content stringlengths 7 1.05M | fixed_cases stringlengths 1 1.28M |
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#!/usr/bin/env python
# -*- coding: UTF-8 -*-
# This file is part of the jetson_stats package (https://github.com/rbonghi/jetson_stats or http://rnext.it).
# Copyright (c) 2020 Raffaello Bonghi.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
# Shell information
# os.environ['SHELL']
def jetpack_missing(repository, jetson, version):
l4t = jetson.board.info["L4T"]
# Title
title = "Jetpack missing [L4T {l4t}]".format(l4t=l4t)
# Template
template = "jetpack-missing.md"
# Body
body = "Please update jetson-stats with new jetpack\n\n"
body += "**Linux for Tegra**\n"
body += " - L4T: " + l4t + "\n\n"
body += "**Jetson-Stats**\n"
body += " - Version: " + version + "\n"
# Make url
url = make_issue(repository, title, body=body, labels="missing", template=template)
# message shell
return hyperlink(url, title)
def board_missing(repository, jetson, version):
board = jetson.board.hardware["BOARD"]
# Title
title = "Board missing {board}".format(board=board)
# Template
template = "board-missing.md"
# Body
body = "Please update jetson-stats with this board\n\n"
body += "**Board**\n"
body += " - Board(s): " + board + "\n"
body += " - Boardis: " + jetson.board.hardware["BOARDIDS"] + "\n"
body += " - SOC: " + jetson.board.hardware["SOC"] + "\n"
body += " - ID: " + jetson.board.hardware["CHIP_ID"] + "\n"
body += " - Code Name: " + jetson.board.hardware["CODENAME"] + "\n\n"
body += "**Jetpack**\n"
body += " - Jetpack: " + jetson.board.info["jetpack"] + "\n"
body += " - L4T: " + jetson.board.info["L4T"] + "\n\n"
body += "**Jetson-Stats**\n"
body += " - version: " + version + "\n"
# Make url
url = make_issue(repository, title, body=body, labels="missing", template=template)
# message shell
return hyperlink(url, title)
def hyperlink(url, text, hyperlink=True):
# Reference:
# 1. http://www.lihaoyi.com/post/BuildyourownCommandLinewithANSIescapecodes.html
# 2. https://stackoverflow.com/questions/40419276/python-how-to-print-text-to-console-as-hyperlink
# 3. https://purpleidea.com/blog/2018/06/29/hyperlinks-in-gnome-terminal/
# 4. https://gist.github.com/egmontkob/eb114294efbcd5adb1944c9f3cb5feda
# 5. https://stackoverflow.com/questions/44078888/clickable-html-links-in-python-3-6-shell
# Check type of shell
if hyperlink:
return u"\u001b]8;;{url}\u001b\\{text}\u001b]8;;\u001b\\ (CTRL + Click to open this issue)".format(url=url, text=text)
else:
return "{text} ({url})".format(url=url, text=text)
def make_issue(repository, title, body="", labels="", template=""):
# Reference
# https://help.github.com/en/enterprise/2.17/user/github/managing-your-work-on-github/about-automation-for-issues-and-pull-requests-with-query-parameters
# https://krypted.com/utilities/html-encoding-reference/
title = title.replace(" ", "+").replace("[", "%5B").replace("]", "%5D")
url = "{repository}/new?title={title}".format(repository=repository, title=title)
if labels:
url += "&labels=" + labels
if template:
url += "&template=" + template
if body:
body = body.replace(" ", "+").replace("#", "%23").replace("\n", "%0A").replace("*", "%2A")
url += "&body=" + body
return url
# EOF
| def jetpack_missing(repository, jetson, version):
l4t = jetson.board.info['L4T']
title = 'Jetpack missing [L4T {l4t}]'.format(l4t=l4t)
template = 'jetpack-missing.md'
body = 'Please update jetson-stats with new jetpack\n\n'
body += '**Linux for Tegra**\n'
body += ' - L4T: ' + l4t + '\n\n'
body += '**Jetson-Stats**\n'
body += ' - Version: ' + version + '\n'
url = make_issue(repository, title, body=body, labels='missing', template=template)
return hyperlink(url, title)
def board_missing(repository, jetson, version):
board = jetson.board.hardware['BOARD']
title = 'Board missing {board}'.format(board=board)
template = 'board-missing.md'
body = 'Please update jetson-stats with this board\n\n'
body += '**Board**\n'
body += ' - Board(s): ' + board + '\n'
body += ' - Boardis: ' + jetson.board.hardware['BOARDIDS'] + '\n'
body += ' - SOC: ' + jetson.board.hardware['SOC'] + '\n'
body += ' - ID: ' + jetson.board.hardware['CHIP_ID'] + '\n'
body += ' - Code Name: ' + jetson.board.hardware['CODENAME'] + '\n\n'
body += '**Jetpack**\n'
body += ' - Jetpack: ' + jetson.board.info['jetpack'] + '\n'
body += ' - L4T: ' + jetson.board.info['L4T'] + '\n\n'
body += '**Jetson-Stats**\n'
body += ' - version: ' + version + '\n'
url = make_issue(repository, title, body=body, labels='missing', template=template)
return hyperlink(url, title)
def hyperlink(url, text, hyperlink=True):
if hyperlink:
return u'\x1b]8;;{url}\x1b\\{text}\x1b]8;;\x1b\\ (CTRL + Click to open this issue)'.format(url=url, text=text)
else:
return '{text} ({url})'.format(url=url, text=text)
def make_issue(repository, title, body='', labels='', template=''):
title = title.replace(' ', '+').replace('[', '%5B').replace(']', '%5D')
url = '{repository}/new?title={title}'.format(repository=repository, title=title)
if labels:
url += '&labels=' + labels
if template:
url += '&template=' + template
if body:
body = body.replace(' ', '+').replace('#', '%23').replace('\n', '%0A').replace('*', '%2A')
url += '&body=' + body
return url |
#python code
#list of numbers
list=[1,3,14,5,19,66,2,53,105,10,24,27,6,5,85,34,56,3,2,35,78,2,3,98,43,2,1,56,8,43,22,12]
print("\n \nThe list of numbers to be fitered through:\n" + str(list) + "\n\n")
#get the user tp input minimum value
specifiedNumber = int(input("Please specify a minimum number: "))
#create a new list to store all new values greater than the specified number
filteredList=[]
#run a for loop to get all numbers greater than the specified number
for x in list:
if x > specifiedNumber:
filteredList.append(x)
#print the numbers
print ("The numbers greater than \"" + str(specifiedNumber) + "\" are: " + str(filteredList))
| list = [1, 3, 14, 5, 19, 66, 2, 53, 105, 10, 24, 27, 6, 5, 85, 34, 56, 3, 2, 35, 78, 2, 3, 98, 43, 2, 1, 56, 8, 43, 22, 12]
print('\n \nThe list of numbers to be fitered through:\n' + str(list) + '\n\n')
specified_number = int(input('Please specify a minimum number: '))
filtered_list = []
for x in list:
if x > specifiedNumber:
filteredList.append(x)
print('The numbers greater than "' + str(specifiedNumber) + '" are: ' + str(filteredList)) |
class Song(object):
def __init__(self, lyrics):
#super(self, lyrics).__init__()
self.lyrics = lyrics
def sing_me_a_song():
for line in self.lyrics:
print(line)
hap = Song(["Happy birthday to you",
"I don't want to get sued",
"So I'll stop right there"
])
bulls_on_parade = Song([
"They rally around the family",
"With pockets full of shells"
])
hap.sing_me_a_song()
bulls_on_parade.sing_me_a_song()
| class Song(object):
def __init__(self, lyrics):
self.lyrics = lyrics
def sing_me_a_song():
for line in self.lyrics:
print(line)
hap = song(['Happy birthday to you', "I don't want to get sued", "So I'll stop right there"])
bulls_on_parade = song(['They rally around the family', 'With pockets full of shells'])
hap.sing_me_a_song()
bulls_on_parade.sing_me_a_song() |
def set_figure_for_paper(figure):
figure.xaxis.axis_label_text_font_size = "24pt"
figure.yaxis.axis_label_text_font_size = "24pt"
figure.legend.label_text_font_size = "22pt"
figure.xaxis.major_label_text_font_size = "18pt"
figure.yaxis.major_label_text_font_size = "18pt"
| def set_figure_for_paper(figure):
figure.xaxis.axis_label_text_font_size = '24pt'
figure.yaxis.axis_label_text_font_size = '24pt'
figure.legend.label_text_font_size = '22pt'
figure.xaxis.major_label_text_font_size = '18pt'
figure.yaxis.major_label_text_font_size = '18pt' |
MQTT_SUB_OPT_NO_LOCAL = 0x04
MQTT_SUB_OPT_RETAIN_AS_PUBLISHED = 0x08
MQTT_SUB_OPT_SEND_RETAIN_ALWAYS = 0x00
MQTT_SUB_OPT_SEND_RETAIN_NEW = 0x10
MQTT_SUB_OPT_SEND_RETAIN_NEVER = 0x20
| mqtt_sub_opt_no_local = 4
mqtt_sub_opt_retain_as_published = 8
mqtt_sub_opt_send_retain_always = 0
mqtt_sub_opt_send_retain_new = 16
mqtt_sub_opt_send_retain_never = 32 |
# buildifier: disable=module-docstring
# buildifier: disable=provider-params
ProtoInfo = provider()
def proto_library(**args):
pass
| proto_info = provider()
def proto_library(**args):
pass |
'''
+-----+ +------+
+--------+ B +---------+ D +---------+
| +-+---+ X+--+---+ |
| | XX | |
+--+--+ | XX | +-+--+
| A | | XX | | F |
+--+--+ | XX | +----+
| | XXX |
| +--+XXX +--+-+
+-------+ C +-----------+ E |
+----+ +----+
'''
graph = {
"A" : ["B", "C"],
"B" : ["A", "C", "D"],
"C" : ["A", "B", "D", "E"],
"D": ["B", "C", "E", "F"],
"E" : ["C", "D"],
"F" : ["D"],
}
def DFS(graps, s):
stack = []
stack.append(s)
seen = set()
seen.add(s)
parent = {s : None}
while (len(stack) >0):
vertex = stack.pop()
nodes = graph[vertex]
for w in nodes:
if w not in seen:
stack.append(w)
seen.add(w)
parent[w] = vertex
print(vertex)
return parent
# DFS(graph, "A")
parent = DFS(graph, "E")
print("-"*20)
for key in parent:
print(key, parent[key])
v= "B"
while v != None:
print(v)
v= parent[v] | """
+-----+ +------+
+--------+ B +---------+ D +---------+
| +-+---+ X+--+---+ |
| | XX | |
+--+--+ | XX | +-+--+
| A | | XX | | F |
+--+--+ | XX | +----+
| | XXX |
| +--+XXX +--+-+
+-------+ C +-----------+ E |
+----+ +----+
"""
graph = {'A': ['B', 'C'], 'B': ['A', 'C', 'D'], 'C': ['A', 'B', 'D', 'E'], 'D': ['B', 'C', 'E', 'F'], 'E': ['C', 'D'], 'F': ['D']}
def dfs(graps, s):
stack = []
stack.append(s)
seen = set()
seen.add(s)
parent = {s: None}
while len(stack) > 0:
vertex = stack.pop()
nodes = graph[vertex]
for w in nodes:
if w not in seen:
stack.append(w)
seen.add(w)
parent[w] = vertex
print(vertex)
return parent
parent = dfs(graph, 'E')
print('-' * 20)
for key in parent:
print(key, parent[key])
v = 'B'
while v != None:
print(v)
v = parent[v] |
sol_space = {}
def foo(team_i, start, end):
global teams
global p_win
global sol_space
assert team_i >= start and team_i < end
num_teams = end - start
if num_teams == 1:
return 1
if (team_i, start, end) in sol_space:
return sol_space[(team_i, start, end)]
psum = 0
# team_i becomes champion of eitehr start:start+x or start+x:end
if team_i >= start + num_teams // 2:
result = foo(team_i, start + num_teams // 2, end)
for i in range(start, start + num_teams // 2):
psum += foo(i, start, start + num_teams // 2) * p_win[team_i][i] * 0.01
result *= psum
else :
result = foo(team_i, start, start + num_teams // 2)
for i in range(start + num_teams // 2, end):
psum += foo(i, start + num_teams // 2, end) * p_win[team_i][i] * 0.01
result *= psum
sol_space[(team_i, start, end)] = result
return result
teams = []
for i in range(16):
teams.append(str(input()))
p_win = []
for i in range(16):
p = list(map(int, input().split()))
p_win.append(p)
p_all = [foo(i, 0, 16) for i in range(16)]
for team, p in zip(teams, p_all):
print("{0:10} p={1:.2f}%".format(str(team), p*100))
| sol_space = {}
def foo(team_i, start, end):
global teams
global p_win
global sol_space
assert team_i >= start and team_i < end
num_teams = end - start
if num_teams == 1:
return 1
if (team_i, start, end) in sol_space:
return sol_space[team_i, start, end]
psum = 0
if team_i >= start + num_teams // 2:
result = foo(team_i, start + num_teams // 2, end)
for i in range(start, start + num_teams // 2):
psum += foo(i, start, start + num_teams // 2) * p_win[team_i][i] * 0.01
result *= psum
else:
result = foo(team_i, start, start + num_teams // 2)
for i in range(start + num_teams // 2, end):
psum += foo(i, start + num_teams // 2, end) * p_win[team_i][i] * 0.01
result *= psum
sol_space[team_i, start, end] = result
return result
teams = []
for i in range(16):
teams.append(str(input()))
p_win = []
for i in range(16):
p = list(map(int, input().split()))
p_win.append(p)
p_all = [foo(i, 0, 16) for i in range(16)]
for (team, p) in zip(teams, p_all):
print('{0:10} p={1:.2f}%'.format(str(team), p * 100)) |
def solution(N, A):
result = [0]*N # The list to be returned
max_counter = 0 # The used value in previous max_counter command
current_max = 0 # The current maximum value of any counter
for command in A:
if 1 <= command <= N:
# increase(X) command
if max_counter > result[command-1]:
# lazy write
result[command-1] = max_counter
result[command-1] += 1
if current_max < result[command-1]:
current_max = result[command-1]
else:
# max_counter command
# just record the current maximum value for later write
max_counter = current_max
for index in range(0,N):
if result[index] < max_counter:
# This element has never been used/updated after previous
# max_counter command
result[index] = max_counter
return result
print(solution(5, [3, 4, 4, 6, 1, 4, 4])) | def solution(N, A):
result = [0] * N
max_counter = 0
current_max = 0
for command in A:
if 1 <= command <= N:
if max_counter > result[command - 1]:
result[command - 1] = max_counter
result[command - 1] += 1
if current_max < result[command - 1]:
current_max = result[command - 1]
else:
max_counter = current_max
for index in range(0, N):
if result[index] < max_counter:
result[index] = max_counter
return result
print(solution(5, [3, 4, 4, 6, 1, 4, 4])) |
'''
You can run it directly to see results.
'''
def rob2(nums):
# This problem is similar to Rober_I.
#
# However, for N houses,
# the 1st house and the Nth house
# can be robbed at the same time.
#
# So the tricky point is that this
# problem can be divided into two
# cases:
# 1) The first house considered
# and the last one not included
#
# 2) The last house considered
# and the first house not included
#
# Note: 'considered' != 'included'
#
# More: there may be duplicate sub-cases
# between them, which can be
# optimal.
if len(nums) == 1:
return nums
res1 = [0, 0] + nums[:-1]
res2 = [0, 0] + nums[1:]
for i in range(2, len(res1)):
res1[i] = max(res1[i] + res1[i - 2], res1[i - 1])
for i in range(2, len(res2)):
res2[i] = max(res2[i] + res2[i - 2], res2[i - 1])
end = len(res2) - 1
return res2[1:] if res2[end] > res1[end] else res1[2:]
def find_path(nums, res):
idx = []
end = len(res) - 1
i = end
while i > - 1:
if i > 0:
if res[i] != res[i - 1]:
idx = [i] + idx
i -= 2
else:
i -= 1
else:
if end not in idx:
# decide the first one or the last one
# should not be included
idx = [0] + idx
i -= 1
return idx
def testcase():
# test cases
# assume that each value is an non-negative integer and there's one house at least.
tests = []
tests.append([1, 2, 3, 4, 5, 1, 2, 3, 4, 5])
tests.append([1, 2])
tests.append([1])
tests.append([1, 0, 1])
return tests
def print_info(tests):
n = 55
print
'#' * n
print
print
'Problem: Robber II'
print
print
'=' * n
for i, t in enumerate(tests):
assert t != []
res = rob2(t)
path = find_path(t, res)
val_robb = [t[idx] for idx in path]
print
print
'test case #' + str(i) + ':'
print
' Maximal value: ' + str(res[len(res) - 1])
print
' Values of each house: ' + str(t)
print
' Indices of the path: ' + str(path)
print
' Robbed values: ' + str(val_robb)
print
print
'=' * n
def main():
print_info(testcase())
if __name__ == "__main__":
main()
| """
You can run it directly to see results.
"""
def rob2(nums):
if len(nums) == 1:
return nums
res1 = [0, 0] + nums[:-1]
res2 = [0, 0] + nums[1:]
for i in range(2, len(res1)):
res1[i] = max(res1[i] + res1[i - 2], res1[i - 1])
for i in range(2, len(res2)):
res2[i] = max(res2[i] + res2[i - 2], res2[i - 1])
end = len(res2) - 1
return res2[1:] if res2[end] > res1[end] else res1[2:]
def find_path(nums, res):
idx = []
end = len(res) - 1
i = end
while i > -1:
if i > 0:
if res[i] != res[i - 1]:
idx = [i] + idx
i -= 2
else:
i -= 1
else:
if end not in idx:
idx = [0] + idx
i -= 1
return idx
def testcase():
tests = []
tests.append([1, 2, 3, 4, 5, 1, 2, 3, 4, 5])
tests.append([1, 2])
tests.append([1])
tests.append([1, 0, 1])
return tests
def print_info(tests):
n = 55
print
'#' * n
print
print
'Problem: Robber II'
print
print
'=' * n
for (i, t) in enumerate(tests):
assert t != []
res = rob2(t)
path = find_path(t, res)
val_robb = [t[idx] for idx in path]
print
print
'test case #' + str(i) + ':'
print
' Maximal value: ' + str(res[len(res) - 1])
print
' Values of each house: ' + str(t)
print
' Indices of the path: ' + str(path)
print
' Robbed values: ' + str(val_robb)
print
print
'=' * n
def main():
print_info(testcase())
if __name__ == '__main__':
main() |
# -*- coding: utf-8 -*-
def log(client, message):
# print(message)
out = "%d # %s (%d): \"%s\"" % (
message.chat.id,
message.from_user.username,
message.from_user.id,
message.text,
)
print(out)
| def log(client, message):
out = '%d # %s (%d): "%s"' % (message.chat.id, message.from_user.username, message.from_user.id, message.text)
print(out) |
#encoding: utf-8
def main():
print('hello, pyinstaller')
if __name__ == '__main__':
main()
| def main():
print('hello, pyinstaller')
if __name__ == '__main__':
main() |
string = "88be350-804b000-80489c3-f7f93d80-ffffffff-1-88bc160-f7fa1110-f7f93dc7-0-88bd180-3b-88be330-88be350-6f636970-7b465443-306c5f49-345f7435-6d5f6c6c-306d5f79-5f79336e-38343136-34356562-fff2007d-f7fceaf8-f7fa1440-df64fb00-1-0-f7e30ce9-f7fa20c0-f7f935c0-f7f93000-fff291c8-f7e2168d-f7f935c0-8048eca-fff291d4-0-f7fb5f09-804b000"
s = ''
for i in string.split('-'):
if(len(i) == 8):
ch = bytearray.fromhex(i)
for b in reversed(ch):
if b > 32 and b < 128:
s += chr(b)
print(s)
| string = '88be350-804b000-80489c3-f7f93d80-ffffffff-1-88bc160-f7fa1110-f7f93dc7-0-88bd180-3b-88be330-88be350-6f636970-7b465443-306c5f49-345f7435-6d5f6c6c-306d5f79-5f79336e-38343136-34356562-fff2007d-f7fceaf8-f7fa1440-df64fb00-1-0-f7e30ce9-f7fa20c0-f7f935c0-f7f93000-fff291c8-f7e2168d-f7f935c0-8048eca-fff291d4-0-f7fb5f09-804b000'
s = ''
for i in string.split('-'):
if len(i) == 8:
ch = bytearray.fromhex(i)
for b in reversed(ch):
if b > 32 and b < 128:
s += chr(b)
print(s) |
class BaseError(Exception):
pass
class InvalidFormatError(BaseError):
pass
class InvalidPluginError(BaseError):
pass
class InvalidPageError(BaseError):
def __init__(self, pages):
super().__init__('Invalid page range: %i-%i' % pages)
| class Baseerror(Exception):
pass
class Invalidformaterror(BaseError):
pass
class Invalidpluginerror(BaseError):
pass
class Invalidpageerror(BaseError):
def __init__(self, pages):
super().__init__('Invalid page range: %i-%i' % pages) |
#
# PySNMP MIB module CISCO-LIVEDATA-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CISCO-LIVEDATA-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 17:47:36 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
OctetString, ObjectIdentifier, Integer = mibBuilder.importSymbols("ASN1", "OctetString", "ObjectIdentifier", "Integer")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
SingleValueConstraint, ConstraintsUnion, ConstraintsIntersection, ValueRangeConstraint, ValueSizeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "SingleValueConstraint", "ConstraintsUnion", "ConstraintsIntersection", "ValueRangeConstraint", "ValueSizeConstraint")
ciscoMgmt, = mibBuilder.importSymbols("CISCO-SMI", "ciscoMgmt")
SnmpAdminString, = mibBuilder.importSymbols("SNMP-FRAMEWORK-MIB", "SnmpAdminString")
ObjectGroup, ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ObjectGroup", "ModuleCompliance", "NotificationGroup")
ObjectIdentity, Unsigned32, MibScalar, MibTable, MibTableRow, MibTableColumn, Integer32, Bits, Counter64, iso, MibIdentifier, ModuleIdentity, NotificationType, TimeTicks, Gauge32, Counter32, IpAddress = mibBuilder.importSymbols("SNMPv2-SMI", "ObjectIdentity", "Unsigned32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Integer32", "Bits", "Counter64", "iso", "MibIdentifier", "ModuleIdentity", "NotificationType", "TimeTicks", "Gauge32", "Counter32", "IpAddress")
DisplayString, DateAndTime, TextualConvention, TruthValue = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "DateAndTime", "TextualConvention", "TruthValue")
ciscoLivedataMIB = ModuleIdentity((1, 3, 6, 1, 4, 1, 9, 9, 814))
ciscoLivedataMIB.setRevisions(('2013-05-23 00:00',))
if mibBuilder.loadTexts: ciscoLivedataMIB.setLastUpdated('201308290000Z')
if mibBuilder.loadTexts: ciscoLivedataMIB.setOrganization('Cisco Systems, Inc.')
class CldIndex(TextualConvention, Unsigned32):
status = 'current'
displayHint = 'd'
subtypeSpec = Unsigned32.subtypeSpec + ValueRangeConstraint(1, 4294967295)
class CldSeverity(TextualConvention, Integer32):
status = 'current'
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8))
namedValues = NamedValues(("emergency", 1), ("alert", 2), ("critical", 3), ("error", 4), ("warning", 5), ("notice", 6), ("informational", 7), ("debug", 8))
ciscoLivedataMIBNotifs = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 814, 0))
ciscoLivedataMIBObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 814, 1))
cldGeneral = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 1))
cldCluster = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 2))
cldServices = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 3))
cldReportingConnections = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4))
cldEvents = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 5))
ciscoLivedataMIBConform = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 814, 2))
ciscoLivedataMIBCompliances = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 814, 2, 1))
ciscoLivedataMIBGroups = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 814, 2, 2))
cldServerName = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 1, 1), SnmpAdminString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cldServerName.setStatus('current')
cldDescription = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 1, 2), SnmpAdminString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cldDescription.setStatus('current')
cldVersion = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 1, 3), SnmpAdminString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cldVersion.setStatus('current')
cldStartTime = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 1, 4), DateAndTime()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cldStartTime.setStatus('current')
cldTimeZoneName = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 1, 5), SnmpAdminString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cldTimeZoneName.setStatus('current')
cldTimeZoneOffset = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 1, 6), Integer32()).setUnits('minutes').setMaxAccess("readonly")
if mibBuilder.loadTexts: cldTimeZoneOffset.setStatus('current')
cldEventNotifEnable = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 1, 7), TruthValue().clone('true')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: cldEventNotifEnable.setStatus('current')
cldClusterID = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 2, 1), SnmpAdminString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cldClusterID.setStatus('current')
cldClusterStatus = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 2, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6))).clone(namedValues=NamedValues(("pairedActive", 1), ("pairedStandby", 2), ("isolatedActive", 3), ("isolatedStandby", 4), ("testing", 5), ("outOfService", 6)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: cldClusterStatus.setStatus('current')
cldClusterAddress = MibScalar((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 2, 3), SnmpAdminString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cldClusterAddress.setStatus('current')
cldServiceTable = MibTable((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 3, 1), )
if mibBuilder.loadTexts: cldServiceTable.setStatus('current')
cldServiceEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 3, 1, 1), ).setIndexNames((0, "CISCO-LIVEDATA-MIB", "cldServiceIndex"))
if mibBuilder.loadTexts: cldServiceEntry.setStatus('current')
cldServiceIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 3, 1, 1, 1), CldIndex())
if mibBuilder.loadTexts: cldServiceIndex.setStatus('current')
cldServiceName = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 3, 1, 1, 2), SnmpAdminString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cldServiceName.setStatus('current')
cldServiceState = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 3, 1, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7))).clone(namedValues=NamedValues(("unknown", 1), ("disabled", 2), ("starting", 3), ("started", 4), ("active", 5), ("stopping", 6), ("stopped", 7)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: cldServiceState.setStatus('current')
cldServiceUpTime = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 3, 1, 1, 4), DateAndTime()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cldServiceUpTime.setStatus('current')
cldReportingConnectionTable = MibTable((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4, 1), )
if mibBuilder.loadTexts: cldReportingConnectionTable.setStatus('current')
cldReportingConnectionEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4, 1, 1), ).setIndexNames((0, "CISCO-LIVEDATA-MIB", "cldRptConnIndex"))
if mibBuilder.loadTexts: cldReportingConnectionEntry.setStatus('current')
cldRptConnIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4, 1, 1, 1), CldIndex())
if mibBuilder.loadTexts: cldRptConnIndex.setStatus('current')
cldRptConnServerID = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4, 1, 1, 2), SnmpAdminString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cldRptConnServerID.setStatus('current')
cldRptConnServerAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4, 1, 1, 3), SnmpAdminString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cldRptConnServerAddress.setStatus('current')
cldRptConnState = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4, 1, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("inactive", 1), ("active", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: cldRptConnState.setStatus('current')
cldRptConnStateTime = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4, 1, 1, 5), DateAndTime()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cldRptConnStateTime.setStatus('current')
cldRptConnEventRate = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4, 1, 1, 6), Gauge32()).setUnits('events').setMaxAccess("readonly")
if mibBuilder.loadTexts: cldRptConnEventRate.setStatus('current')
cldRptConnHeartbeatRTT = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4, 1, 1, 7), Gauge32()).setUnits('milliseconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: cldRptConnHeartbeatRTT.setStatus('current')
cldRptConnSocketConnects = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4, 1, 1, 8), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cldRptConnSocketConnects.setStatus('current')
cldRptConnSocketDisconnects = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4, 1, 1, 9), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cldRptConnSocketDisconnects.setStatus('current')
cldRptConnMessagesDiscarded = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4, 1, 1, 10), Counter32()).setUnits('messages').setMaxAccess("readonly")
if mibBuilder.loadTexts: cldRptConnMessagesDiscarded.setStatus('current')
cldRptConnDSCP = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4, 1, 1, 11), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cldRptConnDSCP.setStatus('current')
cldEventTable = MibTable((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 5, 1), )
if mibBuilder.loadTexts: cldEventTable.setStatus('current')
cldEventEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 5, 1, 1), ).setIndexNames((0, "CISCO-LIVEDATA-MIB", "cldEventIndex"))
if mibBuilder.loadTexts: cldEventEntry.setStatus('current')
cldEventIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 5, 1, 1, 1), CldIndex())
if mibBuilder.loadTexts: cldEventIndex.setStatus('current')
cldEventID = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 5, 1, 1, 2), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cldEventID.setStatus('current')
cldEventAppName = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 5, 1, 1, 3), SnmpAdminString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cldEventAppName.setStatus('current')
cldEventName = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 5, 1, 1, 4), SnmpAdminString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cldEventName.setStatus('current')
cldEventState = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 5, 1, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("raise", 1), ("clear", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: cldEventState.setStatus('current')
cldEventSeverity = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 5, 1, 1, 6), CldSeverity()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cldEventSeverity.setStatus('current')
cldEventTimestamp = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 5, 1, 1, 7), DateAndTime()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cldEventTimestamp.setStatus('current')
cldEventText = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 5, 1, 1, 8), SnmpAdminString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cldEventText.setStatus('current')
cldEventNotif = NotificationType((1, 3, 6, 1, 4, 1, 9, 9, 814, 0, 1)).setObjects(("CISCO-LIVEDATA-MIB", "cldEventID"), ("CISCO-LIVEDATA-MIB", "cldServerName"), ("CISCO-LIVEDATA-MIB", "cldEventAppName"), ("CISCO-LIVEDATA-MIB", "cldEventName"), ("CISCO-LIVEDATA-MIB", "cldEventState"), ("CISCO-LIVEDATA-MIB", "cldEventSeverity"), ("CISCO-LIVEDATA-MIB", "cldEventTimestamp"), ("CISCO-LIVEDATA-MIB", "cldEventText"))
if mibBuilder.loadTexts: cldEventNotif.setStatus('current')
ciscoLivedataMIBCompliance = ModuleCompliance((1, 3, 6, 1, 4, 1, 9, 9, 814, 2, 1, 1)).setObjects(("CISCO-LIVEDATA-MIB", "cldGeneralGroup"), ("CISCO-LIVEDATA-MIB", "cldClusterGroup"), ("CISCO-LIVEDATA-MIB", "cldServicesGroup"), ("CISCO-LIVEDATA-MIB", "cldRptConnectionsGroup"), ("CISCO-LIVEDATA-MIB", "cldEventsGroup"), ("CISCO-LIVEDATA-MIB", "cldMIBEventGroup"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ciscoLivedataMIBCompliance = ciscoLivedataMIBCompliance.setStatus('current')
cldGeneralGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 814, 2, 2, 1)).setObjects(("CISCO-LIVEDATA-MIB", "cldServerName"), ("CISCO-LIVEDATA-MIB", "cldDescription"), ("CISCO-LIVEDATA-MIB", "cldVersion"), ("CISCO-LIVEDATA-MIB", "cldStartTime"), ("CISCO-LIVEDATA-MIB", "cldTimeZoneName"), ("CISCO-LIVEDATA-MIB", "cldTimeZoneOffset"), ("CISCO-LIVEDATA-MIB", "cldEventNotifEnable"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cldGeneralGroup = cldGeneralGroup.setStatus('current')
cldClusterGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 814, 2, 2, 2)).setObjects(("CISCO-LIVEDATA-MIB", "cldClusterID"), ("CISCO-LIVEDATA-MIB", "cldClusterStatus"), ("CISCO-LIVEDATA-MIB", "cldClusterAddress"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cldClusterGroup = cldClusterGroup.setStatus('current')
cldServicesGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 814, 2, 2, 3)).setObjects(("CISCO-LIVEDATA-MIB", "cldServiceName"), ("CISCO-LIVEDATA-MIB", "cldServiceState"), ("CISCO-LIVEDATA-MIB", "cldServiceUpTime"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cldServicesGroup = cldServicesGroup.setStatus('current')
cldRptConnectionsGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 814, 2, 2, 4)).setObjects(("CISCO-LIVEDATA-MIB", "cldRptConnServerID"), ("CISCO-LIVEDATA-MIB", "cldRptConnServerAddress"), ("CISCO-LIVEDATA-MIB", "cldRptConnState"), ("CISCO-LIVEDATA-MIB", "cldRptConnStateTime"), ("CISCO-LIVEDATA-MIB", "cldRptConnEventRate"), ("CISCO-LIVEDATA-MIB", "cldRptConnHeartbeatRTT"), ("CISCO-LIVEDATA-MIB", "cldRptConnSocketConnects"), ("CISCO-LIVEDATA-MIB", "cldRptConnSocketDisconnects"), ("CISCO-LIVEDATA-MIB", "cldRptConnMessagesDiscarded"), ("CISCO-LIVEDATA-MIB", "cldRptConnDSCP"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cldRptConnectionsGroup = cldRptConnectionsGroup.setStatus('current')
cldEventsGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 814, 2, 2, 5)).setObjects(("CISCO-LIVEDATA-MIB", "cldEventID"), ("CISCO-LIVEDATA-MIB", "cldEventAppName"), ("CISCO-LIVEDATA-MIB", "cldEventName"), ("CISCO-LIVEDATA-MIB", "cldEventState"), ("CISCO-LIVEDATA-MIB", "cldEventSeverity"), ("CISCO-LIVEDATA-MIB", "cldEventTimestamp"), ("CISCO-LIVEDATA-MIB", "cldEventText"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cldEventsGroup = cldEventsGroup.setStatus('current')
cldMIBEventGroup = NotificationGroup((1, 3, 6, 1, 4, 1, 9, 9, 814, 2, 2, 6)).setObjects(("CISCO-LIVEDATA-MIB", "cldEventNotif"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cldMIBEventGroup = cldMIBEventGroup.setStatus('current')
mibBuilder.exportSymbols("CISCO-LIVEDATA-MIB", ciscoLivedataMIBNotifs=ciscoLivedataMIBNotifs, cldEventName=cldEventName, cldGeneral=cldGeneral, cldEventSeverity=cldEventSeverity, cldRptConnState=cldRptConnState, cldReportingConnectionTable=cldReportingConnectionTable, cldVersion=cldVersion, cldDescription=cldDescription, cldRptConnIndex=cldRptConnIndex, cldRptConnSocketDisconnects=cldRptConnSocketDisconnects, cldEventTable=cldEventTable, cldEventsGroup=cldEventsGroup, cldReportingConnections=cldReportingConnections, cldCluster=cldCluster, ciscoLivedataMIBConform=ciscoLivedataMIBConform, cldMIBEventGroup=cldMIBEventGroup, cldTimeZoneOffset=cldTimeZoneOffset, cldEvents=cldEvents, CldIndex=CldIndex, ciscoLivedataMIBCompliances=ciscoLivedataMIBCompliances, cldRptConnServerID=cldRptConnServerID, cldServerName=cldServerName, cldEventNotif=cldEventNotif, cldRptConnEventRate=cldRptConnEventRate, CldSeverity=CldSeverity, cldEventAppName=cldEventAppName, cldServiceState=cldServiceState, cldRptConnMessagesDiscarded=cldRptConnMessagesDiscarded, cldServiceIndex=cldServiceIndex, cldServiceName=cldServiceName, cldServiceEntry=cldServiceEntry, cldClusterAddress=cldClusterAddress, cldRptConnStateTime=cldRptConnStateTime, cldServicesGroup=cldServicesGroup, cldEventText=cldEventText, ciscoLivedataMIB=ciscoLivedataMIB, cldClusterGroup=cldClusterGroup, cldEventID=cldEventID, cldEventState=cldEventState, ciscoLivedataMIBCompliance=ciscoLivedataMIBCompliance, cldRptConnSocketConnects=cldRptConnSocketConnects, cldEventTimestamp=cldEventTimestamp, cldEventNotifEnable=cldEventNotifEnable, cldEventEntry=cldEventEntry, cldTimeZoneName=cldTimeZoneName, cldRptConnHeartbeatRTT=cldRptConnHeartbeatRTT, cldClusterStatus=cldClusterStatus, cldRptConnDSCP=cldRptConnDSCP, cldRptConnectionsGroup=cldRptConnectionsGroup, cldRptConnServerAddress=cldRptConnServerAddress, cldServices=cldServices, ciscoLivedataMIBObjects=ciscoLivedataMIBObjects, cldEventIndex=cldEventIndex, cldServiceUpTime=cldServiceUpTime, cldGeneralGroup=cldGeneralGroup, cldClusterID=cldClusterID, cldStartTime=cldStartTime, PYSNMP_MODULE_ID=ciscoLivedataMIB, ciscoLivedataMIBGroups=ciscoLivedataMIBGroups, cldReportingConnectionEntry=cldReportingConnectionEntry, cldServiceTable=cldServiceTable)
| (octet_string, object_identifier, integer) = mibBuilder.importSymbols('ASN1', 'OctetString', 'ObjectIdentifier', 'Integer')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(single_value_constraint, constraints_union, constraints_intersection, value_range_constraint, value_size_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'SingleValueConstraint', 'ConstraintsUnion', 'ConstraintsIntersection', 'ValueRangeConstraint', 'ValueSizeConstraint')
(cisco_mgmt,) = mibBuilder.importSymbols('CISCO-SMI', 'ciscoMgmt')
(snmp_admin_string,) = mibBuilder.importSymbols('SNMP-FRAMEWORK-MIB', 'SnmpAdminString')
(object_group, module_compliance, notification_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ObjectGroup', 'ModuleCompliance', 'NotificationGroup')
(object_identity, unsigned32, mib_scalar, mib_table, mib_table_row, mib_table_column, integer32, bits, counter64, iso, mib_identifier, module_identity, notification_type, time_ticks, gauge32, counter32, ip_address) = mibBuilder.importSymbols('SNMPv2-SMI', 'ObjectIdentity', 'Unsigned32', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'Integer32', 'Bits', 'Counter64', 'iso', 'MibIdentifier', 'ModuleIdentity', 'NotificationType', 'TimeTicks', 'Gauge32', 'Counter32', 'IpAddress')
(display_string, date_and_time, textual_convention, truth_value) = mibBuilder.importSymbols('SNMPv2-TC', 'DisplayString', 'DateAndTime', 'TextualConvention', 'TruthValue')
cisco_livedata_mib = module_identity((1, 3, 6, 1, 4, 1, 9, 9, 814))
ciscoLivedataMIB.setRevisions(('2013-05-23 00:00',))
if mibBuilder.loadTexts:
ciscoLivedataMIB.setLastUpdated('201308290000Z')
if mibBuilder.loadTexts:
ciscoLivedataMIB.setOrganization('Cisco Systems, Inc.')
class Cldindex(TextualConvention, Unsigned32):
status = 'current'
display_hint = 'd'
subtype_spec = Unsigned32.subtypeSpec + value_range_constraint(1, 4294967295)
class Cldseverity(TextualConvention, Integer32):
status = 'current'
subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6, 7, 8))
named_values = named_values(('emergency', 1), ('alert', 2), ('critical', 3), ('error', 4), ('warning', 5), ('notice', 6), ('informational', 7), ('debug', 8))
cisco_livedata_mib_notifs = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 814, 0))
cisco_livedata_mib_objects = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 814, 1))
cld_general = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 1))
cld_cluster = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 2))
cld_services = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 3))
cld_reporting_connections = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4))
cld_events = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 5))
cisco_livedata_mib_conform = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 814, 2))
cisco_livedata_mib_compliances = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 814, 2, 1))
cisco_livedata_mib_groups = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 814, 2, 2))
cld_server_name = mib_scalar((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 1, 1), snmp_admin_string()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldServerName.setStatus('current')
cld_description = mib_scalar((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 1, 2), snmp_admin_string()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldDescription.setStatus('current')
cld_version = mib_scalar((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 1, 3), snmp_admin_string()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldVersion.setStatus('current')
cld_start_time = mib_scalar((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 1, 4), date_and_time()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldStartTime.setStatus('current')
cld_time_zone_name = mib_scalar((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 1, 5), snmp_admin_string()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldTimeZoneName.setStatus('current')
cld_time_zone_offset = mib_scalar((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 1, 6), integer32()).setUnits('minutes').setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldTimeZoneOffset.setStatus('current')
cld_event_notif_enable = mib_scalar((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 1, 7), truth_value().clone('true')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
cldEventNotifEnable.setStatus('current')
cld_cluster_id = mib_scalar((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 2, 1), snmp_admin_string()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldClusterID.setStatus('current')
cld_cluster_status = mib_scalar((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 2, 2), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6))).clone(namedValues=named_values(('pairedActive', 1), ('pairedStandby', 2), ('isolatedActive', 3), ('isolatedStandby', 4), ('testing', 5), ('outOfService', 6)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldClusterStatus.setStatus('current')
cld_cluster_address = mib_scalar((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 2, 3), snmp_admin_string()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldClusterAddress.setStatus('current')
cld_service_table = mib_table((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 3, 1))
if mibBuilder.loadTexts:
cldServiceTable.setStatus('current')
cld_service_entry = mib_table_row((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 3, 1, 1)).setIndexNames((0, 'CISCO-LIVEDATA-MIB', 'cldServiceIndex'))
if mibBuilder.loadTexts:
cldServiceEntry.setStatus('current')
cld_service_index = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 3, 1, 1, 1), cld_index())
if mibBuilder.loadTexts:
cldServiceIndex.setStatus('current')
cld_service_name = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 3, 1, 1, 2), snmp_admin_string()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldServiceName.setStatus('current')
cld_service_state = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 3, 1, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6, 7))).clone(namedValues=named_values(('unknown', 1), ('disabled', 2), ('starting', 3), ('started', 4), ('active', 5), ('stopping', 6), ('stopped', 7)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldServiceState.setStatus('current')
cld_service_up_time = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 3, 1, 1, 4), date_and_time()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldServiceUpTime.setStatus('current')
cld_reporting_connection_table = mib_table((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4, 1))
if mibBuilder.loadTexts:
cldReportingConnectionTable.setStatus('current')
cld_reporting_connection_entry = mib_table_row((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4, 1, 1)).setIndexNames((0, 'CISCO-LIVEDATA-MIB', 'cldRptConnIndex'))
if mibBuilder.loadTexts:
cldReportingConnectionEntry.setStatus('current')
cld_rpt_conn_index = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4, 1, 1, 1), cld_index())
if mibBuilder.loadTexts:
cldRptConnIndex.setStatus('current')
cld_rpt_conn_server_id = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4, 1, 1, 2), snmp_admin_string()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldRptConnServerID.setStatus('current')
cld_rpt_conn_server_address = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4, 1, 1, 3), snmp_admin_string()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldRptConnServerAddress.setStatus('current')
cld_rpt_conn_state = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4, 1, 1, 4), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('inactive', 1), ('active', 2)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldRptConnState.setStatus('current')
cld_rpt_conn_state_time = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4, 1, 1, 5), date_and_time()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldRptConnStateTime.setStatus('current')
cld_rpt_conn_event_rate = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4, 1, 1, 6), gauge32()).setUnits('events').setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldRptConnEventRate.setStatus('current')
cld_rpt_conn_heartbeat_rtt = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4, 1, 1, 7), gauge32()).setUnits('milliseconds').setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldRptConnHeartbeatRTT.setStatus('current')
cld_rpt_conn_socket_connects = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4, 1, 1, 8), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldRptConnSocketConnects.setStatus('current')
cld_rpt_conn_socket_disconnects = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4, 1, 1, 9), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldRptConnSocketDisconnects.setStatus('current')
cld_rpt_conn_messages_discarded = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4, 1, 1, 10), counter32()).setUnits('messages').setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldRptConnMessagesDiscarded.setStatus('current')
cld_rpt_conn_dscp = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 4, 1, 1, 11), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldRptConnDSCP.setStatus('current')
cld_event_table = mib_table((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 5, 1))
if mibBuilder.loadTexts:
cldEventTable.setStatus('current')
cld_event_entry = mib_table_row((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 5, 1, 1)).setIndexNames((0, 'CISCO-LIVEDATA-MIB', 'cldEventIndex'))
if mibBuilder.loadTexts:
cldEventEntry.setStatus('current')
cld_event_index = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 5, 1, 1, 1), cld_index())
if mibBuilder.loadTexts:
cldEventIndex.setStatus('current')
cld_event_id = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 5, 1, 1, 2), unsigned32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldEventID.setStatus('current')
cld_event_app_name = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 5, 1, 1, 3), snmp_admin_string()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldEventAppName.setStatus('current')
cld_event_name = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 5, 1, 1, 4), snmp_admin_string()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldEventName.setStatus('current')
cld_event_state = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 5, 1, 1, 5), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('raise', 1), ('clear', 2)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldEventState.setStatus('current')
cld_event_severity = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 5, 1, 1, 6), cld_severity()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldEventSeverity.setStatus('current')
cld_event_timestamp = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 5, 1, 1, 7), date_and_time()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldEventTimestamp.setStatus('current')
cld_event_text = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 814, 1, 5, 1, 1, 8), snmp_admin_string()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
cldEventText.setStatus('current')
cld_event_notif = notification_type((1, 3, 6, 1, 4, 1, 9, 9, 814, 0, 1)).setObjects(('CISCO-LIVEDATA-MIB', 'cldEventID'), ('CISCO-LIVEDATA-MIB', 'cldServerName'), ('CISCO-LIVEDATA-MIB', 'cldEventAppName'), ('CISCO-LIVEDATA-MIB', 'cldEventName'), ('CISCO-LIVEDATA-MIB', 'cldEventState'), ('CISCO-LIVEDATA-MIB', 'cldEventSeverity'), ('CISCO-LIVEDATA-MIB', 'cldEventTimestamp'), ('CISCO-LIVEDATA-MIB', 'cldEventText'))
if mibBuilder.loadTexts:
cldEventNotif.setStatus('current')
cisco_livedata_mib_compliance = module_compliance((1, 3, 6, 1, 4, 1, 9, 9, 814, 2, 1, 1)).setObjects(('CISCO-LIVEDATA-MIB', 'cldGeneralGroup'), ('CISCO-LIVEDATA-MIB', 'cldClusterGroup'), ('CISCO-LIVEDATA-MIB', 'cldServicesGroup'), ('CISCO-LIVEDATA-MIB', 'cldRptConnectionsGroup'), ('CISCO-LIVEDATA-MIB', 'cldEventsGroup'), ('CISCO-LIVEDATA-MIB', 'cldMIBEventGroup'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cisco_livedata_mib_compliance = ciscoLivedataMIBCompliance.setStatus('current')
cld_general_group = object_group((1, 3, 6, 1, 4, 1, 9, 9, 814, 2, 2, 1)).setObjects(('CISCO-LIVEDATA-MIB', 'cldServerName'), ('CISCO-LIVEDATA-MIB', 'cldDescription'), ('CISCO-LIVEDATA-MIB', 'cldVersion'), ('CISCO-LIVEDATA-MIB', 'cldStartTime'), ('CISCO-LIVEDATA-MIB', 'cldTimeZoneName'), ('CISCO-LIVEDATA-MIB', 'cldTimeZoneOffset'), ('CISCO-LIVEDATA-MIB', 'cldEventNotifEnable'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cld_general_group = cldGeneralGroup.setStatus('current')
cld_cluster_group = object_group((1, 3, 6, 1, 4, 1, 9, 9, 814, 2, 2, 2)).setObjects(('CISCO-LIVEDATA-MIB', 'cldClusterID'), ('CISCO-LIVEDATA-MIB', 'cldClusterStatus'), ('CISCO-LIVEDATA-MIB', 'cldClusterAddress'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cld_cluster_group = cldClusterGroup.setStatus('current')
cld_services_group = object_group((1, 3, 6, 1, 4, 1, 9, 9, 814, 2, 2, 3)).setObjects(('CISCO-LIVEDATA-MIB', 'cldServiceName'), ('CISCO-LIVEDATA-MIB', 'cldServiceState'), ('CISCO-LIVEDATA-MIB', 'cldServiceUpTime'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cld_services_group = cldServicesGroup.setStatus('current')
cld_rpt_connections_group = object_group((1, 3, 6, 1, 4, 1, 9, 9, 814, 2, 2, 4)).setObjects(('CISCO-LIVEDATA-MIB', 'cldRptConnServerID'), ('CISCO-LIVEDATA-MIB', 'cldRptConnServerAddress'), ('CISCO-LIVEDATA-MIB', 'cldRptConnState'), ('CISCO-LIVEDATA-MIB', 'cldRptConnStateTime'), ('CISCO-LIVEDATA-MIB', 'cldRptConnEventRate'), ('CISCO-LIVEDATA-MIB', 'cldRptConnHeartbeatRTT'), ('CISCO-LIVEDATA-MIB', 'cldRptConnSocketConnects'), ('CISCO-LIVEDATA-MIB', 'cldRptConnSocketDisconnects'), ('CISCO-LIVEDATA-MIB', 'cldRptConnMessagesDiscarded'), ('CISCO-LIVEDATA-MIB', 'cldRptConnDSCP'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cld_rpt_connections_group = cldRptConnectionsGroup.setStatus('current')
cld_events_group = object_group((1, 3, 6, 1, 4, 1, 9, 9, 814, 2, 2, 5)).setObjects(('CISCO-LIVEDATA-MIB', 'cldEventID'), ('CISCO-LIVEDATA-MIB', 'cldEventAppName'), ('CISCO-LIVEDATA-MIB', 'cldEventName'), ('CISCO-LIVEDATA-MIB', 'cldEventState'), ('CISCO-LIVEDATA-MIB', 'cldEventSeverity'), ('CISCO-LIVEDATA-MIB', 'cldEventTimestamp'), ('CISCO-LIVEDATA-MIB', 'cldEventText'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cld_events_group = cldEventsGroup.setStatus('current')
cld_mib_event_group = notification_group((1, 3, 6, 1, 4, 1, 9, 9, 814, 2, 2, 6)).setObjects(('CISCO-LIVEDATA-MIB', 'cldEventNotif'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cld_mib_event_group = cldMIBEventGroup.setStatus('current')
mibBuilder.exportSymbols('CISCO-LIVEDATA-MIB', ciscoLivedataMIBNotifs=ciscoLivedataMIBNotifs, cldEventName=cldEventName, cldGeneral=cldGeneral, cldEventSeverity=cldEventSeverity, cldRptConnState=cldRptConnState, cldReportingConnectionTable=cldReportingConnectionTable, cldVersion=cldVersion, cldDescription=cldDescription, cldRptConnIndex=cldRptConnIndex, cldRptConnSocketDisconnects=cldRptConnSocketDisconnects, cldEventTable=cldEventTable, cldEventsGroup=cldEventsGroup, cldReportingConnections=cldReportingConnections, cldCluster=cldCluster, ciscoLivedataMIBConform=ciscoLivedataMIBConform, cldMIBEventGroup=cldMIBEventGroup, cldTimeZoneOffset=cldTimeZoneOffset, cldEvents=cldEvents, CldIndex=CldIndex, ciscoLivedataMIBCompliances=ciscoLivedataMIBCompliances, cldRptConnServerID=cldRptConnServerID, cldServerName=cldServerName, cldEventNotif=cldEventNotif, cldRptConnEventRate=cldRptConnEventRate, CldSeverity=CldSeverity, cldEventAppName=cldEventAppName, cldServiceState=cldServiceState, cldRptConnMessagesDiscarded=cldRptConnMessagesDiscarded, cldServiceIndex=cldServiceIndex, cldServiceName=cldServiceName, cldServiceEntry=cldServiceEntry, cldClusterAddress=cldClusterAddress, cldRptConnStateTime=cldRptConnStateTime, cldServicesGroup=cldServicesGroup, cldEventText=cldEventText, ciscoLivedataMIB=ciscoLivedataMIB, cldClusterGroup=cldClusterGroup, cldEventID=cldEventID, cldEventState=cldEventState, ciscoLivedataMIBCompliance=ciscoLivedataMIBCompliance, cldRptConnSocketConnects=cldRptConnSocketConnects, cldEventTimestamp=cldEventTimestamp, cldEventNotifEnable=cldEventNotifEnable, cldEventEntry=cldEventEntry, cldTimeZoneName=cldTimeZoneName, cldRptConnHeartbeatRTT=cldRptConnHeartbeatRTT, cldClusterStatus=cldClusterStatus, cldRptConnDSCP=cldRptConnDSCP, cldRptConnectionsGroup=cldRptConnectionsGroup, cldRptConnServerAddress=cldRptConnServerAddress, cldServices=cldServices, ciscoLivedataMIBObjects=ciscoLivedataMIBObjects, cldEventIndex=cldEventIndex, cldServiceUpTime=cldServiceUpTime, cldGeneralGroup=cldGeneralGroup, cldClusterID=cldClusterID, cldStartTime=cldStartTime, PYSNMP_MODULE_ID=ciscoLivedataMIB, ciscoLivedataMIBGroups=ciscoLivedataMIBGroups, cldReportingConnectionEntry=cldReportingConnectionEntry, cldServiceTable=cldServiceTable) |
Cortes = Goalkeeper('Francisco Cortes', 79, 74, 79, 69)
Enrique = Outfield_Player('Sergio Enrique', 'DF', 51, 79, 77, 73, 79, 69)
Alegre = Outfield_Player('David Alegre', 'MF', 75, 68, 75, 73, 74, 76)
Carrera = Outfield_Player('Jardi Carrera', 'MF', 71, 73, 76, 74, 79, 78)
Lleonart = Outfield_Player('Xavi Lleonart', 'FW', 78, 50, 70, 78, 77, 85)
ESP = Team('Spain', Cortes, Enrique, Alegre, Carrera, Lleonart) | cortes = goalkeeper('Francisco Cortes', 79, 74, 79, 69)
enrique = outfield__player('Sergio Enrique', 'DF', 51, 79, 77, 73, 79, 69)
alegre = outfield__player('David Alegre', 'MF', 75, 68, 75, 73, 74, 76)
carrera = outfield__player('Jardi Carrera', 'MF', 71, 73, 76, 74, 79, 78)
lleonart = outfield__player('Xavi Lleonart', 'FW', 78, 50, 70, 78, 77, 85)
esp = team('Spain', Cortes, Enrique, Alegre, Carrera, Lleonart) |
__author__ = 'author'
info = {
"title": "Cartoview Workforce Manager",
"description": "Cartoview app to manage project/work group tasks. It provides a full management of a task status, priority, location ,attachments, comments",
"author": 'Cartologic',
"home_page": 'http://cartoview.org/apps/cartoview_workforce_manager',
"help_url": "http://cartoview.org/apps/cartoview_workforce_manager/help/",
"tags": ['app', 'map', 'viewer'],
"licence": 'BSD',
"author_website": "http://www.cartoview.org",
"single_instance": False
}
def install():
pass
def uninstall():
pass
| __author__ = 'author'
info = {'title': 'Cartoview Workforce Manager', 'description': 'Cartoview app to manage project/work group tasks. It provides a full management of a task status, priority, location ,attachments, comments', 'author': 'Cartologic', 'home_page': 'http://cartoview.org/apps/cartoview_workforce_manager', 'help_url': 'http://cartoview.org/apps/cartoview_workforce_manager/help/', 'tags': ['app', 'map', 'viewer'], 'licence': 'BSD', 'author_website': 'http://www.cartoview.org', 'single_instance': False}
def install():
pass
def uninstall():
pass |
class Solution:
def main(self, n, k):
for i in range(1, k+1):
for j in range(0, n+1):
if i == 1:
dp[i][j] = 1
continue
for l in range(0, j+1):
dp[i][j] += dp[i-1][j-l] % 1000000000
return dp[k][n] % 1000000000
sol = Solution()
n, k = map(int, input().split())
dp = [[0]*(n+1) for _ in range(k+1)]
print(sol.main(n, k)) | class Solution:
def main(self, n, k):
for i in range(1, k + 1):
for j in range(0, n + 1):
if i == 1:
dp[i][j] = 1
continue
for l in range(0, j + 1):
dp[i][j] += dp[i - 1][j - l] % 1000000000
return dp[k][n] % 1000000000
sol = solution()
(n, k) = map(int, input().split())
dp = [[0] * (n + 1) for _ in range(k + 1)]
print(sol.main(n, k)) |
class FakeLogger(object):
def debug(self, *argv, **kwargs): pass
def info(self, *argv, **kwargs): pass
def warn(self, *argv, **kwargs): pass
def error(self, *argv, **kwargs): pass
class FakeWorkerCommand(object):
def __init__(self):
self.commands = []
def __call__(self, *args):
self.commands.append(tuple(args))
| class Fakelogger(object):
def debug(self, *argv, **kwargs):
pass
def info(self, *argv, **kwargs):
pass
def warn(self, *argv, **kwargs):
pass
def error(self, *argv, **kwargs):
pass
class Fakeworkercommand(object):
def __init__(self):
self.commands = []
def __call__(self, *args):
self.commands.append(tuple(args)) |
def partition(x, left, right):
i = left - 1
point = x[right]
for j in range(left, right):
if x[j] < point:
i += 1
x[i], x[j] = x[j], x[i]
x[i + 1], x[right] = x[right], x[i + 1]
return i + 1
def quicksort(lst, left, right):
if left < right:
pi = partition(lst, left, right)
quicksort(lst, left, pi - 1)
quicksort(lst, pi + 1, right)
if __name__ == "__main__":
lst = [7,6,9,1,10,3,2,5,8,4]
print("Array =: " + str(lst))
quicksort(lst, 0, len(lst) - 1)
print("Sorted Array = : " + str(lst)) | def partition(x, left, right):
i = left - 1
point = x[right]
for j in range(left, right):
if x[j] < point:
i += 1
(x[i], x[j]) = (x[j], x[i])
(x[i + 1], x[right]) = (x[right], x[i + 1])
return i + 1
def quicksort(lst, left, right):
if left < right:
pi = partition(lst, left, right)
quicksort(lst, left, pi - 1)
quicksort(lst, pi + 1, right)
if __name__ == '__main__':
lst = [7, 6, 9, 1, 10, 3, 2, 5, 8, 4]
print('Array =: ' + str(lst))
quicksort(lst, 0, len(lst) - 1)
print('Sorted Array = : ' + str(lst)) |
class Cities:
def __init__(self):
self._cities = ['New York', 'Newark', 'New Delhi', 'Newcastle']
def __len__(self):
return len(self._cities)
def __iter__(self) -> iter: # Calling the Iterator Protocol with its instance
print('Calling Cities instance __iter__' )
return CityIterator(self)
class CityIterator:
def __init__(self, city_obj):
print('Calling CityIterator __init__')
self._city_obj = city_obj
self._index = 0
def __iter__(self):
print('Calling CityIterator instance __iter__')
return self
def __next__(self):
print('Calling __next__')
if self._index >= len(self._city_obj):
raise StopIteration
else:
item = self._city_obj._cities[self._index]
self._index += 1
return item
cities = Cities()
list(enumerate(cities))
# Calling Cities instance __iter__
# Calling CityIterator __init__
# Calling __next__
# Calling __next__
# Calling __next__
# Calling __next__
# Calling __next__
print('==='*15)
iter_1 = iter(cities)
iter_2 = iter(cities)
print(id(iter_1), id(iter_2)) # 1668501808272 1668501808512 | class Cities:
def __init__(self):
self._cities = ['New York', 'Newark', 'New Delhi', 'Newcastle']
def __len__(self):
return len(self._cities)
def __iter__(self) -> iter:
print('Calling Cities instance __iter__')
return city_iterator(self)
class Cityiterator:
def __init__(self, city_obj):
print('Calling CityIterator __init__')
self._city_obj = city_obj
self._index = 0
def __iter__(self):
print('Calling CityIterator instance __iter__')
return self
def __next__(self):
print('Calling __next__')
if self._index >= len(self._city_obj):
raise StopIteration
else:
item = self._city_obj._cities[self._index]
self._index += 1
return item
cities = cities()
list(enumerate(cities))
print('===' * 15)
iter_1 = iter(cities)
iter_2 = iter(cities)
print(id(iter_1), id(iter_2)) |
def parse(data):
result=[]
temp=0
for i in data:
if i=="i":
temp+=1
elif i=="d":
temp-=1
elif i=="s":
temp=temp**2
elif i=="o":
result.append(temp)
return result | def parse(data):
result = []
temp = 0
for i in data:
if i == 'i':
temp += 1
elif i == 'd':
temp -= 1
elif i == 's':
temp = temp ** 2
elif i == 'o':
result.append(temp)
return result |
async def test_neo4j_smoke(neo4j):
data = await neo4j.data()
assert 'node' in data
| async def test_neo4j_smoke(neo4j):
data = await neo4j.data()
assert 'node' in data |
# Program showing some examples of lambda functions in python
double_number = lambda num: num*2
reverse_string = lambda string: string[::-1]
add_numbers = lambda x,y: x+y
print(double_number(5))
print(reverse_string("Hi, this is a test !"))
print(add_numbers(10, 23))
| double_number = lambda num: num * 2
reverse_string = lambda string: string[::-1]
add_numbers = lambda x, y: x + y
print(double_number(5))
print(reverse_string('Hi, this is a test !'))
print(add_numbers(10, 23)) |
#
# PySNMP MIB module Unisphere-Data-Router-CONF (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/Unisphere-Data-Router-CONF
# Produced by pysmi-0.3.4 at Mon Apr 29 21:25:35 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
Integer, ObjectIdentifier, OctetString = mibBuilder.importSymbols("ASN1", "Integer", "ObjectIdentifier", "OctetString")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsIntersection, ConstraintsUnion, ValueSizeConstraint, ValueRangeConstraint, SingleValueConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsIntersection", "ConstraintsUnion", "ValueSizeConstraint", "ValueRangeConstraint", "SingleValueConstraint")
ModuleCompliance, AgentCapabilities, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "AgentCapabilities", "NotificationGroup")
MibScalar, MibTable, MibTableRow, MibTableColumn, Integer32, TimeTicks, iso, Bits, IpAddress, MibIdentifier, Unsigned32, ObjectIdentity, ModuleIdentity, Gauge32, Counter32, NotificationType, Counter64 = mibBuilder.importSymbols("SNMPv2-SMI", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Integer32", "TimeTicks", "iso", "Bits", "IpAddress", "MibIdentifier", "Unsigned32", "ObjectIdentity", "ModuleIdentity", "Gauge32", "Counter32", "NotificationType", "Counter64")
DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention")
usDataAgents, = mibBuilder.importSymbols("Unisphere-Data-Agents", "usDataAgents")
usdRouterGroup2, usdRouterGroup3, usdRouterGroup, usdRouterVrfGroup = mibBuilder.importSymbols("Unisphere-Data-ROUTER-MIB", "usdRouterGroup2", "usdRouterGroup3", "usdRouterGroup", "usdRouterVrfGroup")
usdRouterAgent = ModuleIdentity((1, 3, 6, 1, 4, 1, 4874, 5, 2, 37))
usdRouterAgent.setRevisions(('2002-05-10 19:06', '2001-03-29 18:17',))
if mibBuilder.loadTexts: usdRouterAgent.setLastUpdated('200205101906Z')
if mibBuilder.loadTexts: usdRouterAgent.setOrganization('Unisphere Networks, Inc.')
usdRouterAgentV1 = AgentCapabilities((1, 3, 6, 1, 4, 1, 4874, 5, 2, 37, 1))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
usdRouterAgentV1 = usdRouterAgentV1.setProductRelease('Version 1 of the Router component of the Unisphere Routing Switch SNMP\n agent. This version of the Router component was supported in the\n Unisphere RX 1.3 and 2.x system releases.')
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
usdRouterAgentV1 = usdRouterAgentV1.setStatus('obsolete')
usdRouterAgentV2 = AgentCapabilities((1, 3, 6, 1, 4, 1, 4874, 5, 2, 37, 2))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
usdRouterAgentV2 = usdRouterAgentV2.setProductRelease('Version 2 of the Router component of the Unisphere Routing Switch SNMP\n agent. This version of the Router component was supported in the\n Unisphere RX 3.x system releases.')
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
usdRouterAgentV2 = usdRouterAgentV2.setStatus('obsolete')
usdRouterAgentV3 = AgentCapabilities((1, 3, 6, 1, 4, 1, 4874, 5, 2, 37, 3))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
usdRouterAgentV3 = usdRouterAgentV3.setProductRelease('Version 3 of the Router component of the Unisphere Routing Switch SNMP\n agent. This version of the Router component is supported in the\n Unisphere RX 4.0 and subsequent system releases.')
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
usdRouterAgentV3 = usdRouterAgentV3.setStatus('current')
mibBuilder.exportSymbols("Unisphere-Data-Router-CONF", usdRouterAgent=usdRouterAgent, usdRouterAgentV1=usdRouterAgentV1, usdRouterAgentV2=usdRouterAgentV2, usdRouterAgentV3=usdRouterAgentV3, PYSNMP_MODULE_ID=usdRouterAgent)
| (integer, object_identifier, octet_string) = mibBuilder.importSymbols('ASN1', 'Integer', 'ObjectIdentifier', 'OctetString')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(constraints_intersection, constraints_union, value_size_constraint, value_range_constraint, single_value_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ConstraintsIntersection', 'ConstraintsUnion', 'ValueSizeConstraint', 'ValueRangeConstraint', 'SingleValueConstraint')
(module_compliance, agent_capabilities, notification_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ModuleCompliance', 'AgentCapabilities', 'NotificationGroup')
(mib_scalar, mib_table, mib_table_row, mib_table_column, integer32, time_ticks, iso, bits, ip_address, mib_identifier, unsigned32, object_identity, module_identity, gauge32, counter32, notification_type, counter64) = mibBuilder.importSymbols('SNMPv2-SMI', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'Integer32', 'TimeTicks', 'iso', 'Bits', 'IpAddress', 'MibIdentifier', 'Unsigned32', 'ObjectIdentity', 'ModuleIdentity', 'Gauge32', 'Counter32', 'NotificationType', 'Counter64')
(display_string, textual_convention) = mibBuilder.importSymbols('SNMPv2-TC', 'DisplayString', 'TextualConvention')
(us_data_agents,) = mibBuilder.importSymbols('Unisphere-Data-Agents', 'usDataAgents')
(usd_router_group2, usd_router_group3, usd_router_group, usd_router_vrf_group) = mibBuilder.importSymbols('Unisphere-Data-ROUTER-MIB', 'usdRouterGroup2', 'usdRouterGroup3', 'usdRouterGroup', 'usdRouterVrfGroup')
usd_router_agent = module_identity((1, 3, 6, 1, 4, 1, 4874, 5, 2, 37))
usdRouterAgent.setRevisions(('2002-05-10 19:06', '2001-03-29 18:17'))
if mibBuilder.loadTexts:
usdRouterAgent.setLastUpdated('200205101906Z')
if mibBuilder.loadTexts:
usdRouterAgent.setOrganization('Unisphere Networks, Inc.')
usd_router_agent_v1 = agent_capabilities((1, 3, 6, 1, 4, 1, 4874, 5, 2, 37, 1))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
usd_router_agent_v1 = usdRouterAgentV1.setProductRelease('Version 1 of the Router component of the Unisphere Routing Switch SNMP\n agent. This version of the Router component was supported in the\n Unisphere RX 1.3 and 2.x system releases.')
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
usd_router_agent_v1 = usdRouterAgentV1.setStatus('obsolete')
usd_router_agent_v2 = agent_capabilities((1, 3, 6, 1, 4, 1, 4874, 5, 2, 37, 2))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
usd_router_agent_v2 = usdRouterAgentV2.setProductRelease('Version 2 of the Router component of the Unisphere Routing Switch SNMP\n agent. This version of the Router component was supported in the\n Unisphere RX 3.x system releases.')
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
usd_router_agent_v2 = usdRouterAgentV2.setStatus('obsolete')
usd_router_agent_v3 = agent_capabilities((1, 3, 6, 1, 4, 1, 4874, 5, 2, 37, 3))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
usd_router_agent_v3 = usdRouterAgentV3.setProductRelease('Version 3 of the Router component of the Unisphere Routing Switch SNMP\n agent. This version of the Router component is supported in the\n Unisphere RX 4.0 and subsequent system releases.')
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
usd_router_agent_v3 = usdRouterAgentV3.setStatus('current')
mibBuilder.exportSymbols('Unisphere-Data-Router-CONF', usdRouterAgent=usdRouterAgent, usdRouterAgentV1=usdRouterAgentV1, usdRouterAgentV2=usdRouterAgentV2, usdRouterAgentV3=usdRouterAgentV3, PYSNMP_MODULE_ID=usdRouterAgent) |
class StandardScaler:
def __init__(self):
self.mean = []
self.scale = []
self.scale_nonzero = []
def fit(self, features):
self.mean = features.mean(0)
self.scale = features.std(0)
self.scale_nonzero = self.scale != 0
def transform(self, features):
scaled = (features - self.mean)
scaled[:, self.scale_nonzero] /= self.scale[self.scale_nonzero]
return scaled
def fit_transform(self, features):
self.fit(features)
return self.transform(features)
| class Standardscaler:
def __init__(self):
self.mean = []
self.scale = []
self.scale_nonzero = []
def fit(self, features):
self.mean = features.mean(0)
self.scale = features.std(0)
self.scale_nonzero = self.scale != 0
def transform(self, features):
scaled = features - self.mean
scaled[:, self.scale_nonzero] /= self.scale[self.scale_nonzero]
return scaled
def fit_transform(self, features):
self.fit(features)
return self.transform(features) |
class Header:
filename = ""
filesize = 0
class MsgPacket:
username = ""
msg = ""
def parsear(com):
######### The structure of a command is: COMMAND PARAMETER1 PARAMETER2 [...] PARAMETER-N
######### The user can also use "" to simbolize that spaces are considered part of a parameter, like this: COMMAND PARAMETER1 "STRING WITH SPACES AS PARAMETER2" PARAMETER3 [...]
com += " "
acumulador = ""
palabras = []
onsameword = False
for caracter in com:
if caracter == '"':
onsameword = not onsameword
continue
if onsameword: acumulador += caracter
elif caracter != " ": acumulador += caracter
else:
palabras.append(acumulador)
acumulador = ""
return palabras
def parseHeader(packHead):
######### The structure of a header is: <FILENAME|FILESIZE>
retMe = Header()
retMe.filename = ""
infilesize = False
auxcount = 0
auxstring = ""
if packHead[0] != '<':
return retMe
for x in range(1, len(packHead)):
if packHead[x] == '|':
break
retMe.filename += packHead[x]
auxcount = x + 1
if auxcount >= len(packHead):
return retMe
if packHead[auxcount] != '|':
return retMe
for r in range(auxcount+1, len(packHead)):
if packHead[r] == '>': break
auxstring += packHead[r]
retMe.filesize = int(auxstring)
return retMe
def parseMessage(message):
######### The structure of a message is: USERNAME|MESSAGE
retMe = MsgPacket()
inusername = True
for char in message:
if inusername:
if char == "|":
inusername = False
continue
retMe.username += char
else:
retMe.msg += char
return retMe
| class Header:
filename = ''
filesize = 0
class Msgpacket:
username = ''
msg = ''
def parsear(com):
com += ' '
acumulador = ''
palabras = []
onsameword = False
for caracter in com:
if caracter == '"':
onsameword = not onsameword
continue
if onsameword:
acumulador += caracter
elif caracter != ' ':
acumulador += caracter
else:
palabras.append(acumulador)
acumulador = ''
return palabras
def parse_header(packHead):
ret_me = header()
retMe.filename = ''
infilesize = False
auxcount = 0
auxstring = ''
if packHead[0] != '<':
return retMe
for x in range(1, len(packHead)):
if packHead[x] == '|':
break
retMe.filename += packHead[x]
auxcount = x + 1
if auxcount >= len(packHead):
return retMe
if packHead[auxcount] != '|':
return retMe
for r in range(auxcount + 1, len(packHead)):
if packHead[r] == '>':
break
auxstring += packHead[r]
retMe.filesize = int(auxstring)
return retMe
def parse_message(message):
ret_me = msg_packet()
inusername = True
for char in message:
if inusername:
if char == '|':
inusername = False
continue
retMe.username += char
else:
retMe.msg += char
return retMe |
class DatenbankEinstellung(object):
def __init__(self):
self.name = ''
self.beschreibung = ''
self.wert = ''
self.typ = 'Text' #Text, Float, Int oder Bool
self.isUserAdded = True
def __eq__(self, other) :
if self.__class__ != other.__class__: return False
return self.__dict__ == other.__dict__
def toFloat(self):
assert self.typ == 'Float'
return float(self.wert)
def toInt(self):
assert self.typ == 'Int'
return int(self.wert)
def toBool(self):
assert self.typ == 'Bool'
return self.wert.lower() == 'true' or self.wert == '1'
def toText(self):
assert self.typ == 'Text'
return self.wert
def toTextList(self, seperator=',', strip=True):
if not self.toText():
return []
if strip:
return [t.strip() for t in self.toText().split(seperator)]
else:
return self.toText().split(seperator)
def toTextDict(self, seperator=',', strip=True):
list = self.toTextList(seperator, strip)
dict = {}
for el in list:
tmp = el.split("=")
if strip:
dict[tmp[0].strip()] = tmp[1].strip()
else:
dict[tmp[0]] = tmp[1]
return dict | class Datenbankeinstellung(object):
def __init__(self):
self.name = ''
self.beschreibung = ''
self.wert = ''
self.typ = 'Text'
self.isUserAdded = True
def __eq__(self, other):
if self.__class__ != other.__class__:
return False
return self.__dict__ == other.__dict__
def to_float(self):
assert self.typ == 'Float'
return float(self.wert)
def to_int(self):
assert self.typ == 'Int'
return int(self.wert)
def to_bool(self):
assert self.typ == 'Bool'
return self.wert.lower() == 'true' or self.wert == '1'
def to_text(self):
assert self.typ == 'Text'
return self.wert
def to_text_list(self, seperator=',', strip=True):
if not self.toText():
return []
if strip:
return [t.strip() for t in self.toText().split(seperator)]
else:
return self.toText().split(seperator)
def to_text_dict(self, seperator=',', strip=True):
list = self.toTextList(seperator, strip)
dict = {}
for el in list:
tmp = el.split('=')
if strip:
dict[tmp[0].strip()] = tmp[1].strip()
else:
dict[tmp[0]] = tmp[1]
return dict |
array = [9, 2, 3, 6]
result = 2
def find_minimum(arr):
min_value = arr[0]
for x in arr:
if x < min_value:
min_value = x
return min_value
def main():
print("Input: " + str(array))
print("Expected: " + str(result))
print("Output: " + str(find_minimum(array)))
if __name__ == '__main__':
main()
| array = [9, 2, 3, 6]
result = 2
def find_minimum(arr):
min_value = arr[0]
for x in arr:
if x < min_value:
min_value = x
return min_value
def main():
print('Input: ' + str(array))
print('Expected: ' + str(result))
print('Output: ' + str(find_minimum(array)))
if __name__ == '__main__':
main() |
'''Desenvolva um proframa que leia o comprimento de tres retas e diga
ao usuario se elas podem ou nao forma um triangulo'''
print("_-_"*20)
print("analisador de trinagulos")
print("_-_"*20)
comprimento1 = float(input("Digite um comprimento: "))
comprimento2 = float(input("Digite outro comprimento: "))
comprimento3 = float(input("Digite mais um comprimento: "))
if comprimento1 < comprimento2 + comprimento3 and comprimento2 < comprimento1 + comprimento3 and comprimento3 < comprimento2 + comprimento1:
print("\033[1;32mEsses segmentos formam um triangulo!\033[m")
else:
print('\033[4;31mEsses segmentos nao formam um triangulo!\033[m')
| """Desenvolva um proframa que leia o comprimento de tres retas e diga
ao usuario se elas podem ou nao forma um triangulo"""
print('_-_' * 20)
print('analisador de trinagulos')
print('_-_' * 20)
comprimento1 = float(input('Digite um comprimento: '))
comprimento2 = float(input('Digite outro comprimento: '))
comprimento3 = float(input('Digite mais um comprimento: '))
if comprimento1 < comprimento2 + comprimento3 and comprimento2 < comprimento1 + comprimento3 and (comprimento3 < comprimento2 + comprimento1):
print('\x1b[1;32mEsses segmentos formam um triangulo!\x1b[m')
else:
print('\x1b[4;31mEsses segmentos nao formam um triangulo!\x1b[m') |
# some constants used for table naming
TABLE_PREFIX = "tbl_"
UNIFIED_PREFIX = "unified_"
ETSI_PREFIX = "etsi_"
ONEM2M_PREFIX = "onem2m_"
SHELVE_PREFIX = "shelve_"
SHELVE_KEYNAME = "shelve_key"
def create_table_name(table_name, type="default"):
if (type == "unified"):
return TABLE_PREFIX + UNIFIED_PREFIX + table_name
elif (type == "etsi"):
return TABLE_PREFIX + ETSI_PREFIX + table_name
elif (type == "onem2m"):
return TABLE_PREFIX + ONEM2M_PREFIX + table_name
elif (type == "shelve"):
return TABLE_PREFIX + SHELVE_PREFIX + table_name
elif (type == "default"):
return TABLE_PREFIX + table_name | table_prefix = 'tbl_'
unified_prefix = 'unified_'
etsi_prefix = 'etsi_'
onem2_m_prefix = 'onem2m_'
shelve_prefix = 'shelve_'
shelve_keyname = 'shelve_key'
def create_table_name(table_name, type='default'):
if type == 'unified':
return TABLE_PREFIX + UNIFIED_PREFIX + table_name
elif type == 'etsi':
return TABLE_PREFIX + ETSI_PREFIX + table_name
elif type == 'onem2m':
return TABLE_PREFIX + ONEM2M_PREFIX + table_name
elif type == 'shelve':
return TABLE_PREFIX + SHELVE_PREFIX + table_name
elif type == 'default':
return TABLE_PREFIX + table_name |
factors = {
1 :{
2: ("E" ,2) , 3: ("E" ,2) ,7: ("E" ,2) ,11: ("E" ,2) ,18: ("E" ,2) ,19: ("E" ,2) ,20: ("E" ,2) ,22: ("E" ,2) ,
1:("E",1), 6:("E",1) , 21:("E",1) , 23:("E",1), 24:("E",1) , 25:("E",1) ,
15: ("E",0) ,
12: ("I",2), 13: ("I",2), 17: ("I",2),
5: ("I",1), 8: ("I",1), 14: ("I",1), 16: ("I",1),
4: ("I",0) , 9: ("I",0),
26: ("S",2) , 28: ("S",2), 30: ("S",2) , 32: ("S",2) , 33: ("S",2) , 34: ("S",2), 36: ("S",2) , 40: ("S",2),
35 : ("S" , 1), 37 : ("S" , 1) ,38 : ("S" , 1) ,45 : ("S" , 1),
39 : ("S", 0) , 41 : ("S", 0),
29 : ("N" , 2), 44 : ("N" , 2),
27 : ("N" , 1), 31 : ("N" , 1), 42 : ("N" , 1), 43 : ("N" , 1), 46 : ("N" , 1), 47 : ("N" , 1), 49 : ("N" , 1),50 : ("N" , 1),
48 : ("N",0),
54 : ("T",2), 57 : ("T",2), 59 : ("T",2), 61 : ("T",2), 65 : ("T",2), 71 : ("T",2), 74 : ("T",2),
51 : ("T",1), 52 : ("T",1), 56 : ("T",1), 70 : ("T",1), 72 : ("T",1), 73 : ("T",1),
58 : ("T",0), 63 : ("T",0), 69 : ("T",0),
53 : ("F",2), 75 : ("F",2),
55 : ("F",1), 62 : ("F",1), 64 : ("F",1), 66 : ("F",1),
60 : ("F",0), 67 : ("F",0), 68 : ("F",0),
77 : ("J",2), 79 : ("J",2) , 81 : ("J",2), 82 : ("J",2) , 83 : ("J",2), 84 : ("J",2), 85 : ("J",2) ,
76 : ("J",1), 80 : ("J",1), 86 : ("J",1), 87 : ("J",1),
78 : ("P",1)
},
2:{
5:("E",2) , 12:("E",2) , 14:("E",2), 16:("E",2) , 17:("E",2),
4:("E",1), 9:("E",1), 13:("E",1),
8:("E",0),
1:("I",2) , 2:("I",2) , 3:("I",2), 7:("I",2) , 11:("I",2), 19:("I",2) , 20:("I",2) , 23:("I",2), 24:("I",2),
6:("I",1) , 10:("I",1) , 15:("I",1), 18:("I",1) , 21:("I",1), 25:("I",1) ,
22:("I",0) ,
29:("S", 2), 31:("S", 2), 43:("S", 2), 44:("S", 2) , 46:("S", 2) ,
27:("S",1) ,47:("S",1) ,48:("S",1) ,
42:("S",0) ,49:("S",0) ,50:("S",0) ,
26:("N" , 2), 28:("N" , 2), 34:("N" , 2), 36:("N" , 2), 39:("N" , 2), 41:("N" , 2),
30:("N" , 1), 32:("N" , 1), 33:("N" , 1),35:("N" , 1), 37:("N" , 1), 38:("N" , 1), 40:("N" , 1),
45:("N" , 0),
53:("T" , 2), 62:("T" , 2), 66:("T" , 2), 67:("T" , 2), 68:("T" , 2), 75:("T" , 2),
55:("T" , 1), 60:("T" , 1), 64:("T" , 1),
54 : ("F",2), 57 : ("F",2), 58 : ("F",2), 63 : ("F",2), 65 : ("F",2), 69 : ("F",2), 71 : ("F",2), 72 : ("F",2), 73 : ("F",2), 74 : ("F",2),
56 : ("F",1), 70 : ("F",1),
51 : ("F",0), 52 : ("F",0), 59 : ("F",0), 61 : ("F",0),
78 : ("J" , 1),
76 : ("P",2), 77 : ("P",2), 80 : ("P",2), 83 : ("P",2), 84 : ("P",2), 85 : ("P",2), 87 : ("P",2),
79 : ("P",1), 82 : ("P",1), 86 : ("P",1),
81 : ("P",0)
}
}
factors_names = ('E', 'I', 'S', 'N', 'F', 'T', 'P', 'J', 'report')
factors_group = (('E', 'I'), ('S', 'N'), ('F', 'T'), ('P', 'J'))
| factors = {1: {2: ('E', 2), 3: ('E', 2), 7: ('E', 2), 11: ('E', 2), 18: ('E', 2), 19: ('E', 2), 20: ('E', 2), 22: ('E', 2), 1: ('E', 1), 6: ('E', 1), 21: ('E', 1), 23: ('E', 1), 24: ('E', 1), 25: ('E', 1), 15: ('E', 0), 12: ('I', 2), 13: ('I', 2), 17: ('I', 2), 5: ('I', 1), 8: ('I', 1), 14: ('I', 1), 16: ('I', 1), 4: ('I', 0), 9: ('I', 0), 26: ('S', 2), 28: ('S', 2), 30: ('S', 2), 32: ('S', 2), 33: ('S', 2), 34: ('S', 2), 36: ('S', 2), 40: ('S', 2), 35: ('S', 1), 37: ('S', 1), 38: ('S', 1), 45: ('S', 1), 39: ('S', 0), 41: ('S', 0), 29: ('N', 2), 44: ('N', 2), 27: ('N', 1), 31: ('N', 1), 42: ('N', 1), 43: ('N', 1), 46: ('N', 1), 47: ('N', 1), 49: ('N', 1), 50: ('N', 1), 48: ('N', 0), 54: ('T', 2), 57: ('T', 2), 59: ('T', 2), 61: ('T', 2), 65: ('T', 2), 71: ('T', 2), 74: ('T', 2), 51: ('T', 1), 52: ('T', 1), 56: ('T', 1), 70: ('T', 1), 72: ('T', 1), 73: ('T', 1), 58: ('T', 0), 63: ('T', 0), 69: ('T', 0), 53: ('F', 2), 75: ('F', 2), 55: ('F', 1), 62: ('F', 1), 64: ('F', 1), 66: ('F', 1), 60: ('F', 0), 67: ('F', 0), 68: ('F', 0), 77: ('J', 2), 79: ('J', 2), 81: ('J', 2), 82: ('J', 2), 83: ('J', 2), 84: ('J', 2), 85: ('J', 2), 76: ('J', 1), 80: ('J', 1), 86: ('J', 1), 87: ('J', 1), 78: ('P', 1)}, 2: {5: ('E', 2), 12: ('E', 2), 14: ('E', 2), 16: ('E', 2), 17: ('E', 2), 4: ('E', 1), 9: ('E', 1), 13: ('E', 1), 8: ('E', 0), 1: ('I', 2), 2: ('I', 2), 3: ('I', 2), 7: ('I', 2), 11: ('I', 2), 19: ('I', 2), 20: ('I', 2), 23: ('I', 2), 24: ('I', 2), 6: ('I', 1), 10: ('I', 1), 15: ('I', 1), 18: ('I', 1), 21: ('I', 1), 25: ('I', 1), 22: ('I', 0), 29: ('S', 2), 31: ('S', 2), 43: ('S', 2), 44: ('S', 2), 46: ('S', 2), 27: ('S', 1), 47: ('S', 1), 48: ('S', 1), 42: ('S', 0), 49: ('S', 0), 50: ('S', 0), 26: ('N', 2), 28: ('N', 2), 34: ('N', 2), 36: ('N', 2), 39: ('N', 2), 41: ('N', 2), 30: ('N', 1), 32: ('N', 1), 33: ('N', 1), 35: ('N', 1), 37: ('N', 1), 38: ('N', 1), 40: ('N', 1), 45: ('N', 0), 53: ('T', 2), 62: ('T', 2), 66: ('T', 2), 67: ('T', 2), 68: ('T', 2), 75: ('T', 2), 55: ('T', 1), 60: ('T', 1), 64: ('T', 1), 54: ('F', 2), 57: ('F', 2), 58: ('F', 2), 63: ('F', 2), 65: ('F', 2), 69: ('F', 2), 71: ('F', 2), 72: ('F', 2), 73: ('F', 2), 74: ('F', 2), 56: ('F', 1), 70: ('F', 1), 51: ('F', 0), 52: ('F', 0), 59: ('F', 0), 61: ('F', 0), 78: ('J', 1), 76: ('P', 2), 77: ('P', 2), 80: ('P', 2), 83: ('P', 2), 84: ('P', 2), 85: ('P', 2), 87: ('P', 2), 79: ('P', 1), 82: ('P', 1), 86: ('P', 1), 81: ('P', 0)}}
factors_names = ('E', 'I', 'S', 'N', 'F', 'T', 'P', 'J', 'report')
factors_group = (('E', 'I'), ('S', 'N'), ('F', 'T'), ('P', 'J')) |
class RequestsHolder:
def __init__(self):
self.requests = []
def __len__(self):
return len(self.requests)
def pop(self):
return self.requests.pop()
def push(self, request):
self.requests.append(request)
| class Requestsholder:
def __init__(self):
self.requests = []
def __len__(self):
return len(self.requests)
def pop(self):
return self.requests.pop()
def push(self, request):
self.requests.append(request) |
class EnvWrapper(object):
def __init__(self, env):
self.env = env
def __getattr__(self, item):
return getattr(self.env, item)
| class Envwrapper(object):
def __init__(self, env):
self.env = env
def __getattr__(self, item):
return getattr(self.env, item) |
class Calc:
def __init__(self, mensagem):
self.mensagem = mensagem
def soma(num1, num2):
return num1 + num2
def mult(num1, num2):
return num1 * num2
def sub(num1, num2):
return num1 - num2
def div(num1, num2):
return num1 / num2
def mensagem_designP(self):
print(self.mensagem)
def altera_mensagem_designP(self, nova):
self.mensagem = nova
c1 = Calc("Mensagem teste 1!")
| class Calc:
def __init__(self, mensagem):
self.mensagem = mensagem
def soma(num1, num2):
return num1 + num2
def mult(num1, num2):
return num1 * num2
def sub(num1, num2):
return num1 - num2
def div(num1, num2):
return num1 / num2
def mensagem_design_p(self):
print(self.mensagem)
def altera_mensagem_design_p(self, nova):
self.mensagem = nova
c1 = calc('Mensagem teste 1!') |
#
l_numbers = [list(range(1, 101))]
#
r_numbers = range(1, 101)
#
t_key_numbers = (
(1, "one"),
(2, "Two"),
(3, "Three"),
(4, "Four"),
(5, "Five"),
(6, "Six"),
(7, "Seven"),
(8, "Eight"),
(9, "Nine"),
(10, "Ten"),
(11, "Eleven"),
(12, "Twelve"),
(13, "Thirteen"),
(14, "Fourteen"),
(15, "Fifteen"),
(16, "Sixteen")
)
#
t_key_values = (
("ABC", 10.5),
("XYZ", 23.8),
("ABC", 11.2),
("XYZ", 20.3),
("ABC", 10.7),
("XYZ", 25.9),
("ABC", 15.1),
("PQR", 12.7),
("ABC", 12.5),
("PQR", 10.3),
("IJK", 12.5),
("LMN", 15.6)
)
#
t_r_data = [
("James", "Sales", "NY", 90000, 34, 10000),
("Michael", "Sales", "NY", 86000, 56, 20000),
("Robert", "Sales", "CA", 81000, 30, 23000),
("Maria", "Finance", "CA", 90000, 24, 23000),
("Raman", "Finance", "CA", 99000, 40, 24000),
("Scott", "Finance", "NY", 83000, 36, 19000),
("Jen", "Finance", "NY", 79000, 53, 15000),
("Jeff", "Marketing", "CA", 80000, 25, 18000),
("Kumar", "Marketing", "NY", 91000, 50, 21000)
]
# Creating PairRDD student_rdd with key value pairs
t_student_marks = [
("Joseph", "Maths", 83),
("Joseph", "Physics", 74),
("Joseph", "Chemistry", 91),
("Joseph", "Biology", 82),
("Jimmy", "Maths", 69),
("Jimmy", "Physics", 62),
("Jimmy", "Chemistry", 97),
("Jimmy", "Biology", 80),
("Tina", "Maths", 78),
("Tina", "Physics", 73),
("Tina", "Chemistry", 68),
("Tina", "Biology", 87),
("Thomas", "Maths", 87),
("Thomas", "Physics", 93),
("Thomas", "Chemistry", 91),
("Thomas", "Biology", 74),
("Cory", "Maths", 56),
("Cory", "Physics", 65),
("Cory", "Chemistry", 71),
("Cory", "Biology", 68),
("Jackeline", "Maths", 86),
("Jackeline", "Physics", 62),
("Jackeline", "Chemistry", 75),
("Jackeline", "Biology", 83),
("Juan", "Maths", 63),
("Juan", "Physics", 69),
("Juan", "Chemistry", 64),
("Juan", "Biology", 60)
]
#
#
#
structureData = [
(("James", "", "Smith"), "36636", "Sales", 34, "2006-01-01", "true", ["Java", "Scala", "C++"], {'hair': 'black', 'eye': 'brown'}, "M", 3100.50, "OH", "07-01-2019 12 01 19 406"),
(("Michael", "Rose", ""), "40288", "Finance", 25, "2006-01-01", "true", ["Java", "Scala", "C++"], {'hair': 'brown', 'eye': 'brown'}, "M", 4300.65, "CA", "06-24-2019 12 01 19 406"),
(("Robert", "", "Williams"), "42114", "Marketing", 27, "1992-06-23", "false", ["Java", "Scala", "C++"], {'hair': 'black', 'eye': 'black'}, "M", 1400.80, "NJ", "11-16-2019 16 50 59 406"),
(("Maria", "Anne", "Jones"), "39192", "Finance", 19, "1987-05-05", "false", ["Java", "Scala", "C++"], {'hair': 'black', 'eye': 'brown'}, "F", 5500.75, "NY", "11-16-2019 16 50 59 406"),
(("Jen", "Mary", "Brown"), "39191", "Marketing", 24, "1990-01-01", "false", ["Java", "Scala", "C++"], {'hair': 'black', 'eye': 'brown'}, "F", -1, "UT", "11-16-2019 16 50 59 406"),
(("Jeff", "A", "Jones"), "39193", "Finance", 19, "2000-07-17", "false", ["Java", "Scala", "C++"], {'hair': 'black', 'eye': 'brown'}, "F", 5500.75, "CA", "11-16-2019 16 50 59 406"),
(("Robert", "", "Williams"), "42114", "Marketing", 27, "1992-06-23", "false", ["Java", "Scala", "C++"], {'hair': 'black', 'eye': 'brown'}, "M", 1400.80, "NJ", "11-16-2019 16 50 59 406"),
(("James", "", "Smith"), "36636", "Sales", 34, "2006-01-01", "true", ["Java", "Scala", "C++"], {'hair': 'black', 'eye': 'brown'}, "M", 3100.50, "OH", "07-01-2019 12 01 19 406"),
(("Scott", "M", "Brown"), "39194", "Marketing", 24, "1994-10-01", "false", ["Python", "Scala", "C++"], {'hair': 'black', 'eye': 'brown'}, "F", -1, None, "11-16-2019 16 50 59 406")
]
#
#
product_revenue = [
("Thin", "cell phone", 6000),
("Normal", "tablet", 1500),
("Mini", "tablet", 5500),
("Ultra thin", "cell phone", 5000),
("Very thin", "cell phone", 6000),
("Big", "tablet", 2500),
("Bendable", "cell phone", 3000),
("Foldable", "cell phone", 3000),
("Pro", "tablet", 4500),
("Pro2", "tablet", 6500)
] | l_numbers = [list(range(1, 101))]
r_numbers = range(1, 101)
t_key_numbers = ((1, 'one'), (2, 'Two'), (3, 'Three'), (4, 'Four'), (5, 'Five'), (6, 'Six'), (7, 'Seven'), (8, 'Eight'), (9, 'Nine'), (10, 'Ten'), (11, 'Eleven'), (12, 'Twelve'), (13, 'Thirteen'), (14, 'Fourteen'), (15, 'Fifteen'), (16, 'Sixteen'))
t_key_values = (('ABC', 10.5), ('XYZ', 23.8), ('ABC', 11.2), ('XYZ', 20.3), ('ABC', 10.7), ('XYZ', 25.9), ('ABC', 15.1), ('PQR', 12.7), ('ABC', 12.5), ('PQR', 10.3), ('IJK', 12.5), ('LMN', 15.6))
t_r_data = [('James', 'Sales', 'NY', 90000, 34, 10000), ('Michael', 'Sales', 'NY', 86000, 56, 20000), ('Robert', 'Sales', 'CA', 81000, 30, 23000), ('Maria', 'Finance', 'CA', 90000, 24, 23000), ('Raman', 'Finance', 'CA', 99000, 40, 24000), ('Scott', 'Finance', 'NY', 83000, 36, 19000), ('Jen', 'Finance', 'NY', 79000, 53, 15000), ('Jeff', 'Marketing', 'CA', 80000, 25, 18000), ('Kumar', 'Marketing', 'NY', 91000, 50, 21000)]
t_student_marks = [('Joseph', 'Maths', 83), ('Joseph', 'Physics', 74), ('Joseph', 'Chemistry', 91), ('Joseph', 'Biology', 82), ('Jimmy', 'Maths', 69), ('Jimmy', 'Physics', 62), ('Jimmy', 'Chemistry', 97), ('Jimmy', 'Biology', 80), ('Tina', 'Maths', 78), ('Tina', 'Physics', 73), ('Tina', 'Chemistry', 68), ('Tina', 'Biology', 87), ('Thomas', 'Maths', 87), ('Thomas', 'Physics', 93), ('Thomas', 'Chemistry', 91), ('Thomas', 'Biology', 74), ('Cory', 'Maths', 56), ('Cory', 'Physics', 65), ('Cory', 'Chemistry', 71), ('Cory', 'Biology', 68), ('Jackeline', 'Maths', 86), ('Jackeline', 'Physics', 62), ('Jackeline', 'Chemistry', 75), ('Jackeline', 'Biology', 83), ('Juan', 'Maths', 63), ('Juan', 'Physics', 69), ('Juan', 'Chemistry', 64), ('Juan', 'Biology', 60)]
structure_data = [(('James', '', 'Smith'), '36636', 'Sales', 34, '2006-01-01', 'true', ['Java', 'Scala', 'C++'], {'hair': 'black', 'eye': 'brown'}, 'M', 3100.5, 'OH', '07-01-2019 12 01 19 406'), (('Michael', 'Rose', ''), '40288', 'Finance', 25, '2006-01-01', 'true', ['Java', 'Scala', 'C++'], {'hair': 'brown', 'eye': 'brown'}, 'M', 4300.65, 'CA', '06-24-2019 12 01 19 406'), (('Robert', '', 'Williams'), '42114', 'Marketing', 27, '1992-06-23', 'false', ['Java', 'Scala', 'C++'], {'hair': 'black', 'eye': 'black'}, 'M', 1400.8, 'NJ', '11-16-2019 16 50 59 406'), (('Maria', 'Anne', 'Jones'), '39192', 'Finance', 19, '1987-05-05', 'false', ['Java', 'Scala', 'C++'], {'hair': 'black', 'eye': 'brown'}, 'F', 5500.75, 'NY', '11-16-2019 16 50 59 406'), (('Jen', 'Mary', 'Brown'), '39191', 'Marketing', 24, '1990-01-01', 'false', ['Java', 'Scala', 'C++'], {'hair': 'black', 'eye': 'brown'}, 'F', -1, 'UT', '11-16-2019 16 50 59 406'), (('Jeff', 'A', 'Jones'), '39193', 'Finance', 19, '2000-07-17', 'false', ['Java', 'Scala', 'C++'], {'hair': 'black', 'eye': 'brown'}, 'F', 5500.75, 'CA', '11-16-2019 16 50 59 406'), (('Robert', '', 'Williams'), '42114', 'Marketing', 27, '1992-06-23', 'false', ['Java', 'Scala', 'C++'], {'hair': 'black', 'eye': 'brown'}, 'M', 1400.8, 'NJ', '11-16-2019 16 50 59 406'), (('James', '', 'Smith'), '36636', 'Sales', 34, '2006-01-01', 'true', ['Java', 'Scala', 'C++'], {'hair': 'black', 'eye': 'brown'}, 'M', 3100.5, 'OH', '07-01-2019 12 01 19 406'), (('Scott', 'M', 'Brown'), '39194', 'Marketing', 24, '1994-10-01', 'false', ['Python', 'Scala', 'C++'], {'hair': 'black', 'eye': 'brown'}, 'F', -1, None, '11-16-2019 16 50 59 406')]
product_revenue = [('Thin', 'cell phone', 6000), ('Normal', 'tablet', 1500), ('Mini', 'tablet', 5500), ('Ultra thin', 'cell phone', 5000), ('Very thin', 'cell phone', 6000), ('Big', 'tablet', 2500), ('Bendable', 'cell phone', 3000), ('Foldable', 'cell phone', 3000), ('Pro', 'tablet', 4500), ('Pro2', 'tablet', 6500)] |
# minimal configuration, just to be able to run django-admin and create migrations
SECRET_KEY = 'please-dont-use-this-settings-file'
INSTALLED_APPS = (
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
'djmercadopago',
)
MIDDLEWARE_CLASSES = (
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.auth.middleware.SessionAuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
)
| secret_key = 'please-dont-use-this-settings-file'
installed_apps = ('django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'djmercadopago')
middleware_classes = ('django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.auth.middleware.SessionAuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware') |
the_count = [1, 2, 3, 4, 5]
fruits = ['apples', 'oranges' , 'pears' ,'apricots']
change = [1, 'pennies', 2,'dimes',3 ,'quarters']
for number in the_count:
print("This is count %r" %number)
for fruit in fruits:
print("A fruit of type : %r "%fruit)
for i in change:
print("I got %r "%i)
elements = [ ]
for i in range(0, 6):
print("Adding %r to the list."%i)
elements.append(i)
for i in elements:
print("Element was : %r "%i)
| the_count = [1, 2, 3, 4, 5]
fruits = ['apples', 'oranges', 'pears', 'apricots']
change = [1, 'pennies', 2, 'dimes', 3, 'quarters']
for number in the_count:
print('This is count %r' % number)
for fruit in fruits:
print('A fruit of type : %r ' % fruit)
for i in change:
print('I got %r ' % i)
elements = []
for i in range(0, 6):
print('Adding %r to the list.' % i)
elements.append(i)
for i in elements:
print('Element was : %r ' % i) |
class Node:
def __init__(self, value):
self.value = value
self.right = None
self.left = None
class BinaryTree:
def __init__(self):
self.root = None
self.maxVal = 0
def pre_order(self):
output = []
def _walk(node):
output.append(node.value)
if node.left:
_walk(node.left)
if node.right:
_walk(node.right)
_walk(self.root)
return output
def in_order(self):
output = []
def _walk(node):
if node.left:
_walk(node.left)
output.append(node.value)
if node.right:
_walk(node.right)
_walk(self.root)
return output
def post_order(self):
output = []
def _walk(node):
if node.left:
_walk(node.left)
if node.right:
_walk(node.right)
output.append(node.value)
_walk(self.root)
return output
def find_maximum_value(self, tree):
def _walk(node):
if self.maxVal < node.value:
self.maxVal = node.value
if node.left:
_walk(node.left)
if node.right:
_walk(node.right)
_walk(self.root)
return self.maxVal
def breadth_first(self, tree):
temp = []
results = []
if self.root:
temp.append(self.root)
while temp:
node = temp.pop()
results.append(node.value)
if node.left:
temp.append(node.left)
if node.right:
temp.append(node.right)
return results
else:
return 'Empty'
class BinarySearchTree(BinaryTree):
def __init__(self):
self.root = None
self.maxVal = 0
def add(self, value):
if not self.root:
self.root = Node(value)
else:
def _walk(node):
if value < node.value:
# go left
if not node.left:
node.left = Node(value)
return
else:
_walk(node.left)
else:
# go right
if not node.right:
node.right = Node(value)
return
else:
_walk(node.right)
_walk(self.root)
def contains(self, value):
output = []
def _walk(node):
output.append(node.value)
if node.left:
_walk(node.left)
if node.right:
_walk(node.right)
_walk(self.root)
if value in output:
return True
else:
return False
def breadth_first(self, tree):
temp = []
results = []
if self.root:
temp.append(self.root)
while temp:
node = temp.pop()
results.append(node.value)
if node.left:
temp.append(node.left)
if node.right:
temp.append(node.right)
return results
else:
return 'Empty'
def find_maximum_value(self, tree):
def _walk(node):
if self.maxVal < node.value:
self.maxVal = node.value
if node.left:
_walk(node.left)
if node.right:
_walk(node.right)
_walk(self.root)
return self.maxVal
| class Node:
def __init__(self, value):
self.value = value
self.right = None
self.left = None
class Binarytree:
def __init__(self):
self.root = None
self.maxVal = 0
def pre_order(self):
output = []
def _walk(node):
output.append(node.value)
if node.left:
_walk(node.left)
if node.right:
_walk(node.right)
_walk(self.root)
return output
def in_order(self):
output = []
def _walk(node):
if node.left:
_walk(node.left)
output.append(node.value)
if node.right:
_walk(node.right)
_walk(self.root)
return output
def post_order(self):
output = []
def _walk(node):
if node.left:
_walk(node.left)
if node.right:
_walk(node.right)
output.append(node.value)
_walk(self.root)
return output
def find_maximum_value(self, tree):
def _walk(node):
if self.maxVal < node.value:
self.maxVal = node.value
if node.left:
_walk(node.left)
if node.right:
_walk(node.right)
_walk(self.root)
return self.maxVal
def breadth_first(self, tree):
temp = []
results = []
if self.root:
temp.append(self.root)
while temp:
node = temp.pop()
results.append(node.value)
if node.left:
temp.append(node.left)
if node.right:
temp.append(node.right)
return results
else:
return 'Empty'
class Binarysearchtree(BinaryTree):
def __init__(self):
self.root = None
self.maxVal = 0
def add(self, value):
if not self.root:
self.root = node(value)
else:
def _walk(node):
if value < node.value:
if not node.left:
node.left = node(value)
return
else:
_walk(node.left)
elif not node.right:
node.right = node(value)
return
else:
_walk(node.right)
_walk(self.root)
def contains(self, value):
output = []
def _walk(node):
output.append(node.value)
if node.left:
_walk(node.left)
if node.right:
_walk(node.right)
_walk(self.root)
if value in output:
return True
else:
return False
def breadth_first(self, tree):
temp = []
results = []
if self.root:
temp.append(self.root)
while temp:
node = temp.pop()
results.append(node.value)
if node.left:
temp.append(node.left)
if node.right:
temp.append(node.right)
return results
else:
return 'Empty'
def find_maximum_value(self, tree):
def _walk(node):
if self.maxVal < node.value:
self.maxVal = node.value
if node.left:
_walk(node.left)
if node.right:
_walk(node.right)
_walk(self.root)
return self.maxVal |
try:
name=input("Enter file name:")
file=open(fr"C:\Users\Frank\Desktop\GROUP-4\BSE-2021\src\files\{name}","r")
read=file.read()
print(read.upper())
except:
print("File name doesn't exist in current directory") | try:
name = input('Enter file name:')
file = open(f'C:\\Users\\Frank\\Desktop\\GROUP-4\\BSE-2021\\src\\files\\{name}', 'r')
read = file.read()
print(read.upper())
except:
print("File name doesn't exist in current directory") |
class Solution:
def multiply(self, num1: str, num2: str) -> str:
val1, val2 = 0, 0
for i in num1:
val1 = val1 * 10 + int(i)
for i in num2:
val2 = val2 * 10 + int(i)
return str(val1 * val2) | class Solution:
def multiply(self, num1: str, num2: str) -> str:
(val1, val2) = (0, 0)
for i in num1:
val1 = val1 * 10 + int(i)
for i in num2:
val2 = val2 * 10 + int(i)
return str(val1 * val2) |
'''
Week-1: While Exercise -1
In this problem you'll be given a chance to practice writing some while loops.
1. Convert the following into code that uses a while loop.
print 2
prints 4
prints 6
prints 8
prints 10
prints Goodbye!
'''
n = 2
while ( n >= 2 and n <=10):
print(n)
n += 2
print("Goodbye!")
'''
Week1: While Exercise-2
2. Convert the following into code that uses a while loop.
prints Hello!
prints 10
prints 8
prints 6
prints 4
prints 2
'''
n = 10
print ("Hello!")
while n <= 10 and n >= 2:
print (n)
n -= 2
'''
Week1:While exercise-3
3. Write a while loop that sums the values 1 through end, inclusive. end is a variable that we define for you. So, for example, if we define end to be 6, your code should print out the result:
21
which is 1 + 2 + 3 + 4 + 5 + 6.
For problems such as these, do not include input statements or define variables we will provide for you. Our automating testing will provide values so write your code in the following box assuming these variables are already defined.
'''
val1 = 0
val2 = 0
while val1 <= end:
val1 += 1
val2 = val2 + val1
if val1 == end:
print(val2)
| """
Week-1: While Exercise -1
In this problem you'll be given a chance to practice writing some while loops.
1. Convert the following into code that uses a while loop.
print 2
prints 4
prints 6
prints 8
prints 10
prints Goodbye!
"""
n = 2
while n >= 2 and n <= 10:
print(n)
n += 2
print('Goodbye!')
'\nWeek1: While Exercise-2\n2. Convert the following into code that uses a while loop.\n\nprints Hello!\nprints 10\nprints 8\nprints 6\nprints 4\nprints 2\n'
n = 10
print('Hello!')
while n <= 10 and n >= 2:
print(n)
n -= 2
'\nWeek1:While exercise-3\n3. Write a while loop that sums the values 1 through end, inclusive. end is a variable that we define for you. So, for example, if we define end to be 6, your code should print out the result:\n\n21\nwhich is 1 + 2 + 3 + 4 + 5 + 6.\n\nFor problems such as these, do not include input statements or define variables we will provide for you. Our automating testing will provide values so write your code in the following box assuming these variables are already defined.\n\n'
val1 = 0
val2 = 0
while val1 <= end:
val1 += 1
val2 = val2 + val1
if val1 == end:
print(val2) |
name = "John"
def func1():
print(name)
def greet(name: str) -> str:
return f'Hello, {name}'
def main():
name = 'Mike'
print(greet(name))
if __name__ == '__main__':
main()
| name = 'John'
def func1():
print(name)
def greet(name: str) -> str:
return f'Hello, {name}'
def main():
name = 'Mike'
print(greet(name))
if __name__ == '__main__':
main() |
def pytest_addoption(parser):
parser.addoption("--epics", action="store", required=True,
help="The target pysmurf server's epics prefix")
parser.addoption("--config", action="store",
default="/usr/local/src/pysmurf/cfg_files/stanford/"
"experiment_fp30_cc02-03_lbOnlyBay0.cfg",
help="Path to the pysmurf configuration file")
| def pytest_addoption(parser):
parser.addoption('--epics', action='store', required=True, help="The target pysmurf server's epics prefix")
parser.addoption('--config', action='store', default='/usr/local/src/pysmurf/cfg_files/stanford/experiment_fp30_cc02-03_lbOnlyBay0.cfg', help='Path to the pysmurf configuration file') |
class Reader:
def __init__(self, filename):
self.filename = filename
self.data = []
#Case where we are using 8x8
if "8" in self.filename:
with open(self.filename) as f:
for line in f:
digits = line.split(",")
temp_dict = {"data": [int(i) for i in digits[:-1]], "answer": int(digits[-1:][0].strip())}
self.data.append(temp_dict)
#Case where we are using 32x32
if "32" in self.filename:
with open(self.filename) as f:
temp_list = []
for line in f:
if line[0] == ' ':
temp_dict = {"data": temp_list, "answer": int(line[1])}
self.data.append(temp_dict)
temp_list = []
else:
temp_list += [int(i) for i in line.strip()]
def return_data(self):
return self.data
| class Reader:
def __init__(self, filename):
self.filename = filename
self.data = []
if '8' in self.filename:
with open(self.filename) as f:
for line in f:
digits = line.split(',')
temp_dict = {'data': [int(i) for i in digits[:-1]], 'answer': int(digits[-1:][0].strip())}
self.data.append(temp_dict)
if '32' in self.filename:
with open(self.filename) as f:
temp_list = []
for line in f:
if line[0] == ' ':
temp_dict = {'data': temp_list, 'answer': int(line[1])}
self.data.append(temp_dict)
temp_list = []
else:
temp_list += [int(i) for i in line.strip()]
def return_data(self):
return self.data |
#
# PySNMP MIB module CX-IPX-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CX-IPX-MIB
# Produced by pysmi-0.3.4 at Wed May 1 12:32:02 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, SingleValueConstraint, ConstraintsUnion, ConstraintsIntersection, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "SingleValueConstraint", "ConstraintsUnion", "ConstraintsIntersection", "ValueRangeConstraint")
cxIpx, = mibBuilder.importSymbols("CXProduct-SMI", "cxIpx")
NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance")
Counter64, Unsigned32, iso, Counter32, ModuleIdentity, TimeTicks, NotificationType, ObjectIdentity, Gauge32, MibIdentifier, MibScalar, MibTable, MibTableRow, MibTableColumn, Bits, Integer32, IpAddress = mibBuilder.importSymbols("SNMPv2-SMI", "Counter64", "Unsigned32", "iso", "Counter32", "ModuleIdentity", "TimeTicks", "NotificationType", "ObjectIdentity", "Gauge32", "MibIdentifier", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Bits", "Integer32", "IpAddress")
TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString")
ipxStatsTable = MibTable((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2), )
if mibBuilder.loadTexts: ipxStatsTable.setStatus('mandatory')
if mibBuilder.loadTexts: ipxStatsTable.setDescription('Provides a set of statistics for each IPX port. Each row (entry) of the table corresponds to a particular IPX port. Values in this table are read-only.')
ipxStatsEntry = MibTableRow((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1), ).setIndexNames((0, "CX-IPX-MIB", "ipxSysIndex"))
if mibBuilder.loadTexts: ipxStatsEntry.setStatus('mandatory')
if mibBuilder.loadTexts: ipxStatsEntry.setDescription('Provides a set of statistics for a particular IPX port.')
ipxSysIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 1), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ipxSysIndex.setStatus('mandatory')
if mibBuilder.loadTexts: ipxSysIndex.setDescription('Identifies the number of an IPX port. This number is used as an index for this and the cxCfgIpxPortTable. Range of Values: 1 to 34 Default Value: None')
ipxSysInReceives = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 2), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ipxSysInReceives.setStatus('mandatory')
if mibBuilder.loadTexts: ipxSysInReceives.setDescription('Identifies the total number of IPX packets that have been received by this port. The sum includes those received in error. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ipxSysInHdrErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 3), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ipxSysInHdrErrors.setStatus('mandatory')
if mibBuilder.loadTexts: ipxSysInHdrErrors.setDescription('Identifies the number of IPX packets discarded due to errors in their headers. This number includes any IPX packet with a size less than the minimum of 30 bytes. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ipxSysInFiltered = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 4), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ipxSysInFiltered.setStatus('mandatory')
if mibBuilder.loadTexts: ipxSysInFiltered.setDescription('Identifies the number of incoming packets that have been discarded due to filtering. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ipxSysInDiscards = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 5), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ipxSysInDiscards.setStatus('mandatory')
if mibBuilder.loadTexts: ipxSysInDiscards.setDescription('Identifies the number of non-IPX packets received and discarded. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ipxSysForwPackets = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 6), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ipxSysForwPackets.setStatus('mandatory')
if mibBuilder.loadTexts: ipxSysForwPackets.setDescription('Identifies the total number of IPX packets that have been forwarded by the port. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ipxSysOutFiltered = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 7), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ipxSysOutFiltered.setStatus('mandatory')
if mibBuilder.loadTexts: ipxSysOutFiltered.setDescription('Identifies the number of outgoing IPX packets that have been discarded due to filtering. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ipxSysOutDiscards = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 8), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ipxSysOutDiscards.setStatus('mandatory')
if mibBuilder.loadTexts: ipxSysOutDiscards.setDescription('Identifies the number of outgoing IPX packets discarded due to a formatting error. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ipxSysOutPackets = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 9), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ipxSysOutPackets.setStatus('mandatory')
if mibBuilder.loadTexts: ipxSysOutPackets.setDescription('Identifies the total number of IPX packets transmitted by the port. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ipxSysResourceFailures = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 10), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ipxSysResourceFailures.setStatus('mandatory')
if mibBuilder.loadTexts: ipxSysResourceFailures.setDescription('Identifies the number of times the IPX port has been unable to obtain needed resources, such as memory. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ripsapSysRIPIncorrectPackets = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 11), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ripsapSysRIPIncorrectPackets.setStatus('mandatory')
if mibBuilder.loadTexts: ripsapSysRIPIncorrectPackets.setDescription('Identifies the number of times that the Port received an incorrectly formatted RIP packet Range of Values: 0 to 4,x294,x967,x295 Default Value: 0')
ripsapSysSAPIncorrectPackets = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 12), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ripsapSysSAPIncorrectPackets.setStatus('mandatory')
if mibBuilder.loadTexts: ripsapSysSAPIncorrectPackets.setDescription('Identifies the number of times that the IPX port received an incorrectly formatted SAP packet. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ripsapCircRIPOutPackets = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 13), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ripsapCircRIPOutPackets.setStatus('mandatory')
if mibBuilder.loadTexts: ripsapCircRIPOutPackets.setDescription('Identifies the number of RIP packets sent by this IPX port. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ripsapCircRIPInPackets = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 14), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ripsapCircRIPInPackets.setStatus('mandatory')
if mibBuilder.loadTexts: ripsapCircRIPInPackets.setDescription('Identifies the number of RIP packets received by this IPX port. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ripsapCircSAPOutPackets = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 15), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ripsapCircSAPOutPackets.setStatus('mandatory')
if mibBuilder.loadTexts: ripsapCircSAPOutPackets.setDescription('Identifies the number of SAP packets sent by this IPX port Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ripsapCircSAPInPackets = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 16), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ripsapCircSAPInPackets.setStatus('mandatory')
if mibBuilder.loadTexts: ripsapCircSAPInPackets.setDescription('Identifies the number of SAP packets received by this IPX port. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ipxSysWatchReq = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 17), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ipxSysWatchReq.setStatus('mandatory')
if mibBuilder.loadTexts: ipxSysWatchReq.setDescription('Identifies the number of IPX Watchdog Request packets received on this port. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ipxSysWatchRsp = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 18), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ipxSysWatchRsp.setStatus('mandatory')
if mibBuilder.loadTexts: ipxSysWatchRsp.setDescription('Identifies the number of Ipx Watchdog Response packets received on this port. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ipxSysSerRcv = MibTableColumn((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 19), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ipxSysSerRcv.setStatus('mandatory')
if mibBuilder.loadTexts: ipxSysSerRcv.setDescription('Identifies the number of IPX Serialization packets received on this port. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
mibBuilder.exportSymbols("CX-IPX-MIB", ipxSysResourceFailures=ipxSysResourceFailures, ipxStatsEntry=ipxStatsEntry, ripsapSysSAPIncorrectPackets=ripsapSysSAPIncorrectPackets, ipxSysWatchReq=ipxSysWatchReq, ripsapCircRIPOutPackets=ripsapCircRIPOutPackets, ipxSysSerRcv=ipxSysSerRcv, ipxStatsTable=ipxStatsTable, ripsapSysRIPIncorrectPackets=ripsapSysRIPIncorrectPackets, ipxSysInReceives=ipxSysInReceives, ipxSysInDiscards=ipxSysInDiscards, ripsapCircSAPInPackets=ripsapCircSAPInPackets, ipxSysOutPackets=ipxSysOutPackets, ipxSysOutDiscards=ipxSysOutDiscards, ipxSysWatchRsp=ipxSysWatchRsp, ipxSysIndex=ipxSysIndex, ipxSysOutFiltered=ipxSysOutFiltered, ripsapCircRIPInPackets=ripsapCircRIPInPackets, ripsapCircSAPOutPackets=ripsapCircSAPOutPackets, ipxSysInHdrErrors=ipxSysInHdrErrors, ipxSysInFiltered=ipxSysInFiltered, ipxSysForwPackets=ipxSysForwPackets)
| (object_identifier, integer, octet_string) = mibBuilder.importSymbols('ASN1', 'ObjectIdentifier', 'Integer', 'OctetString')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(value_size_constraint, single_value_constraint, constraints_union, constraints_intersection, value_range_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ValueSizeConstraint', 'SingleValueConstraint', 'ConstraintsUnion', 'ConstraintsIntersection', 'ValueRangeConstraint')
(cx_ipx,) = mibBuilder.importSymbols('CXProduct-SMI', 'cxIpx')
(notification_group, module_compliance) = mibBuilder.importSymbols('SNMPv2-CONF', 'NotificationGroup', 'ModuleCompliance')
(counter64, unsigned32, iso, counter32, module_identity, time_ticks, notification_type, object_identity, gauge32, mib_identifier, mib_scalar, mib_table, mib_table_row, mib_table_column, bits, integer32, ip_address) = mibBuilder.importSymbols('SNMPv2-SMI', 'Counter64', 'Unsigned32', 'iso', 'Counter32', 'ModuleIdentity', 'TimeTicks', 'NotificationType', 'ObjectIdentity', 'Gauge32', 'MibIdentifier', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'Bits', 'Integer32', 'IpAddress')
(textual_convention, display_string) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'DisplayString')
ipx_stats_table = mib_table((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2))
if mibBuilder.loadTexts:
ipxStatsTable.setStatus('mandatory')
if mibBuilder.loadTexts:
ipxStatsTable.setDescription('Provides a set of statistics for each IPX port. Each row (entry) of the table corresponds to a particular IPX port. Values in this table are read-only.')
ipx_stats_entry = mib_table_row((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1)).setIndexNames((0, 'CX-IPX-MIB', 'ipxSysIndex'))
if mibBuilder.loadTexts:
ipxStatsEntry.setStatus('mandatory')
if mibBuilder.loadTexts:
ipxStatsEntry.setDescription('Provides a set of statistics for a particular IPX port.')
ipx_sys_index = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 1), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ipxSysIndex.setStatus('mandatory')
if mibBuilder.loadTexts:
ipxSysIndex.setDescription('Identifies the number of an IPX port. This number is used as an index for this and the cxCfgIpxPortTable. Range of Values: 1 to 34 Default Value: None')
ipx_sys_in_receives = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 2), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ipxSysInReceives.setStatus('mandatory')
if mibBuilder.loadTexts:
ipxSysInReceives.setDescription('Identifies the total number of IPX packets that have been received by this port. The sum includes those received in error. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ipx_sys_in_hdr_errors = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 3), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ipxSysInHdrErrors.setStatus('mandatory')
if mibBuilder.loadTexts:
ipxSysInHdrErrors.setDescription('Identifies the number of IPX packets discarded due to errors in their headers. This number includes any IPX packet with a size less than the minimum of 30 bytes. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ipx_sys_in_filtered = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 4), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ipxSysInFiltered.setStatus('mandatory')
if mibBuilder.loadTexts:
ipxSysInFiltered.setDescription('Identifies the number of incoming packets that have been discarded due to filtering. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ipx_sys_in_discards = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 5), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ipxSysInDiscards.setStatus('mandatory')
if mibBuilder.loadTexts:
ipxSysInDiscards.setDescription('Identifies the number of non-IPX packets received and discarded. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ipx_sys_forw_packets = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 6), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ipxSysForwPackets.setStatus('mandatory')
if mibBuilder.loadTexts:
ipxSysForwPackets.setDescription('Identifies the total number of IPX packets that have been forwarded by the port. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ipx_sys_out_filtered = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 7), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ipxSysOutFiltered.setStatus('mandatory')
if mibBuilder.loadTexts:
ipxSysOutFiltered.setDescription('Identifies the number of outgoing IPX packets that have been discarded due to filtering. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ipx_sys_out_discards = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 8), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ipxSysOutDiscards.setStatus('mandatory')
if mibBuilder.loadTexts:
ipxSysOutDiscards.setDescription('Identifies the number of outgoing IPX packets discarded due to a formatting error. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ipx_sys_out_packets = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 9), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ipxSysOutPackets.setStatus('mandatory')
if mibBuilder.loadTexts:
ipxSysOutPackets.setDescription('Identifies the total number of IPX packets transmitted by the port. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ipx_sys_resource_failures = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 10), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ipxSysResourceFailures.setStatus('mandatory')
if mibBuilder.loadTexts:
ipxSysResourceFailures.setDescription('Identifies the number of times the IPX port has been unable to obtain needed resources, such as memory. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ripsap_sys_rip_incorrect_packets = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 11), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ripsapSysRIPIncorrectPackets.setStatus('mandatory')
if mibBuilder.loadTexts:
ripsapSysRIPIncorrectPackets.setDescription('Identifies the number of times that the Port received an incorrectly formatted RIP packet Range of Values: 0 to 4,x294,x967,x295 Default Value: 0')
ripsap_sys_sap_incorrect_packets = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 12), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ripsapSysSAPIncorrectPackets.setStatus('mandatory')
if mibBuilder.loadTexts:
ripsapSysSAPIncorrectPackets.setDescription('Identifies the number of times that the IPX port received an incorrectly formatted SAP packet. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ripsap_circ_rip_out_packets = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 13), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ripsapCircRIPOutPackets.setStatus('mandatory')
if mibBuilder.loadTexts:
ripsapCircRIPOutPackets.setDescription('Identifies the number of RIP packets sent by this IPX port. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ripsap_circ_rip_in_packets = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 14), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ripsapCircRIPInPackets.setStatus('mandatory')
if mibBuilder.loadTexts:
ripsapCircRIPInPackets.setDescription('Identifies the number of RIP packets received by this IPX port. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ripsap_circ_sap_out_packets = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 15), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ripsapCircSAPOutPackets.setStatus('mandatory')
if mibBuilder.loadTexts:
ripsapCircSAPOutPackets.setDescription('Identifies the number of SAP packets sent by this IPX port Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ripsap_circ_sap_in_packets = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 16), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ripsapCircSAPInPackets.setStatus('mandatory')
if mibBuilder.loadTexts:
ripsapCircSAPInPackets.setDescription('Identifies the number of SAP packets received by this IPX port. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ipx_sys_watch_req = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 17), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ipxSysWatchReq.setStatus('mandatory')
if mibBuilder.loadTexts:
ipxSysWatchReq.setDescription('Identifies the number of IPX Watchdog Request packets received on this port. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ipx_sys_watch_rsp = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 18), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ipxSysWatchRsp.setStatus('mandatory')
if mibBuilder.loadTexts:
ipxSysWatchRsp.setDescription('Identifies the number of Ipx Watchdog Response packets received on this port. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
ipx_sys_ser_rcv = mib_table_column((1, 3, 6, 1, 4, 1, 495, 2, 1, 6, 13, 2, 1, 19), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ipxSysSerRcv.setStatus('mandatory')
if mibBuilder.loadTexts:
ipxSysSerRcv.setDescription('Identifies the number of IPX Serialization packets received on this port. Range of Values: 0 to 4, 294, 967, 295 Default Value: 0')
mibBuilder.exportSymbols('CX-IPX-MIB', ipxSysResourceFailures=ipxSysResourceFailures, ipxStatsEntry=ipxStatsEntry, ripsapSysSAPIncorrectPackets=ripsapSysSAPIncorrectPackets, ipxSysWatchReq=ipxSysWatchReq, ripsapCircRIPOutPackets=ripsapCircRIPOutPackets, ipxSysSerRcv=ipxSysSerRcv, ipxStatsTable=ipxStatsTable, ripsapSysRIPIncorrectPackets=ripsapSysRIPIncorrectPackets, ipxSysInReceives=ipxSysInReceives, ipxSysInDiscards=ipxSysInDiscards, ripsapCircSAPInPackets=ripsapCircSAPInPackets, ipxSysOutPackets=ipxSysOutPackets, ipxSysOutDiscards=ipxSysOutDiscards, ipxSysWatchRsp=ipxSysWatchRsp, ipxSysIndex=ipxSysIndex, ipxSysOutFiltered=ipxSysOutFiltered, ripsapCircRIPInPackets=ripsapCircRIPInPackets, ripsapCircSAPOutPackets=ripsapCircSAPOutPackets, ipxSysInHdrErrors=ipxSysInHdrErrors, ipxSysInFiltered=ipxSysInFiltered, ipxSysForwPackets=ipxSysForwPackets) |
# coding=utf-8
# *** WARNING: this file was generated by crd2pulumi. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
SNAKE_TO_CAMEL_CASE_TABLE = {
"additional_annotations": "additionalAnnotations",
"additional_labels": "additionalLabels",
"admission_controller": "admissionController",
"allow_privilege_escalation": "allowPrivilegeEscalation",
"api_key": "apiKey",
"api_key_existing_secret": "apiKeyExistingSecret",
"api_secret": "apiSecret",
"api_version": "apiVersion",
"app_armor_profile_name": "appArmorProfileName",
"app_key": "appKey",
"app_key_existing_secret": "appKeyExistingSecret",
"app_secret": "appSecret",
"autoscaler_references": "autoscalerReferences",
"available_replicas": "availableReplicas",
"aws_elastic_block_store": "awsElasticBlockStore",
"azure_disk": "azureDisk",
"azure_file": "azureFile",
"bpf_debug_enabled": "bpfDebugEnabled",
"caching_mode": "cachingMode",
"chap_auth_discovery": "chapAuthDiscovery",
"chap_auth_session": "chapAuthSession",
"check_interval": "checkInterval",
"claim_name": "claimName",
"cluster_agent": "clusterAgent",
"cluster_checks_enabled": "clusterChecksEnabled",
"cluster_checks_runner": "clusterChecksRunner",
"cluster_name": "clusterName",
"collect_dns_stats": "collectDNSStats",
"collect_events": "collectEvents",
"config_data": "configData",
"config_dir": "configDir",
"config_map": "configMap",
"config_map_key_ref": "configMapKeyRef",
"config_map_name": "configMapName",
"conntrack_enabled": "conntrackEnabled",
"container_collect_using_files": "containerCollectUsingFiles",
"container_logs_path": "containerLogsPath",
"container_name": "containerName",
"cri_socket": "criSocket",
"cri_socket_path": "criSocketPath",
"current_hash": "currentHash",
"current_value": "currentValue",
"custom_config": "customConfig",
"daemonset_name": "daemonsetName",
"dataset_name": "datasetName",
"dataset_uuid": "datasetUUID",
"dd_url": "ddUrl",
"debug_port": "debugPort",
"default_mode": "defaultMode",
"deployment_name": "deploymentName",
"deployment_strategy": "deploymentStrategy",
"disk_name": "diskName",
"disk_uri": "diskURI",
"dns_config": "dnsConfig",
"dns_policy": "dnsPolicy",
"docker_socket_path": "dockerSocketPath",
"dogstatsd_origin_detection": "dogstatsdOriginDetection",
"downward_api": "downwardAPI",
"empty_dir": "emptyDir",
"enable_oom_kill": "enableOOMKill",
"enable_tcp_queue_length": "enableTCPQueueLength",
"expiration_seconds": "expirationSeconds",
"external_metric_name": "externalMetricName",
"external_metrics": "externalMetrics",
"field_path": "fieldPath",
"field_ref": "fieldRef",
"file_key": "fileKey",
"flex_volume": "flexVolume",
"fs_group": "fsGroup",
"fs_group_change_policy": "fsGroupChangePolicy",
"fs_type": "fsType",
"gce_persistent_disk": "gcePersistentDisk",
"generated_token": "generatedToken",
"git_repo": "gitRepo",
"gmsa_credential_spec": "gmsaCredentialSpec",
"gmsa_credential_spec_name": "gmsaCredentialSpecName",
"host_network": "hostNetwork",
"host_path": "hostPath",
"host_pid": "hostPID",
"host_port": "hostPort",
"initiator_name": "initiatorName",
"iscsi_interface": "iscsiInterface",
"key_name": "keyName",
"label_selector": "labelSelector",
"last_transition_time": "lastTransitionTime",
"last_update": "lastUpdate",
"last_update_time": "lastUpdateTime",
"leader_election": "leaderElection",
"log_level": "logLevel",
"logs_config_container_collect_all": "logsConfigContainerCollectAll",
"match_expressions": "matchExpressions",
"match_fields": "matchFields",
"match_labels": "matchLabels",
"max_parallel_pod_creation": "maxParallelPodCreation",
"max_pod_scheduler_failure": "maxPodSchedulerFailure",
"max_unavailable": "maxUnavailable",
"mount_path": "mountPath",
"mount_propagation": "mountPropagation",
"mutate_unlabelled": "mutateUnlabelled",
"network_policy": "networkPolicy",
"node_affinity": "nodeAffinity",
"node_anti_affinity_keys": "nodeAntiAffinityKeys",
"node_publish_secret_ref": "nodePublishSecretRef",
"node_selector": "nodeSelector",
"node_selector_terms": "nodeSelectorTerms",
"open_files_limit": "openFilesLimit",
"pd_id": "pdID",
"pd_name": "pdName",
"persistent_volume_claim": "persistentVolumeClaim",
"photon_persistent_disk": "photonPersistentDisk",
"pod_affinity": "podAffinity",
"pod_affinity_term": "podAffinityTerm",
"pod_annotations_as_tags": "podAnnotationsAsTags",
"pod_anti_affinity": "podAntiAffinity",
"pod_labels_as_tags": "podLabelsAsTags",
"pod_logs_path": "podLogsPath",
"policies_dir": "policiesDir",
"portworx_volume": "portworxVolume",
"preferred_during_scheduling_ignored_during_execution": "preferredDuringSchedulingIgnoredDuringExecution",
"priority_class_name": "priorityClassName",
"proc_mount": "procMount",
"protection_domain": "protectionDomain",
"pull_policy": "pullPolicy",
"pull_secrets": "pullSecrets",
"read_only": "readOnly",
"read_only_root_filesystem": "readOnlyRootFilesystem",
"ready_replicas": "readyReplicas",
"reconcile_frequency": "reconcileFrequency",
"required_during_scheduling_ignored_during_execution": "requiredDuringSchedulingIgnoredDuringExecution",
"resource_field_ref": "resourceFieldRef",
"rolling_update": "rollingUpdate",
"run_as_group": "runAsGroup",
"run_as_non_root": "runAsNonRoot",
"run_as_user": "runAsUser",
"run_as_user_name": "runAsUserName",
"scale_io": "scaleIO",
"se_linux_options": "seLinuxOptions",
"sec_comp_custom_profile_config_map": "secCompCustomProfileConfigMap",
"sec_comp_profile_name": "secCompProfileName",
"sec_comp_root_path": "secCompRootPath",
"secret_file": "secretFile",
"secret_key_ref": "secretKeyRef",
"secret_name": "secretName",
"secret_ref": "secretRef",
"security_context": "securityContext",
"service_account_name": "serviceAccountName",
"service_account_token": "serviceAccountToken",
"service_name": "serviceName",
"share_name": "shareName",
"size_limit": "sizeLimit",
"slow_start_additive_increase": "slowStartAdditiveIncrease",
"slow_start_interval_duration": "slowStartIntervalDuration",
"ssl_enabled": "sslEnabled",
"storage_mode": "storageMode",
"storage_policy_id": "storagePolicyID",
"storage_policy_name": "storagePolicyName",
"storage_pool": "storagePool",
"sub_path": "subPath",
"sub_path_expr": "subPathExpr",
"supplemental_groups": "supplementalGroups",
"syscall_monitor": "syscallMonitor",
"system_probe": "systemProbe",
"target_portal": "targetPortal",
"target_ww_ns": "targetWWNs",
"temp_storage_path": "tempStoragePath",
"toleration_seconds": "tolerationSeconds",
"topology_key": "topologyKey",
"unavailable_replicas": "unavailableReplicas",
"up_to_date": "upToDate",
"update_strategy_type": "updateStrategyType",
"updated_replicas": "updatedReplicas",
"use_datadog_metrics": "useDatadogMetrics",
"use_dog_stats_d_socket_volume": "useDogStatsDSocketVolume",
"use_extended_daemonset": "useExtendedDaemonset",
"use_secret_backend": "useSecretBackend",
"value_from": "valueFrom",
"volume_attributes": "volumeAttributes",
"volume_id": "volumeID",
"volume_mounts": "volumeMounts",
"volume_name": "volumeName",
"volume_namespace": "volumeNamespace",
"volume_path": "volumePath",
"vsphere_volume": "vsphereVolume",
"windows_options": "windowsOptions",
"wpa_controller": "wpaController",
}
CAMEL_TO_SNAKE_CASE_TABLE = {
"additionalAnnotations": "additional_annotations",
"additionalLabels": "additional_labels",
"admissionController": "admission_controller",
"allowPrivilegeEscalation": "allow_privilege_escalation",
"apiKey": "api_key",
"apiKeyExistingSecret": "api_key_existing_secret",
"apiSecret": "api_secret",
"apiVersion": "api_version",
"appArmorProfileName": "app_armor_profile_name",
"appKey": "app_key",
"appKeyExistingSecret": "app_key_existing_secret",
"appSecret": "app_secret",
"autoscalerReferences": "autoscaler_references",
"availableReplicas": "available_replicas",
"awsElasticBlockStore": "aws_elastic_block_store",
"azureDisk": "azure_disk",
"azureFile": "azure_file",
"bpfDebugEnabled": "bpf_debug_enabled",
"cachingMode": "caching_mode",
"chapAuthDiscovery": "chap_auth_discovery",
"chapAuthSession": "chap_auth_session",
"checkInterval": "check_interval",
"claimName": "claim_name",
"clusterAgent": "cluster_agent",
"clusterChecksEnabled": "cluster_checks_enabled",
"clusterChecksRunner": "cluster_checks_runner",
"clusterName": "cluster_name",
"collectDNSStats": "collect_dns_stats",
"collectEvents": "collect_events",
"configData": "config_data",
"configDir": "config_dir",
"configMap": "config_map",
"configMapKeyRef": "config_map_key_ref",
"configMapName": "config_map_name",
"conntrackEnabled": "conntrack_enabled",
"containerCollectUsingFiles": "container_collect_using_files",
"containerLogsPath": "container_logs_path",
"containerName": "container_name",
"criSocket": "cri_socket",
"criSocketPath": "cri_socket_path",
"currentHash": "current_hash",
"currentValue": "current_value",
"customConfig": "custom_config",
"daemonsetName": "daemonset_name",
"datasetName": "dataset_name",
"datasetUUID": "dataset_uuid",
"ddUrl": "dd_url",
"debugPort": "debug_port",
"defaultMode": "default_mode",
"deploymentName": "deployment_name",
"deploymentStrategy": "deployment_strategy",
"diskName": "disk_name",
"diskURI": "disk_uri",
"dnsConfig": "dns_config",
"dnsPolicy": "dns_policy",
"dockerSocketPath": "docker_socket_path",
"dogstatsdOriginDetection": "dogstatsd_origin_detection",
"downwardAPI": "downward_api",
"emptyDir": "empty_dir",
"enableOOMKill": "enable_oom_kill",
"enableTCPQueueLength": "enable_tcp_queue_length",
"expirationSeconds": "expiration_seconds",
"externalMetricName": "external_metric_name",
"externalMetrics": "external_metrics",
"fieldPath": "field_path",
"fieldRef": "field_ref",
"fileKey": "file_key",
"flexVolume": "flex_volume",
"fsGroup": "fs_group",
"fsGroupChangePolicy": "fs_group_change_policy",
"fsType": "fs_type",
"gcePersistentDisk": "gce_persistent_disk",
"generatedToken": "generated_token",
"gitRepo": "git_repo",
"gmsaCredentialSpec": "gmsa_credential_spec",
"gmsaCredentialSpecName": "gmsa_credential_spec_name",
"hostNetwork": "host_network",
"hostPath": "host_path",
"hostPID": "host_pid",
"hostPort": "host_port",
"initiatorName": "initiator_name",
"iscsiInterface": "iscsi_interface",
"keyName": "key_name",
"labelSelector": "label_selector",
"lastTransitionTime": "last_transition_time",
"lastUpdate": "last_update",
"lastUpdateTime": "last_update_time",
"leaderElection": "leader_election",
"logLevel": "log_level",
"logsConfigContainerCollectAll": "logs_config_container_collect_all",
"matchExpressions": "match_expressions",
"matchFields": "match_fields",
"matchLabels": "match_labels",
"maxParallelPodCreation": "max_parallel_pod_creation",
"maxPodSchedulerFailure": "max_pod_scheduler_failure",
"maxUnavailable": "max_unavailable",
"mountPath": "mount_path",
"mountPropagation": "mount_propagation",
"mutateUnlabelled": "mutate_unlabelled",
"networkPolicy": "network_policy",
"nodeAffinity": "node_affinity",
"nodeAntiAffinityKeys": "node_anti_affinity_keys",
"nodePublishSecretRef": "node_publish_secret_ref",
"nodeSelector": "node_selector",
"nodeSelectorTerms": "node_selector_terms",
"openFilesLimit": "open_files_limit",
"pdID": "pd_id",
"pdName": "pd_name",
"persistentVolumeClaim": "persistent_volume_claim",
"photonPersistentDisk": "photon_persistent_disk",
"podAffinity": "pod_affinity",
"podAffinityTerm": "pod_affinity_term",
"podAnnotationsAsTags": "pod_annotations_as_tags",
"podAntiAffinity": "pod_anti_affinity",
"podLabelsAsTags": "pod_labels_as_tags",
"podLogsPath": "pod_logs_path",
"policiesDir": "policies_dir",
"portworxVolume": "portworx_volume",
"preferredDuringSchedulingIgnoredDuringExecution": "preferred_during_scheduling_ignored_during_execution",
"priorityClassName": "priority_class_name",
"procMount": "proc_mount",
"protectionDomain": "protection_domain",
"pullPolicy": "pull_policy",
"pullSecrets": "pull_secrets",
"readOnly": "read_only",
"readOnlyRootFilesystem": "read_only_root_filesystem",
"readyReplicas": "ready_replicas",
"reconcileFrequency": "reconcile_frequency",
"requiredDuringSchedulingIgnoredDuringExecution": "required_during_scheduling_ignored_during_execution",
"resourceFieldRef": "resource_field_ref",
"rollingUpdate": "rolling_update",
"runAsGroup": "run_as_group",
"runAsNonRoot": "run_as_non_root",
"runAsUser": "run_as_user",
"runAsUserName": "run_as_user_name",
"scaleIO": "scale_io",
"seLinuxOptions": "se_linux_options",
"secCompCustomProfileConfigMap": "sec_comp_custom_profile_config_map",
"secCompProfileName": "sec_comp_profile_name",
"secCompRootPath": "sec_comp_root_path",
"secretFile": "secret_file",
"secretKeyRef": "secret_key_ref",
"secretName": "secret_name",
"secretRef": "secret_ref",
"securityContext": "security_context",
"serviceAccountName": "service_account_name",
"serviceAccountToken": "service_account_token",
"serviceName": "service_name",
"shareName": "share_name",
"sizeLimit": "size_limit",
"slowStartAdditiveIncrease": "slow_start_additive_increase",
"slowStartIntervalDuration": "slow_start_interval_duration",
"sslEnabled": "ssl_enabled",
"storageMode": "storage_mode",
"storagePolicyID": "storage_policy_id",
"storagePolicyName": "storage_policy_name",
"storagePool": "storage_pool",
"subPath": "sub_path",
"subPathExpr": "sub_path_expr",
"supplementalGroups": "supplemental_groups",
"syscallMonitor": "syscall_monitor",
"systemProbe": "system_probe",
"targetPortal": "target_portal",
"targetWWNs": "target_ww_ns",
"tempStoragePath": "temp_storage_path",
"tolerationSeconds": "toleration_seconds",
"topologyKey": "topology_key",
"unavailableReplicas": "unavailable_replicas",
"upToDate": "up_to_date",
"updateStrategyType": "update_strategy_type",
"updatedReplicas": "updated_replicas",
"useDatadogMetrics": "use_datadog_metrics",
"useDogStatsDSocketVolume": "use_dog_stats_d_socket_volume",
"useExtendedDaemonset": "use_extended_daemonset",
"useSecretBackend": "use_secret_backend",
"valueFrom": "value_from",
"volumeAttributes": "volume_attributes",
"volumeID": "volume_id",
"volumeMounts": "volume_mounts",
"volumeName": "volume_name",
"volumeNamespace": "volume_namespace",
"volumePath": "volume_path",
"vsphereVolume": "vsphere_volume",
"windowsOptions": "windows_options",
"wpaController": "wpa_controller",
}
| snake_to_camel_case_table = {'additional_annotations': 'additionalAnnotations', 'additional_labels': 'additionalLabels', 'admission_controller': 'admissionController', 'allow_privilege_escalation': 'allowPrivilegeEscalation', 'api_key': 'apiKey', 'api_key_existing_secret': 'apiKeyExistingSecret', 'api_secret': 'apiSecret', 'api_version': 'apiVersion', 'app_armor_profile_name': 'appArmorProfileName', 'app_key': 'appKey', 'app_key_existing_secret': 'appKeyExistingSecret', 'app_secret': 'appSecret', 'autoscaler_references': 'autoscalerReferences', 'available_replicas': 'availableReplicas', 'aws_elastic_block_store': 'awsElasticBlockStore', 'azure_disk': 'azureDisk', 'azure_file': 'azureFile', 'bpf_debug_enabled': 'bpfDebugEnabled', 'caching_mode': 'cachingMode', 'chap_auth_discovery': 'chapAuthDiscovery', 'chap_auth_session': 'chapAuthSession', 'check_interval': 'checkInterval', 'claim_name': 'claimName', 'cluster_agent': 'clusterAgent', 'cluster_checks_enabled': 'clusterChecksEnabled', 'cluster_checks_runner': 'clusterChecksRunner', 'cluster_name': 'clusterName', 'collect_dns_stats': 'collectDNSStats', 'collect_events': 'collectEvents', 'config_data': 'configData', 'config_dir': 'configDir', 'config_map': 'configMap', 'config_map_key_ref': 'configMapKeyRef', 'config_map_name': 'configMapName', 'conntrack_enabled': 'conntrackEnabled', 'container_collect_using_files': 'containerCollectUsingFiles', 'container_logs_path': 'containerLogsPath', 'container_name': 'containerName', 'cri_socket': 'criSocket', 'cri_socket_path': 'criSocketPath', 'current_hash': 'currentHash', 'current_value': 'currentValue', 'custom_config': 'customConfig', 'daemonset_name': 'daemonsetName', 'dataset_name': 'datasetName', 'dataset_uuid': 'datasetUUID', 'dd_url': 'ddUrl', 'debug_port': 'debugPort', 'default_mode': 'defaultMode', 'deployment_name': 'deploymentName', 'deployment_strategy': 'deploymentStrategy', 'disk_name': 'diskName', 'disk_uri': 'diskURI', 'dns_config': 'dnsConfig', 'dns_policy': 'dnsPolicy', 'docker_socket_path': 'dockerSocketPath', 'dogstatsd_origin_detection': 'dogstatsdOriginDetection', 'downward_api': 'downwardAPI', 'empty_dir': 'emptyDir', 'enable_oom_kill': 'enableOOMKill', 'enable_tcp_queue_length': 'enableTCPQueueLength', 'expiration_seconds': 'expirationSeconds', 'external_metric_name': 'externalMetricName', 'external_metrics': 'externalMetrics', 'field_path': 'fieldPath', 'field_ref': 'fieldRef', 'file_key': 'fileKey', 'flex_volume': 'flexVolume', 'fs_group': 'fsGroup', 'fs_group_change_policy': 'fsGroupChangePolicy', 'fs_type': 'fsType', 'gce_persistent_disk': 'gcePersistentDisk', 'generated_token': 'generatedToken', 'git_repo': 'gitRepo', 'gmsa_credential_spec': 'gmsaCredentialSpec', 'gmsa_credential_spec_name': 'gmsaCredentialSpecName', 'host_network': 'hostNetwork', 'host_path': 'hostPath', 'host_pid': 'hostPID', 'host_port': 'hostPort', 'initiator_name': 'initiatorName', 'iscsi_interface': 'iscsiInterface', 'key_name': 'keyName', 'label_selector': 'labelSelector', 'last_transition_time': 'lastTransitionTime', 'last_update': 'lastUpdate', 'last_update_time': 'lastUpdateTime', 'leader_election': 'leaderElection', 'log_level': 'logLevel', 'logs_config_container_collect_all': 'logsConfigContainerCollectAll', 'match_expressions': 'matchExpressions', 'match_fields': 'matchFields', 'match_labels': 'matchLabels', 'max_parallel_pod_creation': 'maxParallelPodCreation', 'max_pod_scheduler_failure': 'maxPodSchedulerFailure', 'max_unavailable': 'maxUnavailable', 'mount_path': 'mountPath', 'mount_propagation': 'mountPropagation', 'mutate_unlabelled': 'mutateUnlabelled', 'network_policy': 'networkPolicy', 'node_affinity': 'nodeAffinity', 'node_anti_affinity_keys': 'nodeAntiAffinityKeys', 'node_publish_secret_ref': 'nodePublishSecretRef', 'node_selector': 'nodeSelector', 'node_selector_terms': 'nodeSelectorTerms', 'open_files_limit': 'openFilesLimit', 'pd_id': 'pdID', 'pd_name': 'pdName', 'persistent_volume_claim': 'persistentVolumeClaim', 'photon_persistent_disk': 'photonPersistentDisk', 'pod_affinity': 'podAffinity', 'pod_affinity_term': 'podAffinityTerm', 'pod_annotations_as_tags': 'podAnnotationsAsTags', 'pod_anti_affinity': 'podAntiAffinity', 'pod_labels_as_tags': 'podLabelsAsTags', 'pod_logs_path': 'podLogsPath', 'policies_dir': 'policiesDir', 'portworx_volume': 'portworxVolume', 'preferred_during_scheduling_ignored_during_execution': 'preferredDuringSchedulingIgnoredDuringExecution', 'priority_class_name': 'priorityClassName', 'proc_mount': 'procMount', 'protection_domain': 'protectionDomain', 'pull_policy': 'pullPolicy', 'pull_secrets': 'pullSecrets', 'read_only': 'readOnly', 'read_only_root_filesystem': 'readOnlyRootFilesystem', 'ready_replicas': 'readyReplicas', 'reconcile_frequency': 'reconcileFrequency', 'required_during_scheduling_ignored_during_execution': 'requiredDuringSchedulingIgnoredDuringExecution', 'resource_field_ref': 'resourceFieldRef', 'rolling_update': 'rollingUpdate', 'run_as_group': 'runAsGroup', 'run_as_non_root': 'runAsNonRoot', 'run_as_user': 'runAsUser', 'run_as_user_name': 'runAsUserName', 'scale_io': 'scaleIO', 'se_linux_options': 'seLinuxOptions', 'sec_comp_custom_profile_config_map': 'secCompCustomProfileConfigMap', 'sec_comp_profile_name': 'secCompProfileName', 'sec_comp_root_path': 'secCompRootPath', 'secret_file': 'secretFile', 'secret_key_ref': 'secretKeyRef', 'secret_name': 'secretName', 'secret_ref': 'secretRef', 'security_context': 'securityContext', 'service_account_name': 'serviceAccountName', 'service_account_token': 'serviceAccountToken', 'service_name': 'serviceName', 'share_name': 'shareName', 'size_limit': 'sizeLimit', 'slow_start_additive_increase': 'slowStartAdditiveIncrease', 'slow_start_interval_duration': 'slowStartIntervalDuration', 'ssl_enabled': 'sslEnabled', 'storage_mode': 'storageMode', 'storage_policy_id': 'storagePolicyID', 'storage_policy_name': 'storagePolicyName', 'storage_pool': 'storagePool', 'sub_path': 'subPath', 'sub_path_expr': 'subPathExpr', 'supplemental_groups': 'supplementalGroups', 'syscall_monitor': 'syscallMonitor', 'system_probe': 'systemProbe', 'target_portal': 'targetPortal', 'target_ww_ns': 'targetWWNs', 'temp_storage_path': 'tempStoragePath', 'toleration_seconds': 'tolerationSeconds', 'topology_key': 'topologyKey', 'unavailable_replicas': 'unavailableReplicas', 'up_to_date': 'upToDate', 'update_strategy_type': 'updateStrategyType', 'updated_replicas': 'updatedReplicas', 'use_datadog_metrics': 'useDatadogMetrics', 'use_dog_stats_d_socket_volume': 'useDogStatsDSocketVolume', 'use_extended_daemonset': 'useExtendedDaemonset', 'use_secret_backend': 'useSecretBackend', 'value_from': 'valueFrom', 'volume_attributes': 'volumeAttributes', 'volume_id': 'volumeID', 'volume_mounts': 'volumeMounts', 'volume_name': 'volumeName', 'volume_namespace': 'volumeNamespace', 'volume_path': 'volumePath', 'vsphere_volume': 'vsphereVolume', 'windows_options': 'windowsOptions', 'wpa_controller': 'wpaController'}
camel_to_snake_case_table = {'additionalAnnotations': 'additional_annotations', 'additionalLabels': 'additional_labels', 'admissionController': 'admission_controller', 'allowPrivilegeEscalation': 'allow_privilege_escalation', 'apiKey': 'api_key', 'apiKeyExistingSecret': 'api_key_existing_secret', 'apiSecret': 'api_secret', 'apiVersion': 'api_version', 'appArmorProfileName': 'app_armor_profile_name', 'appKey': 'app_key', 'appKeyExistingSecret': 'app_key_existing_secret', 'appSecret': 'app_secret', 'autoscalerReferences': 'autoscaler_references', 'availableReplicas': 'available_replicas', 'awsElasticBlockStore': 'aws_elastic_block_store', 'azureDisk': 'azure_disk', 'azureFile': 'azure_file', 'bpfDebugEnabled': 'bpf_debug_enabled', 'cachingMode': 'caching_mode', 'chapAuthDiscovery': 'chap_auth_discovery', 'chapAuthSession': 'chap_auth_session', 'checkInterval': 'check_interval', 'claimName': 'claim_name', 'clusterAgent': 'cluster_agent', 'clusterChecksEnabled': 'cluster_checks_enabled', 'clusterChecksRunner': 'cluster_checks_runner', 'clusterName': 'cluster_name', 'collectDNSStats': 'collect_dns_stats', 'collectEvents': 'collect_events', 'configData': 'config_data', 'configDir': 'config_dir', 'configMap': 'config_map', 'configMapKeyRef': 'config_map_key_ref', 'configMapName': 'config_map_name', 'conntrackEnabled': 'conntrack_enabled', 'containerCollectUsingFiles': 'container_collect_using_files', 'containerLogsPath': 'container_logs_path', 'containerName': 'container_name', 'criSocket': 'cri_socket', 'criSocketPath': 'cri_socket_path', 'currentHash': 'current_hash', 'currentValue': 'current_value', 'customConfig': 'custom_config', 'daemonsetName': 'daemonset_name', 'datasetName': 'dataset_name', 'datasetUUID': 'dataset_uuid', 'ddUrl': 'dd_url', 'debugPort': 'debug_port', 'defaultMode': 'default_mode', 'deploymentName': 'deployment_name', 'deploymentStrategy': 'deployment_strategy', 'diskName': 'disk_name', 'diskURI': 'disk_uri', 'dnsConfig': 'dns_config', 'dnsPolicy': 'dns_policy', 'dockerSocketPath': 'docker_socket_path', 'dogstatsdOriginDetection': 'dogstatsd_origin_detection', 'downwardAPI': 'downward_api', 'emptyDir': 'empty_dir', 'enableOOMKill': 'enable_oom_kill', 'enableTCPQueueLength': 'enable_tcp_queue_length', 'expirationSeconds': 'expiration_seconds', 'externalMetricName': 'external_metric_name', 'externalMetrics': 'external_metrics', 'fieldPath': 'field_path', 'fieldRef': 'field_ref', 'fileKey': 'file_key', 'flexVolume': 'flex_volume', 'fsGroup': 'fs_group', 'fsGroupChangePolicy': 'fs_group_change_policy', 'fsType': 'fs_type', 'gcePersistentDisk': 'gce_persistent_disk', 'generatedToken': 'generated_token', 'gitRepo': 'git_repo', 'gmsaCredentialSpec': 'gmsa_credential_spec', 'gmsaCredentialSpecName': 'gmsa_credential_spec_name', 'hostNetwork': 'host_network', 'hostPath': 'host_path', 'hostPID': 'host_pid', 'hostPort': 'host_port', 'initiatorName': 'initiator_name', 'iscsiInterface': 'iscsi_interface', 'keyName': 'key_name', 'labelSelector': 'label_selector', 'lastTransitionTime': 'last_transition_time', 'lastUpdate': 'last_update', 'lastUpdateTime': 'last_update_time', 'leaderElection': 'leader_election', 'logLevel': 'log_level', 'logsConfigContainerCollectAll': 'logs_config_container_collect_all', 'matchExpressions': 'match_expressions', 'matchFields': 'match_fields', 'matchLabels': 'match_labels', 'maxParallelPodCreation': 'max_parallel_pod_creation', 'maxPodSchedulerFailure': 'max_pod_scheduler_failure', 'maxUnavailable': 'max_unavailable', 'mountPath': 'mount_path', 'mountPropagation': 'mount_propagation', 'mutateUnlabelled': 'mutate_unlabelled', 'networkPolicy': 'network_policy', 'nodeAffinity': 'node_affinity', 'nodeAntiAffinityKeys': 'node_anti_affinity_keys', 'nodePublishSecretRef': 'node_publish_secret_ref', 'nodeSelector': 'node_selector', 'nodeSelectorTerms': 'node_selector_terms', 'openFilesLimit': 'open_files_limit', 'pdID': 'pd_id', 'pdName': 'pd_name', 'persistentVolumeClaim': 'persistent_volume_claim', 'photonPersistentDisk': 'photon_persistent_disk', 'podAffinity': 'pod_affinity', 'podAffinityTerm': 'pod_affinity_term', 'podAnnotationsAsTags': 'pod_annotations_as_tags', 'podAntiAffinity': 'pod_anti_affinity', 'podLabelsAsTags': 'pod_labels_as_tags', 'podLogsPath': 'pod_logs_path', 'policiesDir': 'policies_dir', 'portworxVolume': 'portworx_volume', 'preferredDuringSchedulingIgnoredDuringExecution': 'preferred_during_scheduling_ignored_during_execution', 'priorityClassName': 'priority_class_name', 'procMount': 'proc_mount', 'protectionDomain': 'protection_domain', 'pullPolicy': 'pull_policy', 'pullSecrets': 'pull_secrets', 'readOnly': 'read_only', 'readOnlyRootFilesystem': 'read_only_root_filesystem', 'readyReplicas': 'ready_replicas', 'reconcileFrequency': 'reconcile_frequency', 'requiredDuringSchedulingIgnoredDuringExecution': 'required_during_scheduling_ignored_during_execution', 'resourceFieldRef': 'resource_field_ref', 'rollingUpdate': 'rolling_update', 'runAsGroup': 'run_as_group', 'runAsNonRoot': 'run_as_non_root', 'runAsUser': 'run_as_user', 'runAsUserName': 'run_as_user_name', 'scaleIO': 'scale_io', 'seLinuxOptions': 'se_linux_options', 'secCompCustomProfileConfigMap': 'sec_comp_custom_profile_config_map', 'secCompProfileName': 'sec_comp_profile_name', 'secCompRootPath': 'sec_comp_root_path', 'secretFile': 'secret_file', 'secretKeyRef': 'secret_key_ref', 'secretName': 'secret_name', 'secretRef': 'secret_ref', 'securityContext': 'security_context', 'serviceAccountName': 'service_account_name', 'serviceAccountToken': 'service_account_token', 'serviceName': 'service_name', 'shareName': 'share_name', 'sizeLimit': 'size_limit', 'slowStartAdditiveIncrease': 'slow_start_additive_increase', 'slowStartIntervalDuration': 'slow_start_interval_duration', 'sslEnabled': 'ssl_enabled', 'storageMode': 'storage_mode', 'storagePolicyID': 'storage_policy_id', 'storagePolicyName': 'storage_policy_name', 'storagePool': 'storage_pool', 'subPath': 'sub_path', 'subPathExpr': 'sub_path_expr', 'supplementalGroups': 'supplemental_groups', 'syscallMonitor': 'syscall_monitor', 'systemProbe': 'system_probe', 'targetPortal': 'target_portal', 'targetWWNs': 'target_ww_ns', 'tempStoragePath': 'temp_storage_path', 'tolerationSeconds': 'toleration_seconds', 'topologyKey': 'topology_key', 'unavailableReplicas': 'unavailable_replicas', 'upToDate': 'up_to_date', 'updateStrategyType': 'update_strategy_type', 'updatedReplicas': 'updated_replicas', 'useDatadogMetrics': 'use_datadog_metrics', 'useDogStatsDSocketVolume': 'use_dog_stats_d_socket_volume', 'useExtendedDaemonset': 'use_extended_daemonset', 'useSecretBackend': 'use_secret_backend', 'valueFrom': 'value_from', 'volumeAttributes': 'volume_attributes', 'volumeID': 'volume_id', 'volumeMounts': 'volume_mounts', 'volumeName': 'volume_name', 'volumeNamespace': 'volume_namespace', 'volumePath': 'volume_path', 'vsphereVolume': 'vsphere_volume', 'windowsOptions': 'windows_options', 'wpaController': 'wpa_controller'} |
#
# PySNMP MIB module WRS-MASTER-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/WRS-MASTER-MIB
# Produced by pysmi-0.3.4 at Wed May 1 15:23:44 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, SingleValueConstraint, ConstraintsIntersection, ConstraintsUnion, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "SingleValueConstraint", "ConstraintsIntersection", "ConstraintsUnion", "ValueRangeConstraint")
NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance")
iso, Unsigned32, IpAddress, ObjectIdentity, TimeTicks, MibIdentifier, Bits, ModuleIdentity, Counter32, NotificationType, Counter64, MibScalar, MibTable, MibTableRow, MibTableColumn, Integer32, Gauge32, enterprises = mibBuilder.importSymbols("SNMPv2-SMI", "iso", "Unsigned32", "IpAddress", "ObjectIdentity", "TimeTicks", "MibIdentifier", "Bits", "ModuleIdentity", "Counter32", "NotificationType", "Counter64", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Integer32", "Gauge32", "enterprises")
TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString")
wrs = ModuleIdentity((1, 3, 6, 1, 4, 1, 731))
wrs.setRevisions(('2000-08-29 00:00',))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts: wrs.setRevisionsDescriptions(('Initial MIB creation.',))
if mibBuilder.loadTexts: wrs.setLastUpdated('200008290000Z')
if mibBuilder.loadTexts: wrs.setOrganization('Wind River Systems, Inc.')
if mibBuilder.loadTexts: wrs.setContactInfo('Wind River Systems, Inc. E-mail: support@windriver.com')
if mibBuilder.loadTexts: wrs.setDescription('WRS Master MIB OID defines and documentation.')
tms = MibIdentifier((1, 3, 6, 1, 4, 1, 731, 2))
idb = MibIdentifier((1, 3, 6, 1, 4, 1, 731, 2, 1))
tmsGeneric = MibIdentifier((1, 3, 6, 1, 4, 1, 731, 2, 2))
oemSwapi = MibIdentifier((1, 3, 6, 1, 4, 1, 731, 2, 3))
oemProd = MibIdentifier((1, 3, 6, 1, 4, 1, 731, 2, 4))
rmonMib = MibIdentifier((1, 3, 6, 1, 4, 1, 731, 2, 1, 1))
mibBuilder.exportSymbols("WRS-MASTER-MIB", tmsGeneric=tmsGeneric, PYSNMP_MODULE_ID=wrs, idb=idb, oemProd=oemProd, tms=tms, rmonMib=rmonMib, oemSwapi=oemSwapi, wrs=wrs)
| (object_identifier, integer, octet_string) = mibBuilder.importSymbols('ASN1', 'ObjectIdentifier', 'Integer', 'OctetString')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(value_size_constraint, single_value_constraint, constraints_intersection, constraints_union, value_range_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ValueSizeConstraint', 'SingleValueConstraint', 'ConstraintsIntersection', 'ConstraintsUnion', 'ValueRangeConstraint')
(notification_group, module_compliance) = mibBuilder.importSymbols('SNMPv2-CONF', 'NotificationGroup', 'ModuleCompliance')
(iso, unsigned32, ip_address, object_identity, time_ticks, mib_identifier, bits, module_identity, counter32, notification_type, counter64, mib_scalar, mib_table, mib_table_row, mib_table_column, integer32, gauge32, enterprises) = mibBuilder.importSymbols('SNMPv2-SMI', 'iso', 'Unsigned32', 'IpAddress', 'ObjectIdentity', 'TimeTicks', 'MibIdentifier', 'Bits', 'ModuleIdentity', 'Counter32', 'NotificationType', 'Counter64', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'Integer32', 'Gauge32', 'enterprises')
(textual_convention, display_string) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'DisplayString')
wrs = module_identity((1, 3, 6, 1, 4, 1, 731))
wrs.setRevisions(('2000-08-29 00:00',))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts:
wrs.setRevisionsDescriptions(('Initial MIB creation.',))
if mibBuilder.loadTexts:
wrs.setLastUpdated('200008290000Z')
if mibBuilder.loadTexts:
wrs.setOrganization('Wind River Systems, Inc.')
if mibBuilder.loadTexts:
wrs.setContactInfo('Wind River Systems, Inc. E-mail: support@windriver.com')
if mibBuilder.loadTexts:
wrs.setDescription('WRS Master MIB OID defines and documentation.')
tms = mib_identifier((1, 3, 6, 1, 4, 1, 731, 2))
idb = mib_identifier((1, 3, 6, 1, 4, 1, 731, 2, 1))
tms_generic = mib_identifier((1, 3, 6, 1, 4, 1, 731, 2, 2))
oem_swapi = mib_identifier((1, 3, 6, 1, 4, 1, 731, 2, 3))
oem_prod = mib_identifier((1, 3, 6, 1, 4, 1, 731, 2, 4))
rmon_mib = mib_identifier((1, 3, 6, 1, 4, 1, 731, 2, 1, 1))
mibBuilder.exportSymbols('WRS-MASTER-MIB', tmsGeneric=tmsGeneric, PYSNMP_MODULE_ID=wrs, idb=idb, oemProd=oemProd, tms=tms, rmonMib=rmonMib, oemSwapi=oemSwapi, wrs=wrs) |
# PROBLEM LINK:- https://leetcode.com/problems/two-sum/
class Solution:
def twoSum(self, v, x):
n = len(v)
r = []
for i in range(0,n):
for j in range(i+1,n):
if(i != j and v[i] + v[j] == x):
r.append(i)
r.append(j)
return r
| class Solution:
def two_sum(self, v, x):
n = len(v)
r = []
for i in range(0, n):
for j in range(i + 1, n):
if i != j and v[i] + v[j] == x:
r.append(i)
r.append(j)
return r |
'''
My initial solution
not very fast and uses quite a bit of memory
will look over to try and improve
'''
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def minDepth(self, root) -> int:
ans = []
if root is None:
return 0
#Account for the root
self.findMinDepth(root, 1, ans)
return min(ans)
def findMinDepth(self, node, numberOfNodes, result):
#At the leaf node
if node.left is None and node.right is None:
print(numberOfNodes)
result.append(numberOfNodes)
return
if node.left is not None:
self.findMinDepth(node.left, numberOfNodes + 1, result)
if node.right is not None:
self.findMinDepth(node.right, numberOfNodes + 1, result)
| """
My initial solution
not very fast and uses quite a bit of memory
will look over to try and improve
"""
class Solution:
def min_depth(self, root) -> int:
ans = []
if root is None:
return 0
self.findMinDepth(root, 1, ans)
return min(ans)
def find_min_depth(self, node, numberOfNodes, result):
if node.left is None and node.right is None:
print(numberOfNodes)
result.append(numberOfNodes)
return
if node.left is not None:
self.findMinDepth(node.left, numberOfNodes + 1, result)
if node.right is not None:
self.findMinDepth(node.right, numberOfNodes + 1, result) |
class Factor(object):
def __init__(self, o, f=1.0):
self.o = o
self.f = f
def __repr__(self):
return "Factor()"
def get_distance(self, point):
return self.f * self.o.get_distance(point)
def get_distance_numpy(self, x, y, z):
return self.f * self.o.get_distance_numpy(x,y,z) | class Factor(object):
def __init__(self, o, f=1.0):
self.o = o
self.f = f
def __repr__(self):
return 'Factor()'
def get_distance(self, point):
return self.f * self.o.get_distance(point)
def get_distance_numpy(self, x, y, z):
return self.f * self.o.get_distance_numpy(x, y, z) |
#
# PySNMP MIB module RFC1233-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/RFC1233-MIB
# Produced by pysmi-0.3.4 at Wed May 1 14:56:30 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
OctetString, ObjectIdentifier, Integer = mibBuilder.importSymbols("ASN1", "OctetString", "ObjectIdentifier", "Integer")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ValueRangeConstraint, SingleValueConstraint, ValueSizeConstraint, ConstraintsUnion, ConstraintsIntersection = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueRangeConstraint", "SingleValueConstraint", "ValueSizeConstraint", "ConstraintsUnion", "ConstraintsIntersection")
NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance")
Bits, Counter64, ModuleIdentity, Unsigned32, Gauge32, iso, transmission, Integer32, IpAddress, MibScalar, MibTable, MibTableRow, MibTableColumn, TimeTicks, ObjectIdentity, NotificationType, MibIdentifier, Counter32 = mibBuilder.importSymbols("SNMPv2-SMI", "Bits", "Counter64", "ModuleIdentity", "Unsigned32", "Gauge32", "iso", "transmission", "Integer32", "IpAddress", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "TimeTicks", "ObjectIdentity", "NotificationType", "MibIdentifier", "Counter32")
DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention")
ds3 = MibIdentifier((1, 3, 6, 1, 2, 1, 10, 30))
ds3ConfigTable = MibTable((1, 3, 6, 1, 2, 1, 10, 30, 1), )
if mibBuilder.loadTexts: ds3ConfigTable.setStatus('mandatory')
if mibBuilder.loadTexts: ds3ConfigTable.setDescription('The DS3 Configuration table.')
ds3ConfigEntry = MibTableRow((1, 3, 6, 1, 2, 1, 10, 30, 1, 1), ).setIndexNames((0, "RFC1233-MIB", "ds3CSUIndex"))
if mibBuilder.loadTexts: ds3ConfigEntry.setStatus('mandatory')
if mibBuilder.loadTexts: ds3ConfigEntry.setDescription('An entry in the DS3 Configuration table.')
ds3CSUIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 1, 1, 1), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3CSUIndex.setStatus('mandatory')
if mibBuilder.loadTexts: ds3CSUIndex.setDescription('The index value which uniquely identifies the CSU to which this entry is applicable.')
ds3Index = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 1, 1, 2), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3Index.setStatus('mandatory')
if mibBuilder.loadTexts: ds3Index.setDescription('An index value that uniquely identifies a DS3 Interface. The interface identified by a particular value of this index is the same interface as identified by the same value an ifIndex object instance.')
ds3TimeElapsed = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 1, 1, 3), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 900))).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3TimeElapsed.setStatus('mandatory')
if mibBuilder.loadTexts: ds3TimeElapsed.setDescription('The number of seconds, including partial seconds, that have elapsed since the beginning of the current error-measurement period.')
ds3ValidIntervals = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 1, 1, 4), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 96))).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3ValidIntervals.setStatus('mandatory')
if mibBuilder.loadTexts: ds3ValidIntervals.setDescription('The number of previous intervals for which valid data was collected. The value will be 96 unless the CSU device was brought online within the last 24 hours, in which case the value will be the number of complete 15 minute intervals the CSU has been online.')
ds3LineType = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 1, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("other", 1), ("ds3M23", 2), ("ds3SYNTRAN", 3), ("ds3CbitParity", 4), ("ds3ClearChannel", 5)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3LineType.setStatus('mandatory')
if mibBuilder.loadTexts: ds3LineType.setDescription('This variable indicates the variety of DS3 C-bit application implementing this circuit. The type of circuit affects the interpretation of the usage and error statistics. The rate of all of them is 44.736 Mbps. The values, in sequence, describe: TITLE: SPECIFICATION: ds3M23 ANSI T1.107-1988 [10] ds3SYNTRAN ANSI T1.107-1988 [10] ds3C-bitParity ANSI T1.107a-1989 [10a] ds3ClearChannel ANSI T1.102-1987 [9] ')
ds3ZeroCoding = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 1, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("ds3other", 1), ("ds3B3ZS", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3ZeroCoding.setStatus('mandatory')
if mibBuilder.loadTexts: ds3ZeroCoding.setDescription('This variable describes the variety of Zero Code Suppression used on the link, which in turn affects a number of its characteristics. ds3B3ZS refers to the use of specified patterns of normal bits and bipolar violations which are used to replace sequences of zero bits of a specified length.')
ds3Loopback = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 1, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("ds3NoLoop", 1), ("ds3LocalLoopbackLocalSide", 2), ("ds3LocalLoopbackRemoteSide", 3), ("ds3RemoteLoopbackLocalSide", 4), ("ds3RemoteLoopbackRemoteSide", 5)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3Loopback.setStatus('mandatory')
if mibBuilder.loadTexts: ds3Loopback.setDescription("This variable represents the loopback state of the CSU. Devices supporting read/write access should return badValue in response to a requested loopback state that the CSU does not support. The values mean: ds3NoLoop Not in the loopback state. A device that is not capable of performing a loopback on either interface shall always return this as it's value. ds3LocalLoopbackLocalSide Signal received from the local side of the device is looped back at the local connector (eg, without involving the CSU). ds3LocalLoopbackRemoteSide Signal received from the local side of the device is looped back at the remote connector (eg, through the CSU). ds3RemoteLoopbackLocalSide Signal received from the remote side of the device is looped back at the local connector (eg, through the CSU). ds3RemoteLoopbackRemoteSide Signal received from the remote side of the device is looped back at the remote connector (eg, without involving the CSU). Note that M23 and ClearChannel interfaces do not support the Loopback managed object.")
ds3SendCode = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 1, 1, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("ds3SendTestMessage", 1), ("ds3SendNoCode", 2), ("ds3SendSetCode", 3), ("ds3SendLoopbackCode", 4), ("ds3SendResetCode", 5)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3SendCode.setStatus('mandatory')
if mibBuilder.loadTexts: ds3SendCode.setDescription('This variable indicates what type of code is being sent across the DS1 circuit by the CSU. The values mean: ds3SendNoCode sending looped or normal data ds3SendSetCode sending a loopback request ds3SendLoopbackCode sending the code to choose a specific loopback ds3SendResetCode sending a loopback termination request ds3SendTestMessage sending a Test pattern as defined in T1.107a-1989 [10a]. ')
ds3YellowAlarm = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 1, 1, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("ds3YellowAlarm", 1), ("ds3NoYellowAlarm", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3YellowAlarm.setStatus('mandatory')
if mibBuilder.loadTexts: ds3YellowAlarm.setDescription('This variable indicates if a Yellow Alarm condition exists.')
ds3RedAlarm = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 1, 1, 10), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("ds3RedAlarm", 1), ("ds3NoRedAlarm", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3RedAlarm.setStatus('mandatory')
if mibBuilder.loadTexts: ds3RedAlarm.setDescription('This variable indicates if a Red Alarm condition exists.')
ds3CircuitIdentifier = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 1, 1, 11), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 255))).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3CircuitIdentifier.setStatus('mandatory')
if mibBuilder.loadTexts: ds3CircuitIdentifier.setDescription("This variable contains the transmission vendor's circuit identifier, for the purpose of facilitating troubleshooting.")
ds3IntervalTable = MibTable((1, 3, 6, 1, 2, 1, 10, 30, 2), )
if mibBuilder.loadTexts: ds3IntervalTable.setStatus('mandatory')
if mibBuilder.loadTexts: ds3IntervalTable.setDescription('The DS3 Interval table.')
ds3IntervalEntry = MibTableRow((1, 3, 6, 1, 2, 1, 10, 30, 2, 1), ).setIndexNames((0, "RFC1233-MIB", "ds3IntervalIndex"), (0, "RFC1233-MIB", "ds3IntervalNumber"))
if mibBuilder.loadTexts: ds3IntervalEntry.setStatus('mandatory')
if mibBuilder.loadTexts: ds3IntervalEntry.setDescription('An entry in the DS3 Interval table.')
ds3IntervalIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 2, 1, 1), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3IntervalIndex.setStatus('mandatory')
if mibBuilder.loadTexts: ds3IntervalIndex.setDescription('The index value which uniquely identifies the CSU to which this entry is applicable. The interface identified by a particular value of this index is the same interface as identified by the same value an DS3CSUIndex object instance.')
ds3IntervalNumber = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 2, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 96))).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3IntervalNumber.setStatus('mandatory')
if mibBuilder.loadTexts: ds3IntervalNumber.setDescription('A number between 1 and 96, where 1 is the most recently completed 15 minute interval and 96 is the least recently completed 15 minutes interval (assuming that all 96 intervals are valid).')
ds3IntervalESs = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 2, 1, 3), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3IntervalESs.setStatus('mandatory')
if mibBuilder.loadTexts: ds3IntervalESs.setDescription('The counter associated with the number of Errored Seconds, as defined by [12], encountered by a DS3 CSU in one of the previous 96, individual 15 minute, intervals.')
ds3IntervalSESs = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 2, 1, 4), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3IntervalSESs.setStatus('mandatory')
if mibBuilder.loadTexts: ds3IntervalSESs.setDescription('The counter associated with the number of Severely Errored Seconds, as defined by [12], encountered by a DS3 CSU in one of the previous 96, individual 15 minute, intervals.')
ds3IntervalSEFSs = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 2, 1, 5), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3IntervalSEFSs.setStatus('mandatory')
if mibBuilder.loadTexts: ds3IntervalSEFSs.setDescription('The counter associated with the number of Severely Errored Framing Seconds, as defined by [12], encountered by a DS3 CSU in one of the previous 96, individual 15 minute, intervals.')
ds3IntervalUASs = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 2, 1, 6), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3IntervalUASs.setStatus('mandatory')
if mibBuilder.loadTexts: ds3IntervalUASs.setDescription('The counter associated with the number of Unavailable Seconds, as defined by [12], encountered by a DS3 CSU in one of the previous 96, individual 15 minute, intervals.')
ds3IntervalCSSs = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 2, 1, 7), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3IntervalCSSs.setStatus('mandatory')
if mibBuilder.loadTexts: ds3IntervalCSSs.setDescription('The counter associated with the number of Controlled Slip Seconds, as defined by [12], encountered by a DS3 CSU in one of the previous 96, individual 15 minute, intervals. Note that SYNTRAN interfaces are the only interfaces that support the Controlled Slip Seconds managed object. Accordingly, agents configured with non-SYNTRAN interfaces may treat this object as having an ACCESS clause value of not-accessible.')
ds3IntervalBPVs = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 2, 1, 8), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3IntervalBPVs.setStatus('mandatory')
if mibBuilder.loadTexts: ds3IntervalBPVs.setDescription('The counter associated with the number of Bipolar Violations, as defined by [12], encountered by a DS3 CSU in one of the previous 96, individual 15 minute, intervals.')
ds3IntervalCVs = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 2, 1, 9), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3IntervalCVs.setStatus('mandatory')
if mibBuilder.loadTexts: ds3IntervalCVs.setDescription('The counter associated with the number of Coding Violations, as defined by [12], encountered by a DS3 CSU in one of the previous 96, individual 15 minute, intervals.')
ds3CurrentTable = MibTable((1, 3, 6, 1, 2, 1, 10, 30, 3), )
if mibBuilder.loadTexts: ds3CurrentTable.setStatus('mandatory')
if mibBuilder.loadTexts: ds3CurrentTable.setDescription('The DS3 Current table.')
ds3CurrentEntry = MibTableRow((1, 3, 6, 1, 2, 1, 10, 30, 3, 1), ).setIndexNames((0, "RFC1233-MIB", "ds3CurrentIndex"))
if mibBuilder.loadTexts: ds3CurrentEntry.setStatus('mandatory')
if mibBuilder.loadTexts: ds3CurrentEntry.setDescription('An entry in the DS3 Current table.')
ds3CurrentIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 3, 1, 1), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3CurrentIndex.setStatus('mandatory')
if mibBuilder.loadTexts: ds3CurrentIndex.setDescription('The index value which uniquely identifies the CSU to which this entry is applicable. The interface identified by a particular value of this index is the same interface as identified by the same value an DS3CSUIndex object instance.')
ds3CurrentESs = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 3, 1, 2), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3CurrentESs.setStatus('mandatory')
if mibBuilder.loadTexts: ds3CurrentESs.setDescription('The counter associated with the number of Errored Seconds, as defined by [12], encountered by a DS3 CSU in the current 15 minute interval.')
ds3CurrentSESs = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 3, 1, 3), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3CurrentSESs.setStatus('mandatory')
if mibBuilder.loadTexts: ds3CurrentSESs.setDescription('The counter associated with the number of Severely Errored Seconds, as defined by [12], encountered by a DS3 CSU in the current 15 minute interval.')
ds3CurrentSEFSs = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 3, 1, 4), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3CurrentSEFSs.setStatus('mandatory')
if mibBuilder.loadTexts: ds3CurrentSEFSs.setDescription('The counter associated with the number of Severely Errored Framing Seconds, as defined by [12], encountered by a DS3 CSU in the current 15 minute interval.')
ds3CurrentUASs = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 3, 1, 5), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3CurrentUASs.setStatus('mandatory')
if mibBuilder.loadTexts: ds3CurrentUASs.setDescription('The counter associated with the number of Unavailable Seconds, as defined by [12], encountered by a DS3 CSU in the current 15 minute interval.')
ds3CurrentCSSs = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 3, 1, 6), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3CurrentCSSs.setStatus('mandatory')
if mibBuilder.loadTexts: ds3CurrentCSSs.setDescription('The counter associated with the number of Controlled Slip Seconds, as defined by [12], encountered by a DS3 CSU in the current 15 minute interval. Note that SYNTRAN interfaces are the only interfaces that support the Controlled Slip Seconds managed object. Accordingly, agents configured with non-SYNTRAN interfaces may treat this object as having an ACCESS clause value of not-accessible.')
ds3CurrentBPVs = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 3, 1, 7), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3CurrentBPVs.setStatus('mandatory')
if mibBuilder.loadTexts: ds3CurrentBPVs.setDescription('The counter associated with the number of Bipolar Violations, as defined by [12], encountered by a DS3 CSU in the current 15 minute interval.')
ds3CurrentCVs = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 3, 1, 8), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3CurrentCVs.setStatus('mandatory')
if mibBuilder.loadTexts: ds3CurrentCVs.setDescription('The counter associated with the number of Coding Violations, as defined by [12], encountered by a DS3 CSU in the current 15 minute interval.')
ds3TotalTable = MibTable((1, 3, 6, 1, 2, 1, 10, 30, 4), )
if mibBuilder.loadTexts: ds3TotalTable.setStatus('mandatory')
if mibBuilder.loadTexts: ds3TotalTable.setDescription('The DS3 Total table. 24 hour interval.')
ds3TotalEntry = MibTableRow((1, 3, 6, 1, 2, 1, 10, 30, 4, 1), ).setIndexNames((0, "RFC1233-MIB", "ds3TotalIndex"))
if mibBuilder.loadTexts: ds3TotalEntry.setStatus('mandatory')
if mibBuilder.loadTexts: ds3TotalEntry.setDescription('An entry in the DS3 Total table.')
ds3TotalIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 4, 1, 1), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3TotalIndex.setStatus('mandatory')
if mibBuilder.loadTexts: ds3TotalIndex.setDescription('The index value which uniquely identifies the CSU to which this entry is applicable. The interface identified by a particular value of this index is the same interface as identified by the same value an DS3CSUIndex object instance.')
ds3TotalESs = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 4, 1, 2), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3TotalESs.setStatus('mandatory')
if mibBuilder.loadTexts: ds3TotalESs.setDescription('The counter associated with the number of Errored Seconds, as defined by [12], encountered by a DS3 CSU in the previous 24 hour interval.')
ds3TotalSESs = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 4, 1, 3), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3TotalSESs.setStatus('mandatory')
if mibBuilder.loadTexts: ds3TotalSESs.setDescription('The counter associated with the number of Severely Errored Seconds, as defined by [12], encountered by a DS3 CSU in the previous 24 hour interval.')
ds3TotalSEFSs = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 4, 1, 4), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3TotalSEFSs.setStatus('mandatory')
if mibBuilder.loadTexts: ds3TotalSEFSs.setDescription('The counter associated with the number of Severely Errored Framing Seconds, as defined by [12], encountered by a DS3 CSU in the previous 24 hour interval.')
ds3TotalUASs = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 4, 1, 5), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3TotalUASs.setStatus('mandatory')
if mibBuilder.loadTexts: ds3TotalUASs.setDescription('The counter associated with the number of Unavailable Seconds, as defined by [12], encountered by a DS3 CSU in the previous 24 hour interval.')
ds3TotalCSSs = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 4, 1, 6), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3TotalCSSs.setStatus('mandatory')
if mibBuilder.loadTexts: ds3TotalCSSs.setDescription('The counter associated with the number of Controlled Slip Seconds, as defined by [12], encountered by a DS3 CSU in the previous 24 hour interval. Note that SYNTRAN interfaces are the only interfaces that support the Controlled Slip Seconds managed object. Accordingly, agents configured with non-SYNTRAN interfaces may treat this object as having an ACCESS clause value of not-accessible.')
ds3TotalBPVs = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 4, 1, 7), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3TotalBPVs.setStatus('mandatory')
if mibBuilder.loadTexts: ds3TotalBPVs.setDescription('The counter associated with the number of Bipolar Violations, as defined by [12], encountered by a DS3 CSU in the previous 24 hour interval.')
ds3TotalCVs = MibTableColumn((1, 3, 6, 1, 2, 1, 10, 30, 4, 1, 8), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: ds3TotalCVs.setStatus('mandatory')
if mibBuilder.loadTexts: ds3TotalCVs.setDescription('The counter associated with the number of Coding Violations, as defined by [12], encountered by a DS3 CSU in the previous 24 hour interval.')
mibBuilder.exportSymbols("RFC1233-MIB", ds3CurrentBPVs=ds3CurrentBPVs, ds3CurrentCSSs=ds3CurrentCSSs, ds3CurrentSEFSs=ds3CurrentSEFSs, ds3IntervalSEFSs=ds3IntervalSEFSs, ds3IntervalESs=ds3IntervalESs, ds3IntervalBPVs=ds3IntervalBPVs, ds3TimeElapsed=ds3TimeElapsed, ds3TotalSESs=ds3TotalSESs, ds3IntervalEntry=ds3IntervalEntry, ds3ValidIntervals=ds3ValidIntervals, ds3ZeroCoding=ds3ZeroCoding, ds3CurrentUASs=ds3CurrentUASs, ds3ConfigTable=ds3ConfigTable, ds3YellowAlarm=ds3YellowAlarm, ds3CurrentIndex=ds3CurrentIndex, ds3TotalSEFSs=ds3TotalSEFSs, ds3CurrentSESs=ds3CurrentSESs, ds3CircuitIdentifier=ds3CircuitIdentifier, ds3IntervalCVs=ds3IntervalCVs, ds3TotalEntry=ds3TotalEntry, ds3LineType=ds3LineType, ds3IntervalIndex=ds3IntervalIndex, ds3CurrentCVs=ds3CurrentCVs, ds3RedAlarm=ds3RedAlarm, ds3CurrentESs=ds3CurrentESs, ds3TotalCSSs=ds3TotalCSSs, ds3IntervalTable=ds3IntervalTable, ds3IntervalNumber=ds3IntervalNumber, ds3TotalESs=ds3TotalESs, ds3IntervalUASs=ds3IntervalUASs, ds3Index=ds3Index, ds3Loopback=ds3Loopback, ds3TotalTable=ds3TotalTable, ds3SendCode=ds3SendCode, ds3TotalUASs=ds3TotalUASs, ds3IntervalCSSs=ds3IntervalCSSs, ds3CSUIndex=ds3CSUIndex, ds3CurrentEntry=ds3CurrentEntry, ds3TotalCVs=ds3TotalCVs, ds3CurrentTable=ds3CurrentTable, ds3ConfigEntry=ds3ConfigEntry, ds3TotalBPVs=ds3TotalBPVs, ds3=ds3, ds3TotalIndex=ds3TotalIndex, ds3IntervalSESs=ds3IntervalSESs)
| (octet_string, object_identifier, integer) = mibBuilder.importSymbols('ASN1', 'OctetString', 'ObjectIdentifier', 'Integer')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(value_range_constraint, single_value_constraint, value_size_constraint, constraints_union, constraints_intersection) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ValueRangeConstraint', 'SingleValueConstraint', 'ValueSizeConstraint', 'ConstraintsUnion', 'ConstraintsIntersection')
(notification_group, module_compliance) = mibBuilder.importSymbols('SNMPv2-CONF', 'NotificationGroup', 'ModuleCompliance')
(bits, counter64, module_identity, unsigned32, gauge32, iso, transmission, integer32, ip_address, mib_scalar, mib_table, mib_table_row, mib_table_column, time_ticks, object_identity, notification_type, mib_identifier, counter32) = mibBuilder.importSymbols('SNMPv2-SMI', 'Bits', 'Counter64', 'ModuleIdentity', 'Unsigned32', 'Gauge32', 'iso', 'transmission', 'Integer32', 'IpAddress', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'TimeTicks', 'ObjectIdentity', 'NotificationType', 'MibIdentifier', 'Counter32')
(display_string, textual_convention) = mibBuilder.importSymbols('SNMPv2-TC', 'DisplayString', 'TextualConvention')
ds3 = mib_identifier((1, 3, 6, 1, 2, 1, 10, 30))
ds3_config_table = mib_table((1, 3, 6, 1, 2, 1, 10, 30, 1))
if mibBuilder.loadTexts:
ds3ConfigTable.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3ConfigTable.setDescription('The DS3 Configuration table.')
ds3_config_entry = mib_table_row((1, 3, 6, 1, 2, 1, 10, 30, 1, 1)).setIndexNames((0, 'RFC1233-MIB', 'ds3CSUIndex'))
if mibBuilder.loadTexts:
ds3ConfigEntry.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3ConfigEntry.setDescription('An entry in the DS3 Configuration table.')
ds3_csu_index = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 1, 1, 1), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3CSUIndex.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3CSUIndex.setDescription('The index value which uniquely identifies the CSU to which this entry is applicable.')
ds3_index = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 1, 1, 2), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3Index.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3Index.setDescription('An index value that uniquely identifies a DS3 Interface. The interface identified by a particular value of this index is the same interface as identified by the same value an ifIndex object instance.')
ds3_time_elapsed = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 1, 1, 3), integer32().subtype(subtypeSpec=value_range_constraint(1, 900))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3TimeElapsed.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3TimeElapsed.setDescription('The number of seconds, including partial seconds, that have elapsed since the beginning of the current error-measurement period.')
ds3_valid_intervals = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 1, 1, 4), integer32().subtype(subtypeSpec=value_range_constraint(0, 96))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3ValidIntervals.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3ValidIntervals.setDescription('The number of previous intervals for which valid data was collected. The value will be 96 unless the CSU device was brought online within the last 24 hours, in which case the value will be the number of complete 15 minute intervals the CSU has been online.')
ds3_line_type = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 1, 1, 5), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5))).clone(namedValues=named_values(('other', 1), ('ds3M23', 2), ('ds3SYNTRAN', 3), ('ds3CbitParity', 4), ('ds3ClearChannel', 5)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3LineType.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3LineType.setDescription('This variable indicates the variety of DS3 C-bit application implementing this circuit. The type of circuit affects the interpretation of the usage and error statistics. The rate of all of them is 44.736 Mbps. The values, in sequence, describe: TITLE: SPECIFICATION: ds3M23 ANSI T1.107-1988 [10] ds3SYNTRAN ANSI T1.107-1988 [10] ds3C-bitParity ANSI T1.107a-1989 [10a] ds3ClearChannel ANSI T1.102-1987 [9] ')
ds3_zero_coding = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 1, 1, 6), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('ds3other', 1), ('ds3B3ZS', 2)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3ZeroCoding.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3ZeroCoding.setDescription('This variable describes the variety of Zero Code Suppression used on the link, which in turn affects a number of its characteristics. ds3B3ZS refers to the use of specified patterns of normal bits and bipolar violations which are used to replace sequences of zero bits of a specified length.')
ds3_loopback = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 1, 1, 7), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5))).clone(namedValues=named_values(('ds3NoLoop', 1), ('ds3LocalLoopbackLocalSide', 2), ('ds3LocalLoopbackRemoteSide', 3), ('ds3RemoteLoopbackLocalSide', 4), ('ds3RemoteLoopbackRemoteSide', 5)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3Loopback.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3Loopback.setDescription("This variable represents the loopback state of the CSU. Devices supporting read/write access should return badValue in response to a requested loopback state that the CSU does not support. The values mean: ds3NoLoop Not in the loopback state. A device that is not capable of performing a loopback on either interface shall always return this as it's value. ds3LocalLoopbackLocalSide Signal received from the local side of the device is looped back at the local connector (eg, without involving the CSU). ds3LocalLoopbackRemoteSide Signal received from the local side of the device is looped back at the remote connector (eg, through the CSU). ds3RemoteLoopbackLocalSide Signal received from the remote side of the device is looped back at the local connector (eg, through the CSU). ds3RemoteLoopbackRemoteSide Signal received from the remote side of the device is looped back at the remote connector (eg, without involving the CSU). Note that M23 and ClearChannel interfaces do not support the Loopback managed object.")
ds3_send_code = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 1, 1, 8), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5))).clone(namedValues=named_values(('ds3SendTestMessage', 1), ('ds3SendNoCode', 2), ('ds3SendSetCode', 3), ('ds3SendLoopbackCode', 4), ('ds3SendResetCode', 5)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3SendCode.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3SendCode.setDescription('This variable indicates what type of code is being sent across the DS1 circuit by the CSU. The values mean: ds3SendNoCode sending looped or normal data ds3SendSetCode sending a loopback request ds3SendLoopbackCode sending the code to choose a specific loopback ds3SendResetCode sending a loopback termination request ds3SendTestMessage sending a Test pattern as defined in T1.107a-1989 [10a]. ')
ds3_yellow_alarm = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 1, 1, 9), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('ds3YellowAlarm', 1), ('ds3NoYellowAlarm', 2)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3YellowAlarm.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3YellowAlarm.setDescription('This variable indicates if a Yellow Alarm condition exists.')
ds3_red_alarm = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 1, 1, 10), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('ds3RedAlarm', 1), ('ds3NoRedAlarm', 2)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3RedAlarm.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3RedAlarm.setDescription('This variable indicates if a Red Alarm condition exists.')
ds3_circuit_identifier = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 1, 1, 11), display_string().subtype(subtypeSpec=value_size_constraint(0, 255))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3CircuitIdentifier.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3CircuitIdentifier.setDescription("This variable contains the transmission vendor's circuit identifier, for the purpose of facilitating troubleshooting.")
ds3_interval_table = mib_table((1, 3, 6, 1, 2, 1, 10, 30, 2))
if mibBuilder.loadTexts:
ds3IntervalTable.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3IntervalTable.setDescription('The DS3 Interval table.')
ds3_interval_entry = mib_table_row((1, 3, 6, 1, 2, 1, 10, 30, 2, 1)).setIndexNames((0, 'RFC1233-MIB', 'ds3IntervalIndex'), (0, 'RFC1233-MIB', 'ds3IntervalNumber'))
if mibBuilder.loadTexts:
ds3IntervalEntry.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3IntervalEntry.setDescription('An entry in the DS3 Interval table.')
ds3_interval_index = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 2, 1, 1), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3IntervalIndex.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3IntervalIndex.setDescription('The index value which uniquely identifies the CSU to which this entry is applicable. The interface identified by a particular value of this index is the same interface as identified by the same value an DS3CSUIndex object instance.')
ds3_interval_number = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 2, 1, 2), integer32().subtype(subtypeSpec=value_range_constraint(1, 96))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3IntervalNumber.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3IntervalNumber.setDescription('A number between 1 and 96, where 1 is the most recently completed 15 minute interval and 96 is the least recently completed 15 minutes interval (assuming that all 96 intervals are valid).')
ds3_interval_e_ss = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 2, 1, 3), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3IntervalESs.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3IntervalESs.setDescription('The counter associated with the number of Errored Seconds, as defined by [12], encountered by a DS3 CSU in one of the previous 96, individual 15 minute, intervals.')
ds3_interval_se_ss = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 2, 1, 4), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3IntervalSESs.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3IntervalSESs.setDescription('The counter associated with the number of Severely Errored Seconds, as defined by [12], encountered by a DS3 CSU in one of the previous 96, individual 15 minute, intervals.')
ds3_interval_sef_ss = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 2, 1, 5), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3IntervalSEFSs.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3IntervalSEFSs.setDescription('The counter associated with the number of Severely Errored Framing Seconds, as defined by [12], encountered by a DS3 CSU in one of the previous 96, individual 15 minute, intervals.')
ds3_interval_ua_ss = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 2, 1, 6), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3IntervalUASs.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3IntervalUASs.setDescription('The counter associated with the number of Unavailable Seconds, as defined by [12], encountered by a DS3 CSU in one of the previous 96, individual 15 minute, intervals.')
ds3_interval_cs_ss = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 2, 1, 7), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3IntervalCSSs.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3IntervalCSSs.setDescription('The counter associated with the number of Controlled Slip Seconds, as defined by [12], encountered by a DS3 CSU in one of the previous 96, individual 15 minute, intervals. Note that SYNTRAN interfaces are the only interfaces that support the Controlled Slip Seconds managed object. Accordingly, agents configured with non-SYNTRAN interfaces may treat this object as having an ACCESS clause value of not-accessible.')
ds3_interval_bp_vs = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 2, 1, 8), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3IntervalBPVs.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3IntervalBPVs.setDescription('The counter associated with the number of Bipolar Violations, as defined by [12], encountered by a DS3 CSU in one of the previous 96, individual 15 minute, intervals.')
ds3_interval_c_vs = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 2, 1, 9), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3IntervalCVs.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3IntervalCVs.setDescription('The counter associated with the number of Coding Violations, as defined by [12], encountered by a DS3 CSU in one of the previous 96, individual 15 minute, intervals.')
ds3_current_table = mib_table((1, 3, 6, 1, 2, 1, 10, 30, 3))
if mibBuilder.loadTexts:
ds3CurrentTable.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3CurrentTable.setDescription('The DS3 Current table.')
ds3_current_entry = mib_table_row((1, 3, 6, 1, 2, 1, 10, 30, 3, 1)).setIndexNames((0, 'RFC1233-MIB', 'ds3CurrentIndex'))
if mibBuilder.loadTexts:
ds3CurrentEntry.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3CurrentEntry.setDescription('An entry in the DS3 Current table.')
ds3_current_index = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 3, 1, 1), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3CurrentIndex.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3CurrentIndex.setDescription('The index value which uniquely identifies the CSU to which this entry is applicable. The interface identified by a particular value of this index is the same interface as identified by the same value an DS3CSUIndex object instance.')
ds3_current_e_ss = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 3, 1, 2), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3CurrentESs.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3CurrentESs.setDescription('The counter associated with the number of Errored Seconds, as defined by [12], encountered by a DS3 CSU in the current 15 minute interval.')
ds3_current_se_ss = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 3, 1, 3), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3CurrentSESs.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3CurrentSESs.setDescription('The counter associated with the number of Severely Errored Seconds, as defined by [12], encountered by a DS3 CSU in the current 15 minute interval.')
ds3_current_sef_ss = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 3, 1, 4), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3CurrentSEFSs.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3CurrentSEFSs.setDescription('The counter associated with the number of Severely Errored Framing Seconds, as defined by [12], encountered by a DS3 CSU in the current 15 minute interval.')
ds3_current_ua_ss = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 3, 1, 5), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3CurrentUASs.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3CurrentUASs.setDescription('The counter associated with the number of Unavailable Seconds, as defined by [12], encountered by a DS3 CSU in the current 15 minute interval.')
ds3_current_cs_ss = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 3, 1, 6), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3CurrentCSSs.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3CurrentCSSs.setDescription('The counter associated with the number of Controlled Slip Seconds, as defined by [12], encountered by a DS3 CSU in the current 15 minute interval. Note that SYNTRAN interfaces are the only interfaces that support the Controlled Slip Seconds managed object. Accordingly, agents configured with non-SYNTRAN interfaces may treat this object as having an ACCESS clause value of not-accessible.')
ds3_current_bp_vs = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 3, 1, 7), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3CurrentBPVs.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3CurrentBPVs.setDescription('The counter associated with the number of Bipolar Violations, as defined by [12], encountered by a DS3 CSU in the current 15 minute interval.')
ds3_current_c_vs = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 3, 1, 8), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3CurrentCVs.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3CurrentCVs.setDescription('The counter associated with the number of Coding Violations, as defined by [12], encountered by a DS3 CSU in the current 15 minute interval.')
ds3_total_table = mib_table((1, 3, 6, 1, 2, 1, 10, 30, 4))
if mibBuilder.loadTexts:
ds3TotalTable.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3TotalTable.setDescription('The DS3 Total table. 24 hour interval.')
ds3_total_entry = mib_table_row((1, 3, 6, 1, 2, 1, 10, 30, 4, 1)).setIndexNames((0, 'RFC1233-MIB', 'ds3TotalIndex'))
if mibBuilder.loadTexts:
ds3TotalEntry.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3TotalEntry.setDescription('An entry in the DS3 Total table.')
ds3_total_index = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 4, 1, 1), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3TotalIndex.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3TotalIndex.setDescription('The index value which uniquely identifies the CSU to which this entry is applicable. The interface identified by a particular value of this index is the same interface as identified by the same value an DS3CSUIndex object instance.')
ds3_total_e_ss = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 4, 1, 2), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3TotalESs.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3TotalESs.setDescription('The counter associated with the number of Errored Seconds, as defined by [12], encountered by a DS3 CSU in the previous 24 hour interval.')
ds3_total_se_ss = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 4, 1, 3), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3TotalSESs.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3TotalSESs.setDescription('The counter associated with the number of Severely Errored Seconds, as defined by [12], encountered by a DS3 CSU in the previous 24 hour interval.')
ds3_total_sef_ss = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 4, 1, 4), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3TotalSEFSs.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3TotalSEFSs.setDescription('The counter associated with the number of Severely Errored Framing Seconds, as defined by [12], encountered by a DS3 CSU in the previous 24 hour interval.')
ds3_total_ua_ss = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 4, 1, 5), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3TotalUASs.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3TotalUASs.setDescription('The counter associated with the number of Unavailable Seconds, as defined by [12], encountered by a DS3 CSU in the previous 24 hour interval.')
ds3_total_cs_ss = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 4, 1, 6), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3TotalCSSs.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3TotalCSSs.setDescription('The counter associated with the number of Controlled Slip Seconds, as defined by [12], encountered by a DS3 CSU in the previous 24 hour interval. Note that SYNTRAN interfaces are the only interfaces that support the Controlled Slip Seconds managed object. Accordingly, agents configured with non-SYNTRAN interfaces may treat this object as having an ACCESS clause value of not-accessible.')
ds3_total_bp_vs = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 4, 1, 7), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3TotalBPVs.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3TotalBPVs.setDescription('The counter associated with the number of Bipolar Violations, as defined by [12], encountered by a DS3 CSU in the previous 24 hour interval.')
ds3_total_c_vs = mib_table_column((1, 3, 6, 1, 2, 1, 10, 30, 4, 1, 8), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
ds3TotalCVs.setStatus('mandatory')
if mibBuilder.loadTexts:
ds3TotalCVs.setDescription('The counter associated with the number of Coding Violations, as defined by [12], encountered by a DS3 CSU in the previous 24 hour interval.')
mibBuilder.exportSymbols('RFC1233-MIB', ds3CurrentBPVs=ds3CurrentBPVs, ds3CurrentCSSs=ds3CurrentCSSs, ds3CurrentSEFSs=ds3CurrentSEFSs, ds3IntervalSEFSs=ds3IntervalSEFSs, ds3IntervalESs=ds3IntervalESs, ds3IntervalBPVs=ds3IntervalBPVs, ds3TimeElapsed=ds3TimeElapsed, ds3TotalSESs=ds3TotalSESs, ds3IntervalEntry=ds3IntervalEntry, ds3ValidIntervals=ds3ValidIntervals, ds3ZeroCoding=ds3ZeroCoding, ds3CurrentUASs=ds3CurrentUASs, ds3ConfigTable=ds3ConfigTable, ds3YellowAlarm=ds3YellowAlarm, ds3CurrentIndex=ds3CurrentIndex, ds3TotalSEFSs=ds3TotalSEFSs, ds3CurrentSESs=ds3CurrentSESs, ds3CircuitIdentifier=ds3CircuitIdentifier, ds3IntervalCVs=ds3IntervalCVs, ds3TotalEntry=ds3TotalEntry, ds3LineType=ds3LineType, ds3IntervalIndex=ds3IntervalIndex, ds3CurrentCVs=ds3CurrentCVs, ds3RedAlarm=ds3RedAlarm, ds3CurrentESs=ds3CurrentESs, ds3TotalCSSs=ds3TotalCSSs, ds3IntervalTable=ds3IntervalTable, ds3IntervalNumber=ds3IntervalNumber, ds3TotalESs=ds3TotalESs, ds3IntervalUASs=ds3IntervalUASs, ds3Index=ds3Index, ds3Loopback=ds3Loopback, ds3TotalTable=ds3TotalTable, ds3SendCode=ds3SendCode, ds3TotalUASs=ds3TotalUASs, ds3IntervalCSSs=ds3IntervalCSSs, ds3CSUIndex=ds3CSUIndex, ds3CurrentEntry=ds3CurrentEntry, ds3TotalCVs=ds3TotalCVs, ds3CurrentTable=ds3CurrentTable, ds3ConfigEntry=ds3ConfigEntry, ds3TotalBPVs=ds3TotalBPVs, ds3=ds3, ds3TotalIndex=ds3TotalIndex, ds3IntervalSESs=ds3IntervalSESs) |
config_DTP = {
"lr": 6.185037324617764e-05,
"target_stepsize": 0.21951187497378802,
"beta1": 0.9,
"beta2": 0.999,
"epsilon": 1.0170111936290766e-08,
"lr_fb": 0.0019584756448113774,
"sigma": 0.08372453893037193,
"beta1_fb": 0.9,
"beta2_fb": 0.999,
"epsilon_fb": 7.541132645747324e-06,
"out_dir": "logs/mnist/DTP",
"network_type": "DTP",
"initialization": "xavier_normal",
"fb_activation": "tanh",
"extra_fb_epochs": 0,
"epochs_fb": 0,
"gn_damping": [10.0, 10.0, 1.0, 1.0, 0.01],
}
config_DKDTP2_rec_extrafb = {
"lr": 6.530289454184444e-05,
"target_stepsize": 0.03391776356880856,
"beta1": 0.9,
"beta2": 0.9,
"epsilon": 1.408840589359605e-08,
"lr_fb": 3.055525874735466e-05,
"sigma": 0.06379589790297038,
"feedback_wd": 0.0030391271787456268,
"beta1_fb": 0.999,
"beta2_fb": 0.999,
"epsilon_fb": 9.348498204704435e-07,
"out_dir": "logs/mnist/DKDTP2",
"network_type": "DKDTP2",
"recurrent_input": True,
"hidden_fb_activation": "tanh",
"fb_activation": "tanh",
"initialization": "xavier_normal",
"size_hidden_fb": 1024,
"extra_fb_epochs": 4,
"epochs_fb": 10,
"gn_damping": [1.0, 1.0, 1.0, 1.0, 0.0001],
}
config_DTP_improved = {
"lr": 8.755114977760993e-05,
"target_stepsize": 0.29588215061609174,
"feedback_wd": 0.002191969471427704,
"beta1": 0.9,
"beta2": 0.99,
"epsilon": 1.3539369588818846e-07,
"lr_fb": 0.00046353371500045345,
"sigma": 0.17295321576257636,
"beta1_fb": 0.9,
"beta2_fb": 0.9,
"epsilon_fb": 4.3671895272055226e-07,
"out_dir": "logs/mnist/DTP_improved",
"network_type": "DTP",
"initialization": "xavier_normal",
"fb_activation": "tanh",
"extra_fb_epochs": 1,
"epochs_fb": 6,
"gn_damping": [10.0, 10.0, 10.0, 1.0, 0.0],
}
config_DKDTP2 = {
"lr": 1.8344501197850718e-05,
"target_stepsize": 0.05565828298326246,
"beta1": 0.99,
"beta2": 0.999,
"epsilon": 4.504429689758071e-08,
"lr_fb": 1.0314691826112397e-06,
"sigma": 0.029108018407511767,
"feedback_wd": 1.3213470513982929e-05,
"beta1_fb": 0.999,
"beta2_fb": 0.999,
"epsilon_fb": 8.41113837941681e-06,
"out_dir": "logs/mnist/DKDTP2",
"network_type": "DKDTP2",
"recurrent_input": False,
"hidden_fb_activation": "tanh",
"fb_activation": "tanh",
"initialization": "xavier_normal",
"size_hidden_fb": 1024,
"extra_fb_epochs": 1,
"epochs_fb": 6,
"gn_damping": [1.0, 1.0, 1.0, 1.0, 0.0001],
}
config_DKDTP2_extrafb = {
"lr": 0.00497884765761932,
"target_stepsize": 0.031803317994129734,
"beta1": 0.9,
"beta2": 0.99,
"epsilon": 0.00011423747064362681,
"lr_fb": 1.1810601875614817e-06,
"sigma": 0.08807753575899523,
"feedback_wd": 0.005158844217972975,
"beta1_fb": 0.999,
"beta2_fb": 0.99,
"epsilon_fb": 1.272047944960225e-07,
"out_dir": "logs/mnist/DKDTP2",
"network_type": "DKDTP2",
"recurrent_input": False,
"hidden_fb_activation": "tanh",
"fb_activation": "tanh",
"initialization": "xavier_normal",
"size_hidden_fb": 1024,
"extra_fb_epochs": 4,
"epochs_fb": 10,
"gn_damping": [1.0, 1.0, 1.0, 0.1, 0.0001],
}
config_DTPDR = {
"lr": 2.968902530985572e-05,
"target_stepsize": 0.06858850589618244,
"beta1": 0.9,
"beta2": 0.99,
"epsilon": 1.001084429920261e-08,
"lr_fb": 2.0123315498373473e-05,
"sigma": 0.056879454462500055,
"feedback_wd": 5.384963778780523e-06,
"beta1_fb": 0.99,
"beta2_fb": 0.999,
"epsilon_fb": 5.0844503288987736e-08,
"out_dir": "logs/mnist/DTPDR",
"network_type": "DTPDR",
"initialization": "xavier_normal",
"fb_activation": "tanh",
"extra_fb_epochs": 1,
"epochs_fb": 6,
"gn_damping": [1.0, 1.0, 1.0, 1.0, 0.0],
}
config_DFA = {
"lr": 0.0003808175281098754,
"beta1": 0.9,
"beta2": 0.999,
"epsilon": 1.0861745402518128e-07,
"out_dir": "logs/fashion_mnist/DFA",
"network_type": "DFA",
"fb_activation": "linear",
"initialization": "xavier_normal",
"target_stepsize": 1.0,
"extra_fb_epochs": 0,
"epochs_fb": 0,
"gn_damping": [10.0, 1.0, 1.0, 1.0, 0.01],
}
config_DMLPDTP2_linear = {
"lr": 2.0354415171962153e-05,
"target_stepsize": 0.06096940412767466,
"beta1": 0.9,
"beta2": 0.999,
"epsilon": 1.255238177132068e-08,
"lr_fb": 0.00016378232822128718,
"sigma": 0.0907524824699504,
"feedback_wd": 5.836204840235672e-07,
"beta1_fb": 0.999,
"beta2_fb": 0.999,
"epsilon_fb": 0.0002838378678760835,
"out_dir": "logs/mnist/DMLPDTP2_linear",
"network_type": "DMLPDTP2",
"recurrent_input": False,
"hidden_fb_activation": "linear",
"size_mlp_fb": None,
"fb_activation": "linear",
"initialization": "xavier_normal",
"extra_fb_epochs": 1,
"epochs_fb": 6,
"gn_damping": [1.0, 1.0, 1.0, 1.0, 0.0001],
}
config_BP = {
"lr": 0.0002970474733093798,
"beta1": 0.99,
"beta2": 0.999,
"epsilon": 6.927830087224072e-08,
"out_dir": "logs/mnist/BP",
"network_type": "BP",
"initialization": "xavier_normal",
"target_stepsize": 1.0,
"extra_fb_epochs": 0,
"epochs_fb": 0,
}
config_DDTP_control = {
"lr": 8.882733337430332e-05,
"target_stepsize": 0.09416689927228376,
"beta1": 0.9,
"beta2": 0.999,
"epsilon": 5.552559684258553e-08,
"lr_fb": 0.00018713096100900022,
"sigma": 0.008719996683197298,
"feedback_wd": 0.00040219548415666565,
"beta1_fb": 0.9,
"beta2_fb": 0.999,
"epsilon_fb": 1.2297580110850507e-08,
"out_dir": "logs/mnist/DDTPControl",
"network_type": "DDTPControl",
"recurrent_input": False,
"hidden_fb_activation": "linear",
"size_mlp_fb": None,
"fb_activation": "linear",
"initialization": "xavier_normal",
"extra_fb_epochs": 1,
"epochs_fb": 6,
"gn_damping": [10.0, 1.0, 1.0, 0.1, 0.1],
}
config_collection = {
"DTPDRL": config_DTPDR,
"DDTP-linear": config_DMLPDTP2_linear,
"DDTP-RHL": config_DKDTP2,
"DDTP-RHL(extra fb)": config_DKDTP2_extrafb,
"DDTP-RHL(rec+extra fb)": config_DKDTP2_rec_extrafb,
"DTP": config_DTP,
"DTP-pretrained": config_DTP_improved,
"DDTP-Control": config_DDTP_control,
"DFA": config_DFA,
"BP": config_BP,
}
result_keys = [
"loss_train",
"loss_test",
"loss_val",
"acc_train",
"acc_test",
"acc_val",
"bp_angles",
"gnt_angles",
"rec_loss",
]
config_fixed = {
"dataset": "mnist",
"double_precision": True,
"optimizer": "Adam",
"optimizer_fb": "Adam",
"momentum": 0.0,
"parallel": True,
"normalize_lr": True,
"batch_size": 128,
"forward_wd": 0.0,
"not_randomized": True,
"not_randomized_fb": True,
"extra_fb_minibatches": 0,
"epochs": 100,
"only_train_first_layer": False,
"train_only_feedback_parameters": False,
"num_hidden": 5,
"size_hidden": 256,
"size_input": 784,
"size_output": 10,
"hidden_activation": "tanh",
"output_activation": "softmax",
"no_bias": False,
"no_cuda": False,
"random_seed": 42,
"cuda_deterministic": False,
"freeze_BPlayers": False,
"multiple_hpsearch": False,
"save_logs": True,
"save_BP_angle": True,
"save_GN_angle": False,
"save_GNT_angle": True,
"save_GN_activations_angle": False,
"save_BP_activations_angle": False,
"hpsearch": False,
"plots": "compute",
"log_interval": 80,
}
if __name__ == "__main__":
pass
| config_dtp = {'lr': 6.185037324617764e-05, 'target_stepsize': 0.21951187497378802, 'beta1': 0.9, 'beta2': 0.999, 'epsilon': 1.0170111936290766e-08, 'lr_fb': 0.0019584756448113774, 'sigma': 0.08372453893037193, 'beta1_fb': 0.9, 'beta2_fb': 0.999, 'epsilon_fb': 7.541132645747324e-06, 'out_dir': 'logs/mnist/DTP', 'network_type': 'DTP', 'initialization': 'xavier_normal', 'fb_activation': 'tanh', 'extra_fb_epochs': 0, 'epochs_fb': 0, 'gn_damping': [10.0, 10.0, 1.0, 1.0, 0.01]}
config_dkdtp2_rec_extrafb = {'lr': 6.530289454184444e-05, 'target_stepsize': 0.03391776356880856, 'beta1': 0.9, 'beta2': 0.9, 'epsilon': 1.408840589359605e-08, 'lr_fb': 3.055525874735466e-05, 'sigma': 0.06379589790297038, 'feedback_wd': 0.0030391271787456268, 'beta1_fb': 0.999, 'beta2_fb': 0.999, 'epsilon_fb': 9.348498204704435e-07, 'out_dir': 'logs/mnist/DKDTP2', 'network_type': 'DKDTP2', 'recurrent_input': True, 'hidden_fb_activation': 'tanh', 'fb_activation': 'tanh', 'initialization': 'xavier_normal', 'size_hidden_fb': 1024, 'extra_fb_epochs': 4, 'epochs_fb': 10, 'gn_damping': [1.0, 1.0, 1.0, 1.0, 0.0001]}
config_dtp_improved = {'lr': 8.755114977760993e-05, 'target_stepsize': 0.29588215061609174, 'feedback_wd': 0.002191969471427704, 'beta1': 0.9, 'beta2': 0.99, 'epsilon': 1.3539369588818846e-07, 'lr_fb': 0.00046353371500045345, 'sigma': 0.17295321576257636, 'beta1_fb': 0.9, 'beta2_fb': 0.9, 'epsilon_fb': 4.3671895272055226e-07, 'out_dir': 'logs/mnist/DTP_improved', 'network_type': 'DTP', 'initialization': 'xavier_normal', 'fb_activation': 'tanh', 'extra_fb_epochs': 1, 'epochs_fb': 6, 'gn_damping': [10.0, 10.0, 10.0, 1.0, 0.0]}
config_dkdtp2 = {'lr': 1.8344501197850718e-05, 'target_stepsize': 0.05565828298326246, 'beta1': 0.99, 'beta2': 0.999, 'epsilon': 4.504429689758071e-08, 'lr_fb': 1.0314691826112397e-06, 'sigma': 0.029108018407511767, 'feedback_wd': 1.3213470513982929e-05, 'beta1_fb': 0.999, 'beta2_fb': 0.999, 'epsilon_fb': 8.41113837941681e-06, 'out_dir': 'logs/mnist/DKDTP2', 'network_type': 'DKDTP2', 'recurrent_input': False, 'hidden_fb_activation': 'tanh', 'fb_activation': 'tanh', 'initialization': 'xavier_normal', 'size_hidden_fb': 1024, 'extra_fb_epochs': 1, 'epochs_fb': 6, 'gn_damping': [1.0, 1.0, 1.0, 1.0, 0.0001]}
config_dkdtp2_extrafb = {'lr': 0.00497884765761932, 'target_stepsize': 0.031803317994129734, 'beta1': 0.9, 'beta2': 0.99, 'epsilon': 0.00011423747064362681, 'lr_fb': 1.1810601875614817e-06, 'sigma': 0.08807753575899523, 'feedback_wd': 0.005158844217972975, 'beta1_fb': 0.999, 'beta2_fb': 0.99, 'epsilon_fb': 1.272047944960225e-07, 'out_dir': 'logs/mnist/DKDTP2', 'network_type': 'DKDTP2', 'recurrent_input': False, 'hidden_fb_activation': 'tanh', 'fb_activation': 'tanh', 'initialization': 'xavier_normal', 'size_hidden_fb': 1024, 'extra_fb_epochs': 4, 'epochs_fb': 10, 'gn_damping': [1.0, 1.0, 1.0, 0.1, 0.0001]}
config_dtpdr = {'lr': 2.968902530985572e-05, 'target_stepsize': 0.06858850589618244, 'beta1': 0.9, 'beta2': 0.99, 'epsilon': 1.001084429920261e-08, 'lr_fb': 2.0123315498373473e-05, 'sigma': 0.056879454462500055, 'feedback_wd': 5.384963778780523e-06, 'beta1_fb': 0.99, 'beta2_fb': 0.999, 'epsilon_fb': 5.0844503288987736e-08, 'out_dir': 'logs/mnist/DTPDR', 'network_type': 'DTPDR', 'initialization': 'xavier_normal', 'fb_activation': 'tanh', 'extra_fb_epochs': 1, 'epochs_fb': 6, 'gn_damping': [1.0, 1.0, 1.0, 1.0, 0.0]}
config_dfa = {'lr': 0.0003808175281098754, 'beta1': 0.9, 'beta2': 0.999, 'epsilon': 1.0861745402518128e-07, 'out_dir': 'logs/fashion_mnist/DFA', 'network_type': 'DFA', 'fb_activation': 'linear', 'initialization': 'xavier_normal', 'target_stepsize': 1.0, 'extra_fb_epochs': 0, 'epochs_fb': 0, 'gn_damping': [10.0, 1.0, 1.0, 1.0, 0.01]}
config_dmlpdtp2_linear = {'lr': 2.0354415171962153e-05, 'target_stepsize': 0.06096940412767466, 'beta1': 0.9, 'beta2': 0.999, 'epsilon': 1.255238177132068e-08, 'lr_fb': 0.00016378232822128718, 'sigma': 0.0907524824699504, 'feedback_wd': 5.836204840235672e-07, 'beta1_fb': 0.999, 'beta2_fb': 0.999, 'epsilon_fb': 0.0002838378678760835, 'out_dir': 'logs/mnist/DMLPDTP2_linear', 'network_type': 'DMLPDTP2', 'recurrent_input': False, 'hidden_fb_activation': 'linear', 'size_mlp_fb': None, 'fb_activation': 'linear', 'initialization': 'xavier_normal', 'extra_fb_epochs': 1, 'epochs_fb': 6, 'gn_damping': [1.0, 1.0, 1.0, 1.0, 0.0001]}
config_bp = {'lr': 0.0002970474733093798, 'beta1': 0.99, 'beta2': 0.999, 'epsilon': 6.927830087224072e-08, 'out_dir': 'logs/mnist/BP', 'network_type': 'BP', 'initialization': 'xavier_normal', 'target_stepsize': 1.0, 'extra_fb_epochs': 0, 'epochs_fb': 0}
config_ddtp_control = {'lr': 8.882733337430332e-05, 'target_stepsize': 0.09416689927228376, 'beta1': 0.9, 'beta2': 0.999, 'epsilon': 5.552559684258553e-08, 'lr_fb': 0.00018713096100900022, 'sigma': 0.008719996683197298, 'feedback_wd': 0.00040219548415666565, 'beta1_fb': 0.9, 'beta2_fb': 0.999, 'epsilon_fb': 1.2297580110850507e-08, 'out_dir': 'logs/mnist/DDTPControl', 'network_type': 'DDTPControl', 'recurrent_input': False, 'hidden_fb_activation': 'linear', 'size_mlp_fb': None, 'fb_activation': 'linear', 'initialization': 'xavier_normal', 'extra_fb_epochs': 1, 'epochs_fb': 6, 'gn_damping': [10.0, 1.0, 1.0, 0.1, 0.1]}
config_collection = {'DTPDRL': config_DTPDR, 'DDTP-linear': config_DMLPDTP2_linear, 'DDTP-RHL': config_DKDTP2, 'DDTP-RHL(extra fb)': config_DKDTP2_extrafb, 'DDTP-RHL(rec+extra fb)': config_DKDTP2_rec_extrafb, 'DTP': config_DTP, 'DTP-pretrained': config_DTP_improved, 'DDTP-Control': config_DDTP_control, 'DFA': config_DFA, 'BP': config_BP}
result_keys = ['loss_train', 'loss_test', 'loss_val', 'acc_train', 'acc_test', 'acc_val', 'bp_angles', 'gnt_angles', 'rec_loss']
config_fixed = {'dataset': 'mnist', 'double_precision': True, 'optimizer': 'Adam', 'optimizer_fb': 'Adam', 'momentum': 0.0, 'parallel': True, 'normalize_lr': True, 'batch_size': 128, 'forward_wd': 0.0, 'not_randomized': True, 'not_randomized_fb': True, 'extra_fb_minibatches': 0, 'epochs': 100, 'only_train_first_layer': False, 'train_only_feedback_parameters': False, 'num_hidden': 5, 'size_hidden': 256, 'size_input': 784, 'size_output': 10, 'hidden_activation': 'tanh', 'output_activation': 'softmax', 'no_bias': False, 'no_cuda': False, 'random_seed': 42, 'cuda_deterministic': False, 'freeze_BPlayers': False, 'multiple_hpsearch': False, 'save_logs': True, 'save_BP_angle': True, 'save_GN_angle': False, 'save_GNT_angle': True, 'save_GN_activations_angle': False, 'save_BP_activations_angle': False, 'hpsearch': False, 'plots': 'compute', 'log_interval': 80}
if __name__ == '__main__':
pass |
l, arr, moves = int(input()), [int(x) for x in input().split()], 0
for i in range(1, l):
while arr[i] < arr[i-1]:
arr[i] += 1
moves += 1
print(moves)
| (l, arr, moves) = (int(input()), [int(x) for x in input().split()], 0)
for i in range(1, l):
while arr[i] < arr[i - 1]:
arr[i] += 1
moves += 1
print(moves) |
class Restaurante:
def __init__ (self, nombre, tipo, number_served):
self.nombre = nombre
self.tipo = tipo
self.number_served = 0
def describe_restaurant(self):
print(self.nombre.title() + self.tipo.title())
def set_number_served(self):
print(self.number_served.title())
def increment_number_served(self):
print(self.number_served.title)
restaurant= Restaurante('Las Golondrinas','Mexicano', '5')
print("Nombre: " + str(restaurant.nombre))
print("Restaurante tipo: " + restaurant.tipo.title())
print(number_served.title())
| class Restaurante:
def __init__(self, nombre, tipo, number_served):
self.nombre = nombre
self.tipo = tipo
self.number_served = 0
def describe_restaurant(self):
print(self.nombre.title() + self.tipo.title())
def set_number_served(self):
print(self.number_served.title())
def increment_number_served(self):
print(self.number_served.title)
restaurant = restaurante('Las Golondrinas', 'Mexicano', '5')
print('Nombre: ' + str(restaurant.nombre))
print('Restaurante tipo: ' + restaurant.tipo.title())
print(number_served.title()) |
project = 'Daydream'
label = project + ' Documentation'
copyright = '2020, Remo'
author = 'Remo'
# The short X.Y version
version = '0.1'
# The full version, including alpha/beta/rc tags
release = '0.1 alpha'
# -- General configuration ---------------------------------------------------
extensions = []
templates_path = ['_templates']
source_suffix = '.rst'
master_doc = 'index'
language = None
exclude_patterns = ['_build']
pygments_style = None
# -- Options for HTML output -------------------------------------------------
html_theme = 'alabaster'
html_static_path = ['_static']
# -- Options for LaTeX output ------------------------------------------------
latex_elements = {
'papersize': 'a4paper',
'pointsize': '10pt',
}
# Grouping the document tree into LaTeX files. List of tuples
# (source start file, target name, title,
# author, documentclass [howto, manual, or own class]).
latex_documents = [
(master_doc, project + '.tex', label, author, 'manual'),
]
# -- Options for manual page output ------------------------------------------
# One entry per manual page. List of tuples
# (source start file, name, description, authors, manual section).
man_pages = [
(master_doc, project.lower(), label, [author], 1)
]
# -- Options for Epub output -------------------------------------------------
epub_title = project
epub_exclude_files = ['search.html']
| project = 'Daydream'
label = project + ' Documentation'
copyright = '2020, Remo'
author = 'Remo'
version = '0.1'
release = '0.1 alpha'
extensions = []
templates_path = ['_templates']
source_suffix = '.rst'
master_doc = 'index'
language = None
exclude_patterns = ['_build']
pygments_style = None
html_theme = 'alabaster'
html_static_path = ['_static']
latex_elements = {'papersize': 'a4paper', 'pointsize': '10pt'}
latex_documents = [(master_doc, project + '.tex', label, author, 'manual')]
man_pages = [(master_doc, project.lower(), label, [author], 1)]
epub_title = project
epub_exclude_files = ['search.html'] |
# Do not edit this file directly.
# It was auto-generated by: code/programs/reflexivity/reflexive_refresh
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
def gflags():
http_archive(
name="gflags" ,
sha256="ed82ef64389409e378fc6ae55b8b60f11a0b4bbb7e004d5ef9e791f40af19a6e" ,
strip_prefix="gflags-f7388c6655e699f777a5a74a3c9880b9cfaabe59" ,
urls = [
"https://github.com/Unilang/gflags/archive/f7388c6655e699f777a5a74a3c9880b9cfaabe59.tar.gz",
],
)
| load('@bazel_tools//tools/build_defs/repo:http.bzl', 'http_archive')
def gflags():
http_archive(name='gflags', sha256='ed82ef64389409e378fc6ae55b8b60f11a0b4bbb7e004d5ef9e791f40af19a6e', strip_prefix='gflags-f7388c6655e699f777a5a74a3c9880b9cfaabe59', urls=['https://github.com/Unilang/gflags/archive/f7388c6655e699f777a5a74a3c9880b9cfaabe59.tar.gz']) |
#
# PySNMP MIB module Fore-Redundancy-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/Fore-Redundancy-MIB
# Produced by pysmi-0.3.4 at Wed May 1 13:17:22 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
OctetString, Integer, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "OctetString", "Integer", "ObjectIdentifier")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsIntersection, ConstraintsUnion, ValueRangeConstraint, SingleValueConstraint, ValueSizeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsIntersection", "ConstraintsUnion", "ValueRangeConstraint", "SingleValueConstraint", "ValueSizeConstraint")
hardware, atmSwitch = mibBuilder.importSymbols("Fore-Common-MIB", "hardware", "atmSwitch")
trapLogIndex, = mibBuilder.importSymbols("Fore-TrapLog-MIB", "trapLogIndex")
ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup")
Integer32, Bits, ModuleIdentity, Gauge32, ObjectIdentity, Counter64, Counter32, Unsigned32, TimeTicks, IpAddress, MibIdentifier, NotificationType, iso, MibScalar, MibTable, MibTableRow, MibTableColumn = mibBuilder.importSymbols("SNMPv2-SMI", "Integer32", "Bits", "ModuleIdentity", "Gauge32", "ObjectIdentity", "Counter64", "Counter32", "Unsigned32", "TimeTicks", "IpAddress", "MibIdentifier", "NotificationType", "iso", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn")
DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention")
asx4000RedundancyModule = ModuleIdentity((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9))
if mibBuilder.loadTexts: asx4000RedundancyModule.setLastUpdated('9911050000Z')
if mibBuilder.loadTexts: asx4000RedundancyModule.setOrganization('FORE')
if mibBuilder.loadTexts: asx4000RedundancyModule.setContactInfo(' Postal: FORE Systems Inc. 1000 FORE Drive Warrendale, PA 15086-7502 Tel: +1 724 742 6900 Email: nm_mibs@fore.com Web: http://www.fore.com')
if mibBuilder.loadTexts: asx4000RedundancyModule.setDescription('The Fore ASX-4000 redundancy mib.')
asx4000RedFabricGroup = MibIdentifier((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 1))
asx4000RedPortCardGroup = MibIdentifier((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 2))
asx4000RedundancyGroup = MibIdentifier((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 3))
asx4000RedNetmodGroup = MibIdentifier((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 4))
class Asx4000RedundancyState(Integer32):
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8))
namedValues = NamedValues(("initializing", 1), ("cloning", 2), ("testing", 3), ("unprotected", 4), ("passive", 5), ("errored-detected", 6), ("armed", 7), ("requalifying", 8))
asx4000RedFabricTable = MibTable((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 1, 1), )
if mibBuilder.loadTexts: asx4000RedFabricTable.setStatus('current')
if mibBuilder.loadTexts: asx4000RedFabricTable.setDescription('A table of fabric entries.')
asx4000RedFabricEntry = MibTableRow((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 1, 1, 1), ).setIndexNames((0, "Fore-Redundancy-MIB", "asx4000RedFabricIndex"))
if mibBuilder.loadTexts: asx4000RedFabricEntry.setStatus('current')
if mibBuilder.loadTexts: asx4000RedFabricEntry.setDescription('A table entry containing fabric information.')
asx4000RedFabricIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 1, 1, 1, 1), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: asx4000RedFabricIndex.setStatus('current')
if mibBuilder.loadTexts: asx4000RedFabricIndex.setDescription('The index of this fabric')
asx4000RedFabricAdminMode = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 1, 1, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("working", 1), ("protection", 2), ("unprotected", 3)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: asx4000RedFabricAdminMode.setStatus('current')
if mibBuilder.loadTexts: asx4000RedFabricAdminMode.setDescription('The admin mode for this fabric')
asx4000RedFabricOperState = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 1, 1, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("active", 1), ("standby", 2), ("unprotected", 3)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: asx4000RedFabricOperState.setStatus('current')
if mibBuilder.loadTexts: asx4000RedFabricOperState.setDescription('The oper state for this fabric')
asx4000RedFabricPendingAdminMode = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 1, 1, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("working", 1), ("protection", 2), ("unprotected", 3), ("none", 4)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: asx4000RedFabricPendingAdminMode.setStatus('current')
if mibBuilder.loadTexts: asx4000RedFabricPendingAdminMode.setDescription('This variable is used to set the value for admin mode for this fabric.The asx4000RedFabricAdminMode variable is set to this value on setting the asx4000RedFabricCommit variable')
asx4000RedFabricCommittedState = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 1, 1, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("no", 1), ("yes", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: asx4000RedFabricCommittedState.setStatus('current')
if mibBuilder.loadTexts: asx4000RedFabricCommittedState.setDescription('This variable indicates if a command has been committed for this particular fabric.')
asx4000RedFabricCloningState = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 1, 1, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("done", 1), ("inprogress", 2), ("notApplicable", 3)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: asx4000RedFabricCloningState.setStatus('deprecated')
if mibBuilder.loadTexts: asx4000RedFabricCloningState.setDescription('The cloning state of this fabric')
asx4000RedFabricSwitchCommand = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 1, 1, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("active", 1), ("standby", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: asx4000RedFabricSwitchCommand.setStatus('current')
if mibBuilder.loadTexts: asx4000RedFabricSwitchCommand.setDescription('User initiated command at fabric level switchovers. Setting this variable with the following values causes the switchover to happen as explained. active - causes a switchover to active for this fabric standy - causes a switchover to standby for this fabric Note this object is write-only and reading it will result in implementation-specific results.')
asx4000RedFabricRedundancyState = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 1, 1, 1, 8), Asx4000RedundancyState()).setMaxAccess("readonly")
if mibBuilder.loadTexts: asx4000RedFabricRedundancyState.setStatus('current')
if mibBuilder.loadTexts: asx4000RedFabricRedundancyState.setDescription('This is the current redundancy state of th efabric. The possible values for this variable are dependent upon whether the fabric is protected or not, and whether it supports passive or active redundancy.')
asx4000RedFabricGroupCommit = MibScalar((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1))).clone(namedValues=NamedValues(("commit", 1)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: asx4000RedFabricGroupCommit.setStatus('current')
if mibBuilder.loadTexts: asx4000RedFabricGroupCommit.setDescription(' A command to commit a fabric group configuration Note this object is write-only and reading it will result in implementation-specific results.')
asx4000RedPortCardTable = MibTable((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 2, 1), )
if mibBuilder.loadTexts: asx4000RedPortCardTable.setStatus('current')
if mibBuilder.loadTexts: asx4000RedPortCardTable.setDescription('A table of 4000Red Portcard information.')
asx4000RedPortCardEntry = MibTableRow((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 2, 1, 1), ).setIndexNames((0, "Fore-Redundancy-MIB", "asx4000RedPortCardFabIndex"), (0, "Fore-Redundancy-MIB", "asx4000RedPortCardIndex"))
if mibBuilder.loadTexts: asx4000RedPortCardEntry.setStatus('current')
if mibBuilder.loadTexts: asx4000RedPortCardEntry.setDescription('A table entry containing portcard information.')
asx4000RedPortCardFabIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 2, 1, 1, 1), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: asx4000RedPortCardFabIndex.setStatus('current')
if mibBuilder.loadTexts: asx4000RedPortCardFabIndex.setDescription('The fabric index this portcard is connected to')
asx4000RedPortCardIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 2, 1, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("ab", 1), ("cd", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: asx4000RedPortCardIndex.setStatus('current')
if mibBuilder.loadTexts: asx4000RedPortCardIndex.setDescription('The netmod pair index of this portcard')
asx4000RedPortCardCloningState = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 2, 1, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("done", 1), ("inprogress", 2), ("notApplicable", 3)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: asx4000RedPortCardCloningState.setStatus('current')
if mibBuilder.loadTexts: asx4000RedPortCardCloningState.setDescription('The netmod pair index of this portcard')
asx4000RedundancyGroupTable = MibTable((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 3, 1), )
if mibBuilder.loadTexts: asx4000RedundancyGroupTable.setStatus('current')
if mibBuilder.loadTexts: asx4000RedundancyGroupTable.setDescription('This is the Redundancy Group table.')
asx4000RedundancyGroupEntry = MibTableRow((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 3, 1, 1), ).setIndexNames((0, "Fore-Redundancy-MIB", "asx4000RedGroupName"))
if mibBuilder.loadTexts: asx4000RedundancyGroupEntry.setStatus('current')
if mibBuilder.loadTexts: asx4000RedundancyGroupEntry.setDescription('This is a Redundancy Group entry, which represents the configuration of a working and protection fabric and their associated portcards.')
asx4000RedGroupName = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 3, 1, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("r12", 1), ("r34", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: asx4000RedGroupName.setStatus('current')
if mibBuilder.loadTexts: asx4000RedGroupName.setDescription('This is the redundancy group name. A redundancy group name identifies a working and protection fabric and their associated portcards are a single unit.')
asx4000RedGroupRevertMode = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 3, 1, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("on", 1), ("off", 2))).clone('off')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: asx4000RedGroupRevertMode.setStatus('current')
if mibBuilder.loadTexts: asx4000RedGroupRevertMode.setDescription('This is the revert mode for this redundancy group. If the revert mode is on(1), automatic switchover from the protection fabric to the working fabric will occur if the working fabric becomes available. Setting the revert mode to off(2) disables this behavior.')
asx4000RedGroupQualifyTimer = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 3, 1, 1, 3), Integer32().clone(5)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: asx4000RedGroupQualifyTimer.setStatus('current')
if mibBuilder.loadTexts: asx4000RedGroupQualifyTimer.setDescription('This is the qualification timer in minutes for this redundancy group. For fabric and portcards that support active redundancy, asx4000RedGroupQualifyTimer is the number of minutes that an errored fabric or portcard must undergo error-free loopback testing before being declared as an available fabric or portcard. This timer has no effect for fabrics and portcards that do not support active redundancy.')
asx4000RedGroupErrorThreshold = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 3, 1, 1, 4), Integer32().clone(2)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: asx4000RedGroupErrorThreshold.setStatus('current')
if mibBuilder.loadTexts: asx4000RedGroupErrorThreshold.setDescription('This is the loopback error threshold in cells for this redundancy group. For fabrics and portcards that support active redundancy, if the number of loopback cell errors equals or exceeds asx4000RedGroupErrorThreshold during the past asx4000RedGroupErrorBlockSize loopback cells, then an error condition is declared for the loopback components. Setting this error threshold to zero (0) disables error checking. The maximum value is the error block size asx4000RedGroupErrorBlockSize.')
asx4000RedGroupErrorBlockSize = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 3, 1, 1, 5), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: asx4000RedGroupErrorBlockSize.setStatus('current')
if mibBuilder.loadTexts: asx4000RedGroupErrorBlockSize.setDescription('This is the loopback error block size in cells for this redundancy group. For fabrics and portcards that support active redundancy, this is the number of consecutive loopback cells over which the error threshold asx4000RedGroupErrorThreshold will be applied.')
asx4000RedNetmodTable = MibTable((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 4, 1), )
if mibBuilder.loadTexts: asx4000RedNetmodTable.setStatus('current')
if mibBuilder.loadTexts: asx4000RedNetmodTable.setDescription('A table of 4000Red Netmod information.')
asx4000RedNetmodEntry = MibTableRow((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 4, 1, 1), ).setIndexNames((0, "Fore-Redundancy-MIB", "asx4000RedNetmodFabIndex"), (0, "Fore-Redundancy-MIB", "asx4000RedNetmodIndex"))
if mibBuilder.loadTexts: asx4000RedNetmodEntry.setStatus('current')
if mibBuilder.loadTexts: asx4000RedNetmodEntry.setDescription('A table entry containing netmod information.')
asx4000RedNetmodFabIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 4, 1, 1, 1), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: asx4000RedNetmodFabIndex.setStatus('current')
if mibBuilder.loadTexts: asx4000RedNetmodFabIndex.setDescription('The fabric index this netmod is connected to')
asx4000RedNetmodIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 4, 1, 1, 2), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: asx4000RedNetmodIndex.setStatus('current')
if mibBuilder.loadTexts: asx4000RedNetmodIndex.setDescription('The netmod index of this netmod')
asx4000RedNetmodRedundancyState = MibTableColumn((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 4, 1, 1, 3), Asx4000RedundancyState()).setMaxAccess("readonly")
if mibBuilder.loadTexts: asx4000RedNetmodRedundancyState.setStatus('current')
if mibBuilder.loadTexts: asx4000RedNetmodRedundancyState.setDescription('This is the current redundancy state of the netmod. The possible values for this variable are dependent upon whether the fabric to which this netmod is connection to is protected or not, and whether it supports passive or active redundancy.')
redundancyFabricSwitchover = NotificationType((1, 3, 6, 1, 4, 1, 326, 2, 2, 0, 2018)).setObjects(("Fore-Redundancy-MIB", "asx4000RedFabricIndex"), ("Fore-TrapLog-MIB", "trapLogIndex"))
if mibBuilder.loadTexts: redundancyFabricSwitchover.setStatus('current')
if mibBuilder.loadTexts: redundancyFabricSwitchover.setDescription('This trap reports the change of active fabric due to an automatic or revertive switchover. The fabric identified by the trap variable asx4000RedFabricIndex is the newly active fabric.')
redundancyFabricErrorCleared = NotificationType((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 0, 2)).setObjects(("Fore-Redundancy-MIB", "asx4000RedFabricIndex"), ("Fore-TrapLog-MIB", "trapLogIndex"))
if mibBuilder.loadTexts: redundancyFabricErrorCleared.setStatus('current')
if mibBuilder.loadTexts: redundancyFabricErrorCleared.setDescription('This trap reports the clearing of the active redundancy fabric error for the fabric identified by the trap variable asx4000RedFabricIndex.')
redundancyFabricErrorDetected = NotificationType((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 0, 3)).setObjects(("Fore-Redundancy-MIB", "asx4000RedFabricIndex"), ("Fore-TrapLog-MIB", "trapLogIndex"))
if mibBuilder.loadTexts: redundancyFabricErrorDetected.setStatus('current')
if mibBuilder.loadTexts: redundancyFabricErrorDetected.setDescription('This trap reports the declaration of the active redundancy fabric error for the fabric identified by the trap variable asx4000RedFabricIndex.')
redundancyNetmodErrorCleared = NotificationType((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 0, 4)).setObjects(("Fore-Redundancy-MIB", "asx4000RedNetmodFabIndex"), ("Fore-Redundancy-MIB", "asx4000RedNetmodIndex"), ("Fore-TrapLog-MIB", "trapLogIndex"))
if mibBuilder.loadTexts: redundancyNetmodErrorCleared.setStatus('current')
if mibBuilder.loadTexts: redundancyNetmodErrorCleared.setDescription('This trap reports the clearing of the active redundancy netmod error for the netmod identified by the trap variables asx4000RedNetmodFabIndex and asx4000RedNetmodIndex.')
redundancyNetmodErrorDetected = NotificationType((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 0, 5)).setObjects(("Fore-Redundancy-MIB", "asx4000RedNetmodFabIndex"), ("Fore-Redundancy-MIB", "asx4000RedNetmodIndex"), ("Fore-TrapLog-MIB", "trapLogIndex"))
if mibBuilder.loadTexts: redundancyNetmodErrorDetected.setStatus('current')
if mibBuilder.loadTexts: redundancyNetmodErrorDetected.setDescription('This trap reports the declaration of the active redundancy netmod error for the netmod identified by the trap variables asx4000RedNetmodFabIndex and asx4000RedNetmodIndex.')
mibBuilder.exportSymbols("Fore-Redundancy-MIB", asx4000RedNetmodEntry=asx4000RedNetmodEntry, PYSNMP_MODULE_ID=asx4000RedundancyModule, redundancyFabricSwitchover=redundancyFabricSwitchover, asx4000RedPortCardFabIndex=asx4000RedPortCardFabIndex, redundancyNetmodErrorDetected=redundancyNetmodErrorDetected, asx4000RedFabricCommittedState=asx4000RedFabricCommittedState, asx4000RedGroupErrorBlockSize=asx4000RedGroupErrorBlockSize, asx4000RedFabricIndex=asx4000RedFabricIndex, asx4000RedPortCardGroup=asx4000RedPortCardGroup, asx4000RedFabricEntry=asx4000RedFabricEntry, asx4000RedFabricAdminMode=asx4000RedFabricAdminMode, asx4000RedPortCardTable=asx4000RedPortCardTable, asx4000RedPortCardEntry=asx4000RedPortCardEntry, asx4000RedFabricPendingAdminMode=asx4000RedFabricPendingAdminMode, redundancyNetmodErrorCleared=redundancyNetmodErrorCleared, asx4000RedundancyGroupTable=asx4000RedundancyGroupTable, asx4000RedFabricOperState=asx4000RedFabricOperState, asx4000RedFabricTable=asx4000RedFabricTable, asx4000RedNetmodGroup=asx4000RedNetmodGroup, asx4000RedGroupRevertMode=asx4000RedGroupRevertMode, asx4000RedGroupErrorThreshold=asx4000RedGroupErrorThreshold, asx4000RedFabricGroupCommit=asx4000RedFabricGroupCommit, asx4000RedFabricCloningState=asx4000RedFabricCloningState, redundancyFabricErrorDetected=redundancyFabricErrorDetected, asx4000RedFabricSwitchCommand=asx4000RedFabricSwitchCommand, asx4000RedGroupQualifyTimer=asx4000RedGroupQualifyTimer, Asx4000RedundancyState=Asx4000RedundancyState, asx4000RedundancyModule=asx4000RedundancyModule, asx4000RedNetmodTable=asx4000RedNetmodTable, asx4000RedNetmodRedundancyState=asx4000RedNetmodRedundancyState, asx4000RedNetmodIndex=asx4000RedNetmodIndex, asx4000RedPortCardCloningState=asx4000RedPortCardCloningState, redundancyFabricErrorCleared=redundancyFabricErrorCleared, asx4000RedundancyGroupEntry=asx4000RedundancyGroupEntry, asx4000RedPortCardIndex=asx4000RedPortCardIndex, asx4000RedNetmodFabIndex=asx4000RedNetmodFabIndex, asx4000RedFabricRedundancyState=asx4000RedFabricRedundancyState, asx4000RedundancyGroup=asx4000RedundancyGroup, asx4000RedGroupName=asx4000RedGroupName, asx4000RedFabricGroup=asx4000RedFabricGroup)
| (octet_string, integer, object_identifier) = mibBuilder.importSymbols('ASN1', 'OctetString', 'Integer', 'ObjectIdentifier')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(constraints_intersection, constraints_union, value_range_constraint, single_value_constraint, value_size_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ConstraintsIntersection', 'ConstraintsUnion', 'ValueRangeConstraint', 'SingleValueConstraint', 'ValueSizeConstraint')
(hardware, atm_switch) = mibBuilder.importSymbols('Fore-Common-MIB', 'hardware', 'atmSwitch')
(trap_log_index,) = mibBuilder.importSymbols('Fore-TrapLog-MIB', 'trapLogIndex')
(module_compliance, notification_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ModuleCompliance', 'NotificationGroup')
(integer32, bits, module_identity, gauge32, object_identity, counter64, counter32, unsigned32, time_ticks, ip_address, mib_identifier, notification_type, iso, mib_scalar, mib_table, mib_table_row, mib_table_column) = mibBuilder.importSymbols('SNMPv2-SMI', 'Integer32', 'Bits', 'ModuleIdentity', 'Gauge32', 'ObjectIdentity', 'Counter64', 'Counter32', 'Unsigned32', 'TimeTicks', 'IpAddress', 'MibIdentifier', 'NotificationType', 'iso', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn')
(display_string, textual_convention) = mibBuilder.importSymbols('SNMPv2-TC', 'DisplayString', 'TextualConvention')
asx4000_redundancy_module = module_identity((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9))
if mibBuilder.loadTexts:
asx4000RedundancyModule.setLastUpdated('9911050000Z')
if mibBuilder.loadTexts:
asx4000RedundancyModule.setOrganization('FORE')
if mibBuilder.loadTexts:
asx4000RedundancyModule.setContactInfo(' Postal: FORE Systems Inc. 1000 FORE Drive Warrendale, PA 15086-7502 Tel: +1 724 742 6900 Email: nm_mibs@fore.com Web: http://www.fore.com')
if mibBuilder.loadTexts:
asx4000RedundancyModule.setDescription('The Fore ASX-4000 redundancy mib.')
asx4000_red_fabric_group = mib_identifier((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 1))
asx4000_red_port_card_group = mib_identifier((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 2))
asx4000_redundancy_group = mib_identifier((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 3))
asx4000_red_netmod_group = mib_identifier((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 4))
class Asx4000Redundancystate(Integer32):
subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6, 7, 8))
named_values = named_values(('initializing', 1), ('cloning', 2), ('testing', 3), ('unprotected', 4), ('passive', 5), ('errored-detected', 6), ('armed', 7), ('requalifying', 8))
asx4000_red_fabric_table = mib_table((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 1, 1))
if mibBuilder.loadTexts:
asx4000RedFabricTable.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedFabricTable.setDescription('A table of fabric entries.')
asx4000_red_fabric_entry = mib_table_row((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 1, 1, 1)).setIndexNames((0, 'Fore-Redundancy-MIB', 'asx4000RedFabricIndex'))
if mibBuilder.loadTexts:
asx4000RedFabricEntry.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedFabricEntry.setDescription('A table entry containing fabric information.')
asx4000_red_fabric_index = mib_table_column((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 1, 1, 1, 1), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
asx4000RedFabricIndex.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedFabricIndex.setDescription('The index of this fabric')
asx4000_red_fabric_admin_mode = mib_table_column((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 1, 1, 1, 2), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('working', 1), ('protection', 2), ('unprotected', 3)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
asx4000RedFabricAdminMode.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedFabricAdminMode.setDescription('The admin mode for this fabric')
asx4000_red_fabric_oper_state = mib_table_column((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 1, 1, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('active', 1), ('standby', 2), ('unprotected', 3)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
asx4000RedFabricOperState.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedFabricOperState.setDescription('The oper state for this fabric')
asx4000_red_fabric_pending_admin_mode = mib_table_column((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 1, 1, 1, 4), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4))).clone(namedValues=named_values(('working', 1), ('protection', 2), ('unprotected', 3), ('none', 4)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
asx4000RedFabricPendingAdminMode.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedFabricPendingAdminMode.setDescription('This variable is used to set the value for admin mode for this fabric.The asx4000RedFabricAdminMode variable is set to this value on setting the asx4000RedFabricCommit variable')
asx4000_red_fabric_committed_state = mib_table_column((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 1, 1, 1, 5), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('no', 1), ('yes', 2)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
asx4000RedFabricCommittedState.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedFabricCommittedState.setDescription('This variable indicates if a command has been committed for this particular fabric.')
asx4000_red_fabric_cloning_state = mib_table_column((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 1, 1, 1, 6), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('done', 1), ('inprogress', 2), ('notApplicable', 3)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
asx4000RedFabricCloningState.setStatus('deprecated')
if mibBuilder.loadTexts:
asx4000RedFabricCloningState.setDescription('The cloning state of this fabric')
asx4000_red_fabric_switch_command = mib_table_column((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 1, 1, 1, 7), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('active', 1), ('standby', 2)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
asx4000RedFabricSwitchCommand.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedFabricSwitchCommand.setDescription('User initiated command at fabric level switchovers. Setting this variable with the following values causes the switchover to happen as explained. active - causes a switchover to active for this fabric standy - causes a switchover to standby for this fabric Note this object is write-only and reading it will result in implementation-specific results.')
asx4000_red_fabric_redundancy_state = mib_table_column((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 1, 1, 1, 8), asx4000_redundancy_state()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
asx4000RedFabricRedundancyState.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedFabricRedundancyState.setDescription('This is the current redundancy state of th efabric. The possible values for this variable are dependent upon whether the fabric is protected or not, and whether it supports passive or active redundancy.')
asx4000_red_fabric_group_commit = mib_scalar((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1))).clone(namedValues=named_values(('commit', 1)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
asx4000RedFabricGroupCommit.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedFabricGroupCommit.setDescription(' A command to commit a fabric group configuration Note this object is write-only and reading it will result in implementation-specific results.')
asx4000_red_port_card_table = mib_table((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 2, 1))
if mibBuilder.loadTexts:
asx4000RedPortCardTable.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedPortCardTable.setDescription('A table of 4000Red Portcard information.')
asx4000_red_port_card_entry = mib_table_row((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 2, 1, 1)).setIndexNames((0, 'Fore-Redundancy-MIB', 'asx4000RedPortCardFabIndex'), (0, 'Fore-Redundancy-MIB', 'asx4000RedPortCardIndex'))
if mibBuilder.loadTexts:
asx4000RedPortCardEntry.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedPortCardEntry.setDescription('A table entry containing portcard information.')
asx4000_red_port_card_fab_index = mib_table_column((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 2, 1, 1, 1), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
asx4000RedPortCardFabIndex.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedPortCardFabIndex.setDescription('The fabric index this portcard is connected to')
asx4000_red_port_card_index = mib_table_column((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 2, 1, 1, 2), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('ab', 1), ('cd', 2)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
asx4000RedPortCardIndex.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedPortCardIndex.setDescription('The netmod pair index of this portcard')
asx4000_red_port_card_cloning_state = mib_table_column((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 2, 1, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('done', 1), ('inprogress', 2), ('notApplicable', 3)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
asx4000RedPortCardCloningState.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedPortCardCloningState.setDescription('The netmod pair index of this portcard')
asx4000_redundancy_group_table = mib_table((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 3, 1))
if mibBuilder.loadTexts:
asx4000RedundancyGroupTable.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedundancyGroupTable.setDescription('This is the Redundancy Group table.')
asx4000_redundancy_group_entry = mib_table_row((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 3, 1, 1)).setIndexNames((0, 'Fore-Redundancy-MIB', 'asx4000RedGroupName'))
if mibBuilder.loadTexts:
asx4000RedundancyGroupEntry.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedundancyGroupEntry.setDescription('This is a Redundancy Group entry, which represents the configuration of a working and protection fabric and their associated portcards.')
asx4000_red_group_name = mib_table_column((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 3, 1, 1, 1), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('r12', 1), ('r34', 2)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
asx4000RedGroupName.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedGroupName.setDescription('This is the redundancy group name. A redundancy group name identifies a working and protection fabric and their associated portcards are a single unit.')
asx4000_red_group_revert_mode = mib_table_column((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 3, 1, 1, 2), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('on', 1), ('off', 2))).clone('off')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
asx4000RedGroupRevertMode.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedGroupRevertMode.setDescription('This is the revert mode for this redundancy group. If the revert mode is on(1), automatic switchover from the protection fabric to the working fabric will occur if the working fabric becomes available. Setting the revert mode to off(2) disables this behavior.')
asx4000_red_group_qualify_timer = mib_table_column((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 3, 1, 1, 3), integer32().clone(5)).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
asx4000RedGroupQualifyTimer.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedGroupQualifyTimer.setDescription('This is the qualification timer in minutes for this redundancy group. For fabric and portcards that support active redundancy, asx4000RedGroupQualifyTimer is the number of minutes that an errored fabric or portcard must undergo error-free loopback testing before being declared as an available fabric or portcard. This timer has no effect for fabrics and portcards that do not support active redundancy.')
asx4000_red_group_error_threshold = mib_table_column((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 3, 1, 1, 4), integer32().clone(2)).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
asx4000RedGroupErrorThreshold.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedGroupErrorThreshold.setDescription('This is the loopback error threshold in cells for this redundancy group. For fabrics and portcards that support active redundancy, if the number of loopback cell errors equals or exceeds asx4000RedGroupErrorThreshold during the past asx4000RedGroupErrorBlockSize loopback cells, then an error condition is declared for the loopback components. Setting this error threshold to zero (0) disables error checking. The maximum value is the error block size asx4000RedGroupErrorBlockSize.')
asx4000_red_group_error_block_size = mib_table_column((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 3, 1, 1, 5), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
asx4000RedGroupErrorBlockSize.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedGroupErrorBlockSize.setDescription('This is the loopback error block size in cells for this redundancy group. For fabrics and portcards that support active redundancy, this is the number of consecutive loopback cells over which the error threshold asx4000RedGroupErrorThreshold will be applied.')
asx4000_red_netmod_table = mib_table((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 4, 1))
if mibBuilder.loadTexts:
asx4000RedNetmodTable.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedNetmodTable.setDescription('A table of 4000Red Netmod information.')
asx4000_red_netmod_entry = mib_table_row((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 4, 1, 1)).setIndexNames((0, 'Fore-Redundancy-MIB', 'asx4000RedNetmodFabIndex'), (0, 'Fore-Redundancy-MIB', 'asx4000RedNetmodIndex'))
if mibBuilder.loadTexts:
asx4000RedNetmodEntry.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedNetmodEntry.setDescription('A table entry containing netmod information.')
asx4000_red_netmod_fab_index = mib_table_column((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 4, 1, 1, 1), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
asx4000RedNetmodFabIndex.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedNetmodFabIndex.setDescription('The fabric index this netmod is connected to')
asx4000_red_netmod_index = mib_table_column((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 4, 1, 1, 2), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
asx4000RedNetmodIndex.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedNetmodIndex.setDescription('The netmod index of this netmod')
asx4000_red_netmod_redundancy_state = mib_table_column((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 4, 1, 1, 3), asx4000_redundancy_state()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
asx4000RedNetmodRedundancyState.setStatus('current')
if mibBuilder.loadTexts:
asx4000RedNetmodRedundancyState.setDescription('This is the current redundancy state of the netmod. The possible values for this variable are dependent upon whether the fabric to which this netmod is connection to is protected or not, and whether it supports passive or active redundancy.')
redundancy_fabric_switchover = notification_type((1, 3, 6, 1, 4, 1, 326, 2, 2, 0, 2018)).setObjects(('Fore-Redundancy-MIB', 'asx4000RedFabricIndex'), ('Fore-TrapLog-MIB', 'trapLogIndex'))
if mibBuilder.loadTexts:
redundancyFabricSwitchover.setStatus('current')
if mibBuilder.loadTexts:
redundancyFabricSwitchover.setDescription('This trap reports the change of active fabric due to an automatic or revertive switchover. The fabric identified by the trap variable asx4000RedFabricIndex is the newly active fabric.')
redundancy_fabric_error_cleared = notification_type((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 0, 2)).setObjects(('Fore-Redundancy-MIB', 'asx4000RedFabricIndex'), ('Fore-TrapLog-MIB', 'trapLogIndex'))
if mibBuilder.loadTexts:
redundancyFabricErrorCleared.setStatus('current')
if mibBuilder.loadTexts:
redundancyFabricErrorCleared.setDescription('This trap reports the clearing of the active redundancy fabric error for the fabric identified by the trap variable asx4000RedFabricIndex.')
redundancy_fabric_error_detected = notification_type((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 0, 3)).setObjects(('Fore-Redundancy-MIB', 'asx4000RedFabricIndex'), ('Fore-TrapLog-MIB', 'trapLogIndex'))
if mibBuilder.loadTexts:
redundancyFabricErrorDetected.setStatus('current')
if mibBuilder.loadTexts:
redundancyFabricErrorDetected.setDescription('This trap reports the declaration of the active redundancy fabric error for the fabric identified by the trap variable asx4000RedFabricIndex.')
redundancy_netmod_error_cleared = notification_type((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 0, 4)).setObjects(('Fore-Redundancy-MIB', 'asx4000RedNetmodFabIndex'), ('Fore-Redundancy-MIB', 'asx4000RedNetmodIndex'), ('Fore-TrapLog-MIB', 'trapLogIndex'))
if mibBuilder.loadTexts:
redundancyNetmodErrorCleared.setStatus('current')
if mibBuilder.loadTexts:
redundancyNetmodErrorCleared.setDescription('This trap reports the clearing of the active redundancy netmod error for the netmod identified by the trap variables asx4000RedNetmodFabIndex and asx4000RedNetmodIndex.')
redundancy_netmod_error_detected = notification_type((1, 3, 6, 1, 4, 1, 326, 2, 2, 1, 9, 0, 5)).setObjects(('Fore-Redundancy-MIB', 'asx4000RedNetmodFabIndex'), ('Fore-Redundancy-MIB', 'asx4000RedNetmodIndex'), ('Fore-TrapLog-MIB', 'trapLogIndex'))
if mibBuilder.loadTexts:
redundancyNetmodErrorDetected.setStatus('current')
if mibBuilder.loadTexts:
redundancyNetmodErrorDetected.setDescription('This trap reports the declaration of the active redundancy netmod error for the netmod identified by the trap variables asx4000RedNetmodFabIndex and asx4000RedNetmodIndex.')
mibBuilder.exportSymbols('Fore-Redundancy-MIB', asx4000RedNetmodEntry=asx4000RedNetmodEntry, PYSNMP_MODULE_ID=asx4000RedundancyModule, redundancyFabricSwitchover=redundancyFabricSwitchover, asx4000RedPortCardFabIndex=asx4000RedPortCardFabIndex, redundancyNetmodErrorDetected=redundancyNetmodErrorDetected, asx4000RedFabricCommittedState=asx4000RedFabricCommittedState, asx4000RedGroupErrorBlockSize=asx4000RedGroupErrorBlockSize, asx4000RedFabricIndex=asx4000RedFabricIndex, asx4000RedPortCardGroup=asx4000RedPortCardGroup, asx4000RedFabricEntry=asx4000RedFabricEntry, asx4000RedFabricAdminMode=asx4000RedFabricAdminMode, asx4000RedPortCardTable=asx4000RedPortCardTable, asx4000RedPortCardEntry=asx4000RedPortCardEntry, asx4000RedFabricPendingAdminMode=asx4000RedFabricPendingAdminMode, redundancyNetmodErrorCleared=redundancyNetmodErrorCleared, asx4000RedundancyGroupTable=asx4000RedundancyGroupTable, asx4000RedFabricOperState=asx4000RedFabricOperState, asx4000RedFabricTable=asx4000RedFabricTable, asx4000RedNetmodGroup=asx4000RedNetmodGroup, asx4000RedGroupRevertMode=asx4000RedGroupRevertMode, asx4000RedGroupErrorThreshold=asx4000RedGroupErrorThreshold, asx4000RedFabricGroupCommit=asx4000RedFabricGroupCommit, asx4000RedFabricCloningState=asx4000RedFabricCloningState, redundancyFabricErrorDetected=redundancyFabricErrorDetected, asx4000RedFabricSwitchCommand=asx4000RedFabricSwitchCommand, asx4000RedGroupQualifyTimer=asx4000RedGroupQualifyTimer, Asx4000RedundancyState=Asx4000RedundancyState, asx4000RedundancyModule=asx4000RedundancyModule, asx4000RedNetmodTable=asx4000RedNetmodTable, asx4000RedNetmodRedundancyState=asx4000RedNetmodRedundancyState, asx4000RedNetmodIndex=asx4000RedNetmodIndex, asx4000RedPortCardCloningState=asx4000RedPortCardCloningState, redundancyFabricErrorCleared=redundancyFabricErrorCleared, asx4000RedundancyGroupEntry=asx4000RedundancyGroupEntry, asx4000RedPortCardIndex=asx4000RedPortCardIndex, asx4000RedNetmodFabIndex=asx4000RedNetmodFabIndex, asx4000RedFabricRedundancyState=asx4000RedFabricRedundancyState, asx4000RedundancyGroup=asx4000RedundancyGroup, asx4000RedGroupName=asx4000RedGroupName, asx4000RedFabricGroup=asx4000RedFabricGroup) |
x=[10,20,30,40,50,60,70,80,90,100]
num=0
p=0
sum=0
print('Enter positions to add no.s')
p= int(input())
p= p+1
while num<p:
sum=x[num]+sum
num=num+1
print(sum) | x = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100]
num = 0
p = 0
sum = 0
print('Enter positions to add no.s')
p = int(input())
p = p + 1
while num < p:
sum = x[num] + sum
num = num + 1
print(sum) |
#!/usr/bin/env python3
# display a welcome message
print("The Miles Per Gallon application")
print()
another_trip = "y"
while another_trip == "y":
# get input from the user
miles_driven = float(input("Enter miles driven: "))
gallons_used = float(input("Enter gallons of gas used: "))
cost_per_gallon = float(input("Enter cost per gallon: "))
if miles_driven <= 0:
print("Miles driven must be greater than zero. Please try again.")
elif gallons_used <= 0:
print("Gallons used must be greater than zero. Please try again.")
elif cost_per_gallon <= 0:
print("Cost per gallon must be greater than zero. Please try again.")
else:
# calculate and display
mpg = round((miles_driven / gallons_used), 2)
total_gas_cost = round(gallons_used * cost_per_gallon, 1)
cost_per_mile = round(total_gas_cost / miles_driven, 1)
print()
print("Miles Per Gallon: ", mpg)
print("Total Gas Cost: ", total_gas_cost)
print("Cost Per Mile: ", cost_per_mile)
print()
another_trip = input("Get entries for another trip (y/n)? ")
print()
print("Bye")
| print('The Miles Per Gallon application')
print()
another_trip = 'y'
while another_trip == 'y':
miles_driven = float(input('Enter miles driven: '))
gallons_used = float(input('Enter gallons of gas used: '))
cost_per_gallon = float(input('Enter cost per gallon: '))
if miles_driven <= 0:
print('Miles driven must be greater than zero. Please try again.')
elif gallons_used <= 0:
print('Gallons used must be greater than zero. Please try again.')
elif cost_per_gallon <= 0:
print('Cost per gallon must be greater than zero. Please try again.')
else:
mpg = round(miles_driven / gallons_used, 2)
total_gas_cost = round(gallons_used * cost_per_gallon, 1)
cost_per_mile = round(total_gas_cost / miles_driven, 1)
print()
print('Miles Per Gallon: ', mpg)
print('Total Gas Cost: ', total_gas_cost)
print('Cost Per Mile: ', cost_per_mile)
print()
another_trip = input('Get entries for another trip (y/n)? ')
print()
print('Bye') |
# Class based on employee - separating to check decorators
class Player:
def __init__(self, first, last):
self.first = first
self.last = last
def email(self):
return '{}.{}@email.com'.format(self.first, self.last)
@property
def fullname(self):
return '{} {}'.format(self.first, self.last)
@fullname.setter
def fullname(self, name):
first, last = name.split(' ')
self.first = first
self.last = last
@fullname.deleter
def fullname(self):
self.first = None
self.last = None
ply1 = Player("John", "Smith")
ply1.first = "Paul"
print(ply1.first)
print(ply1.email())
print(ply1.fullname)
del ply1.fullname
print(ply1.fullname) | class Player:
def __init__(self, first, last):
self.first = first
self.last = last
def email(self):
return '{}.{}@email.com'.format(self.first, self.last)
@property
def fullname(self):
return '{} {}'.format(self.first, self.last)
@fullname.setter
def fullname(self, name):
(first, last) = name.split(' ')
self.first = first
self.last = last
@fullname.deleter
def fullname(self):
self.first = None
self.last = None
ply1 = player('John', 'Smith')
ply1.first = 'Paul'
print(ply1.first)
print(ply1.email())
print(ply1.fullname)
del ply1.fullname
print(ply1.fullname) |
n = int(input().strip())
a = list(map(int, input().strip().split(' ')))
swaps = 0
for i in range(n):
for j in range(n - 1):
if(a[j] > a[j + 1]):
a[j], a[j + 1] = a[j + 1], a[j]
swaps += 1
print('Array is sorted in {} swaps.'.format(swaps))
print('First Element: {}'.format(a.pop(0)))
print('Last Element: {}'.format(a.pop()))
| n = int(input().strip())
a = list(map(int, input().strip().split(' ')))
swaps = 0
for i in range(n):
for j in range(n - 1):
if a[j] > a[j + 1]:
(a[j], a[j + 1]) = (a[j + 1], a[j])
swaps += 1
print('Array is sorted in {} swaps.'.format(swaps))
print('First Element: {}'.format(a.pop(0)))
print('Last Element: {}'.format(a.pop())) |
problems = input().split(";")
count = 0
for problem in problems:
if "-" in problem:
split_problem = problem.split("-")
count += int(split_problem[1]) - int(split_problem[0]) + 1
else:
count += 1
print(count)
| problems = input().split(';')
count = 0
for problem in problems:
if '-' in problem:
split_problem = problem.split('-')
count += int(split_problem[1]) - int(split_problem[0]) + 1
else:
count += 1
print(count) |
def isFib(x):
a=0
b=1
if x==a:
return True
if x==b:
return True
n=2
while(b<x):
t=a+b
a=b
b=t
#print(b)
n += 1
if x == b:
return True
return False
for i in range(0,20):
print(i,isFib(i)) | def is_fib(x):
a = 0
b = 1
if x == a:
return True
if x == b:
return True
n = 2
while b < x:
t = a + b
a = b
b = t
n += 1
if x == b:
return True
return False
for i in range(0, 20):
print(i, is_fib(i)) |
#
# PySNMP MIB module DNOS-METRO-DOT1AG-PRIVATE-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/DNOS-METRO-DOT1AG-PRIVATE-MIB
# Produced by pysmi-0.3.4 at Wed May 1 12:51:46 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
OctetString, Integer, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "OctetString", "Integer", "ObjectIdentifier")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ValueRangeConstraint, SingleValueConstraint, ConstraintsUnion, ConstraintsIntersection, ValueSizeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueRangeConstraint", "SingleValueConstraint", "ConstraintsUnion", "ConstraintsIntersection", "ValueSizeConstraint")
dnOS, = mibBuilder.importSymbols("DELL-REF-MIB", "dnOS")
IANAifType, = mibBuilder.importSymbols("IANAifType-MIB", "IANAifType")
ifIndex, InterfaceIndex = mibBuilder.importSymbols("IF-MIB", "ifIndex", "InterfaceIndex")
ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup")
Bits, iso, MibIdentifier, MibScalar, MibTable, MibTableRow, MibTableColumn, Counter64, ObjectIdentity, TimeTicks, NotificationType, ModuleIdentity, IpAddress, Counter32, Unsigned32, Integer32, Gauge32 = mibBuilder.importSymbols("SNMPv2-SMI", "Bits", "iso", "MibIdentifier", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Counter64", "ObjectIdentity", "TimeTicks", "NotificationType", "ModuleIdentity", "IpAddress", "Counter32", "Unsigned32", "Integer32", "Gauge32")
RowPointer, TruthValue, RowStatus, DisplayString, MacAddress, StorageType, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "RowPointer", "TruthValue", "RowStatus", "DisplayString", "MacAddress", "StorageType", "TextualConvention")
fastPathDot1agPrivateMIB = ModuleIdentity((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45))
fastPathDot1agPrivateMIB.setRevisions(('2011-01-26 00:00', '2008-05-27 00:00',))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts: fastPathDot1agPrivateMIB.setRevisionsDescriptions(('Postal address updated.', 'Initial vertion.',))
if mibBuilder.loadTexts: fastPathDot1agPrivateMIB.setLastUpdated('201101260000Z')
if mibBuilder.loadTexts: fastPathDot1agPrivateMIB.setOrganization('Dell, Inc.')
if mibBuilder.loadTexts: fastPathDot1agPrivateMIB.setContactInfo('')
if mibBuilder.loadTexts: fastPathDot1agPrivateMIB.setDescription('The Broadcom Private MIB for DNOS Dot1ag')
dot1agGlobalConfigGroup = MibIdentifier((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 1))
dot1agMipConfigGroup = MibIdentifier((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 2))
dot1agRMepConfigGroup = MibIdentifier((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 3))
agentDot1agGlobalConfigGroup = MibIdentifier((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 1, 1))
agentDot1agCfmStatus = MibScalar((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 1, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enable", 1), ("disable", 2))).clone('disable')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: agentDot1agCfmStatus.setStatus('current')
if mibBuilder.loadTexts: agentDot1agCfmStatus.setDescription('Enable or Disable Global CFM Mode.')
agentDot1agCfmArchieveHoldTime = MibScalar((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 1, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 65535))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: agentDot1agCfmArchieveHoldTime.setStatus('current')
if mibBuilder.loadTexts: agentDot1agCfmArchieveHoldTime.setDescription('Specify Archieve Hold Time in Seconds. Time to hold the inactive Remote MEPs')
agentDot1agCfmClearRemoteMEPs = MibScalar((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 1, 1, 3), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 1))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: agentDot1agCfmClearRemoteMEPs.setStatus('current')
if mibBuilder.loadTexts: agentDot1agCfmClearRemoteMEPs.setDescription('Clear ALL Remote MEPs')
agentDot1agCfmClearTraceRouteCache = MibScalar((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 1, 1, 4), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 1))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: agentDot1agCfmClearTraceRouteCache.setStatus('current')
if mibBuilder.loadTexts: agentDot1agCfmClearTraceRouteCache.setDescription('Clear TraceRoute Cache')
agentDot1agMipConfigGroup = MibIdentifier((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 2, 1))
agentDot1agMipTable = MibTable((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 2, 1, 1), )
if mibBuilder.loadTexts: agentDot1agMipTable.setStatus('current')
if mibBuilder.loadTexts: agentDot1agMipTable.setDescription('A table entries specifying the Dot1ag CFM MIP Details')
agentDot1agMipEntry = MibTableRow((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 2, 1, 1, 1), ).setIndexNames((0, "DNOS-METRO-DOT1AG-PRIVATE-MIB", "agentDot1agMipMdIndex"), (0, "DNOS-METRO-DOT1AG-PRIVATE-MIB", "agentDot1agMipIfIndex"))
if mibBuilder.loadTexts: agentDot1agMipEntry.setStatus('current')
if mibBuilder.loadTexts: agentDot1agMipEntry.setDescription('Represents a Dot1ag MIP Table.')
agentDot1agMipMdIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 2, 1, 1, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 4294967295)))
if mibBuilder.loadTexts: agentDot1agMipMdIndex.setStatus('current')
if mibBuilder.loadTexts: agentDot1agMipMdIndex.setDescription(' The index of the Maintenance Domain in the agentDot1agMipTable to which the MP is associated. ')
agentDot1agMipIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 2, 1, 1, 1, 2), InterfaceIndex())
if mibBuilder.loadTexts: agentDot1agMipIfIndex.setStatus('current')
if mibBuilder.loadTexts: agentDot1agMipIfIndex.setDescription('Dot1ag CFM MIP Interface Index.')
agentDot1agMipMode = MibTableColumn((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 2, 1, 1, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enable", 1), ("disable", 2))).clone('disable')).setMaxAccess("readcreate")
if mibBuilder.loadTexts: agentDot1agMipMode.setStatus('current')
if mibBuilder.loadTexts: agentDot1agMipMode.setDescription('Enable or Disable MIP CFM Mode.')
agentDot1agRMepConfigGroup = MibIdentifier((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 3, 1))
agentDot1agRMepTable = MibTable((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 3, 1, 1), )
if mibBuilder.loadTexts: agentDot1agRMepTable.setStatus('current')
if mibBuilder.loadTexts: agentDot1agRMepTable.setDescription('A table to configure the Dot1ag CFM Remote MEP entries')
agentDot1agRMepEntry = MibTableRow((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 3, 1, 1, 1), ).setIndexNames((0, "DNOS-METRO-DOT1AG-PRIVATE-MIB", "agentDot1agRMepMdIndex"), (0, "DNOS-METRO-DOT1AG-PRIVATE-MIB", "agentDot1agRMepMaIndex"), (0, "DNOS-METRO-DOT1AG-PRIVATE-MIB", "agentDot1agRMepMepIdIndex"), (0, "DNOS-METRO-DOT1AG-PRIVATE-MIB", "agentDot1agRMepIdentifier"))
if mibBuilder.loadTexts: agentDot1agRMepEntry.setStatus('current')
if mibBuilder.loadTexts: agentDot1agRMepEntry.setDescription('Represents a Dot1ag Remote MEP Table.')
agentDot1agRMepMdIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 3, 1, 1, 1, 1), Unsigned32())
if mibBuilder.loadTexts: agentDot1agRMepMdIndex.setStatus('current')
if mibBuilder.loadTexts: agentDot1agRMepMdIndex.setDescription('The index of the Maintenance Domain in the agentDot1agRMepTable to which the Remote MEP is associated.')
agentDot1agRMepMaIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 3, 1, 1, 1, 2), Unsigned32())
if mibBuilder.loadTexts: agentDot1agRMepMaIndex.setStatus('current')
if mibBuilder.loadTexts: agentDot1agRMepMaIndex.setDescription('The index of the Maintenance Association in the agentDot1agRMepTable to which the Remote MEP is associated.')
agentDot1agRMepMepIdIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 3, 1, 1, 1, 3), Unsigned32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(0, 0), ValueRangeConstraint(1, 8191), )))
if mibBuilder.loadTexts: agentDot1agRMepMepIdIndex.setStatus('current')
if mibBuilder.loadTexts: agentDot1agRMepMepIdIndex.setDescription('The index of the Maintenance End point in the agentDot1agRMepTable to which the Remote MEP is associated.')
agentDot1agRMepIdentifier = MibTableColumn((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 3, 1, 1, 1, 4), Unsigned32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(0, 0), ValueRangeConstraint(1, 8191), ))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: agentDot1agRMepIdentifier.setStatus('current')
if mibBuilder.loadTexts: agentDot1agRMepIdentifier.setDescription('The index of the Remote Maintenance End point in the agentDot1agRMepTable.')
agentDot1agRMepIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 3, 1, 1, 1, 5), InterfaceIndex()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: agentDot1agRMepIfIndex.setStatus('current')
if mibBuilder.loadTexts: agentDot1agRMepIfIndex.setDescription('Interface Index in the agentDot1agRMepTable to which Remote MEP is associated')
agentDot1agRMepMacAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 3, 1, 1, 1, 6), MacAddress()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: agentDot1agRMepMacAddress.setStatus('current')
if mibBuilder.loadTexts: agentDot1agRMepMacAddress.setDescription('The MAC address of the remote MEP in the agentDot1agRMepTable')
agentDot1agRMepRowStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 3, 1, 1, 1, 7), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: agentDot1agRMepRowStatus.setStatus('current')
if mibBuilder.loadTexts: agentDot1agRMepRowStatus.setDescription('The status of the row. The writable columns in a row can not be changed if the row is active. All columns must have a valid value before a row can be activated. ')
mibBuilder.exportSymbols("DNOS-METRO-DOT1AG-PRIVATE-MIB", agentDot1agMipEntry=agentDot1agMipEntry, agentDot1agRMepMdIndex=agentDot1agRMepMdIndex, agentDot1agMipMdIndex=agentDot1agMipMdIndex, fastPathDot1agPrivateMIB=fastPathDot1agPrivateMIB, agentDot1agRMepIfIndex=agentDot1agRMepIfIndex, agentDot1agRMepMaIndex=agentDot1agRMepMaIndex, agentDot1agMipIfIndex=agentDot1agMipIfIndex, agentDot1agMipTable=agentDot1agMipTable, agentDot1agRMepMacAddress=agentDot1agRMepMacAddress, agentDot1agRMepConfigGroup=agentDot1agRMepConfigGroup, PYSNMP_MODULE_ID=fastPathDot1agPrivateMIB, dot1agRMepConfigGroup=dot1agRMepConfigGroup, agentDot1agCfmClearTraceRouteCache=agentDot1agCfmClearTraceRouteCache, agentDot1agCfmStatus=agentDot1agCfmStatus, dot1agGlobalConfigGroup=dot1agGlobalConfigGroup, agentDot1agRMepIdentifier=agentDot1agRMepIdentifier, agentDot1agCfmClearRemoteMEPs=agentDot1agCfmClearRemoteMEPs, agentDot1agCfmArchieveHoldTime=agentDot1agCfmArchieveHoldTime, agentDot1agRMepMepIdIndex=agentDot1agRMepMepIdIndex, dot1agMipConfigGroup=dot1agMipConfigGroup, agentDot1agMipMode=agentDot1agMipMode, agentDot1agRMepEntry=agentDot1agRMepEntry, agentDot1agRMepRowStatus=agentDot1agRMepRowStatus, agentDot1agMipConfigGroup=agentDot1agMipConfigGroup, agentDot1agRMepTable=agentDot1agRMepTable, agentDot1agGlobalConfigGroup=agentDot1agGlobalConfigGroup)
| (octet_string, integer, object_identifier) = mibBuilder.importSymbols('ASN1', 'OctetString', 'Integer', 'ObjectIdentifier')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(value_range_constraint, single_value_constraint, constraints_union, constraints_intersection, value_size_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ValueRangeConstraint', 'SingleValueConstraint', 'ConstraintsUnion', 'ConstraintsIntersection', 'ValueSizeConstraint')
(dn_os,) = mibBuilder.importSymbols('DELL-REF-MIB', 'dnOS')
(ian_aif_type,) = mibBuilder.importSymbols('IANAifType-MIB', 'IANAifType')
(if_index, interface_index) = mibBuilder.importSymbols('IF-MIB', 'ifIndex', 'InterfaceIndex')
(module_compliance, notification_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ModuleCompliance', 'NotificationGroup')
(bits, iso, mib_identifier, mib_scalar, mib_table, mib_table_row, mib_table_column, counter64, object_identity, time_ticks, notification_type, module_identity, ip_address, counter32, unsigned32, integer32, gauge32) = mibBuilder.importSymbols('SNMPv2-SMI', 'Bits', 'iso', 'MibIdentifier', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'Counter64', 'ObjectIdentity', 'TimeTicks', 'NotificationType', 'ModuleIdentity', 'IpAddress', 'Counter32', 'Unsigned32', 'Integer32', 'Gauge32')
(row_pointer, truth_value, row_status, display_string, mac_address, storage_type, textual_convention) = mibBuilder.importSymbols('SNMPv2-TC', 'RowPointer', 'TruthValue', 'RowStatus', 'DisplayString', 'MacAddress', 'StorageType', 'TextualConvention')
fast_path_dot1ag_private_mib = module_identity((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45))
fastPathDot1agPrivateMIB.setRevisions(('2011-01-26 00:00', '2008-05-27 00:00'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts:
fastPathDot1agPrivateMIB.setRevisionsDescriptions(('Postal address updated.', 'Initial vertion.'))
if mibBuilder.loadTexts:
fastPathDot1agPrivateMIB.setLastUpdated('201101260000Z')
if mibBuilder.loadTexts:
fastPathDot1agPrivateMIB.setOrganization('Dell, Inc.')
if mibBuilder.loadTexts:
fastPathDot1agPrivateMIB.setContactInfo('')
if mibBuilder.loadTexts:
fastPathDot1agPrivateMIB.setDescription('The Broadcom Private MIB for DNOS Dot1ag')
dot1ag_global_config_group = mib_identifier((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 1))
dot1ag_mip_config_group = mib_identifier((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 2))
dot1ag_r_mep_config_group = mib_identifier((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 3))
agent_dot1ag_global_config_group = mib_identifier((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 1, 1))
agent_dot1ag_cfm_status = mib_scalar((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 1, 1, 1), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('enable', 1), ('disable', 2))).clone('disable')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
agentDot1agCfmStatus.setStatus('current')
if mibBuilder.loadTexts:
agentDot1agCfmStatus.setDescription('Enable or Disable Global CFM Mode.')
agent_dot1ag_cfm_archieve_hold_time = mib_scalar((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 1, 1, 2), integer32().subtype(subtypeSpec=value_range_constraint(1, 65535))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
agentDot1agCfmArchieveHoldTime.setStatus('current')
if mibBuilder.loadTexts:
agentDot1agCfmArchieveHoldTime.setDescription('Specify Archieve Hold Time in Seconds. Time to hold the inactive Remote MEPs')
agent_dot1ag_cfm_clear_remote_me_ps = mib_scalar((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 1, 1, 3), integer32().subtype(subtypeSpec=value_range_constraint(1, 1))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
agentDot1agCfmClearRemoteMEPs.setStatus('current')
if mibBuilder.loadTexts:
agentDot1agCfmClearRemoteMEPs.setDescription('Clear ALL Remote MEPs')
agent_dot1ag_cfm_clear_trace_route_cache = mib_scalar((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 1, 1, 4), integer32().subtype(subtypeSpec=value_range_constraint(1, 1))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
agentDot1agCfmClearTraceRouteCache.setStatus('current')
if mibBuilder.loadTexts:
agentDot1agCfmClearTraceRouteCache.setDescription('Clear TraceRoute Cache')
agent_dot1ag_mip_config_group = mib_identifier((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 2, 1))
agent_dot1ag_mip_table = mib_table((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 2, 1, 1))
if mibBuilder.loadTexts:
agentDot1agMipTable.setStatus('current')
if mibBuilder.loadTexts:
agentDot1agMipTable.setDescription('A table entries specifying the Dot1ag CFM MIP Details')
agent_dot1ag_mip_entry = mib_table_row((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 2, 1, 1, 1)).setIndexNames((0, 'DNOS-METRO-DOT1AG-PRIVATE-MIB', 'agentDot1agMipMdIndex'), (0, 'DNOS-METRO-DOT1AG-PRIVATE-MIB', 'agentDot1agMipIfIndex'))
if mibBuilder.loadTexts:
agentDot1agMipEntry.setStatus('current')
if mibBuilder.loadTexts:
agentDot1agMipEntry.setDescription('Represents a Dot1ag MIP Table.')
agent_dot1ag_mip_md_index = mib_table_column((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 2, 1, 1, 1, 1), unsigned32().subtype(subtypeSpec=value_range_constraint(1, 4294967295)))
if mibBuilder.loadTexts:
agentDot1agMipMdIndex.setStatus('current')
if mibBuilder.loadTexts:
agentDot1agMipMdIndex.setDescription(' The index of the Maintenance Domain in the agentDot1agMipTable to which the MP is associated. ')
agent_dot1ag_mip_if_index = mib_table_column((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 2, 1, 1, 1, 2), interface_index())
if mibBuilder.loadTexts:
agentDot1agMipIfIndex.setStatus('current')
if mibBuilder.loadTexts:
agentDot1agMipIfIndex.setDescription('Dot1ag CFM MIP Interface Index.')
agent_dot1ag_mip_mode = mib_table_column((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 2, 1, 1, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('enable', 1), ('disable', 2))).clone('disable')).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
agentDot1agMipMode.setStatus('current')
if mibBuilder.loadTexts:
agentDot1agMipMode.setDescription('Enable or Disable MIP CFM Mode.')
agent_dot1ag_r_mep_config_group = mib_identifier((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 3, 1))
agent_dot1ag_r_mep_table = mib_table((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 3, 1, 1))
if mibBuilder.loadTexts:
agentDot1agRMepTable.setStatus('current')
if mibBuilder.loadTexts:
agentDot1agRMepTable.setDescription('A table to configure the Dot1ag CFM Remote MEP entries')
agent_dot1ag_r_mep_entry = mib_table_row((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 3, 1, 1, 1)).setIndexNames((0, 'DNOS-METRO-DOT1AG-PRIVATE-MIB', 'agentDot1agRMepMdIndex'), (0, 'DNOS-METRO-DOT1AG-PRIVATE-MIB', 'agentDot1agRMepMaIndex'), (0, 'DNOS-METRO-DOT1AG-PRIVATE-MIB', 'agentDot1agRMepMepIdIndex'), (0, 'DNOS-METRO-DOT1AG-PRIVATE-MIB', 'agentDot1agRMepIdentifier'))
if mibBuilder.loadTexts:
agentDot1agRMepEntry.setStatus('current')
if mibBuilder.loadTexts:
agentDot1agRMepEntry.setDescription('Represents a Dot1ag Remote MEP Table.')
agent_dot1ag_r_mep_md_index = mib_table_column((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 3, 1, 1, 1, 1), unsigned32())
if mibBuilder.loadTexts:
agentDot1agRMepMdIndex.setStatus('current')
if mibBuilder.loadTexts:
agentDot1agRMepMdIndex.setDescription('The index of the Maintenance Domain in the agentDot1agRMepTable to which the Remote MEP is associated.')
agent_dot1ag_r_mep_ma_index = mib_table_column((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 3, 1, 1, 1, 2), unsigned32())
if mibBuilder.loadTexts:
agentDot1agRMepMaIndex.setStatus('current')
if mibBuilder.loadTexts:
agentDot1agRMepMaIndex.setDescription('The index of the Maintenance Association in the agentDot1agRMepTable to which the Remote MEP is associated.')
agent_dot1ag_r_mep_mep_id_index = mib_table_column((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 3, 1, 1, 1, 3), unsigned32().subtype(subtypeSpec=constraints_union(value_range_constraint(0, 0), value_range_constraint(1, 8191))))
if mibBuilder.loadTexts:
agentDot1agRMepMepIdIndex.setStatus('current')
if mibBuilder.loadTexts:
agentDot1agRMepMepIdIndex.setDescription('The index of the Maintenance End point in the agentDot1agRMepTable to which the Remote MEP is associated.')
agent_dot1ag_r_mep_identifier = mib_table_column((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 3, 1, 1, 1, 4), unsigned32().subtype(subtypeSpec=constraints_union(value_range_constraint(0, 0), value_range_constraint(1, 8191)))).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
agentDot1agRMepIdentifier.setStatus('current')
if mibBuilder.loadTexts:
agentDot1agRMepIdentifier.setDescription('The index of the Remote Maintenance End point in the agentDot1agRMepTable.')
agent_dot1ag_r_mep_if_index = mib_table_column((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 3, 1, 1, 1, 5), interface_index()).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
agentDot1agRMepIfIndex.setStatus('current')
if mibBuilder.loadTexts:
agentDot1agRMepIfIndex.setDescription('Interface Index in the agentDot1agRMepTable to which Remote MEP is associated')
agent_dot1ag_r_mep_mac_address = mib_table_column((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 3, 1, 1, 1, 6), mac_address()).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
agentDot1agRMepMacAddress.setStatus('current')
if mibBuilder.loadTexts:
agentDot1agRMepMacAddress.setDescription('The MAC address of the remote MEP in the agentDot1agRMepTable')
agent_dot1ag_r_mep_row_status = mib_table_column((1, 3, 6, 1, 4, 1, 674, 10895, 5000, 2, 6132, 1, 1, 45, 3, 1, 1, 1, 7), row_status()).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
agentDot1agRMepRowStatus.setStatus('current')
if mibBuilder.loadTexts:
agentDot1agRMepRowStatus.setDescription('The status of the row. The writable columns in a row can not be changed if the row is active. All columns must have a valid value before a row can be activated. ')
mibBuilder.exportSymbols('DNOS-METRO-DOT1AG-PRIVATE-MIB', agentDot1agMipEntry=agentDot1agMipEntry, agentDot1agRMepMdIndex=agentDot1agRMepMdIndex, agentDot1agMipMdIndex=agentDot1agMipMdIndex, fastPathDot1agPrivateMIB=fastPathDot1agPrivateMIB, agentDot1agRMepIfIndex=agentDot1agRMepIfIndex, agentDot1agRMepMaIndex=agentDot1agRMepMaIndex, agentDot1agMipIfIndex=agentDot1agMipIfIndex, agentDot1agMipTable=agentDot1agMipTable, agentDot1agRMepMacAddress=agentDot1agRMepMacAddress, agentDot1agRMepConfigGroup=agentDot1agRMepConfigGroup, PYSNMP_MODULE_ID=fastPathDot1agPrivateMIB, dot1agRMepConfigGroup=dot1agRMepConfigGroup, agentDot1agCfmClearTraceRouteCache=agentDot1agCfmClearTraceRouteCache, agentDot1agCfmStatus=agentDot1agCfmStatus, dot1agGlobalConfigGroup=dot1agGlobalConfigGroup, agentDot1agRMepIdentifier=agentDot1agRMepIdentifier, agentDot1agCfmClearRemoteMEPs=agentDot1agCfmClearRemoteMEPs, agentDot1agCfmArchieveHoldTime=agentDot1agCfmArchieveHoldTime, agentDot1agRMepMepIdIndex=agentDot1agRMepMepIdIndex, dot1agMipConfigGroup=dot1agMipConfigGroup, agentDot1agMipMode=agentDot1agMipMode, agentDot1agRMepEntry=agentDot1agRMepEntry, agentDot1agRMepRowStatus=agentDot1agRMepRowStatus, agentDot1agMipConfigGroup=agentDot1agMipConfigGroup, agentDot1agRMepTable=agentDot1agRMepTable, agentDot1agGlobalConfigGroup=agentDot1agGlobalConfigGroup) |
class Person:
def __init__(self, name: str):
self.name = name
self.partner = None
def __str__(self):
return self.name
def marry(self, spouce): #: Person):
self.partner = spouce
spouce.partner = self
class Student(Person):
def __init__(self, name, ID: int):
self.name = name
self.ID = ID
| class Person:
def __init__(self, name: str):
self.name = name
self.partner = None
def __str__(self):
return self.name
def marry(self, spouce):
self.partner = spouce
spouce.partner = self
class Student(Person):
def __init__(self, name, ID: int):
self.name = name
self.ID = ID |
tour_stops = input()
original_stops = tour_stops
command = input()
while command != 'Travel':
current_action = command.split(':')
action = current_action[0]
if action == 'Add Stop':
index = int(current_action[1])
new_stop = current_action[2]
if 0 <= index <= len(tour_stops):
tour_stops = tour_stops[:index] + new_stop + tour_stops[index:]
print(tour_stops)
else:
print(tour_stops)
elif action == 'Remove Stop':
start_index = int(current_action[1])
end_index = int(current_action[2])
if 0 <= start_index <= len(tour_stops) and 0 <= end_index < len(tour_stops):
tour_stops = tour_stops[:start_index] + tour_stops[end_index+1:]
print(tour_stops)
else:
print(tour_stops)
elif action == 'Switch':
old_string = current_action[1]
new_string = current_action[2]
if old_string in tour_stops:
tour_stops = tour_stops.replace(old_string, new_string)
print(tour_stops)
else:
print(tour_stops)
command = input()
print(f"Ready for world tour! Planned stops: {tour_stops}")
| tour_stops = input()
original_stops = tour_stops
command = input()
while command != 'Travel':
current_action = command.split(':')
action = current_action[0]
if action == 'Add Stop':
index = int(current_action[1])
new_stop = current_action[2]
if 0 <= index <= len(tour_stops):
tour_stops = tour_stops[:index] + new_stop + tour_stops[index:]
print(tour_stops)
else:
print(tour_stops)
elif action == 'Remove Stop':
start_index = int(current_action[1])
end_index = int(current_action[2])
if 0 <= start_index <= len(tour_stops) and 0 <= end_index < len(tour_stops):
tour_stops = tour_stops[:start_index] + tour_stops[end_index + 1:]
print(tour_stops)
else:
print(tour_stops)
elif action == 'Switch':
old_string = current_action[1]
new_string = current_action[2]
if old_string in tour_stops:
tour_stops = tour_stops.replace(old_string, new_string)
print(tour_stops)
else:
print(tour_stops)
command = input()
print(f'Ready for world tour! Planned stops: {tour_stops}') |
Y = []
filepath = 'newdatay.csv'
with open(filepath) as fp:
line = fp.readline()
cnt = 1
while line:
print("Line {}: {}".format(cnt, line.strip()))
Y.append(float(line.strip()))
line = fp.readline()
cnt += 1
print (Y)
| y = []
filepath = 'newdatay.csv'
with open(filepath) as fp:
line = fp.readline()
cnt = 1
while line:
print('Line {}: {}'.format(cnt, line.strip()))
Y.append(float(line.strip()))
line = fp.readline()
cnt += 1
print(Y) |
# lextab.py. This file automatically created by PLY (version 3.11). Don't edit!
_tabversion = '3.10'
_lextokens = set(('AFTER', 'AND', 'ATTRIBUTE', 'BBOX', 'BEFORE', 'BETWEEN', 'BEYOND', 'COMMA', 'CONTAINS', 'CROSSES', 'DISJOINT', 'DIVIDE', 'DURATION', 'DURING', 'DWITHIN', 'ENVELOPE', 'EQ', 'EQUALS', 'FLOAT', 'GE', 'GEOMETRY', 'GT', 'ILIKE', 'IN', 'INTEGER', 'INTERSECTS', 'IS', 'LBRACKET', 'LE', 'LIKE', 'LPAREN', 'LT', 'MINUS', 'NE', 'NOT', 'NULL', 'OR', 'OVERLAPS', 'PLUS', 'QUOTED', 'RBRACKET', 'RELATE', 'RPAREN', 'TIME', 'TIMES', 'TOUCHES', 'UNITS', 'WITHIN', 'feet', 'kilometers', 'meters', 'nautical miles', 'statute miles'))
_lexreflags = 64
_lexliterals = ''
_lexstateinfo = {'INITIAL': 'inclusive'}
_lexstatere = {'INITIAL': 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None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, ('t_ENVELOPE', 'ENVELOPE'), None, ('t_UNITS', 'UNITS'), None, None, None, None, None, ('t_TIME', 'TIME'), ('t_DURATION', 'DURATION'), None, None, None, None, None, None, None, None, ('t_FLOAT', 'FLOAT'), None, ('t_INTEGER', 'INTEGER'), ('t_QUOTED', 'QUOTED'), None, None, ('t_ATTRIBUTE', 'ATTRIBUTE'), ('t_newline', 'newline'), (None, 'AND'), (None, 'GE'), (None, 'LBRACKET'), (None, 'LE'), (None, 'LPAREN'), (None, 'NE'), (None, 'OR'), (None, 'PLUS'), (None, 'RBRACKET'), (None, 'RPAREN'), (None, 'TIMES'), (None, 'COMMA'), (None, 'DIVIDE'), (None, 'EQ'), (None, 'GT'), (None, 'LT'), (None, 'MINUS')])]}
_lexstateignore = {'INITIAL': ' \t'}
_lexstateerrorf = {'INITIAL': 't_error'}
_lexstateeoff = {}
| _tabversion = '3.10'
_lextokens = set(('AFTER', 'AND', 'ATTRIBUTE', 'BBOX', 'BEFORE', 'BETWEEN', 'BEYOND', 'COMMA', 'CONTAINS', 'CROSSES', 'DISJOINT', 'DIVIDE', 'DURATION', 'DURING', 'DWITHIN', 'ENVELOPE', 'EQ', 'EQUALS', 'FLOAT', 'GE', 'GEOMETRY', 'GT', 'ILIKE', 'IN', 'INTEGER', 'INTERSECTS', 'IS', 'LBRACKET', 'LE', 'LIKE', 'LPAREN', 'LT', 'MINUS', 'NE', 'NOT', 'NULL', 'OR', 'OVERLAPS', 'PLUS', 'QUOTED', 'RBRACKET', 'RELATE', 'RPAREN', 'TIME', 'TIMES', 'TOUCHES', 'UNITS', 'WITHIN', 'feet', 'kilometers', 'meters', 'nautical miles', 'statute miles'))
_lexreflags = 64
_lexliterals = ''
_lexstateinfo = {'INITIAL': 'inclusive'}
_lexstatere = {'INITIAL': 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None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, ('t_ENVELOPE', 'ENVELOPE'), None, ('t_UNITS', 'UNITS'), None, None, None, None, None, ('t_TIME', 'TIME'), ('t_DURATION', 'DURATION'), None, None, None, None, None, None, None, None, ('t_FLOAT', 'FLOAT'), None, ('t_INTEGER', 'INTEGER'), ('t_QUOTED', 'QUOTED'), None, None, ('t_ATTRIBUTE', 'ATTRIBUTE'), ('t_newline', 'newline'), (None, 'AND'), (None, 'GE'), (None, 'LBRACKET'), (None, 'LE'), (None, 'LPAREN'), (None, 'NE'), (None, 'OR'), (None, 'PLUS'), (None, 'RBRACKET'), (None, 'RPAREN'), (None, 'TIMES'), (None, 'COMMA'), (None, 'DIVIDE'), (None, 'EQ'), (None, 'GT'), (None, 'LT'), (None, 'MINUS')])]}
_lexstateignore = {'INITIAL': ' \t'}
_lexstateerrorf = {'INITIAL': 't_error'}
_lexstateeoff = {} |
# AUTOGENERATED! DO NOT EDIT! File to edit: 00_core.ipynb (unless otherwise specified).
__all__ = ['kir']
# Cell
def kir(x):
" this is practice session"
return x/2 | __all__ = ['kir']
def kir(x):
""" this is practice session"""
return x / 2 |
## Non-idiomatic file reading statement
# No.1
def n13():
f = open('file.txt')
a = f.read()
f.close()
# No.2
def n14():
f = open(path, "rb")
result = do_something_with(f)
f.close()
# No.3
def n15():
f = open('file.ext')
try:
contents = f.read()
finally:
f.close()
# No.4
def n16():
file = open("welcome.txt")
file.close()
# No.5
def n17():
file_handle = open(path_to_file, 'r')
| def n13():
f = open('file.txt')
a = f.read()
f.close()
def n14():
f = open(path, 'rb')
result = do_something_with(f)
f.close()
def n15():
f = open('file.ext')
try:
contents = f.read()
finally:
f.close()
def n16():
file = open('welcome.txt')
file.close()
def n17():
file_handle = open(path_to_file, 'r') |
END = "\033[0m"
BOLD = "\033[1m"
RED = "\033[91m"
GREEN = "\033[92m"
YELLOW = "\033[93m"
BLUE = "\033[94m" | end = '\x1b[0m'
bold = '\x1b[1m'
red = '\x1b[91m'
green = '\x1b[92m'
yellow = '\x1b[93m'
blue = '\x1b[94m' |
junk_drawer = [3, 4]
# Using the list provided, add a pen, a scrap paper, a 7.3 and a True element
junk_drawer.append('pen')
junk_drawer.append('scrap paper')
junk_drawer.append(7.3)
junk_drawer.append(True)
# What's the length of the list now?
# Save it in an object named drawer_length
drawer_length = len(junk_drawer)
# Slice the junk_drawer object to include the element 4 to scrap paper
# Save this in an object named `cleaned_junk_drawer`
cleaned_junk_drawer = junk_drawer[1:4]
# Next convert it into a set and name it junk_set
junk_set = set(junk_drawer)
junk_set
| junk_drawer = [3, 4]
junk_drawer.append('pen')
junk_drawer.append('scrap paper')
junk_drawer.append(7.3)
junk_drawer.append(True)
drawer_length = len(junk_drawer)
cleaned_junk_drawer = junk_drawer[1:4]
junk_set = set(junk_drawer)
junk_set |
#!python3
# https://www.hackerrank.com/challenges/make-it-anagram/
s1 = input()
s2 = input()
letters_s1 = {}
for c in s1:
if c not in letters_s1:
letters_s1[c] = 0
letters_s1[c] += 1
dels = 0
for c in s2:
if c not in letters_s1:
dels += 1
else:
letters_s1[c] -= 1
if letters_s1[c] == 0:
del(letters_s1[c])
dels += sum(letters_s1.values())
print(dels) | s1 = input()
s2 = input()
letters_s1 = {}
for c in s1:
if c not in letters_s1:
letters_s1[c] = 0
letters_s1[c] += 1
dels = 0
for c in s2:
if c not in letters_s1:
dels += 1
else:
letters_s1[c] -= 1
if letters_s1[c] == 0:
del letters_s1[c]
dels += sum(letters_s1.values())
print(dels) |
# 67. Add Binary
class Solution:
# Bit Manipulation
def addBinary(self, a: str, b: str) -> str:
x, y = int(a, 2), int(b, 2)
while y:
ans = x ^ y
carry = (x & y) << 1
x, y = ans, carry
| class Solution:
def add_binary(self, a: str, b: str) -> str:
(x, y) = (int(a, 2), int(b, 2))
while y:
ans = x ^ y
carry = (x & y) << 1
(x, y) = (ans, carry) |
###################### Code By - ORASHAR #########################
###################### Age check fro child, teen or adult #########################
try:
n = int(input("Enter the number: "))
if n < 10:
print("child")
elif n <= 18:
print("teenager")
else:
print("adult")
except:
print("Invalid input!")
| try:
n = int(input('Enter the number: '))
if n < 10:
print('child')
elif n <= 18:
print('teenager')
else:
print('adult')
except:
print('Invalid input!') |
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution(object):
def zigzagLevelOrder(self, root):
cur_st = []
next_st = []
data = []
left2right = 0
if root:
cur_st.append(root)
while cur_st:
cur_data = []
while cur_st:
node = cur_st.pop()
if left2right:
if node.right:
next_st.append(node.right)
if node.left:
next_st.append(node.left)
else:
if node.left:
next_st.append(node.left)
if node.right:
next_st.append(node.right)
cur_data.append(node.val)
data.append(cur_data)
left2right ^= 1
cur_st = next_st
next_st = []
return data
| class Solution(object):
def zigzag_level_order(self, root):
cur_st = []
next_st = []
data = []
left2right = 0
if root:
cur_st.append(root)
while cur_st:
cur_data = []
while cur_st:
node = cur_st.pop()
if left2right:
if node.right:
next_st.append(node.right)
if node.left:
next_st.append(node.left)
else:
if node.left:
next_st.append(node.left)
if node.right:
next_st.append(node.right)
cur_data.append(node.val)
data.append(cur_data)
left2right ^= 1
cur_st = next_st
next_st = []
return data |
#
# PySNMP MIB module Dell-rldot1q-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/Dell-rldot1q-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 18:43:09 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
Integer, ObjectIdentifier, OctetString = mibBuilder.importSymbols("ASN1", "Integer", "ObjectIdentifier", "OctetString")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsIntersection, ValueSizeConstraint, ConstraintsUnion, ValueRangeConstraint, SingleValueConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsIntersection", "ValueSizeConstraint", "ConstraintsUnion", "ValueRangeConstraint", "SingleValueConstraint")
rlpBridgeMIBObjects, = mibBuilder.importSymbols("Dell-BRIDGEMIBOBJECTS-MIB", "rlpBridgeMIBObjects")
rnd, = mibBuilder.importSymbols("Dell-MIB", "rnd")
ifIndex, = mibBuilder.importSymbols("IF-MIB", "ifIndex")
PortList, dot1qTpFdbEntry, dot1qStaticUnicastEntry = mibBuilder.importSymbols("Q-BRIDGE-MIB", "PortList", "dot1qTpFdbEntry", "dot1qStaticUnicastEntry")
NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance")
Unsigned32, MibScalar, MibTable, MibTableRow, MibTableColumn, Counter32, Counter64, IpAddress, TimeTicks, MibIdentifier, NotificationType, ObjectIdentity, Bits, ModuleIdentity, iso, Integer32, Gauge32 = mibBuilder.importSymbols("SNMPv2-SMI", "Unsigned32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Counter32", "Counter64", "IpAddress", "TimeTicks", "MibIdentifier", "NotificationType", "ObjectIdentity", "Bits", "ModuleIdentity", "iso", "Integer32", "Gauge32")
TextualConvention, TruthValue, RowStatus, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "TruthValue", "RowStatus", "DisplayString")
rlq_bridge_mib = ModuleIdentity((1, 3, 6, 1, 4, 1, 89, 57, 8)).setLabel("rlq-bridge-mib")
rlq_bridge_mib.setRevisions(('2008-11-25 00:00',))
if mibBuilder.loadTexts: rlq_bridge_mib.setLastUpdated('200811250000Z')
if mibBuilder.loadTexts: rlq_bridge_mib.setOrganization('Dell')
rldot1q = MibIdentifier((1, 3, 6, 1, 4, 1, 89, 57, 8))
rldot1qStaticUnicastTable = MibTable((1, 3, 6, 1, 4, 1, 89, 57, 8, 1), )
if mibBuilder.loadTexts: rldot1qStaticUnicastTable.setStatus('current')
rldot1qStaticUnicastEntry = MibTableRow((1, 3, 6, 1, 4, 1, 89, 57, 8, 1, 1), )
dot1qStaticUnicastEntry.registerAugmentions(("Dell-rldot1q-MIB", "rldot1qStaticUnicastEntry"))
rldot1qStaticUnicastEntry.setIndexNames(*dot1qStaticUnicastEntry.getIndexNames())
if mibBuilder.loadTexts: rldot1qStaticUnicastEntry.setStatus('current')
rldot1qStaticUnicastAddressOwner = MibTableColumn((1, 3, 6, 1, 4, 1, 89, 57, 8, 1, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("static", 1), ("learned", 2))).clone('static')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: rldot1qStaticUnicastAddressOwner.setStatus('current')
rldot1qTpFdbTable = MibTable((1, 3, 6, 1, 4, 1, 89, 57, 8, 2), )
if mibBuilder.loadTexts: rldot1qTpFdbTable.setStatus('current')
rldot1qTpFdbEntry = MibTableRow((1, 3, 6, 1, 4, 1, 89, 57, 8, 2, 1), )
dot1qTpFdbEntry.registerAugmentions(("Dell-rldot1q-MIB", "rldot1qTpFdbEntry"))
rldot1qTpFdbEntry.setIndexNames(*dot1qTpFdbEntry.getIndexNames())
if mibBuilder.loadTexts: rldot1qTpFdbEntry.setStatus('current')
rldot1qTpFdbSubStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 89, 57, 8, 2, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("none", 1), ("dynamic-static", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: rldot1qTpFdbSubStatus.setStatus('current')
rldot1qTpFdbCountTable = MibTable((1, 3, 6, 1, 4, 1, 89, 57, 8, 3), )
if mibBuilder.loadTexts: rldot1qTpFdbCountTable.setStatus('current')
rldot1qTpFdbCountEntry = MibTableRow((1, 3, 6, 1, 4, 1, 89, 57, 8, 3, 1), ).setIndexNames((0, "Dell-rldot1q-MIB", "rldot1qTpFdbCountVlanTag"), (0, "Dell-rldot1q-MIB", "rldot1qTpFdbCountPort"), (0, "Dell-rldot1q-MIB", "rldot1qTpFdbCountType"))
if mibBuilder.loadTexts: rldot1qTpFdbCountEntry.setStatus('current')
rldot1qTpFdbCountVlanTag = MibTableColumn((1, 3, 6, 1, 4, 1, 89, 57, 8, 3, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 4094))).setMaxAccess("readonly")
if mibBuilder.loadTexts: rldot1qTpFdbCountVlanTag.setStatus('current')
rldot1qTpFdbCountPort = MibTableColumn((1, 3, 6, 1, 4, 1, 89, 57, 8, 3, 1, 2), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rldot1qTpFdbCountPort.setStatus('current')
rldot1qTpFdbCountType = MibTableColumn((1, 3, 6, 1, 4, 1, 89, 57, 8, 3, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("other", 1), ("invalid", 2), ("learned", 3), ("self", 4), ("mgmt", 5)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: rldot1qTpFdbCountType.setStatus('current')
rldot1qTpFdbCountCount = MibTableColumn((1, 3, 6, 1, 4, 1, 89, 57, 8, 3, 1, 4), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rldot1qTpFdbCountCount.setStatus('current')
mibBuilder.exportSymbols("Dell-rldot1q-MIB", rldot1qTpFdbCountCount=rldot1qTpFdbCountCount, rldot1qTpFdbCountVlanTag=rldot1qTpFdbCountVlanTag, rldot1qStaticUnicastTable=rldot1qStaticUnicastTable, rldot1qStaticUnicastEntry=rldot1qStaticUnicastEntry, rldot1qStaticUnicastAddressOwner=rldot1qStaticUnicastAddressOwner, rldot1qTpFdbSubStatus=rldot1qTpFdbSubStatus, rldot1qTpFdbCountEntry=rldot1qTpFdbCountEntry, rlq_bridge_mib=rlq_bridge_mib, rldot1qTpFdbCountPort=rldot1qTpFdbCountPort, rldot1qTpFdbEntry=rldot1qTpFdbEntry, rldot1qTpFdbCountType=rldot1qTpFdbCountType, rldot1q=rldot1q, rldot1qTpFdbTable=rldot1qTpFdbTable, rldot1qTpFdbCountTable=rldot1qTpFdbCountTable, PYSNMP_MODULE_ID=rlq_bridge_mib)
| (integer, object_identifier, octet_string) = mibBuilder.importSymbols('ASN1', 'Integer', 'ObjectIdentifier', 'OctetString')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(constraints_intersection, value_size_constraint, constraints_union, value_range_constraint, single_value_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ConstraintsIntersection', 'ValueSizeConstraint', 'ConstraintsUnion', 'ValueRangeConstraint', 'SingleValueConstraint')
(rlp_bridge_mib_objects,) = mibBuilder.importSymbols('Dell-BRIDGEMIBOBJECTS-MIB', 'rlpBridgeMIBObjects')
(rnd,) = mibBuilder.importSymbols('Dell-MIB', 'rnd')
(if_index,) = mibBuilder.importSymbols('IF-MIB', 'ifIndex')
(port_list, dot1q_tp_fdb_entry, dot1q_static_unicast_entry) = mibBuilder.importSymbols('Q-BRIDGE-MIB', 'PortList', 'dot1qTpFdbEntry', 'dot1qStaticUnicastEntry')
(notification_group, module_compliance) = mibBuilder.importSymbols('SNMPv2-CONF', 'NotificationGroup', 'ModuleCompliance')
(unsigned32, mib_scalar, mib_table, mib_table_row, mib_table_column, counter32, counter64, ip_address, time_ticks, mib_identifier, notification_type, object_identity, bits, module_identity, iso, integer32, gauge32) = mibBuilder.importSymbols('SNMPv2-SMI', 'Unsigned32', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'Counter32', 'Counter64', 'IpAddress', 'TimeTicks', 'MibIdentifier', 'NotificationType', 'ObjectIdentity', 'Bits', 'ModuleIdentity', 'iso', 'Integer32', 'Gauge32')
(textual_convention, truth_value, row_status, display_string) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'TruthValue', 'RowStatus', 'DisplayString')
rlq_bridge_mib = module_identity((1, 3, 6, 1, 4, 1, 89, 57, 8)).setLabel('rlq-bridge-mib')
rlq_bridge_mib.setRevisions(('2008-11-25 00:00',))
if mibBuilder.loadTexts:
rlq_bridge_mib.setLastUpdated('200811250000Z')
if mibBuilder.loadTexts:
rlq_bridge_mib.setOrganization('Dell')
rldot1q = mib_identifier((1, 3, 6, 1, 4, 1, 89, 57, 8))
rldot1q_static_unicast_table = mib_table((1, 3, 6, 1, 4, 1, 89, 57, 8, 1))
if mibBuilder.loadTexts:
rldot1qStaticUnicastTable.setStatus('current')
rldot1q_static_unicast_entry = mib_table_row((1, 3, 6, 1, 4, 1, 89, 57, 8, 1, 1))
dot1qStaticUnicastEntry.registerAugmentions(('Dell-rldot1q-MIB', 'rldot1qStaticUnicastEntry'))
rldot1qStaticUnicastEntry.setIndexNames(*dot1qStaticUnicastEntry.getIndexNames())
if mibBuilder.loadTexts:
rldot1qStaticUnicastEntry.setStatus('current')
rldot1q_static_unicast_address_owner = mib_table_column((1, 3, 6, 1, 4, 1, 89, 57, 8, 1, 1, 1), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('static', 1), ('learned', 2))).clone('static')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
rldot1qStaticUnicastAddressOwner.setStatus('current')
rldot1q_tp_fdb_table = mib_table((1, 3, 6, 1, 4, 1, 89, 57, 8, 2))
if mibBuilder.loadTexts:
rldot1qTpFdbTable.setStatus('current')
rldot1q_tp_fdb_entry = mib_table_row((1, 3, 6, 1, 4, 1, 89, 57, 8, 2, 1))
dot1qTpFdbEntry.registerAugmentions(('Dell-rldot1q-MIB', 'rldot1qTpFdbEntry'))
rldot1qTpFdbEntry.setIndexNames(*dot1qTpFdbEntry.getIndexNames())
if mibBuilder.loadTexts:
rldot1qTpFdbEntry.setStatus('current')
rldot1q_tp_fdb_sub_status = mib_table_column((1, 3, 6, 1, 4, 1, 89, 57, 8, 2, 1, 1), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('none', 1), ('dynamic-static', 2)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
rldot1qTpFdbSubStatus.setStatus('current')
rldot1q_tp_fdb_count_table = mib_table((1, 3, 6, 1, 4, 1, 89, 57, 8, 3))
if mibBuilder.loadTexts:
rldot1qTpFdbCountTable.setStatus('current')
rldot1q_tp_fdb_count_entry = mib_table_row((1, 3, 6, 1, 4, 1, 89, 57, 8, 3, 1)).setIndexNames((0, 'Dell-rldot1q-MIB', 'rldot1qTpFdbCountVlanTag'), (0, 'Dell-rldot1q-MIB', 'rldot1qTpFdbCountPort'), (0, 'Dell-rldot1q-MIB', 'rldot1qTpFdbCountType'))
if mibBuilder.loadTexts:
rldot1qTpFdbCountEntry.setStatus('current')
rldot1q_tp_fdb_count_vlan_tag = mib_table_column((1, 3, 6, 1, 4, 1, 89, 57, 8, 3, 1, 1), integer32().subtype(subtypeSpec=value_range_constraint(0, 4094))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
rldot1qTpFdbCountVlanTag.setStatus('current')
rldot1q_tp_fdb_count_port = mib_table_column((1, 3, 6, 1, 4, 1, 89, 57, 8, 3, 1, 2), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
rldot1qTpFdbCountPort.setStatus('current')
rldot1q_tp_fdb_count_type = mib_table_column((1, 3, 6, 1, 4, 1, 89, 57, 8, 3, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5))).clone(namedValues=named_values(('other', 1), ('invalid', 2), ('learned', 3), ('self', 4), ('mgmt', 5)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
rldot1qTpFdbCountType.setStatus('current')
rldot1q_tp_fdb_count_count = mib_table_column((1, 3, 6, 1, 4, 1, 89, 57, 8, 3, 1, 4), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
rldot1qTpFdbCountCount.setStatus('current')
mibBuilder.exportSymbols('Dell-rldot1q-MIB', rldot1qTpFdbCountCount=rldot1qTpFdbCountCount, rldot1qTpFdbCountVlanTag=rldot1qTpFdbCountVlanTag, rldot1qStaticUnicastTable=rldot1qStaticUnicastTable, rldot1qStaticUnicastEntry=rldot1qStaticUnicastEntry, rldot1qStaticUnicastAddressOwner=rldot1qStaticUnicastAddressOwner, rldot1qTpFdbSubStatus=rldot1qTpFdbSubStatus, rldot1qTpFdbCountEntry=rldot1qTpFdbCountEntry, rlq_bridge_mib=rlq_bridge_mib, rldot1qTpFdbCountPort=rldot1qTpFdbCountPort, rldot1qTpFdbEntry=rldot1qTpFdbEntry, rldot1qTpFdbCountType=rldot1qTpFdbCountType, rldot1q=rldot1q, rldot1qTpFdbTable=rldot1qTpFdbTable, rldot1qTpFdbCountTable=rldot1qTpFdbCountTable, PYSNMP_MODULE_ID=rlq_bridge_mib) |
CSI = '\x1b['
OSC = '\x1b]'
BEL = '\a'
def sequence(letter, fields=1, default=[]):
def _sequence(*values):
output = list(values)
if fields >= 0 and len(output) > fields:
raise ValueError('Invalid number of fields, got %d expected %d' %
(len(output), fields))
while len(output) < fields and len(default) > len(output):
output.append(fields[len(default) - 1])
return ''.join([
CSI,
';'.join(map(str, output)),
letter,
])
return _sequence
def osc(number):
def _osc(*args, **kwargs):
kwargs = ["%s=%s" % (k,v) for (k,v) in kwargs.items()]
return ''.join([
OSC,
str(number),
';',
';'.join(list(args)+kwargs),
BEL,
])
return _osc
| csi = '\x1b['
osc = '\x1b]'
bel = '\x07'
def sequence(letter, fields=1, default=[]):
def _sequence(*values):
output = list(values)
if fields >= 0 and len(output) > fields:
raise value_error('Invalid number of fields, got %d expected %d' % (len(output), fields))
while len(output) < fields and len(default) > len(output):
output.append(fields[len(default) - 1])
return ''.join([CSI, ';'.join(map(str, output)), letter])
return _sequence
def osc(number):
def _osc(*args, **kwargs):
kwargs = ['%s=%s' % (k, v) for (k, v) in kwargs.items()]
return ''.join([OSC, str(number), ';', ';'.join(list(args) + kwargs), BEL])
return _osc |
n = int(input())
c = 0
for i in range (1, n):
temp = input().split()
temp[0] = int(temp[0])
temp[1] = int(temp[1])
if temp[0] == temp[1] - 1:
c += 1
print (c) | n = int(input())
c = 0
for i in range(1, n):
temp = input().split()
temp[0] = int(temp[0])
temp[1] = int(temp[1])
if temp[0] == temp[1] - 1:
c += 1
print(c) |
def getPaginatedParamValues(request):
pagesizemax = 500
offset = request.args.get('offset')
if offset is None:
offset = 0
else:
offset = int(offset)
pagesize = request.args.get('pagesize')
if pagesize is None:
pagesize = 100
else:
pagesize = int(pagesize)
if pagesize > pagesizemax:
pagesize = pagesizemax
sort = request.args.get('sort')
query = request.args.get('query')
return {
'offset': offset,
'pagesize': pagesize,
'query': query,
'sort': sort,
}
| def get_paginated_param_values(request):
pagesizemax = 500
offset = request.args.get('offset')
if offset is None:
offset = 0
else:
offset = int(offset)
pagesize = request.args.get('pagesize')
if pagesize is None:
pagesize = 100
else:
pagesize = int(pagesize)
if pagesize > pagesizemax:
pagesize = pagesizemax
sort = request.args.get('sort')
query = request.args.get('query')
return {'offset': offset, 'pagesize': pagesize, 'query': query, 'sort': sort} |
class Solution:
def isIsomorphic(self, s, t):
if len(s) != len(t): # isomorphic strings must be same length
return False
d = {}
h = {}
for i in range(0, len(s)):
x = s[i]
y = t[i]
if x not in d and y not in h: # Both chars have NOT been seen before (NOT in hash table)
d[x] = [i] # store index as a single element list since
h[y] = [i] # repeat character indices must be appended
elif x in d and y in h: # both chars seen before (EXIST in hash table)
d[x].append(i) # append new index to list
h[y].append(i)
if d[x] != h[y]: # ensure chars have been seen at the same indices
return False # if indices do NOT match up strings are not isomorphic
# One char has been seen before but NOT the other
# if (x not in d and y in h) or (x in d and y not in h):
else: # only four possible outcomes thus else is sufficient
return False
return True # strings are isomorphic return true
obj = Solution()
s1 = "paper"
s2 = "title"
print("Are '{}' and '{}' isomorphic?" .format(s1,s2))
print("Answer: {}" .format(obj.isIsomorphic(s1,s2))) | class Solution:
def is_isomorphic(self, s, t):
if len(s) != len(t):
return False
d = {}
h = {}
for i in range(0, len(s)):
x = s[i]
y = t[i]
if x not in d and y not in h:
d[x] = [i]
h[y] = [i]
elif x in d and y in h:
d[x].append(i)
h[y].append(i)
if d[x] != h[y]:
return False
else:
return False
return True
obj = solution()
s1 = 'paper'
s2 = 'title'
print("Are '{}' and '{}' isomorphic?".format(s1, s2))
print('Answer: {}'.format(obj.isIsomorphic(s1, s2))) |
x=int(input("enter the starting of range"))
y=int(input("enter the end of range"))
for num in range(x,y):
if num>=0:
print(num, end=" ")
| x = int(input('enter the starting of range'))
y = int(input('enter the end of range'))
for num in range(x, y):
if num >= 0:
print(num, end=' ') |
class PointVariables:
def __init__(self):
self.LE = "9999999.0"
self.CE = "9999999.0"
self.HAE = "9999999.0"
self.LON = "0"
self.LAT = "0" | class Pointvariables:
def __init__(self):
self.LE = '9999999.0'
self.CE = '9999999.0'
self.HAE = '9999999.0'
self.LON = '0'
self.LAT = '0' |
class MyDecorator:
def __init__(self, function):
self.function = function
def __call__(self):
print("before the function is called.")
self.function()
print("after the function is called.")
@MyDecorator
def function():
print("Howtoautomate.in.th")
if __name__ == '__main__':
function()
| class Mydecorator:
def __init__(self, function):
self.function = function
def __call__(self):
print('before the function is called.')
self.function()
print('after the function is called.')
@MyDecorator
def function():
print('Howtoautomate.in.th')
if __name__ == '__main__':
function() |
def binSearch( arr, left, right, x):
if right >= left:
mid = left + ( right-left ) / 2
# If the element is present at the middle itself
if arr[mid] == x:
return mid
# If the element is smaller than mid,then it can only be present in the left subarray
if arr[mid] > x:
return binSearch(arr, left, mid - 1, x)
# Else he element can only be present in the right
return binSearch(arr, mid + 1, right, x)
return -1
def exponentialSearch(arr, n, x):
# IF x is present at first location itself
if arr[0] == x:
return 0
# Find range for binary search j by repeated doubling
i = 1
while i < n and arr[i] <= x:
i = i * 2
# Call binary search for the found range
return binSearch( arr, i / 2,
min(i, n), x)
# Driver Code
n = int(input())
arr = []
for i in range(n):
x = int(input())
arr.append(x)
x = int(input())
final = exponentialSearch(arr, n, x)
if final == -1:
print ("Element not found in thye array")
else:
print ("index %d" %(final))
'''
INPUT:
n = 5
arr[] = {2, 3, 14, 20, 40}
x = 20
OUPUT:
index 3
'''
| def bin_search(arr, left, right, x):
if right >= left:
mid = left + (right - left) / 2
if arr[mid] == x:
return mid
if arr[mid] > x:
return bin_search(arr, left, mid - 1, x)
return bin_search(arr, mid + 1, right, x)
return -1
def exponential_search(arr, n, x):
if arr[0] == x:
return 0
i = 1
while i < n and arr[i] <= x:
i = i * 2
return bin_search(arr, i / 2, min(i, n), x)
n = int(input())
arr = []
for i in range(n):
x = int(input())
arr.append(x)
x = int(input())
final = exponential_search(arr, n, x)
if final == -1:
print('Element not found in thye array')
else:
print('index %d' % final)
'\nINPUT:\nn = 5\narr[] = {2, 3, 14, 20, 40}\nx = 20\nOUPUT:\nindex 3\n' |
n,k=[int(x) for x in input().split(" ")]
arr=list(map(int,input().rstrip().split()))
z=[]
arr=sorted(arr)
arr=arr[::-1]
for i in range(len(arr)//k+1):
if len(arr)>=k:
z.append(arr[0:k])
a=arr[0:k]
for j in a:
arr.remove(j)
else:
z.append(arr)
if len(z[-1])==0:
z.remove(z[-1])
sum1=0
for i in range(len(z)):
for j in range(len(z[i])):
c=(i+1)*z[i][j]
sum1=sum1+c
print(sum1)
| (n, k) = [int(x) for x in input().split(' ')]
arr = list(map(int, input().rstrip().split()))
z = []
arr = sorted(arr)
arr = arr[::-1]
for i in range(len(arr) // k + 1):
if len(arr) >= k:
z.append(arr[0:k])
a = arr[0:k]
for j in a:
arr.remove(j)
else:
z.append(arr)
if len(z[-1]) == 0:
z.remove(z[-1])
sum1 = 0
for i in range(len(z)):
for j in range(len(z[i])):
c = (i + 1) * z[i][j]
sum1 = sum1 + c
print(sum1) |
def solution(A, B):
answer = 0
A.sort()
B.sort(reverse=True)
for i, j in zip(A, B):
answer += i*j
return answer
| def solution(A, B):
answer = 0
A.sort()
B.sort(reverse=True)
for (i, j) in zip(A, B):
answer += i * j
return answer |
# In python numbers (int, float) are the same
print(5)
print(6.58)
# Calculation is the same how other languages
print(5.8 + 6)
print((8 + 1) * 10)
| print(5)
print(6.58)
print(5.8 + 6)
print((8 + 1) * 10) |
class LCCS:
def __init__(self, Ls=[8, 16, 32, 64, 128, 256, 512], step=1):
self.Ls = Ls
self.step = step
self.name = 'lccs'
def for_param(self, distance):
for l in self.Ls:
yield '-L %d --step 1'%l
class LCCS_MP:
def __init__(self, Ls=[8, 16, 32, 64, 128, 256, 512], ps=[0, 0.5, 1, 2, 4, 8]):
self.Ls = Ls
self.ps = ps
self.name = 'lccs_mp'
def for_param(self, distance):
for l in self.Ls:
for p in self.ps:
yield '-L %d -p %f'%(l, p)
class C2LSH:
def __init__(self, Ls=[8, 16, 32, 64, 128, 256, 512], threshold_ratios=[0.05, 0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4, 0.45, 0.5]):
self.Ls = Ls
self.threshold_ratios = threshold_ratios
self.name = 'c2lsh'
def for_param(self, distance):
for l in self.Ls:
last_threshold = -1
for threshold_ratio in self.threshold_ratios:
threshold = int(threshold_ratio*l+0.5)
if threshold == last_threshold:
continue
else:
last_threshold = threshold
if threshold > l:
continue
yield '-L %d --cnt_threshold %d'%(l, threshold)
class E2LSH:
def __init__(self, Ks=[3, 4, 5, 6, 7, 8, 9, 10], Ls=[8, 16, 32, 64, 128, 256, 512], maxHasher=512):
self.Ks = Ks
self.Ls = Ls
self.name = 'e2lsh'
self.maxHasher = maxHasher
def for_param(self, distance):
for l in self.Ls:
for k in self.Ks:
if k*l <=self.maxHasher:
yield '-L %d -K %d'%(l, k)
class MPLSH:
def __init__(self, Ks=[3, 4, 5, 6, 7, 8, 9, 10], Ls=[8, 16, 32, 64, 128, 256, 512], maxHasher=512, Ks_angle=[2, 3, 4, 5, 6, 7, 8, 9, 10]):
self.Ks = Ks
self.Ls = Ls
self.name = 'mplsh'
self.maxHasher = maxHasher
self.Ks_angle = Ks_angle
def for_param(self, distance):
if distance=='angle':
for r in self.for_param_angle(distance):
yield r
else:
for r in self.for_param_l2(distance):
yield r
def for_param_l2(self, distance):
for l in self.Ls:
for k in self.Ks:
if k*l <=self.maxHasher:
yield '-L %d -K %d'%(l, k)
# def for_param_angle(self, distance):
# #bit-packed version
# Ks = self.Ks if self.Ks_angle is None else self.Ks_angle
# for l in self.Ls:
# for k in Ks:
# yield '-L %d -K %d --bit_packed'%(l, k)
def for_param_angle(self, distance):
#linear-probing version
Ks = self.Ks if self.Ks_angle is None else self.Ks_angle
for l in self.Ls:
for k in Ks:
if k*l <=self.maxHasher:
yield '-L %d -K %d'%(l, k)
class SRS:
def __init__(self, targeted_ds=[4, 5, 6, 7, 8, 9, 10], maxHasher=512):
self.targeted_ds = targeted_ds
self.name = 'srs'
self.maxHasher = maxHasher
def for_param(self, distance):
for m in self.targeted_ds:
yield ' -L %d'%( m)
class QALSH:
def __init__(self, maxHasher=512, Ls = [10, 20, 30, 40], LMs = [100, 240, 400], cs = [2., 3., 4.]):
self.name = 'qalsh'
self.maxHasher = maxHasher
self.Ls = Ls
self.LMs = LMs
self.cs = cs
def for_param(self, distance):
for L in self.Ls:
for LM in self.LMs:
for c in self.cs:
M = int(LM/L)
yield '-L %d -M %d -c %f'%(L, M, c)
| class Lccs:
def __init__(self, Ls=[8, 16, 32, 64, 128, 256, 512], step=1):
self.Ls = Ls
self.step = step
self.name = 'lccs'
def for_param(self, distance):
for l in self.Ls:
yield ('-L %d --step 1' % l)
class Lccs_Mp:
def __init__(self, Ls=[8, 16, 32, 64, 128, 256, 512], ps=[0, 0.5, 1, 2, 4, 8]):
self.Ls = Ls
self.ps = ps
self.name = 'lccs_mp'
def for_param(self, distance):
for l in self.Ls:
for p in self.ps:
yield ('-L %d -p %f' % (l, p))
class C2Lsh:
def __init__(self, Ls=[8, 16, 32, 64, 128, 256, 512], threshold_ratios=[0.05, 0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4, 0.45, 0.5]):
self.Ls = Ls
self.threshold_ratios = threshold_ratios
self.name = 'c2lsh'
def for_param(self, distance):
for l in self.Ls:
last_threshold = -1
for threshold_ratio in self.threshold_ratios:
threshold = int(threshold_ratio * l + 0.5)
if threshold == last_threshold:
continue
else:
last_threshold = threshold
if threshold > l:
continue
yield ('-L %d --cnt_threshold %d' % (l, threshold))
class E2Lsh:
def __init__(self, Ks=[3, 4, 5, 6, 7, 8, 9, 10], Ls=[8, 16, 32, 64, 128, 256, 512], maxHasher=512):
self.Ks = Ks
self.Ls = Ls
self.name = 'e2lsh'
self.maxHasher = maxHasher
def for_param(self, distance):
for l in self.Ls:
for k in self.Ks:
if k * l <= self.maxHasher:
yield ('-L %d -K %d' % (l, k))
class Mplsh:
def __init__(self, Ks=[3, 4, 5, 6, 7, 8, 9, 10], Ls=[8, 16, 32, 64, 128, 256, 512], maxHasher=512, Ks_angle=[2, 3, 4, 5, 6, 7, 8, 9, 10]):
self.Ks = Ks
self.Ls = Ls
self.name = 'mplsh'
self.maxHasher = maxHasher
self.Ks_angle = Ks_angle
def for_param(self, distance):
if distance == 'angle':
for r in self.for_param_angle(distance):
yield r
else:
for r in self.for_param_l2(distance):
yield r
def for_param_l2(self, distance):
for l in self.Ls:
for k in self.Ks:
if k * l <= self.maxHasher:
yield ('-L %d -K %d' % (l, k))
def for_param_angle(self, distance):
ks = self.Ks if self.Ks_angle is None else self.Ks_angle
for l in self.Ls:
for k in Ks:
if k * l <= self.maxHasher:
yield ('-L %d -K %d' % (l, k))
class Srs:
def __init__(self, targeted_ds=[4, 5, 6, 7, 8, 9, 10], maxHasher=512):
self.targeted_ds = targeted_ds
self.name = 'srs'
self.maxHasher = maxHasher
def for_param(self, distance):
for m in self.targeted_ds:
yield (' -L %d' % m)
class Qalsh:
def __init__(self, maxHasher=512, Ls=[10, 20, 30, 40], LMs=[100, 240, 400], cs=[2.0, 3.0, 4.0]):
self.name = 'qalsh'
self.maxHasher = maxHasher
self.Ls = Ls
self.LMs = LMs
self.cs = cs
def for_param(self, distance):
for l in self.Ls:
for lm in self.LMs:
for c in self.cs:
m = int(LM / L)
yield ('-L %d -M %d -c %f' % (L, M, c)) |
a,b,c,d,e=map(int,input().split(" "))
bl=False
x=a
while(a>0):
# print(b,d)
# print(bl)
if(b==d):
bl=True
break
b+=1
d-=1
if(b==d):
bl=True
break
if(b>x):
b=1
if(d<1):
d=x
if(b==d):
bl=True
break
a-=1
if(bl==False):
print("NO")
else:
print("YES") | (a, b, c, d, e) = map(int, input().split(' '))
bl = False
x = a
while a > 0:
if b == d:
bl = True
break
b += 1
d -= 1
if b == d:
bl = True
break
if b > x:
b = 1
if d < 1:
d = x
if b == d:
bl = True
break
a -= 1
if bl == False:
print('NO')
else:
print('YES') |
#!/usr/bin/env python3
# -*- coding:utf-8 -*-
# @Script: solution.py
# @Author: Pradip Patil
# @Contact: @pradip__patil
# @Created: 2018-02-10 20:47:08
# @Last Modified By: Pradip Patil
# @Last Modified: 2018-02-10 20:48:49
# @Description: https://www.hackerrank.com/challenges/py-hello-world/problem
if __name__ == '__main__':
print("Hello, World!")
| if __name__ == '__main__':
print('Hello, World!') |
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Blazars at low frequencies"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* The bulk velocity is $ v $.\n",
"* The bulk Lorentz factor is $$ \\gamma = \\frac{1}{\\sqrt{1 - \\beta^{2}}} $$ where $ \\beta = \\frac{v}{c} $.\n",
"* The angle of the jet to our line of sight is $ \\theta $.\n",
"* The specific intensity the $ e^{-} $ emit at is $ I_{\\nu} \\propto \\nu^{\\alpha} $ (a power law) between $ \\nu_{1} $ and $ \\nu_{2} $, and $ \\frac{I_{\\nu}}{\\nu^{3}} $ is Lorentz invariant.\n",
"\n",
"* The $ \\nu $ of jet pointing at us is Doppler shifted (in frequency) by $ D_{+} = \\gamma (1 + \\beta \\cos \\theta) $. (The $ 1 + \\beta \\cos \\theta $ is the non-relativistic Doppler shifting and the $ \\gamma $ comes from time dilation.)\n",
"* The amplitude of the spectrum is boosted by $ D_{+}^{3} $, from the Lorentz invariant quantity above. The slope, $ \\alpha $, does not change.\n",
"* The counterjet is deboosted by $ D_{-} = \\gamma (1 - \\beta \\cos \\theta) $.\n",
"* See this [Berkley tutorial](http://w.astro.berkeley.edu/~echiang/rad/ps8aans.pdf).\n",
"* A common way of finding the Doppler factor is using the equipartition of energy argument, the X-ray flux density, or (in [this](https://iopscience.iop.org/article/10.1086/307587) case), total flux density variation monitoring data at 22 GHz and 37 GHz.\n",
"* An important application of precise Doppler factors is calculating the Lorentz factors and viewing angles of AGN relativistic outflows."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import scipy.constants as sc\n",
"import matplotlib.pyplot as plt\n",
"import math\n",
"from IPython.display import Image\n",
"\n",
"import warnings\n",
"warnings.simplefilter(action='ignore', category=FutureWarning)\n",
"\n",
"from matplotlib import pylab\n",
"pylab.rcParams['figure.figsize'] = (12, 8)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"def beta(v):\n",
" ''' velocity '''\n",
" return v / sc.c\n",
"\n",
"\n",
"def gamma(v):\n",
" ''' lorentz factor '''\n",
" return 1 / np.sqrt(1 - beta(v) ** 2)\n",
"\n",
"\n",
"def doppler(v, theta, jet='forward'):\n",
" ''' doppler factor '''\n",
" if jet == 'forward':\n",
" return gamma(v) * (1 + beta(v) * np.cos(math.radians(theta)))\n",
" elif jet == 'away':\n",
" return gamma(v) * (1 - beta(v) * np.cos(math.radians(theta)))\n",
" \n",
" \n",
"def alpha(v, s, verbose=False):\n",
" ''' spectral index '''\n",
" a = np.log(s[0] / s[1]) / np.log(v[0] / v[1])\n",
" if verbose:\n",
" print('alpha =', np.round(a, 3))\n",
" return a\n",
" \n",
"\n",
"def scale_flux(old_v, new_v, old_s, alpha):\n",
" ''' scale the flux density using the spectral index relation '''\n",
" return old_s * (new_v / old_v) ** alpha\n",
"\n",
" \n",
"def make_plot(x, y, x2='', y2='', x3='', y3='', xlabel='', ylabel='', Log=' '):\n",
" ''' plot the data '''\n",
" plt.xlabel(xlabel)\n",
" plt.ylabel(ylabel)\n",
" plt.plot(x, y, color='w')\n",
" if y2 != '':\n",
" if x2 == '':\n",
" x2 = x\n",
" plt.plot(x2, y2, color='r')\n",
" if y3 != '':\n",
" if x3 == '':\n",
" x3 = x\n",
" plt.plot(x3, y3, color='b')\n",
" if 'x' in Log:\n",
" plt.xscale('log')\n",
" if 'y' in Log:\n",
" plt.yscale('log') \n",
" plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "dark"
},
"output_type": "display_data"
}
],
"source": [
"fraction_of_c, lorentz_factors = [], []\n",
"\n",
"for i in np.linspace(0, 1, 1000):\n",
" if i != 1: # prevents inf\n",
" fraction_of_c.append(i)\n",
" lorentz_factors.append(gamma(v=i * sc.c))\n",
"\n",
"make_plot(x=fraction_of_c, y=lorentz_factors, xlabel='Fraction of $c$',\n",
" ylabel='Lorentz factor')"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "dark"
},
"output_type": "display_data"
}
],
"source": [
"angle, doppler_forward, doppler_away = [], [], []\n",
"\n",
"for i in np.linspace(0, 90, 1000):\n",
" angle.append(i)\n",
" doppler_forward.append(doppler(0.99 * sc.c, theta=i, jet='forward'))\n",
" doppler_away.append(doppler(0.99 * sc.c, theta=i, jet='away'))\n",
"\n",
"make_plot(x=angle, y=doppler_forward, y2=doppler_away, xlabel='Angle (degree)',\n",
" ylabel='Doppler factor')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We have know the intrinsic values of $ I_{\\nu} $ from a source at 10 MHz and 100 MHz from both jet lobes.\n",
"\n",
"* $ I_{10+} = 10 $ Jy.\n",
"* $ I_{100+} = 5 $ Jy.\n",
"\n",
"We will shift it for $ v = 0.95 c $ and $ \\theta = 10 $ degrees."
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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cu/F45ufnL3OYwEr3fuqLOXr4uhw+dDCHrzvQ//Po9Xn5K16e6UMHc+i6Azl4YH+SZG5uPqfPPpXTZ57KqdNPZfb02cyeGf7zqcyeeSpnn3pGqMMOOXbT8VEPAfakycnJdZ/f9D7gSdLU1ZNJ/pd2p/vFJP95kv8myQ8n+RftTvfTSX6uqasTW3nvJHc3dXVnu9O9I8sD/JYkS8temrqab3e63xoc31SAP/bow5k7f36LwwPW8tgjEzl20/E89sjD6fUWVn3Nvn1TOXL4UI4enc6R6cM5euTC18tuuD63vubmHD1yOIeuO5gkmZuby8yp00uz6otfi7PrM6dO58TMqZw+fVaowwa1Wpc+V4Gtm9q3L82tb1v7+c2+YbvTPZYLs99vSPLH6Qf4Z5N8b5J/nuSL6d8UZ9Oaunp8jaf2Jzm34ti5JNds9jN6vZ6/cGAH9XoLa55jL7zwQh5/spvHn+yu+x779k3lyPThfqQfPZyj04dz9Mh0jh6dzmte/aocPXI4R44czuFD1yVJ5ubnc+rU6ZycGSx5mTmVmZnZnBha9iLUYbn1zlVg6y7178ymArzd6f7b9JeHPJL++u+/09TVw0MvmWl3uvck+d82N8wNOZfk6hXHrkny9A58FjBi58/P5YknT+SJJ9f/n2lTU1M5Mn2oH+dLs+n97+tX35Ijg2MXh/qFSD85c6q/Rv3k7FLAnz5zNgsLwgSA7bfZGfBOkjubuvrDdV7zexm6MHIbPZj+xZlJknanO5nkeJJv7MBnAbvE3NxcnuyezJPdk+u+brVQP3LkcK4/Mp2/9BdftbQkZvrwhVCfnT2dEyeHLiY9NQj0k4OLSk+eEuoAbNpmL8L8LzfwmhNJtrr+ez33JznS7nTfm/4Fnx9K8miSr+/AZwF7zGZD/cj04Vy/uE59sATmL33/zYMZ9emLQn1pbfrMbE7MnLpoCczs6TNCHYAkGwjwdqe7kGSthSzzSU4m+a0k/3VTV7PbOLZlmrp6tt3pvjP9fcD/5yR/kuQ927HnOMCizYT69OHrhmbUL8ysv/r7Xzl4fCHU5+fnc2r2TD/MB8tdTgwvgRkEvFAH2Ps2MgP+4+s810pyKMkH0w/jn9yOQSVJU1f3JblvxbGvpH/hJ8BIzc3NpXtiJt0TM+u+7kKo9yN9cdnLkemhUJ8+nOnpQ0kuhPrMKstdZk7N5sTgz9nZM5kX6gC70kbuhPmlS72m3el+JckfbcuIAPaQjYb65ORkpg8fyvVHF3d+mV4K9b94y/GlXWAOHTqYiYmJi0N9ZvmNjhYvMhXqAONnS/uAr+JlSc5u03sBXHHm5+dz4uRMTpzcWKgv7fhydHopzr//Vcdz/dD2jIuhPnv67NCa9MVlLxdm1oU6QFmXFeDtTveWJP8y/T2/79qWEQGwps2F+nUXbc945Mjh3PKq40vHFkN9YWHhwoz64o4vi8teZi58f+rUaaEOcJkudwb8VJIHkvzyRpaqAFBGP9RP5cTJU+u+bnJiItOD7Rn769MvLIG55eZXLNuecTHUZ0+fGbor6amhGx1dWAIj1AHWtpFdUA41dXV6teeauuqmfxfMDf8MAONjfmFhU6G+GOf9ZS/95S6veuXL85a/8vqlXV+GQ31xK8aTq+z4cnJmNqdmT2d+fr7QbwswHjYyA/577U73M0nuberqzHovbHe61yf5++nvhlJvw/gAGAPLQv2hb635usmJiRxesT3j4t1Ih0P98KGDmZyczMLCQk4P1qgPz6Av3/lFqAN7y0YC/K1J/lmS77Q73d9P8uUk/yH9/b8nkhxN8toktyf5gfS3DnzrTgwWgPE2v7CwNLu9nsVQX37Do3603/zKl+UtR16/tPRlZaifHOyj3l+fvnxmfeaUUAfG30a2IXw6yQfane5Hk/xskp9K0iSZHLxkLkk7yZeS/GxTV4/t0FgB2COGQ/0b3/zTNV83OTGRQ4f6+6gvC/Xpw3nl8ZvyV974l5eWviwL9VPDy14urFdfWrcu1IER2vBFmE1dPZHknyb5p+1OdyLJkSQLTV2tfyk+AGzR/MJCZk71Z7vXC/WJiYkcPnTdRTu+XH9kOsdfsRjqhzN9+FAmJ/vzR0t3Jl227EWoAztvS7ugNHW1kOTENo8FALZkYVmor/26xVBf2vFlEOtHpw/n+Mtvyptu/cu5/ujFoT6zbFvGCzPri3cmnTl1OnNzc4V+W2C3264b8QDA2BsO9YcuEeqHrjt4YceXo4eXbnj0ipfduBTqhw8fytQg1Be3Z1x5N9JlWzYKdSACHAAu0r8x0emcmj2dh9Z53VKoL1v20p9Zf/nLvi9vvPV1/aUv08tDfWaVdenDF5fOnJrN+fNCHfYqAQ4AW7Qs1B/+9pqvm5iYyHXXHcj1S9syTq8I9df2LyYdCvXTZ87270o6M7vizqQXlsAIddidLvdW9H8hyRuSfLepq69sz5AAYG9ZWFjI7OyZzM6eSTYQ6keXtmW8sATmZTe9NG+89bU5Mt0P94tC/dTsmktghDqMl8udAf/V9LcgfHW7051K8p8OdksBADZpONS/+a1H1nxdq9W6sPRl6c6k/dn1m258SW5t6v7j6UOZmur/U3/6zNnBnUn7a9H/8N9/I9/99noLbICdclkB3tTVDy5+3+50fyTJF9ud7n/S1NWjlzswAGB1vV4vs6fPZPb0xkN9cVvGxT9baZUbMLDMZa8Bb3e6Vyc5luTp9O+S+X8lecXlvi8AcHnWCvVWayI3vOzm0Q0MrnCXuwZ8NkkvyRNJHht8fX4bxgUAAHvS5c6A39DU1bltGQkAAFwBNhTg7U73/iQPJPnjJA80dfWnSSK+AQBgczY6Az6b5G8m+cdJeu1O93T6QT4c5d/ZmSECAMDeMbGRFzV19RNNXd2Y5HuS/FiSu5M8l+SOJL+W5NF2p/vYTg0SAAD2ik2tAW/q6kSS3xx8JVl2M57Xb+/QAABg77nsbQibuno8yRcHXwAAwDo2tAQFAADYHgIcAAAKEuAAAFCQAAcAgIIEOAAAFCTAAQCgIAEOAAAFCXAAAChIgAMAQEECHAAAChLgAABQkAAHAICCBDgAABQkwAEAoCABDgAABQlwAAAoSIADAEBBAhwAAAoS4AAAUJAABwCAggQ4AAAUJMABAKAgAQ4AAAUJcAAAKEiAAwBAQQIcAAAKEuAAAFCQAAcAgIIEOAAAFCTAAQCgIAEOAAAFCXAAAChIgAMAQEECHAAAChLgAABQkAAHAICCBDgAABQkwAEAoKCpUQ/gcrU73X1JPpXkWJJ2U1f/aMRDAgCANe2FGfB3J/laU1e3Jdnf7nTfOOoBAQDAWvZCgL8pyf2D7383yVtHOBYAAFjXXgjwg0meGnz/TJJrRzgWAABY114I8KdyIbqvTXJ2hGMBAIB17YUAfyDJDw6+/6EkfzS6oQAAwPrGcheUdqf77iQfGFxYuXjsTUnuTXJzkq8muaOpq28m+VyST7Y73T9I8u+buvp3l3r/VquVVmsv/LcHjJfF88r5BePNuQo7q9Vqrfv8WAV4u9NtJXlfknvSn9lePH5Vki8kuTPJZ5N8OMnnk7yuqasXkvzkZj7n2I3HMz8/v13DBlY4dtPxUQ8B2ADnKuyMycnJdZ8fqwBP8tEkb0nysSS3Dx1/e5KzTV19Mknane5dST7Y7nRf09TV1zb7IY89+nDmzp/fjvECQ1qtiRy76Xgee+Th9HoLox4OsAbnKuysqX370tz6trWfLziWjbi7qas7253uHVke4LckeXDxQVNX8+1O91uD45sO8F6v5y8c2EG93oJzDHYB5yrsjF6vt+7zY7X4q6mrx9d4an+ScyuOnUtyzc6OCAAAttdYBfg6ziW5esWxa5I8PYKxAADAlu2WAH8w/d1PkiTtTncyyfEk3xjZiAAAYAvGbQ34Wu5PcqTd6b43yaeTfCjJo0m+PtJRAQDAJu2KGfCmrp5N8s4k708yk+QdSd7T1NX6K9wBAGDMjOUMeFNX9yW5b8WxryR5wyjGAwAA22VXzIADAMBeIcABAKAgAQ4AAAUJcAAAKEiAAwBAQQIcAAAKEuAAAFCQAAcAgIIEOAAAFCTAAQCgIAEOAAAFCXAAAChIgAMAQEECHAAAChLgAABQkAAHAICCBDgAABQkwAEAoCABDgAABQlwAAAoSIADAEBBAhwAAAoS4AAAUJAABwCAggQ4AAAUJMABAKAgAQ4AAAUJcAAAKEiAAwBAQQIcAAAKEuAAAFCQAAcAgIIEOAAAFCTAAQCgIAEOAAAFCXAAAChIgAMAQEECHAAAChLgAABQkAAHAICCBDgAABQkwAEAoCABDgAABQlwAAAoSIADAEBBAhwAAAoS4AAAUJAABwCAggQ4AAAUJMABAKAgAQ4AAAUJcAAAKEiAAwBAQQIcAAAKEuAAAFCQAAcAgIIEOAAAFCTAAQCgIAEOAAAFCXAAAChIgAMAQEECHAAACtpTAd7udO9ud7o/NupxAADAWqZGPYDt0O50p5J8Ismbk/zOiIcDAABr2hMBnmRfko8neWjUAwEAgPXsugBvd7o/k+Rnhg79v01d/ZMkv93udN86omEBAMCG7LoAb+rqV5L8yqjHAQAAW7GnLsIEAIBxNxYz4O1O991JPtDU1W1Dx96U5N4kNyf5apI7mrr65nZ8XqvVSqvlvz1guy2eV84vGG/OVdhZrVZr3edHGuDtTreV5H1J7knywNDxq5J8IcmdST6b5MNJPp/kdeu9X1NXP7+Rzz124/HMz89vbdDAJR276fiohwBsgHMVdsbk5OS6z496BvyjSd6S5GNJbh86/vYkZ5u6+mSStDvdu5J8sN3pvqapq69d7oc+9ujDmTt//nLfBlih1ZrIsZuO57FHHk6vtzDq4QBrcK7Czpraty/NrW9b+/mCY1nN3U1d3dnudO/I8gC/JcmDiw+auppvd7rfGhy/7ADv9Xr+woEd1OstOMdgF3Cuws7o9XrrPj/SxV9NXT2+xlP7k5xbcexckmt2dkQAALCzxvXqi3NJrl5x7JokT49gLAAAsG3GNcAfTH/3kyRJu9OdTHI8yTdGNiIAANgGo14Dvpb7kxxpd7rvTfLpJB9K8miSr490VAAAcJnGcga8qatnk7wzyfuTzCR5R5L3NHW1/op2AAAYc2MxA97U1X1J7ltx7CtJ3jCK8QAAwE4ZyxlwAADYqwQ4AAAUJMABAKAgAQ4AAAUJcAAAKEiAAwBAQQIcAAAKEuAAAFCQAAcAgIIEOAAAFCTAAQCgIAEOAAAFCXAAAChIgAMAQEECHAAAChLgAABQkAAHAICCBDgAABQkwAEAoCABDgAABQnwAnpTV6c38aL0Rj0QAABGbmrUA7gS9F7yw+kd/v5k/oXk/DPJ+afTmnt66fucfzqtoe+z8EJaox40AAA7QoAX0Pqz30rr8d9P9l2b3r5rk6Wv/eld/T39P/ddm0y+qP8Di6E+93Ra54dD/ZnBY6EOALBbCfACWgvnk+dnk+dn1w3m3sS+pTjvDUV69l2b3tXVhePDoT73zIoZ9MXHQh0AYBwJ8DGy9VDvR3qm9q8e6gvnV5lBXxHqc88k888LdQCAHSbAd6GthfpipC8ufVkr1FfOoA89Hsy2C3UAgK0T4HvY5kN9sBZ9aniNenUh4Cdf3P+B9UJ9buhiUqEOAHARAc4mQ32wJn1q5cWk1dDFpGuF+jNLy12WrVEX6gDAFUSAs2H9UD+dPH96Y6E+tdrFpEeHlr5cHOpL69TnVtn1RagDAHuAAGfbbSrUp/ZffDHpmqE+t8q69FUuLp1/TqgDAGNLgDMyrYXzyQunkxc2E+r7h5a+bDXUFy8mFeoAQHkCnLG3+VDfv8oNjwahPrU/mbqq/wOrhvrKfdWFOgCwvQQ4e8aGQ701tXzXl5Vr1KcWd4MZDvULQT6804tQBwA2S4BzxWn15rYY6kNr1K86sn6or9jpRagDAIsEOKxhc6G+f5VZ9UuE+tzFe6kvX6P+rFAHgD1IgMNl6of6mf5XsmY0rxvqL56+cJHp1NX9H1iYG0T6xXupC3UA2L0EOBRy2aE+tT+9a6eH7li6GOrzS7u8rFzushTqc08nc0IdAMaBAIcxc1mhvrhd47UvXSPUV9zLqhEaAAAIBklEQVTwaDjUF58T6gCwowQ47FIbD/XJ5Tu9TA1dTLpaqPfmL74z6UU7wDyTzJ0T6gCwBQIc9rhWb34ToT6I86nlNz3aaKi35p7JU/uuzcKBFy7s+iLUAWAZAQ4kWQz1s/2vbCDUp6696O6kvf0vyVMvns7Cja+6xIz6YL360Np1oQ7AlUKAA5uyXqi3WhM59rKb891vP5SFtJbWpC8P9f3pXXvD0K4v1/R/eCnUV1xMOrdi1xehDsAuJ8CBHdHqzSfnz/a/cokZ9amVu74sXkx6w9C69eFQP7f8JkdzK3Z9EeoAjDEBDozU5kN9EOfDob7/hn68T107FOoLQ0tfhi8gHd6qcfFi0l6ZXxYAIsCBXWLjoT6xYunLJkJ97plMzPyHtM48VOaXAuCKJMCBPaXVW0jOP9X/ymZCffD9wgvlBgvAFUmAA1ekjYY6AGy3iVEPAAAAriQCHAAAChLgAABQkAAHAICCBDgAABQkwAEAoCABDgAABQlwAAAoSIADAEBBAhwAAAoS4AAAUJAABwCAggQ4AAAUJMABAKAgAQ4AAAUJcAAAKEiAAwBAQVOjHsAoTE3tG/UQYE9qtVqZnJzM1L596fV6ox4OsAbnKuysS7XmlRbgB5PkR971t0c9DtjTmlvfNuohABvgXIUddzDJmZUHr7QA/06S70tydtQDAQBgTzuYfntepOV/PQEAQDkuwgQAgIIEOAAAFCTAAQCgIAEOAAAFXWm7oAAj1O50707yO01d/caoxwIs1+50p5N8JsnVSbpJfrqpq/OjHRXsTWbAgR3X7nSn2p3uZ5L89VGPBVjTP0jyiaaubk/yH5O8a8TjgT3LDDhQwr4kH0/y0KgHAqzpniTPDb5/UZIXRjgW2NMEOLDjmrp6Nslvtzvdt456LMDqmro6kyTtTve2JLcn+bnRjgj2LgEOACRJ2p3u25P8UpIfb+pqbtTjgb1KgAMAaXe6dfrx/aNNXXVHPR7YywQ4sCXtTvfdST7Q1NVtQ8felOTeJDcn+WqSO5q6+uaIhghXvE2epx9JciDJ59qdbpLc09TVvyo/atj7BDiwKe1Ot5XkfelfsPXA0PGrknwhyZ1JPpvkw0k+n+R1i69p6urnS44VrlRbOU+buvqpEQwVrki2IQQ266NJ/m6Sj604/vYkZ5u6+uRg7+C7ktzY7nRfU3qAgPMUxpkABzbr7sH/zl65tOSWJA8uPmjqaj7JtwbHgbKcpzDGBDiwKU1dPb7GU/uTnFtx7FySa3Z2RMBKzlMYbwIc2C7n0r+F9bBrkjw9grEAq3OewhgQ4MB2eTD9XRWSJO1OdzLJ8STfGNmIgJWcpzAG7IICbJf7kxxpd7rvTfLpJB9K8miSr490VMAw5ymMATPgwLYY3G7+nUnen2QmyTuSvKepq95IBwYscZ7CeGj1es45AAAoxQw4AAAUJMABAKAgAQ4AAAUJcAAAKEiAAwBAQQIcAAAKEuAAAFCQAAcAgIIEOAAAFDQ16gEAUF670z2Q5PeT/GCSdpIbk/yNpq5+fcXrppM8meRMU1dHB8ceSfLLTV3ds+K1NyX5dpK6qauvX+LzJ5L8YZK/09TVQ9vwKwHsGmbAAa5M/yzJrzZ1dWrw+HySd63yur+WZHK7P7ypq4Ukv5Dk3u1+b4BxJ8ABrjDtTvd7k7wvy+P3/07y4+1Od2Vs/0T6M9XbrqmrLyW5sd3p3r4T7w8wrixBAdjl2p3u55IcaurqHYPH1yd5NMmbm7r6k1V+5O8l+YOmrmaHjv2fSd6S5AeS3D94n2uT/FCS/yHJnVsY188n+e9Xeeq+pq7eO/j+C0n+YZLf2+z7A+xWZsABdr/vJHnJ4oOmrk4k+aOsvqQkSX4syZdXHHsuyW8m+RtDx96Z5I+TnNjiuH45yV8Y+vpgkmeT/E9Dr/lykne0O10TQsAVw194ALvfsgAfeCZJtfKFgyUmTZL/bpX3+bUkH01/RjrpLz/512t85sfane5HVxxrDT9o6urpJE8PPvd1Se5K8veauvrq0Mv+vyTXJrklyboXbgLsFWbAAXa/7yQ50O50r0uSdqe7P8nbsvqyjiPpX1R5cpXnvpTke9ud7uvbne5VSX4k/SUiq/nFJK9b8fWjq72w3ekeTfLrSX6lqatPrXh6ZvDnRf+xALBXmQEH2P2+M/jzpUnOpB/HjyX5N6u8dmHw50UTME1dnW13ur+b/tKVY0m+3tTVd9ud7mqfebKpq4eHD7Q73bmVLxosLflc+mvS//Eq77N40ef8ah8CsBcJcIDdbzHAX9LudN+Q5D9LcltTV8+v8tqZJHNJjq7xXr+W5L9Kf0nLWstPNuNjSW5O8vqmri4K9KFxPLENnwWwK1iCArD7PZb+zPY/Sv/Cx7/a1FVntRc2ddVL/8Y7r13jvb6Y5NVJ3p1+jG9Zu9P9u0n+fpI7Bo+/d/B1/dDLXptkNsnDF78DwN4kwAF2ucHM8pPpx+wPN3X1R5f4kS8lWXXv7aauuunfIfObTV19+zKH9t4kL07y2+nPcD8++Prjodf8QJIvN3VlCQpwxWj1er1RjwGAgtqd7g1JHkry8qaunhzhOCbSXxv+001d/T+jGgdAaWbAAa4wTV19N8l96d+QZ5T+WpI/Fd/AlUaAA1yZPpLkb7U73elRfPhg9vvnkvwXo/h8gFGyBAUAAAoyAw4AAAUJcAAAKEiAAwBAQQIcAAAKEuAAAFCQAAcAgIIEOAAAFCTAAQCgoP8fQXFGtWcAgowAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 864x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "dark"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"alpha = -0.301\n",
"alpha = -0.301\n",
"alpha = -0.301\n"
]
}
],
"source": [
"frequencies = np.array([10, 100]) # mhz\n",
"intensities = np.array([10, 5]) # jy\n",
"\n",
"v = 0.95 * sc.c\n",
"theta = math.radians(10)\n",
"\n",
"# forward jet\n",
"forward_frequencies = frequencies * doppler(v=v, theta=theta, jet='forward')\n",
"forward_intensities = intensities * doppler(v=v, theta=theta, jet='forward') ** 3\n",
"\n",
"# away jet\n",
"away_frequencies = frequencies * doppler(v=v, theta=theta, jet='away')\n",
"away_intensities = intensities * doppler(v=v, theta=theta, jet='away') ** 3\n",
"\n",
"make_plot(x=frequencies, y=intensities, x2=forward_frequencies, y2=forward_intensities,\n",
" x3=away_frequencies, y3=away_intensities, xlabel=r'$\\nu$ (MHz)',\n",
" ylabel=r'$I_{\\nu}$ (Jy)', Log='xy')\n",
"\n",
"# spectral index does not change\n",
"old_alpha = alpha(v=frequencies, s=intensities, verbose=True)\n",
"forward_alpha = alpha(v=forward_frequencies, s=forward_intensities, verbose=True)\n",
"away_alpha = alpha(v=away_frequencies, s=away_intensities, verbose=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"What is the difference in $ I_{\\nu} $ between the jets at a given $ \\nu $?"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x576 with 1 Axes>"
]
},
"metadata": {
"needs_background": "dark"
},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Intensity difference = 178657\n"
]
}
],
"source": [
"new_intensities = []\n",
"\n",
"# scale the counterjet to the forward jet frequencies\n",
" \n",
"new_intensities.append(scale_flux(old_v=away_frequencies[0], new_v=forward_frequencies[0],\n",
" old_s=away_intensities[0], alpha=old_alpha))\n",
"new_intensities.append(scale_flux(old_v=away_frequencies[1], new_v=forward_frequencies[1],\n",
" old_s=away_intensities[1], alpha=old_alpha))\n",
"\n",
"make_plot(x=forward_frequencies, y=new_intensities, x2=forward_frequencies,\n",
" y2=forward_intensities, x3=away_frequencies, y3=away_intensities,\n",
" xlabel=r'$\\nu$ (MHz)', ylabel=r'$I_{\\nu}$ (Jy)', Log='xy')\n",
"\n",
"print('Intensity difference =', int(np.mean(forward_intensities) / np.mean(new_intensities)))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"For M87, the ratio in brightness between the jets is 450 and $ \\alpha = -0.5 $. i.e.\n",
"$$ \\Big( \\frac{D_{+}}{D_{-}} \\Big)^{3 - \\alpha} = 450 $$\n",
"where the $ \\alpha $ is a correction factor arising because we scale. Then \n",
"$$ \\Big( \\frac{\\gamma (1 + \\beta \\cos \\theta)}{\\gamma (1 - \\beta \\cos \\theta)} \\Big)^{3 - \\alpha} = 450 \\\\\n",
"\\Big( \\frac{1 + \\beta \\cos \\theta}{1 - \\beta \\cos \\theta} \\Big)^{-3.5} = 450 $$\n",
"\n",
"We constain the following:\n",
"\n",
"* 45 degrees $ > \\theta > $ 0 degrees by definition.\n",
"* $ \\gamma > 1.4 $\n",
"* $ v > 0.7 c $\n"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"v > 0.7c\n"
]
}
],
"source": [
"def v_from_gamma(gamma):\n",
" ''' get the constaint on the bulk velocity from the lorentz factor '''\n",
" return np.sqrt(sc.c ** 2 - (sc.c / gamma) ** 2)/ sc.c\n",
"\n",
"print('v >', str(np.round(v_from_gamma(1.4), 2)) + 'c')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Burbidge's minimum energy argument\n",
"\n",
"This argument gets a value for the magnetic field by minimising the total energy density.\n",
"\n",
"This relies on a measurement of the volume emissivity, $ j_{\\nu} $. The units are $ \\mathrm{erg} \\; \\mathrm{s}^{-1} \\; \\mathrm{cm}^{-3} \\; \\mathrm{Hz}^{-1} \\; \\mathrm{sr}^{-1} $. It can be measured for optically thin media and we emasure it at the frequency at which the electrons radiate that are carrying the bulk of the kinetic energy density. The bulk energy density is carried by the lowest $ \\gamma $ electrons because they are the most numerous. This holds so long as $ p < -2 $ where $$ \\alpha = \\frac{1 + p}{2}. $$\n",
"\n",
"In the below image from [Carilli et al. (1991)](http://articles.adsabs.harvard.edu/pdf/1991ApJ...383..554C), we calculate $j_{\\nu} $ at $ \\nu = 10^{2.8} $ MHz as that is the lowest frequency for which the power law holds. $$ j_{\\nu} \\propto \\frac{L_{\\nu}}{V} $$ where $ V $ is the volume of the hotspot (we can assume a sphere) and $ L_{\\nu} $ is the luminosity per hertz. To go from a sky scale to a radius, which is needed for the volume, we have to know the redshift. Likewise, the luminosity will also depend on the distance.\n",
"\n",
"Doing this analysis gives $ B \\approx 3 \\times 10^{4} $ G (where 1 T = 10,000 G). Is it possible do find $ B $ with this line of reasoning for blazars? It requires the following:\n",
"\n",
"* We need the volume emissivity, $ j_{\\nu} $.\n",
" * To find out what $ \\nu $ to calculate $ j $ at, we need to ensure $ p < -2 $.\n",
" * To get $ p $, we need the spectral index, $ \\alpha $.\n",
"* $ j_{\\nu} $ requires $ L_{\\nu} $, the luminosity per hertz.\n",
" * For $ L_{\\nu} $, we need the flux density $ S_{\\nu} $ (which has to be converted from $ \\mathrm{Jy} \\; \\mathrm{beam}^{-1} $, requiring the beam size),\n",
" * the luminosity distance $D_{L} $,\n",
" * the redshift, $ z $,\n",
" * and the spectral index, $ \\alpha $ (already mentioned).\n",
"* $ j_{\\nu} $ also requires the volume, $ V $.\n",
" * $ V $ requires the radius, $ r $, if we assume a sphere.\n",
" * $ r $ requires the distance, $ z $ (already mentioned).\n",
" * $ r $ requires the size of the radio lobe on the radio map in arcseconds.\n",
"* Then $ j_{\\nu} \\approx n_{e} \\cdot P_{\\mathrm{single \\; e^{-}}} \\cdot \\frac{1}{4 \\pi} \\cdot \\frac{1}{\\nu}$\n"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
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| {'cells': [{'cell_type': 'markdown', 'metadata': {}, 'source': ['# Blazars at low frequencies']}, {'cell_type': 'markdown', 'metadata': {}, 'source': ['* The bulk velocity is $ v $.\n', '* The bulk Lorentz factor is $$ \\gamma = \\frac{1}{\\sqrt{1 - \\beta^{2}}} $$ where $ \\beta = \\frac{v}{c} $.\n', '* The angle of the jet to our line of sight is $ \\theta $.\n', '* The specific intensity the $ e^{-} $ emit at is $ I_{\\nu} \\propto \\nu^{\\alpha} $ (a power law) between $ \\nu_{1} $ and $ \\nu_{2} $, and $ \\frac{I_{\\nu}}{\\nu^{3}} $ is Lorentz invariant.\n', '\n', '* The $ \\nu $ of jet pointing at us is Doppler shifted (in frequency) by $ D_{+} = \\gamma (1 + \\beta \\cos \\theta) $. (The $ 1 + \\beta \\cos \\theta $ is the non-relativistic Doppler shifting and the $ \\gamma $ comes from time dilation.)\n', '* The amplitude of the spectrum is boosted by $ D_{+}^{3} $, from the Lorentz invariant quantity above. The slope, $ \\alpha $, does not change.\n', '* The counterjet is deboosted by $ D_{-} = \\gamma (1 - \\beta \\cos \\theta) $.\n', '* See this [Berkley tutorial](http://w.astro.berkeley.edu/~echiang/rad/ps8aans.pdf).\n', '* A common way of finding the Doppler factor is using the equipartition of energy argument, the X-ray flux density, or (in [this](https://iopscience.iop.org/article/10.1086/307587) case), total flux density variation monitoring data at 22 GHz and 37 GHz.\n', '* An important application of precise Doppler factors is calculating the Lorentz factors and viewing angles of AGN relativistic outflows.']}, {'cell_type': 'code', 'execution_count': 4, 'metadata': {}, 'outputs': [], 'source': ['import numpy as np\n', 'import scipy.constants as sc\n', 'import matplotlib.pyplot as plt\n', 'import math\n', 'from IPython.display import Image\n', '\n', 'import warnings\n', "warnings.simplefilter(action='ignore', category=FutureWarning)\n", '\n', 'from matplotlib import pylab\n', "pylab.rcParams['figure.figsize'] = (12, 8)"]}, {'cell_type': 'code', 'execution_count': 5, 'metadata': {}, 'outputs': [], 'source': ['def beta(v):\n', " ''' velocity '''\n", ' return v / sc.c\n', '\n', '\n', 'def gamma(v):\n', " ''' lorentz factor '''\n", ' return 1 / np.sqrt(1 - beta(v) ** 2)\n', '\n', '\n', "def doppler(v, theta, jet='forward'):\n", " ''' doppler factor '''\n", " if jet == 'forward':\n", ' return gamma(v) * (1 + beta(v) * np.cos(math.radians(theta)))\n', " elif jet == 'away':\n", ' return gamma(v) * (1 - beta(v) * np.cos(math.radians(theta)))\n', ' \n', ' \n', 'def alpha(v, s, verbose=False):\n', " ''' spectral index '''\n", ' a = np.log(s[0] / s[1]) / np.log(v[0] / v[1])\n', ' if verbose:\n', " print('alpha =', np.round(a, 3))\n", ' return a\n', ' \n', '\n', 'def scale_flux(old_v, new_v, old_s, alpha):\n', " ''' scale the flux density using the spectral index relation '''\n", ' return old_s * (new_v / old_v) ** alpha\n', '\n', ' \n', "def make_plot(x, y, x2='', y2='', x3='', y3='', xlabel='', ylabel='', Log=' '):\n", " ''' plot the data '''\n", ' plt.xlabel(xlabel)\n', ' plt.ylabel(ylabel)\n', " plt.plot(x, y, color='w')\n", " if y2 != '':\n", " if x2 == '':\n", ' x2 = x\n', " plt.plot(x2, y2, color='r')\n", " if y3 != '':\n", " if x3 == '':\n", ' x3 = x\n', " plt.plot(x3, y3, color='b')\n", " if 'x' in Log:\n", " plt.xscale('log')\n", " if 'y' in Log:\n", " plt.yscale('log') \n", ' plt.show()']}, {'cell_type': 'code', 'execution_count': 6, 'metadata': {}, 'outputs': [{'data': {'image/png': 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\n', 'text/plain': ['<Figure size 864x576 with 1 Axes>']}, 'metadata': {'needs_background': 'dark'}, 'output_type': 'display_data'}], 'source': ['fraction_of_c, lorentz_factors = [], []\n', '\n', 'for i in np.linspace(0, 1, 1000):\n', ' if i != 1: # prevents inf\n', ' fraction_of_c.append(i)\n', ' lorentz_factors.append(gamma(v=i * sc.c))\n', '\n', "make_plot(x=fraction_of_c, y=lorentz_factors, xlabel='Fraction of $c$',\n", " ylabel='Lorentz factor')"]}, {'cell_type': 'code', 'execution_count': 7, 'metadata': {}, 'outputs': [{'data': {'image/png': 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\n', 'text/plain': ['<Figure size 864x576 with 1 Axes>']}, 'metadata': {'needs_background': 'dark'}, 'output_type': 'display_data'}], 'source': ['angle, doppler_forward, doppler_away = [], [], []\n', '\n', 'for i in np.linspace(0, 90, 1000):\n', ' angle.append(i)\n', " doppler_forward.append(doppler(0.99 * sc.c, theta=i, jet='forward'))\n", " doppler_away.append(doppler(0.99 * sc.c, theta=i, jet='away'))\n", '\n', "make_plot(x=angle, y=doppler_forward, y2=doppler_away, xlabel='Angle (degree)',\n", " ylabel='Doppler factor')"]}, {'cell_type': 'markdown', 'metadata': {}, 'source': ['We have know the intrinsic values of $ I_{\\nu} $ from a source at 10 MHz and 100 MHz from both jet lobes.\n', '\n', '* $ I_{10+} = 10 $ Jy.\n', '* $ I_{100+} = 5 $ Jy.\n', '\n', 'We will shift it for $ v = 0.95 c $ and $ \\theta = 10 $ degrees.']}, {'cell_type': 'code', 'execution_count': 16, 'metadata': {}, 'outputs': [{'data': {'image/png': 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\n', 'text/plain': ['<Figure size 864x576 with 1 Axes>']}, 'metadata': {'needs_background': 'dark'}, 'output_type': 'display_data'}, {'name': 'stdout', 'output_type': 'stream', 'text': ['alpha = -0.301\n', 'alpha = -0.301\n', 'alpha = -0.301\n']}], 'source': ['frequencies = np.array([10, 100]) # mhz\n', 'intensities = np.array([10, 5]) # jy\n', '\n', 'v = 0.95 * sc.c\n', 'theta = math.radians(10)\n', '\n', '# forward jet\n', "forward_frequencies = frequencies * doppler(v=v, theta=theta, jet='forward')\n", "forward_intensities = intensities * doppler(v=v, theta=theta, jet='forward') ** 3\n", '\n', '# away jet\n', "away_frequencies = frequencies * doppler(v=v, theta=theta, jet='away')\n", "away_intensities = intensities * doppler(v=v, theta=theta, jet='away') ** 3\n", '\n', 'make_plot(x=frequencies, y=intensities, x2=forward_frequencies, y2=forward_intensities,\n', " x3=away_frequencies, y3=away_intensities, xlabel=r'$\\nu$ (MHz)',\n", " ylabel=r'$I_{\\nu}$ (Jy)', Log='xy')\n", '\n', '# spectral index does not change\n', 'old_alpha = alpha(v=frequencies, s=intensities, verbose=True)\n', 'forward_alpha = alpha(v=forward_frequencies, s=forward_intensities, verbose=True)\n', 'away_alpha = alpha(v=away_frequencies, s=away_intensities, verbose=True)']}, {'cell_type': 'markdown', 'metadata': {}, 'source': ['What is the difference in $ I_{\\nu} $ between the jets at a given $ \\nu $?']}, {'cell_type': 'code', 'execution_count': 17, 'metadata': {}, 'outputs': [{'data': {'image/png': 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\n', 'text/plain': ['<Figure size 864x576 with 1 Axes>']}, 'metadata': {'needs_background': 'dark'}, 'output_type': 'display_data'}, {'name': 'stdout', 'output_type': 'stream', 'text': ['Intensity difference = 178657\n']}], 'source': ['new_intensities = []\n', '\n', '# scale the counterjet to the forward jet frequencies\n', ' \n', 'new_intensities.append(scale_flux(old_v=away_frequencies[0], new_v=forward_frequencies[0],\n', ' old_s=away_intensities[0], alpha=old_alpha))\n', 'new_intensities.append(scale_flux(old_v=away_frequencies[1], new_v=forward_frequencies[1],\n', ' old_s=away_intensities[1], alpha=old_alpha))\n', '\n', 'make_plot(x=forward_frequencies, y=new_intensities, x2=forward_frequencies,\n', ' y2=forward_intensities, x3=away_frequencies, y3=away_intensities,\n', " xlabel=r'$\\nu$ (MHz)', ylabel=r'$I_{\\nu}$ (Jy)', Log='xy')\n", '\n', "print('Intensity difference =', int(np.mean(forward_intensities) / np.mean(new_intensities)))"]}, {'cell_type': 'markdown', 'metadata': {}, 'source': ['For M87, the ratio in brightness between the jets is 450 and $ \\alpha = -0.5 $. i.e.\n', '$$ \\Big( \\frac{D_{+}}{D_{-}} \\Big)^{3 - \\alpha} = 450 $$\n', 'where the $ \\alpha $ is a correction factor arising because we scale. Then \n', '$$ \\Big( \\frac{\\gamma (1 + \\beta \\cos \\theta)}{\\gamma (1 - \\beta \\cos \\theta)} \\Big)^{3 - \\alpha} = 450 \\\\\n', '\\Big( \\frac{1 + \\beta \\cos \\theta}{1 - \\beta \\cos \\theta} \\Big)^{-3.5} = 450 $$\n', '\n', 'We constain the following:\n', '\n', '* 45 degrees $ > \\theta > $ 0 degrees by definition.\n', '* $ \\gamma > 1.4 $\n', '* $ v > 0.7 c $\n']}, {'cell_type': 'code', 'execution_count': 18, 'metadata': {}, 'outputs': [{'name': 'stdout', 'output_type': 'stream', 'text': ['v > 0.7c\n']}], 'source': ['def v_from_gamma(gamma):\n', " ''' get the constaint on the bulk velocity from the lorentz factor '''\n", ' return np.sqrt(sc.c ** 2 - (sc.c / gamma) ** 2)/ sc.c\n', '\n', "print('v >', str(np.round(v_from_gamma(1.4), 2)) + 'c')"]}, {'cell_type': 'markdown', 'metadata': {}, 'source': ["## Burbidge's minimum energy argument\n", '\n', 'This argument gets a value for the magnetic field by minimising the total energy density.\n', '\n', 'This relies on a measurement of the volume emissivity, $ j_{\\nu} $. The units are $ \\mathrm{erg} \\; \\mathrm{s}^{-1} \\; \\mathrm{cm}^{-3} \\; \\mathrm{Hz}^{-1} \\; \\mathrm{sr}^{-1} $. It can be measured for optically thin media and we emasure it at the frequency at which the electrons radiate that are carrying the bulk of the kinetic energy density. The bulk energy density is carried by the lowest $ \\gamma $ electrons because they are the most numerous. This holds so long as $ p < -2 $ where $$ \\alpha = \\frac{1 + p}{2}. $$\n', '\n', 'In the below image from [Carilli et al. (1991)](http://articles.adsabs.harvard.edu/pdf/1991ApJ...383..554C), we calculate $j_{\\nu} $ at $ \\nu = 10^{2.8} $ MHz as that is the lowest frequency for which the power law holds. $$ j_{\\nu} \\propto \\frac{L_{\\nu}}{V} $$ where $ V $ is the volume of the hotspot (we can assume a sphere) and $ L_{\\nu} $ is the luminosity per hertz. To go from a sky scale to a radius, which is needed for the volume, we have to know the redshift. Likewise, the luminosity will also depend on the distance.\n', '\n', 'Doing this analysis gives $ B \\approx 3 \\times 10^{4} $ G (where 1 T = 10,000 G). Is it possible do find $ B $ with this line of reasoning for blazars? It requires the following:\n', '\n', '* We need the volume emissivity, $ j_{\\nu} $.\n', ' * To find out what $ \\nu $ to calculate $ j $ at, we need to ensure $ p < -2 $.\n', ' * To get $ p $, we need the spectral index, $ \\alpha $.\n', '* $ j_{\\nu} $ requires $ L_{\\nu} $, the luminosity per hertz.\n', ' * For $ L_{\\nu} $, we need the flux density $ S_{\\nu} $ (which has to be converted from $ \\mathrm{Jy} \\; \\mathrm{beam}^{-1} $, requiring the beam size),\n', ' * the luminosity distance $D_{L} $,\n', ' * the redshift, $ z $,\n', ' * and the spectral index, $ \\alpha $ (already mentioned).\n', '* $ j_{\\nu} $ also requires the volume, $ V $.\n', ' * $ V $ requires the radius, $ r $, if we assume a sphere.\n', ' * $ r $ requires the distance, $ z $ (already mentioned).\n', ' * $ r $ requires the size of the radio lobe on the radio map in arcseconds.\n', '* Then $ j_{\\nu} \\approx n_{e} \\cdot P_{\\mathrm{single \\; e^{-}}} \\cdot \\frac{1}{4 \\pi} \\cdot \\frac{1}{\\nu}$\n']}, {'cell_type': 'code', 'execution_count': 19, 'metadata': {}, 'outputs': [{'data': {'image/png': 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\n', 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#
# PySNMP MIB module DSLAM-UPC-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/DSLAM-UPC-MIB
# Produced by pysmi-0.3.4 at Wed May 1 12:54:39 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
OctetString, ObjectIdentifier, Integer = mibBuilder.importSymbols("ASN1", "OctetString", "ObjectIdentifier", "Integer")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsIntersection, ValueSizeConstraint, ConstraintsUnion, ValueRangeConstraint, SingleValueConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsIntersection", "ValueSizeConstraint", "ConstraintsUnion", "ValueRangeConstraint", "SingleValueConstraint")
atmVplVpi, atmVclVci, atmVclVpi = mibBuilder.importSymbols("ATM-MIB", "atmVplVpi", "atmVclVci", "atmVclVpi")
ifIndex, = mibBuilder.importSymbols("IF-MIB", "ifIndex")
pgainDSLAM, = mibBuilder.importSymbols("PAIRGAIN-COMMON-HD-MIB", "pgainDSLAM")
NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance")
Bits, iso, Gauge32, Counter32, IpAddress, MibIdentifier, ModuleIdentity, Unsigned32, TimeTicks, ObjectIdentity, enterprises, Counter64, Integer32, NotificationType, MibScalar, MibTable, MibTableRow, MibTableColumn = mibBuilder.importSymbols("SNMPv2-SMI", "Bits", "iso", "Gauge32", "Counter32", "IpAddress", "MibIdentifier", "ModuleIdentity", "Unsigned32", "TimeTicks", "ObjectIdentity", "enterprises", "Counter64", "Integer32", "NotificationType", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn")
TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString")
pgUpcMIB = ModuleIdentity((1, 3, 6, 1, 4, 1, 927, 1, 9, 11))
if mibBuilder.loadTexts: pgUpcMIB.setLastUpdated('9911081200Z')
if mibBuilder.loadTexts: pgUpcMIB.setOrganization('PairGain Technologies, Inc.')
if mibBuilder.loadTexts: pgUpcMIB.setContactInfo('')
if mibBuilder.loadTexts: pgUpcMIB.setDescription('The MIB Module for UPC.')
pgUpcObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1))
pgAtmUpcPortTable = MibTable((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 1), )
if mibBuilder.loadTexts: pgAtmUpcPortTable.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmUpcPortTable.setDescription('A list of UPC entries for all interfaces.')
pgAtmUpcPortEntry = MibTableRow((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 1, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"))
if mibBuilder.loadTexts: pgAtmUpcPortEntry.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmUpcPortEntry.setDescription('An entry containing the UPC information for the ifIndex.')
pgAtmUpcPortAdminStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 1, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enable", 1), ("disable", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: pgAtmUpcPortAdminStatus.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmUpcPortAdminStatus.setDescription('The desired UPC state of the ifIndex.')
pgAtmUpcVplTable = MibTable((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 2), )
if mibBuilder.loadTexts: pgAtmUpcVplTable.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmUpcVplTable.setDescription('A list of UPC entries for all VPLs.')
pgAtmUpcVplEntry = MibTableRow((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 2, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"), (0, "ATM-MIB", "atmVplVpi"))
if mibBuilder.loadTexts: pgAtmUpcVplEntry.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmUpcVplEntry.setDescription('An entry containing UPC information.')
pgAtmUpcVplAdminStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 2, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enable", 1), ("disable", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: pgAtmUpcVplAdminStatus.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmUpcVplAdminStatus.setDescription('The desired UPC state of the VPL.')
pgAtmUpcVclTable = MibTable((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 3), )
if mibBuilder.loadTexts: pgAtmUpcVclTable.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmUpcVclTable.setDescription('A list of UPC entries for all VCLs.')
pgAtmUpcVclEntry = MibTableRow((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 3, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"), (0, "ATM-MIB", "atmVclVpi"), (0, "ATM-MIB", "atmVclVci"))
if mibBuilder.loadTexts: pgAtmUpcVclEntry.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmUpcVclEntry.setDescription('An entry containing UPC information.')
pgAtmUpcVclAdminStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 3, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enable", 1), ("disable", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: pgAtmUpcVclAdminStatus.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmUpcVclAdminStatus.setDescription('The desired UPC state of the VCL.')
pgAtmVplStatTable = MibTable((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 4), )
if mibBuilder.loadTexts: pgAtmVplStatTable.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmVplStatTable.setDescription('This table contains all the statistics counters for each VPL. Use the table to monitor VPL incoming cell and outgoing cell usage.')
pgAtmVplStatEntry = MibTableRow((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 4, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"), (0, "ATM-MIB", "atmVplVpi"))
if mibBuilder.loadTexts: pgAtmVplStatEntry.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmVplStatEntry.setDescription('Each entry in this table represents a VPL.')
pgAtmVplStatTotalCellIns = MibTableColumn((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 4, 1, 1), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: pgAtmVplStatTotalCellIns.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmVplStatTotalCellIns.setDescription('The total number of valid ATM cells received by this VPL including both CLP=0 and CLP=1 cells. The cells are counted prior to the application of the traffic policing.')
pgAtmVplStatClp0CellIns = MibTableColumn((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 4, 1, 2), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: pgAtmVplStatClp0CellIns.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmVplStatClp0CellIns.setDescription('The number of valid ATM cells received by this VPL with CLP=0. The cells are counted prior to the application of the traffic policing.')
pgAtmVplStatTotalDiscards = MibTableColumn((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 4, 1, 3), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: pgAtmVplStatTotalDiscards.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmVplStatTotalDiscards.setDescription('The total number of valid ATM cells discarded by the traffic policing entity. This includes cells originally received with CLP=0 and CLP=1.')
pgAtmVplStatClp0Discards = MibTableColumn((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 4, 1, 4), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: pgAtmVplStatClp0Discards.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmVplStatClp0Discards.setDescription('The total number of valid ATM cells received with CLP=0 and discarded by the traffic policing entity.')
pgAtmVplStatTotalCellOuts = MibTableColumn((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 4, 1, 5), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: pgAtmVplStatTotalCellOuts.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmVplStatTotalCellOuts.setDescription('The total number of valid ATM cells transmitted by this VPL. This includes both CLP=0 and CLP=1 cells.')
pgAtmVplStatClp0CellOuts = MibTableColumn((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 4, 1, 6), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: pgAtmVplStatClp0CellOuts.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmVplStatClp0CellOuts.setDescription('The total number of valid ATM cells transmitted with CLP=0 by this VPL.')
pgAtmVplStatTaggedOuts = MibTableColumn((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 4, 1, 7), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: pgAtmVplStatTaggedOuts.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmVplStatTaggedOuts.setDescription('The total number of valid ATM cells tagged by the traffic policing entity from CLP=0 to CLP=1 and transmitted by this VPL.')
pgAtmVplStatTotalNonConforming = MibTableColumn((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 4, 1, 8), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: pgAtmVplStatTotalNonConforming.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmVplStatTotalNonConforming.setDescription('For this VPL, the total number of valid ATM cells that violated the traffic service contract.')
pgAtmVplStatClearCounters = MibTableColumn((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 4, 1, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1))).clone(namedValues=NamedValues(("clear", 1)))).setMaxAccess("writeonly")
if mibBuilder.loadTexts: pgAtmVplStatClearCounters.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmVplStatClearCounters.setDescription('For this VPL, clear the statistics counters to zero.')
pgAtmVplStatAllClearCounters = MibScalar((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1))).clone(namedValues=NamedValues(("clear", 1)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: pgAtmVplStatAllClearCounters.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmVplStatAllClearCounters.setDescription('For all VPLs, clear the statistics counters to zero.')
pgAtmVclStatTable = MibTable((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 6), )
if mibBuilder.loadTexts: pgAtmVclStatTable.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmVclStatTable.setDescription('This table contains all the statistics counters for each VCL. Use the table to monitor VCL incoming cell and outgoing cell usage.')
pgAtmVclStatEntry = MibTableRow((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 6, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"), (0, "ATM-MIB", "atmVclVpi"), (0, "ATM-MIB", "atmVclVci"))
if mibBuilder.loadTexts: pgAtmVclStatEntry.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmVclStatEntry.setDescription('Each entry in this table represents a VCL.')
pgAtmVclStatTotalCellIns = MibTableColumn((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 6, 1, 1), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: pgAtmVclStatTotalCellIns.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmVclStatTotalCellIns.setDescription('The total number of valid ATM cells received by this VCL including both CLP=0 and CLP=1 cells. The cells are counted prior to the application of the traffic policing.')
pgAtmVclStatClp0CellIns = MibTableColumn((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 6, 1, 2), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: pgAtmVclStatClp0CellIns.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmVclStatClp0CellIns.setDescription('The number of valid ATM cells received by this VCL with CLP=0. The cells are counted prior to the application of the traffic policing.')
pgAtmVclStatTotalDiscards = MibTableColumn((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 6, 1, 3), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: pgAtmVclStatTotalDiscards.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmVclStatTotalDiscards.setDescription('The total number of valid ATM cells discarded by the traffic policing entity. This includes cells originally received with CLP=0 and CLP=1.')
pgAtmVclStatClp0Discards = MibTableColumn((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 6, 1, 4), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: pgAtmVclStatClp0Discards.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmVclStatClp0Discards.setDescription('The total number of valid ATM cells received with CLP=0 and discarded by the traffic policing entity.')
pgAtmVclStatTotalCellOuts = MibTableColumn((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 6, 1, 5), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: pgAtmVclStatTotalCellOuts.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmVclStatTotalCellOuts.setDescription('The total number of valid ATM cells transmitted by this VCL. This includes both CLP=0 and CLP=1 cells.')
pgAtmVclStatClp0CellOuts = MibTableColumn((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 6, 1, 6), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: pgAtmVclStatClp0CellOuts.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmVclStatClp0CellOuts.setDescription('The total number of valid ATM cells transmitted with CLP=0 by this VCL.')
pgAtmVclStatTaggedOuts = MibTableColumn((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 6, 1, 7), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: pgAtmVclStatTaggedOuts.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmVclStatTaggedOuts.setDescription('The total number of valid ATM cells tagged by the traffic policing entity from CLP=0 to CLP=1 and transmitted by this VCL.')
pgAtmVclStatTotalNonConforming = MibTableColumn((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 6, 1, 8), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: pgAtmVclStatTotalNonConforming.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmVclStatTotalNonConforming.setDescription('For this VCL, the total number of valid ATM cells that violated the traffic service contract.')
pgAtmVclStatClearCounters = MibTableColumn((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 6, 1, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1))).clone(namedValues=NamedValues(("clear", 1)))).setMaxAccess("writeonly")
if mibBuilder.loadTexts: pgAtmVclStatClearCounters.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmVclStatClearCounters.setDescription('For this VCL, clear statistics counters to zero.')
pgAtmVclStatAllClearCounters = MibScalar((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1))).clone(namedValues=NamedValues(("clear", 1)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: pgAtmVclStatAllClearCounters.setStatus('mandatory')
if mibBuilder.loadTexts: pgAtmVclStatAllClearCounters.setDescription('For all VCLs, clear statistics counters to zero.')
mibBuilder.exportSymbols("DSLAM-UPC-MIB", pgAtmUpcVplAdminStatus=pgAtmUpcVplAdminStatus, pgUpcObjects=pgUpcObjects, pgAtmVclStatTotalNonConforming=pgAtmVclStatTotalNonConforming, pgAtmVplStatAllClearCounters=pgAtmVplStatAllClearCounters, pgAtmUpcPortTable=pgAtmUpcPortTable, pgAtmVplStatTotalDiscards=pgAtmVplStatTotalDiscards, pgAtmUpcPortAdminStatus=pgAtmUpcPortAdminStatus, pgAtmUpcVclAdminStatus=pgAtmUpcVclAdminStatus, pgAtmUpcPortEntry=pgAtmUpcPortEntry, pgAtmVplStatTotalCellOuts=pgAtmVplStatTotalCellOuts, pgAtmVplStatClp0Discards=pgAtmVplStatClp0Discards, pgAtmVclStatEntry=pgAtmVclStatEntry, pgAtmVplStatClearCounters=pgAtmVplStatClearCounters, pgAtmVplStatTaggedOuts=pgAtmVplStatTaggedOuts, pgAtmVclStatTotalCellOuts=pgAtmVclStatTotalCellOuts, pgAtmVplStatTable=pgAtmVplStatTable, pgAtmVclStatClearCounters=pgAtmVclStatClearCounters, PYSNMP_MODULE_ID=pgUpcMIB, pgAtmVclStatClp0Discards=pgAtmVclStatClp0Discards, pgAtmUpcVplEntry=pgAtmUpcVplEntry, pgAtmVplStatClp0CellOuts=pgAtmVplStatClp0CellOuts, pgAtmVclStatTotalCellIns=pgAtmVclStatTotalCellIns, pgAtmVplStatTotalCellIns=pgAtmVplStatTotalCellIns, pgAtmUpcVplTable=pgAtmUpcVplTable, pgAtmVclStatTable=pgAtmVclStatTable, pgAtmVclStatClp0CellOuts=pgAtmVclStatClp0CellOuts, pgAtmVplStatClp0CellIns=pgAtmVplStatClp0CellIns, pgAtmVclStatAllClearCounters=pgAtmVclStatAllClearCounters, pgAtmVclStatTaggedOuts=pgAtmVclStatTaggedOuts, pgUpcMIB=pgUpcMIB, pgAtmVplStatEntry=pgAtmVplStatEntry, pgAtmVclStatClp0CellIns=pgAtmVclStatClp0CellIns, pgAtmUpcVclEntry=pgAtmUpcVclEntry, pgAtmVplStatTotalNonConforming=pgAtmVplStatTotalNonConforming, pgAtmVclStatTotalDiscards=pgAtmVclStatTotalDiscards, pgAtmUpcVclTable=pgAtmUpcVclTable)
| (octet_string, object_identifier, integer) = mibBuilder.importSymbols('ASN1', 'OctetString', 'ObjectIdentifier', 'Integer')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(constraints_intersection, value_size_constraint, constraints_union, value_range_constraint, single_value_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ConstraintsIntersection', 'ValueSizeConstraint', 'ConstraintsUnion', 'ValueRangeConstraint', 'SingleValueConstraint')
(atm_vpl_vpi, atm_vcl_vci, atm_vcl_vpi) = mibBuilder.importSymbols('ATM-MIB', 'atmVplVpi', 'atmVclVci', 'atmVclVpi')
(if_index,) = mibBuilder.importSymbols('IF-MIB', 'ifIndex')
(pgain_dslam,) = mibBuilder.importSymbols('PAIRGAIN-COMMON-HD-MIB', 'pgainDSLAM')
(notification_group, module_compliance) = mibBuilder.importSymbols('SNMPv2-CONF', 'NotificationGroup', 'ModuleCompliance')
(bits, iso, gauge32, counter32, ip_address, mib_identifier, module_identity, unsigned32, time_ticks, object_identity, enterprises, counter64, integer32, notification_type, mib_scalar, mib_table, mib_table_row, mib_table_column) = mibBuilder.importSymbols('SNMPv2-SMI', 'Bits', 'iso', 'Gauge32', 'Counter32', 'IpAddress', 'MibIdentifier', 'ModuleIdentity', 'Unsigned32', 'TimeTicks', 'ObjectIdentity', 'enterprises', 'Counter64', 'Integer32', 'NotificationType', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn')
(textual_convention, display_string) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'DisplayString')
pg_upc_mib = module_identity((1, 3, 6, 1, 4, 1, 927, 1, 9, 11))
if mibBuilder.loadTexts:
pgUpcMIB.setLastUpdated('9911081200Z')
if mibBuilder.loadTexts:
pgUpcMIB.setOrganization('PairGain Technologies, Inc.')
if mibBuilder.loadTexts:
pgUpcMIB.setContactInfo('')
if mibBuilder.loadTexts:
pgUpcMIB.setDescription('The MIB Module for UPC.')
pg_upc_objects = mib_identifier((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1))
pg_atm_upc_port_table = mib_table((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 1))
if mibBuilder.loadTexts:
pgAtmUpcPortTable.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmUpcPortTable.setDescription('A list of UPC entries for all interfaces.')
pg_atm_upc_port_entry = mib_table_row((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 1, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex'))
if mibBuilder.loadTexts:
pgAtmUpcPortEntry.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmUpcPortEntry.setDescription('An entry containing the UPC information for the ifIndex.')
pg_atm_upc_port_admin_status = mib_table_column((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 1, 1, 1), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('enable', 1), ('disable', 2)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
pgAtmUpcPortAdminStatus.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmUpcPortAdminStatus.setDescription('The desired UPC state of the ifIndex.')
pg_atm_upc_vpl_table = mib_table((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 2))
if mibBuilder.loadTexts:
pgAtmUpcVplTable.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmUpcVplTable.setDescription('A list of UPC entries for all VPLs.')
pg_atm_upc_vpl_entry = mib_table_row((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 2, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex'), (0, 'ATM-MIB', 'atmVplVpi'))
if mibBuilder.loadTexts:
pgAtmUpcVplEntry.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmUpcVplEntry.setDescription('An entry containing UPC information.')
pg_atm_upc_vpl_admin_status = mib_table_column((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 2, 1, 1), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('enable', 1), ('disable', 2)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
pgAtmUpcVplAdminStatus.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmUpcVplAdminStatus.setDescription('The desired UPC state of the VPL.')
pg_atm_upc_vcl_table = mib_table((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 3))
if mibBuilder.loadTexts:
pgAtmUpcVclTable.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmUpcVclTable.setDescription('A list of UPC entries for all VCLs.')
pg_atm_upc_vcl_entry = mib_table_row((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 3, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex'), (0, 'ATM-MIB', 'atmVclVpi'), (0, 'ATM-MIB', 'atmVclVci'))
if mibBuilder.loadTexts:
pgAtmUpcVclEntry.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmUpcVclEntry.setDescription('An entry containing UPC information.')
pg_atm_upc_vcl_admin_status = mib_table_column((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 3, 1, 1), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('enable', 1), ('disable', 2)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
pgAtmUpcVclAdminStatus.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmUpcVclAdminStatus.setDescription('The desired UPC state of the VCL.')
pg_atm_vpl_stat_table = mib_table((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 4))
if mibBuilder.loadTexts:
pgAtmVplStatTable.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmVplStatTable.setDescription('This table contains all the statistics counters for each VPL. Use the table to monitor VPL incoming cell and outgoing cell usage.')
pg_atm_vpl_stat_entry = mib_table_row((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 4, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex'), (0, 'ATM-MIB', 'atmVplVpi'))
if mibBuilder.loadTexts:
pgAtmVplStatEntry.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmVplStatEntry.setDescription('Each entry in this table represents a VPL.')
pg_atm_vpl_stat_total_cell_ins = mib_table_column((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 4, 1, 1), counter64()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
pgAtmVplStatTotalCellIns.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmVplStatTotalCellIns.setDescription('The total number of valid ATM cells received by this VPL including both CLP=0 and CLP=1 cells. The cells are counted prior to the application of the traffic policing.')
pg_atm_vpl_stat_clp0_cell_ins = mib_table_column((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 4, 1, 2), counter64()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
pgAtmVplStatClp0CellIns.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmVplStatClp0CellIns.setDescription('The number of valid ATM cells received by this VPL with CLP=0. The cells are counted prior to the application of the traffic policing.')
pg_atm_vpl_stat_total_discards = mib_table_column((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 4, 1, 3), counter64()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
pgAtmVplStatTotalDiscards.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmVplStatTotalDiscards.setDescription('The total number of valid ATM cells discarded by the traffic policing entity. This includes cells originally received with CLP=0 and CLP=1.')
pg_atm_vpl_stat_clp0_discards = mib_table_column((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 4, 1, 4), counter64()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
pgAtmVplStatClp0Discards.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmVplStatClp0Discards.setDescription('The total number of valid ATM cells received with CLP=0 and discarded by the traffic policing entity.')
pg_atm_vpl_stat_total_cell_outs = mib_table_column((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 4, 1, 5), counter64()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
pgAtmVplStatTotalCellOuts.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmVplStatTotalCellOuts.setDescription('The total number of valid ATM cells transmitted by this VPL. This includes both CLP=0 and CLP=1 cells.')
pg_atm_vpl_stat_clp0_cell_outs = mib_table_column((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 4, 1, 6), counter64()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
pgAtmVplStatClp0CellOuts.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmVplStatClp0CellOuts.setDescription('The total number of valid ATM cells transmitted with CLP=0 by this VPL.')
pg_atm_vpl_stat_tagged_outs = mib_table_column((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 4, 1, 7), counter64()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
pgAtmVplStatTaggedOuts.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmVplStatTaggedOuts.setDescription('The total number of valid ATM cells tagged by the traffic policing entity from CLP=0 to CLP=1 and transmitted by this VPL.')
pg_atm_vpl_stat_total_non_conforming = mib_table_column((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 4, 1, 8), counter64()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
pgAtmVplStatTotalNonConforming.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmVplStatTotalNonConforming.setDescription('For this VPL, the total number of valid ATM cells that violated the traffic service contract.')
pg_atm_vpl_stat_clear_counters = mib_table_column((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 4, 1, 9), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1))).clone(namedValues=named_values(('clear', 1)))).setMaxAccess('writeonly')
if mibBuilder.loadTexts:
pgAtmVplStatClearCounters.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmVplStatClearCounters.setDescription('For this VPL, clear the statistics counters to zero.')
pg_atm_vpl_stat_all_clear_counters = mib_scalar((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 5), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1))).clone(namedValues=named_values(('clear', 1)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
pgAtmVplStatAllClearCounters.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmVplStatAllClearCounters.setDescription('For all VPLs, clear the statistics counters to zero.')
pg_atm_vcl_stat_table = mib_table((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 6))
if mibBuilder.loadTexts:
pgAtmVclStatTable.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmVclStatTable.setDescription('This table contains all the statistics counters for each VCL. Use the table to monitor VCL incoming cell and outgoing cell usage.')
pg_atm_vcl_stat_entry = mib_table_row((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 6, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex'), (0, 'ATM-MIB', 'atmVclVpi'), (0, 'ATM-MIB', 'atmVclVci'))
if mibBuilder.loadTexts:
pgAtmVclStatEntry.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmVclStatEntry.setDescription('Each entry in this table represents a VCL.')
pg_atm_vcl_stat_total_cell_ins = mib_table_column((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 6, 1, 1), counter64()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
pgAtmVclStatTotalCellIns.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmVclStatTotalCellIns.setDescription('The total number of valid ATM cells received by this VCL including both CLP=0 and CLP=1 cells. The cells are counted prior to the application of the traffic policing.')
pg_atm_vcl_stat_clp0_cell_ins = mib_table_column((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 6, 1, 2), counter64()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
pgAtmVclStatClp0CellIns.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmVclStatClp0CellIns.setDescription('The number of valid ATM cells received by this VCL with CLP=0. The cells are counted prior to the application of the traffic policing.')
pg_atm_vcl_stat_total_discards = mib_table_column((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 6, 1, 3), counter64()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
pgAtmVclStatTotalDiscards.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmVclStatTotalDiscards.setDescription('The total number of valid ATM cells discarded by the traffic policing entity. This includes cells originally received with CLP=0 and CLP=1.')
pg_atm_vcl_stat_clp0_discards = mib_table_column((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 6, 1, 4), counter64()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
pgAtmVclStatClp0Discards.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmVclStatClp0Discards.setDescription('The total number of valid ATM cells received with CLP=0 and discarded by the traffic policing entity.')
pg_atm_vcl_stat_total_cell_outs = mib_table_column((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 6, 1, 5), counter64()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
pgAtmVclStatTotalCellOuts.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmVclStatTotalCellOuts.setDescription('The total number of valid ATM cells transmitted by this VCL. This includes both CLP=0 and CLP=1 cells.')
pg_atm_vcl_stat_clp0_cell_outs = mib_table_column((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 6, 1, 6), counter64()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
pgAtmVclStatClp0CellOuts.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmVclStatClp0CellOuts.setDescription('The total number of valid ATM cells transmitted with CLP=0 by this VCL.')
pg_atm_vcl_stat_tagged_outs = mib_table_column((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 6, 1, 7), counter64()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
pgAtmVclStatTaggedOuts.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmVclStatTaggedOuts.setDescription('The total number of valid ATM cells tagged by the traffic policing entity from CLP=0 to CLP=1 and transmitted by this VCL.')
pg_atm_vcl_stat_total_non_conforming = mib_table_column((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 6, 1, 8), counter64()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
pgAtmVclStatTotalNonConforming.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmVclStatTotalNonConforming.setDescription('For this VCL, the total number of valid ATM cells that violated the traffic service contract.')
pg_atm_vcl_stat_clear_counters = mib_table_column((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 6, 1, 9), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1))).clone(namedValues=named_values(('clear', 1)))).setMaxAccess('writeonly')
if mibBuilder.loadTexts:
pgAtmVclStatClearCounters.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmVclStatClearCounters.setDescription('For this VCL, clear statistics counters to zero.')
pg_atm_vcl_stat_all_clear_counters = mib_scalar((1, 3, 6, 1, 4, 1, 927, 1, 9, 11, 1, 7), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1))).clone(namedValues=named_values(('clear', 1)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
pgAtmVclStatAllClearCounters.setStatus('mandatory')
if mibBuilder.loadTexts:
pgAtmVclStatAllClearCounters.setDescription('For all VCLs, clear statistics counters to zero.')
mibBuilder.exportSymbols('DSLAM-UPC-MIB', pgAtmUpcVplAdminStatus=pgAtmUpcVplAdminStatus, pgUpcObjects=pgUpcObjects, pgAtmVclStatTotalNonConforming=pgAtmVclStatTotalNonConforming, pgAtmVplStatAllClearCounters=pgAtmVplStatAllClearCounters, pgAtmUpcPortTable=pgAtmUpcPortTable, pgAtmVplStatTotalDiscards=pgAtmVplStatTotalDiscards, pgAtmUpcPortAdminStatus=pgAtmUpcPortAdminStatus, pgAtmUpcVclAdminStatus=pgAtmUpcVclAdminStatus, pgAtmUpcPortEntry=pgAtmUpcPortEntry, pgAtmVplStatTotalCellOuts=pgAtmVplStatTotalCellOuts, pgAtmVplStatClp0Discards=pgAtmVplStatClp0Discards, pgAtmVclStatEntry=pgAtmVclStatEntry, pgAtmVplStatClearCounters=pgAtmVplStatClearCounters, pgAtmVplStatTaggedOuts=pgAtmVplStatTaggedOuts, pgAtmVclStatTotalCellOuts=pgAtmVclStatTotalCellOuts, pgAtmVplStatTable=pgAtmVplStatTable, pgAtmVclStatClearCounters=pgAtmVclStatClearCounters, PYSNMP_MODULE_ID=pgUpcMIB, pgAtmVclStatClp0Discards=pgAtmVclStatClp0Discards, pgAtmUpcVplEntry=pgAtmUpcVplEntry, pgAtmVplStatClp0CellOuts=pgAtmVplStatClp0CellOuts, pgAtmVclStatTotalCellIns=pgAtmVclStatTotalCellIns, pgAtmVplStatTotalCellIns=pgAtmVplStatTotalCellIns, pgAtmUpcVplTable=pgAtmUpcVplTable, pgAtmVclStatTable=pgAtmVclStatTable, pgAtmVclStatClp0CellOuts=pgAtmVclStatClp0CellOuts, pgAtmVplStatClp0CellIns=pgAtmVplStatClp0CellIns, pgAtmVclStatAllClearCounters=pgAtmVclStatAllClearCounters, pgAtmVclStatTaggedOuts=pgAtmVclStatTaggedOuts, pgUpcMIB=pgUpcMIB, pgAtmVplStatEntry=pgAtmVplStatEntry, pgAtmVclStatClp0CellIns=pgAtmVclStatClp0CellIns, pgAtmUpcVclEntry=pgAtmUpcVclEntry, pgAtmVplStatTotalNonConforming=pgAtmVplStatTotalNonConforming, pgAtmVclStatTotalDiscards=pgAtmVclStatTotalDiscards, pgAtmUpcVclTable=pgAtmUpcVclTable) |
# Copyright 2015-2016 NEC Corporation. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
class NwaException(Exception):
'''Raised when there is an error in Nwa. '''
def __init__(self, http_status, errmsg, orgexc=None):
super(NwaException, self).__init__()
self.http_status = http_status
self.errmsg = errmsg
self.orgexc = orgexc
def __str__(self):
return 'http status: %s, %s' % (self.http_status, self.errmsg)
| class Nwaexception(Exception):
"""Raised when there is an error in Nwa. """
def __init__(self, http_status, errmsg, orgexc=None):
super(NwaException, self).__init__()
self.http_status = http_status
self.errmsg = errmsg
self.orgexc = orgexc
def __str__(self):
return 'http status: %s, %s' % (self.http_status, self.errmsg) |
m=input("enter the string:\t")
if m.isdigit():
print("the given string is numeric")
else:
print("the given string is not numeric")
| m = input('enter the string:\t')
if m.isdigit():
print('the given string is numeric')
else:
print('the given string is not numeric') |
class Solution:
def isScramble(self, s1, s2):
l1, l2 = len(s1), len(s2)
if l1 != l2:
return False
dp = [[[False] * (l1 + 1) for _ in range(l1)] for _ in range(l1)]
for l in range(1, l1 + 1):
for i in range(l1 - l + 1):
for j in range(l1 - l + 1):
if l == 1:
dp[i][j][l] = s1[i] == s2[j]
else:
k = 1
while k < l and not dp[i][j][l]:
dp[i][j][l] = (dp[i][j][k] and dp[i + k][j + k][l - k]) or (
dp[i][j + l - k][k] and dp[i + k][j][l - k]
)
k += 1
return dp[0][0][l1]
| class Solution:
def is_scramble(self, s1, s2):
(l1, l2) = (len(s1), len(s2))
if l1 != l2:
return False
dp = [[[False] * (l1 + 1) for _ in range(l1)] for _ in range(l1)]
for l in range(1, l1 + 1):
for i in range(l1 - l + 1):
for j in range(l1 - l + 1):
if l == 1:
dp[i][j][l] = s1[i] == s2[j]
else:
k = 1
while k < l and (not dp[i][j][l]):
dp[i][j][l] = dp[i][j][k] and dp[i + k][j + k][l - k] or (dp[i][j + l - k][k] and dp[i + k][j][l - k])
k += 1
return dp[0][0][l1] |
#!/usr/local/bin/python3
ORDERS = {
'N': lambda s, w, a: (s, (w[0] + a, w[1])),
'S': lambda s, w, a: (s, (w[0] - a, w[1])),
'E': lambda s, w, a: (s, (w[0], w[1] + a)),
'W': lambda s, w, a: (s, (w[0], w[1] - a)),
'F': lambda s, w, a: ((s[0] + a * w[0], s[1] + a * w[1]), w),
'L': lambda s, w, a: (s, rotate(w, -a)),
'R': lambda s, w, a: (s, rotate(w, a))
}
def parse_orders(lines):
for line in lines:
yield line[0], int(line[1:])
def rotate(waypoint, degree):
for _ in range((degree % 360) // 90):
waypoint = -waypoint[1], waypoint[0]
return waypoint
def sail(orders):
ship = (0, 0)
waypoint = (1, 10)
for order in orders:
ship, waypoint = ORDERS[order[0]](ship, waypoint, order[1])
return abs(ship[0]) + abs(ship[1])
if __name__ == '__main__':
with open('input.txt') as f:
print(sail(parse_orders(f)))
| orders = {'N': lambda s, w, a: (s, (w[0] + a, w[1])), 'S': lambda s, w, a: (s, (w[0] - a, w[1])), 'E': lambda s, w, a: (s, (w[0], w[1] + a)), 'W': lambda s, w, a: (s, (w[0], w[1] - a)), 'F': lambda s, w, a: ((s[0] + a * w[0], s[1] + a * w[1]), w), 'L': lambda s, w, a: (s, rotate(w, -a)), 'R': lambda s, w, a: (s, rotate(w, a))}
def parse_orders(lines):
for line in lines:
yield (line[0], int(line[1:]))
def rotate(waypoint, degree):
for _ in range(degree % 360 // 90):
waypoint = (-waypoint[1], waypoint[0])
return waypoint
def sail(orders):
ship = (0, 0)
waypoint = (1, 10)
for order in orders:
(ship, waypoint) = ORDERS[order[0]](ship, waypoint, order[1])
return abs(ship[0]) + abs(ship[1])
if __name__ == '__main__':
with open('input.txt') as f:
print(sail(parse_orders(f))) |
class Environment:
def evaluate(self, phenotype):
assert False, "'evaluate' must be implemented"
if __name__ == '__main__':
# a test for evaluate
flag = False
try:
Environment().evaluate('phenotype')
except AssertionError:
flag = True
assert flag, "NG in 'environment.py'"
| class Environment:
def evaluate(self, phenotype):
assert False, "'evaluate' must be implemented"
if __name__ == '__main__':
flag = False
try:
environment().evaluate('phenotype')
except AssertionError:
flag = True
assert flag, "NG in 'environment.py'" |
class Tires:
def __init__(self, size: int):
self.size = size
self.pressure = 0
def get_pressure(self) -> int:
return self.pressure
def pump(self, psi: int):
self.pressure = psi
class Engine:
def __init__(self, fuel_type: str):
self.fuel_type = fuel_type
self.state = 'off'
def start(self):
self.state = 'on'
def stop(self):
self.state = 'off'
def get_state(self) -> str:
return self.state
class Car:
def __init__(self, vin: str, engine: Engine, tires: Tires):
self.VIN = vin
self.engine = engine
self.tires = tires
if __name__ == "__main__":
city_tires = Tires(15)
off_road_tires = Tires(18)
electric_engine = Engine('electric')
petrol_engine = Engine('electric')
city_car = Car('111A', electric_engine, city_tires)
all_terrain_car = Car('888S', petrol_engine, off_road_tires)
# prepare all_terrain_car for a rally
print('All-terrain car engine is', all_terrain_car.engine.get_state())
all_terrain_car.tires.pump(10)
all_terrain_car.engine.start()
print('All-terrain car engine is', all_terrain_car.engine.get_state())
# prepare city car for a shopping
print('City car engine is', city_car.engine.get_state())
city_car.tires.pump(3)
city_car.engine.start()
print('City car engine is', city_car.engine.get_state())
city_car.engine.stop()
print('City car engine is', city_car.engine.get_state())
| class Tires:
def __init__(self, size: int):
self.size = size
self.pressure = 0
def get_pressure(self) -> int:
return self.pressure
def pump(self, psi: int):
self.pressure = psi
class Engine:
def __init__(self, fuel_type: str):
self.fuel_type = fuel_type
self.state = 'off'
def start(self):
self.state = 'on'
def stop(self):
self.state = 'off'
def get_state(self) -> str:
return self.state
class Car:
def __init__(self, vin: str, engine: Engine, tires: Tires):
self.VIN = vin
self.engine = engine
self.tires = tires
if __name__ == '__main__':
city_tires = tires(15)
off_road_tires = tires(18)
electric_engine = engine('electric')
petrol_engine = engine('electric')
city_car = car('111A', electric_engine, city_tires)
all_terrain_car = car('888S', petrol_engine, off_road_tires)
print('All-terrain car engine is', all_terrain_car.engine.get_state())
all_terrain_car.tires.pump(10)
all_terrain_car.engine.start()
print('All-terrain car engine is', all_terrain_car.engine.get_state())
print('City car engine is', city_car.engine.get_state())
city_car.tires.pump(3)
city_car.engine.start()
print('City car engine is', city_car.engine.get_state())
city_car.engine.stop()
print('City car engine is', city_car.engine.get_state()) |
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