content
stringlengths 7
1.05M
| fixed_cases
stringlengths 1
1.28M
|
|---|---|
first_name = "Bob"
last_name = "Daily"
#first_name[0] = "R"
fixed_first_name = "R" + first_name[-2:]
print(fixed_first_name)
| first_name = 'Bob'
last_name = 'Daily'
fixed_first_name = 'R' + first_name[-2:]
print(fixed_first_name) |
del_items(0x80127F74)
SetType(0x80127F74, "struct Creds CreditsTitle[6]")
del_items(0x8012811C)
SetType(0x8012811C, "struct Creds CreditsSubTitle[28]")
del_items(0x801285B8)
SetType(0x801285B8, "struct Creds CreditsText[35]")
del_items(0x801286D0)
SetType(0x801286D0, "int CreditsTable[224]")
del_items(0x80129900)
SetType(0x80129900, "struct DIRENTRY card_dir[16][2]")
del_items(0x80129E00)
SetType(0x80129E00, "struct file_header card_header[16][2]")
del_items(0x80129824)
SetType(0x80129824, "struct sjis sjis_table[37]")
del_items(0x8012ECEC)
SetType(0x8012ECEC, "unsigned char save_buffer[106496]")
del_items(0x8012EC68)
SetType(0x8012EC68, "struct FeTable McLoadGameMenu")
del_items(0x8012EC48)
SetType(0x8012EC48, "char *CharFileList[5]")
del_items(0x8012EC5C)
SetType(0x8012EC5C, "char *Classes[3]")
del_items(0x8012EC84)
SetType(0x8012EC84, "struct FeTable McLoadCharMenu")
del_items(0x8012ECA0)
SetType(0x8012ECA0, "struct FeTable McLoadCard1Menu")
del_items(0x8012ECBC)
SetType(0x8012ECBC, "struct FeTable McLoadCard2Menu")
| del_items(2148695924)
set_type(2148695924, 'struct Creds CreditsTitle[6]')
del_items(2148696348)
set_type(2148696348, 'struct Creds CreditsSubTitle[28]')
del_items(2148697528)
set_type(2148697528, 'struct Creds CreditsText[35]')
del_items(2148697808)
set_type(2148697808, 'int CreditsTable[224]')
del_items(2148702464)
set_type(2148702464, 'struct DIRENTRY card_dir[16][2]')
del_items(2148703744)
set_type(2148703744, 'struct file_header card_header[16][2]')
del_items(2148702244)
set_type(2148702244, 'struct sjis sjis_table[37]')
del_items(2148723948)
set_type(2148723948, 'unsigned char save_buffer[106496]')
del_items(2148723816)
set_type(2148723816, 'struct FeTable McLoadGameMenu')
del_items(2148723784)
set_type(2148723784, 'char *CharFileList[5]')
del_items(2148723804)
set_type(2148723804, 'char *Classes[3]')
del_items(2148723844)
set_type(2148723844, 'struct FeTable McLoadCharMenu')
del_items(2148723872)
set_type(2148723872, 'struct FeTable McLoadCard1Menu')
del_items(2148723900)
set_type(2148723900, 'struct FeTable McLoadCard2Menu') |
# MIT OC - CS600 - Introduction to Computer Science and Programming
# Problem Set 1: 3 Simple Problems - Problem 2 Pay off debt in 1 year
# Name: Luke Young
# Collaborators: None
# Time Spent: 01:00 (hr:min)
# 2018 04 22 20:27
# Program: Finding the minimum payment required to pay off the debt
#
# Write a program that does the following:
# Use raw_input() to ask for the following three floating point numbers:
# 1. the outstanding balance on the credit card
# 2. annual interest rate
#
#
# Print out the fixed minimum monthly payment, number of months
##(at most 12 and possibly less than 12) it takes to pay off the debt,
##and the balance (likely to be a negative number).
##Assume that the interest is compounded monthly according to the balance
##at the start of the month (before the payment for that month is made).
##The monthly payment must be a multiple of $10 and is the same for all months.
##Notice that it is possible for the balance to become negative
##using this payment scheme. In short:
##Monthly interest rate = Annual interest rate / 12.0
##Updated balance each month = Previous balance * (1 + Monthly interest rate)
## - Minimum monthly payment .
balance = 0.0
apr = 0.0
balance = float(raw_input("What is your current Balance? "))
apr = float(raw_input("What is the annual interest rate as a decimal? "))
minPay = 0.0
principle = 0.0
endBalance = 0.0
paid = False
# main algorithm
while paid == False:
tempBalance = balance
minPay += 10
month = 1
for month in range(1, 13): #runs 12 times
principle = round((minPay - (apr / 12 * tempBalance)), 2)
tempBalance = round((tempBalance - principle), 2)
if tempBalance < 0:
endBalance = tempBalance
paid = True
break
# end for loop
# print("Ending balance was: " + str(tempBalance))
# end while loop
# print results
print("RESULT")
print("Monthly payment to pay off debt in 1 year: " + str(minPay))
print("Number of months needed: " + str(month))
print("Balance " + str(endBalance))
| balance = 0.0
apr = 0.0
balance = float(raw_input('What is your current Balance? '))
apr = float(raw_input('What is the annual interest rate as a decimal? '))
min_pay = 0.0
principle = 0.0
end_balance = 0.0
paid = False
while paid == False:
temp_balance = balance
min_pay += 10
month = 1
for month in range(1, 13):
principle = round(minPay - apr / 12 * tempBalance, 2)
temp_balance = round(tempBalance - principle, 2)
if tempBalance < 0:
end_balance = tempBalance
paid = True
break
print('RESULT')
print('Monthly payment to pay off debt in 1 year: ' + str(minPay))
print('Number of months needed: ' + str(month))
print('Balance ' + str(endBalance)) |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
def get_func(tag):
def func(s):
group = tag, s
return group
return func
| def get_func(tag):
def func(s):
group = (tag, s)
return group
return func |
# container-service-extension
# Copyright (c) 2019 VMware, Inc. All Rights Reserved.
# SPDX-License-Identifier: BSD-2-Clause
# End point of Vmware Analytics staging server
# TODO() : This URL should reflect production server during release
VAC_URL = "https://vcsa.vmware.com/ph-stg/api/hyper/send/"
# Value of collector id that is required as part of HTTP request
# to post sample data to analytics server
COLLECTOR_ID = "CSE.2_6"
| vac_url = 'https://vcsa.vmware.com/ph-stg/api/hyper/send/'
collector_id = 'CSE.2_6' |
quit = False
flag = False
while not quit :
num = int(input(""))
if num == 42:
quit = True;
else:
print(num)
| quit = False
flag = False
while not quit:
num = int(input(''))
if num == 42:
quit = True
else:
print(num) |
# -*- coding: utf-8 -*-
'''
File name: code\47smooth_triangular_numbers\sol_581.py
Author: Vaidic Joshi
Date created: Oct 20, 2018
Python Version: 3.x
'''
# Solution to Project Euler Problem #581 :: 47-smooth triangular numbers
#
# For more information see:
# https://projecteuler.net/problem=581
# Problem Statement
'''
A number is p-smooth if it has no prime factors larger than p.
Let T be the sequence of triangular numbers, ie T(n)=n(n+1)/2.
Find the sum of all indices n such that T(n) is 47-smooth.
'''
# Solution
# Solution Approach
'''
'''
| """
File name: code'smooth_triangular_numbers\\sol_581.py
Author: Vaidic Joshi
Date created: Oct 20, 2018
Python Version: 3.x
"""
'\nA number is p-smooth if it has no prime factors larger than p.\nLet T be the sequence of triangular numbers, ie T(n)=n(n+1)/2.\nFind the sum of all indices n such that T(n) is 47-smooth.\n'
'\n' |
# throws KeyError
students = {'John': 18, 'Jack': 19}
print(students['Joe'])
# try/catch KeyError
students = {'John': 18, 'Jack': 19}
try:
print(students['Joe'])
except KeyError:
print('you tried to access an entry that does not exists')
| students = {'John': 18, 'Jack': 19}
print(students['Joe'])
students = {'John': 18, 'Jack': 19}
try:
print(students['Joe'])
except KeyError:
print('you tried to access an entry that does not exists') |
_base_ = '../_base_/default_runtime.py'
# dataset settings
dataset_type = 'CocoPanopticDataset'
data_root = 'data/coco/'
img_norm_cfg = dict(
mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
# file_client_args = dict(backend='disk',)
# file_client_args = dict(
# backend='petrel',
# path_mapping=dict({
# './data/': 's3://openmmlab/datasets/detection/',
# 'data/': 's3://openmmlab/datasets/detection/'
# }))
file_client_args = dict(
backend='memcached',
server_list_cfg='/mnt/lustre/share/memcached_client/server_list.conf',
client_cfg='/mnt/lustre/share/memcached_client/client.conf',
sys_path='/mnt/lustre/share/pymc/py3',
)
# In mstrain 3x config, img_scale=[(1333, 640), (1333, 800)],
# multiscale_mode='range'
train_pipeline = [
dict(type='LoadImageFromFile', file_client_args=file_client_args),
dict(
type='LoadPanopticAnnotations',
with_bbox=True,
with_mask=True,
with_seg=True,
file_client_args=file_client_args),
dict(
type='Resize',
img_scale=[(1333, 640), (1333, 800)],
multiscale_mode='range',
keep_ratio=True),
dict(type='RandomFlip', flip_ratio=0.5),
dict(type='Normalize', **img_norm_cfg),
dict(type='Pad', size_divisor=32),
dict(type='DefaultFormatBundle'),
dict(
type='Collect',
keys=['img', 'gt_bboxes', 'gt_labels', 'gt_masks', 'gt_semantic_seg']),
]
test_pipeline = [
dict(type='LoadImageFromFile', file_client_args=file_client_args),
dict(
type='MultiScaleFlipAug',
img_scale=(1333, 800),
flip=False,
transforms=[
dict(type='Resize', keep_ratio=True),
dict(type='RandomFlip'),
dict(type='Normalize', **img_norm_cfg),
dict(type='Pad', size_divisor=32),
dict(type='ImageToTensor', keys=['img']),
dict(type='Collect', keys=['img']),
])
]
# Use RepeatDataset to speed up training
data = dict(
samples_per_gpu=2,
workers_per_gpu=2,
train=dict(
type='RepeatDataset',
times=3,
dataset=dict(
type=dataset_type,
ann_file=data_root + 'annotations/panoptic_train2017.json',
img_prefix=data_root + 'train2017/',
seg_prefix=data_root + 'annotations/panoptic_train2017/',
pipeline=train_pipeline)),
val=dict(
type=dataset_type,
ann_file=data_root + 'annotations/panoptic_val2017.json',
img_prefix=data_root + 'val2017/',
seg_prefix=data_root + 'annotations/panoptic_val2017/',
pipeline=test_pipeline),
test=dict(
type=dataset_type,
ann_file=data_root + 'annotations/panoptic_val2017.json',
img_prefix=data_root + 'val2017/',
seg_prefix=data_root + 'annotations/panoptic_val2017/',
pipeline=test_pipeline))
evaluation = dict(interval=1, metric=['pq'])
# optimizer
# this is different from the original 1x schedule that use SGD
optimizer = dict(
type='AdamW',
lr=0.0001,
weight_decay=0.05,
paramwise_cfg=dict(custom_keys={'backbone': dict(lr_mult=0.25)}))
optimizer_config = dict(grad_clip=dict(max_norm=1, norm_type=2))
# learning policy
# Experiments show that using step=[9, 11] has higher performance
lr_config = dict(
policy='step',
warmup='linear',
warmup_iters=1000,
warmup_ratio=0.001,
step=[9, 11])
runner = dict(type='EpochBasedRunner', max_epochs=12)
| _base_ = '../_base_/default_runtime.py'
dataset_type = 'CocoPanopticDataset'
data_root = 'data/coco/'
img_norm_cfg = dict(mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
file_client_args = dict(backend='memcached', server_list_cfg='/mnt/lustre/share/memcached_client/server_list.conf', client_cfg='/mnt/lustre/share/memcached_client/client.conf', sys_path='/mnt/lustre/share/pymc/py3')
train_pipeline = [dict(type='LoadImageFromFile', file_client_args=file_client_args), dict(type='LoadPanopticAnnotations', with_bbox=True, with_mask=True, with_seg=True, file_client_args=file_client_args), dict(type='Resize', img_scale=[(1333, 640), (1333, 800)], multiscale_mode='range', keep_ratio=True), dict(type='RandomFlip', flip_ratio=0.5), dict(type='Normalize', **img_norm_cfg), dict(type='Pad', size_divisor=32), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels', 'gt_masks', 'gt_semantic_seg'])]
test_pipeline = [dict(type='LoadImageFromFile', file_client_args=file_client_args), dict(type='MultiScaleFlipAug', img_scale=(1333, 800), flip=False, transforms=[dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict(type='Normalize', **img_norm_cfg), dict(type='Pad', size_divisor=32), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img'])])]
data = dict(samples_per_gpu=2, workers_per_gpu=2, train=dict(type='RepeatDataset', times=3, dataset=dict(type=dataset_type, ann_file=data_root + 'annotations/panoptic_train2017.json', img_prefix=data_root + 'train2017/', seg_prefix=data_root + 'annotations/panoptic_train2017/', pipeline=train_pipeline)), val=dict(type=dataset_type, ann_file=data_root + 'annotations/panoptic_val2017.json', img_prefix=data_root + 'val2017/', seg_prefix=data_root + 'annotations/panoptic_val2017/', pipeline=test_pipeline), test=dict(type=dataset_type, ann_file=data_root + 'annotations/panoptic_val2017.json', img_prefix=data_root + 'val2017/', seg_prefix=data_root + 'annotations/panoptic_val2017/', pipeline=test_pipeline))
evaluation = dict(interval=1, metric=['pq'])
optimizer = dict(type='AdamW', lr=0.0001, weight_decay=0.05, paramwise_cfg=dict(custom_keys={'backbone': dict(lr_mult=0.25)}))
optimizer_config = dict(grad_clip=dict(max_norm=1, norm_type=2))
lr_config = dict(policy='step', warmup='linear', warmup_iters=1000, warmup_ratio=0.001, step=[9, 11])
runner = dict(type='EpochBasedRunner', max_epochs=12) |
STATUS_MAPPER = [
"Success",
"Unknown HCI Command",
"Unknown Connection Identifier",
"Hardware Failure",
"Page Timeout",
"Authentication Failure",
"PIN or Key Missing",
"Memory Capacity Exceeded",
"Connection Timeout",
"Connection Limit Exceeded",
"Synchronous Connection Limit to a Device Exceeded",
"ACL Connection Already Exists",
"Command Disallowed",
"Connection Rejected due to Limited Resources",
"Connection Rejected due to Security Reasons",
"Connection Rejected due to Unacceptable BD_ADDR",
"Connection Accept Timeout Exceeded",
"Unsupported Feature or Parameter Value",
"Invalid HCI Command Parameters",
"Remote User Terminated Connection",
"Remote Device Terminated due to Low Resources",
"Remote Device Terminated due to Power Off",
"Connection Terminated By Local Host",
"Repeated Attempts",
"Pairing Not Allowed",
"Unknown LMP PDU",
"Unsupported Remote Feature / Unsupported LMP Feature",
"SCO Offset Rejected",
"SCO Interval Rejected",
"SCO Air Mode Rejected",
"Invalid LMP Parameters / Invalid LL Parameters",
"Unspecified Error",
"Unsupported LMP Parameter Value / Unsupported LL Parameter Value",
"Role Change Not Allowed",
"LMP Response Timeout / LL Response Timeout",
"LMP Error Transaction Collision",
"LMP PDU Not Allowed",
"Encryption Mode Not Acceptable",
"Link Key cannot be Changed",
"Requested QoS Not Supported",
"Instant Passed",
"Pairing With Unit Key Not Supported",
"Different Transaction Collision",
"Reserved",
"QoS Unacceptable Parameter",
"QoS Rejected",
"Channel Classification Not Supported",
"Insufficient Security",
"Parameter Out Of Manadatory Range",
"Reserved",
"Role Switch Pending",
"Reserved",
"Reserved Slot Violation",
"Role Switch Failed",
"Extended Inquiry Response Too Large",
"Secure Simple Pairing Not Supported By Host",
"Host Busy - Pairing",
"Connection Rejected due to No Suitable Channel Found",
"Controller Busy",
"Unacceptable Connection Parameters" ,
"Directed Advertising Timeout",
"Connection Terminated due to MIC Failure",
"Connection Failed to be Established",
"MAC Connection Failed",
"Coarse Clock Adjustment Rejected but Will Try to Adjust Using Clock Dragging"
] | status_mapper = ['Success', 'Unknown HCI Command', 'Unknown Connection Identifier', 'Hardware Failure', 'Page Timeout', 'Authentication Failure', 'PIN or Key Missing', 'Memory Capacity Exceeded', 'Connection Timeout', 'Connection Limit Exceeded', 'Synchronous Connection Limit to a Device Exceeded', 'ACL Connection Already Exists', 'Command Disallowed', 'Connection Rejected due to Limited Resources', 'Connection Rejected due to Security Reasons', 'Connection Rejected due to Unacceptable BD_ADDR', 'Connection Accept Timeout Exceeded', 'Unsupported Feature or Parameter Value', 'Invalid HCI Command Parameters', 'Remote User Terminated Connection', 'Remote Device Terminated due to Low Resources', 'Remote Device Terminated due to Power Off', 'Connection Terminated By Local Host', 'Repeated Attempts', 'Pairing Not Allowed', 'Unknown LMP PDU', 'Unsupported Remote Feature / Unsupported LMP Feature', 'SCO Offset Rejected', 'SCO Interval Rejected', 'SCO Air Mode Rejected', 'Invalid LMP Parameters / Invalid LL Parameters', 'Unspecified Error', 'Unsupported LMP Parameter Value / Unsupported LL Parameter Value', 'Role Change Not Allowed', 'LMP Response Timeout / LL Response Timeout', 'LMP Error Transaction Collision', 'LMP PDU Not Allowed', 'Encryption Mode Not Acceptable', 'Link Key cannot be Changed', 'Requested QoS Not Supported', 'Instant Passed', 'Pairing With Unit Key Not Supported', 'Different Transaction Collision', 'Reserved', 'QoS Unacceptable Parameter', 'QoS Rejected', 'Channel Classification Not Supported', 'Insufficient Security', 'Parameter Out Of Manadatory Range', 'Reserved', 'Role Switch Pending', 'Reserved', 'Reserved Slot Violation', 'Role Switch Failed', 'Extended Inquiry Response Too Large', 'Secure Simple Pairing Not Supported By Host', 'Host Busy - Pairing', 'Connection Rejected due to No Suitable Channel Found', 'Controller Busy', 'Unacceptable Connection Parameters', 'Directed Advertising Timeout', 'Connection Terminated due to MIC Failure', 'Connection Failed to be Established', 'MAC Connection Failed', 'Coarse Clock Adjustment Rejected but Will Try to Adjust Using Clock Dragging'] |
# __init__
__version__ = '1.1.0'
| __version__ = '1.1.0' |
def test_get_public_key(cmd, button, model):
pub_key, address = cmd.get_public_key(
bip32_path="44'/5741565'/0'/0'/1'",
network_byte='V',
display=True,
button=button,
model=model
) # type: bytes, bytes
assert len(pub_key) == 32
assert len(address) == 35
| def test_get_public_key(cmd, button, model):
(pub_key, address) = cmd.get_public_key(bip32_path="44'/5741565'/0'/0'/1'", network_byte='V', display=True, button=button, model=model)
assert len(pub_key) == 32
assert len(address) == 35 |
x = [1,2,3]
name = "/tests/fixtures/data/names/{name_id}.txt"
output = "/tests/fixtures/data/salutations/{name_id}-{x}.txt"
def main():
return "Hello {name} for the {x} time!".format(name=name, x=x)
| x = [1, 2, 3]
name = '/tests/fixtures/data/names/{name_id}.txt'
output = '/tests/fixtures/data/salutations/{name_id}-{x}.txt'
def main():
return 'Hello {name} for the {x} time!'.format(name=name, x=x) |
# Skin info and colours
theme_name = "Future Bloo"
theme_author = "Lucas."
theme_version = "1.0"
theme_bio = "Bloo" # A long bio will get cut off, keep it simple.
window_theme = "Black"
button_colour = "black"
attacks_theme = {"background": "Black", "button_colour": ('black', 'cyan')}
banner_size = (600, 100)
banner_padding = ((75, 15), 0)
# Command Line colours
menu1 = "cyan"
menu2 = "white"
# Button/Banner Images (Base64)
rtb_icon = 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button_leaver = 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'
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116ww630A8eRrJhKnYOzajpTTKfahWOEkITziTePoc2L4F0dSCmDoTMekwrFKRcPY8/AvfSu4bn4N8AzqTpXD1t4njBH/yDJgxl2DGHIITToPchchqleycI8n+8L8gCvGFMAa1rxtbK4R0n9Ohoh0H0dhCVpqCGhH4LyxDa1noOCT9h+tRXXsYeM1bSXJ5dNtSyqeeD7kCojpA+pnHyF71JdxH7yUeLOC55dfw0F1YhQINKY/4zt/hX/R21OELqKXzNN78K7jlOkqWgxg/iWxTEzIK8cMq1ZoPUYBfq+EAWA6seZT4qeVkbIt8GFDevI6wCjy5nOiZx8k2NpKKakTFHkJvOn4YkUkSSKVgxaPoZx5DCkGudRTVzesIasDG1YRrV5Jvbia1fQtx53aSCVOIW8fAuEkGJlmzwuADCxaRTqcQxV5qO7YQn7QEP9+MFScIx4V1z6I3r8dxLPKjxw7xV73YRJD2oVoXq7sT+dj92O1rDRInpbGce3YZ11fF9YDeQtuOscbC7JP60w3GQmzbhAx8ZHkA1dhkYlYpoVrGGiia4ocgRDuuQfoQ2Fs3kv7d1Wg3haiVIE6w+nqQfT2IJEI7HiBw163E6ukCnSCKfQYZFeZjFH17yPz+54gkwtqxFVkrQxSh8w0Iv0bqvj8ilEbu2YWoVk0FmesdEqAl/Rrlsy5EZdKwYA589zdUohCRzqAKFsSgJs3Ar9Tw8g3IygDaEuQfuA3rgWXEUhIrRWS7cMp5qLd/iMpr3kjkeDR97TOIJEYkoGfPR65+AlEt7fuRCAFxgigXzSvLN7xwGEUIhO+DBen21YiffAXfD1CeS6glnH0R+oI3UTvmROLeXpq2bETEEYQhWJIUkM1kSJIY7bi4e3biz1uA3zIGtXE14pzX4B1zEtr1KBcaCecsIJk6FYS7F/AcjP4sCy+Xw+33IPT3oty2gw24nouSEhEGoNhLwigkRCGOFHgp14Bv9mCBi4WdziAtiXakwXGikKShGRpa0GnQl30Y3vQeyrZNVUhTxNSagzYIWseS8lLGgMQxlkpwPW+IBPIlzwMfTAmlCGqIziqi2EfSNgbd2IJOZ4inzkBPn4vO5QCJ3NWBvWMrstgLKkGEPnb7WpLJ0wgXn4xOZbC6d2O1r8Hq3oN2XZKxE4mmzkAdewqyaxfu048galWiWUeg0lnszeux+rpRmQzJxGkEi09Gp1LYWzfirF2JrAwgu3eDZROPn4RqaCaZfjh+Uyt2925E1y60l0aLNMkxJ5lwvVarv4AI4hBteyRt40lObMXesh537dOmIOIgP/j4yOMIjz4B0deH/ukvYGAAZdtmjGwezn0dyYJj8BefTGrbWkof+Cy6uZWGr3+ObOceYgGJNqlWUeoldiTVT1+Jf9xpVAeKuCsfJzjpNFh4PPzuZ1DqRzS1mo8vSZDlIqqxhdI/fBEyOXLXXoVoX/OCQDlZ6qdyyTuID59H5oafk3nkAVNIpyAC0Al6zROUv3Ud4dIz8b//BVTgg20hosjgUo6LqleM6UwOEo3u3EH1lFeRXP5xVFMLulwicT3Us0+gH7gd3v5R9P6TphBIyzYsMcMzCHW6JyklCeLAYY9SSMFehpnhx0pp0p+DY9afk/EcgUfugyceRKUzKJWAX4M9u8AOUSsfI1l65lDNv9QaKa2XTHlfWCXW4E1KAa6HamolGTMelcmjU2lU62i0l8ZZtxIRR6Z8EiBRYGmS0eMJFi1FNY/CXf0kclu7ebmWRI0aQzR3IdGs+di7t2NvXodVrZC0jUcVGrG2bgS/is43kEw4jOD401Eto3CffgS7YzOUiyaebWgimjkPnc6aKqIJU+HRe3F6u0jGTUKn0sSTDkM1NCNrVewt67G2bIB0lmT8FJJRY4inzUU99RDOlg1mVv+LiI9x0/1XvR4amhDX/RjxxU8iw2CvBfRSaC9FfMX7CN/8HpIv/wPh8WcQnr0Ye80zpB69B7fYZ3AEraFaotqxiWrFB79GZaBM0323U3nNW0mOOIrw2FNxHr4Dx6+ZD8v1SEZPJDjhdMof/jjsLGJf9yPSL9CNE9Uq4eKTqV1xEUp6FHZuIxWFEAakpYT+LvwooFoto5wUQeAbwNKyYNpsdGsbFHtN+DTzCKKpM5E7d6A62ql++J9JzliCvGUZ1qMPIC0L66E7UV6K6B0f3VvttY8D+PwuqR6eHjzAN6uHGm2eB94dlokQvV2InVtJasC6lchv/9uQoiggaWlDOymcnl1InaCGpSs1L+0qJi+sFrruqtg7tw2lGmQQmhmtXEJnc8gwMAizGpa7tWxEpYy9fQu62Ie1swOrPIB2XYSQyHIJa+d2tGUZF0pYxm3fswNR6jOK7njGHS4XsbdtRA0UEUENTZ34SwgIfaweY9XVQBGnUsJe9QTOpnWoTA5daMBGE0/UiDjG3rQWZ9WTqJbRxm0PfBAWolapI7sHUUFWxw9qC49D1KqoX30PLwrJtTRj27ZpwK5VCR+5i763vQ81bxG+lyV3w4/pmzGX0hUfJ5k+l+y138fauAZUQjTvGGqXfgjyKeS6Z9GA1b4K99F7qL3mzdQ+8BmcTBb79t8g+rpRhSaCcy5h4G3vhwGwfvldSutW4iTRC1pZQ6VSpB69j/CE0/HPvhjZ1Unh1z+C4la0myKZMIXKx7+AGjcW7r6LpKcHCQilUWe+FrX6KcTPv4s6bBq1i9+JGj0a6/abkEqZ3G8M6s+3Yv/827jpDPHp55N84DNgUW+UeRmq9hwHejqxenajyj7JJVfg7txC8y+/g8rlCV53OaU3vBvV1Ezh/a9DaUXpZawutJ+3WOIvXVSSQK2K3NWBWy6Z2mjHRTU2g+shB0pQLqIyOWSlBNqgiVbHZlO94nrQ34PwK8YFSRLknp24tRpO+yrQphEAIbA6NmFpDYFP0joGnS9gde7AK/WBtCEO61VeErTA6tqNiGITgwsgiU1cW6vgrH/WVPmkM9gbViODKtbODmS5ZJoC4hjSadSap01qrFr5y89DJehMjtol7yQ6bj7yrocRO7aScmxcx92rPFLiblpH+uF7qL36FPw3vIum319N9odfoXzyuVQvvJT4hJMRPb0gFDrbSNI6GnnXMtRVXzJE+1FI9prvEQtJdNQSyu/5FMElb0OUK+hCAdU2yUx2P/sWyXU/JlV3H1VTK4wBvLR51baDammD5gZTf30AhdHpDN79t+G1jqH6qtdTfe3bSE49C1EcMO87myNpHo18/FHUj7+KHCgiUmkITA128LrL6Hn1BehMC2rMROzHHib+7yvxtMJ94A4qs+agL/sQ8clnmkKfXAHbtgn7B9Cz5sG4ieClUKNS0DzK5OmVgsSU6TIayDfs/XYF5vsbUwfgvDSqzYGmFuMVJAoQxpUfDRQa9x6bJObY0S660IR37x9xfvp1Bt74HqIPfo7i+a9H2x5q8nQsaaN/8lVq2zYj5x8LbZ65Pts+4HP8q5ZSPqd0wbb/xbbtvasy1K2FUuovz9paIwIfq78X2dNlcq6WDY5pZlBjJxLOXwyWZcAklaBGjSWZOM2kj5LIHBdFaMtCtY5GjR6HamgGaWH195hyu0oFMlnChScQHb7QxJOWRTJ+iskJC7B6u4z7JqSJfcdOIBk1BqTE2rEVq7fbgBdJgho70bjSDc1YWzcid203L1ZKExJMmIIqGGDL6uuGJP4LpkqDlyI66gSSko+6/ic47WvIpjykZQ+5flpKRBRjFXuJUk1EW9rx7v0j7ub1UC4Rp9JE6RSxkyb2UsTFfsT9y7Buvg75yD1k8nkcz8Pesh56utD9PSTpNHE2Z47RimTzBuTvf4l18zVYW9vJNzRgC0EyeTpxRzf69t+T6t6N09xKks4Qb1yPvu92Ul27sF1vv6/DQXbuQOzegSr1o9BEjY3EVorYsolDH+69Deu2GxHLbiSjFJx4JtHiJegVj6I3riGeNZe4GqAevQ/7D9fA/beTSadI93ahw5ikdRSqtQ2VyaG2tmPfeRNyczu6Zw/iwbtIeS4q00Ly2ANYT9yPF/hmfaC2ccQqjbrndpy1T+NlsmgBatQ44s4S+qbrSWUyiFQr8SP3Yq1YTioKEak0KlcgjlOoe5fhrH0a17YQSpFMnka8swd1/zIy7WvxOrcRaUhsh7ChiQhJ3LEJsex3iG/9K5TLOGMnIJwC8WMPYD1+P6koQNjOX784t75KQ1LXy6G/VCqlPc8bWtjMq6NoUXQIbtdgqiebR008jGj2fJLxU1Cto4mmz8G79zay110FgU9w5mvxz7qIpG0s3oPLyPzq+1hdO1HZPOEJZxAcs5Rk0nRkbxfZq7+Js/YZsBzCo0+gesk70LZN+sar0a1jqF5yhUGTu3aR/dV/Y+3cinZdwqOWEpzyKpLR45Hdu/Huu53UQ3eiLYtkzET8My8gWnAcSds4Mtf/gNSfbkBWBkhGjyNYejbBSWeTjB6P98g9ZK+5ClHsOegHXa1WGRgYIJvNks1m91kobrgEQUB/fz+ZTIZcLgeA7/tUKhWSYQisEALXdfE8j3Q6vc/2MAwJggDf959zTCaTwfM8HMepG39Jb28vYRhSKBTIZrOEYcjAwABhGNLY2Ijrus/78cRxjO/7BEHwnHV6PM/DdV0yfoXqh/+V8sc/i/72f+Fc+Umk5xEEQd07dUilUqTTaQM6JQmVSoVarTb0jBzHwfM84jgmDEOam5sB6O3txXEc8vn80Bpe1WqVUqlEJpMhn88PjTEwMECtVqOpqQkhBP39/di2TUNDw9D7GHz+g+9JCIGUkv7+foIgIJ/Pk8lkiKKISqVCEAT7LDTmeR65XA7HcQiCgGKxiJSSxsbGF4WOefAdRFE0ZGyFEC8gBo5jkyqw6mmiYYig8GtYO7aAX8XetBYtJG7raGT3bpNaSmLsVU+SKfaZQvLd2xHVsqnOimPs9SsRvXtQjS2IKED27AGlEJU+rO2bcR+5G1Gr4qx7Br2tnWy1bNzxWgUxUDTVVBrsbe1w5x8gnTFu/u7t6HqjhSj14T1yL86G1eh0Bqt9jSkkcRxEtYrzzKPInk6T2969HVErH/QkJqKQVBJhZdLYqdRzmPSHEJMoxo0CGjNprHQaoTUiifGSGMuSaEvsbYqQEum6SM/bd7w4xk5ipFa49n7H2DaW6yAH0yVCoGtVckKjcjls10XFEVYYkJOgcllsx3nevD9JghVHpLTClQLlDvtspIXlOEjPQ/pldCaHHoMJUYCsFKRdG4REOg5WKoWQEp0kyCggoxWeYw2lfKRtI9FoCel8Hqk1IvRp8FxEKo206vuGIW4UDj3DoWU4A5+MTvAKBdO0EfgUPBfhDXsfUTT0/AffE0Kg/RoZFKlsFtt10UmMFYVk0KRsq05KIRCWhUxnsCwLHUXYoU/Bdcw5XuJ+90OvxCo0kuQKiNA3DeFxvFeB48gUGAwUUa1jSFrbkH09yEq53mCgEZUBZPcutOOZGFcng4XNCL9mOkt833SC1KokY8aTjB4PSuE9fBeivxdRq6BaRiP37DRprTBEqGSfiUT2dUPVgyBE+pUhbFDEEaLUj1QJeClktTxU/il0gqhWsLp3o0v9iGKfKUI5SHReux6Wl8KpLwF5YMRUgOMgXZfMsP20dLFcD3vYMjfD0dX9EVhtWUg7g0yDc4Bjhh+H1mgvhZvO7Pt7OoObzf0FhNe4/ngp7FR6n2V49j+fTmVwVz2Be9W1hI/cC1LiNbfg7ncPepBiyUtjpzL7XP/g78PWwwU7R6quGKoeY2rbxiqY8GCf+61fpzO43XVJDR+rDlTt//zRGu16uKn0vs8jlcbNZIes4PB3opQy7yFXeO45XpEKLITJ1c6ej7VnJ86zTyKiYS2CQpgCjlSaeNocguNPReUb8J54CGvHFkSiSCZOI1x4HKqxBXfNCrzeLqjVQLok46cQT5uNamzG6u1C9naTTJtD7eyLsDevw/7Dr5DlEipXIDlsDv5JZxnAqtRPqthnYnDbRrWOIT58IUlzK7LUj7P6SWRfn2GQyORMc/qUmaimVlIP3lGPwxOU65FMmUE8ez4qm8duX4vV12Xi7IPGGfQ+7uyh7HeolTv7KOnBoMoH+LgO5YP7i9eXzePddxvq5utIohiRyfzFoobnG3P/bQca4386dvh29Tz7HOg9vZBn9HIuvWsfMMd7INRVm2oY1TyKeM6R4LjYq1YY19geFjvpBO2miCcdRjJxmknL6DpZvBAmV9zUgm4cZfolB4nktUEIVTqLGjW2PhGkSFrHokaPRe/Zafa36m2Jtm0aKcLQlGICUmm0UmjXRuULqEKTGdv2jKXXtrmGTB7V2IpqaTPN9XovOZ92HFRjM8mYiaZJ/f8ck8j/tmNG46bTNKYFwnXRL1c66O9V9vN+notCW9bzo9B1sjoRhcj+XlPyGIXGAbasvf6/ZaNdF9nXjbP+WZw1K5C9XSbWq8ehdscm7E1rTZzp10xaSkpEpYws9mDt6sDa1WH4okr92JvXI/fsNFxQAhM3JwlWxyZTiNGxGVRsFDaOEUEN2dOF1dGO1bHJpJmkhNAHlSD7us2xG1Yh+3qGSPpEFCEqZaydW3A2rkbu3IrQjDBqHqwCC4lwXGzXNevbav2KXxhPC4EIaqZjTVqHdr1aG0aaekebeNH01jxL9T+h0LZt4zjO/4hCq3wjpDNoxzH5NGFADlPPZoHtmJuqVRDlEvbu7UMxC7aDKjSiM3l0KmWaFgLfxJpeCtXcapqmgxpW506TQop8VDpHMnYiuqHJ1FrXaqYDKa7zRDmOiZv7e8w5GprBderXJUxXTn8vIvJJGprA9UzCXlgQhchSv6lkymRR+SYDNKnEvIwwQPb21GP1Q6mCUAfoORZDzA0vKAeo1HN5pwYJDIZT+v6tEgcO3qPY7x60Mqm64SVTUg4jhtj/d7G3f3zwt8HxDjS+StC5gqm4i6JDn6y9NLqO4bxYE70QgiRJiON4CDE/NBS67kJHC48jmToTZ8VyU6Y450iSQhOyXiWVjJuAthycTWuw1q9CPHqvUZAkRntpwsWnEB69lGTiFMOZ1bEJa8tGkjETSKbOBGnhrH2a1I1XY7evRiNI2sYRLDmL+Kjj0Y6DvWUj9toVWLs6UPlGwhPPRhR7SP/hGtSoMdTOewM4DlbHZpK2cehUmvQt12JvWkftordDJm/KMUeNQe7ZSequW7Da1xAvWExw7KnI6gCqsRWtNc6mtaSv/6Gx4AdL2iZEncUxfK4HM8gYeShupdb13uYqqqFp31rewDcWoE6igLTQ2dzfntsqBETREB2PzhWG7kGEAQTBMEYXTJlsOgNJYp5N4NcLNTD0PekseCmEHxgyiTqBgqiWwXHRmeze8StlotMvwF6zAtmx2VQQHux7kdKElKGP/dTDz+E7e8Wh0AZF7sTq2o0u9qGaWtFhYDqRLAfQKMetu8DbTYw8mGpSCbJnD/am1Sa32tCM8GvGrfZrWDu3gVZYm9fVEWpd73aqYu3Zge7YZLiOesz5rd07EOUBZM8e00guzGwsKmVT9dW1C6RlKmzqM6+IYxjoNy8yjqAysJdQII6Q/T3I/h6IY+M1RKGZ2Q9hYhXVCrULLyU+eilks/W63hixezfeQ3fiLr8bHQZ7FVyD9lyTWvOrxgoMbfdQzaNI5hxJ7fTzyf/wvxDdnYbqVUF43EnERyxCVEoGIyj1kfntL1C5DDqTQ9SqJlWXb9jbWRVHdRrbwFybLVHZvFGEKKzjEoBro/KNJkwql8w26vvnCibkGCgZlpVEGa8Ghq5fZ7PmfQ30I4I6N5bATELDix2EQJT6SabOpHLeG7F3biV987WoVBrimHjeYoKlZ5FMnoawTe9t6o+/xn3oblRTM/ERi/BPfTVq0lRziu1bSd/6a+wNz+KfcAbJ7Pl4y++CgRLBGRdgd2zCu+dWlO1AUEPNXoB/7uvx2tfi9vUhUw7Ur1d7hv9K+DWT/WhsQYS+8RzDhNrrLydecALOshtIohArlX5JAS37kGZIrbE3roYtG7F6Ok2OdqAfncmbFBKGuAxLYvX1IOokZ4M8VyIKsTevQ/Z2Gvd5UCtsx8QPUQhxiOzcWVdgQNQrsh6/H3v9KnBdU+vc3Yks9SNtB5EkqEwWWW8ESC270UwIxT5ULo/KFbD2GJfcffjP5kMNQ8PeYdvIUh+yXMJe+wxWx5a6MqTNNSpl2uMOxe3VitpbP0A0YRp07TAuXCEHzWNR+Qas+25DLViMaqw3fCchsq8Pq7eLqHkUOt9gLKkQplClXCI88Wyqb/sQ3rf+FTHzCPTo8YiBPvwLLyWeOQ/ZtRvVOgbRtQtn/bOmNLV7N2rMBOIJU7C3b0EUe837SGWIJx6Gah0Njo3wA+yOzSSZHCqXr3NKS2RfL9b2zSQtbSQTp9Y5rRViYAB75zaUtIgXHm/aLh3XYAm2bXiikwRr93as3i7iuUejWlpA2ogkxm5faybOQYkidDpDuPQsKh/6J+wnH8O58efIVBpcj9pFlxMceRyJEOBZMHEyGoG94nHU5BnULnkn/vGnoeLQfDOnX4CQDtlvfo5g6Vn4516C3LAaXWii8q5PkvrtT7Fv+w0i56BbRpvxl5yMXnYEcvd25PjJJE3NJvTq2onVuZNk7ERUcyv2upWoljaStnHI3j1UX/tW1PSZiOV3mCq7lxWFPgiXQZaKZmaqxyGyrwf6e4fCDznEW7UXeR4et6h8A8mkGZBKI7duwNnwbF1RZd3k1OMUxF6rpxJkqYgsl/bGesp8NIABquqxuKgMGAta572y+rvNb3U01Fm/at9YafBatcaqVkDsfA51J0l88LGN1tDYim4bh/zG5+Hqb6G0gtkL4N++RzB2Ipblot75KWqnn2vID3SN1J3LyNx6HZUL3kJ45GKQNjqdJfOL75D76ddR46ZgP7WcYk8P9qe/SnzeG9AqQcQJ1gN3kJT6jeIJ6PviT8jefQupX3yL6MSzKX3wn2n8wsdwHrjdWJyJh1F724eonXMxFFysTVtp+OpnCRafjH/kYtS4SejGLN7991P4j48QHrWE8v/7MrqxACrBWreOhq/+EyrfSP/nvoFV7CMZMx7vgTvQqTThkceB1uS+/0UyN11D9b2fxj/9LNAuYqBI8yfeilz1xF6vqFYhPuZkwpNfhYg1cb6BciZPAaCxFf/083Gv+yHW968ktF34xrX4845BHrMUe/4x1M6+EO83PyP56meIlIaf3UbljNfgXPNddDqD7u0i3LQeNW0WGojWPEMtCMkUJMkRi6idcxGqKUVwxgVYDa0kS04jOOlU8GNSN/2KwlVfJjzrIsqXXE7rFecSLj2b6mvfgqhUiCdNQ80dTTh/Me7Nv36Z00gHI0lsFGCQrCuOhtgwhj7gehyyD7ujVmjbJpk8nWDJmejmUbjL78LetAZRKu1LcCet5wIxSQzxXrZLs3/9gDCox+j1VQ9Ushcw2odAT9RdYrGXvG44IKLiffm5BkEh2z6kSS4+4miU46Lf+k6YvwiKPdA8GjudRdx1E36lTMO1/0287LeEpRL8438QtI6GWfNNDrpUgjtugsUnEZx4NuKRe4lb2xC7OtCXXE5y3GnIH32VePwU9MVvQWzfAn4V5i5APvsk8awF+KPHY/V2Uz3vDchalYFN68lVq3iBT3DMUoITTkcs+wPqjl8T10KKu7Yh3/xekplHIH7+PfTUwwgWn0rtsFm4999OOgyo+lX04UcRv/fTlA+bg93ahm5rJr71tzBlGsExJ2Mvv9uMe9qr8afORk2bS3DSmchlt5L8/ho0UFz9NIUkwbasoT7p4JRXEQuJe9WXCc69mGjeMYhVj9U5zlKER5+Adck78Hq7cH/zI4LO3VTzBbwlZ2LfdzvhL75Hqr+PNMAPvkQlnaW2eyfR2InQsRm9tR2x9Ex0GKAfewDpuMYgbV6L2L0Dip3oNc/gL1qCXatgfeBNxEcsJjjtVVQnTcd59jHUOz5G6e0fQy1agnX/MuLtW1Dv+Dj84RbCP/4G37bJH7D67sWTQ4crpdyrvIPKZtkG4LEs87Hb9r4KNmjvwtCwZHTuwNq5zYBbSLO/45i4yHYOjKJKac5jO3X2SDE8GWa2D6KLtrP3GgZ/G0QlB38b3G47e6/VqqPoQ/fhHJry1gPXeOY8w7wYheiFx8GH3g/nXmQaE266Fsu2ET17sFc9Bds3Q08nqms3wYSpEPiIP/wK5xv/gnvvbcSjxlLNNZIUGqG3C3n5R5A7t2F97bO4P/8Ock8XqjKAkhYqCtH3L8Pa3UHc2II/eyHRzHnIq79NvOZplFaIyOTpdaEB6fcjN29GPvs4ons3cds45CP3Ib71LzjX/wykpNo2jqQ8YFJ+mzfCrq1Q7CMo9hNNmYm1fiP89BvYd91i0Ny7bsG59irklg3E1Qq1KEJn08hiP3RsQq54BLo7hxrvRRgSLTwB/5wLUWMnmIk1nUEfcRQqjhC9nWR++V3U2mdJTjsP3vQeZC6P9/j9WEIQTZmOfcNPkeufxW1qItvSTO6235H93S8hk4O2sbB6BToMsGYeDju3QfsanIwBEq0Nq0w69MEHEV27SGbMRTc2Ye3aBQO9qNHj8VvGIB/+M86qp/Bf+xaigX7E1d/CWn6P6bS76SbEU8sRmczfgAV+wVOFBXGMs+pJ7E3rDKtkUDNAimXzdyNaowpNyFKR5ANvMjHnt6+H3TuIrvoSsqeT9Nz5lD/xnyT5BmOhMxLre9+EiYdBTxfysftx/QqioYGwu9PweuUKyJ4u08729c+jXI9MPk+wqwM/3wijxiA6NqFXPoYT1AjHTyZ62wexdm8n/v0vSCcxTq4BrWLsrZuwdm0nuvw9cMm78e6/jfz3r6SnbSzW9/4TVS7i5XOwZyeRm6Jy0eWI11+BGj0OxjbBkysRj95H8oZ3IjauwdqxCattDGLTOuIVjyBHjcZxXaKdW5FbN8L2nURvfgdcfDn24w/Q8Nl3IXq70XEM2ZyxvhMnQQLB+z4FA2XEqLFEUYQbBmS/fyXxnj3El3+E6KwLCd7zafJArlykXymSYh/ZdArXcUgA2tpI1ypYx5+CdhySLevRbWNg4lTY1l6HXZx6OWmWZMZcrLtuhdnzSRpbCKdMgV/fBx6weZtx8d007s4OomOWIH/2HaJN63Eu/wgOEAQ1UkCuXnn2Uop8yT7qdIbgpHPxz38z/jkXU3vDO6le+kGCk88x+V2t/m4UOG4bC6V+rDCgsGkdmUfvgVFjcI5YSGb0GMIrPkFi2dj/9C7kw3ebMH/tSnQuj2pqxdm9HTFhMvGxJyO3tYNSqJZR8NTD6KYsse2SthzipWeihMTK5pDNLbCrAxEGWNUKesp0knMvxrnpGkR/L17Kwwp8whPOpPaW9yPv+RPeq46Fe28nOnoJlYZWdCZDYtlkbTM2pSLi5HNg6RlYP/4a9pf/H9Q0FPvQu7ahJk2FPbtwggA1YQpUyjgDRURLG9r3EdNmo9//aez7luFctAQef5Bo9nxqSqO1Qvb04J90LvGxJ2P/8gdw+XnwqXfD6mfQCxYT+zX6v/Yr/IuuICeg+epvkrrzD9DQiN/YQlDsh6YW1OFH4dZ8rN49hK96I/1X3URyynnoSdNhoIjs3oNoaUO5KeSOrSZSq2dGkrkLIZsnue23KCEQvXvg0++D1x0PFxwP776A+JF7iM6+mGDREoQfoKbPJZNJI8ZOQPf1YXfuwIKXvJHh+S3wX9uHr3NIJ5MOMyWKcYQaNdoQ1JWL6DVPm1X5/g5WXRFaE81fBKuewrYkHhrnkbvxT3k1nP9G6OsiPvYU4oyHPHwhVncnKgO6WjY8TJOnoy77EFFjM1pIrPtuRx2z1CD8zzyG1b6N5JzXkTQ0Elx8uYntHBcaW2GghB1FONs2oZuz0LGH5OZr8Sxpum5qZvXDZNxEdBJgrZiCjALkjg5qM+aC0qjXXYaaPRd19BL4xfcQx5+GOuF01LpnoXs3or+MThQi34ie3Ip++jHsfIHwqBMQ9y0jVeonnrOAxPOQe3ajjj+VxIrRYyebDrOVT1ArlUj5Psm8o/Df8j5UVyfWj76ObF+LVe9dDt//ScJpc4nnHEl17lFkxozFWr8S5izAbl+LWvU08c4dOLu2E7/xXfiuhcgWCE99DXHbGCqlEmrqLFSisXs60VNmELeOxtrZYT76OgVSfMQiVGMGveQMnHIJFQaoiROh2I3sK2L19KDnHU104duwnniIJFtAv/qNyD9djxo7kWjODOy5C7FWPo6OwhfMJX5Q4OhBKfDBMnIc6ocdRdhb25F7dptlN9IZdK4B2bNrL2nc30PNbJ0vTK9+ClnqR3kO1uYNeBtW4ucK+FGCveZpwlNOJfjCD/Du+ROiox/dYJhM8GuEr7sMpIX7w68gH/oz9rv/EZ5aTtzfS/aPv6b2hndQGT8Z4biI1SsQvd3IxhZ0b7exBP094CvEDT8h3NpOrqGAQKC8FM5TD+He9hsqV3yAeMkp2CtX4tx8LfHsBcjuTtThR1JetAjv0eVw3Q+QxX7U/EUEl34QuasDa9Ma1K4OxOhxqB1F1GP3I/MNSK1JVjyCLJeQ6TSqpxN72e+x/Br+pz4Fs3+GtWEV7veuJKoYUv3o+NMNh9p3/h3RvpZ0IU/aSxGsXUFfbz/hlFnkf/Edym95P6U3v9eQ5XX34v382+jld2Pl8th/vomB113GwKe+BLHCWvcs3lc+Q3DvbYjz32Twlr5u9OELiQb6sTs2Y1vDyOuEQOzYg37Te/B+8xOiWfOI3/8PgIXcuJnUnX9ANbcSWJLMVz5NsnAJyWe/RtDQgiqX0I0uesbh0NCErhTBcV/cb2t/vdq/lNK27X1Ktv6aMbDO5vfyLQ+CYUm8d/WEvxMXOpl7JH3r15AuF8m6phc1GTuRsu+TbNtEYeZcyq5HGCXQ24WTbyCeOgv9D19AXP9D9EN3mZe1YyvpWpnUtFn4SYK/8kma586j1thKtVo15+vajWtZ2I3NqPa1WJYF/3U1lcUnwrkL8Ho7yecLQ+6dUAo1ZgLlphb8IICBAVOW9/F/N0wq//0FVBxBfx/2lvVkJ04hHjuJShCaNYWTGBkGyN49ZOYvov+he2hqbETMPZK+VU+TKRfJzJ3PQBQTb95IfsJEgrFjqQ74UC5hd+4glUSkbRvGTqTW0ERtwxrcYh/5pkaTScwVCCZMpfTMkzSOGkXUNo7K4KofYYDcvYPUQB/pXA5GjaXS0IyfJKaYpFzC7t6NVxnAmzOfSq1mesfHTSRqbMFvX0c2DvDSGZNpbG7Db26l3F/E7t5FetxEapkscRSD72OX+kjl8iSuS/zsU2THTSSZOJXKM0+QnTCZqLkRf9t2Uj2d5NPei2eBMV1RSZLsU0r50ilwvRxwiNFSa1PgMEgM8Pey8LcQyJ49lBNwCgWcdNpUf5WLhEFMnEqRURFBmBDVE1UuUP3w50ne8l70R96Eu/weBpfzdvM5vDgirAVEuRwZFRNXfQYXTFGAIwWO0gTTZ+N/7PPII5ei77qF6HPvo6Gh4TlMG7JSJqzWGOTaVNNmEV69DOuuWxH//P6hSMbOZkkLSMoVfIYW9jPVTpk0qWqNAdchm8tjFXspa7AbmkhHAUG5SuS5ZGyLpFKjVr8faUtShUak4yBqFZJSmcCS2IUGPNc1IFDgQ2mAshRkXAf8EJ991wbyGhtxHBtdHiCuBYTDfrcsidfYhFMtU6sFqGyWtBQkA2UCx8ZrqLNm1IkGVblCrZ76TKGJlKH1HTqXLSFWhKkUWddGl8pUHJu0ABXG+ICdy5HKZF5UL/JACmy/lB/2S10n+rKh0M2jyNWpW7RSpiG+0IQrBC6mf9QTYqgJnFoF5bkEj99PUqviWZJs2+ihZnOlNU5e4NSPtXMF8vs18Mv+PuKjjiM57VzU8odxf/0jsKwD0uSobA4nl8cVAuHXiFta6O/tQqxZgZPPkx1kzaj3uVqZLLn9mtlNqWSOQr0pfvg9J7aNk8kNXa+VzQ9d71APs1JoL43VliEz7AMFzDrFo1JDY4uCGDr/8HvWWkOugJMXuAcgQUhyBbz83vNaaXMuPSxE1OkMIp0ZunYGJ6kDjDd4P4xKk69fmyXMuV+unuCXzgKPyP8c2zS1UI0Tou49pIUmlT7ElIRKIN+I39DEQOdurGIvOdd9Xp6rfc7tesRNrZR2dJCOQ1KDNDMj8oqSl9eFHpH/0TsR1QqxX0N5Kax0Zm9J6kGPIRGhjyoW8TWIlIeXL/zlHgwhTP/0QD81LXDyBSzbHnknIwo8Ioeux891217IGOIF8jPJYW7ziPxtKLB9wLhiRF4mT1r/VcZ4oeO81FVEI3Lok7vWeh/aWjmiwCMyIn87E/z++mnvPwOPzMIjMiKvTPf5QFTFcn8TnSTJwS2rMiIjMiIvmSRJMhT/7m+BA8AbJNMeZKQEhpgqR2RERuTlc5vjOCaO4yHC+0ElFkIkNrBCa33sgXxtpdSIAo/IiLwCFHhQeQf1UQiB4zh9ttb698BsrXXDcL7ZQeb6g1llYERGZEReHOUdHuIO94gty4qz2dx2y7KsbbZtn6W1Hru/Aj/fYCMyIiPy0sigPkopzWJqdaqndDrdOXr02LU2sG3MmLFf9n3/I0EQHKuUkqCGEsX7LEg1IiMyIi+5AgNDa3dblk06ne5ubGzYnE6nN9gAo0a1XV8qFSf29/fnwjCcqpTKAHJ/azyixCMyIi+98tYVWEkpB1Kp1K7GxsbNhULDdqVU+/8fANRQTK2s9sySAAAAAElFTkSuQmCC'
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'
button_role_mass_mentioner = 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mUZ6nqDKvzFf30wmKQJNTNtZaUzTwTIq3+0nt6hg6a1vt6G4YttbPTXTVrkTpaMN3e3WxflwVmRz96ypub7vlkCfj8iFc/puzQCVSUl1NRXo7vkRegxsT3yAsU9+vXMz3y09Me+Ct6+UAwTaJX3pxrne1NnbvkSx17CpETT7XSVy2z3rVskfX/S64hfOHVYJoYFZU0PvmmZUj7fAOSJKF0XcB22Ec9zObDjyZ2ywPd3sGqZciyjGfxu1a+K64ndPYldj+GfvpbxKow8ns1VJSXI3X9XPkV88Mu/fqCCq3UbyMZLCB+0Fj8C95Ezrj2SVLniatemaHNNCPuQmwruzNyj6wkx4zHCBYiNTf0uVU2cO+NRMdPwjhoDPUvfJArlZrqif7qJkQ43Ovrb7LpNbz4Yedqvrm295boadOJTJtOvlPzYu1KzKcfxlVUhPqXh1COnox22ESi195G9Nrbcvac5h3X4dpTauqmGrTpl1E3/bKc/jFvvxa3quJ671XU+W+SPGYK7ff+ia5fvY0/zqKpuZkQ+w+6SeDMtP4qf74l7yMl4hgFRUQPOwZDVdPPhH3iqre0MHRb+vYuv2EZunTdXswTw0aRGDEGDAPPgrd2u332WrEbebuml5470fpEko0lCzBnXoC8eQM+n2+X6BV//3ykpQtyjG7Ggnm9qnuPiEasTzJTx6CqKq70uBZffSbKnCes51l157unIy1+h1Ao1I1uvneZO0gHYOUS5L89nmNFzvSPPxDABIpu+I5Vl8b6nHzMug3zqYcIpPOxi+O4t37dFsuu3kiBQIBo9CuOViHJtJ5/JYlRhyPFIvT73S+Qm7bTftH3iB37LZQvNlH0wK1IbS073s6WVtB66XXoJRUE5z6Ld+FbO/XpDZ9+EZEpZyK3NlH48M9R6rbQfsm1xCadgohFKPrNrbg2rNk9I108TltbG4FAYKdGrEgkQjgcpqCgIMfamaHRNT0cDud86vB4PAQCAdvA0xO9fOmGYdDR0WF/Sw0EAvY7upbPRiqVorm5uce9vNfrtWl1bWs0GrUtx13rnqHr9/tzyre1tRGPxyktLbVtBYZh0NDQgMfjoaCgIKesEML2aVdVlVAo1M0AFolEiMVi9jdoVVXxer12m3uqy75GLBbrA95Iho5v8Tukho7ECBURHzsB/7yX7U8/vVehsVRoQ6fXJ2B13TJ8aRoilUTrP4jksEPANPH+503kui273TyPx9PrTw9+vz8vk/dEIxAI7HBC9UQvX7okSRQUFFBQUNAt784sveXl5V/Kar0j2j3RzVdHSZJy8nYtu7M2fNm6OFbozCeFz1ajbN4IQhD7xhRMrw9h6FkMvAv74F2JY20atuFLaCniR56AXtofkUriXr7Q8QV2sF9hnwZ2933wNqnqEeglFSRGT+iUpqKX9cg8FyK9SehFmbQVWupoJTWwmsTIsSAEnkXzULZs3GdB7R042DMMvBfhXrUE19ZakqFxhE89H2EYILt6L32/lPpuIJIJjFAh4annWV5Juobng3f2iSODAwd7lIH3tj9l4JVnaCsuRx8wGFTVVqG71kMvLEZKxBHxaF4p2c3aqrgwggVIHa05wd5Nw7SidQQLoZ8VMM//8jMotetxZK8DRwLvagU211L4+18SPf5UEkcej9GvNM3EnXlS1QfRfuH3EIkYBU/MQm7sPAvbk8ErctqFxI48Ht9bL+F773VE9jUt6TKuDWvwzf8X6qqlTkRKB/sl+kRgd7mhjuCcx6zjjGnnhGxoBwzGKChE6z8IPdTlxoYeDF6pwUMxVTda/0GYXc7gmrKC3NpE8PnZuJcvcpjXgcPAewQ9HJUTumar1iInlA6doXa6QKSSVn5D7x5+x46vtWea3/znt6hftJ3oVZ3B7MwBg2l4u4b6RdsxBwzebyZEw9s1xC++pld5k6dfTP2i7d3aaA4YTP2i7aSOm7rb9Wl55J90/OyRPtlX+ugJND2/aJ+Obx9jYKPzl8uOPTBcmnHzMXFGMgspV0JnzltL0i75Hu9wINPHD8MeH7GYpapHL7racgGMRmhY/uG+uzB9Fyek6fXTsfAdEomd35/ccck1uJ9/EqpFThvFF59TemQZLXOeRNN2L0SRXjmE1NZN+/yygXxIjZ2AUVxGyyfL9tn49j0JnDnb3LU/RA9MJ8mdDhBdGTizl84uIonOM9d7osoDBluMuqkGKgZimibmgMFEp55jRX5Y8zFCCGLfu9WWyNnSOnrVLXZaZjU3Bwym6flF3fJmI185gMgN9+Sk66Mn2JK15ZF/5n1/pl6tP/2t5ei/cB6p79+Rl34GTc8vQh9YReKcS3F//3aoMWl6dRX1i7YTueEemv/+AWVlZRhnXUrj3E+oX7SdhrdrSJ5+sS1Zm55fZD9ru+9piymOm2q3ven5RRjFpRgfL845SRW54R67XPOf37IlYaa+kRvuyUur4e0aUsdNJXLDPTQ9vyinLZky+fov33gkT7+Y9mtuxfT60Z55F+34aTnt3BPax/7HwPY55XzOCaI7owphRbDMK00z+aXuC4HcA9N/CSROPM36Y+HbiPIB6LpO9KKrkTfVYtRvQ9r+Ba5jphCeMRP3ff+HGCLBkgWEjzyOaMkAwjNm4vn5D+DEEej9ymiadgEdV96EiERQhrvgudmEp51nS/bMopGvXPSq/yN+5CR8l50C1QJ9+zZazpxB4thTrIm2fhXukR5Yu4LwkccR/sbJnfWafBC6xw+N2xFVI4heem03+tlSpvBn11p/nDiCxGdrreH790vIwxQiHh/UfkrzsLG0XXcH3kfuQh6mYL70LK0XX00ymUQ7aDRmOIw0cQDS3x4nccwU2vtV0Pbje3B98C7KcBf6diuwgrFySY6fb7J6BCYm8pSD0b41mua7Z6OmyzDzAiJnzyBS3L8bLdPrp/WjhSTLB1j1Sx8H1QdWEd9UQ+uVN+ftv/Y846E/90eUZQutwAbTv0HrNbehvjPXaufnG2iZdv5uax/7IQNnXAP1/BI1r6osWVK4WzqdqnJOi7Py7wENWu9faUnajjYoLUcbNITo1HNQ/vYYHDwWqW4LypL5eP/+JPFJpyDe2QCHH43UUEdC0xCxCPFbf4PrjocIzJmNedcP0Tva0EaMQn9rPe4DKvHPOKnb+fR85aInnoY+sIroE69BjQmHHw3BELGBVZZk/ckVuFwuXLEoUu164t88HWXZQuJPPEBBy3bcaz+GlUuRFSUv/ez4U6mxExCxCGxcT3DEwdbfP7kCr9eLPPYIRN1WzAuvxPT6idzya/RPNTjvuwh/gHDpAZheP+bv7rLOTssy0uZa4t88A9PnI3XTFdY56U+WIDbXwsb1ORLYKC1HmveK9e7r78AsLiN29qVo61Pw4DOWJL1kZl5aZu06jAOHIuq24nK5bEmpv/ws2jdPz9t/env+8TAqh6Js32pFU4lFiJ99KeYry/CvWob6P6fnLLpfEwZO+/fqPZ1t7nJOWoh03Gi5ZwksddGhpT0rgbXyAYiGOuQtGzGLy9Avvw55Uy2Jd14Hrx99+Qck7/szySOPQ5YErl/fBtEIxhebUTZvoOT4Knh1DqmScsIzrkX9/k8puu8mPD//AWbNehKHHU300Rfpl+XvK774PG85Y1AV8u3X5jqozzgZY0Al0qYahBD4fD6M0nJEuB2qR8Bna3G73aiqinbgUORIB+rW2rz0vV5v7sKVpqkNOwTRWN9Jv7gMc8tGzOrhludPVn3M8eUYE0+wNIlXniUQCGAEgoiGOqSBByJtqsEwDHw+H3rFAUgNdbajTUb70AdWwZbP8Xq9GP0rkdet7O6cD4geaOkDqzDTPsL6oGp7Ieqp/1y3X91tPIpGjctR7/tdMhl5zuMYdV8QOXsGxm/+ulcCzPc9I5au57m4rIuzP3n2tPRkxBI9SHKJPSGCtQOHIjasRa61oj0Y516OtOAt5Ekn25PUGH8sYuE7iO9OQzvzO5Zz/tbPST76D1qemkfZHdfg/sO9lkruC1K/aDseWabwuvOR1q7AjHTQ0tLpmdV239PdyzU2IGIR9BOmUVhYSCDtpF48+VTE0JGI2vW2GqoPrIJVyxGRMPpRx+NyuYhedYs9sROPvJiXfrZhK1k9wqaplQ1A+mSpxRBpQ5jxynM2ff/IsRRNvxSxKkzo+jvwjj7CDmGrKAqpquGIDWsRAozKapRvTCF13FTik062+jZL+mrDDrElZibdqKxGOeMiSg8dj/xeDd5H/o5fUTDz0JImnmiVDxUixk8i8u2L7YWop/6LrYp2H4906B1j5RL06+6k4e0a+j3zKP57bkQ01aO1te4Vw9s+icixw2gZmfPQRp4IFdk3MNj7sSyDVNfIBUKAmb5HyU7P+oy0J6KLDKzC3LIRdel/rHc21pP8+Q8QhxxqT1L3R/PRpl+Gtj6FkpEkrc14/vE02qAq6hdtJzHrKTzPPwl3/RDl/Tdovfl+Wpe2IMoqUH95g+U+ln6n76W/di/39MO4n30MjjuZ1qUtRE89H/d9/0fzvLnoldWYHW0Ws0xKq4zv/QvvXx8Fn5/wig5ik0/tTP/nX/LSF1l9bJSWwxebLYlWOQQz3IaqqrZqbdauI/TsH8DnJzJ3OS2/egL33Dl0/PqnJMr6I9LSENO0rPhbP8fz5G8RjfWk/vwv2q+5DdPrR99cazn8Z6J+HDzOlpiqy4Xv6YcQjfVov36ahhcWIzVsJzXzPIzZs/LSUpf+x5LY199B+J4nrKmxYR0ulwv/32bn7T91/pvdx6O50Rrvv72P7x9PIRrraXhhMZG5y1E21SDfciXSHppjO4rI0c0f2Ov17hXdPe9niTO+Q3ziiShN9RT8/m6kdkvqxI+eTPi8KzG9PgrvvRHXp6usyVYxkLaZt6OXlBOY8xied1+zD2W0XXcnyYPG4v7ofQLP/QGpvdXaG505g+jJZyO3NBB66OcoWzfu/rfThgZCoRBut5uGhgZLperXj2g0SiKRoKioyPaFBctVMB6PU1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5jtmTzd5Zlh1NmT7SiZKnQmt3H9EPFKOu3586rk8bY672/vZRAWvVr7UZRN1bCIYOJlnTLUUtFxvZ+/QWb/BnST7kK7a2ZuQ198La93JFeW81EXwXfmuHYbNVnnE/o1it2u+73RcnFp6BOfwI25Dn+liy0l2qm3klBOPy9pJbv+an4nnwYYtFcT/ODt9pLPx07YZrm9+pn8cWnoCx4p/nEtq3OslQ2Olz/c7TpT+YuMaWvLZ+dSjgUYn9Di91IoVAod+H930Dd+EmkuvXKVZm9vqz1W1+z9NWaHUr59qtnyb8IP3I7Ru++RC+8AqNHWTpkTCIScQIzn8T/5ss0jbmA2NkXIf2hNElFyzjq7BjqjKSxTDANSKVQtm2m46Vn7PGYa2trMU1zl8sKmXJFRUXODW5ZFjU1NViWRceOHVt4giORSM5Sht/vx+PxsH37djweD+3bt7cfJNEokYgtawoKCvD7/btVN1OvsLAwR33f5YMrGiWRSOSoyj6fj0AgkONgSqVS1NbWEgwGCWWRIXPe5/NRWGiHtzY1NRGJRByPs8fjccYhpaS4uHiX7eWfb2hooCkdzqr84hqsKY/A7On4rv+Fc93MeJqampwHReba2XNSXV2Nqqp0yJfIbYympqa9txspx/OckXYZFVrTmpeLHGeS2nKTgpQkhwwnfvJP8M98ksKVyzC79sQs7QapFPq61WhrVpI69DDix55iq+yWaavaUgEVkOmNDkI6qnLONRTFdmypMif6Z0+wuz9oa+UURdkp8UOhUM4NmU2WHBM4GGxe7vgedVurtzvY3Xq6rtOpU6fdOu/3+x0H1o76uzvtRa6/l+jYiXiWVtD+6p9SUFCA1bkndRddgQVQtbHFg3J3xrOv1n33+jKSbWeqzUs2zhpvhrxKjs2bQyzLQl/+Kf43XkCr/BqjzwDMki52eQnSq2J07YVUVdRv11Pw0O+JnT2e5BEjkD6/vYSU6UeGxMhWtiIqdllFsfvp4oCBf85MYqefR3LIMLYsyvWWi42VyLuvQy0o+NGOr03vViGtrMgrNTcwQ9Psc4ra7OTKcWGbBJ9/DN+bL5MqP5zGX91Gqqy/LUFNww7IoNmRpX+5lMBb0/F9+DZm9zKMbr2bSWop9iKAELR4T6pD5vSDxM2JfUBBXf4Jhbddw/ZLfoNMR58BdojktT9D1/VWJf2Pl8A/YGJ3ddsWjK49kdkOo6zgCUe9pmW2jdDf78c39zWiF11FfPQ5dpijaTY7pzLkNU1EvAnj4ENpuPoWlIY6pMeLiDYgfcG0eiyby2f+5j8w0tdXt2xySXyAwbvgTdrP+yeRSCQnDDMYCNhmxY/4925TCax/u47EwCNz459zyNt6qhzf/Dfwvf0KsQsuJ37aWKTmsYmbs1HfPjzLF+Ob/wYilUIGQkivF6WhHikU4sefQeqwYUhfwL5Wpp4gl8RZf/W1q9w7/gCErmltnuBgvyDwD5mVUt3yLSKRQIaz1FRBs0e4FckrEnG8b04nVdafRMYpZZr20pCUudLXIaSCVBRIJhCJODKVsr3b2ctIlmI7seQOJLB9ddS1q9w8li5cCQyg1VTj+eZL4h065gZV5Nuf2XVWfo66cS2J0WOxCts3p8XJUYOb6ycHHUWq3yDbLnacXxJUFen3246yrICPFuZCVh+0davRVi937woXLoFtadqEd/liEoOHIoO7t2tDqa9FWCZmcSdb3c5EXeVHiKWJp69ege+DOWAZtmoOkEwgvT4Sw08idehh9vm8yK3WpLCn4n20Tevcu8LFjwZtG9gpJfqGNfiWLkSkks3SNFsC5sEo60/sgisw+g1CZhLVWXmky8Q1K2pa589rU0qEaSIydrOjRueFYWb1QVu1HO9HbyMiDe5d4cKVwI6gNFL4P55Pqt8gjFCBTTgrK/NWntfb7NKDpjEXAla6rNn8fStOp1T54Rj9BuYR1baZZWbZitakb5YKbRj43nwZtY0cWLGrbqHppDGY6aUtbfUKOvziJABqZlTg+3gBwftvOOBuLnPg0dTd8wRWUTEFU++k8dLJFJ9QRs2MCvzvvUFg2h/2XDZ06Un1K5/Q/sZfon/wZqtl6qa9jv9fc/E9N9WVwP+WM2trFYG3Z6Jsr2teCsp2TOWrxmraySVlrtma7c3OSGDda+ee8gfsw+dHev32jqVMUIZsfQNEBv43XsT7r7ltkmY2ev19xMZcgP7kw2h9dbj2Qoxuvam57o/ILj0xu/Um/uE7P1j46v6E2Hm/RGzbgtpHo+HBWyk4pivV1dWY3XrTtLTCCWvcI8Hw3XqKh5ZQN/0pDMNoleCpIcNoWrOKRCLhEvjfhXf5YgKzX0I01OWu57bmVW51LTpvW6CqpqO48pamsmOfdxZEn27f++Hb+Gc+iVJb3SYSKHruRLx3X0fqmamEQiFKFs8j8PLjWJYk0ru/XW7ynUSWNVI9fy2pUWc4Urt6/lq2Vmxha8UWYlfZ2/Oq56+lbtrrLc6nRp1BzYwKtlZsoWZGBdXz15I8e4IjiTLla595zym/bfYKtlZsybluvgTLtLm1YgvR6+8DoPaZ95y60evvI3bVLTltJc+eQOPt02g6dSxmv3LkX15Cn7mI5D1P0O48e9eSuexT+NllLertbh+i199H7cyPKSkpQZ50ds7YM9IZIHXX30jc8hA1MyqcNmtmVBC9/j6SZ09ga8UWts1e4cxBa9fanbk64AkM4P/XuwRnvWCTxTDSJDZ3voVR0DLRu5onhZ1zWTHVWRv1HVJnq9+A94O3CD7+J9Q2clzFTzsPdWMlTa8+S2FhobN1MPTXuwjd/RvM8iPsgu+8htZXR0qoP3wEifKjiEy8Fu8DNyMOUmDJQiJDRxE59lSkP4ix+gu8h/hg5TIiQ0cR69iF7Tfch/7xB2h9dcwtVUh/kO3vzabugeeQwZBd/sR+GB1KqL3gKhquvRXP+7NR+2jI9WuoO/OCFpLM7HGQnZHo1HL4x+P2tsGizpjde8P6r1H7aETfn0Nk4rVo/3zBbuvLz6mfMAnv7y61E8k9eCvWpHEYHTuR+nYDkX6D7cRxpd2ITL4T/7S77Xr/fIn6CZNy813tpA9WKAyVX1NbW8v2G+5DWfcN2qnlmN16U3PmhQRmPm3vkioPES/u7JQFbK1nw1qi6aT01pRfoQwqpO6Ge5055NoLnWvtzlz9RxAYy8T/7uuEnn8MrXIVpBJgpNXp7KUiaP0VK4poucMoeyNEhsTOzqO8HUhp8oqmGP5XnyE07W7UDWvabLhGpy6w7ms0TUPTct0Nfr8ftUt31M8Wwd3X4ff77e41bsf85AP8M58iftzpiPfXwBHHoFRvJtm9zN7v+7vL0HUdvSmGUrma+Mk/QQYCpH57mZ0Eb8USO6mAlKRGnILRt5zEV3GYtwo6lthbLqMR4udejHxjKcEvluK5/OwclVZ26Wnvbf7d5VC5ig7vvmZLvrJDbJPlqUfQNA3v+ZegLV1E8s5f28n7ViyB4k5Eirsii0pQ1n9DwYAhyO69kcsWI7t0R1RvRplwFdIfJHrLnzG/NuD8SxHBkLOLaqd9KCwiOWAIYvO3iEn2Hmzr9v+HvmktxUNLsO6aTLKkM+r6b9A0DbWsL2Lzt+i67khPc9ZLECqw53/2S/h+dSsUlRA/92KM1Sl45EXnWiIa3elc/ecQOCP5KuYTnnY33g/mIOIxm8AZtTrfHs5RibMlbmb3UiuvXclOl5O3x1hbv4bQY38g+MSDKNVVbT5WGQy3yNmUPHsC5sCjSfXui1izEq/Xi++g/vZOqGWLid/3FMmho1AVgf7nW+0MiN9thK49UTasRQhBIBDAKu5ke83T5y3LIhAIYJZ2RVm/BuW40fYFs9OzlgmsuyYT+NmxqNOfwNr8HdFzJ2I99EJOgjajzwCUmmrMhe9SWFiIMfhoe79y7z72uFZ8RjAYxOh1MHxjj8Hv99vX3rAWc9gJ9jN71otOBkxz2afQqQtizUoo62fvvc3qlzyqU06CvR32oWIeVlEJctM66NoT0RTFXPMVoVAIIYStVvfu45DW7NYb+cVSVFXFTD8EWbcaq/xwxJbv8Hq90KUn6qrlLeaKinkUTjh+p3O1fxE439nTRoe27mvCf3+A0P/ci75sMSSTLZd48lXnHNs2W6qKluGaam7WSbVmC/5ZLxC+9wZ8c19HNMXafIz6mq+wDh9O6rq7QUpSx9k2VvT0cZiffmirot+uR9c0UkeOtInxxktYR41ELHofcemZGOf8HAJBxLfrkQf1R6xdbT8QpLS92l/8HwKwOnZC6zOA1HFnED/uVMSW71C3pxOw3fQnSoqL8T7zDuqCtYRue5hIRRUdXphG8L4bETVbMbbX29Iv3ffk0cfb0u+sC+Gw4UR/OgF99nRE1562CrxuNaqioFRvwRw2Cl3TSJ49gfhxp6LNeQWlfIhdDrDKD3fqmP0HwbfrEbEI5rDjCR4ymPbnXYz4IkLB5DvsjBe76sPwE5H+INYb/0Ag7JRBw08kdsP9VM9fi+zcwyG4OMpOF2sWtEMcOZLoTyc4D0GrqAS5cpmzndDqUYb2k/EUDz4SdcFa/NNmErrtYWoXrN/pXO3VY1fLSBZ78ZXYsQjeua+hLVtMashwkkcdR2rIUGSosPX3AWeTNc+etbcE5sg+e4CVq9GXfIRn0Xy01SsQqeReG5//sT8Q79QV45Jfs/WSX9vax4ynMG/6L2JpiWuuXYWiqiT7DULZWIkFeD79iPi4X8K4X+L9aC4mIOtrsXoehLLmKzRNI5VOEG8ueJvgko+IDDue1JzlNGystNv96nP8c1+Fj+aSumwyWy+bjLqpEu3mK4lv/hZx4llUv2q/PVBfWoF1yxUIn8+ZGzMUtvvz8AvUAN63X8G86b9QHp8N1Zttk0AIQi/+jfob7yWyPIJoiqLPnk7qL7ejPTodK20+GKXdENWb0foMwPAHMRd/SGDjWmI3PUB09v8RTc9L459vg3DYlog76YM+6RZSTVFk5S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'
| theme_name = 'Future Bloo'
theme_author = 'Lucas.'
theme_version = '1.0'
theme_bio = 'Bloo'
window_theme = 'Black'
button_colour = 'black'
attacks_theme = {'background': 'Black', 'button_colour': ('black', 'cyan')}
banner_size = (600, 100)
banner_padding = ((75, 15), 0)
menu1 = 'cyan'
menu2 = 'white'
rtb_icon = 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button_leaver = 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'
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'
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'
button_role_mass_mentioner = 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5jtmTzd5Zlh1NmT7SiZKnQmt3H9EPFKOu3586rk8bY672/vZRAWvVr7UZRN1bCIYOJlnTLUUtFxvZ+/QWb/BnST7kK7a2ZuQ198La93JFeW81EXwXfmuHYbNVnnE/o1it2u+73RcnFp6BOfwI25Dn+liy0l2qm3klBOPy9pJbv+an4nnwYYtFcT/ODt9pLPx07YZrm9+pn8cWnoCx4p/nEtq3OslQ2Olz/c7TpT+YuMaWvLZ+dSjgUYn9Di91IoVAod+H930Dd+EmkuvXKVZm9vqz1W1+z9NWaHUr59qtnyb8IP3I7Ru++RC+8AqNHWTpkTCIScQIzn8T/5ss0jbmA2NkXIf2hNElFyzjq7BjqjKSxTDANSKVQtm2m46Vn7PGYa2trMU1zl8sKmXJFRUXODW5ZFjU1NViWRceOHVt4giORSM5Sht/vx+PxsH37djweD+3bt7cfJNEokYgtawoKCvD7/btVN1OvsLAwR33f5YMrGiWRSOSoyj6fj0AgkONgSqVS1NbWEgwGCWWRIXPe5/NRWGiHtzY1NRGJRByPs8fjccYhpaS4uHiX7eWfb2hooCkdzqr84hqsKY/A7On4rv+Fc93MeJqampwHReba2XNSXV2Nqqp0yJfIbYympqa9txspx/OckXYZFVrTmpeLHGeS2nKTgpQkhwwnfvJP8M98ksKVyzC79sQs7QapFPq61WhrVpI69DDix55iq+yWaavaUgEVkOmNDkI6qnLONRTFdmypMif6Z0+wuz9oa+UURdkp8UOhUM4NmU2WHBM4GGxe7vgedVurtzvY3Xq6rtOpU6fdOu/3+x0H1o76uzvtRa6/l+jYiXiWVtD+6p9SUFCA1bkndRddgQVQtbHFg3J3xrOv1n33+jKSbWeqzUs2zhpvhrxKjs2bQyzLQl/+Kf43XkCr/BqjzwDMki52eQnSq2J07YVUVdRv11Pw0O+JnT2e5BEjkD6/vYSU6UeGxMhWtiIqdllFsfvp4oCBf85MYqefR3LIMLYsyvWWi42VyLuvQy0o+NGOr03vViGtrMgrNTcwQ9Psc4ra7OTKcWGbBJ9/DN+bL5MqP5zGX91Gqqy/LUFNww7IoNmRpX+5lMBb0/F9+DZm9zKMbr2bSWop9iKAELR4T6pD5vSDxM2JfUBBXf4Jhbddw/ZLfoNMR58BdojktT9D1/VWJf2Pl8A/YGJ3ddsWjK49kdkOo6zgCUe9pmW2jdDf78c39zWiF11FfPQ5dpijaTY7pzLkNU1EvAnj4ENpuPoWlIY6pMeLiDYgfcG0eiyby2f+5j8w0tdXt2xySXyAwbvgTdrP+yeRSCQnDDMYCNhmxY/4925TCax/u47EwCNz459zyNt6qhzf/Dfwvf0KsQsuJ37aWKTmsYmbs1HfPjzLF+Ob/wYilUIGQkivF6WhHikU4sefQeqwYUhfwL5Wpp4gl8RZf/W1q9w7/gCErmltnuBgvyDwD5mVUt3yLSKRQIaz1FRBs0e4FckrEnG8b04nVdafRMYpZZr20pCUudLXIaSCVBRIJhCJODKVsr3b2ctIlmI7seQOJLB9ddS1q9w8li5cCQyg1VTj+eZL4h065gZV5Nuf2XVWfo66cS2J0WOxCts3p8XJUYOb6ycHHUWq3yDbLnacXxJUFen3246yrICPFuZCVh+0davRVi937woXLoFtadqEd/liEoOHIoO7t2tDqa9FWCZmcSdb3c5EXeVHiKWJp69ege+DOWAZtmoOkEwgvT4Sw08idehh9vm8yK3WpLCn4n20Tevcu8LFjwZtG9gpJfqGNfiWLkSkks3SNFsC5sEo60/sgisw+g1CZhLVWXmky8Q1K2pa589rU0qEaSIydrOjRueFYWb1QVu1HO9HbyMiDe5d4cKVwI6gNFL4P55Pqt8gjFCBTTgrK/NWntfb7NKDpjEXAla6rNn8fStOp1T54Rj9BuYR1baZZWbZitakb5YKbRj43nwZtY0cWLGrbqHppDGY6aUtbfUKOvziJABqZlTg+3gBwftvOOBuLnPg0dTd8wRWUTEFU++k8dLJFJ9QRs2MCvzvvUFg2h/2XDZ06Un1K5/Q/sZfon/wZqtl6qa9jv9fc/E9N9WVwP+WM2trFYG3Z6Jsr2teCsp2TOWrxmraySVlrtma7c3OSGDda+ee8gfsw+dHev32jqVMUIZsfQNEBv43XsT7r7ltkmY2ev19xMZcgP7kw2h9dbj2Qoxuvam57o/ILj0xu/Um/uE7P1j46v6E2Hm/RGzbgtpHo+HBWyk4pivV1dWY3XrTtLTCCWvcI8Hw3XqKh5ZQN/0pDMNoleCpIcNoWrOKRCLhEvjfhXf5YgKzX0I01OWu57bmVW51LTpvW6CqpqO48pamsmOfdxZEn27f++Hb+Gc+iVJb3SYSKHruRLx3X0fqmamEQiFKFs8j8PLjWJYk0ru/XW7ynUSWNVI9fy2pUWc4Urt6/lq2Vmxha8UWYlfZ2/Oq56+lbtrrLc6nRp1BzYwKtlZsoWZGBdXz15I8e4IjiTLla595zym/bfYKtlZsybluvgTLtLm1YgvR6+8DoPaZ95y60evvI3bVLTltJc+eQOPt02g6dSxmv3LkX15Cn7mI5D1P0O48e9eSuexT+NllLertbh+i199H7cyPKSkpQZ50ds7YM9IZIHXX30jc8hA1MyqcNmtmVBC9/j6SZ09ga8UWts1e4cxBa9fanbk64AkM4P/XuwRnvWCTxTDSJDZ3voVR0DLRu5onhZ1zWTHVWRv1HVJnq9+A94O3CD7+J9Q2clzFTzsPdWMlTa8+S2FhobN1MPTXuwjd/RvM8iPsgu+8htZXR0qoP3wEifKjiEy8Fu8DNyMOUmDJQiJDRxE59lSkP4ix+gu8h/hg5TIiQ0cR69iF7Tfch/7xB2h9dcwtVUh/kO3vzabugeeQwZBd/sR+GB1KqL3gKhquvRXP+7NR+2jI9WuoO/OCFpLM7HGQnZHo1HL4x+P2tsGizpjde8P6r1H7aETfn0Nk4rVo/3zBbuvLz6mfMAnv7y61E8k9eCvWpHEYHTuR+nYDkX6D7cRxpd2ITL4T/7S77Xr/fIn6CZNy813tpA9WKAyVX1NbW8v2G+5DWfcN2qnlmN16U3PmhQRmPm3vkioPES/u7JQFbK1nw1qi6aT01pRfoQwqpO6Ge5055NoLnWvtzlz9RxAYy8T/7uuEnn8MrXIVpBJgpNXp7KUiaP0VK4poucMoeyNEhsTOzqO8HUhp8oqmGP5XnyE07W7UDWvabLhGpy6w7ms0TUPTct0Nfr8ftUt31M8Wwd3X4ff77e41bsf85AP8M58iftzpiPfXwBHHoFRvJtm9zN7v+7vL0HUdvSmGUrma+Mk/QQYCpH57mZ0Eb8USO6mAlKRGnILRt5zEV3GYtwo6lthbLqMR4udejHxjKcEvluK5/OwclVZ26Wnvbf7d5VC5ig7vvmZLvrJDbJPlqUfQNA3v+ZegLV1E8s5f28n7ViyB4k5Eirsii0pQ1n9DwYAhyO69kcsWI7t0R1RvRplwFdIfJHrLnzG/NuD8SxHBkLOLaqd9KCwiOWAIYvO3iEn2Hmzr9v+HvmktxUNLsO6aTLKkM+r6b9A0DbWsL2Lzt+i67khPc9ZLECqw53/2S/h+dSsUlRA/92KM1Sl45EXnWiIa3elc/ecQOCP5KuYTnnY33g/mIOIxm8AZtTrfHs5RibMlbmb3UiuvXclOl5O3x1hbv4bQY38g+MSDKNVVbT5WGQy3yNmUPHsC5sCjSfXui1izEq/Xi++g/vZOqGWLid/3FMmho1AVgf7nW+0MiN9thK49UTasRQhBIBDAKu5ke83T5y3LIhAIYJZ2RVm/BuW40fYFs9OzlgmsuyYT+NmxqNOfwNr8HdFzJ2I99EJOgjajzwCUmmrMhe9SWFiIMfhoe79y7z72uFZ8RjAYxOh1MHxjj8Hv99vX3rAWc9gJ9jN71otOBkxz2afQqQtizUoo62fvvc3qlzyqU06CvR32oWIeVlEJctM66NoT0RTFXPMVoVAIIYStVvfu45DW7NYb+cVSVFXFTD8EWbcaq/xwxJbv8Hq90KUn6qrlLeaKinkUTjh+p3O1fxE439nTRoe27mvCf3+A0P/ci75sMSSTLZd48lXnHNs2W6qKluGaam7WSbVmC/5ZLxC+9wZ8c19HNMXafIz6mq+wDh9O6rq7QUpSx9k2VvT0cZiffmirot+uR9c0UkeOtInxxktYR41ELHofcemZGOf8HAJBxLfrkQf1R6xdbT8QpLS92l/8HwKwOnZC6zOA1HFnED/uVMSW71C3pxOw3fQnSoqL8T7zDuqCtYRue5hIRRUdXphG8L4bETVbMbbX29Iv3ffk0cfb0u+sC+Gw4UR/OgF99nRE1562CrxuNaqioFRvwRw2Cl3TSJ49gfhxp6LNeQWlfIhdDrDKD3fqmP0HwbfrEbEI5rDjCR4ymPbnXYz4IkLB5DvsjBe76sPwE5H+INYb/0Ag7JRBw08kdsP9VM9fi+zcwyG4OMpOF2sWtEMcOZLoTyc4D0GrqAS5cpmzndDqUYb2k/EUDz4SdcFa/NNmErrtYWoXrN/pXO3VY1fLSBZ78ZXYsQjeua+hLVtMashwkkcdR2rIUGSosPX3AWeTNc+etbcE5sg+e4CVq9GXfIRn0Xy01SsQqeReG5//sT8Q79QV45Jfs/WSX9vax4ynMG/6L2JpiWuuXYWiqiT7DULZWIkFeD79iPi4X8K4X+L9aC4mIOtrsXoehLLmKzRNI5VOEG8ueJvgko+IDDue1JzlNGystNv96nP8c1+Fj+aSumwyWy+bjLqpEu3mK4lv/hZx4llUv2q/PVBfWoF1yxUIn8+ZGzMUtvvz8AvUAN63X8G86b9QHp8N1Zttk0AIQi/+jfob7yWyPIJoiqLPnk7qL7ejPTodK20+GKXdENWb0foMwPAHMRd/SGDjWmI3PUB09v8RTc9L459vg3DYlog76YM+6RZSTVFk5S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button_reaction_adder = 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BpGuFwGFVVKS4uztaHw+G8fvd4PASDwbxk+w3b+Hw+VFWltrb2J+Xl3v7I1QOgIJ0DvLa2lqLcVXLTJBKJEI1GdyonlUpRXV292/V70le57XLl5OquqirBYLDJ39qTdtFoNDuoqqqKz+fL9gNARUUFsiwfdI8cjUZRFCUb2jcmcCCAFo3u2xC6fWdqrvwDZmlrex6aXqRybfiOFnf9FmlH5X4xVht+PpHR4+w5r6JkCex/4+8EZs9EZBZ9HDg4RBCNxfIIfEBCaNcPG1BXfw2JRPo2kgVC4P5sASIS2m+/616+BLm2qt77KgpSLIp72ScOeR38R0BWFGVahtFCCFyq+pOPv+0VibdsJNWhHLO4JcguPJ9/iH/W0/uVSFK4DikSRu92BFagAGEaBF58DPfnC6GZPJftwMGeQNf1vLeHNgqhA4FA3pxnX8IMFpHodSzC0HF//RkifmBWgVOdDyN1WC9cm9ehrP12lyvbDhw0Z8QahNAHlMAOHDjYtwR2cmI5cHAIw0ns7sDBIQzHAztw8J/kgXeW/c6BAweOB3bgwIFDYAcOHBwiBLb3+lqKK69kMmo0B2jXT6d61pJdtql57A3Ctz222/XNDdr107N6Vs9agnb99H0q08E+mgMfbJheH2agELOgCKOgCEv1YPr8WB5fPWlNA0kL26l4tDByqBYpXIsUCSFSqQM6izd69yM2ZASWz8eOwlKK65p+rtvo2BVr2RIikQiBQOAn65sb4icMQlqygEgkQsm5/dmxYwfC49npTqI9ldmcbXcIvDtEKC4l0b03yfLu6KVt7WwbDVOY5P6f81mkkkh1Nbi2bMC9+mvUA/i0VWTCFNwL5hA/fhDG6edgvfI4QghSg0cQmnwLRvty5B/W2ylhl38Gp4+h+prbmqyvuulee5tdTKNo2lW4Pnw777eiv74Z7fzLshkWA88+jO+xP+W12fHce5glZZglpfhnP4tr9deErpialVt4/y2obz6/U1lW207U3PW0ncInrUf48t9itC/HOLcc5ZMPqLj3OUrP6Yd+2JFUp20E8M9+Fv89v0O7fjqxISMQsUjWzuIpYxFbN+bpmStTGzAMbYyduVP+YT1Ft01BXvHZHttf89gbmKVlWZ0KHvkj0dPORu/eC/mH9ZSc2x+jdz9qb32okd6pwSOo+930RuegbsbzJE46FQD3ovkUXjc+r58yOmdsDN/2GLHTz7EJtmYlAMUXD0O7fvpP2nhIhtDJTt2oO/sSIsPOItn1CMyComySOnv/sFyfKkdJp8mR69PmWB4fRlk74scMoO6CK9BOHmUnat/feo8eT6pnX7jlSqSN3yPadyaZTGK17UTd76bj+vRDlO4ujO3b7OhixVLiN81ouv7q21AXzEE+TMHauJaakRfk5Z0yevcjMmEy7hm/R3SVYOliIicMJhbLfxzV6FAOG79DPkxBm/0cddfcjvexO225b75M7fhJxI48bqeyQtfegeXz4zqjN1bldmpGXoDvyRm28KE9iLXrjFRdQWVtHXW/m4604XuU7i545Sm0MRPQStqQ7NIDCwum/gp52hSM9uXs6NM/Lx928Kl762X2G0xsyHC8v70YhvbA8PipOXtCXvqh3bVfP7w3ViRi67R0MaELrsD9xD0oD0yz9TjsKGrueho1fQ6YfGFW79DkWxqdA23cJJLHDsAz4ii45SoSJ51K3eFHE7r2DrBAPdwNky/M2hi5fjqJ4wbiueQMmHwhevdemGtXUf2rqcRPGITv0uHQRWBs39bIxkOTwEKgDR2N3rpdfsbIDGkzea0yubIyubPc7vySk08rOmg4qc6HNfbg+xjhi69C/eeLJJNJPBXboFtPDMMgMfRMLJ+P1NSJeDweAiuX2nmKR43F8vkb129YgxTViI+5BOutZfi/WYb6q9F5F6e84jO8s2cSHzQcsWAtHDsAqfJHEolEto3VtpOdpmbmwyiKgnfCJCyvH+3m+zG+02Hs5Qh/gNhH7zQpK96mE4mTTkWa/SzWulWUntcfZeIooj37IlVXwIY1eI7si9i4Fmnc/8fy+TAvHY7L5aLk3f+157VdemKWliG9/xZ8+gEBzd5tZiycl7dJJnXEMVmZ0imjkT+YQ/LNFykOVeFetRyrrO3e2/+XO5EkCZckIX++kPgbL+CWJURMQz+6P2ZJKbExl6CvScHDL9l6F5YgtMbnIFVTjeX1E5+1GPdpZxG4bgKJhfPwznwQq2Ir+hP/zMow1nxDvN8g5A/eIvXxu5QsmY9UXYG5ZRPmqb/EaF9O9Jm5sM6CYwdAsKDRAHQIemBhJ67L5GrOkDdD3Nw8WrnJ8HZVVLctaz8+URb99c0Y7cuJX/IbjO90tDETsHr2IZVKYbTpiLRpHaZp4vP5MFq3Q6r8Eal95ybrFUWheMIw5FefxvxxK9qYCZgPvJi36Tx822MkTxiMLAlc99vJ2s2tm/M2/CeG2lkerZVf4vf7SZV3tzNO5CRqs44vw3jgpSZlSUf0tcn1/Wr8fj9CCIqLi3G164jYuBZZljFatUVs34po2wGRtiUYDJI6qh8ipsE3X9qh6Tdf4fV6sTp1tes3rMnLXGm0bmfL7NoTs6QUY+WXeL1eFEVB79wNed3qPO+0O/anjhto2//WywQCAczSMoiEcLvd0LYToqoC0a6TnZ+sYRK7Je9TOH5Io3NQ9PbLBC8fCZ8vItGxK5EZz1IwZgJ1D7+CLATS9i12H0c1WPI+ZodyzJXL8Hq9SB26YJa0QlrxBVaHcuRpU/KT5k04PS8qOTQJbJkE3nsD5cfN9qKyJKc9rqve47o9dkocr50SB0+D4q5PlyMkCd9H83Bt+G7/qdy2E9r5l+H549X1J2RoDyyvn+Sp9qs6zI5dUE48ldTgEcQHnY5Yu8rOaNtEPVPvofKDdRS/9Dj+6TcgqivQ62qJROq3WiaOG4j4ZAHi8pHoZ/+PnQxvy8a8C9ho09HO8rhhDbIsI7QIRv8h+HseRYvzLkF8E6Hg2tsRJwxuUpaUiViOOh7rlF9SsWQ7ydHj0dOkVRQFo2NXWL0CEQlnbTF690P75XiUD/+F6HVM1uMqipIdzIQQeWlZszJ/WGcndj9+EIqioF0/HbOkFbz5Uh7hd8f+VI8+tv2A3LGrPZB8/J6dV7qsLWLDdwghbL3PGkdp3+ORF67D+9hsArc+xI6FGxudg8o5KzBHnE/JdeNQPv0Qohqh9ECRmnA68ifvYwwdiVRdYdsY0zB6HoWiKHaYnZ4iiZiGcfJIioqKCNxqJ84rGTbqZ6ftabyIlc3PfOCgrl9N0ct/JdW+HL1NB4ySMswWLbHcHpvI6RQ8dogt5S9gmSZCCyHtqELZtgnXd98gb920y2yWP3vh6oqpuBfOIzHzIYoKC+38w1oNNcuWkDrxFNRnHyLWbxCp5+YR2rzefkvE5vX43nuTWP+Tm64/9SwqX7MXNFzLlmDefAWSx5M9F+4vPiJ23qVw3qW4F83HAKzaHciSlG2jl7VFpD26AAIv/ZXaG+5Gm/MVGuCZNZPw/beidDuCVBOy1PfeQF80n9TEawml29f+7T5cA89AHz4GIiF70W39GgLvvUGk/xBSz82jGlAXzceccgHK1HvQYxrWhjW4WrZE69IDsS7tfXOuK0kLkxg+BrFtM/5/PEVkwhRqR56H/MN63Pf8nsTid3G3aLHX9uvdjrQHkq+/QHW5iHXuhvhkAa5nHiD5i5PR73+eynRfpyaPhW5HIIaOanQO5GgY7dKr0cZMQKquxDPj9yRWr4DRF2CtNdF/WI9UtR3TspBlGU/GlrGXI/+w3s7lvWFNvY1f1iBVV+Ke8Xt2vD+H4hYt8gahPY5fG24n9Hq9Pzsu/29AJt9Uw3xOoVDInn96vdTW1qLrun1B6ToFBQXZHFa7qgdwu90UNMjWmMndBHbOrHg8TmFmAMmEmuEwlmVlj9V1nVAolA1H/X4/Pp9vl7LC4XD2PcGZ9pk6v9+Ppmm0SF94uTpn8njF43EikQgtW7bM9oksy436KiMz44Uy+asURcHv9zdKzL6n9uu6Tk1NDS1btkQIQU1NDW63O+/c5Pa1ZVlN1sfj8axusiwTCASQZZmamhosy8rb3ldYWGi3L2kDM+ciLVmAdPMVtGjRokk5e5qAP5FI7Ho/sENgBw72DrErbyYyof71Leqi+ZiXjcDtdv+s++UOgR04OEDI9bK5Ucm+QkMCK06XO3Cw75D7IrkDAWczgwMHhzAcAjtw8J9CYMtJpePAwaHtgXf1QmYHDhwcPDTFzUYE1nW9Wb7I2IGD/3Y0fKl6kwROpVLN/p2oDhz8N3pfwzAaOVcJaLRxNpl03lzgwEFzIm8ymcw+T559rYoQKQn4MnfxKvNlMplE13VM03QWtxw4OMCwLCtL3MxjrZIk5b0XyeVSaxXLsl6wLKu/ZVm5zEaWZXRdR9d1LMtySOzAwUGAECJLXFmW80LoYDC4Xqiqqno8nn/Lstw1d1dEhrSmaTor0w4cHEQCZ0icGz67XGpNt26Hva2YppkUQgyTJOkz0zRbZR+Szom3nUUtBw4OPokzUFV1R8eOnd+XJGm9yGxi6NWrd1koVPespmnH6LreAuc5aQcOmhOJdVVVawKB4PpWrcrWSJK0Hrjv/wYAPllHpHSNE/wAAAAASUVORK5CYII=' |
DATA = {
"website": None,
"myspace_name": None,
"last_name": "Bizness",
"reposts_count": 0,
"public_favorites_count": 0,
"followings_count": 2,
"full_name": "Nonya Bizness",
"id": 12345,
"city": "Los Angeles",
"first_name": "Nonya",
"track_count": 123,
"playlist_count": 0,
"discogs_name": None,
"followers_count": 54321,
"online": False,
"username": "some podcast",
"description": None,
"kind": "user",
"last_modified": "2016/09/29 05:31:52 +0000",
"website_title": None,
"permalink_url": "http://soundcloud.com/some-podcast",
"permalink": "some-podcast",
"country": "United States",
"uri": "https://api.soundcloud.com/users/12345",
"avatar_url": "https://i1.sndcdn.com/avatars-000067787890-onwv2r-large.jpg",
"plan": "Pro Plus"
}
| data = {'website': None, 'myspace_name': None, 'last_name': 'Bizness', 'reposts_count': 0, 'public_favorites_count': 0, 'followings_count': 2, 'full_name': 'Nonya Bizness', 'id': 12345, 'city': 'Los Angeles', 'first_name': 'Nonya', 'track_count': 123, 'playlist_count': 0, 'discogs_name': None, 'followers_count': 54321, 'online': False, 'username': 'some podcast', 'description': None, 'kind': 'user', 'last_modified': '2016/09/29 05:31:52 +0000', 'website_title': None, 'permalink_url': 'http://soundcloud.com/some-podcast', 'permalink': 'some-podcast', 'country': 'United States', 'uri': 'https://api.soundcloud.com/users/12345', 'avatar_url': 'https://i1.sndcdn.com/avatars-000067787890-onwv2r-large.jpg', 'plan': 'Pro Plus'} |
# parsetab.py
# This file is automatically generated. Do not edit.
# pylint: disable=W,C,R
_tabversion = '3.10'
_lr_method = 'LALR'
_lr_signature = 'leftpuntobipuntoleftcomarightigualleftcor1cor2leftmasmenosleftasteriscodivporcentajeleftpotrightumenosumasleftpar1par2leftt_orleftt_andleftdiferenteleftmayormenormayorimenorirightt_notasterisco bipunto char coma cor1 cor2 decimal diferente diferentede div entero id igual mas mayor mayori menor menori menos par1 par2 porcentaje pot punto pyc string t_abs t_acos t_acosd t_acosh t_add t_all t_alter t_and t_as t_asc t_asin t_asind t_asinh t_atan t_atan2 t_atan2d t_atand t_atanh t_avg t_bigint t_bool t_boolean t_by t_cbrt t_ceil t_ceiling t_character t_charn t_check t_column t_constraint t_convert t_cos t_cosd t_cosh t_cot t_cotd t_count t_create t_current t_current_user t_database t_databases t_date t_decimal t_decode t_default t_degrees t_delete t_desc t_distinct t_div t_double t_drop t_encode t_enum t_exists t_exp t_factorial t_false t_first t_floor t_foreign t_from t_full t_gcd t_get_byte t_group t_having t_if t_inherits t_inner t_insert t_integer t_into t_join t_key t_last t_left t_length t_like t_limit t_ln t_log t_max t_md5 t_min t_min_scale t_mod t_mode t_money t_natural t_not t_null t_nulls t_numeric t_of t_offset t_on t_only t_or t_order t_outer t_owner t_pi t_power t_precision t_primary t_radians t_random t_real t_references t_rename t_replace t_returning t_right t_round t_scale t_select t_session_user t_set t_set_byte t_setseed t_sha256 t_show t_sign t_sin t_sind t_sinh t_smallint t_sqrt t_substr t_substring t_sum t_table t_tan t_tand t_tanh t_text t_to t_trim t_trim_scale t_true t_trunc t_type t_unique t_update t_use t_using t_values t_varchar t_varying t_where t_width_bucketSQL : Sentencias_SQLSQL : emptySentencias_SQL : Sentencias_SQL Sentencia_SQLSentencias_SQL : Sentencia_SQLSentencia_SQL : Sentencias_DMLSentencia_SQL : Sentencias_DDLSentencias_DML : t_select Lista_EXP Select_SQL Condiciones GRP ORD pyc\n | t_select asterisco Select_SQL Condiciones GRP ORD pyc\n | t_insert t_into id Insert_SQL pyc\n | t_update id t_set Lista_EXP Condiciones1 pyc\n | t_delete t_from id Condiciones1 pyc\n | t_use id pycSelect_SQL : t_from Table_ExpressionSelect_SQL : emptyTable_Expression : Alias_Tabla\n | SubqueriesAlias_Tabla : Lista_ID\n | Lista_AliasSubqueries : par1 t_select par2Insert_SQL : par1 Lista_ID par2 t_values par1 Lista_EXP par2Insert_SQL : t_values par1 Lista_EXP par2Condiciones : t_where EXP\n | emptyCondiciones1 : t_where EXP\n | emptyGRP : t_group t_by Lista_ID\n | t_group t_by Lista_ID HV\n | emptyHV : t_having EXPORD : t_order t_by LSORT\n | t_order t_by LSORT LMT\n | emptyLSORT : LSORT coma SORT\n | SORTSORT : EXP AD NFL\n | EXP AD\n | EXPAD : t_asc\n | t_descNFL : t_nulls t_first\n | t_nulls t_lastLMT : t_limit NAL t_offset entero\n | t_limit NAL\n | t_offset entero NAL : entero\n | t_all Sentencias_DDL : t_show t_databases Show_DB_Like_Char pyc\n | Enum_Type\n | t_drop Drop pyc\n | t_alter Alter pyc\n | t_create Create pycShow_DB_Like_Char : t_like char \n | empty Enum_Type : t_create t_type id t_as t_enum par1 Lista_Enum par2 pycDrop : t_database DropDB id\n | t_table id DropDB : t_if t_exists\n | emptyAlter : t_database id AlterDB\n | t_table id AlterTB AlterDB : t_rename t_to id\n | t_owner t_to SesionDB SesionDB : id\n | t_current_user\n | t_session_user AlterTB : t_add Add_Opc\n | t_drop Drop_Opc\n | t_alter t_column Alter_Column\n | t_rename t_column id t_to id Add_Opc : t_column id Tipo\n | Constraint_AlterTB t_foreign t_key par1 Lista_ID par2 t_references id par1 Lista_ID par2\n | Constraint_AlterTB t_unique par1 id par2\n | Constraint_AlterTB t_check EXP Constraint_AlterTB : t_constraint id\n | empty Drop_Opc : t_column id\n | t_constraint id Alter_Column : id t_set t_not t_null\n | Alter_Columns Alter_Columns : Alter_Columns coma Alter_Column1\n | Alter_Column1Alter_Column1 : id t_type t_varchar par1 entero par2\n | t_alter t_column id t_type t_varchar par1 entero par2Create : CreateDBCreate : CreateTB CreateDB : OrReplace_CreateDB t_database IfNotExist_CreateDB id Sesion OrReplace_CreateDB : t_or t_replace\n | empty IfNotExist_CreateDB : t_if t_not t_exists\n | empty Sesion : t_owner Op_Sesion Sesion_mode\n | t_mode Op_Mode\n | empty Op_Sesion : igual char\n | char Sesion_mode : t_mode Op_Mode\n | empty Op_Mode : igual entero\n | entero CreateTB : t_table id par1 Columnas par2 Inherits Inherits : t_inherits par1 id par2\n | empty Columnas : Columnas coma Columna\n | Columna Columna : id Tipo Cond_CreateTB\n | Constraint Cond_CreateTB : Constraint_CreateTB t_default id Cond_CreateTB\n | Constraint_CreateTB t_not t_null Cond_CreateTB\n | Constraint_CreateTB t_null Cond_CreateTB\n | Constraint_CreateTB t_unique Cond_CreateTB\n | Constraint_CreateTB t_check par1 EXP par2 Cond_CreateTB\n | Constraint_CreateTB t_primary t_key Cond_CreateTB\n | Constraint_CreateTB t_references id Cond_CreateTB\n | emptyConstraint_CreateTB : t_constraint id\n | empty Constraint : Constraint_CreateTB t_unique par1 Lista_ID par2\n | Constraint_CreateTB t_check par1 EXP par2\n | Constraint_CreateTB t_primary t_key par1 Lista_ID par2\n | Constraint_CreateTB t_foreign t_key par1 Lista_ID par2 t_references id par1 Lista_ID par2\n | empty Tipo : t_smallint\n | t_integer\n | t_bigint\n | t_decimal\n | t_numeric par1 entero par2\n | t_real\n | t_double t_precision\n | t_money\n | t_character t_varying par1 entero par2\n | t_varchar par1 entero par2\n | t_character par1 entero par2\n | t_charn par1 entero par2\n | t_text\n | t_boolean\n | t_date\n | id Valor : decimal\n | entero\n | string\n | char\n | t_true\n | t_falseValor : idempty :EXP : EXP mas EXP\n | EXP menos EXP\n | EXP asterisco EXP\n | EXP div EXP\n | EXP pot EXP\n | EXP porcentaje EXPEXP : par1 EXP par2EXP : id par1 Lista_EXP par2EXP : EXP mayor EXP\n | EXP mayori EXP\n | EXP menor EXP\n | EXP menori EXP\n | EXP igual EXP\n | EXP diferente EXP\n | EXP diferentede EXPEXP : EXP t_and EXP\n | EXP t_or EXP\n EXP : mas EXP %prec umas\n | menos EXP %prec umenos\n | t_not EXPEXP : ValorEXP : id punto idEXP : EXP t_as EXPEXP : t_avg par1 EXP par2\n | t_sum par1 EXP par2\n | t_count par1 EXP par2\n | t_count par1 asterisco par2\n | t_max par1 EXP par2\n | t_min par1 EXP par2EXP : t_abs par1 EXP par2\n | t_cbrt par1 EXP par2\n | t_ceil par1 EXP par2\n | t_ceiling par1 EXP par2\n | t_degrees par1 EXP par2\n | t_exp par1 EXP par2\n | t_factorial par1 EXP par2\n | t_floor par1 EXP par2\n | t_gcd par1 Lista_EXP par2\n | t_ln par1 EXP par2\n | t_log par1 EXP par2\n | t_pi par1 par2\n | t_radians par1 EXP par2\n | t_round par1 EXP par2\n | t_min_scale par1 EXP par2\n | t_scale par1 EXP par2\n | t_sign par1 EXP par2\n | t_sqrt par1 EXP par2\n | t_trim_scale par1 EXP par2\n | t_trunc par1 EXP par2\n | t_width_bucket par1 Lista_EXP par2\n | t_random par1 par2\n | t_setseed par1 EXP par2 EXP : t_div par1 EXP coma EXP par2\n | t_mod par1 EXP coma EXP par2\n | t_power par1 EXP coma EXP par2 EXP : t_acos par1 EXP par2\n | t_acosd par1 EXP par2\n | t_asin par1 EXP par2\n | t_asind par1 EXP par2\n | t_atan par1 EXP par2\n | t_atand par1 EXP par2\n | t_cos par1 EXP par2\n | t_cosd par1 EXP par2\n | t_cot par1 EXP par2\n | t_cotd par1 EXP par2\n | t_sin par1 EXP par2\n | t_sind par1 EXP par2\n | t_tan par1 EXP par2\n | t_tand par1 EXP par2 EXP : t_atan2 par1 EXP coma EXP par2\n | t_atan2d par1 EXP coma EXP par2 EXP : t_length par1 id par2\n | t_substring par1 char coma entero coma entero par2\n | t_trim par1 char par2\n | t_md5 par1 char par2\n | t_sha256 par1 par2\n | t_substr par1 par2\n | t_get_byte par1 par2\n | t_set_byte par1 par2\n | t_convert par1 EXP t_as Tipo par2\n | t_encode par1 par2\n | t_decode par1 par2 Lista_ID : Lista_ID coma id\n | id Lista_Enum : Lista_Enum coma char\n | char Lista_EXP : Lista_EXP coma EXP\n | EXP Lista_Alias : Lista_Alias coma Nombre_Alias\n | Nombre_Alias Nombre_Alias : id id'
_lr_action_items = {'$end':([0,1,2,3,4,5,6,13,17,198,202,207,210,313,391,396,453,487,490,593,],[-145,0,-1,-2,-4,-5,-6,-48,-3,-12,-49,-50,-51,-47,-9,-11,-10,-7,-8,-54,]),'t_select':([0,2,4,5,6,13,17,198,202,207,210,224,313,391,396,453,487,490,593,],[7,7,-4,-5,-6,-48,-3,-12,-49,-50,-51,336,-47,-9,-11,-10,-7,-8,-54,]),'t_insert':([0,2,4,5,6,13,17,198,202,207,210,313,391,396,453,487,490,593,],[8,8,-4,-5,-6,-48,-3,-12,-49,-50,-51,-47,-9,-11,-10,-7,-8,-54,]),'t_update':([0,2,4,5,6,13,17,198,202,207,210,313,391,396,453,487,490,593,],[9,9,-4,-5,-6,-48,-3,-12,-49,-50,-51,-47,-9,-11,-10,-7,-8,-54,]),'t_delete':([0,2,4,5,6,13,17,198,202,207,210,313,391,396,453,487,490,593,],[10,10,-4,-5,-6,-48,-3,-12,-49,-50,-51,-47,-9,-11,-10,-7,-8,-54,]),'t_use':([0,2,4,5,6,13,17,198,202,207,210,313,391,396,453,487,490,593,],[11,11,-4,-5,-6,-48,-3,-12,-49,-50,-51,-47,-9,-11,-10,-7,-8,-54,]),'t_show':([0,2,4,5,6,13,17,198,202,207,210,313,391,396,453,487,490,593,],[12,12,-4,-5,-6,-48,-3,-12,-49,-50,-51,-47,-9,-11,-10,-7,-8,-54,]),'t_drop':([0,2,4,5,6,13,17,198,202,207,209,210,313,391,396,453,487,490,593,],[14,14,-4,-5,-6,-48,-3,-12,-49,-50,322,-51,-47,-9,-11,-10,-7,-8,-54,]),'t_alter':([0,2,4,5,6,13,17,198,202,207,209,210,313,391,396,408,453,487,490,513,593,],[15,15,-4,-5,-6,-48,-3,-12,-49,-50,323,-51,-47,-9,-11,466,-10,-7,-8,466,-54,]),'t_create':([0,2,4,5,6,13,17,198,202,207,210,313,391,396,453,487,490,593,],[16,16,-4,-5,-6,-48,-3,-12,-49,-50,-51,-47,-9,-11,-10,-7,-8,-54,]),'asterisco':([7,20,24,26,76,77,87,88,89,90,131,132,133,136,139,218,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,246,247,248,249,251,252,253,254,255,256,257,258,259,260,262,263,264,265,266,267,268,269,270,271,272,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,299,300,301,302,303,304,305,333,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,364,365,366,370,371,372,373,374,375,376,377,378,379,380,381,382,383,386,388,389,397,429,430,431,432,433,450,491,492,493,494,495,497,509,536,570,580,581,622,],[19,117,-144,-166,-141,-139,-138,-140,-142,-143,-163,-164,117,-165,250,117,117,117,-148,-149,-150,-151,-154,-155,-156,-157,117,-159,117,-161,-162,117,-152,-167,117,117,117,117,117,117,117,117,117,117,117,117,117,117,117,-186,117,117,117,117,117,117,117,117,-196,117,117,117,117,117,117,117,117,117,117,117,117,117,117,117,117,117,117,117,117,-221,-222,-223,-224,117,-226,-227,117,-153,-169,-170,-171,-172,-173,-174,-175,-176,-177,-178,-179,-180,-181,-182,-183,-184,-185,-187,-188,-189,-190,-191,-192,-193,-194,-195,-197,-201,-202,-203,-204,-205,-206,-207,-208,-209,-210,-211,-212,-213,-214,-217,-219,-220,117,117,117,117,117,117,-144,-198,-199,-200,-215,-216,-225,117,117,117,117,-218,117,]),'par1':([7,21,22,23,24,25,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,78,79,80,81,82,83,84,85,86,111,112,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,134,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,154,155,156,157,158,159,160,161,162,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,192,195,196,213,216,308,311,367,368,369,384,385,390,394,410,440,444,445,446,450,461,462,482,483,488,500,504,507,527,531,532,533,538,545,550,565,574,600,618,637,640,],[23,23,23,23,134,23,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,23,224,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,307,23,329,23,394,23,23,23,23,23,23,23,23,472,498,501,502,503,134,508,23,530,531,23,541,545,546,568,23,571,572,23,23,592,600,23,23,632,641,643,]),'id':([7,9,11,21,22,23,25,91,93,97,98,100,101,103,107,111,112,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,134,135,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,154,155,156,157,158,159,160,161,162,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,192,196,203,205,212,216,225,307,311,316,326,328,329,334,335,367,368,369,384,385,390,394,398,399,401,403,406,407,408,409,413,419,423,426,459,462,477,481,488,508,510,513,514,530,531,538,545,546,561,567,568,571,572,574,600,631,635,641,643,],[24,92,94,24,24,24,24,195,197,-145,206,208,209,211,213,24,225,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,246,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,295,24,24,315,-58,-145,24,337,393,24,-57,411,-90,413,424,426,24,24,24,24,24,450,24,454,456,459,463,464,465,468,471,478,486,393,337,478,24,-89,413,24,547,548,552,553,393,24,24,24,393,596,602,603,393,393,24,24,637,640,393,3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_lr_action = {}
for _k, _v in _lr_action_items.items():
for _x,_y in zip(_v[0],_v[1]):
if not _x in _lr_action: _lr_action[_x] = {}
_lr_action[_x][_k] = _y
del _lr_action_items
_lr_goto_items = {'SQL':([0,],[1,]),'Sentencias_SQL':([0,],[2,]),'empty':([0,16,18,19,95,97,110,114,197,212,215,227,309,321,329,330,338,411,479,480,481,517,563,564,596,597,601,602,634,],[3,109,113,113,201,205,217,217,312,328,332,332,312,404,418,422,422,476,525,528,418,558,525,525,525,525,525,525,525,]),'Sentencia_SQL':([0,2,],[4,17,]),'Sentencias_DML':([0,2,],[5,5,]),'Sentencias_DDL':([0,2,],[6,6,]),'Enum_Type':([0,2,],[13,13,]),'Lista_EXP':([7,134,150,162,196,394,545,],[18,245,261,273,309,452,587,]),'EXP':([7,21,22,23,25,111,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,134,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,154,155,156,157,158,159,160,161,162,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,192,196,216,311,367,368,369,384,385,390,394,462,488,531,538,545,574,600,],[20,131,132,133,136,218,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,20,247,248,249,251,252,253,254,255,256,257,258,259,260,20,262,263,265,266,267,268,269,270,271,272,20,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,303,20,333,397,429,430,431,432,433,243,20,509,536,570,580,20,536,622,]),'Valor':([7,21,22,23,25,111,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,134,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,154,155,156,157,158,159,160,161,162,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,192,196,216,311,367,368,369,384,385,390,394,462,488,531,538,545,574,600,],[26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,26,]),'Drop':([14,],[96,]),'Alter':([15,],[99,]),'Create':([16,],[102,]),'CreateDB':([16,],[104,]),'CreateTB':([16,],[105,]),'OrReplace_CreateDB':([16,],[106,]),'Select_SQL':([18,19,],[110,114,]),'Show_DB_Like_Char':([95,],[199,]),'DropDB':([97,],[203,]),'Condiciones':([110,114,],[215,227,]),'Table_Expression':([112,],[219,]),'Alias_Tabla':([112,],[220,]),'Subqueries':([112,],[221,]),'Lista_ID':([112,307,423,530,546,571,572,641,643,],[222,392,489,569,588,606,607,644,645,]),'Lista_Alias':([112,],[223,]),'Nombre_Alias':([112,335,],[226,425,]),'Insert_SQL':([195,],[306,]),'Condiciones1':([197,309,],[310,395,]),'AlterDB':([208,],[317,]),'AlterTB':([209,],[320,]),'IfNotExist_CreateDB':([212,],[326,]),'GRP':([215,227,],[330,338,]),'Add_Opc':([321,],[400,]),'Constraint_AlterTB':([321,],[402,]),'Drop_Opc':([322,],[405,]),'Columnas':([329,],[414,]),'Columna':([329,481,],[415,529,]),'Constraint':([329,481,],[416,416,]),'Constraint_CreateTB':([329,479,481,563,564,596,597,601,602,634,],[417,524,417,524,524,524,524,524,524,524,]),'ORD':([330,338,],[420,428,]),'Tipo':([390,413,459,],[435,479,506,]),'SesionDB':([399,],[455,]),'Alter_Column':([408,],[467,]),'Alter_Columns':([408,],[469,]),'Alter_Column1':([408,513,],[470,551,]),'Sesion':([411,],[473,]),'Lista_Enum':([472,],[515,]),'Op_Sesion':([474,],[517,]),'Op_Mode':([475,557,],[520,595,]),'Cond_CreateTB':([479,563,564,596,597,601,602,634,],[523,598,599,620,621,623,624,639,]),'Inherits':([480,],[526,]),'LSORT':([488,],[534,]),'SORT':([488,574,],[535,608,]),'HV':([489,],[537,]),'Sesion_mode':([517,],[556,]),'LMT':([534,],[573,]),'AD':([536,],[577,]),'NAL':([575,],[609,]),'NFL':([577,],[613,]),}
_lr_goto = {}
for _k, _v in _lr_goto_items.items():
for _x, _y in zip(_v[0], _v[1]):
if not _x in _lr_goto: _lr_goto[_x] = {}
_lr_goto[_x][_k] = _y
del _lr_goto_items
_lr_productions = [
("S' -> SQL","S'",1,None,None,None),
('SQL -> Sentencias_SQL','SQL',1,'p_sql','Gramatica.py',318),
('SQL -> empty','SQL',1,'p_sql2','Gramatica.py',322),
('Sentencias_SQL -> Sentencias_SQL Sentencia_SQL','Sentencias_SQL',2,'p_Sentencias_SQL_Sentencia_SQL','Gramatica.py',326),
('Sentencias_SQL -> Sentencia_SQL','Sentencias_SQL',1,'p_Sentencias_SQL','Gramatica.py',332),
('Sentencia_SQL -> Sentencias_DML','Sentencia_SQL',1,'p_Sentencia_SQL_DML','Gramatica.py',337),
('Sentencia_SQL -> Sentencias_DDL','Sentencia_SQL',1,'p_Sentencia_SQL_DDL','Gramatica.py',346),
('Sentencias_DML -> t_select Lista_EXP Select_SQL Condiciones GRP ORD pyc','Sentencias_DML',7,'p_Sentencias_DML','Gramatica.py',352),
('Sentencias_DML -> t_select asterisco Select_SQL Condiciones GRP ORD pyc','Sentencias_DML',7,'p_Sentencias_DML','Gramatica.py',353),
('Sentencias_DML -> t_insert t_into id Insert_SQL pyc','Sentencias_DML',5,'p_Sentencias_DML','Gramatica.py',354),
('Sentencias_DML -> t_update id t_set Lista_EXP Condiciones1 pyc','Sentencias_DML',6,'p_Sentencias_DML','Gramatica.py',355),
('Sentencias_DML -> t_delete t_from id Condiciones1 pyc','Sentencias_DML',5,'p_Sentencias_DML','Gramatica.py',356),
('Sentencias_DML -> t_use id pyc','Sentencias_DML',3,'p_Sentencias_DML','Gramatica.py',357),
('Select_SQL -> t_from Table_Expression','Select_SQL',2,'p_Select_SQL','Gramatica.py',376),
('Select_SQL -> empty','Select_SQL',1,'p_Select2_SQL','Gramatica.py',382),
('Table_Expression -> Alias_Tabla','Table_Expression',1,'p_Table_Expression','Gramatica.py',388),
('Table_Expression -> Subqueries','Table_Expression',1,'p_Table_Expression','Gramatica.py',389),
('Alias_Tabla -> Lista_ID','Alias_Tabla',1,'p_Alias_Tabla','Gramatica.py',395),
('Alias_Tabla -> Lista_Alias','Alias_Tabla',1,'p_Alias_Tabla','Gramatica.py',396),
('Subqueries -> par1 t_select par2','Subqueries',3,'p_Subqueries','Gramatica.py',401),
('Insert_SQL -> par1 Lista_ID par2 t_values par1 Lista_EXP par2','Insert_SQL',7,'p_Insert_SQL','Gramatica.py',406),
('Insert_SQL -> t_values par1 Lista_EXP par2','Insert_SQL',4,'p_Insert_SQL2','Gramatica.py',411),
('Condiciones -> t_where EXP','Condiciones',2,'p_Condiciones','Gramatica.py',416),
('Condiciones -> empty','Condiciones',1,'p_Condiciones','Gramatica.py',417),
('Condiciones1 -> t_where EXP','Condiciones1',2,'p_Condiciones1','Gramatica.py',426),
('Condiciones1 -> empty','Condiciones1',1,'p_Condiciones1','Gramatica.py',427),
('GRP -> t_group t_by Lista_ID','GRP',3,'p_GRP','Gramatica.py',438),
('GRP -> t_group t_by Lista_ID HV','GRP',4,'p_GRP','Gramatica.py',439),
('GRP -> empty','GRP',1,'p_GRP','Gramatica.py',440),
('HV -> t_having EXP','HV',2,'p_HV','Gramatica.py',447),
('ORD -> t_order t_by LSORT','ORD',3,'p_ORD','Gramatica.py',451),
('ORD -> t_order t_by LSORT LMT','ORD',4,'p_ORD','Gramatica.py',452),
('ORD -> empty','ORD',1,'p_ORD','Gramatica.py',453),
('LSORT -> LSORT coma SORT','LSORT',3,'p_L_SORT','Gramatica.py',461),
('LSORT -> SORT','LSORT',1,'p_L_SORT','Gramatica.py',462),
('SORT -> EXP AD NFL','SORT',3,'p_SORT','Gramatica.py',469),
('SORT -> EXP AD','SORT',2,'p_SORT','Gramatica.py',470),
('SORT -> EXP','SORT',1,'p_SORT','Gramatica.py',471),
('AD -> t_asc','AD',1,'p_AD','Gramatica.py',480),
('AD -> t_desc','AD',1,'p_AD','Gramatica.py',481),
('NFL -> t_nulls t_first','NFL',2,'p_NFL','Gramatica.py',486),
('NFL -> t_nulls t_last','NFL',2,'p_NFL','Gramatica.py',487),
('LMT -> t_limit NAL t_offset entero','LMT',4,'p_LMT','Gramatica.py',491),
('LMT -> t_limit NAL','LMT',2,'p_LMT','Gramatica.py',492),
('LMT -> t_offset entero','LMT',2,'p_LMT','Gramatica.py',493),
('NAL -> entero','NAL',1,'p_NAL','Gramatica.py',500),
('NAL -> t_all','NAL',1,'p_NAL','Gramatica.py',501),
('Sentencias_DDL -> t_show t_databases Show_DB_Like_Char pyc','Sentencias_DDL',4,'p_Sentencias_DDL','Gramatica.py',506),
('Sentencias_DDL -> Enum_Type','Sentencias_DDL',1,'p_Sentencias_DDL','Gramatica.py',507),
('Sentencias_DDL -> t_drop Drop pyc','Sentencias_DDL',3,'p_Sentencias_DDL','Gramatica.py',508),
('Sentencias_DDL -> t_alter Alter pyc','Sentencias_DDL',3,'p_Sentencias_DDL','Gramatica.py',509),
('Sentencias_DDL -> t_create Create pyc','Sentencias_DDL',3,'p_Sentencias_DDL','Gramatica.py',510),
('Show_DB_Like_Char -> t_like char','Show_DB_Like_Char',2,'p_show_db_like_regex','Gramatica.py',530),
('Show_DB_Like_Char -> empty','Show_DB_Like_Char',1,'p_show_db_like_regex','Gramatica.py',531),
('Enum_Type -> t_create t_type id t_as t_enum par1 Lista_Enum par2 pyc','Enum_Type',9,'p_Enum_Type','Gramatica.py',540),
('Drop -> t_database DropDB id','Drop',3,'p_Drop','Gramatica.py',545),
('Drop -> t_table id','Drop',2,'p_Drop','Gramatica.py',546),
('DropDB -> t_if t_exists','DropDB',2,'p_DropDB','Gramatica.py',555),
('DropDB -> empty','DropDB',1,'p_DropDB','Gramatica.py',556),
('Alter -> t_database id AlterDB','Alter',3,'p_Alter','Gramatica.py',565),
('Alter -> t_table id AlterTB','Alter',3,'p_Alter','Gramatica.py',566),
('AlterDB -> t_rename t_to id','AlterDB',3,'p_AlterDB','Gramatica.py',575),
('AlterDB -> t_owner t_to SesionDB','AlterDB',3,'p_AlterDB','Gramatica.py',576),
('SesionDB -> id','SesionDB',1,'p_SesionDB','Gramatica.py',585),
('SesionDB -> t_current_user','SesionDB',1,'p_SesionDB','Gramatica.py',586),
('SesionDB -> t_session_user','SesionDB',1,'p_SesionDB','Gramatica.py',587),
('AlterTB -> t_add Add_Opc','AlterTB',2,'p_AlterTB','Gramatica.py',597),
('AlterTB -> t_drop Drop_Opc','AlterTB',2,'p_AlterTB','Gramatica.py',598),
('AlterTB -> t_alter t_column Alter_Column','AlterTB',3,'p_AlterTB','Gramatica.py',599),
('AlterTB -> t_rename t_column id t_to id','AlterTB',5,'p_AlterTB','Gramatica.py',600),
('Add_Opc -> t_column id Tipo','Add_Opc',3,'p_Add_Opc','Gramatica.py',615),
('Add_Opc -> Constraint_AlterTB t_foreign t_key par1 Lista_ID par2 t_references id par1 Lista_ID par2','Add_Opc',11,'p_Add_Opc','Gramatica.py',616),
('Add_Opc -> Constraint_AlterTB t_unique par1 id par2','Add_Opc',5,'p_Add_Opc','Gramatica.py',617),
('Add_Opc -> Constraint_AlterTB t_check EXP','Add_Opc',3,'p_Add_Opc','Gramatica.py',618),
('Constraint_AlterTB -> t_constraint id','Constraint_AlterTB',2,'p_Constraint_AlterTB','Gramatica.py',633),
('Constraint_AlterTB -> empty','Constraint_AlterTB',1,'p_Constraint_AlterTB','Gramatica.py',634),
('Drop_Opc -> t_column id','Drop_Opc',2,'p_Drop_Opc','Gramatica.py',643),
('Drop_Opc -> t_constraint id','Drop_Opc',2,'p_Drop_Opc','Gramatica.py',644),
('Alter_Column -> id t_set t_not t_null','Alter_Column',4,'p_Alter_Column','Gramatica.py',653),
('Alter_Column -> Alter_Columns','Alter_Column',1,'p_Alter_Column','Gramatica.py',654),
('Alter_Columns -> Alter_Columns coma Alter_Column1','Alter_Columns',3,'p_Alter_Columns','Gramatica.py',663),
('Alter_Columns -> Alter_Column1','Alter_Columns',1,'p_Alter_Columns','Gramatica.py',664),
('Alter_Column1 -> id t_type t_varchar par1 entero par2','Alter_Column1',6,'p_Alter_Colum1','Gramatica.py',674),
('Alter_Column1 -> t_alter t_column id t_type t_varchar par1 entero par2','Alter_Column1',8,'p_Alter_Colum1','Gramatica.py',675),
('Create -> CreateDB','Create',1,'p_Create','Gramatica.py',690),
('Create -> CreateTB','Create',1,'p_Create1','Gramatica.py',695),
('CreateDB -> OrReplace_CreateDB t_database IfNotExist_CreateDB id Sesion','CreateDB',5,'p_CreateDB','Gramatica.py',700),
('OrReplace_CreateDB -> t_or t_replace','OrReplace_CreateDB',2,'p_CreateDB_or_replace','Gramatica.py',705),
('OrReplace_CreateDB -> empty','OrReplace_CreateDB',1,'p_CreateDB_or_replace','Gramatica.py',706),
('IfNotExist_CreateDB -> t_if t_not t_exists','IfNotExist_CreateDB',3,'p_IfNotExist_CreateDB','Gramatica.py',715),
('IfNotExist_CreateDB -> empty','IfNotExist_CreateDB',1,'p_IfNotExist_CreateDB','Gramatica.py',716),
('Sesion -> t_owner Op_Sesion Sesion_mode','Sesion',3,'p_Sesion','Gramatica.py',725),
('Sesion -> t_mode Op_Mode','Sesion',2,'p_Sesion','Gramatica.py',726),
('Sesion -> empty','Sesion',1,'p_Sesion','Gramatica.py',727),
('Op_Sesion -> igual char','Op_Sesion',2,'p_Op_Sesion','Gramatica.py',739),
('Op_Sesion -> char','Op_Sesion',1,'p_Op_Sesion','Gramatica.py',740),
('Sesion_mode -> t_mode Op_Mode','Sesion_mode',2,'p_Sesion_mode','Gramatica.py',749),
('Sesion_mode -> empty','Sesion_mode',1,'p_Sesion_mode','Gramatica.py',750),
('Op_Mode -> igual entero','Op_Mode',2,'p_Op_Mode','Gramatica.py',759),
('Op_Mode -> entero','Op_Mode',1,'p_Op_Mode','Gramatica.py',760),
('CreateTB -> t_table id par1 Columnas par2 Inherits','CreateTB',6,'p_CreateTB','Gramatica.py',769),
('Inherits -> t_inherits par1 id par2','Inherits',4,'p_Inherits','Gramatica.py',774),
('Inherits -> empty','Inherits',1,'p_Inherits','Gramatica.py',775),
('Columnas -> Columnas coma Columna','Columnas',3,'p_Columnas','Gramatica.py',784),
('Columnas -> Columna','Columnas',1,'p_Columnas','Gramatica.py',785),
('Columna -> id Tipo Cond_CreateTB','Columna',3,'p_Columna','Gramatica.py',795),
('Columna -> Constraint','Columna',1,'p_Columna','Gramatica.py',796),
('Cond_CreateTB -> Constraint_CreateTB t_default id Cond_CreateTB','Cond_CreateTB',4,'p_Cond_CreateTB','Gramatica.py',805),
('Cond_CreateTB -> Constraint_CreateTB t_not t_null Cond_CreateTB','Cond_CreateTB',4,'p_Cond_CreateTB','Gramatica.py',806),
('Cond_CreateTB -> Constraint_CreateTB t_null Cond_CreateTB','Cond_CreateTB',3,'p_Cond_CreateTB','Gramatica.py',807),
('Cond_CreateTB -> Constraint_CreateTB t_unique Cond_CreateTB','Cond_CreateTB',3,'p_Cond_CreateTB','Gramatica.py',808),
('Cond_CreateTB -> Constraint_CreateTB t_check par1 EXP par2 Cond_CreateTB','Cond_CreateTB',6,'p_Cond_CreateTB','Gramatica.py',809),
('Cond_CreateTB -> Constraint_CreateTB t_primary t_key Cond_CreateTB','Cond_CreateTB',4,'p_Cond_CreateTB','Gramatica.py',810),
('Cond_CreateTB -> Constraint_CreateTB t_references id Cond_CreateTB','Cond_CreateTB',4,'p_Cond_CreateTB','Gramatica.py',811),
('Cond_CreateTB -> empty','Cond_CreateTB',1,'p_Cond_CreateTB','Gramatica.py',812),
('Constraint_CreateTB -> t_constraint id','Constraint_CreateTB',2,'p_Constraint_CreateTB','Gramatica.py',846),
('Constraint_CreateTB -> empty','Constraint_CreateTB',1,'p_Constraint_CreateTB','Gramatica.py',847),
('Constraint -> Constraint_CreateTB t_unique par1 Lista_ID par2','Constraint',5,'p_Constraint','Gramatica.py',856),
('Constraint -> Constraint_CreateTB t_check par1 EXP par2','Constraint',5,'p_Constraint','Gramatica.py',857),
('Constraint -> Constraint_CreateTB t_primary t_key par1 Lista_ID par2','Constraint',6,'p_Constraint','Gramatica.py',858),
('Constraint -> Constraint_CreateTB t_foreign t_key par1 Lista_ID par2 t_references id par1 Lista_ID par2','Constraint',11,'p_Constraint','Gramatica.py',859),
('Constraint -> empty','Constraint',1,'p_Constraint','Gramatica.py',860),
('Tipo -> t_smallint','Tipo',1,'p_Tipo','Gramatica.py',878),
('Tipo -> t_integer','Tipo',1,'p_Tipo','Gramatica.py',879),
('Tipo -> t_bigint','Tipo',1,'p_Tipo','Gramatica.py',880),
('Tipo -> t_decimal','Tipo',1,'p_Tipo','Gramatica.py',881),
('Tipo -> t_numeric par1 entero par2','Tipo',4,'p_Tipo','Gramatica.py',882),
('Tipo -> t_real','Tipo',1,'p_Tipo','Gramatica.py',883),
('Tipo -> t_double t_precision','Tipo',2,'p_Tipo','Gramatica.py',884),
('Tipo -> t_money','Tipo',1,'p_Tipo','Gramatica.py',885),
('Tipo -> t_character t_varying par1 entero par2','Tipo',5,'p_Tipo','Gramatica.py',886),
('Tipo -> t_varchar par1 entero par2','Tipo',4,'p_Tipo','Gramatica.py',887),
('Tipo -> t_character par1 entero par2','Tipo',4,'p_Tipo','Gramatica.py',888),
('Tipo -> t_charn par1 entero par2','Tipo',4,'p_Tipo','Gramatica.py',889),
('Tipo -> t_text','Tipo',1,'p_Tipo','Gramatica.py',890),
('Tipo -> t_boolean','Tipo',1,'p_Tipo','Gramatica.py',891),
('Tipo -> t_date','Tipo',1,'p_Tipo','Gramatica.py',892),
('Tipo -> id','Tipo',1,'p_Tipo','Gramatica.py',893),
('Valor -> decimal','Valor',1,'p_Valor','Gramatica.py',978),
('Valor -> entero','Valor',1,'p_Valor','Gramatica.py',979),
('Valor -> string','Valor',1,'p_Valor','Gramatica.py',980),
('Valor -> char','Valor',1,'p_Valor','Gramatica.py',981),
('Valor -> t_true','Valor',1,'p_Valor','Gramatica.py',982),
('Valor -> t_false','Valor',1,'p_Valor','Gramatica.py',983),
('Valor -> id','Valor',1,'p_Valor2','Gramatica.py',989),
('empty -> <empty>','empty',0,'p_empty','Gramatica.py',994),
('EXP -> EXP mas EXP','EXP',3,'p_aritmeticas','Gramatica.py',1001),
('EXP -> EXP menos EXP','EXP',3,'p_aritmeticas','Gramatica.py',1002),
('EXP -> EXP asterisco EXP','EXP',3,'p_aritmeticas','Gramatica.py',1003),
('EXP -> EXP div EXP','EXP',3,'p_aritmeticas','Gramatica.py',1004),
('EXP -> EXP pot EXP','EXP',3,'p_aritmeticas','Gramatica.py',1005),
('EXP -> EXP porcentaje EXP','EXP',3,'p_aritmeticas','Gramatica.py',1006),
('EXP -> par1 EXP par2','EXP',3,'p_parentesis','Gramatica.py',1011),
('EXP -> id par1 Lista_EXP par2','EXP',4,'p_funciones','Gramatica.py',1017),
('EXP -> EXP mayor EXP','EXP',3,'p_relacionales','Gramatica.py',1024),
('EXP -> EXP mayori EXP','EXP',3,'p_relacionales','Gramatica.py',1025),
('EXP -> EXP menor EXP','EXP',3,'p_relacionales','Gramatica.py',1026),
('EXP -> EXP menori EXP','EXP',3,'p_relacionales','Gramatica.py',1027),
('EXP -> EXP igual EXP','EXP',3,'p_relacionales','Gramatica.py',1028),
('EXP -> EXP diferente EXP','EXP',3,'p_relacionales','Gramatica.py',1029),
('EXP -> EXP diferentede EXP','EXP',3,'p_relacionales','Gramatica.py',1030),
('EXP -> EXP t_and EXP','EXP',3,'p_logicos','Gramatica.py',1035),
('EXP -> EXP t_or EXP','EXP',3,'p_logicos','Gramatica.py',1036),
('EXP -> mas EXP','EXP',2,'p_unario','Gramatica.py',1042),
('EXP -> menos EXP','EXP',2,'p_unario','Gramatica.py',1043),
('EXP -> t_not EXP','EXP',2,'p_unario','Gramatica.py',1044),
('EXP -> Valor','EXP',1,'p_EXP_Valor','Gramatica.py',1053),
('EXP -> id punto id','EXP',3,'p_EXP_Indices','Gramatica.py',1058),
('EXP -> EXP t_as EXP','EXP',3,'p_EXP_IndicesAS','Gramatica.py',1064),
('EXP -> t_avg par1 EXP par2','EXP',4,'p_exp_agregacion','Gramatica.py',1071),
('EXP -> t_sum par1 EXP par2','EXP',4,'p_exp_agregacion','Gramatica.py',1072),
('EXP -> t_count par1 EXP par2','EXP',4,'p_exp_agregacion','Gramatica.py',1073),
('EXP -> t_count par1 asterisco par2','EXP',4,'p_exp_agregacion','Gramatica.py',1074),
('EXP -> t_max par1 EXP par2','EXP',4,'p_exp_agregacion','Gramatica.py',1075),
('EXP -> t_min par1 EXP par2','EXP',4,'p_exp_agregacion','Gramatica.py',1076),
('EXP -> t_abs par1 EXP par2','EXP',4,'p_funciones_matematicas','Gramatica.py',1081),
('EXP -> t_cbrt par1 EXP par2','EXP',4,'p_funciones_matematicas','Gramatica.py',1082),
('EXP -> t_ceil par1 EXP par2','EXP',4,'p_funciones_matematicas','Gramatica.py',1083),
('EXP -> t_ceiling par1 EXP par2','EXP',4,'p_funciones_matematicas','Gramatica.py',1084),
('EXP -> t_degrees par1 EXP par2','EXP',4,'p_funciones_matematicas','Gramatica.py',1085),
('EXP -> t_exp par1 EXP par2','EXP',4,'p_funciones_matematicas','Gramatica.py',1086),
('EXP -> t_factorial par1 EXP par2','EXP',4,'p_funciones_matematicas','Gramatica.py',1087),
('EXP -> t_floor par1 EXP par2','EXP',4,'p_funciones_matematicas','Gramatica.py',1088),
('EXP -> t_gcd par1 Lista_EXP par2','EXP',4,'p_funciones_matematicas','Gramatica.py',1089),
('EXP -> t_ln par1 EXP par2','EXP',4,'p_funciones_matematicas','Gramatica.py',1090),
('EXP -> t_log par1 EXP par2','EXP',4,'p_funciones_matematicas','Gramatica.py',1091),
('EXP -> t_pi par1 par2','EXP',3,'p_funciones_matematicas','Gramatica.py',1092),
('EXP -> t_radians par1 EXP par2','EXP',4,'p_funciones_matematicas','Gramatica.py',1093),
('EXP -> t_round par1 EXP par2','EXP',4,'p_funciones_matematicas','Gramatica.py',1094),
('EXP -> t_min_scale par1 EXP par2','EXP',4,'p_funciones_matematicas','Gramatica.py',1095),
('EXP -> t_scale par1 EXP par2','EXP',4,'p_funciones_matematicas','Gramatica.py',1096),
('EXP -> t_sign par1 EXP par2','EXP',4,'p_funciones_matematicas','Gramatica.py',1097),
('EXP -> t_sqrt par1 EXP par2','EXP',4,'p_funciones_matematicas','Gramatica.py',1098),
('EXP -> t_trim_scale par1 EXP par2','EXP',4,'p_funciones_matematicas','Gramatica.py',1099),
('EXP -> t_trunc par1 EXP par2','EXP',4,'p_funciones_matematicas','Gramatica.py',1100),
('EXP -> t_width_bucket par1 Lista_EXP par2','EXP',4,'p_funciones_matematicas','Gramatica.py',1101),
('EXP -> t_random par1 par2','EXP',3,'p_funciones_matematicas','Gramatica.py',1102),
('EXP -> t_setseed par1 EXP par2','EXP',4,'p_funciones_matematicas','Gramatica.py',1103),
('EXP -> t_div par1 EXP coma EXP par2','EXP',6,'p_funciones_matematicas2','Gramatica.py',1108),
('EXP -> t_mod par1 EXP coma EXP par2','EXP',6,'p_funciones_matematicas2','Gramatica.py',1109),
('EXP -> t_power par1 EXP coma EXP par2','EXP',6,'p_funciones_matematicas2','Gramatica.py',1110),
('EXP -> t_acos par1 EXP par2','EXP',4,'p_funciones_Trigonometricas','Gramatica.py',1115),
('EXP -> t_acosd par1 EXP par2','EXP',4,'p_funciones_Trigonometricas','Gramatica.py',1116),
('EXP -> t_asin par1 EXP par2','EXP',4,'p_funciones_Trigonometricas','Gramatica.py',1117),
('EXP -> t_asind par1 EXP par2','EXP',4,'p_funciones_Trigonometricas','Gramatica.py',1118),
('EXP -> t_atan par1 EXP par2','EXP',4,'p_funciones_Trigonometricas','Gramatica.py',1119),
('EXP -> t_atand par1 EXP par2','EXP',4,'p_funciones_Trigonometricas','Gramatica.py',1120),
('EXP -> t_cos par1 EXP par2','EXP',4,'p_funciones_Trigonometricas','Gramatica.py',1121),
('EXP -> t_cosd par1 EXP par2','EXP',4,'p_funciones_Trigonometricas','Gramatica.py',1122),
('EXP -> t_cot par1 EXP par2','EXP',4,'p_funciones_Trigonometricas','Gramatica.py',1123),
('EXP -> t_cotd par1 EXP par2','EXP',4,'p_funciones_Trigonometricas','Gramatica.py',1124),
('EXP -> t_sin par1 EXP par2','EXP',4,'p_funciones_Trigonometricas','Gramatica.py',1125),
('EXP -> t_sind par1 EXP par2','EXP',4,'p_funciones_Trigonometricas','Gramatica.py',1126),
('EXP -> t_tan par1 EXP par2','EXP',4,'p_funciones_Trigonometricas','Gramatica.py',1127),
('EXP -> t_tand par1 EXP par2','EXP',4,'p_funciones_Trigonometricas','Gramatica.py',1128),
('EXP -> t_atan2 par1 EXP coma EXP par2','EXP',6,'p_funciones_Trigonometricas1','Gramatica.py',1133),
('EXP -> t_atan2d par1 EXP coma EXP par2','EXP',6,'p_funciones_Trigonometricas1','Gramatica.py',1134),
('EXP -> t_length par1 id par2','EXP',4,'p_funciones_String_Binarias','Gramatica.py',1138),
('EXP -> t_substring par1 char coma entero coma entero par2','EXP',8,'p_funciones_String_Binarias','Gramatica.py',1139),
('EXP -> t_trim par1 char par2','EXP',4,'p_funciones_String_Binarias','Gramatica.py',1140),
('EXP -> t_md5 par1 char par2','EXP',4,'p_funciones_String_Binarias','Gramatica.py',1141),
('EXP -> t_sha256 par1 par2','EXP',3,'p_funciones_String_Binarias','Gramatica.py',1142),
('EXP -> t_substr par1 par2','EXP',3,'p_funciones_String_Binarias','Gramatica.py',1143),
('EXP -> t_get_byte par1 par2','EXP',3,'p_funciones_String_Binarias','Gramatica.py',1144),
('EXP -> t_set_byte par1 par2','EXP',3,'p_funciones_String_Binarias','Gramatica.py',1145),
('EXP -> t_convert par1 EXP t_as Tipo par2','EXP',6,'p_funciones_String_Binarias','Gramatica.py',1146),
('EXP -> t_encode par1 par2','EXP',3,'p_funciones_String_Binarias','Gramatica.py',1147),
('EXP -> t_decode par1 par2','EXP',3,'p_funciones_String_Binarias','Gramatica.py',1148),
('Lista_ID -> Lista_ID coma id','Lista_ID',3,'p_Lista_ID','Gramatica.py',1158),
('Lista_ID -> id','Lista_ID',1,'p_Lista_ID','Gramatica.py',1159),
('Lista_Enum -> Lista_Enum coma char','Lista_Enum',3,'p_Lista_Enum','Gramatica.py',1168),
('Lista_Enum -> char','Lista_Enum',1,'p_Lista_Enum','Gramatica.py',1169),
('Lista_EXP -> Lista_EXP coma EXP','Lista_EXP',3,'p_Lista_EXP','Gramatica.py',1178),
('Lista_EXP -> EXP','Lista_EXP',1,'p_Lista_EXP','Gramatica.py',1179),
('Lista_Alias -> Lista_Alias coma Nombre_Alias','Lista_Alias',3,'p_Lista_Alias','Gramatica.py',1194),
('Lista_Alias -> Nombre_Alias','Lista_Alias',1,'p_Lista_Alias','Gramatica.py',1195),
('Nombre_Alias -> id id','Nombre_Alias',2,'p_Nombre_Alias','Gramatica.py',1204),
]
| _tabversion = '3.10'
_lr_method = 'LALR'
_lr_signature = 'leftpuntobipuntoleftcomarightigualleftcor1cor2leftmasmenosleftasteriscodivporcentajeleftpotrightumenosumasleftpar1par2leftt_orleftt_andleftdiferenteleftmayormenormayorimenorirightt_notasterisco bipunto char coma cor1 cor2 decimal diferente diferentede div entero id igual mas mayor mayori menor menori menos par1 par2 porcentaje pot punto pyc string t_abs t_acos t_acosd t_acosh t_add t_all t_alter t_and t_as t_asc t_asin t_asind t_asinh t_atan t_atan2 t_atan2d t_atand t_atanh t_avg t_bigint t_bool t_boolean t_by t_cbrt t_ceil t_ceiling t_character t_charn t_check t_column t_constraint t_convert t_cos t_cosd t_cosh t_cot t_cotd t_count t_create t_current t_current_user t_database t_databases t_date t_decimal t_decode t_default t_degrees t_delete t_desc t_distinct t_div t_double t_drop t_encode t_enum t_exists t_exp t_factorial t_false t_first t_floor t_foreign t_from t_full t_gcd t_get_byte t_group t_having t_if t_inherits t_inner t_insert t_integer t_into t_join t_key t_last t_left t_length t_like t_limit t_ln t_log t_max t_md5 t_min t_min_scale t_mod t_mode t_money t_natural t_not t_null t_nulls t_numeric t_of t_offset t_on t_only t_or t_order t_outer t_owner t_pi t_power t_precision t_primary t_radians t_random t_real t_references t_rename t_replace t_returning t_right t_round t_scale t_select t_session_user t_set t_set_byte t_setseed t_sha256 t_show t_sign t_sin t_sind t_sinh t_smallint t_sqrt t_substr t_substring t_sum t_table t_tan t_tand t_tanh t_text t_to t_trim t_trim_scale t_true t_trunc t_type t_unique t_update t_use t_using t_values t_varchar t_varying t_where t_width_bucketSQL : Sentencias_SQLSQL : emptySentencias_SQL : Sentencias_SQL Sentencia_SQLSentencias_SQL : Sentencia_SQLSentencia_SQL : Sentencias_DMLSentencia_SQL : Sentencias_DDLSentencias_DML : t_select Lista_EXP Select_SQL Condiciones GRP ORD pyc\n | t_select asterisco Select_SQL Condiciones GRP ORD pyc\n | t_insert t_into id Insert_SQL pyc\n | t_update id t_set Lista_EXP Condiciones1 pyc\n | t_delete t_from id Condiciones1 pyc\n | t_use id pycSelect_SQL : t_from Table_ExpressionSelect_SQL : emptyTable_Expression : Alias_Tabla\n | SubqueriesAlias_Tabla : Lista_ID\n | Lista_AliasSubqueries : par1 t_select par2Insert_SQL : par1 Lista_ID par2 t_values par1 Lista_EXP par2Insert_SQL : t_values par1 Lista_EXP par2Condiciones : t_where EXP\n | emptyCondiciones1 : t_where EXP\n | emptyGRP : t_group t_by Lista_ID\n | t_group t_by Lista_ID HV\n | emptyHV : t_having EXPORD : t_order t_by LSORT\n | t_order t_by LSORT LMT\n | emptyLSORT : LSORT coma SORT\n | SORTSORT : EXP AD NFL\n | EXP AD\n | EXPAD : t_asc\n | t_descNFL : t_nulls t_first\n | t_nulls t_lastLMT : t_limit NAL t_offset entero\n | t_limit NAL\n | t_offset entero NAL : entero\n | t_all Sentencias_DDL : t_show t_databases Show_DB_Like_Char pyc\n | Enum_Type\n | t_drop Drop pyc\n | t_alter Alter pyc\n | t_create Create pycShow_DB_Like_Char : t_like char \n | empty Enum_Type : t_create t_type id t_as t_enum par1 Lista_Enum par2 pycDrop : t_database DropDB id\n | t_table id DropDB : t_if t_exists\n | emptyAlter : t_database id AlterDB\n | t_table id AlterTB AlterDB : t_rename t_to id\n | t_owner t_to SesionDB SesionDB : id\n | t_current_user\n | t_session_user AlterTB : t_add Add_Opc\n | t_drop Drop_Opc\n | t_alter t_column Alter_Column\n | t_rename t_column id t_to id Add_Opc : t_column id Tipo\n | Constraint_AlterTB t_foreign t_key par1 Lista_ID par2 t_references id par1 Lista_ID par2\n | Constraint_AlterTB t_unique par1 id par2\n | Constraint_AlterTB t_check EXP Constraint_AlterTB : t_constraint id\n | empty Drop_Opc : t_column id\n | t_constraint id Alter_Column : id t_set t_not t_null\n | Alter_Columns Alter_Columns : Alter_Columns coma Alter_Column1\n | Alter_Column1Alter_Column1 : id t_type t_varchar par1 entero par2\n | t_alter t_column id t_type t_varchar par1 entero par2Create : CreateDBCreate : CreateTB CreateDB : OrReplace_CreateDB t_database IfNotExist_CreateDB id Sesion OrReplace_CreateDB : t_or t_replace\n | empty IfNotExist_CreateDB : t_if t_not t_exists\n | empty Sesion : t_owner Op_Sesion Sesion_mode\n | t_mode Op_Mode\n | empty Op_Sesion : igual char\n | char Sesion_mode : t_mode Op_Mode\n | empty Op_Mode : igual entero\n | entero CreateTB : t_table id par1 Columnas par2 Inherits Inherits : t_inherits par1 id par2\n | empty Columnas : Columnas coma Columna\n | Columna Columna : id Tipo Cond_CreateTB\n | Constraint Cond_CreateTB : Constraint_CreateTB t_default id Cond_CreateTB\n | Constraint_CreateTB t_not t_null Cond_CreateTB\n | Constraint_CreateTB t_null Cond_CreateTB\n | Constraint_CreateTB t_unique Cond_CreateTB\n | Constraint_CreateTB t_check par1 EXP par2 Cond_CreateTB\n | Constraint_CreateTB t_primary t_key Cond_CreateTB\n | Constraint_CreateTB t_references id Cond_CreateTB\n | emptyConstraint_CreateTB : t_constraint id\n | empty Constraint : Constraint_CreateTB t_unique par1 Lista_ID par2\n | Constraint_CreateTB t_check par1 EXP par2\n | Constraint_CreateTB t_primary t_key par1 Lista_ID par2\n | Constraint_CreateTB t_foreign t_key par1 Lista_ID par2 t_references id par1 Lista_ID par2\n | empty Tipo : t_smallint\n | t_integer\n | t_bigint\n | t_decimal\n | t_numeric par1 entero par2\n | t_real\n | t_double t_precision\n | t_money\n | t_character t_varying par1 entero par2\n | t_varchar par1 entero par2\n | t_character par1 entero par2\n | t_charn par1 entero par2\n | t_text\n | t_boolean\n | t_date\n | id Valor : decimal\n | entero\n | string\n | char\n | t_true\n | t_falseValor : idempty :EXP : EXP mas EXP\n | EXP menos EXP\n | EXP asterisco EXP\n | EXP div EXP\n | EXP pot EXP\n | EXP porcentaje EXPEXP : par1 EXP par2EXP : id par1 Lista_EXP par2EXP : EXP mayor EXP\n | EXP mayori EXP\n | EXP menor EXP\n | EXP menori EXP\n | EXP igual EXP\n | EXP diferente EXP\n | EXP diferentede EXPEXP : EXP t_and EXP\n | EXP t_or EXP\n EXP : mas EXP %prec umas\n | menos EXP %prec umenos\n | t_not EXPEXP : ValorEXP : id punto idEXP : EXP t_as EXPEXP : t_avg par1 EXP par2\n | t_sum par1 EXP par2\n | t_count par1 EXP par2\n | t_count par1 asterisco par2\n | t_max par1 EXP par2\n | t_min par1 EXP par2EXP : t_abs par1 EXP par2\n | t_cbrt par1 EXP par2\n | t_ceil par1 EXP par2\n | t_ceiling par1 EXP par2\n | t_degrees par1 EXP par2\n | t_exp par1 EXP par2\n | t_factorial par1 EXP par2\n | t_floor par1 EXP par2\n | t_gcd par1 Lista_EXP par2\n | t_ln par1 EXP par2\n | t_log par1 EXP par2\n | t_pi par1 par2\n | t_radians par1 EXP par2\n | t_round par1 EXP par2\n | t_min_scale par1 EXP par2\n | t_scale par1 EXP par2\n | t_sign par1 EXP par2\n | t_sqrt par1 EXP par2\n | t_trim_scale par1 EXP par2\n | t_trunc par1 EXP par2\n | t_width_bucket par1 Lista_EXP par2\n | t_random par1 par2\n | t_setseed par1 EXP par2 EXP : t_div par1 EXP coma EXP par2\n | t_mod par1 EXP coma EXP par2\n | t_power par1 EXP coma EXP par2 EXP : t_acos par1 EXP par2\n | t_acosd par1 EXP par2\n | t_asin par1 EXP par2\n | t_asind par1 EXP par2\n | t_atan par1 EXP par2\n | t_atand par1 EXP par2\n | t_cos par1 EXP par2\n | t_cosd par1 EXP par2\n | t_cot par1 EXP par2\n | t_cotd par1 EXP par2\n | t_sin par1 EXP par2\n | t_sind par1 EXP par2\n | t_tan par1 EXP par2\n | t_tand par1 EXP par2 EXP : t_atan2 par1 EXP coma EXP par2\n | t_atan2d par1 EXP coma EXP par2 EXP : t_length par1 id par2\n | t_substring par1 char coma entero coma entero par2\n | t_trim par1 char par2\n | t_md5 par1 char par2\n | t_sha256 par1 par2\n | t_substr par1 par2\n | t_get_byte par1 par2\n | t_set_byte par1 par2\n | t_convert par1 EXP t_as Tipo par2\n | t_encode par1 par2\n | t_decode par1 par2 Lista_ID : Lista_ID coma id\n | id Lista_Enum : Lista_Enum coma char\n | char Lista_EXP : Lista_EXP coma EXP\n | EXP Lista_Alias : Lista_Alias coma Nombre_Alias\n | Nombre_Alias Nombre_Alias : id id'
_lr_action_items = {'$end': ([0, 1, 2, 3, 4, 5, 6, 13, 17, 198, 202, 207, 210, 313, 391, 396, 453, 487, 490, 593], [-145, 0, -1, -2, -4, -5, -6, -48, -3, -12, -49, -50, -51, -47, -9, -11, -10, -7, -8, -54]), 't_select': ([0, 2, 4, 5, 6, 13, 17, 198, 202, 207, 210, 224, 313, 391, 396, 453, 487, 490, 593], [7, 7, -4, -5, -6, -48, -3, -12, -49, -50, -51, 336, -47, -9, -11, -10, -7, -8, -54]), 't_insert': ([0, 2, 4, 5, 6, 13, 17, 198, 202, 207, 210, 313, 391, 396, 453, 487, 490, 593], [8, 8, -4, -5, -6, -48, -3, -12, -49, -50, -51, -47, -9, -11, -10, -7, -8, -54]), 't_update': ([0, 2, 4, 5, 6, 13, 17, 198, 202, 207, 210, 313, 391, 396, 453, 487, 490, 593], [9, 9, -4, -5, -6, -48, -3, -12, -49, -50, -51, -47, -9, -11, -10, -7, -8, -54]), 't_delete': ([0, 2, 4, 5, 6, 13, 17, 198, 202, 207, 210, 313, 391, 396, 453, 487, 490, 593], [10, 10, -4, -5, -6, -48, -3, -12, -49, -50, -51, -47, -9, -11, -10, -7, -8, -54]), 't_use': ([0, 2, 4, 5, 6, 13, 17, 198, 202, 207, 210, 313, 391, 396, 453, 487, 490, 593], [11, 11, -4, -5, -6, -48, -3, -12, -49, -50, -51, -47, -9, -11, -10, -7, -8, -54]), 't_show': ([0, 2, 4, 5, 6, 13, 17, 198, 202, 207, 210, 313, 391, 396, 453, 487, 490, 593], [12, 12, -4, -5, -6, -48, -3, -12, -49, -50, -51, -47, -9, -11, -10, -7, -8, -54]), 't_drop': ([0, 2, 4, 5, 6, 13, 17, 198, 202, 207, 209, 210, 313, 391, 396, 453, 487, 490, 593], [14, 14, -4, -5, -6, -48, -3, -12, -49, -50, 322, -51, -47, -9, -11, -10, -7, -8, -54]), 't_alter': ([0, 2, 4, 5, 6, 13, 17, 198, 202, 207, 209, 210, 313, 391, 396, 408, 453, 487, 490, 513, 593], [15, 15, -4, -5, -6, -48, -3, -12, -49, -50, 323, -51, -47, -9, -11, 466, -10, -7, -8, 466, -54]), 't_create': ([0, 2, 4, 5, 6, 13, 17, 198, 202, 207, 210, 313, 391, 396, 453, 487, 490, 593], [16, 16, -4, -5, -6, -48, -3, -12, -49, -50, -51, -47, -9, -11, -10, -7, -8, -54]), 'asterisco': ([7, 20, 24, 26, 76, 77, 87, 88, 89, 90, 131, 132, 133, 136, 139, 218, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 246, 247, 248, 249, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 299, 300, 301, 302, 303, 304, 305, 333, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 386, 388, 389, 397, 429, 430, 431, 432, 433, 450, 491, 492, 493, 494, 495, 497, 509, 536, 570, 580, 581, 622], [19, 117, -144, -166, -141, -139, -138, -140, -142, -143, -163, -164, 117, -165, 250, 117, 117, 117, -148, -149, -150, -151, -154, -155, -156, -157, 117, -159, 117, -161, -162, 117, -152, -167, 117, 117, 117, 117, 117, 117, 117, 117, 117, 117, 117, 117, 117, 117, 117, -186, 117, 117, 117, 117, 117, 117, 117, 117, -196, 117, 117, 117, 117, 117, 117, 117, 117, 117, 117, 117, 117, 117, 117, 117, 117, 117, 117, 117, 117, -221, -222, -223, -224, 117, -226, -227, 117, -153, -169, -170, -171, -172, -173, -174, -175, -176, -177, -178, -179, -180, -181, -182, -183, -184, -185, -187, -188, -189, -190, -191, -192, -193, -194, -195, -197, -201, -202, -203, -204, -205, -206, -207, -208, -209, -210, -211, -212, -213, -214, -217, -219, -220, 117, 117, 117, 117, 117, 117, -144, -198, -199, -200, -215, -216, -225, 117, 117, 117, 117, -218, 117]), 'par1': ([7, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 78, 79, 80, 81, 82, 83, 84, 85, 86, 111, 112, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 195, 196, 213, 216, 308, 311, 367, 368, 369, 384, 385, 390, 394, 410, 440, 444, 445, 446, 450, 461, 462, 482, 483, 488, 500, 504, 507, 527, 531, 532, 533, 538, 545, 550, 565, 574, 600, 618, 637, 640], [23, 23, 23, 23, 134, 23, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 23, 224, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 307, 23, 329, 23, 394, 23, 23, 23, 23, 23, 23, 23, 23, 472, 498, 501, 502, 503, 134, 508, 23, 530, 531, 23, 541, 545, 546, 568, 23, 571, 572, 23, 23, 592, 600, 23, 23, 632, 641, 643]), 'id': ([7, 9, 11, 21, 22, 23, 25, 91, 93, 97, 98, 100, 101, 103, 107, 111, 112, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 135, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 192, 196, 203, 205, 212, 216, 225, 307, 311, 316, 326, 328, 329, 334, 335, 367, 368, 369, 384, 385, 390, 394, 398, 399, 401, 403, 406, 407, 408, 409, 413, 419, 423, 426, 459, 462, 477, 481, 488, 508, 510, 513, 514, 530, 531, 538, 545, 546, 561, 567, 568, 571, 572, 574, 600, 631, 635, 641, 643], [24, 92, 94, 24, 24, 24, 24, 195, 197, -145, 206, 208, 209, 211, 213, 24, 225, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 246, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 295, 24, 24, 315, -58, -145, 24, 337, 393, 24, -57, 411, -90, 413, 424, 426, 24, 24, 24, 24, 24, 450, 24, 454, 456, 459, 463, 464, 465, 468, 471, 478, 486, 393, 337, 478, 24, -89, 413, 24, 547, 548, 552, 553, 393, 24, 24, 24, 393, 596, 602, 603, 393, 393, 24, 24, 637, 640, 393, 393]), 'mas': ([7, 20, 21, 22, 23, 24, 25, 26, 76, 77, 87, 88, 89, 90, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 218, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 246, 247, 248, 249, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 299, 300, 301, 302, 303, 304, 305, 311, 333, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 388, 389, 390, 394, 397, 429, 430, 431, 432, 433, 450, 462, 488, 491, 492, 493, 494, 495, 497, 509, 531, 536, 538, 545, 570, 574, 580, 581, 600, 622], [21, 115, 21, 21, 21, -144, 21, -166, -141, -139, -138, -140, -142, -143, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, -163, -164, 115, 21, -165, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 115, -146, -147, -148, -149, -150, -151, -154, -155, -156, -157, 115, -159, 115, -161, -162, 115, -152, -167, 115, 115, 115, 115, 115, 115, 115, 115, 115, 115, 115, 115, 115, 115, 115, -186, 115, 115, 115, 115, 115, 115, 115, 115, -196, 115, 115, 115, 115, 115, 115, 115, 115, 115, 115, 115, 115, 115, 115, 115, 115, 115, 115, 115, 115, -221, -222, -223, -224, 115, -226, -227, 21, 115, -153, -169, -170, -171, -172, -173, -174, -175, -176, -177, -178, -179, -180, -181, -182, -183, -184, -185, -187, -188, -189, -190, -191, -192, -193, -194, -195, -197, 21, 21, 21, -201, -202, -203, -204, -205, -206, -207, -208, -209, -210, -211, -212, -213, -214, 21, 21, -217, -219, -220, 21, 21, 115, 115, 115, 115, 115, 115, -144, 21, 21, -198, -199, -200, -215, -216, -225, 115, 21, 115, 21, 21, 115, 21, 115, -218, 21, 115]), 'menos': ([7, 20, 21, 22, 23, 24, 25, 26, 76, 77, 87, 88, 89, 90, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 218, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 246, 247, 248, 249, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 299, 300, 301, 302, 303, 304, 305, 311, 333, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 388, 389, 390, 394, 397, 429, 430, 431, 432, 433, 450, 462, 488, 491, 492, 493, 494, 495, 497, 509, 531, 536, 538, 545, 570, 574, 580, 581, 600, 622], [22, 116, 22, 22, 22, -144, 22, -166, -141, -139, -138, -140, -142, -143, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, -163, -164, 116, 22, -165, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 116, -146, -147, -148, -149, -150, -151, -154, -155, -156, -157, 116, -159, 116, -161, -162, 116, -152, -167, 116, 116, 116, 116, 116, 116, 116, 116, 116, 116, 116, 116, 116, 116, 116, -186, 116, 116, 116, 116, 116, 116, 116, 116, -196, 116, 116, 116, 116, 116, 116, 116, 116, 116, 116, 116, 116, 116, 116, 116, 116, 116, 116, 116, 116, -221, -222, -223, -224, 116, -226, -227, 22, 116, -153, -169, -170, -171, -172, -173, -174, -175, -176, -177, -178, -179, -180, -181, -182, -183, -184, -185, -187, -188, -189, -190, -191, -192, -193, -194, -195, -197, 22, 22, 22, -201, -202, -203, -204, -205, -206, -207, -208, -209, -210, -211, -212, -213, -214, 22, 22, -217, -219, -220, 22, 22, 116, 116, 116, 116, 116, 116, -144, 22, 22, -198, -199, -200, -215, -216, -225, 116, 22, 116, 22, 22, 116, 22, 116, -218, 22, 116]), 't_not': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 327, 367, 368, 369, 384, 385, 390, 394, 436, 437, 438, 439, 441, 443, 447, 448, 449, 462, 478, 479, 486, 488, 499, 511, 524, 525, 531, 538, 545, 563, 564, 574, 582, 584, 585, 586, 596, 597, 600, 601, 602, 615, 634], [25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 412, 25, 25, 25, 25, 25, 25, 25, -122, -123, -124, -125, -127, -129, -134, -135, -136, 25, -137, -145, -115, 25, -128, 549, 562, -116, 25, 25, 25, -145, -145, 25, -126, -132, -131, -133, -145, -145, 25, -145, -145, -130, -145]), 't_avg': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27]), 't_sum': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28]), 't_count': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29]), 't_max': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30]), 't_min': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31]), 't_abs': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32]), 't_cbrt': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33]), 't_ceil': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34, 34]), 't_ceiling': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35, 35]), 't_degrees': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36, 36]), 't_exp': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37]), 't_factorial': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38]), 't_floor': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39, 39]), 't_gcd': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40]), 't_ln': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41]), 't_log': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42, 42]), 't_pi': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43, 43]), 't_radians': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44, 44]), 't_round': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45, 45]), 't_min_scale': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46, 46]), 't_scale': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47, 47]), 't_sign': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48, 48]), 't_sqrt': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49, 49]), 't_trim_scale': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50, 50]), 't_trunc': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51, 51]), 't_width_bucket': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52, 52]), 't_random': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53, 53]), 't_setseed': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54, 54]), 't_div': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55, 55]), 't_mod': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56, 56]), 't_power': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57, 57]), 't_acos': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58]), 't_acosd': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59]), 't_asin': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60]), 't_asind': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61]), 't_atan': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62, 62]), 't_atand': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63, 63]), 't_cos': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64, 64]), 't_cosd': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65, 65]), 't_cot': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66]), 't_cotd': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67, 67]), 't_sin': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68, 68]), 't_sind': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69, 69]), 't_tan': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70]), 't_tand': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71, 71]), 't_atan2': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72]), 't_atan2d': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73, 73]), 't_length': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74, 74]), 't_substring': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75]), 't_trim': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78]), 't_md5': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79]), 't_sha256': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80, 80]), 't_substr': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81]), 't_get_byte': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82, 82]), 't_set_byte': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83, 83]), 't_convert': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84]), 't_encode': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85]), 't_decode': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86]), 'decimal': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87]), 'entero': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 387, 390, 394, 462, 475, 488, 496, 498, 501, 502, 503, 521, 531, 538, 541, 545, 557, 574, 575, 576, 592, 600, 628, 632], [77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 77, 434, 77, 77, 77, 522, 77, 539, 540, 542, 543, 544, 560, 77, 77, 583, 77, 522, 77, 610, 612, 619, 77, 636, 638]), 'string': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88, 88]), 'char': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 185, 186, 187, 192, 196, 200, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 472, 474, 488, 518, 531, 538, 545, 555, 574, 600], [76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 296, 297, 298, 76, 76, 314, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 516, 519, 76, 559, 76, 76, 76, 594, 76, 76]), 't_true': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89, 89]), 't_false': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90]), 't_into': ([8], [91]), 't_from': ([10, 18, 19, 20, 24, 26, 76, 77, 87, 88, 89, 90, 131, 132, 136, 218, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 246, 264, 274, 299, 300, 301, 302, 304, 305, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 386, 388, 389, 491, 492, 493, 494, 495, 497, 581], [93, 112, 112, -233, -144, -166, -141, -139, -138, -140, -142, -143, -163, -164, -165, -232, -146, -147, -148, -149, -150, -151, -154, -155, -156, -157, -158, -159, -160, -161, -162, -168, -152, -167, -186, -196, -221, -222, -223, -224, -226, -227, -153, -169, -170, -171, -172, -173, -174, -175, -176, -177, -178, -179, -180, -181, -182, -183, -184, -185, -187, -188, -189, -190, -191, -192, -193, -194, -195, -197, -201, -202, -203, -204, -205, -206, -207, -208, -209, -210, -211, -212, -213, -214, -217, -219, -220, -198, -199, -200, -215, -216, -225, -218]), 't_databases': ([12], [95]), 't_database': ([14, 15, 16, 106, 109, 214], [97, 100, -145, 212, -88, -87]), 't_table': ([14, 15, 16], [98, 101, 107]), 't_type': ([16, 468, 548, 552], [103, 512, 590, 512]), 't_or': ([16, 20, 24, 26, 76, 77, 87, 88, 89, 90, 131, 132, 133, 136, 218, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 246, 247, 248, 249, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 299, 300, 301, 302, 303, 304, 305, 333, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 386, 388, 389, 397, 429, 430, 431, 432, 433, 450, 491, 492, 493, 494, 495, 497, 509, 536, 570, 580, 581, 622], [108, 129, -144, -166, -141, -139, -138, -140, -142, -143, 129, 129, 129, -165, 129, 129, 129, 129, 129, 129, 129, -154, -155, -156, -157, 129, -159, 129, -161, -162, 129, -152, -167, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, -186, 129, 129, 129, 129, 129, 129, 129, 129, -196, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, 129, -221, -222, -223, -224, 129, -226, -227, 129, -153, -169, -170, -171, -172, -173, -174, -175, -176, -177, -178, -179, -180, -181, -182, -183, -184, -185, -187, -188, -189, -190, -191, -192, -193, -194, -195, -197, -201, -202, -203, -204, -205, -206, -207, -208, -209, -210, -211, -212, -213, -214, -217, -219, -220, 129, 129, 129, 129, 129, 129, -144, -198, -199, -200, -215, -216, -225, 129, 129, 129, 129, -218, 129]), 'coma': ([18, 20, 24, 26, 76, 77, 87, 88, 89, 90, 131, 132, 136, 218, 222, 223, 225, 226, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 261, 264, 273, 274, 276, 277, 278, 293, 294, 296, 299, 300, 301, 302, 304, 305, 309, 329, 337, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 386, 388, 389, 392, 393, 414, 415, 416, 418, 424, 425, 434, 436, 437, 438, 439, 441, 443, 447, 448, 449, 452, 469, 470, 478, 479, 481, 489, 491, 492, 493, 494, 495, 497, 499, 515, 516, 523, 525, 529, 534, 535, 536, 551, 563, 564, 569, 577, 578, 579, 581, 582, 584, 585, 586, 587, 588, 594, 596, 597, 598, 599, 601, 602, 604, 605, 606, 607, 608, 613, 615, 620, 621, 623, 624, 626, 629, 630, 633, 634, 639, 642, 644, 645, 647], [111, -233, -144, -166, -141, -139, -138, -140, -142, -143, -163, -164, -165, -232, 334, 335, -229, -235, -146, -147, -148, -149, -150, -151, -154, -155, -156, -157, -158, -159, -160, -161, -162, -168, -152, 111, -167, 111, -186, 111, -196, 367, 368, 369, 384, 385, 387, -221, -222, -223, -224, -226, -227, 111, -145, -236, -153, -169, -170, -171, -172, -173, -174, -175, -176, -177, -178, -179, -180, -181, -182, -183, -184, -185, -187, -188, -189, -190, -191, -192, -193, -194, -195, -197, -201, -202, -203, -204, -205, -206, -207, -208, -209, -210, -211, -212, -213, -214, -217, -219, -220, 334, -229, 481, -104, 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628, -45, -46, -35, -40, -41]), 't_set': ([92, 468], [196, 511]), 't_like': ([95], [200]), 't_if': ([97, 212], [204, 327]), 't_replace': ([108], [214]), 't_values': ([195, 451], [308, 504]), 't_exists': ([204, 412], [316, 477]), 't_rename': ([208, 209], [318, 324]), 't_owner': ([208, 411], [319, 474]), 't_add': ([209], [321]), 't_to': ([318, 319, 471], [398, 399, 514]), 't_column': ([321, 322, 323, 324, 466], [401, 406, 408, 409, 510]), 't_constraint': ([321, 322, 329, 436, 437, 438, 439, 441, 443, 447, 448, 449, 478, 479, 481, 499, 563, 564, 582, 584, 585, 586, 596, 597, 601, 602, 615, 634], [403, 407, 419, -122, -123, -124, -125, -127, -129, -134, -135, -136, -137, 419, 419, -128, 419, 419, -126, -132, -131, -133, 419, 419, 419, 419, -130, 419]), 't_foreign': ([321, 329, 402, 404, 417, 418, 463, 481, 486], [-145, -145, 460, -75, 485, -116, -74, -145, -115]), 't_unique': ([321, 329, 402, 404, 417, 418, 436, 437, 438, 439, 441, 443, 447, 448, 449, 463, 478, 479, 481, 486, 499, 524, 525, 563, 564, 582, 584, 585, 586, 596, 597, 601, 602, 615, 634], [-145, -145, 461, -75, 482, -116, -122, -123, -124, -125, -127, -129, -134, -135, -136, -74, -137, -145, -145, -115, -128, 564, -116, -145, -145, -126, -132, -131, -133, -145, -145, -145, -145, -130, -145]), 't_check': ([321, 329, 402, 404, 417, 418, 436, 437, 438, 439, 441, 443, 447, 448, 449, 463, 478, 479, 481, 486, 499, 524, 525, 563, 564, 582, 584, 585, 586, 596, 597, 601, 602, 615, 634], [-145, -145, 462, -75, 483, -116, -122, -123, -124, -125, -127, -129, -134, -135, -136, -74, -137, -145, -145, -115, -128, 565, -116, -145, -145, -126, -132, -131, -133, -145, -145, -145, -145, -130, -145]), 't_enum': ([325], [410]), 't_primary': ([329, 417, 418, 436, 437, 438, 439, 441, 443, 447, 448, 449, 478, 479, 481, 486, 499, 524, 525, 563, 564, 582, 584, 585, 586, 596, 597, 601, 602, 615, 634], [-145, 484, -116, -122, -123, -124, -125, -127, -129, -134, -135, -136, -137, -145, -145, -115, -128, 566, -116, -145, -145, -126, -132, -131, -133, -145, -145, -145, -145, -130, -145]), 't_by': ([331, 421], [423, 488]), 't_smallint': ([390, 413, 459], [436, 436, 436]), 't_integer': ([390, 413, 459], [437, 437, 437]), 't_bigint': ([390, 413, 459], [438, 438, 438]), 't_decimal': ([390, 413, 459], [439, 439, 439]), 't_numeric': ([390, 413, 459], [440, 440, 440]), 't_real': ([390, 413, 459], [441, 441, 441]), 't_double': ([390, 413, 459], [442, 442, 442]), 't_money': ([390, 413, 459], [443, 443, 443]), 't_character': ([390, 413, 459], [444, 444, 444]), 't_varchar': ([390, 413, 459, 512, 590], [445, 445, 445, 550, 618]), 't_charn': ([390, 413, 459], [446, 446, 446]), 't_text': ([390, 413, 459], [447, 447, 447]), 't_boolean': ([390, 413, 459], [448, 448, 448]), 't_date': ([390, 413, 459], [449, 449, 449]), 't_having': ([393, 424, 489], [-229, -228, 538]), 't_current_user': ([399], [457]), 't_session_user': ([399], [458]), 't_mode': ([411, 517, 519, 559], [475, 557, -95, -94]), 't_default': ([436, 437, 438, 439, 441, 443, 447, 448, 449, 478, 479, 486, 499, 524, 525, 563, 564, 582, 584, 585, 586, 596, 597, 601, 602, 615, 634], [-122, -123, -124, -125, -127, -129, -134, -135, -136, -137, -145, -115, -128, 561, -116, -145, -145, -126, -132, -131, -133, -145, -145, -145, -145, -130, -145]), 't_null': ([436, 437, 438, 439, 441, 443, 447, 448, 449, 478, 479, 486, 499, 524, 525, 549, 562, 563, 564, 582, 584, 585, 586, 596, 597, 601, 602, 615, 634], [-122, -123, -124, -125, -127, -129, -134, -135, -136, -137, -145, -115, -128, 563, -116, 591, 597, -145, -145, -126, -132, -131, -133, -145, -145, -145, -145, -130, -145]), 't_references': ([436, 437, 438, 439, 441, 443, 447, 448, 449, 478, 479, 486, 499, 524, 525, 563, 564, 582, 584, 585, 586, 596, 597, 601, 602, 615, 617, 627, 634], [-122, -123, -124, -125, -127, -129, -134, -135, -136, -137, -145, -115, -128, 567, -116, -145, -145, -126, -132, -131, -133, -145, -145, -145, -145, -130, 631, 635, -145]), 't_precision': ([442], [499]), 't_varying': ([444], [500]), 't_key': ([460, 484, 485, 566], [507, 532, 533, 601]), 't_inherits': ([480], [527]), 't_all': ([575], [611]), 't_nulls': ([577, 578, 579], [614, -38, -39]), 't_first': ([614], [629]), 't_last': ([614], [630])}
_lr_action = {}
for (_k, _v) in _lr_action_items.items():
for (_x, _y) in zip(_v[0], _v[1]):
if not _x in _lr_action:
_lr_action[_x] = {}
_lr_action[_x][_k] = _y
del _lr_action_items
_lr_goto_items = {'SQL': ([0], [1]), 'Sentencias_SQL': ([0], [2]), 'empty': ([0, 16, 18, 19, 95, 97, 110, 114, 197, 212, 215, 227, 309, 321, 329, 330, 338, 411, 479, 480, 481, 517, 563, 564, 596, 597, 601, 602, 634], [3, 109, 113, 113, 201, 205, 217, 217, 312, 328, 332, 332, 312, 404, 418, 422, 422, 476, 525, 528, 418, 558, 525, 525, 525, 525, 525, 525, 525]), 'Sentencia_SQL': ([0, 2], [4, 17]), 'Sentencias_DML': ([0, 2], [5, 5]), 'Sentencias_DDL': ([0, 2], [6, 6]), 'Enum_Type': ([0, 2], [13, 13]), 'Lista_EXP': ([7, 134, 150, 162, 196, 394, 545], [18, 245, 261, 273, 309, 452, 587]), 'EXP': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [20, 131, 132, 133, 136, 218, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 20, 247, 248, 249, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 20, 262, 263, 265, 266, 267, 268, 269, 270, 271, 272, 20, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 303, 20, 333, 397, 429, 430, 431, 432, 433, 243, 20, 509, 536, 570, 580, 20, 536, 622]), 'Valor': ([7, 21, 22, 23, 25, 111, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 134, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 159, 160, 161, 162, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 192, 196, 216, 311, 367, 368, 369, 384, 385, 390, 394, 462, 488, 531, 538, 545, 574, 600], [26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26]), 'Drop': ([14], [96]), 'Alter': ([15], [99]), 'Create': ([16], [102]), 'CreateDB': ([16], [104]), 'CreateTB': ([16], [105]), 'OrReplace_CreateDB': ([16], [106]), 'Select_SQL': ([18, 19], [110, 114]), 'Show_DB_Like_Char': ([95], [199]), 'DropDB': ([97], [203]), 'Condiciones': ([110, 114], [215, 227]), 'Table_Expression': ([112], [219]), 'Alias_Tabla': ([112], [220]), 'Subqueries': ([112], [221]), 'Lista_ID': ([112, 307, 423, 530, 546, 571, 572, 641, 643], [222, 392, 489, 569, 588, 606, 607, 644, 645]), 'Lista_Alias': ([112], [223]), 'Nombre_Alias': ([112, 335], [226, 425]), 'Insert_SQL': ([195], [306]), 'Condiciones1': ([197, 309], [310, 395]), 'AlterDB': ([208], [317]), 'AlterTB': ([209], [320]), 'IfNotExist_CreateDB': ([212], [326]), 'GRP': ([215, 227], [330, 338]), 'Add_Opc': ([321], [400]), 'Constraint_AlterTB': ([321], [402]), 'Drop_Opc': ([322], [405]), 'Columnas': ([329], [414]), 'Columna': ([329, 481], [415, 529]), 'Constraint': ([329, 481], [416, 416]), 'Constraint_CreateTB': ([329, 479, 481, 563, 564, 596, 597, 601, 602, 634], [417, 524, 417, 524, 524, 524, 524, 524, 524, 524]), 'ORD': ([330, 338], [420, 428]), 'Tipo': ([390, 413, 459], [435, 479, 506]), 'SesionDB': ([399], [455]), 'Alter_Column': ([408], [467]), 'Alter_Columns': ([408], [469]), 'Alter_Column1': ([408, 513], [470, 551]), 'Sesion': ([411], [473]), 'Lista_Enum': ([472], [515]), 'Op_Sesion': ([474], [517]), 'Op_Mode': ([475, 557], [520, 595]), 'Cond_CreateTB': ([479, 563, 564, 596, 597, 601, 602, 634], [523, 598, 599, 620, 621, 623, 624, 639]), 'Inherits': ([480], [526]), 'LSORT': ([488], [534]), 'SORT': ([488, 574], [535, 608]), 'HV': ([489], [537]), 'Sesion_mode': ([517], [556]), 'LMT': ([534], [573]), 'AD': ([536], [577]), 'NAL': ([575], [609]), 'NFL': ([577], [613])}
_lr_goto = {}
for (_k, _v) in _lr_goto_items.items():
for (_x, _y) in zip(_v[0], _v[1]):
if not _x in _lr_goto:
_lr_goto[_x] = {}
_lr_goto[_x][_k] = _y
del _lr_goto_items
_lr_productions = [("S' -> SQL", "S'", 1, None, None, None), ('SQL -> Sentencias_SQL', 'SQL', 1, 'p_sql', 'Gramatica.py', 318), ('SQL -> empty', 'SQL', 1, 'p_sql2', 'Gramatica.py', 322), ('Sentencias_SQL -> Sentencias_SQL Sentencia_SQL', 'Sentencias_SQL', 2, 'p_Sentencias_SQL_Sentencia_SQL', 'Gramatica.py', 326), ('Sentencias_SQL -> Sentencia_SQL', 'Sentencias_SQL', 1, 'p_Sentencias_SQL', 'Gramatica.py', 332), ('Sentencia_SQL -> Sentencias_DML', 'Sentencia_SQL', 1, 'p_Sentencia_SQL_DML', 'Gramatica.py', 337), ('Sentencia_SQL -> Sentencias_DDL', 'Sentencia_SQL', 1, 'p_Sentencia_SQL_DDL', 'Gramatica.py', 346), ('Sentencias_DML -> t_select Lista_EXP Select_SQL Condiciones GRP ORD pyc', 'Sentencias_DML', 7, 'p_Sentencias_DML', 'Gramatica.py', 352), ('Sentencias_DML -> t_select asterisco Select_SQL Condiciones GRP ORD pyc', 'Sentencias_DML', 7, 'p_Sentencias_DML', 'Gramatica.py', 353), ('Sentencias_DML -> t_insert t_into id Insert_SQL pyc', 'Sentencias_DML', 5, 'p_Sentencias_DML', 'Gramatica.py', 354), ('Sentencias_DML -> t_update id t_set Lista_EXP Condiciones1 pyc', 'Sentencias_DML', 6, 'p_Sentencias_DML', 'Gramatica.py', 355), ('Sentencias_DML -> t_delete t_from id Condiciones1 pyc', 'Sentencias_DML', 5, 'p_Sentencias_DML', 'Gramatica.py', 356), ('Sentencias_DML -> t_use id pyc', 'Sentencias_DML', 3, 'p_Sentencias_DML', 'Gramatica.py', 357), ('Select_SQL -> t_from Table_Expression', 'Select_SQL', 2, 'p_Select_SQL', 'Gramatica.py', 376), ('Select_SQL -> empty', 'Select_SQL', 1, 'p_Select2_SQL', 'Gramatica.py', 382), ('Table_Expression -> Alias_Tabla', 'Table_Expression', 1, 'p_Table_Expression', 'Gramatica.py', 388), ('Table_Expression -> Subqueries', 'Table_Expression', 1, 'p_Table_Expression', 'Gramatica.py', 389), ('Alias_Tabla -> Lista_ID', 'Alias_Tabla', 1, 'p_Alias_Tabla', 'Gramatica.py', 395), ('Alias_Tabla -> Lista_Alias', 'Alias_Tabla', 1, 'p_Alias_Tabla', 'Gramatica.py', 396), ('Subqueries -> par1 t_select par2', 'Subqueries', 3, 'p_Subqueries', 'Gramatica.py', 401), ('Insert_SQL -> par1 Lista_ID par2 t_values par1 Lista_EXP par2', 'Insert_SQL', 7, 'p_Insert_SQL', 'Gramatica.py', 406), ('Insert_SQL -> t_values par1 Lista_EXP par2', 'Insert_SQL', 4, 'p_Insert_SQL2', 'Gramatica.py', 411), ('Condiciones -> t_where EXP', 'Condiciones', 2, 'p_Condiciones', 'Gramatica.py', 416), ('Condiciones -> empty', 'Condiciones', 1, 'p_Condiciones', 'Gramatica.py', 417), ('Condiciones1 -> t_where EXP', 'Condiciones1', 2, 'p_Condiciones1', 'Gramatica.py', 426), ('Condiciones1 -> empty', 'Condiciones1', 1, 'p_Condiciones1', 'Gramatica.py', 427), ('GRP -> t_group t_by Lista_ID', 'GRP', 3, 'p_GRP', 'Gramatica.py', 438), ('GRP -> t_group t_by Lista_ID HV', 'GRP', 4, 'p_GRP', 'Gramatica.py', 439), ('GRP -> empty', 'GRP', 1, 'p_GRP', 'Gramatica.py', 440), ('HV -> t_having EXP', 'HV', 2, 'p_HV', 'Gramatica.py', 447), ('ORD -> t_order t_by LSORT', 'ORD', 3, 'p_ORD', 'Gramatica.py', 451), ('ORD -> t_order t_by LSORT LMT', 'ORD', 4, 'p_ORD', 'Gramatica.py', 452), ('ORD -> empty', 'ORD', 1, 'p_ORD', 'Gramatica.py', 453), ('LSORT -> LSORT coma SORT', 'LSORT', 3, 'p_L_SORT', 'Gramatica.py', 461), ('LSORT -> SORT', 'LSORT', 1, 'p_L_SORT', 'Gramatica.py', 462), ('SORT -> EXP AD NFL', 'SORT', 3, 'p_SORT', 'Gramatica.py', 469), ('SORT -> EXP AD', 'SORT', 2, 'p_SORT', 'Gramatica.py', 470), ('SORT -> EXP', 'SORT', 1, 'p_SORT', 'Gramatica.py', 471), ('AD -> t_asc', 'AD', 1, 'p_AD', 'Gramatica.py', 480), ('AD -> t_desc', 'AD', 1, 'p_AD', 'Gramatica.py', 481), ('NFL -> t_nulls t_first', 'NFL', 2, 'p_NFL', 'Gramatica.py', 486), ('NFL -> t_nulls t_last', 'NFL', 2, 'p_NFL', 'Gramatica.py', 487), ('LMT -> t_limit NAL t_offset entero', 'LMT', 4, 'p_LMT', 'Gramatica.py', 491), ('LMT -> t_limit NAL', 'LMT', 2, 'p_LMT', 'Gramatica.py', 492), ('LMT -> t_offset entero', 'LMT', 2, 'p_LMT', 'Gramatica.py', 493), ('NAL -> entero', 'NAL', 1, 'p_NAL', 'Gramatica.py', 500), ('NAL -> t_all', 'NAL', 1, 'p_NAL', 'Gramatica.py', 501), ('Sentencias_DDL -> t_show t_databases Show_DB_Like_Char pyc', 'Sentencias_DDL', 4, 'p_Sentencias_DDL', 'Gramatica.py', 506), ('Sentencias_DDL -> Enum_Type', 'Sentencias_DDL', 1, 'p_Sentencias_DDL', 'Gramatica.py', 507), ('Sentencias_DDL -> t_drop Drop pyc', 'Sentencias_DDL', 3, 'p_Sentencias_DDL', 'Gramatica.py', 508), ('Sentencias_DDL -> t_alter Alter pyc', 'Sentencias_DDL', 3, 'p_Sentencias_DDL', 'Gramatica.py', 509), ('Sentencias_DDL -> t_create Create pyc', 'Sentencias_DDL', 3, 'p_Sentencias_DDL', 'Gramatica.py', 510), ('Show_DB_Like_Char -> t_like char', 'Show_DB_Like_Char', 2, 'p_show_db_like_regex', 'Gramatica.py', 530), ('Show_DB_Like_Char -> empty', 'Show_DB_Like_Char', 1, 'p_show_db_like_regex', 'Gramatica.py', 531), ('Enum_Type -> t_create t_type id t_as t_enum par1 Lista_Enum par2 pyc', 'Enum_Type', 9, 'p_Enum_Type', 'Gramatica.py', 540), ('Drop -> t_database DropDB id', 'Drop', 3, 'p_Drop', 'Gramatica.py', 545), ('Drop -> t_table id', 'Drop', 2, 'p_Drop', 'Gramatica.py', 546), ('DropDB -> t_if t_exists', 'DropDB', 2, 'p_DropDB', 'Gramatica.py', 555), ('DropDB -> empty', 'DropDB', 1, 'p_DropDB', 'Gramatica.py', 556), ('Alter -> t_database id AlterDB', 'Alter', 3, 'p_Alter', 'Gramatica.py', 565), ('Alter -> t_table id AlterTB', 'Alter', 3, 'p_Alter', 'Gramatica.py', 566), ('AlterDB -> t_rename t_to id', 'AlterDB', 3, 'p_AlterDB', 'Gramatica.py', 575), ('AlterDB -> t_owner t_to SesionDB', 'AlterDB', 3, 'p_AlterDB', 'Gramatica.py', 576), ('SesionDB -> id', 'SesionDB', 1, 'p_SesionDB', 'Gramatica.py', 585), ('SesionDB -> t_current_user', 'SesionDB', 1, 'p_SesionDB', 'Gramatica.py', 586), ('SesionDB -> t_session_user', 'SesionDB', 1, 'p_SesionDB', 'Gramatica.py', 587), ('AlterTB -> t_add Add_Opc', 'AlterTB', 2, 'p_AlterTB', 'Gramatica.py', 597), ('AlterTB -> t_drop Drop_Opc', 'AlterTB', 2, 'p_AlterTB', 'Gramatica.py', 598), ('AlterTB -> t_alter t_column Alter_Column', 'AlterTB', 3, 'p_AlterTB', 'Gramatica.py', 599), ('AlterTB -> t_rename t_column id t_to id', 'AlterTB', 5, 'p_AlterTB', 'Gramatica.py', 600), ('Add_Opc -> t_column id Tipo', 'Add_Opc', 3, 'p_Add_Opc', 'Gramatica.py', 615), ('Add_Opc -> Constraint_AlterTB t_foreign t_key par1 Lista_ID par2 t_references id par1 Lista_ID par2', 'Add_Opc', 11, 'p_Add_Opc', 'Gramatica.py', 616), ('Add_Opc -> Constraint_AlterTB t_unique par1 id par2', 'Add_Opc', 5, 'p_Add_Opc', 'Gramatica.py', 617), ('Add_Opc -> Constraint_AlterTB t_check EXP', 'Add_Opc', 3, 'p_Add_Opc', 'Gramatica.py', 618), ('Constraint_AlterTB -> t_constraint id', 'Constraint_AlterTB', 2, 'p_Constraint_AlterTB', 'Gramatica.py', 633), ('Constraint_AlterTB -> empty', 'Constraint_AlterTB', 1, 'p_Constraint_AlterTB', 'Gramatica.py', 634), ('Drop_Opc -> t_column id', 'Drop_Opc', 2, 'p_Drop_Opc', 'Gramatica.py', 643), ('Drop_Opc -> t_constraint id', 'Drop_Opc', 2, 'p_Drop_Opc', 'Gramatica.py', 644), ('Alter_Column -> id t_set t_not t_null', 'Alter_Column', 4, 'p_Alter_Column', 'Gramatica.py', 653), ('Alter_Column -> Alter_Columns', 'Alter_Column', 1, 'p_Alter_Column', 'Gramatica.py', 654), ('Alter_Columns -> Alter_Columns coma Alter_Column1', 'Alter_Columns', 3, 'p_Alter_Columns', 'Gramatica.py', 663), ('Alter_Columns -> Alter_Column1', 'Alter_Columns', 1, 'p_Alter_Columns', 'Gramatica.py', 664), ('Alter_Column1 -> id t_type t_varchar par1 entero par2', 'Alter_Column1', 6, 'p_Alter_Colum1', 'Gramatica.py', 674), ('Alter_Column1 -> t_alter t_column id t_type t_varchar par1 entero par2', 'Alter_Column1', 8, 'p_Alter_Colum1', 'Gramatica.py', 675), ('Create -> CreateDB', 'Create', 1, 'p_Create', 'Gramatica.py', 690), ('Create -> CreateTB', 'Create', 1, 'p_Create1', 'Gramatica.py', 695), ('CreateDB -> OrReplace_CreateDB t_database IfNotExist_CreateDB id Sesion', 'CreateDB', 5, 'p_CreateDB', 'Gramatica.py', 700), ('OrReplace_CreateDB -> t_or t_replace', 'OrReplace_CreateDB', 2, 'p_CreateDB_or_replace', 'Gramatica.py', 705), ('OrReplace_CreateDB -> empty', 'OrReplace_CreateDB', 1, 'p_CreateDB_or_replace', 'Gramatica.py', 706), ('IfNotExist_CreateDB -> t_if t_not t_exists', 'IfNotExist_CreateDB', 3, 'p_IfNotExist_CreateDB', 'Gramatica.py', 715), ('IfNotExist_CreateDB -> empty', 'IfNotExist_CreateDB', 1, 'p_IfNotExist_CreateDB', 'Gramatica.py', 716), ('Sesion -> t_owner Op_Sesion Sesion_mode', 'Sesion', 3, 'p_Sesion', 'Gramatica.py', 725), ('Sesion -> t_mode Op_Mode', 'Sesion', 2, 'p_Sesion', 'Gramatica.py', 726), ('Sesion -> empty', 'Sesion', 1, 'p_Sesion', 'Gramatica.py', 727), ('Op_Sesion -> igual char', 'Op_Sesion', 2, 'p_Op_Sesion', 'Gramatica.py', 739), ('Op_Sesion -> char', 'Op_Sesion', 1, 'p_Op_Sesion', 'Gramatica.py', 740), ('Sesion_mode -> t_mode Op_Mode', 'Sesion_mode', 2, 'p_Sesion_mode', 'Gramatica.py', 749), ('Sesion_mode -> empty', 'Sesion_mode', 1, 'p_Sesion_mode', 'Gramatica.py', 750), ('Op_Mode -> igual entero', 'Op_Mode', 2, 'p_Op_Mode', 'Gramatica.py', 759), ('Op_Mode -> entero', 'Op_Mode', 1, 'p_Op_Mode', 'Gramatica.py', 760), ('CreateTB -> t_table id par1 Columnas par2 Inherits', 'CreateTB', 6, 'p_CreateTB', 'Gramatica.py', 769), ('Inherits -> t_inherits par1 id par2', 'Inherits', 4, 'p_Inherits', 'Gramatica.py', 774), ('Inherits -> empty', 'Inherits', 1, 'p_Inherits', 'Gramatica.py', 775), ('Columnas -> Columnas coma Columna', 'Columnas', 3, 'p_Columnas', 'Gramatica.py', 784), ('Columnas -> Columna', 'Columnas', 1, 'p_Columnas', 'Gramatica.py', 785), ('Columna -> id Tipo Cond_CreateTB', 'Columna', 3, 'p_Columna', 'Gramatica.py', 795), ('Columna -> Constraint', 'Columna', 1, 'p_Columna', 'Gramatica.py', 796), ('Cond_CreateTB -> Constraint_CreateTB t_default id Cond_CreateTB', 'Cond_CreateTB', 4, 'p_Cond_CreateTB', 'Gramatica.py', 805), ('Cond_CreateTB -> Constraint_CreateTB t_not t_null Cond_CreateTB', 'Cond_CreateTB', 4, 'p_Cond_CreateTB', 'Gramatica.py', 806), ('Cond_CreateTB -> Constraint_CreateTB t_null Cond_CreateTB', 'Cond_CreateTB', 3, 'p_Cond_CreateTB', 'Gramatica.py', 807), ('Cond_CreateTB -> Constraint_CreateTB t_unique Cond_CreateTB', 'Cond_CreateTB', 3, 'p_Cond_CreateTB', 'Gramatica.py', 808), ('Cond_CreateTB -> Constraint_CreateTB t_check par1 EXP par2 Cond_CreateTB', 'Cond_CreateTB', 6, 'p_Cond_CreateTB', 'Gramatica.py', 809), ('Cond_CreateTB -> Constraint_CreateTB t_primary t_key Cond_CreateTB', 'Cond_CreateTB', 4, 'p_Cond_CreateTB', 'Gramatica.py', 810), ('Cond_CreateTB -> Constraint_CreateTB t_references id Cond_CreateTB', 'Cond_CreateTB', 4, 'p_Cond_CreateTB', 'Gramatica.py', 811), ('Cond_CreateTB -> empty', 'Cond_CreateTB', 1, 'p_Cond_CreateTB', 'Gramatica.py', 812), ('Constraint_CreateTB -> t_constraint id', 'Constraint_CreateTB', 2, 'p_Constraint_CreateTB', 'Gramatica.py', 846), ('Constraint_CreateTB -> empty', 'Constraint_CreateTB', 1, 'p_Constraint_CreateTB', 'Gramatica.py', 847), ('Constraint -> Constraint_CreateTB t_unique par1 Lista_ID par2', 'Constraint', 5, 'p_Constraint', 'Gramatica.py', 856), ('Constraint -> Constraint_CreateTB t_check par1 EXP par2', 'Constraint', 5, 'p_Constraint', 'Gramatica.py', 857), ('Constraint -> Constraint_CreateTB t_primary t_key par1 Lista_ID par2', 'Constraint', 6, 'p_Constraint', 'Gramatica.py', 858), ('Constraint -> Constraint_CreateTB t_foreign t_key par1 Lista_ID par2 t_references id par1 Lista_ID par2', 'Constraint', 11, 'p_Constraint', 'Gramatica.py', 859), ('Constraint -> empty', 'Constraint', 1, 'p_Constraint', 'Gramatica.py', 860), ('Tipo -> t_smallint', 'Tipo', 1, 'p_Tipo', 'Gramatica.py', 878), ('Tipo -> t_integer', 'Tipo', 1, 'p_Tipo', 'Gramatica.py', 879), ('Tipo -> t_bigint', 'Tipo', 1, 'p_Tipo', 'Gramatica.py', 880), ('Tipo -> t_decimal', 'Tipo', 1, 'p_Tipo', 'Gramatica.py', 881), ('Tipo -> t_numeric par1 entero par2', 'Tipo', 4, 'p_Tipo', 'Gramatica.py', 882), ('Tipo -> t_real', 'Tipo', 1, 'p_Tipo', 'Gramatica.py', 883), ('Tipo -> t_double t_precision', 'Tipo', 2, 'p_Tipo', 'Gramatica.py', 884), ('Tipo -> t_money', 'Tipo', 1, 'p_Tipo', 'Gramatica.py', 885), ('Tipo -> t_character t_varying par1 entero par2', 'Tipo', 5, 'p_Tipo', 'Gramatica.py', 886), ('Tipo -> t_varchar par1 entero par2', 'Tipo', 4, 'p_Tipo', 'Gramatica.py', 887), ('Tipo -> t_character par1 entero par2', 'Tipo', 4, 'p_Tipo', 'Gramatica.py', 888), ('Tipo -> t_charn par1 entero par2', 'Tipo', 4, 'p_Tipo', 'Gramatica.py', 889), ('Tipo -> t_text', 'Tipo', 1, 'p_Tipo', 'Gramatica.py', 890), ('Tipo -> t_boolean', 'Tipo', 1, 'p_Tipo', 'Gramatica.py', 891), ('Tipo -> t_date', 'Tipo', 1, 'p_Tipo', 'Gramatica.py', 892), ('Tipo -> id', 'Tipo', 1, 'p_Tipo', 'Gramatica.py', 893), ('Valor -> decimal', 'Valor', 1, 'p_Valor', 'Gramatica.py', 978), ('Valor -> entero', 'Valor', 1, 'p_Valor', 'Gramatica.py', 979), ('Valor -> string', 'Valor', 1, 'p_Valor', 'Gramatica.py', 980), ('Valor -> char', 'Valor', 1, 'p_Valor', 'Gramatica.py', 981), ('Valor -> t_true', 'Valor', 1, 'p_Valor', 'Gramatica.py', 982), ('Valor -> t_false', 'Valor', 1, 'p_Valor', 'Gramatica.py', 983), ('Valor -> id', 'Valor', 1, 'p_Valor2', 'Gramatica.py', 989), ('empty -> <empty>', 'empty', 0, 'p_empty', 'Gramatica.py', 994), ('EXP -> EXP mas EXP', 'EXP', 3, 'p_aritmeticas', 'Gramatica.py', 1001), ('EXP -> EXP menos EXP', 'EXP', 3, 'p_aritmeticas', 'Gramatica.py', 1002), ('EXP -> EXP asterisco EXP', 'EXP', 3, 'p_aritmeticas', 'Gramatica.py', 1003), ('EXP -> EXP div EXP', 'EXP', 3, 'p_aritmeticas', 'Gramatica.py', 1004), ('EXP -> EXP pot EXP', 'EXP', 3, 'p_aritmeticas', 'Gramatica.py', 1005), ('EXP -> EXP porcentaje EXP', 'EXP', 3, 'p_aritmeticas', 'Gramatica.py', 1006), ('EXP -> par1 EXP par2', 'EXP', 3, 'p_parentesis', 'Gramatica.py', 1011), ('EXP -> id par1 Lista_EXP par2', 'EXP', 4, 'p_funciones', 'Gramatica.py', 1017), ('EXP -> EXP mayor EXP', 'EXP', 3, 'p_relacionales', 'Gramatica.py', 1024), ('EXP -> EXP mayori EXP', 'EXP', 3, 'p_relacionales', 'Gramatica.py', 1025), ('EXP -> EXP menor EXP', 'EXP', 3, 'p_relacionales', 'Gramatica.py', 1026), ('EXP -> EXP menori EXP', 'EXP', 3, 'p_relacionales', 'Gramatica.py', 1027), ('EXP -> EXP igual EXP', 'EXP', 3, 'p_relacionales', 'Gramatica.py', 1028), ('EXP -> EXP diferente EXP', 'EXP', 3, 'p_relacionales', 'Gramatica.py', 1029), ('EXP -> EXP diferentede EXP', 'EXP', 3, 'p_relacionales', 'Gramatica.py', 1030), ('EXP -> EXP t_and EXP', 'EXP', 3, 'p_logicos', 'Gramatica.py', 1035), ('EXP -> EXP t_or EXP', 'EXP', 3, 'p_logicos', 'Gramatica.py', 1036), ('EXP -> mas EXP', 'EXP', 2, 'p_unario', 'Gramatica.py', 1042), ('EXP -> menos EXP', 'EXP', 2, 'p_unario', 'Gramatica.py', 1043), ('EXP -> t_not EXP', 'EXP', 2, 'p_unario', 'Gramatica.py', 1044), ('EXP -> Valor', 'EXP', 1, 'p_EXP_Valor', 'Gramatica.py', 1053), ('EXP -> id punto id', 'EXP', 3, 'p_EXP_Indices', 'Gramatica.py', 1058), ('EXP -> EXP t_as EXP', 'EXP', 3, 'p_EXP_IndicesAS', 'Gramatica.py', 1064), ('EXP -> t_avg par1 EXP par2', 'EXP', 4, 'p_exp_agregacion', 'Gramatica.py', 1071), ('EXP -> t_sum par1 EXP par2', 'EXP', 4, 'p_exp_agregacion', 'Gramatica.py', 1072), ('EXP -> t_count par1 EXP par2', 'EXP', 4, 'p_exp_agregacion', 'Gramatica.py', 1073), ('EXP -> t_count par1 asterisco par2', 'EXP', 4, 'p_exp_agregacion', 'Gramatica.py', 1074), ('EXP -> t_max par1 EXP par2', 'EXP', 4, 'p_exp_agregacion', 'Gramatica.py', 1075), ('EXP -> t_min par1 EXP par2', 'EXP', 4, 'p_exp_agregacion', 'Gramatica.py', 1076), ('EXP -> t_abs par1 EXP par2', 'EXP', 4, 'p_funciones_matematicas', 'Gramatica.py', 1081), ('EXP -> t_cbrt par1 EXP par2', 'EXP', 4, 'p_funciones_matematicas', 'Gramatica.py', 1082), ('EXP -> t_ceil par1 EXP par2', 'EXP', 4, 'p_funciones_matematicas', 'Gramatica.py', 1083), ('EXP -> t_ceiling par1 EXP par2', 'EXP', 4, 'p_funciones_matematicas', 'Gramatica.py', 1084), ('EXP -> t_degrees par1 EXP par2', 'EXP', 4, 'p_funciones_matematicas', 'Gramatica.py', 1085), ('EXP -> t_exp par1 EXP par2', 'EXP', 4, 'p_funciones_matematicas', 'Gramatica.py', 1086), ('EXP -> t_factorial par1 EXP par2', 'EXP', 4, 'p_funciones_matematicas', 'Gramatica.py', 1087), ('EXP -> t_floor par1 EXP par2', 'EXP', 4, 'p_funciones_matematicas', 'Gramatica.py', 1088), ('EXP -> t_gcd par1 Lista_EXP par2', 'EXP', 4, 'p_funciones_matematicas', 'Gramatica.py', 1089), ('EXP -> t_ln par1 EXP par2', 'EXP', 4, 'p_funciones_matematicas', 'Gramatica.py', 1090), ('EXP -> t_log par1 EXP par2', 'EXP', 4, 'p_funciones_matematicas', 'Gramatica.py', 1091), ('EXP -> t_pi par1 par2', 'EXP', 3, 'p_funciones_matematicas', 'Gramatica.py', 1092), ('EXP -> t_radians par1 EXP par2', 'EXP', 4, 'p_funciones_matematicas', 'Gramatica.py', 1093), ('EXP -> t_round par1 EXP par2', 'EXP', 4, 'p_funciones_matematicas', 'Gramatica.py', 1094), ('EXP -> t_min_scale par1 EXP par2', 'EXP', 4, 'p_funciones_matematicas', 'Gramatica.py', 1095), ('EXP -> t_scale par1 EXP par2', 'EXP', 4, 'p_funciones_matematicas', 'Gramatica.py', 1096), ('EXP -> t_sign par1 EXP par2', 'EXP', 4, 'p_funciones_matematicas', 'Gramatica.py', 1097), ('EXP -> t_sqrt par1 EXP par2', 'EXP', 4, 'p_funciones_matematicas', 'Gramatica.py', 1098), ('EXP -> t_trim_scale par1 EXP par2', 'EXP', 4, 'p_funciones_matematicas', 'Gramatica.py', 1099), ('EXP -> t_trunc par1 EXP par2', 'EXP', 4, 'p_funciones_matematicas', 'Gramatica.py', 1100), ('EXP -> t_width_bucket par1 Lista_EXP par2', 'EXP', 4, 'p_funciones_matematicas', 'Gramatica.py', 1101), ('EXP -> t_random par1 par2', 'EXP', 3, 'p_funciones_matematicas', 'Gramatica.py', 1102), ('EXP -> t_setseed par1 EXP par2', 'EXP', 4, 'p_funciones_matematicas', 'Gramatica.py', 1103), ('EXP -> t_div par1 EXP coma EXP par2', 'EXP', 6, 'p_funciones_matematicas2', 'Gramatica.py', 1108), ('EXP -> t_mod par1 EXP coma EXP par2', 'EXP', 6, 'p_funciones_matematicas2', 'Gramatica.py', 1109), ('EXP -> t_power par1 EXP coma EXP par2', 'EXP', 6, 'p_funciones_matematicas2', 'Gramatica.py', 1110), ('EXP -> t_acos par1 EXP par2', 'EXP', 4, 'p_funciones_Trigonometricas', 'Gramatica.py', 1115), ('EXP -> t_acosd par1 EXP par2', 'EXP', 4, 'p_funciones_Trigonometricas', 'Gramatica.py', 1116), ('EXP -> t_asin par1 EXP par2', 'EXP', 4, 'p_funciones_Trigonometricas', 'Gramatica.py', 1117), ('EXP -> t_asind par1 EXP par2', 'EXP', 4, 'p_funciones_Trigonometricas', 'Gramatica.py', 1118), ('EXP -> t_atan par1 EXP par2', 'EXP', 4, 'p_funciones_Trigonometricas', 'Gramatica.py', 1119), ('EXP -> t_atand par1 EXP par2', 'EXP', 4, 'p_funciones_Trigonometricas', 'Gramatica.py', 1120), ('EXP -> t_cos par1 EXP par2', 'EXP', 4, 'p_funciones_Trigonometricas', 'Gramatica.py', 1121), ('EXP -> t_cosd par1 EXP par2', 'EXP', 4, 'p_funciones_Trigonometricas', 'Gramatica.py', 1122), ('EXP -> t_cot par1 EXP par2', 'EXP', 4, 'p_funciones_Trigonometricas', 'Gramatica.py', 1123), ('EXP -> t_cotd par1 EXP par2', 'EXP', 4, 'p_funciones_Trigonometricas', 'Gramatica.py', 1124), ('EXP -> t_sin par1 EXP par2', 'EXP', 4, 'p_funciones_Trigonometricas', 'Gramatica.py', 1125), ('EXP -> t_sind par1 EXP par2', 'EXP', 4, 'p_funciones_Trigonometricas', 'Gramatica.py', 1126), ('EXP -> t_tan par1 EXP par2', 'EXP', 4, 'p_funciones_Trigonometricas', 'Gramatica.py', 1127), ('EXP -> t_tand par1 EXP par2', 'EXP', 4, 'p_funciones_Trigonometricas', 'Gramatica.py', 1128), ('EXP -> t_atan2 par1 EXP coma EXP par2', 'EXP', 6, 'p_funciones_Trigonometricas1', 'Gramatica.py', 1133), ('EXP -> t_atan2d par1 EXP coma EXP par2', 'EXP', 6, 'p_funciones_Trigonometricas1', 'Gramatica.py', 1134), ('EXP -> t_length par1 id par2', 'EXP', 4, 'p_funciones_String_Binarias', 'Gramatica.py', 1138), ('EXP -> t_substring par1 char coma entero coma entero par2', 'EXP', 8, 'p_funciones_String_Binarias', 'Gramatica.py', 1139), ('EXP -> t_trim par1 char par2', 'EXP', 4, 'p_funciones_String_Binarias', 'Gramatica.py', 1140), ('EXP -> t_md5 par1 char par2', 'EXP', 4, 'p_funciones_String_Binarias', 'Gramatica.py', 1141), ('EXP -> t_sha256 par1 par2', 'EXP', 3, 'p_funciones_String_Binarias', 'Gramatica.py', 1142), ('EXP -> t_substr par1 par2', 'EXP', 3, 'p_funciones_String_Binarias', 'Gramatica.py', 1143), ('EXP -> t_get_byte par1 par2', 'EXP', 3, 'p_funciones_String_Binarias', 'Gramatica.py', 1144), ('EXP -> t_set_byte par1 par2', 'EXP', 3, 'p_funciones_String_Binarias', 'Gramatica.py', 1145), ('EXP -> t_convert par1 EXP t_as Tipo par2', 'EXP', 6, 'p_funciones_String_Binarias', 'Gramatica.py', 1146), ('EXP -> t_encode par1 par2', 'EXP', 3, 'p_funciones_String_Binarias', 'Gramatica.py', 1147), ('EXP -> t_decode par1 par2', 'EXP', 3, 'p_funciones_String_Binarias', 'Gramatica.py', 1148), ('Lista_ID -> Lista_ID coma id', 'Lista_ID', 3, 'p_Lista_ID', 'Gramatica.py', 1158), ('Lista_ID -> id', 'Lista_ID', 1, 'p_Lista_ID', 'Gramatica.py', 1159), ('Lista_Enum -> Lista_Enum coma char', 'Lista_Enum', 3, 'p_Lista_Enum', 'Gramatica.py', 1168), ('Lista_Enum -> char', 'Lista_Enum', 1, 'p_Lista_Enum', 'Gramatica.py', 1169), ('Lista_EXP -> Lista_EXP coma EXP', 'Lista_EXP', 3, 'p_Lista_EXP', 'Gramatica.py', 1178), ('Lista_EXP -> EXP', 'Lista_EXP', 1, 'p_Lista_EXP', 'Gramatica.py', 1179), ('Lista_Alias -> Lista_Alias coma Nombre_Alias', 'Lista_Alias', 3, 'p_Lista_Alias', 'Gramatica.py', 1194), ('Lista_Alias -> Nombre_Alias', 'Lista_Alias', 1, 'p_Lista_Alias', 'Gramatica.py', 1195), ('Nombre_Alias -> id id', 'Nombre_Alias', 2, 'p_Nombre_Alias', 'Gramatica.py', 1204)] |
items = "ABCDE"
pairs = []
for a in range(len(items)):
for b in range(len(items)):
pairs.append((items[a], items[b]))
print(pairs)
ret = [(items[a], items[b]) for a in range(len(items)) for b in range( len(items))]
print(ret)
ret2 = [(x, y) for x in range(2) for y in range(2)]
ret3 = [(x, y) for x in range(2) for y in range(x, 2)]
print(ret2)
print(ret3)
| items = 'ABCDE'
pairs = []
for a in range(len(items)):
for b in range(len(items)):
pairs.append((items[a], items[b]))
print(pairs)
ret = [(items[a], items[b]) for a in range(len(items)) for b in range(len(items))]
print(ret)
ret2 = [(x, y) for x in range(2) for y in range(2)]
ret3 = [(x, y) for x in range(2) for y in range(x, 2)]
print(ret2)
print(ret3) |
# -*- coding: utf-8 -*-
def skip(model, layer, inputs):
inputs[layer.name] = inputs[layer.input.name]
return model, layer, inputs
| def skip(model, layer, inputs):
inputs[layer.name] = inputs[layer.input.name]
return (model, layer, inputs) |
def fixing_float(size, n_float):
fmt = ".{n}f"
fix = [None]
for i in range(size):
fix.append(fmt.format(n=n_float))
return fix
| def fixing_float(size, n_float):
fmt = '.{n}f'
fix = [None]
for i in range(size):
fix.append(fmt.format(n=n_float))
return fix |
#
# PySNMP MIB module UPS-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/UPS-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 18:50:47 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, ConstraintsUnion, ValueSizeConstraint, ConstraintsIntersection, SingleValueConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueRangeConstraint", "ConstraintsUnion", "ValueSizeConstraint", "ConstraintsIntersection", "SingleValueConstraint")
ObjectGroup, NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "ObjectGroup", "NotificationGroup", "ModuleCompliance")
MibScalar, MibTable, MibTableRow, MibTableColumn, iso, Unsigned32, Integer32, MibIdentifier, Counter32, mib_2, ModuleIdentity, ObjectIdentity, Gauge32, TimeTicks, Counter64, Bits, IpAddress, NotificationType = mibBuilder.importSymbols("SNMPv2-SMI", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "iso", "Unsigned32", "Integer32", "MibIdentifier", "Counter32", "mib-2", "ModuleIdentity", "ObjectIdentity", "Gauge32", "TimeTicks", "Counter64", "Bits", "IpAddress", "NotificationType")
TimeStamp, AutonomousType, TimeInterval, TestAndIncr, TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TimeStamp", "AutonomousType", "TimeInterval", "TestAndIncr", "TextualConvention", "DisplayString")
upsMIB = ModuleIdentity((1, 3, 6, 1, 2, 1, 33))
if mibBuilder.loadTexts: upsMIB.setLastUpdated('9402230000Z')
if mibBuilder.loadTexts: upsMIB.setOrganization('IETF UPS MIB Working Group')
class PositiveInteger(TextualConvention, Integer32):
status = 'current'
displayHint = 'd'
subtypeSpec = Integer32.subtypeSpec + ValueRangeConstraint(1, 2147483647)
class NonNegativeInteger(TextualConvention, Integer32):
status = 'current'
displayHint = 'd'
subtypeSpec = Integer32.subtypeSpec + ValueRangeConstraint(0, 2147483647)
upsObjects = MibIdentifier((1, 3, 6, 1, 2, 1, 33, 1))
upsIdent = MibIdentifier((1, 3, 6, 1, 2, 1, 33, 1, 1))
upsIdentManufacturer = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 1, 1), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 31))).setMaxAccess("readonly")
if mibBuilder.loadTexts: upsIdentManufacturer.setStatus('current')
upsIdentModel = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 1, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 63))).setMaxAccess("readonly")
if mibBuilder.loadTexts: upsIdentModel.setStatus('current')
upsIdentUPSSoftwareVersion = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 1, 3), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 63))).setMaxAccess("readonly")
if mibBuilder.loadTexts: upsIdentUPSSoftwareVersion.setStatus('current')
upsIdentAgentSoftwareVersion = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 1, 4), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 63))).setMaxAccess("readonly")
if mibBuilder.loadTexts: upsIdentAgentSoftwareVersion.setStatus('current')
upsIdentName = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 1, 5), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 63))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: upsIdentName.setStatus('current')
upsIdentAttachedDevices = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 1, 6), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 63))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: upsIdentAttachedDevices.setStatus('current')
upsBattery = MibIdentifier((1, 3, 6, 1, 2, 1, 33, 1, 2))
upsBatteryStatus = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 2, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("unknown", 1), ("batteryNormal", 2), ("batteryLow", 3), ("batteryDepleted", 4)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: upsBatteryStatus.setStatus('current')
upsSecondsOnBattery = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 2, 2), NonNegativeInteger()).setUnits('seconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: upsSecondsOnBattery.setStatus('current')
upsEstimatedMinutesRemaining = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 2, 3), PositiveInteger()).setUnits('minutes').setMaxAccess("readonly")
if mibBuilder.loadTexts: upsEstimatedMinutesRemaining.setStatus('current')
upsEstimatedChargeRemaining = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 2, 4), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 100))).setUnits('percent').setMaxAccess("readonly")
if mibBuilder.loadTexts: upsEstimatedChargeRemaining.setStatus('current')
upsBatteryVoltage = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 2, 5), NonNegativeInteger()).setUnits('0.1 Volt DC').setMaxAccess("readonly")
if mibBuilder.loadTexts: upsBatteryVoltage.setStatus('current')
upsBatteryCurrent = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 2, 6), Integer32()).setUnits('0.1 Amp DC').setMaxAccess("readonly")
if mibBuilder.loadTexts: upsBatteryCurrent.setStatus('current')
upsBatteryTemperature = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 2, 7), Integer32()).setUnits('degrees Centigrade').setMaxAccess("readonly")
if mibBuilder.loadTexts: upsBatteryTemperature.setStatus('current')
upsInput = MibIdentifier((1, 3, 6, 1, 2, 1, 33, 1, 3))
upsInputLineBads = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 3, 1), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: upsInputLineBads.setStatus('current')
upsInputNumLines = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 3, 2), NonNegativeInteger()).setMaxAccess("readonly")
if mibBuilder.loadTexts: upsInputNumLines.setStatus('current')
upsInputTable = MibTable((1, 3, 6, 1, 2, 1, 33, 1, 3, 3), )
if mibBuilder.loadTexts: upsInputTable.setStatus('current')
upsInputEntry = MibTableRow((1, 3, 6, 1, 2, 1, 33, 1, 3, 3, 1), ).setIndexNames((0, "UPS-MIB", "upsInputLineIndex"))
if mibBuilder.loadTexts: upsInputEntry.setStatus('current')
upsInputLineIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 33, 1, 3, 3, 1, 1), PositiveInteger())
if mibBuilder.loadTexts: upsInputLineIndex.setStatus('current')
upsInputFrequency = MibTableColumn((1, 3, 6, 1, 2, 1, 33, 1, 3, 3, 1, 2), NonNegativeInteger()).setUnits('0.1 Hertz').setMaxAccess("readonly")
if mibBuilder.loadTexts: upsInputFrequency.setStatus('current')
upsInputVoltage = MibTableColumn((1, 3, 6, 1, 2, 1, 33, 1, 3, 3, 1, 3), NonNegativeInteger()).setUnits('RMS Volts').setMaxAccess("readonly")
if mibBuilder.loadTexts: upsInputVoltage.setStatus('current')
upsInputCurrent = MibTableColumn((1, 3, 6, 1, 2, 1, 33, 1, 3, 3, 1, 4), NonNegativeInteger()).setUnits('0.1 RMS Amp').setMaxAccess("readonly")
if mibBuilder.loadTexts: upsInputCurrent.setStatus('current')
upsInputTruePower = MibTableColumn((1, 3, 6, 1, 2, 1, 33, 1, 3, 3, 1, 5), NonNegativeInteger()).setUnits('Watts').setMaxAccess("readonly")
if mibBuilder.loadTexts: upsInputTruePower.setStatus('current')
upsOutput = MibIdentifier((1, 3, 6, 1, 2, 1, 33, 1, 4))
upsOutputSource = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 4, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7))).clone(namedValues=NamedValues(("other", 1), ("none", 2), ("normal", 3), ("bypass", 4), ("battery", 5), ("booster", 6), ("reducer", 7)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: upsOutputSource.setStatus('current')
upsOutputFrequency = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 4, 2), NonNegativeInteger()).setUnits('0.1 Hertz').setMaxAccess("readonly")
if mibBuilder.loadTexts: upsOutputFrequency.setStatus('current')
upsOutputNumLines = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 4, 3), NonNegativeInteger()).setMaxAccess("readonly")
if mibBuilder.loadTexts: upsOutputNumLines.setStatus('current')
upsOutputTable = MibTable((1, 3, 6, 1, 2, 1, 33, 1, 4, 4), )
if mibBuilder.loadTexts: upsOutputTable.setStatus('current')
upsOutputEntry = MibTableRow((1, 3, 6, 1, 2, 1, 33, 1, 4, 4, 1), ).setIndexNames((0, "UPS-MIB", "upsOutputLineIndex"))
if mibBuilder.loadTexts: upsOutputEntry.setStatus('current')
upsOutputLineIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 33, 1, 4, 4, 1, 1), PositiveInteger())
if mibBuilder.loadTexts: upsOutputLineIndex.setStatus('current')
upsOutputVoltage = MibTableColumn((1, 3, 6, 1, 2, 1, 33, 1, 4, 4, 1, 2), NonNegativeInteger()).setUnits('RMS Volts').setMaxAccess("readonly")
if mibBuilder.loadTexts: upsOutputVoltage.setStatus('current')
upsOutputCurrent = MibTableColumn((1, 3, 6, 1, 2, 1, 33, 1, 4, 4, 1, 3), NonNegativeInteger()).setUnits('0.1 RMS Amp').setMaxAccess("readonly")
if mibBuilder.loadTexts: upsOutputCurrent.setStatus('current')
upsOutputPower = MibTableColumn((1, 3, 6, 1, 2, 1, 33, 1, 4, 4, 1, 4), NonNegativeInteger()).setUnits('Watts').setMaxAccess("readonly")
if mibBuilder.loadTexts: upsOutputPower.setStatus('current')
upsOutputPercentLoad = MibTableColumn((1, 3, 6, 1, 2, 1, 33, 1, 4, 4, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 200))).setUnits('percent').setMaxAccess("readonly")
if mibBuilder.loadTexts: upsOutputPercentLoad.setStatus('current')
upsBypass = MibIdentifier((1, 3, 6, 1, 2, 1, 33, 1, 5))
upsBypassFrequency = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 5, 1), NonNegativeInteger()).setUnits('0.1 Hertz').setMaxAccess("readonly")
if mibBuilder.loadTexts: upsBypassFrequency.setStatus('current')
upsBypassNumLines = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 5, 2), NonNegativeInteger()).setMaxAccess("readonly")
if mibBuilder.loadTexts: upsBypassNumLines.setStatus('current')
upsBypassTable = MibTable((1, 3, 6, 1, 2, 1, 33, 1, 5, 3), )
if mibBuilder.loadTexts: upsBypassTable.setStatus('current')
upsBypassEntry = MibTableRow((1, 3, 6, 1, 2, 1, 33, 1, 5, 3, 1), ).setIndexNames((0, "UPS-MIB", "upsBypassLineIndex"))
if mibBuilder.loadTexts: upsBypassEntry.setStatus('current')
upsBypassLineIndex = MibTableColumn((1, 3, 6, 1, 2, 1, 33, 1, 5, 3, 1, 1), PositiveInteger())
if mibBuilder.loadTexts: upsBypassLineIndex.setStatus('current')
upsBypassVoltage = MibTableColumn((1, 3, 6, 1, 2, 1, 33, 1, 5, 3, 1, 2), NonNegativeInteger()).setUnits('RMS Volts').setMaxAccess("readonly")
if mibBuilder.loadTexts: upsBypassVoltage.setStatus('current')
upsBypassCurrent = MibTableColumn((1, 3, 6, 1, 2, 1, 33, 1, 5, 3, 1, 3), NonNegativeInteger()).setUnits('0.1 RMS Amp').setMaxAccess("readonly")
if mibBuilder.loadTexts: upsBypassCurrent.setStatus('current')
upsBypassPower = MibTableColumn((1, 3, 6, 1, 2, 1, 33, 1, 5, 3, 1, 4), NonNegativeInteger()).setUnits('Watts').setMaxAccess("readonly")
if mibBuilder.loadTexts: upsBypassPower.setStatus('current')
upsAlarm = MibIdentifier((1, 3, 6, 1, 2, 1, 33, 1, 6))
upsAlarmsPresent = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 6, 1), Gauge32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: upsAlarmsPresent.setStatus('current')
upsAlarmTable = MibTable((1, 3, 6, 1, 2, 1, 33, 1, 6, 2), )
if mibBuilder.loadTexts: upsAlarmTable.setStatus('current')
upsAlarmEntry = MibTableRow((1, 3, 6, 1, 2, 1, 33, 1, 6, 2, 1), ).setIndexNames((0, "UPS-MIB", "upsAlarmId"))
if mibBuilder.loadTexts: upsAlarmEntry.setStatus('current')
upsAlarmId = MibTableColumn((1, 3, 6, 1, 2, 1, 33, 1, 6, 2, 1, 1), PositiveInteger())
if mibBuilder.loadTexts: upsAlarmId.setStatus('current')
upsAlarmDescr = MibTableColumn((1, 3, 6, 1, 2, 1, 33, 1, 6, 2, 1, 2), AutonomousType()).setMaxAccess("readonly")
if mibBuilder.loadTexts: upsAlarmDescr.setStatus('current')
upsAlarmTime = MibTableColumn((1, 3, 6, 1, 2, 1, 33, 1, 6, 2, 1, 3), TimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: upsAlarmTime.setStatus('current')
upsWellKnownAlarms = MibIdentifier((1, 3, 6, 1, 2, 1, 33, 1, 6, 3))
upsAlarmBatteryBad = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 1))
if mibBuilder.loadTexts: upsAlarmBatteryBad.setStatus('current')
upsAlarmOnBattery = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 2))
if mibBuilder.loadTexts: upsAlarmOnBattery.setStatus('current')
upsAlarmLowBattery = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 3))
if mibBuilder.loadTexts: upsAlarmLowBattery.setStatus('current')
upsAlarmDepletedBattery = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 4))
if mibBuilder.loadTexts: upsAlarmDepletedBattery.setStatus('current')
upsAlarmTempBad = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 5))
if mibBuilder.loadTexts: upsAlarmTempBad.setStatus('current')
upsAlarmInputBad = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 6))
if mibBuilder.loadTexts: upsAlarmInputBad.setStatus('current')
upsAlarmOutputBad = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 7))
if mibBuilder.loadTexts: upsAlarmOutputBad.setStatus('current')
upsAlarmOutputOverload = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 8))
if mibBuilder.loadTexts: upsAlarmOutputOverload.setStatus('current')
upsAlarmOnBypass = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 9))
if mibBuilder.loadTexts: upsAlarmOnBypass.setStatus('current')
upsAlarmBypassBad = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 10))
if mibBuilder.loadTexts: upsAlarmBypassBad.setStatus('current')
upsAlarmOutputOffAsRequested = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 11))
if mibBuilder.loadTexts: upsAlarmOutputOffAsRequested.setStatus('current')
upsAlarmUpsOffAsRequested = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 12))
if mibBuilder.loadTexts: upsAlarmUpsOffAsRequested.setStatus('current')
upsAlarmChargerFailed = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 13))
if mibBuilder.loadTexts: upsAlarmChargerFailed.setStatus('current')
upsAlarmUpsOutputOff = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 14))
if mibBuilder.loadTexts: upsAlarmUpsOutputOff.setStatus('current')
upsAlarmUpsSystemOff = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 15))
if mibBuilder.loadTexts: upsAlarmUpsSystemOff.setStatus('current')
upsAlarmFanFailure = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 16))
if mibBuilder.loadTexts: upsAlarmFanFailure.setStatus('current')
upsAlarmFuseFailure = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 17))
if mibBuilder.loadTexts: upsAlarmFuseFailure.setStatus('current')
upsAlarmGeneralFault = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 18))
if mibBuilder.loadTexts: upsAlarmGeneralFault.setStatus('current')
upsAlarmDiagnosticTestFailed = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 19))
if mibBuilder.loadTexts: upsAlarmDiagnosticTestFailed.setStatus('current')
upsAlarmCommunicationsLost = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 20))
if mibBuilder.loadTexts: upsAlarmCommunicationsLost.setStatus('current')
upsAlarmAwaitingPower = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 21))
if mibBuilder.loadTexts: upsAlarmAwaitingPower.setStatus('current')
upsAlarmShutdownPending = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 22))
if mibBuilder.loadTexts: upsAlarmShutdownPending.setStatus('current')
upsAlarmShutdownImminent = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 23))
if mibBuilder.loadTexts: upsAlarmShutdownImminent.setStatus('current')
upsAlarmTestInProgress = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 24))
if mibBuilder.loadTexts: upsAlarmTestInProgress.setStatus('current')
upsTest = MibIdentifier((1, 3, 6, 1, 2, 1, 33, 1, 7))
upsTestId = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 7, 1), ObjectIdentifier()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: upsTestId.setStatus('current')
upsTestSpinLock = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 7, 2), TestAndIncr()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: upsTestSpinLock.setStatus('current')
upsTestResultsSummary = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 7, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6))).clone(namedValues=NamedValues(("donePass", 1), ("doneWarning", 2), ("doneError", 3), ("aborted", 4), ("inProgress", 5), ("noTestsInitiated", 6)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: upsTestResultsSummary.setStatus('current')
upsTestResultsDetail = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 7, 4), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 255))).setMaxAccess("readonly")
if mibBuilder.loadTexts: upsTestResultsDetail.setStatus('current')
upsTestStartTime = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 7, 5), TimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: upsTestStartTime.setStatus('current')
upsTestElapsedTime = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 7, 6), TimeInterval()).setMaxAccess("readonly")
if mibBuilder.loadTexts: upsTestElapsedTime.setStatus('current')
upsWellKnownTests = MibIdentifier((1, 3, 6, 1, 2, 1, 33, 1, 7, 7))
upsTestNoTestsInitiated = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 7, 7, 1))
if mibBuilder.loadTexts: upsTestNoTestsInitiated.setStatus('current')
upsTestAbortTestInProgress = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 7, 7, 2))
if mibBuilder.loadTexts: upsTestAbortTestInProgress.setStatus('current')
upsTestGeneralSystemsTest = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 7, 7, 3))
if mibBuilder.loadTexts: upsTestGeneralSystemsTest.setStatus('current')
upsTestQuickBatteryTest = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 7, 7, 4))
if mibBuilder.loadTexts: upsTestQuickBatteryTest.setStatus('current')
upsTestDeepBatteryCalibration = ObjectIdentity((1, 3, 6, 1, 2, 1, 33, 1, 7, 7, 5))
if mibBuilder.loadTexts: upsTestDeepBatteryCalibration.setStatus('current')
upsControl = MibIdentifier((1, 3, 6, 1, 2, 1, 33, 1, 8))
upsShutdownType = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 8, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("output", 1), ("system", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: upsShutdownType.setStatus('current')
upsShutdownAfterDelay = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 8, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-1, 2147483648))).setUnits('seconds').setMaxAccess("readwrite")
if mibBuilder.loadTexts: upsShutdownAfterDelay.setStatus('current')
upsStartupAfterDelay = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 8, 3), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-1, 2147483648))).setUnits('seconds').setMaxAccess("readwrite")
if mibBuilder.loadTexts: upsStartupAfterDelay.setStatus('current')
upsRebootWithDuration = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 8, 4), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-1, 300))).setUnits('seconds').setMaxAccess("readwrite")
if mibBuilder.loadTexts: upsRebootWithDuration.setStatus('current')
upsAutoRestart = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 8, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("on", 1), ("off", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: upsAutoRestart.setStatus('current')
upsConfig = MibIdentifier((1, 3, 6, 1, 2, 1, 33, 1, 9))
upsConfigInputVoltage = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 9, 1), NonNegativeInteger()).setUnits('RMS Volts').setMaxAccess("readwrite")
if mibBuilder.loadTexts: upsConfigInputVoltage.setStatus('current')
upsConfigInputFreq = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 9, 2), NonNegativeInteger()).setUnits('0.1 Hertz').setMaxAccess("readwrite")
if mibBuilder.loadTexts: upsConfigInputFreq.setStatus('current')
upsConfigOutputVoltage = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 9, 3), NonNegativeInteger()).setUnits('RMS Volts').setMaxAccess("readwrite")
if mibBuilder.loadTexts: upsConfigOutputVoltage.setStatus('current')
upsConfigOutputFreq = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 9, 4), NonNegativeInteger()).setUnits('0.1 Hertz').setMaxAccess("readwrite")
if mibBuilder.loadTexts: upsConfigOutputFreq.setStatus('current')
upsConfigOutputVA = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 9, 5), NonNegativeInteger()).setUnits('Volt-Amps').setMaxAccess("readonly")
if mibBuilder.loadTexts: upsConfigOutputVA.setStatus('current')
upsConfigOutputPower = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 9, 6), NonNegativeInteger()).setUnits('Watts').setMaxAccess("readonly")
if mibBuilder.loadTexts: upsConfigOutputPower.setStatus('current')
upsConfigLowBattTime = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 9, 7), NonNegativeInteger()).setUnits('minutes').setMaxAccess("readwrite")
if mibBuilder.loadTexts: upsConfigLowBattTime.setStatus('current')
upsConfigAudibleStatus = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 9, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("disabled", 1), ("enabled", 2), ("muted", 3)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: upsConfigAudibleStatus.setStatus('current')
upsConfigLowVoltageTransferPoint = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 9, 9), NonNegativeInteger()).setUnits('RMS Volts').setMaxAccess("readwrite")
if mibBuilder.loadTexts: upsConfigLowVoltageTransferPoint.setStatus('current')
upsConfigHighVoltageTransferPoint = MibScalar((1, 3, 6, 1, 2, 1, 33, 1, 9, 10), NonNegativeInteger()).setUnits('RMS Volts').setMaxAccess("readwrite")
if mibBuilder.loadTexts: upsConfigHighVoltageTransferPoint.setStatus('current')
upsTraps = MibIdentifier((1, 3, 6, 1, 2, 1, 33, 2))
upsTrapOnBattery = NotificationType((1, 3, 6, 1, 2, 1, 33, 2, 1)).setObjects(("UPS-MIB", "upsEstimatedMinutesRemaining"), ("UPS-MIB", "upsSecondsOnBattery"), ("UPS-MIB", "upsConfigLowBattTime"))
if mibBuilder.loadTexts: upsTrapOnBattery.setStatus('current')
upsTrapTestCompleted = NotificationType((1, 3, 6, 1, 2, 1, 33, 2, 2)).setObjects(("UPS-MIB", "upsTestId"), ("UPS-MIB", "upsTestSpinLock"), ("UPS-MIB", "upsTestResultsSummary"), ("UPS-MIB", "upsTestResultsDetail"), ("UPS-MIB", "upsTestStartTime"), ("UPS-MIB", "upsTestElapsedTime"))
if mibBuilder.loadTexts: upsTrapTestCompleted.setStatus('current')
upsTrapAlarmEntryAdded = NotificationType((1, 3, 6, 1, 2, 1, 33, 2, 3)).setObjects(("UPS-MIB", "upsAlarmId"), ("UPS-MIB", "upsAlarmDescr"))
if mibBuilder.loadTexts: upsTrapAlarmEntryAdded.setStatus('current')
upsTrapAlarmEntryRemoved = NotificationType((1, 3, 6, 1, 2, 1, 33, 2, 4)).setObjects(("UPS-MIB", "upsAlarmId"), ("UPS-MIB", "upsAlarmDescr"))
if mibBuilder.loadTexts: upsTrapAlarmEntryRemoved.setStatus('current')
upsConformance = MibIdentifier((1, 3, 6, 1, 2, 1, 33, 3))
upsCompliances = MibIdentifier((1, 3, 6, 1, 2, 1, 33, 3, 1))
upsSubsetCompliance = ModuleCompliance((1, 3, 6, 1, 2, 1, 33, 3, 1, 1)).setObjects(("UPS-MIB", "upsSubsetIdentGroup"), ("UPS-MIB", "upsSubsetBatteryGroup"), ("UPS-MIB", "upsSubsetInputGroup"), ("UPS-MIB", "upsSubsetOutputGroup"), ("UPS-MIB", "upsSubsetAlarmGroup"), ("UPS-MIB", "upsSubsetControlGroup"), ("UPS-MIB", "upsSubsetConfigGroup"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsSubsetCompliance = upsSubsetCompliance.setStatus('current')
upsBasicCompliance = ModuleCompliance((1, 3, 6, 1, 2, 1, 33, 3, 1, 2)).setObjects(("UPS-MIB", "upsBasicIdentGroup"), ("UPS-MIB", "upsBasicBatteryGroup"), ("UPS-MIB", "upsBasicInputGroup"), ("UPS-MIB", "upsBasicOutputGroup"), ("UPS-MIB", "upsBasicAlarmGroup"), ("UPS-MIB", "upsBasicTestGroup"), ("UPS-MIB", "upsBasicControlGroup"), ("UPS-MIB", "upsBasicConfigGroup"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsBasicCompliance = upsBasicCompliance.setStatus('current')
upsFullCompliance = ModuleCompliance((1, 3, 6, 1, 2, 1, 33, 3, 1, 3)).setObjects(("UPS-MIB", "upsFullIdentGroup"), ("UPS-MIB", "upsFullBatteryGroup"), ("UPS-MIB", "upsFullInputGroup"), ("UPS-MIB", "upsFullOutputGroup"), ("UPS-MIB", "upsFullAlarmGroup"), ("UPS-MIB", "upsFullTestGroup"), ("UPS-MIB", "upsFullControlGroup"), ("UPS-MIB", "upsFullConfigGroup"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsFullCompliance = upsFullCompliance.setStatus('current')
upsGroups = MibIdentifier((1, 3, 6, 1, 2, 1, 33, 3, 2))
upsSubsetGroups = MibIdentifier((1, 3, 6, 1, 2, 1, 33, 3, 2, 1))
upsSubsetIdentGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 33, 3, 2, 1, 1)).setObjects(("UPS-MIB", "upsIdentManufacturer"), ("UPS-MIB", "upsIdentModel"), ("UPS-MIB", "upsIdentAgentSoftwareVersion"), ("UPS-MIB", "upsIdentName"), ("UPS-MIB", "upsIdentAttachedDevices"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsSubsetIdentGroup = upsSubsetIdentGroup.setStatus('current')
upsSubsetBatteryGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 33, 3, 2, 1, 2)).setObjects(("UPS-MIB", "upsBatteryStatus"), ("UPS-MIB", "upsSecondsOnBattery"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsSubsetBatteryGroup = upsSubsetBatteryGroup.setStatus('current')
upsSubsetInputGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 33, 3, 2, 1, 3)).setObjects(("UPS-MIB", "upsInputLineBads"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsSubsetInputGroup = upsSubsetInputGroup.setStatus('current')
upsSubsetOutputGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 33, 3, 2, 1, 4)).setObjects(("UPS-MIB", "upsOutputSource"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsSubsetOutputGroup = upsSubsetOutputGroup.setStatus('current')
upsSubsetAlarmGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 33, 3, 2, 1, 6)).setObjects(("UPS-MIB", "upsAlarmsPresent"), ("UPS-MIB", "upsAlarmDescr"), ("UPS-MIB", "upsAlarmTime"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsSubsetAlarmGroup = upsSubsetAlarmGroup.setStatus('current')
upsSubsetControlGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 33, 3, 2, 1, 8)).setObjects(("UPS-MIB", "upsShutdownType"), ("UPS-MIB", "upsShutdownAfterDelay"), ("UPS-MIB", "upsAutoRestart"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsSubsetControlGroup = upsSubsetControlGroup.setStatus('current')
upsSubsetConfigGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 33, 3, 2, 1, 9)).setObjects(("UPS-MIB", "upsConfigInputVoltage"), ("UPS-MIB", "upsConfigInputFreq"), ("UPS-MIB", "upsConfigOutputVoltage"), ("UPS-MIB", "upsConfigOutputFreq"), ("UPS-MIB", "upsConfigOutputVA"), ("UPS-MIB", "upsConfigOutputPower"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsSubsetConfigGroup = upsSubsetConfigGroup.setStatus('current')
upsBasicGroups = MibIdentifier((1, 3, 6, 1, 2, 1, 33, 3, 2, 2))
upsBasicIdentGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 33, 3, 2, 2, 1)).setObjects(("UPS-MIB", "upsIdentManufacturer"), ("UPS-MIB", "upsIdentModel"), ("UPS-MIB", "upsIdentUPSSoftwareVersion"), ("UPS-MIB", "upsIdentAgentSoftwareVersion"), ("UPS-MIB", "upsIdentName"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsBasicIdentGroup = upsBasicIdentGroup.setStatus('current')
upsBasicBatteryGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 33, 3, 2, 2, 2)).setObjects(("UPS-MIB", "upsBatteryStatus"), ("UPS-MIB", "upsSecondsOnBattery"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsBasicBatteryGroup = upsBasicBatteryGroup.setStatus('current')
upsBasicInputGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 33, 3, 2, 2, 3)).setObjects(("UPS-MIB", "upsInputLineBads"), ("UPS-MIB", "upsInputNumLines"), ("UPS-MIB", "upsInputFrequency"), ("UPS-MIB", "upsInputVoltage"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsBasicInputGroup = upsBasicInputGroup.setStatus('current')
upsBasicOutputGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 33, 3, 2, 2, 4)).setObjects(("UPS-MIB", "upsOutputSource"), ("UPS-MIB", "upsOutputFrequency"), ("UPS-MIB", "upsOutputNumLines"), ("UPS-MIB", "upsOutputVoltage"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsBasicOutputGroup = upsBasicOutputGroup.setStatus('current')
upsBasicBypassGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 33, 3, 2, 2, 5)).setObjects(("UPS-MIB", "upsBypassFrequency"), ("UPS-MIB", "upsBypassNumLines"), ("UPS-MIB", "upsBypassVoltage"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsBasicBypassGroup = upsBasicBypassGroup.setStatus('current')
upsBasicAlarmGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 33, 3, 2, 2, 6)).setObjects(("UPS-MIB", "upsAlarmsPresent"), ("UPS-MIB", "upsAlarmDescr"), ("UPS-MIB", "upsAlarmTime"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsBasicAlarmGroup = upsBasicAlarmGroup.setStatus('current')
upsBasicTestGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 33, 3, 2, 2, 7)).setObjects(("UPS-MIB", "upsTestId"), ("UPS-MIB", "upsTestSpinLock"), ("UPS-MIB", "upsTestResultsSummary"), ("UPS-MIB", "upsTestResultsDetail"), ("UPS-MIB", "upsTestStartTime"), ("UPS-MIB", "upsTestElapsedTime"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsBasicTestGroup = upsBasicTestGroup.setStatus('current')
upsBasicControlGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 33, 3, 2, 2, 8)).setObjects(("UPS-MIB", "upsShutdownType"), ("UPS-MIB", "upsShutdownAfterDelay"), ("UPS-MIB", "upsStartupAfterDelay"), ("UPS-MIB", "upsRebootWithDuration"), ("UPS-MIB", "upsAutoRestart"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsBasicControlGroup = upsBasicControlGroup.setStatus('current')
upsBasicConfigGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 33, 3, 2, 2, 9)).setObjects(("UPS-MIB", "upsConfigInputVoltage"), ("UPS-MIB", "upsConfigInputFreq"), ("UPS-MIB", "upsConfigOutputVoltage"), ("UPS-MIB", "upsConfigOutputFreq"), ("UPS-MIB", "upsConfigOutputVA"), ("UPS-MIB", "upsConfigOutputPower"), ("UPS-MIB", "upsConfigLowBattTime"), ("UPS-MIB", "upsConfigAudibleStatus"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsBasicConfigGroup = upsBasicConfigGroup.setStatus('current')
upsFullGroups = MibIdentifier((1, 3, 6, 1, 2, 1, 33, 3, 2, 3))
upsFullIdentGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 33, 3, 2, 3, 1)).setObjects(("UPS-MIB", "upsIdentManufacturer"), ("UPS-MIB", "upsIdentModel"), ("UPS-MIB", "upsIdentUPSSoftwareVersion"), ("UPS-MIB", "upsIdentAgentSoftwareVersion"), ("UPS-MIB", "upsIdentName"), ("UPS-MIB", "upsIdentAttachedDevices"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsFullIdentGroup = upsFullIdentGroup.setStatus('current')
upsFullBatteryGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 33, 3, 2, 3, 2)).setObjects(("UPS-MIB", "upsBatteryStatus"), ("UPS-MIB", "upsSecondsOnBattery"), ("UPS-MIB", "upsEstimatedMinutesRemaining"), ("UPS-MIB", "upsEstimatedChargeRemaining"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsFullBatteryGroup = upsFullBatteryGroup.setStatus('current')
upsFullInputGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 33, 3, 2, 3, 3)).setObjects(("UPS-MIB", "upsInputLineBads"), ("UPS-MIB", "upsInputNumLines"), ("UPS-MIB", "upsInputFrequency"), ("UPS-MIB", "upsInputVoltage"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsFullInputGroup = upsFullInputGroup.setStatus('current')
upsFullOutputGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 33, 3, 2, 3, 4)).setObjects(("UPS-MIB", "upsOutputSource"), ("UPS-MIB", "upsOutputFrequency"), ("UPS-MIB", "upsOutputNumLines"), ("UPS-MIB", "upsOutputVoltage"), ("UPS-MIB", "upsOutputCurrent"), ("UPS-MIB", "upsOutputPower"), ("UPS-MIB", "upsOutputPercentLoad"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsFullOutputGroup = upsFullOutputGroup.setStatus('current')
upsFullBypassGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 33, 3, 2, 3, 5)).setObjects(("UPS-MIB", "upsBypassFrequency"), ("UPS-MIB", "upsBypassNumLines"), ("UPS-MIB", "upsBypassVoltage"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsFullBypassGroup = upsFullBypassGroup.setStatus('current')
upsFullAlarmGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 33, 3, 2, 3, 6)).setObjects(("UPS-MIB", "upsAlarmsPresent"), ("UPS-MIB", "upsAlarmDescr"), ("UPS-MIB", "upsAlarmTime"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsFullAlarmGroup = upsFullAlarmGroup.setStatus('current')
upsFullTestGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 33, 3, 2, 3, 7)).setObjects(("UPS-MIB", "upsTestId"), ("UPS-MIB", "upsTestSpinLock"), ("UPS-MIB", "upsTestResultsSummary"), ("UPS-MIB", "upsTestResultsDetail"), ("UPS-MIB", "upsTestStartTime"), ("UPS-MIB", "upsTestElapsedTime"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsFullTestGroup = upsFullTestGroup.setStatus('current')
upsFullControlGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 33, 3, 2, 3, 8)).setObjects(("UPS-MIB", "upsShutdownType"), ("UPS-MIB", "upsShutdownAfterDelay"), ("UPS-MIB", "upsStartupAfterDelay"), ("UPS-MIB", "upsRebootWithDuration"), ("UPS-MIB", "upsAutoRestart"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsFullControlGroup = upsFullControlGroup.setStatus('current')
upsFullConfigGroup = ObjectGroup((1, 3, 6, 1, 2, 1, 33, 3, 2, 3, 9)).setObjects(("UPS-MIB", "upsConfigInputVoltage"), ("UPS-MIB", "upsConfigInputFreq"), ("UPS-MIB", "upsConfigOutputVoltage"), ("UPS-MIB", "upsConfigOutputFreq"), ("UPS-MIB", "upsConfigOutputVA"), ("UPS-MIB", "upsConfigOutputPower"), ("UPS-MIB", "upsConfigLowBattTime"), ("UPS-MIB", "upsConfigAudibleStatus"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
upsFullConfigGroup = upsFullConfigGroup.setStatus('current')
mibBuilder.exportSymbols("UPS-MIB", upsEstimatedChargeRemaining=upsEstimatedChargeRemaining, upsInputTable=upsInputTable, upsInputCurrent=upsInputCurrent, upsAlarmOutputBad=upsAlarmOutputBad, upsIdentUPSSoftwareVersion=upsIdentUPSSoftwareVersion, upsInputVoltage=upsInputVoltage, upsOutputEntry=upsOutputEntry, upsAlarmShutdownPending=upsAlarmShutdownPending, upsOutputFrequency=upsOutputFrequency, upsAlarmOutputOverload=upsAlarmOutputOverload, upsSubsetControlGroup=upsSubsetControlGroup, upsAlarmShutdownImminent=upsAlarmShutdownImminent, upsAlarmLowBattery=upsAlarmLowBattery, upsBatteryCurrent=upsBatteryCurrent, upsConfigOutputFreq=upsConfigOutputFreq, upsWellKnownTests=upsWellKnownTests, upsIdentManufacturer=upsIdentManufacturer, upsTestAbortTestInProgress=upsTestAbortTestInProgress, upsConfig=upsConfig, upsFullInputGroup=upsFullInputGroup, upsAlarmsPresent=upsAlarmsPresent, upsAlarmTempBad=upsAlarmTempBad, upsBypassFrequency=upsBypassFrequency, upsShutdownType=upsShutdownType, upsBatteryStatus=upsBatteryStatus, upsTrapTestCompleted=upsTrapTestCompleted, upsBasicIdentGroup=upsBasicIdentGroup, upsFullBatteryGroup=upsFullBatteryGroup, upsAlarmFuseFailure=upsAlarmFuseFailure, upsOutputCurrent=upsOutputCurrent, upsWellKnownAlarms=upsWellKnownAlarms, upsAlarmOnBattery=upsAlarmOnBattery, upsFullTestGroup=upsFullTestGroup, upsOutputNumLines=upsOutputNumLines, upsAlarmGeneralFault=upsAlarmGeneralFault, upsInputLineIndex=upsInputLineIndex, upsOutputPower=upsOutputPower, upsSubsetOutputGroup=upsSubsetOutputGroup, upsAlarmChargerFailed=upsAlarmChargerFailed, upsBasicBatteryGroup=upsBasicBatteryGroup, upsAlarmOnBypass=upsAlarmOnBypass, upsBasicOutputGroup=upsBasicOutputGroup, upsAlarmDiagnosticTestFailed=upsAlarmDiagnosticTestFailed, upsTestGeneralSystemsTest=upsTestGeneralSystemsTest, upsTestId=upsTestId, upsTrapAlarmEntryRemoved=upsTrapAlarmEntryRemoved, upsEstimatedMinutesRemaining=upsEstimatedMinutesRemaining, upsIdentAttachedDevices=upsIdentAttachedDevices, upsAlarmCommunicationsLost=upsAlarmCommunicationsLost, upsTestStartTime=upsTestStartTime, upsBasicInputGroup=upsBasicInputGroup, upsAlarmId=upsAlarmId, upsAlarmTime=upsAlarmTime, upsSubsetAlarmGroup=upsSubsetAlarmGroup, upsAlarmUpsOutputOff=upsAlarmUpsOutputOff, upsIdentName=upsIdentName, upsGroups=upsGroups, upsConfigOutputPower=upsConfigOutputPower, upsAlarmTestInProgress=upsAlarmTestInProgress, upsTestNoTestsInitiated=upsTestNoTestsInitiated, upsBasicConfigGroup=upsBasicConfigGroup, upsBatteryTemperature=upsBatteryTemperature, upsInputLineBads=upsInputLineBads, upsInputTruePower=upsInputTruePower, upsTest=upsTest, upsIdent=upsIdent, upsBypassVoltage=upsBypassVoltage, upsFullControlGroup=upsFullControlGroup, upsTraps=upsTraps, upsOutputTable=upsOutputTable, upsIdentModel=upsIdentModel, upsSubsetCompliance=upsSubsetCompliance, upsInputFrequency=upsInputFrequency, upsOutputVoltage=upsOutputVoltage, upsTrapOnBattery=upsTrapOnBattery, upsOutput=upsOutput, upsFullConfigGroup=upsFullConfigGroup, upsSubsetConfigGroup=upsSubsetConfigGroup, upsTestQuickBatteryTest=upsTestQuickBatteryTest, upsConfigOutputVoltage=upsConfigOutputVoltage, upsAlarmBypassBad=upsAlarmBypassBad, upsSecondsOnBattery=upsSecondsOnBattery, upsFullAlarmGroup=upsFullAlarmGroup, upsBypass=upsBypass, upsBypassLineIndex=upsBypassLineIndex, upsBypassNumLines=upsBypassNumLines, upsBypassCurrent=upsBypassCurrent, upsInput=upsInput, upsOutputSource=upsOutputSource, upsConfigAudibleStatus=upsConfigAudibleStatus, upsAlarmTable=upsAlarmTable, upsAlarmFanFailure=upsAlarmFanFailure, upsSubsetGroups=upsSubsetGroups, upsBasicControlGroup=upsBasicControlGroup, upsConfigHighVoltageTransferPoint=upsConfigHighVoltageTransferPoint, upsAlarmDepletedBattery=upsAlarmDepletedBattery, upsAutoRestart=upsAutoRestart, upsBasicGroups=upsBasicGroups, upsConfigOutputVA=upsConfigOutputVA, upsAlarmUpsSystemOff=upsAlarmUpsSystemOff, upsAlarmUpsOffAsRequested=upsAlarmUpsOffAsRequested, upsConformance=upsConformance, PYSNMP_MODULE_ID=upsMIB, upsIdentAgentSoftwareVersion=upsIdentAgentSoftwareVersion, upsRebootWithDuration=upsRebootWithDuration, upsObjects=upsObjects, upsTestResultsDetail=upsTestResultsDetail, upsOutputPercentLoad=upsOutputPercentLoad, upsBypassTable=upsBypassTable, upsFullBypassGroup=upsFullBypassGroup, upsSubsetBatteryGroup=upsSubsetBatteryGroup, upsAlarmEntry=upsAlarmEntry, upsControl=upsControl, upsTestDeepBatteryCalibration=upsTestDeepBatteryCalibration, upsStartupAfterDelay=upsStartupAfterDelay, upsCompliances=upsCompliances, upsFullOutputGroup=upsFullOutputGroup, NonNegativeInteger=NonNegativeInteger, upsFullIdentGroup=upsFullIdentGroup, upsInputNumLines=upsInputNumLines, upsBatteryVoltage=upsBatteryVoltage, upsBasicCompliance=upsBasicCompliance, upsSubsetInputGroup=upsSubsetInputGroup, upsOutputLineIndex=upsOutputLineIndex, upsAlarmBatteryBad=upsAlarmBatteryBad, upsBypassEntry=upsBypassEntry, upsConfigLowVoltageTransferPoint=upsConfigLowVoltageTransferPoint, upsMIB=upsMIB, upsBypassPower=upsBypassPower, upsConfigLowBattTime=upsConfigLowBattTime, upsBasicTestGroup=upsBasicTestGroup, upsConfigInputVoltage=upsConfigInputVoltage, upsTrapAlarmEntryAdded=upsTrapAlarmEntryAdded, upsTestSpinLock=upsTestSpinLock, upsBasicBypassGroup=upsBasicBypassGroup, upsTestElapsedTime=upsTestElapsedTime, upsInputEntry=upsInputEntry, PositiveInteger=PositiveInteger, upsFullCompliance=upsFullCompliance, upsAlarmAwaitingPower=upsAlarmAwaitingPower, upsShutdownAfterDelay=upsShutdownAfterDelay, upsConfigInputFreq=upsConfigInputFreq, upsAlarmDescr=upsAlarmDescr, upsAlarmOutputOffAsRequested=upsAlarmOutputOffAsRequested, upsBasicAlarmGroup=upsBasicAlarmGroup, upsBattery=upsBattery, upsSubsetIdentGroup=upsSubsetIdentGroup, upsAlarmInputBad=upsAlarmInputBad, upsFullGroups=upsFullGroups, upsTestResultsSummary=upsTestResultsSummary, upsAlarm=upsAlarm)
| (octet_string, object_identifier, integer) = mibBuilder.importSymbols('ASN1', 'OctetString', 'ObjectIdentifier', 'Integer')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(value_range_constraint, constraints_union, value_size_constraint, constraints_intersection, single_value_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ValueRangeConstraint', 'ConstraintsUnion', 'ValueSizeConstraint', 'ConstraintsIntersection', 'SingleValueConstraint')
(object_group, notification_group, module_compliance) = mibBuilder.importSymbols('SNMPv2-CONF', 'ObjectGroup', 'NotificationGroup', 'ModuleCompliance')
(mib_scalar, mib_table, mib_table_row, mib_table_column, iso, unsigned32, integer32, mib_identifier, counter32, mib_2, module_identity, object_identity, gauge32, time_ticks, counter64, bits, ip_address, notification_type) = mibBuilder.importSymbols('SNMPv2-SMI', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'iso', 'Unsigned32', 'Integer32', 'MibIdentifier', 'Counter32', 'mib-2', 'ModuleIdentity', 'ObjectIdentity', 'Gauge32', 'TimeTicks', 'Counter64', 'Bits', 'IpAddress', 'NotificationType')
(time_stamp, autonomous_type, time_interval, test_and_incr, textual_convention, display_string) = mibBuilder.importSymbols('SNMPv2-TC', 'TimeStamp', 'AutonomousType', 'TimeInterval', 'TestAndIncr', 'TextualConvention', 'DisplayString')
ups_mib = module_identity((1, 3, 6, 1, 2, 1, 33))
if mibBuilder.loadTexts:
upsMIB.setLastUpdated('9402230000Z')
if mibBuilder.loadTexts:
upsMIB.setOrganization('IETF UPS MIB Working Group')
class Positiveinteger(TextualConvention, Integer32):
status = 'current'
display_hint = 'd'
subtype_spec = Integer32.subtypeSpec + value_range_constraint(1, 2147483647)
class Nonnegativeinteger(TextualConvention, Integer32):
status = 'current'
display_hint = 'd'
subtype_spec = Integer32.subtypeSpec + value_range_constraint(0, 2147483647)
ups_objects = mib_identifier((1, 3, 6, 1, 2, 1, 33, 1))
ups_ident = mib_identifier((1, 3, 6, 1, 2, 1, 33, 1, 1))
ups_ident_manufacturer = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 1, 1), display_string().subtype(subtypeSpec=value_size_constraint(0, 31))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsIdentManufacturer.setStatus('current')
ups_ident_model = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 1, 2), display_string().subtype(subtypeSpec=value_size_constraint(0, 63))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsIdentModel.setStatus('current')
ups_ident_ups_software_version = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 1, 3), display_string().subtype(subtypeSpec=value_size_constraint(0, 63))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsIdentUPSSoftwareVersion.setStatus('current')
ups_ident_agent_software_version = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 1, 4), display_string().subtype(subtypeSpec=value_size_constraint(0, 63))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsIdentAgentSoftwareVersion.setStatus('current')
ups_ident_name = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 1, 5), display_string().subtype(subtypeSpec=value_size_constraint(0, 63))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
upsIdentName.setStatus('current')
ups_ident_attached_devices = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 1, 6), display_string().subtype(subtypeSpec=value_size_constraint(0, 63))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
upsIdentAttachedDevices.setStatus('current')
ups_battery = mib_identifier((1, 3, 6, 1, 2, 1, 33, 1, 2))
ups_battery_status = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 2, 1), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4))).clone(namedValues=named_values(('unknown', 1), ('batteryNormal', 2), ('batteryLow', 3), ('batteryDepleted', 4)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsBatteryStatus.setStatus('current')
ups_seconds_on_battery = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 2, 2), non_negative_integer()).setUnits('seconds').setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsSecondsOnBattery.setStatus('current')
ups_estimated_minutes_remaining = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 2, 3), positive_integer()).setUnits('minutes').setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsEstimatedMinutesRemaining.setStatus('current')
ups_estimated_charge_remaining = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 2, 4), integer32().subtype(subtypeSpec=value_range_constraint(0, 100))).setUnits('percent').setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsEstimatedChargeRemaining.setStatus('current')
ups_battery_voltage = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 2, 5), non_negative_integer()).setUnits('0.1 Volt DC').setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsBatteryVoltage.setStatus('current')
ups_battery_current = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 2, 6), integer32()).setUnits('0.1 Amp DC').setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsBatteryCurrent.setStatus('current')
ups_battery_temperature = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 2, 7), integer32()).setUnits('degrees Centigrade').setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsBatteryTemperature.setStatus('current')
ups_input = mib_identifier((1, 3, 6, 1, 2, 1, 33, 1, 3))
ups_input_line_bads = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 3, 1), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsInputLineBads.setStatus('current')
ups_input_num_lines = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 3, 2), non_negative_integer()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsInputNumLines.setStatus('current')
ups_input_table = mib_table((1, 3, 6, 1, 2, 1, 33, 1, 3, 3))
if mibBuilder.loadTexts:
upsInputTable.setStatus('current')
ups_input_entry = mib_table_row((1, 3, 6, 1, 2, 1, 33, 1, 3, 3, 1)).setIndexNames((0, 'UPS-MIB', 'upsInputLineIndex'))
if mibBuilder.loadTexts:
upsInputEntry.setStatus('current')
ups_input_line_index = mib_table_column((1, 3, 6, 1, 2, 1, 33, 1, 3, 3, 1, 1), positive_integer())
if mibBuilder.loadTexts:
upsInputLineIndex.setStatus('current')
ups_input_frequency = mib_table_column((1, 3, 6, 1, 2, 1, 33, 1, 3, 3, 1, 2), non_negative_integer()).setUnits('0.1 Hertz').setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsInputFrequency.setStatus('current')
ups_input_voltage = mib_table_column((1, 3, 6, 1, 2, 1, 33, 1, 3, 3, 1, 3), non_negative_integer()).setUnits('RMS Volts').setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsInputVoltage.setStatus('current')
ups_input_current = mib_table_column((1, 3, 6, 1, 2, 1, 33, 1, 3, 3, 1, 4), non_negative_integer()).setUnits('0.1 RMS Amp').setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsInputCurrent.setStatus('current')
ups_input_true_power = mib_table_column((1, 3, 6, 1, 2, 1, 33, 1, 3, 3, 1, 5), non_negative_integer()).setUnits('Watts').setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsInputTruePower.setStatus('current')
ups_output = mib_identifier((1, 3, 6, 1, 2, 1, 33, 1, 4))
ups_output_source = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 4, 1), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6, 7))).clone(namedValues=named_values(('other', 1), ('none', 2), ('normal', 3), ('bypass', 4), ('battery', 5), ('booster', 6), ('reducer', 7)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsOutputSource.setStatus('current')
ups_output_frequency = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 4, 2), non_negative_integer()).setUnits('0.1 Hertz').setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsOutputFrequency.setStatus('current')
ups_output_num_lines = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 4, 3), non_negative_integer()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsOutputNumLines.setStatus('current')
ups_output_table = mib_table((1, 3, 6, 1, 2, 1, 33, 1, 4, 4))
if mibBuilder.loadTexts:
upsOutputTable.setStatus('current')
ups_output_entry = mib_table_row((1, 3, 6, 1, 2, 1, 33, 1, 4, 4, 1)).setIndexNames((0, 'UPS-MIB', 'upsOutputLineIndex'))
if mibBuilder.loadTexts:
upsOutputEntry.setStatus('current')
ups_output_line_index = mib_table_column((1, 3, 6, 1, 2, 1, 33, 1, 4, 4, 1, 1), positive_integer())
if mibBuilder.loadTexts:
upsOutputLineIndex.setStatus('current')
ups_output_voltage = mib_table_column((1, 3, 6, 1, 2, 1, 33, 1, 4, 4, 1, 2), non_negative_integer()).setUnits('RMS Volts').setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsOutputVoltage.setStatus('current')
ups_output_current = mib_table_column((1, 3, 6, 1, 2, 1, 33, 1, 4, 4, 1, 3), non_negative_integer()).setUnits('0.1 RMS Amp').setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsOutputCurrent.setStatus('current')
ups_output_power = mib_table_column((1, 3, 6, 1, 2, 1, 33, 1, 4, 4, 1, 4), non_negative_integer()).setUnits('Watts').setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsOutputPower.setStatus('current')
ups_output_percent_load = mib_table_column((1, 3, 6, 1, 2, 1, 33, 1, 4, 4, 1, 5), integer32().subtype(subtypeSpec=value_range_constraint(0, 200))).setUnits('percent').setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsOutputPercentLoad.setStatus('current')
ups_bypass = mib_identifier((1, 3, 6, 1, 2, 1, 33, 1, 5))
ups_bypass_frequency = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 5, 1), non_negative_integer()).setUnits('0.1 Hertz').setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsBypassFrequency.setStatus('current')
ups_bypass_num_lines = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 5, 2), non_negative_integer()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsBypassNumLines.setStatus('current')
ups_bypass_table = mib_table((1, 3, 6, 1, 2, 1, 33, 1, 5, 3))
if mibBuilder.loadTexts:
upsBypassTable.setStatus('current')
ups_bypass_entry = mib_table_row((1, 3, 6, 1, 2, 1, 33, 1, 5, 3, 1)).setIndexNames((0, 'UPS-MIB', 'upsBypassLineIndex'))
if mibBuilder.loadTexts:
upsBypassEntry.setStatus('current')
ups_bypass_line_index = mib_table_column((1, 3, 6, 1, 2, 1, 33, 1, 5, 3, 1, 1), positive_integer())
if mibBuilder.loadTexts:
upsBypassLineIndex.setStatus('current')
ups_bypass_voltage = mib_table_column((1, 3, 6, 1, 2, 1, 33, 1, 5, 3, 1, 2), non_negative_integer()).setUnits('RMS Volts').setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsBypassVoltage.setStatus('current')
ups_bypass_current = mib_table_column((1, 3, 6, 1, 2, 1, 33, 1, 5, 3, 1, 3), non_negative_integer()).setUnits('0.1 RMS Amp').setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsBypassCurrent.setStatus('current')
ups_bypass_power = mib_table_column((1, 3, 6, 1, 2, 1, 33, 1, 5, 3, 1, 4), non_negative_integer()).setUnits('Watts').setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsBypassPower.setStatus('current')
ups_alarm = mib_identifier((1, 3, 6, 1, 2, 1, 33, 1, 6))
ups_alarms_present = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 6, 1), gauge32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsAlarmsPresent.setStatus('current')
ups_alarm_table = mib_table((1, 3, 6, 1, 2, 1, 33, 1, 6, 2))
if mibBuilder.loadTexts:
upsAlarmTable.setStatus('current')
ups_alarm_entry = mib_table_row((1, 3, 6, 1, 2, 1, 33, 1, 6, 2, 1)).setIndexNames((0, 'UPS-MIB', 'upsAlarmId'))
if mibBuilder.loadTexts:
upsAlarmEntry.setStatus('current')
ups_alarm_id = mib_table_column((1, 3, 6, 1, 2, 1, 33, 1, 6, 2, 1, 1), positive_integer())
if mibBuilder.loadTexts:
upsAlarmId.setStatus('current')
ups_alarm_descr = mib_table_column((1, 3, 6, 1, 2, 1, 33, 1, 6, 2, 1, 2), autonomous_type()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsAlarmDescr.setStatus('current')
ups_alarm_time = mib_table_column((1, 3, 6, 1, 2, 1, 33, 1, 6, 2, 1, 3), time_stamp()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsAlarmTime.setStatus('current')
ups_well_known_alarms = mib_identifier((1, 3, 6, 1, 2, 1, 33, 1, 6, 3))
ups_alarm_battery_bad = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 1))
if mibBuilder.loadTexts:
upsAlarmBatteryBad.setStatus('current')
ups_alarm_on_battery = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 2))
if mibBuilder.loadTexts:
upsAlarmOnBattery.setStatus('current')
ups_alarm_low_battery = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 3))
if mibBuilder.loadTexts:
upsAlarmLowBattery.setStatus('current')
ups_alarm_depleted_battery = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 4))
if mibBuilder.loadTexts:
upsAlarmDepletedBattery.setStatus('current')
ups_alarm_temp_bad = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 5))
if mibBuilder.loadTexts:
upsAlarmTempBad.setStatus('current')
ups_alarm_input_bad = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 6))
if mibBuilder.loadTexts:
upsAlarmInputBad.setStatus('current')
ups_alarm_output_bad = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 7))
if mibBuilder.loadTexts:
upsAlarmOutputBad.setStatus('current')
ups_alarm_output_overload = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 8))
if mibBuilder.loadTexts:
upsAlarmOutputOverload.setStatus('current')
ups_alarm_on_bypass = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 9))
if mibBuilder.loadTexts:
upsAlarmOnBypass.setStatus('current')
ups_alarm_bypass_bad = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 10))
if mibBuilder.loadTexts:
upsAlarmBypassBad.setStatus('current')
ups_alarm_output_off_as_requested = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 11))
if mibBuilder.loadTexts:
upsAlarmOutputOffAsRequested.setStatus('current')
ups_alarm_ups_off_as_requested = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 12))
if mibBuilder.loadTexts:
upsAlarmUpsOffAsRequested.setStatus('current')
ups_alarm_charger_failed = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 13))
if mibBuilder.loadTexts:
upsAlarmChargerFailed.setStatus('current')
ups_alarm_ups_output_off = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 14))
if mibBuilder.loadTexts:
upsAlarmUpsOutputOff.setStatus('current')
ups_alarm_ups_system_off = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 15))
if mibBuilder.loadTexts:
upsAlarmUpsSystemOff.setStatus('current')
ups_alarm_fan_failure = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 16))
if mibBuilder.loadTexts:
upsAlarmFanFailure.setStatus('current')
ups_alarm_fuse_failure = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 17))
if mibBuilder.loadTexts:
upsAlarmFuseFailure.setStatus('current')
ups_alarm_general_fault = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 18))
if mibBuilder.loadTexts:
upsAlarmGeneralFault.setStatus('current')
ups_alarm_diagnostic_test_failed = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 19))
if mibBuilder.loadTexts:
upsAlarmDiagnosticTestFailed.setStatus('current')
ups_alarm_communications_lost = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 20))
if mibBuilder.loadTexts:
upsAlarmCommunicationsLost.setStatus('current')
ups_alarm_awaiting_power = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 21))
if mibBuilder.loadTexts:
upsAlarmAwaitingPower.setStatus('current')
ups_alarm_shutdown_pending = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 22))
if mibBuilder.loadTexts:
upsAlarmShutdownPending.setStatus('current')
ups_alarm_shutdown_imminent = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 23))
if mibBuilder.loadTexts:
upsAlarmShutdownImminent.setStatus('current')
ups_alarm_test_in_progress = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 6, 3, 24))
if mibBuilder.loadTexts:
upsAlarmTestInProgress.setStatus('current')
ups_test = mib_identifier((1, 3, 6, 1, 2, 1, 33, 1, 7))
ups_test_id = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 7, 1), object_identifier()).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
upsTestId.setStatus('current')
ups_test_spin_lock = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 7, 2), test_and_incr()).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
upsTestSpinLock.setStatus('current')
ups_test_results_summary = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 7, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6))).clone(namedValues=named_values(('donePass', 1), ('doneWarning', 2), ('doneError', 3), ('aborted', 4), ('inProgress', 5), ('noTestsInitiated', 6)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsTestResultsSummary.setStatus('current')
ups_test_results_detail = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 7, 4), display_string().subtype(subtypeSpec=value_size_constraint(0, 255))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsTestResultsDetail.setStatus('current')
ups_test_start_time = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 7, 5), time_stamp()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsTestStartTime.setStatus('current')
ups_test_elapsed_time = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 7, 6), time_interval()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsTestElapsedTime.setStatus('current')
ups_well_known_tests = mib_identifier((1, 3, 6, 1, 2, 1, 33, 1, 7, 7))
ups_test_no_tests_initiated = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 7, 7, 1))
if mibBuilder.loadTexts:
upsTestNoTestsInitiated.setStatus('current')
ups_test_abort_test_in_progress = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 7, 7, 2))
if mibBuilder.loadTexts:
upsTestAbortTestInProgress.setStatus('current')
ups_test_general_systems_test = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 7, 7, 3))
if mibBuilder.loadTexts:
upsTestGeneralSystemsTest.setStatus('current')
ups_test_quick_battery_test = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 7, 7, 4))
if mibBuilder.loadTexts:
upsTestQuickBatteryTest.setStatus('current')
ups_test_deep_battery_calibration = object_identity((1, 3, 6, 1, 2, 1, 33, 1, 7, 7, 5))
if mibBuilder.loadTexts:
upsTestDeepBatteryCalibration.setStatus('current')
ups_control = mib_identifier((1, 3, 6, 1, 2, 1, 33, 1, 8))
ups_shutdown_type = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 8, 1), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('output', 1), ('system', 2)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
upsShutdownType.setStatus('current')
ups_shutdown_after_delay = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 8, 2), integer32().subtype(subtypeSpec=value_range_constraint(-1, 2147483648))).setUnits('seconds').setMaxAccess('readwrite')
if mibBuilder.loadTexts:
upsShutdownAfterDelay.setStatus('current')
ups_startup_after_delay = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 8, 3), integer32().subtype(subtypeSpec=value_range_constraint(-1, 2147483648))).setUnits('seconds').setMaxAccess('readwrite')
if mibBuilder.loadTexts:
upsStartupAfterDelay.setStatus('current')
ups_reboot_with_duration = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 8, 4), integer32().subtype(subtypeSpec=value_range_constraint(-1, 300))).setUnits('seconds').setMaxAccess('readwrite')
if mibBuilder.loadTexts:
upsRebootWithDuration.setStatus('current')
ups_auto_restart = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 8, 5), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('on', 1), ('off', 2)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
upsAutoRestart.setStatus('current')
ups_config = mib_identifier((1, 3, 6, 1, 2, 1, 33, 1, 9))
ups_config_input_voltage = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 9, 1), non_negative_integer()).setUnits('RMS Volts').setMaxAccess('readwrite')
if mibBuilder.loadTexts:
upsConfigInputVoltage.setStatus('current')
ups_config_input_freq = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 9, 2), non_negative_integer()).setUnits('0.1 Hertz').setMaxAccess('readwrite')
if mibBuilder.loadTexts:
upsConfigInputFreq.setStatus('current')
ups_config_output_voltage = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 9, 3), non_negative_integer()).setUnits('RMS Volts').setMaxAccess('readwrite')
if mibBuilder.loadTexts:
upsConfigOutputVoltage.setStatus('current')
ups_config_output_freq = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 9, 4), non_negative_integer()).setUnits('0.1 Hertz').setMaxAccess('readwrite')
if mibBuilder.loadTexts:
upsConfigOutputFreq.setStatus('current')
ups_config_output_va = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 9, 5), non_negative_integer()).setUnits('Volt-Amps').setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsConfigOutputVA.setStatus('current')
ups_config_output_power = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 9, 6), non_negative_integer()).setUnits('Watts').setMaxAccess('readonly')
if mibBuilder.loadTexts:
upsConfigOutputPower.setStatus('current')
ups_config_low_batt_time = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 9, 7), non_negative_integer()).setUnits('minutes').setMaxAccess('readwrite')
if mibBuilder.loadTexts:
upsConfigLowBattTime.setStatus('current')
ups_config_audible_status = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 9, 8), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('disabled', 1), ('enabled', 2), ('muted', 3)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
upsConfigAudibleStatus.setStatus('current')
ups_config_low_voltage_transfer_point = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 9, 9), non_negative_integer()).setUnits('RMS Volts').setMaxAccess('readwrite')
if mibBuilder.loadTexts:
upsConfigLowVoltageTransferPoint.setStatus('current')
ups_config_high_voltage_transfer_point = mib_scalar((1, 3, 6, 1, 2, 1, 33, 1, 9, 10), non_negative_integer()).setUnits('RMS Volts').setMaxAccess('readwrite')
if mibBuilder.loadTexts:
upsConfigHighVoltageTransferPoint.setStatus('current')
ups_traps = mib_identifier((1, 3, 6, 1, 2, 1, 33, 2))
ups_trap_on_battery = notification_type((1, 3, 6, 1, 2, 1, 33, 2, 1)).setObjects(('UPS-MIB', 'upsEstimatedMinutesRemaining'), ('UPS-MIB', 'upsSecondsOnBattery'), ('UPS-MIB', 'upsConfigLowBattTime'))
if mibBuilder.loadTexts:
upsTrapOnBattery.setStatus('current')
ups_trap_test_completed = notification_type((1, 3, 6, 1, 2, 1, 33, 2, 2)).setObjects(('UPS-MIB', 'upsTestId'), ('UPS-MIB', 'upsTestSpinLock'), ('UPS-MIB', 'upsTestResultsSummary'), ('UPS-MIB', 'upsTestResultsDetail'), ('UPS-MIB', 'upsTestStartTime'), ('UPS-MIB', 'upsTestElapsedTime'))
if mibBuilder.loadTexts:
upsTrapTestCompleted.setStatus('current')
ups_trap_alarm_entry_added = notification_type((1, 3, 6, 1, 2, 1, 33, 2, 3)).setObjects(('UPS-MIB', 'upsAlarmId'), ('UPS-MIB', 'upsAlarmDescr'))
if mibBuilder.loadTexts:
upsTrapAlarmEntryAdded.setStatus('current')
ups_trap_alarm_entry_removed = notification_type((1, 3, 6, 1, 2, 1, 33, 2, 4)).setObjects(('UPS-MIB', 'upsAlarmId'), ('UPS-MIB', 'upsAlarmDescr'))
if mibBuilder.loadTexts:
upsTrapAlarmEntryRemoved.setStatus('current')
ups_conformance = mib_identifier((1, 3, 6, 1, 2, 1, 33, 3))
ups_compliances = mib_identifier((1, 3, 6, 1, 2, 1, 33, 3, 1))
ups_subset_compliance = module_compliance((1, 3, 6, 1, 2, 1, 33, 3, 1, 1)).setObjects(('UPS-MIB', 'upsSubsetIdentGroup'), ('UPS-MIB', 'upsSubsetBatteryGroup'), ('UPS-MIB', 'upsSubsetInputGroup'), ('UPS-MIB', 'upsSubsetOutputGroup'), ('UPS-MIB', 'upsSubsetAlarmGroup'), ('UPS-MIB', 'upsSubsetControlGroup'), ('UPS-MIB', 'upsSubsetConfigGroup'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_subset_compliance = upsSubsetCompliance.setStatus('current')
ups_basic_compliance = module_compliance((1, 3, 6, 1, 2, 1, 33, 3, 1, 2)).setObjects(('UPS-MIB', 'upsBasicIdentGroup'), ('UPS-MIB', 'upsBasicBatteryGroup'), ('UPS-MIB', 'upsBasicInputGroup'), ('UPS-MIB', 'upsBasicOutputGroup'), ('UPS-MIB', 'upsBasicAlarmGroup'), ('UPS-MIB', 'upsBasicTestGroup'), ('UPS-MIB', 'upsBasicControlGroup'), ('UPS-MIB', 'upsBasicConfigGroup'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_basic_compliance = upsBasicCompliance.setStatus('current')
ups_full_compliance = module_compliance((1, 3, 6, 1, 2, 1, 33, 3, 1, 3)).setObjects(('UPS-MIB', 'upsFullIdentGroup'), ('UPS-MIB', 'upsFullBatteryGroup'), ('UPS-MIB', 'upsFullInputGroup'), ('UPS-MIB', 'upsFullOutputGroup'), ('UPS-MIB', 'upsFullAlarmGroup'), ('UPS-MIB', 'upsFullTestGroup'), ('UPS-MIB', 'upsFullControlGroup'), ('UPS-MIB', 'upsFullConfigGroup'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_full_compliance = upsFullCompliance.setStatus('current')
ups_groups = mib_identifier((1, 3, 6, 1, 2, 1, 33, 3, 2))
ups_subset_groups = mib_identifier((1, 3, 6, 1, 2, 1, 33, 3, 2, 1))
ups_subset_ident_group = object_group((1, 3, 6, 1, 2, 1, 33, 3, 2, 1, 1)).setObjects(('UPS-MIB', 'upsIdentManufacturer'), ('UPS-MIB', 'upsIdentModel'), ('UPS-MIB', 'upsIdentAgentSoftwareVersion'), ('UPS-MIB', 'upsIdentName'), ('UPS-MIB', 'upsIdentAttachedDevices'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_subset_ident_group = upsSubsetIdentGroup.setStatus('current')
ups_subset_battery_group = object_group((1, 3, 6, 1, 2, 1, 33, 3, 2, 1, 2)).setObjects(('UPS-MIB', 'upsBatteryStatus'), ('UPS-MIB', 'upsSecondsOnBattery'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_subset_battery_group = upsSubsetBatteryGroup.setStatus('current')
ups_subset_input_group = object_group((1, 3, 6, 1, 2, 1, 33, 3, 2, 1, 3)).setObjects(('UPS-MIB', 'upsInputLineBads'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_subset_input_group = upsSubsetInputGroup.setStatus('current')
ups_subset_output_group = object_group((1, 3, 6, 1, 2, 1, 33, 3, 2, 1, 4)).setObjects(('UPS-MIB', 'upsOutputSource'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_subset_output_group = upsSubsetOutputGroup.setStatus('current')
ups_subset_alarm_group = object_group((1, 3, 6, 1, 2, 1, 33, 3, 2, 1, 6)).setObjects(('UPS-MIB', 'upsAlarmsPresent'), ('UPS-MIB', 'upsAlarmDescr'), ('UPS-MIB', 'upsAlarmTime'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_subset_alarm_group = upsSubsetAlarmGroup.setStatus('current')
ups_subset_control_group = object_group((1, 3, 6, 1, 2, 1, 33, 3, 2, 1, 8)).setObjects(('UPS-MIB', 'upsShutdownType'), ('UPS-MIB', 'upsShutdownAfterDelay'), ('UPS-MIB', 'upsAutoRestart'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_subset_control_group = upsSubsetControlGroup.setStatus('current')
ups_subset_config_group = object_group((1, 3, 6, 1, 2, 1, 33, 3, 2, 1, 9)).setObjects(('UPS-MIB', 'upsConfigInputVoltage'), ('UPS-MIB', 'upsConfigInputFreq'), ('UPS-MIB', 'upsConfigOutputVoltage'), ('UPS-MIB', 'upsConfigOutputFreq'), ('UPS-MIB', 'upsConfigOutputVA'), ('UPS-MIB', 'upsConfigOutputPower'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_subset_config_group = upsSubsetConfigGroup.setStatus('current')
ups_basic_groups = mib_identifier((1, 3, 6, 1, 2, 1, 33, 3, 2, 2))
ups_basic_ident_group = object_group((1, 3, 6, 1, 2, 1, 33, 3, 2, 2, 1)).setObjects(('UPS-MIB', 'upsIdentManufacturer'), ('UPS-MIB', 'upsIdentModel'), ('UPS-MIB', 'upsIdentUPSSoftwareVersion'), ('UPS-MIB', 'upsIdentAgentSoftwareVersion'), ('UPS-MIB', 'upsIdentName'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_basic_ident_group = upsBasicIdentGroup.setStatus('current')
ups_basic_battery_group = object_group((1, 3, 6, 1, 2, 1, 33, 3, 2, 2, 2)).setObjects(('UPS-MIB', 'upsBatteryStatus'), ('UPS-MIB', 'upsSecondsOnBattery'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_basic_battery_group = upsBasicBatteryGroup.setStatus('current')
ups_basic_input_group = object_group((1, 3, 6, 1, 2, 1, 33, 3, 2, 2, 3)).setObjects(('UPS-MIB', 'upsInputLineBads'), ('UPS-MIB', 'upsInputNumLines'), ('UPS-MIB', 'upsInputFrequency'), ('UPS-MIB', 'upsInputVoltage'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_basic_input_group = upsBasicInputGroup.setStatus('current')
ups_basic_output_group = object_group((1, 3, 6, 1, 2, 1, 33, 3, 2, 2, 4)).setObjects(('UPS-MIB', 'upsOutputSource'), ('UPS-MIB', 'upsOutputFrequency'), ('UPS-MIB', 'upsOutputNumLines'), ('UPS-MIB', 'upsOutputVoltage'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_basic_output_group = upsBasicOutputGroup.setStatus('current')
ups_basic_bypass_group = object_group((1, 3, 6, 1, 2, 1, 33, 3, 2, 2, 5)).setObjects(('UPS-MIB', 'upsBypassFrequency'), ('UPS-MIB', 'upsBypassNumLines'), ('UPS-MIB', 'upsBypassVoltage'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_basic_bypass_group = upsBasicBypassGroup.setStatus('current')
ups_basic_alarm_group = object_group((1, 3, 6, 1, 2, 1, 33, 3, 2, 2, 6)).setObjects(('UPS-MIB', 'upsAlarmsPresent'), ('UPS-MIB', 'upsAlarmDescr'), ('UPS-MIB', 'upsAlarmTime'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_basic_alarm_group = upsBasicAlarmGroup.setStatus('current')
ups_basic_test_group = object_group((1, 3, 6, 1, 2, 1, 33, 3, 2, 2, 7)).setObjects(('UPS-MIB', 'upsTestId'), ('UPS-MIB', 'upsTestSpinLock'), ('UPS-MIB', 'upsTestResultsSummary'), ('UPS-MIB', 'upsTestResultsDetail'), ('UPS-MIB', 'upsTestStartTime'), ('UPS-MIB', 'upsTestElapsedTime'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_basic_test_group = upsBasicTestGroup.setStatus('current')
ups_basic_control_group = object_group((1, 3, 6, 1, 2, 1, 33, 3, 2, 2, 8)).setObjects(('UPS-MIB', 'upsShutdownType'), ('UPS-MIB', 'upsShutdownAfterDelay'), ('UPS-MIB', 'upsStartupAfterDelay'), ('UPS-MIB', 'upsRebootWithDuration'), ('UPS-MIB', 'upsAutoRestart'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_basic_control_group = upsBasicControlGroup.setStatus('current')
ups_basic_config_group = object_group((1, 3, 6, 1, 2, 1, 33, 3, 2, 2, 9)).setObjects(('UPS-MIB', 'upsConfigInputVoltage'), ('UPS-MIB', 'upsConfigInputFreq'), ('UPS-MIB', 'upsConfigOutputVoltage'), ('UPS-MIB', 'upsConfigOutputFreq'), ('UPS-MIB', 'upsConfigOutputVA'), ('UPS-MIB', 'upsConfigOutputPower'), ('UPS-MIB', 'upsConfigLowBattTime'), ('UPS-MIB', 'upsConfigAudibleStatus'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_basic_config_group = upsBasicConfigGroup.setStatus('current')
ups_full_groups = mib_identifier((1, 3, 6, 1, 2, 1, 33, 3, 2, 3))
ups_full_ident_group = object_group((1, 3, 6, 1, 2, 1, 33, 3, 2, 3, 1)).setObjects(('UPS-MIB', 'upsIdentManufacturer'), ('UPS-MIB', 'upsIdentModel'), ('UPS-MIB', 'upsIdentUPSSoftwareVersion'), ('UPS-MIB', 'upsIdentAgentSoftwareVersion'), ('UPS-MIB', 'upsIdentName'), ('UPS-MIB', 'upsIdentAttachedDevices'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_full_ident_group = upsFullIdentGroup.setStatus('current')
ups_full_battery_group = object_group((1, 3, 6, 1, 2, 1, 33, 3, 2, 3, 2)).setObjects(('UPS-MIB', 'upsBatteryStatus'), ('UPS-MIB', 'upsSecondsOnBattery'), ('UPS-MIB', 'upsEstimatedMinutesRemaining'), ('UPS-MIB', 'upsEstimatedChargeRemaining'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_full_battery_group = upsFullBatteryGroup.setStatus('current')
ups_full_input_group = object_group((1, 3, 6, 1, 2, 1, 33, 3, 2, 3, 3)).setObjects(('UPS-MIB', 'upsInputLineBads'), ('UPS-MIB', 'upsInputNumLines'), ('UPS-MIB', 'upsInputFrequency'), ('UPS-MIB', 'upsInputVoltage'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_full_input_group = upsFullInputGroup.setStatus('current')
ups_full_output_group = object_group((1, 3, 6, 1, 2, 1, 33, 3, 2, 3, 4)).setObjects(('UPS-MIB', 'upsOutputSource'), ('UPS-MIB', 'upsOutputFrequency'), ('UPS-MIB', 'upsOutputNumLines'), ('UPS-MIB', 'upsOutputVoltage'), ('UPS-MIB', 'upsOutputCurrent'), ('UPS-MIB', 'upsOutputPower'), ('UPS-MIB', 'upsOutputPercentLoad'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_full_output_group = upsFullOutputGroup.setStatus('current')
ups_full_bypass_group = object_group((1, 3, 6, 1, 2, 1, 33, 3, 2, 3, 5)).setObjects(('UPS-MIB', 'upsBypassFrequency'), ('UPS-MIB', 'upsBypassNumLines'), ('UPS-MIB', 'upsBypassVoltage'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_full_bypass_group = upsFullBypassGroup.setStatus('current')
ups_full_alarm_group = object_group((1, 3, 6, 1, 2, 1, 33, 3, 2, 3, 6)).setObjects(('UPS-MIB', 'upsAlarmsPresent'), ('UPS-MIB', 'upsAlarmDescr'), ('UPS-MIB', 'upsAlarmTime'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_full_alarm_group = upsFullAlarmGroup.setStatus('current')
ups_full_test_group = object_group((1, 3, 6, 1, 2, 1, 33, 3, 2, 3, 7)).setObjects(('UPS-MIB', 'upsTestId'), ('UPS-MIB', 'upsTestSpinLock'), ('UPS-MIB', 'upsTestResultsSummary'), ('UPS-MIB', 'upsTestResultsDetail'), ('UPS-MIB', 'upsTestStartTime'), ('UPS-MIB', 'upsTestElapsedTime'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_full_test_group = upsFullTestGroup.setStatus('current')
ups_full_control_group = object_group((1, 3, 6, 1, 2, 1, 33, 3, 2, 3, 8)).setObjects(('UPS-MIB', 'upsShutdownType'), ('UPS-MIB', 'upsShutdownAfterDelay'), ('UPS-MIB', 'upsStartupAfterDelay'), ('UPS-MIB', 'upsRebootWithDuration'), ('UPS-MIB', 'upsAutoRestart'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_full_control_group = upsFullControlGroup.setStatus('current')
ups_full_config_group = object_group((1, 3, 6, 1, 2, 1, 33, 3, 2, 3, 9)).setObjects(('UPS-MIB', 'upsConfigInputVoltage'), ('UPS-MIB', 'upsConfigInputFreq'), ('UPS-MIB', 'upsConfigOutputVoltage'), ('UPS-MIB', 'upsConfigOutputFreq'), ('UPS-MIB', 'upsConfigOutputVA'), ('UPS-MIB', 'upsConfigOutputPower'), ('UPS-MIB', 'upsConfigLowBattTime'), ('UPS-MIB', 'upsConfigAudibleStatus'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ups_full_config_group = upsFullConfigGroup.setStatus('current')
mibBuilder.exportSymbols('UPS-MIB', upsEstimatedChargeRemaining=upsEstimatedChargeRemaining, upsInputTable=upsInputTable, upsInputCurrent=upsInputCurrent, upsAlarmOutputBad=upsAlarmOutputBad, upsIdentUPSSoftwareVersion=upsIdentUPSSoftwareVersion, upsInputVoltage=upsInputVoltage, upsOutputEntry=upsOutputEntry, upsAlarmShutdownPending=upsAlarmShutdownPending, upsOutputFrequency=upsOutputFrequency, upsAlarmOutputOverload=upsAlarmOutputOverload, upsSubsetControlGroup=upsSubsetControlGroup, upsAlarmShutdownImminent=upsAlarmShutdownImminent, upsAlarmLowBattery=upsAlarmLowBattery, upsBatteryCurrent=upsBatteryCurrent, upsConfigOutputFreq=upsConfigOutputFreq, upsWellKnownTests=upsWellKnownTests, upsIdentManufacturer=upsIdentManufacturer, upsTestAbortTestInProgress=upsTestAbortTestInProgress, upsConfig=upsConfig, upsFullInputGroup=upsFullInputGroup, upsAlarmsPresent=upsAlarmsPresent, upsAlarmTempBad=upsAlarmTempBad, upsBypassFrequency=upsBypassFrequency, upsShutdownType=upsShutdownType, upsBatteryStatus=upsBatteryStatus, upsTrapTestCompleted=upsTrapTestCompleted, upsBasicIdentGroup=upsBasicIdentGroup, upsFullBatteryGroup=upsFullBatteryGroup, upsAlarmFuseFailure=upsAlarmFuseFailure, upsOutputCurrent=upsOutputCurrent, upsWellKnownAlarms=upsWellKnownAlarms, upsAlarmOnBattery=upsAlarmOnBattery, upsFullTestGroup=upsFullTestGroup, upsOutputNumLines=upsOutputNumLines, upsAlarmGeneralFault=upsAlarmGeneralFault, upsInputLineIndex=upsInputLineIndex, upsOutputPower=upsOutputPower, upsSubsetOutputGroup=upsSubsetOutputGroup, upsAlarmChargerFailed=upsAlarmChargerFailed, upsBasicBatteryGroup=upsBasicBatteryGroup, upsAlarmOnBypass=upsAlarmOnBypass, upsBasicOutputGroup=upsBasicOutputGroup, upsAlarmDiagnosticTestFailed=upsAlarmDiagnosticTestFailed, upsTestGeneralSystemsTest=upsTestGeneralSystemsTest, upsTestId=upsTestId, upsTrapAlarmEntryRemoved=upsTrapAlarmEntryRemoved, upsEstimatedMinutesRemaining=upsEstimatedMinutesRemaining, upsIdentAttachedDevices=upsIdentAttachedDevices, upsAlarmCommunicationsLost=upsAlarmCommunicationsLost, upsTestStartTime=upsTestStartTime, upsBasicInputGroup=upsBasicInputGroup, upsAlarmId=upsAlarmId, upsAlarmTime=upsAlarmTime, upsSubsetAlarmGroup=upsSubsetAlarmGroup, upsAlarmUpsOutputOff=upsAlarmUpsOutputOff, upsIdentName=upsIdentName, upsGroups=upsGroups, upsConfigOutputPower=upsConfigOutputPower, upsAlarmTestInProgress=upsAlarmTestInProgress, upsTestNoTestsInitiated=upsTestNoTestsInitiated, upsBasicConfigGroup=upsBasicConfigGroup, upsBatteryTemperature=upsBatteryTemperature, upsInputLineBads=upsInputLineBads, upsInputTruePower=upsInputTruePower, upsTest=upsTest, upsIdent=upsIdent, upsBypassVoltage=upsBypassVoltage, upsFullControlGroup=upsFullControlGroup, upsTraps=upsTraps, upsOutputTable=upsOutputTable, upsIdentModel=upsIdentModel, upsSubsetCompliance=upsSubsetCompliance, upsInputFrequency=upsInputFrequency, upsOutputVoltage=upsOutputVoltage, upsTrapOnBattery=upsTrapOnBattery, upsOutput=upsOutput, upsFullConfigGroup=upsFullConfigGroup, upsSubsetConfigGroup=upsSubsetConfigGroup, upsTestQuickBatteryTest=upsTestQuickBatteryTest, upsConfigOutputVoltage=upsConfigOutputVoltage, upsAlarmBypassBad=upsAlarmBypassBad, upsSecondsOnBattery=upsSecondsOnBattery, upsFullAlarmGroup=upsFullAlarmGroup, upsBypass=upsBypass, upsBypassLineIndex=upsBypassLineIndex, upsBypassNumLines=upsBypassNumLines, upsBypassCurrent=upsBypassCurrent, upsInput=upsInput, upsOutputSource=upsOutputSource, upsConfigAudibleStatus=upsConfigAudibleStatus, upsAlarmTable=upsAlarmTable, upsAlarmFanFailure=upsAlarmFanFailure, upsSubsetGroups=upsSubsetGroups, upsBasicControlGroup=upsBasicControlGroup, upsConfigHighVoltageTransferPoint=upsConfigHighVoltageTransferPoint, upsAlarmDepletedBattery=upsAlarmDepletedBattery, upsAutoRestart=upsAutoRestart, upsBasicGroups=upsBasicGroups, upsConfigOutputVA=upsConfigOutputVA, upsAlarmUpsSystemOff=upsAlarmUpsSystemOff, upsAlarmUpsOffAsRequested=upsAlarmUpsOffAsRequested, upsConformance=upsConformance, PYSNMP_MODULE_ID=upsMIB, upsIdentAgentSoftwareVersion=upsIdentAgentSoftwareVersion, upsRebootWithDuration=upsRebootWithDuration, upsObjects=upsObjects, upsTestResultsDetail=upsTestResultsDetail, upsOutputPercentLoad=upsOutputPercentLoad, upsBypassTable=upsBypassTable, upsFullBypassGroup=upsFullBypassGroup, upsSubsetBatteryGroup=upsSubsetBatteryGroup, upsAlarmEntry=upsAlarmEntry, upsControl=upsControl, upsTestDeepBatteryCalibration=upsTestDeepBatteryCalibration, upsStartupAfterDelay=upsStartupAfterDelay, upsCompliances=upsCompliances, upsFullOutputGroup=upsFullOutputGroup, NonNegativeInteger=NonNegativeInteger, upsFullIdentGroup=upsFullIdentGroup, upsInputNumLines=upsInputNumLines, upsBatteryVoltage=upsBatteryVoltage, upsBasicCompliance=upsBasicCompliance, upsSubsetInputGroup=upsSubsetInputGroup, upsOutputLineIndex=upsOutputLineIndex, upsAlarmBatteryBad=upsAlarmBatteryBad, upsBypassEntry=upsBypassEntry, upsConfigLowVoltageTransferPoint=upsConfigLowVoltageTransferPoint, upsMIB=upsMIB, upsBypassPower=upsBypassPower, upsConfigLowBattTime=upsConfigLowBattTime, upsBasicTestGroup=upsBasicTestGroup, upsConfigInputVoltage=upsConfigInputVoltage, upsTrapAlarmEntryAdded=upsTrapAlarmEntryAdded, upsTestSpinLock=upsTestSpinLock, upsBasicBypassGroup=upsBasicBypassGroup, upsTestElapsedTime=upsTestElapsedTime, upsInputEntry=upsInputEntry, PositiveInteger=PositiveInteger, upsFullCompliance=upsFullCompliance, upsAlarmAwaitingPower=upsAlarmAwaitingPower, upsShutdownAfterDelay=upsShutdownAfterDelay, upsConfigInputFreq=upsConfigInputFreq, upsAlarmDescr=upsAlarmDescr, upsAlarmOutputOffAsRequested=upsAlarmOutputOffAsRequested, upsBasicAlarmGroup=upsBasicAlarmGroup, upsBattery=upsBattery, upsSubsetIdentGroup=upsSubsetIdentGroup, upsAlarmInputBad=upsAlarmInputBad, upsFullGroups=upsFullGroups, upsTestResultsSummary=upsTestResultsSummary, upsAlarm=upsAlarm) |
#
# PySNMP MIB module ELTEX-MES-SNMP-COMMUNITY-EXT-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ELTEX-MES-SNMP-COMMUNITY-EXT-MIB
# Produced by pysmi-0.3.4 at Wed May 1 13:01:57 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
Integer, OctetString, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "Integer", "OctetString", "ObjectIdentifier")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsUnion, ConstraintsIntersection, ValueRangeConstraint, SingleValueConstraint, ValueSizeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "ConstraintsIntersection", "ValueRangeConstraint", "SingleValueConstraint", "ValueSizeConstraint")
eltMesSnmpCommExtMIB, = mibBuilder.importSymbols("ELTEX-MES-MNG-MIB", "eltMesSnmpCommExtMIB")
snmpCommunityEntry, = mibBuilder.importSymbols("SNMP-COMMUNITY-MIB", "snmpCommunityEntry")
ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup")
TimeTicks, ObjectIdentity, Counter64, Bits, MibScalar, MibTable, MibTableRow, MibTableColumn, NotificationType, MibIdentifier, Unsigned32, iso, Gauge32, IpAddress, Integer32, ModuleIdentity, Counter32 = mibBuilder.importSymbols("SNMPv2-SMI", "TimeTicks", "ObjectIdentity", "Counter64", "Bits", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "NotificationType", "MibIdentifier", "Unsigned32", "iso", "Gauge32", "IpAddress", "Integer32", "ModuleIdentity", "Counter32")
TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString")
eltSnmpCommunityTable = MibTable((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 4, 1), )
if mibBuilder.loadTexts: eltSnmpCommunityTable.setStatus('current')
if mibBuilder.loadTexts: eltSnmpCommunityTable.setDescription("The table of community strings configured in the SNMP engine's Local Configuration Datastore (LCD).")
eltSnmpCommunityEntry = MibTableRow((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 4, 1, 1), )
snmpCommunityEntry.registerAugmentions(("ELTEX-MES-SNMP-COMMUNITY-EXT-MIB", "eltSnmpCommunityEntry"))
eltSnmpCommunityEntry.setIndexNames(*snmpCommunityEntry.getIndexNames())
if mibBuilder.loadTexts: eltSnmpCommunityEntry.setStatus('current')
if mibBuilder.loadTexts: eltSnmpCommunityEntry.setDescription('Information about a particular community string.')
eltSnmpCommunityAccessList = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 4, 1, 1, 1), Integer32()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: eltSnmpCommunityAccessList.setStatus('current')
if mibBuilder.loadTexts: eltSnmpCommunityAccessList.setDescription('Index assigned to the ACL for SNMP community to filter SNMP requests.')
mibBuilder.exportSymbols("ELTEX-MES-SNMP-COMMUNITY-EXT-MIB", eltSnmpCommunityTable=eltSnmpCommunityTable, eltSnmpCommunityEntry=eltSnmpCommunityEntry, eltSnmpCommunityAccessList=eltSnmpCommunityAccessList)
| (integer, octet_string, object_identifier) = mibBuilder.importSymbols('ASN1', 'Integer', 'OctetString', 'ObjectIdentifier')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(constraints_union, constraints_intersection, value_range_constraint, single_value_constraint, value_size_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ConstraintsUnion', 'ConstraintsIntersection', 'ValueRangeConstraint', 'SingleValueConstraint', 'ValueSizeConstraint')
(elt_mes_snmp_comm_ext_mib,) = mibBuilder.importSymbols('ELTEX-MES-MNG-MIB', 'eltMesSnmpCommExtMIB')
(snmp_community_entry,) = mibBuilder.importSymbols('SNMP-COMMUNITY-MIB', 'snmpCommunityEntry')
(module_compliance, notification_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ModuleCompliance', 'NotificationGroup')
(time_ticks, object_identity, counter64, bits, mib_scalar, mib_table, mib_table_row, mib_table_column, notification_type, mib_identifier, unsigned32, iso, gauge32, ip_address, integer32, module_identity, counter32) = mibBuilder.importSymbols('SNMPv2-SMI', 'TimeTicks', 'ObjectIdentity', 'Counter64', 'Bits', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'NotificationType', 'MibIdentifier', 'Unsigned32', 'iso', 'Gauge32', 'IpAddress', 'Integer32', 'ModuleIdentity', 'Counter32')
(textual_convention, display_string) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'DisplayString')
elt_snmp_community_table = mib_table((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 4, 1))
if mibBuilder.loadTexts:
eltSnmpCommunityTable.setStatus('current')
if mibBuilder.loadTexts:
eltSnmpCommunityTable.setDescription("The table of community strings configured in the SNMP engine's Local Configuration Datastore (LCD).")
elt_snmp_community_entry = mib_table_row((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 4, 1, 1))
snmpCommunityEntry.registerAugmentions(('ELTEX-MES-SNMP-COMMUNITY-EXT-MIB', 'eltSnmpCommunityEntry'))
eltSnmpCommunityEntry.setIndexNames(*snmpCommunityEntry.getIndexNames())
if mibBuilder.loadTexts:
eltSnmpCommunityEntry.setStatus('current')
if mibBuilder.loadTexts:
eltSnmpCommunityEntry.setDescription('Information about a particular community string.')
elt_snmp_community_access_list = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 4, 1, 1, 1), integer32()).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
eltSnmpCommunityAccessList.setStatus('current')
if mibBuilder.loadTexts:
eltSnmpCommunityAccessList.setDescription('Index assigned to the ACL for SNMP community to filter SNMP requests.')
mibBuilder.exportSymbols('ELTEX-MES-SNMP-COMMUNITY-EXT-MIB', eltSnmpCommunityTable=eltSnmpCommunityTable, eltSnmpCommunityEntry=eltSnmpCommunityEntry, eltSnmpCommunityAccessList=eltSnmpCommunityAccessList) |
def fun(x):
return 2*x
fun(4)
| def fun(x):
return 2 * x
fun(4) |
# Define a class for the maze board
class Maze:
# Initialize number of rows, cols and start position
def __init__(self, rows, cols, start):
self.rows = rows
self.cols = cols
self.i = start[0]
self.j = start[1]
self.start = start
def set(self, rewards, actions):
self.rewards = rewards
self.actions = actions
def set_state(self, state):
self.i = state[0]
self.j = state[1]
def current_state(self):
return (self.i, self.j)
def is_terminal(self, state):
return state not in self.actions
def move(self, action):
if action in self.actions[(self.i, self.j)]:
if action == 'U':
self.i -= 1
elif action == 'D':
self.i += 1
elif action == 'L':
self.j -= 1
elif action == 'R':
self.j += 1
return self.rewards.get((self.i, self.j), 0)
def undo_move(self, action):
if action == 'U':
self.i += 1
elif action == 'D':
self.i -= 1
elif action == 'L':
self.j += 1
elif action == 'R':
self.j -= 1
def game_over(self):
return (self.i, self.j) not in self.actions
def all_states(self):
return set(self.actions.keys()) | set(self.rewards.keys())
def standard_maze(rows=8, cols=10, start=(7, 0)):
g = Maze(rows, cols, start)
stoppers = []
stoppers = [[(7, 7)], [(7, 3)], [
(0, 0), (1, 0), (2, 0), (3, 0), (4, 0), (4, 1), (6, 1), (7, 1), (1, 2),
(6, 2), (1, 3), (3, 3), (4, 3), (5, 3), (6, 3), (0, 5), (1, 5), (7, 5),
(7, 6), (5, 6), (5, 7), (0, 8), (2, 8), (4, 8), (5, 8), (7, 8), (0, 9), (7, 9),
(7, 2)
]]
'''
temp = []
ar, b = input("Enter a win: ").split(',')
stoppers.append(([[int(ar), int(b)]]))
ar, b = input("Enter a loss: ").split(',')
stoppers.append(([[int(ar), int(b)]]))
for t in range(int(input("Enter number of rocks"))):
ar, b = input("Enter a rock: ").split(',')
temp.append(([int(ar), int(b)]))
stoppers.append(temp)
actions = {}'''
actions = {}
for i in range(rows):
for j in range(cols):
list1 = []
if [(i, j)] not in stoppers and (i, j) not in stoppers[-1]:
if (i + 1, j) not in stoppers[-1] and i + 1 < rows:
list1.append('D')
if (i - 1, j) not in stoppers[-1] and i - 1 >= 0:
list1.append('U')
if (i, j + 1) not in stoppers[-1] and j + 1 < cols:
list1.append('R')
if (i, j - 1) not in stoppers[-1] and j - 1 >= 0:
list1.append('L')
actions[i, j] = tuple(list1)
'''
for i in range(rows):
for j in range(cols):
list1 = []
if [[i, j]] not in stoppers and [i, j] not in stoppers[-1]:
if [i + 1, j] not in stoppers[-1] and i + 1 < rows:
list1.append('D')
if [i - 1, j] not in stoppers[-1] and i - 1 >= 0:
list1.append('U')
if [i, j + 1] not in stoppers[-1] and j + 1 < cols:
list1.append('R')
if [i, j - 1] not in stoppers[-1] and j - 1 >= 0:
list1.append('L')
actions[i, j] = tuple(list1)
'''
rewards = {}
for win in stoppers[0]:
rewards[tuple(win)] = 1
for loss in stoppers[1]:
rewards[tuple(loss)] = -5
actions = {k: v for k, v in actions.items() if v is not ()}
g.set(rewards, actions)
return g
def negative_maze(step_cost=-0.1, rows=8, cols=10, start=(7, 0)):
g = standard_maze(rows, cols, start)
for i in list(g.actions.keys()):
g.rewards[i] = step_cost
return g
def print_values(Val, g):
for i in range(g.rows):
print("----------------------------------------------------------------------")
for j in range(g.cols):
v = Val.get((i, j), 0)
if v > 0:
print(" %.2f|" % v, end="")
elif v == 0:
print(" ### |", end="")
else:
print("%.2f|" % v, end="")
print("")
def print_policy(P, g):
for i in range(g.rows):
print("----------------------------------------------------------------------")
for j in range(g.cols):
p = P.get((i, j), " ")
if p != '':
print("%s |" % p, end="")
else:
print(" ### |", end="")
print("")
| class Maze:
def __init__(self, rows, cols, start):
self.rows = rows
self.cols = cols
self.i = start[0]
self.j = start[1]
self.start = start
def set(self, rewards, actions):
self.rewards = rewards
self.actions = actions
def set_state(self, state):
self.i = state[0]
self.j = state[1]
def current_state(self):
return (self.i, self.j)
def is_terminal(self, state):
return state not in self.actions
def move(self, action):
if action in self.actions[self.i, self.j]:
if action == 'U':
self.i -= 1
elif action == 'D':
self.i += 1
elif action == 'L':
self.j -= 1
elif action == 'R':
self.j += 1
return self.rewards.get((self.i, self.j), 0)
def undo_move(self, action):
if action == 'U':
self.i += 1
elif action == 'D':
self.i -= 1
elif action == 'L':
self.j += 1
elif action == 'R':
self.j -= 1
def game_over(self):
return (self.i, self.j) not in self.actions
def all_states(self):
return set(self.actions.keys()) | set(self.rewards.keys())
def standard_maze(rows=8, cols=10, start=(7, 0)):
g = maze(rows, cols, start)
stoppers = []
stoppers = [[(7, 7)], [(7, 3)], [(0, 0), (1, 0), (2, 0), (3, 0), (4, 0), (4, 1), (6, 1), (7, 1), (1, 2), (6, 2), (1, 3), (3, 3), (4, 3), (5, 3), (6, 3), (0, 5), (1, 5), (7, 5), (7, 6), (5, 6), (5, 7), (0, 8), (2, 8), (4, 8), (5, 8), (7, 8), (0, 9), (7, 9), (7, 2)]]
'\n temp = []\n ar, b = input("Enter a win: ").split(\',\')\n stoppers.append(([[int(ar), int(b)]]))\n\n ar, b = input("Enter a loss: ").split(\',\')\n stoppers.append(([[int(ar), int(b)]]))\n\n for t in range(int(input("Enter number of rocks"))):\n ar, b = input("Enter a rock: ").split(\',\')\n temp.append(([int(ar), int(b)]))\n stoppers.append(temp)\n actions = {}'
actions = {}
for i in range(rows):
for j in range(cols):
list1 = []
if [(i, j)] not in stoppers and (i, j) not in stoppers[-1]:
if (i + 1, j) not in stoppers[-1] and i + 1 < rows:
list1.append('D')
if (i - 1, j) not in stoppers[-1] and i - 1 >= 0:
list1.append('U')
if (i, j + 1) not in stoppers[-1] and j + 1 < cols:
list1.append('R')
if (i, j - 1) not in stoppers[-1] and j - 1 >= 0:
list1.append('L')
actions[i, j] = tuple(list1)
"\n for i in range(rows):\n for j in range(cols):\n list1 = []\n if [[i, j]] not in stoppers and [i, j] not in stoppers[-1]:\n\n if [i + 1, j] not in stoppers[-1] and i + 1 < rows:\n list1.append('D')\n if [i - 1, j] not in stoppers[-1] and i - 1 >= 0:\n list1.append('U')\n if [i, j + 1] not in stoppers[-1] and j + 1 < cols:\n list1.append('R')\n if [i, j - 1] not in stoppers[-1] and j - 1 >= 0:\n list1.append('L')\n\n actions[i, j] = tuple(list1)\n "
rewards = {}
for win in stoppers[0]:
rewards[tuple(win)] = 1
for loss in stoppers[1]:
rewards[tuple(loss)] = -5
actions = {k: v for (k, v) in actions.items() if v is not ()}
g.set(rewards, actions)
return g
def negative_maze(step_cost=-0.1, rows=8, cols=10, start=(7, 0)):
g = standard_maze(rows, cols, start)
for i in list(g.actions.keys()):
g.rewards[i] = step_cost
return g
def print_values(Val, g):
for i in range(g.rows):
print('----------------------------------------------------------------------')
for j in range(g.cols):
v = Val.get((i, j), 0)
if v > 0:
print(' %.2f|' % v, end='')
elif v == 0:
print(' ### |', end='')
else:
print('%.2f|' % v, end='')
print('')
def print_policy(P, g):
for i in range(g.rows):
print('----------------------------------------------------------------------')
for j in range(g.cols):
p = P.get((i, j), ' ')
if p != '':
print('%s |' % p, end='')
else:
print(' ### |', end='')
print('') |
SUPPORTED_TRANS = {
"height": "h",
"width": "w",
"aspect_ratio": "ar",
"quality": "q",
"crop": "c",
"crop_mode": "cm",
"x": "x",
"y": "y",
"focus": "fo",
"format": "f",
"radius": "r",
"background": "bg",
"border": "bo",
"rotation": "rt",
"blur": "bl",
"named": "n",
"overlay_image": "oi",
"overlay_x": "ox",
"overlay_y": "oy",
"overlay_focus": "ofo",
"overlay_height": "oh",
"overlay_width": "ow",
"overlay_text": "ot",
"overlay_text_font_size": "ots",
"overlay_text_font_family": "otf",
"overlay_text_color": "otc",
"overlay_alpha": "oa",
"overlay_text_typography": "ott",
"overlay_background": "obg",
"overlay_image_trim": "oit",
"progressive": "pr",
"lossless": "lo",
"trim": "t",
"metadata": "md",
"color_profile": "cp",
"default_image": "di",
"dpr": "dpr",
"effect_sharpen": "e-sharpen",
"effect_usm": "e-usm",
"effect_contrast": "e-contrast",
"effect_gray": "e-grayscale",
"original": "orig",
}
| supported_trans = {'height': 'h', 'width': 'w', 'aspect_ratio': 'ar', 'quality': 'q', 'crop': 'c', 'crop_mode': 'cm', 'x': 'x', 'y': 'y', 'focus': 'fo', 'format': 'f', 'radius': 'r', 'background': 'bg', 'border': 'bo', 'rotation': 'rt', 'blur': 'bl', 'named': 'n', 'overlay_image': 'oi', 'overlay_x': 'ox', 'overlay_y': 'oy', 'overlay_focus': 'ofo', 'overlay_height': 'oh', 'overlay_width': 'ow', 'overlay_text': 'ot', 'overlay_text_font_size': 'ots', 'overlay_text_font_family': 'otf', 'overlay_text_color': 'otc', 'overlay_alpha': 'oa', 'overlay_text_typography': 'ott', 'overlay_background': 'obg', 'overlay_image_trim': 'oit', 'progressive': 'pr', 'lossless': 'lo', 'trim': 't', 'metadata': 'md', 'color_profile': 'cp', 'default_image': 'di', 'dpr': 'dpr', 'effect_sharpen': 'e-sharpen', 'effect_usm': 'e-usm', 'effect_contrast': 'e-contrast', 'effect_gray': 'e-grayscale', 'original': 'orig'} |
class Agent:
'''
Base class for all agents
'''
def __init__(self, player):
self.player = player
pass
def get_next_action(self, game_env):
'''
Evaluates the game environment and returns the next best action according to the agent
Arguments:
game_env -> game environment
Returns:
next_move -> best move according to the agent
'''
pass
def update_agent_state(self, action):
'''
Observes the environment and updates the agent
Arguments:
action -> Action taken to change the state
'''
pass
def reset_agent(self):
'''
Reset the state of the agent
'''
pass
def get_action_value(self, game_env, action):
'''
Get the value of the next state achieved by the input action
Arguments:
action -> Action whose value has to be estimated
'''
pass
| class Agent:
"""
Base class for all agents
"""
def __init__(self, player):
self.player = player
pass
def get_next_action(self, game_env):
"""
Evaluates the game environment and returns the next best action according to the agent
Arguments:
game_env -> game environment
Returns:
next_move -> best move according to the agent
"""
pass
def update_agent_state(self, action):
"""
Observes the environment and updates the agent
Arguments:
action -> Action taken to change the state
"""
pass
def reset_agent(self):
"""
Reset the state of the agent
"""
pass
def get_action_value(self, game_env, action):
"""
Get the value of the next state achieved by the input action
Arguments:
action -> Action whose value has to be estimated
"""
pass |
class InvalidTag(Exception):
pass
class IgnoreObject(Exception):
def __init__(self, original_exception=None, trback=None, *args, **kwargs):
super(Exception, self).__init__(*args, **kwargs)
self.original_exception = original_exception
self.trback = trback
class UnknownProtocol(Exception):
pass
class MissingTransform(Exception):
pass
class ExtraTransform(Exception):
pass
| class Invalidtag(Exception):
pass
class Ignoreobject(Exception):
def __init__(self, original_exception=None, trback=None, *args, **kwargs):
super(Exception, self).__init__(*args, **kwargs)
self.original_exception = original_exception
self.trback = trback
class Unknownprotocol(Exception):
pass
class Missingtransform(Exception):
pass
class Extratransform(Exception):
pass |
commands = {
'app': {
'label': 'Application',
'actions': {
'neweditor': {
'label': 'New SQL editor',
'description': 'Open new SQL editor',
'icon': 'document-new-symbolic',
'shortcut': '<Control>N',
'callback': 'win.docview.add_worksheet'
},
'switch_editor1': {
'label': 'Switch to editor 1',
'shortcut': '<Alt>1',
'callback': 'win.docview.switch_to_editor',
'args': [1]
},
'switch_editor2': {
'label': 'Switch to editor 2',
'shortcut': '<Alt>2',
'callback': 'win.docview.switch_to_editor',
'args': [2]
},
'switch_editor3': {
'label': 'Switch to editor 3',
'shortcut': '<Alt>3',
'callback': 'win.docview.switch_to_editor',
'args': [3]
},
'switch_editor4': {
'label': 'Switch to editor 4',
'shortcut': '<Alt>4',
'callback': 'win.docview.switch_to_editor',
'args': [4]
},
'switch_editor5': {
'label': 'Switch to editor 5',
'shortcut': '<Alt>5',
'callback': 'win.docview.switch_to_editor',
'args': [5]
},
'switch_editor6': {
'label': 'Switch to editor 6',
'shortcut': '<Alt>6',
'callback': 'win.docview.switch_to_editor',
'args': [6]
},
'switch_editor7': {
'label': 'Switch to editor 7',
'shortcut': '<Alt>7',
'callback': 'win.docview.switch_to_editor',
'args': [7]
},
'switch_editor8': {
'label': 'Switch to editor 8',
'shortcut': '<Alt>8',
'callback': 'win.docview.switch_to_editor',
'args': [8]
},
'switch_editor9': {
'label': 'Switch to editor 9',
'shortcut': '<Alt>9',
'callback': 'win.docview.switch_to_editor',
'args': [9]
}
}
},
'editor': {
'label': 'SQL Editor',
'actions': {
'run': {
'label': 'Run SQL statement',
'description': 'Run SQL statement at cursor',
'icon': 'media-playback-start-symbolic',
'shortcut': '<Control>Return',
'callback': 'run_query'
},
'dbconnect': {
'label': 'Connect',
'description': 'Open or change database connection',
'icon': 'gtk-connect',
'shortcut': 'F9',
'callback': 'assume_connection',
'args': [True]
},
'openconnection': {
'label': 'Open assigned connection',
'description': 'Opens the currently assigned connection',
'shortcut': 'F10',
'callback': 'open_connection',
},
'dbdisconnect': {
'label': 'Disconnect',
'description': 'Close database connection',
'icon': 'gtk-disconnect',
'shortcut': 'F11',
'callback': 'set_connection',
'args': [None]
},
'format': {
'label': 'Format SQL',
'description': 'Format SQL statement at cursor',
'icon': 'format-indent-more-symbolic',
'shortcut': '<Alt>f',
'callback': 'editor.format_statement'
},
'jump_next': {
'label': 'Next statement',
'description': 'Jump to next statement',
'shortcut': '<Alt><Shift>Down',
'callback': 'editor.jump_next'
},
'jump_prev': {
'label': 'Previous statement',
'description': 'Jump to previous statement',
'shortcut': '<Alt><Shift>Up',
'callback': 'editor.jump_prev'
},
'close': {
'label': 'Close editor',
'description': 'Closes the current editor',
'shortcut': '<Ctrl>W',
'callback': 'editor.close',
},
'insert_uuid': {
'label': 'Insert UUID',
'description': 'Inserts a new UUID at cursor',
'callback': 'editor.insert_uuid',
'shortcut': '<Alt><Shift>u'
}
}
}
}
| commands = {'app': {'label': 'Application', 'actions': {'neweditor': {'label': 'New SQL editor', 'description': 'Open new SQL editor', 'icon': 'document-new-symbolic', 'shortcut': '<Control>N', 'callback': 'win.docview.add_worksheet'}, 'switch_editor1': {'label': 'Switch to editor 1', 'shortcut': '<Alt>1', 'callback': 'win.docview.switch_to_editor', 'args': [1]}, 'switch_editor2': {'label': 'Switch to editor 2', 'shortcut': '<Alt>2', 'callback': 'win.docview.switch_to_editor', 'args': [2]}, 'switch_editor3': {'label': 'Switch to editor 3', 'shortcut': '<Alt>3', 'callback': 'win.docview.switch_to_editor', 'args': [3]}, 'switch_editor4': {'label': 'Switch to editor 4', 'shortcut': '<Alt>4', 'callback': 'win.docview.switch_to_editor', 'args': [4]}, 'switch_editor5': {'label': 'Switch to editor 5', 'shortcut': '<Alt>5', 'callback': 'win.docview.switch_to_editor', 'args': [5]}, 'switch_editor6': {'label': 'Switch to editor 6', 'shortcut': '<Alt>6', 'callback': 'win.docview.switch_to_editor', 'args': [6]}, 'switch_editor7': {'label': 'Switch to editor 7', 'shortcut': '<Alt>7', 'callback': 'win.docview.switch_to_editor', 'args': [7]}, 'switch_editor8': {'label': 'Switch to editor 8', 'shortcut': '<Alt>8', 'callback': 'win.docview.switch_to_editor', 'args': [8]}, 'switch_editor9': {'label': 'Switch to editor 9', 'shortcut': '<Alt>9', 'callback': 'win.docview.switch_to_editor', 'args': [9]}}}, 'editor': {'label': 'SQL Editor', 'actions': {'run': {'label': 'Run SQL statement', 'description': 'Run SQL statement at cursor', 'icon': 'media-playback-start-symbolic', 'shortcut': '<Control>Return', 'callback': 'run_query'}, 'dbconnect': {'label': 'Connect', 'description': 'Open or change database connection', 'icon': 'gtk-connect', 'shortcut': 'F9', 'callback': 'assume_connection', 'args': [True]}, 'openconnection': {'label': 'Open assigned connection', 'description': 'Opens the currently assigned connection', 'shortcut': 'F10', 'callback': 'open_connection'}, 'dbdisconnect': {'label': 'Disconnect', 'description': 'Close database connection', 'icon': 'gtk-disconnect', 'shortcut': 'F11', 'callback': 'set_connection', 'args': [None]}, 'format': {'label': 'Format SQL', 'description': 'Format SQL statement at cursor', 'icon': 'format-indent-more-symbolic', 'shortcut': '<Alt>f', 'callback': 'editor.format_statement'}, 'jump_next': {'label': 'Next statement', 'description': 'Jump to next statement', 'shortcut': '<Alt><Shift>Down', 'callback': 'editor.jump_next'}, 'jump_prev': {'label': 'Previous statement', 'description': 'Jump to previous statement', 'shortcut': '<Alt><Shift>Up', 'callback': 'editor.jump_prev'}, 'close': {'label': 'Close editor', 'description': 'Closes the current editor', 'shortcut': '<Ctrl>W', 'callback': 'editor.close'}, 'insert_uuid': {'label': 'Insert UUID', 'description': 'Inserts a new UUID at cursor', 'callback': 'editor.insert_uuid', 'shortcut': '<Alt><Shift>u'}}}} |
# squares = []
# for value in range(1,11):
# squares.append(value ** 2);
# print(squares);
squares = [value ** 2 for value in range(1,11)]
print(squares) | squares = [value ** 2 for value in range(1, 11)]
print(squares) |
# Copyright (C) 2016-2017 Perceval Wajsburt <[email protected]>
#
# This module is part of SublimeTerm and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
class SpecialChar:
NEW_LINE = '\n'
TAB = '\t'
BEL = '\x07'
BACKSPACE = '\x08'
DEL = '\x7f'
UP = '\x1BOA'
DOWN = '\x1BOB'
LEFT = '\x1BOD'
RIGHT = '\x1BOC' # '\x1B[C'
ESCAPE = '\x1B'
| class Specialchar:
new_line = '\n'
tab = '\t'
bel = '\x07'
backspace = '\x08'
del = '\x7f'
up = '\x1bOA'
down = '\x1bOB'
left = '\x1bOD'
right = '\x1bOC'
escape = '\x1b' |
class Passenger:
def __init__(self, passenger_id, source, destination, spawn_time, controller):
self.passenger_id = passenger_id
self.destination = destination
self.source = source
self.spawn_time = spawn_time
self.current_stop = source
self.controller = controller
def get_waiting_time(self):
return self.controller.ticks-self.spawn_time
def get_attractivity(self, next_stop):
urgency = self.controller.average_minumum_delivery_time + self.get_waiting_time()
attractivity = self.controller.attractivity[self.current_stop.stop_id, self.destination.stop_id, next_stop]
return urgency * attractivity
def __eq__(self, other):
if isinstance(other, self.__class__):
return self.passenger_id == other.passenger_id
else:
return False | class Passenger:
def __init__(self, passenger_id, source, destination, spawn_time, controller):
self.passenger_id = passenger_id
self.destination = destination
self.source = source
self.spawn_time = spawn_time
self.current_stop = source
self.controller = controller
def get_waiting_time(self):
return self.controller.ticks - self.spawn_time
def get_attractivity(self, next_stop):
urgency = self.controller.average_minumum_delivery_time + self.get_waiting_time()
attractivity = self.controller.attractivity[self.current_stop.stop_id, self.destination.stop_id, next_stop]
return urgency * attractivity
def __eq__(self, other):
if isinstance(other, self.__class__):
return self.passenger_id == other.passenger_id
else:
return False |
n = int(input())
x = int(input())
li = list(map(int, input().split()))
l = [0]*n
print(*l,sep=" ")
if (x):
print("YES")
else:
print("NO") | n = int(input())
x = int(input())
li = list(map(int, input().split()))
l = [0] * n
print(*l, sep=' ')
if x:
print('YES')
else:
print('NO') |
print("holis")
#TODO agregar la linea intermedia
print("holis")
#print("holis")
print("holis")
print("holis")
#TODO agregar la linea numero 6 | print('holis')
print('holis')
print('holis')
print('holis') |
class TrainingStatus:
NEW = "NEW"
NEW_LOAD_MODEL = "NEW_LOAD_MODEL"
STARTED = "STARTED"
FINISHED = "FINISHED"
| class Trainingstatus:
new = 'NEW'
new_load_model = 'NEW_LOAD_MODEL'
started = 'STARTED'
finished = 'FINISHED' |
#
# PySNMP MIB module ALTIGA-HARDWARE-STATS-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ALTIGA-HARDWARE-STATS-MIB
# Produced by pysmi-0.3.4 at Wed May 1 11:21:29 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)
#
alHardwareMibModule, = mibBuilder.importSymbols("ALTIGA-GLOBAL-REG", "alHardwareMibModule")
alStatsHardware, alHardwareGroup = mibBuilder.importSymbols("ALTIGA-MIB", "alStatsHardware", "alHardwareGroup")
ObjectIdentifier, OctetString, Integer = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "OctetString", "Integer")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ValueSizeConstraint, ConstraintsUnion, ValueRangeConstraint, SingleValueConstraint, ConstraintsIntersection = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "ConstraintsUnion", "ValueRangeConstraint", "SingleValueConstraint", "ConstraintsIntersection")
ObjectGroup, NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "ObjectGroup", "NotificationGroup", "ModuleCompliance")
IpAddress, ObjectIdentity, MibIdentifier, Bits, Integer32, Gauge32, TimeTicks, Unsigned32, Counter64, iso, ModuleIdentity, NotificationType, Counter32, MibScalar, MibTable, MibTableRow, MibTableColumn = mibBuilder.importSymbols("SNMPv2-SMI", "IpAddress", "ObjectIdentity", "MibIdentifier", "Bits", "Integer32", "Gauge32", "TimeTicks", "Unsigned32", "Counter64", "iso", "ModuleIdentity", "NotificationType", "Counter32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn")
DisplayString, TruthValue, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TruthValue", "TextualConvention")
altigaHardwareStatsMibModule = ModuleIdentity((1, 3, 6, 1, 4, 1, 3076, 1, 1, 27, 2))
altigaHardwareStatsMibModule.setRevisions(('2003-03-27 13:00', '2002-09-05 13:00', '2002-07-10 00:00',))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts: altigaHardwareStatsMibModule.setRevisionsDescriptions(('Added new emun to ConcentratorCard.', 'Added module compliance.', 'Updated with new header',))
if mibBuilder.loadTexts: altigaHardwareStatsMibModule.setLastUpdated('200303271300Z')
if mibBuilder.loadTexts: altigaHardwareStatsMibModule.setOrganization('Cisco Systems, Inc.')
if mibBuilder.loadTexts: altigaHardwareStatsMibModule.setContactInfo('Cisco Systems 170 W Tasman Drive San Jose, CA 95134 USA Tel: +1 800 553-NETS E-mail: [email protected]')
if mibBuilder.loadTexts: altigaHardwareStatsMibModule.setDescription('The Altiga Hardware Statistics MIB models counters and objects that are of management interest for the hardware. Acronyms The following acronyms are used in this document: CPU: Central Processing Unit MB: Megabyte MIB: Management Information Base PS: Power Supply RPM: Revolutions Per Minute SEP: Scalable Encryption Processor WAN: Wide Area Network ')
class ConcentratorCard(TextualConvention, Integer32):
description = 'Concentrator Card Type.'
status = 'current'
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))
namedValues = NamedValues(("none", 1), ("sep", 2), ("dualT1Wan", 3), ("sepE", 4))
class ConcentratorType(TextualConvention, Integer32):
description = 'Concentrator Type indicates the chassis type.'
status = 'current'
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3))
namedValues = NamedValues(("cxx", 1), ("c5", 2), ("c1", 3))
alStatsHardwareGlobal = MibIdentifier((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1))
alHardwareCpuVoltage = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 1), Gauge32()).setUnits('centivolts').setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareCpuVoltage.setStatus('current')
if mibBuilder.loadTexts: alHardwareCpuVoltage.setDescription('The current CPU voltage in centivolts.')
alHardwareCpuVoltageAlarm = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 2), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareCpuVoltageAlarm.setStatus('current')
if mibBuilder.loadTexts: alHardwareCpuVoltageAlarm.setDescription('The alarm status for CPU voltage. This alarm will fired when the CPU voltage is detected out of configured range.')
alHardwareCpuVoltageCount = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 3), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareCpuVoltageCount.setStatus('current')
if mibBuilder.loadTexts: alHardwareCpuVoltageCount.setDescription('The number of alarm events for CPU voltage.')
alHardwareCpuVoltageTime = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 4), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareCpuVoltageTime.setStatus('current')
if mibBuilder.loadTexts: alHardwareCpuVoltageTime.setDescription('The sysUptime at the time of the last change of alarm status for CPU voltage.')
alHardwarePs1Voltage3v = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 5), Gauge32()).setUnits('centivolts').setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwarePs1Voltage3v.setStatus('current')
if mibBuilder.loadTexts: alHardwarePs1Voltage3v.setDescription('The current 3V voltage of Power Supply 1 in centivolts.')
alHardwarePs1Voltage3vAlarm = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 6), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwarePs1Voltage3vAlarm.setStatus('current')
if mibBuilder.loadTexts: alHardwarePs1Voltage3vAlarm.setDescription('The alarm status for PS1 3v voltage. This alarm will fired when the 3v power supply 1 voltage is detected out of configured range.')
alHardwarePs1Voltage3vCount = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 7), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwarePs1Voltage3vCount.setStatus('current')
if mibBuilder.loadTexts: alHardwarePs1Voltage3vCount.setDescription('The number of alarm events for PS1 3v voltage.')
alHardwarePs1Voltage3vTime = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 8), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwarePs1Voltage3vTime.setStatus('current')
if mibBuilder.loadTexts: alHardwarePs1Voltage3vTime.setDescription('The sysUptime at the time of the last change of alarm status for PS1 3v voltage.')
alHardwarePs1Voltage5v = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 9), Gauge32()).setUnits('centivolts').setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwarePs1Voltage5v.setStatus('current')
if mibBuilder.loadTexts: alHardwarePs1Voltage5v.setDescription('The current 5V voltage of Power Supply 1 in centivolts.')
alHardwarePs1Voltage5vAlarm = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 10), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwarePs1Voltage5vAlarm.setStatus('current')
if mibBuilder.loadTexts: alHardwarePs1Voltage5vAlarm.setDescription('The alarm status for PS1 5v voltage. This alarm will fired when the 5v power supply 1 voltage is detected out of configured range.')
alHardwarePs1Voltage5vCount = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 11), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwarePs1Voltage5vCount.setStatus('current')
if mibBuilder.loadTexts: alHardwarePs1Voltage5vCount.setDescription('The number of alarm events for PS1 5v voltage.')
alHardwarePs1Voltage5vTime = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 12), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwarePs1Voltage5vTime.setStatus('current')
if mibBuilder.loadTexts: alHardwarePs1Voltage5vTime.setDescription('The sysUptime at the time of the last change of alarm status for PS1 5v voltage.')
alHardwarePs2Voltage3v = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 13), Gauge32()).setUnits('centivolts').setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwarePs2Voltage3v.setStatus('current')
if mibBuilder.loadTexts: alHardwarePs2Voltage3v.setDescription('The current 3V voltage of Power Supply 2 in centivolts.')
alHardwarePs2Voltage3vAlarm = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 14), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwarePs2Voltage3vAlarm.setStatus('current')
if mibBuilder.loadTexts: alHardwarePs2Voltage3vAlarm.setDescription('The alarm status for PS2 3v voltage. This alarm will fired when the 3v power supply 2 voltage is detected out of configured range.')
alHardwarePs2Voltage3vCount = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 15), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwarePs2Voltage3vCount.setStatus('current')
if mibBuilder.loadTexts: alHardwarePs2Voltage3vCount.setDescription('The number of alarm events for PS2 3v voltage.')
alHardwarePs2Voltage3vTime = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 16), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwarePs2Voltage3vTime.setStatus('current')
if mibBuilder.loadTexts: alHardwarePs2Voltage3vTime.setDescription('The sysUptime at the time of the last change of alarm status for PS2 3v voltage.')
alHardwarePs2Voltage5v = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 17), Gauge32()).setUnits('centivolts').setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwarePs2Voltage5v.setStatus('current')
if mibBuilder.loadTexts: alHardwarePs2Voltage5v.setDescription('The current 5V voltage of Power Supply 2 in centivolts.')
alHardwarePs2Voltage5vAlarm = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 18), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwarePs2Voltage5vAlarm.setStatus('current')
if mibBuilder.loadTexts: alHardwarePs2Voltage5vAlarm.setDescription('The alarm status for PS2 5v voltage. This alarm will fired when the 5v power supply 2 voltage is detected out of configured range.')
alHardwarePs2Voltage5vCount = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 19), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwarePs2Voltage5vCount.setStatus('current')
if mibBuilder.loadTexts: alHardwarePs2Voltage5vCount.setDescription('The number of alarm events for PS2 5v voltage.')
alHardwarePs2Voltage5vTime = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 20), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwarePs2Voltage5vTime.setStatus('current')
if mibBuilder.loadTexts: alHardwarePs2Voltage5vTime.setDescription('The sysUptime at the time of the last change of alarm status for PS2 5v voltage.')
alHardwareBoardVoltage3v = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 21), Gauge32()).setUnits('centivolts').setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareBoardVoltage3v.setStatus('current')
if mibBuilder.loadTexts: alHardwareBoardVoltage3v.setDescription('The current 3V voltage of the mainboard in centivolts.')
alHardwareBoardVoltage3vAlarm = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 22), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareBoardVoltage3vAlarm.setStatus('current')
if mibBuilder.loadTexts: alHardwareBoardVoltage3vAlarm.setDescription('The alarm status for the mainboard 3v voltage. This alarm will fired when the 3v mainboard voltage is detected out of configured range.')
alHardwareBoardVoltage3vCount = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 23), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareBoardVoltage3vCount.setStatus('current')
if mibBuilder.loadTexts: alHardwareBoardVoltage3vCount.setDescription('The number of alarm events for the mainboard 3v voltage.')
alHardwareBoardVoltage3vTime = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 24), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareBoardVoltage3vTime.setStatus('current')
if mibBuilder.loadTexts: alHardwareBoardVoltage3vTime.setDescription('The sysUptime at the time of the last change of alarm status for the mainboard 3v voltage.')
alHardwareBoardVoltage5v = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 25), Gauge32()).setUnits('centivolts').setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareBoardVoltage5v.setStatus('current')
if mibBuilder.loadTexts: alHardwareBoardVoltage5v.setDescription('The current 5V voltage of the mainboard in centivolts.')
alHardwareBoardVoltage5vAlarm = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 26), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareBoardVoltage5vAlarm.setStatus('current')
if mibBuilder.loadTexts: alHardwareBoardVoltage5vAlarm.setDescription('The alarm status for the mainboard 5v voltage. This alarm will fired when the 5v mainboard voltage is detected out of configured range.')
alHardwareBoardVoltage5vCount = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 27), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareBoardVoltage5vCount.setStatus('current')
if mibBuilder.loadTexts: alHardwareBoardVoltage5vCount.setDescription('The number of alarm events for the mainboard 5v voltage.')
alHardwareBoardVoltage5vTime = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 28), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareBoardVoltage5vTime.setStatus('current')
if mibBuilder.loadTexts: alHardwareBoardVoltage5vTime.setDescription('The sysUptime at the time of the last change of alarm status for the mainboard 5v voltage.')
alHardwareCpuTemp = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 29), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-40, 120))).setUnits('degrees Celsius').setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareCpuTemp.setStatus('current')
if mibBuilder.loadTexts: alHardwareCpuTemp.setDescription('The current CPU temperature in degrees C.')
alHardwareCpuTempAlarm = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 30), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareCpuTempAlarm.setStatus('current')
if mibBuilder.loadTexts: alHardwareCpuTempAlarm.setDescription('The alarm status for the CPU temperature. This alarm will fired when the CPU temperature is detected out of configured range.')
alHardwareCpuTempCount = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 31), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareCpuTempCount.setStatus('current')
if mibBuilder.loadTexts: alHardwareCpuTempCount.setDescription('The number of alarm events for the CPU temperature.')
alHardwareCpuTempTime = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 32), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareCpuTempTime.setStatus('current')
if mibBuilder.loadTexts: alHardwareCpuTempTime.setDescription('The sysUptime at the time of the last change of alarm status for the CPU temperature.')
alHardwareCageTemp = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 33), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-40, 120))).setUnits('degrees Celsius').setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareCageTemp.setStatus('current')
if mibBuilder.loadTexts: alHardwareCageTemp.setDescription('The current cage temperature in degrees C.')
alHardwareCageTempAlarm = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 34), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareCageTempAlarm.setStatus('current')
if mibBuilder.loadTexts: alHardwareCageTempAlarm.setDescription('The alarm status for the cage temperature. This alarm will fired when the cage temperature is detected out of configured range.')
alHardwareCageTempCount = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 35), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareCageTempCount.setStatus('current')
if mibBuilder.loadTexts: alHardwareCageTempCount.setDescription('The number of alarm events for the cage temperature.')
alHardwareCageTempTime = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 36), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareCageTempTime.setStatus('current')
if mibBuilder.loadTexts: alHardwareCageTempTime.setDescription('The sysUptime at the time of the last change of alarm status for the cage temperature.')
alHardwareFan1Rpm = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 37), Gauge32()).setUnits('RPM').setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareFan1Rpm.setStatus('current')
if mibBuilder.loadTexts: alHardwareFan1Rpm.setDescription('The current speed of fan 1 in RPM.')
alHardwareFan1RpmAlarm = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 38), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareFan1RpmAlarm.setStatus('current')
if mibBuilder.loadTexts: alHardwareFan1RpmAlarm.setDescription('The alarm status for fan 1 RPM. This alarm will fired when fan 1 RPM is detected out of configured range.')
alHardwareFan1RpmCount = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 39), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareFan1RpmCount.setStatus('current')
if mibBuilder.loadTexts: alHardwareFan1RpmCount.setDescription('The number of alarm events for fan 1 RPM.')
alHardwareFan1RpmTime = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 40), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareFan1RpmTime.setStatus('current')
if mibBuilder.loadTexts: alHardwareFan1RpmTime.setDescription('The sysUptime at the time of the last change of alarm status for fan 1 RPM.')
alHardwareFan2Rpm = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 41), Gauge32()).setUnits('RPM').setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareFan2Rpm.setStatus('current')
if mibBuilder.loadTexts: alHardwareFan2Rpm.setDescription('The current speed of fan 2 in RPM.')
alHardwareFan2RpmAlarm = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 42), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareFan2RpmAlarm.setStatus('current')
if mibBuilder.loadTexts: alHardwareFan2RpmAlarm.setDescription('The alarm status for fan 2 RPM. This alarm will fired when fan 2 RPM is detected out of configured range.')
alHardwareFan2RpmCount = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 43), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareFan2RpmCount.setStatus('current')
if mibBuilder.loadTexts: alHardwareFan2RpmCount.setDescription('The number of alarm events for fan 2 RPM.')
alHardwareFan2RpmTime = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 44), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareFan2RpmTime.setStatus('current')
if mibBuilder.loadTexts: alHardwareFan2RpmTime.setDescription('The sysUptime at the time of the last change of alarm status for fan 2 RPM.')
alHardwareFan3Rpm = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 45), Gauge32()).setUnits('RPM').setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareFan3Rpm.setStatus('current')
if mibBuilder.loadTexts: alHardwareFan3Rpm.setDescription('The current speed of fan 3 in RPM.')
alHardwareFan3RpmAlarm = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 46), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareFan3RpmAlarm.setStatus('current')
if mibBuilder.loadTexts: alHardwareFan3RpmAlarm.setDescription('The alarm status for fan 3 RPM. This alarm will fired when fan 3 RPM is detected out of configured range.')
alHardwareFan3RpmCount = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 47), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareFan3RpmCount.setStatus('current')
if mibBuilder.loadTexts: alHardwareFan3RpmCount.setDescription('The number of alarm events for fan 3 RPM.')
alHardwareFan3RpmTime = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 48), TimeTicks()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareFan3RpmTime.setStatus('current')
if mibBuilder.loadTexts: alHardwareFan3RpmTime.setDescription('The sysUptime at the time of the last change of alarm status for fan 3 RPM.')
alHardwarePs1Type = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 49), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("none", 1), ("ac", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwarePs1Type.setStatus('current')
if mibBuilder.loadTexts: alHardwarePs1Type.setDescription('The type of power supply for Power Supply slot 1.')
alHardwarePs2Type = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 50), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("none", 1), ("ac", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwarePs2Type.setStatus('current')
if mibBuilder.loadTexts: alHardwarePs2Type.setDescription('The type of power supply for Power Supply slot 2.')
alHardwareSlot1Card = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 51), ConcentratorCard()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareSlot1Card.setStatus('current')
if mibBuilder.loadTexts: alHardwareSlot1Card.setDescription('The type of card in slot 1.')
alHardwareSlot2Card = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 52), ConcentratorCard()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareSlot2Card.setStatus('current')
if mibBuilder.loadTexts: alHardwareSlot2Card.setDescription('The type of card in slot 2.')
alHardwareSlot3Card = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 53), ConcentratorCard()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareSlot3Card.setStatus('current')
if mibBuilder.loadTexts: alHardwareSlot3Card.setDescription('The type of card in slot 3.')
alHardwareSlot4Card = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 54), ConcentratorCard()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareSlot4Card.setStatus('current')
if mibBuilder.loadTexts: alHardwareSlot4Card.setDescription('The type of card in slot 4.')
alHardwareSlot1Operational = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 55), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareSlot1Operational.setStatus('current')
if mibBuilder.loadTexts: alHardwareSlot1Operational.setDescription('The operational status of card in slot 1.')
alHardwareSlot2Operational = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 56), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareSlot2Operational.setStatus('current')
if mibBuilder.loadTexts: alHardwareSlot2Operational.setDescription('The operational status of card in slot 2.')
alHardwareSlot3Operational = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 57), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareSlot3Operational.setStatus('current')
if mibBuilder.loadTexts: alHardwareSlot3Operational.setDescription('The operational status of card in slot 3.')
alHardwareSlot4Operational = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 58), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareSlot4Operational.setStatus('current')
if mibBuilder.loadTexts: alHardwareSlot4Operational.setDescription('The operational status of card in slot 4.')
alHardwareRamSize = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 59), Unsigned32()).setUnits('MB').setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareRamSize.setStatus('current')
if mibBuilder.loadTexts: alHardwareRamSize.setDescription('The amount of memory, in MB on the concentrator.')
alHardwareChassis = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 60), ConcentratorType()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareChassis.setStatus('current')
if mibBuilder.loadTexts: alHardwareChassis.setDescription('The type of VPN Concentrator this is.')
alHardwareCpuVoltageNominal = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 61), Gauge32()).setUnits('centivolts').setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareCpuVoltageNominal.setStatus('current')
if mibBuilder.loadTexts: alHardwareCpuVoltageNominal.setDescription('The nominal CPU voltage in centivolts for the concentrator.')
alHardwareClientEthPrivSwitch = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 62), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareClientEthPrivSwitch.setStatus('current')
if mibBuilder.loadTexts: alHardwareClientEthPrivSwitch.setDescription('Whether or not the 3002 Hardware Client has an Ethernet Switch for the private interface.')
alHardwareSerialNumber = MibScalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 63), DisplayString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: alHardwareSerialNumber.setStatus('current')
if mibBuilder.loadTexts: alHardwareSerialNumber.setDescription('Unit serial number.')
altigaHardwareStatsMibConformance = MibIdentifier((1, 3, 6, 1, 4, 1, 3076, 1, 1, 27, 2, 1))
altigaHardwareStatsMibCompliances = MibIdentifier((1, 3, 6, 1, 4, 1, 3076, 1, 1, 27, 2, 1, 1))
altigaHardwareStatsMibCompliance = ModuleCompliance((1, 3, 6, 1, 4, 1, 3076, 1, 1, 27, 2, 1, 1, 1)).setObjects(("ALTIGA-HARDWARE-STATS-MIB", "altigaHardwareStatsGroup"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
altigaHardwareStatsMibCompliance = altigaHardwareStatsMibCompliance.setStatus('current')
if mibBuilder.loadTexts: altigaHardwareStatsMibCompliance.setDescription('The compliance statement for agents which implement the Altiga Hardware Statistics MIB.')
altigaHardwareStatsGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 3076, 2, 1, 1, 1, 22, 2)).setObjects(("ALTIGA-HARDWARE-STATS-MIB", "alHardwareCpuVoltage"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareCpuVoltageAlarm"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareCpuVoltageCount"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareCpuVoltageTime"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwarePs1Voltage3v"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwarePs1Voltage3vAlarm"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwarePs1Voltage3vCount"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwarePs1Voltage3vTime"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwarePs1Voltage5v"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwarePs1Voltage5vAlarm"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwarePs1Voltage5vCount"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwarePs1Voltage5vTime"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwarePs2Voltage3v"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwarePs2Voltage3vAlarm"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwarePs2Voltage3vCount"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwarePs2Voltage3vTime"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwarePs2Voltage5v"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwarePs2Voltage5vAlarm"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwarePs2Voltage5vCount"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwarePs2Voltage5vTime"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareBoardVoltage3v"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareBoardVoltage3vAlarm"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareBoardVoltage3vCount"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareBoardVoltage3vTime"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareBoardVoltage5v"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareBoardVoltage5vAlarm"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareBoardVoltage5vCount"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareBoardVoltage5vTime"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareCpuTemp"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareCpuTempAlarm"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareCpuTempCount"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareCpuTempTime"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareCageTemp"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareCageTempAlarm"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareCageTempCount"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareCageTempTime"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareFan1Rpm"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareFan1RpmAlarm"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareFan1RpmCount"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareFan1RpmTime"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareFan2Rpm"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareFan2RpmAlarm"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareFan2RpmCount"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareFan2RpmTime"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareFan3Rpm"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareFan3RpmAlarm"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareFan3RpmCount"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareFan3RpmTime"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwarePs1Type"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwarePs2Type"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareSlot1Card"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareSlot2Card"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareSlot3Card"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareSlot4Card"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareSlot1Operational"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareSlot2Operational"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareSlot3Operational"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareSlot4Operational"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareRamSize"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareChassis"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareCpuVoltageNominal"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareClientEthPrivSwitch"), ("ALTIGA-HARDWARE-STATS-MIB", "alHardwareSerialNumber"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
altigaHardwareStatsGroup = altigaHardwareStatsGroup.setStatus('current')
if mibBuilder.loadTexts: altigaHardwareStatsGroup.setDescription('The objects for Hardware statistics.')
mibBuilder.exportSymbols("ALTIGA-HARDWARE-STATS-MIB", alHardwareBoardVoltage3vCount=alHardwareBoardVoltage3vCount, alHardwareFan2RpmTime=alHardwareFan2RpmTime, altigaHardwareStatsMibModule=altigaHardwareStatsMibModule, alHardwarePs2Voltage5vCount=alHardwarePs2Voltage5vCount, alHardwareSlot2Card=alHardwareSlot2Card, alHardwareFan3Rpm=alHardwareFan3Rpm, alHardwarePs1Voltage3vCount=alHardwarePs1Voltage3vCount, alHardwareFan2RpmAlarm=alHardwareFan2RpmAlarm, altigaHardwareStatsMibCompliance=altigaHardwareStatsMibCompliance, alHardwareCpuVoltageCount=alHardwareCpuVoltageCount, alHardwareSlot2Operational=alHardwareSlot2Operational, alHardwareFan3RpmAlarm=alHardwareFan3RpmAlarm, alHardwareBoardVoltage3v=alHardwareBoardVoltage3v, alHardwareCageTemp=alHardwareCageTemp, altigaHardwareStatsMibConformance=altigaHardwareStatsMibConformance, alHardwarePs2Voltage5v=alHardwarePs2Voltage5v, alHardwarePs1Voltage3vAlarm=alHardwarePs1Voltage3vAlarm, alHardwareBoardVoltage5v=alHardwareBoardVoltage5v, alHardwareBoardVoltage5vAlarm=alHardwareBoardVoltage5vAlarm, alStatsHardwareGlobal=alStatsHardwareGlobal, alHardwarePs1Voltage5vTime=alHardwarePs1Voltage5vTime, alHardwareCageTempCount=alHardwareCageTempCount, alHardwarePs2Voltage3vTime=alHardwarePs2Voltage3vTime, alHardwareCageTempAlarm=alHardwareCageTempAlarm, alHardwareFan1Rpm=alHardwareFan1Rpm, alHardwareFan1RpmTime=alHardwareFan1RpmTime, alHardwarePs2Type=alHardwarePs2Type, alHardwareSlot4Card=alHardwareSlot4Card, alHardwareCpuVoltageNominal=alHardwareCpuVoltageNominal, alHardwarePs1Voltage5vAlarm=alHardwarePs1Voltage5vAlarm, alHardwareFan3RpmCount=alHardwareFan3RpmCount, alHardwareSlot4Operational=alHardwareSlot4Operational, alHardwareCpuTemp=alHardwareCpuTemp, alHardwareCpuVoltage=alHardwareCpuVoltage, alHardwareSlot1Operational=alHardwareSlot1Operational, altigaHardwareStatsMibCompliances=altigaHardwareStatsMibCompliances, alHardwarePs1Type=alHardwarePs1Type, ConcentratorType=ConcentratorType, alHardwareFan1RpmCount=alHardwareFan1RpmCount, altigaHardwareStatsGroup=altigaHardwareStatsGroup, alHardwareCpuVoltageTime=alHardwareCpuVoltageTime, ConcentratorCard=ConcentratorCard, alHardwarePs2Voltage3vCount=alHardwarePs2Voltage3vCount, alHardwareCpuTempAlarm=alHardwareCpuTempAlarm, alHardwarePs1Voltage3v=alHardwarePs1Voltage3v, alHardwarePs2Voltage3v=alHardwarePs2Voltage3v, alHardwareBoardVoltage5vCount=alHardwareBoardVoltage5vCount, alHardwareFan1RpmAlarm=alHardwareFan1RpmAlarm, alHardwarePs1Voltage5vCount=alHardwarePs1Voltage5vCount, alHardwareBoardVoltage3vTime=alHardwareBoardVoltage3vTime, alHardwarePs1Voltage3vTime=alHardwarePs1Voltage3vTime, alHardwareFan3RpmTime=alHardwareFan3RpmTime, alHardwareBoardVoltage5vTime=alHardwareBoardVoltage5vTime, alHardwareSlot3Operational=alHardwareSlot3Operational, alHardwareCpuTempTime=alHardwareCpuTempTime, alHardwareRamSize=alHardwareRamSize, alHardwarePs2Voltage5vTime=alHardwarePs2Voltage5vTime, alHardwareBoardVoltage3vAlarm=alHardwareBoardVoltage3vAlarm, alHardwareCageTempTime=alHardwareCageTempTime, alHardwareSerialNumber=alHardwareSerialNumber, alHardwarePs2Voltage3vAlarm=alHardwarePs2Voltage3vAlarm, alHardwareCpuVoltageAlarm=alHardwareCpuVoltageAlarm, alHardwareClientEthPrivSwitch=alHardwareClientEthPrivSwitch, PYSNMP_MODULE_ID=altigaHardwareStatsMibModule, alHardwareSlot1Card=alHardwareSlot1Card, alHardwarePs1Voltage5v=alHardwarePs1Voltage5v, alHardwarePs2Voltage5vAlarm=alHardwarePs2Voltage5vAlarm, alHardwareFan2Rpm=alHardwareFan2Rpm, alHardwareChassis=alHardwareChassis, alHardwareSlot3Card=alHardwareSlot3Card, alHardwareCpuTempCount=alHardwareCpuTempCount, alHardwareFan2RpmCount=alHardwareFan2RpmCount)
| (al_hardware_mib_module,) = mibBuilder.importSymbols('ALTIGA-GLOBAL-REG', 'alHardwareMibModule')
(al_stats_hardware, al_hardware_group) = mibBuilder.importSymbols('ALTIGA-MIB', 'alStatsHardware', 'alHardwareGroup')
(object_identifier, octet_string, integer) = mibBuilder.importSymbols('ASN1', 'ObjectIdentifier', 'OctetString', 'Integer')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(value_size_constraint, constraints_union, value_range_constraint, single_value_constraint, constraints_intersection) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ValueSizeConstraint', 'ConstraintsUnion', 'ValueRangeConstraint', 'SingleValueConstraint', 'ConstraintsIntersection')
(object_group, notification_group, module_compliance) = mibBuilder.importSymbols('SNMPv2-CONF', 'ObjectGroup', 'NotificationGroup', 'ModuleCompliance')
(ip_address, object_identity, mib_identifier, bits, integer32, gauge32, time_ticks, unsigned32, counter64, iso, module_identity, notification_type, counter32, mib_scalar, mib_table, mib_table_row, mib_table_column) = mibBuilder.importSymbols('SNMPv2-SMI', 'IpAddress', 'ObjectIdentity', 'MibIdentifier', 'Bits', 'Integer32', 'Gauge32', 'TimeTicks', 'Unsigned32', 'Counter64', 'iso', 'ModuleIdentity', 'NotificationType', 'Counter32', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn')
(display_string, truth_value, textual_convention) = mibBuilder.importSymbols('SNMPv2-TC', 'DisplayString', 'TruthValue', 'TextualConvention')
altiga_hardware_stats_mib_module = module_identity((1, 3, 6, 1, 4, 1, 3076, 1, 1, 27, 2))
altigaHardwareStatsMibModule.setRevisions(('2003-03-27 13:00', '2002-09-05 13:00', '2002-07-10 00:00'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts:
altigaHardwareStatsMibModule.setRevisionsDescriptions(('Added new emun to ConcentratorCard.', 'Added module compliance.', 'Updated with new header'))
if mibBuilder.loadTexts:
altigaHardwareStatsMibModule.setLastUpdated('200303271300Z')
if mibBuilder.loadTexts:
altigaHardwareStatsMibModule.setOrganization('Cisco Systems, Inc.')
if mibBuilder.loadTexts:
altigaHardwareStatsMibModule.setContactInfo('Cisco Systems 170 W Tasman Drive San Jose, CA 95134 USA Tel: +1 800 553-NETS E-mail: [email protected]')
if mibBuilder.loadTexts:
altigaHardwareStatsMibModule.setDescription('The Altiga Hardware Statistics MIB models counters and objects that are of management interest for the hardware. Acronyms The following acronyms are used in this document: CPU: Central Processing Unit MB: Megabyte MIB: Management Information Base PS: Power Supply RPM: Revolutions Per Minute SEP: Scalable Encryption Processor WAN: Wide Area Network ')
class Concentratorcard(TextualConvention, Integer32):
description = 'Concentrator Card Type.'
status = 'current'
subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(1, 2, 3, 4))
named_values = named_values(('none', 1), ('sep', 2), ('dualT1Wan', 3), ('sepE', 4))
class Concentratortype(TextualConvention, Integer32):
description = 'Concentrator Type indicates the chassis type.'
status = 'current'
subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(1, 2, 3))
named_values = named_values(('cxx', 1), ('c5', 2), ('c1', 3))
al_stats_hardware_global = mib_identifier((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1))
al_hardware_cpu_voltage = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 1), gauge32()).setUnits('centivolts').setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareCpuVoltage.setStatus('current')
if mibBuilder.loadTexts:
alHardwareCpuVoltage.setDescription('The current CPU voltage in centivolts.')
al_hardware_cpu_voltage_alarm = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 2), truth_value()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareCpuVoltageAlarm.setStatus('current')
if mibBuilder.loadTexts:
alHardwareCpuVoltageAlarm.setDescription('The alarm status for CPU voltage. This alarm will fired when the CPU voltage is detected out of configured range.')
al_hardware_cpu_voltage_count = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 3), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareCpuVoltageCount.setStatus('current')
if mibBuilder.loadTexts:
alHardwareCpuVoltageCount.setDescription('The number of alarm events for CPU voltage.')
al_hardware_cpu_voltage_time = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 4), time_ticks()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareCpuVoltageTime.setStatus('current')
if mibBuilder.loadTexts:
alHardwareCpuVoltageTime.setDescription('The sysUptime at the time of the last change of alarm status for CPU voltage.')
al_hardware_ps1_voltage3v = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 5), gauge32()).setUnits('centivolts').setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwarePs1Voltage3v.setStatus('current')
if mibBuilder.loadTexts:
alHardwarePs1Voltage3v.setDescription('The current 3V voltage of Power Supply 1 in centivolts.')
al_hardware_ps1_voltage3v_alarm = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 6), truth_value()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwarePs1Voltage3vAlarm.setStatus('current')
if mibBuilder.loadTexts:
alHardwarePs1Voltage3vAlarm.setDescription('The alarm status for PS1 3v voltage. This alarm will fired when the 3v power supply 1 voltage is detected out of configured range.')
al_hardware_ps1_voltage3v_count = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 7), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwarePs1Voltage3vCount.setStatus('current')
if mibBuilder.loadTexts:
alHardwarePs1Voltage3vCount.setDescription('The number of alarm events for PS1 3v voltage.')
al_hardware_ps1_voltage3v_time = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 8), time_ticks()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwarePs1Voltage3vTime.setStatus('current')
if mibBuilder.loadTexts:
alHardwarePs1Voltage3vTime.setDescription('The sysUptime at the time of the last change of alarm status for PS1 3v voltage.')
al_hardware_ps1_voltage5v = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 9), gauge32()).setUnits('centivolts').setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwarePs1Voltage5v.setStatus('current')
if mibBuilder.loadTexts:
alHardwarePs1Voltage5v.setDescription('The current 5V voltage of Power Supply 1 in centivolts.')
al_hardware_ps1_voltage5v_alarm = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 10), truth_value()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwarePs1Voltage5vAlarm.setStatus('current')
if mibBuilder.loadTexts:
alHardwarePs1Voltage5vAlarm.setDescription('The alarm status for PS1 5v voltage. This alarm will fired when the 5v power supply 1 voltage is detected out of configured range.')
al_hardware_ps1_voltage5v_count = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 11), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwarePs1Voltage5vCount.setStatus('current')
if mibBuilder.loadTexts:
alHardwarePs1Voltage5vCount.setDescription('The number of alarm events for PS1 5v voltage.')
al_hardware_ps1_voltage5v_time = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 12), time_ticks()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwarePs1Voltage5vTime.setStatus('current')
if mibBuilder.loadTexts:
alHardwarePs1Voltage5vTime.setDescription('The sysUptime at the time of the last change of alarm status for PS1 5v voltage.')
al_hardware_ps2_voltage3v = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 13), gauge32()).setUnits('centivolts').setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwarePs2Voltage3v.setStatus('current')
if mibBuilder.loadTexts:
alHardwarePs2Voltage3v.setDescription('The current 3V voltage of Power Supply 2 in centivolts.')
al_hardware_ps2_voltage3v_alarm = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 14), truth_value()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwarePs2Voltage3vAlarm.setStatus('current')
if mibBuilder.loadTexts:
alHardwarePs2Voltage3vAlarm.setDescription('The alarm status for PS2 3v voltage. This alarm will fired when the 3v power supply 2 voltage is detected out of configured range.')
al_hardware_ps2_voltage3v_count = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 15), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwarePs2Voltage3vCount.setStatus('current')
if mibBuilder.loadTexts:
alHardwarePs2Voltage3vCount.setDescription('The number of alarm events for PS2 3v voltage.')
al_hardware_ps2_voltage3v_time = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 16), time_ticks()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwarePs2Voltage3vTime.setStatus('current')
if mibBuilder.loadTexts:
alHardwarePs2Voltage3vTime.setDescription('The sysUptime at the time of the last change of alarm status for PS2 3v voltage.')
al_hardware_ps2_voltage5v = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 17), gauge32()).setUnits('centivolts').setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwarePs2Voltage5v.setStatus('current')
if mibBuilder.loadTexts:
alHardwarePs2Voltage5v.setDescription('The current 5V voltage of Power Supply 2 in centivolts.')
al_hardware_ps2_voltage5v_alarm = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 18), truth_value()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwarePs2Voltage5vAlarm.setStatus('current')
if mibBuilder.loadTexts:
alHardwarePs2Voltage5vAlarm.setDescription('The alarm status for PS2 5v voltage. This alarm will fired when the 5v power supply 2 voltage is detected out of configured range.')
al_hardware_ps2_voltage5v_count = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 19), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwarePs2Voltage5vCount.setStatus('current')
if mibBuilder.loadTexts:
alHardwarePs2Voltage5vCount.setDescription('The number of alarm events for PS2 5v voltage.')
al_hardware_ps2_voltage5v_time = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 20), time_ticks()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwarePs2Voltage5vTime.setStatus('current')
if mibBuilder.loadTexts:
alHardwarePs2Voltage5vTime.setDescription('The sysUptime at the time of the last change of alarm status for PS2 5v voltage.')
al_hardware_board_voltage3v = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 21), gauge32()).setUnits('centivolts').setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareBoardVoltage3v.setStatus('current')
if mibBuilder.loadTexts:
alHardwareBoardVoltage3v.setDescription('The current 3V voltage of the mainboard in centivolts.')
al_hardware_board_voltage3v_alarm = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 22), truth_value()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareBoardVoltage3vAlarm.setStatus('current')
if mibBuilder.loadTexts:
alHardwareBoardVoltage3vAlarm.setDescription('The alarm status for the mainboard 3v voltage. This alarm will fired when the 3v mainboard voltage is detected out of configured range.')
al_hardware_board_voltage3v_count = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 23), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareBoardVoltage3vCount.setStatus('current')
if mibBuilder.loadTexts:
alHardwareBoardVoltage3vCount.setDescription('The number of alarm events for the mainboard 3v voltage.')
al_hardware_board_voltage3v_time = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 24), time_ticks()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareBoardVoltage3vTime.setStatus('current')
if mibBuilder.loadTexts:
alHardwareBoardVoltage3vTime.setDescription('The sysUptime at the time of the last change of alarm status for the mainboard 3v voltage.')
al_hardware_board_voltage5v = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 25), gauge32()).setUnits('centivolts').setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareBoardVoltage5v.setStatus('current')
if mibBuilder.loadTexts:
alHardwareBoardVoltage5v.setDescription('The current 5V voltage of the mainboard in centivolts.')
al_hardware_board_voltage5v_alarm = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 26), truth_value()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareBoardVoltage5vAlarm.setStatus('current')
if mibBuilder.loadTexts:
alHardwareBoardVoltage5vAlarm.setDescription('The alarm status for the mainboard 5v voltage. This alarm will fired when the 5v mainboard voltage is detected out of configured range.')
al_hardware_board_voltage5v_count = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 27), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareBoardVoltage5vCount.setStatus('current')
if mibBuilder.loadTexts:
alHardwareBoardVoltage5vCount.setDescription('The number of alarm events for the mainboard 5v voltage.')
al_hardware_board_voltage5v_time = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 28), time_ticks()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareBoardVoltage5vTime.setStatus('current')
if mibBuilder.loadTexts:
alHardwareBoardVoltage5vTime.setDescription('The sysUptime at the time of the last change of alarm status for the mainboard 5v voltage.')
al_hardware_cpu_temp = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 29), integer32().subtype(subtypeSpec=value_range_constraint(-40, 120))).setUnits('degrees Celsius').setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareCpuTemp.setStatus('current')
if mibBuilder.loadTexts:
alHardwareCpuTemp.setDescription('The current CPU temperature in degrees C.')
al_hardware_cpu_temp_alarm = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 30), truth_value()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareCpuTempAlarm.setStatus('current')
if mibBuilder.loadTexts:
alHardwareCpuTempAlarm.setDescription('The alarm status for the CPU temperature. This alarm will fired when the CPU temperature is detected out of configured range.')
al_hardware_cpu_temp_count = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 31), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareCpuTempCount.setStatus('current')
if mibBuilder.loadTexts:
alHardwareCpuTempCount.setDescription('The number of alarm events for the CPU temperature.')
al_hardware_cpu_temp_time = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 32), time_ticks()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareCpuTempTime.setStatus('current')
if mibBuilder.loadTexts:
alHardwareCpuTempTime.setDescription('The sysUptime at the time of the last change of alarm status for the CPU temperature.')
al_hardware_cage_temp = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 33), integer32().subtype(subtypeSpec=value_range_constraint(-40, 120))).setUnits('degrees Celsius').setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareCageTemp.setStatus('current')
if mibBuilder.loadTexts:
alHardwareCageTemp.setDescription('The current cage temperature in degrees C.')
al_hardware_cage_temp_alarm = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 34), truth_value()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareCageTempAlarm.setStatus('current')
if mibBuilder.loadTexts:
alHardwareCageTempAlarm.setDescription('The alarm status for the cage temperature. This alarm will fired when the cage temperature is detected out of configured range.')
al_hardware_cage_temp_count = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 35), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareCageTempCount.setStatus('current')
if mibBuilder.loadTexts:
alHardwareCageTempCount.setDescription('The number of alarm events for the cage temperature.')
al_hardware_cage_temp_time = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 36), time_ticks()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareCageTempTime.setStatus('current')
if mibBuilder.loadTexts:
alHardwareCageTempTime.setDescription('The sysUptime at the time of the last change of alarm status for the cage temperature.')
al_hardware_fan1_rpm = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 37), gauge32()).setUnits('RPM').setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareFan1Rpm.setStatus('current')
if mibBuilder.loadTexts:
alHardwareFan1Rpm.setDescription('The current speed of fan 1 in RPM.')
al_hardware_fan1_rpm_alarm = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 38), truth_value()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareFan1RpmAlarm.setStatus('current')
if mibBuilder.loadTexts:
alHardwareFan1RpmAlarm.setDescription('The alarm status for fan 1 RPM. This alarm will fired when fan 1 RPM is detected out of configured range.')
al_hardware_fan1_rpm_count = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 39), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareFan1RpmCount.setStatus('current')
if mibBuilder.loadTexts:
alHardwareFan1RpmCount.setDescription('The number of alarm events for fan 1 RPM.')
al_hardware_fan1_rpm_time = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 40), time_ticks()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareFan1RpmTime.setStatus('current')
if mibBuilder.loadTexts:
alHardwareFan1RpmTime.setDescription('The sysUptime at the time of the last change of alarm status for fan 1 RPM.')
al_hardware_fan2_rpm = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 41), gauge32()).setUnits('RPM').setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareFan2Rpm.setStatus('current')
if mibBuilder.loadTexts:
alHardwareFan2Rpm.setDescription('The current speed of fan 2 in RPM.')
al_hardware_fan2_rpm_alarm = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 42), truth_value()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareFan2RpmAlarm.setStatus('current')
if mibBuilder.loadTexts:
alHardwareFan2RpmAlarm.setDescription('The alarm status for fan 2 RPM. This alarm will fired when fan 2 RPM is detected out of configured range.')
al_hardware_fan2_rpm_count = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 43), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareFan2RpmCount.setStatus('current')
if mibBuilder.loadTexts:
alHardwareFan2RpmCount.setDescription('The number of alarm events for fan 2 RPM.')
al_hardware_fan2_rpm_time = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 44), time_ticks()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareFan2RpmTime.setStatus('current')
if mibBuilder.loadTexts:
alHardwareFan2RpmTime.setDescription('The sysUptime at the time of the last change of alarm status for fan 2 RPM.')
al_hardware_fan3_rpm = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 45), gauge32()).setUnits('RPM').setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareFan3Rpm.setStatus('current')
if mibBuilder.loadTexts:
alHardwareFan3Rpm.setDescription('The current speed of fan 3 in RPM.')
al_hardware_fan3_rpm_alarm = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 46), truth_value()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareFan3RpmAlarm.setStatus('current')
if mibBuilder.loadTexts:
alHardwareFan3RpmAlarm.setDescription('The alarm status for fan 3 RPM. This alarm will fired when fan 3 RPM is detected out of configured range.')
al_hardware_fan3_rpm_count = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 47), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareFan3RpmCount.setStatus('current')
if mibBuilder.loadTexts:
alHardwareFan3RpmCount.setDescription('The number of alarm events for fan 3 RPM.')
al_hardware_fan3_rpm_time = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 48), time_ticks()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareFan3RpmTime.setStatus('current')
if mibBuilder.loadTexts:
alHardwareFan3RpmTime.setDescription('The sysUptime at the time of the last change of alarm status for fan 3 RPM.')
al_hardware_ps1_type = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 49), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('none', 1), ('ac', 2)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwarePs1Type.setStatus('current')
if mibBuilder.loadTexts:
alHardwarePs1Type.setDescription('The type of power supply for Power Supply slot 1.')
al_hardware_ps2_type = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 50), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('none', 1), ('ac', 2)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwarePs2Type.setStatus('current')
if mibBuilder.loadTexts:
alHardwarePs2Type.setDescription('The type of power supply for Power Supply slot 2.')
al_hardware_slot1_card = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 51), concentrator_card()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareSlot1Card.setStatus('current')
if mibBuilder.loadTexts:
alHardwareSlot1Card.setDescription('The type of card in slot 1.')
al_hardware_slot2_card = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 52), concentrator_card()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareSlot2Card.setStatus('current')
if mibBuilder.loadTexts:
alHardwareSlot2Card.setDescription('The type of card in slot 2.')
al_hardware_slot3_card = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 53), concentrator_card()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareSlot3Card.setStatus('current')
if mibBuilder.loadTexts:
alHardwareSlot3Card.setDescription('The type of card in slot 3.')
al_hardware_slot4_card = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 54), concentrator_card()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareSlot4Card.setStatus('current')
if mibBuilder.loadTexts:
alHardwareSlot4Card.setDescription('The type of card in slot 4.')
al_hardware_slot1_operational = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 55), truth_value()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareSlot1Operational.setStatus('current')
if mibBuilder.loadTexts:
alHardwareSlot1Operational.setDescription('The operational status of card in slot 1.')
al_hardware_slot2_operational = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 56), truth_value()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareSlot2Operational.setStatus('current')
if mibBuilder.loadTexts:
alHardwareSlot2Operational.setDescription('The operational status of card in slot 2.')
al_hardware_slot3_operational = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 57), truth_value()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareSlot3Operational.setStatus('current')
if mibBuilder.loadTexts:
alHardwareSlot3Operational.setDescription('The operational status of card in slot 3.')
al_hardware_slot4_operational = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 58), truth_value()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareSlot4Operational.setStatus('current')
if mibBuilder.loadTexts:
alHardwareSlot4Operational.setDescription('The operational status of card in slot 4.')
al_hardware_ram_size = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 59), unsigned32()).setUnits('MB').setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareRamSize.setStatus('current')
if mibBuilder.loadTexts:
alHardwareRamSize.setDescription('The amount of memory, in MB on the concentrator.')
al_hardware_chassis = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 60), concentrator_type()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareChassis.setStatus('current')
if mibBuilder.loadTexts:
alHardwareChassis.setDescription('The type of VPN Concentrator this is.')
al_hardware_cpu_voltage_nominal = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 61), gauge32()).setUnits('centivolts').setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareCpuVoltageNominal.setStatus('current')
if mibBuilder.loadTexts:
alHardwareCpuVoltageNominal.setDescription('The nominal CPU voltage in centivolts for the concentrator.')
al_hardware_client_eth_priv_switch = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 62), truth_value()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareClientEthPrivSwitch.setStatus('current')
if mibBuilder.loadTexts:
alHardwareClientEthPrivSwitch.setDescription('Whether or not the 3002 Hardware Client has an Ethernet Switch for the private interface.')
al_hardware_serial_number = mib_scalar((1, 3, 6, 1, 4, 1, 3076, 2, 1, 2, 22, 1, 63), display_string()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
alHardwareSerialNumber.setStatus('current')
if mibBuilder.loadTexts:
alHardwareSerialNumber.setDescription('Unit serial number.')
altiga_hardware_stats_mib_conformance = mib_identifier((1, 3, 6, 1, 4, 1, 3076, 1, 1, 27, 2, 1))
altiga_hardware_stats_mib_compliances = mib_identifier((1, 3, 6, 1, 4, 1, 3076, 1, 1, 27, 2, 1, 1))
altiga_hardware_stats_mib_compliance = module_compliance((1, 3, 6, 1, 4, 1, 3076, 1, 1, 27, 2, 1, 1, 1)).setObjects(('ALTIGA-HARDWARE-STATS-MIB', 'altigaHardwareStatsGroup'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
altiga_hardware_stats_mib_compliance = altigaHardwareStatsMibCompliance.setStatus('current')
if mibBuilder.loadTexts:
altigaHardwareStatsMibCompliance.setDescription('The compliance statement for agents which implement the Altiga Hardware Statistics MIB.')
altiga_hardware_stats_group = object_group((1, 3, 6, 1, 4, 1, 3076, 2, 1, 1, 1, 22, 2)).setObjects(('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareCpuVoltage'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareCpuVoltageAlarm'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareCpuVoltageCount'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareCpuVoltageTime'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwarePs1Voltage3v'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwarePs1Voltage3vAlarm'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwarePs1Voltage3vCount'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwarePs1Voltage3vTime'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwarePs1Voltage5v'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwarePs1Voltage5vAlarm'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwarePs1Voltage5vCount'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwarePs1Voltage5vTime'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwarePs2Voltage3v'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwarePs2Voltage3vAlarm'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwarePs2Voltage3vCount'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwarePs2Voltage3vTime'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwarePs2Voltage5v'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwarePs2Voltage5vAlarm'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwarePs2Voltage5vCount'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwarePs2Voltage5vTime'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareBoardVoltage3v'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareBoardVoltage3vAlarm'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareBoardVoltage3vCount'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareBoardVoltage3vTime'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareBoardVoltage5v'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareBoardVoltage5vAlarm'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareBoardVoltage5vCount'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareBoardVoltage5vTime'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareCpuTemp'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareCpuTempAlarm'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareCpuTempCount'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareCpuTempTime'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareCageTemp'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareCageTempAlarm'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareCageTempCount'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareCageTempTime'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareFan1Rpm'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareFan1RpmAlarm'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareFan1RpmCount'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareFan1RpmTime'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareFan2Rpm'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareFan2RpmAlarm'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareFan2RpmCount'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareFan2RpmTime'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareFan3Rpm'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareFan3RpmAlarm'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareFan3RpmCount'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareFan3RpmTime'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwarePs1Type'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwarePs2Type'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareSlot1Card'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareSlot2Card'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareSlot3Card'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareSlot4Card'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareSlot1Operational'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareSlot2Operational'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareSlot3Operational'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareSlot4Operational'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareRamSize'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareChassis'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareCpuVoltageNominal'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareClientEthPrivSwitch'), ('ALTIGA-HARDWARE-STATS-MIB', 'alHardwareSerialNumber'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
altiga_hardware_stats_group = altigaHardwareStatsGroup.setStatus('current')
if mibBuilder.loadTexts:
altigaHardwareStatsGroup.setDescription('The objects for Hardware statistics.')
mibBuilder.exportSymbols('ALTIGA-HARDWARE-STATS-MIB', alHardwareBoardVoltage3vCount=alHardwareBoardVoltage3vCount, alHardwareFan2RpmTime=alHardwareFan2RpmTime, altigaHardwareStatsMibModule=altigaHardwareStatsMibModule, alHardwarePs2Voltage5vCount=alHardwarePs2Voltage5vCount, alHardwareSlot2Card=alHardwareSlot2Card, alHardwareFan3Rpm=alHardwareFan3Rpm, alHardwarePs1Voltage3vCount=alHardwarePs1Voltage3vCount, alHardwareFan2RpmAlarm=alHardwareFan2RpmAlarm, altigaHardwareStatsMibCompliance=altigaHardwareStatsMibCompliance, alHardwareCpuVoltageCount=alHardwareCpuVoltageCount, alHardwareSlot2Operational=alHardwareSlot2Operational, alHardwareFan3RpmAlarm=alHardwareFan3RpmAlarm, alHardwareBoardVoltage3v=alHardwareBoardVoltage3v, alHardwareCageTemp=alHardwareCageTemp, altigaHardwareStatsMibConformance=altigaHardwareStatsMibConformance, alHardwarePs2Voltage5v=alHardwarePs2Voltage5v, alHardwarePs1Voltage3vAlarm=alHardwarePs1Voltage3vAlarm, alHardwareBoardVoltage5v=alHardwareBoardVoltage5v, alHardwareBoardVoltage5vAlarm=alHardwareBoardVoltage5vAlarm, alStatsHardwareGlobal=alStatsHardwareGlobal, alHardwarePs1Voltage5vTime=alHardwarePs1Voltage5vTime, alHardwareCageTempCount=alHardwareCageTempCount, alHardwarePs2Voltage3vTime=alHardwarePs2Voltage3vTime, alHardwareCageTempAlarm=alHardwareCageTempAlarm, alHardwareFan1Rpm=alHardwareFan1Rpm, alHardwareFan1RpmTime=alHardwareFan1RpmTime, alHardwarePs2Type=alHardwarePs2Type, alHardwareSlot4Card=alHardwareSlot4Card, alHardwareCpuVoltageNominal=alHardwareCpuVoltageNominal, alHardwarePs1Voltage5vAlarm=alHardwarePs1Voltage5vAlarm, alHardwareFan3RpmCount=alHardwareFan3RpmCount, alHardwareSlot4Operational=alHardwareSlot4Operational, alHardwareCpuTemp=alHardwareCpuTemp, alHardwareCpuVoltage=alHardwareCpuVoltage, alHardwareSlot1Operational=alHardwareSlot1Operational, altigaHardwareStatsMibCompliances=altigaHardwareStatsMibCompliances, alHardwarePs1Type=alHardwarePs1Type, ConcentratorType=ConcentratorType, alHardwareFan1RpmCount=alHardwareFan1RpmCount, altigaHardwareStatsGroup=altigaHardwareStatsGroup, alHardwareCpuVoltageTime=alHardwareCpuVoltageTime, ConcentratorCard=ConcentratorCard, alHardwarePs2Voltage3vCount=alHardwarePs2Voltage3vCount, alHardwareCpuTempAlarm=alHardwareCpuTempAlarm, alHardwarePs1Voltage3v=alHardwarePs1Voltage3v, alHardwarePs2Voltage3v=alHardwarePs2Voltage3v, alHardwareBoardVoltage5vCount=alHardwareBoardVoltage5vCount, alHardwareFan1RpmAlarm=alHardwareFan1RpmAlarm, alHardwarePs1Voltage5vCount=alHardwarePs1Voltage5vCount, alHardwareBoardVoltage3vTime=alHardwareBoardVoltage3vTime, alHardwarePs1Voltage3vTime=alHardwarePs1Voltage3vTime, alHardwareFan3RpmTime=alHardwareFan3RpmTime, alHardwareBoardVoltage5vTime=alHardwareBoardVoltage5vTime, alHardwareSlot3Operational=alHardwareSlot3Operational, alHardwareCpuTempTime=alHardwareCpuTempTime, alHardwareRamSize=alHardwareRamSize, alHardwarePs2Voltage5vTime=alHardwarePs2Voltage5vTime, alHardwareBoardVoltage3vAlarm=alHardwareBoardVoltage3vAlarm, alHardwareCageTempTime=alHardwareCageTempTime, alHardwareSerialNumber=alHardwareSerialNumber, alHardwarePs2Voltage3vAlarm=alHardwarePs2Voltage3vAlarm, alHardwareCpuVoltageAlarm=alHardwareCpuVoltageAlarm, alHardwareClientEthPrivSwitch=alHardwareClientEthPrivSwitch, PYSNMP_MODULE_ID=altigaHardwareStatsMibModule, alHardwareSlot1Card=alHardwareSlot1Card, alHardwarePs1Voltage5v=alHardwarePs1Voltage5v, alHardwarePs2Voltage5vAlarm=alHardwarePs2Voltage5vAlarm, alHardwareFan2Rpm=alHardwareFan2Rpm, alHardwareChassis=alHardwareChassis, alHardwareSlot3Card=alHardwareSlot3Card, alHardwareCpuTempCount=alHardwareCpuTempCount, alHardwareFan2RpmCount=alHardwareFan2RpmCount) |
def Adj2GraphID(adj):
n = adj.shape[0]
GraphID = str(n)+"_"
binID = ''
for i in range(n):
for j in range(i+1,n):
binID += str(int(adj[i][j]))
GraphID += hex(int(binID,2)).split('x')[1]
return GraphID.upper()
def GraphID2Adj(GraphID):
n_str, hexID = GraphID.split("_")
n = int(n_str)
binID = "{:b}".format(int(hexID, 16))
binID = '0'*((n-1)*n//2 - len(binID)) + binID
adj = np.zeros([n,n])
pos = 0
for i in range(n):
for j in range(i+1,n):
adj[i][j] = adj[j][i] = int(binID[pos])
pos +=1
return adj
| def adj2_graph_id(adj):
n = adj.shape[0]
graph_id = str(n) + '_'
bin_id = ''
for i in range(n):
for j in range(i + 1, n):
bin_id += str(int(adj[i][j]))
graph_id += hex(int(binID, 2)).split('x')[1]
return GraphID.upper()
def graph_id2_adj(GraphID):
(n_str, hex_id) = GraphID.split('_')
n = int(n_str)
bin_id = '{:b}'.format(int(hexID, 16))
bin_id = '0' * ((n - 1) * n // 2 - len(binID)) + binID
adj = np.zeros([n, n])
pos = 0
for i in range(n):
for j in range(i + 1, n):
adj[i][j] = adj[j][i] = int(binID[pos])
pos += 1
return adj |
#-*- coding: utf-8 -*-
class INSERT(object):
def __init__(self, schema, target):
self._sql = u"INSERT INTO {}.{}".format(
schema, target)
def VALUES(self, fields):
values = ", ".join(["%(" + field + ")s" for field in fields])
self._sql += "({}) values({})".format(", ".join(fields), values)
self._sql += " returning id"
def __str__(self):
return self._sql
@property
def sql(self):
return self.__str__()
| class Insert(object):
def __init__(self, schema, target):
self._sql = u'INSERT INTO {}.{}'.format(schema, target)
def values(self, fields):
values = ', '.join(['%(' + field + ')s' for field in fields])
self._sql += '({}) values({})'.format(', '.join(fields), values)
self._sql += ' returning id'
def __str__(self):
return self._sql
@property
def sql(self):
return self.__str__() |
def calculateEMA(period, data):
returnData = {}
emaList = []
key = 'ema' + str(period)
if data:
historicalEma = data[0]
e = 2/(period + 1)
for i in range(len(data)):
ema = (data[i] - historicalEma) * e + historicalEma
historicalEma = ema
emaList.append(ema)
returnData.update({key : emaList})
else:
returnData.update({key:[]})
return returnData
def calculateNBFilter(period=4, fields=[], data ={}):
pass
| def calculate_ema(period, data):
return_data = {}
ema_list = []
key = 'ema' + str(period)
if data:
historical_ema = data[0]
e = 2 / (period + 1)
for i in range(len(data)):
ema = (data[i] - historicalEma) * e + historicalEma
historical_ema = ema
emaList.append(ema)
returnData.update({key: emaList})
else:
returnData.update({key: []})
return returnData
def calculate_nb_filter(period=4, fields=[], data={}):
pass |
def test():
# Here we can either check objects created in the solution code, or the
# string value of the solution, available as __solution__. A helper for
# printing formatted messages is available as __msg__. See the testTemplate
# in the meta.json for details.
# If an assertion fails, the message will be displayed
assert "pivot_table" in __solution__, "Make sure you are using the pivot_table function."
msg = "The tidied_lego dataframe contains the incorrect columns. Are you using the correct index column when pivoting? \
\nExpected ['set_num', 'name', 'year', 'num_parts', 'theme_id'], but got {0}".format(
list(tidied_lego.columns))
assert sorted(list(tidied_lego.columns)) == sorted(['set_num', 'name', 'year', 'num_parts', 'theme_id']), msg
assert "reset_index" in __solution__, "Are you resetting the index using .reset_index()?"
assert "groupby" in __solution__, "Are you using the groupby function?"
assert "year" in __solution__, "Are you grouping by year?"
assert year_parts_mean.num_parts.sum() == 8093.0, "The mean values are incorrect. Are you taking the mean after grouping by year?"
__msg__.good("Nice work, well done!")
| def test():
assert 'pivot_table' in __solution__, 'Make sure you are using the pivot_table function.'
msg = "The tidied_lego dataframe contains the incorrect columns. Are you using the correct index column when pivoting? \nExpected ['set_num', 'name', 'year', 'num_parts', 'theme_id'], but got {0}".format(list(tidied_lego.columns))
assert sorted(list(tidied_lego.columns)) == sorted(['set_num', 'name', 'year', 'num_parts', 'theme_id']), msg
assert 'reset_index' in __solution__, 'Are you resetting the index using .reset_index()?'
assert 'groupby' in __solution__, 'Are you using the groupby function?'
assert 'year' in __solution__, 'Are you grouping by year?'
assert year_parts_mean.num_parts.sum() == 8093.0, 'The mean values are incorrect. Are you taking the mean after grouping by year?'
__msg__.good('Nice work, well done!') |
############################################################
#
# uploadhaddocks
# Copyright (C) 2017, Richard Cook
# Released under MIT License
# https://github.com/rcook/upload-haddocks
#
############################################################
__project_name__ = "upload-haddocks"
__version__ = "0.5"
__description__ = "Fix up Haskell documentation and upload it to Hackage"
| __project_name__ = 'upload-haddocks'
__version__ = '0.5'
__description__ = 'Fix up Haskell documentation and upload it to Hackage' |
# standard libraries
pass
# third party libraries
pass
# first party libraries
pass
alphanumeric = 'abcdefghijklmnopqrstuvwxyz' \
'ABCDEFGHIJKLMNOPQRSTUVWXYZ' \
'123456789'
# alphanumerics unlikely to be mistaken for each other
legible = 'abcdefghijkmnopqrstuvwxyz' \
'ABCDEFGHJKLMNPQRSTUVWXYZ' \
'23456789'
| pass
pass
pass
alphanumeric = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ123456789'
legible = 'abcdefghijkmnopqrstuvwxyzABCDEFGHJKLMNPQRSTUVWXYZ23456789' |
self.description = "Upgrade packages with various reasons"
lp1 = pmpkg("pkg1")
lp1.reason = 0
lp2 = pmpkg("pkg2")
lp2.reason = 1
for p in lp1, lp2:
self.addpkg2db("local", p)
p1 = pmpkg("pkg1", "1.0-2")
p2 = pmpkg("pkg2", "1.0-2")
for p in p1, p2:
self.addpkg(p)
self.args = "-U %s" % " ".join([p.filename() for p in (p1, p2)])
self.addrule("PACMAN_RETCODE=0")
self.addrule("PKG_REASON=pkg1|0")
self.addrule("PKG_REASON=pkg2|1")
| self.description = 'Upgrade packages with various reasons'
lp1 = pmpkg('pkg1')
lp1.reason = 0
lp2 = pmpkg('pkg2')
lp2.reason = 1
for p in (lp1, lp2):
self.addpkg2db('local', p)
p1 = pmpkg('pkg1', '1.0-2')
p2 = pmpkg('pkg2', '1.0-2')
for p in (p1, p2):
self.addpkg(p)
self.args = '-U %s' % ' '.join([p.filename() for p in (p1, p2)])
self.addrule('PACMAN_RETCODE=0')
self.addrule('PKG_REASON=pkg1|0')
self.addrule('PKG_REASON=pkg2|1') |
class Interval:
def __init__(self, start=0, end=0):
self.start = start
self.end = end
| class Interval:
def __init__(self, start=0, end=0):
self.start = start
self.end = end |
PATH_TRAIN = "../../data/train.csv"
PATH_VALID = "../../data/valid.csv"
PICKLES_PATH = "./pickles"
TRAIN = "../../data/train.tsv"
TEST = "../../data/test.tsv"
DEV = "../../data/dev.tsv"
| path_train = '../../data/train.csv'
path_valid = '../../data/valid.csv'
pickles_path = './pickles'
train = '../../data/train.tsv'
test = '../../data/test.tsv'
dev = '../../data/dev.tsv' |
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
def deps(repo_mapping = {}):
if "com_github_nodejs_http_parser" not in native.existing_rules():
http_archive(
name = "com_github_nodejs_http_parser",
# This commit includes fix for
# https://github.com/nodejs/http-parser/issues/517 which
# allows (opt-in) to serve requests with both
# Content-Legth and Transfer-Encoding: chunked headers
# set.
urls = ["https://github.com/nodejs/http-parser/archive/4f15b7d510dc7c6361a26a7c6d2f7c3a17f8d878.tar.gz"],
sha256 = "6a12896313ce1ca630cf516a0ee43a79b5f13f5a5d8143f56560ac0b21c98fac",
strip_prefix = "http-parser-4f15b7d510dc7c6361a26a7c6d2f7c3a17f8d878",
repo_mapping = repo_mapping,
build_file = "@com_github_3rdparty_bazel_rules_http_parser//:BUILD.bazel",
)
| load('@bazel_tools//tools/build_defs/repo:http.bzl', 'http_archive')
def deps(repo_mapping={}):
if 'com_github_nodejs_http_parser' not in native.existing_rules():
http_archive(name='com_github_nodejs_http_parser', urls=['https://github.com/nodejs/http-parser/archive/4f15b7d510dc7c6361a26a7c6d2f7c3a17f8d878.tar.gz'], sha256='6a12896313ce1ca630cf516a0ee43a79b5f13f5a5d8143f56560ac0b21c98fac', strip_prefix='http-parser-4f15b7d510dc7c6361a26a7c6d2f7c3a17f8d878', repo_mapping=repo_mapping, build_file='@com_github_3rdparty_bazel_rules_http_parser//:BUILD.bazel') |
def BaseHTTPRequestHandler(*args, **kwargs): pass
def Camera(*args, **kwargs): pass
def GSprint(*args, **kwargs): pass
def GSversion(*args, **kwargs): pass
def GW(*args, **kwargs): pass
def GlowWidget(*args, **kwargs): pass
def HTTPServer(*args, **kwargs): pass
def INTERACT_PERIOD(*args, **kwargs): pass
def MAX_RENDERS(*args, **kwargs): pass
def MIN_RENDERS(*args, **kwargs): pass
def MISC(*args, **kwargs): pass
def Mouse(*args, **kwargs): pass
def RackOutline(*args, **kwargs): pass
def RateKeeper(*args, **kwargs): pass
def ToothOutline(*args, **kwargs): pass
def USER_FRACTION(*args, **kwargs): pass
def WSserver(*args, **kwargs): pass
def WebSocketServerFactory(*args, **kwargs): pass
def WebSocketServerProtocol(*args, **kwargs): pass
def absolute_import(*args, **kwargs): pass
def acos(*args, **kwargs): pass
def acosh(*args, **kwargs): pass
def addpos(*args, **kwargs): pass
def adjust_axis(*args, **kwargs): pass
def adjust_up(*args, **kwargs): pass
def arange(*args, **kwargs): pass
def arrow(*args, **kwargs): pass
def asin(*args, **kwargs): pass
def asinh(*args, **kwargs): pass
def asyncio(*args, **kwargs): pass
def atan(*args, **kwargs): pass
def atan2(*args, **kwargs): pass
def atanh(*args, **kwargs): pass
def attach_arrow(*args, **kwargs): pass
def attach_trail(*args, **kwargs): pass
def baseObj(*args, **kwargs): pass
def box(*args, **kwargs): pass
def bumpmaps(*args, **kwargs): pass
def button(*args, **kwargs): pass
def canvas(*args, **kwargs): pass
def ceil(*args, **kwargs): pass
def checkbox(*args, **kwargs): pass
def clock(*args, **kwargs): pass
def color(*args, **kwargs): pass
def colorsys(*args, **kwargs): pass
def combin(*args, **kwargs): pass
def comp(*args, **kwargs): pass
def compound(*args, **kwargs): pass
def cone(*args, **kwargs): pass
def controls(*args, **kwargs): pass
def convert(*args, **kwargs): pass
def copy(*args, **kwargs): pass
def copysign(*args, **kwargs): pass
def cos(*args, **kwargs): pass
def cosh(*args, **kwargs): pass
def cross(*args, **kwargs): pass
def curve(*args, **kwargs): pass
def curveMethods(*args, **kwargs): pass
def cylinder(*args, **kwargs): pass
def cyvector(*args, **kwargs): pass
def degrees(*args, **kwargs): pass
def diff_angle(*args, **kwargs): pass
def distant_light(*args, **kwargs): pass
def division(*args, **kwargs): pass
def dot(*args, **kwargs): pass
def e(*args, **kwargs): pass
def ellipsoid(*args, **kwargs): pass
def erf(*args, **kwargs): pass
def erfc(*args, **kwargs): pass
def event_return(*args, **kwargs): pass
def exp(*args, **kwargs): pass
def expm1(*args, **kwargs): pass
def extrusion(*args, **kwargs): pass
def fabs(*args, **kwargs): pass
def faces(*args, **kwargs): pass
def factorial(*args, **kwargs): pass
def fd(*args, **kwargs): pass
def find_free_port(*args, **kwargs): pass
def floor(*args, **kwargs): pass
def fmod(*args, **kwargs): pass
def frame(*args, **kwargs): pass
def frexp(*args, **kwargs): pass
def fsum(*args, **kwargs): pass
def gamma(*args, **kwargs): pass
def gcd(*args, **kwargs): pass
def gcurve(*args, **kwargs): pass
def gdots(*args, **kwargs): pass
def ghbars(*args, **kwargs): pass
def glowcomm(*args, **kwargs): pass
def gobj(*args, **kwargs): pass
def graph(*args, **kwargs): pass
def gs_version(*args, **kwargs): pass
def gvbars(*args, **kwargs): pass
def hat(*args, **kwargs): pass
def helix(*args, **kwargs): pass
def httpserving(*args, **kwargs): pass
def hypot(*args, **kwargs): pass
def inf(*args, **kwargs): pass
def inspect(*args, **kwargs): pass
def isclose(*args, **kwargs): pass
def isfinite(*args, **kwargs): pass
def isinf(*args, **kwargs): pass
def isnan(*args, **kwargs): pass
def js(*args, **kwargs): pass
def json(*args, **kwargs): pass
def label(*args, **kwargs): pass
def ldexp(*args, **kwargs): pass
def lgamma(*args, **kwargs): pass
def list_to_vec(*args, **kwargs): pass
def local_light(*args, **kwargs): pass
def log(*args, **kwargs): pass
def log10(*args, **kwargs): pass
def log1p(*args, **kwargs): pass
def log2(*args, **kwargs): pass
def long(*args, **kwargs): pass
def mag(*args, **kwargs): pass
def mag2(*args, **kwargs): pass
def menu(*args, **kwargs): pass
def meta_canvas(*args, **kwargs): pass
def modf(*args, **kwargs): pass
def nan(*args, **kwargs): pass
def no_notebook(*args, **kwargs): pass
def norm(*args, **kwargs): pass
def npdefault(*args, **kwargs): pass
def object_rotate(*args, **kwargs): pass
def os(*args, **kwargs): pass
def path_object(*args, **kwargs): pass
def paths(*args, **kwargs): pass
def pi(*args, **kwargs): pass
def platform(*args, **kwargs): pass
def points(*args, **kwargs): pass
def pow(*args, **kwargs): pass
def print_anchor(*args, **kwargs): pass
def print_function(*args, **kwargs): pass
def print_to_string(*args, **kwargs): pass
def proj(*args, **kwargs): pass
def pyramid(*args, **kwargs): pass
def quad(*args, **kwargs): pass
def radians(*args, **kwargs): pass
def radio(*args, **kwargs): pass
def random(*args, **kwargs): pass
def rate(*args, **kwargs): pass
def rate_control(*args, **kwargs): pass
def ring(*args, **kwargs): pass
def rotate(*args, **kwargs): pass
def rotatecp(*args, **kwargs): pass
def roundc(*args, **kwargs): pass
def scalecp(*args, **kwargs): pass
def scene(*args, **kwargs): pass
def serveHTTP(*args, **kwargs): pass
def shape_object(*args, **kwargs): pass
def shapes(*args, **kwargs): pass
def shapespaths(*args, **kwargs): pass
def signature(*args, **kwargs): pass
def simulateDelay(*args, **kwargs): pass
def sin(*args, **kwargs): pass
def sinh(*args, **kwargs): pass
def sleep(*args, **kwargs): pass
def slider(*args, **kwargs): pass
def socket(*args, **kwargs): pass
def sphere(*args, **kwargs): pass
def sqrt(*args, **kwargs): pass
def standardAttributes(*args, **kwargs): pass
def sys(*args, **kwargs): pass
def tan(*args, **kwargs): pass
def tanh(*args, **kwargs): pass
def tau(*args, **kwargs): pass
def text(*args, **kwargs): pass
def textures(*args, **kwargs): pass
def threading(*args, **kwargs): pass
def time(*args, **kwargs): pass
def triangle(*args, **kwargs): pass
def trunc(*args, **kwargs): pass
def v(*args, **kwargs): pass
def vec(*args, **kwargs): pass
def vector(*args, **kwargs): pass
def version(*args, **kwargs): pass
def vertex(*args, **kwargs): pass
def vpython(*args, **kwargs): pass
def websocketserving(*args, **kwargs): pass
def wtext(*args, **kwargs): pass
color.black = color.blue = color.cyan = color.gray = color.green = color.magenta = color.orange = color.red = color.white = color.yellow = 0
| def base_http_request_handler(*args, **kwargs):
pass
def camera(*args, **kwargs):
pass
def g_sprint(*args, **kwargs):
pass
def g_sversion(*args, **kwargs):
pass
def gw(*args, **kwargs):
pass
def glow_widget(*args, **kwargs):
pass
def http_server(*args, **kwargs):
pass
def interact_period(*args, **kwargs):
pass
def max_renders(*args, **kwargs):
pass
def min_renders(*args, **kwargs):
pass
def misc(*args, **kwargs):
pass
def mouse(*args, **kwargs):
pass
def rack_outline(*args, **kwargs):
pass
def rate_keeper(*args, **kwargs):
pass
def tooth_outline(*args, **kwargs):
pass
def user_fraction(*args, **kwargs):
pass
def w_sserver(*args, **kwargs):
pass
def web_socket_server_factory(*args, **kwargs):
pass
def web_socket_server_protocol(*args, **kwargs):
pass
def absolute_import(*args, **kwargs):
pass
def acos(*args, **kwargs):
pass
def acosh(*args, **kwargs):
pass
def addpos(*args, **kwargs):
pass
def adjust_axis(*args, **kwargs):
pass
def adjust_up(*args, **kwargs):
pass
def arange(*args, **kwargs):
pass
def arrow(*args, **kwargs):
pass
def asin(*args, **kwargs):
pass
def asinh(*args, **kwargs):
pass
def asyncio(*args, **kwargs):
pass
def atan(*args, **kwargs):
pass
def atan2(*args, **kwargs):
pass
def atanh(*args, **kwargs):
pass
def attach_arrow(*args, **kwargs):
pass
def attach_trail(*args, **kwargs):
pass
def base_obj(*args, **kwargs):
pass
def box(*args, **kwargs):
pass
def bumpmaps(*args, **kwargs):
pass
def button(*args, **kwargs):
pass
def canvas(*args, **kwargs):
pass
def ceil(*args, **kwargs):
pass
def checkbox(*args, **kwargs):
pass
def clock(*args, **kwargs):
pass
def color(*args, **kwargs):
pass
def colorsys(*args, **kwargs):
pass
def combin(*args, **kwargs):
pass
def comp(*args, **kwargs):
pass
def compound(*args, **kwargs):
pass
def cone(*args, **kwargs):
pass
def controls(*args, **kwargs):
pass
def convert(*args, **kwargs):
pass
def copy(*args, **kwargs):
pass
def copysign(*args, **kwargs):
pass
def cos(*args, **kwargs):
pass
def cosh(*args, **kwargs):
pass
def cross(*args, **kwargs):
pass
def curve(*args, **kwargs):
pass
def curve_methods(*args, **kwargs):
pass
def cylinder(*args, **kwargs):
pass
def cyvector(*args, **kwargs):
pass
def degrees(*args, **kwargs):
pass
def diff_angle(*args, **kwargs):
pass
def distant_light(*args, **kwargs):
pass
def division(*args, **kwargs):
pass
def dot(*args, **kwargs):
pass
def e(*args, **kwargs):
pass
def ellipsoid(*args, **kwargs):
pass
def erf(*args, **kwargs):
pass
def erfc(*args, **kwargs):
pass
def event_return(*args, **kwargs):
pass
def exp(*args, **kwargs):
pass
def expm1(*args, **kwargs):
pass
def extrusion(*args, **kwargs):
pass
def fabs(*args, **kwargs):
pass
def faces(*args, **kwargs):
pass
def factorial(*args, **kwargs):
pass
def fd(*args, **kwargs):
pass
def find_free_port(*args, **kwargs):
pass
def floor(*args, **kwargs):
pass
def fmod(*args, **kwargs):
pass
def frame(*args, **kwargs):
pass
def frexp(*args, **kwargs):
pass
def fsum(*args, **kwargs):
pass
def gamma(*args, **kwargs):
pass
def gcd(*args, **kwargs):
pass
def gcurve(*args, **kwargs):
pass
def gdots(*args, **kwargs):
pass
def ghbars(*args, **kwargs):
pass
def glowcomm(*args, **kwargs):
pass
def gobj(*args, **kwargs):
pass
def graph(*args, **kwargs):
pass
def gs_version(*args, **kwargs):
pass
def gvbars(*args, **kwargs):
pass
def hat(*args, **kwargs):
pass
def helix(*args, **kwargs):
pass
def httpserving(*args, **kwargs):
pass
def hypot(*args, **kwargs):
pass
def inf(*args, **kwargs):
pass
def inspect(*args, **kwargs):
pass
def isclose(*args, **kwargs):
pass
def isfinite(*args, **kwargs):
pass
def isinf(*args, **kwargs):
pass
def isnan(*args, **kwargs):
pass
def js(*args, **kwargs):
pass
def json(*args, **kwargs):
pass
def label(*args, **kwargs):
pass
def ldexp(*args, **kwargs):
pass
def lgamma(*args, **kwargs):
pass
def list_to_vec(*args, **kwargs):
pass
def local_light(*args, **kwargs):
pass
def log(*args, **kwargs):
pass
def log10(*args, **kwargs):
pass
def log1p(*args, **kwargs):
pass
def log2(*args, **kwargs):
pass
def long(*args, **kwargs):
pass
def mag(*args, **kwargs):
pass
def mag2(*args, **kwargs):
pass
def menu(*args, **kwargs):
pass
def meta_canvas(*args, **kwargs):
pass
def modf(*args, **kwargs):
pass
def nan(*args, **kwargs):
pass
def no_notebook(*args, **kwargs):
pass
def norm(*args, **kwargs):
pass
def npdefault(*args, **kwargs):
pass
def object_rotate(*args, **kwargs):
pass
def os(*args, **kwargs):
pass
def path_object(*args, **kwargs):
pass
def paths(*args, **kwargs):
pass
def pi(*args, **kwargs):
pass
def platform(*args, **kwargs):
pass
def points(*args, **kwargs):
pass
def pow(*args, **kwargs):
pass
def print_anchor(*args, **kwargs):
pass
def print_function(*args, **kwargs):
pass
def print_to_string(*args, **kwargs):
pass
def proj(*args, **kwargs):
pass
def pyramid(*args, **kwargs):
pass
def quad(*args, **kwargs):
pass
def radians(*args, **kwargs):
pass
def radio(*args, **kwargs):
pass
def random(*args, **kwargs):
pass
def rate(*args, **kwargs):
pass
def rate_control(*args, **kwargs):
pass
def ring(*args, **kwargs):
pass
def rotate(*args, **kwargs):
pass
def rotatecp(*args, **kwargs):
pass
def roundc(*args, **kwargs):
pass
def scalecp(*args, **kwargs):
pass
def scene(*args, **kwargs):
pass
def serve_http(*args, **kwargs):
pass
def shape_object(*args, **kwargs):
pass
def shapes(*args, **kwargs):
pass
def shapespaths(*args, **kwargs):
pass
def signature(*args, **kwargs):
pass
def simulate_delay(*args, **kwargs):
pass
def sin(*args, **kwargs):
pass
def sinh(*args, **kwargs):
pass
def sleep(*args, **kwargs):
pass
def slider(*args, **kwargs):
pass
def socket(*args, **kwargs):
pass
def sphere(*args, **kwargs):
pass
def sqrt(*args, **kwargs):
pass
def standard_attributes(*args, **kwargs):
pass
def sys(*args, **kwargs):
pass
def tan(*args, **kwargs):
pass
def tanh(*args, **kwargs):
pass
def tau(*args, **kwargs):
pass
def text(*args, **kwargs):
pass
def textures(*args, **kwargs):
pass
def threading(*args, **kwargs):
pass
def time(*args, **kwargs):
pass
def triangle(*args, **kwargs):
pass
def trunc(*args, **kwargs):
pass
def v(*args, **kwargs):
pass
def vec(*args, **kwargs):
pass
def vector(*args, **kwargs):
pass
def version(*args, **kwargs):
pass
def vertex(*args, **kwargs):
pass
def vpython(*args, **kwargs):
pass
def websocketserving(*args, **kwargs):
pass
def wtext(*args, **kwargs):
pass
color.black = color.blue = color.cyan = color.gray = color.green = color.magenta = color.orange = color.red = color.white = color.yellow = 0 |
spreadsheet = [[5806,6444,1281,38,267,1835,223,4912,5995,230,4395,2986,6048,4719,216,1201],
[74,127,226,84,174,280,94,159,198,305,124,106,205,99,177,294],
[1332,52,54,655,56,170,843,707,1273,1163,89,23,43,1300,1383,1229],
[5653,236,1944,3807,5356,246,222,1999,4872,206,5265,5397,5220,5538,286,917],
[3512,3132,2826,3664,2814,549,3408,3384,142,120,160,114,1395,2074,1816,2357],
[100,2000,112,103,2122,113,92,522,1650,929,1281,2286,2259,1068,1089,651],
[646,490,297,60,424,234,48,491,245,523,229,189,174,627,441,598],
[2321,555,2413,2378,157,27,194,2512,117,140,2287,277,2635,1374,1496,1698],
[101,1177,104,89,542,2033,1724,1197,474,1041,1803,770,87,1869,1183,553],
[1393,92,105,1395,1000,85,391,1360,1529,1367,1063,688,642,102,999,638],
[4627,223,188,5529,2406,4980,2384,2024,4610,279,249,2331,4660,4350,3264,242],
[769,779,502,75,1105,53,55,931,1056,1195,65,292,1234,1164,678,1032],
[2554,75,4406,484,2285,226,5666,245,4972,3739,5185,1543,230,236,3621,5387],
[826,4028,4274,163,5303,4610,145,5779,157,4994,5053,186,5060,3082,2186,4882],
[588,345,67,286,743,54,802,776,29,44,107,63,303,372,41,810],
[128,2088,3422,111,3312,740,3024,1946,920,131,112,477,3386,2392,1108,2741]]
acc=0
# for i in range(len(spreadsheet)):
# min_value = min(spreadsheet[i])
# max_value = max(spreadsheet[i])
# acc+=max_value - min_value
# print(acc)
def sum_of_divisors(numbers):
length = len(numbers)
for i in range(length):
for j in range(length):
if i != j:
if numbers[i] > numbers[j] and numbers[i] % numbers[j] ==0:
return int(numbers[i]/numbers[j])
acc=0
for val in spreadsheet:
acc+=sum_of_divisors(val)
print(acc) | spreadsheet = [[5806, 6444, 1281, 38, 267, 1835, 223, 4912, 5995, 230, 4395, 2986, 6048, 4719, 216, 1201], [74, 127, 226, 84, 174, 280, 94, 159, 198, 305, 124, 106, 205, 99, 177, 294], [1332, 52, 54, 655, 56, 170, 843, 707, 1273, 1163, 89, 23, 43, 1300, 1383, 1229], [5653, 236, 1944, 3807, 5356, 246, 222, 1999, 4872, 206, 5265, 5397, 5220, 5538, 286, 917], [3512, 3132, 2826, 3664, 2814, 549, 3408, 3384, 142, 120, 160, 114, 1395, 2074, 1816, 2357], [100, 2000, 112, 103, 2122, 113, 92, 522, 1650, 929, 1281, 2286, 2259, 1068, 1089, 651], [646, 490, 297, 60, 424, 234, 48, 491, 245, 523, 229, 189, 174, 627, 441, 598], [2321, 555, 2413, 2378, 157, 27, 194, 2512, 117, 140, 2287, 277, 2635, 1374, 1496, 1698], [101, 1177, 104, 89, 542, 2033, 1724, 1197, 474, 1041, 1803, 770, 87, 1869, 1183, 553], [1393, 92, 105, 1395, 1000, 85, 391, 1360, 1529, 1367, 1063, 688, 642, 102, 999, 638], [4627, 223, 188, 5529, 2406, 4980, 2384, 2024, 4610, 279, 249, 2331, 4660, 4350, 3264, 242], [769, 779, 502, 75, 1105, 53, 55, 931, 1056, 1195, 65, 292, 1234, 1164, 678, 1032], [2554, 75, 4406, 484, 2285, 226, 5666, 245, 4972, 3739, 5185, 1543, 230, 236, 3621, 5387], [826, 4028, 4274, 163, 5303, 4610, 145, 5779, 157, 4994, 5053, 186, 5060, 3082, 2186, 4882], [588, 345, 67, 286, 743, 54, 802, 776, 29, 44, 107, 63, 303, 372, 41, 810], [128, 2088, 3422, 111, 3312, 740, 3024, 1946, 920, 131, 112, 477, 3386, 2392, 1108, 2741]]
acc = 0
def sum_of_divisors(numbers):
length = len(numbers)
for i in range(length):
for j in range(length):
if i != j:
if numbers[i] > numbers[j] and numbers[i] % numbers[j] == 0:
return int(numbers[i] / numbers[j])
acc = 0
for val in spreadsheet:
acc += sum_of_divisors(val)
print(acc) |
a = [0]
for i in range(1000000):
a[0] = i
| a = [0]
for i in range(1000000):
a[0] = i |
pkgname = "nasm"
pkgver = "2.15.05"
pkgrel = 0
build_style = "gnu_configure"
make_cmd = "gmake"
make_dir = "."
make_check_target = "test"
hostmakedepends = ["gmake"]
checkdepends = ["perl"]
pkgdesc = "80x86 assembler designed for portability and modularity"
maintainer = "q66 <[email protected]>"
license = "BSD-2-Clause"
url = "https://www.nasm.us"
source = f"{url}/pub/{pkgname}/releasebuilds/{pkgver}/{pkgname}-{pkgver}.tar.xz"
sha256 = "3caf6729c1073bf96629b57cee31eeb54f4f8129b01902c73428836550b30a3f"
def post_install(self):
self.install_license("LICENSE")
| pkgname = 'nasm'
pkgver = '2.15.05'
pkgrel = 0
build_style = 'gnu_configure'
make_cmd = 'gmake'
make_dir = '.'
make_check_target = 'test'
hostmakedepends = ['gmake']
checkdepends = ['perl']
pkgdesc = '80x86 assembler designed for portability and modularity'
maintainer = 'q66 <[email protected]>'
license = 'BSD-2-Clause'
url = 'https://www.nasm.us'
source = f'{url}/pub/{pkgname}/releasebuilds/{pkgver}/{pkgname}-{pkgver}.tar.xz'
sha256 = '3caf6729c1073bf96629b57cee31eeb54f4f8129b01902c73428836550b30a3f'
def post_install(self):
self.install_license('LICENSE') |
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
class Solution:
def mergeTwoLists(self, list1: Optional[ListNode], list2: Optional[ListNode]) -> Optional[ListNode]:
l=[]
l1=list1
l2=list2
while l1:
l.append(l1.val)
l1=l1.next
while l2:
l.append(l2.val)
l2=l2.next
l.sort()
oplist=ListNode()
lfin=oplist
for i in l:
lfin.next=ListNode(i)
lfin=lfin.next
return oplist.next | class Solution:
def merge_two_lists(self, list1: Optional[ListNode], list2: Optional[ListNode]) -> Optional[ListNode]:
l = []
l1 = list1
l2 = list2
while l1:
l.append(l1.val)
l1 = l1.next
while l2:
l.append(l2.val)
l2 = l2.next
l.sort()
oplist = list_node()
lfin = oplist
for i in l:
lfin.next = list_node(i)
lfin = lfin.next
return oplist.next |
# coding: utf-8
n = int(input())
sta = [i for i in ''.join(input().split()).split('0') if i != '']
ans = 0
for i in sta:
ans += 2+len(i)-1
if ans != 0:
print(ans-1)
else:
print(0)
| n = int(input())
sta = [i for i in ''.join(input().split()).split('0') if i != '']
ans = 0
for i in sta:
ans += 2 + len(i) - 1
if ans != 0:
print(ans - 1)
else:
print(0) |
#Question Link
#https://practice.geeksforgeeks.org/problems/find-pair-given-difference/0
for _ in range(t):
L,N = map(int,input().split())
arr = list(map(int,input().split()))
arr.sort()
flag = -1
i =0
j = L-1
for i in range(len(arr)):
for j in range(i+1,len(arr)):
if arr[j] - arr[i] == N:
flag = 1
break
print(flag)
| for _ in range(t):
(l, n) = map(int, input().split())
arr = list(map(int, input().split()))
arr.sort()
flag = -1
i = 0
j = L - 1
for i in range(len(arr)):
for j in range(i + 1, len(arr)):
if arr[j] - arr[i] == N:
flag = 1
break
print(flag) |
'''
https://practice.geeksforgeeks.org/problems/sort-an-array-of-0s-1s-and-2s/0
'''
def sort_z_o_t(A):
count = [0 for i in range(3)]
for i in A:
count[i] += 1
aIdx = 0
for i, n in enumerate(count):
while n > 0:
A[aIdx] = i
n -= 1
aIdx += 1
if __name__ == '__main__':
A = [0, 2, 1, 2, 0]
sort_z_o_t(A)
print(A) | """
https://practice.geeksforgeeks.org/problems/sort-an-array-of-0s-1s-and-2s/0
"""
def sort_z_o_t(A):
count = [0 for i in range(3)]
for i in A:
count[i] += 1
a_idx = 0
for (i, n) in enumerate(count):
while n > 0:
A[aIdx] = i
n -= 1
a_idx += 1
if __name__ == '__main__':
a = [0, 2, 1, 2, 0]
sort_z_o_t(A)
print(A) |
class Algorithm:
def __init__(self, np, ic, h, force, params):
self.np = np
self.h = h
self.sq2h = np.sqrt(2 * h)
self.sqh2 = np.sqrt(h / 2)
self.h2 = h / 2
self.force = force
self.acc = 0
fres = self.force(ic)
self.v, self.f, self.ff = (
fres.get("llh"),
fres.get("grad"),
fres.get("grad_data"),
)
self.p = np.random.randn(*ic.shape)
self.xi = np.random.randn(1)
def clear(self, q):
self.acc = 0
fres = self.force(q)
self.v, self.f, self.ff = (
fres.get("llh"),
fres.get("grad"),
fres.get("grad_data"),
)
pass
def step(self, q):
pass
| class Algorithm:
def __init__(self, np, ic, h, force, params):
self.np = np
self.h = h
self.sq2h = np.sqrt(2 * h)
self.sqh2 = np.sqrt(h / 2)
self.h2 = h / 2
self.force = force
self.acc = 0
fres = self.force(ic)
(self.v, self.f, self.ff) = (fres.get('llh'), fres.get('grad'), fres.get('grad_data'))
self.p = np.random.randn(*ic.shape)
self.xi = np.random.randn(1)
def clear(self, q):
self.acc = 0
fres = self.force(q)
(self.v, self.f, self.ff) = (fres.get('llh'), fres.get('grad'), fres.get('grad_data'))
pass
def step(self, q):
pass |
expected_output = {
'type': {
'BYTE': {
'allocated': 7045122,
'allocations': 737743,
'frees': 734750,
'requested': 6877514,
},
'BYTE*': {
'allocated': 29128,
'allocations': 345,
'frees': 309,
'requested': 27112,
},
'PArray': {
'allocated': 0,
'allocations': 180,
'frees': 180,
'requested': 0,
},
'Summary': {
'allocated': 7969955,
'allocations': 762405,
'frees': 759097,
'requested': 7784707,
},
'_btrace_ctx_global_': {
'allocated': 7864,
'allocations': 26,
'frees': 7,
'requested': 6800,
},
'_btrace_module_*': {
'allocated': 4389,
'allocations': 66,
'frees': 0,
'requested': 693,
},
'_dns_resolver_ctxt': {
'allocated': 128,
'allocations': 1,
'frees': 0,
'requested': 72,
},
'bipc_channel_': {
'allocated': 136128,
'allocations': 412,
'frees': 404,
'requested': 135680,
},
'bipc_rx_stream_': {
'allocated': 459328,
'allocations': 412,
'frees': 404,
'requested': 458880,
},
'brand_context_s': {
'allocated': 0,
'allocations': 9,
'frees': 9,
'requested': 0,
},
'chasfs_ctx_int_': {
'allocated': 12576,
'allocations': 6,
'frees': 3,
'requested': 12408,
},
'confd_cs_node**': {
'allocated': 0,
'allocations': 84,
'frees': 84,
'requested': 0,
},
'confd_event_node': {
'allocated': 0,
'allocations': 246,
'frees': 246,
'requested': 0,
},
'confd_hkeypath': {
'allocated': 0,
'allocations': 129,
'frees': 129,
'requested': 0,
},
'evContext_p': {
'allocated': 12640,
'allocations': 1,
'frees': 0,
'requested': 12584,
},
'file_alloc_handle_s': {
'allocated': 1120,
'allocations': 14,
'frees': 0,
'requested': 336,
},
'file_info': {
'allocated': 71536,
'allocations': 34,
'frees': 0,
'requested': 69632,
},
'filter_key_s': {
'allocated': 0,
'allocations': 3,
'frees': 3,
'requested': 0,
},
'green_args_s': {
'allocated': 0,
'allocations': 284,
'frees': 284,
'requested': 0,
},
'green_assist_be_defer_': {
'allocated': 0,
'allocations': 3,
'frees': 3,
'requested': 0,
},
'green_subscribe_tblcur': {
'allocated': 0,
'allocations': 3,
'frees': 3,
'requested': 0,
},
'green_subscribe_toc_tb': {
'allocated': 104,
'allocations': 1,
'frees': 0,
'requested': 48,
},
'hash_table_s': {
'allocated': 1664,
'allocations': 16,
'frees': 0,
'requested': 768,
},
'hashtable': {
'allocated': 96,
'allocations': 1,
'frees': 0,
'requested': 40,
},
'int32': {
'allocated': 0,
'allocations': 1,
'frees': 1,
'requested': 0,
},
'lru_id_mgr_handle_': {
'allocated': 372,
'allocations': 1,
'frees': 0,
'requested': 316,
},
'mdt_obj_mgr_t': {
'allocated': 88,
'allocations': 1,
'frees': 0,
'requested': 32,
},
'mdtpub_sensor_periodic': {
'allocated': 0,
'allocations': 26,
'frees': 26,
'requested': 0,
},
'mqipc_ctl_': {
'allocated': 2480,
'allocations': 79,
'frees': 69,
'requested': 1920,
},
'netconf_write_buffer_s': {
'allocated': 0,
'allocations': 10402,
'frees': 10402,
'requested': 0,
},
's_mdt_dc_filters_list': {
'allocated': 0,
'allocations': 29,
'frees': 29,
'requested': 0,
},
's_mdt_filter_dc_choice': {
'allocated': 0,
'allocations': 29,
'frees': 29,
'requested': 0,
},
's_yp_sensor_oc': {
'allocated': 0,
'allocations': 3,
'frees': 3,
'requested': 0,
},
'section_data_s': {
'allocated': 0,
'allocations': 3,
'frees': 3,
'requested': 0,
},
'sensor_data_collection': {
'allocated': 0,
'allocations': 10399,
'frees': 10399,
'requested': 0,
},
'service_dir_connect_ac': {
'allocated': 0,
'allocations': 28,
'frees': 28,
'requested': 0,
},
'tc_work_queue_s': {
'allocated': 0,
'allocations': 5,
'frees': 5,
'requested': 0,
},
'tdl_epoch_s': {
'allocated': 152,
'allocations': 1,
'frees': 0,
'requested': 96,
},
'tdldb_info_': {
'allocated': 3136,
'allocations': 14,
'frees': 0,
'requested': 2352,
},
'tdldb_plat_data_s*': {
'allocated': 2432,
'allocations': 16,
'frees': 0,
'requested': 1536,
},
'tdlhandle_s': {
'allocated': 53584,
'allocations': 1290,
'frees': 1256,
'requested': 51680,
},
'tdlhandle_s*': {
'allocated': 0,
'allocations': 29,
'frees': 29,
'requested': 0,
},
'vista_context_': {
'allocated': 125888,
'allocations': 30,
'frees': 0,
'requested': 124208,
},
},
}
| expected_output = {'type': {'BYTE': {'allocated': 7045122, 'allocations': 737743, 'frees': 734750, 'requested': 6877514}, 'BYTE*': {'allocated': 29128, 'allocations': 345, 'frees': 309, 'requested': 27112}, 'PArray': {'allocated': 0, 'allocations': 180, 'frees': 180, 'requested': 0}, 'Summary': {'allocated': 7969955, 'allocations': 762405, 'frees': 759097, 'requested': 7784707}, '_btrace_ctx_global_': {'allocated': 7864, 'allocations': 26, 'frees': 7, 'requested': 6800}, '_btrace_module_*': {'allocated': 4389, 'allocations': 66, 'frees': 0, 'requested': 693}, '_dns_resolver_ctxt': {'allocated': 128, 'allocations': 1, 'frees': 0, 'requested': 72}, 'bipc_channel_': {'allocated': 136128, 'allocations': 412, 'frees': 404, 'requested': 135680}, 'bipc_rx_stream_': {'allocated': 459328, 'allocations': 412, 'frees': 404, 'requested': 458880}, 'brand_context_s': {'allocated': 0, 'allocations': 9, 'frees': 9, 'requested': 0}, 'chasfs_ctx_int_': {'allocated': 12576, 'allocations': 6, 'frees': 3, 'requested': 12408}, 'confd_cs_node**': {'allocated': 0, 'allocations': 84, 'frees': 84, 'requested': 0}, 'confd_event_node': {'allocated': 0, 'allocations': 246, 'frees': 246, 'requested': 0}, 'confd_hkeypath': {'allocated': 0, 'allocations': 129, 'frees': 129, 'requested': 0}, 'evContext_p': {'allocated': 12640, 'allocations': 1, 'frees': 0, 'requested': 12584}, 'file_alloc_handle_s': {'allocated': 1120, 'allocations': 14, 'frees': 0, 'requested': 336}, 'file_info': {'allocated': 71536, 'allocations': 34, 'frees': 0, 'requested': 69632}, 'filter_key_s': {'allocated': 0, 'allocations': 3, 'frees': 3, 'requested': 0}, 'green_args_s': {'allocated': 0, 'allocations': 284, 'frees': 284, 'requested': 0}, 'green_assist_be_defer_': {'allocated': 0, 'allocations': 3, 'frees': 3, 'requested': 0}, 'green_subscribe_tblcur': {'allocated': 0, 'allocations': 3, 'frees': 3, 'requested': 0}, 'green_subscribe_toc_tb': {'allocated': 104, 'allocations': 1, 'frees': 0, 'requested': 48}, 'hash_table_s': {'allocated': 1664, 'allocations': 16, 'frees': 0, 'requested': 768}, 'hashtable': {'allocated': 96, 'allocations': 1, 'frees': 0, 'requested': 40}, 'int32': {'allocated': 0, 'allocations': 1, 'frees': 1, 'requested': 0}, 'lru_id_mgr_handle_': {'allocated': 372, 'allocations': 1, 'frees': 0, 'requested': 316}, 'mdt_obj_mgr_t': {'allocated': 88, 'allocations': 1, 'frees': 0, 'requested': 32}, 'mdtpub_sensor_periodic': {'allocated': 0, 'allocations': 26, 'frees': 26, 'requested': 0}, 'mqipc_ctl_': {'allocated': 2480, 'allocations': 79, 'frees': 69, 'requested': 1920}, 'netconf_write_buffer_s': {'allocated': 0, 'allocations': 10402, 'frees': 10402, 'requested': 0}, 's_mdt_dc_filters_list': {'allocated': 0, 'allocations': 29, 'frees': 29, 'requested': 0}, 's_mdt_filter_dc_choice': {'allocated': 0, 'allocations': 29, 'frees': 29, 'requested': 0}, 's_yp_sensor_oc': {'allocated': 0, 'allocations': 3, 'frees': 3, 'requested': 0}, 'section_data_s': {'allocated': 0, 'allocations': 3, 'frees': 3, 'requested': 0}, 'sensor_data_collection': {'allocated': 0, 'allocations': 10399, 'frees': 10399, 'requested': 0}, 'service_dir_connect_ac': {'allocated': 0, 'allocations': 28, 'frees': 28, 'requested': 0}, 'tc_work_queue_s': {'allocated': 0, 'allocations': 5, 'frees': 5, 'requested': 0}, 'tdl_epoch_s': {'allocated': 152, 'allocations': 1, 'frees': 0, 'requested': 96}, 'tdldb_info_': {'allocated': 3136, 'allocations': 14, 'frees': 0, 'requested': 2352}, 'tdldb_plat_data_s*': {'allocated': 2432, 'allocations': 16, 'frees': 0, 'requested': 1536}, 'tdlhandle_s': {'allocated': 53584, 'allocations': 1290, 'frees': 1256, 'requested': 51680}, 'tdlhandle_s*': {'allocated': 0, 'allocations': 29, 'frees': 29, 'requested': 0}, 'vista_context_': {'allocated': 125888, 'allocations': 30, 'frees': 0, 'requested': 124208}}} |
class Solution:
def validPalindrome(self, s: str) -> bool:
def isValid (s,i,j):
while i < j:
if s[i] != s[j]:
return False
i += 1
j -= 1
return True
i ,j = 0,len(s)
while i < j:
if s[i] != s[j]:
return isValid(s, i + 1, j) or isValid(s, i , j - 1)
i += 1
j -= 1
return True | class Solution:
def valid_palindrome(self, s: str) -> bool:
def is_valid(s, i, j):
while i < j:
if s[i] != s[j]:
return False
i += 1
j -= 1
return True
(i, j) = (0, len(s))
while i < j:
if s[i] != s[j]:
return is_valid(s, i + 1, j) or is_valid(s, i, j - 1)
i += 1
j -= 1
return True |
class QueryDeviceGroupsInDTO(object):
def __init__(self):
self.accessAppId = None
self.pageNo = None
self.pageSize = None
self.name = None
def getAccessAppId(self):
return self.accessAppId
def setAccessAppId(self, accessAppId):
self.accessAppId = accessAppId
def getPageNo(self):
return self.pageNo
def setPageNo(self, pageNo):
self.pageNo = pageNo
def getPageSize(self):
return self.pageSize
def setPageSize(self, pageSize):
self.pageSize = pageSize
def getName(self):
return self.name
def setName(self, name):
self.name = name
| class Querydevicegroupsindto(object):
def __init__(self):
self.accessAppId = None
self.pageNo = None
self.pageSize = None
self.name = None
def get_access_app_id(self):
return self.accessAppId
def set_access_app_id(self, accessAppId):
self.accessAppId = accessAppId
def get_page_no(self):
return self.pageNo
def set_page_no(self, pageNo):
self.pageNo = pageNo
def get_page_size(self):
return self.pageSize
def set_page_size(self, pageSize):
self.pageSize = pageSize
def get_name(self):
return self.name
def set_name(self, name):
self.name = name |
# parsetab.py
# This file is automatically generated. Do not edit.
_lr_method = 'LALR'
_lr_signature = 'XP\xd6":$v\xd1\xacQ\xe2\x1d\xc8\x10T\xa2'
_lr_action_items = 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_lr_action = { }
for _k, _v in _lr_action_items.items():
for _x,_y in zip(_v[0],_v[1]):
_lr_action[(_x,_k)] = _y
del _lr_action_items
_lr_goto_items = {'expression_statement':([395,264,347,343,409,381,258,141,148,407,379,61,159,241,383,268,],[136,136,136,378,136,136,343,136,136,136,136,136,136,136,136,136,]),'storage_class_specifier':([29,141,28,222,55,60,61,232,65,2,3,328,1,238,168,],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,]),'str_opt_expr_pair':([422,412,413,390,],[404,418,404,404,]),'constant':([191,152,211,329,61,187,159,407,81,409,205,273,80,277,202,56,241,114,209,379,383,203,194,395,385,378,48,368,355,268,265,190,189,229,177,225,264,204,381,370,347,193,257,198,382,220,343,217,290,216,77,142,141,267,192,258,199,73,148,175,208,195,184,410,294,219,263,138,167,285,],[92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,92,]),'volatile_opt':([94,],[201,]),'unary_expression':([273,202,208,114,209,138,192,370,229,194,263,175,198,241,265,195,184,177,410,225,187,219,409,381,148,77,407,167,189,193,257,191,382,217,152,211,290,159,142,141,385,294,379,80,258,285,368,73,203,268,56,347,383,329,204,395,48,355,205,343,277,190,264,216,61,267,81,199,220,378,],[143,79,79,79,79,143,79,79,79,79,143,79,79,143,143,79,143,79,143,79,143,79,143,143,143,183,143,143,79,79,143,79,143,143,79,79,79,143,143,143,143,79,143,185,143,79,143,143,79,143,79,143,143,79,79,143,79,79,79,143,143,79,143,143,143,143,186,79,143,143,]),'struct_or_union_specifier':([138,2,168,88,169,222,67,65,328,187,48,55,1,279,238,82,28,73,232,141,61,3,287,60,170,29,173,],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,]),'exclusive_or_expression':([329,355,148,73,264,184,219,152,216,407,229,48,141,285,61,410,138,370,343,267,187,167,257,217,177,241,347,159,383,199,382,395,379,220,56,381,277,385,378,290,263,268,273,258,368,175,142,225,265,409,],[90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,292,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,]),'identifier_list':([55,],[129,]),'define':([1,],[23,]),'initializer':([385,277,167,],[401,352,275,]),'macro_param':([329,225,167,208,56,81,191,148,193,273,257,294,203,159,381,209,385,395,343,355,194,378,265,383,177,80,205,189,190,410,219,229,75,175,264,216,241,142,192,202,217,220,48,211,114,409,187,267,368,285,277,290,184,73,258,268,77,195,61,141,198,382,407,347,138,199,204,263,152,370,379,],[106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,180,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,106,]),'struct_declaration_list':([173,67,169,],[287,170,279,]),'macro_parameter_list':([71,],[176,]),'enumerator':([54,119,230,],[120,120,335,]),'declaration_list':([61,28,65,],[141,60,168,]),'iteration_statement':([148,264,407,395,383,61,159,241,379,381,347,141,268,409,],[137,137,137,137,137,137,137,137,137,137,137,137,137,137,]),'additive_expression':([265,329,355,217,220,229,395,257,73,264,142,138,208,285,61,268,381,195,56,277,343,290,152,216,407,199,209,48,383,241,148,187,382,410,141,205,370,203,204,347,379,263,184,368,219,409,167,202,378,211,159,194,258,267,175,273,385,225,177,198,],[84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,302,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,84,301,84,84,84,84,84,84,84,84,]),'assignment_expression':([167,216,258,265,220,148,347,264,184,217,410,241,263,381,383,407,378,267,385,187,409,379,277,73,273,268,159,257,141,61,395,382,343,142,368,138,],[276,320,161,161,161,161,161,161,161,161,161,161,344,161,161,161,161,161,276,161,161,161,276,161,161,161,161,342,161,161,161,161,161,161,391,161,]),'external_declaration':([1,],[15,]),'type_specifier':([67,29,28,328,88,279,48,173,232,238,141,222,3,60,82,287,65,138,61,73,168,169,1,55,187,170,2,],[82,29,29,29,82,82,82,82,29,29,29,29,29,29,82,82,29,82,29,82,29,82,29,29,82,82,29,]),'compound_statement':([60,264,409,383,159,268,241,65,347,141,61,381,407,148,379,168,28,395,],[134,144,144,144,144,144,144,166,144,144,144,144,144,144,144,278,57,144,]),'inclusive_or_expression':([73,407,152,409,329,379,167,385,184,368,61,395,175,48,148,241,347,159,268,277,370,199,220,56,225,216,267,378,343,219,258,265,383,381,229,285,410,217,263,257,355,290,138,142,264,382,141,187,273,],[72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,304,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,72,]),'pointer':([58,44,165,17,232,358,7,172,30,128,115,1,222,],[14,70,14,14,235,14,46,14,14,235,226,14,226,]),'selection_statement':([407,141,61,347,159,268,148,241,264,409,395,379,381,383,],[160,160,160,160,160,160,160,160,160,160,160,160,160,160,]),'postfix_expression':([73,192,294,56,199,194,263,187,383,378,175,77,217,141,152,189,285,159,219,142,193,257,329,355,81,395,379,268,381,205,202,190,410,204,61,241,290,208,148,229,407,277,265,114,184,409,203,138,267,216,343,198,264,191,347,382,211,48,220,177,368,273,225,385,195,370,167,80,258,209,],[110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,]),'asm_expression':([290,241,56,142,395,273,385,202,141,205,48,378,204,265,329,268,383,199,80,198,184,192,148,343,194,73,159,370,229,258,187,257,225,189,138,114,407,211,219,177,263,285,355,209,175,203,277,379,264,195,220,409,152,347,216,193,267,382,190,61,167,410,368,381,81,77,208,217,294,191,],[111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,111,]),'declaration_impl':([28,168,65,61,141,1,60,],[20,20,20,20,20,20,20,]),'and_expression':([370,167,217,152,285,198,73,219,381,385,383,273,257,61,141,199,290,343,263,184,329,264,410,56,379,395,268,159,347,241,225,409,148,277,216,229,265,187,138,378,267,220,355,175,142,258,382,48,177,368,407,],[107,107,107,107,107,303,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,]),'type_name':([73,48,138,187,],[179,89,179,295,]),'relational_expression':([378,73,241,217,264,382,263,48,211,225,285,258,381,177,347,268,159,368,175,273,219,329,409,343,138,184,56,209,355,257,142,148,187,370,267,277,198,395,216,152,379,410,220,61,383,141,167,199,208,265,385,407,229,290,],[97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,313,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,97,312,97,97,97,97,97,]),'statement':([264,407,381,347,379,148,409,159,241,395,61,141,268,383,],[345,414,398,380,397,260,416,272,260,406,154,154,349,400,]),'cast_expression':([395,407,217,385,159,347,229,202,177,257,211,343,189,193,273,73,285,258,209,198,216,184,264,114,194,382,203,378,409,205,219,187,267,138,381,329,208,220,195,56,142,268,61,141,175,148,379,370,192,204,152,191,241,48,190,225,294,410,199,167,290,265,383,368,277,263,355,],[98,98,98,98,98,98,98,98,98,98,98,98,98,300,98,98,98,98,98,98,98,98,98,221,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,98,299,98,98,298,98,98,98,98,364,98,98,98,98,98,98,98,98,98,98,]),'init_declarator':([58,165,30,],[63,274,63,]),'struct_declarator_list':([172,],[286,]),'logical_or_expression':([343,407,265,217,285,395,347,258,273,257,410,138,184,378,264,73,381,216,142,382,268,61,141,187,267,175,220,370,148,48,409,56,167,379,152,263,329,290,241,225,383,385,277,368,159,229,355,],[113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,113,]),'unary_operator':([77,141,241,148,277,159,192,407,56,184,194,409,294,203,187,217,205,189,198,219,202,142,382,190,211,220,204,368,273,257,225,258,167,208,379,385,229,265,114,138,378,267,175,290,61,285,191,355,370,343,48,193,177,329,152,195,81,80,209,264,395,216,73,268,381,199,263,410,347,383,],[114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,114,]),'translation_unit':([0,],[1,]),'struct_or_union':([55,141,3,88,173,232,170,287,328,48,60,2,61,82,238,138,67,222,169,29,187,279,168,1,28,73,65,],[41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,]),'type_qualifier_list':([7,],[44,]),'struct_declaration':([279,169,67,287,173,170,],[280,171,171,280,171,280,]),'string_literal':([203,148,381,265,220,216,395,202,294,382,80,219,412,347,77,241,211,167,192,410,189,142,56,184,370,217,422,263,198,285,205,383,152,379,175,190,195,390,75,407,264,177,277,290,378,225,208,191,114,267,355,187,409,329,204,258,343,368,193,138,199,159,268,257,141,48,229,61,385,305,81,194,413,209,73,273,],[85,85,85,85,85,85,85,85,85,85,85,85,403,85,85,85,85,85,85,85,85,85,85,85,85,85,403,85,85,85,85,85,85,85,85,85,85,403,182,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,85,366,85,85,403,85,85,85,]),'parameter_type_list':([222,232,328,55,],[326,326,374,126,]),'parameter_declaration':([328,232,238,55,222,],[127,127,338,127,127,]),'multiplicative_expression':([381,167,61,195,355,204,138,379,203,409,198,175,177,258,285,277,225,187,219,211,268,48,194,148,142,257,73,378,56,395,202,229,407,159,189,209,343,385,329,273,265,208,368,290,382,205,141,184,199,383,220,190,264,410,216,217,152,241,370,267,347,263,],[86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,296,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,86,297,86,86,86,86,86,86,86,86,86,86,]),'declarator':([232,165,1,30,128,58,172,17,358,],[51,133,28,65,234,133,283,51,283,]),'argument_expression_list':([216,],[321,]),'str_opt_expr_pair_list':([390,413,422,],[405,419,423,]),'statement_list':([61,141,],[148,241,]),'constant_expression':([48,290,56,175,225,285,152,329,355,229,],[99,362,132,289,330,356,266,376,386,334,]),'enumerator_list_iso':([54,119,],[123,123,]),'primary_expression':([385,73,187,220,370,267,277,199,191,209,204,241,347,208,257,48,211,205,159,355,194,379,219,61,141,175,290,329,198,343,216,138,184,56,264,265,294,152,410,285,192,258,407,229,202,77,381,378,148,273,268,409,395,80,81,382,195,225,177,142,203,368,114,190,193,217,383,189,167,263,],[101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,101,]),'declaration_specifiers':([29,222,238,232,28,168,328,60,1,61,141,55,65,3,2,],[62,128,128,128,58,58,128,58,30,58,58,128,58,43,42,]),'declaration':([141,60,1,168,65,28,61,],[135,135,31,135,59,59,59,]),'direct_declarator':([172,1,128,235,14,30,358,232,58,17,165,],[27,27,27,50,50,27,27,27,27,27,27,]),'logical_and_expression':([347,56,407,355,138,378,61,141,379,395,290,220,48,175,263,410,258,285,277,225,187,267,73,229,142,381,329,273,265,167,368,343,385,383,184,264,241,409,370,268,216,217,152,219,148,257,159,382,],[93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,93,323,93,93,93,93,]),'init_declarator_list':([58,30,],[64,64,]),'shift_expression':([208,229,211,378,241,184,216,410,285,141,409,379,217,395,265,263,202,257,56,167,199,187,219,159,258,370,264,209,175,220,205,385,142,225,329,273,368,383,347,355,177,48,343,152,267,382,407,198,277,148,61,290,204,203,73,381,268,138,],[87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,306,87,87,87,87,87,87,87,87,87,87,87,87,87,309,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,87,308,307,87,87,87,87,]),'equality_expression':([48,268,381,378,343,368,216,267,56,199,385,225,177,198,383,265,355,241,217,148,229,395,257,347,409,61,379,277,184,290,152,167,407,211,159,258,175,273,187,382,329,141,220,73,264,370,142,138,263,285,219,410,],[102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,316,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,]),'jump_statement':([264,159,381,379,347,407,141,268,241,148,61,395,383,409,],[155,155,155,155,155,155,155,155,155,155,155,155,155,155,]),'struct_declarator':([358,172,],[387,282,]),'function_definition':([1,],[33,]),'parameter_list':([328,222,55,232,],[130,130,130,130,]),'enum_specifier':([82,170,29,168,61,1,3,88,48,222,169,232,65,287,60,238,173,28,328,67,187,141,73,279,138,55,2,],[38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,]),'type_qualifier':([187,55,88,82,44,28,169,328,238,279,65,173,222,60,141,7,287,2,138,73,232,29,168,67,3,61,48,170,1,],[88,3,88,88,69,3,88,3,3,88,3,88,3,3,3,45,88,3,88,88,3,3,3,88,3,3,88,88,3,]),'enumerator_list':([119,54,],[227,121,]),'labeled_statement':([141,148,395,407,61,383,379,159,268,241,347,264,409,381,],[140,140,140,140,140,140,140,140,140,140,140,140,140,140,]),'abstract_declarator':([115,222,232,128,],[223,327,327,233,]),'specifier_qualifier_list':([169,170,173,48,279,73,187,138,287,88,82,67,],[172,172,172,115,172,115,115,115,172,196,188,172,]),'multi_string_literal':([205,267,138,203,184,114,265,229,343,290,81,410,385,61,257,204,193,192,347,190,142,202,381,159,219,268,285,379,152,395,217,294,209,264,263,194,199,407,241,355,258,80,195,189,141,77,175,273,382,220,378,383,187,56,73,198,216,167,370,277,148,409,225,329,368,177,48,211,208,191,],[75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,75,]),'assignment_operator':([143,],[257,]),'initializer_list':([277,],[353,]),'conditional_expression':([257,56,217,285,187,265,141,258,241,148,48,385,216,368,273,184,329,159,378,343,267,407,73,225,263,410,370,277,268,382,264,167,175,152,395,409,138,61,290,355,229,220,381,383,142,379,347,],[163,116,163,116,163,163,163,163,163,163,116,163,163,163,163,163,116,163,163,163,163,163,163,116,163,163,392,163,163,163,163,163,116,116,163,163,163,163,116,116,116,163,163,163,163,163,163,]),'direct_abstract_declarator':([115,235,226,128,232,222,],[224,332,332,224,224,224,]),'identifier':([205,410,368,285,407,294,195,56,264,208,203,277,355,273,175,263,199,258,81,207,148,385,267,61,141,77,329,290,220,210,167,73,193,219,381,204,382,138,347,225,177,265,229,48,184,187,378,189,192,216,383,209,217,343,409,114,190,241,202,198,257,80,142,370,159,211,152,268,191,379,395,194,],[76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,311,76,76,76,76,76,76,76,76,76,314,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,76,]),'expression':([378,73,187,381,343,409,265,61,268,379,347,264,267,142,273,383,138,410,258,141,159,148,382,184,217,395,220,407,241,],[396,178,178,149,149,149,346,149,149,149,149,149,348,245,351,149,178,417,149,149,149,149,399,178,322,149,324,149,149,]),}
_lr_goto = { }
for _k, _v in _lr_goto_items.items():
for _x,_y in zip(_v[0],_v[1]):
_lr_goto[(_x,_k)] = _y
del _lr_goto_items
_lr_productions = [
("S'",1,None,None,None),
('translation_unit',0,'p_translation_unit','ctypesgencore/parser/cgrammar.py',57),
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-65, -59, -32, -75, -60, -14, -6, -69, -34, -18, -82, -61, -35, 220, -20, -68, -83, -77, -81, -10, -28, -56, -13, -63, -72, -64, -47, -21, -4]), '$end': ([23, 361, 340, 15, 31, 388, 0, 74, 57, 52, 134, 117, 261, 33, 166, 1, 360, 278, 288, 270, 243, 206, 164, 197], [-3, -253, -221, -2, -242, -254, -1, -248, -247, -104, -246, -255, -219, -243, -245, 0, -252, -244, -251, -222, -220, -250, -218, -249]), 'FOR': ([347, 141, 340, 135, 400, 155, 144, 268, 52, 164, 243, 397, 136, 260, 345, 61, 137, 406, 262, 244, 339, 407, 241, 160, 159, 271, 154, 395, 145, 381, 264, 59, 259, 383, 379, 415, 341, 148, 398, 380, 349, 409, 416, 140, 414, 261, 269, 270], [146, 146, -221, -224, -230, -214, -210, 146, -104, -218, -220, -233, -211, -226, -217, 146, -213, -235, -228, -240, -237, 146, 146, -212, 146, -229, -225, 146, -227, 146, 146, -223, -238, 146, 146, -234, -241, 146, -232, -216, -215, 146, -231, -209, -236, -219, -239, -222]), 'UNION': ([228, 65, 173, 238, 68, 40, 37, 284, 278, 287, 13, 357, 3, 23, 333, 236, 24, 354, 164, 1, 21, 232, 66, 38, 170, 222, 36, 12, 280, 243, 39, 57, 328, 33, 141, 0, 8, 29, 60, 135, 35, 82, 169, 16, 231, 48, 67, 10, 206, 270, 5, 15, 32, 61, 73, 18, 361, 28, 52, 59, 281, 134, 55, 124, 27, 168, 197, 6, 261, 239, 53, 340, 9, 118, 19, 288, 4, 74, 50, 138, 388, 171, 31, 279, 360, 26, 2, 166, 131, 88, 187, 117, 359], [-155, 22, 22, 22, -138, -121, -130, -145, -244, 22, -134, -144, 22, -3, -156, -173, -117, -136, -218, 22, -168, 22, -139, -133, 22, 22, -129, -118, -143, -220, -165, -247, 22, -243, 22, -1, -124, 22, 22, -224, -126, 22, 22, -123, -172, 22, 22, -119, -250, -222, -132, -2, -128, 22, 22, -131, -253, 22, -104, -223, -137, -246, 22, -174, -167, 22, -249, -122, -219, -170, -157, -221, -125, -169, -127, -251, -164, -248, -166, 22, -254, -142, -242, 22, -252, -120, 22, -245, -171, 22, 22, -255, -135]), 'ELSE': ([340, 345, 269, 339, 271, 416, 140, 137, 136, 400, 259, 406, 261, 415, 243, 397, 349, 155, 144, 398, 145, 341, 262, 270, 414, 160, 244, 380, 164], [-221, -217, -239, -237, -229, -231, -209, -213, -211, 409, -238, -235, -219, -234, -220, -233, -215, -214, -210, -232, -227, -241, -228, -222, -236, -212, -240, -216, -218]), '[': ([377, 32, 394, 7, 44, 105, 182, 4, 332, 359, 82, 46, 124, 212, 76, 91, 37, 70, 8, 13, 128, 2, 29, 239, 218, 62, 317, 369, 18, 45, 315, 16, 231, 319, 43, 3, 331, 38, 293, 236, 27, 393, 318, 88, 100, 115, 232, 78, 21, 281, 110, 66, 69, 53, 24, 36, 226, 118, 373, 12, 39, 371, 188, 10, 180, 314, 131, 5, 333, 325, 35, 19, 224, 196, 214, 228, 50, 75, 375, 40, 311, 106, 6, 222, 310, 181, 9, 103, 92, 26, 354, 68, 85, 156, 367, 372, 235, 42, 101], [-197, -128, -199, -175, -176, -10, -14, -164, 329, -135, -147, -177, -174, -29, -18, -11, -130, -178, -124, -134, 225, -107, -109, -170, -17, -110, -26, -23, -131, -179, -7, -123, -172, -24, -112, -111, -196, -133, -21, -173, 56, -203, -27, -149, -16, 225, 225, -9, -168, -137, 217, -139, -180, -157, -117, -129, 225, -169, -202, -118, -165, -201, -146, -119, -15, -5, -171, -132, -156, -200, -126, -127, 329, -148, -28, -155, 56, -20, -198, -121, -6, -13, -122, 225, -8, -16, -125, -4, -19, -120, -136, -138, -12, -4, -25, -195, 225, -108, -22]), 'OR_OP': ([221, 156, 86, 312, 97, 367, 302, 316, 365, 300, 110, 314, 218, 84, 309, 113, 318, 98, 307, 185, 103, 306, 319, 78, 87, 91, 100, 424, 303, 143, 323, 421, 310, 186, 72, 411, 297, 101, 180, 106, 311, 369, 304, 92, 85, 105, 90, 293, 93, 183, 298, 212, 102, 79, 308, 76, 301, 313, 75, 292, 107, 296, 111, 364, 299, 389, 181, 214, 317, 315, 182], [-46, -4, -62, -75, -73, -25, -67, -77, -48, -60, -43, -5, -17, -65, -70, 219, -27, -58, -69, -45, -4, -71, -24, -9, -68, -11, -16, -35, -79, -56, -85, -34, -8, -47, -82, -33, -64, -22, -15, -13, -6, -23, -83, -19, -12, -10, -80, -21, -84, -44, -59, -29, -76, -56, -72, -18, -66, -74, -20, -81, -78, -63, -49, -57, -61, -32, -16, -28, -26, -7, -14]), 'SUB_ASSIGN': ([293, 105, 79, 186, 367, 421, 318, 221, 218, 424, 111, 78, 411, 317, 92, 311, 389, 185, 91, 314, 310, 103, 180, 315, 365, 76, 183, 214, 182, 85, 156, 101, 212, 143, 110, 369, 364, 181, 106, 100, 75, 319], [-21, -10, -56, -47, -25, -34, -27, -46, -17, -35, -49, -9, -33, -26, -19, -6, -32, -45, -11, -5, -8, -4, -15, -7, -48, -18, -44, -28, -14, -12, -4, -22, -29, 246, -43, -23, -57, -16, -13, -16, -20, -24]), 'XOR_ASSIGN': ([182, 156, 91, 311, 78, 183, 85, 100, 369, 365, 389, 315, 185, 424, 76, 214, 143, 310, 92, 221, 110, 106, 421, 79, 319, 218, 101, 411, 75, 186, 180, 367, 111, 103, 317, 364, 105, 181, 314, 318, 212, 293], [-14, -4, -11, -6, -9, -44, -12, -16, -23, -48, -32, -7, -45, -35, -18, -28, 248, -8, -19, -46, -43, -13, -34, -56, -24, -17, -22, -33, -20, -47, -15, -25, -49, -4, -26, -57, -10, -16, -5, -27, -29, -21]), 'INT': ([2, 29, 32, 61, 27, 59, 88, 82, 117, 65, 16, 124, 3, 239, 236, 9, 288, 131, 360, 359, 24, 1, 28, 141, 279, 232, 281, 55, 66, 8, 135, 170, 197, 354, 53, 164, 118, 280, 231, 238, 48, 284, 18, 37, 361, 13, 388, 31, 357, 0, 73, 52, 169, 21, 173, 38, 40, 206, 287, 270, 5, 33, 36, 15, 12, 19, 74, 26, 278, 39, 50, 57, 68, 138, 134, 166, 60, 168, 67, 6, 261, 35, 340, 222, 187, 228, 4, 243, 10, 328, 171, 23, 333], [35, 35, -128, 35, -167, -223, 35, 35, -255, 35, -123, -174, 35, -170, -173, -125, -251, -171, -252, -135, -117, 35, 35, 35, 35, 35, -137, 35, -139, -124, -224, 35, -249, -136, -157, -218, -169, -143, -172, 35, 35, -145, -131, -130, -253, -134, -254, -242, -144, -1, 35, -104, 35, -168, 35, -133, -121, -250, 35, -222, -132, -243, -129, -2, -118, -127, -248, -120, -244, -165, -166, -247, -138, 35, -246, -245, 35, 35, 35, -122, -219, -126, -221, 35, 35, -155, -164, -220, -119, 35, -142, -3, -156]), 'SIGNED': ([31, 6, 53, 168, 50, 28, 287, 284, 0, 36, 2, 170, 35, 27, 124, 38, 360, 10, 57, 32, 281, 134, 131, 359, 333, 171, 59, 118, 67, 13, 173, 388, 3, 88, 166, 23, 328, 288, 138, 354, 222, 5, 66, 73, 236, 74, 48, 278, 24, 141, 239, 279, 37, 197, 65, 12, 9, 243, 39, 68, 187, 15, 206, 357, 280, 55, 261, 82, 169, 29, 4, 1, 228, 19, 16, 40, 26, 270, 231, 60, 8, 340, 238, 21, 117, 18, 361, 61, 33, 135, 164, 52, 232], [-242, -122, -157, 37, -166, 37, 37, -145, -1, -129, 37, 37, -126, -167, -174, -133, -252, -119, -247, -128, -137, -246, -171, -135, -156, -142, -223, -169, 37, -134, 37, -254, 37, 37, -245, -3, 37, -251, 37, -136, 37, -132, -139, 37, -173, -248, 37, -244, -117, 37, -170, 37, -130, -249, 37, -118, -125, -220, -165, -138, 37, -2, -250, -144, -143, 37, -219, 37, 37, 37, -164, 37, -155, -127, -123, -121, -120, -222, -172, 37, -124, -221, 37, -168, -255, -131, -253, 37, -243, -224, -218, -104, 37]), 'CONTINUE': ([155, 340, 243, 345, 271, 347, 383, 154, 264, 269, 260, 380, 144, 241, 407, 136, 160, 159, 400, 137, 339, 416, 259, 349, 268, 406, 148, 415, 398, 135, 164, 381, 414, 145, 61, 141, 395, 140, 52, 59, 261, 270, 379, 397, 244, 341, 262, 409], [-214, -221, -220, -217, -229, 147, 147, -225, 147, -239, -226, -216, -210, 147, 147, -211, -212, 147, -230, -213, -237, -231, -238, -215, 147, -235, 147, -234, -232, -224, -218, 147, -236, -227, 147, 147, 147, -209, -104, -223, -219, -222, 147, -233, -240, -241, -228, 147]), 'MUL_ASSIGN': ([311, 105, 76, 318, 100, 317, 389, 365, 183, 314, 78, 91, 181, 315, 182, 85, 369, 424, 185, 319, 364, 106, 310, 75, 411, 79, 214, 143, 180, 221, 111, 421, 92, 103, 212, 186, 101, 110, 156, 293, 367, 218], [-6, -10, -18, -27, -16, -26, -32, -48, -44, -5, -9, -11, -16, -7, -14, -12, -23, -35, -45, -24, -57, -13, -8, -20, -33, -56, -28, 251, -15, -46, -49, -34, -19, -4, -29, -47, -22, -43, -4, -21, -25, -17]), '{': ([341, 52, 416, 379, 397, 124, 159, 409, 136, 407, 164, 66, 41, 243, 395, 137, 398, 339, 271, 381, 241, 145, 380, 261, 144, 415, 269, 383, 262, 340, 406, 34, 135, 414, 140, 168, 264, 53, 141, 349, 270, 154, 27, 60, 148, 25, 68, 131, 61, 167, 260, 21, 385, 268, 118, 28, 231, 347, 236, 59, 155, 400, 345, 22, 277, 160, 239, 259, 244, 65, 50], [-241, -104, -231, 61, -233, -174, 61, 61, -211, 61, -218, 169, 67, -220, 61, -213, -232, -237, -229, 61, 61, -227, -216, -219, -210, -234, -239, 61, -228, -221, -235, -140, -224, -236, -209, 61, 61, 119, 61, -215, -222, -225, -167, 61, 61, 54, 173, -171, 61, 277, -226, -168, 277, 61, -169, 61, -172, 61, -173, -223, -214, -230, -217, -141, 277, -212, -170, -238, -240, 61, -166]), 'RIGHT_OP': ([315, 86, 319, 369, 307, 78, 311, 365, 212, 317, 300, 308, 309, 296, 297, 301, 367, 293, 105, 185, 143, 424, 186, 85, 103, 91, 182, 183, 87, 421, 75, 79, 221, 314, 318, 306, 218, 310, 156, 364, 214, 299, 106, 110, 111, 98, 389, 100, 180, 92, 411, 84, 298, 101, 302, 76, 181], [-7, -62, -24, -23, 195, -9, -6, -48, -29, -26, -60, 195, 195, -63, -64, -66, -25, -21, -10, -45, -56, -35, -47, -12, -4, -11, -14, -44, 195, -34, -20, -56, -46, -5, -27, 195, -17, -8, -4, -57, -28, -61, -13, -43, -49, -58, -32, -16, -15, -19, -33, -65, -59, -22, -67, -18, -16]), 'REGISTER': ([168, 2, 13, 118, 39, 360, 4, 68, 340, 261, 52, 231, 238, 74, 53, 333, 206, 0, 124, 361, 36, 135, 359, 65, 33, 131, 31, 6, 9, 141, 59, 24, 1, 388, 40, 8, 27, 5, 278, 66, 38, 28, 197, 354, 61, 37, 239, 35, 29, 270, 21, 55, 23, 3, 243, 166, 26, 281, 10, 60, 117, 328, 228, 232, 134, 50, 57, 32, 12, 19, 164, 16, 15, 18, 288, 222, 236], [40, 40, -134, -169, -165, -252, -164, -138, -221, -219, -104, -172, 40, -248, -157, -156, -250, -1, -174, -253, -129, -224, -135, 40, -243, -171, -242, -122, -125, 40, -223, -117, 40, -254, -121, -124, -167, -132, -244, -139, -133, 40, -249, -136, 40, -130, -170, -126, 40, -222, -168, 40, -3, 40, -220, -245, -120, -137, -119, 40, -255, 40, -155, 40, -246, -166, -247, -128, -118, -127, -218, -123, -2, -131, -251, 40, -173]), 'RIGHT_ASSIGN': ([221, 185, 183, 218, 182, 364, 369, 367, 78, 186, 156, 111, 389, 315, 91, 421, 318, 310, 105, 103, 110, 75, 92, 79, 181, 100, 106, 76, 143, 424, 365, 317, 311, 293, 212, 319, 101, 214, 85, 180, 314, 411], [-46, -45, -44, -17, -14, -57, -23, -25, -9, -47, -4, -49, -32, -7, -11, -34, -27, -8, -10, -4, -43, -20, -19, -56, -16, -16, -13, -18, 256, -35, -48, -26, -6, -21, -29, -24, -22, -28, -12, -15, -5, -33]), 'DEFAULT': ([159, 52, 155, 407, 345, 140, 381, 141, 260, 416, 154, 383, 397, 341, 379, 380, 59, 269, 339, 136, 270, 137, 271, 164, 160, 145, 241, 414, 243, 395, 262, 406, 261, 259, 61, 340, 400, 268, 135, 349, 415, 148, 244, 347, 144, 264, 398, 409], [150, -104, -214, 150, -217, -209, 150, 150, -226, -231, -225, 150, -233, -241, 150, -216, -223, -239, -237, -211, -222, -213, -229, -218, -212, -227, 150, -236, -220, 150, -228, -235, -219, -238, 150, -221, -230, 150, -224, -215, -234, 150, -240, 150, -210, 150, -232, 150]), 'CHAR': ([206, 15, 18, 164, 4, 13, 280, 21, 55, 29, 135, 26, 60, 361, 197, 37, 278, 228, 68, 141, 360, 48, 66, 12, 1, 39, 138, 288, 239, 169, 5, 279, 9, 187, 23, 354, 82, 236, 65, 24, 222, 284, 31, 73, 74, 166, 333, 2, 67, 118, 57, 3, 170, 171, 88, 28, 134, 32, 8, 340, 59, 35, 287, 173, 131, 281, 52, 6, 10, 243, 0, 231, 359, 388, 232, 27, 238, 328, 124, 50, 168, 38, 16, 261, 36, 117, 33, 53, 357, 61, 270, 19, 40], [-250, -2, -131, -218, -164, -134, -143, -168, 8, 8, -224, -120, 8, -253, -249, -130, -244, -155, -138, 8, -252, 8, -139, -118, 8, -165, 8, -251, -170, 8, -132, 8, -125, 8, -3, -136, 8, -173, 8, -117, 8, -145, -242, 8, -248, -245, -156, 8, 8, -169, -247, 8, 8, -142, 8, 8, -246, -128, -124, -221, -223, -126, 8, 8, -171, -137, -104, -122, -119, -220, -1, -172, -135, -254, 8, -167, 8, 8, -174, -166, 8, -133, -123, -219, -129, -255, -243, -157, -144, 8, -222, -127, -121]), 'WHILE': ([244, 160, 347, 137, 269, 259, 341, 52, 136, 145, 164, 415, 349, 397, 339, 379, 380, 59, 264, 409, 345, 159, 141, 148, 155, 272, 243, 260, 398, 140, 154, 406, 381, 61, 270, 407, 400, 241, 268, 340, 383, 414, 135, 416, 262, 271, 261, 144, 395], [-240, -212, 151, -213, -239, -238, -241, -104, -211, -227, -218, -234, -215, -233, -237, 151, -216, -223, 151, 151, -217, 151, 151, 151, -214, 350, -220, -226, -232, -209, -225, -235, 151, 151, -222, 151, -230, 151, 151, -221, 151, -236, -224, -231, -228, -229, -219, -210, 151]), 'EXTERN': ([4, 1, 31, 23, 117, 29, 270, 361, 32, 21, 281, 59, 333, 65, 57, 359, 206, 124, 68, 236, 328, 66, 261, 15, 26, 50, 232, 6, 243, 53, 164, 197, 24, 118, 36, 238, 12, 33, 222, 134, 40, 60, 228, 61, 16, 5, 38, 2, 19, 231, 3, 340, 0, 27, 28, 360, 55, 9, 39, 131, 37, 288, 10, 8, 239, 74, 278, 35, 18, 135, 141, 168, 13, 354, 388, 166, 52], [-164, 12, -242, -3, -255, 12, -222, -253, -128, -168, -137, -223, -156, 12, -247, -135, -250, -174, -138, -173, 12, -139, -219, -2, -120, -166, 12, -122, -220, -157, -218, -249, -117, -169, -129, 12, -118, -243, 12, -246, -121, 12, -155, 12, -123, -132, -133, 12, -127, -172, 12, -221, -1, -167, 12, -252, 12, -125, -165, -171, -130, -251, -119, -124, -170, -248, -244, -126, -131, -224, 12, 12, -134, -136, -254, -245, -104]), 'RETURN': ([416, 347, 52, 406, 136, 260, 241, 164, 383, 339, 264, 340, 145, 148, 159, 269, 135, 244, 262, 414, 141, 61, 271, 398, 379, 415, 243, 400, 381, 341, 155, 59, 259, 349, 397, 407, 160, 140, 345, 137, 144, 395, 409, 154, 380, 270, 268, 261], [-231, 142, -104, -235, -211, -226, 142, -218, 142, -237, 142, -221, -227, 142, 142, -239, -224, -240, -228, -236, 142, 142, -229, -232, 142, -234, -220, -230, 142, -241, -214, -223, -238, -215, -233, 142, -212, -209, -217, -213, -210, 142, 142, -225, -216, -222, 142, -219]), '__ASM__': ([385, 381, 167, 407, 164, 135, 269, 416, 258, 144, 175, 398, 202, 382, 260, 109, 285, 368, 252, 397, 160, 198, 229, 345, 137, 257, 104, 211, 80, 48, 189, 191, 380, 370, 96, 148, 378, 290, 249, 203, 261, 246, 263, 177, 108, 243, 410, 340, 190, 400, 355, 253, 192, 219, 136, 277, 81, 244, 141, 138, 270, 294, 339, 329, 262, 264, 414, 383, 379, 154, 114, 217, 140, 56, 254, 209, 341, 267, 61, 343, 152, 406, 409, 83, 59, 268, 250, 52, 220, 216, 241, 347, 271, 395, 415, 187, 247, 73, 155, 204, 225, 255, 193, 349, 142, 199, 208, 184, 259, 145, 194, 251, 77, 248, 265, 195, 95, 273, 256, 205, 159], [94, 94, 94, 94, -218, -224, -239, -231, 94, -210, 94, -232, 94, 94, -226, -53, 94, 94, -92, -233, -212, 94, 94, -217, -213, 94, -54, 94, 94, 94, 94, 94, -216, 94, -51, 94, 94, 94, -100, 94, -219, -95, 94, 94, -55, -220, 94, -221, 94, -230, 94, -96, 94, 94, -211, 94, 94, -240, 94, 94, -222, 94, -237, 94, -228, 94, -236, 94, 94, -225, 94, 94, -209, 94, -90, 94, -241, 94, 94, 94, 94, -235, 94, -52, -223, 94, -98, -104, 94, 94, 94, 94, -229, 94, -234, 94, -93, 94, -214, 94, 94, -94, 94, -215, 94, 94, 94, 94, -238, -227, 94, -91, 94, -99, 94, 94, -50, 94, -97, 94, 94]), 'CASE': ([381, 395, 259, 341, 345, 241, 339, 409, 379, 137, 380, 159, 136, 269, 154, 270, 145, 397, 264, 164, 243, 135, 148, 59, 340, 260, 144, 271, 407, 140, 141, 244, 52, 414, 155, 416, 398, 400, 262, 268, 160, 406, 349, 347, 383, 61, 415, 261], [152, 152, -238, -241, -217, 152, -237, 152, 152, -213, -216, 152, -211, -239, -225, -222, -227, -233, 152, -218, -220, -224, 152, -223, -221, -226, -210, -229, 152, -209, 152, -240, -104, -236, -214, -231, -232, -230, -228, 152, -212, -235, -215, 152, 152, 152, -234, -219]), 'PP_DEFINE_MACRO_NAME': ([11], [47]), '&': ([205, 98, 106, 256, 52, 329, 214, 407, 136, 91, 308, 202, 95, 148, 156, 381, 318, 211, 219, 187, 306, 191, 198, 260, 349, 315, 184, 192, 385, 290, 140, 181, 257, 142, 145, 84, 92, 277, 285, 254, 154, 340, 312, 249, 216, 409, 241, 319, 220, 389, 382, 195, 251, 300, 313, 83, 261, 398, 316, 185, 78, 355, 271, 73, 270, 416, 424, 167, 104, 85, 370, 255, 177, 341, 317, 218, 262, 379, 248, 189, 383, 135, 252, 209, 314, 77, 48, 108, 293, 301, 194, 79, 364, 225, 310, 298, 87, 183, 190, 59, 406, 414, 307, 250, 61, 294, 56, 253, 229, 369, 411, 299, 246, 267, 160, 365, 111, 421, 114, 311, 180, 243, 264, 199, 378, 144, 103, 368, 203, 339, 347, 102, 164, 258, 143, 367, 96, 193, 296, 107, 75, 247, 268, 137, 309, 141, 101, 109, 400, 395, 343, 80, 244, 265, 273, 212, 397, 100, 186, 302, 217, 410, 204, 97, 105, 175, 182, 76, 269, 138, 86, 208, 155, 81, 221, 159, 415, 345, 259, 152, 297, 263, 380, 110, 303], [95, -58, -13, -97, -104, 95, -28, 95, 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83, 273, 407, 258, 219, 187, 406, 96, 250, 164, 73, 379, 260, 253, 414, 192, 385, 198, 255, 229, 137, 52, 216, 409, 370, 109, 203, 177, 148, 211, 205, 398, 184, 190, 114, 247, 155, 341, 208, 349, 343, 257, 220, 140, 294, 383, 265, 259, 378, 145, 267, 61, 264, 142, 270, 108, 395, 95, 59], [-231, 104, -233, 104, -240, -216, 104, 104, -92, -95, -212, -97, 104, 104, -228, 104, -230, -90, 104, -91, 104, -100, 104, 104, 104, 104, -234, 104, 104, 104, 104, -210, 104, 104, -217, 104, 104, 104, -225, -221, -220, 104, 104, 104, -237, 104, -211, 104, 104, 104, -229, 104, -219, 104, 104, -239, 104, -54, -224, -99, 104, 104, -52, 104, 104, 104, 104, 104, -235, -51, -98, -218, 104, 104, -226, -96, -236, 104, 104, 104, -94, 104, -213, -104, 104, 104, 104, -53, 104, 104, 104, 104, 104, -232, 104, 104, 104, -93, -214, -241, 104, -215, 104, 104, 104, -209, 104, 104, 104, -238, 104, -227, 104, 104, 104, 104, -222, -55, 104, -50, -223]), 'DO': ([381, 271, 347, 243, 339, 136, 155, 383, 415, 140, 380, 409, 398, 137, 397, 59, 159, 416, 164, 407, 379, 259, 270, 145, 141, 264, 340, 345, 144, 160, 135, 414, 52, 154, 260, 241, 395, 148, 61, 244, 269, 400, 262, 349, 268, 406, 261, 341], [159, -229, 159, -220, -237, -211, -214, 159, -234, -209, -216, 159, -232, -213, -233, -223, 159, -231, -218, 159, 159, -238, -222, -227, 159, 159, -221, -217, -210, -212, -224, -236, -104, -225, -226, 159, 159, 159, 159, -240, -239, -230, -228, -215, 159, -235, -219, -241]), 'CONST': ([359, 166, 19, 24, 388, 31, 9, 173, 270, 32, 37, 59, 118, 10, 88, 45, 50, 13, 18, 28, 231, 15, 117, 60, 21, 26, 61, 68, 55, 360, 222, 6, 74, 261, 124, 27, 3, 67, 171, 206, 354, 33, 197, 232, 135, 2, 16, 8, 4, 357, 141, 73, 340, 38, 281, 29, 228, 12, 236, 39, 44, 82, 57, 48, 164, 278, 5, 69, 7, 361, 134, 52, 168, 53, 138, 288, 36, 239, 23, 66, 287, 35, 243, 328, 169, 333, 0, 40, 279, 284, 238, 170, 65, 131, 187, 280, 1], [-135, -245, -127, -117, -254, -242, -125, 4, -222, -128, -130, -223, -169, -119, 4, -179, -166, -134, -131, 4, -172, -2, -255, 4, -168, -120, 4, -138, 4, -252, 4, -122, -248, -219, -174, -167, 4, 4, -142, -250, -136, -243, -249, 4, -224, 4, -123, -124, -164, -144, 4, 4, -221, -133, -137, 4, -155, -118, -173, -165, 4, 4, -247, 4, -218, -244, -132, -180, 4, -253, -246, -104, 4, -157, 4, -251, -129, -170, -3, -139, 4, -126, -220, 4, 4, -156, -1, -121, 4, -145, 4, 4, 4, -171, 4, -143, 4]), '!': ([241, 246, 341, 204, 265, 269, 189, 262, 73, 220, 77, 229, 138, 285, 96, 104, 243, 254, 263, 108, 61, 379, 270, 152, 155, 380, 398, 159, 211, 80, 253, 109, 59, 177, 244, 193, 381, 256, 249, 260, 167, 95, 290, 144, 250, 294, 247, 397, 216, 205, 148, 194, 382, 257, 198, 217, 370, 261, 145, 209, 414, 255, 416, 409, 52, 191, 339, 164, 202, 349, 410, 343, 199, 267, 406, 187, 225, 56, 140, 175, 355, 141, 340, 208, 190, 347, 219, 251, 142, 114, 137, 385, 378, 160, 273, 48, 195, 329, 135, 258, 407, 400, 81, 345, 252, 277, 395, 83, 203, 154, 264, 184, 192, 268, 271, 415, 383, 136, 248, 368, 259], [108, -95, -241, 108, 108, -239, 108, -228, 108, 108, 108, 108, 108, 108, -51, -54, -220, -90, 108, -55, 108, 108, -222, 108, -214, -216, -232, 108, 108, 108, -96, -53, -223, 108, -240, 108, 108, -97, -100, -226, 108, -50, 108, -210, -98, 108, -93, -233, 108, 108, 108, 108, 108, 108, 108, 108, 108, -219, -227, 108, -236, -94, -231, 108, -104, 108, -237, -218, 108, -215, 108, 108, 108, 108, -235, 108, 108, 108, -209, 108, 108, 108, -221, 108, 108, 108, 108, -91, 108, 108, -213, 108, 108, -212, 108, 108, 108, 108, -224, 108, 108, -230, 108, -217, -92, 108, 108, -52, 108, -225, 108, 108, 108, 108, -229, -234, 108, -211, -99, 108, -238]), '_BOOL': ([238, 88, 18, 138, 66, 50, 53, 135, 74, 236, 28, 12, 16, 2, 36, 3, 6, 388, 59, 280, 270, 288, 9, 357, 206, 13, 243, 82, 8, 197, 231, 33, 117, 171, 239, 328, 57, 222, 68, 32, 40, 354, 278, 168, 29, 134, 37, 279, 131, 118, 169, 261, 35, 164, 124, 26, 187, 0, 361, 340, 4, 52, 141, 60, 10, 359, 67, 1, 39, 38, 333, 5, 228, 232, 61, 287, 166, 15, 19, 360, 23, 173, 65, 24, 73, 281, 27, 48, 31, 55, 21, 284, 170], [16, 16, -131, 16, -139, -166, -157, -224, -248, -173, 16, -118, -123, 16, -129, 16, -122, -254, -223, -143, -222, -251, -125, -144, -250, -134, -220, 16, -124, -249, -172, -243, -255, -142, -170, 16, -247, 16, -138, -128, -121, -136, -244, 16, 16, -246, -130, 16, -171, -169, 16, -219, -126, -218, -174, -120, 16, -1, -253, -221, -164, -104, 16, 16, -119, -135, 16, 16, -165, -133, -156, -132, -155, 16, 16, 16, -245, -2, -127, -252, -3, 16, 16, -117, 16, -137, -167, 16, -242, 16, -168, -145, 16]), '%': ([424, 98, 311, 314, 86, 92, 103, 212, 293, 76, 111, 389, 75, 365, 110, 180, 299, 300, 296, 214, 91, 78, 319, 315, 100, 310, 183, 186, 297, 182, 367, 411, 79, 221, 421, 218, 318, 298, 364, 369, 156, 101, 143, 185, 317, 85, 181, 106, 105], [-35, -58, -6, -5, 192, -19, -4, -29, -21, -18, -49, -32, -20, -48, -43, -15, -61, -60, 192, -28, -11, -9, -24, -7, -16, -8, -44, -47, 192, -14, -25, -33, -56, -46, -34, -17, -27, -59, -57, -23, -4, -22, -56, -45, -26, -12, -16, -13, -10]), ')': ([29, 68, 106, 391, 12, 310, 348, 318, 131, 346, 179, 16, 70, 331, 309, 423, 97, 42, 392, 371, 6, 281, 130, 223, 369, 118, 161, 36, 304, 46, 299, 378, 231, 13, 311, 332, 342, 115, 127, 325, 44, 373, 92, 389, 75, 113, 419, 413, 84, 337, 316, 185, 38, 32, 86, 233, 296, 62, 344, 5, 53, 321, 375, 196, 224, 307, 354, 319, 239, 76, 399, 124, 420, 69, 292, 40, 88, 212, 100, 180, 27, 163, 24, 336, 78, 128, 303, 178, 55, 9, 333, 366, 174, 422, 323, 365, 403, 234, 102, 262, 182, 300, 317, 51, 312, 297, 93, 101, 72, 411, 295, 21, 90, 393, 293, 218, 71, 26, 417, 85, 338, 98, 313, 351, 143, 7, 236, 126, 418, 306, 214, 37, 8, 396, 110, 228, 363, 424, 404, 232, 181, 18, 3, 50, 326, 66, 176, 103, 129, 183, 320, 328, 405, 79, 216, 10, 39, 87, 394, 377, 43, 314, 390, 372, 91, 301, 19, 221, 367, 2, 105, 302, 235, 315, 82, 359, 298, 308, 145, 35, 125, 421, 45, 186, 188, 226, 327, 111, 271, 364, 374, 222, 4, 107], [-109, -138, -13, -31, -118, -8, 381, -27, -171, 379, 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'-': ([378, 300, 364, 83, 409, 252, 61, 98, 148, 247, 261, 311, 246, 248, 110, 315, 156, 424, 250, 310, 101, 78, 407, 81, 318, 183, 154, 180, 202, 329, 379, 296, 184, 177, 181, 203, 381, 190, 297, 347, 104, 76, 85, 48, 52, 368, 290, 355, 389, 415, 251, 285, 263, 302, 75, 79, 365, 383, 160, 155, 244, 249, 209, 144, 73, 187, 175, 182, 108, 243, 135, 254, 298, 340, 186, 205, 395, 185, 152, 159, 59, 106, 367, 385, 192, 370, 56, 398, 345, 253, 220, 256, 105, 219, 77, 267, 271, 95, 369, 421, 216, 262, 264, 414, 218, 294, 229, 217, 255, 273, 189, 265, 103, 91, 143, 225, 100, 164, 136, 380, 114, 397, 339, 109, 299, 145, 194, 212, 268, 349, 410, 258, 221, 193, 269, 257, 211, 270, 92, 84, 140, 241, 208, 293, 343, 260, 96, 259, 317, 141, 167, 138, 142, 406, 137, 341, 382, 301, 319, 80, 214, 195, 314, 416, 111, 411, 204, 277, 400, 199, 191, 198, 86], [109, -60, -57, -52, 109, -92, 109, -58, 109, -93, -219, -6, -95, -99, -43, -7, -4, -35, -98, -8, -22, -9, 109, 109, -27, -44, -225, -15, 109, 109, 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306, 318, 317, 103, 365, 369, 102, 98, 297, 181, 221, 315, 85, 214, 389, 304, 316, 78], [-22, -66, -73, -18, -72, -78, -35, 199, -21, -57, -49, -24, -20, -6, -33, -65, -63, -80, -62, -56, -44, -16, -60, -13, -67, -82, -19, -29, -25, -45, -5, -61, -10, -34, -43, -8, -69, -11, -74, -15, -47, -81, 199, -56, -75, -79, -4, -59, -68, -70, -17, -14, -71, -27, -26, -4, -48, -23, -76, -58, -64, -16, -46, -7, -12, -28, -32, -83, -77, -9]), ']': ([106, 304, 132, 342, 424, 316, 221, 317, 303, 182, 102, 76, 322, 296, 116, 113, 93, 344, 369, 421, 225, 364, 186, 365, 180, 218, 214, 302, 161, 72, 298, 292, 311, 107, 79, 86, 300, 318, 329, 309, 389, 105, 185, 301, 293, 183, 110, 315, 92, 312, 181, 75, 313, 308, 307, 85, 323, 163, 411, 392, 212, 101, 306, 314, 97, 87, 297, 330, 376, 310, 98, 78, 299, 103, 111, 367, 100, 56, 84, 319, 91, 90, 143], [-13, -83, 239, -89, -35, -77, -46, -26, -79, -14, -76, -18, 369, -63, -103, -86, -84, -102, -23, -34, 331, -57, -47, -48, -15, -17, -28, -67, -101, -82, -59, -81, -6, -78, -56, -62, -60, -27, 375, -70, -32, -10, -45, -66, -21, -44, -43, -7, -19, -75, -16, -20, -74, -72, -69, -12, -85, -88, -33, -87, -29, -22, -71, -5, -73, -68, -64, 377, 394, -8, -58, -9, -61, -4, -49, -25, -16, 131, -65, -24, -11, -80, -56]), 'IF': ([241, 260, 61, 262, 269, 145, 144, 141, 349, 159, 398, 244, 379, 400, 259, 415, 340, 341, 339, 164, 381, 140, 137, 380, 154, 261, 395, 148, 52, 409, 416, 406, 243, 160, 155, 383, 347, 271, 414, 264, 268, 397, 59, 407, 135, 136, 345, 270], [162, -226, 162, -228, -239, -227, -210, 162, -215, 162, -232, -240, 162, -230, -238, -234, -221, -241, -237, -218, 162, -209, -213, -216, -225, -219, 162, 162, -104, 162, -231, -235, -220, -212, -214, 162, 162, -229, -236, 162, 162, -233, -223, 162, -224, -211, -217, -222]), 'STRUCT': ([15, 354, 124, 238, 29, 39, 359, 48, 12, 74, 26, 131, 53, 171, 68, 138, 360, 21, 261, 170, 18, 88, 278, 37, 3, 27, 67, 31, 357, 59, 66, 32, 388, 231, 206, 38, 10, 270, 281, 16, 57, 187, 61, 284, 117, 1, 5, 164, 239, 173, 82, 134, 166, 36, 280, 222, 6, 73, 141, 279, 169, 328, 118, 55, 197, 28, 340, 50, 65, 228, 236, 0, 333, 287, 40, 4, 35, 19, 60, 9, 13, 361, 23, 135, 288, 24, 52, 168, 33, 232, 2, 8, 243], [-2, -136, -174, 34, 34, -165, -135, 34, -118, -248, -120, -171, -157, -142, -138, 34, -252, -168, -219, 34, -131, 34, -244, -130, 34, -167, 34, -242, -144, -223, -139, -128, -254, -172, -250, -133, -119, -222, -137, -123, -247, 34, 34, -145, -255, 34, -132, -218, -170, 34, 34, -246, -245, -129, -143, 34, -122, 34, 34, 34, 34, 34, -169, 34, -249, 34, -221, -166, 34, -155, -173, -1, -156, 34, -121, -164, -126, -127, 34, -125, -134, -253, -3, -224, -251, -117, -104, 34, -243, 34, 34, -124, -220]), 'PP_IDENTIFIER_PASTE': ([310, 100, 103, 156, 315], [207, 207, 210, 210, 207]), 'PP_DEFINE_NAME': ([11], [48]), 'FLOAT': ([13, 357, 88, 340, 29, 231, 53, 1, 35, 82, 39, 10, 279, 55, 173, 74, 239, 228, 9, 222, 360, 36, 141, 8, 32, 238, 135, 168, 281, 52, 278, 287, 24, 21, 134, 61, 50, 138, 187, 66, 23, 12, 6, 73, 28, 328, 124, 4, 0, 354, 206, 359, 388, 57, 3, 18, 19, 48, 166, 232, 164, 236, 65, 40, 170, 37, 26, 31, 333, 27, 261, 59, 243, 16, 2, 270, 197, 33, 288, 67, 169, 5, 60, 131, 280, 117, 15, 284, 171, 118, 361, 68, 38], [-134, -144, 32, -221, 32, -172, -157, 32, -126, 32, -165, -119, 32, 32, 32, -248, -170, -155, -125, 32, -252, -129, 32, -124, -128, 32, -224, 32, -137, -104, -244, 32, -117, -168, -246, 32, -166, 32, 32, -139, -3, -118, -122, 32, 32, 32, -174, -164, -1, -136, -250, -135, -254, -247, 32, -131, -127, 32, -245, 32, -218, -173, 32, -121, 32, -130, -120, -242, -156, -167, -219, -223, -220, -123, 32, -222, -249, -243, -251, 32, 32, -132, 32, -171, -143, -255, -2, -145, -142, -169, -253, -138, -133]), 'LEFT_ASSIGN': ([367, 101, 314, 365, 85, 421, 180, 186, 317, 221, 364, 79, 212, 369, 318, 218, 100, 78, 111, 319, 110, 424, 143, 389, 315, 293, 181, 106, 92, 185, 311, 411, 76, 183, 182, 310, 156, 105, 91, 214, 75, 103], [-25, -22, -5, -48, -12, -34, -15, -47, -26, -46, -57, -56, -29, -23, -27, -17, -16, -9, -49, -24, -43, -35, 253, -32, -7, -21, -16, -13, -19, -45, -6, -33, -18, -44, -14, -8, -4, -10, -11, -28, -20, -4]), '}': ([292, 181, 212, 269, 244, 221, 103, 261, 389, 303, 296, 98, 384, 398, 300, 102, 111, 367, 385, 364, 123, 85, 61, 341, 287, 148, 120, 154, 163, 260, 106, 401, 353, 160, 218, 137, 315, 279, 352, 319, 312, 87, 298, 271, 313, 84, 241, 214, 340, 302, 311, 79, 317, 380, 414, 357, 76, 411, 91, 136, 309, 397, 406, 122, 421, 323, 342, 243, 171, 135, 186, 392, 424, 280, 230, 284, 52, 299, 182, 308, 270, 339, 107, 141, 116, 93, 59, 349, 306, 90, 415, 105, 144, 400, 155, 145, 97, 140, 185, 158, 101, 227, 297, 110, 164, 301, 334, 310, 276, 78, 307, 316, 75, 365, 293, 259, 304, 72, 335, 121, 416, 314, 402, 100, 170, 143, 345, 318, 113, 86, 369, 183, 92, 180, 262], [-81, -16, -29, -239, -240, -46, -4, -219, -32, -79, -63, -58, -205, -232, -60, -76, -49, -25, 402, -57, -158, -12, 164, -241, 359, 261, -160, -225, -88, -226, -13, -208, 384, -212, -17, -213, -7, 354, -207, -24, -75, -68, -59, -229, -74, -65, 340, -28, -221, -67, -6, -56, -26, -216, -236, -144, -18, -33, -11, -211, -70, -233, -235, -162, -34, -85, -89, -220, -142, -224, -47, -87, -35, -143, -159, -145, -104, -61, -14, -72, -222, -237, -78, 243, -103, -84, -223, -215, -71, -80, -234, -10, -210, -230, -214, -227, -73, -209, -45, 270, -22, 333, -64, -43, -218, -66, -163, -8, -204, -9, -69, -77, -20, -48, -21, -238, -83, -82, -161, 228, -231, -5, -206, -16, 281, -56, -217, -27, -86, -62, -23, -44, -19, -15, -228])}
_lr_action = {}
for (_k, _v) in _lr_action_items.items():
for (_x, _y) in zip(_v[0], _v[1]):
_lr_action[_x, _k] = _y
del _lr_action_items
_lr_goto_items = {'expression_statement': ([395, 264, 347, 343, 409, 381, 258, 141, 148, 407, 379, 61, 159, 241, 383, 268], [136, 136, 136, 378, 136, 136, 343, 136, 136, 136, 136, 136, 136, 136, 136, 136]), 'storage_class_specifier': ([29, 141, 28, 222, 55, 60, 61, 232, 65, 2, 3, 328, 1, 238, 168], [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]), 'str_opt_expr_pair': ([422, 412, 413, 390], [404, 418, 404, 404]), 'constant': ([191, 152, 211, 329, 61, 187, 159, 407, 81, 409, 205, 273, 80, 277, 202, 56, 241, 114, 209, 379, 383, 203, 194, 395, 385, 378, 48, 368, 355, 268, 265, 190, 189, 229, 177, 225, 264, 204, 381, 370, 347, 193, 257, 198, 382, 220, 343, 217, 290, 216, 77, 142, 141, 267, 192, 258, 199, 73, 148, 175, 208, 195, 184, 410, 294, 219, 263, 138, 167, 285], [92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92, 92]), 'volatile_opt': ([94], [201]), 'unary_expression': ([273, 202, 208, 114, 209, 138, 192, 370, 229, 194, 263, 175, 198, 241, 265, 195, 184, 177, 410, 225, 187, 219, 409, 381, 148, 77, 407, 167, 189, 193, 257, 191, 382, 217, 152, 211, 290, 159, 142, 141, 385, 294, 379, 80, 258, 285, 368, 73, 203, 268, 56, 347, 383, 329, 204, 395, 48, 355, 205, 343, 277, 190, 264, 216, 61, 267, 81, 199, 220, 378], [143, 79, 79, 79, 79, 143, 79, 79, 79, 79, 143, 79, 79, 143, 143, 79, 143, 79, 143, 79, 143, 79, 143, 143, 143, 183, 143, 143, 79, 79, 143, 79, 143, 143, 79, 79, 79, 143, 143, 143, 143, 79, 143, 185, 143, 79, 143, 143, 79, 143, 79, 143, 143, 79, 79, 143, 79, 79, 79, 143, 143, 79, 143, 143, 143, 143, 186, 79, 143, 143]), 'struct_or_union_specifier': ([138, 2, 168, 88, 169, 222, 67, 65, 328, 187, 48, 55, 1, 279, 238, 82, 28, 73, 232, 141, 61, 3, 287, 60, 170, 29, 173], [5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5]), 'exclusive_or_expression': ([329, 355, 148, 73, 264, 184, 219, 152, 216, 407, 229, 48, 141, 285, 61, 410, 138, 370, 343, 267, 187, 167, 257, 217, 177, 241, 347, 159, 383, 199, 382, 395, 379, 220, 56, 381, 277, 385, 378, 290, 263, 268, 273, 258, 368, 175, 142, 225, 265, 409], [90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 292, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90, 90]), 'identifier_list': ([55], [129]), 'define': ([1], [23]), 'initializer': ([385, 277, 167], [401, 352, 275]), 'macro_param': ([329, 225, 167, 208, 56, 81, 191, 148, 193, 273, 257, 294, 203, 159, 381, 209, 385, 395, 343, 355, 194, 378, 265, 383, 177, 80, 205, 189, 190, 410, 219, 229, 75, 175, 264, 216, 241, 142, 192, 202, 217, 220, 48, 211, 114, 409, 187, 267, 368, 285, 277, 290, 184, 73, 258, 268, 77, 195, 61, 141, 198, 382, 407, 347, 138, 199, 204, 263, 152, 370, 379], [106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 180, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106, 106]), 'struct_declaration_list': ([173, 67, 169], [287, 170, 279]), 'macro_parameter_list': ([71], [176]), 'enumerator': ([54, 119, 230], [120, 120, 335]), 'declaration_list': ([61, 28, 65], [141, 60, 168]), 'iteration_statement': ([148, 264, 407, 395, 383, 61, 159, 241, 379, 381, 347, 141, 268, 409], [137, 137, 137, 137, 137, 137, 137, 137, 137, 137, 137, 137, 137, 137]), 'additive_expression': ([265, 329, 355, 217, 220, 229, 395, 257, 73, 264, 142, 138, 208, 285, 61, 268, 381, 195, 56, 277, 343, 290, 152, 216, 407, 199, 209, 48, 383, 241, 148, 187, 382, 410, 141, 205, 370, 203, 204, 347, 379, 263, 184, 368, 219, 409, 167, 202, 378, 211, 159, 194, 258, 267, 175, 273, 385, 225, 177, 198], [84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 302, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 84, 301, 84, 84, 84, 84, 84, 84, 84, 84]), 'assignment_expression': ([167, 216, 258, 265, 220, 148, 347, 264, 184, 217, 410, 241, 263, 381, 383, 407, 378, 267, 385, 187, 409, 379, 277, 73, 273, 268, 159, 257, 141, 61, 395, 382, 343, 142, 368, 138], [276, 320, 161, 161, 161, 161, 161, 161, 161, 161, 161, 161, 344, 161, 161, 161, 161, 161, 276, 161, 161, 161, 276, 161, 161, 161, 161, 342, 161, 161, 161, 161, 161, 161, 391, 161]), 'external_declaration': ([1], [15]), 'type_specifier': ([67, 29, 28, 328, 88, 279, 48, 173, 232, 238, 141, 222, 3, 60, 82, 287, 65, 138, 61, 73, 168, 169, 1, 55, 187, 170, 2], [82, 29, 29, 29, 82, 82, 82, 82, 29, 29, 29, 29, 29, 29, 82, 82, 29, 82, 29, 82, 29, 82, 29, 29, 82, 82, 29]), 'compound_statement': ([60, 264, 409, 383, 159, 268, 241, 65, 347, 141, 61, 381, 407, 148, 379, 168, 28, 395], [134, 144, 144, 144, 144, 144, 144, 166, 144, 144, 144, 144, 144, 144, 144, 278, 57, 144]), 'inclusive_or_expression': ([73, 407, 152, 409, 329, 379, 167, 385, 184, 368, 61, 395, 175, 48, 148, 241, 347, 159, 268, 277, 370, 199, 220, 56, 225, 216, 267, 378, 343, 219, 258, 265, 383, 381, 229, 285, 410, 217, 263, 257, 355, 290, 138, 142, 264, 382, 141, 187, 273], [72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 304, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72, 72]), 'pointer': ([58, 44, 165, 17, 232, 358, 7, 172, 30, 128, 115, 1, 222], [14, 70, 14, 14, 235, 14, 46, 14, 14, 235, 226, 14, 226]), 'selection_statement': ([407, 141, 61, 347, 159, 268, 148, 241, 264, 409, 395, 379, 381, 383], [160, 160, 160, 160, 160, 160, 160, 160, 160, 160, 160, 160, 160, 160]), 'postfix_expression': ([73, 192, 294, 56, 199, 194, 263, 187, 383, 378, 175, 77, 217, 141, 152, 189, 285, 159, 219, 142, 193, 257, 329, 355, 81, 395, 379, 268, 381, 205, 202, 190, 410, 204, 61, 241, 290, 208, 148, 229, 407, 277, 265, 114, 184, 409, 203, 138, 267, 216, 343, 198, 264, 191, 347, 382, 211, 48, 220, 177, 368, 273, 225, 385, 195, 370, 167, 80, 258, 209], [110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110, 110]), 'asm_expression': ([290, 241, 56, 142, 395, 273, 385, 202, 141, 205, 48, 378, 204, 265, 329, 268, 383, 199, 80, 198, 184, 192, 148, 343, 194, 73, 159, 370, 229, 258, 187, 257, 225, 189, 138, 114, 407, 211, 219, 177, 263, 285, 355, 209, 175, 203, 277, 379, 264, 195, 220, 409, 152, 347, 216, 193, 267, 382, 190, 61, 167, 410, 368, 381, 81, 77, 208, 217, 294, 191], [111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111, 111]), 'declaration_impl': ([28, 168, 65, 61, 141, 1, 60], [20, 20, 20, 20, 20, 20, 20]), 'and_expression': ([370, 167, 217, 152, 285, 198, 73, 219, 381, 385, 383, 273, 257, 61, 141, 199, 290, 343, 263, 184, 329, 264, 410, 56, 379, 395, 268, 159, 347, 241, 225, 409, 148, 277, 216, 229, 265, 187, 138, 378, 267, 220, 355, 175, 142, 258, 382, 48, 177, 368, 407], [107, 107, 107, 107, 107, 303, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107, 107]), 'type_name': ([73, 48, 138, 187], [179, 89, 179, 295]), 'relational_expression': ([378, 73, 241, 217, 264, 382, 263, 48, 211, 225, 285, 258, 381, 177, 347, 268, 159, 368, 175, 273, 219, 329, 409, 343, 138, 184, 56, 209, 355, 257, 142, 148, 187, 370, 267, 277, 198, 395, 216, 152, 379, 410, 220, 61, 383, 141, 167, 199, 208, 265, 385, 407, 229, 290], [97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 313, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 97, 312, 97, 97, 97, 97, 97]), 'statement': ([264, 407, 381, 347, 379, 148, 409, 159, 241, 395, 61, 141, 268, 383], [345, 414, 398, 380, 397, 260, 416, 272, 260, 406, 154, 154, 349, 400]), 'cast_expression': ([395, 407, 217, 385, 159, 347, 229, 202, 177, 257, 211, 343, 189, 193, 273, 73, 285, 258, 209, 198, 216, 184, 264, 114, 194, 382, 203, 378, 409, 205, 219, 187, 267, 138, 381, 329, 208, 220, 195, 56, 142, 268, 61, 141, 175, 148, 379, 370, 192, 204, 152, 191, 241, 48, 190, 225, 294, 410, 199, 167, 290, 265, 383, 368, 277, 263, 355], [98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 300, 98, 98, 98, 98, 98, 98, 98, 98, 98, 221, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98, 299, 98, 98, 298, 98, 98, 98, 98, 364, 98, 98, 98, 98, 98, 98, 98, 98, 98, 98]), 'init_declarator': ([58, 165, 30], [63, 274, 63]), 'struct_declarator_list': ([172], [286]), 'logical_or_expression': ([343, 407, 265, 217, 285, 395, 347, 258, 273, 257, 410, 138, 184, 378, 264, 73, 381, 216, 142, 382, 268, 61, 141, 187, 267, 175, 220, 370, 148, 48, 409, 56, 167, 379, 152, 263, 329, 290, 241, 225, 383, 385, 277, 368, 159, 229, 355], [113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113, 113]), 'unary_operator': ([77, 141, 241, 148, 277, 159, 192, 407, 56, 184, 194, 409, 294, 203, 187, 217, 205, 189, 198, 219, 202, 142, 382, 190, 211, 220, 204, 368, 273, 257, 225, 258, 167, 208, 379, 385, 229, 265, 114, 138, 378, 267, 175, 290, 61, 285, 191, 355, 370, 343, 48, 193, 177, 329, 152, 195, 81, 80, 209, 264, 395, 216, 73, 268, 381, 199, 263, 410, 347, 383], [114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114, 114]), 'translation_unit': ([0], [1]), 'struct_or_union': ([55, 141, 3, 88, 173, 232, 170, 287, 328, 48, 60, 2, 61, 82, 238, 138, 67, 222, 169, 29, 187, 279, 168, 1, 28, 73, 65], [41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41, 41]), 'type_qualifier_list': ([7], [44]), 'struct_declaration': ([279, 169, 67, 287, 173, 170], [280, 171, 171, 280, 171, 280]), 'string_literal': ([203, 148, 381, 265, 220, 216, 395, 202, 294, 382, 80, 219, 412, 347, 77, 241, 211, 167, 192, 410, 189, 142, 56, 184, 370, 217, 422, 263, 198, 285, 205, 383, 152, 379, 175, 190, 195, 390, 75, 407, 264, 177, 277, 290, 378, 225, 208, 191, 114, 267, 355, 187, 409, 329, 204, 258, 343, 368, 193, 138, 199, 159, 268, 257, 141, 48, 229, 61, 385, 305, 81, 194, 413, 209, 73, 273], [85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 403, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 403, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 403, 182, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 85, 366, 85, 85, 403, 85, 85, 85]), 'parameter_type_list': ([222, 232, 328, 55], [326, 326, 374, 126]), 'parameter_declaration': ([328, 232, 238, 55, 222], [127, 127, 338, 127, 127]), 'multiplicative_expression': ([381, 167, 61, 195, 355, 204, 138, 379, 203, 409, 198, 175, 177, 258, 285, 277, 225, 187, 219, 211, 268, 48, 194, 148, 142, 257, 73, 378, 56, 395, 202, 229, 407, 159, 189, 209, 343, 385, 329, 273, 265, 208, 368, 290, 382, 205, 141, 184, 199, 383, 220, 190, 264, 410, 216, 217, 152, 241, 370, 267, 347, 263], [86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 296, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86, 297, 86, 86, 86, 86, 86, 86, 86, 86, 86, 86]), 'declarator': ([232, 165, 1, 30, 128, 58, 172, 17, 358], [51, 133, 28, 65, 234, 133, 283, 51, 283]), 'argument_expression_list': ([216], [321]), 'str_opt_expr_pair_list': ([390, 413, 422], [405, 419, 423]), 'statement_list': ([61, 141], [148, 241]), 'constant_expression': ([48, 290, 56, 175, 225, 285, 152, 329, 355, 229], [99, 362, 132, 289, 330, 356, 266, 376, 386, 334]), 'enumerator_list_iso': ([54, 119], [123, 123]), 'primary_expression': ([385, 73, 187, 220, 370, 267, 277, 199, 191, 209, 204, 241, 347, 208, 257, 48, 211, 205, 159, 355, 194, 379, 219, 61, 141, 175, 290, 329, 198, 343, 216, 138, 184, 56, 264, 265, 294, 152, 410, 285, 192, 258, 407, 229, 202, 77, 381, 378, 148, 273, 268, 409, 395, 80, 81, 382, 195, 225, 177, 142, 203, 368, 114, 190, 193, 217, 383, 189, 167, 263], [101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101, 101]), 'declaration_specifiers': ([29, 222, 238, 232, 28, 168, 328, 60, 1, 61, 141, 55, 65, 3, 2], [62, 128, 128, 128, 58, 58, 128, 58, 30, 58, 58, 128, 58, 43, 42]), 'declaration': ([141, 60, 1, 168, 65, 28, 61], [135, 135, 31, 135, 59, 59, 59]), 'direct_declarator': ([172, 1, 128, 235, 14, 30, 358, 232, 58, 17, 165], [27, 27, 27, 50, 50, 27, 27, 27, 27, 27, 27]), 'logical_and_expression': ([347, 56, 407, 355, 138, 378, 61, 141, 379, 395, 290, 220, 48, 175, 263, 410, 258, 285, 277, 225, 187, 267, 73, 229, 142, 381, 329, 273, 265, 167, 368, 343, 385, 383, 184, 264, 241, 409, 370, 268, 216, 217, 152, 219, 148, 257, 159, 382], [93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 93, 323, 93, 93, 93, 93]), 'init_declarator_list': ([58, 30], [64, 64]), 'shift_expression': ([208, 229, 211, 378, 241, 184, 216, 410, 285, 141, 409, 379, 217, 395, 265, 263, 202, 257, 56, 167, 199, 187, 219, 159, 258, 370, 264, 209, 175, 220, 205, 385, 142, 225, 329, 273, 368, 383, 347, 355, 177, 48, 343, 152, 267, 382, 407, 198, 277, 148, 61, 290, 204, 203, 73, 381, 268, 138], [87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 306, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 309, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 87, 308, 307, 87, 87, 87, 87]), 'equality_expression': ([48, 268, 381, 378, 343, 368, 216, 267, 56, 199, 385, 225, 177, 198, 383, 265, 355, 241, 217, 148, 229, 395, 257, 347, 409, 61, 379, 277, 184, 290, 152, 167, 407, 211, 159, 258, 175, 273, 187, 382, 329, 141, 220, 73, 264, 370, 142, 138, 263, 285, 219, 410], [102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 316, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102, 102]), 'jump_statement': ([264, 159, 381, 379, 347, 407, 141, 268, 241, 148, 61, 395, 383, 409], [155, 155, 155, 155, 155, 155, 155, 155, 155, 155, 155, 155, 155, 155]), 'struct_declarator': ([358, 172], [387, 282]), 'function_definition': ([1], [33]), 'parameter_list': ([328, 222, 55, 232], [130, 130, 130, 130]), 'enum_specifier': ([82, 170, 29, 168, 61, 1, 3, 88, 48, 222, 169, 232, 65, 287, 60, 238, 173, 28, 328, 67, 187, 141, 73, 279, 138, 55, 2], [38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38, 38]), 'type_qualifier': ([187, 55, 88, 82, 44, 28, 169, 328, 238, 279, 65, 173, 222, 60, 141, 7, 287, 2, 138, 73, 232, 29, 168, 67, 3, 61, 48, 170, 1], [88, 3, 88, 88, 69, 3, 88, 3, 3, 88, 3, 88, 3, 3, 3, 45, 88, 3, 88, 88, 3, 3, 3, 88, 3, 3, 88, 88, 3]), 'enumerator_list': ([119, 54], [227, 121]), 'labeled_statement': ([141, 148, 395, 407, 61, 383, 379, 159, 268, 241, 347, 264, 409, 381], [140, 140, 140, 140, 140, 140, 140, 140, 140, 140, 140, 140, 140, 140]), 'abstract_declarator': ([115, 222, 232, 128], [223, 327, 327, 233]), 'specifier_qualifier_list': ([169, 170, 173, 48, 279, 73, 187, 138, 287, 88, 82, 67], [172, 172, 172, 115, 172, 115, 115, 115, 172, 196, 188, 172]), 'multi_string_literal': ([205, 267, 138, 203, 184, 114, 265, 229, 343, 290, 81, 410, 385, 61, 257, 204, 193, 192, 347, 190, 142, 202, 381, 159, 219, 268, 285, 379, 152, 395, 217, 294, 209, 264, 263, 194, 199, 407, 241, 355, 258, 80, 195, 189, 141, 77, 175, 273, 382, 220, 378, 383, 187, 56, 73, 198, 216, 167, 370, 277, 148, 409, 225, 329, 368, 177, 48, 211, 208, 191], [75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75]), 'assignment_operator': ([143], [257]), 'initializer_list': ([277], [353]), 'conditional_expression': ([257, 56, 217, 285, 187, 265, 141, 258, 241, 148, 48, 385, 216, 368, 273, 184, 329, 159, 378, 343, 267, 407, 73, 225, 263, 410, 370, 277, 268, 382, 264, 167, 175, 152, 395, 409, 138, 61, 290, 355, 229, 220, 381, 383, 142, 379, 347], [163, 116, 163, 116, 163, 163, 163, 163, 163, 163, 116, 163, 163, 163, 163, 163, 116, 163, 163, 163, 163, 163, 163, 116, 163, 163, 392, 163, 163, 163, 163, 163, 116, 116, 163, 163, 163, 163, 116, 116, 116, 163, 163, 163, 163, 163, 163]), 'direct_abstract_declarator': ([115, 235, 226, 128, 232, 222], [224, 332, 332, 224, 224, 224]), 'identifier': ([205, 410, 368, 285, 407, 294, 195, 56, 264, 208, 203, 277, 355, 273, 175, 263, 199, 258, 81, 207, 148, 385, 267, 61, 141, 77, 329, 290, 220, 210, 167, 73, 193, 219, 381, 204, 382, 138, 347, 225, 177, 265, 229, 48, 184, 187, 378, 189, 192, 216, 383, 209, 217, 343, 409, 114, 190, 241, 202, 198, 257, 80, 142, 370, 159, 211, 152, 268, 191, 379, 395, 194], [76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 311, 76, 76, 76, 76, 76, 76, 76, 76, 76, 314, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76, 76]), 'expression': ([378, 73, 187, 381, 343, 409, 265, 61, 268, 379, 347, 264, 267, 142, 273, 383, 138, 410, 258, 141, 159, 148, 382, 184, 217, 395, 220, 407, 241], [396, 178, 178, 149, 149, 149, 346, 149, 149, 149, 149, 149, 348, 245, 351, 149, 178, 417, 149, 149, 149, 149, 399, 178, 322, 149, 324, 149, 149])}
_lr_goto = {}
for (_k, _v) in _lr_goto_items.items():
for (_x, _y) in zip(_v[0], _v[1]):
_lr_goto[_x, _k] = _y
del _lr_goto_items
_lr_productions = [("S'", 1, None, None, None), ('translation_unit', 0, 'p_translation_unit', 'ctypesgencore/parser/cgrammar.py', 57), ('translation_unit', 2, 'p_translation_unit', 'ctypesgencore/parser/cgrammar.py', 58), ('translation_unit', 2, 'p_translation_unit', 'ctypesgencore/parser/cgrammar.py', 59), ('identifier', 1, 'p_identifier', 'ctypesgencore/parser/cgrammar.py', 67), ('identifier', 3, 'p_identifier', 'ctypesgencore/parser/cgrammar.py', 68), ('identifier', 3, 'p_identifier', 'ctypesgencore/parser/cgrammar.py', 69), ('identifier', 3, 'p_identifier', 'ctypesgencore/parser/cgrammar.py', 70), ('identifier', 3, 'p_identifier', 'ctypesgencore/parser/cgrammar.py', 71), ('constant', 1, 'p_constant', 'ctypesgencore/parser/cgrammar.py', 87), ('constant', 1, 'p_constant', 'ctypesgencore/parser/cgrammar.py', 88), ('string_literal', 1, 'p_string_literal', 'ctypesgencore/parser/cgrammar.py', 111), ('multi_string_literal', 1, 'p_multi_string_literal', 'ctypesgencore/parser/cgrammar.py', 115), ('multi_string_literal', 1, 'p_multi_string_literal', 'ctypesgencore/parser/cgrammar.py', 116), ('multi_string_literal', 2, 'p_multi_string_literal', 'ctypesgencore/parser/cgrammar.py', 117), ('multi_string_literal', 2, 'p_multi_string_literal', 'ctypesgencore/parser/cgrammar.py', 118), ('macro_param', 1, 'p_macro_param', 'ctypesgencore/parser/cgrammar.py', 127), ('macro_param', 2, 'p_macro_param', 'ctypesgencore/parser/cgrammar.py', 128), ('primary_expression', 1, 'p_primary_expression', 'ctypesgencore/parser/cgrammar.py', 136), ('primary_expression', 1, 'p_primary_expression', 'ctypesgencore/parser/cgrammar.py', 137), ('primary_expression', 1, 'p_primary_expression', 'ctypesgencore/parser/cgrammar.py', 138), ('primary_expression', 3, 'p_primary_expression', 'ctypesgencore/parser/cgrammar.py', 139), ('postfix_expression', 1, 'p_postfix_expression', 'ctypesgencore/parser/cgrammar.py', 147), ('postfix_expression', 4, 'p_postfix_expression', 'ctypesgencore/parser/cgrammar.py', 148), ('postfix_expression', 3, 'p_postfix_expression', 'ctypesgencore/parser/cgrammar.py', 149), ('postfix_expression', 4, 'p_postfix_expression', 'ctypesgencore/parser/cgrammar.py', 150), ('postfix_expression', 3, 'p_postfix_expression', 'ctypesgencore/parser/cgrammar.py', 151), ('postfix_expression', 3, 'p_postfix_expression', 'ctypesgencore/parser/cgrammar.py', 152), ('postfix_expression', 2, 'p_postfix_expression', 'ctypesgencore/parser/cgrammar.py', 153), ('postfix_expression', 2, 'p_postfix_expression', 'ctypesgencore/parser/cgrammar.py', 154), ('argument_expression_list', 1, 'p_argument_expression_list', 'ctypesgencore/parser/cgrammar.py', 187), ('argument_expression_list', 3, 'p_argument_expression_list', 'ctypesgencore/parser/cgrammar.py', 188), ('asm_expression', 5, 'p_asm_expression', 'ctypesgencore/parser/cgrammar.py', 197), ('asm_expression', 7, 'p_asm_expression', 'ctypesgencore/parser/cgrammar.py', 198), ('asm_expression', 9, 'p_asm_expression', 'ctypesgencore/parser/cgrammar.py', 199), ('asm_expression', 11, 'p_asm_expression', 'ctypesgencore/parser/cgrammar.py', 200), ('str_opt_expr_pair_list', 0, 'p_str_opt_expr_pair_list', 'ctypesgencore/parser/cgrammar.py', 212), ('str_opt_expr_pair_list', 1, 'p_str_opt_expr_pair_list', 'ctypesgencore/parser/cgrammar.py', 213), ('str_opt_expr_pair_list', 3, 'p_str_opt_expr_pair_list', 'ctypesgencore/parser/cgrammar.py', 214), ('str_opt_expr_pair', 1, 'p_str_opt_expr_pair', 'ctypesgencore/parser/cgrammar.py', 218), ('str_opt_expr_pair', 4, 'p_str_opt_expr_pair', 'ctypesgencore/parser/cgrammar.py', 219), ('volatile_opt', 0, 'p_volatile_opt', 'ctypesgencore/parser/cgrammar.py', 223), ('volatile_opt', 1, 'p_volatile_opt', 'ctypesgencore/parser/cgrammar.py', 224), ('unary_expression', 1, 'p_unary_expression', 'ctypesgencore/parser/cgrammar.py', 239), ('unary_expression', 2, 'p_unary_expression', 'ctypesgencore/parser/cgrammar.py', 240), ('unary_expression', 2, 'p_unary_expression', 'ctypesgencore/parser/cgrammar.py', 241), ('unary_expression', 2, 'p_unary_expression', 'ctypesgencore/parser/cgrammar.py', 242), ('unary_expression', 2, 'p_unary_expression', 'ctypesgencore/parser/cgrammar.py', 243), ('unary_expression', 4, 'p_unary_expression', 'ctypesgencore/parser/cgrammar.py', 244), ('unary_expression', 1, 'p_unary_expression', 'ctypesgencore/parser/cgrammar.py', 245), ('unary_operator', 1, 'p_unary_operator', 'ctypesgencore/parser/cgrammar.py', 262), ('unary_operator', 1, 'p_unary_operator', 'ctypesgencore/parser/cgrammar.py', 263), ('unary_operator', 1, 'p_unary_operator', 'ctypesgencore/parser/cgrammar.py', 264), ('unary_operator', 1, 'p_unary_operator', 'ctypesgencore/parser/cgrammar.py', 265), ('unary_operator', 1, 'p_unary_operator', 'ctypesgencore/parser/cgrammar.py', 266), ('unary_operator', 1, 'p_unary_operator', 'ctypesgencore/parser/cgrammar.py', 267), ('cast_expression', 1, 'p_cast_expression', 'ctypesgencore/parser/cgrammar.py', 272), ('cast_expression', 4, 'p_cast_expression', 'ctypesgencore/parser/cgrammar.py', 273), ('multiplicative_expression', 1, 'p_multiplicative_expression', 'ctypesgencore/parser/cgrammar.py', 287), ('multiplicative_expression', 3, 'p_multiplicative_expression', 'ctypesgencore/parser/cgrammar.py', 288), ('multiplicative_expression', 3, 'p_multiplicative_expression', 'ctypesgencore/parser/cgrammar.py', 289), ('multiplicative_expression', 3, 'p_multiplicative_expression', 'ctypesgencore/parser/cgrammar.py', 290), ('additive_expression', 1, 'p_additive_expression', 'ctypesgencore/parser/cgrammar.py', 305), ('additive_expression', 3, 'p_additive_expression', 'ctypesgencore/parser/cgrammar.py', 306), ('additive_expression', 3, 'p_additive_expression', 'ctypesgencore/parser/cgrammar.py', 307), ('shift_expression', 1, 'p_shift_expression', 'ctypesgencore/parser/cgrammar.py', 322), ('shift_expression', 3, 'p_shift_expression', 'ctypesgencore/parser/cgrammar.py', 323), ('shift_expression', 3, 'p_shift_expression', 'ctypesgencore/parser/cgrammar.py', 324), ('relational_expression', 1, 'p_relational_expression', 'ctypesgencore/parser/cgrammar.py', 341), ('relational_expression', 3, 'p_relational_expression', 'ctypesgencore/parser/cgrammar.py', 342), ('relational_expression', 3, 'p_relational_expression', 'ctypesgencore/parser/cgrammar.py', 343), ('relational_expression', 3, 'p_relational_expression', 'ctypesgencore/parser/cgrammar.py', 344), ('relational_expression', 3, 'p_relational_expression', 'ctypesgencore/parser/cgrammar.py', 345), ('equality_expression', 1, 'p_equality_expression', 'ctypesgencore/parser/cgrammar.py', 360), ('equality_expression', 3, 'p_equality_expression', 'ctypesgencore/parser/cgrammar.py', 361), ('equality_expression', 3, 'p_equality_expression', 'ctypesgencore/parser/cgrammar.py', 362), ('and_expression', 1, 'p_and_expression', 'ctypesgencore/parser/cgrammar.py', 372), ('and_expression', 3, 'p_and_expression', 'ctypesgencore/parser/cgrammar.py', 373), ('exclusive_or_expression', 1, 'p_exclusive_or_expression', 'ctypesgencore/parser/cgrammar.py', 382), ('exclusive_or_expression', 3, 'p_exclusive_or_expression', 'ctypesgencore/parser/cgrammar.py', 383), ('inclusive_or_expression', 1, 'p_inclusive_or_expression', 'ctypesgencore/parser/cgrammar.py', 392), ('inclusive_or_expression', 3, 'p_inclusive_or_expression', 'ctypesgencore/parser/cgrammar.py', 393), ('logical_and_expression', 1, 'p_logical_and_expression', 'ctypesgencore/parser/cgrammar.py', 402), ('logical_and_expression', 3, 'p_logical_and_expression', 'ctypesgencore/parser/cgrammar.py', 403), ('logical_or_expression', 1, 'p_logical_or_expression', 'ctypesgencore/parser/cgrammar.py', 412), ('logical_or_expression', 3, 'p_logical_or_expression', 'ctypesgencore/parser/cgrammar.py', 413), ('conditional_expression', 1, 'p_conditional_expression', 'ctypesgencore/parser/cgrammar.py', 422), ('conditional_expression', 5, 'p_conditional_expression', 'ctypesgencore/parser/cgrammar.py', 423), ('assignment_expression', 1, 'p_assignment_expression', 'ctypesgencore/parser/cgrammar.py', 444), ('assignment_expression', 3, 'p_assignment_expression', 'ctypesgencore/parser/cgrammar.py', 445), ('assignment_operator', 1, 'p_assignment_operator', 'ctypesgencore/parser/cgrammar.py', 460), ('assignment_operator', 1, 'p_assignment_operator', 'ctypesgencore/parser/cgrammar.py', 461), ('assignment_operator', 1, 'p_assignment_operator', 'ctypesgencore/parser/cgrammar.py', 462), ('assignment_operator', 1, 'p_assignment_operator', 'ctypesgencore/parser/cgrammar.py', 463), ('assignment_operator', 1, 'p_assignment_operator', 'ctypesgencore/parser/cgrammar.py', 464), ('assignment_operator', 1, 'p_assignment_operator', 'ctypesgencore/parser/cgrammar.py', 465), ('assignment_operator', 1, 'p_assignment_operator', 'ctypesgencore/parser/cgrammar.py', 466), ('assignment_operator', 1, 'p_assignment_operator', 'ctypesgencore/parser/cgrammar.py', 467), ('assignment_operator', 1, 'p_assignment_operator', 'ctypesgencore/parser/cgrammar.py', 468), ('assignment_operator', 1, 'p_assignment_operator', 'ctypesgencore/parser/cgrammar.py', 469), ('assignment_operator', 1, 'p_assignment_operator', 'ctypesgencore/parser/cgrammar.py', 470), ('expression', 1, 'p_expression', 'ctypesgencore/parser/cgrammar.py', 475), ('expression', 3, 'p_expression', 'ctypesgencore/parser/cgrammar.py', 476), ('constant_expression', 1, 'p_constant_expression', 'ctypesgencore/parser/cgrammar.py', 482), ('declaration', 2, 'p_declaration', 'ctypesgencore/parser/cgrammar.py', 487), ('declaration_impl', 1, 'p_declaration_impl', 'ctypesgencore/parser/cgrammar.py', 494), ('declaration_impl', 2, 'p_declaration_impl', 'ctypesgencore/parser/cgrammar.py', 495), ('declaration_specifiers', 1, 'p_declaration_specifiers', 'ctypesgencore/parser/cgrammar.py', 519), ('declaration_specifiers', 2, 'p_declaration_specifiers', 'ctypesgencore/parser/cgrammar.py', 520), ('declaration_specifiers', 1, 'p_declaration_specifiers', 'ctypesgencore/parser/cgrammar.py', 521), ('declaration_specifiers', 2, 'p_declaration_specifiers', 'ctypesgencore/parser/cgrammar.py', 522), ('declaration_specifiers', 1, 'p_declaration_specifiers', 'ctypesgencore/parser/cgrammar.py', 523), ('declaration_specifiers', 2, 'p_declaration_specifiers', 'ctypesgencore/parser/cgrammar.py', 524), ('init_declarator_list', 1, 'p_init_declarator_list', 'ctypesgencore/parser/cgrammar.py', 532), ('init_declarator_list', 3, 'p_init_declarator_list', 'ctypesgencore/parser/cgrammar.py', 533), ('init_declarator', 1, 'p_init_declarator', 'ctypesgencore/parser/cgrammar.py', 541), ('init_declarator', 3, 'p_init_declarator', 'ctypesgencore/parser/cgrammar.py', 542), ('storage_class_specifier', 1, 'p_storage_class_specifier', 'ctypesgencore/parser/cgrammar.py', 549), ('storage_class_specifier', 1, 'p_storage_class_specifier', 'ctypesgencore/parser/cgrammar.py', 550), ('storage_class_specifier', 1, 'p_storage_class_specifier', 'ctypesgencore/parser/cgrammar.py', 551), ('storage_class_specifier', 1, 'p_storage_class_specifier', 'ctypesgencore/parser/cgrammar.py', 552), ('storage_class_specifier', 1, 'p_storage_class_specifier', 'ctypesgencore/parser/cgrammar.py', 553), ('type_specifier', 1, 'p_type_specifier', 'ctypesgencore/parser/cgrammar.py', 558), ('type_specifier', 1, 'p_type_specifier', 'ctypesgencore/parser/cgrammar.py', 559), ('type_specifier', 1, 'p_type_specifier', 'ctypesgencore/parser/cgrammar.py', 560), ('type_specifier', 1, 'p_type_specifier', 'ctypesgencore/parser/cgrammar.py', 561), ('type_specifier', 1, 'p_type_specifier', 'ctypesgencore/parser/cgrammar.py', 562), ('type_specifier', 1, 'p_type_specifier', 'ctypesgencore/parser/cgrammar.py', 563), ('type_specifier', 1, 'p_type_specifier', 'ctypesgencore/parser/cgrammar.py', 564), ('type_specifier', 1, 'p_type_specifier', 'ctypesgencore/parser/cgrammar.py', 565), ('type_specifier', 1, 'p_type_specifier', 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('struct_or_union', 1, 'p_struct_or_union', 'ctypesgencore/parser/cgrammar.py', 600), ('struct_declaration_list', 1, 'p_struct_declaration_list', 'ctypesgencore/parser/cgrammar.py', 605), ('struct_declaration_list', 2, 'p_struct_declaration_list', 'ctypesgencore/parser/cgrammar.py', 606), ('struct_declaration', 3, 'p_struct_declaration', 'ctypesgencore/parser/cgrammar.py', 614), ('struct_declaration', 2, 'p_struct_declaration', 'ctypesgencore/parser/cgrammar.py', 615), ('specifier_qualifier_list', 2, 'p_specifier_qualifier_list', 'ctypesgencore/parser/cgrammar.py', 635), ('specifier_qualifier_list', 1, 'p_specifier_qualifier_list', 'ctypesgencore/parser/cgrammar.py', 636), ('specifier_qualifier_list', 2, 'p_specifier_qualifier_list', 'ctypesgencore/parser/cgrammar.py', 637), ('specifier_qualifier_list', 1, 'p_specifier_qualifier_list', 'ctypesgencore/parser/cgrammar.py', 638), ('struct_declarator_list', 1, 'p_struct_declarator_list', 'ctypesgencore/parser/cgrammar.py', 647), ('struct_declarator_list', 3, 'p_struct_declarator_list', 'ctypesgencore/parser/cgrammar.py', 648), ('struct_declarator', 1, 'p_struct_declarator', 'ctypesgencore/parser/cgrammar.py', 656), ('struct_declarator', 2, 'p_struct_declarator', 'ctypesgencore/parser/cgrammar.py', 657), ('struct_declarator', 3, 'p_struct_declarator', 'ctypesgencore/parser/cgrammar.py', 658), ('enum_specifier', 4, 'p_enum_specifier', 'ctypesgencore/parser/cgrammar.py', 669), ('enum_specifier', 5, 'p_enum_specifier', 'ctypesgencore/parser/cgrammar.py', 670), ('enum_specifier', 2, 'p_enum_specifier', 'ctypesgencore/parser/cgrammar.py', 671), ('enumerator_list', 1, 'p_enumerator_list', 'ctypesgencore/parser/cgrammar.py', 684), ('enumerator_list', 2, 'p_enumerator_list', 'ctypesgencore/parser/cgrammar.py', 685), ('enumerator_list_iso', 1, 'p_enumerator_list_iso', 'ctypesgencore/parser/cgrammar.py', 692), ('enumerator_list_iso', 3, 'p_enumerator_list_iso', 'ctypesgencore/parser/cgrammar.py', 693), ('enumerator', 1, 'p_enumerator', 'ctypesgencore/parser/cgrammar.py', 701), ('enumerator', 3, 'p_enumerator', 'ctypesgencore/parser/cgrammar.py', 702), ('type_qualifier', 1, 'p_type_qualifier', 'ctypesgencore/parser/cgrammar.py', 710), ('type_qualifier', 1, 'p_type_qualifier', 'ctypesgencore/parser/cgrammar.py', 711), ('declarator', 2, 'p_declarator', 'ctypesgencore/parser/cgrammar.py', 716), ('declarator', 1, 'p_declarator', 'ctypesgencore/parser/cgrammar.py', 717), ('direct_declarator', 1, 'p_direct_declarator', 'ctypesgencore/parser/cgrammar.py', 729), ('direct_declarator', 3, 'p_direct_declarator', 'ctypesgencore/parser/cgrammar.py', 730), ('direct_declarator', 4, 'p_direct_declarator', 'ctypesgencore/parser/cgrammar.py', 731), ('direct_declarator', 3, 'p_direct_declarator', 'ctypesgencore/parser/cgrammar.py', 732), ('direct_declarator', 4, 'p_direct_declarator', 'ctypesgencore/parser/cgrammar.py', 733), ('direct_declarator', 4, 'p_direct_declarator', 'ctypesgencore/parser/cgrammar.py', 734), ('direct_declarator', 3, 'p_direct_declarator', 'ctypesgencore/parser/cgrammar.py', 735), ('pointer', 1, 'p_pointer', 'ctypesgencore/parser/cgrammar.py', 764), ('pointer', 2, 'p_pointer', 'ctypesgencore/parser/cgrammar.py', 765), ('pointer', 2, 'p_pointer', 'ctypesgencore/parser/cgrammar.py', 766), ('pointer', 3, 'p_pointer', 'ctypesgencore/parser/cgrammar.py', 767), ('type_qualifier_list', 1, 'p_type_qualifier_list', 'ctypesgencore/parser/cgrammar.py', 784), ('type_qualifier_list', 2, 'p_type_qualifier_list', 'ctypesgencore/parser/cgrammar.py', 785), ('parameter_type_list', 1, 'p_parameter_type_list', 'ctypesgencore/parser/cgrammar.py', 793), ('parameter_type_list', 3, 'p_parameter_type_list', 'ctypesgencore/parser/cgrammar.py', 794), ('parameter_list', 1, 'p_parameter_list', 'ctypesgencore/parser/cgrammar.py', 803), ('parameter_list', 3, 'p_parameter_list', 'ctypesgencore/parser/cgrammar.py', 804), ('parameter_declaration', 2, 'p_parameter_declaration', 'ctypesgencore/parser/cgrammar.py', 812), ('parameter_declaration', 2, 'p_parameter_declaration', 'ctypesgencore/parser/cgrammar.py', 813), ('parameter_declaration', 1, 'p_parameter_declaration', 'ctypesgencore/parser/cgrammar.py', 814), ('identifier_list', 1, 'p_identifier_list', 'ctypesgencore/parser/cgrammar.py', 822), ('identifier_list', 3, 'p_identifier_list', 'ctypesgencore/parser/cgrammar.py', 823), ('type_name', 1, 'p_type_name', 'ctypesgencore/parser/cgrammar.py', 835), ('type_name', 2, 'p_type_name', 'ctypesgencore/parser/cgrammar.py', 836), ('abstract_declarator', 1, 'p_abstract_declarator', 'ctypesgencore/parser/cgrammar.py', 852), ('abstract_declarator', 1, 'p_abstract_declarator', 'ctypesgencore/parser/cgrammar.py', 853), ('abstract_declarator', 2, 'p_abstract_declarator', 'ctypesgencore/parser/cgrammar.py', 854), ('direct_abstract_declarator', 3, 'p_direct_abstract_declarator', 'ctypesgencore/parser/cgrammar.py', 873), ('direct_abstract_declarator', 2, 'p_direct_abstract_declarator', 'ctypesgencore/parser/cgrammar.py', 874), ('direct_abstract_declarator', 3, 'p_direct_abstract_declarator', 'ctypesgencore/parser/cgrammar.py', 875), ('direct_abstract_declarator', 3, 'p_direct_abstract_declarator', 'ctypesgencore/parser/cgrammar.py', 876), ('direct_abstract_declarator', 4, 'p_direct_abstract_declarator', 'ctypesgencore/parser/cgrammar.py', 877), ('direct_abstract_declarator', 2, 'p_direct_abstract_declarator', 'ctypesgencore/parser/cgrammar.py', 878), ('direct_abstract_declarator', 3, 'p_direct_abstract_declarator', 'ctypesgencore/parser/cgrammar.py', 879), ('direct_abstract_declarator', 3, 'p_direct_abstract_declarator', 'ctypesgencore/parser/cgrammar.py', 880), ('direct_abstract_declarator', 4, 'p_direct_abstract_declarator', 'ctypesgencore/parser/cgrammar.py', 881), ('initializer', 1, 'p_initializer', 'ctypesgencore/parser/cgrammar.py', 918), ('initializer', 3, 'p_initializer', 'ctypesgencore/parser/cgrammar.py', 919), ('initializer', 4, 'p_initializer', 'ctypesgencore/parser/cgrammar.py', 920), ('initializer_list', 1, 'p_initializer_list', 'ctypesgencore/parser/cgrammar.py', 924), ('initializer_list', 3, 'p_initializer_list', 'ctypesgencore/parser/cgrammar.py', 925), ('statement', 1, 'p_statement', 'ctypesgencore/parser/cgrammar.py', 929), ('statement', 1, 'p_statement', 'ctypesgencore/parser/cgrammar.py', 930), ('statement', 1, 'p_statement', 'ctypesgencore/parser/cgrammar.py', 931), ('statement', 1, 'p_statement', 'ctypesgencore/parser/cgrammar.py', 932), ('statement', 1, 'p_statement', 'ctypesgencore/parser/cgrammar.py', 933), ('statement', 1, 'p_statement', 'ctypesgencore/parser/cgrammar.py', 934), ('labeled_statement', 3, 'p_labeled_statement', 'ctypesgencore/parser/cgrammar.py', 938), ('labeled_statement', 4, 'p_labeled_statement', 'ctypesgencore/parser/cgrammar.py', 939), ('labeled_statement', 3, 'p_labeled_statement', 'ctypesgencore/parser/cgrammar.py', 940), ('compound_statement', 2, 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2, 'p_expression_statement_error', 'ctypesgencore/parser/cgrammar.py', 970), ('selection_statement', 5, 'p_selection_statement', 'ctypesgencore/parser/cgrammar.py', 975), ('selection_statement', 7, 'p_selection_statement', 'ctypesgencore/parser/cgrammar.py', 976), ('selection_statement', 5, 'p_selection_statement', 'ctypesgencore/parser/cgrammar.py', 977), ('iteration_statement', 5, 'p_iteration_statement', 'ctypesgencore/parser/cgrammar.py', 981), ('iteration_statement', 7, 'p_iteration_statement', 'ctypesgencore/parser/cgrammar.py', 982), ('iteration_statement', 6, 'p_iteration_statement', 'ctypesgencore/parser/cgrammar.py', 983), ('iteration_statement', 7, 'p_iteration_statement', 'ctypesgencore/parser/cgrammar.py', 984), ('jump_statement', 3, 'p_jump_statement', 'ctypesgencore/parser/cgrammar.py', 988), ('jump_statement', 2, 'p_jump_statement', 'ctypesgencore/parser/cgrammar.py', 989), ('jump_statement', 2, 'p_jump_statement', 'ctypesgencore/parser/cgrammar.py', 990), ('jump_statement', 2, 'p_jump_statement', 'ctypesgencore/parser/cgrammar.py', 991), ('jump_statement', 3, 'p_jump_statement', 'ctypesgencore/parser/cgrammar.py', 992), ('external_declaration', 1, 'p_external_declaration', 'ctypesgencore/parser/cgrammar.py', 996), ('external_declaration', 1, 'p_external_declaration', 'ctypesgencore/parser/cgrammar.py', 997), ('function_definition', 4, 'p_function_definition', 'ctypesgencore/parser/cgrammar.py', 1003), ('function_definition', 3, 'p_function_definition', 'ctypesgencore/parser/cgrammar.py', 1004), ('function_definition', 3, 'p_function_definition', 'ctypesgencore/parser/cgrammar.py', 1005), ('function_definition', 2, 'p_function_definition', 'ctypesgencore/parser/cgrammar.py', 1006), ('define', 3, 'p_define', 'ctypesgencore/parser/cgrammar.py', 1010), ('define', 4, 'p_define', 'ctypesgencore/parser/cgrammar.py', 1011), ('define', 4, 'p_define', 'ctypesgencore/parser/cgrammar.py', 1012), ('define', 5, 'p_define', 'ctypesgencore/parser/cgrammar.py', 1013), ('define', 6, 'p_define', 'ctypesgencore/parser/cgrammar.py', 1014), ('define', 6, 'p_define', 'ctypesgencore/parser/cgrammar.py', 1015), ('define', 7, 'p_define', 'ctypesgencore/parser/cgrammar.py', 1016), ('define', 3, 'p_define_error', 'ctypesgencore/parser/cgrammar.py', 1049), ('macro_parameter_list', 1, 'p_macro_parameter_list', 'ctypesgencore/parser/cgrammar.py', 1078), ('macro_parameter_list', 3, 'p_macro_parameter_list', 'ctypesgencore/parser/cgrammar.py', 1079)] |
#!/usr/bin/env python3
# -*- coding:utf-8 -*-
# @author JourWon
# @date 2021/12/29
# @file pyIf.py
if __name__ == "__main__":
n = 10
if n < 0:
print(-1)
elif n == 0:
print(0)
else:
print(1) | if __name__ == '__main__':
n = 10
if n < 0:
print(-1)
elif n == 0:
print(0)
else:
print(1) |
n=int(input())
s=input()
s=s.split(' ')
m=int(input())
v=0
p=0
b=input()
b=b.split(' ')
for x in range(0,m):
a=int(b[x])
for i in range(0,n):
if a==int(s[i]):
v=v+i+1
p=p+n-i
print(str(v)+' '+str(p)) | n = int(input())
s = input()
s = s.split(' ')
m = int(input())
v = 0
p = 0
b = input()
b = b.split(' ')
for x in range(0, m):
a = int(b[x])
for i in range(0, n):
if a == int(s[i]):
v = v + i + 1
p = p + n - i
print(str(v) + ' ' + str(p)) |
# Uzd. Nr.3
num = int(input("Please Enter a number that you would like to check: ")) #input a number to check
if num > 1: # to exclude all numbers < 2, those are not prime numbers
for i in range(2, int(num**0.5)+1): #loop for checking the number (square root)
# same result will be ### for i in range(2, int(num/2)+1): ### devided by 2 - the simple way
if num % i == 0: #check if for the modulus of number from interpretator should be 0, if not than FALSE
print(f"{num} is not a prime, it divides by {i}")
break
else:
print(f" {num} is a prime number") #if number is > than 1, and is a prime
else:
print(f"{num} is not a prime number") #if number <= 1 than not a a prime | num = int(input('Please Enter a number that you would like to check: '))
if num > 1:
for i in range(2, int(num ** 0.5) + 1):
if num % i == 0:
print(f'{num} is not a prime, it divides by {i}')
break
else:
print(f' {num} is a prime number')
else:
print(f'{num} is not a prime number') |
class Solution:
def isAnagram(self, s: str, t: str) -> bool:
len1, len2 = len(s), len(t)
if len1 != len2:
return False
elif len1 == 1:
if s!= t:
return False
else:
return True
else:
dict1 = {}
dict2 = {}
for i, j in zip(s, t):
if i in dict1:
dict1[i] += 1
else:
dict1[i] = 1
if j in dict2:
dict2[j] += 1
else:
dict2[j] = 1
print(f"-----{dict1}----")
print(f"+++++{dict2}++++")
if dict2 == dict1:
return True
else:
return False
if __name__ == "__main__":
case1 = ["anagram", "nagaram"]
s = Solution()
s.isAnagram(case1[0], case1[1])
| class Solution:
def is_anagram(self, s: str, t: str) -> bool:
(len1, len2) = (len(s), len(t))
if len1 != len2:
return False
elif len1 == 1:
if s != t:
return False
else:
return True
else:
dict1 = {}
dict2 = {}
for (i, j) in zip(s, t):
if i in dict1:
dict1[i] += 1
else:
dict1[i] = 1
if j in dict2:
dict2[j] += 1
else:
dict2[j] = 1
print(f'-----{dict1}----')
print(f'+++++{dict2}++++')
if dict2 == dict1:
return True
else:
return False
if __name__ == '__main__':
case1 = ['anagram', 'nagaram']
s = solution()
s.isAnagram(case1[0], case1[1]) |
# Lecture 9.1, slide 10
def sqrtBi(x, eps):
low = 0.0
high = max(1, x)
ans = (high + low) / 2.0
while abs(ans ** 2 - x) >= eps:
if ans ** 2 < x:
low = ans
else:
high = ans
ans = (high + low) / 2.0
return ans | def sqrt_bi(x, eps):
low = 0.0
high = max(1, x)
ans = (high + low) / 2.0
while abs(ans ** 2 - x) >= eps:
if ans ** 2 < x:
low = ans
else:
high = ans
ans = (high + low) / 2.0
return ans |
def dir2tree(dirs):
result = None
for dir in dirs:
if dir['parent_id']== None:
result = Node(dir['id'], dir['name'])
else:
result.add_parent(dir['parent_id'], Node(dir['id'], dir['name']))
return result
class Node:
def __init__(self, id, name):
self.id = id
self.name = name
self.nodes = list()
self.nodesid = list()
def show(self):
return "({} {})\n".format(self.id, self.name)
def __str__(self):
r = self.show()
for n in self.nodes:
r += '----' + str(n)
return r
def __repr__(self):
return str(self)
def add(self, node):
self.nodes.append(node)
self.nodesid.append(node.id)
def add_parent(self, parent_id, node):
if self.id == parent_id:
self.add(node)
for n in self.nodes:
n.add_parent(parent_id, node)
def map(self, fun):
res = str(fun(self))
for n in self.nodes:
res += n.map(fun)
return res
def map_to_div(self, level=0):
res = "<div id='{}' class='tree level-{}'>{}".format(self.id, level, self.name)
for n in self.nodes:
res += n.map_to_div(level + 1)
return res + "</div>"
class Dir:
def __init__(self, name, id, parent_id):
self.name = name
self.id = id
self.parent_id = parent_id
def __str__(self):
return "|{} {} {}| ".format(self.name, self.id, self.parent_id)
def __repr__(self):
return str(self)
def __getitem__(self, key):
return getattr(self, key)
dirs = [
Dir("arot", 1, None),
Dir("b", 2, 1),
Dir("c", 3, 1),
Dir("e", 5, 2),
Dir("f", 6, 2),
Dir("end", 7, 5),
]
d = dir2tree(dirs)
print(d)
print(d.nodes)
d.map(lambda x: print(x.name))
print(d.map_to_div())
| def dir2tree(dirs):
result = None
for dir in dirs:
if dir['parent_id'] == None:
result = node(dir['id'], dir['name'])
else:
result.add_parent(dir['parent_id'], node(dir['id'], dir['name']))
return result
class Node:
def __init__(self, id, name):
self.id = id
self.name = name
self.nodes = list()
self.nodesid = list()
def show(self):
return '({} {})\n'.format(self.id, self.name)
def __str__(self):
r = self.show()
for n in self.nodes:
r += '----' + str(n)
return r
def __repr__(self):
return str(self)
def add(self, node):
self.nodes.append(node)
self.nodesid.append(node.id)
def add_parent(self, parent_id, node):
if self.id == parent_id:
self.add(node)
for n in self.nodes:
n.add_parent(parent_id, node)
def map(self, fun):
res = str(fun(self))
for n in self.nodes:
res += n.map(fun)
return res
def map_to_div(self, level=0):
res = "<div id='{}' class='tree level-{}'>{}".format(self.id, level, self.name)
for n in self.nodes:
res += n.map_to_div(level + 1)
return res + '</div>'
class Dir:
def __init__(self, name, id, parent_id):
self.name = name
self.id = id
self.parent_id = parent_id
def __str__(self):
return '|{} {} {}| '.format(self.name, self.id, self.parent_id)
def __repr__(self):
return str(self)
def __getitem__(self, key):
return getattr(self, key)
dirs = [dir('arot', 1, None), dir('b', 2, 1), dir('c', 3, 1), dir('e', 5, 2), dir('f', 6, 2), dir('end', 7, 5)]
d = dir2tree(dirs)
print(d)
print(d.nodes)
d.map(lambda x: print(x.name))
print(d.map_to_div()) |
# http://codingbat.com/prob/p149391
def xyz_there(str):
for i in range(len(str)-2):
if (str[i:i+3] == "xyz"):
if ( i == 0 or (i != 0 and str[i-1] != '.') ):
return True
return False
| def xyz_there(str):
for i in range(len(str) - 2):
if str[i:i + 3] == 'xyz':
if i == 0 or (i != 0 and str[i - 1] != '.'):
return True
return False |
def extractTigertranslationsOrg(item):
'''
Parser for 'tigertranslations.org'
'''
ttmp = item['title'].replace("10 Years", "<snip> years").replace("10 Years Later", "<snip> years")
vol, chp, frag, postfix = extractVolChapterFragmentPostfix(ttmp)
if not (chp or vol) or "preview" in item['title'].lower():
return None
tagmap = [
('I Will Not Become an Enemy!', 'I Will Not Become an Enemy!', 'translated'),
('My Sister the Heroine, and I the Villainess', 'My Sister the Heroine, and I the Villainess', 'translated'),
('Isekai ni Kita Boku wa Kiyoubinbode Subaya-sa Tayorina Tabi o Suru', 'Isekai ni Kita Boku wa Kiyoubinbode Subaya-sa Tayorina Tabi o Suru', 'translated'),
('Jack of all Trades', 'Isekai ni Kita Boku wa Kiyoubinbode Subaya-sa Tayorina Tabi o Suru', 'translated'),
('Prison Dungeon and the Exiled Hero', 'Prison Dungeon and the Exiled Hero', 'translated'),
('Two Saints wander off into a Different World', 'Two Saints wander off into a Different World', 'translated'),
('Lioncourt War', 'A History of the Lioncourt War', 'translated'),
('realist demon king', 'The Legendary Rebuilding of a World by a Realist Demon King', 'translated'),
('Koko wa Ore ni Makasete Saki ni Ike to Itte kara 10 Nen ga Tattara Densetsu ni Natteita', 'Koko wa Ore ni Makasete Saki ni Ike to Itte kara 10 Nen ga Tattara Densetsu ni Natteita', 'translated'),
('Tensei Kenja no Isekai Raifu ~Daini no Shokugyo wo Ete, Sekai Saikyou ni Narimashita', 'Tensei Kenja no Isekai Raifu ~Daini no Shokugyo wo Ete, Sekai Saikyou ni Narimashita~', 'translated'),
('the legendary rebuilding of a world by a realist demon king', 'the legendary rebuilding of a world by a realist demon king', 'translated'),
('ohanabatake no maousama', 'ohanabatake no maousama', 'translated'),
('Only with Your Heart', 'Only with Your Heart', 'translated'),
('ryusousha ha shizukani kurashitai', 'ryusousha ha shizukani kurashitai', 'translated'),
('makai hongi', 'makai hongi', 'translated'),
('the cave king will live a paradise life -becoming the strongest with the mining skill?-', 'the cave king will live a paradise life -becoming the strongest with the mining skill?-', 'translated'),
('PRC', 'PRC', 'translated'),
('Loiterous', 'Loiterous', 'oel'),
]
# Handle annoying series with numbers in the title.
if 'Koko wa Ore ni Makasete Saki ni Ike to Itte kara 10 Nen ga Tattara Densetsu ni Natteita' in item['tags'] and chp == 10:
return False
for tagname, name, tl_type in tagmap:
if tagname in item['tags']:
return buildReleaseMessageWithType(item, name, vol, chp, frag=frag, postfix=postfix, tl_type=tl_type)
return False | def extract_tigertranslations_org(item):
"""
Parser for 'tigertranslations.org'
"""
ttmp = item['title'].replace('10 Years', '<snip> years').replace('10 Years Later', '<snip> years')
(vol, chp, frag, postfix) = extract_vol_chapter_fragment_postfix(ttmp)
if not (chp or vol) or 'preview' in item['title'].lower():
return None
tagmap = [('I Will Not Become an Enemy!', 'I Will Not Become an Enemy!', 'translated'), ('My Sister the Heroine, and I the Villainess', 'My Sister the Heroine, and I the Villainess', 'translated'), ('Isekai ni Kita Boku wa Kiyoubinbode Subaya-sa Tayorina Tabi o Suru', 'Isekai ni Kita Boku wa Kiyoubinbode Subaya-sa Tayorina Tabi o Suru', 'translated'), ('Jack of all Trades', 'Isekai ni Kita Boku wa Kiyoubinbode Subaya-sa Tayorina Tabi o Suru', 'translated'), ('Prison Dungeon and the Exiled Hero', 'Prison Dungeon and the Exiled Hero', 'translated'), ('Two Saints wander off into a Different World', 'Two Saints wander off into a Different World', 'translated'), ('Lioncourt War', 'A History of the Lioncourt War', 'translated'), ('realist demon king', 'The Legendary Rebuilding of a World by a Realist Demon King', 'translated'), ('Koko wa Ore ni Makasete Saki ni Ike to Itte kara 10 Nen ga Tattara Densetsu ni Natteita', 'Koko wa Ore ni Makasete Saki ni Ike to Itte kara 10 Nen ga Tattara Densetsu ni Natteita', 'translated'), ('Tensei Kenja no Isekai Raifu ~Daini no Shokugyo wo Ete, Sekai Saikyou ni Narimashita', 'Tensei Kenja no Isekai Raifu ~Daini no Shokugyo wo Ete, Sekai Saikyou ni Narimashita~', 'translated'), ('the legendary rebuilding of a world by a realist demon king', 'the legendary rebuilding of a world by a realist demon king', 'translated'), ('ohanabatake no maousama', 'ohanabatake no maousama', 'translated'), ('Only with Your Heart', 'Only with Your Heart', 'translated'), ('ryusousha ha shizukani kurashitai', 'ryusousha ha shizukani kurashitai', 'translated'), ('makai hongi', 'makai hongi', 'translated'), ('the cave king will live a paradise life -becoming the strongest with the mining skill?-', 'the cave king will live a paradise life -becoming the strongest with the mining skill?-', 'translated'), ('PRC', 'PRC', 'translated'), ('Loiterous', 'Loiterous', 'oel')]
if 'Koko wa Ore ni Makasete Saki ni Ike to Itte kara 10 Nen ga Tattara Densetsu ni Natteita' in item['tags'] and chp == 10:
return False
for (tagname, name, tl_type) in tagmap:
if tagname in item['tags']:
return build_release_message_with_type(item, name, vol, chp, frag=frag, postfix=postfix, tl_type=tl_type)
return False |
expected_output = {
"instance": {
"isp": {
"level": {
1: {
"lspid": {
"router-5.00-00": {
"lsp": {
"seq_num": "0x00000003",
"checksum": "0x8074460",
"local_router": False,
"holdtime": 457,
"attach_bit": 0,
"p_bit": 0,
"overload_bit": 0,
},
"area_address": "49",
"nlpid": ["0xcc"],
"hostname": "router-5",
"ip_address": "172.16.186.5",
"ip_neighbor": {
"172.16.115.0/24": {
"ip_prefix": "172.16.115.0",
"prefix_length": "24",
"metric": 0,
},
"172.16.166.0/24": {
"ip_prefix": "172.16.166.0",
"prefix_length": "24",
"metric": 10,
},
"172.16.166.0/24": {
"ip_prefix": "172.16.166.0",
"prefix_length": "24",
"metric": 10,
},
},
"is_neighbor": {
"router-11.00": {
"metric": 10},
"router-11.01": {
"metric": 10},
},
},
"router-11.00-00": {
"lsp": {
"seq_num": "0x0000000b",
"checksum": "0x8074460",
"local_router": True,
"holdtime": 1161,
"attach_bit": 0,
"p_bit": 0,
"overload_bit": 0,
},
"area_address": "49",
"nlpid": ["0xcc"],
"hostname": "router-11",
"ip_address": "172.16.196.11",
"ip_neighbor": {
"172.16.76.0/24": {
"ip_prefix": "172.16.76.0",
"prefix_length": "24",
"metric": 0,
},
"172.16.166.0/24": {
"ip_prefix": "172.16.166.0",
"prefix_length": "24",
"metric": 10,
},
"172.16.166.0/24": {
"ip_prefix": "172.16.166.0",
"prefix_length": "24",
"metric": 10,
},
},
"is_neighbor": {
"router-11.01": {
"metric": 10},
"router-5.00": {
"metric": 10},
},
},
"router-11.01-00": {
"lsp": {
"seq_num": "0x00000001",
"checksum": "0x80770ec",
"local_router": True,
"holdtime": 457,
"attach_bit": 0,
"p_bit": 0,
"overload_bit": 0,
},
"is_neighbor": {
"router-11.00": {
"metric": 0},
"router-5.00": {
"metric": 0},
},
},
},
"total_lsp_count": 3,
"local_lsp_count": 2,
},
2: {
"lspid": {
"router-5.00-00": {
"lsp": {
"seq_num": "0x00000005",
"checksum": "0x807997c",
"local_router": False,
"holdtime": 457,
"attach_bit": 0,
"p_bit": 0,
"overload_bit": 0,
},
"area_address": "49",
"nlpid": ["0xcc"],
"hostname": "router-5",
"ip_address": "172.16.166.5",
"ip_neighbor": {
"172.16.115.0/24": {
"ip_prefix": "172.16.115.0",
"prefix_length": "24",
"metric": 0,
},
"172.16.166.0/24": {
"ip_prefix": "172.16.166.0",
"prefix_length": "24",
"metric": 10,
},
"172.16.94.0/24": {
"ip_prefix": "172.16.94.0",
"prefix_length": "24",
"metric": 10,
},
"172.16.21.0/24": {
"ip_prefix": "172.16.21.0",
"prefix_length": "24",
"metric": 10,
},
},
"is_neighbor": {
"router-11.00": {
"metric": 10},
"router-11.01": {
"metric": 10},
},
},
"router-11.00-00": {
"lsp": {
"seq_num": "0x0000000d",
"checksum": "0x807997c",
"local_router": True,
"holdtime": 1184,
"attach_bit": 0,
"p_bit": 0,
"overload_bit": 0,
},
"area_address": "49",
"nlpid": ["0xcc"],
"hostname": "router-11",
"ip_address": "172.28.111.111",
"ip_neighbor": {
"172.16.21.0/24": {
"ip_prefix": "172.16.21.0",
"prefix_length": "24",
"metric": 0,
},
"172.16.166.0/24": {
"ip_prefix": "172.16.166.0",
"prefix_length": "24",
"metric": 10,
},
"172.16.166.0/24": {
"ip_prefix": "172.16.166.0",
"prefix_length": "24",
"metric": 10,
},
"172.16.115.0/24": {
"ip_prefix": "172.16.115.0",
"prefix_length": "24",
"metric": 10,
},
},
"is_neighbor": {
"router-11.01": {
"metric": 10},
"router-5.00": {
"metric": 10},
},
},
"router-gsr11.01-00": {
"lsp": {
"seq_num": "0x00000001",
"checksum": "0x80770ec",
"local_router": True,
"holdtime": 457,
"attach_bit": 0,
"p_bit": 0,
"overload_bit": 0,
},
"is_neighbor": {
"router-11.00": {
"metric": 0},
"router-5.00": {
"metric": 0},
},
},
},
"total_lsp_count": 3,
"local_lsp_count": 2,
},
}
}
}
}
| expected_output = {'instance': {'isp': {'level': {1: {'lspid': {'router-5.00-00': {'lsp': {'seq_num': '0x00000003', 'checksum': '0x8074460', 'local_router': False, 'holdtime': 457, 'attach_bit': 0, 'p_bit': 0, 'overload_bit': 0}, 'area_address': '49', 'nlpid': ['0xcc'], 'hostname': 'router-5', 'ip_address': '172.16.186.5', 'ip_neighbor': {'172.16.115.0/24': {'ip_prefix': '172.16.115.0', 'prefix_length': '24', 'metric': 0}, '172.16.166.0/24': {'ip_prefix': '172.16.166.0', 'prefix_length': '24', 'metric': 10}, '172.16.166.0/24': {'ip_prefix': '172.16.166.0', 'prefix_length': '24', 'metric': 10}}, 'is_neighbor': {'router-11.00': {'metric': 10}, 'router-11.01': {'metric': 10}}}, 'router-11.00-00': {'lsp': {'seq_num': '0x0000000b', 'checksum': '0x8074460', 'local_router': True, 'holdtime': 1161, 'attach_bit': 0, 'p_bit': 0, 'overload_bit': 0}, 'area_address': '49', 'nlpid': ['0xcc'], 'hostname': 'router-11', 'ip_address': '172.16.196.11', 'ip_neighbor': {'172.16.76.0/24': {'ip_prefix': '172.16.76.0', 'prefix_length': '24', 'metric': 0}, '172.16.166.0/24': {'ip_prefix': '172.16.166.0', 'prefix_length': '24', 'metric': 10}, '172.16.166.0/24': {'ip_prefix': '172.16.166.0', 'prefix_length': '24', 'metric': 10}}, 'is_neighbor': {'router-11.01': {'metric': 10}, 'router-5.00': {'metric': 10}}}, 'router-11.01-00': {'lsp': {'seq_num': '0x00000001', 'checksum': '0x80770ec', 'local_router': True, 'holdtime': 457, 'attach_bit': 0, 'p_bit': 0, 'overload_bit': 0}, 'is_neighbor': {'router-11.00': {'metric': 0}, 'router-5.00': {'metric': 0}}}}, 'total_lsp_count': 3, 'local_lsp_count': 2}, 2: {'lspid': {'router-5.00-00': {'lsp': {'seq_num': '0x00000005', 'checksum': '0x807997c', 'local_router': False, 'holdtime': 457, 'attach_bit': 0, 'p_bit': 0, 'overload_bit': 0}, 'area_address': '49', 'nlpid': ['0xcc'], 'hostname': 'router-5', 'ip_address': '172.16.166.5', 'ip_neighbor': {'172.16.115.0/24': {'ip_prefix': '172.16.115.0', 'prefix_length': '24', 'metric': 0}, '172.16.166.0/24': {'ip_prefix': '172.16.166.0', 'prefix_length': '24', 'metric': 10}, '172.16.94.0/24': {'ip_prefix': '172.16.94.0', 'prefix_length': '24', 'metric': 10}, '172.16.21.0/24': {'ip_prefix': '172.16.21.0', 'prefix_length': '24', 'metric': 10}}, 'is_neighbor': {'router-11.00': {'metric': 10}, 'router-11.01': {'metric': 10}}}, 'router-11.00-00': {'lsp': {'seq_num': '0x0000000d', 'checksum': '0x807997c', 'local_router': True, 'holdtime': 1184, 'attach_bit': 0, 'p_bit': 0, 'overload_bit': 0}, 'area_address': '49', 'nlpid': ['0xcc'], 'hostname': 'router-11', 'ip_address': '172.28.111.111', 'ip_neighbor': {'172.16.21.0/24': {'ip_prefix': '172.16.21.0', 'prefix_length': '24', 'metric': 0}, '172.16.166.0/24': {'ip_prefix': '172.16.166.0', 'prefix_length': '24', 'metric': 10}, '172.16.166.0/24': {'ip_prefix': '172.16.166.0', 'prefix_length': '24', 'metric': 10}, '172.16.115.0/24': {'ip_prefix': '172.16.115.0', 'prefix_length': '24', 'metric': 10}}, 'is_neighbor': {'router-11.01': {'metric': 10}, 'router-5.00': {'metric': 10}}}, 'router-gsr11.01-00': {'lsp': {'seq_num': '0x00000001', 'checksum': '0x80770ec', 'local_router': True, 'holdtime': 457, 'attach_bit': 0, 'p_bit': 0, 'overload_bit': 0}, 'is_neighbor': {'router-11.00': {'metric': 0}, 'router-5.00': {'metric': 0}}}}, 'total_lsp_count': 3, 'local_lsp_count': 2}}}}} |
a = [1, 2, 3, 4, 5,]
print(*a)
for i in a:
print(i, end=' ') | a = [1, 2, 3, 4, 5]
print(*a)
for i in a:
print(i, end=' ') |
#
# This file contains the Python code from Program 16.21 of
# "Data Structures and Algorithms
# with Object-Oriented Design Patterns in Python"
# by Bruno R. Preiss.
#
# Copyright (c) 2003 by Bruno R. Preiss, P.Eng. All rights reserved.
#
# http://www.brpreiss.com/books/opus7/programs/pgm16_21.txt
#
class Algorithms(object):
def criticalPathAnalysis(g):
n = g.numberOfVertices
earliestTime = Array(n)
earliestTime[0] = 0
g.topologicalOrderTraversal(
Algorithms.EarliestTimeVisitor(earliestTime))
latestTime = Array(n)
latestTime[n - 1] = earliestTime[n - 1]
g.depthFirstTraversal(PostOrder(
Algorithms.LatestTimeVisitor(latestTime)), 0)
slackGraph = DigraphAsLists(n)
for v in xrange(n):
slackGraph.addVertex(v)
for e in g.edges:
slack = latestTime[e.v1.number] - \
earliestTime[e.v0.number] - e.weight
slackGraph.addEdge(
e.v0.number, e.v1.number, e.weight)
return Algorithms.DijkstrasAlgorithm(slackGraph, 0)
criticalPathAnalysis = staticmethod(criticalPathAnalysis)
| class Algorithms(object):
def critical_path_analysis(g):
n = g.numberOfVertices
earliest_time = array(n)
earliestTime[0] = 0
g.topologicalOrderTraversal(Algorithms.EarliestTimeVisitor(earliestTime))
latest_time = array(n)
latestTime[n - 1] = earliestTime[n - 1]
g.depthFirstTraversal(post_order(Algorithms.LatestTimeVisitor(latestTime)), 0)
slack_graph = digraph_as_lists(n)
for v in xrange(n):
slackGraph.addVertex(v)
for e in g.edges:
slack = latestTime[e.v1.number] - earliestTime[e.v0.number] - e.weight
slackGraph.addEdge(e.v0.number, e.v1.number, e.weight)
return Algorithms.DijkstrasAlgorithm(slackGraph, 0)
critical_path_analysis = staticmethod(criticalPathAnalysis) |
# Some basic tests
DataManager = tools.dynamicImportDev('dataManager').Manager
# traininigDataFun, trainingData = tools.importData('training')
# trainingDataProvider = DataProvider(
# data = traininigDataFun,
# bz = env.training.bz,
# stochasticSampling = False,
# indexingShape = [trainingData.shape[0]]
# )
# print(np.array(trainingDataProvider(1)[0]).shape)
validationDataFun, validationData = tools.importData('validation')
print(len(validationData))
validationDataProvider = DataManager(
data = validationDataFun,
bz = env.training.bz,
stochasticSampling = False,
reshuffle = True,
indexingShape = [len(validationData)]
)
print(np.array(validationDataProvider(1)[1]).shape)
# prove that reshouffling works by
# 1) showing that we get the same number of indexs as original indexs (minux batch size leftovers)
# 2) the data we get matches the index provided equivalents in the origina ordered data source
indxs = []
data
for i, data, indx in validationDataProvider:
print(np.array(data[1])[:, :, :, 0].shape, validationData[indx][:, :, :, 3].shape)
print(np.mean(np.array(data[1])[:, :, :, 0] == validationData[indx][:, :, :, 3]))
indxs += list(indx)
len(len(validationData) - len(validationData)%env.training.bz) | data_manager = tools.dynamicImportDev('dataManager').Manager
(validation_data_fun, validation_data) = tools.importData('validation')
print(len(validationData))
validation_data_provider = data_manager(data=validationDataFun, bz=env.training.bz, stochasticSampling=False, reshuffle=True, indexingShape=[len(validationData)])
print(np.array(validation_data_provider(1)[1]).shape)
indxs = []
data
for (i, data, indx) in validationDataProvider:
print(np.array(data[1])[:, :, :, 0].shape, validationData[indx][:, :, :, 3].shape)
print(np.mean(np.array(data[1])[:, :, :, 0] == validationData[indx][:, :, :, 3]))
indxs += list(indx)
len(len(validationData) - len(validationData) % env.training.bz) |
class Solution:
def twoSum(self, nums: List[int], target: int) -> List[int]:
data = {}
output = []
for i in range(len(nums)):
v = target - nums[i]
if v in data.values():
output.append(nums.index(v))
output.append(i)
data[i] = nums[i]
return output | class Solution:
def two_sum(self, nums: List[int], target: int) -> List[int]:
data = {}
output = []
for i in range(len(nums)):
v = target - nums[i]
if v in data.values():
output.append(nums.index(v))
output.append(i)
data[i] = nums[i]
return output |
EXAMPLE = True
MYSQL_HOST = "development.com"
VERSION = 1
AGE = 15
NAME = "MIKE"
IMAGE_1 = "aaa"
IMAGE_2 = "bbb"
IMAGE_4 = "a"
IMAGE_5 = "b"
| example = True
mysql_host = 'development.com'
version = 1
age = 15
name = 'MIKE'
image_1 = 'aaa'
image_2 = 'bbb'
image_4 = 'a'
image_5 = 'b' |
total_secs = int(input("How many seconds, in total?"))
hours = total_secs // 3600
secs_still_remaining = total_secs / 60
minutes = secs_still_remaining // 60
secs_finally_remaining = secs_still_remaining / 60
print("Hrs=", hours, " mines=", minutes,
"secs=", secs_finally_remaining)
name=int(input("What is your name?"))
print("okey", name) | total_secs = int(input('How many seconds, in total?'))
hours = total_secs // 3600
secs_still_remaining = total_secs / 60
minutes = secs_still_remaining // 60
secs_finally_remaining = secs_still_remaining / 60
print('Hrs=', hours, ' mines=', minutes, 'secs=', secs_finally_remaining)
name = int(input('What is your name?'))
print('okey', name) |
class Solution:
def minSwap(self, A: [int], B: [int]) -> int:
swap, keep = 1, 0
for i in range(1, len(A)):
if A[i] <= A[i - 1] or B[i] <= B[i - 1]:
# swap
nswap = keep + 1
nkeep = swap
elif A[i] > B[i - 1] and B[i] > A[i - 1]:
# swap or keep
nkeep = min(keep, swap)
nswap = nkeep + 1
else:
# keep
nkeep = keep
nswap = swap + 1
swap, keep = nswap, nkeep
return min(swap, keep) | class Solution:
def min_swap(self, A: [int], B: [int]) -> int:
(swap, keep) = (1, 0)
for i in range(1, len(A)):
if A[i] <= A[i - 1] or B[i] <= B[i - 1]:
nswap = keep + 1
nkeep = swap
elif A[i] > B[i - 1] and B[i] > A[i - 1]:
nkeep = min(keep, swap)
nswap = nkeep + 1
else:
nkeep = keep
nswap = swap + 1
(swap, keep) = (nswap, nkeep)
return min(swap, keep) |
price_vegetables = float(input())
price_fruits = float(input())
kg_vegetables = int(input())
kg_fruits = int(input())
print(str((price_fruits*kg_fruits + price_vegetables*kg_vegetables)/1.94))
| price_vegetables = float(input())
price_fruits = float(input())
kg_vegetables = int(input())
kg_fruits = int(input())
print(str((price_fruits * kg_fruits + price_vegetables * kg_vegetables) / 1.94)) |
with open('abc.txt', 'w+') as file:
file.write('linha 1\n')
file.write('linha 2\n')
file.write('linha 3\n')
file.seek(0)
print(file.read()) | with open('abc.txt', 'w+') as file:
file.write('linha 1\n')
file.write('linha 2\n')
file.write('linha 3\n')
file.seek(0)
print(file.read()) |
#
# PySNMP MIB module CISCO-TN3270SERVER-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CISCO-TN3270SERVER-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 17:57:52 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")
ConstraintsUnion, ValueRangeConstraint, SingleValueConstraint, ValueSizeConstraint, ConstraintsIntersection = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "ValueRangeConstraint", "SingleValueConstraint", "ValueSizeConstraint", "ConstraintsIntersection")
ciscoMgmt, = mibBuilder.importSymbols("CISCO-SMI", "ciscoMgmt")
ObjectGroup, NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "ObjectGroup", "NotificationGroup", "ModuleCompliance")
Counter64, Gauge32, ModuleIdentity, Bits, Counter32, MibScalar, MibTable, MibTableRow, MibTableColumn, Integer32, TimeTicks, NotificationType, IpAddress, ObjectIdentity, iso, Unsigned32, MibIdentifier = mibBuilder.importSymbols("SNMPv2-SMI", "Counter64", "Gauge32", "ModuleIdentity", "Bits", "Counter32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Integer32", "TimeTicks", "NotificationType", "IpAddress", "ObjectIdentity", "iso", "Unsigned32", "MibIdentifier")
DisplayString, TruthValue, MacAddress, TextualConvention, TimeStamp = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TruthValue", "MacAddress", "TextualConvention", "TimeStamp")
ciscoTn3270ServerMIB = ModuleIdentity((1, 3, 6, 1, 4, 1, 9, 9, 54))
ciscoTn3270ServerMIB.setRevisions(('1997-01-22 00:00', '1996-09-12 00:00',))
if mibBuilder.loadTexts: ciscoTn3270ServerMIB.setLastUpdated('9701220000Z')
if mibBuilder.loadTexts: ciscoTn3270ServerMIB.setOrganization('Cisco Systems, Inc.')
tn3270sObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 54, 1))
tn3270sGlobal = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1))
tn3270sStats = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2))
tn3270sPu = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3))
tn3270sIp = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 4))
tn3270sLu = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5))
tn3270sPuNail = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 6))
tn3270sIpNail = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 7))
class Tn3270sUnsigned32(TextualConvention, Integer32):
status = 'current'
subtypeSpec = Integer32.subtypeSpec + ValueRangeConstraint(0, 4294967295)
class Tn3270sTCPPort(TextualConvention, Integer32):
status = 'current'
subtypeSpec = Integer32.subtypeSpec + ValueRangeConstraint(0, 65535)
class Tn3270sPUIndex(Tn3270sUnsigned32):
status = 'current'
class Tn3270sLUIndex(Tn3270sUnsigned32):
status = 'current'
class Tn3270sCpuCard(DisplayString):
status = 'current'
subtypeSpec = DisplayString.subtypeSpec + ValueSizeConstraint(10, 16)
tn3270sGlobalTable = MibTable((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1), )
if mibBuilder.loadTexts: tn3270sGlobalTable.setStatus('current')
tn3270sGlobalEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1, 1), ).setIndexNames((0, "CISCO-TN3270SERVER-MIB", "tn3270sIndex"))
if mibBuilder.loadTexts: tn3270sGlobalEntry.setStatus('current')
tn3270sIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1, 1, 1), Tn3270sUnsigned32())
if mibBuilder.loadTexts: tn3270sIndex.setStatus('current')
tn3270sCpuCard = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1, 1, 2), Tn3270sCpuCard()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sCpuCard.setStatus('current')
tn3270sMaxLus = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1, 1, 3), Tn3270sUnsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 65535))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sMaxLus.setStatus('current')
tn3270sLusInUse = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1, 1, 4), Gauge32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sLusInUse.setStatus('current')
tn3270sStartupTime = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1, 1, 5), TimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sStartupTime.setStatus('current')
tn3270sGlobalTcpPort = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1, 1, 6), Tn3270sTCPPort()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sGlobalTcpPort.setStatus('current')
tn3270sGlobalIdleTimeout = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1, 1, 7), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65534))).setUnits('seconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sGlobalIdleTimeout.setStatus('current')
tn3270sGlobalKeepAlive = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1, 1, 8), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65534))).setUnits('seconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sGlobalKeepAlive.setStatus('current')
tn3270sGlobalUnbindAction = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1, 1, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("keep", 1), ("disconnect", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sGlobalUnbindAction.setStatus('current')
tn3270sGlobalGenericPool = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1, 1, 10), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("permit", 1), ("deny", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sGlobalGenericPool.setStatus('current')
tn3270sTimingMarkSupported = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1, 1, 11), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sTimingMarkSupported.setStatus('current')
tn3270sRunningTime = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1, 1, 12), Tn3270sUnsigned32()).setUnits('seconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sRunningTime.setStatus('current')
tn3270sStatsTable = MibTable((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1), )
if mibBuilder.loadTexts: tn3270sStatsTable.setStatus('current')
tn3270sStatsEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1), ).setIndexNames((0, "CISCO-TN3270SERVER-MIB", "tn3270sIndex"), (0, "CISCO-TN3270SERVER-MIB", "tn3270sStatsServerAddr"), (0, "CISCO-TN3270SERVER-MIB", "tn3270sStatsServerTcpPort"))
if mibBuilder.loadTexts: tn3270sStatsEntry.setStatus('current')
tn3270sStatsServerAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1, 1), IpAddress())
if mibBuilder.loadTexts: tn3270sStatsServerAddr.setStatus('current')
tn3270sStatsServerTcpPort = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1, 2), Tn3270sTCPPort())
if mibBuilder.loadTexts: tn3270sStatsServerTcpPort.setStatus('current')
tn3270sStatsMaxSess = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1, 3), Gauge32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sStatsMaxSess.setStatus('current')
tn3270sStatsSpareSess = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1, 4), Gauge32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sStatsSpareSess.setStatus('current')
tn3270sStatsConnectsIn = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1, 5), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sStatsConnectsIn.setStatus('current')
tn3270sStatsDisconnects = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1, 6), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sStatsDisconnects.setStatus('current')
tn3270sStatsTN3270ConnectsFailed = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1, 7), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sStatsTN3270ConnectsFailed.setStatus('current')
tn3270sStatsInboundChains = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1, 8), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sStatsInboundChains.setStatus('current')
tn3270sStatsOutboundChains = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1, 9), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sStatsOutboundChains.setStatus('current')
tn3270sStatsSampledHostResponses = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1, 10), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sStatsSampledHostResponses.setStatus('current')
tn3270sStatsNetSampledHostResponseTime = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1, 11), Tn3270sUnsigned32()).setUnits('10milliseconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sStatsNetSampledHostResponseTime.setStatus('current')
tn3270sStatsSampledClientResponses = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1, 12), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sStatsSampledClientResponses.setStatus('current')
tn3270sStatsNetSampledClientResponseTime = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1, 13), Tn3270sUnsigned32()).setUnits('10milliseconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sStatsNetSampledClientResponseTime.setStatus('current')
tn3270sPuTable = MibTable((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1), )
if mibBuilder.loadTexts: tn3270sPuTable.setStatus('current')
tn3270sPuEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1), ).setIndexNames((0, "CISCO-TN3270SERVER-MIB", "tn3270sIndex"), (0, "CISCO-TN3270SERVER-MIB", "tn3270sPuIndex"))
if mibBuilder.loadTexts: tn3270sPuEntry.setStatus('current')
tn3270sPuIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 1), Tn3270sPUIndex())
if mibBuilder.loadTexts: tn3270sPuIndex.setStatus('current')
tn3270sPuIpAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 2), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sPuIpAddr.setStatus('current')
tn3270sPuTcpPort = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 3), Tn3270sTCPPort()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sPuTcpPort.setStatus('current')
tn3270sPuIdleTimeout = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 4), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sPuIdleTimeout.setStatus('current')
tn3270sPuKeepAlive = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sPuKeepAlive.setStatus('current')
tn3270sPuUnbindAction = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("keep", 1), ("disconnect", 2), ("inherit", 3)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sPuUnbindAction.setStatus('current')
tn3270sPuGenericPool = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("permit", 1), ("deny", 2), ("inherit", 3)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sPuGenericPool.setStatus('current')
tn3270sPuState = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8))).clone(namedValues=NamedValues(("shut", 1), ("reset", 2), ("inactive", 3), ("test", 4), ("xid", 5), ("pActpu", 6), ("active", 7), ("actBusy", 8)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sPuState.setStatus('current')
tn3270sPuType = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("dlur", 1), ("direct", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sPuType.setStatus('current')
tn3270sPuLuSeed = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 10), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(1, 6))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sPuLuSeed.setStatus('current')
tn3270sLocalSapAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 11), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 254))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sLocalSapAddress.setStatus('current')
tn3270sRemoteSapAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 12), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 254))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sRemoteSapAddress.setStatus('current')
tn3270sRemoteMacAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 13), MacAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sRemoteMacAddress.setStatus('current')
tn3270sPuIpPrecedenceScreen = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 14), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 7))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sPuIpPrecedenceScreen.setStatus('current')
tn3270sPuIpPrecedencePrinter = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 15), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 7))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sPuIpPrecedencePrinter.setStatus('current')
tn3270sPuIpTosScreen = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 16), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 15))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sPuIpTosScreen.setStatus('current')
tn3270sPuIpTosPrinter = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 17), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 15))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sPuIpTosPrinter.setStatus('current')
tn3270sIpTable = MibTable((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 4, 1), )
if mibBuilder.loadTexts: tn3270sIpTable.setStatus('current')
tn3270sIpEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 4, 1, 1), ).setIndexNames((0, "CISCO-TN3270SERVER-MIB", "tn3270sIndex"), (0, "CISCO-TN3270SERVER-MIB", "tn3270sIpClientAddr"), (0, "CISCO-TN3270SERVER-MIB", "tn3270sIpClientTcpPort"))
if mibBuilder.loadTexts: tn3270sIpEntry.setStatus('current')
tn3270sIpClientAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 4, 1, 1, 1), IpAddress())
if mibBuilder.loadTexts: tn3270sIpClientAddr.setStatus('current')
tn3270sIpClientTcpPort = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 4, 1, 1, 2), Tn3270sTCPPort())
if mibBuilder.loadTexts: tn3270sIpClientTcpPort.setStatus('current')
tn3270sIpPuIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 4, 1, 1, 3), Tn3270sPUIndex()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sIpPuIndex.setStatus('current')
tn3270sIpLuIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 4, 1, 1, 4), Tn3270sLUIndex()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sIpLuIndex.setStatus('current')
tn3270sLuTable = MibTable((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1), )
if mibBuilder.loadTexts: tn3270sLuTable.setStatus('current')
tn3270sLuEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1), ).setIndexNames((0, "CISCO-TN3270SERVER-MIB", "tn3270sIndex"), (0, "CISCO-TN3270SERVER-MIB", "tn3270sLuPuIndex"), (0, "CISCO-TN3270SERVER-MIB", "tn3270sLuIndex"))
if mibBuilder.loadTexts: tn3270sLuEntry.setStatus('current')
tn3270sLuPuIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 1), Tn3270sPUIndex())
if mibBuilder.loadTexts: tn3270sLuPuIndex.setStatus('current')
tn3270sLuIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 2), Tn3270sLUIndex())
if mibBuilder.loadTexts: tn3270sLuIndex.setStatus('current')
tn3270sLuClientAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 3), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sLuClientAddr.setStatus('current')
tn3270sLuClientTcpPort = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 4), Tn3270sTCPPort()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sLuClientTcpPort.setStatus('current')
tn3270sLuTelnetType = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("tn3270", 1), ("tn3270e", 2), ("neverConnect", 3)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sLuTelnetType.setStatus('current')
tn3270sLuTermModel = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 6), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(1, 17))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sLuTermModel.setStatus('current')
tn3270sLuState = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13))).clone(namedValues=NamedValues(("inactive", 1), ("active", 2), ("pSdt", 3), ("actSession", 4), ("pActlu", 5), ("pNotifyAv", 6), ("pNotifyUa", 7), ("pReset", 8), ("pPsid", 9), ("pBind", 10), ("pUnbind", 11), ("unbindWt", 12), ("sdtWt", 13)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sLuState.setStatus('current')
tn3270sLuCurInbPacing = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 8), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 63))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sLuCurInbPacing.setStatus('current')
tn3270sLuCurInbQsize = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 9), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 63))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sLuCurInbQsize.setStatus('current')
tn3270sLuCurOutQsize = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 10), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 63))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sLuCurOutQsize.setStatus('current')
tn3270sLuIdleTime = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 11), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setUnits('seconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sLuIdleTime.setStatus('current')
tn3270sLuType = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 12), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("dynamic", 1), ("static", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sLuType.setStatus('current')
tn3270sLuAppnLinkIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 13), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(1, 8))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sLuAppnLinkIndex.setStatus('current')
tn3270sLuLfsid = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 14), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sLuLfsid.setStatus('current')
tn3270sLuLastEvent = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 15), TimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sLuLastEvent.setStatus('obsolete')
tn3270sLuEvents = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 16), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 16))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sLuEvents.setStatus('current')
tn3270sLuNail = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 17), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sLuNail.setStatus('current')
tn3270sPuNailTable = MibTable((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 6, 1), )
if mibBuilder.loadTexts: tn3270sPuNailTable.setStatus('current')
tn3270sPuNailEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 6, 1, 1), ).setIndexNames((0, "CISCO-TN3270SERVER-MIB", "tn3270sIndex"), (0, "CISCO-TN3270SERVER-MIB", "tn3270sPuIndex"), (0, "CISCO-TN3270SERVER-MIB", "tn3270sPuNailClientIpAddr"), (0, "CISCO-TN3270SERVER-MIB", "tn3270sPuNailLuFirst"))
if mibBuilder.loadTexts: tn3270sPuNailEntry.setStatus('current')
tn3270sPuNailClientIpAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 6, 1, 1, 1), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sPuNailClientIpAddr.setStatus('current')
tn3270sPuNailClientIpMask = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 6, 1, 1, 2), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sPuNailClientIpMask.setStatus('current')
tn3270sPuNailType = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 6, 1, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("screen", 1), ("printer", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sPuNailType.setStatus('current')
tn3270sPuNailLuFirst = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 6, 1, 1, 4), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 255))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sPuNailLuFirst.setStatus('current')
tn3270sPuNailLuLast = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 6, 1, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 255))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sPuNailLuLast.setStatus('current')
tn3270sIpNailTable = MibTable((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 7, 1), )
if mibBuilder.loadTexts: tn3270sIpNailTable.setStatus('current')
tn3270sIpNailEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 7, 1, 1), ).setIndexNames((0, "CISCO-TN3270SERVER-MIB", "tn3270sIndex"), (0, "CISCO-TN3270SERVER-MIB", "tn3270sIpNailClientIpAddr"), (0, "CISCO-TN3270SERVER-MIB", "tn3270sPuIndex"), (0, "CISCO-TN3270SERVER-MIB", "tn3270sIpNailLuFirst"))
if mibBuilder.loadTexts: tn3270sIpNailEntry.setStatus('current')
tn3270sIpNailClientIpAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 7, 1, 1, 1), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sIpNailClientIpAddr.setStatus('current')
tn3270sIpNailClientIpMask = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 7, 1, 1, 2), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sIpNailClientIpMask.setStatus('current')
tn3270sIpNailType = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 7, 1, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("screen", 1), ("printer", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sIpNailType.setStatus('current')
tn3270sIpNailLuFirst = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 7, 1, 1, 4), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 255))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sIpNailLuFirst.setStatus('current')
tn3270sIpNailLuLast = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 7, 1, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 255))).setMaxAccess("readonly")
if mibBuilder.loadTexts: tn3270sIpNailLuLast.setStatus('current')
ciscoTn3270ServerMIBNotificationPrefix = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 54, 2))
ciscoTn3270ServerMIBConformance = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 54, 3))
ciscoTn3270ServerMIBCompliances = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 54, 3, 1))
ciscoTn3270ServerMIBGroups = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 54, 3, 2))
ciscoTn3270ServerMIBCompliance = ModuleCompliance((1, 3, 6, 1, 4, 1, 9, 9, 54, 3, 1, 1)).setObjects(("CISCO-TN3270SERVER-MIB", "ciscoTn3270ServerMIBGroup"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ciscoTn3270ServerMIBCompliance = ciscoTn3270ServerMIBCompliance.setStatus('current')
ciscoTn3270ServerMIBGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 54, 3, 2, 1)).setObjects(("CISCO-TN3270SERVER-MIB", "tn3270sCpuCard"), ("CISCO-TN3270SERVER-MIB", "tn3270sMaxLus"), ("CISCO-TN3270SERVER-MIB", "tn3270sLusInUse"), ("CISCO-TN3270SERVER-MIB", "tn3270sStartupTime"), ("CISCO-TN3270SERVER-MIB", "tn3270sGlobalTcpPort"), ("CISCO-TN3270SERVER-MIB", "tn3270sGlobalIdleTimeout"), ("CISCO-TN3270SERVER-MIB", "tn3270sGlobalKeepAlive"), ("CISCO-TN3270SERVER-MIB", "tn3270sGlobalUnbindAction"), ("CISCO-TN3270SERVER-MIB", "tn3270sGlobalGenericPool"), ("CISCO-TN3270SERVER-MIB", "tn3270sTimingMarkSupported"), ("CISCO-TN3270SERVER-MIB", "tn3270sRunningTime"), ("CISCO-TN3270SERVER-MIB", "tn3270sStatsMaxSess"), ("CISCO-TN3270SERVER-MIB", "tn3270sStatsSpareSess"), ("CISCO-TN3270SERVER-MIB", "tn3270sStatsConnectsIn"), ("CISCO-TN3270SERVER-MIB", "tn3270sStatsDisconnects"), ("CISCO-TN3270SERVER-MIB", "tn3270sStatsTN3270ConnectsFailed"), ("CISCO-TN3270SERVER-MIB", "tn3270sStatsInboundChains"), ("CISCO-TN3270SERVER-MIB", "tn3270sStatsOutboundChains"), ("CISCO-TN3270SERVER-MIB", "tn3270sStatsSampledHostResponses"), ("CISCO-TN3270SERVER-MIB", "tn3270sStatsNetSampledHostResponseTime"), ("CISCO-TN3270SERVER-MIB", "tn3270sStatsSampledClientResponses"), ("CISCO-TN3270SERVER-MIB", "tn3270sStatsNetSampledClientResponseTime"), ("CISCO-TN3270SERVER-MIB", "tn3270sPuIpAddr"), ("CISCO-TN3270SERVER-MIB", "tn3270sPuTcpPort"), ("CISCO-TN3270SERVER-MIB", "tn3270sPuIdleTimeout"), ("CISCO-TN3270SERVER-MIB", "tn3270sPuKeepAlive"), ("CISCO-TN3270SERVER-MIB", "tn3270sPuUnbindAction"), ("CISCO-TN3270SERVER-MIB", "tn3270sPuGenericPool"), ("CISCO-TN3270SERVER-MIB", "tn3270sPuState"), ("CISCO-TN3270SERVER-MIB", "tn3270sPuType"), ("CISCO-TN3270SERVER-MIB", "tn3270sPuLuSeed"), ("CISCO-TN3270SERVER-MIB", "tn3270sLocalSapAddress"), ("CISCO-TN3270SERVER-MIB", "tn3270sRemoteSapAddress"), ("CISCO-TN3270SERVER-MIB", "tn3270sRemoteMacAddress"), ("CISCO-TN3270SERVER-MIB", "tn3270sIpPuIndex"), ("CISCO-TN3270SERVER-MIB", "tn3270sIpLuIndex"), ("CISCO-TN3270SERVER-MIB", "tn3270sLuClientAddr"), ("CISCO-TN3270SERVER-MIB", "tn3270sLuClientTcpPort"), ("CISCO-TN3270SERVER-MIB", "tn3270sLuTelnetType"), ("CISCO-TN3270SERVER-MIB", "tn3270sLuTermModel"), ("CISCO-TN3270SERVER-MIB", "tn3270sLuState"), ("CISCO-TN3270SERVER-MIB", "tn3270sLuCurInbPacing"), ("CISCO-TN3270SERVER-MIB", "tn3270sLuCurInbQsize"), ("CISCO-TN3270SERVER-MIB", "tn3270sLuCurOutQsize"), ("CISCO-TN3270SERVER-MIB", "tn3270sLuIdleTime"), ("CISCO-TN3270SERVER-MIB", "tn3270sLuType"), ("CISCO-TN3270SERVER-MIB", "tn3270sLuAppnLinkIndex"), ("CISCO-TN3270SERVER-MIB", "tn3270sLuLfsid"), ("CISCO-TN3270SERVER-MIB", "tn3270sLuEvents"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ciscoTn3270ServerMIBGroup = ciscoTn3270ServerMIBGroup.setStatus('current')
ciscoTn3270ServerMIBComplianceObsolete = ModuleCompliance((1, 3, 6, 1, 4, 1, 9, 9, 54, 3, 1, 2)).setObjects(("CISCO-TN3270SERVER-MIB", "ciscoTn3270ServerMIBGroupObsolete"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ciscoTn3270ServerMIBComplianceObsolete = ciscoTn3270ServerMIBComplianceObsolete.setStatus('obsolete')
ciscoTn3270ServerMIBGroupObsolete = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 54, 3, 2, 2)).setObjects(("CISCO-TN3270SERVER-MIB", "tn3270sLuLastEvent"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ciscoTn3270ServerMIBGroupObsolete = ciscoTn3270ServerMIBGroupObsolete.setStatus('obsolete')
ciscoTn3270ServerMIBComplianceRev1 = ModuleCompliance((1, 3, 6, 1, 4, 1, 9, 9, 54, 3, 1, 3)).setObjects(("CISCO-TN3270SERVER-MIB", "ciscoTn3270ServerMIBGroup"), ("CISCO-TN3270SERVER-MIB", "ciscoTn3270ServerMIBGroupRev1"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ciscoTn3270ServerMIBComplianceRev1 = ciscoTn3270ServerMIBComplianceRev1.setStatus('current')
ciscoTn3270ServerMIBGroupRev1 = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 54, 3, 2, 3)).setObjects(("CISCO-TN3270SERVER-MIB", "tn3270sPuIpPrecedenceScreen"), ("CISCO-TN3270SERVER-MIB", "tn3270sPuIpPrecedencePrinter"), ("CISCO-TN3270SERVER-MIB", "tn3270sPuIpTosScreen"), ("CISCO-TN3270SERVER-MIB", "tn3270sPuIpTosPrinter"), ("CISCO-TN3270SERVER-MIB", "tn3270sLuNail"), ("CISCO-TN3270SERVER-MIB", "tn3270sPuNailClientIpAddr"), ("CISCO-TN3270SERVER-MIB", "tn3270sPuNailClientIpMask"), ("CISCO-TN3270SERVER-MIB", "tn3270sPuNailType"), ("CISCO-TN3270SERVER-MIB", "tn3270sPuNailLuFirst"), ("CISCO-TN3270SERVER-MIB", "tn3270sPuNailLuLast"), ("CISCO-TN3270SERVER-MIB", "tn3270sIpNailClientIpAddr"), ("CISCO-TN3270SERVER-MIB", "tn3270sIpNailClientIpMask"), ("CISCO-TN3270SERVER-MIB", "tn3270sIpNailType"), ("CISCO-TN3270SERVER-MIB", "tn3270sIpNailLuFirst"), ("CISCO-TN3270SERVER-MIB", "tn3270sIpNailLuLast"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ciscoTn3270ServerMIBGroupRev1 = ciscoTn3270ServerMIBGroupRev1.setStatus('current')
mibBuilder.exportSymbols("CISCO-TN3270SERVER-MIB", tn3270sIpNailClientIpAddr=tn3270sIpNailClientIpAddr, tn3270sStartupTime=tn3270sStartupTime, ciscoTn3270ServerMIBGroupObsolete=ciscoTn3270ServerMIBGroupObsolete, tn3270sLu=tn3270sLu, tn3270sLusInUse=tn3270sLusInUse, tn3270sLuPuIndex=tn3270sLuPuIndex, tn3270sStatsEntry=tn3270sStatsEntry, tn3270sPuNailTable=tn3270sPuNailTable, tn3270sPuType=tn3270sPuType, PYSNMP_MODULE_ID=ciscoTn3270ServerMIB, tn3270sLuLfsid=tn3270sLuLfsid, ciscoTn3270ServerMIBComplianceObsolete=ciscoTn3270ServerMIBComplianceObsolete, tn3270sCpuCard=tn3270sCpuCard, tn3270sPuState=tn3270sPuState, tn3270sPuNailType=tn3270sPuNailType, tn3270sStatsTN3270ConnectsFailed=tn3270sStatsTN3270ConnectsFailed, tn3270sLocalSapAddress=tn3270sLocalSapAddress, tn3270sPuNailLuFirst=tn3270sPuNailLuFirst, tn3270sPuIdleTimeout=tn3270sPuIdleTimeout, tn3270sIpNailLuLast=tn3270sIpNailLuLast, tn3270sRemoteSapAddress=tn3270sRemoteSapAddress, ciscoTn3270ServerMIBConformance=ciscoTn3270ServerMIBConformance, tn3270sStatsServerTcpPort=tn3270sStatsServerTcpPort, tn3270sGlobalEntry=tn3270sGlobalEntry, tn3270sStatsNetSampledHostResponseTime=tn3270sStatsNetSampledHostResponseTime, Tn3270sUnsigned32=Tn3270sUnsigned32, tn3270sLuIdleTime=tn3270sLuIdleTime, tn3270sLuTelnetType=tn3270sLuTelnetType, Tn3270sCpuCard=Tn3270sCpuCard, tn3270sPuGenericPool=tn3270sPuGenericPool, tn3270sLuNail=tn3270sLuNail, tn3270sStatsOutboundChains=tn3270sStatsOutboundChains, tn3270sGlobalIdleTimeout=tn3270sGlobalIdleTimeout, tn3270sObjects=tn3270sObjects, tn3270sIpLuIndex=tn3270sIpLuIndex, ciscoTn3270ServerMIBNotificationPrefix=ciscoTn3270ServerMIBNotificationPrefix, tn3270sLuTable=tn3270sLuTable, tn3270sLuClientTcpPort=tn3270sLuClientTcpPort, tn3270sPuIndex=tn3270sPuIndex, tn3270sIpNailTable=tn3270sIpNailTable, tn3270sPuTable=tn3270sPuTable, tn3270sIpNailEntry=tn3270sIpNailEntry, tn3270sPuIpTosPrinter=tn3270sPuIpTosPrinter, tn3270sTimingMarkSupported=tn3270sTimingMarkSupported, ciscoTn3270ServerMIBGroupRev1=ciscoTn3270ServerMIBGroupRev1, tn3270sPuTcpPort=tn3270sPuTcpPort, tn3270sPuEntry=tn3270sPuEntry, ciscoTn3270ServerMIB=ciscoTn3270ServerMIB, tn3270sLuIndex=tn3270sLuIndex, Tn3270sLUIndex=Tn3270sLUIndex, tn3270sIpClientAddr=tn3270sIpClientAddr, tn3270sGlobalTcpPort=tn3270sGlobalTcpPort, tn3270sGlobalUnbindAction=tn3270sGlobalUnbindAction, tn3270sRemoteMacAddress=tn3270sRemoteMacAddress, tn3270sStatsSampledClientResponses=tn3270sStatsSampledClientResponses, ciscoTn3270ServerMIBCompliances=ciscoTn3270ServerMIBCompliances, tn3270sStatsConnectsIn=tn3270sStatsConnectsIn, Tn3270sTCPPort=Tn3270sTCPPort, tn3270sIpEntry=tn3270sIpEntry, tn3270sPuIpTosScreen=tn3270sPuIpTosScreen, tn3270sStatsInboundChains=tn3270sStatsInboundChains, tn3270sGlobalTable=tn3270sGlobalTable, tn3270sIpNail=tn3270sIpNail, tn3270sPuIpAddr=tn3270sPuIpAddr, tn3270sPuIpPrecedencePrinter=tn3270sPuIpPrecedencePrinter, tn3270sPuIpPrecedenceScreen=tn3270sPuIpPrecedenceScreen, tn3270sIpPuIndex=tn3270sIpPuIndex, tn3270sPuLuSeed=tn3270sPuLuSeed, tn3270sRunningTime=tn3270sRunningTime, tn3270sPuNailLuLast=tn3270sPuNailLuLast, ciscoTn3270ServerMIBGroups=ciscoTn3270ServerMIBGroups, tn3270sLuEvents=tn3270sLuEvents, tn3270sPuKeepAlive=tn3270sPuKeepAlive, tn3270sStats=tn3270sStats, tn3270sPuNailEntry=tn3270sPuNailEntry, tn3270sLuClientAddr=tn3270sLuClientAddr, tn3270sLuAppnLinkIndex=tn3270sLuAppnLinkIndex, tn3270sPuNailClientIpAddr=tn3270sPuNailClientIpAddr, tn3270sIp=tn3270sIp, tn3270sPuNail=tn3270sPuNail, tn3270sStatsServerAddr=tn3270sStatsServerAddr, tn3270sGlobalKeepAlive=tn3270sGlobalKeepAlive, tn3270sLuLastEvent=tn3270sLuLastEvent, tn3270sPu=tn3270sPu, tn3270sMaxLus=tn3270sMaxLus, tn3270sGlobalGenericPool=tn3270sGlobalGenericPool, tn3270sGlobal=tn3270sGlobal, tn3270sStatsMaxSess=tn3270sStatsMaxSess, tn3270sStatsSampledHostResponses=tn3270sStatsSampledHostResponses, tn3270sPuNailClientIpMask=tn3270sPuNailClientIpMask, tn3270sStatsDisconnects=tn3270sStatsDisconnects, tn3270sIpTable=tn3270sIpTable, ciscoTn3270ServerMIBComplianceRev1=ciscoTn3270ServerMIBComplianceRev1, Tn3270sPUIndex=Tn3270sPUIndex, tn3270sLuCurOutQsize=tn3270sLuCurOutQsize, tn3270sLuType=tn3270sLuType, tn3270sStatsSpareSess=tn3270sStatsSpareSess, ciscoTn3270ServerMIBGroup=ciscoTn3270ServerMIBGroup, tn3270sLuState=tn3270sLuState, tn3270sIpNailClientIpMask=tn3270sIpNailClientIpMask, tn3270sLuEntry=tn3270sLuEntry, tn3270sIndex=tn3270sIndex, tn3270sLuTermModel=tn3270sLuTermModel, tn3270sIpNailType=tn3270sIpNailType, tn3270sLuCurInbPacing=tn3270sLuCurInbPacing, tn3270sPuUnbindAction=tn3270sPuUnbindAction, ciscoTn3270ServerMIBCompliance=ciscoTn3270ServerMIBCompliance, tn3270sStatsNetSampledClientResponseTime=tn3270sStatsNetSampledClientResponseTime, tn3270sStatsTable=tn3270sStatsTable, tn3270sIpNailLuFirst=tn3270sIpNailLuFirst, tn3270sIpClientTcpPort=tn3270sIpClientTcpPort, tn3270sLuCurInbQsize=tn3270sLuCurInbQsize)
| (octet_string, integer, object_identifier) = mibBuilder.importSymbols('ASN1', 'OctetString', 'Integer', 'ObjectIdentifier')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(constraints_union, value_range_constraint, single_value_constraint, value_size_constraint, constraints_intersection) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ConstraintsUnion', 'ValueRangeConstraint', 'SingleValueConstraint', 'ValueSizeConstraint', 'ConstraintsIntersection')
(cisco_mgmt,) = mibBuilder.importSymbols('CISCO-SMI', 'ciscoMgmt')
(object_group, notification_group, module_compliance) = mibBuilder.importSymbols('SNMPv2-CONF', 'ObjectGroup', 'NotificationGroup', 'ModuleCompliance')
(counter64, gauge32, module_identity, bits, counter32, mib_scalar, mib_table, mib_table_row, mib_table_column, integer32, time_ticks, notification_type, ip_address, object_identity, iso, unsigned32, mib_identifier) = mibBuilder.importSymbols('SNMPv2-SMI', 'Counter64', 'Gauge32', 'ModuleIdentity', 'Bits', 'Counter32', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'Integer32', 'TimeTicks', 'NotificationType', 'IpAddress', 'ObjectIdentity', 'iso', 'Unsigned32', 'MibIdentifier')
(display_string, truth_value, mac_address, textual_convention, time_stamp) = mibBuilder.importSymbols('SNMPv2-TC', 'DisplayString', 'TruthValue', 'MacAddress', 'TextualConvention', 'TimeStamp')
cisco_tn3270_server_mib = module_identity((1, 3, 6, 1, 4, 1, 9, 9, 54))
ciscoTn3270ServerMIB.setRevisions(('1997-01-22 00:00', '1996-09-12 00:00'))
if mibBuilder.loadTexts:
ciscoTn3270ServerMIB.setLastUpdated('9701220000Z')
if mibBuilder.loadTexts:
ciscoTn3270ServerMIB.setOrganization('Cisco Systems, Inc.')
tn3270s_objects = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 54, 1))
tn3270s_global = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1))
tn3270s_stats = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2))
tn3270s_pu = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3))
tn3270s_ip = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 4))
tn3270s_lu = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5))
tn3270s_pu_nail = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 6))
tn3270s_ip_nail = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 7))
class Tn3270Sunsigned32(TextualConvention, Integer32):
status = 'current'
subtype_spec = Integer32.subtypeSpec + value_range_constraint(0, 4294967295)
class Tn3270Stcpport(TextualConvention, Integer32):
status = 'current'
subtype_spec = Integer32.subtypeSpec + value_range_constraint(0, 65535)
class Tn3270Spuindex(Tn3270sUnsigned32):
status = 'current'
class Tn3270Sluindex(Tn3270sUnsigned32):
status = 'current'
class Tn3270Scpucard(DisplayString):
status = 'current'
subtype_spec = DisplayString.subtypeSpec + value_size_constraint(10, 16)
tn3270s_global_table = mib_table((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1))
if mibBuilder.loadTexts:
tn3270sGlobalTable.setStatus('current')
tn3270s_global_entry = mib_table_row((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1, 1)).setIndexNames((0, 'CISCO-TN3270SERVER-MIB', 'tn3270sIndex'))
if mibBuilder.loadTexts:
tn3270sGlobalEntry.setStatus('current')
tn3270s_index = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1, 1, 1), tn3270s_unsigned32())
if mibBuilder.loadTexts:
tn3270sIndex.setStatus('current')
tn3270s_cpu_card = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1, 1, 2), tn3270s_cpu_card()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sCpuCard.setStatus('current')
tn3270s_max_lus = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1, 1, 3), tn3270s_unsigned32().subtype(subtypeSpec=value_range_constraint(1, 65535))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sMaxLus.setStatus('current')
tn3270s_lus_in_use = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1, 1, 4), gauge32().subtype(subtypeSpec=value_range_constraint(0, 65535))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sLusInUse.setStatus('current')
tn3270s_startup_time = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1, 1, 5), time_stamp()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sStartupTime.setStatus('current')
tn3270s_global_tcp_port = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1, 1, 6), tn3270s_tcp_port()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sGlobalTcpPort.setStatus('current')
tn3270s_global_idle_timeout = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1, 1, 7), integer32().subtype(subtypeSpec=value_range_constraint(0, 65534))).setUnits('seconds').setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sGlobalIdleTimeout.setStatus('current')
tn3270s_global_keep_alive = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1, 1, 8), integer32().subtype(subtypeSpec=value_range_constraint(0, 65534))).setUnits('seconds').setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sGlobalKeepAlive.setStatus('current')
tn3270s_global_unbind_action = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1, 1, 9), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('keep', 1), ('disconnect', 2)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sGlobalUnbindAction.setStatus('current')
tn3270s_global_generic_pool = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1, 1, 10), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('permit', 1), ('deny', 2)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sGlobalGenericPool.setStatus('current')
tn3270s_timing_mark_supported = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1, 1, 11), truth_value()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sTimingMarkSupported.setStatus('current')
tn3270s_running_time = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 1, 1, 1, 12), tn3270s_unsigned32()).setUnits('seconds').setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sRunningTime.setStatus('current')
tn3270s_stats_table = mib_table((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1))
if mibBuilder.loadTexts:
tn3270sStatsTable.setStatus('current')
tn3270s_stats_entry = mib_table_row((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1)).setIndexNames((0, 'CISCO-TN3270SERVER-MIB', 'tn3270sIndex'), (0, 'CISCO-TN3270SERVER-MIB', 'tn3270sStatsServerAddr'), (0, 'CISCO-TN3270SERVER-MIB', 'tn3270sStatsServerTcpPort'))
if mibBuilder.loadTexts:
tn3270sStatsEntry.setStatus('current')
tn3270s_stats_server_addr = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1, 1), ip_address())
if mibBuilder.loadTexts:
tn3270sStatsServerAddr.setStatus('current')
tn3270s_stats_server_tcp_port = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1, 2), tn3270s_tcp_port())
if mibBuilder.loadTexts:
tn3270sStatsServerTcpPort.setStatus('current')
tn3270s_stats_max_sess = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1, 3), gauge32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sStatsMaxSess.setStatus('current')
tn3270s_stats_spare_sess = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1, 4), gauge32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sStatsSpareSess.setStatus('current')
tn3270s_stats_connects_in = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1, 5), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sStatsConnectsIn.setStatus('current')
tn3270s_stats_disconnects = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1, 6), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sStatsDisconnects.setStatus('current')
tn3270s_stats_tn3270_connects_failed = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1, 7), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sStatsTN3270ConnectsFailed.setStatus('current')
tn3270s_stats_inbound_chains = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1, 8), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sStatsInboundChains.setStatus('current')
tn3270s_stats_outbound_chains = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1, 9), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sStatsOutboundChains.setStatus('current')
tn3270s_stats_sampled_host_responses = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1, 10), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sStatsSampledHostResponses.setStatus('current')
tn3270s_stats_net_sampled_host_response_time = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1, 11), tn3270s_unsigned32()).setUnits('10milliseconds').setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sStatsNetSampledHostResponseTime.setStatus('current')
tn3270s_stats_sampled_client_responses = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1, 12), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sStatsSampledClientResponses.setStatus('current')
tn3270s_stats_net_sampled_client_response_time = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 2, 1, 1, 13), tn3270s_unsigned32()).setUnits('10milliseconds').setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sStatsNetSampledClientResponseTime.setStatus('current')
tn3270s_pu_table = mib_table((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1))
if mibBuilder.loadTexts:
tn3270sPuTable.setStatus('current')
tn3270s_pu_entry = mib_table_row((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1)).setIndexNames((0, 'CISCO-TN3270SERVER-MIB', 'tn3270sIndex'), (0, 'CISCO-TN3270SERVER-MIB', 'tn3270sPuIndex'))
if mibBuilder.loadTexts:
tn3270sPuEntry.setStatus('current')
tn3270s_pu_index = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 1), tn3270s_pu_index())
if mibBuilder.loadTexts:
tn3270sPuIndex.setStatus('current')
tn3270s_pu_ip_addr = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 2), ip_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sPuIpAddr.setStatus('current')
tn3270s_pu_tcp_port = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 3), tn3270s_tcp_port()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sPuTcpPort.setStatus('current')
tn3270s_pu_idle_timeout = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 4), integer32().subtype(subtypeSpec=value_range_constraint(0, 65535))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sPuIdleTimeout.setStatus('current')
tn3270s_pu_keep_alive = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 5), integer32().subtype(subtypeSpec=value_range_constraint(0, 65535))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sPuKeepAlive.setStatus('current')
tn3270s_pu_unbind_action = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 6), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('keep', 1), ('disconnect', 2), ('inherit', 3)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sPuUnbindAction.setStatus('current')
tn3270s_pu_generic_pool = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 7), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('permit', 1), ('deny', 2), ('inherit', 3)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sPuGenericPool.setStatus('current')
tn3270s_pu_state = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 8), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6, 7, 8))).clone(namedValues=named_values(('shut', 1), ('reset', 2), ('inactive', 3), ('test', 4), ('xid', 5), ('pActpu', 6), ('active', 7), ('actBusy', 8)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sPuState.setStatus('current')
tn3270s_pu_type = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 9), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('dlur', 1), ('direct', 2)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sPuType.setStatus('current')
tn3270s_pu_lu_seed = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 10), display_string().subtype(subtypeSpec=value_size_constraint(1, 6))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sPuLuSeed.setStatus('current')
tn3270s_local_sap_address = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 11), integer32().subtype(subtypeSpec=value_range_constraint(1, 254))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sLocalSapAddress.setStatus('current')
tn3270s_remote_sap_address = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 12), integer32().subtype(subtypeSpec=value_range_constraint(1, 254))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sRemoteSapAddress.setStatus('current')
tn3270s_remote_mac_address = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 13), mac_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sRemoteMacAddress.setStatus('current')
tn3270s_pu_ip_precedence_screen = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 14), integer32().subtype(subtypeSpec=value_range_constraint(0, 7))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sPuIpPrecedenceScreen.setStatus('current')
tn3270s_pu_ip_precedence_printer = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 15), integer32().subtype(subtypeSpec=value_range_constraint(0, 7))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sPuIpPrecedencePrinter.setStatus('current')
tn3270s_pu_ip_tos_screen = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 16), integer32().subtype(subtypeSpec=value_range_constraint(0, 15))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sPuIpTosScreen.setStatus('current')
tn3270s_pu_ip_tos_printer = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 3, 1, 1, 17), integer32().subtype(subtypeSpec=value_range_constraint(0, 15))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sPuIpTosPrinter.setStatus('current')
tn3270s_ip_table = mib_table((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 4, 1))
if mibBuilder.loadTexts:
tn3270sIpTable.setStatus('current')
tn3270s_ip_entry = mib_table_row((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 4, 1, 1)).setIndexNames((0, 'CISCO-TN3270SERVER-MIB', 'tn3270sIndex'), (0, 'CISCO-TN3270SERVER-MIB', 'tn3270sIpClientAddr'), (0, 'CISCO-TN3270SERVER-MIB', 'tn3270sIpClientTcpPort'))
if mibBuilder.loadTexts:
tn3270sIpEntry.setStatus('current')
tn3270s_ip_client_addr = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 4, 1, 1, 1), ip_address())
if mibBuilder.loadTexts:
tn3270sIpClientAddr.setStatus('current')
tn3270s_ip_client_tcp_port = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 4, 1, 1, 2), tn3270s_tcp_port())
if mibBuilder.loadTexts:
tn3270sIpClientTcpPort.setStatus('current')
tn3270s_ip_pu_index = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 4, 1, 1, 3), tn3270s_pu_index()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sIpPuIndex.setStatus('current')
tn3270s_ip_lu_index = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 4, 1, 1, 4), tn3270s_lu_index()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sIpLuIndex.setStatus('current')
tn3270s_lu_table = mib_table((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1))
if mibBuilder.loadTexts:
tn3270sLuTable.setStatus('current')
tn3270s_lu_entry = mib_table_row((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1)).setIndexNames((0, 'CISCO-TN3270SERVER-MIB', 'tn3270sIndex'), (0, 'CISCO-TN3270SERVER-MIB', 'tn3270sLuPuIndex'), (0, 'CISCO-TN3270SERVER-MIB', 'tn3270sLuIndex'))
if mibBuilder.loadTexts:
tn3270sLuEntry.setStatus('current')
tn3270s_lu_pu_index = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 1), tn3270s_pu_index())
if mibBuilder.loadTexts:
tn3270sLuPuIndex.setStatus('current')
tn3270s_lu_index = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 2), tn3270s_lu_index())
if mibBuilder.loadTexts:
tn3270sLuIndex.setStatus('current')
tn3270s_lu_client_addr = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 3), ip_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sLuClientAddr.setStatus('current')
tn3270s_lu_client_tcp_port = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 4), tn3270s_tcp_port()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sLuClientTcpPort.setStatus('current')
tn3270s_lu_telnet_type = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 5), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('tn3270', 1), ('tn3270e', 2), ('neverConnect', 3)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sLuTelnetType.setStatus('current')
tn3270s_lu_term_model = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 6), display_string().subtype(subtypeSpec=value_size_constraint(1, 17))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sLuTermModel.setStatus('current')
tn3270s_lu_state = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 7), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13))).clone(namedValues=named_values(('inactive', 1), ('active', 2), ('pSdt', 3), ('actSession', 4), ('pActlu', 5), ('pNotifyAv', 6), ('pNotifyUa', 7), ('pReset', 8), ('pPsid', 9), ('pBind', 10), ('pUnbind', 11), ('unbindWt', 12), ('sdtWt', 13)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sLuState.setStatus('current')
tn3270s_lu_cur_inb_pacing = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 8), integer32().subtype(subtypeSpec=value_range_constraint(0, 63))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sLuCurInbPacing.setStatus('current')
tn3270s_lu_cur_inb_qsize = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 9), integer32().subtype(subtypeSpec=value_range_constraint(0, 63))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sLuCurInbQsize.setStatus('current')
tn3270s_lu_cur_out_qsize = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 10), integer32().subtype(subtypeSpec=value_range_constraint(0, 63))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sLuCurOutQsize.setStatus('current')
tn3270s_lu_idle_time = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 11), integer32().subtype(subtypeSpec=value_range_constraint(0, 65535))).setUnits('seconds').setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sLuIdleTime.setStatus('current')
tn3270s_lu_type = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 12), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('dynamic', 1), ('static', 2)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sLuType.setStatus('current')
tn3270s_lu_appn_link_index = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 13), display_string().subtype(subtypeSpec=value_size_constraint(1, 8))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sLuAppnLinkIndex.setStatus('current')
tn3270s_lu_lfsid = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 14), integer32().subtype(subtypeSpec=value_range_constraint(0, 65535))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sLuLfsid.setStatus('current')
tn3270s_lu_last_event = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 15), time_stamp()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sLuLastEvent.setStatus('obsolete')
tn3270s_lu_events = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 16), octet_string().subtype(subtypeSpec=value_size_constraint(0, 16))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sLuEvents.setStatus('current')
tn3270s_lu_nail = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 5, 1, 1, 17), truth_value()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sLuNail.setStatus('current')
tn3270s_pu_nail_table = mib_table((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 6, 1))
if mibBuilder.loadTexts:
tn3270sPuNailTable.setStatus('current')
tn3270s_pu_nail_entry = mib_table_row((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 6, 1, 1)).setIndexNames((0, 'CISCO-TN3270SERVER-MIB', 'tn3270sIndex'), (0, 'CISCO-TN3270SERVER-MIB', 'tn3270sPuIndex'), (0, 'CISCO-TN3270SERVER-MIB', 'tn3270sPuNailClientIpAddr'), (0, 'CISCO-TN3270SERVER-MIB', 'tn3270sPuNailLuFirst'))
if mibBuilder.loadTexts:
tn3270sPuNailEntry.setStatus('current')
tn3270s_pu_nail_client_ip_addr = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 6, 1, 1, 1), ip_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sPuNailClientIpAddr.setStatus('current')
tn3270s_pu_nail_client_ip_mask = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 6, 1, 1, 2), ip_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sPuNailClientIpMask.setStatus('current')
tn3270s_pu_nail_type = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 6, 1, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('screen', 1), ('printer', 2)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sPuNailType.setStatus('current')
tn3270s_pu_nail_lu_first = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 6, 1, 1, 4), integer32().subtype(subtypeSpec=value_range_constraint(1, 255))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sPuNailLuFirst.setStatus('current')
tn3270s_pu_nail_lu_last = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 6, 1, 1, 5), integer32().subtype(subtypeSpec=value_range_constraint(1, 255))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sPuNailLuLast.setStatus('current')
tn3270s_ip_nail_table = mib_table((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 7, 1))
if mibBuilder.loadTexts:
tn3270sIpNailTable.setStatus('current')
tn3270s_ip_nail_entry = mib_table_row((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 7, 1, 1)).setIndexNames((0, 'CISCO-TN3270SERVER-MIB', 'tn3270sIndex'), (0, 'CISCO-TN3270SERVER-MIB', 'tn3270sIpNailClientIpAddr'), (0, 'CISCO-TN3270SERVER-MIB', 'tn3270sPuIndex'), (0, 'CISCO-TN3270SERVER-MIB', 'tn3270sIpNailLuFirst'))
if mibBuilder.loadTexts:
tn3270sIpNailEntry.setStatus('current')
tn3270s_ip_nail_client_ip_addr = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 7, 1, 1, 1), ip_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sIpNailClientIpAddr.setStatus('current')
tn3270s_ip_nail_client_ip_mask = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 7, 1, 1, 2), ip_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sIpNailClientIpMask.setStatus('current')
tn3270s_ip_nail_type = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 7, 1, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('screen', 1), ('printer', 2)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sIpNailType.setStatus('current')
tn3270s_ip_nail_lu_first = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 7, 1, 1, 4), integer32().subtype(subtypeSpec=value_range_constraint(1, 255))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sIpNailLuFirst.setStatus('current')
tn3270s_ip_nail_lu_last = mib_table_column((1, 3, 6, 1, 4, 1, 9, 9, 54, 1, 7, 1, 1, 5), integer32().subtype(subtypeSpec=value_range_constraint(1, 255))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
tn3270sIpNailLuLast.setStatus('current')
cisco_tn3270_server_mib_notification_prefix = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 54, 2))
cisco_tn3270_server_mib_conformance = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 54, 3))
cisco_tn3270_server_mib_compliances = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 54, 3, 1))
cisco_tn3270_server_mib_groups = mib_identifier((1, 3, 6, 1, 4, 1, 9, 9, 54, 3, 2))
cisco_tn3270_server_mib_compliance = module_compliance((1, 3, 6, 1, 4, 1, 9, 9, 54, 3, 1, 1)).setObjects(('CISCO-TN3270SERVER-MIB', 'ciscoTn3270ServerMIBGroup'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cisco_tn3270_server_mib_compliance = ciscoTn3270ServerMIBCompliance.setStatus('current')
cisco_tn3270_server_mib_group = object_group((1, 3, 6, 1, 4, 1, 9, 9, 54, 3, 2, 1)).setObjects(('CISCO-TN3270SERVER-MIB', 'tn3270sCpuCard'), ('CISCO-TN3270SERVER-MIB', 'tn3270sMaxLus'), ('CISCO-TN3270SERVER-MIB', 'tn3270sLusInUse'), ('CISCO-TN3270SERVER-MIB', 'tn3270sStartupTime'), ('CISCO-TN3270SERVER-MIB', 'tn3270sGlobalTcpPort'), ('CISCO-TN3270SERVER-MIB', 'tn3270sGlobalIdleTimeout'), ('CISCO-TN3270SERVER-MIB', 'tn3270sGlobalKeepAlive'), ('CISCO-TN3270SERVER-MIB', 'tn3270sGlobalUnbindAction'), ('CISCO-TN3270SERVER-MIB', 'tn3270sGlobalGenericPool'), ('CISCO-TN3270SERVER-MIB', 'tn3270sTimingMarkSupported'), ('CISCO-TN3270SERVER-MIB', 'tn3270sRunningTime'), ('CISCO-TN3270SERVER-MIB', 'tn3270sStatsMaxSess'), ('CISCO-TN3270SERVER-MIB', 'tn3270sStatsSpareSess'), ('CISCO-TN3270SERVER-MIB', 'tn3270sStatsConnectsIn'), ('CISCO-TN3270SERVER-MIB', 'tn3270sStatsDisconnects'), ('CISCO-TN3270SERVER-MIB', 'tn3270sStatsTN3270ConnectsFailed'), ('CISCO-TN3270SERVER-MIB', 'tn3270sStatsInboundChains'), ('CISCO-TN3270SERVER-MIB', 'tn3270sStatsOutboundChains'), ('CISCO-TN3270SERVER-MIB', 'tn3270sStatsSampledHostResponses'), ('CISCO-TN3270SERVER-MIB', 'tn3270sStatsNetSampledHostResponseTime'), ('CISCO-TN3270SERVER-MIB', 'tn3270sStatsSampledClientResponses'), ('CISCO-TN3270SERVER-MIB', 'tn3270sStatsNetSampledClientResponseTime'), ('CISCO-TN3270SERVER-MIB', 'tn3270sPuIpAddr'), ('CISCO-TN3270SERVER-MIB', 'tn3270sPuTcpPort'), ('CISCO-TN3270SERVER-MIB', 'tn3270sPuIdleTimeout'), ('CISCO-TN3270SERVER-MIB', 'tn3270sPuKeepAlive'), ('CISCO-TN3270SERVER-MIB', 'tn3270sPuUnbindAction'), ('CISCO-TN3270SERVER-MIB', 'tn3270sPuGenericPool'), ('CISCO-TN3270SERVER-MIB', 'tn3270sPuState'), ('CISCO-TN3270SERVER-MIB', 'tn3270sPuType'), ('CISCO-TN3270SERVER-MIB', 'tn3270sPuLuSeed'), ('CISCO-TN3270SERVER-MIB', 'tn3270sLocalSapAddress'), ('CISCO-TN3270SERVER-MIB', 'tn3270sRemoteSapAddress'), ('CISCO-TN3270SERVER-MIB', 'tn3270sRemoteMacAddress'), ('CISCO-TN3270SERVER-MIB', 'tn3270sIpPuIndex'), ('CISCO-TN3270SERVER-MIB', 'tn3270sIpLuIndex'), ('CISCO-TN3270SERVER-MIB', 'tn3270sLuClientAddr'), ('CISCO-TN3270SERVER-MIB', 'tn3270sLuClientTcpPort'), ('CISCO-TN3270SERVER-MIB', 'tn3270sLuTelnetType'), ('CISCO-TN3270SERVER-MIB', 'tn3270sLuTermModel'), ('CISCO-TN3270SERVER-MIB', 'tn3270sLuState'), ('CISCO-TN3270SERVER-MIB', 'tn3270sLuCurInbPacing'), ('CISCO-TN3270SERVER-MIB', 'tn3270sLuCurInbQsize'), ('CISCO-TN3270SERVER-MIB', 'tn3270sLuCurOutQsize'), ('CISCO-TN3270SERVER-MIB', 'tn3270sLuIdleTime'), ('CISCO-TN3270SERVER-MIB', 'tn3270sLuType'), ('CISCO-TN3270SERVER-MIB', 'tn3270sLuAppnLinkIndex'), ('CISCO-TN3270SERVER-MIB', 'tn3270sLuLfsid'), ('CISCO-TN3270SERVER-MIB', 'tn3270sLuEvents'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cisco_tn3270_server_mib_group = ciscoTn3270ServerMIBGroup.setStatus('current')
cisco_tn3270_server_mib_compliance_obsolete = module_compliance((1, 3, 6, 1, 4, 1, 9, 9, 54, 3, 1, 2)).setObjects(('CISCO-TN3270SERVER-MIB', 'ciscoTn3270ServerMIBGroupObsolete'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cisco_tn3270_server_mib_compliance_obsolete = ciscoTn3270ServerMIBComplianceObsolete.setStatus('obsolete')
cisco_tn3270_server_mib_group_obsolete = object_group((1, 3, 6, 1, 4, 1, 9, 9, 54, 3, 2, 2)).setObjects(('CISCO-TN3270SERVER-MIB', 'tn3270sLuLastEvent'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cisco_tn3270_server_mib_group_obsolete = ciscoTn3270ServerMIBGroupObsolete.setStatus('obsolete')
cisco_tn3270_server_mib_compliance_rev1 = module_compliance((1, 3, 6, 1, 4, 1, 9, 9, 54, 3, 1, 3)).setObjects(('CISCO-TN3270SERVER-MIB', 'ciscoTn3270ServerMIBGroup'), ('CISCO-TN3270SERVER-MIB', 'ciscoTn3270ServerMIBGroupRev1'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cisco_tn3270_server_mib_compliance_rev1 = ciscoTn3270ServerMIBComplianceRev1.setStatus('current')
cisco_tn3270_server_mib_group_rev1 = object_group((1, 3, 6, 1, 4, 1, 9, 9, 54, 3, 2, 3)).setObjects(('CISCO-TN3270SERVER-MIB', 'tn3270sPuIpPrecedenceScreen'), ('CISCO-TN3270SERVER-MIB', 'tn3270sPuIpPrecedencePrinter'), ('CISCO-TN3270SERVER-MIB', 'tn3270sPuIpTosScreen'), ('CISCO-TN3270SERVER-MIB', 'tn3270sPuIpTosPrinter'), ('CISCO-TN3270SERVER-MIB', 'tn3270sLuNail'), ('CISCO-TN3270SERVER-MIB', 'tn3270sPuNailClientIpAddr'), ('CISCO-TN3270SERVER-MIB', 'tn3270sPuNailClientIpMask'), ('CISCO-TN3270SERVER-MIB', 'tn3270sPuNailType'), ('CISCO-TN3270SERVER-MIB', 'tn3270sPuNailLuFirst'), ('CISCO-TN3270SERVER-MIB', 'tn3270sPuNailLuLast'), ('CISCO-TN3270SERVER-MIB', 'tn3270sIpNailClientIpAddr'), ('CISCO-TN3270SERVER-MIB', 'tn3270sIpNailClientIpMask'), ('CISCO-TN3270SERVER-MIB', 'tn3270sIpNailType'), ('CISCO-TN3270SERVER-MIB', 'tn3270sIpNailLuFirst'), ('CISCO-TN3270SERVER-MIB', 'tn3270sIpNailLuLast'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cisco_tn3270_server_mib_group_rev1 = ciscoTn3270ServerMIBGroupRev1.setStatus('current')
mibBuilder.exportSymbols('CISCO-TN3270SERVER-MIB', tn3270sIpNailClientIpAddr=tn3270sIpNailClientIpAddr, tn3270sStartupTime=tn3270sStartupTime, ciscoTn3270ServerMIBGroupObsolete=ciscoTn3270ServerMIBGroupObsolete, tn3270sLu=tn3270sLu, tn3270sLusInUse=tn3270sLusInUse, tn3270sLuPuIndex=tn3270sLuPuIndex, tn3270sStatsEntry=tn3270sStatsEntry, tn3270sPuNailTable=tn3270sPuNailTable, tn3270sPuType=tn3270sPuType, PYSNMP_MODULE_ID=ciscoTn3270ServerMIB, tn3270sLuLfsid=tn3270sLuLfsid, ciscoTn3270ServerMIBComplianceObsolete=ciscoTn3270ServerMIBComplianceObsolete, tn3270sCpuCard=tn3270sCpuCard, tn3270sPuState=tn3270sPuState, tn3270sPuNailType=tn3270sPuNailType, tn3270sStatsTN3270ConnectsFailed=tn3270sStatsTN3270ConnectsFailed, tn3270sLocalSapAddress=tn3270sLocalSapAddress, tn3270sPuNailLuFirst=tn3270sPuNailLuFirst, tn3270sPuIdleTimeout=tn3270sPuIdleTimeout, tn3270sIpNailLuLast=tn3270sIpNailLuLast, tn3270sRemoteSapAddress=tn3270sRemoteSapAddress, ciscoTn3270ServerMIBConformance=ciscoTn3270ServerMIBConformance, tn3270sStatsServerTcpPort=tn3270sStatsServerTcpPort, tn3270sGlobalEntry=tn3270sGlobalEntry, tn3270sStatsNetSampledHostResponseTime=tn3270sStatsNetSampledHostResponseTime, Tn3270sUnsigned32=Tn3270sUnsigned32, tn3270sLuIdleTime=tn3270sLuIdleTime, tn3270sLuTelnetType=tn3270sLuTelnetType, Tn3270sCpuCard=Tn3270sCpuCard, tn3270sPuGenericPool=tn3270sPuGenericPool, tn3270sLuNail=tn3270sLuNail, tn3270sStatsOutboundChains=tn3270sStatsOutboundChains, tn3270sGlobalIdleTimeout=tn3270sGlobalIdleTimeout, tn3270sObjects=tn3270sObjects, tn3270sIpLuIndex=tn3270sIpLuIndex, ciscoTn3270ServerMIBNotificationPrefix=ciscoTn3270ServerMIBNotificationPrefix, tn3270sLuTable=tn3270sLuTable, tn3270sLuClientTcpPort=tn3270sLuClientTcpPort, tn3270sPuIndex=tn3270sPuIndex, tn3270sIpNailTable=tn3270sIpNailTable, tn3270sPuTable=tn3270sPuTable, tn3270sIpNailEntry=tn3270sIpNailEntry, tn3270sPuIpTosPrinter=tn3270sPuIpTosPrinter, tn3270sTimingMarkSupported=tn3270sTimingMarkSupported, ciscoTn3270ServerMIBGroupRev1=ciscoTn3270ServerMIBGroupRev1, tn3270sPuTcpPort=tn3270sPuTcpPort, tn3270sPuEntry=tn3270sPuEntry, ciscoTn3270ServerMIB=ciscoTn3270ServerMIB, tn3270sLuIndex=tn3270sLuIndex, Tn3270sLUIndex=Tn3270sLUIndex, tn3270sIpClientAddr=tn3270sIpClientAddr, tn3270sGlobalTcpPort=tn3270sGlobalTcpPort, tn3270sGlobalUnbindAction=tn3270sGlobalUnbindAction, tn3270sRemoteMacAddress=tn3270sRemoteMacAddress, tn3270sStatsSampledClientResponses=tn3270sStatsSampledClientResponses, ciscoTn3270ServerMIBCompliances=ciscoTn3270ServerMIBCompliances, tn3270sStatsConnectsIn=tn3270sStatsConnectsIn, Tn3270sTCPPort=Tn3270sTCPPort, tn3270sIpEntry=tn3270sIpEntry, tn3270sPuIpTosScreen=tn3270sPuIpTosScreen, tn3270sStatsInboundChains=tn3270sStatsInboundChains, tn3270sGlobalTable=tn3270sGlobalTable, tn3270sIpNail=tn3270sIpNail, tn3270sPuIpAddr=tn3270sPuIpAddr, tn3270sPuIpPrecedencePrinter=tn3270sPuIpPrecedencePrinter, tn3270sPuIpPrecedenceScreen=tn3270sPuIpPrecedenceScreen, tn3270sIpPuIndex=tn3270sIpPuIndex, tn3270sPuLuSeed=tn3270sPuLuSeed, tn3270sRunningTime=tn3270sRunningTime, tn3270sPuNailLuLast=tn3270sPuNailLuLast, ciscoTn3270ServerMIBGroups=ciscoTn3270ServerMIBGroups, tn3270sLuEvents=tn3270sLuEvents, tn3270sPuKeepAlive=tn3270sPuKeepAlive, tn3270sStats=tn3270sStats, tn3270sPuNailEntry=tn3270sPuNailEntry, tn3270sLuClientAddr=tn3270sLuClientAddr, tn3270sLuAppnLinkIndex=tn3270sLuAppnLinkIndex, tn3270sPuNailClientIpAddr=tn3270sPuNailClientIpAddr, tn3270sIp=tn3270sIp, tn3270sPuNail=tn3270sPuNail, tn3270sStatsServerAddr=tn3270sStatsServerAddr, tn3270sGlobalKeepAlive=tn3270sGlobalKeepAlive, tn3270sLuLastEvent=tn3270sLuLastEvent, tn3270sPu=tn3270sPu, tn3270sMaxLus=tn3270sMaxLus, tn3270sGlobalGenericPool=tn3270sGlobalGenericPool, tn3270sGlobal=tn3270sGlobal, tn3270sStatsMaxSess=tn3270sStatsMaxSess, tn3270sStatsSampledHostResponses=tn3270sStatsSampledHostResponses, tn3270sPuNailClientIpMask=tn3270sPuNailClientIpMask, tn3270sStatsDisconnects=tn3270sStatsDisconnects, tn3270sIpTable=tn3270sIpTable, ciscoTn3270ServerMIBComplianceRev1=ciscoTn3270ServerMIBComplianceRev1, Tn3270sPUIndex=Tn3270sPUIndex, tn3270sLuCurOutQsize=tn3270sLuCurOutQsize, tn3270sLuType=tn3270sLuType, tn3270sStatsSpareSess=tn3270sStatsSpareSess, ciscoTn3270ServerMIBGroup=ciscoTn3270ServerMIBGroup, tn3270sLuState=tn3270sLuState, tn3270sIpNailClientIpMask=tn3270sIpNailClientIpMask, tn3270sLuEntry=tn3270sLuEntry, tn3270sIndex=tn3270sIndex, tn3270sLuTermModel=tn3270sLuTermModel, tn3270sIpNailType=tn3270sIpNailType, tn3270sLuCurInbPacing=tn3270sLuCurInbPacing, tn3270sPuUnbindAction=tn3270sPuUnbindAction, ciscoTn3270ServerMIBCompliance=ciscoTn3270ServerMIBCompliance, tn3270sStatsNetSampledClientResponseTime=tn3270sStatsNetSampledClientResponseTime, tn3270sStatsTable=tn3270sStatsTable, tn3270sIpNailLuFirst=tn3270sIpNailLuFirst, tn3270sIpClientTcpPort=tn3270sIpClientTcpPort, tn3270sLuCurInbQsize=tn3270sLuCurInbQsize) |
MAGIC = [20210318223204031831, 1145141919810]
BASE58 = '123456789abcdefghijkmnopqrstuvwxyzABCDEFGHJKLMNPQRSTUVWXYZ'
def encode(msg: str) -> str:
temp = 0
for m in msg:
temp = temp * 256 + ord(m)
temp = (temp ^ MAGIC[0]) + MAGIC[1]
msg = ''
while temp:
msg = BASE58[temp % 58] + msg
temp //= 58
return msg
def decode(msg: str) -> str:
temp = 0
for m in msg:
temp = temp * 58 + BASE58.index(m)
temp = temp - MAGIC[1] ^ MAGIC[0]
msg = ''
while temp:
msg = chr(temp % 256) + msg
temp //= 256
return msg
if __name__ == '__main__':
print(encode('1145141919'))
| magic = [20210318223204031831, 1145141919810]
base58 = '123456789abcdefghijkmnopqrstuvwxyzABCDEFGHJKLMNPQRSTUVWXYZ'
def encode(msg: str) -> str:
temp = 0
for m in msg:
temp = temp * 256 + ord(m)
temp = (temp ^ MAGIC[0]) + MAGIC[1]
msg = ''
while temp:
msg = BASE58[temp % 58] + msg
temp //= 58
return msg
def decode(msg: str) -> str:
temp = 0
for m in msg:
temp = temp * 58 + BASE58.index(m)
temp = temp - MAGIC[1] ^ MAGIC[0]
msg = ''
while temp:
msg = chr(temp % 256) + msg
temp //= 256
return msg
if __name__ == '__main__':
print(encode('1145141919')) |
def binary_search(arr, item):
low = 0
high = len(arr)-1
result = -1
while (low <= high):
mid = (low + high)//2
if item == arr[mid]:
result = mid
high = mid - 1
elif (item < arr[mid]):
high = mid - 1
else:
low = mid + 1
return result
| def binary_search(arr, item):
low = 0
high = len(arr) - 1
result = -1
while low <= high:
mid = (low + high) // 2
if item == arr[mid]:
result = mid
high = mid - 1
elif item < arr[mid]:
high = mid - 1
else:
low = mid + 1
return result |
n = int(input())
if n == 1:
print('x')
elif n % 2 == 0:
for x in range(n//2):
print(" " * x + "\\" + " " * 2*(n//2-(x+1)) + "/")
for x in range(n//2):
print(" " * (n//2-(x+1)) + "/" + " " * 2*x + "\\")
elif (n % 2) == 1:
for i in range(n//2):
print(" " * i + "\\" + " " * (2*(n//2-(i+1))+1) + "/")
print(" " * ((n//2)) + "X")
for i in range(n//2):
print(" " * (n//2-(i+1)) + "/" + " " * ((2*i)+1) + "\\")
rows_cols = int(input())
if rows_cols == 1:
print("X")
elif (rows_cols % 2) == 0:
for i in range(rows_cols//2):
print(" " * i + "\\" + " " * 2*(rows_cols//2-(i+1)) + "/")
for i in range(rows_cols//2):
print(" " * (rows_cols//2-(i+1)) + "/" + " " * 2*i + "\\")
elif (rows_cols % 2) == 1:
for i in range(rows_cols//2):
print(" " * i + "\\" + " " * (2*(rows_cols//2-(i+1))+1) + "/")
print(" " * ((rows_cols//2)) + "X")
for i in range(rows_cols//2):
print(" " * (rows_cols//2-(i+1)) + "/" + " " * ((2*i)+1) + "\\")
| n = int(input())
if n == 1:
print('x')
elif n % 2 == 0:
for x in range(n // 2):
print(' ' * x + '\\' + ' ' * 2 * (n // 2 - (x + 1)) + '/')
for x in range(n // 2):
print(' ' * (n // 2 - (x + 1)) + '/' + ' ' * 2 * x + '\\')
elif n % 2 == 1:
for i in range(n // 2):
print(' ' * i + '\\' + ' ' * (2 * (n // 2 - (i + 1)) + 1) + '/')
print(' ' * (n // 2) + 'X')
for i in range(n // 2):
print(' ' * (n // 2 - (i + 1)) + '/' + ' ' * (2 * i + 1) + '\\')
rows_cols = int(input())
if rows_cols == 1:
print('X')
elif rows_cols % 2 == 0:
for i in range(rows_cols // 2):
print(' ' * i + '\\' + ' ' * 2 * (rows_cols // 2 - (i + 1)) + '/')
for i in range(rows_cols // 2):
print(' ' * (rows_cols // 2 - (i + 1)) + '/' + ' ' * 2 * i + '\\')
elif rows_cols % 2 == 1:
for i in range(rows_cols // 2):
print(' ' * i + '\\' + ' ' * (2 * (rows_cols // 2 - (i + 1)) + 1) + '/')
print(' ' * (rows_cols // 2) + 'X')
for i in range(rows_cols // 2):
print(' ' * (rows_cols // 2 - (i + 1)) + '/' + ' ' * (2 * i + 1) + '\\') |
#!/usr/bin/python
line = "Przykladoy tekst do zadania z przedmiotu Python"
allWords = line.split()
result = sum(len(x) for x in allWords)
print(result)
| line = 'Przykladoy tekst do zadania z przedmiotu Python'
all_words = line.split()
result = sum((len(x) for x in allWords))
print(result) |
params={
'enc_type': 'lstm',
'dec_type': 'lstm',
'nz': 32,
'ni': 128,
'enc_nh': 512,
'dec_nh': 512,
'log_niter': 50,
'dec_dropout_in': 0.5,
'dec_dropout_out': 0.5,
'batch_size': 32,
'epochs': 100,
'test_nepoch': 5,
'train_data': 'datasets/snli_data/snli.train.txt',
'val_data': 'datasets/snli_data/snli.valid.txt',
'test_data': 'datasets/snli_data/snli.test.txt',
'ais_prior': 'normal',
'ais_T': 500,
'ais_K': 3,
"label": False
}
| params = {'enc_type': 'lstm', 'dec_type': 'lstm', 'nz': 32, 'ni': 128, 'enc_nh': 512, 'dec_nh': 512, 'log_niter': 50, 'dec_dropout_in': 0.5, 'dec_dropout_out': 0.5, 'batch_size': 32, 'epochs': 100, 'test_nepoch': 5, 'train_data': 'datasets/snli_data/snli.train.txt', 'val_data': 'datasets/snli_data/snli.valid.txt', 'test_data': 'datasets/snli_data/snli.test.txt', 'ais_prior': 'normal', 'ais_T': 500, 'ais_K': 3, 'label': False} |
while True:
s = input("[>] Enter string (for exit enter empty string): ")
if s:
print(f"[+] Lenght of string: {len(s)}")
else:
break
| while True:
s = input('[>] Enter string (for exit enter empty string): ')
if s:
print(f'[+] Lenght of string: {len(s)}')
else:
break |
for i in range(int(input())):
fact=1
a=int(input())
for j in range(1,a+1,1):
fact=fact*j
print(fact) | for i in range(int(input())):
fact = 1
a = int(input())
for j in range(1, a + 1, 1):
fact = fact * j
print(fact) |
createElement = React.createElement
createContext = React.createContext
forwardRef = React.forwardRef
Component = ReactComponent = React.Component
useState = React.useState
useEffect = React.useEffect
useContext = React.useContext
useReducer = React.useReducer
useCallback = React.useCallback
useMemo = React.useMemo
useRef = React.useRef
useImperativeHandle = React.useImperativeHandle
useLayoutEffect = React.useLayoutEffect
useDebugValue = React.useDebugValue
def withDeps(*deps):
useHook = this
def decorator(fn):
useHook(fn, deps)
return fn
return decorator
useEffect.withDeps = withDeps
useLayoutEffect.withDeps = withDeps
def useCallbackWithDeps(*deps):
def decorator(fn):
return React.useCallback(fn, deps)
return decorator
useCallback.withDeps = useCallbackWithDeps
| create_element = React.createElement
create_context = React.createContext
forward_ref = React.forwardRef
component = react_component = React.Component
use_state = React.useState
use_effect = React.useEffect
use_context = React.useContext
use_reducer = React.useReducer
use_callback = React.useCallback
use_memo = React.useMemo
use_ref = React.useRef
use_imperative_handle = React.useImperativeHandle
use_layout_effect = React.useLayoutEffect
use_debug_value = React.useDebugValue
def with_deps(*deps):
use_hook = this
def decorator(fn):
use_hook(fn, deps)
return fn
return decorator
useEffect.withDeps = withDeps
useLayoutEffect.withDeps = withDeps
def use_callback_with_deps(*deps):
def decorator(fn):
return React.useCallback(fn, deps)
return decorator
useCallback.withDeps = useCallbackWithDeps |
class dotLoadCommonAttributes_t(object):
# no doc
aPartFilter=None
AutomaticPrimaryAxisWeight=None
BoundingBoxDx=None
BoundingBoxDy=None
BoundingBoxDz=None
CreateFixedSupportConditionsAutomatically=None
FatherId=None
LoadAttachment=None
LoadDispersionAngle=None
LoadGroupId=None
ModelObject=None
PartNames=None
PrimaryAxisDirection=None
Spanning=None
Weight=None
| class Dotloadcommonattributes_T(object):
a_part_filter = None
automatic_primary_axis_weight = None
bounding_box_dx = None
bounding_box_dy = None
bounding_box_dz = None
create_fixed_support_conditions_automatically = None
father_id = None
load_attachment = None
load_dispersion_angle = None
load_group_id = None
model_object = None
part_names = None
primary_axis_direction = None
spanning = None
weight = None |
class Graph:
def __init__(self, vertices):
self.__nodes = vertices
self.__edges = {}
def add_edges(self, node1,node2):
if (min(node1,node2),max(node1,node2)) in self.__edges:
self.__edges[(min(node1,node2),max(node1,node2))] += 1
else:
self.__edges[(min(node1,node2),max(node1,node2))] = 0
def add_edges_from_list(self, lista):
aux = 0
pares_criados = [(min(val1,val2), max(val1,val2))
for val1 in lista[:len(lista)//2]
for val2 in lista[aux+1:] if val1 != val2 ]
for par in pares_criados:
if par in self.__edges:
self.__edges[par] += 1
else:
self.__edges[par] = 0
def get_edges(self):
return self.__edges
| class Graph:
def __init__(self, vertices):
self.__nodes = vertices
self.__edges = {}
def add_edges(self, node1, node2):
if (min(node1, node2), max(node1, node2)) in self.__edges:
self.__edges[min(node1, node2), max(node1, node2)] += 1
else:
self.__edges[min(node1, node2), max(node1, node2)] = 0
def add_edges_from_list(self, lista):
aux = 0
pares_criados = [(min(val1, val2), max(val1, val2)) for val1 in lista[:len(lista) // 2] for val2 in lista[aux + 1:] if val1 != val2]
for par in pares_criados:
if par in self.__edges:
self.__edges[par] += 1
else:
self.__edges[par] = 0
def get_edges(self):
return self.__edges |
lista = []
listaPar = []
listaImpar = []
continuar ='s'
while continuar in 'Ss':
valor = int(input('Insira o seu numero : '))
lista.append(valor)
if valor % 2 == 0 :
listaPar.append(valor)
if valor % 2 == 1 :
listaImpar.append(valor)
continuar = str(input('Continuar [S/N] ?'))
print('Lista completa',lista)
print('Lista par',listaPar)
print('Lista impar : ',listaImpar) | lista = []
lista_par = []
lista_impar = []
continuar = 's'
while continuar in 'Ss':
valor = int(input('Insira o seu numero : '))
lista.append(valor)
if valor % 2 == 0:
listaPar.append(valor)
if valor % 2 == 1:
listaImpar.append(valor)
continuar = str(input('Continuar [S/N] ?'))
print('Lista completa', lista)
print('Lista par', listaPar)
print('Lista impar : ', listaImpar) |
name = "S - Interfering Lines"
description = "Oscilloscope lines overlap"
knob1 = "Number of Lines"
knob2 = "Outer Spread"
knob3 = "Center Spread"
knob4 = "Color"
released = "March 21 2017"
| name = 'S - Interfering Lines'
description = 'Oscilloscope lines overlap'
knob1 = 'Number of Lines'
knob2 = 'Outer Spread'
knob3 = 'Center Spread'
knob4 = 'Color'
released = 'March 21 2017' |
def precision_S(y_test, y_pred):
corr_negative, corr_issue, corr_solution = 0, 0, 0
count_negative, count_issue, count_solution = 0, 0, 0
for i, prediction in enumerate(y_pred):
if prediction[0] == 1:
count_negative += 1
if y_test[i][0] == 1:
corr_negative += 1
if prediction[1] == 1:
count_issue += 1
if y_test[i][1] == 1:
corr_issue += 1
# if prediction[2] == 1:
# count_solution += 1
# if y_test[i][2] == 1:
# corr_solution += 1
precision_negative = float(corr_negative) / float(count_negative)
precision_issue = float(corr_issue) / float(count_issue)
# precision_solution = float(corr_solution) / float(count_solution)
return precision_issue
def recall_S(y_test, y_pred):
# truth_number = 0
# corr_number = 0
corr_negative, corr_issue, corr_solution = 0, 0, 0
count_negative, count_issue, count_solution = 0, 0, 0
for i, testing in enumerate(y_test):
if testing[0] == 1:
count_negative += 1
if y_pred[i][0] == 1:
corr_negative += 1
if testing[1] == 1:
count_issue += 1
if y_pred[i][1] == 1:
corr_issue += 1
# if testing[2] == 1:
# count_solution += 1
# if y_pred[i][2] == 1:
# corr_solution += 1
# test_pos_list = []
# for j in range(3):
# if testing[j] == 1:
# test_pos_list.append(j)
# if 0 not in test_pos_list and (1 in test_pos_list or 2 in test_pos_list):
# truth_number += 1
# for truth_index in test_pos_list:
# if y_pred[i][truth_index] == 1 and truth_index != 0:
# corr_number += 1
# break
recall_negative = float(corr_negative) / float(count_negative)
recall_issue = float(corr_issue) / float(count_issue)
# recall_solution = float(corr_solution) / float(count_solution)
return recall_issue | def precision_s(y_test, y_pred):
(corr_negative, corr_issue, corr_solution) = (0, 0, 0)
(count_negative, count_issue, count_solution) = (0, 0, 0)
for (i, prediction) in enumerate(y_pred):
if prediction[0] == 1:
count_negative += 1
if y_test[i][0] == 1:
corr_negative += 1
if prediction[1] == 1:
count_issue += 1
if y_test[i][1] == 1:
corr_issue += 1
precision_negative = float(corr_negative) / float(count_negative)
precision_issue = float(corr_issue) / float(count_issue)
return precision_issue
def recall_s(y_test, y_pred):
(corr_negative, corr_issue, corr_solution) = (0, 0, 0)
(count_negative, count_issue, count_solution) = (0, 0, 0)
for (i, testing) in enumerate(y_test):
if testing[0] == 1:
count_negative += 1
if y_pred[i][0] == 1:
corr_negative += 1
if testing[1] == 1:
count_issue += 1
if y_pred[i][1] == 1:
corr_issue += 1
recall_negative = float(corr_negative) / float(count_negative)
recall_issue = float(corr_issue) / float(count_issue)
return recall_issue |
def cmn_denom(num, denom):
while num % denom != 0:
old_num = num
old_denon = denom
num = old_denon
denom = old_num % old_denon
return denom
class Fraction:
def __init__(self, num, denom):
self.num = num
self.denom = denom
def __str__(self):
return str(self.num) + " / " + str(self.denom)
def __add__(self, other):
new_num = self.num * other.denom + self.denom * other.num
new_den = self.denom * other.denom
common_den = cmn_denom(new_num, new_den)
return Fraction(new_num // common_den, new_den // common_den)
def __sub__(self, other):
new_num = self.num * other.denom - self.denom * other.num
new_den = self.denom * other.denom
common_den = cmn_denom(new_num, new_den)
return Fraction(new_num // common_den, new_den // common_den)
def __mul__(self, other):
new_num = self.num * other.num
new_den = self.denom * other.denom
common_den = cmn_denom(new_num, new_den)
return Fraction(new_num // common_den, new_den // common_den)
def __truediv__(self, other):
new_num = self.num * other.denom
new_den = self.denom * other.num
common_den = cmn_denom(new_num, new_den)
return Fraction(new_num // common_den, new_den // common_den)
if __name__ == '__main__':
fraction1 = Fraction(4, 5)
fraction2 = Fraction(1, 8)
print(fraction1 + fraction2)
print(fraction1 - fraction2)
print(fraction1 * fraction2)
print(fraction1 / fraction2)
| def cmn_denom(num, denom):
while num % denom != 0:
old_num = num
old_denon = denom
num = old_denon
denom = old_num % old_denon
return denom
class Fraction:
def __init__(self, num, denom):
self.num = num
self.denom = denom
def __str__(self):
return str(self.num) + ' / ' + str(self.denom)
def __add__(self, other):
new_num = self.num * other.denom + self.denom * other.num
new_den = self.denom * other.denom
common_den = cmn_denom(new_num, new_den)
return fraction(new_num // common_den, new_den // common_den)
def __sub__(self, other):
new_num = self.num * other.denom - self.denom * other.num
new_den = self.denom * other.denom
common_den = cmn_denom(new_num, new_den)
return fraction(new_num // common_den, new_den // common_den)
def __mul__(self, other):
new_num = self.num * other.num
new_den = self.denom * other.denom
common_den = cmn_denom(new_num, new_den)
return fraction(new_num // common_den, new_den // common_den)
def __truediv__(self, other):
new_num = self.num * other.denom
new_den = self.denom * other.num
common_den = cmn_denom(new_num, new_den)
return fraction(new_num // common_den, new_den // common_den)
if __name__ == '__main__':
fraction1 = fraction(4, 5)
fraction2 = fraction(1, 8)
print(fraction1 + fraction2)
print(fraction1 - fraction2)
print(fraction1 * fraction2)
print(fraction1 / fraction2) |
jill = 10
iack = 10
print(str(iack)+" "+str(jill))
for i in range(iack):
print(i)
for j in range(jill):
print(jill + j*2)
print("0 0")
| jill = 10
iack = 10
print(str(iack) + ' ' + str(jill))
for i in range(iack):
print(i)
for j in range(jill):
print(jill + j * 2)
print('0 0') |
#for defining n inputs from the user
print('enter 0 to stop.\n')
def enter(x):
while x:
x=input()
x=input()
enter(x)
#------------------ done ---------------------------
| print('enter 0 to stop.\n')
def enter(x):
while x:
x = input()
x = input()
enter(x) |
def f():
x = 8
def g():
nonlocal x
x = 9
return x
| def f():
x = 8
def g():
nonlocal x
x = 9
return x |
'''
Leser filer gitt filnavn
'''
| """
Leser filer gitt filnavn
""" |
# area_of_n-sided_polygon.py
# https://www.codewars.com/kata/5727500a20c7f837fc001869/train/python
# We use the "shoelace formula" to calculate the area.
# https://www.101computing.net/the-shoelace-algorithm/
def area_polygon(vertex):
if len(vertex) < 3:
return -1
a = vertex[len(vertex) - 1][0]*vertex[0][1]
b = vertex[len(vertex) - 1][1]*vertex[0][0]
for i in range(len(vertex) - 1):
a += vertex[i][0] * vertex[i + 1][1]
b += vertex[i][1] * vertex[i + 1][0]
return round((abs(a - b) / 2), 1) # Round to nearest 1/10.
if __name__ == "__main__":
print(area_polygon([(1, 1), (3, 4), (6, 1)]))
print(area_polygon([(1, 3), (3, 3), (3, 1), (1, 1)]))
print(area_polygon([(0, 5), (3, 3), (2, -3), (-2, -3), (-3, 3)]))
| def area_polygon(vertex):
if len(vertex) < 3:
return -1
a = vertex[len(vertex) - 1][0] * vertex[0][1]
b = vertex[len(vertex) - 1][1] * vertex[0][0]
for i in range(len(vertex) - 1):
a += vertex[i][0] * vertex[i + 1][1]
b += vertex[i][1] * vertex[i + 1][0]
return round(abs(a - b) / 2, 1)
if __name__ == '__main__':
print(area_polygon([(1, 1), (3, 4), (6, 1)]))
print(area_polygon([(1, 3), (3, 3), (3, 1), (1, 1)]))
print(area_polygon([(0, 5), (3, 3), (2, -3), (-2, -3), (-3, 3)])) |
add_library('opencv_processing')
img = None
opencv = None
def setup():
img = loadImage("test.jpg")
size(img.width, img.height, P2D)
opencv = OpenCV(this, img)
def draw():
opencv.loadImage(img)
opencv.brightness(int(map(mouseX, 0, width, -255, 255)))
image(opencv.getOutput(), 0, 0)
| add_library('opencv_processing')
img = None
opencv = None
def setup():
img = load_image('test.jpg')
size(img.width, img.height, P2D)
opencv = open_cv(this, img)
def draw():
opencv.loadImage(img)
opencv.brightness(int(map(mouseX, 0, width, -255, 255)))
image(opencv.getOutput(), 0, 0) |
def controllo_input(n):
if len(n) < 4:
raise TypeError("Errore: il numero deve avere minimo 4 cifre")
def ordina_crescente(n):
return "".join(sorted(n))
def ordina_decrescente(n):
return "".join(reversed(sorted(n)))
def costante_kaprekar(n):
iterazioni_max_kaprekar = 7
for i in range(iterazioni_max_kaprekar):
kaprekar = int(ordina_decrescente(str(n))) - int(ordina_crescente(str(n)))
print("Iterazioni:", i+1, ">>", int(ordina_decrescente(str(n))), "-", int(ordina_crescente(str(n))), "=", kaprekar)
n = kaprekar
if n == 6174 or n == 0:
print("Numero di iterazioni:", i+1)
break
def main():
print("Costante di Kaprekar\n")
n = str(input(">> "))
controllo_input(n)
costante_kaprekar(n)
if __name__ == "__main__":
main()
| def controllo_input(n):
if len(n) < 4:
raise type_error('Errore: il numero deve avere minimo 4 cifre')
def ordina_crescente(n):
return ''.join(sorted(n))
def ordina_decrescente(n):
return ''.join(reversed(sorted(n)))
def costante_kaprekar(n):
iterazioni_max_kaprekar = 7
for i in range(iterazioni_max_kaprekar):
kaprekar = int(ordina_decrescente(str(n))) - int(ordina_crescente(str(n)))
print('Iterazioni:', i + 1, '>>', int(ordina_decrescente(str(n))), '-', int(ordina_crescente(str(n))), '=', kaprekar)
n = kaprekar
if n == 6174 or n == 0:
print('Numero di iterazioni:', i + 1)
break
def main():
print('Costante di Kaprekar\n')
n = str(input('>> '))
controllo_input(n)
costante_kaprekar(n)
if __name__ == '__main__':
main() |
def dato(diametro):
if diametro == 1:
# varilla de 8mm
return 0.40
if diametro == 0:
# varilla de 12mm
return 0.60
if diametro == 2:
# varilla de 14mm
return 0.70
if diametro == 3:
# varilla de 16mm
return 0.80
if diametro == 4:
# varilla de 18mm
return 0.90
if diametro == 5:
# varilla de 20mm
return 1
| def dato(diametro):
if diametro == 1:
return 0.4
if diametro == 0:
return 0.6
if diametro == 2:
return 0.7
if diametro == 3:
return 0.8
if diametro == 4:
return 0.9
if diametro == 5:
return 1 |
match x:
case Class(1,
foo=2,
bar=3):
pass | match x:
case Class(1, foo=2, bar=3):
pass |
# https://leetcode.com/problems/minimize-maximum-pair-sum-in-array
class Solution:
def minPairSum(self, nums: List[int]) -> int:
nums = sorted(nums)
ans = 0
for i in range(len(nums) // 2):
val = nums[i] + nums[-1 - i]
ans = max(ans, val)
return ans
| class Solution:
def min_pair_sum(self, nums: List[int]) -> int:
nums = sorted(nums)
ans = 0
for i in range(len(nums) // 2):
val = nums[i] + nums[-1 - i]
ans = max(ans, val)
return ans |
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