596', 8]\n",
"['2018-11-25 17:12:13.199751', 9]\n",
"['2018-11-25 17:13:05.251593', 10]\n",
"['2018-11-25 17:13:20.858384', 11]\n",
"['2018-11-25 17:13:33.812410', 10]\n",
"['2018-11-25 17:14:02.001165', 11]\n",
"['2018-11-25 17:14:19.555421', 12]\n",
"['2018-11-25 17:15:39.336945', 11]\n",
"['2018-11-25 17:16:10.983772', 12]\n",
"['2018-11-25 17:16:29.487852', 13]\n",
"['2018-11-25 17:16:31.329230', 14]\n",
"['2018-11-25 17:16:36.947712', 13]\n",
"['2018-11-25 17:16:37.134547', 14]\n",
"['2018-11-25 17:16:39.353228', 15]\n",
"['2018-11-25 17:16:40.893073', 16]\n",
"['2018-11-25 17:16:41.082396', 17]\n",
"['2018-11-25 17:16:42.846544', 18]\n",
"['2018-11-25 17:16:44.522018', 19]\n",
"['2018-11-25 17:16:45.523793', 20]\n",
"['2018-11-25 17:16:46.924433', 21]\n",
"['2018-11-25 17:16:48.805022', 22]\n",
"['2018-11-25 17:16:49.651219', 23]\n",
"['2018-11-25 17:17:10.553619', 24]\n",
"['2018-11-25 17:17:12.669044', 25]\n",
"['2018-11-25 17:17:24.837912', 24]\n",
"['2018-11-25 17:17:43.952482', 25]\n",
"['2018-11-25 17:18:01.936829', 26]\n",
"['2018-11-25 17:18:17.138060', 27]\n",
"['2018-11-25 17:18:23.797907', 28]\n",
"['2018-11-25 17:18:31.117943', 27]\n",
"['2018-11-25 17:18:52.215904', 28]\n",
"['2018-11-25 17:18:55.827089', 29]\n",
"['2018-11-25 17:19:18.639143', 30]\n",
"['2018-11-25 17:19:18.909032', 31]\n",
"['2018-11-25 17:19:22.625258', 30]\n",
"['2018-11-25 17:19:42.308508', 29]\n",
"['2018-11-25 17:20:10.533839', 28]\n",
"['2018-11-25 17:20:15.991040', 27]\n",
"['2018-11-25 17:20:33.181901', 28]\n",
"['2018-11-25 17:20:37.683859', 29]\n",
"['2018-11-25 17:20:39.674509', 30]\n",
"['2018-11-25 17:20:41.347097', 31]\n",
"['2018-11-25 17:21:03.263032', 32]\n",
"['2018-11-25 17:21:10.533179', 31]\n",
"['2018-11-25 17:21:33.320142', 30]\n",
"['2018-11-25 17:21:41.818638', 29]\n",
"['2018-11-25 17:22:08.767107', 30]\n",
"['2018-11-25 17:22:18.651864', 29]\n",
"['2018-11-25 17:22:32.707304', 28]\n",
"['2018-11-25 17:22:36.559611', 29]\n",
"['2018-11-25 17:22:39.146095', 28]\n",
"['2018-11-25 17:22:39.355644', 29]\n",
"['2018-11-25 17:22:58.051719', 28]\n",
"['2018-11-25 17:23:22.453904', 29]\n",
"['2018-11-25 17:24:02.661534', 30]\n",
"['2018-11-25 17:24:34.323819', 29]\n",
"['2018-11-25 17:24:40.474901', 30]\n",
"['2018-11-25 17:24:43.475550', 28]\n",
"['2018-11-25 17:25:14.643776', 29]\n",
"['2018-11-25 17:25:29.634551', 28]\n",
"['2018-11-25 17:25:50.869910', 29]\n",
"['2018-11-25 17:27:31.689927', 24]\n",
"['2018-11-25 17:28:45.831833', 21]\n",
"['2018-11-25 17:29:29.188301', 10]\n",
"['2018-11-25 17:29:51.964862', 8]\n",
"['2018-11-25 17:30:21.957025', 6]\n",
"['2018-11-25 17:31:12.563133', 7]\n",
"['2018-11-25 17:35:26.713227', 5]\n",
"['2018-11-25 17:35:31.957244', 6]\n",
"['2018-11-25 17:35:40.690950', 5]\n",
"['2018-11-25 17:36:16.691089', 3]\n",
"['2018-11-25 17:36:29.467386', 4]\n",
"['2018-11-25 17:44:19.924858', 2]\n",
"['2018-11-25 17:47:45.544428', 3]\n",
"['2018-11-25 17:52:23.016316', 2]\n",
"['2018-11-25 17:55:55.921996', 3]\n",
"['2018-11-25 17:56:44.191981', 2]\n",
"['2018-11-25 17:56:54.908898', 3]\n",
"['2018-11-25 17:57:14.432908', 4]\n",
"['2018-11-25 17:57:49.383284', 5]\n",
"['2018-11-25 17:57:50.240867', 6]\n",
"['2018-11-25 17:58:09.180497', 7]\n",
"['2018-11-25 17:58:21.542782', 8]\n",
"['2018-11-25 17:59:05.124154', 9]\n",
"['2018-11-25 17:59:59.579968', 10]\n",
"['2018-11-25 18:00:19.674515', 11]\n",
"['2018-11-25 18:00:25.116237', 12]\n",
"['2018-11-25 18:00:28.558219', 13]\n",
"['2018-11-25 18:00:29.813583', 14]\n",
"['2018-11-25 18:00:30.235621', 15]\n",
"['2018-11-25 18:00:33.490992', 16]\n",
"['2018-11-25 18:00:35.191292', 17]\n",
"['2018-11-25 18:00:36.841324', 18]\n",
"['2018-11-25 18:00:39.254371', 19]\n",
"['2018-11-25 18:00:49.831184', 20]\n",
"['2018-11-25 18:00:50.888211', 21]\n",
"['2018-11-25 18:00:50.896014', 22]\n",
"['2018-11-25 18:00:51.072296', 23]\n",
"['2018-11-25 18:01:01.349005', 24]\n",
"['2018-11-25 18:01:09.745197', 25]\n",
"['2018-11-25 18:01:10.544401', 26]\n",
"['2018-11-25 18:01:11.337997', 27]\n",
"['2018-11-25 18:01:15.376911', 26]\n",
"['2018-11-25 18:01:17.331666', 27]\n",
"['2018-11-25 18:01:18.077658', 28]\n",
"['2018-11-25 18:01:20.087545', 29]\n",
"['2018-11-25 18:01:22.240882', 30]\n",
"['2018-11-25 18:01:23.899923', 31]\n",
"['2018-11-25 18:01:25.397813', 32]\n",
"['2018-11-25 18:01:35.146595', 33]\n",
"['2018-11-25 18:01:39.377132', 34]\n",
"['2018-11-25 18:01:49.154278', 35]\n",
"['2018-11-25 18:01:51.350380', 34]\n",
"['2018-11-25 18:01:55.524599', 35]\n",
"['2018-11-25 18:02:14.004277', 36]\n",
"['2018-11-25 18:02:32.236259', 37]\n",
"['2018-11-25 18:02:34.701388', 38]\n",
"['2018-11-25 18:03:01.844211', 37]\n",
"['2018-11-25 18:03:03.089000', 38]\n",
"['2018-11-25 18:03:06.079750', 37]\n",
"['2018-11-25 18:03:32.621183', 36]\n",
"['2018-11-25 18:04:09.455366', 37]\n",
"['2018-11-25 18:04:25.365172', 36]\n",
"['2018-11-25 18:04:30.042626', 35]\n",
"['2018-11-25 18:04:31.878183', 36]\n",
"['2018-11-25 18:04:36.781908', 35]\n",
"['2018-11-25 18:05:01.201787', 34]\n",
"['2018-11-25 18:05:16.137970', 33]\n",
"['2018-11-25 18:05:45.192573', 31]\n",
"['2018-11-25 18:06:24.037899', 32]\n",
"['2018-11-25 18:06:31.847098', 31]\n",
"['2018-11-25 18:06:34.902177', 30]\n",
"['2018-11-25 18:06:36.995001', 31]\n",
"['2018-11-25 18:06:37.359634', 32]\n",
"['2018-11-25 18:06:45.192533', 31]\n",
"['2018-11-25 18:06:49.728615', 32]\n",
"['2018-11-25 18:06:56.682361', 33]\n",
"['2018-11-25 18:06:59.230254', 34]\n",
"['2018-11-25 18:07:07.160940', 33]\n",
"['2018-11-25 18:07:10.547946', 32]\n",
"['2018-11-25 18:07:12.156615', 33]\n",
"['2018-11-25 18:07:12.531398', 34]\n",
"['2018-11-25 18:07:13.601333', 35]\n",
"['2018-11-25 18:07:20.089824', 36]\n",
"['2018-11-25 18:07:23.470589', 35]\n",
"['2018-11-25 18:07:33.401341', 34]\n",
"['2018-11-25 18:07:54.096647', 33]\n",
"['2018-11-25 18:08:03.289867', 34]\n",
"['2018-11-25 18:08:03.877416', 35]\n",
"['2018-11-25 18:08:04.163027', 36]\n",
"['2018-11-25 18:08:11.069745', 37]\n",
"['2018-11-25 18:08:17.755495', 38]\n",
"['2018-11-25 18:08:21.161547', 37]\n",
"['2018-11-25 18:08:28.545692', 38]\n",
"['2018-11-25 18:08:30.101235', 37]\n",
"['2018-11-25 18:08:31.904885', 36]\n",
"['2018-11-25 18:08:37.771374', 37]\n",
"['2018-11-25 18:09:18.153794', 38]\n",
"['2018-11-25 18:09:22.375198', 39]\n",
"['2018-11-25 18:09:55.914851', 40]\n",
"['2018-11-25 18:10:06.515293', 41]\n",
"['2018-11-25 18:10:06.899866', 42]\n",
"['2018-11-25 18:10:14.496809', 43]\n",
"['2018-11-25 18:10:32.954886', 42]\n",
"['2018-11-25 18:10:56.842640', 41]\n",
"['2018-11-25 18:13:10.363139', 27]\n",
"['2018-11-25 18:13:18.245307', 24]\n",
"['2018-11-25 18:13:50.207707', 19]\n",
"['2018-11-25 18:14:22.457151', 12]\n",
"['2018-11-25 18:16:19.911555', 6]\n",
"['2018-11-25 18:16:25.920103', 7]\n",
"['2018-11-25 18:16:28.061653', 8]\n",
"['2018-11-25 18:16:47.107364', 9]\n",
"['2018-11-25 18:17:13.545408', 8]\n",
"['2018-11-25 18:18:24.992685', 7]\n",
"['2018-11-25 18:19:02.211539', 8]\n",
"['2018-11-25 18:19:27.014343', 9]\n",
"['2018-11-25 18:20:04.817249', 10]\n",
"['2018-11-25 18:20:31.006331', 8]\n",
"['2018-11-25 18:20:58.966752', 7]\n",
"['2018-11-25 18:21:32.962738', 8]\n",
"['2018-11-25 18:21:37.429186', 9]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-25 18:22:32.647325', 7]\n",
"['2018-11-25 18:23:15.103406', 8]\n",
"['2018-11-25 18:24:14.591404', 6]\n",
"['2018-11-25 18:36:10.849821', 2]\n",
"['2018-11-25 18:37:59.088205', 3]\n",
"['2018-11-25 18:43:41.157184', 4]\n",
"['2018-11-25 18:44:27.486279', 5]\n",
"['2018-11-25 18:45:20.427792', 6]\n",
"['2018-11-25 18:45:20.938091', 7]\n",
"['2018-11-25 18:45:34.255212', 6]\n",
"['2018-11-25 18:45:55.251275', 7]\n",
"['2018-11-25 18:46:26.542160', 8]\n",
"['2018-11-25 18:47:04.594881', 9]\n",
"['2018-11-25 18:47:30.854336', 10]\n",
"['2018-11-25 18:47:39.558746', 11]\n",
"['2018-11-25 18:47:46.402209', 12]\n",
"['2018-11-25 18:47:59.619865', 13]\n",
"['2018-11-25 18:48:03.683410', 14]\n",
"['2018-11-25 18:48:10.556976', 15]\n",
"['2018-11-25 18:48:17.625459', 16]\n",
"['2018-11-25 18:48:20.462706', 17]\n",
"['2018-11-25 18:48:45.711867', 15]\n",
"['2018-11-25 18:48:53.002299', 16]\n",
"['2018-11-25 18:49:07.214368', 17]\n",
"['2018-11-25 18:49:15.708604', 18]\n",
"['2018-11-25 18:49:33.897351', 19]\n",
"['2018-11-25 18:50:43.041125', 18]\n",
"['2018-11-25 18:50:51.840763', 17]\n",
"['2018-11-25 18:51:06.423211', 16]\n",
"['2018-11-25 18:51:17.983959', 17]\n",
"['2018-11-25 18:51:20.046080', 18]\n",
"['2018-11-25 18:51:33.324018', 17]\n",
"['2018-11-25 18:52:08.633624', 16]\n",
"['2018-11-25 18:52:20.689886', 17]\n",
"['2018-11-25 18:52:27.453322', 18]\n",
"['2018-11-25 18:52:29.513069', 19]\n",
"['2018-11-25 18:53:35.723549', 18]\n",
"['2018-11-25 18:53:40.868142', 19]\n",
"['2018-11-25 18:54:25.424593', 20]\n",
"['2018-11-25 18:54:39.178278', 21]\n",
"['2018-11-25 18:54:52.707116', 22]\n",
"['2018-11-25 18:55:14.973751', 23]\n",
"['2018-11-25 18:55:27.193115', 24]\n",
"['2018-11-25 18:55:32.952091', 25]\n",
"['2018-11-25 18:55:33.538169', 26]\n",
"['2018-11-25 18:57:10.371173', 25]\n",
"['2018-11-25 18:57:32.275966', 24]\n",
"['2018-11-25 18:57:36.289115', 25]\n",
"['2018-11-25 18:57:45.405760', 24]\n",
"['2018-11-25 18:58:13.755722', 23]\n",
"['2018-11-25 18:58:25.858571', 20]\n",
"['2018-11-25 18:58:35.353441', 19]\n",
"['2018-11-25 18:58:40.991455', 17]\n",
"['2018-11-25 18:58:53.922213', 16]\n",
"['2018-11-25 18:59:08.183423', 15]\n",
"['2018-11-25 18:59:23.012476', 13]\n",
"['2018-11-25 18:59:43.027677', 10]\n",
"['2018-11-25 18:59:45.099133', 8]\n",
"['2018-11-25 19:00:03.834383', 9]\n",
"['2018-11-25 19:00:04.110870', 10]\n",
"['2018-11-25 19:00:11.111766', 11]\n",
"['2018-11-25 19:00:17.817205', 10]\n",
"['2018-11-25 19:00:32.962000', 11]\n",
"['2018-11-25 19:00:37.818061', 12]\n",
"['2018-11-25 19:00:49.210073', 13]\n",
"['2018-11-25 19:02:40.014564', 12]\n",
"['2018-11-25 19:03:15.871209', 11]\n",
"['2018-11-25 19:03:28.406737', 10]\n",
"['2018-11-25 19:03:35.866848', 11]\n",
"['2018-11-25 19:03:44.767643', 12]\n",
"['2018-11-25 19:04:33.288951', 10]\n",
"['2018-11-25 19:05:50.273123', 5]\n",
"['2018-11-25 19:07:40.167029', 4]\n",
"['2018-11-25 19:07:54.974184', 3]\n",
"['2018-11-25 19:20:15.437183', 2]\n",
"['2018-11-25 19:20:44.799466', 3]\n",
"['2018-11-25 19:21:57.127938', 4]\n",
"['2018-11-25 19:22:48.419606', 5]\n",
"['2018-11-25 19:23:03.964004', 6]\n",
"['2018-11-25 19:24:05.520880', 7]\n",
"['2018-11-25 19:28:05.550587', 4]\n",
"['2018-11-25 19:28:16.604773', 5]\n",
"['2018-11-25 19:28:53.539481', 6]\n",
"['2018-11-25 19:29:30.786441', 7]\n",
"['2018-11-25 19:29:35.217935', 8]\n",
"['2018-11-25 19:29:43.338888', 9]\n",
"['2018-11-25 19:29:51.750695', 8]\n",
"['2018-11-25 19:30:49.657802', 9]\n",
"['2018-11-25 19:30:49.973085', 10]\n",
"['2018-11-25 19:31:08.259691', 11]\n",
"['2018-11-25 19:31:09.813574', 12]\n",
"['2018-11-25 19:31:19.807650', 13]\n",
"['2018-11-25 19:31:27.066877', 14]\n",
"['2018-11-25 19:31:39.402500', 15]\n",
"['2018-11-25 19:31:45.862580', 16]\n",
"['2018-11-25 19:32:27.066714', 13]\n",
"['2018-11-25 19:32:43.204822', 14]\n",
"['2018-11-25 19:32:45.162653', 15]\n",
"['2018-11-25 19:32:50.730654', 16]\n",
"['2018-11-25 19:32:53.653110', 15]\n",
"['2018-11-25 19:33:01.838627', 16]\n",
"['2018-11-25 19:33:10.340087', 17]\n",
"['2018-11-25 19:33:10.567460', 18]\n",
"['2018-11-25 19:33:20.141810', 19]\n",
"['2018-11-25 19:33:31.872251', 18]\n",
"['2018-11-25 19:34:14.233229', 19]\n",
"['2018-11-25 19:34:28.783286', 18]\n",
"['2018-11-25 19:34:31.369289', 19]\n",
"['2018-11-25 19:34:50.734627', 18]\n",
"['2018-11-25 19:34:52.893288', 19]\n",
"['2018-11-25 19:34:53.745905', 20]\n",
"['2018-11-25 19:35:21.427981', 18]\n",
"['2018-11-25 19:36:10.566981', 17]\n",
"['2018-11-25 19:36:50.727247', 15]\n",
"['2018-11-25 19:37:07.267284', 16]\n",
"['2018-11-25 19:37:34.627637', 17]\n",
"['2018-11-25 19:37:40.112646', 18]\n",
"['2018-11-25 19:37:41.136206', 19]\n",
"['2018-11-25 19:38:13.830259', 20]\n",
"['2018-11-25 19:38:41.385592', 19]\n",
"['2018-11-25 19:39:04.484532', 20]\n",
"['2018-11-25 19:40:02.725413', 21]\n",
"['2018-11-25 19:40:12.061838', 22]\n",
"['2018-11-25 19:40:26.172777', 21]\n",
"['2018-11-25 19:41:02.112474', 20]\n",
"['2018-11-25 19:41:24.031967', 18]\n",
"['2018-11-25 19:42:13.388328', 19]\n",
"['2018-11-25 19:42:26.421724', 18]\n",
"['2018-11-25 19:42:26.811430', 19]\n",
"['2018-11-25 19:43:17.697137', 18]\n",
"['2018-11-25 19:43:35.939051', 19]\n",
"['2018-11-25 19:43:44.020133', 18]\n",
"['2018-11-25 19:44:05.972615', 15]\n",
"['2018-11-25 19:44:14.061751', 13]\n",
"['2018-11-25 19:44:28.441378', 10]\n",
"['2018-11-25 19:44:54.684237', 11]\n",
"['2018-11-25 19:45:31.845147', 12]\n",
"['2018-11-25 19:46:00.775837', 11]\n",
"['2018-11-25 19:46:34.291081', 9]\n",
"['2018-11-25 19:47:35.300868', 8]\n",
"['2018-11-25 19:47:41.798746', 9]\n",
"['2018-11-25 19:47:45.142991', 8]\n",
"['2018-11-25 19:49:39.392138', 5]\n",
"['2018-11-25 19:54:18.163915', 2]\n",
"['2018-11-25 20:05:59.464829', 3]\n",
"['2018-11-25 20:06:27.805908', 4]\n",
"['2018-11-25 20:07:31.752183', 5]\n",
"['2018-11-25 20:08:00.585028', 6]\n",
"['2018-11-25 20:10:58.647929', 4]\n",
"['2018-11-25 20:11:14.126636', 5]\n",
"['2018-11-25 20:12:54.833053', 4]\n",
"['2018-11-25 20:13:40.307515', 5]\n",
"['2018-11-25 20:13:53.077019', 6]\n",
"['2018-11-25 20:13:54.384444', 7]\n",
"['2018-11-25 20:14:10.577239', 8]\n",
"['2018-11-25 20:14:27.087117', 9]\n",
"['2018-11-25 20:19:59.363426', 2]\n",
"['2018-11-25 20:59:35.651231', 3]\n",
"['2018-11-25 21:19:03.578305', 2]\n",
"['2018-11-26 04:44:49.811693', 3]\n",
"['2018-11-26 04:53:00.680529', 2]\n",
"['2018-11-26 04:54:52.146736', 3]\n",
"['2018-11-26 04:54:53.047661', 4]\n",
"['2018-11-26 05:36:50.861981', 2]\n",
"['2018-11-26 05:41:34.925399', 3]\n",
"['2018-11-26 05:59:54.532503', 2]\n",
"['2018-11-26 06:06:57.408477', 3]\n",
"['2018-11-26 06:08:43.394911', 2]\n",
"['2018-11-26 06:09:20.931711', 3]\n",
"['2018-11-26 06:09:47.186591', 4]\n",
"['2018-11-26 06:10:14.936715', 5]\n",
"['2018-11-26 06:10:47.418155', 6]\n",
"['2018-11-26 06:10:47.542923', 7]\n",
"['2018-11-26 06:11:10.963642', 8]\n",
"['2018-11-26 06:12:50.868531', 9]\n",
"['2018-11-26 06:13:00.062255', 10]\n",
"['2018-11-26 06:13:21.430134', 9]\n",
"['2018-11-26 06:13:33.778452', 8]\n",
"['2018-11-26 06:13:47.531459', 7]\n",
"['2018-11-26 06:15:56.321556', 8]\n",
"['2018-11-26 06:16:04.015999', 9]\n",
"['2018-11-26 06:17:52.188229', 10]\n",
"['2018-11-26 06:18:24.718943', 11]\n",
"['2018-11-26 06:26:49.390015', 2]\n",
"['2018-11-26 06:29:44.254726', 3]\n",
"['2018-11-26 06:51:17.993165', 2]\n",
"['2018-11-26 06:54:18.080345', 3]\n",
"['2018-11-26 06:54:30.289237', 4]\n",
"['2018-11-26 06:55:06.614292', 5]\n",
"['2018-11-26 06:55:11.250843', 6]\n",
"['2018-11-26 06:57:01.182686', 7]\n",
"['2018-11-26 06:59:45.686869', 8]\n",
"['2018-11-26 07:00:07.196600', 9]\n",
"['2018-11-26 07:01:13.773360', 7]\n",
"['2018-11-26 07:01:34.711663', 5]\n",
"['2018-11-26 07:02:21.238763', 6]\n",
"['2018-11-26 07:02:29.468831', 7]\n",
"['2018-11-26 07:02:31.851140', 8]\n",
"['2018-11-26 07:02:36.061820', 9]\n",
"['2018-11-26 07:02:36.780881', 10]\n",
"['2018-11-26 07:02:38.957874', 11]\n",
"['2018-11-26 07:02:47.558037', 12]\n",
"['2018-11-26 07:02:48.499069', 13]\n",
"['2018-11-26 07:02:59.151448', 14]\n",
"['2018-11-26 07:03:40.118557', 15]\n",
"['2018-11-26 07:03:41.171957', 16]\n",
"['2018-11-26 07:03:46.465153', 15]\n",
"['2018-11-26 07:04:10.131544', 16]\n",
"['2018-11-26 07:04:31.303888', 17]\n",
"['2018-11-26 07:04:36.379986', 18]\n",
"['2018-11-26 07:04:37.800190', 17]\n",
"['2018-11-26 07:04:48.464503', 18]\n",
"['2018-11-26 07:04:58.965215', 19]\n",
"['2018-11-26 07:05:14.628199', 20]\n",
"['2018-11-26 07:05:18.825692', 21]\n",
"['2018-11-26 07:05:42.998322', 22]\n",
"['2018-11-26 07:05:46.538988', 23]\n",
"['2018-11-26 07:06:15.125134', 24]\n",
"['2018-11-26 07:06:27.917058', 23]\n",
"['2018-11-26 07:06:39.776614', 21]\n",
"['2018-11-26 07:06:50.887044', 20]\n",
"['2018-11-26 07:06:52.175641', 21]\n",
"['2018-11-26 07:07:03.019175', 22]\n",
"['2018-11-26 07:07:04.653429', 23]\n",
"['2018-11-26 07:07:25.704682', 22]\n",
"['2018-11-26 07:08:04.865751', 23]\n",
"['2018-11-26 07:08:10.712787', 22]\n",
"['2018-11-26 07:08:11.740108', 23]\n",
"['2018-11-26 07:08:17.591729', 24]\n",
"['2018-11-26 07:08:48.719215', 25]\n",
"['2018-11-26 07:08:59.223147', 24]\n",
"['2018-11-26 07:09:10.094731', 25]\n",
"['2018-11-26 07:09:20.141099', 24]\n",
"['2018-11-26 07:09:37.917785', 23]\n",
"['2018-11-26 07:10:01.349784', 22]\n",
"['2018-11-26 07:10:17.955398', 23]\n",
"['2018-11-26 07:10:45.854067', 24]\n",
"['2018-11-26 07:11:10.797081', 23]\n",
"['2018-11-26 07:11:11.651655', 24]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-26 07:11:50.445310', 23]\n",
"['2018-11-26 07:12:14.020880', 22]\n",
"['2018-11-26 07:12:29.968818', 21]\n",
"['2018-11-26 07:12:52.208936', 22]\n",
"['2018-11-26 07:13:00.798011', 21]\n",
"['2018-11-26 07:13:27.208946', 20]\n",
"['2018-11-26 07:13:47.134467', 21]\n",
"['2018-11-26 07:14:17.498440', 18]\n",
"['2018-11-26 07:14:34.825117', 19]\n",
"['2018-11-26 07:14:49.753577', 18]\n",
"['2018-11-26 07:15:20.835212', 17]\n",
"['2018-11-26 07:15:28.319343', 16]\n",
"['2018-11-26 07:15:55.437902', 14]\n",
"['2018-11-26 07:15:57.465699', 13]\n",
"['2018-11-26 07:16:15.576815', 14]\n",
"['2018-11-26 07:17:36.376028', 13]\n",
"['2018-11-26 07:17:51.956826', 14]\n",
"['2018-11-26 07:18:36.477847', 13]\n",
"['2018-11-26 07:19:23.037213', 11]\n",
"['2018-11-26 07:19:50.968974', 12]\n",
"['2018-11-26 07:20:26.537042', 11]\n",
"['2018-11-26 07:21:00.743900', 10]\n",
"['2018-11-26 07:21:04.352866', 11]\n",
"['2018-11-26 07:22:02.657832', 10]\n",
"['2018-11-26 07:23:10.827871', 8]\n",
"['2018-11-26 07:23:48.240422', 9]\n",
"['2018-11-26 07:24:10.828697', 7]\n",
"['2018-11-26 07:25:15.517166', 8]\n",
"['2018-11-26 07:25:26.108650', 9]\n",
"['2018-11-26 07:25:49.746001', 8]\n",
"['2018-11-26 07:26:23.921589', 7]\n",
"['2018-11-26 07:34:31.718480', 2]\n",
"['2018-11-26 07:35:01.707452', 3]\n",
"['2018-11-26 07:36:57.324208', 4]\n",
"['2018-11-26 07:37:05.543308', 5]\n",
"['2018-11-26 07:39:15.674994', 6]\n",
"['2018-11-26 07:41:09.816348', 7]\n",
"['2018-11-26 07:42:01.352067', 6]\n",
"['2018-11-26 07:45:00.774172', 7]\n",
"['2018-11-26 07:45:32.039026', 6]\n",
"['2018-11-26 07:46:34.868335', 7]\n",
"['2018-11-26 07:47:07.722463', 8]\n",
"['2018-11-26 07:48:55.875052', 9]\n",
"['2018-11-26 07:49:04.498012', 10]\n",
"['2018-11-26 07:50:45.288728', 11]\n",
"['2018-11-26 07:51:29.511390', 10]\n",
"['2018-11-26 07:51:47.403966', 11]\n",
"['2018-11-26 07:52:40.969308', 12]\n",
"['2018-11-26 07:53:05.920255', 11]\n",
"['2018-11-26 07:53:29.953075', 10]\n",
"['2018-11-26 07:53:38.569745', 11]\n",
"['2018-11-26 07:53:50.292667', 10]\n",
"['2018-11-26 07:55:39.777872', 11]\n",
"['2018-11-26 07:56:24.846926', 12]\n",
"['2018-11-26 07:56:38.463200', 13]\n",
"['2018-11-26 07:56:43.986854', 10]\n",
"['2018-11-26 07:56:57.566265', 11]\n",
"['2018-11-26 07:57:39.206600', 10]\n",
"['2018-11-26 07:57:42.220049', 11]\n",
"['2018-11-26 07:57:55.728725', 12]\n",
"['2018-11-26 07:58:06.840297', 13]\n",
"['2018-11-26 07:58:45.736102', 14]\n",
"['2018-11-26 07:59:24.533398', 15]\n",
"['2018-11-26 08:00:00.211268', 16]\n",
"['2018-11-26 08:00:01.236708', 17]\n",
"['2018-11-26 08:00:16.699897', 18]\n",
"['2018-11-26 08:02:00.708997', 17]\n",
"['2018-11-26 08:02:36.209999', 18]\n",
"['2018-11-26 08:02:52.698748', 19]\n",
"['2018-11-26 08:03:06.647548', 18]\n",
"['2018-11-26 08:03:35.167528', 17]\n",
"['2018-11-26 08:03:51.427099', 18]\n",
"['2018-11-26 08:03:58.764860', 19]\n",
"['2018-11-26 08:04:09.597979', 17]\n",
"['2018-11-26 08:04:23.939363', 15]\n",
"['2018-11-26 08:05:05.726429', 16]\n",
"['2018-11-26 08:05:11.916420', 15]\n",
"['2018-11-26 08:05:33.793051', 16]\n",
"['2018-11-26 08:05:43.282587', 17]\n",
"['2018-11-26 08:05:48.281595', 16]\n",
"['2018-11-26 08:06:26.192803', 17]\n",
"['2018-11-26 08:06:53.055779', 15]\n",
"['2018-11-26 08:07:57.290769', 11]\n",
"['2018-11-26 08:08:07.170315', 12]\n",
"['2018-11-26 08:08:31.196752', 11]\n",
"['2018-11-26 08:08:38.850439', 12]\n",
"['2018-11-26 08:08:43.082559', 13]\n",
"['2018-11-26 08:08:44.457609', 14]\n",
"['2018-11-26 08:09:13.872307', 15]\n",
"['2018-11-26 08:09:28.880132', 14]\n",
"['2018-11-26 08:09:38.901747', 13]\n",
"['2018-11-26 08:09:43.486682', 14]\n",
"['2018-11-26 08:09:56.734564', 15]\n",
"['2018-11-26 08:09:58.001035', 16]\n",
"['2018-11-26 08:10:11.604286', 17]\n",
"['2018-11-26 08:10:13.582102', 18]\n",
"['2018-11-26 08:10:19.766882', 17]\n",
"['2018-11-26 08:10:28.927074', 16]\n",
"['2018-11-26 08:10:54.249316', 17]\n",
"['2018-11-26 08:10:56.450886', 16]\n",
"['2018-11-26 08:10:57.380920', 17]\n",
"['2018-11-26 08:11:05.241480', 16]\n",
"['2018-11-26 08:11:29.945580', 17]\n",
"['2018-11-26 08:11:37.209514', 18]\n",
"['2018-11-26 08:12:20.229515', 19]\n",
"['2018-11-26 08:13:09.167485', 20]\n",
"['2018-11-26 08:13:21.176046', 19]\n",
"['2018-11-26 08:13:24.940785', 20]\n",
"['2018-11-26 08:13:28.585635', 21]\n",
"['2018-11-26 08:13:41.601194', 20]\n",
"['2018-11-26 08:13:57.861714', 19]\n",
"['2018-11-26 08:14:04.009664', 18]\n",
"['2018-11-26 08:14:09.285027', 19]\n",
"['2018-11-26 08:14:15.340654', 20]\n",
"['2018-11-26 08:14:30.487110', 19]\n",
"['2018-11-26 08:14:31.657982', 18]\n",
"['2018-11-26 08:14:38.469941', 19]\n",
"['2018-11-26 08:14:57.999796', 18]\n",
"['2018-11-26 08:15:03.102301', 17]\n",
"['2018-11-26 08:16:44.134977', 18]\n",
"['2018-11-26 08:16:47.641373', 17]\n",
"['2018-11-26 08:17:57.598378', 16]\n",
"['2018-11-26 08:18:15.605427', 15]\n",
"['2018-11-26 08:18:27.620939', 14]\n",
"['2018-11-26 08:18:39.657212', 13]\n",
"['2018-11-26 08:18:52.094898', 12]\n",
"['2018-11-26 08:19:10.451123', 13]\n",
"['2018-11-26 08:19:21.591617', 12]\n",
"['2018-11-26 08:19:51.765614', 13]\n",
"['2018-11-26 08:19:59.137548', 12]\n",
"['2018-11-26 08:20:12.483701', 11]\n",
"['2018-11-26 08:20:36.676120', 9]\n",
"['2018-11-26 08:22:09.001136', 10]\n",
"['2018-11-26 08:24:42.300182', 5]\n",
"['2018-11-26 08:26:42.377582', 2]\n",
"['2018-11-26 08:30:26.056521', 3]\n",
"['2018-11-26 08:33:06.283615', 4]\n",
"['2018-11-26 08:37:01.733436', 3]\n",
"['2018-11-26 08:37:46.750411', 2]\n",
"['2018-11-26 08:42:42.015757', 3]\n",
"['2018-11-26 08:42:43.366542', 4]\n",
"['2018-11-26 08:46:06.344004', 5]\n",
"['2018-11-26 08:47:06.349536', 3]\n",
"['2018-11-26 08:50:26.413510', 4]\n",
"['2018-11-26 08:51:08.218095', 5]\n",
"['2018-11-26 08:52:55.454808', 6]\n",
"['2018-11-26 08:53:10.222728', 7]\n",
"['2018-11-26 08:54:52.117500', 8]\n",
"['2018-11-26 08:55:07.422288', 7]\n",
"['2018-11-26 08:57:00.885998', 8]\n",
"['2018-11-26 08:57:37.481288', 7]\n",
"['2018-11-26 08:58:29.567248', 8]\n",
"['2018-11-26 08:58:52.791745', 9]\n",
"['2018-11-26 08:59:01.286668', 10]\n",
"['2018-11-26 08:59:09.255803', 11]\n",
"['2018-11-26 08:59:10.019036', 12]\n",
"['2018-11-26 08:59:28.756402', 13]\n",
"['2018-11-26 09:01:07.051643', 12]\n",
"['2018-11-26 09:01:17.668440', 13]\n",
"['2018-11-26 09:02:05.583763', 14]\n",
"['2018-11-26 09:03:17.877198', 13]\n",
"['2018-11-26 09:03:18.021878', 14]\n",
"['2018-11-26 09:03:58.200229', 13]\n",
"['2018-11-26 09:04:23.637475', 11]\n",
"['2018-11-26 09:04:56.576327', 12]\n",
"['2018-11-26 09:05:06.973928', 13]\n",
"['2018-11-26 09:05:50.854752', 14]\n",
"['2018-11-26 09:05:52.490034', 13]\n",
"['2018-11-26 09:06:41.269209', 14]\n",
"['2018-11-26 09:07:01.269221', 13]\n",
"['2018-11-26 09:07:15.461546', 12]\n",
"['2018-11-26 09:07:19.093497', 10]\n",
"['2018-11-26 09:07:44.305563', 11]\n",
"['2018-11-26 09:07:57.232923', 12]\n",
"['2018-11-26 09:09:02.796754', 13]\n",
"['2018-11-26 09:09:12.803902', 12]\n",
"['2018-11-26 09:09:24.749717', 13]\n",
"['2018-11-26 09:09:34.485683', 14]\n",
"['2018-11-26 09:09:52.422404', 15]\n",
"['2018-11-26 09:09:56.524790', 14]\n",
"['2018-11-26 09:09:56.760920', 15]\n",
"['2018-11-26 09:10:04.427208', 16]\n",
"['2018-11-26 09:10:07.123024', 17]\n",
"['2018-11-26 09:10:46.630083', 18]\n",
"['2018-11-26 09:11:01.013069', 19]\n",
"['2018-11-26 09:11:34.983987', 18]\n",
"['2018-11-26 09:11:56.758787', 17]\n",
"['2018-11-26 09:12:23.888909', 15]\n",
"['2018-11-26 09:12:25.694755', 16]\n",
"['2018-11-26 09:12:38.984294', 17]\n",
"['2018-11-26 09:12:39.828352', 18]\n",
"['2018-11-26 09:12:51.585213', 19]\n",
"['2018-11-26 09:12:53.901361', 20]\n",
"['2018-11-26 09:13:23.704021', 21]\n",
"['2018-11-26 09:13:25.944652', 22]\n",
"['2018-11-26 09:13:34.346759', 23]\n",
"['2018-11-26 09:13:52.942891', 22]\n",
"['2018-11-26 09:13:57.650310', 23]\n",
"['2018-11-26 09:14:09.091508', 22]\n",
"['2018-11-26 09:14:16.957519', 21]\n",
"['2018-11-26 09:14:23.177658', 22]\n",
"['2018-11-26 09:14:25.363135', 23]\n",
"['2018-11-26 09:14:34.405815', 24]\n",
"['2018-11-26 09:15:02.827374', 25]\n",
"['2018-11-26 09:15:07.075916', 24]\n",
"['2018-11-26 09:15:32.894915', 25]\n",
"['2018-11-26 09:16:36.270796', 26]\n",
"['2018-11-26 09:16:41.270761', 24]\n",
"['2018-11-26 09:16:55.911738', 23]\n",
"['2018-11-26 09:16:57.239258', 22]\n",
"['2018-11-26 09:17:21.619257', 23]\n",
"['2018-11-26 09:17:38.527136', 24]\n",
"['2018-11-26 09:17:39.951506', 25]\n",
"['2018-11-26 09:17:54.971123', 24]\n",
"['2018-11-26 09:18:25.330263', 23]\n",
"['2018-11-26 09:18:36.756762', 22]\n",
"['2018-11-26 09:18:43.452455', 23]\n",
"['2018-11-26 09:18:50.756029', 22]\n",
"['2018-11-26 09:18:52.613147', 23]\n",
"['2018-11-26 09:18:58.478704', 22]\n",
"['2018-11-26 09:19:04.889452', 20]\n",
"['2018-11-26 09:19:06.245340', 21]\n",
"['2018-11-26 09:19:10.650333', 20]\n",
"['2018-11-26 09:19:11.099577', 21]\n",
"['2018-11-26 09:19:35.753707', 19]\n",
"['2018-11-26 09:19:40.169801', 18]\n",
"['2018-11-26 09:20:28.540980', 17]\n",
"['2018-11-26 09:20:53.629212', 18]\n",
"['2018-11-26 09:21:12.420025', 17]\n",
"['2018-11-26 09:21:24.888893', 16]\n",
"['2018-11-26 09:21:31.025202', 17]\n",
"['2018-11-26 09:21:52.482003', 16]\n",
"['2018-11-26 09:21:56.284024', 17]\n",
"['2018-11-26 09:22:11.312650', 16]\n",
"['2018-11-26 09:22:59.535604', 14]\n",
"['2018-11-26 09:23:11.611520', 15]\n",
"['2018-11-26 09:23:51.191674', 14]\n",
"['2018-11-26 09:24:37.653814', 13]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-26 09:24:56.017597', 12]\n",
"['2018-11-26 09:25:55.854763', 10]\n",
"['2018-11-26 09:26:03.746484', 11]\n",
"['2018-11-26 09:26:18.030994', 10]\n",
"['2018-11-26 09:27:11.195634', 9]\n",
"['2018-11-26 09:27:26.140121', 7]\n",
"['2018-11-26 09:27:56.255568', 8]\n",
"['2018-11-26 09:28:11.179828', 7]\n",
"['2018-11-26 09:34:13.043992', 2]\n",
"['2018-11-26 09:36:27.515461', 3]\n",
"['2018-11-26 09:41:03.175602', 4]\n",
"['2018-11-26 09:41:07.593039', 3]\n",
"['2018-11-26 09:43:35.479960', 4]\n",
"['2018-11-26 09:45:49.952341', 5]\n",
"['2018-11-26 09:49:08.845046', 4]\n",
"['2018-11-26 09:49:53.167036', 3]\n",
"['2018-11-26 09:52:46.584337', 4]\n",
"['2018-11-26 09:56:34.744860', 5]\n",
"['2018-11-26 09:56:56.179781', 4]\n",
"['2018-11-26 09:56:57.964284', 5]\n",
"['2018-11-26 09:57:11.601980', 6]\n",
"['2018-11-26 09:57:35.252003', 5]\n",
"['2018-11-26 09:57:41.110206', 6]\n",
"['2018-11-26 09:57:45.931118', 7]\n",
"['2018-11-26 09:57:57.060627', 8]\n",
"['2018-11-26 09:58:01.337671', 9]\n",
"['2018-11-26 09:58:23.748114', 10]\n",
"['2018-11-26 09:59:10.214585', 11]\n",
"['2018-11-26 09:59:25.782318', 12]\n",
"['2018-11-26 10:00:52.567499', 13]\n",
"['2018-11-26 10:01:39.429098', 14]\n",
"['2018-11-26 10:01:41.900181', 13]\n",
"['2018-11-26 10:01:46.273106', 14]\n",
"['2018-11-26 10:02:02.122913', 12]\n",
"['2018-11-26 10:02:11.280980', 11]\n",
"['2018-11-26 10:02:34.963648', 10]\n",
"['2018-11-26 10:02:43.213468', 11]\n",
"['2018-11-26 10:03:10.268822', 12]\n",
"['2018-11-26 10:03:58.362187', 10]\n",
"['2018-11-26 10:04:11.999392', 11]\n",
"['2018-11-26 10:04:28.470517', 10]\n",
"['2018-11-26 10:04:39.598024', 11]\n",
"['2018-11-26 10:04:54.599703', 10]\n",
"['2018-11-26 10:05:26.134203', 11]\n",
"['2018-11-26 10:05:29.616037', 12]\n",
"['2018-11-26 10:05:29.990785', 13]\n",
"['2018-11-26 10:05:32.208917', 14]\n",
"['2018-11-26 10:05:37.811330', 15]\n",
"['2018-11-26 10:05:38.525458', 16]\n",
"['2018-11-26 10:05:46.196237', 14]\n",
"['2018-11-26 10:05:46.874278', 15]\n",
"['2018-11-26 10:05:56.225114', 16]\n",
"['2018-11-26 10:05:56.764080', 17]\n",
"['2018-11-26 10:06:04.434264', 18]\n",
"['2018-11-26 10:06:10.461457', 19]\n",
"['2018-11-26 10:06:25.211599', 20]\n",
"['2018-11-26 10:06:33.618855', 21]\n",
"['2018-11-26 10:06:47.605174', 19]\n",
"['2018-11-26 10:07:10.468462', 18]\n",
"['2018-11-26 10:07:10.971579', 19]\n",
"['2018-11-26 10:07:24.841566', 20]\n",
"['2018-11-26 10:08:06.966458', 21]\n",
"['2018-11-26 10:08:38.643320', 20]\n",
"['2018-11-26 10:09:20.760187', 21]\n",
"['2018-11-26 10:09:26.613188', 22]\n",
"['2018-11-26 10:09:30.799976', 21]\n",
"['2018-11-26 10:09:39.870117', 20]\n",
"['2018-11-26 10:10:03.933920', 19]\n",
"['2018-11-26 10:10:14.849284', 20]\n",
"['2018-11-26 10:11:17.653957', 21]\n",
"['2018-11-26 10:11:25.452292', 22]\n",
"['2018-11-26 10:11:47.151263', 23]\n",
"['2018-11-26 10:11:59.447156', 24]\n",
"['2018-11-26 10:12:09.669354', 25]\n",
"['2018-11-26 10:13:04.980667', 24]\n",
"['2018-11-26 10:13:45.766367', 23]\n",
"['2018-11-26 10:14:16.767393', 22]\n",
"['2018-11-26 10:14:46.069696', 23]\n",
"['2018-11-26 10:14:57.525069', 22]\n",
"['2018-11-26 10:15:05.943668', 21]\n",
"['2018-11-26 10:15:31.680343', 22]\n",
"['2018-11-26 10:15:48.125814', 21]\n",
"['2018-11-26 10:15:50.528874', 20]\n",
"['2018-11-26 10:15:52.269754', 19]\n",
"['2018-11-26 10:16:07.782626', 18]\n",
"['2018-11-26 10:16:18.633868', 16]\n",
"['2018-11-26 10:16:20.715676', 15]\n",
"['2018-11-26 10:16:28.870890', 14]\n",
"['2018-11-26 10:16:41.103711', 13]\n",
"['2018-11-26 10:16:47.292183', 12]\n",
"['2018-11-26 10:16:48.862422', 13]\n",
"['2018-11-26 10:17:04.816915', 14]\n",
"['2018-11-26 10:17:30.923207', 15]\n",
"['2018-11-26 10:17:32.882017', 16]\n",
"['2018-11-26 10:17:53.789935', 15]\n",
"['2018-11-26 10:18:00.254811', 16]\n",
"['2018-11-26 10:18:06.691409', 17]\n",
"['2018-11-26 10:18:44.519945', 18]\n",
"['2018-11-26 10:18:52.550373', 19]\n",
"['2018-11-26 10:19:41.461026', 20]\n",
"['2018-11-26 10:19:45.107583', 21]\n",
"['2018-11-26 10:20:10.304369', 22]\n",
"['2018-11-26 10:20:56.696360', 21]\n",
"['2018-11-26 10:21:30.176043', 22]\n",
"['2018-11-26 10:21:45.370731', 21]\n",
"['2018-11-26 10:21:55.565415', 20]\n",
"['2018-11-26 10:22:30.210637', 19]\n",
"['2018-11-26 10:22:37.720481', 20]\n",
"['2018-11-26 10:23:15.692926', 21]\n",
"['2018-11-26 10:23:16.816652', 22]\n",
"['2018-11-26 10:23:43.699532', 21]\n",
"['2018-11-26 10:24:00.331184', 20]\n",
"['2018-11-26 10:24:09.857789', 19]\n",
"['2018-11-26 10:24:10.327761', 18]\n",
"['2018-11-26 13:59:42.927132', 2]\n",
"['2018-11-26 13:59:44.663165', 3]\n",
"['2018-11-26 13:59:46.407447', 4]\n",
"['2018-11-26 13:59:47.309516', 5]\n",
"['2018-11-26 13:59:47.801068', 6]\n",
"['2018-11-26 13:59:54.876579', 7]\n",
"['2018-11-26 13:59:58.584335', 8]\n",
"['2018-11-26 14:00:04.248054', 9]\n",
"['2018-11-26 14:00:05.945847', 10]\n",
"['2018-11-26 14:00:06.584415', 11]\n",
"['2018-11-26 14:00:13.885002', 12]\n",
"['2018-11-26 14:00:21.266902', 13]\n",
"['2018-11-26 14:00:24.125573', 14]\n",
"['2018-11-26 14:00:35.075912', 15]\n",
"['2018-11-26 14:00:38.060425', 16]\n",
"['2018-11-26 14:00:41.994123', 17]\n",
"['2018-11-26 14:00:44.071474', 18]\n",
"['2018-11-26 14:00:54.335067', 19]\n",
"['2018-11-26 14:00:58.891057', 20]\n",
"['2018-11-26 14:01:01.922021', 21]\n",
"['2018-11-26 14:01:03.318096', 22]\n",
"['2018-11-26 14:01:04.353068', 23]\n",
"['2018-11-26 14:01:10.509776', 24]\n",
"['2018-11-26 14:01:19.344628', 25]\n",
"['2018-11-26 14:01:30.227866', 26]\n",
"['2018-11-26 14:01:36.338108', 27]\n",
"['2018-11-26 14:01:45.814211', 28]\n",
"['2018-11-26 14:01:47.925093', 29]\n",
"['2018-11-26 14:01:57.551248', 30]\n",
"['2018-11-26 14:02:04.325489', 31]\n",
"['2018-11-26 14:02:23.023428', 32]\n",
"['2018-11-26 14:02:37.749091', 33]\n",
"['2018-11-26 14:02:50.744633', 34]\n",
"['2018-11-26 14:03:01.188825', 35]\n",
"['2018-11-26 14:03:04.888274', 36]\n",
"['2018-11-26 14:03:47.823634', 35]\n",
"['2018-11-26 14:04:00.581639', 36]\n",
"['2018-11-26 14:04:14.223496', 37]\n",
"['2018-11-26 14:04:23.833665', 38]\n",
"['2018-11-26 14:04:24.711456', 39]\n",
"['2018-11-26 14:04:26.285695', 40]\n",
"['2018-11-26 14:04:36.993577', 39]\n",
"['2018-11-26 14:05:07.277752', 38]\n",
"['2018-11-26 14:05:11.188464', 36]\n",
"['2018-11-26 14:05:17.445211', 35]\n",
"['2018-11-26 14:05:39.065402', 36]\n",
"['2018-11-26 14:06:34.315872', 37]\n",
"['2018-11-26 14:06:36.026326', 38]\n",
"['2018-11-26 14:06:37.954806', 37]\n",
"['2018-11-26 14:06:47.808983', 36]\n",
"['2018-11-26 14:07:01.710962', 33]\n",
"['2018-11-26 14:07:09.565836', 34]\n",
"['2018-11-26 14:07:24.350944', 33]\n",
"['2018-11-26 14:07:38.821492', 34]\n",
"['2018-11-26 14:08:01.272657', 35]\n",
"['2018-11-26 14:08:06.256425', 34]\n",
"['2018-11-26 14:08:06.866555', 35]\n",
"['2018-11-26 14:08:09.029710', 34]\n",
"['2018-11-26 14:08:17.375831', 33]\n",
"['2018-11-26 14:08:25.016233', 32]\n",
"['2018-11-26 14:08:50.383309', 33]\n",
"['2018-11-26 14:09:00.548176', 34]\n",
"['2018-11-26 14:09:24.807739', 33]\n",
"['2018-11-26 14:09:39.172457', 32]\n",
"['2018-11-26 14:09:42.056626', 31]\n",
"['2018-11-26 14:09:50.429913', 32]\n",
"['2018-11-26 14:09:51.324450', 33]\n",
"['2018-11-26 14:09:53.636343', 32]\n",
"['2018-11-26 14:10:05.220564', 33]\n",
"['2018-11-26 14:10:08.147960', 34]\n",
"['2018-11-26 14:10:44.019397', 35]\n",
"['2018-11-26 14:11:01.847114', 36]\n",
"['2018-11-26 14:11:05.324657', 35]\n",
"['2018-11-26 14:11:08.496802', 36]\n",
"['2018-11-26 14:11:09.549208', 37]\n",
"['2018-11-26 14:11:25.614801', 36]\n",
"['2018-11-26 14:11:46.797600', 37]\n",
"['2018-11-26 14:11:57.805994', 36]\n",
"['2018-11-26 14:12:03.088626', 37]\n",
"['2018-11-26 14:12:09.374565', 38]\n",
"['2018-11-26 14:12:17.777121', 37]\n",
"['2018-11-26 14:12:36.146617', 38]\n",
"['2018-11-26 14:12:44.674338', 37]\n",
"['2018-11-26 14:13:22.444612', 35]\n",
"['2018-11-26 14:13:22.898986', 36]\n",
"['2018-11-26 14:13:34.373267', 35]\n",
"['2018-11-26 14:13:37.107734', 36]\n",
"['2018-11-26 14:13:50.879929', 35]\n",
"['2018-11-26 14:13:59.604933', 34]\n",
"['2018-11-26 14:14:11.045907', 33]\n",
"['2018-11-26 14:14:14.130538', 32]\n",
"['2018-11-26 14:14:16.278506', 31]\n",
"['2018-11-26 14:14:21.407466', 29]\n",
"['2018-11-26 14:14:45.655572', 28]\n",
"['2018-11-26 14:14:53.223768', 29]\n",
"['2018-11-26 14:15:03.590154', 30]\n",
"['2018-11-26 14:15:35.618445', 29]\n",
"['2018-11-26 14:15:54.953661', 28]\n",
"['2018-11-26 14:16:01.288376', 29]\n",
"['2018-11-26 14:16:04.820671', 28]\n",
"['2018-11-26 14:16:23.949036', 29]\n",
"['2018-11-26 14:16:25.165958', 30]\n",
"['2018-11-26 14:16:54.148095', 29]\n",
"['2018-11-26 14:17:40.182503', 28]\n",
"['2018-11-26 14:18:10.521298', 24]\n",
"['2018-11-26 14:18:19.020137', 23]\n",
"['2018-11-26 14:18:30.979772', 22]\n",
"['2018-11-26 14:18:58.722959', 19]\n",
"['2018-11-26 14:19:02.820831', 18]\n",
"['2018-11-26 14:19:06.735760', 17]\n",
"['2018-11-26 14:19:07.656671', 18]\n",
"['2018-11-26 14:19:28.267040', 17]\n",
"['2018-11-26 14:20:03.901524', 16]\n",
"['2018-11-26 14:20:33.917825', 10]\n",
"['2018-11-26 14:21:56.091777', 11]\n",
"['2018-11-26 14:21:56.286893', 12]\n",
"['2018-11-26 14:22:22.935486', 11]\n",
"['2018-11-26 14:22:35.824589', 12]\n",
"['2018-11-26 14:22:42.705799', 13]\n",
"['2018-11-26 14:22:54.083558', 12]\n",
"['2018-11-26 14:23:21.729154', 13]\n",
"['2018-11-26 14:23:24.586859', 14]\n",
"['2018-11-26 14:23:31.016188', 13]\n",
"['2018-11-26 14:24:01.749977', 11]\n",
"['2018-11-26 14:24:45.185573', 12]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2018-11-26 14:24:45.579645', 13]\n",
"['2018-11-26 14:25:09.847619', 12]\n",
"['2018-11-26 14:25:11.718363', 13]\n",
"['2018-11-26 14:26:11.725751', 12]\n",
"['2018-11-26 14:26:43.212836', 11]\n",
"['2018-11-26 14:27:09.389022', 10]\n",
"['2018-11-26 14:27:44.186779', 8]\n",
"['2018-11-26 14:28:15.552741', 7]\n",
"['2018-11-26 14:28:45.205604', 5]\n",
"['2018-11-26 14:31:16.188229', 3]\n",
"['2018-11-26 14:32:41.217158', 4]\n",
"['2018-11-26 14:37:45.243855', 2]\n",
"['2018-11-26 14:38:37.013760', 3]\n",
"['2018-11-26 14:39:43.991638', 4]\n",
"['2018-11-26 14:43:48.102376', 3]\n",
"['2018-11-26 14:43:48.850570', 4]\n",
"['2018-11-26 14:44:46.496726', 5]\n",
"['2018-11-26 14:46:49.260513', 4]\n",
"['2018-11-26 14:47:50.298603', 3]\n",
"['2018-11-26 14:48:23.598472', 4]\n",
"['2018-11-26 14:48:52.469358', 3]\n",
"['2018-11-26 14:53:53.225228', 4]\n",
"['2018-11-26 14:56:10.348519', 5]\n",
"['2018-11-26 14:56:35.854159', 6]\n",
"['2018-11-26 14:57:11.724950', 7]\n",
"['2018-11-26 14:58:00.610527', 8]\n",
"['2018-11-26 14:58:17.110742', 9]\n",
"['2018-11-26 14:59:01.756826', 10]\n",
"['2018-11-26 14:59:16.796583', 11]\n",
"['2018-11-26 14:59:49.968765', 12]\n",
"['2018-11-26 15:00:24.130448', 13]\n",
"['2018-11-26 15:00:27.099075', 14]\n",
"['2018-11-26 15:00:52.389657', 15]\n",
"['2018-11-26 15:01:12.156750', 14]\n",
"['2018-11-26 15:01:13.329208', 13]\n",
"['2018-11-26 15:01:42.990316', 12]\n",
"['2018-11-26 15:02:14.089088', 11]\n",
"['2018-11-26 15:02:23.653807', 10]\n",
"['2018-11-26 15:02:30.220393', 11]\n",
"['2018-11-26 15:02:51.380454', 12]\n",
"['2018-11-26 15:02:58.863363', 13]\n",
"['2018-11-26 15:03:01.465851', 14]\n",
"['2018-11-26 15:03:07.524119', 12]\n",
"['2018-11-26 15:03:17.696217', 11]\n",
"['2018-11-26 15:04:00.264609', 12]\n",
"['2018-11-26 15:04:22.270772', 11]\n",
"['2018-11-26 15:04:23.659948', 12]\n",
"['2018-11-26 15:05:15.019333', 11]\n",
"['2018-11-26 15:06:37.209571', 10]\n",
"['2018-11-26 15:06:38.431155', 11]\n",
"['2018-11-26 15:06:40.683774', 12]\n",
"['2018-11-26 15:06:51.528774', 11]\n",
"['2018-11-26 15:06:54.777294', 12]\n",
"['2018-11-26 15:07:00.662602', 11]\n",
"['2018-11-26 15:07:04.671993', 12]\n",
"['2018-11-26 15:07:08.894714', 13]\n",
"['2018-11-26 15:07:18.390355', 14]\n",
"['2018-11-26 15:07:33.008187', 15]\n",
"['2018-11-26 15:08:42.508107', 16]\n",
"['2018-11-26 15:10:08.653837', 12]\n",
"['2018-11-26 15:10:38.707226', 11]\n",
"['2018-11-26 15:10:41.411793', 12]\n",
"['2018-11-26 15:10:47.742597', 13]\n",
"['2018-11-26 15:10:52.930362', 14]\n",
"['2018-11-26 15:10:56.139328', 13]\n",
"['2018-11-26 15:11:05.147465', 12]\n",
"['2018-11-26 15:11:09.342958', 10]\n",
"['2018-11-26 15:11:21.946337', 8]\n",
"['2018-11-26 15:11:32.944715', 9]\n",
"['2018-11-26 15:11:38.884565', 8]\n",
"['2018-11-26 15:12:25.022736', 9]\n",
"['2018-11-26 15:12:42.666916', 10]\n",
"['2018-11-26 15:13:35.797170', 11]\n",
"['2018-11-26 15:13:52.372686', 12]\n",
"['2018-11-26 15:14:40.148605', 13]\n",
"['2018-11-26 15:14:42.071151', 12]\n",
"['2018-11-26 15:15:02.802861', 11]\n",
"['2018-11-26 15:15:42.595319', 9]\n",
"['2018-11-26 15:16:44.582390', 8]\n",
"['2018-11-26 15:16:50.738046', 9]\n",
"['2018-11-26 15:17:34.311822', 10]\n",
"['2018-11-26 15:17:35.612886', 11]\n",
"['2018-11-26 15:17:39.358754', 10]\n",
"['2018-11-26 15:18:17.486481', 9]\n",
"['2018-11-26 15:18:48.564616', 8]\n",
"['2018-11-26 15:20:50.084298', 9]\n",
"['2018-11-26 15:20:57.154215', 8]\n",
"['2018-11-26 15:20:58.006530', 9]\n",
"['2018-11-26 15:21:34.814259', 7]\n",
"['2018-11-26 15:22:04.663610', 5]\n",
"['2018-11-26 15:24:11.223928', 6]\n",
"['2018-11-26 15:32:00.268587', 2]\n",
"['2018-11-26 15:34:10.201603', 3]\n",
"['2018-11-26 15:36:11.530052', 2]\n",
"['2018-11-26 15:41:01.536860', 3]\n",
"['2018-11-26 15:41:01.671462', 4]\n",
"['2018-11-26 15:41:11.226868', 5]\n",
"['2018-11-26 15:41:23.305739', 6]\n",
"['2018-11-26 15:45:14.297618', 5]\n",
"['2018-11-26 15:45:40.988894', 6]\n",
"['2018-11-26 15:48:54.068193', 7]\n",
"['2018-11-26 15:48:55.533562', 8]\n",
"['2018-11-26 15:49:21.320957', 7]\n",
"['2018-11-26 15:49:55.549174', 6]\n",
"['2018-11-26 15:50:11.699498', 7]\n",
"['2018-11-26 15:50:36.343864', 8]\n",
"['2018-11-26 15:51:31.315547', 9]\n",
"['2018-11-26 15:51:31.375173', 10]\n",
"['2018-11-26 15:51:33.912755', 11]\n",
"['2018-11-26 15:51:35.489802', 12]\n",
"['2018-11-26 15:52:01.802875', 13]\n",
"['2018-11-26 15:52:16.676826', 14]\n",
"['2018-11-26 15:52:30.417634', 15]\n",
"['2018-11-26 15:52:31.537226', 16]\n",
"['2018-11-26 15:52:33.628487', 17]\n",
"['2018-11-26 15:52:37.224490', 18]\n",
"['2018-11-26 15:52:37.274189', 19]\n",
"['2018-11-26 15:52:37.626899', 20]\n",
"['2018-11-26 15:53:09.903242', 21]\n",
"['2018-11-26 15:53:22.962972', 22]\n",
"['2018-11-26 15:53:34.452239', 23]\n",
"['2018-11-26 15:53:43.110138', 24]\n",
"['2018-11-26 15:53:55.658321', 25]\n",
"['2018-11-26 15:54:15.829249', 24]\n",
"['2018-11-26 15:54:32.213474', 25]\n",
"['2018-11-26 15:55:04.477067', 26]\n",
"['2018-11-26 15:55:19.538835', 27]\n",
"['2018-11-26 15:55:23.516597', 26]\n",
"['2018-11-26 15:55:41.940590', 24]\n",
"['2018-11-26 15:56:17.726197', 23]\n",
"['2018-11-26 15:56:32.026676', 22]\n",
"['2018-11-26 15:56:37.951301', 20]\n",
"['2018-11-26 15:57:10.086970', 19]\n",
"['2018-11-26 15:57:26.036610', 16]\n",
"['2018-11-26 15:57:28.461900', 17]\n",
"['2018-11-26 15:57:31.870333', 16]\n",
"['2018-11-26 15:57:40.458539', 15]\n",
"['2018-11-26 15:58:27.315384', 16]\n",
"['2018-11-26 15:58:31.514805', 17]\n",
"['2018-11-26 15:58:37.399833', 16]\n",
"['2018-11-26 15:58:52.190750', 17]\n",
"['2018-11-26 15:58:54.525480', 18]\n",
"['2018-11-26 15:58:55.392792', 19]\n",
"['2018-11-26 15:59:06.555820', 20]\n",
"['2018-11-26 15:59:11.099157', 21]\n",
"['2018-11-26 15:59:30.585369', 19]\n",
"['2018-11-26 15:59:44.212436', 18]\n",
"['2018-11-26 15:59:54.743803', 17]\n",
"['2018-11-26 15:59:59.848323', 18]\n",
"['2018-11-26 16:00:00.567511', 19]\n",
"['2018-11-26 16:00:01.332203', 20]\n",
"['2018-11-26 16:00:15.500901', 21]\n",
"['2018-11-26 16:00:48.998547', 20]\n",
"['2018-11-26 16:01:02.566401', 21]\n",
"['2018-11-26 16:01:08.512173', 22]\n",
"['2018-11-26 16:01:13.255837', 23]\n",
"['2018-11-26 16:01:23.650465', 24]\n",
"['2018-11-26 16:01:29.304005', 22]\n",
"['2018-11-26 16:01:31.493402', 23]\n",
"['2018-11-26 16:02:02.160099', 21]\n",
"['2018-11-26 16:02:34.012362', 20]\n",
"['2018-11-26 16:02:42.014306', 19]\n",
"['2018-11-26 16:02:50.041299', 20]\n",
"['2018-11-26 16:03:19.964970', 19]\n",
"['2018-11-26 16:03:54.769567', 17]\n",
"['2018-11-26 16:04:14.118641', 15]\n",
"['2018-11-26 16:04:21.497667', 16]\n",
"['2018-11-26 16:04:49.679590', 17]\n",
"['2018-11-26 16:04:55.913759', 16]\n",
"['2018-11-26 16:05:08.519740', 13]\n",
"['2018-11-26 16:05:29.913280', 11]\n",
"['2018-11-26 16:05:32.540289', 10]\n",
"['2018-11-26 16:05:49.845040', 11]\n",
"['2018-11-26 16:06:25.114344', 12]\n",
"['2018-11-26 16:06:30.090463', 13]\n",
"['2018-11-26 16:06:54.806214', 12]\n",
"['2018-11-26 16:07:10.448897', 11]\n",
"['2018-11-26 16:08:02.598669', 12]\n",
"['2018-11-26 16:08:35.643451', 11]\n",
"['2018-11-26 16:09:02.753204', 10]\n",
"['2018-11-26 16:09:55.807329', 9]\n",
"['2018-11-26 16:10:11.695953', 10]\n",
"['2018-11-26 16:11:03.510206', 9]\n",
"['2018-11-26 16:11:08.412861', 10]\n",
"['2018-11-26 16:11:45.201190', 9]\n"
]
}
],
"source": [
"import csv\n",
"import datetime\n",
"\n",
"with open ('Rilevazioni_sensori.csv', encoding = 'utf-8', newline = '') as f:\n",
" lettore = csv.reader (f, delimiter = ',')\n",
" passeggeri = {}\n",
" n_passeggeri = 0\n",
" next(lettore)\n",
" \n",
" old_n_passeggeri = -1\n",
" for riga in lettore:\n",
" Linea = int(riga[0])\n",
" DaTi = float(riga [1])\n",
" if DaTi>1542848400 and DaTi<1542934800 :\n",
" Data = 22_11_2018\n",
" if DaTi>1542934800 and DaTi<1543021200 :\n",
" Data = 23_11_2018\n",
" if DaTi>1543021200 and DaTi<1543107600 :\n",
" Data = 24_11_2018\n",
" if DaTi>1543107600 and DaTi<1543194000 :\n",
" Data = 25_11_2018\n",
" if DaTi>1543194000 and DaTi<1543280400 :\n",
" Data = 26_11_2018\n",
" else:\n",
" data = 'boh'\n",
" \n",
" t2 = datetime.datetime.fromtimestamp(DaTi)\n",
" \n",
" IDd = str(riga[2])\n",
" passeggeri[IDd] = riga[1]\n",
" chiavi_pass = passeggeri.keys()\n",
" for chiave in list(chiavi_pass):\n",
" if float(passeggeri[chiave]) < (DaTi-240):\n",
" del passeggeri [chiave]\n",
" n_passeggeri = len(passeggeri)\n",
" with open ('Sen_linea_'+str(Linea)+str(Data)+'.csv', 'a') as nuovo:\n",
" dato = []\n",
" writer = csv.writer(nuovo, delimiter = ',')\n",
" if n_passeggeri != old_n_passeggeri:\n",
" dato.append(str(t2))\n",
" dato.append(n_passeggeri)\n",
" old_n_passeggeri = n_passeggeri\n",
" print (dato)\n",
" writer.writerow(dato)\n",
" \n",
" \n",
" "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
|
__title__ = 'cihai'
__package_name__ = 'cihai'
__version__ = '0.12.0'
__description__ = 'Library for CJK (chinese, japanese, korean) language data.'
__author__ = 'Tony Narlock'
__email__ = 'tony@git-pull.com'
__github__ = 'https://github.com/cihai/cihai'
__docs__ = 'https://cihai.git-pull.com'
__tracker__ = 'https://github.com/cihai/cihai/issues'
__pypi__ = 'https://pypi.org/project/cihai/'
__license__ = 'MIT'
__copyright__ = 'Copyright 2013- cihai software foundation (Tony Narlock)'
|
class Solution:
def detectCapitalUse(self, word: str) -> bool:
caps = False
low = False
first = False
for i, c in enumerate(word):
if i == 0:
if c.isupper():
first = True
else:
if c.isupper():
caps = True
else:
low = True
if (low is True and caps is False and first is True) or (first is False and low is True and caps is False) or (first is True and low is False and caps is True) or len(word) == 1:
return True
return False
|
#
# PySNMP MIB module HM2-NETOBJ-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/HM2-NETOBJ-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 19:19:03 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
OctetString, Integer, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "OctetString", "Integer", "ObjectIdentifier")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsIntersection, SingleValueConstraint, ConstraintsUnion, ValueSizeConstraint, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsIntersection", "SingleValueConstraint", "ConstraintsUnion", "ValueSizeConstraint", "ValueRangeConstraint")
hm2ConfigurationMibs, = mibBuilder.importSymbols("HM2-TC-MIB", "hm2ConfigurationMibs")
ObjectGroup, NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "ObjectGroup", "NotificationGroup", "ModuleCompliance")
ObjectIdentity, Counter32, TimeTicks, NotificationType, Unsigned32, iso, IpAddress, Gauge32, Bits, Integer32, MibScalar, MibTable, MibTableRow, MibTableColumn, Counter64, ModuleIdentity, MibIdentifier = mibBuilder.importSymbols("SNMPv2-SMI", "ObjectIdentity", "Counter32", "TimeTicks", "NotificationType", "Unsigned32", "iso", "IpAddress", "Gauge32", "Bits", "Integer32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Counter64", "ModuleIdentity", "MibIdentifier")
DisplayString, TextualConvention, RowStatus = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention", "RowStatus")
hm2NetobjMib = ModuleIdentity((1, 3, 6, 1, 4, 1, 248, 11, 60))
hm2NetobjMib.setRevisions(('2011-10-20 00:00', '2011-07-01 00:00', '2011-05-31 00:00',))
if mibBuilder.loadTexts: hm2NetobjMib.setLastUpdated('201110200000Z')
if mibBuilder.loadTexts: hm2NetobjMib.setOrganization('Hirschmann Automation and Control GmbH')
hm2NetobjNotifications = MibIdentifier((1, 3, 6, 1, 4, 1, 248, 11, 60, 0))
hm2NetobjObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 248, 11, 60, 1))
hm2NetobjConformance = MibIdentifier((1, 3, 6, 1, 4, 1, 248, 11, 60, 2))
hm2NetobjectsObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 248, 11, 60, 1, 1))
hm2NetobjectsCount = MibScalar((1, 3, 6, 1, 4, 1, 248, 11, 60, 1, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readonly")
if mibBuilder.loadTexts: hm2NetobjectsCount.setStatus('current')
hm2NetobjectsTables = MibIdentifier((1, 3, 6, 1, 4, 1, 248, 11, 60, 1, 2))
hm2NetobjectsTable = MibTable((1, 3, 6, 1, 4, 1, 248, 11, 60, 1, 2, 1), )
if mibBuilder.loadTexts: hm2NetobjectsTable.setStatus('current')
hm2NetobjectsTableEntry = MibTableRow((1, 3, 6, 1, 4, 1, 248, 11, 60, 1, 2, 1, 1), ).setIndexNames((0, "HM2-NETOBJ-MIB", "hm2NetobjectsIndex"))
if mibBuilder.loadTexts: hm2NetobjectsTableEntry.setStatus('current')
hm2NetobjectsIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 11, 60, 1, 2, 1, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 1024)))
if mibBuilder.loadTexts: hm2NetobjectsIndex.setStatus('current')
hm2NetobjectsName = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 11, 60, 1, 2, 1, 1, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(1, 50))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: hm2NetobjectsName.setStatus('current')
hm2NetobjectsDataEntriesCount = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 11, 60, 1, 2, 1, 1, 3), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hm2NetobjectsDataEntriesCount.setStatus('current')
hm2NetobjectsRowStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 11, 60, 1, 2, 1, 1, 4), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: hm2NetobjectsRowStatus.setStatus('current')
hm2NetobjectsDataTableEntriesCount = MibScalar((1, 3, 6, 1, 4, 1, 248, 11, 60, 1, 1, 2), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hm2NetobjectsDataTableEntriesCount.setStatus('current')
hm2NetobjectsDataTable = MibTable((1, 3, 6, 1, 4, 1, 248, 11, 60, 1, 2, 2), )
if mibBuilder.loadTexts: hm2NetobjectsDataTable.setStatus('current')
hm2NetobjectsDataTableEntry = MibTableRow((1, 3, 6, 1, 4, 1, 248, 11, 60, 1, 2, 2, 1), ).setIndexNames((0, "HM2-NETOBJ-MIB", "hm2NetobjectsDataTableIndex"))
if mibBuilder.loadTexts: hm2NetobjectsDataTableEntry.setStatus('current')
hm2NetobjectsDataTableIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 11, 60, 1, 2, 2, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 1024)))
if mibBuilder.loadTexts: hm2NetobjectsDataTableIndex.setStatus('current')
hm2NetobjectsDataTableObjIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 11, 60, 1, 2, 2, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 1024))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: hm2NetobjectsDataTableObjIndex.setStatus('current')
hm2NetobjectsDataTableData = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 11, 60, 1, 2, 2, 1, 3), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(1, 100))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: hm2NetobjectsDataTableData.setStatus('current')
hm2NetobjectsDataTableRowStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 248, 11, 60, 1, 2, 2, 1, 4), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: hm2NetobjectsDataTableRowStatus.setStatus('current')
hm2NetobjCompliances = MibIdentifier((1, 3, 6, 1, 4, 1, 248, 11, 60, 2, 1))
hm2NetobjGroups = MibIdentifier((1, 3, 6, 1, 4, 1, 248, 11, 60, 2, 2))
hm2NetobjCompliance = ModuleCompliance((1, 3, 6, 1, 4, 1, 248, 11, 60, 2, 1, 1)).setObjects(("HM2-NETOBJ-MIB", "hm2NetobjGeneralGroup"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hm2NetobjCompliance = hm2NetobjCompliance.setStatus('current')
hm2NetobjGeneralGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 248, 11, 60, 2, 2, 1)).setObjects(("HM2-NETOBJ-MIB", "hm2NetobjectsName"), ("HM2-NETOBJ-MIB", "hm2NetobjectsCount"), ("HM2-NETOBJ-MIB", "hm2NetobjectsDataEntriesCount"), ("HM2-NETOBJ-MIB", "hm2NetobjectsRowStatus"), ("HM2-NETOBJ-MIB", "hm2NetobjectsDataTableEntriesCount"), ("HM2-NETOBJ-MIB", "hm2NetobjectsDataTableObjIndex"), ("HM2-NETOBJ-MIB", "hm2NetobjectsDataTableData"), ("HM2-NETOBJ-MIB", "hm2NetobjectsDataTableRowStatus"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hm2NetobjGeneralGroup = hm2NetobjGeneralGroup.setStatus('current')
mibBuilder.exportSymbols("HM2-NETOBJ-MIB", hm2NetobjGroups=hm2NetobjGroups, hm2NetobjNotifications=hm2NetobjNotifications, hm2NetobjectsTables=hm2NetobjectsTables, hm2NetobjCompliances=hm2NetobjCompliances, hm2NetobjectsDataTableObjIndex=hm2NetobjectsDataTableObjIndex, hm2NetobjMib=hm2NetobjMib, hm2NetobjectsName=hm2NetobjectsName, hm2NetobjectsDataTableRowStatus=hm2NetobjectsDataTableRowStatus, hm2NetobjObjects=hm2NetobjObjects, hm2NetobjectsDataTableData=hm2NetobjectsDataTableData, PYSNMP_MODULE_ID=hm2NetobjMib, hm2NetobjConformance=hm2NetobjConformance, hm2NetobjectsObjects=hm2NetobjectsObjects, hm2NetobjCompliance=hm2NetobjCompliance, hm2NetobjectsTable=hm2NetobjectsTable, hm2NetobjectsTableEntry=hm2NetobjectsTableEntry, hm2NetobjectsDataTable=hm2NetobjectsDataTable, hm2NetobjectsIndex=hm2NetobjectsIndex, hm2NetobjectsDataTableEntry=hm2NetobjectsDataTableEntry, hm2NetobjectsDataTableIndex=hm2NetobjectsDataTableIndex, hm2NetobjectsRowStatus=hm2NetobjectsRowStatus, hm2NetobjectsCount=hm2NetobjectsCount, hm2NetobjectsDataEntriesCount=hm2NetobjectsDataEntriesCount, hm2NetobjectsDataTableEntriesCount=hm2NetobjectsDataTableEntriesCount, hm2NetobjGeneralGroup=hm2NetobjGeneralGroup)
|
# The MIT License (MIT)
#
# Copyright (c) 2020-2022 Yury Gribov
#
# Use of this source code is governed by The MIT License (MIT)
# that can be found in the LICENSE.txt file.
"""Source file locations."""
class Location:
"""Location in file."""
def __init__(self, filename=None, lineno=None):
self.filename = filename
self.lineno = lineno
def prior(self):
"""Location of preceeding line."""
return Location(self.filename, self.lineno - 1) if self else self
def __str__(self):
if not self:
return '?:?'
return f'{self.filename}:{self.lineno}'
def __bool__(self):
return self.filename is not None
|
# -*- coding: utf-8 -*-
"""
Created on Tue Dec 26 18:29:24 2017
@author: User
"""
def multVals(vals, multiplier):
newVals = []
for elements in vals:
newVals.append(elements*multiplier)
vals[:] = newVals # this is the way to change a global variable vals to the new values. If just vals is used then global is unchanged. so use 'vals[:]'
vals = [1,2,3,4,5,6,7,8,9,11,44,55,222]
print(multVals(vals, 10))
print(vals)
|
# -*- coding: utf-8 -*-
"""
Fallback to given artist name when no title/artist detected
"""
def fallback_artist(artist):
"""
Fallback method
"""
def fallback_a(title):
return [artist, title]
return fallback_a
|
numbers_to_word = {
1: 'one',
2: 'two',
3: 'three',
4: 'four',
5: 'five',
6: 'six',
7: 'seven',
8: 'eight',
9: 'nine',
}
a = int(input('Number: '))
if a in numbers_to_word.keys():
print(numbers_to_word[a])
else:
print('number too big')
|
def repeat_it(string,n):
print( string)
if type(string) == str:
return string * n
print(string*n)
else:
return 'Not a string' |
class Utils:
@staticmethod
def parse_html(text):
tag_dict = {
"<b>": "**",
"</b>": "**",
"<i>": "_",
"</i>": "_"
}
if text[0] == ">":
text = "\\" + text
new_text = text.replace('*', '\*')
for i, j in tag_dict.items():
new_text = new_text.replace(i, j)
return new_text
|
"""
A factory pattern defines a interface for creating an
object, but defer object instantiation to run time.
"""
# abstract class (Interface)
class ShapeInterface:
def draw(self):
raise NotImplementedError()
# concrete classes
class Circle(ShapeInterface):
def draw(self):
print('Circle.draw')
class Square(ShapeInterface):
def draw(self):
print('Square.draw')
# factory
class ShapeFactory:
@staticmethod
def get_shape(shape_type):
if shape_type == 'circle':
return Circle()
elif shape_type == 'square':
return Square()
raise Exception('Could not find shape ' + shape_type)
# run
ShapeFactory.get_shape('circle')
ShapeFactory.get_shape('square')
ShapeFactory.get_shape('triange') |
Filenames = {
'CONF': 'scenario.json',
'SOLU': 'solution.json'
}
Ratings = {
'MIN': 0,
'MAX': 100,
}
|
# Copyright 2014 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""
Exception classes raised by AdbWrapper and DeviceUtils.
"""
class BaseError(Exception):
"""Base exception for all device and command errors."""
pass
class CommandFailedError(BaseError):
"""Exception for command failures."""
def __init__(self, msg, device=None):
super(CommandFailedError, self).__init__(
'%s%s' % ('(device: %s) ' % device if device else '', msg))
class AdbCommandFailedError(CommandFailedError):
"""Exception for adb command failures."""
def __init__(self, cmd, msg, device=None):
super(AdbCommandFailedError, self).__init__(
'adb command %r failed with message: %s' % (' '.join(cmd), msg),
device=device)
class AdbShellCommandFailedError(AdbCommandFailedError):
"""Exception for adb shell command failing with non-zero return code."""
def __init__(self, cmd, return_code, output, device=None):
super(AdbShellCommandFailedError, self).__init__(
['shell'],
'command %r on device failed with return code %d and output %r'
% (cmd, return_code, output),
device=device)
self.return_code = return_code
self.output = output
class CommandTimeoutError(BaseError):
"""Exception for command timeouts."""
pass
class DeviceUnreachableError(BaseError):
"""Exception for device unreachable failures."""
pass
class NoDevicesError(BaseError):
"""Exception for having no devices attached."""
def __init__(self):
super(NoDevicesError, self).__init__('No devices attached.')
|
class SelectionNotContinuousException(Exception):
pass
|
load("//rules:common.bzl", "CljInfo")
def clojure_ns_impl(ctx):
runfiles = ctx.runfiles()
clj_srcs = []
java_deps = []
transitive_aot = list(ctx.attr.aot)
for dep in ctx.attr.srcs.keys() + ctx.attr.deps:
if DefaultInfo in dep:
runfiles = runfiles.merge(dep[DefaultInfo].default_runfiles)
runfiles = runfiles.merge(dep[DefaultInfo].data_runfiles)
if CljInfo in dep:
clj_srcs.append(dep[CljInfo])
if JavaInfo in dep:
java_deps.append(dep[JavaInfo])
transitive_clj_srcs = {}
transitive_clj_srcs.update(ctx.attr.srcs)
transitive_java_deps = java_deps
for d in clj_srcs:
transitive_clj_srcs.update(d.transitive_clj_srcs)
transitive_java_deps.extend(d.transitive_java_deps)
transitive_aot.extend(d.transitive_aot)
src_input_files = []
for label in transitive_clj_srcs.keys():
src_input_files.extend(label.files.to_list())
return [
DefaultInfo(
files = depset(src_input_files),
runfiles = runfiles,
),
CljInfo(srcs = ctx.attr.srcs,
aot = ctx.attr.aot,
transitive_aot = transitive_aot,
transitive_clj_srcs = transitive_clj_srcs,
transitive_java_deps = transitive_java_deps,
deps = ctx.attr.deps)]
|
def bdms(n,k):
if(n==0):
return 0
else:
# n not zero
if(n%2==0):
kick = n//2
n2 = kick
n1 = 0
else:
kick = (n//2) + 1
n2 = kick-1
n1 = 1
if(kick%k==0):
return kick
else:
while(kick%k != 0 and n2>0):
kick+=1
n2-=1
n1+=2
if(n2==0):
return -1
return kick
n,k=[int(x) for x in input().strip().split()]
ans=bdms(n,k)
print(bdms(n,k)) |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.