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#Escreva um programa que calcule o preço a pagar pela energia elétrica.
#Pergunte a quantidadeconsumida em KWH e o tipo de instalação residencial (R) ou (C) para comercial. Calcule preço pela tabela.
#Residencial <=500 KWh R$0,8 >500 R$0,95
#Comercial <=1000 KWh R$1,10 >1000 R$1,30
instalacao=input("Digite o tipo da sua instalação (C) Comercial e (R) Residencial: ")
kwh=int(input("Quantidade de KWH consumida este mês: "))
valor=0
if instalacao =="C" or instalacao=="c":
instalacao="Comercial"
if kwh<=1000:
valor=kwh*1.1
else:
valor=kwh*1.3
elif instalacao=="R" or instalacao=="r":
instalacao="Residencial"
if kwh<=500:
valor=kwh*0.8
else:
valor=kwh*0.95
else:
print("Tipo de instalação inválida ERRO!!!")
exit()
print(f"O valor consumidos em sua instalação {instalacao} foi de R$ {valor:.2f}")
|
N = int(input())
c=1
res=[]
for i in range (1,int((N+2)/2)):
if N%i == 0:
res.append(i)
c+=1
res.append(N)
print(c)
print(*res)
|
# -*- coding: utf-8 -*-
"""
Disease Case Tracking and Contact Tracing
"""
module = request.controller
if not settings.has_module(module):
raise HTTP(404, body="Module disabled: %s" % module)
# -----------------------------------------------------------------------------
def index():
"Module's Home Page"
module_name = settings.modules[module].name_nice
response.title = module_name
return dict(module_name=module_name)
# -----------------------------------------------------------------------------
def disease():
""" Disease Information Controller """
return s3_rest_controller(rheader = s3db.disease_rheader)
# -----------------------------------------------------------------------------
def case():
""" Case Tracking Controller """
def prep(r):
if r.method == "update":
person_id = r.table.person_id
person_id.writable = False
person_id.comment = None
else:
dtable = s3db.disease_disease
diseases = db(dtable.deleted == False).select(dtable.id,
limitby=(0, 2)
)
if len(diseases) == 1:
# Default to only disease
field = r.table.disease_id
field.default = diseases.first().id
field.writable = False
if r.component_name == "contact" or \
r.component_name == "exposure":
field = r.component.table.tracing_id
field.readable = field.writable = False
return True
s3.prep = prep
def postp(r, output):
if isinstance(output, dict) and "buttons" in output:
buttons = output["buttons"]
if "list_btn" in buttons and "summary_btn" in buttons:
buttons["list_btn"] = buttons["summary_btn"]
return output
s3.postp = postp
return s3_rest_controller(rheader = s3db.disease_rheader)
# -----------------------------------------------------------------------------
def tracing():
""" Contact Tracing Controller """
def prep(r):
if r.id and r.component_name == "exposure":
ctable = r.component.table
case_id = ctable.case_id
case_id.default = r.id
case_id.readable = case_id.writable = False
crud_strings = s3.crud_strings[r.component.tablename]
crud_strings["label_create"] = T("Add Contact Person")
crud_strings["label_delete_button"] = T("Delete Contact Person")
return True
s3.prep = prep
return s3_rest_controller(rheader = s3db.disease_rheader)
# -----------------------------------------------------------------------------
def statistic():
""" RESTful CRUD Controller """
return s3_rest_controller()
# -----------------------------------------------------------------------------
def stats_data():
""" RESTful CRUD Controller """
return s3_rest_controller()
# -----------------------------------------------------------------------------
def stats_aggregate():
""" RESTful CRUD Controller """
return s3_rest_controller()
# END =========================================================================
|
#program to get string which is n
word = input('Enter numbers \n')
texts = list(word)
print(f'{texts}')
numbers = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']
integer = ""
for i in texts:
if i in numbers:
integer += i
print(integer)
|
""" Generate the information necessary to product the vrctst input files
"""
# import os
# import autofile
# import automol
# import varecof_io
# from phydat import phycon
# from autorun._run import run_script
# from autorun._run import from_input_string
#
#
# # Default names of input and output files
# INPUT_NAME = 'tst.inp'
# AUX_NAMES = (
# 'structure.inp',
# 'divsur.inp',
# 'lr_divsur.inp',
# 'molpro.inp',
# 'mol.tml',
# 'mc_flux.inp',
# 'convert.inp',
# 'machines',
# 'molpro.sh')
# POT_INPUT_NAMES = (
# '{}_corr.f'
# 'dummy_corr.f',
# 'pot_aux.f',
# 'makefile')
#
# # Names of strings, files that go into the input
# DUMMY_NAME = 'dummy_corr_'
# LIB_NAME = 'libcorrpot.so'
# EXE_NAME = 'molpro.sh'
# SPC_NAME = 'mol'
# GEOM_PTT = 'GEOMETRY_HERE'
# ENE_PTT = 'molpro_energy'
#
# # Default nmaes of output
# POT_OUTPUT_NAMES = (
# 'libcorrpot.so',)
#
# OUTPUT_NAMES = ('flux.out',)
# DIVSUR_OUTPUT_NAMES1 = ('divsur.out',)
#
#
# # Specialized runners
# def flux_file(script_str, run_dir):
# """ Calculate the flux file
# """
# # aux_dct=None,
# # input_name=INPUT_NAME, output_names=OUTPUT_NAMES):
# #
# # # output_strs = direct()
# #
# print(
# 'Generating flux file with TS N(E) from VaReCoF output...')
# run_script(script_str, run_dir)
# #
# # with open():
# # flux_str = fobj.read()
# #
# # return flux_str
#
#
# # General runners
# def direct(script_str, run_dir,
# aux_dct=None,
# input_name=INPUT_NAME, output_names=OUTPUT_NAMES):
# """ Builds all of the VaReCoF input and then returns the output strings
# """
#
# input_str, aux_dcr = _write_varecof_input()
#
# # Run VaReCoF
# output_strs = from_input_string(
# script_str, run_dir, input_str,
# aux_dct=aux_dct,
# input_name=input_name,
# output_names=output_names)
#
# return output_strs
#
#
# # Helpful runners for the more directly called ones
# def compile_potentials(vrc_path, mep_distances, potentials,
# bnd_frm_idxs, fortran_compiler,
# dist_restrict_idxs=(),
# pot_labels=(),
# pot_file_names=(),
# spc_name='mol'):
# """ use the MEP potentials to compile the correction potential .so file
# """
#
# # Change the coordinates of the MEP distances
# # mep_distances = [dist * phycon.BOHR2ANG for dist in mep_distances]
#
# # Build string Fortan src file containing correction potentials
# species_corr_str = varecof_io.writer.corr_potentials.species(
# mep_distances,
# potentials,
# bnd_frm_idxs,
# dist_restrict_idxs=dist_restrict_idxs,
# pot_labels=pot_labels,
# species_name=spc_name)
#
# # Build string dummy corr file where no correction used
# dummy_corr_str = varecof_io.writer.corr_potentials.dummy()
#
# # Build string for auxiliary file needed for spline fitting
# pot_aux_str = varecof_io.writer.corr_potentials.auxiliary()
#
# # Build string for makefile to compile corr pot file into .so file
# makefile_str = varecof_io.writer.corr_potentials.makefile(
# fortran_compiler, pot_file_names=pot_file_names)
#
# # Write all of the files needed to build the correction potential
# with open(os.path.join(vrc_path, spc_name+'_corr.f'), 'w') as corr_file:
# corr_file.write(species_corr_str)
# with open(os.path.join(vrc_path, 'dummy_corr.f'), 'w') as corr_file:
# corr_file.write(dummy_corr_str)
# with open(os.path.join(vrc_path, 'pot_aux.f'), 'w') as corr_file:
# corr_file.write(pot_aux_str)
# with open(os.path.join(vrc_path, 'makefile'), 'w') as corr_file:
# corr_file.write(makefile_str)
#
# # Compile the correction potential
# varecof_io.writer.corr_potentials.compile_corr_pot(vrc_path)
#
# # Maybe read the potential and return it, prob not needed
#
#
# def frame_oriented_structure(vrc_path, script_str, divsur_inp_str):
# """ get the divsur.out string containing divsur-frame geoms
# """
#
# # Have to to path with divsur.inp to run script (maybe can fix)
# os.chdir(vrc_path)
#
# # Run the VaReCoF utility script to get the divsur.out file
# # Contains the fragment geometries in the divsur-defined coord sys
# varecof_io.writer.util.divsur_frame_geom_script()
#
# # Read fragment geoms from divsur.out with coordinates in the divsurframe
# # with open(os.path.join(vrc_path, 'divsur.out'), 'r') as divsur_file:
# # output_string = divsur_file.read()
#
# # geoms = varecof_io.reader.__(output_string)
#
# # return geoms
#
#
# # STUFF FROM MECHDRIVER
# def _write_varecof_input(ref_zma, ts_info, ts_formula, high_mul,
# rct_ichs, rct_info, rct_zmas,
# active_space, mod_var_sp1_thy_info,
# npot, inf_sep_ene,
# min_idx, max_idx,
# vrc_dct, vrc_path, script_str):
# """ prepare all the input files for a vrc-tst calculation
# """
#
# r1dists_lr = vrc_dct['r1dists_lr']
# r1dists_sr = vrc_dct['r1dists_sr']
# r2dists_sr = vrc_dct['r2dists_sr']
# d1dists = vrc_dct['d1dists']
# d2dists = vrc_dct['d2dists']
# conditions = vrc_dct['conditions']
# nsamp_max = vrc_dct['nsamp_max']
# nsamp_min = vrc_dct['nsamp_min']
# flux_err = vrc_dct['flux_err']
# pes_size = vrc_dct['pes_size']
# base_name = vrc_dct['base_name']
# # exe_path = vrc_dct['exe_path']
#
# # Build geometries needed for the varecof run
# total_geom, frag_geoms, frag_geoms_wdummy = fragment_geometries(
# ref_zma, rct_zmas, min_idx, max_idx)
#
# # Set information for the pivot points needed in divsur.inp
# frames, npivots = build_pivot_frames(
# min_idx, max_idx, total_geom, frag_geoms, frag_geoms_wdummy)
# pivot_angles = calc_pivot_angles(frag_geoms, frag_geoms_wdummy, frames)
# pivot_xyzs = calc_pivot_xyzs(min_idx, max_idx, total_geom, frag_geoms)
#
# # Write the long- and short-range divsur input files
# lrdivsur_inp_str = varecof_io.writer.input_file.divsur(
# r1dists_lr, 1, 1, [0.0, 0.0, 0.0], [0.0, 0.0, 0.0])
#
# # Write the short-range divsur files
# t1angs = [pivot_angles[0]] if pivot_angles[0] is not None else []
# t2angs = [pivot_angles[1]] if pivot_angles[1] is not None else []
# if automol.geom.is_atom(frag_geoms[0]):
# d1dists = []
# t1angs = []
# if automol.geom.is_atom(frag_geoms[1]):
# d2dists = []
# t2angs = []
# if automol.geom.is_linear(frag_geoms[0]):
# d1dists = [0.]
# t1angs = []
# if automol.geom.is_linear(frag_geoms[1]):
# d2dists = [0.]
# t2angs = []
# if all(npiv > 1 for npiv in npivots):
# r2dists = r2dists_sr
# else:
# r2dists = []
# ioprinter.warning_message('no r2dist')
#
# srdivsur_inp_str = varecof_io.writer.input_file.divsur(
# r1dists_sr, npivots[0], npivots[1], pivot_xyzs[0], pivot_xyzs[1],
# frame1=frames[0], frame2=frames[1],
# d1dists=d1dists, d2dists=d2dists,
# t1angs=t1angs, t2angs=t2angs,
# r2dists=r2dists,
# **conditions)
#
# # Build the structure input file string
# struct_inp_str = varecof_io.writer.input_file.structure(
# frag_geoms_wdummy[0], frag_geoms_wdummy[1])
#
# # Write the structure and divsur files to get the divsur out file
# inp = ((
# (struct_inp_str, 'structure.inp'), (srdivsur_inp_str, 'divsur.inp')))
# _write_varecof_inp(inp, vrc_path)
#
# # Obtain the divsur.out file with divsur-frame fragment geoms
# divsur_out_str = build_divsur_out_file(vrc_path, os.getcwd())
#
# # Write the tst.inp file
# faces, faces_symm = assess_face_symmetries(divsur_out_str)
# tst_inp_str = varecof_io.writer.input_file.tst(
# nsamp_max, nsamp_min, flux_err, pes_size,
# faces=faces, faces_symm=faces_symm)
#
# # Write the molpro executable and potential energy surface input string
# els_inp_str = varecof_io.writer.input_file.elec_struct(
# vrc_path, base_name, npot,
# dummy_name='dummy_corr_', lib_name='libcorrpot.so',
# exe_name='molpro.sh',
# geom_ptt='GEOMETRY_HERE', ene_ptt='molpro_energy')
#
# # Write the electronic structure template file
# tml_inp_str = _build_molpro_template_str(
# ref_zma, ts_info, ts_formula, high_mul,
# rct_ichs, rct_info,
# active_space, mod_var_sp1_thy_info,
# inf_sep_ene)
#
# # Write the mc_flux.inp input string
# mc_flux_inp_str = varecof_io.writer.input_file.mc_flux()
#
# # Write the convert.inp input string
# conv_inp_str = varecof_io.writer.input_file.convert()
#
# # Write machines file to set compute nodes
# machine_file_str = build_machinefile_str()
#
# # Collate the input strings and write the remaining files
# input_strs = (
# lrdivsur_inp_str, tst_inp_str,
# els_inp_str, tml_inp_str,
# mc_flux_inp_str, conv_inp_str,
# machine_file_str, script_str)
# input_names = (
# 'lr_divsur.inp', 'tst.inp',
# 'molpro.inp', 'mol.tml',
# 'mc_flux.inp', 'convert.inp',
# 'machines', 'molpro.sh')
# inp = tuple(zip(input_strs, input_names))
# _write_varecof_inp(inp, vrc_path)
#
#
# def _build_molpro_template_str(ref_zma, ts_info, ts_formula, high_mul,
# rct_ichs, rct_info,
# active_space, mod_var_sp1_thy_info,
# inf_sep_ene):
# """ Write the electronic structure template file
# """
#
# cas_kwargs = wfn.build_wfn(ref_zma, ts_info, ts_formula, high_mul,
# rct_ichs, rct_info,
# active_space, mod_var_sp1_thy_info)
#
# tml_inp_str = wfn.wfn_string(
# ts_info, mod_var_sp1_thy_info, inf_sep_ene, cas_kwargs)
#
# return tml_inp_str
#
#
# VRC_DCT = {
# 'fortran_compiler': 'gfortran',
# 'base_name': 'mol',
# 'spc_name': 'mol',
# 'memory': 4.0,
# 'r1dists_lr': [8., 6., 5., 4.5, 4.],
# 'r1dists_sr': [4., 3.8, 3.6, 3.4, 3.2, 3., 2.8, 2.6, 2.4, 2.2],
# 'r2dists_sr': [4., 3.8, 3.6, 3.4, 3.2, 3., 2.8, 2.6, 2.4, 2.2],
# 'd1dists': [0.01, 0.5, 1.],
# 'd2dists': [0.01, 0.5, 1.],
# 'conditions': {},
# 'nsamp_max': 2000,
# 'nsamp_min': 50,
# 'flux_err': 10,
# 'pes_size': 2,
# }
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#Programming I
#######################
# Mission 6.1 #
# Task List #
#######################
#Background
#==========
#After his success in the driverless vehicle, Tom
#ventures into private investigation services. To keep
#track of his progress on the cases, he like to
#create a task list dynamically according to the
#number of days.
#
#Write a Python program that prompts Tom to enter
#the number of days, and print the day number in
#first column, and spaces for him to fill up his
#task in second column. After every 7 days, there
#should be a heading inserted.
#Important Notes
#===============
#1) Comment out ALL input prompts before submitting.
#2) You MUST use the following variables
# - num
#START CODING FROM HERE
#======================
#Prompt user to enter the number of days
#num = input('Enter number of day: ')
#Generate task list
def generate_tasklist(num):
#Modify to display the task list
for i in range(1, num+1):
if i % 7 == 1:
print("Day | Task(s)")
print(str(i) + ' | ')
else:
print(str(i) + ' | ')
#Do not remove the next line
generate_tasklist(num)
#generate_tasklist(15)
|
pdf_path_month_hour = "C:/Users/Nyrobtseva/Documents/Python_Parser_stravenky/Month hour registration_07_2020_David_Tampier.pdf"
csv_path_month_hour = "month_hours.csv" # should be changed to smth better
pdf_path_travel_costs = "C:/Users/Nyrobtseva/Documents/Python_Parser_stravenky/cz_travelexpenses_DavidTampier_July.pdf"
csv_path_travel_costs = "travel_costs.csv" # should be changed to smth better
"""Dictionaries"""
dictionary_WH = {}
dictionary_TH = {}
"""Constatnts"""
required_WH = 6
|
class Node:
def __init__(self,data):
self.data = data
self.next = None
class LinkedList:
def __init__(self):
self.head=None
def print_llist(self):
temp = self.head
while temp:
print(temp.data)
temp=temp.next
llist = LinkedList()
llist.head = Node(1)
second = Node(2)
third = Node(3)
llist.head.next = second # Link first node with second
second.next = third # Link second node with the third node
llist.print_llist()
|
###########################
# 6.0002 Problem Set 1b: Space Change
# Name: Ethan Fulbright
# Collaborators: Jesi Ross, Yale CS lecture - Computer Science 201a, Prof. Dana Angluin
# Time:
# Author: charz, cdenise
# ================================
# Part B: Golden Eggs
# ================================
# Problem 1
def dp_make_weight(egg_weights, target_weight, memo={}):
"""
Find number of eggs to bring back, using the smallest number of eggs. Assumes there is
an infinite supply of eggs of each weight, and there is always a egg of value 1.
Parameters:
egg_weights - tuple of integers, available egg weights sorted from smallest to largest
value (1 = d1 < d2 < ... < dk)
target_weight - int, amount of weight we want to find eggs to fit
memo - dictionary, OPTIONAL parameter for memoization (you may not need to use this
parameter depending on your implementation)
Returns: int, smallest number of eggs needed to make target weight
"""
# This will be the key used to find answers in the memo
subproblem = (egg_weights, target_weight)
# If we've already stored this answer in the memo, return it
if subproblem in memo:
return memo[subproblem]
# If no eggs are left or no space is left on ship, there's nothing left to do
if egg_weights == () or target_weight == 0:
return 0
# If the next heaviest egg is too heavy to fit, consider subset of lighter eggs
elif egg_weights[-1] > target_weight:
result = dp_make_weight(egg_weights[:-1], target_weight, memo)
else:
# Find the minimum number of eggs by testing both taking heaviest egg and not
# taking heaviest egg.
this_egg = egg_weights[-1]
num_eggs_with_this_egg = 1 + dp_make_weight(
egg_weights,
target_weight - this_egg,
memo)
num_eggs_without_this_egg = dp_make_weight(egg_weights[:-1], target_weight, memo)
if num_eggs_without_this_egg != 0:
result = min(num_eggs_with_this_egg, num_eggs_without_this_egg)
else:
result = num_eggs_with_this_egg
# Store this answer in the memo for future use.
memo[subproblem] = result
return result
# EXAMPLE TESTING CODE, feel free to add more if you'd like
if __name__ == "__main__":
egg_weights = (1, 5, 10, 25)
n = 99
print("Egg weights = (1, 5, 10, 25)")
print("n = 99")
print("Expected ouput: 9 (3 * 25 + 2 * 10 + 4 * 1 = 99)")
print("Actual output:", dp_make_weight(egg_weights, n))
print()
egg_weights = (1, 5, 10, 20)
n = 99
print("Egg weights = (1, 5, 10, 20)")
print("n = 99")
print("Expected ouput: 10 (4 * 20 + 1 * 10 + 1 * 5 + 4 * 1 = 99)")
print("Actual output:", dp_make_weight(egg_weights, n))
print()
egg_weights = (1, 5, 10, 20, 25, 30)
n = 99
print("Egg weights = (1, 5, 10, 20, 25, 30)")
print("n = 99")
print("Expected ouput: 8 (3 * 30 + 0 * 10 + 1 * 5 + 4 * 1 = 99)")
print("Actual output:", dp_make_weight(egg_weights, n))
print()
egg_weights = (1, 2, 6, 12, 20)
n = 37
print("Egg weights = (1, 2, 6, 12, 20)")
print("n = 37")
print("Expected ouput: 4 (0 * 20 + 3 * 12 + 0 * 6 + 0 * 2 + 1 * 1 = 37)")
print("Actual output:", dp_make_weight(egg_weights, n))
print()
egg_weights = (1, 5)
n = 6
print("Egg weights = (1, 5)")
print("n = 6")
print("Expected ouput: 2 (1 * 5 + 1 * 1 = 6)")
print("Actual output:", dp_make_weight(egg_weights, n))
print()
|
input_repository = '/home/alog0/taeha/Spark/Count_caching/input/All_uncache_1'
count = 0
with open(input_repository, 'r', encoding='utf-8-sig') as data_file:
while True:
line = data_file.readline()
if not line:
break
line_split = line.split(':')
path = line_split[0]
num = line_split[1]
count += int(num)
if int(num) != 0:
print(line)
print("\nAll : ",count)
|
# Distribute Candy
# https://www.interviewbit.com/problems/distribute-candy/
#
# There are N children standing in a line. Each child is assigned a rating value.
#
# You are giving candies to these children subjected to the following requirements:
# Each child must have at least one candy.
# Children with a higher rating get more candies than their neighbors.
# What is the minimum candies you must give?
#
# Sample Input :
#
# Ratings : [1 2]
# Sample Output :
#
# 3
# The candidate with 1 rating gets 1 candy and candidate with rating cannot get 1 candy as 1 is
# its neighbor. So rating 2 candidate gets 2 candies. In total, 2+1 = 3 candies need to be given out.
#
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
class Solution:
# @param A : list of integers
# @return an integer
def candy(self, A):
candies = [1]
for i in range(1, len(A)):
candies.append(candies[-1] + 1 if A[i] > A[i - 1] else 1)
result = candies[-1]
for i in range(len(A) - 2, -1, -1):
curr = candies[i + 1] + 1 if A[i] > A[i + 1] else 1
result += max(curr, candies[i])
candies[i] = curr
return result
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
if __name__ == "__main__":
s = Solution()
print(s.candy([1, 2]))
|
# coding: utf-8
##############################################################################
# Copyright (C) 2018 Microchip Technology Inc. and its subsidiaries.
#
# Subject to your compliance with these terms, you may use Microchip software
# and any derivatives exclusively with Microchip products. It is your
# responsibility to comply with third party license terms applicable to your
# use of third party software (including open source software) that may
# accompany Microchip software.
#
# THIS SOFTWARE IS SUPPLIED BY MICROCHIP "AS IS". NO WARRANTIES, WHETHER
# EXPRESS, IMPLIED OR STATUTORY, APPLY TO THIS SOFTWARE, INCLUDING ANY IMPLIED
# WARRANTIES OF NON-INFRINGEMENT, MERCHANTABILITY, AND FITNESS FOR A
# PARTICULAR PURPOSE.
#
# IN NO EVENT WILL MICROCHIP BE LIABLE FOR ANY INDIRECT, SPECIAL, PUNITIVE,
# INCIDENTAL OR CONSEQUENTIAL LOSS, DAMAGE, COST OR EXPENSE OF ANY KIND
# WHATSOEVER RELATED TO THE SOFTWARE, HOWEVER CAUSED, EVEN IF MICROCHIP HAS
# BEEN ADVISED OF THE POSSIBILITY OR THE DAMAGES ARE FORESEEABLE. TO THE
# FULLEST EXTENT ALLOWED BY LAW, MICROCHIP'S TOTAL LIABILITY ON ALL CLAIMS IN
# ANY WAY RELATED TO THIS SOFTWARE WILL NOT EXCEED THE AMOUNT OF FEES, IF ANY,
# THAT YOU HAVE PAID DIRECTLY TO MICROCHIP FOR THIS SOFTWARE.
##############################################################################
# generate code files
projectPath = "config/" + Variables.get("__CONFIGURATION_NAME") + "/gfx/driver/ili9488"
# common gfx driver header
GFX_DRIVER_H = comp.createFileSymbol("GFX_DRIVER_H", None)
GFX_DRIVER_H.setSourcePath("../../templates/gfx_driver.h.ftl")
GFX_DRIVER_H.setDestPath("gfx/driver/")
GFX_DRIVER_H.setOutputName("gfx_driver.h")
GFX_DRIVER_H.setProjectPath(projectPath)
GFX_DRIVER_H.setType("HEADER")
GFX_DRIVER_H.setMarkup(True)
GFX_DRIVER_C = comp.createFileSymbol("GFX_DRIVER_C", None)
GFX_DRIVER_C.setSourcePath("../../templates/gfx_driver.c.ftl")
GFX_DRIVER_C.setDestPath("gfx/driver/")
GFX_DRIVER_C.setOutputName("gfx_driver.c")
GFX_DRIVER_C.setProjectPath(projectPath)
GFX_DRIVER_C.setType("SOURCE")
GFX_DRIVER_C.setMarkup(True)
GFX_ILI9488_C = comp.createFileSymbol("GFX_ILI9488_C", None)
GFX_ILI9488_C.setDestPath("gfx/driver/controller/ili9488/")
GFX_ILI9488_C.setSourcePath("templates/drv_gfx_ili9488.c.ftl")
GFX_ILI9488_C.setOutputName("drv_gfx_ili9488.c")
GFX_ILI9488_C.setProjectPath(projectPath)
GFX_ILI9488_C.setType("SOURCE")
GFX_ILI9488_C.setMarkup(True)
GFX_ILI9488_H = comp.createFileSymbol("GFX_ILI9488_H", None)
GFX_ILI9488_H.setDestPath("gfx/driver/controller/ili9488/")
GFX_ILI9488_H.setSourcePath("inc/drv_gfx_ili9488.h")
GFX_ILI9488_H.setOutputName("drv_gfx_ili9488.h")
GFX_ILI9488_H.setProjectPath(projectPath)
GFX_ILI9488_H.setType("HEADER")
GFX_ILI9488_CMD_DEFS_H = comp.createFileSymbol("GFX_ILI9488_CMD_DEFS_H", None)
GFX_ILI9488_CMD_DEFS_H.setDestPath("gfx/driver/controller/ili9488/")
GFX_ILI9488_CMD_DEFS_H.setSourcePath("inc/drv_gfx_ili9488_cmd_defs.h")
GFX_ILI9488_CMD_DEFS_H.setOutputName("drv_gfx_ili9488_cmd_defs.h")
GFX_ILI9488_CMD_DEFS_H.setProjectPath(projectPath)
GFX_ILI9488_CMD_DEFS_H.setType("HEADER")
|
class DiskQueueLength(object):
def read_get(self, name, idx_name, unity_client):
return unity_client.get_disk_queue_length(idx_name)
class DiskQueueLengthColumn(object):
def get_idx(self, name, idx, unity_client):
return unity_client.get_disks()
|
#3-1
# names = ['will', 'jess', 'jacob', 'adam']
# for name in names:
# print(name.title())
#3-2
names = ['will', 'jess', 'jacob', 'adam']
for name in names:
print(f"Hello, {name.title()}")
|
# -*- coding: utf-8 -*-
"""Top-level package for scify."""
__author__ = """Daniel Bok"""
__email__ = 'daniel.bok@outlook.com'
__version__ = '0.1.0'
|
class Student:
def __init__(self):
self.name = 'Mohan'
self.age = 10
self.country = 'India'
def mydelete(self):
del self.age
myobj1 = Student()
print("Before deleting: ")
print(myobj1.__dict__)
del myobj1.country # deleting outside of the class
print("After deleting outside of the class: ")
print(myobj1.__dict__)
print("After deleting from inside of the class")
myobj1.mydelete()
print(myobj1.__dict__)
|
def newman_conway(num):
""" Returns a list of the Newman Conway numbers for the given value.
Time Complexity: O(n)
Space Complexity: O(n)
"""
if num == 0:
raise(ValueError)
if num == 1:
return "1"
if num == 2:
return "1 1"
answer = [None, 1, 1]
i = 3
while i in range(3, (num + 1)):
p = answer[answer[i - 1]] + answer[i - answer[i - 1]]
answer.append(p)
i += 1
almost = answer[1:]
final_answer = " ".join(str(n) for n in almost)
return final_answer
|
# Multiple Comparisons
# the way vs. the better way
# simplify chained comparison
# Manas Dash
# Raksha Bhandhan day of 2020
time_of_the_day = 6
day_of_the_week = 'mon'
# this way
if time_of_the_day < 12 and time_of_the_day > 6:
print('Good morning')
# a better way
if 6 < time_of_the_day < 12:
print('Good morning')
# this way
if day_of_the_week == "Mon" or day_of_the_week == "Wed" or day_of_the_week == "Fri" or day_of_the_week == "Sun":
print('its just a week day')
# a better way
if day_of_the_week in "Mon Wed Fri Sun".split(): # you can also specify a tuple ("Mon", "Wed", "Fri", "Sun")
print('its just a week day')
# this way
if time_of_the_day < 17 and time_of_the_day > 10 and day_of_the_week == 'mon':
print('its a working day')
# a better way
if all(time_of_the_day < 17, time_of_the_day > 10, day_of_the_week == 'mon'):
print('its a working day')
# similar way use 'any' for logical operator 'or'
# The way is on the way
|
"""
API Example:
from devml import stats, mkdata
path = "/Users/noah/src/wulio/checkout/"
org_df = mkdata.create_org_df(path)
author_counts = stats.author_commit_count(org_df)
"""
__version__ = "0.5.1"
|
## Designing MinStack
## 1. Using Linked List
## 2. Using Arrays/Lists
class MinStack:
head = None
def __init__(self):
"""
initialize your data structure here.
"""
def push(self, x: int) -> None:
if self.head==None:
self.head = self.Node(x, x, None)
else:
self.head = self.Node(x, min(self.head.min_val, x), self.head)
def pop(self) -> None:
self.head = self.head.next_node
def top(self) -> int:
return self.head.value
def getMin(self) -> int:
return self.head.min_val
class Node:
value = None
min_val = None
next_node = None
def __init__(self, value, min_val, next_node):
self.value = value
self.min_val = min_val
self.next_node = next_node
# Your MinStack object will be instantiated and called as such:
# obj = MinStack()
# obj.push(x)
# obj.pop()
# param_3 = obj.top()
# param_4 = obj.getMin()
|
app.stepsPerSecond = 60
s = 5; d = Circle(200, 200, 25, fill='purple')
def onKeyHold(keys):
# Movement Control
if ('right' in keys): d.centerX += s
if ('left' in keys): d.centerX -= s
if ('up' in keys): d.centerY -= s
if ('down' in keys): d.centerY += s
# Edge Movement
if (d.left >= app.right): d.right = app.left
elif (d.right <= app.left): d.left = app.right
if (d.top >= app.bottom): d.bottom = app.top
elif (d.bottom <= app.top): d.top = app.bottom
|
def foo(a, b, *, bar=True):
print(bar)
# 直接调用报错
foo(1, 2, 3)
|
# Q1
def is_Empty(stack):
if stack == []:
return True
else:
return False
def pop(stack):
if is_Empty(stack):
print("Underflow")
else:
item = stack.pop()
print(item, 'is popped')
if len(stack) == 0:
top = None
else:
top = len(stack)-1
return item
def display(stack):
if is_Empty(stack):
print("Stack is empty")
else:
top = len(stack)-1
print(stack[top], 'is the top of stack')
if len(stack) == 1:
print("it is the only element")
else:
for a in range(top-1, -1, -1):
print(stack[a])
def push(stack):
l = int(len(stack))+1
name = input("enter employee name: ")
kr = [l, name]
stack.append(kr)
stack = []
while True:
print('-------------------------------------STACK OPERATIONS-------------------------------------')
print('1. PUSH', '2. POP', '3. DISPLAY', '4. EXIT', sep='\n')
try:
choice = int(input("make your choice: "))
except:
print('enter valid data type ')
continue
if choice == 1:
push(stack)
elif choice == 2:
pop(stack)
elif choice == 3:
display(stack)
elif choice == 4:
print("program terminated ")
break
else:
print("Wrong input, enter a number from 1-4 ")
print('\n')
|
class LinkedListNode:
def __init__(self, val):
self.val = val
self.next = None
def intersection(a, b):
nodes = set()
while a is not None:
nodes.add(a.val)
a = a.next
while b is not None:
if b.val in nodes:
return b.val
b = b.next
return None
|
# TODO
class A:
def __init__(self, value):
self.value = value
def __matmul__(self, other):
print('__matmul__')
return A(self.value * other.value)
def __imatmul__(self, other):
print('__imatmul__')
self.value *= other.value
return self
a = A(1)
b = A(2)
print((a @ b).value)
a @= b
print(a.value)
|
# -*- coding: utf-8 -*-
# Copyright (c) 2004-2014 Alterra, Wageningen-UR
# Allard de Wit (allard.dewit@wur.nl), April 2014
"""Settings for PCSE
Default values will be read from the files 'pcse/settings/default_settings.py'
User specific settings are read from '$HOME/.pcse/user_settings.py'. Any
settings defined in user settings will override the default settings
Setting must be defined as ALL-CAPS and can be accessed as attributes
from pcse.settings.settings
For example, to use the settings in a module under 'crop':
from ..settings import settings
print settings.METEO_CACHE_DIR
Settings that are not ALL-CAPS will generate a warning. To avoid warnings
for everything that is not a setting (such as imported modules), prepend
and underscore to the name.
"""
# Location for meteo cache files
METEO_CACHE_DIR = "meteo_cache"
# Do range checks for meteo variables
METEO_RANGE_CHECKS = True
# PCSE sets all rate variables to zero after state integration for consistency.
# You can disable this behaviour for increased performance.
ZEROFY = True
# Configuration of logging
# The logging system of PCSE consists of two log handlers. One that sends log messages
# to the screen ('console') and one that sends message to a file. The location and name of
# the log is defined by LOG_DIR and LOG_FILE_NAME. Moreover, the console and file handlers
# can be given a log level as defined LOG_LEVEL_FILE and LOG_LEVEL_CONSOLE. By default
# these levels are INFO and WARNING meaning that log message of INFO and up are sent to
# file and WARNING and up are send to the console. For detailed log messages the log
# level can be set to DEBUG but this will generate a large number of logging messages.
#
# Log files can become 1Mb large. When this file size is reached a new file is opened
# and the old one is renamed. Only the most recent 7 log files are retained to avoid
# getting large log file sizes.
LOG_LEVEL_CONSOLE = "INFO"
LOG_CONFIG = \
{
'version': 1,
'formatters': {
'standard': {
'format': '%(asctime)s [%(levelname)s] %(name)s: %(message)s'
},
'brief': {
'format': '[%(levelname)s] - %(message)s'
},
},
'handlers': {
'console': {
'level':LOG_LEVEL_CONSOLE,
'class':'logging.StreamHandler',
'formatter':'brief'
},
},
'root': {
'handlers': ['console'],
'propagate': True,
'level':'NOTSET'
}
}
|
__author__ = 'Tierprot'
class MutGen():
AA_voc = ["G", "A", "V", "L", "I", "P", "F", "Y", "W", "S",
"T", "C", "M", "N", "Q", "K", "R", "H", "D", "E"]
def __init__(self, input_file, vocabulary=None, positions=None):
try:
main_name, main_sequence = MutGen.load_seq(input_file)
self.main_name = main_name
self.sequences = {main_name: main_sequence}
except Exception as exp:
print(exp)
# restricting AA mutation variations
if vocabulary:
self.AA_voc = vocabulary
# restriction of positions to mutate
if positions:
self.positions = positions
else:
main_name = ''.join(list(self.sequences.keys()))
self.positions = list(range(len(self.sequences[main_name])))
@staticmethod
def load_seq(input_file):
# loading of a base sequence
name, sequence = '', ''
with open(input_file, 'r') as base:
for line in base:
if '>' in line:
name = line.strip()
else:
sequence += line.strip()
return name, sequence
def gen_mut(self):
# generation of provided mutations
try:
for position in self.positions:
for mutation in self.AA_voc:
if mutation != self.sequences[self.main_name][position]:
name = self.main_name + '_' + str(position) + self.sequences[self.main_name][position] \
+ '_to_' + str(position) + mutation
seq = self.sequences[self.main_name]
seq = seq[:position] + mutation + seq[position+1:]
self.sequences.update({name: seq})
except Exception as exp:
print(exp)
def get_titles(self):
try:
return list(self.sequences.keys())
except Exception:
print("Object is empty")
return None
def get_sequnce(self, key):
try:
return self.sequences[key]
except Exception:
print("No record with key {} was found!".format(key))
def save_fasta(self):
# saving sequences to a file in a fasta format
sorted_seqs = sorted(self.sequences.items())
with open(self.main_name[1:] + '.fasta', "w") as output:
for record, sequence in sorted_seqs:
output.write(record + '\n')
output.write(sequence + '\n')
|
for _ in range(int(input())):
k, q = map(int, input().split())
mot = sorted(list(map(int, input().split())))
sat = sorted(list(map(int, input().split())))
qs = []
for i in range(q):
qs.append(int(input()))
gen = [mot[i]+sat[j] for i in range(k) for j in range(min(k, 10001//(i+1)))]
gen.sort()
res = [gen[e-1] for e in qs]
print(*res)
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Estimation methods for the Euler Number"""
def series(n_terms=1000):
"""Estimate e with series: 1/1 + 1/1 + 1/(1*2) + 1/(1*2*3) + ..."""
def factorial(n):
result = 1
for i in range(1, n+1):
result *= i
return result
print(sum([1/factorial(i) for i in range(n_terms)]))
def limit(n_limit=1000):
"""Estimate e with limit: (1 + 1/n) ^ n"""
print((1 + 1/n_limit)**n_limit)
if __name__ == '__main__':
estimation_1 = series()
estimation_2 = limit()
|
#!/usr/bin/env python
# _*_ coding:utf-8 _*_
'''=================================
@Author :tix_hjq
@Date :2020/7/21 上午9:00
@File :__init__.py.py
@email :hjq1922451756@gmail.com or 1922451756@qq.com
================================='''
|
# This example uses python classes for addition
class Numbers(object):
def __init__(self):
self.sum = 0
def add(self,x):
# Addtion funciton
self.sum += x
def total(self):
# Returns the total of the sum
return self.sum
if __name__ == "__main__":
# Prints 12 on the terminal when the file is run,
# you can even use input() to get numbers from
# users.
add = Numbers()
add.add(5)
add.add(7)
y = add.total()
print("Total Sum : " , y)
|
"""练习 1:使用生成器表达式在列表中获取所有字符串.
list01 = [43, "a", 5, True, 6, 7, 89, 9, "b"]
练习 2:在列表中获取所有整数,并计算它的平fang."""
list01 = [43, "a", 5, True, 6, 7, 89, 9, "b"]
gd1 = (item for item in list01 if type(item) is str)
for item in gd1:
print(item)
gd2 = (item2 for item2 in list01 if type(item2) is int)
for item2 in gd2:
result=item2**2
print(result)
|
class CheckFileGenerationEnum:
GENERATED_SUCCESS = "generated_success"
GENERATED_EMPTY = "generated_empty"
NOT_GENERATED = "not_generated"
# try to find the internal value and return
def __getattr__(self, name):
if name in self:
return name
raise AttributeError
# prohibit any attempt to set any values
def __setattr__(self, key, value):
raise ValueError("No changes allowed.")
class JSONSchemasEnum:
WORKFLOW_SCHEMA = "workflow"
# sub-schemas
HEADER_SCHEMA = "header"
STEPS_SCHEMA = "steps"
STEP_SCHEMA = "step"
# try to find the internal value and return
def __getattr__(self, name):
if name in self:
return name
raise AttributeError
# prohibit any attempt to set any values
def __setattr__(self, key, value):
raise ValueError("No changes allowed.")
|
value = '6'
if value == '7':
print('The value is 7')
elif value == '8':
print('The value is 8')
else:
print('The value is not one we are looking for')
print('Finished!')
|
def json_dates_handler(obj):
if hasattr(obj, 'isoformat'):
return obj.isoformat()
return str(obj)
|
#Dock download & install
def getDocker():
run('sudo apt-get update')
run('sudo apt-get install -y docker.io')
run('sudo docker pull sn1k/submodulo-alberto')
#Ejecucion de docker
def runDocker():
run('sudo docker run -p 80:80 -i -t sn1k/submodulo-alberto')
|
"Twilio backend for the RapidSMS project."
__version__ = '1.0.1'
|
class Trie(object):
'''The main Trie object.'''
def __init__(self, words):
'''Takes the text given and creates a Trie.'''
self.root = Node(None, '')
self.words = words
self.build(words)
def build(self, text):
'''Encapsulates all of the preprocessing build logic.'''
for word_index, word in enumerate(self.words):
node = self.root
for i in xrange(0, len(word)):
if word[i] not in node.successors:
node.add(word[i])
node = node.successors[word[i]]
node.word = self.words[word_index]
def check_exists(self, word):
'''In the Trie, check if a given word exists.'''
node = self.root
for i in xrange(0, len(word)):
if word[i] not in node.successors:
return False
node = node.next(word[i])
return True
def add(self, word):
'''Add a word to the Trie.'''
self.words.append(word)
node = self.root
for i in xrange(0, len(word)):
if word[i] not in node.successors:
node.add(word[i])
node = node.next(word[i])
node.word = self.words[-1]
class Node(object):
'''The nodes, which are characters in the english alphabet, [A-Za-z].'''
def __init__(self, predecessor, char):
'''Initialize node. Need its predecessor and the char it represents.'''
self.char = char
self.word = None
self.predecessor = predecessor
self.successors = dict()
def add(self, char):
'''Add a char to a node. If it's already there, it doesn't bother.'''
if char in self.successors:
return
self.successors[char] = Node(self, char)
def next(self, char):
return self.successors.get(char, None)
|
# 4. Пользователь вводит строку из нескольких слов, разделённых пробелами.
# Вывести каждое слово с новой строки. Строки необходимо пронумеровать.
# Если в слово длинное, выводить только первые 10 букв в слове.
# userTense = "В студеную зимнюю пору я из лесу вышел, был сильный мороз 123456789abcdef"
userTense = input("Введите предложение: ")
my_list = list(userTense.split(" "))
print(my_list)
for el in my_list:
if len(el) > 10:
print(el[:10])
else:
print(el)
|
"""
Exercise 1: Revise a previous program as follows: Read and parse the “From” lines and pull out the addresses from the line. Count the number of messages from each person using a dictionary.
After all the data has been read, print the person with the most commits by creating a list of (count, email) tuples from the dictionary. Then sort the list in reverse order and print out the person who has the most commits.
"""
fname = input('Enter a file name: ')
d = dict()
with open(fname, 'r') as f:
for line in f:
if line.startswith('From '):
e = line.split()[1]
d[e] = d.get(e, 0) + 1
count, email = sorted([(v, k) for k, v in d.items()], reverse=True)[0]
print(email, count)
|
a,b=map(int,input().split())
c,d=map(int,input().split())
e,f=map(int,input().split())
if (a-c)*(d-f)==(b-d)*(c-e):
print('WHERE IS MY CHICKEN?')
else:
print('WINNER WINNER CHICKEN DINNER!')
|
def info():
name = input("Enter Your Name : ")
fname = input("Enter Your Father Name : ")
mname = input("Enter Your Mother Name : ")
while True:
try:
age = int(input("\033[0m Enter your age: "))
break
except Exception as e:
print("\033[31m invalid age\nplease try again ")
continue
if age >18:
x = len(fname)
y = x // 2
print ("Your father middle character: ", fname[y])
print ("Your Mother middle character: ", mname[y])
else:
fx = fname [-1]
mx = mname [-1]
print ("You are not 18")
print ("Your father last character: ", fx)
print ("Your Mother last character: ", mx)
rep = input('\n[+] press restart for restart......')
info()
info()
|
# Personal Greeter
# Demonstrates getting user input
name = input("Hi. What's your name? ")
print(name)
print("Hi,", name)
input("\n\nPress the enter key to exit.")
|
def plusOne(arr):
result = int("".join([str(each) for each in arr])) + 1
result = str(result)
return list(result)
# if want = result[-1] = digits[-1] + 1:
# l = digits[-1]
# digits.pop()
# l = l + 1
# digits.append(l)
# return digits
if __name__ == "__main__":
arr = [1, 2, 4, 5, 6]
print(plusOne(arr))
|
def approve_new_user(sender, instance, created, *args, **kwarg):
if created:
instance.is_staff = True
instance.is_superuser = True
instance.save()
|
def pylist_to_listnode(self, pylist, link_count):
if len(pylist) > 1:
ret = precompiled.listnode.ListNode(pylist.pop())
ret.next = self.pylist_to_listnode(pylist, link_count)
return ret
else:
return precompiled.listnode.ListNode(pylist.pop(), None)
def XXX(self, l1: ListNode, l2: ListNode) -> ListNode:
out = []
L1 = self.listnode_to_pylist(l1)
L2 = self.listnode_to_pylist(l2)
if len(L2)>len(L1):
m1 = L2
m2 = L1
else:
m1 = L1
m2 = L2
up = 0
for i in range(len(m2)):
if m1[i]+m2[i]+up<=9:
out.append(m1[i]+m2[i]+up)
up = 0
else:
out.append(m1[i]+m2[i]+up-10)
up = 1
if up==1:
if len(m1)==len(m2):
out.append(1)
else:
if sum(m1[len(m2):])==(len(m1)-len(m2))*9:
m1[len(m2):] = [0]*(len(m1)-len(m2))
m1.append(1)
else:
for i in range(len(m2),len(m1)):
if m1[i]+1<=9:
m1[i]+=1
break
else:
m1[i] = 0
for i in range(len(m2),len(m1)):
out.append(m1[i])
else:
for i in range(len(m2),len(m1)):
out.append(m1[i])
return self.pylist_to_listnode(out[::-1], len(out))
|
def fill_tile(n):
if n == 0 or n == 1 or n == 2:
return 1
return fill_tile(n-1) + fill_tile(n-2) + fill_tile(n-3)
print(fill_tile(8))
|
produtos = {1273961531:{'Preço':0.78, 'IVA':13, 'Descrição':'Leite magro da marca Bio.'}} #####Estilo do Dicio#####
# Menú #
while True:
print('|Menú|\n0 - Sair\n1 - Inserir Produto\n2 - Alterar o Preço do produto dado o código\n3 - Aumentar ou diminuir o Preço de todos os Produtos com igual %\n4 - Listar Produtos')
acao = int(input(': '))
if acao == 0:
exit()
elif acao == 1:
codigo = int(input('Introduza o Código do produto\n: '))
preco = float(input('Introduza o Preço do produto\n: '))
iva = int(input('Introduza o IVA do produto\n: '))
descricao = input('Introduza a Descrição do produto\n: ')
produtos.setdefault(codigo,{'Preço':preco, 'IVA':iva, 'Descrição':descricao})
elif acao == 2:
codigo = int(input('Introduza o Código do produto a alterar\n: '))
preco = float(input('Introduza o Preço do produto a alterar\n: '))
produtos[codigo]['Preço'] = preco
elif acao == 3:
percentagem = float(input('Introduza a percentagem do produto a alterar\n: '))
for k in produtos:
produtos[k]['Preço'] = round(produtos[k]['Preço']+produtos[k]['Preço']*(percentagem/100), 2)
elif acao == 4:
for p in produtos:
print('************')
print('Código {0}:\n Preço - {1}\n IVA - {2}%\n Descrição - {3}'.format(p,produtos[p]['Preço'],produtos[p]['IVA'], produtos[p]['Descrição']))
print('************')
else:
print('Tem que introduzir um nº que esteja entre 0e4.')
|
#Following are the operators supported
# + Addition
# - Subration
# * Multiplication
# / Division
# % Modulus
# // Integer Division
# ** Exponential
#
#If any of operand is float the result is float
print(3+2) #prints 5
print(3-2) #prints 1
print(3*2) #prints 6
print(2.5+2) #Prints 4.5 (float)
#In division result is always float irrespective of Operand
print(10/2) #Prints 5.0
#In Modulus if both the operands are Integer the result is Integer and If one operand is float the result is float
print(5%2) #Prints 1
print(14.75%4) #prints 2.75
#In Exponential if both the operands are Integer the result is Integer and If one operand is float the result is float
print(3.5**2) #Prints 12.25
print(3**3) #Prints 27
#Integer division is also called as floor division. First performs the normal division and then applies floor() to result
print(10.5//2) #Prints 5.0
print(-5//2) #Prints -3
#Arithmetic Operations on Strings
print('2'+'3') #Prints 23
print('abc'+str(2+3)) #Prints abc5
print(3*'Hello') #Prints HelloHelloHello
print(3*True) #Prints 3 (True converted to 1)
#Arithmetic Operations on Complex Numbers
e = 2+3j
f = 4-6j
print(e+f) #Prints (6-3j)
print(e*f) #Prints (26+0j)
print(e-f) #Prints (-2+9j)
|
"""
78 Two bags of Potatoes - https://codeforces.com/problemset/problem/239/A
"""
y,k,n = map(int,input().split())
f=[]
x=k-y%k
while(x<n-y+1):
f.append(str(x))
x+=k
if len(f):
print(' '.join(f))
else:
print('-1')
|
num = 0
total = 0
while True:
number = input("Enter a number: ")
if number == "done":
break
try:
numb = float(number)
except:
print("invalid input")
continue
num = num + 1
total = total + numb
print(int(total), num, total/num)
|
number_1 = int(input("Digite a nota 1: "))
number_2 = int(input("Digite a nota 1: "))
number_3 = int(input("Digite a nota 1: "))
number_4 = int(input("Digite a nota 1: "))
media = (number_1 + number_2 + number_3 + number_4) / 4
print("A média é {}.".format(media))
|
"""
Faster R-CNN with Wasserstein NMS (only train)
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=1500 ] = 0.115
Average Precision (AP) @[ IoU=0.25 | area= all | maxDets=1500 ] = -1.000
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=1500 ] = 0.265
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=1500 ] = 0.083
Average Precision (AP) @[ IoU=0.50:0.95 | area=verytiny | maxDets=1500 ] = 0.000
Average Precision (AP) @[ IoU=0.50:0.95 | area= tiny | maxDets=1500 ] = 0.076
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=1500 ] = 0.238
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=1500 ] = 0.345
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.173
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=300 ] = 0.178
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=1500 ] = 0.178
Average Recall (AR) @[ IoU=0.50:0.95 | area=verytiny | maxDets=1500 ] = 0.000
Average Recall (AR) @[ IoU=0.50:0.95 | area= tiny | maxDets=1500 ] = 0.111
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=1500 ] = 0.381
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=1500 ] = 0.459
Optimal LRP @[ IoU=0.50 | area= all | maxDets=1500 ] = 0.893
Optimal LRP Loc @[ IoU=0.50 | area= all | maxDets=1500 ] = 0.304
Optimal LRP FP @[ IoU=0.50 | area= all | maxDets=1500 ] = 0.465
Optimal LRP FN @[ IoU=0.50 | area= all | maxDets=1500 ] = 0.722
# Class-specific LRP-Optimal Thresholds #
[0.723 0.678 0.538 0.533 0.804 0.427 0.47 0.056]
+----------+-------+---------------+-------+--------------+-------+
| category | AP | category | AP | category | AP |
+----------+-------+---------------+-------+--------------+-------+
| airplane | 0.224 | bridge | 0.029 | storage-tank | 0.204 |
| ship | 0.201 | swimming-pool | 0.086 | vehicle | 0.129 |
| person | 0.043 | wind-mill | 0.000 | None | None |
+----------+-------+---------------+-------+--------------+-------+
+----------+-------+---------------+-------+--------------+-------+
| category | oLRP | category | oLRP | category | oLRP |
+----------+-------+---------------+-------+--------------+-------+
| airplane | 0.803 | bridge | 0.964 | storage-tank | 0.813 |
| ship | 0.823 | swimming-pool | 0.910 | vehicle | 0.878 |
| person | 0.953 | wind-mill | 1.000 | None | None |
+----------+-------+---------------+-------+--------------+-------+
"""
_base_ = [
'../_base_/models/faster_rcnn_r50_fpn_aitod.py',
'../_base_/datasets/aitod_detection.py',
'../_base_/schedules/schedule_1x.py',
'../_base_/default_runtime.py'
]
model = dict(
train_cfg=dict(
rpn_proposal=dict(
nms_pre=3000,
max_per_img=3000,
nms=dict(type='giou_nms', iou_threshold=0.7))))
# optimizer
optimizer = dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0001)
# learning policy
checkpoint_config = dict(interval=4)
|
def migrate(cr, installed_version):
cr.execute("""
DROP TABLE IF EXISTS request_wizard_assign CASCADE;
DELETE FROM ir_model WHERE model = 'request.wizard.assign';
""")
|
child_network_params = {
"learning_rate": 3e-5,
"max_epochs": 100,
"beta": 1e-3,
"batch_size": 20
}
controller_params = {
"max_layers": 3,
"components_per_layer": 4,
'beta': 1e-4,
'max_episodes': 2000,
"num_children_per_episode": 10
}
|
# WAP that takes some text and returns a list of all characters
# in the text which are not vowels, sorted in alphabetical order.
# You can either enter the text from the keyboard or
# initialize a string variable with the string
# soln get the set and subtract the set from the vowels set
# text = set(input().lower())
for i in set(input().upper()) - frozenset('AEIOU'):
print(i)
|
SEED = 1
TOPIC_POKEMONS = 'pokemons'
TOPIC_USERS = 'users'
GROUP_DASHBOARD = 'dashboard'
GROUP_LOGIN_CHECKER = 'checker'
DATA = 'data/pokemon.csv'
COORDINATES = {
'GAUSS_LAT_MADRID': {'mu': 40.45, 'sigma': 0.2},
'GAUSS_LON_MADRID': {'mu': -3.60, 'sigma': 0.4},
'GAUSS_LAT_SEGOVIA': {'mu': 40.95, 'sigma': 0.1},
'GAUSS_LON_SEGOVIA': {'mu': -4.12, 'sigma': 0.2}
}
MEAN_INTERVAL = 3
MEAN_LOGIN = 5
NUM_USERS = 5
|
class Solution(object):
def longestValidParentheses(self, s):
"""
:type s: str
:rtype: int
"""
longest = 0
stack = []
begin = -1
for i in range(len(s)):
if '(' == s[i]:
stack.append(i)
elif ')' == s[i]:
if 0 == len(stack):
begin = i
else:
stack.pop()
if 0 == len(stack):
length = i - begin
else:
length = i - stack[-1]
longest = max(longest, length)
return longest
|
#--- Exercício 2 - Funções
#--- Escreva uma função que leia dois números do console
#--- Armazene cada número em uma variável
#--- Realize a divisão entre os dois números e armazene o resultado em uma terceira variável
#--- Imprima o resultado e uma mensagem usando f-string
def divisao(num1, num2):
if num2 == 0:
print("Operação inválida. O divisor não pode ser 0")
else:
resultado = num1/num2
return resultado
numero1 = int(input("Insira o número1: "))
numero2 = int(input("Insira o número2: "))
print(f"A divisão entre {numero1} e {numero2} é {divisao(numero1,numero2)}")
|
"""
1698. Number of Distinct Substrings in a String
Medium
Given a string s, return the number of distinct substrings of s.
A substring of a string is obtained by deleting any number of characters (possibly zero) from the front of the string and any number (possibly zero) from the back of the string.
Example 1:
Input: s = "aabbaba"
Output: 21
Explanation: The set of distinct strings is ["a","b","aa","bb","ab","ba","aab","abb","bab","bba","aba","aabb","abba","bbab","baba","aabba","abbab","bbaba","aabbab","abbaba","aabbaba"]
Example 2:
Input: s = "abcdefg"
Output: 28
Constraints:
1 <= s.length <= 500
s consists of lowercase English letters.
Follow up: Can you solve this problem in O(n) time complexity?
"""
class Solution:
def countDistinct(self, s: str) -> int:
trie, res = dict(), 0
for i in range(len(s)):
cur = trie
for j in range(i,len(s)):# for substring from i to j
if s[j] not in cur: #if current substring has not appeared previously.
cur[s[j]] = dict()
res+=1
cur = cur[s[j]]
return res
|
def factorial(n):
if n == 1:
return n
else:
return n*factorial(n-1)
number = int(input("Enter a number: "))
if number < 0:
print("Sorry, factorial does not exist for negative numbers")
elif number == 0:
print("The factorial of 0 is 1")
else:
print("The factorial of",number,"is",factorial(number))
|
# AUTOGENERATED BY NBDEV! DO NOT EDIT!
__all__ = ["index", "modules", "custom_doc_links", "git_url"]
index = {"nothing_here": "00_core.ipynb",
"expand_hyphen": "notation.ipynb",
"del_dot": "notation.ipynb",
"del_zero": "notation.ipynb",
"get_unique": "notation.ipynb",
"expand_star": "notation.ipynb",
"expand_colon": "notation.ipynb",
"expand_regex": "notation.ipynb",
"expand_code": "notation.ipynb",
"get_rows": "query.ipynb"}
modules = ["core.py",
"charlson.py",
"notation.py",
"query.py"]
doc_url = "https://hmelberg.github.io/pinga/"
git_url = "https://github.com/hmelberg/pinga/tree/master/"
def custom_doc_links(name): return None
|
def cumulative(list_of_numbers):
cumulative_sum = 0
new_list = []
for i in list_of_numbers:
cumulative_sum += i
new_list.append(cumulative_sum)
return new_list
list = [1,2,3,4,5,6,7,8,9]
print(cumulative(list))
|
PACKAGES = {
"ctypes": ["0.17.1", ["ctypes.foreign"]],
"ctypes-foreign": ["0.4.0"], # WARNING: requires libffi-dev
}
opam = struct(
version = "2.0",
switches = {
"mina-0.1.0": struct(
default = True,
compiler = "4.07.1",
packages = PACKAGES
),
"4.07.1": struct(
compiler = "4.07.1",
packages = PACKAGES
)
}
)
|
def EIderivs(E_grid, I_grid, pars):
"""
Time derivatives for E/I variables (dE/dt, dI/dt).
"""
tau_E, a_E, theta_E = pars['tau_E'], pars['a_E'], pars['theta_E']
tau_I, a_I, theta_I = pars['tau_I'], pars['a_I'], pars['theta_I']
wEE, wEI = pars['wEE'], pars['wEI']
wIE, wII = pars['wIE'], pars['wII']
I_ext_E, I_ext_I = pars['I_ext_E'], pars['I_ext_I']
# complete the code according Equations. (4)
dEdt=(-E_grid + F(wEE*E_grid-wEI*I_grid+I_ext_E,a_E,theta_E))/tau_E
dIdt=(-I_grid + F(wIE*E_grid-wII*I_grid+I_ext_I,a_I,theta_I))/tau_I
return dEdt, dIdt
pars = default_pars()
with plt.xkcd():
fig4 = plt.figure(figsize=(8/0.9, 5.5/0.9))
ax = fig4.add_axes([0.1, 0.1, 0.6, 0.7])
my_plot_trajectories(pars, 0.2, 6, 'Sample trajectories \nof different initials')
my_plot_trajectory(pars, 'orange', [0.6, 0.8], 'Sample trajectory to \nlow activity')
my_plot_trajectory(pars, 'm', [0.6, 0.6], 'Sample trajectory to \nhigh activity')
my_plot_vector(pars)
my_plot_nullcline(pars)
plt.legend(loc=[1.02, 0.6], fontsize=12, handlelength=1)
|
labels={}
def lex(filecontents):
filecontents=list(filecontents)
tokens=[]
#Implementations left#
#Stack keywords
#Rotate
#16 bit operations
#JUMP operations
keywords=["STA","MVI","MOV","LDA","ADD","ADC","ADI","ACI","SUB","SUI","SBB","SBI","INR","DCR","CMP",
"CPI","ANA","ANI","XRA","XRI","ORA","ORI","JMP","JNZ","JZ","JC","JNC"]
next_state={"STA":1,"MVI":5,"MOV":2,"LDA":1,"ADD":2,"ADC":2,"ADI":3,"ACI":3,"SUB":2,"SUI":3,"SBB":2,
"SBI":3,"INR":2,"DCR":2,"CMP":2,"CPI":3,"ANA":2,"ANI":3,"XRA":2,"XRI":3,"ORA":2,"ORI":3,"JMP":6,"JNZ":6,"JZ":6,"JC":6,"JNC":6}
### Token codes used : ###
# ADR: String
# VL8: 8-bit Data
# REG: Register
tok=""
string=""
state=0
d8=""
lab=""
### State descriptions ###
# state = 0; Keywords and variables
# state = 1; String Address datatype
# state = 2: String register name
# state = 3: String 8-bit data
# state = 4: String 16-bit data
# state = 5: Exceptional state
# state = 6: Label
for c in filecontents:
tok=tok+c
if(tok in (" ",",")):
tok=""
elif(c==":"):
tok=tok[:-1]
tokens.append("LAB:"+tok)
labels[tok]=len(tokens)
tok=""
state=0
elif (tok=="\n"):
if(state==1):
tokens.append("ADR:"+string)
string=""
elif(state==3):
tokens.append("VL8:"+d8)
d8=""
elif(state==6):
tokens.append("LAB:"+lab)
lab=""
tok=""
state=0
elif(tok.isdigit() and state in (1,2)):
if(state==2):
state=3
d8+=c
tok=""
if(state==1):
string+=c
elif(tok in keywords):
tokens.append(tok)
state=next_state[tok]
tok=""
elif(tok=="HLT"):
#print(tokens)
return tokens
elif (state==1):
string+=c
tok=""
elif (state==2):
tokens.append("REG:"+tok)
tok=""
elif(state==3):
d8+=tok
tok=""
elif(state==5):
tokens.append("REG:"+tok)
tok=""
state=3
elif(state==6):
lab+=c
tok=""
return tokens
|
_base_ = './cascade_rcnn_r101_fpn_1x.py'
model = dict(
pretrained='open-mmlab://msra/hrnetv2_w40',
backbone=dict(
_delete_=True,
type='HRNet',
extra=dict(
stage1=dict(
num_modules=1,
num_branches=1,
block='BOTTLENECK',
num_blocks=(4, ),
num_channels=(64, )),
stage2=dict(
num_modules=1,
num_branches=2,
block='BASIC',
num_blocks=(4, 4),
num_channels=(40, 80)),
stage3=dict(
num_modules=4,
num_branches=3,
block='BASIC',
num_blocks=(4, 4, 4),
num_channels=(40, 80, 160)),
stage4=dict(
num_modules=3,
num_branches=4,
block='BASIC',
num_blocks=(4, 4, 4, 4),
num_channels=(40, 80, 160, 320)))),
neck=dict(
_delete_=True,
type='HRFPN',
in_channels=[40, 80, 160, 320],
out_channels=256))
load_from = ('/home/chenhansheng/src/mmdetection-tjiiv/checkpoints/'
'cascade_rcnn_hrnetv2p_w40_20e_coco_20200512_161112-75e47b04.pth')
|
def collectUntil(enoughGold):
while hero.gold < enoughGold:
item = hero.findNearestItem()
if item:
hero.moveXY(item.pos.x, item.pos.y)
collectUntil(25)
hero.buildXY("decoy", 40, 52)
hero.moveXY(20, 52)
collectUntil(50)
hero.buildXY("decoy", 68, 22)
hero.buildXY("decoy", 30, 20)
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
""" Do a sequence of checks on the parsed CNV data
"""
|
def howmanyfingersdoihave():
ear.pauseListening()
sleep(1)
fullspeed()
i01.moveHead(49,74)
i01.moveArm("left",75,83,79,24)
i01.moveArm("right",65,82,71,24)
i01.moveHand("left",74,140,150,157,168,92)
i01.moveHand("right",89,80,98,120,114,0)
sleep(2)
i01.moveHand("right",0,80,98,120,114,0)
i01.mouth.speakBlocking("ten")
sleep(.1)
i01.moveHand("right",0,0,98,120,114,0)
i01.mouth.speakBlocking("nine")
sleep(.1)
i01.moveHand("right",0,0,0,120,114,0)
i01.mouth.speakBlocking("eight")
sleep(.1)
i01.moveHand("right",0,0,0,0,114,0)
i01.mouth.speakBlocking("seven")
sleep(.1)
i01.moveHand("right",0,0,0,0,0,0)
i01.mouth.speakBlocking("six")
sleep(.5)
i01.setHeadSpeed(.70,.70)
i01.moveHead(40,105)
i01.moveArm("left",75,83,79,24)
i01.moveArm("right",65,82,71,24)
i01.moveHand("left",0,0,0,0,0,180)
i01.moveHand("right",0,0,0,0,0,0)
sleep(0.1)
i01.mouth.speakBlocking("and five makes eleven")
sleep(0.7)
i01.setHeadSpeed(0.7,0.7)
i01.moveHead(40,50)
sleep(0.5)
i01.setHeadSpeed(0.7,0.7)
i01.moveHead(49,105)
sleep(0.7)
i01.setHeadSpeed(0.7,0.8)
i01.moveHead(40,50)
sleep(0.7)
i01.setHeadSpeed(0.7,0.8)
i01.moveHead(49,105)
sleep(0.7)
i01.setHeadSpeed(0.7,0.7)
i01.moveHead(90,85)
sleep(0.7)
i01.mouth.speakBlocking("eleven")
i01.moveArm("left",70,75,70,20)
i01.moveArm("right",60,75,65,20)
sleep(1)
i01.mouth.speakBlocking("that doesn't seem right")
sleep(2)
i01.mouth.speakBlocking("I think I better try that again")
i01.moveHead(40,105)
i01.moveArm("left",75,83,79,24)
i01.moveArm("right",65,82,71,24)
i01.moveHand("left",140,168,168,168,158,90)
i01.moveHand("right",87,138,109,168,158,25)
sleep(2)
i01.moveHand("left",10,140,168,168,158,90)
i01.mouth.speakBlocking("one")
sleep(.1)
i01.moveHand("left",10,10,168,168,158,90)
i01.mouth.speakBlocking("two")
sleep(.1)
i01.moveHand("left",10,10,10,168,158,90)
i01.mouth.speakBlocking("three")
sleep(.1)
i01.moveHand("left",10,10,10,10,158,90)
i01.mouth.speakBlocking("four")
sleep(.1)
i01.moveHand("left",10,10,10,10,10,90)
i01.mouth.speakBlocking("five")
sleep(.1)
i01.setHeadSpeed(0.65,0.65)
i01.moveHead(53,65)
i01.moveArm("right",48,80,78,11)
i01.setHandSpeed("left", 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
i01.setHandSpeed("right", 1.0, 1.0, 1.0, 1.0, 1.0, 1.0)
i01.moveHand("left",10,10,10,10,10,90)
i01.moveHand("right",10,10,10,10,10,25)
sleep(1)
i01.mouth.speakBlocking("and five makes ten")
sleep(.5)
i01.mouth.speakBlocking("there that's better")
i01.moveHead(95,85)
i01.moveArm("left",75,83,79,24)
i01.moveArm("right",40,70,70,10)
sleep(0.5)
i01.mouth.speakBlocking("inmoov has ten fingers")
sleep(0.5)
i01.moveHead(90,90)
i01.setHandSpeed("left", 0.8, 0.8, 0.8, 0.8, 0.8, 0.8)
i01.setHandSpeed("right", 0.8, 0.8, 0.8, 0.8, 0.8, 0.8)
i01.moveHand("left",140,140,140,140,140,60)
i01.moveHand("right",140,140,140,140,140,60)
sleep(1.0)
i01.setArmSpeed("right", 1.0, 1.0, 1.0, 1.0)
i01.setArmSpeed("left", 1.0, 1.0, 1.0, 1.0)
i01.moveArm("left",5,90,30,11)
i01.moveArm("right",5,90,30,11)
sleep(0.5)
relax()
sleep(0.5)
ear.resumeListening()
|
create_favorite_query = '''
mutation {{
createFavorite (
title: "{title}",
description: "{description}",
category: "{category}",
ranking: {ranking}
) {{
message
errors
favorite {{
id
title
}}
}}
}}
'''
update_favorite_query = '''
mutation {{
updateFavorite (
id: "{id}",
title: "{title}",
description: "{description}",
category: "{category}",
ranking: {ranking}
) {{
message
errors
favorite {{
id
title
description
ranking
category {{
id
name
}}
}}
}}
}}
'''
delete_favorite_query = '''
mutation {{
deleteFavorite(
id: "{id}"
) {{
message
favorite {{
title
}}
}}
}}
'''
all_favorites = '''
query {
favorites {
id
ranking
title
category {
id
name
}
}
}
'''
single_favorite = '''
query {{
favorite(id: "{id}") {{
id
title
description
category {{
id
name
}}
}}
}}
'''
all_audit_log = '''
query {
audits {
id
tableName
tableFields
timestamp
action
}
}
'''
|
# calculator
print(1+2)
print(3)
print(10%2)
print(11%2)
|
"""
Considerando duas listas de inteiros ou floats (lista A e lista B)
Some os valores nas listas retornando uma nova lista com os valores somados:
Se uma lista for maior que a outra, a soma só vai considerar o tamanho da
menor.
Exemplo:
lista_a = [1, 2, 3, 4, 5, 6, 7]
lista_b = [1, 2, 3, 4]
=================== resultado
lista_soma = [2, 4, 6, 8]
"""
list1 = [1,2,3, 4,5 ,6]
list2 = [7,8,9,10,11,12,18,50,100]
totais = [y + x for y, x in zip(list1, list2)]
print(totais)
|
# Следующее и предыдущее
num = int(input())
print("The next number for the number ", num, " is ", num + 1, ".\n"
"The previous number for the number ", num, " is ", num - 1, ".", sep='')
|
# This script is used to format multiple en-ro translation datasets into the following format:
# {english sequence}{TAB character}{romanian sequence}
# \\\\\\\\\\\\\\\\\\\\\\\\\\\\\
# corpus
# \\\\\\\\\\\\\\\\\\\\\\\\\\\\\
# import xml.etree.ElementTree as ET
#
# DATASET_CORPUS = "S:\\datasets\\eng-ron_corpus.tmx"
# OUTPUT_PATH = "S:\\processed\\dataset_corpus.txt"
#
# tree = ET.parse(DATASET_CORPUS)
# root = tree.getroot()
#
# with open(file=OUTPUT_PATH, mode="w", encoding="utf-8") as file:
#
# for tu in root.iter("tu"):
#
# lang_to_text = {}
#
# for tuv in tu.iter("tuv"):
#
# lang = tuv.attrib["{http://www.w3.org/XML/1998/namespace}lang"]
# lang_to_text[lang] = tuv.find("seg").text
#
# file.write(f'{lang_to_text["en"]}\t{lang_to_text["ro"]}\n')
#
#
# DATASET_NWS_EN = "S:\\datasets\\nws\\setimes_lexacctrain.en"
# DATASET_NWS_RO = "S:\\datasets\\nws\\setimes_lexacctrain.ro"
# \\\\\\\\\\\\\\\\\\\\\\\\\\\\\
# nws
# \\\\\\\\\\\\\\\\\\\\\\\\\\\\\
# DATASET_NWS_EN = "S:\\datasets\\nws\\setimes_lexacctrain.en"
# DATASET_NWS_RO = "S:\\datasets\\nws\\setimes_lexacctrain.ro"
# OUTPUT_PATH = "S:\\processed\\dataset_nws.txt"
#
# with open(OUTPUT_PATH, 'w', encoding='utf-8') as file_out:
#
# with open(DATASET_NWS_EN, encoding="utf-8") as file_en,\
# open(DATASET_NWS_RO, encoding="utf-8") as file_ro:
#
# for line_en, line_ro in zip(file_en, file_ro):
# line_en = line_en.rstrip() + '\t'
# line_ro = line_ro.rstrip()
#
# file_out.write(line_en + line_ro + '\n')
# \\\\\\\\\\\\\\\\\\\\\\\\\\\\\
# manythings
# \\\\\\\\\\\\\\\\\\\\\\\\\\\\\
# DATASET_MANYTHINGS = "S:\\datasets\\manythings_ron.txt"
# OUTPUT_PATH = "S:\\processed\\dataset_manythings.txt"
#
# with open(DATASET_MANYTHINGS, encoding='utf-8') as file,\
# open(OUTPUT_PATH, 'w', encoding='utf-8') as file_out:
#
# for line in file:
# file_out.write(line)
# \\\\\\\\\\\\\\\\\\\\\\\\\\\\\
# VALIDATE FORMAT
# \\\\\\\\\\\\\\\\\\\\\\\\\\\\\
# check if the final dataset respects the format
DATASET_PATH = "S:\\processed\\dataset_all.txt"
with open(DATASET_PATH, encoding='utf-8') as file:
for i, line in enumerate(file):
if line.count('\t') != 1:
raise ValueError(f'Only one TAB character must be in a single line.({i + 1})')
|
___assertEqual(float(False), 0.0)
___assertIsNot(float(False), False)
___assertEqual(float(True), 1.0)
___assertIsNot(float(True), True)
|
expected_output = {
"aal5VccEntry": {"3": {}, "4": {}, "5": {}},
"aarpEntry": {"1": {}, "2": {}, "3": {}},
"adslAtucChanConfFastMaxTxRate": {},
"adslAtucChanConfFastMinTxRate": {},
"adslAtucChanConfInterleaveMaxTxRate": {},
"adslAtucChanConfInterleaveMinTxRate": {},
"adslAtucChanConfMaxInterleaveDelay": {},
"adslAtucChanCorrectedBlks": {},
"adslAtucChanCrcBlockLength": {},
"adslAtucChanCurrTxRate": {},
"adslAtucChanInterleaveDelay": {},
"adslAtucChanIntervalCorrectedBlks": {},
"adslAtucChanIntervalReceivedBlks": {},
"adslAtucChanIntervalTransmittedBlks": {},
"adslAtucChanIntervalUncorrectBlks": {},
"adslAtucChanIntervalValidData": {},
"adslAtucChanPerfCurr15MinCorrectedBlks": {},
"adslAtucChanPerfCurr15MinReceivedBlks": {},
"adslAtucChanPerfCurr15MinTimeElapsed": {},
"adslAtucChanPerfCurr15MinTransmittedBlks": {},
"adslAtucChanPerfCurr15MinUncorrectBlks": {},
"adslAtucChanPerfCurr1DayCorrectedBlks": {},
"adslAtucChanPerfCurr1DayReceivedBlks": {},
"adslAtucChanPerfCurr1DayTimeElapsed": {},
"adslAtucChanPerfCurr1DayTransmittedBlks": {},
"adslAtucChanPerfCurr1DayUncorrectBlks": {},
"adslAtucChanPerfInvalidIntervals": {},
"adslAtucChanPerfPrev1DayCorrectedBlks": {},
"adslAtucChanPerfPrev1DayMoniSecs": {},
"adslAtucChanPerfPrev1DayReceivedBlks": {},
"adslAtucChanPerfPrev1DayTransmittedBlks": {},
"adslAtucChanPerfPrev1DayUncorrectBlks": {},
"adslAtucChanPerfValidIntervals": {},
"adslAtucChanPrevTxRate": {},
"adslAtucChanReceivedBlks": {},
"adslAtucChanTransmittedBlks": {},
"adslAtucChanUncorrectBlks": {},
"adslAtucConfDownshiftSnrMgn": {},
"adslAtucConfMaxSnrMgn": {},
"adslAtucConfMinDownshiftTime": {},
"adslAtucConfMinSnrMgn": {},
"adslAtucConfMinUpshiftTime": {},
"adslAtucConfRateChanRatio": {},
"adslAtucConfRateMode": {},
"adslAtucConfTargetSnrMgn": {},
"adslAtucConfUpshiftSnrMgn": {},
"adslAtucCurrAtn": {},
"adslAtucCurrAttainableRate": {},
"adslAtucCurrOutputPwr": {},
"adslAtucCurrSnrMgn": {},
"adslAtucCurrStatus": {},
"adslAtucDmtConfFastPath": {},
"adslAtucDmtConfFreqBins": {},
"adslAtucDmtConfInterleavePath": {},
"adslAtucDmtFastPath": {},
"adslAtucDmtInterleavePath": {},
"adslAtucDmtIssue": {},
"adslAtucDmtState": {},
"adslAtucInitFailureTrapEnable": {},
"adslAtucIntervalESs": {},
"adslAtucIntervalInits": {},
"adslAtucIntervalLofs": {},
"adslAtucIntervalLols": {},
"adslAtucIntervalLoss": {},
"adslAtucIntervalLprs": {},
"adslAtucIntervalValidData": {},
"adslAtucInvSerialNumber": {},
"adslAtucInvVendorID": {},
"adslAtucInvVersionNumber": {},
"adslAtucPerfCurr15MinESs": {},
"adslAtucPerfCurr15MinInits": {},
"adslAtucPerfCurr15MinLofs": {},
"adslAtucPerfCurr15MinLols": {},
"adslAtucPerfCurr15MinLoss": {},
"adslAtucPerfCurr15MinLprs": {},
"adslAtucPerfCurr15MinTimeElapsed": {},
"adslAtucPerfCurr1DayESs": {},
"adslAtucPerfCurr1DayInits": {},
"adslAtucPerfCurr1DayLofs": {},
"adslAtucPerfCurr1DayLols": {},
"adslAtucPerfCurr1DayLoss": {},
"adslAtucPerfCurr1DayLprs": {},
"adslAtucPerfCurr1DayTimeElapsed": {},
"adslAtucPerfESs": {},
"adslAtucPerfInits": {},
"adslAtucPerfInvalidIntervals": {},
"adslAtucPerfLofs": {},
"adslAtucPerfLols": {},
"adslAtucPerfLoss": {},
"adslAtucPerfLprs": {},
"adslAtucPerfPrev1DayESs": {},
"adslAtucPerfPrev1DayInits": {},
"adslAtucPerfPrev1DayLofs": {},
"adslAtucPerfPrev1DayLols": {},
"adslAtucPerfPrev1DayLoss": {},
"adslAtucPerfPrev1DayLprs": {},
"adslAtucPerfPrev1DayMoniSecs": {},
"adslAtucPerfValidIntervals": {},
"adslAtucThresh15MinESs": {},
"adslAtucThresh15MinLofs": {},
"adslAtucThresh15MinLols": {},
"adslAtucThresh15MinLoss": {},
"adslAtucThresh15MinLprs": {},
"adslAtucThreshFastRateDown": {},
"adslAtucThreshFastRateUp": {},
"adslAtucThreshInterleaveRateDown": {},
"adslAtucThreshInterleaveRateUp": {},
"adslAturChanConfFastMaxTxRate": {},
"adslAturChanConfFastMinTxRate": {},
"adslAturChanConfInterleaveMaxTxRate": {},
"adslAturChanConfInterleaveMinTxRate": {},
"adslAturChanConfMaxInterleaveDelay": {},
"adslAturChanCorrectedBlks": {},
"adslAturChanCrcBlockLength": {},
"adslAturChanCurrTxRate": {},
"adslAturChanInterleaveDelay": {},
"adslAturChanIntervalCorrectedBlks": {},
"adslAturChanIntervalReceivedBlks": {},
"adslAturChanIntervalTransmittedBlks": {},
"adslAturChanIntervalUncorrectBlks": {},
"adslAturChanIntervalValidData": {},
"adslAturChanPerfCurr15MinCorrectedBlks": {},
"adslAturChanPerfCurr15MinReceivedBlks": {},
"adslAturChanPerfCurr15MinTimeElapsed": {},
"adslAturChanPerfCurr15MinTransmittedBlks": {},
"adslAturChanPerfCurr15MinUncorrectBlks": {},
"adslAturChanPerfCurr1DayCorrectedBlks": {},
"adslAturChanPerfCurr1DayReceivedBlks": {},
"adslAturChanPerfCurr1DayTimeElapsed": {},
"adslAturChanPerfCurr1DayTransmittedBlks": {},
"adslAturChanPerfCurr1DayUncorrectBlks": {},
"adslAturChanPerfInvalidIntervals": {},
"adslAturChanPerfPrev1DayCorrectedBlks": {},
"adslAturChanPerfPrev1DayMoniSecs": {},
"adslAturChanPerfPrev1DayReceivedBlks": {},
"adslAturChanPerfPrev1DayTransmittedBlks": {},
"adslAturChanPerfPrev1DayUncorrectBlks": {},
"adslAturChanPerfValidIntervals": {},
"adslAturChanPrevTxRate": {},
"adslAturChanReceivedBlks": {},
"adslAturChanTransmittedBlks": {},
"adslAturChanUncorrectBlks": {},
"adslAturConfDownshiftSnrMgn": {},
"adslAturConfMaxSnrMgn": {},
"adslAturConfMinDownshiftTime": {},
"adslAturConfMinSnrMgn": {},
"adslAturConfMinUpshiftTime": {},
"adslAturConfRateChanRatio": {},
"adslAturConfRateMode": {},
"adslAturConfTargetSnrMgn": {},
"adslAturConfUpshiftSnrMgn": {},
"adslAturCurrAtn": {},
"adslAturCurrAttainableRate": {},
"adslAturCurrOutputPwr": {},
"adslAturCurrSnrMgn": {},
"adslAturCurrStatus": {},
"adslAturDmtConfFastPath": {},
"adslAturDmtConfFreqBins": {},
"adslAturDmtConfInterleavePath": {},
"adslAturDmtFastPath": {},
"adslAturDmtInterleavePath": {},
"adslAturDmtIssue": {},
"adslAturDmtState": {},
"adslAturIntervalESs": {},
"adslAturIntervalLofs": {},
"adslAturIntervalLoss": {},
"adslAturIntervalLprs": {},
"adslAturIntervalValidData": {},
"adslAturInvSerialNumber": {},
"adslAturInvVendorID": {},
"adslAturInvVersionNumber": {},
"adslAturPerfCurr15MinESs": {},
"adslAturPerfCurr15MinLofs": {},
"adslAturPerfCurr15MinLoss": {},
"adslAturPerfCurr15MinLprs": {},
"adslAturPerfCurr15MinTimeElapsed": {},
"adslAturPerfCurr1DayESs": {},
"adslAturPerfCurr1DayLofs": {},
"adslAturPerfCurr1DayLoss": {},
"adslAturPerfCurr1DayLprs": {},
"adslAturPerfCurr1DayTimeElapsed": {},
"adslAturPerfESs": {},
"adslAturPerfInvalidIntervals": {},
"adslAturPerfLofs": {},
"adslAturPerfLoss": {},
"adslAturPerfLprs": {},
"adslAturPerfPrev1DayESs": {},
"adslAturPerfPrev1DayLofs": {},
"adslAturPerfPrev1DayLoss": {},
"adslAturPerfPrev1DayLprs": {},
"adslAturPerfPrev1DayMoniSecs": {},
"adslAturPerfValidIntervals": {},
"adslAturThresh15MinESs": {},
"adslAturThresh15MinLofs": {},
"adslAturThresh15MinLoss": {},
"adslAturThresh15MinLprs": {},
"adslAturThreshFastRateDown": {},
"adslAturThreshFastRateUp": {},
"adslAturThreshInterleaveRateDown": {},
"adslAturThreshInterleaveRateUp": {},
"adslLineAlarmConfProfile": {},
"adslLineAlarmConfProfileRowStatus": {},
"adslLineCoding": {},
"adslLineConfProfile": {},
"adslLineConfProfileRowStatus": {},
"adslLineDmtConfEOC": {},
"adslLineDmtConfMode": {},
"adslLineDmtConfTrellis": {},
"adslLineDmtEOC": {},
"adslLineDmtTrellis": {},
"adslLineSpecific": {},
"adslLineType": {},
"alarmEntry": {
"1": {},
"10": {},
"11": {},
"12": {},
"2": {},
"3": {},
"4": {},
"5": {},
"6": {},
"7": {},
"8": {},
"9": {},
},
"alpsAscuA1": {},
"alpsAscuA2": {},
"alpsAscuAlarmsEnabled": {},
"alpsAscuCktName": {},
"alpsAscuDownReason": {},
"alpsAscuDropsAscuDisabled": {},
"alpsAscuDropsAscuDown": {},
"alpsAscuDropsGarbledPkts": {},
"alpsAscuEnabled": {},
"alpsAscuEntry": {"20": {}},
"alpsAscuFwdStatusOption": {},
"alpsAscuInOctets": {},
"alpsAscuInPackets": {},
"alpsAscuMaxMsgLength": {},
"alpsAscuOutOctets": {},
"alpsAscuOutPackets": {},
"alpsAscuRetryOption": {},
"alpsAscuRowStatus": {},
"alpsAscuState": {},
"alpsCktAscuId": {},
"alpsCktAscuIfIndex": {},
"alpsCktAscuStatus": {},
"alpsCktBaseAlarmsEnabled": {},
"alpsCktBaseConnType": {},
"alpsCktBaseCurrPeerConnId": {},
"alpsCktBaseCurrentPeer": {},
"alpsCktBaseDownReason": {},
"alpsCktBaseDropsCktDisabled": {},
"alpsCktBaseDropsLifeTimeExpd": {},
"alpsCktBaseDropsQOverflow": {},
"alpsCktBaseEnabled": {},
"alpsCktBaseHostLinkNumber": {},
"alpsCktBaseHostLinkType": {},
"alpsCktBaseInOctets": {},
"alpsCktBaseInPackets": {},
"alpsCktBaseLifeTimeTimer": {},
"alpsCktBaseLocalHld": {},
"alpsCktBaseNumActiveAscus": {},
"alpsCktBaseOutOctets": {},
"alpsCktBaseOutPackets": {},
"alpsCktBasePriPeerAddr": {},
"alpsCktBaseRemHld": {},
"alpsCktBaseRowStatus": {},
"alpsCktBaseState": {},
"alpsCktP1024Ax25LCN": {},
"alpsCktP1024BackupPeerAddr": {},
"alpsCktP1024DropsUnkAscu": {},
"alpsCktP1024EmtoxX121": {},
"alpsCktP1024IdleTimer": {},
"alpsCktP1024InPktSize": {},
"alpsCktP1024MatipCloseDelay": {},
"alpsCktP1024OutPktSize": {},
"alpsCktP1024RetryTimer": {},
"alpsCktP1024RowStatus": {},
"alpsCktP1024SvcMsgIntvl": {},
"alpsCktP1024SvcMsgList": {},
"alpsCktP1024WinIn": {},
"alpsCktP1024WinOut": {},
"alpsCktX25DropsVcReset": {},
"alpsCktX25HostX121": {},
"alpsCktX25IfIndex": {},
"alpsCktX25LCN": {},
"alpsCktX25RemoteX121": {},
"alpsIfHLinkActiveCkts": {},
"alpsIfHLinkAx25PvcDamp": {},
"alpsIfHLinkEmtoxHostX121": {},
"alpsIfHLinkX25ProtocolType": {},
"alpsIfP1024CurrErrCnt": {},
"alpsIfP1024EncapType": {},
"alpsIfP1024Entry": {"11": {}, "12": {}, "13": {}},
"alpsIfP1024GATimeout": {},
"alpsIfP1024MaxErrCnt": {},
"alpsIfP1024MaxRetrans": {},
"alpsIfP1024MinGoodPollResp": {},
"alpsIfP1024NumAscus": {},
"alpsIfP1024PollPauseTimeout": {},
"alpsIfP1024PollRespTimeout": {},
"alpsIfP1024PollingRatio": {},
"alpsIpAddress": {},
"alpsPeerInCallsAcceptFlag": {},
"alpsPeerKeepaliveMaxRetries": {},
"alpsPeerKeepaliveTimeout": {},
"alpsPeerLocalAtpPort": {},
"alpsPeerLocalIpAddr": {},
"alpsRemPeerAlarmsEnabled": {},
"alpsRemPeerCfgActivation": {},
"alpsRemPeerCfgAlarmsOn": {},
"alpsRemPeerCfgIdleTimer": {},
"alpsRemPeerCfgNoCircTimer": {},
"alpsRemPeerCfgRowStatus": {},
"alpsRemPeerCfgStatIntvl": {},
"alpsRemPeerCfgStatRetry": {},
"alpsRemPeerCfgTCPQLen": {},
"alpsRemPeerConnActivation": {},
"alpsRemPeerConnAlarmsOn": {},
"alpsRemPeerConnCreation": {},
"alpsRemPeerConnDownReason": {},
"alpsRemPeerConnDropsGiant": {},
"alpsRemPeerConnDropsQFull": {},
"alpsRemPeerConnDropsUnreach": {},
"alpsRemPeerConnDropsVersion": {},
"alpsRemPeerConnForeignPort": {},
"alpsRemPeerConnIdleTimer": {},
"alpsRemPeerConnInOctets": {},
"alpsRemPeerConnInPackets": {},
"alpsRemPeerConnLastRxAny": {},
"alpsRemPeerConnLastTxRx": {},
"alpsRemPeerConnLocalPort": {},
"alpsRemPeerConnNoCircTimer": {},
"alpsRemPeerConnNumActCirc": {},
"alpsRemPeerConnOutOctets": {},
"alpsRemPeerConnOutPackets": {},
"alpsRemPeerConnProtocol": {},
"alpsRemPeerConnStatIntvl": {},
"alpsRemPeerConnStatRetry": {},
"alpsRemPeerConnState": {},
"alpsRemPeerConnTCPQLen": {},
"alpsRemPeerConnType": {},
"alpsRemPeerConnUptime": {},
"alpsRemPeerDropsGiant": {},
"alpsRemPeerDropsPeerUnreach": {},
"alpsRemPeerDropsQFull": {},
"alpsRemPeerIdleTimer": {},
"alpsRemPeerInOctets": {},
"alpsRemPeerInPackets": {},
"alpsRemPeerLocalPort": {},
"alpsRemPeerNumActiveCkts": {},
"alpsRemPeerOutOctets": {},
"alpsRemPeerOutPackets": {},
"alpsRemPeerRemotePort": {},
"alpsRemPeerRowStatus": {},
"alpsRemPeerState": {},
"alpsRemPeerTCPQlen": {},
"alpsRemPeerUptime": {},
"alpsSvcMsg": {},
"alpsSvcMsgRowStatus": {},
"alpsX121ToIpTransRowStatus": {},
"atEntry": {"1": {}, "2": {}, "3": {}},
"atecho": {"1": {}, "2": {}},
"atmCurrentlyFailingPVclTimeStamp": {},
"atmForumUni.10.1.1.1": {},
"atmForumUni.10.1.1.10": {},
"atmForumUni.10.1.1.11": {},
"atmForumUni.10.1.1.2": {},
"atmForumUni.10.1.1.3": {},
"atmForumUni.10.1.1.4": {},
"atmForumUni.10.1.1.5": {},
"atmForumUni.10.1.1.6": {},
"atmForumUni.10.1.1.7": {},
"atmForumUni.10.1.1.8": {},
"atmForumUni.10.1.1.9": {},
"atmForumUni.10.144.1.1": {},
"atmForumUni.10.144.1.2": {},
"atmForumUni.10.100.1.1": {},
"atmForumUni.10.100.1.10": {},
"atmForumUni.10.100.1.2": {},
"atmForumUni.10.100.1.3": {},
"atmForumUni.10.100.1.4": {},
"atmForumUni.10.100.1.5": {},
"atmForumUni.10.100.1.6": {},
"atmForumUni.10.100.1.7": {},
"atmForumUni.10.100.1.8": {},
"atmForumUni.10.100.1.9": {},
"atmInterfaceConfEntry": {
"1": {},
"10": {},
"11": {},
"12": {},
"2": {},
"3": {},
"4": {},
"5": {},
"6": {},
"7": {},
"8": {},
"9": {},
},
"atmIntfCurrentlyDownToUpPVcls": {},
"atmIntfCurrentlyFailingPVcls": {},
"atmIntfCurrentlyOAMFailingPVcls": {},
"atmIntfOAMFailedPVcls": {},
"atmIntfPvcFailures": {},
"atmIntfPvcFailuresTrapEnable": {},
"atmIntfPvcNotificationInterval": {},
"atmPVclHigherRangeValue": {},
"atmPVclLowerRangeValue": {},
"atmPVclRangeStatusChangeEnd": {},
"atmPVclRangeStatusChangeStart": {},
"atmPVclStatusChangeEnd": {},
"atmPVclStatusChangeStart": {},
"atmPVclStatusTransition": {},
"atmPreviouslyFailedPVclInterval": {},
"atmPreviouslyFailedPVclTimeStamp": {},
"atmTrafficDescrParamEntry": {
"2": {},
"3": {},
"4": {},
"5": {},
"6": {},
"7": {},
"8": {},
"9": {},
},
"atmVclEntry": {
"10": {},
"11": {},
"12": {},
"13": {},
"3": {},
"4": {},
"5": {},
"6": {},
"7": {},
"8": {},
"9": {},
},
"atmVplEntry": {"2": {}, "3": {}, "4": {}, "5": {}, "6": {}, "7": {}, "8": {}},
"atmfAddressEntry": {"3": {}, "4": {}},
"atmfAtmLayerEntry": {
"1": {},
"10": {},
"11": {},
"12": {},
"13": {},
"14": {},
"15": {},
"2": {},
"3": {},
"4": {},
"5": {},
"6": {},
"7": {},
"8": {},
"9": {},
},
"atmfAtmStatsEntry": {"1": {}, "2": {}, "3": {}, "4": {}},
"atmfNetPrefixEntry": {"3": {}},
"atmfPhysicalGroup": {"2": {}, "4": {}},
"atmfPortEntry": {"1": {}, "3": {}, "4": {}, "5": {}, "6": {}, "7": {}, "8": {}},
"atmfVccEntry": {
"1": {},
"10": {},
"11": {},
"12": {},
"13": {},
"14": {},
"15": {},
"16": {},
"18": {},
"19": {},
"2": {},
"20": {},
"21": {},
"22": {},
"23": {},
"3": {},
"4": {},
"5": {},
"6": {},
"7": {},
"8": {},
"9": {},
},
"atmfVpcEntry": {
"1": {},
"10": {},
"11": {},
"12": {},
"13": {},
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"1": {},
"10": {},
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"2": {},
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"4": {},
"5": {},
"6": {},
"7": {},
"8": {},
"9": {},
},
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"1": {},
"10": {},
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"2": {},
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"4": {},
"5": {},
"6": {},
"7": {},
"8": {},
"9": {},
},
"convSdllcAddrEntry": {"2": {}, "3": {}, "4": {}, "5": {}},
"convSdllcPortEntry": {
"1": {},
"2": {},
"3": {},
"4": {},
"5": {},
"6": {},
"7": {},
},
"cospfAreaEntry": {"1": {}, "2": {}, "3": {}, "4": {}, "5": {}},
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"cospfLocalLsdbEntry": {"6": {}, "7": {}, "8": {}, "9": {}},
"cospfLsdbEntry": {"2": {}, "3": {}, "4": {}, "5": {}},
"cospfShamLinkEntry": {"4": {}, "5": {}, "6": {}, "7": {}, "8": {}, "9": {}},
"cospfShamLinkNbrEntry": {"4": {}, "5": {}, "6": {}, "7": {}, "8": {}, "9": {}},
"cospfShamLinksEntry": {"10": {}, "11": {}, "6": {}, "7": {}, "8": {}, "9": {}},
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"cospfVirtIfEntry": {"1": {}, "2": {}},
"cospfVirtLocalLsdbEntry": {"6": {}, "7": {}, "8": {}, "9": {}},
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"cpfrExitName": {},
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"cpfrMCEntry": {"26": {}, "27": {}, "28": {}, "29": {}, "30": {}},
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"cpfrMapEntry": {"38": {}, "39": {}, "40": {}},
"cpfrMapFallbackLinkGroupName": {},
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"cpfrMatchLearnListName": {},
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"cpfrMatchTCNbarApplPfxList": {},
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"cpfrMatchValid": {},
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"cpfrNbarApplPdIndex": {},
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"cpfrTCDscpValue": {},
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"cpfrTCDstPrefix": {},
"cpfrTCDstPrefixLen": {},
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"cpfrTCMActiveLTDelayAvg": {},
"cpfrTCMActiveLTUnreachableAvg": {},
"cpfrTCMActiveSTDelayAvg": {},
"cpfrTCMActiveSTJitterAvg": {},
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"cpfrTCMAge": {},
"cpfrTCMAttempts": {},
"cpfrTCMLastUpdateTime": {},
"cpfrTCMMOSPercentage": {},
"cpfrTCMPackets": {},
"cpfrTCMPassiveLTDelayAvg": {},
"cpfrTCMPassiveLTLossAvg": {},
"cpfrTCMPassiveLTUnreachableAvg": {},
"cpfrTCMPassiveSTDelayAvg": {},
"cpfrTCMPassiveSTLossAvg": {},
"cpfrTCMPassiveSTUnreachableAvg": {},
"cpfrTCMapIndex": {},
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"cpfrTCMetricsValid": {},
"cpfrTCNbarApplication": {},
"cpfrTCProtocol": {},
"cpfrTCSControlBy": {},
"cpfrTCSControlState": {},
"cpfrTCSLastOOPEventTime": {},
"cpfrTCSLastOOPReason": {},
"cpfrTCSLastRouteChangeEvent": {},
"cpfrTCSLastRouteChangeReason": {},
"cpfrTCSLearnListIndex": {},
"cpfrTCSTimeOnCurrExit": {},
"cpfrTCSTimeRemainCurrState": {},
"cpfrTCSType": {},
"cpfrTCSrcMaxPort": {},
"cpfrTCSrcMinPort": {},
"cpfrTCSrcPrefix": {},
"cpfrTCSrcPrefixLen": {},
"cpfrTCSrcPrefixType": {},
"cpfrTCStatus": {},
"cpfrTrafficClassValid": {},
"cpim": {
"1": {},
"2": {},
"3": {},
"4": {},
"5": {},
"6": {},
"7": {},
"8": {},
"9": {},
},
"cpmCPUHistoryTable.1.2": {},
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"cpmCPUProcessHistoryTable.1.2": {},
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"cpmCPUThresholdTable.1.2": {},
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"cpmCPUTotalTable.1.10": {},
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"cpmProcessExtTable.1.1": {},
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"cpwAtmAvgCellsPacked": {},
"cpwAtmCellPacking": {},
"cpwAtmCellsReceived": {},
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"cpwAtmCellsSent": {},
"cpwAtmCellsTagged": {},
"cpwAtmClpQosMapping": {},
"cpwAtmEncap": {},
"cpwAtmHCCellsReceived": {},
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"cpwAtmIf": {},
"cpwAtmMcptTimeout": {},
"cpwAtmMncp": {},
"cpwAtmOamCellSupported": {},
"cpwAtmPeerMncp": {},
"cpwAtmPktsReceived": {},
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"cpwAtmQosScalingFactor": {},
"cpwAtmRowStatus": {},
"cpwAtmVci": {},
"cpwAtmVpi": {},
"cpwVcAdminStatus": {},
"cpwVcControlWord": {},
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"cpwVcID": {},
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"cpwVcInboundMode": {},
"cpwVcInboundOperStatus": {},
"cpwVcInboundVcLabel": {},
"cpwVcIndexNext": {},
"cpwVcLocalGroupID": {},
"cpwVcLocalIfMtu": {},
"cpwVcLocalIfString": {},
"cpwVcMplsEntry": {
"1": {},
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"3": {},
"4": {},
"5": {},
"6": {},
"7": {},
"8": {},
},
"cpwVcMplsInboundEntry": {
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"3": {},
"4": {},
"5": {},
"6": {},
"7": {},
"8": {},
"9": {},
},
"cpwVcMplsMIB.1.2": {},
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"cpwVcMplsNonTeMappingEntry": {"4": {}},
"cpwVcMplsOutboundEntry": {
"2": {},
"3": {},
"4": {},
"5": {},
"6": {},
"7": {},
"8": {},
"9": {},
},
"cpwVcMplsTeMappingEntry": {"6": {}},
"cpwVcName": {},
"cpwVcNotifRate": {},
"cpwVcOperStatus": {},
"cpwVcOutboundOperStatus": {},
"cpwVcOutboundVcLabel": {},
"cpwVcOwner": {},
"cpwVcPeerAddr": {},
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"cpwVcPeerMappingVcIndex": {},
"cpwVcPerfCurrentInHCBytes": {},
"cpwVcPerfCurrentInHCPackets": {},
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"cpwVcPerfIntervalOutHCPackets": {},
"cpwVcPerfIntervalTimeElapsed": {},
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"cpwVcPerfTotalDiscontinuityTime": {},
"cpwVcPerfTotalErrorPackets": {},
"cpwVcPerfTotalInHCBytes": {},
"cpwVcPerfTotalInHCPackets": {},
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"cpwVcPerfTotalOutHCPackets": {},
"cpwVcPsnType": {},
"cpwVcRemoteControlWord": {},
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"cpwVcRemoteIfMtu": {},
"cpwVcRemoteIfString": {},
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"cpwVcTimeElapsed": {},
"cpwVcType": {},
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"cpwVcUpTime": {},
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"cqvTerminationPeEncap": {},
"cqvTerminationRowStatus": {},
"cqvTranslationEntry": {"3": {}, "4": {}, "5": {}, "6": {}, "7": {}},
"creAcctClientAverageResponseDelay": {},
"creAcctClientBadAuthenticators": {},
"creAcctClientBufferAllocFailures": {},
"creAcctClientDupIDs": {},
"creAcctClientLastUsedSourceId": {},
"creAcctClientMalformedResponses": {},
"creAcctClientMaxBufferSize": {},
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"creAcctClientTimeouts": {},
"creAcctClientTotalPacketsWithResponses": {},
"creAcctClientTotalPacketsWithoutResponses": {},
"creAcctClientTotalResponses": {},
"creAcctClientUnknownResponses": {},
"creAuthClientAverageResponseDelay": {},
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"creAuthClientDupIDs": {},
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"creAuthClientTotalPacketsWithResponses": {},
"creAuthClientTotalPacketsWithoutResponses": {},
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"creClientSourcePortRangeEnd": {},
"creClientSourcePortRangeStart": {},
"creClientTotalAccessRejects": {},
"creClientTotalAverageResponseDelay": {},
"creClientTotalMaxDoneQLength": {},
"creClientTotalMaxInQLength": {},
"creClientTotalMaxWaitQLength": {},
"crttMonIPEchoAdminDscp": {},
"crttMonIPEchoAdminFlowLabel": {},
"crttMonIPEchoAdminLSPSelAddrType": {},
"crttMonIPEchoAdminLSPSelAddress": {},
"crttMonIPEchoAdminNameServerAddrType": {},
"crttMonIPEchoAdminNameServerAddress": {},
"crttMonIPEchoAdminSourceAddrType": {},
"crttMonIPEchoAdminSourceAddress": {},
"crttMonIPEchoAdminTargetAddrType": {},
"crttMonIPEchoAdminTargetAddress": {},
"crttMonIPEchoPathAdminHopAddrType": {},
"crttMonIPEchoPathAdminHopAddress": {},
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"crttMonIPHistoryCollectionAddress": {},
"crttMonIPLatestRttOperAddress": {},
"crttMonIPLatestRttOperAddressType": {},
"crttMonIPLpdGrpStatsTargetPEAddr": {},
"crttMonIPLpdGrpStatsTargetPEAddrType": {},
"crttMonIPStatsCollectAddress": {},
"crttMonIPStatsCollectAddressType": {},
"csNotifications": {"1": {}},
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"csbCallStatsActiveTranscodeFlows": {},
"csbCallStatsAvailableFlows": {},
"csbCallStatsAvailablePktRate": {},
"csbCallStatsAvailableTranscodeFlows": {},
"csbCallStatsCallsHigh": {},
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"csbCallStatsInstancePhysicalIndex": {},
"csbCallStatsNoMediaCount": {},
"csbCallStatsPeakFlows": {},
"csbCallStatsPeakSigFlows": {},
"csbCallStatsPeakTranscodeFlows": {},
"csbCallStatsRTPOctetsDiscard": {},
"csbCallStatsRTPOctetsRcvd": {},
"csbCallStatsRTPOctetsSent": {},
"csbCallStatsRTPPktsDiscard": {},
"csbCallStatsRTPPktsRcvd": {},
"csbCallStatsRTPPktsSent": {},
"csbCallStatsRate1Sec": {},
"csbCallStatsRouteErrors": {},
"csbCallStatsSbcName": {},
"csbCallStatsTotalFlows": {},
"csbCallStatsTotalSigFlows": {},
"csbCallStatsTotalTranscodeFlows": {},
"csbCallStatsUnclassifiedPkts": {},
"csbCallStatsUsedFlows": {},
"csbCallStatsUsedSigFlows": {},
"csbCongestionAlarmNotifEnabled": {},
"csbCurrPeriodicIpsecCalls": {},
"csbCurrPeriodicStatsActivatingCalls": {},
"csbCurrPeriodicStatsActiveCallFailure": {},
"csbCurrPeriodicStatsActiveCalls": {},
"csbCurrPeriodicStatsActiveE2EmergencyCalls": {},
"csbCurrPeriodicStatsActiveEmergencyCalls": {},
"csbCurrPeriodicStatsActiveIpv6Calls": {},
"csbCurrPeriodicStatsAudioTranscodedCalls": {},
"csbCurrPeriodicStatsCallMediaFailure": {},
"csbCurrPeriodicStatsCallResourceFailure": {},
"csbCurrPeriodicStatsCallRoutingFailure": {},
"csbCurrPeriodicStatsCallSetupCACBandwidthFailure": {},
"csbCurrPeriodicStatsCallSetupCACCallLimitFailure": {},
"csbCurrPeriodicStatsCallSetupCACMediaLimitFailure": {},
"csbCurrPeriodicStatsCallSetupCACMediaUpdateFailure": {},
"csbCurrPeriodicStatsCallSetupCACPolicyFailure": {},
"csbCurrPeriodicStatsCallSetupCACRateLimitFailure": {},
"csbCurrPeriodicStatsCallSetupNAPolicyFailure": {},
"csbCurrPeriodicStatsCallSetupPolicyFailure": {},
"csbCurrPeriodicStatsCallSetupRoutingPolicyFailure": {},
"csbCurrPeriodicStatsCallSigFailure": {},
"csbCurrPeriodicStatsCongestionFailure": {},
"csbCurrPeriodicStatsCurrentTaps": {},
"csbCurrPeriodicStatsDeactivatingCalls": {},
"csbCurrPeriodicStatsDtmfIw2833Calls": {},
"csbCurrPeriodicStatsDtmfIw2833InbandCalls": {},
"csbCurrPeriodicStatsDtmfIwInbandCalls": {},
"csbCurrPeriodicStatsFailedCallAttempts": {},
"csbCurrPeriodicStatsFaxTranscodedCalls": {},
"csbCurrPeriodicStatsImsRxActiveCalls": {},
"csbCurrPeriodicStatsImsRxCallRenegotiationAttempts": {},
"csbCurrPeriodicStatsImsRxCallRenegotiationFailures": {},
"csbCurrPeriodicStatsImsRxCallSetupFaiures": {},
"csbCurrPeriodicStatsNonSrtpCalls": {},
"csbCurrPeriodicStatsRtpDisallowedFailures": {},
"csbCurrPeriodicStatsSrtpDisallowedFailures": {},
"csbCurrPeriodicStatsSrtpIwCalls": {},
"csbCurrPeriodicStatsSrtpNonIwCalls": {},
"csbCurrPeriodicStatsTimestamp": {},
"csbCurrPeriodicStatsTotalCallAttempts": {},
"csbCurrPeriodicStatsTotalCallUpdateFailure": {},
"csbCurrPeriodicStatsTotalTapsRequested": {},
"csbCurrPeriodicStatsTotalTapsSucceeded": {},
"csbCurrPeriodicStatsTranscodedCalls": {},
"csbCurrPeriodicStatsTransratedCalls": {},
"csbDiameterConnectionStatusNotifEnabled": {},
"csbH248ControllerStatusNotifEnabled": {},
"csbH248StatsEstablishedTime": {},
"csbH248StatsEstablishedTimeRev1": {},
"csbH248StatsLT": {},
"csbH248StatsLTRev1": {},
"csbH248StatsRTT": {},
"csbH248StatsRTTRev1": {},
"csbH248StatsRepliesRcvd": {},
"csbH248StatsRepliesRcvdRev1": {},
"csbH248StatsRepliesRetried": {},
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}
|
"""
I AM TIRED
Date: 13 March 2020
By Rowan Rathod
This is a short and easy script that just creates or overwrites a file called 'tired.txt'
and repeatedly writes the sentence "i am tired".
At each sentence, one letter is capitalised. On the next sentence, the next character is capitalised instead.
This repeats until the end of the sentence is reached, where the capital letter index is return back to the start.
The whole process is repeated 100 times.
Example:
iteration 1: I am tired
iteration 2: i Am tired
iteration 3: i aM tired
...
iteration 8: i am tireD
iteration 9: I am tired
iteration 10: i Am tired
"""
file = open("tired.txt", "w+")
sentence = "i am tired"
repeat = 100
index = 0
char_index = 0
while repeat > 0:
sen_list = list(sentence)
for i,c in enumerate(sen_list):
if i == char_index:
sen_list[i] = c.upper()
new_sentence = "".join(sen_list)
new_sentence += "\n"
file.write(new_sentence)
char_index += 1
if char_index >= len(sen_list):
char_index = 0
if sen_list[char_index] == " ":
char_index += 1
repeat -= 1
file.close()
|
def default_format_volume_name(template, spawner):
return template.format(username=spawner.user.name)
def escaped_format_volume_name(label_template, spawner):
"""Use this strategy if your usernames include illegal characters
for volume names and you do not use absolute paths in your volume
label template.
"""
return label_template.format(username=spawner.escaped_name)
|
class _FixDoesNotApplyError(Exception):
"""Error raised when a given fixer function does not apply to a particular case."""
pass
class _CouldNotApplyFixError(Exception):
"""Error raised when we could not apply a fix for some reason."""
pass
|
#!/usr/bin/python3
# ‑∗‑ coding: utf‑8 ‑∗‑
class RunEnvironment:
""" Initialize the RunEnv class.
Args:
env: instance of OpenAI Gym's environment
agent: agent that will interact with the environment.
Attributes:
env: instance of OpenAI Gym's environment
agent: agent that will interact with the environment.
"""
def __init__(self, env, agent, render=None):
self.env = env
self.agent = agent
self.render = render
def step(self, state):
# agent choose action with state observation
action = self.agent.action(state)
# agent performs the selected action
next_state, reward, done, info = self.env.step(action)
# agent performs internal updates based on sampled experience
self.agent.step(state, action, reward, next_state, done)
# Return results
return next_state, reward, done, info
def episode(self):
# begin the episode
step = 0
rewards = []
done = False
state = self.env.reset()
while not done:
# Use the render mode if needed
if self.render:
self.env.render()
# Execute one step: the agent take an action and the env return the new state
next_state, reward, done, info = self.step(state)
# update the sampled reward
rewards.append(reward)
# update the state (s <- s') to next time step
state = next_state
# Next step
step += 1
return rewards
|
def int_input(msg):
inp = raw_input(msg)
try:
inp = int(inp)
if inp <= 0:
print("Please enter a non-negative number")
return int_input(msg)
else:
return inp
except:
print("Please enter a valid non-decimal number")
return int_input(msg)
def run():
global starting_hand
global num_copies
global deck_size
global draw_chance
global not_draw
starting_hand = int_input("Starting hand size: ")
num_copies = int_input("Number of copies: ")
deck_size = 0
while num_copies > deck_size:
deck_size = int_input("Deck size: ")
draw_chance = 0.0
not_draw = 1.0;
test()
cont = raw_input("Do you wish to continue? y/n")
if cont == "y":
run()
def draw():
global draw_chance
global not_draw
global deck_size
not_draw *= float((deck_size - num_copies)) / deck_size
draw_chance = 1.0 - not_draw
if draw_chance >= 1.0:
draw_chance = 1.0
deck_size -= 1
def draw_start():
drawn = 0
while drawn < starting_hand:
draw()
drawn += 1
def test():
print(" ")
print("The chance of drawing a card from a deck of " + str(int(deck_size)) + " cards")
print("given " + str(int(num_copies)) + " copies")
print("in a starting hand of " + str(starting_hand) + " cards is:")
draw_start()
print(str(int(draw_chance * 100)) + "%")
print(" ")
run()
|
##############################################################################
# Parte do livro Introdução à Programação com Python
# Autor: Nilo Ney Coutinho Menezes
# Editora Novatec (c) 2010-2017
# Primeira edição - Novembro/2010 - ISBN 978-85-7522-250-8
# Primeira reimpressão - Outubro/2011
# Segunda reimpressão - Novembro/2012
# Terceira reimpressão - Agosto/2013
# Segunda edição - Junho/2014 - ISBN 978-85-7522-408-3
# Primeira reimpressão - Segunda edição - Maio/2015
# Segunda reimpressão - Segunda edição - Janeiro/2016
# Terceira reimpressão - Segunda edição - Junho/2016
# Quarta reimpressão - Segunda edição - Março/2017
#
# Site: http://python.nilo.pro.br/
#
# Arquivo: listagem\capitulo 11\11.29 - Novas classes - listagem parcial.py
##############################################################################
class DBListaÚnica(ListaÚnica):
def __init__(self, elem_class):
super().__init__(elem_class)
self.apagados = []
def remove(self, elem):
if elem.id is not None:
self.apagados.append(elem.id)
super().remove(elem)
def limpa(self):
self.apagados = []
class DBNome(Nome):
def __init__(self, nome, id_=None):
super().__init__(nome)
self.id = id_
class DBTipoTelefone(TipoTelefone):
def __init__(self, id_, tipo):
super().__init__(tipo)
self.id = id_
class DBTelefone(Telefone):
def __init__(self, número, tipo=None, id_=None, id_nome=None):
super().__init__(número, tipo)
self.id = id_
self.id_nome = id_nome
class DBTelefones(DBListaÚnica):
def __init__(self):
super().__init__(DBTelefone)
class DBTiposTelefone(ListaÚnica):
def __init__(self):
super().__init__(DBTipoTelefone)
class DBDadoAgenda:
def __init__(self, nome):
self.nome = nome
self.telefones = DBTelefones()
@property
def nome(self):
return self.__nome
@nome.setter
def nome(self, valor):
if type(valor)!=DBNome:
raise TypeError("nome deve ser uma instância da classe DBNome")
self.__nome = valor
def pesquisaTelefone(self, telefone):
posição = self.telefones.pesquisa(DBTelefone(telefone))
if posição == -1:
return None
else:
return self.telefones[posição]
|
class Solution:
# @param triangle, a list of lists of integers
# @return an integer
def minimumTotal(self, triangle):
n = len(triangle)
dp = triangle[-1]
for i in xrange(n-2, -1, -1):
for j in xrange(i+1):
dp[j] = triangle[i][j] + min(dp[j], dp[j+1])
return dp[0]
|
#Exercício Python 014: Escreva um programa que converta uma temperatura digitando em graus Celsius
# converta para graus Fahrenheit.
c = float(input("Temperatura em celsius: "))
f = c * 9/5 + 32
print("Convertendo...",f,"Em Fahrenheit")
|
class Node:
def __init__(self, value):
self.value = value
self.left = None
self.right = None
def insert(root, node):
if root is None:
root = node
return root
if node.value < root.value:
root.left = insert(root.left, node)
else:
root.right = insert(root.right, node)
return root
def preorder(rootnode):
if rootnode:
print(rootnode.value)
preorder(rootnode.left)
preorder(rootnode.right)
def inorder(rootnode):
if rootnode:
inorder(rootnode.left)
print(rootnode.value)
inorder(rootnode.right)
def postorder(rootnode):
if rootnode:
postorder(rootnode.left)
postorder(rootnode.right)
print(rootnode.value)
def get_minimum(root) -> int:
if root:
while root.left is not None:
root = root.left
print(root.value)
return root.value
def delete_node(root: 'Node', value: int) -> 'Node':
if root is None:
return root
if value < root.value:
root.left = delete_node(root.left, value)
elif value > root.value:
root.right = delete_node(root.right, value)
else:
if root.left is not None:
return root.right
elif root.right is not None:
return root.left
else:
temp = get_minimum(root.right)
root.value = temp
delete_node(root.right, temp)
return root
root_node = Node(10)
insert(root_node, Node(9))
insert(root_node, Node(11))
insert(root_node, Node(4))
insert(root_node, Node(14))
insert(root_node, Node(10))
# preorder(root)
# inorder(root)
# postorder(root_node)
get_minimum(root_node)
node = delete_node(root_node, 9)
postorder(root_node)
|
class Solution:
# @return an integer
def reverse(self, x):
int_max = 2147483647
limit = int_max/10
if x > 0:
sig = 1
elif x < 0:
sig = -1
x = -x
else:
return x
y = 0
while x:
if y > limit:
return 0
y = y*10 + (x % 10)
x /= 10
return y*sig
|
def print_headers():
headers = [
"V_energyF_Electricity_001,",
"V_Costs_Transport_USGC-NEA_NaturalGas_001,",
"V_Costs_MediumPressureSteam_001,",
"V_Costs_CoolingWater_001,",
"V_massF_BiodieselOutput_001,",
"V_Costs_Transport_SG-SC_Methanol_001,",
"V_Price_Storage_NaturalGas_001,",
"V_Price_CoolingWater_001,",
"V_Price_Storage_Biodiesel_001,",
"V_Price_Storage_CrudePalmOil_001,",
"V_Costs_Storage_CrudePalmOil_001,",
"V_Earnings_MethanolOutput_001,",
"V_Price_Storage_Methanol_001,",
"V_massF_HighPressureSteam_001,",
"V_Costs_NaturalGasInput_001,",
"V_Price_Transport_Malaysia-SG_CrudePalmOil_001,",
"V_Price_Electricity_001,",
"V_Costs_CrudePalmOilInput_001,",
"V_massF_LowPressureSteam_001,",
"V_Costs_Storage_Biodiesel_001,",
"V_massF_MethanolOutput_001,",
"V_Price_Transport_SG-SC_Methanol_001,",
"V_moleF_FuelGas_001,",
"V_massF_NaturalGasInput_001,",
"V_Costs_HighPressureSteam_001,",
"V_USD_to_SGD,",
"V_Costs_Transport_Malaysia-SG_CrudePalmOil_001,",
"V_Price_ProcessWater_001,",
"V_Price_Transport_USGC-NEA_NaturalGas_001,",
"V_Costs_Storage_Methanol_001,",
"V_massF_MediumPressureSteam_001,",
"V_Price_HighPressureSteam_001,",
"V_Earnings_BiodieselOutput_001,",
"V_massF_CoolingWater_001,",
"V_USD_to_CNY,",
"V_Costs_LowPressureSteam_001,",
"V_Costs_FuelGas_001,",
"V_massF_CrudePalmOilInput_001,",
"V_Price_MediumPressureSteam_001,",
"V_Costs_Storage_NaturalGas_001,",
"V_Price_LowPressureSteam_001,",
"V_Price_Transport_SEA-SC_Biodiesel_001,",
"V_massF_ProcessWater_001,",
"V_Price_FuelGas_001,",
"V_Costs_Electricity_001,",
"V_Costs_Transport_SEA-SC_Biodiesel_001,",
"V_Costs_ProcessWater_001"
]
string =""
for element in headers:
string = string + element
print(string)
if __name__ == "__main__":
print_headers()
|
first_day = 500 #accounts deleted
pair_user = 50 #hrn
odd_user = 40 #hrn
profit = 500 #hrn
pair_users = 250 * pair_user #hrn
odd_users = 250 * odd_user #hrn
total_loss_of_deleted_users = pair_users + odd_users
total_loss = profit - total_loss_of_deleted_users
print("total loss:" ,total_loss)
|
"""
Some math functions.
"""
def factors(a_int):
"""Find factors of an integer."""
factors_list = []
for i in range(1, a_int):
if a_int % i == 0:
factors_list.append(i)
return factors_list
|
i = 3
shit_indicator = 0
simple_nums = [2]
while len(simple_nums) < 10001:
for k in range(2, i):
if i % k == 0:
shit_indicator = 1
break
if shit_indicator == 1:
pass
else:
simple_nums.append(i)
i += 1
shit_indicator = 0
print(simple_nums[-1])
|
OPTIONS = {
'start': '2018-01' # start of the planning horizon
, 'num_period': 90 # size of the planning horizon
# simulation params:
, 'simulation': {
'num_resources': 15 # this depends on the number of tasks actually
, 'num_parallel_tasks': 1 # number of parallel missions
, 'maint_duration': 6 # maintenance duration
, 'max_used_time': 1000 # maintenance flight hours cycle
, 'max_elapsed_time': 60 # max time without maintenance
, 'elapsed_time_size': 15 # size of window to do next maintenance
, 'min_usage_period': 0 # minimum consumption per period
, 'perc_capacity': 0.15 # maintenance capacity as a percentage of the size of the fleet
, 'min_avail_percent': 0.1 # min percentage of available aircraft per type
, 'min_avail_value': 1 # min num of available aircraft per type
, 'min_hours_perc': 0.5 # min percentage of maximum possible hours of fleet type
, 'seed': 8002 # seed for random data generation (see below)
# The following are fixed options, not arguments for the scenario:
, 't_min_assign': [2, 3, 6] # minimum assignment time for tasks
, 'initial_unbalance': (-3, 3) # imbalance between rut and ret at the initial status
, 't_required_hours': (10, 50, 100) # triangular distribution params for flight hours of each mission
, 't_num_resource': (1, 6) # range on the number of resources for each task
, 't_duration': (6, 12) # range on the duration of a task
, 'perc_in_maint': 0.07 # percentage of resources in maintenance at the start of the horizon
, 'perc_add_capacity': 0.1 # probability of having an added capacity to mission
}
}
|
class Solution:
def XXX(self, digits: List[int]) -> List[int]:
ans = collections.deque()
c = 1
for n in reversed(digits):
c, t = divmod(n + c, 10)
ans.appendleft(t)
if c > 0:
ans.appendleft(c)
return list(ans)
|
n = int(input())
values = [int(input()) for _ in range(n)]
for value in values:
msg = 'ODD '
if value % 2 == 0:
msg = 'EVEN '
if value < 0:
msg = msg + 'NEGATIVE'
elif value > 0:
msg = msg + 'POSITIVE'
else:
msg = 'NULL'
print(msg)
|
#
# PySNMP MIB module DOCS-SUBMGT3-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/DOCS-SUBMGT3-MIB
# Produced by pysmi-0.3.4 at Wed May 1 11:45:55 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, ConstraintsUnion, ConstraintsIntersection, SingleValueConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "ValueRangeConstraint", "ConstraintsUnion", "ConstraintsIntersection", "SingleValueConstraint")
DocsL2vpnIfList, clabProjDocsis = mibBuilder.importSymbols("CLAB-DEF-MIB", "DocsL2vpnIfList", "clabProjDocsis")
docsIf3CmtsCmRegStatusId, docsIf3CmtsCmRegStatusEntry = mibBuilder.importSymbols("DOCS-IF3-MIB", "docsIf3CmtsCmRegStatusId", "docsIf3CmtsCmRegStatusEntry")
InetPortNumber, InetAddressPrefixLength, InetAddressType, InetAddress = mibBuilder.importSymbols("INET-ADDRESS-MIB", "InetPortNumber", "InetAddressPrefixLength", "InetAddressType", "InetAddress")
SnmpTagList, = mibBuilder.importSymbols("SNMP-TARGET-MIB", "SnmpTagList")
ObjectGroup, NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "ObjectGroup", "NotificationGroup", "ModuleCompliance")
Counter32, ObjectIdentity, Gauge32, NotificationType, Counter64, Bits, MibScalar, MibTable, MibTableRow, MibTableColumn, ModuleIdentity, MibIdentifier, TimeTicks, Unsigned32, iso, Integer32, IpAddress = mibBuilder.importSymbols("SNMPv2-SMI", "Counter32", "ObjectIdentity", "Gauge32", "NotificationType", "Counter64", "Bits", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "ModuleIdentity", "MibIdentifier", "TimeTicks", "Unsigned32", "iso", "Integer32", "IpAddress")
MacAddress, TimeStamp, TextualConvention, DisplayString, TruthValue, RowStatus = mibBuilder.importSymbols("SNMPv2-TC", "MacAddress", "TimeStamp", "TextualConvention", "DisplayString", "TruthValue", "RowStatus")
docsSubmgt3Mib = ModuleIdentity((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10))
docsSubmgt3Mib.setRevisions(('2015-06-03 00:00', '2014-04-03 00:00', '2011-06-23 00:00', '2010-06-11 00:00', '2009-01-21 00:00', '2007-05-18 00:00', '2006-12-07 17:00',))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts: docsSubmgt3Mib.setRevisionsDescriptions(('Revised Version includes ECN OSSIv3.0-N-15.1311-2', 'Revised Version includes ECNs OSSIv3.0-N-13.1125-2 and published as I23', 'Revised Version includes ECNs OSSIv3.0-N-11.0996-1 and published as I15', 'Revised Version includes ECNs OSSIv3.0-N-10.0906-2 OSSIv3.0-N-10.0921-4 and published as I12', 'Revised Version includes ECNs OSSIv3.0-N-08.0651-3 OSSIv3.0-N-08.0700-4 and published as I08', 'Revised Version includes ECNs OSSIv3.0-N-07.0445-3 OSSIv3.0-N-07.0444-3 OSSIv3.0-N-07.0441-4 and published as I03', 'Initial version, published as part of the CableLabs OSSIv3.0 specification CM-SP-OSSIv3.0-I01-061207 Copyright 1999-2009 Cable Television Laboratories, Inc. All rights reserved.',))
if mibBuilder.loadTexts: docsSubmgt3Mib.setLastUpdated('201506030000Z')
if mibBuilder.loadTexts: docsSubmgt3Mib.setOrganization('Cable Television Laboratories, Inc.')
if mibBuilder.loadTexts: docsSubmgt3Mib.setContactInfo(' Postal: Cable Television Laboratories, Inc. 858 Coal Creek Circle Louisville, Colorado 80027-9750 U.S.A. Phone: +1 303-661-9100 Fax: +1 303-661-9199 E-mail: mibs@cablelabs.com')
if mibBuilder.loadTexts: docsSubmgt3Mib.setDescription('This MIB module contains the management objects for the CMTS control of the IP4 and IPv6 traffic with origin and destination to CMs and/or CPEs behind the CM.')
docsSubmgt3MibObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1))
docsSubmgt3Base = MibIdentifier((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1))
docsSubmgt3BaseCpeMaxIpv4Def = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1023)).clone(16)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3BaseCpeMaxIpv4Def.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3BaseCpeMaxIpv4Def.setDescription("This attribute represents the maximum number of IPv4 Addresses allowed for the CM's CPEs if not signaled in the registration process.")
docsSubmgt3BaseCpeMaxIpv6AddressesDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 2), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1023)).clone(16)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3BaseCpeMaxIpv6AddressesDef.setStatus('deprecated')
if mibBuilder.loadTexts: docsSubmgt3BaseCpeMaxIpv6AddressesDef.setDescription("This attribute represents the maximum number of IPv6 prefixes or addresses allowed for the CM's CPEs if not signaled in the registration process. All IPv6 addresses, including Link-Local and any address with a scope greater than 1 are counted against the docsSubmgt3BaseCpeMaxIpv6AddressesDef.")
docsSubmgt3BaseCpeMaxIpv6PrefixesDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 15), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1023)).clone(3)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3BaseCpeMaxIpv6PrefixesDef.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3BaseCpeMaxIpv6PrefixesDef.setDescription("This attribute represents the maximum number of IPv6 IA_PDs (delegated prefixes) allowed for the CM's CPEs if not signaled during the registration process. IPv6 IA_PDs are counted against the CpeMaxIpv6PrefixesDef. This contrasts with the CpeMaxIPv4AddressesDef addresses, rather than IPv4 subnets, allowed by default per CM. Because this attribute only counts IA_PDs against the default, IA_NA addresses and Link-Local addresses are not counted against this default limit.")
docsSubmgt3BaseCpeActiveDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 3), TruthValue().clone('false')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3BaseCpeActiveDef.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3BaseCpeActiveDef.setDescription('This attribute represents the default value for enabling Subscriber Management filters and controls in the CM if the parameter is not signaled in the DOCSIS Registration process.')
docsSubmgt3BaseCpeLearnableDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 4), TruthValue().clone('true')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3BaseCpeLearnableDef.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3BaseCpeLearnableDef.setDescription('This attribute represents the default value for enabling the CPE learning process for the CM if the parameter is not signaled in the DOCSIS Registration process.')
docsSubmgt3BaseSubFilterDownDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 5), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3BaseSubFilterDownDef.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3BaseSubFilterDownDef.setDescription('This attribute represents the default value for the subscriber (CPE) downstream filter group for the CM if the parameter is not signaled in the DOCSIS Registration process.')
docsSubmgt3BaseSubFilterUpDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 6), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3BaseSubFilterUpDef.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3BaseSubFilterUpDef.setDescription('This attribute represents the default value for the subscriber (CPE) upstream filter group for the CM if the parameter is not signaled in the DOCSIS Registration process.')
docsSubmgt3BaseCmFilterDownDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 7), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3BaseCmFilterDownDef.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3BaseCmFilterDownDef.setDescription('This attribute represents the default value for the CM stack downstream filter group applying to the CM if the parameter is not signaled in the DOCSIS Registration process.')
docsSubmgt3BaseCmFilterUpDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 8), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3BaseCmFilterUpDef.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3BaseCmFilterUpDef.setDescription('This attribute represents the default value for the CM stack upstream filter group applying to the CM if the parameter is not signaled in the DOCSIS Registration process.')
docsSubmgt3BasePsFilterDownDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 9), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3BasePsFilterDownDef.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3BasePsFilterDownDef.setDescription('This attribute represents the default value for the PS or eRouter downstream filter group for the CM if the parameter is not signaled in the DOCSIS Registration process.')
docsSubmgt3BasePsFilterUpDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 10), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3BasePsFilterUpDef.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3BasePsFilterUpDef.setDescription('This attribute represents the default value for the PS or eRouter upstream filter group for the CM if the parameter is not signaled in the DOCSIS Registration process.')
docsSubmgt3BaseMtaFilterDownDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 11), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3BaseMtaFilterDownDef.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3BaseMtaFilterDownDef.setDescription('This attribute represents the default value for the MTA, DVA, SG, or TEA downstream filter group for the CM if the parameter is not signaled in the DOCSIS Registration process.')
docsSubmgt3BaseMtaFilterUpDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 12), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3BaseMtaFilterUpDef.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3BaseMtaFilterUpDef.setDescription('This attribute represents the default value for the MTA, DVA, SG, or TEA upstream filter group for the CM if the parameter is not signaled in the DOCSIS Registration process.')
docsSubmgt3BaseStbFilterDownDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 13), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3BaseStbFilterDownDef.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3BaseStbFilterDownDef.setDescription('This attribute represents the default value for the STB or CableCARD downstream filter group for the CM if the parameter is not signaled in the DOCSIS Registration process.')
docsSubmgt3BaseStbFilterUpDef = MibScalar((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 1, 14), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3BaseStbFilterUpDef.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3BaseStbFilterUpDef.setDescription('This attribute represents the default value for the STB or CableCARD upstream filter group for the CM if the parameter is not signaled in the DOCSIS Registration process.')
docsSubmgt3CpeCtrlTable = MibTable((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 2), )
if mibBuilder.loadTexts: docsSubmgt3CpeCtrlTable.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3CpeCtrlTable.setDescription('This object maintains per-CM traffic policies enforced by the CMTS. The CMTS acquires the CM traffic policies through the CM registration process, or in the absence of some or all of those parameters, from the Base object. The CM information and controls are meaningful and used by the CMTS, but only after the CM is operational.')
docsSubmgt3CpeCtrlEntry = MibTableRow((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 2, 1), )
docsIf3CmtsCmRegStatusEntry.registerAugmentions(("DOCS-SUBMGT3-MIB", "docsSubmgt3CpeCtrlEntry"))
docsSubmgt3CpeCtrlEntry.setIndexNames(*docsIf3CmtsCmRegStatusEntry.getIndexNames())
if mibBuilder.loadTexts: docsSubmgt3CpeCtrlEntry.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3CpeCtrlEntry.setDescription('The conceptual row of docsSubmgt3CpeCtrlTable. The CMTS does not persist the instances of the CpeCtrl object across reinitializations.')
docsSubmgt3CpeCtrlMaxCpeIpv4 = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 2, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1023))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3CpeCtrlMaxCpeIpv4.setReference('DOCSIS 3.0 MAC and Upper Layer Protocols Interface Specification CM-SP-MULPIv3.0-I26-150305, Subscriber Management TLVs section in the Common Radio Frequency Interface Encodings Annex.')
if mibBuilder.loadTexts: docsSubmgt3CpeCtrlMaxCpeIpv4.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3CpeCtrlMaxCpeIpv4.setDescription("This attribute represents the number of simultaneous IP v4 addresses permitted for CPE connected to the CM. When the MaxCpeIpv4 attribute is set to zero (0), all Ipv4 CPE traffic from the CM is dropped. The CMTS configures this attribute with whichever of the 'Subscriber Management CPE IPv4 List' or 'Subscriber Management Control-Max_CpeIPv4' signaled encodings is greater, or in the absence of all of those provisioning parameters, with the CpeMaxIp v4Def from the Base object. This limit applies to learned and DOCSIS-provisioned entries but not to entries added through some administrative process at the CMTS. Note that this attribute is only meaningful when the Active attribute of the CM is set to 'true'.")
docsSubmgt3CpeCtrlMaxCpeIpv6Addresses = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 2, 1, 2), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1023))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3CpeCtrlMaxCpeIpv6Addresses.setReference('DOCSIS 3.0 MAC and Upper Layer Protocols Interface Specification CM-SP-MULPIv3.0-I26-150305, Subscriber Management TLVs section in the Common Radio Frequency Interface Encodings Annex.')
if mibBuilder.loadTexts: docsSubmgt3CpeCtrlMaxCpeIpv6Addresses.setStatus('deprecated')
if mibBuilder.loadTexts: docsSubmgt3CpeCtrlMaxCpeIpv6Addresses.setDescription("This attribute represents the maximum number of simultaneous IPv6 prefixes and addresses that are permitted for CPEs connected to the CM. When the MaxCpeIpv6Prefix is set to zero (0), all IPv6 CPE traffic from the CM is dropped. The CMTS configures this attribute with whichever of the ('Subscriber Management CPE IPv6 List (TLV 67)' plus 'Subscriber Management CPE IPv6 Prefix List (TLV 61)') or ('Subscriber Management Control Max CPE IPv6 Addresses (TLV 63)') signaled encodings is greater, or in the absence of all of those provisioning parameters, with the MaxIpv6AddressDef from the Base object. This limit applies to learned and DOCSIS-provisioned entries but not to entries added through some administrative process at the CMTS. Note that this attribute is only meaningful when the Active attribute of the CM is set to 'true'. All IPv6 addresses, including Link-Local and any address with a scope greater than 1 are counted against the docsSubmgt3CpeCtrlMaxCpeIpv6Addresses.")
docsSubmgt3CpeCtrlMaxCpeIpv6Prefixes = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 2, 1, 7), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1023))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3CpeCtrlMaxCpeIpv6Prefixes.setReference('DOCSIS 3.0 MAC and Upper Layer Protocols Interface Specification CM-SP-MULPIv3.0-I04-070518, Subscriber Management TLVs section in the Common Radio Frequency Interface Encodings Annex.')
if mibBuilder.loadTexts: docsSubmgt3CpeCtrlMaxCpeIpv6Prefixes.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3CpeCtrlMaxCpeIpv6Prefixes.setDescription("This attribute represents the maximum number of simultaneous IPv6 IA_PDs (delegated prefixes) that are permitted for CPEs connected to the CM.When the MaxCpeIpv6Prefixes is set to zero (0), all IPv6 CPE traffic from the CM is dropped. The CMTS configures this attribute with whichever of the ('Subscriber Management CPE IPv6 List (TLV 67)' plus 'Subscriber Management CPE IPv6 Prefix List (TLV 61) ') or ('Subscriber Management Control Max CPE IPv6 Addresses (TLV 63)') signaled encodings is greater, or in the absence of all of those provisioning parameters, with the MaxIpv6PrefixesDef from the Base object. This limit applies to learned and DOCSIS-provisioned entries but not to entries added through some administrative process at the CMTS. Note that this attribute is only meaningful when the Active attribute of the CM is set to 'true'. IPv6 IA_PDs s are counted against the CpeCtrlMaxCpeIpv6Prefixes in order to limit the number of simultaneous IA_PDs permitted for the CMs CPEs.")
docsSubmgt3CpeCtrlActive = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 2, 1, 3), TruthValue()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3CpeCtrlActive.setReference('DOCSIS 3.0 MAC and Upper Layer Protocols Interface Specification CM-SP-MULPIv3.0-I26-150305, Subscriber Management Control section in the Common Radio Frequency Interface Encodings Annex.')
if mibBuilder.loadTexts: docsSubmgt3CpeCtrlActive.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3CpeCtrlActive.setDescription("This attribute controls the application of subscriber management to this CM. If this is set to 'true', CMTS-based CPE control is active, and all the actions required by the various filter policies and controls apply at the CMTS. If this is set to false, no subscriber management filtering is done at the CMTS (but other filters may apply). If not set through DOCSIS provisioning, this object defaults to the value of the Active attribute of the Base object.")
docsSubmgt3CpeCtrlLearnable = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 2, 1, 4), TruthValue()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3CpeCtrlLearnable.setReference('DOCSIS 3.0 MAC and Upper Layer Protocols Interface Specification CM-SP-MULPIv3.0-I26-150305, Subscriber Management Control section in the Common Radio Frequency Interface Encodings Annex.')
if mibBuilder.loadTexts: docsSubmgt3CpeCtrlLearnable.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3CpeCtrlLearnable.setDescription("This attribute controls whether the CMTS may learn (and pass traffic for) CPE IP addresses associated with a CM. If this is set to 'true', the CMTS may learn up to the CM MaxCpeIp value less any DOCSIS-provisioned entries related to this CM. The nature of the learning mechanism is not specified here. If not set through DOCSIS provisioning, this object defaults to the value of the CpeLearnableDef attribute from the Base object. Note that this attribute is only meaningful if docsSubMgtCpeControlActive is 'true' to enforce a limit in the number of CPEs learned. CPE learning is always performed for the CMTS for security reasons.")
docsSubmgt3CpeCtrlReset = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 2, 1, 5), TruthValue()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3CpeCtrlReset.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3CpeCtrlReset.setDescription("If set to 'true', this attribute commands the CMTS to delete the instances denoted as 'learned' addresses in the CpeIp object. This attribute always returns false on read.")
docsSubmgt3CpeCtrlLastReset = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 2, 1, 6), TimeStamp()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3CpeCtrlLastReset.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3CpeCtrlLastReset.setDescription("This attribute represents the system Up Time of the last set to 'true' of the Reset attribute of this instance. Zero if never reset.")
docsSubmgt3CpeIpTable = MibTable((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 3), )
if mibBuilder.loadTexts: docsSubmgt3CpeIpTable.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3CpeIpTable.setDescription("This object defines the list of IP Addresses behind the CM known by the CMTS. If the Active attribute of the CpeCtrl object associated with a CM is set to 'true' and the CMTS receives an IP packet from a CM that contains a source IP address that does not match one of the CPE IP addresses associated with this CM, one of two things occurs. If the number of CPE IPs is less than the MaxCpeIp of the CpeCtrl object for that CM, the source IP address is added to this object and the packet is forwarded; otherwise, the packet is dropped.")
docsSubmgt3CpeIpEntry = MibTableRow((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 3, 1), ).setIndexNames((0, "DOCS-IF3-MIB", "docsIf3CmtsCmRegStatusId"), (0, "DOCS-SUBMGT3-MIB", "docsSubmgt3CpeIpId"))
if mibBuilder.loadTexts: docsSubmgt3CpeIpEntry.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3CpeIpEntry.setDescription('The conceptual row of docsSubmgt3CpeIpTable.')
docsSubmgt3CpeIpId = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 3, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 1023)))
if mibBuilder.loadTexts: docsSubmgt3CpeIpId.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3CpeIpId.setDescription("This attribute represents a unique identifier for a CPE IP of the CM. An instance of this attribute exists for each CPE provisioned in the 'Subscriber Management CPE IPv4 Table' or 'Subscriber Management CPE IPv6 Table' encodings. An entry is created either through the included CPE IP addresses in the provisioning object, or CPEs learned from traffic sourced from the CM.")
docsSubmgt3CpeIpAddrType = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 3, 1, 2), InetAddressType()).setMaxAccess("readonly")
if mibBuilder.loadTexts: docsSubmgt3CpeIpAddrType.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3CpeIpAddrType.setDescription('The type of Internet address of the Addr attribute, such as IPv4 or IPv6.')
docsSubmgt3CpeIpAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 3, 1, 3), InetAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: docsSubmgt3CpeIpAddr.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3CpeIpAddr.setDescription('This attribute represents the IP address either set from provisioning or learned via address gleaning of the DHCP exchange or some other means.')
docsSubmgt3CpeIpAddrPrefixLen = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 3, 1, 4), InetAddressPrefixLength()).setMaxAccess("readonly")
if mibBuilder.loadTexts: docsSubmgt3CpeIpAddrPrefixLen.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3CpeIpAddrPrefixLen.setDescription('This attribute represents the prefix length associated with the IP prefix (IPv4 or IPv6) that is either set via provisioning or learned via address gleaning of the DHCP exchange or some other means. For IPv4 CPE addresses, this attribute generally reports the value 32 (32 bits) to indicate a unicast IPv4 address. For IPv6 CPE addresses, this attribute represents either a discrete IPv6 IA_NA unicast address (a value of 128 bits, equal to /128 prefix length) or a delegated prefix (IA_PD) and its associated length (such as 56 bits, equal to /56 prefix length).')
docsSubmgt3CpeIpLearned = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 3, 1, 5), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: docsSubmgt3CpeIpLearned.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3CpeIpLearned.setDescription("This attribute is set to 'true' when the IP address was learned from IP packets sent upstream rather than via the CM provisioning process.")
docsSubmgt3CpeIpType = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 3, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9))).clone(namedValues=NamedValues(("cpe", 1), ("ps", 2), ("mta", 3), ("stb", 4), ("tea", 5), ("erouter", 6), ("dva", 7), ("sg", 8), ("card", 9)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: docsSubmgt3CpeIpType.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3CpeIpType.setDescription("This attribute represents the type of CPE based on the following classification below: 'cpe' Regular CPE clients. 'ps' CableHome Portal Server (PS) 'mta' PacketCable Multimedia Terminal Adapter (MTA) 'stb' Digital Set-top Box (STB). 'tea' T1 Emulation adapter (TEA) 'erouter' Embedded Router (eRouter) 'dva' Digital Voice Adapter (DVA) 'sg' Security Gateway (SG) 'card' CableCARD")
docsSubmgt3GrpTable = MibTable((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4), )
if mibBuilder.loadTexts: docsSubmgt3GrpTable.setReference('DOCSIS 3.0 MAC and Upper Layer Protocols Interface Specification CM-SP-MULPIv3.0-I26-150305, Subscriber Management TLVs section in the Common Radio Frequency Interface Encodings Annex.')
if mibBuilder.loadTexts: docsSubmgt3GrpTable.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3GrpTable.setDescription('This object defines the set of downstream and upstream filter groups that the CMTS applies to traffic associated with that CM.')
docsSubmgt3GrpEntry = MibTableRow((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4, 1), )
docsIf3CmtsCmRegStatusEntry.registerAugmentions(("DOCS-SUBMGT3-MIB", "docsSubmgt3GrpEntry"))
docsSubmgt3GrpEntry.setIndexNames(*docsIf3CmtsCmRegStatusEntry.getIndexNames())
if mibBuilder.loadTexts: docsSubmgt3GrpEntry.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3GrpEntry.setDescription('The conceptual row of docsSubmgt3GrpTable. The CMTS does not persist the instances of the Grp object across reinitializations.')
docsSubMgt3GrpUdcGroupIds = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4, 1, 1), SnmpTagList().clone(hexValue="")).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubMgt3GrpUdcGroupIds.setStatus('current')
if mibBuilder.loadTexts: docsSubMgt3GrpUdcGroupIds.setDescription("This attribute represents the filter group(s) associated with the CM signaled 'Upstream Drop Classifier Group ID' encodings during the registration process. UDC Group IDs are integer values and this attribute reports them as decimal numbers that are space-separated. The zero-length string indicates that the CM didn't signal UDC Group IDs. This attribute provides two functions: - Communicate the CM the configured UDC Group ID(s), irrespective of the CM being provisioned to filter upstream traffic based on IP Filters or UDCs. - Optionally, and with regards to the CMTS, if the value of the attribute UdcSentInReqRsp is 'true', indicates that the filtering rules associated with the Subscriber Management Group ID(s) will be sent during registration to the CM. It is vendor specific whether the CMTS updates individual CM UDCs after registration when rules are changed in the Grp object.")
docsSubMgt3GrpUdcSentInRegRsp = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4, 1, 2), TruthValue().clone('false')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubMgt3GrpUdcSentInRegRsp.setStatus('current')
if mibBuilder.loadTexts: docsSubMgt3GrpUdcSentInRegRsp.setDescription("This attribute represents the CMTS upstream filtering status for this CM. The value 'true' indicates that the CMTS has sent UDCs to the CM during registration process. In order for a CMTS to send UDCs to a CM, the CMTS MAC Domain needed to be enabled via the MAC Domain attribute SendUdcRulesEnabled and the CM had indicated the UDC capability support during the registration process. The value 'false' indicates that the CMTS was not enabled to sent UDCs to the CMs in the MAC Domain, or the CM does not advertised UDC support in its capabilities encodings, or both. Since the CMTS capability to sent UDCs to CMs during the registration process is optional, the CMTS is not required to implement the value 'true'.")
docsSubmgt3GrpSubFilterDs = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4, 1, 3), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3GrpSubFilterDs.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3GrpSubFilterDs.setDescription("This attribute represents the filter group applied to traffic destined for subscriber's CPE attached to the referenced CM (attached to CM CPE interfaces). This value corresponds to the 'Subscriber Downstream Group' value of the 'Subscriber Management Filter Groups' encoding signaled during the CM registration or in its absence, to the SubFilterDownDef attribute of the Base object. The value zero or a filter group ID not configured in the CMTS means no filtering is applied to traffic destined to hosts attached to this CM.")
docsSubmgt3GrpSubFilterUs = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4, 1, 4), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3GrpSubFilterUs.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3GrpSubFilterUs.setDescription("This attribute represents the filter group applied to traffic originating from subscriber's CPE attached to the referenced CM (attached to CM CPE interfaces). This value corresponds to the 'Subscriber Upstream Group' value of the 'Subscriber Management Filter Groups' encoding signaled during the CM registration or in its absence, to the SubFilterUpDef attribute of the Base object. The value zero or a filter group ID not configured in the CMTS means no filtering is applied to traffic originating from hosts attached to this CM.")
docsSubmgt3GrpCmFilterDs = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4, 1, 5), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3GrpCmFilterDs.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3GrpCmFilterDs.setDescription("This attribute represents the filter group applied to traffic destined for the CM itself. This value corresponds to the 'CM Downstream Group' value of the 'Subscriber Management Filter Groups' encoding signaled during the CM registration or in its absence, to the CmFilterDownDef attribute of the Base object. The value zero or a filter group ID not configured in the CMTS means no filtering is applied to traffic destined to the CM.")
docsSubmgt3GrpCmFilterUs = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4, 1, 6), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3GrpCmFilterUs.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3GrpCmFilterUs.setDescription("This attribute represents the filter group applied to traffic originating from the CM itself. This value corresponds to the 'Subscriber Upstream Group' value of the 'Subscriber Management Filter Groups' encoding signaled during the CM registration or in its absence, to the SubFilterUpDef attribute of the Base object. The value zero or a filter group ID not configured in the CMTS means no filtering is applied to traffic originating from this CM.")
docsSubmgt3GrpPsFilterDs = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4, 1, 7), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3GrpPsFilterDs.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3GrpPsFilterDs.setDescription("This attribute represents the filter group applied to traffic destined to the Embedded CableHome Portal Services Element or the Embedded Router on the referenced CM. This value corresponds to the 'PS Downstream Group' value of the 'Subscriber Management Filter Groups' encoding signaled during the CM registration or in its absence, to the SubFilterDownDef attribute of the Base object. The value zero or a filter group ID not configured in the CMTS means no filtering is applied to traffic destined to the Embedded CableHome Portal Services Element or Embedded Router on this CM.")
docsSubmgt3GrpPsFilterUs = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4, 1, 8), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3GrpPsFilterUs.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3GrpPsFilterUs.setDescription("This attribute represents the filter group applied to traffic originating from the Embedded CableHome Portal Services Element or Embedded Router on the referenced CM. This value corresponds to the 'PS Upstream Group' value of the 'Subscriber Management Filter Groups' encoding signaled during the CM registration or in its absence, to the SubFilterUpDef attribute of the Base object. The value zero or a filter group ID not configured in the CMTS means no filtering is applied to traffic originating from the Embedded CableHome Portal Services Element or Embedded Router on this CM.")
docsSubmgt3GrpMtaFilterDs = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4, 1, 9), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3GrpMtaFilterDs.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3GrpMtaFilterDs.setDescription("This attribute represents the filter group applied to traffic destined to the Embedded PacketCable Multimedia Terminal Adapter, Embedded PacketCable 2.0 Digital Voice Adaptor, Embedded PacketCable Security, Monitoring, and Automation Gateway, or Embedded T1/E1 TDM Emulation Adapter on the referenced CM. This value corresponds to the 'MTA Downstream Group' value of the 'Subscriber Management Filter Groups' encoding signaled during the CM registration or in its absence, to the SubFilterDownDef attribute of the Base object. The value zero or a filter group ID not configured in the CMTS means no filtering is applied to traffic destined to the Embedded PacketCable Multimedia Terminal Adapter, Embedded PacketCable 2.0 Digital Voice Adaptor, Embedded PacketCable Security, Monitoring, and Automation Gateway, or Embedded T1/E1 TDM Emulation Adapter on this CM.")
docsSubmgt3GrpMtaFilterUs = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4, 1, 10), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3GrpMtaFilterUs.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3GrpMtaFilterUs.setDescription("This attribute represents the filter group applied to traffic originating from the Embedded PacketCable Multimedia Terminal Adapter, Embedded PacketCable 2.0 Digital Voice Adaptor, Embedded PacketCable Security, Monitoring, and Automation Gateway, or Embedded T1/E1 TDM Emulation Adapter on the referenced CM. This value corresponds to the 'MTA Upstream Group' value of the 'Subscriber Management Filter Groups' encoding signaled during the CM registration or in its absence, to the SubFilterUpDef attribute of the Base object. The value zero or a filter group ID not configured in the CMTS means no filtering is applied to traffic originating from the Embedded PacketCable Multimedia Terminal Adapter, Embedded PacketCable 2.0 Digital Voice Adaptor, Embedded PacketCable Security, Monitoring, and Automation Gateway, or Embedded T1/E1 TDM Emulation Adapter on this CM.")
docsSubmgt3GrpStbFilterDs = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4, 1, 11), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3GrpStbFilterDs.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3GrpStbFilterDs.setDescription("This attribute represents the filter group applied to traffic destined for the Embedded Set-Top Box or CableCARD on the referenced CM. This value corresponds to the 'STB Downstream Group' value of the 'Subscriber Management Filter Groups' encoding signaled during the CM registration or in its absence, to the SubFilterDownDef attribute of the Base object. The value zero or a filter group ID not configured in the CMTS means no filtering is applied to traffic destined to the Embedded Set-Top Box or CableCARD on this CM.")
docsSubmgt3GrpStbFilterUs = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 4, 1, 12), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1024))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: docsSubmgt3GrpStbFilterUs.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3GrpStbFilterUs.setDescription("This attribute represents the filter group applied to traffic originating from the Embedded Set-Top Box or CableCARD on the referenced CM. This value corresponds to the 'STB Upstream Group' value of the 'Subscriber Management Filter Groups' encoding signaled during the CM registration or in its absence, to the SubFilterUpDef attribute of the Base object. The value zero or a filter group ID not configured in the CMTS means no filtering is applied to traffic originating from the Embedded Set-Top Box or CableCARD on this CM.")
docsSubmgt3FilterGrpTable = MibTable((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5), )
if mibBuilder.loadTexts: docsSubmgt3FilterGrpTable.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpTable.setDescription("This object describes a set of filter or classifier criteria. Classifiers are assigned by group to the individual CMs. That assignment is made via the 'Subscriber Management TLVs' encodings sent upstream from the CM to the CMTS during registration or in their absence, default values configured in the CMTS. A Filter Group ID (GrpId) is a set of rules that correspond to the expansion of a UDC Group ID into UDC individual classification rules. The Filter Group Ids are generated whenever the CMTS is configured to send UDCs during the CM registration process. Implementation of L2 classification criteria is optional for the CMTS; LLC/MAC upstream and downstream filter criteria can be ignored during the packet matching process.")
docsSubmgt3FilterGrpEntry = MibTableRow((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1), ).setIndexNames((0, "DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpGrpId"), (0, "DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpRuleId"))
if mibBuilder.loadTexts: docsSubmgt3FilterGrpEntry.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpEntry.setDescription('The conceptual row of docsSubmgt3FilterGrpTable. The CMTS persists all instances of the FilterGrp object across reinitializations.')
docsSubmgt3FilterGrpGrpId = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 1024)))
if mibBuilder.loadTexts: docsSubmgt3FilterGrpGrpId.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpGrpId.setDescription('This key is an identifier for a set of classifiers known as a filter group. Each CM may be associated with several filter groups for its upstream and downstream traffic, one group per target end point on the CM as defined in the Grp object. Typically, many CMs share a common set of filter groups.')
docsSubmgt3FilterGrpRuleId = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 2), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 65535)))
if mibBuilder.loadTexts: docsSubmgt3FilterGrpRuleId.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpRuleId.setDescription('This key represents an ordered classifier identifier within the group. Filters are applied in order if the Priority attribute is not supported.')
docsSubmgt3FilterGrpAction = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("permit", 1), ("deny", 2))).clone('permit')).setMaxAccess("readcreate")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpAction.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpAction.setDescription("This attribute represents the action to take upon this filter matching. 'permit' means to stop the classification matching and accept the packet for further processing. 'deny' means to drop the packet.")
docsSubmgt3FilterGrpPriority = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 4), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpPriority.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpPriority.setDescription('This attribute defines the order in which classifiers are compared against packets. The higher the value, the higher the priority.')
docsSubmgt3FilterGrpIpTosLow = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 5), OctetString().subtype(subtypeSpec=ValueSizeConstraint(1, 1)).setFixedLength(1).clone(hexValue="00")).setMaxAccess("readcreate")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpIpTosLow.setReference('DOCSIS 3.0 MAC and Upper Layer Protocols Interface Specification CM-SP-MULPIv3.0-I26-150305. RFC 791. RFC 3260. RFC 3168.')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpIpTosLow.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpIpTosLow.setDescription('This attribute represents the low value of a range of ToS (Type of Service) octet values. This object is defined as an 8-bit octet as per the DOCSIS Specification for packet classification. The IP ToS octet, as originally defined in RFC 791, has been superseded by the 6-bit Differentiated Services Field (DSField, RFC 3260) and the 2-bit Explicit Congestion Notification Field (ECN field, RFC 3168).')
docsSubmgt3FilterGrpIpTosHigh = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 6), OctetString().subtype(subtypeSpec=ValueSizeConstraint(1, 1)).setFixedLength(1).clone(hexValue="00")).setMaxAccess("readcreate")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpIpTosHigh.setReference('DOCSIS 3.0 MAC and Upper Layer Protocols Interface Specification CM-SP-MULPIv3.0-I26-150305. RFC 791. RFC 3260. RFC 3168.')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpIpTosHigh.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpIpTosHigh.setDescription('This attribute represents the high value of a range of ToS octet values. This object is defined as an 8-bit octet as per the DOCSIS Specification for packet classification. The IP ToS octet, as originally defined in RFC 791, has been superseded by the 6-bit Differentiated Services Field (DSField, RFC 3260) and the 2-bit Explicit Congestion Notification Field (ECN field, RFC 3168).')
docsSubmgt3FilterGrpIpTosMask = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 7), OctetString().subtype(subtypeSpec=ValueSizeConstraint(1, 1)).setFixedLength(1).clone(hexValue="00")).setMaxAccess("readcreate")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpIpTosMask.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpIpTosMask.setDescription('This attribute represents the mask value that is bitwise ANDed with ToS octet in an IP packet, and the resulting value is used for range checking of IpTosLow and IpTosHigh.')
docsSubmgt3FilterGrpIpProtocol = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 8), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 257)).clone(256)).setMaxAccess("readcreate")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpIpProtocol.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpIpProtocol.setDescription('This attribute represents the value of the IP Protocol field required for IP packets to match this rule. The value 256 matches traffic with any IP Protocol value. The value 257 by convention matches both TCP and UDP.')
docsSubmgt3FilterGrpInetAddrType = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 9), InetAddressType().clone('unknown')).setMaxAccess("readcreate")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpInetAddrType.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpInetAddrType.setDescription('The type of the Internet address for InetSrcAddr, InetSrcMask, InetDestAddr, and InetDestMask.')
docsSubmgt3FilterGrpInetSrcAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 10), InetAddress().clone(hexValue="")).setMaxAccess("readcreate")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpInetSrcAddr.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpInetSrcAddr.setDescription("This attribute specifies the value of the IP Source Address required for packets to match this rule. An IP packet matches the rule when the packet's IP Source Address bitwise ANDed with the InetSrcMask value equals the InetSrcAddr value. The address type of this object is specified by the InetAddressType attribute.")
docsSubmgt3FilterGrpInetSrcMask = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 11), InetAddress().clone(hexValue="")).setMaxAccess("readcreate")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpInetSrcMask.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpInetSrcMask.setDescription("This attribute represents which bits of a packet's IP Source Address are compared to match this rule. An IP packet matches the rule when the packet's IP Source Address bitwise ANDed with the InetSrcMask value equals the InetSrcAddr value. The address type of this object is specified by InetAddrType.")
docsSubmgt3FilterGrpInetDestAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 12), InetAddress().clone(hexValue="")).setMaxAccess("readcreate")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpInetDestAddr.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpInetDestAddr.setDescription("This attribute specifies the value of the IP Destination Address required for packets to match this rule. An IP packet matches the rule when the packet's IP Destination Address bitwise ANDed with the InetSrcMask value equals the InetDestAddr value. The address type of this object is specified by the InetAddrType attribute.")
docsSubmgt3FilterGrpInetDestMask = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 13), InetAddress().clone(hexValue="")).setMaxAccess("readcreate")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpInetDestMask.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpInetDestMask.setDescription("This attribute represents which bits of a packet's IP Destination Address are compared to match this rule. An IP packet matches the rule when the packet's IP Destination Address bitwise ANDed with the InetDestMask value equals the InetDestAddr value. The address type of this object is specified by InetAddrType.")
docsSubmgt3FilterGrpSrcPortStart = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 14), InetPortNumber()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpSrcPortStart.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpSrcPortStart.setDescription('This attribute represents the low-end inclusive range of TCP/UDP source port numbers to which a packet is compared. This attribute is irrelevant for non-TCP/UDP IP packets.')
docsSubmgt3FilterGrpSrcPortEnd = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 15), InetPortNumber().clone(65535)).setMaxAccess("readcreate")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpSrcPortEnd.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpSrcPortEnd.setDescription('This attribute represents the high-end inclusive range of TCP/UDP source port numbers to which a packet is compared. This attribute is irrelevant for non-TCP/UDP IP packets.')
docsSubmgt3FilterGrpDestPortStart = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 16), InetPortNumber()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpDestPortStart.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpDestPortStart.setDescription('This attribute represents the low-end inclusive range of TCP/UDP destination port numbers to which a packet is compared. This attribute is irrelevant for non-TCP/UDP IP packets.')
docsSubmgt3FilterGrpDestPortEnd = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 17), InetPortNumber().clone(65535)).setMaxAccess("readcreate")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpDestPortEnd.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpDestPortEnd.setDescription('This attribute represents the high-end inclusive range of TCP/UDP destination port numbers to which a packet is compared. This attribute is irrelevant for non-TCP/UDP IP packets.')
docsSubmgt3FilterGrpDestMacAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 18), MacAddress().clone(hexValue="000000000000")).setMaxAccess("readcreate")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpDestMacAddr.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpDestMacAddr.setDescription('This attribute represents the criteria to match against an Ethernet packet MAC address bitwise ANDed with DestMacMask.')
docsSubmgt3FilterGrpDestMacMask = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 19), MacAddress().clone(hexValue="000000000000")).setMaxAccess("readcreate")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpDestMacMask.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpDestMacMask.setDescription('An Ethernet packet matches an entry when its destination MAC address bitwise ANDed with the DestMacMask attribute equals the value of the DestMacAddr attribute.')
docsSubmgt3FilterGrpSrcMacAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 20), MacAddress().clone(hexValue="FFFFFFFFFFFF")).setMaxAccess("readcreate")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpSrcMacAddr.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpSrcMacAddr.setDescription('This attribute represents the value to match against an Ethernet packet source MAC address.')
docsSubmgt3FilterGrpEnetProtocolType = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 21), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2, 3, 4))).clone(namedValues=NamedValues(("none", 0), ("ethertype", 1), ("dsap", 2), ("mac", 3), ("all", 4))).clone('none')).setMaxAccess("readcreate")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpEnetProtocolType.setReference('RFC1042 Sub-Network Access Protocol (SNAP) encapsulation formats.')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpEnetProtocolType.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpEnetProtocolType.setDescription("This attribute indicates the format of the layer 3 protocol ID in the Ethernet packet. A value of 'none' means that the rule does not use the layer 3 protocol type as a matching criteria. A value of 'ethertype' means that the rule applies only to frames that contain an EtherType value. EtherType values are contained in packets using the DEC-Intel-Xerox (DIX) encapsulation or the RFC 1042 Sub-Network Access Protocol (SNAP) encapsulation formats. A value of 'dsap' means that the rule applies only to frames using the IEEE802.3 encapsulation format with a Destination Service Access Point (DSAP) other than 0xAA (which is reserved for SNAP). A value of 'mac' means that the rule applies only to MAC management messages for MAC management messages. A value of 'all' means that the rule matches all Ethernet packets. If the Ethernet frame contains an 802.1P/Q Tag header (i.e., EtherType 0x8100), this attribute applies to the embedded EtherType field within the 802.1p/Q header. The value 'mac' is only used for passing UDCs to CMs during Registration. The CMTS ignores filter rules that include the value of this attribute set to 'mac' for CMTS enforced upstream and downstream subscriber management filter group rules.")
docsSubmgt3FilterGrpEnetProtocol = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 22), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpEnetProtocol.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpEnetProtocol.setDescription("This attribute represents the Ethernet protocol type to be matched against the packets. For EnetProtocolType set to 'none', this attribute is ignored when considering whether a packet matches the current rule. If the attribute EnetProtocolType is 'ethertype', this attribute gives the 16-bit value of the EtherType that the packet must match in order to match the rule. If the attribute EnetProtocolType is 'dsap', the lower 8 bits of this attribute's value must match the DSAP octet of the packet in order to match the rule. If the Ethernet frame contains an 802.1p/Q Tag header (i.e., EtherType 0x8100), this attribute applies to the embedded EtherType field within the 802.1p/Q header.")
docsSubmgt3FilterGrpUserPriLow = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 23), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 7))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpUserPriLow.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpUserPriLow.setDescription('This attribute applies only to Ethernet frames using the 802.1p/Q tag header (indicated with EtherType 0x8100). Such frames include a 16-bit Tag that contains a 3-bit Priority field and a 12-bit VLAN number. Tagged Ethernet packets must have a 3-bit Priority field within the range of PriLow to PriHigh in order to match this rule.')
docsSubmgt3FilterGrpUserPriHigh = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 24), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 7)).clone(7)).setMaxAccess("readcreate")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpUserPriHigh.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpUserPriHigh.setDescription('This attribute applies only to Ethernet frames using the 802.1p/Q tag header (indicated with EtherType 0x8100). Such frames include a 16-bit Tag that contains a 3-bit Priority field and a 12-bit VLAN number. Tagged Ethernet packets must have a 3-bit Priority field within the range of PriLow to PriHigh in order to match this rule.')
docsSubmgt3FilterGrpVlanId = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 25), Unsigned32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(0, 0), ValueRangeConstraint(1, 4094), ))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpVlanId.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpVlanId.setDescription('This attribute applies only to Ethernet frames using the 802.1p/Q tag header. Tagged packets must have a VLAN Identifier that matches the value in order to match the rule.')
docsSubmgt3FilterGrpClassPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 26), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpClassPkts.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpClassPkts.setDescription('This attribute counts the number of packets that have been classified (matched) using this rule entry. This includes all packets delivered to a Service Flow maximum rate policing function, whether or not that function drops the packets. Discontinuities in the value of this counter can occur at re-initialization of the managed system, and at other times as indicated by the value of ifCounterDiscontinuityTime for the CM MAC Domain interface.')
docsSubmgt3FilterGrpFlowLabel = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 27), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 1048575))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpFlowLabel.setReference('DOCSIS 3.0 MAC and Upper Layer Protocols Interface Specification CM-SP-MULPIv3.0-I26-150305, IPv6 Flow Label section in the Common Radio Frequency Interface Encodings Annex.')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpFlowLabel.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpFlowLabel.setDescription('This attribute represents the Flow Label field in the IPv6 header to be matched by the classifier. The value zero indicates that the Flow Label is not specified as part of the classifier and is not matched against packets.')
docsSubmgt3FilterGrpCmInterfaceMask = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 28), DocsL2vpnIfList()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpCmInterfaceMask.setReference('DOCSIS 3.0 MAC and Upper Layer Protocols Interface Specification CM-SP-MULPIv3.0-I26-150305, CM Interface Mask (CMIM) Encoding section in the Common Radio Frequency Interface Encodings Annex.')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpCmInterfaceMask.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpCmInterfaceMask.setDescription('This attribute represents a bit-mask of the CM in-bound interfaces to which this classifier applies. This attribute only applies to upstream Drop Classifiers being sent to CMs during the registration process.')
docsSubmgt3FilterGrpRowStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 1, 5, 1, 29), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: docsSubmgt3FilterGrpRowStatus.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3FilterGrpRowStatus.setDescription('The conceptual row status of this object.')
docsSubmgt3MibConformance = MibIdentifier((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 2))
docsSubmgt3MibCompliances = MibIdentifier((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 2, 1))
docsSubmgt3MibGroups = MibIdentifier((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 2, 2))
docsSubmgt3Compliance = ModuleCompliance((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 2, 1, 1)).setObjects(("DOCS-SUBMGT3-MIB", "docsSubmgt3Group"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
docsSubmgt3Compliance = docsSubmgt3Compliance.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3Compliance.setDescription('The compliance statement for devices that implement the DOCSIS Subscriber Management 3 MIB.')
docsSubmgt3Group = ObjectGroup((1, 3, 6, 1, 4, 1, 4491, 2, 1, 10, 2, 2, 1)).setObjects(("DOCS-SUBMGT3-MIB", "docsSubmgt3BaseCpeMaxIpv4Def"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3BaseCpeMaxIpv6PrefixesDef"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3BaseCpeActiveDef"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3BaseCpeLearnableDef"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3BaseSubFilterDownDef"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3BaseSubFilterUpDef"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3BaseCmFilterDownDef"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3BaseCmFilterUpDef"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3BasePsFilterDownDef"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3BasePsFilterUpDef"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3BaseMtaFilterDownDef"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3BaseMtaFilterUpDef"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3BaseStbFilterDownDef"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3BaseStbFilterUpDef"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3CpeCtrlMaxCpeIpv4"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3CpeCtrlMaxCpeIpv6Prefixes"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3CpeCtrlActive"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3CpeCtrlLearnable"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3CpeCtrlReset"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3CpeCtrlLastReset"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3CpeIpAddrType"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3CpeIpAddr"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3CpeIpAddrPrefixLen"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3CpeIpLearned"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3CpeIpType"), ("DOCS-SUBMGT3-MIB", "docsSubMgt3GrpUdcGroupIds"), ("DOCS-SUBMGT3-MIB", "docsSubMgt3GrpUdcSentInRegRsp"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3GrpSubFilterDs"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3GrpSubFilterUs"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3GrpCmFilterDs"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3GrpCmFilterUs"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3GrpPsFilterDs"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3GrpPsFilterUs"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3GrpMtaFilterDs"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3GrpMtaFilterUs"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3GrpStbFilterDs"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3GrpStbFilterUs"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpAction"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpPriority"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpIpTosLow"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpIpTosHigh"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpIpTosMask"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpIpProtocol"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpInetAddrType"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpInetSrcAddr"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpInetSrcMask"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpInetDestAddr"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpInetDestMask"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpSrcPortStart"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpSrcPortEnd"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpDestPortStart"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpDestPortEnd"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpDestMacAddr"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpDestMacMask"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpSrcMacAddr"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpEnetProtocolType"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpEnetProtocol"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpUserPriLow"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpUserPriHigh"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpVlanId"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpClassPkts"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpFlowLabel"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpCmInterfaceMask"), ("DOCS-SUBMGT3-MIB", "docsSubmgt3FilterGrpRowStatus"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
docsSubmgt3Group = docsSubmgt3Group.setStatus('current')
if mibBuilder.loadTexts: docsSubmgt3Group.setDescription('Group of objects implemented in the CMTS.')
mibBuilder.exportSymbols("DOCS-SUBMGT3-MIB", docsSubmgt3CpeCtrlMaxCpeIpv6Addresses=docsSubmgt3CpeCtrlMaxCpeIpv6Addresses, docsSubmgt3BaseSubFilterDownDef=docsSubmgt3BaseSubFilterDownDef, docsSubmgt3CpeIpLearned=docsSubmgt3CpeIpLearned, docsSubmgt3FilterGrpTable=docsSubmgt3FilterGrpTable, docsSubmgt3FilterGrpGrpId=docsSubmgt3FilterGrpGrpId, docsSubmgt3BaseCpeActiveDef=docsSubmgt3BaseCpeActiveDef, docsSubmgt3FilterGrpPriority=docsSubmgt3FilterGrpPriority, docsSubmgt3MibGroups=docsSubmgt3MibGroups, docsSubmgt3FilterGrpDestMacAddr=docsSubmgt3FilterGrpDestMacAddr, docsSubmgt3BaseCpeMaxIpv4Def=docsSubmgt3BaseCpeMaxIpv4Def, docsSubmgt3GrpCmFilterUs=docsSubmgt3GrpCmFilterUs, PYSNMP_MODULE_ID=docsSubmgt3Mib, docsSubmgt3BaseCmFilterUpDef=docsSubmgt3BaseCmFilterUpDef, docsSubMgt3GrpUdcSentInRegRsp=docsSubMgt3GrpUdcSentInRegRsp, docsSubmgt3BaseMtaFilterUpDef=docsSubmgt3BaseMtaFilterUpDef, docsSubmgt3GrpPsFilterDs=docsSubmgt3GrpPsFilterDs, docsSubmgt3Base=docsSubmgt3Base, docsSubmgt3FilterGrpCmInterfaceMask=docsSubmgt3FilterGrpCmInterfaceMask, docsSubmgt3GrpCmFilterDs=docsSubmgt3GrpCmFilterDs, docsSubmgt3FilterGrpEntry=docsSubmgt3FilterGrpEntry, docsSubmgt3FilterGrpSrcMacAddr=docsSubmgt3FilterGrpSrcMacAddr, docsSubmgt3MibObjects=docsSubmgt3MibObjects, docsSubmgt3CpeIpId=docsSubmgt3CpeIpId, docsSubmgt3CpeCtrlTable=docsSubmgt3CpeCtrlTable, docsSubmgt3CpeIpAddr=docsSubmgt3CpeIpAddr, docsSubmgt3CpeCtrlEntry=docsSubmgt3CpeCtrlEntry, docsSubmgt3BaseStbFilterDownDef=docsSubmgt3BaseStbFilterDownDef, docsSubmgt3GrpPsFilterUs=docsSubmgt3GrpPsFilterUs, docsSubmgt3FilterGrpAction=docsSubmgt3FilterGrpAction, docsSubmgt3BaseCpeMaxIpv6PrefixesDef=docsSubmgt3BaseCpeMaxIpv6PrefixesDef, docsSubmgt3FilterGrpInetDestAddr=docsSubmgt3FilterGrpInetDestAddr, docsSubmgt3CpeCtrlMaxCpeIpv4=docsSubmgt3CpeCtrlMaxCpeIpv4, docsSubmgt3CpeCtrlReset=docsSubmgt3CpeCtrlReset, docsSubmgt3BaseCpeMaxIpv6AddressesDef=docsSubmgt3BaseCpeMaxIpv6AddressesDef, docsSubmgt3CpeIpTable=docsSubmgt3CpeIpTable, docsSubmgt3FilterGrpClassPkts=docsSubmgt3FilterGrpClassPkts, docsSubmgt3FilterGrpIpTosMask=docsSubmgt3FilterGrpIpTosMask, docsSubmgt3Compliance=docsSubmgt3Compliance, docsSubmgt3FilterGrpDestPortEnd=docsSubmgt3FilterGrpDestPortEnd, docsSubmgt3BaseStbFilterUpDef=docsSubmgt3BaseStbFilterUpDef, docsSubmgt3CpeIpType=docsSubmgt3CpeIpType, docsSubmgt3GrpEntry=docsSubmgt3GrpEntry, docsSubmgt3FilterGrpDestMacMask=docsSubmgt3FilterGrpDestMacMask, docsSubmgt3FilterGrpInetDestMask=docsSubmgt3FilterGrpInetDestMask, docsSubmgt3FilterGrpEnetProtocolType=docsSubmgt3FilterGrpEnetProtocolType, docsSubmgt3FilterGrpIpTosHigh=docsSubmgt3FilterGrpIpTosHigh, docsSubmgt3BasePsFilterUpDef=docsSubmgt3BasePsFilterUpDef, docsSubmgt3FilterGrpIpProtocol=docsSubmgt3FilterGrpIpProtocol, docsSubmgt3CpeCtrlMaxCpeIpv6Prefixes=docsSubmgt3CpeCtrlMaxCpeIpv6Prefixes, docsSubmgt3MibConformance=docsSubmgt3MibConformance, docsSubmgt3CpeIpAddrPrefixLen=docsSubmgt3CpeIpAddrPrefixLen, docsSubmgt3FilterGrpFlowLabel=docsSubmgt3FilterGrpFlowLabel, docsSubmgt3FilterGrpSrcPortEnd=docsSubmgt3FilterGrpSrcPortEnd, docsSubmgt3FilterGrpInetAddrType=docsSubmgt3FilterGrpInetAddrType, docsSubmgt3FilterGrpUserPriLow=docsSubmgt3FilterGrpUserPriLow, docsSubmgt3CpeCtrlActive=docsSubmgt3CpeCtrlActive, docsSubmgt3GrpSubFilterDs=docsSubmgt3GrpSubFilterDs, docsSubmgt3FilterGrpEnetProtocol=docsSubmgt3FilterGrpEnetProtocol, docsSubmgt3FilterGrpVlanId=docsSubmgt3FilterGrpVlanId, docsSubmgt3FilterGrpDestPortStart=docsSubmgt3FilterGrpDestPortStart, docsSubmgt3CpeCtrlLastReset=docsSubmgt3CpeCtrlLastReset, docsSubmgt3BasePsFilterDownDef=docsSubmgt3BasePsFilterDownDef, docsSubmgt3Mib=docsSubmgt3Mib, docsSubmgt3GrpSubFilterUs=docsSubmgt3GrpSubFilterUs, docsSubmgt3Group=docsSubmgt3Group, docsSubmgt3FilterGrpRuleId=docsSubmgt3FilterGrpRuleId, docsSubmgt3FilterGrpInetSrcMask=docsSubmgt3FilterGrpInetSrcMask, docsSubmgt3BaseCpeLearnableDef=docsSubmgt3BaseCpeLearnableDef, docsSubmgt3GrpMtaFilterUs=docsSubmgt3GrpMtaFilterUs, docsSubmgt3BaseSubFilterUpDef=docsSubmgt3BaseSubFilterUpDef, docsSubmgt3GrpMtaFilterDs=docsSubmgt3GrpMtaFilterDs, docsSubmgt3FilterGrpSrcPortStart=docsSubmgt3FilterGrpSrcPortStart, docsSubmgt3GrpTable=docsSubmgt3GrpTable, docsSubmgt3FilterGrpUserPriHigh=docsSubmgt3FilterGrpUserPriHigh, docsSubmgt3FilterGrpIpTosLow=docsSubmgt3FilterGrpIpTosLow, docsSubmgt3FilterGrpRowStatus=docsSubmgt3FilterGrpRowStatus, docsSubmgt3BaseMtaFilterDownDef=docsSubmgt3BaseMtaFilterDownDef, docsSubmgt3CpeIpEntry=docsSubmgt3CpeIpEntry, docsSubmgt3CpeCtrlLearnable=docsSubmgt3CpeCtrlLearnable, docsSubmgt3FilterGrpInetSrcAddr=docsSubmgt3FilterGrpInetSrcAddr, docsSubmgt3BaseCmFilterDownDef=docsSubmgt3BaseCmFilterDownDef, docsSubMgt3GrpUdcGroupIds=docsSubMgt3GrpUdcGroupIds, docsSubmgt3CpeIpAddrType=docsSubmgt3CpeIpAddrType, docsSubmgt3GrpStbFilterUs=docsSubmgt3GrpStbFilterUs, docsSubmgt3MibCompliances=docsSubmgt3MibCompliances, docsSubmgt3GrpStbFilterDs=docsSubmgt3GrpStbFilterDs)
|
def ficha(jog='<Fulaninho>', gol=0):
print(f'O jogador {jog} fez {gol} gol(s) no campeonato.')
print('-' * 30)
n = str(input('Nome do jogador: '))
g = str(input('Números de Gols: '))
if g.isnumeric():
g = int(g)
else:
g = 0
if n.strip() == '':
ficha(gol=g)
else:
ficha(n, g)
|
# -*- coding: utf-8 -*-
def __setitem__(self, key, value):
"""Called to implement assignment to self[key]."""
if isinstance(value, tuple):
self._statements.__setitem__(key, value[0])
if len(tuple) >= 1:
self._comments.__setitem__(key, value[1])
else:
self._comments.__setitem__(key, None)
else:
self._statements.__setitem__(key, value)
self._comments.__setitem__(key, None)
|
# coding=utf8
lang = [
{
"lang" : "ru",
"content" :
{
"help" :
u"""Бот для автоматического репоста постов с ВэКа вам в телегу. Для начала вам необходимо подписаться на паблики, посты с которых вы хотите видеть в боте.
🤔Комманды бота🤔
Юзай:
/subscribe [айди-группы или ссылка на группу в ВК] - чтобы включить мониторинг указанного паблика
/getGroups - чтобы получить список всех прослушиваеммых пабликов
/unsubscribe - чтобы выключить мониторинг паблика
/getPosts [(опционально) количество постов] [(опционально) сдвиг постов] - чтобы получить последние посты паблика
/help - Чтобы вывести эту хелпу
/settings - Меню настроек
Обозначения в постах:
📌 - Пост закрепленный в группе
💰 - Пост помечен как рекламный
➡️ - Пост переслан с другой страницы (группы или юзера)
❤️ - Количество лайков
💬 - Количество коментариев
📢️ - Количество репостов
Используй хэш-теги заголовках поста для быстрой навигации между группами.
На данный момент поддерживается: изображения, гифки, документы, видео. Все остальное, возможно, когда-то...
Изменить формат поста (влючить отображение времени поста, строки с лайками и тд.) можно в меню настроек.
По всем вопросам, предложениям и багтреку: @coestaris """,
"forwaded_from" : u"\n\n_Переслано от _\"*{}*\"",
"ori_post_text" : u"_, текст оригинального поста:_\n\n{}",
"name_format" : u"(польз.) {} {}",
"err_unknown_id" : u"️⛔️Группа с данным ID не числится в ваших группах",
"err_empty_public_url" : u"️⛔️Пожалуйста, укажите URL-аддрес паблика или его ID",
"err_wrong_public_url" : u"️⛔️Введенный URL имел неправильный формат, пожалуйста введите корректый аддрес/номер.",
"err_already_exists_url" : u"⛔️Вы уже мониторите данную группу",
"err_cant_find_url" : u"⛔️Не было найдено указанной группы в ВК.",
"err_not_allowed" : u"️️⛔️Вас (UserID: {}) нету в списке тех, кому разрешено юзать эту функцию.",
"succ_added_new_url" : u"✅Группа \"*{}*\" (ID: #g{}) была добавлена в список ваших групп!",
"succ_removed_url" : u"✅Группа \"*{}*\" (ID: #g{}) была удалена со списка ваших групп",
"select_group" : u"Выберите, от какой группы вы желаете отписаться",
"group_list_is_empty" : u"Cписок групп пуст",
"group_list" : u"Вы мониторите следующие группы:",
"get_posts" : u"Выберите, откуда желаете получить {} постов",
"getting_posts" : u"Отсылаю {} постов с *{}* (ID: #g{})",
"get_groups" : u"- *{}* (ID: #g{})\n",
"post_video" : u"""\nВидео: "*{}*"\[_{}_] - [ссылка]({})""",
"server_error" : u"Произошла серверная ошибка😢😢",
"post_header" : u"By \"*{}*\"",
"post_header_id" : u" | (ID: #g{})",
"post_header_likes" : u"\n❤️ {} | 💬 {} | 📢 {}",
"post_header_at" : u"\nat _{}_",
"post_header_status" : u"\n{}{}{}",
"post_header_link" : u" | ([ссылка](https://vk.com/wall-{}_{}))",
"group_text_reply" : [
u"И зачем ты мне прислал эту группу?",
u"Для постов юзай /getPosts",
u"Хз что мне делать с этой группой"
],
"text_reply" : [
u"И что мне с этим делать?",
u"Юзай /help чтобы получить список команд",
u"Без понятия что ты от меня хочешь",
u"Прикольно, но что дальше?",
u"Как хорошо, что я не Игорь",
u"Говорят, поступать на ФИВТ нужно, только если тебе слишком сложно на СФ"
],
"menu": u"Выберите кнопку из списка",
"menu_monitoring" : u"{} Мониторинг",
"menu_lang" : u"Выбрать язык",
"menu_postformat" : u"Формат поста",
"menu_close" : u"Закрыть",
"menu_lang_ru" : u"{} Русский🇷🇺",
"menu_lang_en" : u"{} English🇺🇸",
"menu_lang_back" : "Назад",
"menu_format_id" : u"{}Отображать ID",
"menu_format_date" : u"{}Отображать дату",
"menu_format_likes" : u"{}Отображать строку с лайками",
"menu_format_status" : u"{}Отображать статусную строку",
"menu_format_link" : u"{}Отображать ссылку на пост в ВК",
"menu_format_autor" : u"{}Отображать автора поста",
"menu_format_close" : "Назад",
"dropped" : u"База данных сброшена!",
"drop_confirm" : u"Вы дейтсвительно желаете сбросить всю БДху?",
"drop_drop" : u"Сбросить",
"drop_cancel" : u"Отмена",
"dump_text" : u"Вот тебе текстовый дамп, любимый...\n```json{{\n{}```",
"dump_file" : u"Вот тебе файловый дамп, любимый...",
"unhandled_error": u"*Непредусмотренная ошибка!*\n\n_{}_\n\n{}{}",
"unhandled_error_package": u"\n\nДоступные данные: _{}_",
"stat":
u"*CPU*: {}_%_\n\n*Память*:\n_Общее_: {}\n_Доступно_: {}\n_Свободно_: {}\n_Использовано_: {} ({}%)\n\n*Ап-тайм сервера*: {}\n\n*Ап-тайм бота*: {}" +
u"\n\n*Отправлeно постов*: {}\n*Постов обработано*: {}\n*Повторных запросов постов*: {}" +
u"\n\n*Вложения постов*: {}\n\n*VK Запросы*: {}\n\n*Telegram запросы*: {}",
"stat_list_empty" : u"Список пуст",
"stat_list_item" : u" - *{}* : _{}_"
}
}
]
months_dict_ru = [u"месяц", u"месяца", u"месяцев"]
weeks_dict_ru = [u"неделя", u"недели", u"недель"]
days_dict_ru = [u"день", u"дня", u"дней"]
hours_dict_ru = [u"час", u"часа", u"часов"]
minutes_dict_ru = [u"минута", u"минуты", u"минут"]
seconds_dict_ru = [u"секунда", u"секунды", u"секунд"]
dict_en = [ "month", "week", "day", "hour", "minute", "second" ]
def date_make_rus(value, dict, i):
ld = value % 10
if(ld == 1): return dict[0]
elif(ld == 2 or ld == 3 or ld == 4): return dict[1]
else: return dict[2]
def date_make_en(value, dict, i):
if(value == 1): return dict[i]
else: return dict[i] + u's'
def make_date(value, dict, lang, i):
if(lang == 'ru'): return date_make_rus(value, dict, i)
elif(lang == 'en'): return date_make_en(value, dict, i)
else: pass
intervals = (
( 1, { 'ru' : months_dict_ru, 'en' : dict_en }, 2419200), # 60 * 60 * 24 * 7 * 4
( 2, { 'ru' : weeks_dict_ru, 'en' : dict_en }, 604800), # 60 * 60 * 24 * 7
( 3, { 'ru' : days_dict_ru, 'en' : dict_en }, 86400), # 60 * 60 * 24
( 4, { 'ru' : hours_dict_ru, 'en' : dict_en }, 3600), # 60 * 60
( 5, { 'ru' : minutes_dict_ru, 'en' : dict_en }, 60), # 60
( 6, { 'ru' : seconds_dict_ru, 'en' : dict_en }, 1), # 1
)
def display_time(seconds, lang, granularity=2):
result = []
for index, dict, count in intervals:
value = seconds // count
if value:
seconds -= value * count
result.append(u"{0:.0f} {1}".format(value, make_date(value, dict[lang], lang, index)))
return u', '.join(result[:granularity])
def getLang(l):
global lang
for a in lang:
if(a["lang"] == l):
return a["content"]
raise ValueError("Unknown language")
|
def number_of_tweets_per_day(df):
"""This function takes a pandas dataframe of twitter data and returns the number of tweets
per day on a given day.
Example
----------
Input: twitter_df
Tweets Date
@BongaDlulane Please send an email to mediades... 2019-11-29 12:50:54
@saucy_mamiie Pls log a call on 0860037566 2019-11-29 12:46:53
@BongaDlulane Query escalated to media desk. 2019-11-29 12:46:10
#ESKOMFREESTATE #MEDIASTATEMENT : ESKOM SUSPEN 2019-11-29 12:17:43
Output:
Date Tweets
2019-04-5 18
2019-08-20 70
2019-11-29 56
"""
d = df['Date'].str.split(' ', expand = True) # splits the date datapoints into date & time
df['Date'] = d.iloc[:,0] # takes the date coloumn
c = df.groupby('Date').count() # this line groups the data by the date and counts the number of tweets in a given day
return c
|
'''
Kattis - beatspread
Very easy math problem.
Time: O(1), Space: O(1)
'''
num_tc = int(input())
for i in range(num_tc):
a, b = map(int, input().split())
l = (a+b)//2
s = (a-b)//2
if (a+b)%2 == 1 or s < 0:
print(f"impossible")
else:
print(f"{l} {s}")
|
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