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# this should accept a command as a string, and raturn a string detailing the issue
# if <command> is not a valid vanilla minecraft command. None otherwise.
def check(command):
return None
| def check(command):
return None |
print("One")
print("Two")
print("Three")
| print('One')
print('Two')
print('Three') |
'''
Created on Jul 19, 2012
@author: Chris
'''
class Command(object):
def validate(self, game):
pass
def execute(self, game):
pass | """
Created on Jul 19, 2012
@author: Chris
"""
class Command(object):
def validate(self, game):
pass
def execute(self, game):
pass |
# menu_text.py
#
# simple python menu
# https://stackoverflow.com/questions/19964603/creating-a-menu-in-python
#
city_menu = { '1': 'Chicago',
'2': 'New York',
'3': 'Washington',
'x': 'Exit'}
month_menu = {'0': 'All',
'1': 'January',
'2': 'February',
'3': 'March',
'4': 'April',
'5': 'May',
'6': 'June',
'x': 'Exit'}
weekday_menu = {'0': 'All',
'1': 'Monday',
'2': 'Tuesday',
'3': 'Wednesday',
'4': 'Thursday',
'5': 'Friday',
'6': 'Saturday',
'7': 'Sunday',
'x': 'Exit'}
def get_menu_item(menu):
while True:
print('------------')
print('Menu Options')
print('------------')
options = list(menu.keys())
options.sort()
for entry in options:
print( entry, menu[entry] )
selection = input("Please Select: ")
# in case X entered for exit
if selection.isupper():
selection = selection.lower()
if selection in options:
#print(menu[selection])
break
else:
print( "Unknown Option Selected!" )
return selection
def main():
city_selected = get_menu_item(city_menu)
print('\n Selected Selected City: ', city_menu[city_selected])
month_selected = get_menu_item(month_menu)
print('\n Selected Month: ', month_menu[month_selected])
print("month", month_selected)
day_selected = get_menu_item(weekday_menu)
print('\n Selected Weekday: ', weekday_menu[day_selected])
if __name__ == "__main__":
main()
| city_menu = {'1': 'Chicago', '2': 'New York', '3': 'Washington', 'x': 'Exit'}
month_menu = {'0': 'All', '1': 'January', '2': 'February', '3': 'March', '4': 'April', '5': 'May', '6': 'June', 'x': 'Exit'}
weekday_menu = {'0': 'All', '1': 'Monday', '2': 'Tuesday', '3': 'Wednesday', '4': 'Thursday', '5': 'Friday', '6': 'Saturday', '7': 'Sunday', 'x': 'Exit'}
def get_menu_item(menu):
while True:
print('------------')
print('Menu Options')
print('------------')
options = list(menu.keys())
options.sort()
for entry in options:
print(entry, menu[entry])
selection = input('Please Select: ')
if selection.isupper():
selection = selection.lower()
if selection in options:
break
else:
print('Unknown Option Selected!')
return selection
def main():
city_selected = get_menu_item(city_menu)
print('\n Selected Selected City: ', city_menu[city_selected])
month_selected = get_menu_item(month_menu)
print('\n Selected Month: ', month_menu[month_selected])
print('month', month_selected)
day_selected = get_menu_item(weekday_menu)
print('\n Selected Weekday: ', weekday_menu[day_selected])
if __name__ == '__main__':
main() |
hex_strings = [
"FF 81 BD A5 A5 BD 81 FF",
"AA 55 AA 55 AA 55 AA 55",
"3E 7F FC F8 F8 FC 7F 3E",
"93 93 93 F3 F3 93 93 93",
]
def hex_data_to_image(hex_data):
for hex_pair in hex_data:
for divisor in reversed(range(len(hex_data))):
print("X" if (int(hex_pair, 16) >> divisor & 1) == 1 else " ", end="")
print()
if __name__ == "__main__":
for x in range(len(hex_strings)):
hex_data = hex_strings[x].split(' ')
hex_data_to_image(hex_data)
| hex_strings = ['FF 81 BD A5 A5 BD 81 FF', 'AA 55 AA 55 AA 55 AA 55', '3E 7F FC F8 F8 FC 7F 3E', '93 93 93 F3 F3 93 93 93']
def hex_data_to_image(hex_data):
for hex_pair in hex_data:
for divisor in reversed(range(len(hex_data))):
print('X' if int(hex_pair, 16) >> divisor & 1 == 1 else ' ', end='')
print()
if __name__ == '__main__':
for x in range(len(hex_strings)):
hex_data = hex_strings[x].split(' ')
hex_data_to_image(hex_data) |
# -*- coding: utf-8 -*-
# Copy this file and renamed it settings.py and change the values for your own project
# The csv file containing the information about the member.
# There is three columns: The name, the email and the member type: 0 regular, 1 life time
CSV_FILE = "path to csv file"
# The svg file for regular member. {name} and {email} are going to be replaced with the corresponding values from the
# csv file
SVG_FILE_REGULAR = "path to svg regular member file"
# Same as SVG_FILE_REGULAR but for life time member
SVG_FILE_LIFE_TIME = "path to svg life time member file"
# Destination folder where the member cards will be generated. If the folder does not exist yet it will be created.
DEST_GENERATED_FOLDER = "path to folder that will contain the generated files"
# The message file used as the text body for the email message. UTF-8.
MSG_FILE = "/Users/pierre/Documents/LPA/CA/carte_membre_msg"
# SMTP configuration
SMPT_HOST = "myserver.com"
SMPT_PORT = 587
SMTP_USER = "user_name"
SMTP_PASSWORD = "password"
# Email configuration
EMAIL_FROM = "[email protected]"
EMAIL_SUBJECT = "subject"
EMAIL_PDF = "name of attachment file.pdf"
| csv_file = 'path to csv file'
svg_file_regular = 'path to svg regular member file'
svg_file_life_time = 'path to svg life time member file'
dest_generated_folder = 'path to folder that will contain the generated files'
msg_file = '/Users/pierre/Documents/LPA/CA/carte_membre_msg'
smpt_host = 'myserver.com'
smpt_port = 587
smtp_user = 'user_name'
smtp_password = 'password'
email_from = '[email protected]'
email_subject = 'subject'
email_pdf = 'name of attachment file.pdf' |
i = 0
while (i<119):
print(i)
i+=10
| i = 0
while i < 119:
print(i)
i += 10 |
# The shape of the numbers for the dice
dice = { 1: [[None, None, None], [None, "", None], [None, None, None]],
2: [["", None, None], [None, None, None], [None, None, ""]],
3: [["", None, None], [None, "", None], [None, None, ""]],
4: [["", None, ""], [None, None, None], ["", None, ""]],
5: [["", None, ""], [None, "", None], ["", None, ""]],
6: [["", None, ""], ["", None, ""], ["", None, ""]]}
dice_cnt = 3
def setup():
# Variable initialization
global dice_no, score, count, debug
dice_no = []
score = 0
count = 0
debug = True
size(130 * dice_cnt, 155)
def draw():
global dice_no, score, count
textAlign(TOP, LEFT)
textSize(12)
# Clear the previous draws on the screen
clear()
fill(255)
rect(0, 0, width, height)
if dice_no == []:
pushMatrix()
fill(0)
textAlign(CENTER, CENTER)
textSize(8*dice_cnt)
text("Click anywhere to roll the dice!", width/2, height/2)
popMatrix()
basex = 35 + width/2 - (dice_cnt * 130) / 2
if debug:
basey = 60
else:
basey = 30
for i in range(len(dice_no)):
bx = (basex+i*130)
# Fill the whole field with color x
fill(232, 227, 218)
# Draw a rect, this will be the dice
rect(bx-30, basey-30, 120, 120, 12, 12, 12, 12)
if dice_no != []:
for y in range(len(dice[dice_no[i]])):
for x in range(len(dice[dice_no[i]][y])):
if dice[dice_no[i]][y][x] != None:
# Draw the eye's of the dice, in the desired color
fill(0)
ellipse(bx + (x * 30), basey + (y * 30), 20, 20)
if debug and dice_no != []:
text("score: " + str(score) + " - Count: " + str(count) + " - Dice_No: " + str(dice_no), 0, 20)
def mousePressed():
global dice_no, score, count
if mouseButton == LEFT:
score = 0
count = 0
# Get a random value for the dice
dice_no = [int(random(1,7)) for x in range(dice_cnt)]
score = sum(dice_no)
| dice = {1: [[None, None, None], [None, '', None], [None, None, None]], 2: [['', None, None], [None, None, None], [None, None, '']], 3: [['', None, None], [None, '', None], [None, None, '']], 4: [['', None, ''], [None, None, None], ['', None, '']], 5: [['', None, ''], [None, '', None], ['', None, '']], 6: [['', None, ''], ['', None, ''], ['', None, '']]}
dice_cnt = 3
def setup():
global dice_no, score, count, debug
dice_no = []
score = 0
count = 0
debug = True
size(130 * dice_cnt, 155)
def draw():
global dice_no, score, count
text_align(TOP, LEFT)
text_size(12)
clear()
fill(255)
rect(0, 0, width, height)
if dice_no == []:
push_matrix()
fill(0)
text_align(CENTER, CENTER)
text_size(8 * dice_cnt)
text('Click anywhere to roll the dice!', width / 2, height / 2)
pop_matrix()
basex = 35 + width / 2 - dice_cnt * 130 / 2
if debug:
basey = 60
else:
basey = 30
for i in range(len(dice_no)):
bx = basex + i * 130
fill(232, 227, 218)
rect(bx - 30, basey - 30, 120, 120, 12, 12, 12, 12)
if dice_no != []:
for y in range(len(dice[dice_no[i]])):
for x in range(len(dice[dice_no[i]][y])):
if dice[dice_no[i]][y][x] != None:
fill(0)
ellipse(bx + x * 30, basey + y * 30, 20, 20)
if debug and dice_no != []:
text('score: ' + str(score) + ' - Count: ' + str(count) + ' - Dice_No: ' + str(dice_no), 0, 20)
def mouse_pressed():
global dice_no, score, count
if mouseButton == LEFT:
score = 0
count = 0
dice_no = [int(random(1, 7)) for x in range(dice_cnt)]
score = sum(dice_no) |
__author__ = "Music"
# MNIST For ML Beginners
# https://www.tensorflow.org/versions/r0.9/tutorials/mnist/beginners/index.html
| __author__ = 'Music' |
# -*- coding: utf-8 -*-
CHECKLIST_MAPPING = {
'checklist_retrieve': {
'resource': '/checklists/{id}',
'docs': (
'https://developers.trello.com/v1.0/reference'
'#checklistsid'
),
'methods': ['GET'],
},
'checklist_field_retrieve': {
'resource': '/checklists/{id}/{field}',
'docs': (
'https://developers.trello.com/v1.0/reference'
'#checklistsidfield'
),
'methods': ['GET'],
},
'checklist_board_retrieve': {
'resource': '/checklists/{id}/board',
'docs': (
'https://developers.trello.com/v1.0/reference'
'#checklistsidboard'
),
'methods': ['GET'],
},
'checklist_card_retrieve': {
'resource': '/checklists/{id}/cards',
'docs': (
'https://developers.trello.com/v1.0/reference'
'#checklistsidcards'
),
'methods': ['GET'],
},
'checklist_item_list': {
'resource': '/checklists/{id}/checkItems',
'docs': (
'https://developers.trello.com/v1.0/reference'
'#checklistsidcardscheckitems'
),
'methods': ['GET'],
},
'checklist_item_retrieve': {
'resource': '/checklists/{id}/checkItems/{idCheckItem}',
'docs': (
'https://developers.trello.com/v1.0/reference'
'#checklistsidcardscheckitemscheckitemid'
),
'methods': ['GET'],
},
'checklist_update': {
'resource': '/checklists/{id}',
'docs': (
'https://developers.trello.com/v1.0/reference'
'#checklistsid-1'
),
'methods': ['PUT'],
},
'checklist_item_update': {
'resource': '/checklists/{id}/checkItems/{idCheckItem}',
'docs': (
'https://developers.trello.com/v1.0/reference'
'#checklistsidcheckitemsidcheckitem'
),
'methods': ['PUT'],
},
'checklist_name_update': {
'resource': '/checklists/{id}/name',
'docs': (
'https://developers.trello.com/v1.0/reference'
'#checklistsidname'
),
'methods': ['PUT'],
},
'checklist_create': {
'resource': '/checklists',
'docs': (
'https://developers.trello.com/v1.0/reference'
'#checklists'
),
'methods': ['POST'],
},
'checklist_item_create': {
'resource': '/checklists/{id}/checkItems',
'docs': (
'https://developers.trello.com/v1.0/reference'
'#checklistsidcheckitems'
),
'methods': ['POST'],
},
'checklist_delete': {
'resource': '/checklists/{id}',
'docs': (
'https://developers.trello.com/v1.0/reference'
'#checklistsid-2'
),
'methods': ['DELETE'],
},
'checklist_item_delete': {
'resource': '/checklists/{id}/checkItems/{idCheckItem}',
'docs': (
'https://developers.trello.com/v1.0/reference'
'#checklistsidcheckitemsid'
),
'methods': ['DELETE'],
},
}
| checklist_mapping = {'checklist_retrieve': {'resource': '/checklists/{id}', 'docs': 'https://developers.trello.com/v1.0/reference#checklistsid', 'methods': ['GET']}, 'checklist_field_retrieve': {'resource': '/checklists/{id}/{field}', 'docs': 'https://developers.trello.com/v1.0/reference#checklistsidfield', 'methods': ['GET']}, 'checklist_board_retrieve': {'resource': '/checklists/{id}/board', 'docs': 'https://developers.trello.com/v1.0/reference#checklistsidboard', 'methods': ['GET']}, 'checklist_card_retrieve': {'resource': '/checklists/{id}/cards', 'docs': 'https://developers.trello.com/v1.0/reference#checklistsidcards', 'methods': ['GET']}, 'checklist_item_list': {'resource': '/checklists/{id}/checkItems', 'docs': 'https://developers.trello.com/v1.0/reference#checklistsidcardscheckitems', 'methods': ['GET']}, 'checklist_item_retrieve': {'resource': '/checklists/{id}/checkItems/{idCheckItem}', 'docs': 'https://developers.trello.com/v1.0/reference#checklistsidcardscheckitemscheckitemid', 'methods': ['GET']}, 'checklist_update': {'resource': '/checklists/{id}', 'docs': 'https://developers.trello.com/v1.0/reference#checklistsid-1', 'methods': ['PUT']}, 'checklist_item_update': {'resource': '/checklists/{id}/checkItems/{idCheckItem}', 'docs': 'https://developers.trello.com/v1.0/reference#checklistsidcheckitemsidcheckitem', 'methods': ['PUT']}, 'checklist_name_update': {'resource': '/checklists/{id}/name', 'docs': 'https://developers.trello.com/v1.0/reference#checklistsidname', 'methods': ['PUT']}, 'checklist_create': {'resource': '/checklists', 'docs': 'https://developers.trello.com/v1.0/reference#checklists', 'methods': ['POST']}, 'checklist_item_create': {'resource': '/checklists/{id}/checkItems', 'docs': 'https://developers.trello.com/v1.0/reference#checklistsidcheckitems', 'methods': ['POST']}, 'checklist_delete': {'resource': '/checklists/{id}', 'docs': 'https://developers.trello.com/v1.0/reference#checklistsid-2', 'methods': ['DELETE']}, 'checklist_item_delete': {'resource': '/checklists/{id}/checkItems/{idCheckItem}', 'docs': 'https://developers.trello.com/v1.0/reference#checklistsidcheckitemsid', 'methods': ['DELETE']}} |
days = int(input())
sladkar = int(input())
cake = int(input())
gofreta = int(input())
pancake = int(input())
cake_price = cake*45
gofreta_price = gofreta*5.8
pancake_price = pancake*3.2
day_price = (cake_price + gofreta_price + pancake_price)*sladkar
total_price = days*day_price
campaign = total_price - (total_price/8)
print(campaign) | days = int(input())
sladkar = int(input())
cake = int(input())
gofreta = int(input())
pancake = int(input())
cake_price = cake * 45
gofreta_price = gofreta * 5.8
pancake_price = pancake * 3.2
day_price = (cake_price + gofreta_price + pancake_price) * sladkar
total_price = days * day_price
campaign = total_price - total_price / 8
print(campaign) |
n = int(input())
lst = list(map(int, input().split()))
def sort1(arr):
l = len(arr)
for i in range(1, n):
cur = arr[i]
pos = i
check = False
while pos > 0:
if arr[pos - 1] > cur:
check = True
arr[pos] = arr[pos - 1]
else:
break
pos -= 1
arr[pos] = cur
if check:
for j in range(len(arr)):
print(arr[j], end=' ')
print('')
sort1(lst)
| n = int(input())
lst = list(map(int, input().split()))
def sort1(arr):
l = len(arr)
for i in range(1, n):
cur = arr[i]
pos = i
check = False
while pos > 0:
if arr[pos - 1] > cur:
check = True
arr[pos] = arr[pos - 1]
else:
break
pos -= 1
arr[pos] = cur
if check:
for j in range(len(arr)):
print(arr[j], end=' ')
print('')
sort1(lst) |
radiobutton_style = '''
QRadioButton:disabled {
background: transparent;
}
QRadioButton::indicator {
background: palette(dark);
width: 8px;
height: 8px;
border: 3px solid palette(dark);
border-radius: 7px;
}
QRadioButton::indicator:checked {
background: palette(highlight);
}
QRadioButton::indicator:checked:disabled {
background: palette(midlight);
}
''' | radiobutton_style = '\nQRadioButton:disabled {\n background: transparent;\n}\n\nQRadioButton::indicator {\n background: palette(dark);\n width: 8px;\n height: 8px;\n border: 3px solid palette(dark);\n border-radius: 7px;\n}\n\nQRadioButton::indicator:checked {\n background: palette(highlight);\n}\n\nQRadioButton::indicator:checked:disabled {\n background: palette(midlight);\n}\n' |
#
# PySNMP MIB module ERI-DNX-STS1-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ERI-DNX-STS1-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 18:51:50 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
ObjectIdentifier, Integer, OctetString = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "Integer", "OctetString")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ValueSizeConstraint, ValueRangeConstraint, SingleValueConstraint, ConstraintsUnion, ConstraintsIntersection = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "ValueRangeConstraint", "SingleValueConstraint", "ConstraintsUnion", "ConstraintsIntersection")
DecisionType, LinkCmdStatus, PortStatus, LinkPortAddress, FunctionSwitch, devices, trapSequence = mibBuilder.importSymbols("ERI-DNX-SMC-MIB", "DecisionType", "LinkCmdStatus", "PortStatus", "LinkPortAddress", "FunctionSwitch", "devices", "trapSequence")
eriMibs, = mibBuilder.importSymbols("ERI-ROOT-SMI", "eriMibs")
NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance")
MibScalar, MibTable, MibTableRow, MibTableColumn, NotificationType, Integer32, Gauge32, IpAddress, Counter64, ObjectIdentity, iso, Unsigned32, MibIdentifier, Counter32, Bits, TimeTicks, ModuleIdentity = mibBuilder.importSymbols("SNMPv2-SMI", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "NotificationType", "Integer32", "Gauge32", "IpAddress", "Counter64", "ObjectIdentity", "iso", "Unsigned32", "MibIdentifier", "Counter32", "Bits", "TimeTicks", "ModuleIdentity")
DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention")
eriDNXSts1MIB = ModuleIdentity((1, 3, 6, 1, 4, 1, 644, 3, 4))
if mibBuilder.loadTexts: eriDNXSts1MIB.setLastUpdated('200204080000Z')
if mibBuilder.loadTexts: eriDNXSts1MIB.setOrganization('Eastern Research, Inc.')
dnxSTS1 = MibIdentifier((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3))
sts1Config = MibIdentifier((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1))
sts1Diag = MibIdentifier((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2))
class VtGroupType(TextualConvention, Integer32):
status = 'current'
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(0, 1))
namedValues = NamedValues(("vt2-0-e1", 0), ("vt1-5-ds1", 1))
sts1MapperConfigTable = MibTable((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1), )
if mibBuilder.loadTexts: sts1MapperConfigTable.setStatus('current')
sts1MapperConfigEntry = MibTableRow((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1), ).setIndexNames((0, "ERI-DNX-STS1-MIB", "sts1MapperAddr"))
if mibBuilder.loadTexts: sts1MapperConfigEntry.setStatus('current')
sts1MapperAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1, 1), LinkPortAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1MapperAddr.setStatus('current')
sts1MapperResource = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1, 2), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1MapperResource.setStatus('current')
sts1VtGroup1 = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1, 3), VtGroupType()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1VtGroup1.setStatus('current')
sts1VtGroup2 = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1, 4), VtGroupType()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1VtGroup2.setStatus('current')
sts1VtGroup3 = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1, 5), VtGroupType()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1VtGroup3.setStatus('current')
sts1VtGroup4 = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1, 6), VtGroupType()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1VtGroup4.setStatus('current')
sts1VtGroup5 = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1, 7), VtGroupType()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1VtGroup5.setStatus('current')
sts1VtGroup6 = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1, 8), VtGroupType()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1VtGroup6.setStatus('current')
sts1VtGroup7 = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1, 9), VtGroupType()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1VtGroup7.setStatus('current')
sts1VtMapping = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1, 10), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1))).clone(namedValues=NamedValues(("standardVT", 0), ("sequencialFrm", 1)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1VtMapping.setStatus('current')
sts1Timing = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1, 11), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1))).clone(namedValues=NamedValues(("internal", 0), ("ec1-Line", 1)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sts1Timing.setStatus('current')
sts1ShortCable = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1, 12), FunctionSwitch()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sts1ShortCable.setStatus('current')
sts1MaprCmdStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1, 13), LinkCmdStatus()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sts1MaprCmdStatus.setStatus('current')
sts1T1E1LinkConfigTable = MibTable((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2), )
if mibBuilder.loadTexts: sts1T1E1LinkConfigTable.setStatus('current')
sts1T1E1LinkConfigEntry = MibTableRow((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1), ).setIndexNames((0, "ERI-DNX-STS1-MIB", "sts1T1E1CfgLinkAddr"))
if mibBuilder.loadTexts: sts1T1E1LinkConfigEntry.setStatus('current')
sts1T1E1CfgLinkAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1, 1), LinkPortAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1T1E1CfgLinkAddr.setStatus('current')
sts1T1E1CfgResource = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1, 2), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1T1E1CfgResource.setStatus('current')
sts1T1E1CfgLinkName = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1, 3), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 20))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sts1T1E1CfgLinkName.setStatus('current')
sts1T1E1Status = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1, 4), PortStatus()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sts1T1E1Status.setStatus('current')
sts1T1E1Clear = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2))).clone(namedValues=NamedValues(("disabled", 0), ("framed", 1), ("unframed", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sts1T1E1Clear.setStatus('current')
sts1T1E1Framing = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(5, 6, 7))).clone(namedValues=NamedValues(("t1Esf", 5), ("t1D4", 6), ("t1Unframed", 7)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sts1T1E1Framing.setStatus('current')
sts1T1E1NetLoop = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1, 7), FunctionSwitch()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sts1T1E1NetLoop.setStatus('current')
sts1T1E1YelAlrm = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1, 8), DecisionType()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sts1T1E1YelAlrm.setStatus('current')
sts1T1E1RecoverTime = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(3, 10, 15))).clone(namedValues=NamedValues(("timeout-3-secs", 3), ("timeout-10-secs", 10), ("timeout-15-secs", 15)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sts1T1E1RecoverTime.setStatus('current')
sts1T1E1EsfFormat = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1, 10), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1))).clone(namedValues=NamedValues(("att-54016", 0), ("ansi-t1-403", 1)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sts1T1E1EsfFormat.setStatus('current')
sts1T1E1IdleCode = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1, 11), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1))).clone(namedValues=NamedValues(("busy", 0), ("idle", 1)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sts1T1E1IdleCode.setStatus('current')
sts1T1E1CfgCmdStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1, 12), LinkCmdStatus()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sts1T1E1CfgCmdStatus.setStatus('current')
sts1T1E1Gr303Facility = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1, 13), DecisionType()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1T1E1Gr303Facility.setStatus('obsolete')
sts1MapperStatusTable = MibTable((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1), )
if mibBuilder.loadTexts: sts1MapperStatusTable.setStatus('current')
sts1MapperStatusEntry = MibTableRow((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1, 1), ).setIndexNames((0, "ERI-DNX-STS1-MIB", "sts1MapperStatusAddr"))
if mibBuilder.loadTexts: sts1MapperStatusEntry.setStatus('current')
sts1MapperStatusAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1, 1, 1), LinkPortAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1MapperStatusAddr.setStatus('current')
sts1MapperStatusResource = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1, 1, 2), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1MapperStatusResource.setStatus('current')
sts1MapperStatusState = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 32, 256, 512, 1024, 8192, 131072, 2147483647))).clone(namedValues=NamedValues(("ok", 0), ("lof", 32), ("lop", 256), ("oof", 512), ("ais", 1024), ("los", 8192), ("lomf", 131072), ("errors", 2147483647)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1MapperStatusState.setStatus('current')
sts1MapperStatusLOSErrs = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1, 1, 4), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1MapperStatusLOSErrs.setStatus('current')
sts1MapperStatusOOFErrs = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1, 1, 5), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1MapperStatusOOFErrs.setStatus('current')
sts1MapperStatusLOFErrs = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1, 1, 6), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1MapperStatusLOFErrs.setStatus('current')
sts1MapperStatusLOPtrErrs = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1, 1, 7), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1MapperStatusLOPtrErrs.setStatus('current')
sts1MapperStatusAISErrs = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1, 1, 8), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1MapperStatusAISErrs.setStatus('current')
sts1MapperStatusMultiFErrs = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1, 1, 9), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1MapperStatusMultiFErrs.setStatus('current')
sts1MapperStatusRxTraceErrs = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1, 1, 10), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1MapperStatusRxTraceErrs.setStatus('current')
sts1MapperStatusTotErrSecs = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1, 1, 11), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1MapperStatusTotErrSecs.setStatus('current')
sts1MapperStatusCmdStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1, 1, 12), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 14, 101, 114, 200, 206, 500, 501, 502))).clone(namedValues=NamedValues(("ready-for-command", 0), ("update", 1), ("clearErrors", 14), ("update-successful", 101), ("clear-successful", 114), ("err-general-test-error", 200), ("err-field-cannot-be-set", 206), ("err-snmp-parse-failed", 500), ("err-invalid-snmp-type", 501), ("err-invalid-snmp-var-size", 502)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sts1MapperStatusCmdStatus.setStatus('current')
sts1LIUTable = MibTable((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2), )
if mibBuilder.loadTexts: sts1LIUTable.setStatus('current')
sts1LIUEntry = MibTableRow((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2, 1), ).setIndexNames((0, "ERI-DNX-STS1-MIB", "sts1LIUAddr"))
if mibBuilder.loadTexts: sts1LIUEntry.setStatus('current')
sts1LIUAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2, 1, 1), LinkPortAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1LIUAddr.setStatus('current')
sts1LIUResource = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2, 1, 2), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1LIUResource.setStatus('current')
sts1LIUBertState = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(45, 44))).clone(namedValues=NamedValues(("off", 45), ("liu-bert", 44)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sts1LIUBertState.setStatus('current')
sts1LIUBertErrSecs = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2, 1, 4), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1LIUBertErrSecs.setStatus('current')
sts1LIUBertDuration = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2, 1, 5), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1LIUBertDuration.setStatus('current')
sts1LIULoopType = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 39))).clone(namedValues=NamedValues(("off", 0), ("mapper", 1), ("liu", 39)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sts1LIULoopType.setStatus('current')
sts1LIUDigitalErrs = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2, 1, 7), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1LIUDigitalErrs.setStatus('current')
sts1LIUAnalogErrs = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2, 1, 8), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1LIUAnalogErrs.setStatus('current')
sts1LIUExcessZeros = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2, 1, 9), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1LIUExcessZeros.setStatus('current')
sts1LIUCodingViolationErrs = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2, 1, 10), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1LIUCodingViolationErrs.setStatus('current')
sts1LIUPRBSErrs = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2, 1, 11), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sts1LIUPRBSErrs.setStatus('current')
sts1LIUCmdStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2, 1, 12), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 14, 101, 114, 200, 202, 203, 205, 206, 500, 501, 502))).clone(namedValues=NamedValues(("ready-for-command", 0), ("update", 1), ("clearErrors", 14), ("update-successful", 101), ("clear-successful", 114), ("err-general-test-error", 200), ("err-invalid-loop-type", 202), ("err-invalid-bert-type", 203), ("err-test-in-progress", 205), ("err-field-cannot-be-set", 206), ("err-snmp-parse-failed", 500), ("err-invalid-snmp-type", 501), ("err-invalid-snmp-var-size", 502)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sts1LIUCmdStatus.setStatus('current')
dnxSTS1Enterprise = ObjectIdentity((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 0))
if mibBuilder.loadTexts: dnxSTS1Enterprise.setStatus('current')
sts1MapperConfigTrap = NotificationType((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 0, 1)).setObjects(("ERI-DNX-SMC-MIB", "trapSequence"), ("ERI-DNX-STS1-MIB", "sts1MapperAddr"), ("ERI-DNX-STS1-MIB", "sts1MaprCmdStatus"))
if mibBuilder.loadTexts: sts1MapperConfigTrap.setStatus('current')
sts1T1E1ConfigTrap = NotificationType((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 0, 2)).setObjects(("ERI-DNX-SMC-MIB", "trapSequence"), ("ERI-DNX-STS1-MIB", "sts1T1E1CfgLinkAddr"), ("ERI-DNX-STS1-MIB", "sts1T1E1CfgCmdStatus"))
if mibBuilder.loadTexts: sts1T1E1ConfigTrap.setStatus('current')
mibBuilder.exportSymbols("ERI-DNX-STS1-MIB", sts1MapperStatusCmdStatus=sts1MapperStatusCmdStatus, sts1MapperStatusTotErrSecs=sts1MapperStatusTotErrSecs, sts1MapperStatusEntry=sts1MapperStatusEntry, PYSNMP_MODULE_ID=eriDNXSts1MIB, sts1T1E1YelAlrm=sts1T1E1YelAlrm, sts1Config=sts1Config, sts1VtGroup5=sts1VtGroup5, sts1MapperStatusState=sts1MapperStatusState, sts1LIUDigitalErrs=sts1LIUDigitalErrs, sts1Diag=sts1Diag, sts1LIUBertDuration=sts1LIUBertDuration, sts1T1E1NetLoop=sts1T1E1NetLoop, sts1MapperResource=sts1MapperResource, sts1ShortCable=sts1ShortCable, sts1MapperStatusAISErrs=sts1MapperStatusAISErrs, sts1LIUCodingViolationErrs=sts1LIUCodingViolationErrs, sts1VtGroup1=sts1VtGroup1, sts1MapperAddr=sts1MapperAddr, sts1LIUResource=sts1LIUResource, sts1LIUBertState=sts1LIUBertState, dnxSTS1=dnxSTS1, sts1T1E1CfgLinkName=sts1T1E1CfgLinkName, sts1LIULoopType=sts1LIULoopType, sts1T1E1ConfigTrap=sts1T1E1ConfigTrap, sts1T1E1CfgResource=sts1T1E1CfgResource, sts1LIUAnalogErrs=sts1LIUAnalogErrs, sts1MapperStatusLOPtrErrs=sts1MapperStatusLOPtrErrs, sts1LIUAddr=sts1LIUAddr, sts1VtGroup6=sts1VtGroup6, sts1T1E1Status=sts1T1E1Status, sts1VtMapping=sts1VtMapping, VtGroupType=VtGroupType, sts1VtGroup3=sts1VtGroup3, sts1T1E1IdleCode=sts1T1E1IdleCode, sts1LIUBertErrSecs=sts1LIUBertErrSecs, sts1VtGroup4=sts1VtGroup4, sts1MapperConfigTable=sts1MapperConfigTable, sts1MapperStatusAddr=sts1MapperStatusAddr, sts1T1E1Gr303Facility=sts1T1E1Gr303Facility, sts1Timing=sts1Timing, sts1MapperStatusOOFErrs=sts1MapperStatusOOFErrs, sts1MapperStatusResource=sts1MapperStatusResource, sts1VtGroup2=sts1VtGroup2, eriDNXSts1MIB=eriDNXSts1MIB, sts1T1E1Framing=sts1T1E1Framing, sts1MapperStatusLOFErrs=sts1MapperStatusLOFErrs, sts1LIUTable=sts1LIUTable, sts1T1E1LinkConfigTable=sts1T1E1LinkConfigTable, sts1MapperStatusMultiFErrs=sts1MapperStatusMultiFErrs, sts1LIUExcessZeros=sts1LIUExcessZeros, sts1VtGroup7=sts1VtGroup7, sts1MapperStatusLOSErrs=sts1MapperStatusLOSErrs, sts1T1E1CfgLinkAddr=sts1T1E1CfgLinkAddr, sts1T1E1RecoverTime=sts1T1E1RecoverTime, dnxSTS1Enterprise=dnxSTS1Enterprise, sts1MaprCmdStatus=sts1MaprCmdStatus, sts1T1E1EsfFormat=sts1T1E1EsfFormat, sts1MapperStatusRxTraceErrs=sts1MapperStatusRxTraceErrs, sts1MapperConfigEntry=sts1MapperConfigEntry, sts1T1E1LinkConfigEntry=sts1T1E1LinkConfigEntry, sts1LIUCmdStatus=sts1LIUCmdStatus, sts1MapperConfigTrap=sts1MapperConfigTrap, sts1LIUEntry=sts1LIUEntry, sts1LIUPRBSErrs=sts1LIUPRBSErrs, sts1T1E1CfgCmdStatus=sts1T1E1CfgCmdStatus, sts1MapperStatusTable=sts1MapperStatusTable, sts1T1E1Clear=sts1T1E1Clear)
| (object_identifier, integer, octet_string) = mibBuilder.importSymbols('ASN1', 'ObjectIdentifier', 'Integer', 'OctetString')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(value_size_constraint, value_range_constraint, single_value_constraint, constraints_union, constraints_intersection) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ValueSizeConstraint', 'ValueRangeConstraint', 'SingleValueConstraint', 'ConstraintsUnion', 'ConstraintsIntersection')
(decision_type, link_cmd_status, port_status, link_port_address, function_switch, devices, trap_sequence) = mibBuilder.importSymbols('ERI-DNX-SMC-MIB', 'DecisionType', 'LinkCmdStatus', 'PortStatus', 'LinkPortAddress', 'FunctionSwitch', 'devices', 'trapSequence')
(eri_mibs,) = mibBuilder.importSymbols('ERI-ROOT-SMI', 'eriMibs')
(notification_group, module_compliance) = mibBuilder.importSymbols('SNMPv2-CONF', 'NotificationGroup', 'ModuleCompliance')
(mib_scalar, mib_table, mib_table_row, mib_table_column, notification_type, integer32, gauge32, ip_address, counter64, object_identity, iso, unsigned32, mib_identifier, counter32, bits, time_ticks, module_identity) = mibBuilder.importSymbols('SNMPv2-SMI', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'NotificationType', 'Integer32', 'Gauge32', 'IpAddress', 'Counter64', 'ObjectIdentity', 'iso', 'Unsigned32', 'MibIdentifier', 'Counter32', 'Bits', 'TimeTicks', 'ModuleIdentity')
(display_string, textual_convention) = mibBuilder.importSymbols('SNMPv2-TC', 'DisplayString', 'TextualConvention')
eri_dnx_sts1_mib = module_identity((1, 3, 6, 1, 4, 1, 644, 3, 4))
if mibBuilder.loadTexts:
eriDNXSts1MIB.setLastUpdated('200204080000Z')
if mibBuilder.loadTexts:
eriDNXSts1MIB.setOrganization('Eastern Research, Inc.')
dnx_sts1 = mib_identifier((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3))
sts1_config = mib_identifier((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1))
sts1_diag = mib_identifier((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2))
class Vtgrouptype(TextualConvention, Integer32):
status = 'current'
subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(0, 1))
named_values = named_values(('vt2-0-e1', 0), ('vt1-5-ds1', 1))
sts1_mapper_config_table = mib_table((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1))
if mibBuilder.loadTexts:
sts1MapperConfigTable.setStatus('current')
sts1_mapper_config_entry = mib_table_row((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1)).setIndexNames((0, 'ERI-DNX-STS1-MIB', 'sts1MapperAddr'))
if mibBuilder.loadTexts:
sts1MapperConfigEntry.setStatus('current')
sts1_mapper_addr = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1, 1), link_port_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1MapperAddr.setStatus('current')
sts1_mapper_resource = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1, 2), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1MapperResource.setStatus('current')
sts1_vt_group1 = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1, 3), vt_group_type()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1VtGroup1.setStatus('current')
sts1_vt_group2 = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1, 4), vt_group_type()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1VtGroup2.setStatus('current')
sts1_vt_group3 = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1, 5), vt_group_type()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1VtGroup3.setStatus('current')
sts1_vt_group4 = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1, 6), vt_group_type()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1VtGroup4.setStatus('current')
sts1_vt_group5 = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1, 7), vt_group_type()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1VtGroup5.setStatus('current')
sts1_vt_group6 = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1, 8), vt_group_type()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1VtGroup6.setStatus('current')
sts1_vt_group7 = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1, 9), vt_group_type()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1VtGroup7.setStatus('current')
sts1_vt_mapping = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1, 10), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(0, 1))).clone(namedValues=named_values(('standardVT', 0), ('sequencialFrm', 1)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1VtMapping.setStatus('current')
sts1_timing = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1, 11), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(0, 1))).clone(namedValues=named_values(('internal', 0), ('ec1-Line', 1)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
sts1Timing.setStatus('current')
sts1_short_cable = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1, 12), function_switch()).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
sts1ShortCable.setStatus('current')
sts1_mapr_cmd_status = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 1, 1, 13), link_cmd_status()).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
sts1MaprCmdStatus.setStatus('current')
sts1_t1_e1_link_config_table = mib_table((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2))
if mibBuilder.loadTexts:
sts1T1E1LinkConfigTable.setStatus('current')
sts1_t1_e1_link_config_entry = mib_table_row((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1)).setIndexNames((0, 'ERI-DNX-STS1-MIB', 'sts1T1E1CfgLinkAddr'))
if mibBuilder.loadTexts:
sts1T1E1LinkConfigEntry.setStatus('current')
sts1_t1_e1_cfg_link_addr = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1, 1), link_port_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1T1E1CfgLinkAddr.setStatus('current')
sts1_t1_e1_cfg_resource = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1, 2), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1T1E1CfgResource.setStatus('current')
sts1_t1_e1_cfg_link_name = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1, 3), display_string().subtype(subtypeSpec=value_size_constraint(0, 20))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
sts1T1E1CfgLinkName.setStatus('current')
sts1_t1_e1_status = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1, 4), port_status()).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
sts1T1E1Status.setStatus('current')
sts1_t1_e1_clear = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1, 5), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(0, 1, 2))).clone(namedValues=named_values(('disabled', 0), ('framed', 1), ('unframed', 2)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
sts1T1E1Clear.setStatus('current')
sts1_t1_e1_framing = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1, 6), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(5, 6, 7))).clone(namedValues=named_values(('t1Esf', 5), ('t1D4', 6), ('t1Unframed', 7)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
sts1T1E1Framing.setStatus('current')
sts1_t1_e1_net_loop = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1, 7), function_switch()).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
sts1T1E1NetLoop.setStatus('current')
sts1_t1_e1_yel_alrm = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1, 8), decision_type()).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
sts1T1E1YelAlrm.setStatus('current')
sts1_t1_e1_recover_time = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1, 9), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(3, 10, 15))).clone(namedValues=named_values(('timeout-3-secs', 3), ('timeout-10-secs', 10), ('timeout-15-secs', 15)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
sts1T1E1RecoverTime.setStatus('current')
sts1_t1_e1_esf_format = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1, 10), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(0, 1))).clone(namedValues=named_values(('att-54016', 0), ('ansi-t1-403', 1)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
sts1T1E1EsfFormat.setStatus('current')
sts1_t1_e1_idle_code = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1, 11), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(0, 1))).clone(namedValues=named_values(('busy', 0), ('idle', 1)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
sts1T1E1IdleCode.setStatus('current')
sts1_t1_e1_cfg_cmd_status = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1, 12), link_cmd_status()).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
sts1T1E1CfgCmdStatus.setStatus('current')
sts1_t1_e1_gr303_facility = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 1, 2, 1, 13), decision_type()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1T1E1Gr303Facility.setStatus('obsolete')
sts1_mapper_status_table = mib_table((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1))
if mibBuilder.loadTexts:
sts1MapperStatusTable.setStatus('current')
sts1_mapper_status_entry = mib_table_row((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1, 1)).setIndexNames((0, 'ERI-DNX-STS1-MIB', 'sts1MapperStatusAddr'))
if mibBuilder.loadTexts:
sts1MapperStatusEntry.setStatus('current')
sts1_mapper_status_addr = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1, 1, 1), link_port_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1MapperStatusAddr.setStatus('current')
sts1_mapper_status_resource = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1, 1, 2), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1MapperStatusResource.setStatus('current')
sts1_mapper_status_state = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(0, 32, 256, 512, 1024, 8192, 131072, 2147483647))).clone(namedValues=named_values(('ok', 0), ('lof', 32), ('lop', 256), ('oof', 512), ('ais', 1024), ('los', 8192), ('lomf', 131072), ('errors', 2147483647)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1MapperStatusState.setStatus('current')
sts1_mapper_status_los_errs = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1, 1, 4), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1MapperStatusLOSErrs.setStatus('current')
sts1_mapper_status_oof_errs = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1, 1, 5), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1MapperStatusOOFErrs.setStatus('current')
sts1_mapper_status_lof_errs = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1, 1, 6), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1MapperStatusLOFErrs.setStatus('current')
sts1_mapper_status_lo_ptr_errs = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1, 1, 7), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1MapperStatusLOPtrErrs.setStatus('current')
sts1_mapper_status_ais_errs = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1, 1, 8), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1MapperStatusAISErrs.setStatus('current')
sts1_mapper_status_multi_f_errs = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1, 1, 9), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1MapperStatusMultiFErrs.setStatus('current')
sts1_mapper_status_rx_trace_errs = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1, 1, 10), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1MapperStatusRxTraceErrs.setStatus('current')
sts1_mapper_status_tot_err_secs = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1, 1, 11), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1MapperStatusTotErrSecs.setStatus('current')
sts1_mapper_status_cmd_status = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 1, 1, 12), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(0, 1, 14, 101, 114, 200, 206, 500, 501, 502))).clone(namedValues=named_values(('ready-for-command', 0), ('update', 1), ('clearErrors', 14), ('update-successful', 101), ('clear-successful', 114), ('err-general-test-error', 200), ('err-field-cannot-be-set', 206), ('err-snmp-parse-failed', 500), ('err-invalid-snmp-type', 501), ('err-invalid-snmp-var-size', 502)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
sts1MapperStatusCmdStatus.setStatus('current')
sts1_liu_table = mib_table((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2))
if mibBuilder.loadTexts:
sts1LIUTable.setStatus('current')
sts1_liu_entry = mib_table_row((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2, 1)).setIndexNames((0, 'ERI-DNX-STS1-MIB', 'sts1LIUAddr'))
if mibBuilder.loadTexts:
sts1LIUEntry.setStatus('current')
sts1_liu_addr = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2, 1, 1), link_port_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1LIUAddr.setStatus('current')
sts1_liu_resource = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2, 1, 2), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1LIUResource.setStatus('current')
sts1_liu_bert_state = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(45, 44))).clone(namedValues=named_values(('off', 45), ('liu-bert', 44)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
sts1LIUBertState.setStatus('current')
sts1_liu_bert_err_secs = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2, 1, 4), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1LIUBertErrSecs.setStatus('current')
sts1_liu_bert_duration = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2, 1, 5), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1LIUBertDuration.setStatus('current')
sts1_liu_loop_type = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2, 1, 6), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(0, 1, 39))).clone(namedValues=named_values(('off', 0), ('mapper', 1), ('liu', 39)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
sts1LIULoopType.setStatus('current')
sts1_liu_digital_errs = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2, 1, 7), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1LIUDigitalErrs.setStatus('current')
sts1_liu_analog_errs = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2, 1, 8), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1LIUAnalogErrs.setStatus('current')
sts1_liu_excess_zeros = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2, 1, 9), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1LIUExcessZeros.setStatus('current')
sts1_liu_coding_violation_errs = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2, 1, 10), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1LIUCodingViolationErrs.setStatus('current')
sts1_liuprbs_errs = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2, 1, 11), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
sts1LIUPRBSErrs.setStatus('current')
sts1_liu_cmd_status = mib_table_column((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 2, 2, 1, 12), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(0, 1, 14, 101, 114, 200, 202, 203, 205, 206, 500, 501, 502))).clone(namedValues=named_values(('ready-for-command', 0), ('update', 1), ('clearErrors', 14), ('update-successful', 101), ('clear-successful', 114), ('err-general-test-error', 200), ('err-invalid-loop-type', 202), ('err-invalid-bert-type', 203), ('err-test-in-progress', 205), ('err-field-cannot-be-set', 206), ('err-snmp-parse-failed', 500), ('err-invalid-snmp-type', 501), ('err-invalid-snmp-var-size', 502)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
sts1LIUCmdStatus.setStatus('current')
dnx_sts1_enterprise = object_identity((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 0))
if mibBuilder.loadTexts:
dnxSTS1Enterprise.setStatus('current')
sts1_mapper_config_trap = notification_type((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 0, 1)).setObjects(('ERI-DNX-SMC-MIB', 'trapSequence'), ('ERI-DNX-STS1-MIB', 'sts1MapperAddr'), ('ERI-DNX-STS1-MIB', 'sts1MaprCmdStatus'))
if mibBuilder.loadTexts:
sts1MapperConfigTrap.setStatus('current')
sts1_t1_e1_config_trap = notification_type((1, 3, 6, 1, 4, 1, 644, 2, 4, 2, 3, 0, 2)).setObjects(('ERI-DNX-SMC-MIB', 'trapSequence'), ('ERI-DNX-STS1-MIB', 'sts1T1E1CfgLinkAddr'), ('ERI-DNX-STS1-MIB', 'sts1T1E1CfgCmdStatus'))
if mibBuilder.loadTexts:
sts1T1E1ConfigTrap.setStatus('current')
mibBuilder.exportSymbols('ERI-DNX-STS1-MIB', sts1MapperStatusCmdStatus=sts1MapperStatusCmdStatus, sts1MapperStatusTotErrSecs=sts1MapperStatusTotErrSecs, sts1MapperStatusEntry=sts1MapperStatusEntry, PYSNMP_MODULE_ID=eriDNXSts1MIB, sts1T1E1YelAlrm=sts1T1E1YelAlrm, sts1Config=sts1Config, sts1VtGroup5=sts1VtGroup5, sts1MapperStatusState=sts1MapperStatusState, sts1LIUDigitalErrs=sts1LIUDigitalErrs, sts1Diag=sts1Diag, sts1LIUBertDuration=sts1LIUBertDuration, sts1T1E1NetLoop=sts1T1E1NetLoop, sts1MapperResource=sts1MapperResource, sts1ShortCable=sts1ShortCable, sts1MapperStatusAISErrs=sts1MapperStatusAISErrs, sts1LIUCodingViolationErrs=sts1LIUCodingViolationErrs, sts1VtGroup1=sts1VtGroup1, sts1MapperAddr=sts1MapperAddr, sts1LIUResource=sts1LIUResource, sts1LIUBertState=sts1LIUBertState, dnxSTS1=dnxSTS1, sts1T1E1CfgLinkName=sts1T1E1CfgLinkName, sts1LIULoopType=sts1LIULoopType, sts1T1E1ConfigTrap=sts1T1E1ConfigTrap, sts1T1E1CfgResource=sts1T1E1CfgResource, sts1LIUAnalogErrs=sts1LIUAnalogErrs, sts1MapperStatusLOPtrErrs=sts1MapperStatusLOPtrErrs, sts1LIUAddr=sts1LIUAddr, sts1VtGroup6=sts1VtGroup6, sts1T1E1Status=sts1T1E1Status, sts1VtMapping=sts1VtMapping, VtGroupType=VtGroupType, sts1VtGroup3=sts1VtGroup3, sts1T1E1IdleCode=sts1T1E1IdleCode, sts1LIUBertErrSecs=sts1LIUBertErrSecs, sts1VtGroup4=sts1VtGroup4, sts1MapperConfigTable=sts1MapperConfigTable, sts1MapperStatusAddr=sts1MapperStatusAddr, sts1T1E1Gr303Facility=sts1T1E1Gr303Facility, sts1Timing=sts1Timing, sts1MapperStatusOOFErrs=sts1MapperStatusOOFErrs, sts1MapperStatusResource=sts1MapperStatusResource, sts1VtGroup2=sts1VtGroup2, eriDNXSts1MIB=eriDNXSts1MIB, sts1T1E1Framing=sts1T1E1Framing, sts1MapperStatusLOFErrs=sts1MapperStatusLOFErrs, sts1LIUTable=sts1LIUTable, sts1T1E1LinkConfigTable=sts1T1E1LinkConfigTable, sts1MapperStatusMultiFErrs=sts1MapperStatusMultiFErrs, sts1LIUExcessZeros=sts1LIUExcessZeros, sts1VtGroup7=sts1VtGroup7, sts1MapperStatusLOSErrs=sts1MapperStatusLOSErrs, sts1T1E1CfgLinkAddr=sts1T1E1CfgLinkAddr, sts1T1E1RecoverTime=sts1T1E1RecoverTime, dnxSTS1Enterprise=dnxSTS1Enterprise, sts1MaprCmdStatus=sts1MaprCmdStatus, sts1T1E1EsfFormat=sts1T1E1EsfFormat, sts1MapperStatusRxTraceErrs=sts1MapperStatusRxTraceErrs, sts1MapperConfigEntry=sts1MapperConfigEntry, sts1T1E1LinkConfigEntry=sts1T1E1LinkConfigEntry, sts1LIUCmdStatus=sts1LIUCmdStatus, sts1MapperConfigTrap=sts1MapperConfigTrap, sts1LIUEntry=sts1LIUEntry, sts1LIUPRBSErrs=sts1LIUPRBSErrs, sts1T1E1CfgCmdStatus=sts1T1E1CfgCmdStatus, sts1MapperStatusTable=sts1MapperStatusTable, sts1T1E1Clear=sts1T1E1Clear) |
expected_output = {
"location": {
"R0 R1": {
"auto_abort_timer": "inactive",
"pkg_state": {
1: {
"filename_version": "17.08.01.0.149429",
"state": "U",
"type": "IMG",
}
},
}
}
} | expected_output = {'location': {'R0 R1': {'auto_abort_timer': 'inactive', 'pkg_state': {1: {'filename_version': '17.08.01.0.149429', 'state': 'U', 'type': 'IMG'}}}}} |
def selection_sort(my_list):
for i in range(len(my_list)):
min_index=i
for j in range(i+1 , len(my_list)):
if my_list[min_index]>my_list[j]:
min_index= j
my_list[i],my_list[min_index]= my_list[min_index] ,my_list[i]
print(my_list)
cus_list=[8,4,23,42,16,15]
selection_sort(cus_list)
| def selection_sort(my_list):
for i in range(len(my_list)):
min_index = i
for j in range(i + 1, len(my_list)):
if my_list[min_index] > my_list[j]:
min_index = j
(my_list[i], my_list[min_index]) = (my_list[min_index], my_list[i])
print(my_list)
cus_list = [8, 4, 23, 42, 16, 15]
selection_sort(cus_list) |
class Person:
number_of_people = 0
def __init__(self, name):
print("__init__ initiated")
self.name = name
print("calling add_person()")
Person.add_person()
@classmethod
def num_of_people(cls):
print("initiating num_of_person()")
return cls.number_of_people
@classmethod
def add_person(cls):
print("add_person(cls)")
cls.number_of_people += 1
# create an object of person
p1 = Person("KvT")
# creating another instance
p2 = Person("Shin")
# accessing the class method directly
print(Person.num_of_people())
| class Person:
number_of_people = 0
def __init__(self, name):
print('__init__ initiated')
self.name = name
print('calling add_person()')
Person.add_person()
@classmethod
def num_of_people(cls):
print('initiating num_of_person()')
return cls.number_of_people
@classmethod
def add_person(cls):
print('add_person(cls)')
cls.number_of_people += 1
p1 = person('KvT')
p2 = person('Shin')
print(Person.num_of_people()) |
SEPARATOR: list = [':', ',', '*', ';', '#', '|', '+', '%', '>', '?', '&', '=', '!']
def word_splitter(string: str) -> list:
for i in string:
if i in SEPARATOR:
string = string.replace(i, ' ')
return string.split()
| separator: list = [':', ',', '*', ';', '#', '|', '+', '%', '>', '?', '&', '=', '!']
def word_splitter(string: str) -> list:
for i in string:
if i in SEPARATOR:
string = string.replace(i, ' ')
return string.split() |
# POKEMING - GON'NA CATCH 'EM ALL
# -- A simple hack 'n slash game in console
# -- This class is handles all utility related things
class Utility:
# This allows to see important message of the game
def pause(message):
print(message)
input('Press any key to continue.') | class Utility:
def pause(message):
print(message)
input('Press any key to continue.') |
str1 = "Python"
str2 = "Python"
print("\nMemory location of str1 =", hex(id(str1)))
print("Memory location of str2 =", hex(id(str2)))
print() | str1 = 'Python'
str2 = 'Python'
print('\nMemory location of str1 =', hex(id(str1)))
print('Memory location of str2 =', hex(id(str2)))
print() |
config = dict()
config['fixed_cpu_frequency'] = "@ 3700 MHz"
config['frequency'] = 3.7e9
config['maxflops_sisd'] = 2
config['maxflops_sisd_fma'] = 4
config['maxflops_simd'] = 16
config['maxflops_simd_fma'] = 32
config['roofline_beta'] = 64 # According to WikiChip (Skylake)
config['figure_size'] = (20,9)
config['save_folder'] = '../all_plots/' | config = dict()
config['fixed_cpu_frequency'] = '@ 3700 MHz'
config['frequency'] = 3700000000.0
config['maxflops_sisd'] = 2
config['maxflops_sisd_fma'] = 4
config['maxflops_simd'] = 16
config['maxflops_simd_fma'] = 32
config['roofline_beta'] = 64
config['figure_size'] = (20, 9)
config['save_folder'] = '../all_plots/' |
class Location:
def __init__(self, location_id, borough, zone, lat, lng):
self.location_id = location_id
self.borough = borough
self.zone = zone
self.lat = lat
self.lng = lng
@property
def json(self):
return {
"location_id": self.location_id,
"borough": self.borough,
"zone": self.zone,
"lat": self.lat,
"lng": self.lng
}
Locations = [
Location(1, "EWR", "Newark Airport", 40.6895314, -74.1744624),
Location(2, "Queens", "Jamaica Bay", 40.6056632, -73.8713099),
Location(3, "Bronx", "Allerton/Pelham Gardens", 40.8627726, -73.84343919999999),
Location(4, "Manhattan", "Alphabet City", 40.7258428, -73.9774916),
Location(5, "Staten Island", "Arden Heights", 40.556413, -74.1735044),
Location(6, "Staten Island", "Arrochar/Fort Wadsworth", 40.6012117, -74.0579185),
Location(7, "Queens", "Astoria", 40.7643574, -73.92346189999999),
Location(8, "Queens", "Astoria Park", 40.7785364, -73.92283359999999),
Location(9, "Queens", "Auburndale", 40.7577672, -73.78339609999999),
Location(10, "Queens", "Baisley Park", 40.6737751, -73.786025),
Location(11, "Brooklyn", "Bath Beach", 40.6038852, -74.0062078),
Location(12, "Manhattan", "Battery Park", 40.703141, -74.0159996),
Location(13, "Manhattan", "Battery Park City", 40.7115786, -74.0158441),
Location(14, "Brooklyn", "Bay Ridge", 40.6263732, -74.0298767),
Location(15, "Queens", "Bay Terrace/Fort Totten", 40.7920899, -73.7760996),
Location(16, "Queens", "Bayside", 40.7585569, -73.7654367),
Location(17, "Brooklyn", "Bedford", 40.6872176, -73.9417735),
Location(18, "Bronx", "Bedford Park", 40.8700999, -73.8856912),
Location(19, "Queens", "Bellerose", 40.7361769, -73.7137365),
Location(20, "Bronx", "Belmont", 40.8534507, -73.88936819999999),
Location(21, "Brooklyn", "Bensonhurst East", 40.6139307, -73.9921833),
Location(22, "Brooklyn", "Bensonhurst West", 40.6139307, -73.9921833),
Location(23, "Staten Island", "Bloomfield/Emerson Hill", 40.6074525, -74.0963115),
Location(24, "Manhattan", "Bloomingdale", 40.7988958, -73.9697795),
Location(25, "Brooklyn", "Boerum Hill", 40.6848689, -73.9844722),
Location(26, "Brooklyn", "Borough Park", 40.6350319, -73.9921028),
Location(27, "Queens", "Breezy Point/Fort Tilden/Riis Beach", 40.5597687, -73.88761509999999),
Location(28, "Queens", "Briarwood/Jamaica Hills", 40.7109315, -73.81356099999999),
Location(29, "Brooklyn", "Brighton Beach", 40.5780706, -73.9596565),
Location(30, "Queens", "Broad Channel", 40.6158335, -73.8213213),
Location(31, "Bronx", "Bronx Park", 40.8608544, -73.8706278),
Location(32, "Bronx", "Bronxdale", 40.8474697, -73.8599132),
Location(33, "Brooklyn", "Brooklyn Heights", 40.6959294, -73.9955523),
Location(34, "Brooklyn", "Brooklyn Navy Yard", 40.7025634, -73.9697795),
Location(35, "Brooklyn", "Brownsville", 40.665214, -73.9125304),
Location(36, "Brooklyn", "Bushwick North", 40.6957755, -73.9170604),
Location(37, "Brooklyn", "Bushwick South", 40.7043655, -73.9383476),
Location(38, "Queens", "Cambria Heights", 40.692158, -73.7330753),
Location(39, "Brooklyn", "Canarsie", 40.6402325, -73.9060579),
Location(40, "Brooklyn", "Carroll Gardens", 40.6795331, -73.9991637),
Location(41, "Manhattan", "Central Harlem", 40.8089419, -73.9482305),
Location(42, "Manhattan", "Central Harlem North", 40.8142585, -73.9426617),
Location(43, "Manhattan", "Central Park", 40.7812199, -73.9665138),
Location(44, "Staten Island", "Charleston/Tottenville", 40.5083408, -74.23554039999999),
Location(45, "Manhattan", "Chinatown", 40.7157509, -73.9970307),
Location(46, "Bronx", "City Island", 40.8468202, -73.7874983),
Location(47, "Bronx", "Claremont/Bathgate", 40.84128339999999, -73.9001573),
Location(48, "Manhattan", "Clinton East", 40.7637581, -73.9918181),
Location(49, "Brooklyn", "Clinton Hill", 40.6896834, -73.9661144),
Location(50, "Manhattan", "Clinton West", 40.7628785, -73.9940134),
Location(51, "Bronx", "Co-Op City", 40.8738889, -73.82944440000001),
Location(52, "Brooklyn", "Cobble Hill", 40.686536, -73.9962255),
Location(53, "Queens", "College Point", 40.786395, -73.8389657),
Location(54, "Brooklyn", "Columbia Street", 40.6775239, -74.00634409999999),
Location(55, "Brooklyn", "Coney Island", 40.5755438, -73.9707016),
Location(56, "Queens", "Corona", 40.7449859, -73.8642613),
Location(57, "Queens", "Corona", 40.7449859, -73.8642613),
Location(58, "Bronx", "Country Club", 40.8391667, -73.8197222),
Location(59, "Bronx", "Crotona Park", 40.8400367, -73.8953489),
Location(60, "Bronx", "Crotona Park East", 40.8365344, -73.8933509),
Location(61, "Brooklyn", "Crown Heights North", 40.6694022, -73.9422324),
Location(62, "Brooklyn", "Crown Heights South", 40.6694022, -73.9422324),
Location(63, "Brooklyn", "Cypress Hills", 40.6836873, -73.87963309999999),
Location(64, "Queens", "Douglaston", 40.76401509999999, -73.7433727),
Location(65, "Brooklyn", "Downtown Brooklyn/MetroTech", 40.6930987, -73.98566339999999),
Location(66, "Brooklyn", "DUMBO/Vinegar Hill", 40.70371859999999, -73.98226830000002),
Location(67, "Brooklyn", "Dyker Heights", 40.6214932, -74.00958399999999),
Location(68, "Manhattan", "East Chelsea", 40.7465004, -74.00137370000002),
Location(69, "Bronx", "East Concourse/Concourse Village", 40.8255863, -73.9184388),
Location(70, "Queens", "East Elmhurst", 40.7737505, -73.8713099),
Location(71, "Brooklyn", "East Flatbush/Farragut", 40.63751329999999, -73.9280797),
Location(72, "Brooklyn", "East Flatbush/Remsen Village", 40.6511399, -73.9181602),
Location(73, "Queens", "East Flushing", 40.7540534, -73.8086418),
Location(74, "Manhattan", "East Harlem North", 40.7957399, -73.93892129999999),
Location(75, "Manhattan", "East Harlem South", 40.7957399, -73.93892129999999),
Location(76, "Brooklyn", "East New York", 40.6590529, -73.8759245),
Location(77, "Brooklyn", "East New York/Pennsylvania Avenue", 40.65845729999999, -73.8904498),
Location(78, "Bronx", "East Tremont", 40.8453781, -73.8909693),
Location(79, "Manhattan", "East Village", 40.7264773, -73.98153370000001),
Location(80, "Brooklyn", "East Williamsburg", 40.7141953, -73.9316461),
Location(81, "Bronx", "Eastchester", 40.8859837, -73.82794710000002),
Location(82, "Queens", "Elmhurst", 40.737975, -73.8801301),
Location(83, "Queens", "Elmhurst/Maspeth", 40.7294018, -73.9065883),
Location(84, "Staten Island", "Eltingville/Annadale/Prince's Bay", 40.52899439999999, -74.197644),
Location(85, "Brooklyn", "Erasmus", 40.649649, -73.95287379999999),
Location(86, "Queens", "Far Rockaway", 40.5998931, -73.74484369999999),
Location(87, "Manhattan", "Financial District North", 40.7077143, -74.00827869999999),
Location(88, "Manhattan", "Financial District South", 40.705123, -74.0049259),
Location(89, "Brooklyn", "Flatbush/Ditmas Park", 40.6414876, -73.9593998),
Location(90, "Manhattan", "Flatiron", 40.740083, -73.9903489),
Location(91, "Brooklyn", "Flatlands", 40.6232714, -73.9321664),
Location(92, "Queens", "Flushing", 40.7674987, -73.833079),
Location(93, "Queens", "Flushing Meadows-Corona Park", 40.7400275, -73.8406953),
Location(94, "Bronx", "Fordham South", 40.8592667, -73.8984694),
Location(95, "Queens", "Forest Hills", 40.718106, -73.8448469),
Location(96, "Queens", "Forest Park/Highland Park", 40.6960418, -73.8663024),
Location(97, "Brooklyn", "Fort Greene", 40.6920638, -73.97418739999999),
Location(98, "Queens", "Fresh Meadows", 40.7335179, -73.7801447),
Location(99, "Staten Island", "Freshkills Park", 40.5772365, -74.1858183),
Location(100, "Manhattan", "Garment District", 40.7547072, -73.9916342),
Location(101, "Queens", "Glen Oaks", 40.7471504, -73.7118223),
Location(102, "Queens", "Glendale", 40.7016662, -73.8842219),
Location(103, "Manhattan", "Governor's Island/Ellis Island/Liberty Island", 40.6892494, -74.04450039999999),
Location(104, "Manhattan", "Governor's Island/Ellis Island/Liberty Island", 40.6892494, -74.04450039999999),
Location(105, "Manhattan", "Governor's Island/Ellis Island/Liberty Island", 40.6892494, -74.04450039999999),
Location(106, "Brooklyn", "Gowanus", 40.6751161, -73.9879753),
Location(107, "Manhattan", "Gramercy", 40.7367783, -73.9844722),
Location(108, "Brooklyn", "Gravesend", 40.5918636, -73.9768653),
Location(109, "Staten Island", "Great Kills", 40.5543273, -74.156292),
Location(110, "Staten Island", "Great Kills Park", 40.5492367, -74.1238486),
Location(111, "Brooklyn", "Green-Wood Cemetery", 40.6579777, -73.9940634),
Location(112, "Brooklyn", "Greenpoint", 40.7304701, -73.95150319999999),
Location(113, "Manhattan", "Greenwich Village North", 40.7335719, -74.0027418),
Location(114, "Manhattan", "Greenwich Village South", 40.7335719, -74.0027418),
Location(115, "Staten Island", "Grymes Hill/Clifton", 40.6189726, -74.0784785),
Location(116, "Manhattan", "Hamilton Heights", 40.8252793, -73.94761390000001),
Location(117, "Queens", "Hammels/Arverne", 40.5880813, -73.81199289999999),
Location(118, "Staten Island", "Heartland Village/Todt Hill", 40.5975007, -74.10189749999999),
Location(119, "Bronx", "Highbridge", 40.836916, -73.9271294),
Location(120, "Manhattan", "Highbridge Park", 40.8537599, -73.9257492),
Location(121, "Queens", "Hillcrest/Pomonok", 40.732341, -73.81077239999999),
Location(122, "Queens", "Hollis", 40.7112203, -73.762495),
Location(123, "Brooklyn", "Homecrest", 40.6004787, -73.9565551),
Location(124, "Queens", "Howard Beach", 40.6571222, -73.8429989),
Location(125, "Manhattan", "Hudson Sq", 40.7265834, -74.0074731),
Location(126, "Bronx", "Hunts Point", 40.8094385, -73.8803315),
Location(127, "Manhattan", "Inwood", 40.8677145, -73.9212019),
Location(128, "Manhattan", "Inwood Hill Park", 40.8722007, -73.9255549),
Location(129, "Queens", "Jackson Heights", 40.7556818, -73.8830701),
Location(130, "Queens", "Jamaica", 40.702677, -73.7889689),
Location(131, "Queens", "Jamaica Estates", 40.7179512, -73.783822),
Location(132, "Queens", "JFK Airport", 40.6413111, -73.77813909999999),
Location(133, "Brooklyn", "Kensington", 40.63852019999999, -73.97318729999999),
Location(134, "Queens", "Kew Gardens", 40.705695, -73.8272029),
Location(135, "Queens", "Kew Gardens Hills", 40.724707, -73.8207618),
Location(136, "Bronx", "Kingsbridge Heights", 40.8711235, -73.8976328),
Location(137, "Manhattan", "Kips Bay", 40.74232920000001, -73.9800645),
Location(138, "Queens", "LaGuardia Airport", 40.7769271, -73.8739659),
Location(139, "Queens", "Laurelton", 40.67764, -73.7447853),
Location(140, "Manhattan", "Lenox Hill East", 40.7662315, -73.9602312),
Location(141, "Manhattan", "Lenox Hill West", 40.7662315, -73.9602312),
Location(142, "Manhattan", "Lincoln Square East", 40.7741769, -73.98491179999999),
Location(143, "Manhattan", "Lincoln Square West", 40.7741769, -73.98491179999999),
Location(144, "Manhattan", "Little Italy/NoLiTa", 40.7230413, -73.99486069999999),
Location(145, "Queens", "Long Island City/Hunters Point", 40.7485587, -73.94964639999999),
Location(146, "Queens", "Long Island City/Queens Plaza", 40.7509846, -73.9402762),
Location(147, "Bronx", "Longwood", 40.8248438, -73.8915875),
Location(148, "Manhattan", "Lower East Side", 40.715033, -73.9842724),
Location(149, "Brooklyn", "Madison", 40.60688529999999, -73.947958),
Location(150, "Brooklyn", "Manhattan Beach", 40.57815799999999, -73.93892129999999),
Location(151, "Manhattan", "Manhattan Valley", 40.7966989, -73.9684247),
Location(152, "Manhattan", "Manhattanville", 40.8169443, -73.9558333),
Location(153, "Manhattan", "Marble Hill", 40.8761173, -73.9102628),
Location(154, "Brooklyn", "Marine Park/Floyd Bennett Field", 40.58816030000001, -73.8969745),
Location(155, "Brooklyn", "Marine Park/Mill Basin", 40.6055157, -73.9348698),
Location(156, "Staten Island", "Mariners Harbor", 40.63677010000001, -74.1587547),
Location(157, "Queens", "Maspeth", 40.7294018, -73.9065883),
Location(158, "Manhattan", "Meatpacking/West Village West", 40.7342331, -74.0100622),
Location(159, "Bronx", "Melrose South", 40.824545, -73.9104143),
Location(160, "Queens", "Middle Village", 40.717372, -73.87425),
Location(161, "Manhattan", "Midtown Center", 40.7314658, -73.9970956),
Location(162, "Manhattan", "Midtown East", 40.7571432, -73.9718815),
Location(163, "Manhattan", "Midtown North", 40.7649516, -73.9851039),
Location(164, "Manhattan", "Midtown South", 40.7521795, -73.9875438),
Location(165, "Brooklyn", "Midwood", 40.6204388, -73.95997779999999),
Location(166, "Manhattan", "Morningside Heights", 40.8105443, -73.9620581),
Location(167, "Bronx", "Morrisania/Melrose", 40.824545, -73.9104143),
Location(168, "Bronx", "Mott Haven/Port Morris", 40.8022025, -73.9166051),
Location(169, "Bronx", "Mount Hope", 40.8488863, -73.9051185),
Location(170, "Manhattan", "Murray Hill", 40.7478792, -73.9756567),
Location(171, "Queens", "Murray Hill-Queens", 40.7634996, -73.8073261),
Location(172, "Staten Island", "New Dorp/Midland Beach", 40.5739937, -74.1159755),
Location(173, "Queens", "North Corona", 40.7543725, -73.8669188),
Location(174, "Bronx", "Norwood", 40.8810341, -73.878486),
Location(175, "Queens", "Oakland Gardens", 40.7408584, -73.758241),
Location(176, "Staten Island", "Oakwood", 40.563994, -74.1159754),
Location(177, "Brooklyn", "Ocean Hill", 40.6782737, -73.9108212),
Location(178, "Brooklyn", "Ocean Parkway South", 40.61287799999999, -73.96838620000001),
Location(179, "Queens", "Old Astoria", 40.7643574, -73.92346189999999),
Location(180, "Queens", "Ozone Park", 40.6794072, -73.8507279),
Location(181, "Brooklyn", "Park Slope", 40.6710672, -73.98142279999999),
Location(182, "Bronx", "Parkchester", 40.8382522, -73.8566087),
Location(183, "Bronx", "Pelham Bay", 40.8505556, -73.83333329999999),
Location(184, "Bronx", "Pelham Bay Park", 40.8670144, -73.81006339999999),
Location(185, "Bronx", "Pelham Parkway", 40.8553279, -73.8639594),
Location(186, "Manhattan", "Penn Station/Madison Sq West", 40.7505045, -73.9934387),
Location(187, "Staten Island", "Port Richmond", 40.63549140000001, -74.1254641),
Location(188, "Brooklyn", "Prospect-Lefferts Gardens", 40.6592355, -73.9533895),
Location(189, "Brooklyn", "Prospect Heights", 40.6774196, -73.9668408),
Location(190, "Brooklyn", "Prospect Park", 40.6602037, -73.9689558),
Location(191, "Queens", "Queens Village", 40.7156628, -73.7419017),
Location(192, "Queens", "Queensboro Hill", 40.7429383, -73.8251741),
Location(193, "Queens", "Queensbridge/Ravenswood", 40.7556711, -73.9456723),
Location(194, "Manhattan", "Randalls Island", 40.7932271, -73.92128579999999),
Location(195, "Brooklyn", "Red Hook", 40.6733676, -74.00831889999999),
Location(196, "Queens", "Rego Park", 40.72557219999999, -73.8624893),
Location(197, "Queens", "Richmond Hill", 40.6958108, -73.8272029),
Location(198, "Queens", "Ridgewood", 40.7043986, -73.9018292),
Location(199, "Bronx", "Rikers Island", 40.79312770000001, -73.88601),
Location(200, "Bronx", "Riverdale/North Riverdale/Fieldston", 40.89961830000001, -73.9088276),
Location(201, "Queens", "Rockaway Park", 40.57978629999999, -73.8372237),
Location(202, "Manhattan", "Roosevelt Island", 40.76050310000001, -73.9509934),
Location(203, "Queens", "Rosedale", 40.6584068, -73.7389596),
Location(204, "Staten Island", "Rossville/Woodrow", 40.5434385, -74.19764409999999),
Location(205, "Queens", "Saint Albans", 40.6895283, -73.76436880000001),
Location(206, "Staten Island", "Saint George/New Brighton", 40.6404369, -74.090226),
Location(207, "Queens", "Saint Michaels Cemetery/Woodside", 40.7646761, -73.89850419999999),
Location(208, "Bronx", "Schuylerville/Edgewater Park", 40.8235967, -73.81029269999999),
Location(209, "Manhattan", "Seaport", 40.70722629999999, -74.0027431),
Location(210, "Brooklyn", "Sheepshead Bay", 40.5953955, -73.94575379999999),
Location(211, "Manhattan", "SoHo", 40.723301, -74.0029883),
Location(212, "Bronx", "Soundview/Bruckner", 40.8247566, -73.8710929),
Location(213, "Bronx", "Soundview/Castle Hill", 40.8176831, -73.8507279),
Location(214, "Staten Island", "South Beach/Dongan Hills", 40.5903824, -74.06680759999999),
Location(215, "Queens", "South Jamaica", 40.6808594, -73.7919103),
Location(216, "Queens", "South Ozone Park", 40.6764003, -73.8124984),
Location(217, "Brooklyn", "South Williamsburg", 40.7043921, -73.9565551),
Location(218, "Queens", "Springfield Gardens North", 40.6715916, -73.779798),
Location(219, "Queens", "Springfield Gardens South", 40.6715916, -73.779798),
Location(220, "Bronx", "Spuyten Duyvil/Kingsbridge", 40.8833912, -73.9051185),
Location(221, "Staten Island", "Stapleton", 40.6264929, -74.07764139999999),
Location(222, "Brooklyn", "Starrett City", 40.6484272, -73.88236119999999),
Location(223, "Queens", "Steinway", 40.7745459, -73.9037477),
Location(224, "Manhattan", "Stuy Town/Peter Cooper Village", 40.7316903, -73.9778494),
Location(225, "Brooklyn", "Stuyvesant Heights", 40.6824166, -73.9319933),
Location(226, "Queens", "Sunnyside", 40.7432759, -73.9196324),
Location(227, "Brooklyn", "Sunset Park East", 40.65272, -74.00933479999999),
Location(228, "Brooklyn", "Sunset Park West", 40.65272, -74.00933479999999),
Location(229, "Manhattan", "Sutton Place/Turtle Bay North", 40.7576281, -73.961698),
Location(230, "Manhattan", "Times Sq/Theatre District", 40.759011, -73.9844722),
Location(231, "Manhattan", "TriBeCa/Civic Center", 40.71625299999999, -74.0122396),
Location(232, "Manhattan", "Two Bridges/Seward Park", 40.7149056, -73.98924699999999),
Location(233, "Manhattan", "UN/Turtle Bay South", 40.7571432, -73.9718815),
Location(234, "Manhattan", "Union Sq", 40.7358633, -73.9910835),
Location(235, "Bronx", "University Heights/Morris Heights", 40.8540855, -73.9198498),
Location(236, "Manhattan", "Upper East Side North", 40.7600931, -73.9598414),
Location(237, "Manhattan", "Upper East Side South", 40.7735649, -73.9565551),
Location(238, "Manhattan", "Upper West Side North", 40.7870106, -73.9753676),
Location(239, "Manhattan", "Upper West Side South", 40.7870106, -73.9753676),
Location(240, "Bronx", "Van Cortlandt Park", 40.8972233, -73.8860668),
Location(241, "Bronx", "Van Cortlandt Village", 40.8837203, -73.89313899999999),
Location(242, "Bronx", "Van Nest/Morris Park", 40.8459682, -73.8625946),
Location(243, "Manhattan", "Washington Heights North", 40.852476, -73.9342996),
Location(244, "Manhattan", "Washington Heights South", 40.8417082, -73.9393554),
Location(245, "Staten Island", "West Brighton", 40.6270298, -74.10931409999999),
Location(246, "Manhattan", "West Chelsea/Hudson Yards", 40.7542535, -74.0023331),
Location(247, "Bronx", "West Concourse", 40.8316761, -73.9227554),
Location(248, "Bronx", "West Farms/Bronx River", 40.8430609, -73.8816001),
Location(249, "Manhattan", "West Village", 40.73468, -74.0047554),
Location(250, "Bronx", "Westchester Village/Unionport", 40.8340447, -73.8531349),
Location(251, "Staten Island", "Westerleigh", 40.616296, -74.1386767),
Location(252, "Queens", "Whitestone", 40.7920449, -73.8095574),
Location(253, "Queens", "Willets Point", 40.7606911, -73.840436),
Location(254, "Bronx", "Williamsbridge/Olinville", 40.8787602, -73.85283559999999),
Location(255, "Brooklyn", "Williamsburg (North Side)", 40.71492, -73.9528472),
Location(256, "Brooklyn", "Williamsburg (South Side)", 40.70824229999999, -73.9571487),
Location(257, "Brooklyn", "Windsor Terrace", 40.6539346, -73.9756567),
Location(258, "Queens", "Woodhaven", 40.6901366, -73.8566087),
Location(259, "Bronx", "Woodlawn/Wakefield", 40.8955885, -73.8627133),
Location(260, "Queens", "Woodside", 40.7532952, -73.9068973),
Location(261, "Manhattan", "World Trade Center", 40.7118011, -74.0131196),
Location(262, "Manhattan", "Yorkville East", 40.7762231, -73.94920789999999),
Location(263, "Manhattan", "Yorkville West", 40.7762231, -73.94920789999999)
]
| class Location:
def __init__(self, location_id, borough, zone, lat, lng):
self.location_id = location_id
self.borough = borough
self.zone = zone
self.lat = lat
self.lng = lng
@property
def json(self):
return {'location_id': self.location_id, 'borough': self.borough, 'zone': self.zone, 'lat': self.lat, 'lng': self.lng}
locations = [location(1, 'EWR', 'Newark Airport', 40.6895314, -74.1744624), location(2, 'Queens', 'Jamaica Bay', 40.6056632, -73.8713099), location(3, 'Bronx', 'Allerton/Pelham Gardens', 40.8627726, -73.84343919999999), location(4, 'Manhattan', 'Alphabet City', 40.7258428, -73.9774916), location(5, 'Staten Island', 'Arden Heights', 40.556413, -74.1735044), location(6, 'Staten Island', 'Arrochar/Fort Wadsworth', 40.6012117, -74.0579185), location(7, 'Queens', 'Astoria', 40.7643574, -73.92346189999999), location(8, 'Queens', 'Astoria Park', 40.7785364, -73.92283359999999), location(9, 'Queens', 'Auburndale', 40.7577672, -73.78339609999999), location(10, 'Queens', 'Baisley Park', 40.6737751, -73.786025), location(11, 'Brooklyn', 'Bath Beach', 40.6038852, -74.0062078), location(12, 'Manhattan', 'Battery Park', 40.703141, -74.0159996), location(13, 'Manhattan', 'Battery Park City', 40.7115786, -74.0158441), location(14, 'Brooklyn', 'Bay Ridge', 40.6263732, -74.0298767), location(15, 'Queens', 'Bay Terrace/Fort Totten', 40.7920899, -73.7760996), location(16, 'Queens', 'Bayside', 40.7585569, -73.7654367), location(17, 'Brooklyn', 'Bedford', 40.6872176, -73.9417735), location(18, 'Bronx', 'Bedford Park', 40.8700999, -73.8856912), location(19, 'Queens', 'Bellerose', 40.7361769, -73.7137365), location(20, 'Bronx', 'Belmont', 40.8534507, -73.88936819999999), location(21, 'Brooklyn', 'Bensonhurst East', 40.6139307, -73.9921833), location(22, 'Brooklyn', 'Bensonhurst West', 40.6139307, -73.9921833), location(23, 'Staten Island', 'Bloomfield/Emerson Hill', 40.6074525, -74.0963115), location(24, 'Manhattan', 'Bloomingdale', 40.7988958, -73.9697795), location(25, 'Brooklyn', 'Boerum Hill', 40.6848689, -73.9844722), location(26, 'Brooklyn', 'Borough Park', 40.6350319, -73.9921028), location(27, 'Queens', 'Breezy Point/Fort Tilden/Riis Beach', 40.5597687, -73.88761509999999), location(28, 'Queens', 'Briarwood/Jamaica Hills', 40.7109315, -73.81356099999999), location(29, 'Brooklyn', 'Brighton Beach', 40.5780706, -73.9596565), location(30, 'Queens', 'Broad Channel', 40.6158335, -73.8213213), location(31, 'Bronx', 'Bronx Park', 40.8608544, -73.8706278), location(32, 'Bronx', 'Bronxdale', 40.8474697, -73.8599132), location(33, 'Brooklyn', 'Brooklyn Heights', 40.6959294, -73.9955523), location(34, 'Brooklyn', 'Brooklyn Navy Yard', 40.7025634, -73.9697795), location(35, 'Brooklyn', 'Brownsville', 40.665214, -73.9125304), location(36, 'Brooklyn', 'Bushwick North', 40.6957755, -73.9170604), location(37, 'Brooklyn', 'Bushwick South', 40.7043655, -73.9383476), location(38, 'Queens', 'Cambria Heights', 40.692158, -73.7330753), location(39, 'Brooklyn', 'Canarsie', 40.6402325, -73.9060579), location(40, 'Brooklyn', 'Carroll Gardens', 40.6795331, -73.9991637), location(41, 'Manhattan', 'Central Harlem', 40.8089419, -73.9482305), location(42, 'Manhattan', 'Central Harlem North', 40.8142585, -73.9426617), location(43, 'Manhattan', 'Central Park', 40.7812199, -73.9665138), location(44, 'Staten Island', 'Charleston/Tottenville', 40.5083408, -74.23554039999999), location(45, 'Manhattan', 'Chinatown', 40.7157509, -73.9970307), location(46, 'Bronx', 'City Island', 40.8468202, -73.7874983), location(47, 'Bronx', 'Claremont/Bathgate', 40.84128339999999, -73.9001573), location(48, 'Manhattan', 'Clinton East', 40.7637581, -73.9918181), location(49, 'Brooklyn', 'Clinton Hill', 40.6896834, -73.9661144), location(50, 'Manhattan', 'Clinton West', 40.7628785, -73.9940134), location(51, 'Bronx', 'Co-Op City', 40.8738889, -73.82944440000001), location(52, 'Brooklyn', 'Cobble Hill', 40.686536, -73.9962255), location(53, 'Queens', 'College Point', 40.786395, -73.8389657), location(54, 'Brooklyn', 'Columbia Street', 40.6775239, -74.00634409999999), location(55, 'Brooklyn', 'Coney Island', 40.5755438, -73.9707016), location(56, 'Queens', 'Corona', 40.7449859, -73.8642613), location(57, 'Queens', 'Corona', 40.7449859, -73.8642613), location(58, 'Bronx', 'Country Club', 40.8391667, -73.8197222), location(59, 'Bronx', 'Crotona Park', 40.8400367, -73.8953489), location(60, 'Bronx', 'Crotona Park East', 40.8365344, -73.8933509), location(61, 'Brooklyn', 'Crown Heights North', 40.6694022, -73.9422324), location(62, 'Brooklyn', 'Crown Heights South', 40.6694022, -73.9422324), location(63, 'Brooklyn', 'Cypress Hills', 40.6836873, -73.87963309999999), location(64, 'Queens', 'Douglaston', 40.76401509999999, -73.7433727), location(65, 'Brooklyn', 'Downtown Brooklyn/MetroTech', 40.6930987, -73.98566339999999), location(66, 'Brooklyn', 'DUMBO/Vinegar Hill', 40.70371859999999, -73.98226830000002), location(67, 'Brooklyn', 'Dyker Heights', 40.6214932, -74.00958399999999), location(68, 'Manhattan', 'East Chelsea', 40.7465004, -74.00137370000002), location(69, 'Bronx', 'East Concourse/Concourse Village', 40.8255863, -73.9184388), location(70, 'Queens', 'East Elmhurst', 40.7737505, -73.8713099), location(71, 'Brooklyn', 'East Flatbush/Farragut', 40.63751329999999, -73.9280797), location(72, 'Brooklyn', 'East Flatbush/Remsen Village', 40.6511399, -73.9181602), location(73, 'Queens', 'East Flushing', 40.7540534, -73.8086418), location(74, 'Manhattan', 'East Harlem North', 40.7957399, -73.93892129999999), location(75, 'Manhattan', 'East Harlem South', 40.7957399, -73.93892129999999), location(76, 'Brooklyn', 'East New York', 40.6590529, -73.8759245), location(77, 'Brooklyn', 'East New York/Pennsylvania Avenue', 40.65845729999999, -73.8904498), location(78, 'Bronx', 'East Tremont', 40.8453781, -73.8909693), location(79, 'Manhattan', 'East Village', 40.7264773, -73.98153370000001), location(80, 'Brooklyn', 'East Williamsburg', 40.7141953, -73.9316461), location(81, 'Bronx', 'Eastchester', 40.8859837, -73.82794710000002), location(82, 'Queens', 'Elmhurst', 40.737975, -73.8801301), location(83, 'Queens', 'Elmhurst/Maspeth', 40.7294018, -73.9065883), location(84, 'Staten Island', "Eltingville/Annadale/Prince's Bay", 40.52899439999999, -74.197644), location(85, 'Brooklyn', 'Erasmus', 40.649649, -73.95287379999999), location(86, 'Queens', 'Far Rockaway', 40.5998931, -73.74484369999999), location(87, 'Manhattan', 'Financial District North', 40.7077143, -74.00827869999999), location(88, 'Manhattan', 'Financial District South', 40.705123, -74.0049259), location(89, 'Brooklyn', 'Flatbush/Ditmas Park', 40.6414876, -73.9593998), location(90, 'Manhattan', 'Flatiron', 40.740083, -73.9903489), location(91, 'Brooklyn', 'Flatlands', 40.6232714, -73.9321664), location(92, 'Queens', 'Flushing', 40.7674987, -73.833079), location(93, 'Queens', 'Flushing Meadows-Corona Park', 40.7400275, -73.8406953), location(94, 'Bronx', 'Fordham South', 40.8592667, -73.8984694), location(95, 'Queens', 'Forest Hills', 40.718106, -73.8448469), location(96, 'Queens', 'Forest Park/Highland Park', 40.6960418, -73.8663024), location(97, 'Brooklyn', 'Fort Greene', 40.6920638, -73.97418739999999), location(98, 'Queens', 'Fresh Meadows', 40.7335179, -73.7801447), location(99, 'Staten Island', 'Freshkills Park', 40.5772365, -74.1858183), location(100, 'Manhattan', 'Garment District', 40.7547072, -73.9916342), location(101, 'Queens', 'Glen Oaks', 40.7471504, -73.7118223), location(102, 'Queens', 'Glendale', 40.7016662, -73.8842219), location(103, 'Manhattan', "Governor's Island/Ellis Island/Liberty Island", 40.6892494, -74.04450039999999), location(104, 'Manhattan', "Governor's Island/Ellis Island/Liberty Island", 40.6892494, -74.04450039999999), location(105, 'Manhattan', "Governor's Island/Ellis Island/Liberty Island", 40.6892494, -74.04450039999999), location(106, 'Brooklyn', 'Gowanus', 40.6751161, -73.9879753), location(107, 'Manhattan', 'Gramercy', 40.7367783, -73.9844722), location(108, 'Brooklyn', 'Gravesend', 40.5918636, -73.9768653), location(109, 'Staten Island', 'Great Kills', 40.5543273, -74.156292), location(110, 'Staten Island', 'Great Kills Park', 40.5492367, -74.1238486), location(111, 'Brooklyn', 'Green-Wood Cemetery', 40.6579777, -73.9940634), location(112, 'Brooklyn', 'Greenpoint', 40.7304701, -73.95150319999999), location(113, 'Manhattan', 'Greenwich Village North', 40.7335719, -74.0027418), location(114, 'Manhattan', 'Greenwich Village South', 40.7335719, -74.0027418), location(115, 'Staten Island', 'Grymes Hill/Clifton', 40.6189726, -74.0784785), location(116, 'Manhattan', 'Hamilton Heights', 40.8252793, -73.94761390000001), location(117, 'Queens', 'Hammels/Arverne', 40.5880813, -73.81199289999999), location(118, 'Staten Island', 'Heartland Village/Todt Hill', 40.5975007, -74.10189749999999), location(119, 'Bronx', 'Highbridge', 40.836916, -73.9271294), location(120, 'Manhattan', 'Highbridge Park', 40.8537599, -73.9257492), location(121, 'Queens', 'Hillcrest/Pomonok', 40.732341, -73.81077239999999), location(122, 'Queens', 'Hollis', 40.7112203, -73.762495), location(123, 'Brooklyn', 'Homecrest', 40.6004787, -73.9565551), location(124, 'Queens', 'Howard Beach', 40.6571222, -73.8429989), location(125, 'Manhattan', 'Hudson Sq', 40.7265834, -74.0074731), location(126, 'Bronx', 'Hunts Point', 40.8094385, -73.8803315), location(127, 'Manhattan', 'Inwood', 40.8677145, -73.9212019), location(128, 'Manhattan', 'Inwood Hill Park', 40.8722007, -73.9255549), location(129, 'Queens', 'Jackson Heights', 40.7556818, -73.8830701), location(130, 'Queens', 'Jamaica', 40.702677, -73.7889689), location(131, 'Queens', 'Jamaica Estates', 40.7179512, -73.783822), location(132, 'Queens', 'JFK Airport', 40.6413111, -73.77813909999999), location(133, 'Brooklyn', 'Kensington', 40.63852019999999, -73.97318729999999), location(134, 'Queens', 'Kew Gardens', 40.705695, -73.8272029), location(135, 'Queens', 'Kew Gardens Hills', 40.724707, -73.8207618), location(136, 'Bronx', 'Kingsbridge Heights', 40.8711235, -73.8976328), location(137, 'Manhattan', 'Kips Bay', 40.74232920000001, -73.9800645), location(138, 'Queens', 'LaGuardia Airport', 40.7769271, -73.8739659), location(139, 'Queens', 'Laurelton', 40.67764, -73.7447853), location(140, 'Manhattan', 'Lenox Hill East', 40.7662315, -73.9602312), location(141, 'Manhattan', 'Lenox Hill West', 40.7662315, -73.9602312), location(142, 'Manhattan', 'Lincoln Square East', 40.7741769, -73.98491179999999), location(143, 'Manhattan', 'Lincoln Square West', 40.7741769, -73.98491179999999), location(144, 'Manhattan', 'Little Italy/NoLiTa', 40.7230413, -73.99486069999999), location(145, 'Queens', 'Long Island City/Hunters Point', 40.7485587, -73.94964639999999), location(146, 'Queens', 'Long Island City/Queens Plaza', 40.7509846, -73.9402762), location(147, 'Bronx', 'Longwood', 40.8248438, -73.8915875), location(148, 'Manhattan', 'Lower East Side', 40.715033, -73.9842724), location(149, 'Brooklyn', 'Madison', 40.60688529999999, -73.947958), location(150, 'Brooklyn', 'Manhattan Beach', 40.57815799999999, -73.93892129999999), location(151, 'Manhattan', 'Manhattan Valley', 40.7966989, -73.9684247), location(152, 'Manhattan', 'Manhattanville', 40.8169443, -73.9558333), location(153, 'Manhattan', 'Marble Hill', 40.8761173, -73.9102628), location(154, 'Brooklyn', 'Marine Park/Floyd Bennett Field', 40.58816030000001, -73.8969745), location(155, 'Brooklyn', 'Marine Park/Mill Basin', 40.6055157, -73.9348698), location(156, 'Staten Island', 'Mariners Harbor', 40.63677010000001, -74.1587547), location(157, 'Queens', 'Maspeth', 40.7294018, -73.9065883), location(158, 'Manhattan', 'Meatpacking/West Village West', 40.7342331, -74.0100622), location(159, 'Bronx', 'Melrose South', 40.824545, -73.9104143), location(160, 'Queens', 'Middle Village', 40.717372, -73.87425), location(161, 'Manhattan', 'Midtown Center', 40.7314658, -73.9970956), location(162, 'Manhattan', 'Midtown East', 40.7571432, -73.9718815), location(163, 'Manhattan', 'Midtown North', 40.7649516, -73.9851039), location(164, 'Manhattan', 'Midtown South', 40.7521795, -73.9875438), location(165, 'Brooklyn', 'Midwood', 40.6204388, -73.95997779999999), location(166, 'Manhattan', 'Morningside Heights', 40.8105443, -73.9620581), location(167, 'Bronx', 'Morrisania/Melrose', 40.824545, -73.9104143), location(168, 'Bronx', 'Mott Haven/Port Morris', 40.8022025, -73.9166051), location(169, 'Bronx', 'Mount Hope', 40.8488863, -73.9051185), location(170, 'Manhattan', 'Murray Hill', 40.7478792, -73.9756567), location(171, 'Queens', 'Murray Hill-Queens', 40.7634996, -73.8073261), location(172, 'Staten Island', 'New Dorp/Midland Beach', 40.5739937, -74.1159755), location(173, 'Queens', 'North Corona', 40.7543725, -73.8669188), location(174, 'Bronx', 'Norwood', 40.8810341, -73.878486), location(175, 'Queens', 'Oakland Gardens', 40.7408584, -73.758241), location(176, 'Staten Island', 'Oakwood', 40.563994, -74.1159754), location(177, 'Brooklyn', 'Ocean Hill', 40.6782737, -73.9108212), location(178, 'Brooklyn', 'Ocean Parkway South', 40.61287799999999, -73.96838620000001), location(179, 'Queens', 'Old Astoria', 40.7643574, -73.92346189999999), location(180, 'Queens', 'Ozone Park', 40.6794072, -73.8507279), location(181, 'Brooklyn', 'Park Slope', 40.6710672, -73.98142279999999), location(182, 'Bronx', 'Parkchester', 40.8382522, -73.8566087), location(183, 'Bronx', 'Pelham Bay', 40.8505556, -73.83333329999999), location(184, 'Bronx', 'Pelham Bay Park', 40.8670144, -73.81006339999999), location(185, 'Bronx', 'Pelham Parkway', 40.8553279, -73.8639594), location(186, 'Manhattan', 'Penn Station/Madison Sq West', 40.7505045, -73.9934387), location(187, 'Staten Island', 'Port Richmond', 40.63549140000001, -74.1254641), location(188, 'Brooklyn', 'Prospect-Lefferts Gardens', 40.6592355, -73.9533895), location(189, 'Brooklyn', 'Prospect Heights', 40.6774196, -73.9668408), location(190, 'Brooklyn', 'Prospect Park', 40.6602037, -73.9689558), location(191, 'Queens', 'Queens Village', 40.7156628, -73.7419017), location(192, 'Queens', 'Queensboro Hill', 40.7429383, -73.8251741), location(193, 'Queens', 'Queensbridge/Ravenswood', 40.7556711, -73.9456723), location(194, 'Manhattan', 'Randalls Island', 40.7932271, -73.92128579999999), location(195, 'Brooklyn', 'Red Hook', 40.6733676, -74.00831889999999), location(196, 'Queens', 'Rego Park', 40.72557219999999, -73.8624893), location(197, 'Queens', 'Richmond Hill', 40.6958108, -73.8272029), location(198, 'Queens', 'Ridgewood', 40.7043986, -73.9018292), location(199, 'Bronx', 'Rikers Island', 40.79312770000001, -73.88601), location(200, 'Bronx', 'Riverdale/North Riverdale/Fieldston', 40.89961830000001, -73.9088276), location(201, 'Queens', 'Rockaway Park', 40.57978629999999, -73.8372237), location(202, 'Manhattan', 'Roosevelt Island', 40.76050310000001, -73.9509934), location(203, 'Queens', 'Rosedale', 40.6584068, -73.7389596), location(204, 'Staten Island', 'Rossville/Woodrow', 40.5434385, -74.19764409999999), location(205, 'Queens', 'Saint Albans', 40.6895283, -73.76436880000001), location(206, 'Staten Island', 'Saint George/New Brighton', 40.6404369, -74.090226), location(207, 'Queens', 'Saint Michaels Cemetery/Woodside', 40.7646761, -73.89850419999999), location(208, 'Bronx', 'Schuylerville/Edgewater Park', 40.8235967, -73.81029269999999), location(209, 'Manhattan', 'Seaport', 40.70722629999999, -74.0027431), location(210, 'Brooklyn', 'Sheepshead Bay', 40.5953955, -73.94575379999999), location(211, 'Manhattan', 'SoHo', 40.723301, -74.0029883), location(212, 'Bronx', 'Soundview/Bruckner', 40.8247566, -73.8710929), location(213, 'Bronx', 'Soundview/Castle Hill', 40.8176831, -73.8507279), location(214, 'Staten Island', 'South Beach/Dongan Hills', 40.5903824, -74.06680759999999), location(215, 'Queens', 'South Jamaica', 40.6808594, -73.7919103), location(216, 'Queens', 'South Ozone Park', 40.6764003, -73.8124984), location(217, 'Brooklyn', 'South Williamsburg', 40.7043921, -73.9565551), location(218, 'Queens', 'Springfield Gardens North', 40.6715916, -73.779798), location(219, 'Queens', 'Springfield Gardens South', 40.6715916, -73.779798), location(220, 'Bronx', 'Spuyten Duyvil/Kingsbridge', 40.8833912, -73.9051185), location(221, 'Staten Island', 'Stapleton', 40.6264929, -74.07764139999999), location(222, 'Brooklyn', 'Starrett City', 40.6484272, -73.88236119999999), location(223, 'Queens', 'Steinway', 40.7745459, -73.9037477), location(224, 'Manhattan', 'Stuy Town/Peter Cooper Village', 40.7316903, -73.9778494), location(225, 'Brooklyn', 'Stuyvesant Heights', 40.6824166, -73.9319933), location(226, 'Queens', 'Sunnyside', 40.7432759, -73.9196324), location(227, 'Brooklyn', 'Sunset Park East', 40.65272, -74.00933479999999), location(228, 'Brooklyn', 'Sunset Park West', 40.65272, -74.00933479999999), location(229, 'Manhattan', 'Sutton Place/Turtle Bay North', 40.7576281, -73.961698), location(230, 'Manhattan', 'Times Sq/Theatre District', 40.759011, -73.9844722), location(231, 'Manhattan', 'TriBeCa/Civic Center', 40.71625299999999, -74.0122396), location(232, 'Manhattan', 'Two Bridges/Seward Park', 40.7149056, -73.98924699999999), location(233, 'Manhattan', 'UN/Turtle Bay South', 40.7571432, -73.9718815), location(234, 'Manhattan', 'Union Sq', 40.7358633, -73.9910835), location(235, 'Bronx', 'University Heights/Morris Heights', 40.8540855, -73.9198498), location(236, 'Manhattan', 'Upper East Side North', 40.7600931, -73.9598414), location(237, 'Manhattan', 'Upper East Side South', 40.7735649, -73.9565551), location(238, 'Manhattan', 'Upper West Side North', 40.7870106, -73.9753676), location(239, 'Manhattan', 'Upper West Side South', 40.7870106, -73.9753676), location(240, 'Bronx', 'Van Cortlandt Park', 40.8972233, -73.8860668), location(241, 'Bronx', 'Van Cortlandt Village', 40.8837203, -73.89313899999999), location(242, 'Bronx', 'Van Nest/Morris Park', 40.8459682, -73.8625946), location(243, 'Manhattan', 'Washington Heights North', 40.852476, -73.9342996), location(244, 'Manhattan', 'Washington Heights South', 40.8417082, -73.9393554), location(245, 'Staten Island', 'West Brighton', 40.6270298, -74.10931409999999), location(246, 'Manhattan', 'West Chelsea/Hudson Yards', 40.7542535, -74.0023331), location(247, 'Bronx', 'West Concourse', 40.8316761, -73.9227554), location(248, 'Bronx', 'West Farms/Bronx River', 40.8430609, -73.8816001), location(249, 'Manhattan', 'West Village', 40.73468, -74.0047554), location(250, 'Bronx', 'Westchester Village/Unionport', 40.8340447, -73.8531349), location(251, 'Staten Island', 'Westerleigh', 40.616296, -74.1386767), location(252, 'Queens', 'Whitestone', 40.7920449, -73.8095574), location(253, 'Queens', 'Willets Point', 40.7606911, -73.840436), location(254, 'Bronx', 'Williamsbridge/Olinville', 40.8787602, -73.85283559999999), location(255, 'Brooklyn', 'Williamsburg (North Side)', 40.71492, -73.9528472), location(256, 'Brooklyn', 'Williamsburg (South Side)', 40.70824229999999, -73.9571487), location(257, 'Brooklyn', 'Windsor Terrace', 40.6539346, -73.9756567), location(258, 'Queens', 'Woodhaven', 40.6901366, -73.8566087), location(259, 'Bronx', 'Woodlawn/Wakefield', 40.8955885, -73.8627133), location(260, 'Queens', 'Woodside', 40.7532952, -73.9068973), location(261, 'Manhattan', 'World Trade Center', 40.7118011, -74.0131196), location(262, 'Manhattan', 'Yorkville East', 40.7762231, -73.94920789999999), location(263, 'Manhattan', 'Yorkville West', 40.7762231, -73.94920789999999)] |
# By listing the first six prime numbers: 2, 3, 5, 7, 11, and 13, we can see that the 6th prime is 13.
#
# What is the 10 001st prime number?
primes = []
for i in range(2, 100):
if len(primes) == 10001:
break
x = list(map(lambda y: i % y == 0, range(2,i)))
if sum(x) == False:
primes.append(i)
print(i)
print(primes[-1] , "Len: ", len(primes))
# x = list(map(lambda y: i % y == 0, range(2,i)))
| primes = []
for i in range(2, 100):
if len(primes) == 10001:
break
x = list(map(lambda y: i % y == 0, range(2, i)))
if sum(x) == False:
primes.append(i)
print(i)
print(primes[-1], 'Len: ', len(primes)) |
# Converts a given temperature from Celsius to Fahrenheit
# Prompt user for Celsius temperature
degreesCelsius = float(input('\nEnter the temperature in Celsius: '))
# Calculate and display the converted
# temperature in Fahrenheit
degreesFahrenheit = ((9.0 / 5.0) * degreesCelsius) + 32
print('Fahrenheit equivalent: ', format(degreesFahrenheit, ',.1f'), '\n', sep='') | degrees_celsius = float(input('\nEnter the temperature in Celsius: '))
degrees_fahrenheit = 9.0 / 5.0 * degreesCelsius + 32
print('Fahrenheit equivalent: ', format(degreesFahrenheit, ',.1f'), '\n', sep='') |
class Solution:
def subtractProductAndSum(self, n: int) -> int:
x = n
add = 0
mul = 1
while x > 0 :
add += x%10
mul *= x%10
x = x//10
return mul - add
| class Solution:
def subtract_product_and_sum(self, n: int) -> int:
x = n
add = 0
mul = 1
while x > 0:
add += x % 10
mul *= x % 10
x = x // 10
return mul - add |
# Implementation of Shell Sort algorithm in Python
def shellSort(arr):
interval = 1
# Initializes interval
while (interval < (len(arr) // 3)):
interval = (interval * 3) + 1
while (interval > 0):
for i in range(interval, len(arr)):
# Select val to be inserted
val = arr[i]
j = i
# Shift element right
while ((j > interval - 1) and (arr[j - interval] >= val)):
arr[j] = arr[j - interval]
j -= interval
# Insert val at hole position
arr[j] = val
# Calculate interval
interval = (interval - 1) / 3
l = [4, 1, 2, 5, 3]
print("Initial list: " + str(l))
shellSort(l)
print("Sorted list: " + str(l))
| def shell_sort(arr):
interval = 1
while interval < len(arr) // 3:
interval = interval * 3 + 1
while interval > 0:
for i in range(interval, len(arr)):
val = arr[i]
j = i
while j > interval - 1 and arr[j - interval] >= val:
arr[j] = arr[j - interval]
j -= interval
arr[j] = val
interval = (interval - 1) / 3
l = [4, 1, 2, 5, 3]
print('Initial list: ' + str(l))
shell_sort(l)
print('Sorted list: ' + str(l)) |
TASK_STATUS = [
('TD', 'To Do'),
('IP', 'In Progress'),
('QA', 'Testing'),
('DO', 'Done'),
]
TASK_PRIORITY = [
('ME', 'Medium'),
('HI', 'Highest'),
('HG', 'High'),
('LO', 'Lowest'),
]
| task_status = [('TD', 'To Do'), ('IP', 'In Progress'), ('QA', 'Testing'), ('DO', 'Done')]
task_priority = [('ME', 'Medium'), ('HI', 'Highest'), ('HG', 'High'), ('LO', 'Lowest')] |
def main():
total = 0
for i in range(0, 1000):
if i % 3 == 0:
total += i
elif i % 5 == 0:
total += i
print(total)
if __name__ == '__main__':
main()
| def main():
total = 0
for i in range(0, 1000):
if i % 3 == 0:
total += i
elif i % 5 == 0:
total += i
print(total)
if __name__ == '__main__':
main() |
class BaseTransform:
def transform_s(self, s, training=True):
return s
def transform_batch(self, batch, training=True):
return batch
def write_logs(self, logger):
pass
| class Basetransform:
def transform_s(self, s, training=True):
return s
def transform_batch(self, batch, training=True):
return batch
def write_logs(self, logger):
pass |
elements = {
'em': '',
'blockquote': '<br/>'
}
| elements = {'em': '', 'blockquote': '<br/>'} |
def rate_diff_percentage(previous_rate, current_rate, percentage=False):
diff_percentage = (current_rate - previous_rate) / previous_rate
if percentage:
return diff_percentage * 100
return diff_percentage | def rate_diff_percentage(previous_rate, current_rate, percentage=False):
diff_percentage = (current_rate - previous_rate) / previous_rate
if percentage:
return diff_percentage * 100
return diff_percentage |
# Assume that we execute the following assignment statements
# width = 17
# height = 12.0
width = 17
height = 12.0
value_1 = width // 2
value_2 = width / 2.0
value_3 = height / 3
value_4 = 1 + 2 * 5
print(f"value_1 is {value_1} and it's type is {type(value_1)}")
print(f"value_2 is {value_2} and it's type is {type(value_2)}")
print(f"value_3 is {value_3} and it's type is {type(value_3)}")
print(f"value_4 is {value_4} and it's type is {type(value_4)}")
| width = 17
height = 12.0
value_1 = width // 2
value_2 = width / 2.0
value_3 = height / 3
value_4 = 1 + 2 * 5
print(f"value_1 is {value_1} and it's type is {type(value_1)}")
print(f"value_2 is {value_2} and it's type is {type(value_2)}")
print(f"value_3 is {value_3} and it's type is {type(value_3)}")
print(f"value_4 is {value_4} and it's type is {type(value_4)}") |
class Solution:
def mostVisited(self, n: int, rounds: List[int]) -> List[int]:
start, end = rounds[0], rounds[-1]
if end >= start:
return list(range(start, end + 1))
else:
return list(range(1, end + 1)) + list(range(start, n + 1))
| class Solution:
def most_visited(self, n: int, rounds: List[int]) -> List[int]:
(start, end) = (rounds[0], rounds[-1])
if end >= start:
return list(range(start, end + 1))
else:
return list(range(1, end + 1)) + list(range(start, n + 1)) |
__author__ = 'Evan Cordell'
__copyright__ = 'Copyright 2012-2015 Localmed, Inc.'
__version__ = "0.1.6"
__version_info__ = tuple(__version__.split('.'))
__short_version__ = __version__
| __author__ = 'Evan Cordell'
__copyright__ = 'Copyright 2012-2015 Localmed, Inc.'
__version__ = '0.1.6'
__version_info__ = tuple(__version__.split('.'))
__short_version__ = __version__ |
# -*- coding: utf-8 -*-
# Copyright (c) 2013 Australian Government, Department of the Environment
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
'''
base 64 encoded gif images for the GUI buttons
'''
class app_img:
format='gif'
data='''R0lGODlhEAAQAOeRACcLIiAbCSAjCjMdMzsfMjUkGUcmRjwwJ0YqRj4xJVwoUFguRkU2MS0/LzQ8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'''
class shp_img:
format='gif'
data='''R0lGODlhEAAQAMIFABAQEIBnII+HgLS0pfDwsC8gIC8gIC8gICH5BAEKAAcALAAAAAAQABAAAAND
eLrcJzBKqcQIN+MtwAvTNHTPSJwoQAigxwpouo4urZ7364I4cM8kC0x20n2GRGEtJGl9NFBMkBny
HHzYrNbB7XoXCQA7'''
class dir_img:
format='gif',
data='''R0lGODlhEAAQAMZUABAQEB8QEB8YEC8gIC8vIEA4ME9IQF9IIFpTSWBXQHBfUFBoj3NlRoBnII9v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'''
class xls_img:
format='gif'
data='''R0lGODlhEAAQAPcAAAAAAIAAAACAAICAAAAAgIAAgACAgICAgMDAwP8AAAD/AP//AAAA//8A/wD/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'''
class xsl_img:
format='gif'
data='''R0lGODdhEAAQAOMPAAAAAAAAgAAAmQAA/zNmmQCAgDNm/zOZAIaGhjOZ/zPM/8DAwKbK8DP///Hx
8f///ywBAAAADwAQAAAEWBDJSeW76Or9Vn4f5zzOAp5kOo5AC2QOMxaFQcrP+zDCUzyNROAhkL14
pEJDcQiMijqkIXEYDIsOXWwU6N5Yn5VKpSWYz2fwRcwmldFo9bidhc3Hrrw+HwEAOw=='''
class log_img:
format='gif'
data='''R0lGODlhEAAQAIQQAG9s0oJ5eatyP6tycpePj6ulP6ulctWeOaulpdWentXSOcvHx9XS0v/MzP//
zP///y8gIC8gIC8gIC8gIC8gIC8gIC8gIC8gIC8gIC8gIC8gIC8gIC8gIC8gIC8gIC8gICH5BAEK
ABAALAAAAAAQABAAAAViICSOUNMwjEOOhyIUyhAbzMoAgJAQi9EjtRGAIXgUjw9CUDR8OJ9OJakJ
fUqFjCSBZ11CqNWkt7ndLqLjbFg8zZa5bOw6znSfoVfm3clYIP5eEH4EAQFlCAsrEH2ICygoJCEA
Ow=='''
| """
base 64 encoded gif images for the GUI buttons
"""
class App_Img:
format = 'gif'
data = 'R0lGODlhEAAQAOeRACcLIiAbCSAjCjMdMzsfMjUkGUcmRjwwJ0YqRj4xJVwoUFguRkU2MS0/LzQ8\n PC8/LzM+QTJCMDJCQTpCQCxIME1CIXQyYW48KTpLO1REPEpKSktKS01KSkpLSkxLTE1LS0VNUDtS\n PD9PT0tMTExMTE1MTUxNTU1NTU5NTUFUQFFOTkZRU1BPTU9QUUVTVF9PO1JUVVRVSnlNMEVeRlZX\n W1ZYVVZYWF5XVFBdUkpfX2RZXIZMgVtdX11eX1tfW1xfW1tfXqZEkFtgW2NfYWZgW2tdal9iXk9m\n Z19iYk9pTqZIn5lNlU1rTp1XOF9lZVxnXF5oXlNrZ59eM1FzU1dyVcVItJJmSl5ycq1Wp1t0cLlU\n tWB1eF52dmKBY12DX9RWwGN/f+RSzaVzTdNbxmaEhLlzRdFhs2WJZWeJZmOMZ7Z2UXGGhm2IiGqJ\n iKV+VmuKimyKi26Ojm2ScnGQkGuWb22Wb3OTk+xp2+dr5eF73Pl154SfoMKYeIampoimptiYbPuB\n 8viD8I2sq/KJ7pOtrZGuruebbpGvr/+I/Ja1tdqrf9i3i/iweviwhP+zhf/Hif/Lpf//////////\n ////////////////////////////////////////////////////////////////////////////\n ////////////////////////////////////////////////////////////////////////////\n ////////////////////////////////////////////////////////////////////////////\n ////////////////////////////////////////////////////////////////////////////\n ////////////////////////////////////////////////////////////////////////////\n /////////////////////////////////////////////////////yH5BAEKAP8ALAAAAAAQABAA\n AAjRAP8JHEiwoMGBGk6MOChQgwYgEnJwcdGjoAYbIo5EyQIGjh02axyYIOjkSqI4bci8mdPnECEk\n Ggi2WFHIj6A9WyDQgEFiYIcfKR5MAMHDhJAQTCLUIGgEQ5cZDZKgqUMnDRUfMQVu8ADFi5wzUyjg\n KLEh6z8PCAZhGfIEBQALZgAtMUCwyI48Y6roQRToThglAzYMZEFkgRY8X4Io0CEgBkENByDxYUAg\n QAU3jB6JKUBQxYtFigw5avSnjBQZN8wKTGBFTZMLGRwy/Mfhg2qCAQEAOw=='
class Shp_Img:
format = 'gif'
data = 'R0lGODlhEAAQAMIFABAQEIBnII+HgLS0pfDwsC8gIC8gIC8gICH5BAEKAAcALAAAAAAQABAAAAND\n eLrcJzBKqcQIN+MtwAvTNHTPSJwoQAigxwpouo4urZ7364I4cM8kC0x20n2GRGEtJGl9NFBMkBny\n HHzYrNbB7XoXCQA7'
class Dir_Img:
format = ('gif',)
data = 'R0lGODlhEAAQAMZUABAQEB8QEB8YEC8gIC8vIEA4ME9IQF9IIFpTSWBXQHBfUFBoj3NlRoBnII9v\n IIBwUGB3kH93YIZ5UZ94IJB/YIqAcLB/EI+IcICHn4+HgMCHEI6Oe4CPn4+PgMCQANCHEJ+PgICX\n r9CQANCQEJ+XgJKanaCgkK+fgJykoaKjo7CgkKimk+CfIKKoo6uoleCgMLCnkNCnUKuwpLSvkrSv\n mfCoMLWyn7+wkM+vcLS0pfCwML+4kPC3QNDAgM+/kPDAQP+/UODIgP/IUODQoP/QUPDQgP/QYP/P\n cPDYgP/XYP/XcP/YgPDgkP/ggP/gkPDnoP/noPDwoPDwsP/woP//////////////////////////\n ////////////////////////////////////////////////////////////////////////////\n /////////////////////////////////////////////////////////////////////////yH5\n BAEKAH8ALAAAAAAQABAAAAe1gH+Cg4SFhoQyHBghKIeEECV/ORwtEDYwmJg0hikLCzBDUlJTUCoz\n hZ4LKlGjUFBKJiQkIB0XgypPpFBLSb2+toImT643N5gnJ7IgIBkXJExQQTBN1NVNSkoxFc9OMDtK\n vkZEQjwvDC4gSNJNR0lGRkI/PDoNEn8gRTA+Su9CQPM1PhxY8SdDj2nw4umowWJEAwSCLqjAIaKi\n Bw0WLExwcGBDRAoRHihIYKAAgQECAARwxFJQIAA7'
class Xls_Img:
format = 'gif'
data = 'R0lGODlhEAAQAPcAAAAAAIAAAACAAICAAAAAgIAAgACAgICAgMDAwP8AAAD/AP//AAAA//8A/wD/\n /////wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\n AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMwAAZgAAmQAAzAAA/wAzAAAzMwAzZgAzmQAzzAAz/wBm\n AABmMwBmZgBmmQBmzABm/wCZAACZMwCZZgCZmQCZzACZ/wDMAADMMwDMZgDMmQDMzADM/wD/AAD/\n MwD/ZgD/mQD/zAD//zMAADMAMzMAZjMAmTMAzDMA/zMzADMzMzMzZjMzmTMzzDMz/zNmADNmMzNm\n ZjNmmTNmzDNm/zOZADOZMzOZZjOZmTOZzDOZ/zPMADPMMzPMZjPMmTPMzDPM/zP/ADP/MzP/ZjP/\n mTP/zDP//2YAAGYAM2YAZmYAmWYAzGYA/2YzAGYzM2YzZmYzmWYzzGYz/2ZmAGZmM2ZmZmZmmWZm\n zGZm/2aZAGaZM2aZZmaZmWaZzGaZ/2bMAGbMM2bMZmbMmWbMzGbM/2b/AGb/M2b/Zmb/mWb/zGb/\n /5kAAJkAM5kAZpkAmZkAzJkA/5kzAJkzM5kzZpkzmZkzzJkz/5lmAJlmM5lmZplmmZlmzJlm/5mZ\n AJmZM5mZZpmZmZmZzJmZ/5nMAJnMM5nMZpnMmZnMzJnM/5n/AJn/M5n/Zpn/mZn/zJn//8wAAMwA\n M8wAZswAmcwAzMwA/8wzAMwzM8wzZswzmcwzzMwz/8xmAMxmM8xmZsxmmcxmzMxm/8yZAMyZM8yZ\n ZsyZmcyZzMyZ/8zMAMzMM8zMZszMmczMzMzM/8z/AMz/M8z/Zsz/mcz/zMz///8AAP8AM/8AZv8A\n mf8AzP8A//8zAP8zM/8zZv8zmf8zzP8z//9mAP9mM/9mZv9mmf9mzP9m//+ZAP+ZM/+ZZv+Zmf+Z\n zP+Z///MAP/MM//MZv/Mmf/MzP/M////AP//M///Zv//mf//zP///ywAAAAAEAAQAAAIngBfuUKF\n ipBBg4MS9umTJYsrBAheSZwokGBBhwgeaNzIUSOhLKgydhz5EdWrB4oOelT5kdDJLwgUKRpEKOUX\n Gtpannzw5ZVNQje15czicmNPg1lwCtW5EeirQV+IEtI2iOjOmh9dQc2SimqWQa4efGzYcGZUr4NQ\n ddSWimwWr33UahRKly61qn0Iza1rl9qXKVIPIkyY8Mtft4gTTwkIADs='
class Xsl_Img:
format = 'gif'
data = 'R0lGODdhEAAQAOMPAAAAAAAAgAAAmQAA/zNmmQCAgDNm/zOZAIaGhjOZ/zPM/8DAwKbK8DP///Hx\n 8f///ywBAAAADwAQAAAEWBDJSeW76Or9Vn4f5zzOAp5kOo5AC2QOMxaFQcrP+zDCUzyNROAhkL14\n pEJDcQiMijqkIXEYDIsOXWwU6N5Yn5VKpSWYz2fwRcwmldFo9bidhc3Hrrw+HwEAOw=='
class Log_Img:
format = 'gif'
data = 'R0lGODlhEAAQAIQQAG9s0oJ5eatyP6tycpePj6ulP6ulctWeOaulpdWentXSOcvHx9XS0v/MzP//\n zP///y8gIC8gIC8gIC8gIC8gIC8gIC8gIC8gIC8gIC8gIC8gIC8gIC8gIC8gIC8gIC8gICH5BAEK\n ABAALAAAAAAQABAAAAViICSOUNMwjEOOhyIUyhAbzMoAgJAQi9EjtRGAIXgUjw9CUDR8OJ9OJakJ\n fUqFjCSBZ11CqNWkt7ndLqLjbFg8zZa5bOw6znSfoVfm3clYIP5eEH4EAQFlCAsrEH2ICygoJCEA\n Ow==' |
def is_true(a,b,c,d,e,f,g):
if a>10:
print(10) | def is_true(a, b, c, d, e, f, g):
if a > 10:
print(10) |
#~ Copyright 2014 Wieger Wesselink.
#~ Distributed under the Boost Software License, Version 1.0.
#~ (See accompanying file LICENSE_1_0.txt or http://www.boost.org/LICENSE_1_0.txt)
def read_text(filename):
with open(filename, 'r') as f:
return f.read()
def write_text(filename, text):
with open(filename, 'w') as f:
f.write(text)
| def read_text(filename):
with open(filename, 'r') as f:
return f.read()
def write_text(filename, text):
with open(filename, 'w') as f:
f.write(text) |
_base_ = "./resnest50d_AugCosyAAEGray_BG05_visib10_mlBCE_DoubleMask_ycbvPbr100e_SO_01_02MasterChefCan.py"
OUTPUT_DIR = (
"output/gdrn/ycbvPbrSO/resnest50d_AugCosyAAEGray_BG05_visib10_mlBCE_DoubleMask_ycbvPbr100e_SO/09_10PottedMeatCan"
)
DATASETS = dict(TRAIN=("ycbv_010_potted_meat_can_train_pbr",))
| _base_ = './resnest50d_AugCosyAAEGray_BG05_visib10_mlBCE_DoubleMask_ycbvPbr100e_SO_01_02MasterChefCan.py'
output_dir = 'output/gdrn/ycbvPbrSO/resnest50d_AugCosyAAEGray_BG05_visib10_mlBCE_DoubleMask_ycbvPbr100e_SO/09_10PottedMeatCan'
datasets = dict(TRAIN=('ycbv_010_potted_meat_can_train_pbr',)) |
# -*- coding: utf-8 -*-
# __author__= "Ruda"
# Date: 2018/10/16
'''
import os
from rongcloud import RongCloud
app_key = os.environ['APP_KEY']
app_secret = os.environ['APP_SECRET']
rcloud = RongCloud(app_key, app_secret)
r = rcloud.User.getToken(userId='userid1', name='username', portraitUri='http://www.rongcloud.cn/images/logo.png')
print(r)
{'token': 'P9YNVZ2cMQwwaADiNDVrtRZKF+J2pVPOWSNlYMA1yA1g49pxjZs58n4FEufsH9XMCHTk6nHR6unQTuRgD8ZS/nlbkcv6ll4x', 'userId': 'userid1', 'code': 200}
r = rcloud.Message.publishPrivate(
fromUserId='userId1',
toUserId={"userId2","userid3","userId4"},
objectName='RC:VcMsg',
content='{"content":"hello","extra":"helloExtra","duration":20}',
pushContent='thisisapush',
pushData='{"pushData":"hello"}',
count='4',
verifyBlacklist='0',
isPersisted='0',
isCounted='0')
print(r)
{'code': 200}
'''
'''
More:
https://github.com/rongcloud/server-sdk-python
''' | """
import os
from rongcloud import RongCloud
app_key = os.environ['APP_KEY']
app_secret = os.environ['APP_SECRET']
rcloud = RongCloud(app_key, app_secret)
r = rcloud.User.getToken(userId='userid1', name='username', portraitUri='http://www.rongcloud.cn/images/logo.png')
print(r)
{'token': 'P9YNVZ2cMQwwaADiNDVrtRZKF+J2pVPOWSNlYMA1yA1g49pxjZs58n4FEufsH9XMCHTk6nHR6unQTuRgD8ZS/nlbkcv6ll4x', 'userId': 'userid1', 'code': 200}
r = rcloud.Message.publishPrivate(
fromUserId='userId1',
toUserId={"userId2","userid3","userId4"},
objectName='RC:VcMsg',
content='{"content":"hello","extra":"helloExtra","duration":20}',
pushContent='thisisapush',
pushData='{"pushData":"hello"}',
count='4',
verifyBlacklist='0',
isPersisted='0',
isCounted='0')
print(r)
{'code': 200}
"""
'\nMore:\n\nhttps://github.com/rongcloud/server-sdk-python\n\n' |
'''
If the child is currently on the nth step,
then there are three possibilites as to how
it reached there:
1. Reached (n-3)th step and hopped 3 steps in one time
2. Reached (n-2)th step and hopped 2 steps in one time
3. Reached (n-1)th step and hopped 2 steps in one time
The total number of possibilities is the sum of these 3
'''
def count_possibilities(n, store):
if store[n]!=0:
return
count_possibilities(n-1, store)
count_possibilities(n-2, store)
count_possibilities(n-3, store)
store[n]=store[n-1]+store[n-2]+store[n-3]
n=int(input())
store=[0 for i in range(n+1)] # Stores the number of possibilites for every i<n
store[0]=0
store[1]=1
store[2]=2
store[3]=4
count_possibilities(n, store)
print(store[n])
| """
If the child is currently on the nth step,
then there are three possibilites as to how
it reached there:
1. Reached (n-3)th step and hopped 3 steps in one time
2. Reached (n-2)th step and hopped 2 steps in one time
3. Reached (n-1)th step and hopped 2 steps in one time
The total number of possibilities is the sum of these 3
"""
def count_possibilities(n, store):
if store[n] != 0:
return
count_possibilities(n - 1, store)
count_possibilities(n - 2, store)
count_possibilities(n - 3, store)
store[n] = store[n - 1] + store[n - 2] + store[n - 3]
n = int(input())
store = [0 for i in range(n + 1)]
store[0] = 0
store[1] = 1
store[2] = 2
store[3] = 4
count_possibilities(n, store)
print(store[n]) |
class Solution:
def runningSum(self, nums: List[int]) -> List[int]:
for index in range(1, len(nums)):
nums[index] = nums[index - 1] + nums[index]
return nums
| class Solution:
def running_sum(self, nums: List[int]) -> List[int]:
for index in range(1, len(nums)):
nums[index] = nums[index - 1] + nums[index]
return nums |
class PrefabError(Exception):
pass
class HashAlgorithmNotFound(PrefabError):
pass
class ImageAccessError(PrefabError):
pass
class ImageBuildError(PrefabError):
pass
class ImageNotFoundError(PrefabError):
pass
class ImagePushError(PrefabError):
pass
class ImageValidationError(PrefabError):
pass
class InvalidConfigError(PrefabError):
pass
class TargetCyclicError(PrefabError):
pass
class TargetNotFoundError(PrefabError):
pass
| class Prefaberror(Exception):
pass
class Hashalgorithmnotfound(PrefabError):
pass
class Imageaccesserror(PrefabError):
pass
class Imagebuilderror(PrefabError):
pass
class Imagenotfounderror(PrefabError):
pass
class Imagepusherror(PrefabError):
pass
class Imagevalidationerror(PrefabError):
pass
class Invalidconfigerror(PrefabError):
pass
class Targetcyclicerror(PrefabError):
pass
class Targetnotfounderror(PrefabError):
pass |
class Opt:
def __init__(self):
self.dataset = "fashion200k"
self.dataset_path = "./dataset/Fashion200k"
self.batch_size = 32
self.embed_dim = 512
self.hashing = False
self.retrieve_by_random = True | class Opt:
def __init__(self):
self.dataset = 'fashion200k'
self.dataset_path = './dataset/Fashion200k'
self.batch_size = 32
self.embed_dim = 512
self.hashing = False
self.retrieve_by_random = True |
# Two children, Lily and Ron, want to share a chocolate bar. Each of the squares has an integer on it.
# Lily decides to share a contiguous segment of the bar selected such that:
# The length of the segment matches Ron's birth month, and,
# The sum of the integers on the squares is equal to his birth day.
# Determine how many ways she can divide the chocolate.
# int s[n]: the numbers on each of the squares of chocolate
# int d: Ron's birth day
# int m: Ron's birth month
# Two children
def birthday(s, d, m):
# Write your code here
numberDiveded = 0
numberIteration = len(s)-(m-1)
if(numberIteration == 0):
numberIteration = 1
for k in range(0, numberIteration):
newArray = s[k:k+m]
sumArray = sum(newArray)
if sumArray == d:
numberDiveded += 1
return numberDiveded
s = '2 5 1 3 4 4 3 5 1 1 2 1 4 1 3 3 4 2 1'
caracteres = '18 7'
array = list(map(int, s.split()))
caracteresList = list(map(int, caracteres.split()))
print(birthday(array, caracteresList[0], caracteresList[1]))
| def birthday(s, d, m):
number_diveded = 0
number_iteration = len(s) - (m - 1)
if numberIteration == 0:
number_iteration = 1
for k in range(0, numberIteration):
new_array = s[k:k + m]
sum_array = sum(newArray)
if sumArray == d:
number_diveded += 1
return numberDiveded
s = '2 5 1 3 4 4 3 5 1 1 2 1 4 1 3 3 4 2 1'
caracteres = '18 7'
array = list(map(int, s.split()))
caracteres_list = list(map(int, caracteres.split()))
print(birthday(array, caracteresList[0], caracteresList[1])) |
N = int(input())
entry = [input().split() for _ in range(N)]
phoneBook = {name: number for name, number in entry}
while True:
try:
name = input()
if name in phoneBook:
print(f"{name}={phoneBook[name]}")
else:
print("Not found")
except:
break
| n = int(input())
entry = [input().split() for _ in range(N)]
phone_book = {name: number for (name, number) in entry}
while True:
try:
name = input()
if name in phoneBook:
print(f'{name}={phoneBook[name]}')
else:
print('Not found')
except:
break |
pet = {
"name":"Doggo",
"animal":"dog",
"species":"labrador",
"age":"5"
}
class Pet(object):
def __init__(self, name, age, animal):
self.name = name
self.age = age
self.animal = animal
self.hungry = False
self.mood= "happy"
def eat(self):
print("> %s is eating..." % self.name)
if self.is_hungry:
self.is_hungry = False
else:
print("> %s may have eaten too much." % self.name)
self.mood = "lethargic "
my_pet= Pet("Fido", 3, "dog")
my_pet.is_hungry= True
print("is my pet hungry? %s"% my_pet.is_hungry)
my_pet.eat()
print("how about now? %s" % my_pet.is_hungry)
print ("My pet is feeling %s" % my_pet.mood)
| pet = {'name': 'Doggo', 'animal': 'dog', 'species': 'labrador', 'age': '5'}
class Pet(object):
def __init__(self, name, age, animal):
self.name = name
self.age = age
self.animal = animal
self.hungry = False
self.mood = 'happy'
def eat(self):
print('> %s is eating...' % self.name)
if self.is_hungry:
self.is_hungry = False
else:
print('> %s may have eaten too much.' % self.name)
self.mood = 'lethargic '
my_pet = pet('Fido', 3, 'dog')
my_pet.is_hungry = True
print('is my pet hungry? %s' % my_pet.is_hungry)
my_pet.eat()
print('how about now? %s' % my_pet.is_hungry)
print('My pet is feeling %s' % my_pet.mood) |
# Definition for binary tree with next pointer.
class TreeLinkNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
self.next = None
class Solution:
# @param root, a tree link node
# @return nothing
def connect(self, root):
node = root
current = None
candidate = None
next_start = None
if node is None:
return
while node is not None:
# loop through nodes in this level, assigning nexts
# assumption: previous level (node's level)
# has all nexts assigned correctly
# assign left's next to right if applicable
if node.left is not None:
# tells loop where to start for next level
if next_start is None:
next_start = node.left
if node.right is not None:
node.left.next = node.right
current = node.right
else:
current = node.left
else:
if node.right is not None:
if next_start is None:
next_start = node.right
current = node.right
else:
node = node.next
continue
while candidate is None:
node = node.next
if node is None:
break
if node.left is None:
if node.right is None:
continue
else:
candidate = node.right
else:
candidate = node.left
current.next = candidate
candidate = None
# end of inner loop, through nodes in a level
if node is None:
node = next_start
next_start = None
| class Treelinknode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
self.next = None
class Solution:
def connect(self, root):
node = root
current = None
candidate = None
next_start = None
if node is None:
return
while node is not None:
if node.left is not None:
if next_start is None:
next_start = node.left
if node.right is not None:
node.left.next = node.right
current = node.right
else:
current = node.left
elif node.right is not None:
if next_start is None:
next_start = node.right
current = node.right
else:
node = node.next
continue
while candidate is None:
node = node.next
if node is None:
break
if node.left is None:
if node.right is None:
continue
else:
candidate = node.right
else:
candidate = node.left
current.next = candidate
candidate = None
if node is None:
node = next_start
next_start = None |
# AUTOGENERATED BY NBDEV! DO NOT EDIT!
__all__ = ["index", "modules", "custom_doc_links", "git_url"]
index = {"get_device": "00_basics.ipynb",
"settings_template": "00_basics.ipynb",
"read_settings": "00_basics.ipynb",
"DEVICE": "00_basics.ipynb",
"settings": "00_basics.ipynb",
"DATA_STORE": "00_basics.ipynb",
"LOG_STORE": "00_basics.ipynb",
"MODEL_STORE": "00_basics.ipynb",
"EXPERIMENT_STORE": "00_basics.ipynb",
"PATH_1K": "00_basics.ipynb",
"PATH_10K": "00_basics.ipynb",
"PATH_20K": "00_basics.ipynb",
"PATH_100K": "00_basics.ipynb",
"FILENAMES": "00_basics.ipynb",
"SYNTHEA_DATAGEN_DATES": "00_basics.ipynb",
"CONDITIONS": "00_basics.ipynb",
"LOG_NUMERICALIZE_EXCEP": "00_basics.ipynb",
"read_raw_ehrdata": "01_preprocessing_clean.ipynb",
"split_patients": "01_preprocessing_clean.ipynb",
"split_ehr_dataset": "01_preprocessing_clean.ipynb",
"cleanup_pts": "01_preprocessing_clean.ipynb",
"cleanup_obs": "01_preprocessing_clean.ipynb",
"cleanup_algs": "01_preprocessing_clean.ipynb",
"cleanup_crpls": "01_preprocessing_clean.ipynb",
"cleanup_meds": "01_preprocessing_clean.ipynb",
"cleanup_img": "01_preprocessing_clean.ipynb",
"cleanup_procs": "01_preprocessing_clean.ipynb",
"cleanup_cnds": "01_preprocessing_clean.ipynb",
"cleanup_immns": "01_preprocessing_clean.ipynb",
"cleanup_dataset": "01_preprocessing_clean.ipynb",
"extract_ys": "01_preprocessing_clean.ipynb",
"insert_age": "01_preprocessing_clean.ipynb",
"clean_raw_ehrdata": "01_preprocessing_clean.ipynb",
"load_cleaned_ehrdata": "01_preprocessing_clean.ipynb",
"load_ehr_vocabcodes": "01_preprocessing_clean.ipynb",
"EhrVocab": "02_preprocessing_vocab.ipynb",
"ObsVocab": "02_preprocessing_vocab.ipynb",
"EhrVocabList": "02_preprocessing_vocab.ipynb",
"get_all_emb_dims": "02_preprocessing_vocab.ipynb",
"collate_codes_offsts": "03_preprocessing_transform.ipynb",
"get_codenums_offsts": "03_preprocessing_transform.ipynb",
"get_demographics": "03_preprocessing_transform.ipynb",
"Patient": "03_preprocessing_transform.ipynb",
"get_pckl_dir": "03_preprocessing_transform.ipynb",
"PatientList": "03_preprocessing_transform.ipynb",
"cpu_cnt": "03_preprocessing_transform.ipynb",
"create_all_ptlists": "03_preprocessing_transform.ipynb",
"preprocess_ehr_dataset": "03_preprocessing_transform.ipynb",
"EHRDataSplits": "04_data.ipynb",
"LabelEHRData": "04_data.ipynb",
"EHRDataset": "04_data.ipynb",
"EHRData": "04_data.ipynb",
"accuracy": "05_metrics.ipynb",
"null_accuracy": "05_metrics.ipynb",
"ROC": "05_metrics.ipynb",
"MultiLabelROC": "05_metrics.ipynb",
"plot_rocs": "05_metrics.ipynb",
"plot_train_valid_rocs": "05_metrics.ipynb",
"auroc_score": "05_metrics.ipynb",
"auroc_ci": "05_metrics.ipynb",
"save_to_checkpoint": "06_learn.ipynb",
"load_from_checkpoint": "06_learn.ipynb",
"get_loss_fn": "06_learn.ipynb",
"RunHistory": "06_learn.ipynb",
"train": "06_learn.ipynb",
"evaluate": "06_learn.ipynb",
"fit": "06_learn.ipynb",
"predict": "06_learn.ipynb",
"plot_loss": "06_learn.ipynb",
"plot_losses": "06_learn.ipynb",
"plot_aurocs": "06_learn.ipynb",
"plot_train_valid_aurocs": "06_learn.ipynb",
"plot_fit_results": "06_learn.ipynb",
"summarize_prediction": "06_learn.ipynb",
"count_parameters": "06_learn.ipynb",
"dropout_mask": "07_models.ipynb",
"InputDropout": "07_models.ipynb",
"linear_layer": "07_models.ipynb",
"create_linear_layers": "07_models.ipynb",
"init_lstm": "07_models.ipynb",
"EHR_LSTM": "07_models.ipynb",
"init_cnn": "07_models.ipynb",
"conv_layer": "07_models.ipynb",
"EHR_CNN": "07_models.ipynb",
"get_data": "08_experiment.ipynb",
"get_optimizer": "08_experiment.ipynb",
"get_model": "08_experiment.ipynb",
"Experiment": "08_experiment.ipynb"}
modules = ["basics.py",
"preprocessing/clean.py",
"preprocessing/vocab.py",
"preprocessing/transform.py",
"data.py",
"metrics.py",
"learn.py",
"models.py",
"experiment.py"]
doc_url = "https://corazonlabs.github.io/lemonpie/"
git_url = "https://github.com/corazonlabs/lemonpie/tree/main/"
def custom_doc_links(name): return None
| __all__ = ['index', 'modules', 'custom_doc_links', 'git_url']
index = {'get_device': '00_basics.ipynb', 'settings_template': '00_basics.ipynb', 'read_settings': '00_basics.ipynb', 'DEVICE': '00_basics.ipynb', 'settings': '00_basics.ipynb', 'DATA_STORE': '00_basics.ipynb', 'LOG_STORE': '00_basics.ipynb', 'MODEL_STORE': '00_basics.ipynb', 'EXPERIMENT_STORE': '00_basics.ipynb', 'PATH_1K': '00_basics.ipynb', 'PATH_10K': '00_basics.ipynb', 'PATH_20K': '00_basics.ipynb', 'PATH_100K': '00_basics.ipynb', 'FILENAMES': '00_basics.ipynb', 'SYNTHEA_DATAGEN_DATES': '00_basics.ipynb', 'CONDITIONS': '00_basics.ipynb', 'LOG_NUMERICALIZE_EXCEP': '00_basics.ipynb', 'read_raw_ehrdata': '01_preprocessing_clean.ipynb', 'split_patients': '01_preprocessing_clean.ipynb', 'split_ehr_dataset': '01_preprocessing_clean.ipynb', 'cleanup_pts': '01_preprocessing_clean.ipynb', 'cleanup_obs': '01_preprocessing_clean.ipynb', 'cleanup_algs': '01_preprocessing_clean.ipynb', 'cleanup_crpls': '01_preprocessing_clean.ipynb', 'cleanup_meds': '01_preprocessing_clean.ipynb', 'cleanup_img': '01_preprocessing_clean.ipynb', 'cleanup_procs': '01_preprocessing_clean.ipynb', 'cleanup_cnds': '01_preprocessing_clean.ipynb', 'cleanup_immns': '01_preprocessing_clean.ipynb', 'cleanup_dataset': '01_preprocessing_clean.ipynb', 'extract_ys': '01_preprocessing_clean.ipynb', 'insert_age': '01_preprocessing_clean.ipynb', 'clean_raw_ehrdata': '01_preprocessing_clean.ipynb', 'load_cleaned_ehrdata': '01_preprocessing_clean.ipynb', 'load_ehr_vocabcodes': '01_preprocessing_clean.ipynb', 'EhrVocab': '02_preprocessing_vocab.ipynb', 'ObsVocab': '02_preprocessing_vocab.ipynb', 'EhrVocabList': '02_preprocessing_vocab.ipynb', 'get_all_emb_dims': '02_preprocessing_vocab.ipynb', 'collate_codes_offsts': '03_preprocessing_transform.ipynb', 'get_codenums_offsts': '03_preprocessing_transform.ipynb', 'get_demographics': '03_preprocessing_transform.ipynb', 'Patient': '03_preprocessing_transform.ipynb', 'get_pckl_dir': '03_preprocessing_transform.ipynb', 'PatientList': '03_preprocessing_transform.ipynb', 'cpu_cnt': '03_preprocessing_transform.ipynb', 'create_all_ptlists': '03_preprocessing_transform.ipynb', 'preprocess_ehr_dataset': '03_preprocessing_transform.ipynb', 'EHRDataSplits': '04_data.ipynb', 'LabelEHRData': '04_data.ipynb', 'EHRDataset': '04_data.ipynb', 'EHRData': '04_data.ipynb', 'accuracy': '05_metrics.ipynb', 'null_accuracy': '05_metrics.ipynb', 'ROC': '05_metrics.ipynb', 'MultiLabelROC': '05_metrics.ipynb', 'plot_rocs': '05_metrics.ipynb', 'plot_train_valid_rocs': '05_metrics.ipynb', 'auroc_score': '05_metrics.ipynb', 'auroc_ci': '05_metrics.ipynb', 'save_to_checkpoint': '06_learn.ipynb', 'load_from_checkpoint': '06_learn.ipynb', 'get_loss_fn': '06_learn.ipynb', 'RunHistory': '06_learn.ipynb', 'train': '06_learn.ipynb', 'evaluate': '06_learn.ipynb', 'fit': '06_learn.ipynb', 'predict': '06_learn.ipynb', 'plot_loss': '06_learn.ipynb', 'plot_losses': '06_learn.ipynb', 'plot_aurocs': '06_learn.ipynb', 'plot_train_valid_aurocs': '06_learn.ipynb', 'plot_fit_results': '06_learn.ipynb', 'summarize_prediction': '06_learn.ipynb', 'count_parameters': '06_learn.ipynb', 'dropout_mask': '07_models.ipynb', 'InputDropout': '07_models.ipynb', 'linear_layer': '07_models.ipynb', 'create_linear_layers': '07_models.ipynb', 'init_lstm': '07_models.ipynb', 'EHR_LSTM': '07_models.ipynb', 'init_cnn': '07_models.ipynb', 'conv_layer': '07_models.ipynb', 'EHR_CNN': '07_models.ipynb', 'get_data': '08_experiment.ipynb', 'get_optimizer': '08_experiment.ipynb', 'get_model': '08_experiment.ipynb', 'Experiment': '08_experiment.ipynb'}
modules = ['basics.py', 'preprocessing/clean.py', 'preprocessing/vocab.py', 'preprocessing/transform.py', 'data.py', 'metrics.py', 'learn.py', 'models.py', 'experiment.py']
doc_url = 'https://corazonlabs.github.io/lemonpie/'
git_url = 'https://github.com/corazonlabs/lemonpie/tree/main/'
def custom_doc_links(name):
return None |
# Define a procedure, fibonacci, that takes a natural number as its input, and
# returns the value of that fibonacci number.
# Two Base Cases:
# fibonacci(0) => 0
# fibonacci(1) => 1
# Recursive Case:
# n > 1 : fibonacci(n) => fibonacci(n-1) + fibonacci(n-2)
def fibonacci(n):
return n if n == 0 or n == 1 else fibonacci(n-1) + fibonacci(n-2)
print (fibonacci(0))
#>>> 0
print (fibonacci(1))
#>>> 1
print (fibonacci(15))
#>>> 610 | def fibonacci(n):
return n if n == 0 or n == 1 else fibonacci(n - 1) + fibonacci(n - 2)
print(fibonacci(0))
print(fibonacci(1))
print(fibonacci(15)) |
errorFound = False
def hasError():
global errorFound
return errorFound
def clearError():
global errorFound
errorFound = False
def error(message, lineNo = 0):
report(lineNo, "", message)
def report(lineNo, where, message):
global errorFound
errorFound = True
if lineNo == 0:
print("Error {1}: {2}".format(lineNo, where, message))
else:
print("[Line {0}] Error {1}: {2}".format(lineNo, where, message)) | error_found = False
def has_error():
global errorFound
return errorFound
def clear_error():
global errorFound
error_found = False
def error(message, lineNo=0):
report(lineNo, '', message)
def report(lineNo, where, message):
global errorFound
error_found = True
if lineNo == 0:
print('Error {1}: {2}'.format(lineNo, where, message))
else:
print('[Line {0}] Error {1}: {2}'.format(lineNo, where, message)) |
class AnythingType(set):
def __contains__(self, other):
return True
def intersection(self, other):
return other
def union(self, other):
return self
def __str__(self):
return '*'
def __repr__(self):
return "Anything"
Anything = AnythingType()
| class Anythingtype(set):
def __contains__(self, other):
return True
def intersection(self, other):
return other
def union(self, other):
return self
def __str__(self):
return '*'
def __repr__(self):
return 'Anything'
anything = anything_type() |
allct_dat = {
"TYR": { "HB2":{'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'},
"HB3":{'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'},
"impropTors":[['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O']],
"INTX,KFORM":['INT', '1'],
"HD2":{'torsion': 180.0, 'tree': 'E', 'NC': 16, 'NB': 19, 'NA': 21, 'I': 22, 'angle': 120.0, 'blen': 1.09, 'charge': 0.064, 'type': 'HC'},
"IFIXC,IOMIT,ISYMDU,IPOS":['CORR', 'OMIT', 'DU', 'BEG'],
"OH":{'torsion': 180.0, 'tree': 'S', 'NC': 12, 'NB': 14, 'NA': 16, 'I': 17, 'angle': 120.0, 'blen': 1.36, 'charge': -0.528, 'type': 'OH'},
"HD1":{'torsion': 0.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 12, 'I': 13, 'angle': 120.0, 'blen': 1.09, 'charge': 0.064, 'type': 'HC'},
"HE1":{'torsion': 180.0, 'tree': 'E', 'NC': 11, 'NB': 12, 'NA': 14, 'I': 15, 'angle': 120.0, 'blen': 1.09, 'charge': 0.102, 'type': 'HC'},
"HE2":{'torsion': 180.0, 'tree': 'E', 'NC': 14, 'NB': 16, 'NA': 19, 'I': 20, 'angle': 120.0, 'blen': 1.09, 'charge': 0.102, 'type': 'HC'},
"CD2":{'torsion': 0.0, 'tree': 'S', 'NC': 14, 'NB': 16, 'NA': 19, 'I': 21, 'angle': 120.0, 'blen': 1.4, 'charge': -0.002, 'type': 'CA'},
"NAMRES":'TYROSINE COO- ANION',
"CD1":{'torsion': 180.0, 'tree': 'B', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 120.0, 'blen': 1.4, 'charge': -0.002, 'type': 'CA'},
"atNameList":['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'CD1', 'HD1', 'CE1', 'HE1', 'CZ', 'OH', 'HH', 'CE2', 'HE2', 'CD2', 'HD2', 'C', 'O', 'OXT'],
"DUMM":[['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']],
"CE1":{'torsion': 180.0, 'tree': 'B', 'NC': 8, 'NB': 11, 'NA': 12, 'I': 14, 'angle': 120.0, 'blen': 1.4, 'charge': -0.264, 'type': 'CA'},
"CE2":{'torsion': 0.0, 'tree': 'B', 'NC': 12, 'NB': 14, 'NA': 16, 'I': 19, 'angle': 120.0, 'blen': 1.4, 'charge': -0.264, 'type': 'CA'},
"HA":{'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'},
"HH":{'torsion': 0.0, 'tree': 'E', 'NC': 14, 'NB': 16, 'NA': 17, 'I': 18, 'angle': 113.0, 'blen': 0.96, 'charge': 0.334, 'type': 'HO'},
"CZ":{'torsion': 0.0, 'tree': 'B', 'NC': 11, 'NB': 12, 'NA': 14, 'I': 16, 'angle': 120.0, 'blen': 1.4, 'charge': 0.462, 'type': 'C'},
"H":{'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'},
"N":{'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'},
"O":{'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 23, 'I': 24, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"CG":{'torsion': 180.0, 'tree': 'S', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 109.47, 'blen': 1.51, 'charge': -0.03, 'type': 'CA'},
"CA":{'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'},
"CB":{'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.098, 'type': 'CT'},
"OXT":{'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 23, 'I': 25, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"loopList":[['CG', 'CD2']],
"CUT":['0.00000'],
"C":{'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 23, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'},
},
"ASN": { "HB2":{'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'},
"HB3":{'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'},
"atNameList":['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'OD1', 'ND2', 'HD21', 'HD22', 'C', 'O', 'OXT'],
"DUMM":[['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']],
"ND2":{'torsion': 180.0, 'tree': 'B', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 13, 'angle': 116.6, 'blen': 1.335, 'charge': -0.867, 'type': 'N'},
"O":{'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 16, 'I': 17, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"CB":{'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.086, 'type': 'CT'},
"impropTors":[['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O'], ['CB', 'ND2', 'CG', 'OD1'], ['CG', 'HD21', 'ND2', 'HD22']],
"HA":{'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'},
"N":{'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'},
"INTX,KFORM":['INT', '1'],
"CG":{'torsion': 180.0, 'tree': 'B', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 111.1, 'blen': 1.522, 'charge': 0.675, 'type': 'C'},
"CA":{'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'},
"H":{'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'},
"IFIXC,IOMIT,ISYMDU,IPOS":['CORR', 'OMIT', 'DU', 'BEG'],
"HD21":{'torsion': 180.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 13, 'I': 14, 'angle': 119.8, 'blen': 1.01, 'charge': 0.344, 'type': 'H'},
"OD1":{'torsion': 0.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 120.5, 'blen': 1.229, 'charge': -0.47, 'type': 'O'},
"HD22":{'torsion': 0.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 13, 'I': 15, 'angle': 119.8, 'blen': 1.01, 'charge': 0.344, 'type': 'H'},
"CUT":['0.00000'],
"C":{'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 16, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'},
"OXT":{'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 16, 'I': 18, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"NAMRES":'ASPARAGINE COO- ANION',
},
"CYS": { "HB2":{'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'},
"HB3":{'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'},
"atNameList":['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'SG', 'HSG', 'LP1', 'LP2', 'C', 'O', 'OXT'],
"DUMM":[['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']],
"SG":{'torsion': 180.0, 'tree': '3', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 116.0, 'blen': 1.81, 'charge': 0.827, 'type': 'SH'},
"LP1":{'torsion': 60.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 13, 'angle': 96.7, 'blen': 0.679, 'charge': -0.481, 'type': 'LP'},
"O":{'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 15, 'I': 16, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"CB":{'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.06, 'type': 'CT'},
"impropTors":[['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O']],
"HA":{'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'},
"N":{'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'},
"INTX,KFORM":['INT', '1'],
"LP2":{'torsion': 300.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 14, 'angle': 96.7, 'blen': 0.679, 'charge': -0.481, 'type': 'LP'},
"CA":{'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'},
"H":{'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'},
"IFIXC,IOMIT,ISYMDU,IPOS":['CORR', 'OMIT', 'DU', 'BEG'],
"HSG":{'torsion': 180.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 96.0, 'blen': 1.33, 'charge': 0.135, 'type': 'HS'},
"CUT":['0.00000'],
"C":{'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 15, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'},
"OXT":{'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 15, 'I': 17, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"NAMRES":'CYSTEINE COO- ANION',
},
"ARG": { "HB2":{'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.056, 'type': 'HC'},
"HB3":{'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.056, 'type': 'HC'},
"impropTors":[['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O'], ['NE', 'NH1', 'CZ', 'NH2'], ['CD', 'CZ', 'NE', 'HE'], ['CZ', 'HH12', 'NH1', 'HH11'], ['CZ', 'HH22', 'NH2', 'HH21']],
"HH11":{'torsion': 0.0, 'tree': 'E', 'NC': 17, 'NB': 19, 'NA': 20, 'I': 21, 'angle': 119.8, 'blen': 1.01, 'charge': 0.361, 'type': 'H3'},
"HH12":{'torsion': 180.0, 'tree': 'E', 'NC': 17, 'NB': 19, 'NA': 20, 'I': 22, 'angle': 119.8, 'blen': 1.01, 'charge': 0.361, 'type': 'H3'},
"HH21":{'torsion': 0.0, 'tree': 'E', 'NC': 17, 'NB': 19, 'NA': 23, 'I': 24, 'angle': 119.8, 'blen': 1.01, 'charge': 0.361, 'type': 'H3'},
"HH22":{'torsion': 180.0, 'tree': 'E', 'NC': 17, 'NB': 19, 'NA': 23, 'I': 25, 'angle': 119.8, 'blen': 1.01, 'charge': 0.361, 'type': 'H3'},
"INTX,KFORM":['INT', '1'],
"NE":{'torsion': 180.0, 'tree': 'B', 'NC': 8, 'NB': 11, 'NA': 14, 'I': 17, 'angle': 111.0, 'blen': 1.48, 'charge': -0.324, 'type': 'N2'},
"HG2":{'torsion': 300.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 109.5, 'blen': 1.09, 'charge': 0.074, 'type': 'HC'},
"N":{'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'},
"IFIXC,IOMIT,ISYMDU,IPOS":['CORR', 'OMIT', 'DU', 'BEG'],
"HD2":{'torsion': 300.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 14, 'I': 15, 'angle': 109.5, 'blen': 1.09, 'charge': 0.133, 'type': 'HC'},
"HD3":{'torsion': 60.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 14, 'I': 16, 'angle': 109.5, 'blen': 1.09, 'charge': 0.133, 'type': 'HC'},
"NAMRES":'ARGININE COO- ANION',
"HE":{'torsion': 0.0, 'tree': 'E', 'NC': 11, 'NB': 14, 'NA': 17, 'I': 18, 'angle': 118.5, 'blen': 1.01, 'charge': 0.269, 'type': 'H3'},
"atNameList":['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'HG2', 'HG3', 'CD', 'HD2', 'HD3', 'NE', 'HE', 'CZ', 'NH1', 'HH11', 'HH12', 'NH2', 'HH21', 'HH22', 'C', 'O', 'OXT'],
"DUMM":[['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']],
"NH2":{'torsion': 180.0, 'tree': 'B', 'NC': 14, 'NB': 17, 'NA': 19, 'I': 23, 'angle': 118.0, 'blen': 1.33, 'charge': -0.624, 'type': 'N2'},
"HG3":{'torsion': 60.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 13, 'angle': 109.5, 'blen': 1.09, 'charge': 0.074, 'type': 'HC'},
"NH1":{'torsion': 0.0, 'tree': 'B', 'NC': 14, 'NB': 17, 'NA': 19, 'I': 20, 'angle': 122.0, 'blen': 1.33, 'charge': -0.624, 'type': 'N2'},
"HA":{'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'},
"CZ":{'torsion': 180.0, 'tree': 'B', 'NC': 11, 'NB': 14, 'NA': 17, 'I': 19, 'angle': 123.0, 'blen': 1.33, 'charge': 0.76, 'type': 'CA'},
"H":{'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'},
"CD":{'torsion': 180.0, 'tree': '3', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 14, 'angle': 109.47, 'blen': 1.525, 'charge': -0.228, 'type': 'CT'},
"O":{'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 26, 'I': 27, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"CG":{'torsion': 180.0, 'tree': '3', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 109.47, 'blen': 1.525, 'charge': -0.103, 'type': 'CT'},
"CA":{'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'},
"CB":{'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.08, 'type': 'CT'},
"OXT":{'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 26, 'I': 28, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"CUT":['0.00000'],
"C":{'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 26, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'},
},
"LEU": { "HB2":{'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.033, 'type': 'HC'},
"HB3":{'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.033, 'type': 'HC'},
"impropTors":[['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O']],
"INTX,KFORM":['INT', '1'],
"IFIXC,IOMIT,ISYMDU,IPOS":['CORR', 'OMIT', 'DU', 'BEG'],
"NAMRES":'LEUCINE COO- ANION',
"HG":{'torsion': 300.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 109.5, 'blen': 1.09, 'charge': 0.031, 'type': 'HC'},
"atNameList":['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'HG', 'CD1', 'HD11', 'HD12', 'HD13', 'CD2', 'HD21', 'HD22', 'HD23', 'C', 'O', 'OXT'],
"DUMM":[['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']],
"HD11":{'torsion': 60.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 13, 'I': 14, 'angle': 109.5, 'blen': 1.09, 'charge': 0.034, 'type': 'HC'},
"HD12":{'torsion': 180.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 13, 'I': 15, 'angle': 109.5, 'blen': 1.09, 'charge': 0.034, 'type': 'HC'},
"HD13":{'torsion': 300.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 13, 'I': 16, 'angle': 109.5, 'blen': 1.09, 'charge': 0.034, 'type': 'HC'},
"CD2":{'torsion': 180.0, 'tree': '3', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 17, 'angle': 109.47, 'blen': 1.525, 'charge': -0.107, 'type': 'CT'},
"CD1":{'torsion': 60.0, 'tree': '3', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 13, 'angle': 109.47, 'blen': 1.525, 'charge': -0.107, 'type': 'CT'},
"HA":{'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'},
"H":{'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'},
"N":{'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'},
"O":{'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 21, 'I': 22, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"CG":{'torsion': 180.0, 'tree': '3', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 109.47, 'blen': 1.525, 'charge': -0.01, 'type': 'CT'},
"CA":{'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'},
"CB":{'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.061, 'type': 'CT'},
"OXT":{'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 21, 'I': 23, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"HD21":{'torsion': 60.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 17, 'I': 18, 'angle': 109.5, 'blen': 1.09, 'charge': 0.034, 'type': 'HC'},
"HD23":{'torsion': 300.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 17, 'I': 20, 'angle': 109.5, 'blen': 1.09, 'charge': 0.034, 'type': 'HC'},
"HD22":{'torsion': 180.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 17, 'I': 19, 'angle': 109.5, 'blen': 1.09, 'charge': 0.034, 'type': 'HC'},
"CUT":['0.00000'],
"C":{'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 21, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'},
},
"HID": { "HB2":{'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'},
"HB3":{'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'},
"NE2":{'torsion': 0.0, 'tree': 'S', 'NC': 11, 'NB': 12, 'NA': 14, 'I': 16, 'angle': 109.0, 'blen': 1.31, 'charge': -0.502, 'type': 'NB'},
"ND1":{'torsion': 180.0, 'tree': 'B', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 122.0, 'blen': 1.39, 'charge': -0.146, 'type': 'NA'},
"impropTors":[['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O'], ['CG', 'CE1', 'ND1', 'HD1']],
"CE1":{'torsion': 180.0, 'tree': 'B', 'NC': 8, 'NB': 11, 'NA': 12, 'I': 14, 'angle': 108.0, 'blen': 1.32, 'charge': 0.241, 'type': 'CR'},
"INTX,KFORM":['INT', '1'],
"IFIXC,IOMIT,ISYMDU,IPOS":['CORR', 'OMIT', 'DU', 'BEG'],
"HD1":{'torsion': 0.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 12, 'I': 13, 'angle': 126.0, 'blen': 1.01, 'charge': 0.228, 'type': 'H'},
"NAMRES":'HISTIDINE DELTAH COO- ANION',
"HE":{'torsion': 180.0, 'tree': 'E', 'NC': 11, 'NB': 12, 'NA': 14, 'I': 15, 'angle': 120.0, 'blen': 1.09, 'charge': 0.036, 'type': 'HC'},
"HD":{'torsion': 180.0, 'tree': 'E', 'NC': 14, 'NB': 16, 'NA': 17, 'I': 18, 'angle': 120.0, 'blen': 1.09, 'charge': 0.018, 'type': 'HC'},
"atNameList":['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'ND1', 'HD1', 'CE1', 'HE', 'NE2', 'CD2', 'HD', 'C', 'O', 'OXT'],
"DUMM":[['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']],
"CD2":{'torsion': 0.0, 'tree': 'S', 'NC': 12, 'NB': 14, 'NA': 16, 'I': 17, 'angle': 110.0, 'blen': 1.36, 'charge': 0.195, 'type': 'CV'},
"HA":{'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'},
"H":{'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'},
"N":{'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'},
"O":{'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 19, 'I': 20, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"CG":{'torsion': 180.0, 'tree': 'S', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 115.0, 'blen': 1.51, 'charge': -0.032, 'type': 'CC'},
"CA":{'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'},
"CB":{'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.098, 'type': 'CT'},
"OXT":{'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 19, 'I': 21, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"loopList":[['CG', 'CD2']],
"CUT":['0.00000'],
"C":{'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 19, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'},
},
"HIE": { "HB2":{'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'},
"HB3":{'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'},
"NE2":{'torsion': 0.0, 'tree': 'B', 'NC': 11, 'NB': 12, 'NA': 13, 'I': 15, 'angle': 109.0, 'blen': 1.31, 'charge': -0.146, 'type': 'NA'},
"ND1":{'torsion': 180.0, 'tree': 'S', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 122.0, 'blen': 1.39, 'charge': -0.502, 'type': 'NB'},
"impropTors":[['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O'], ['CE1', 'CD2', 'NE2', 'HE2']],
"CE1":{'torsion': 180.0, 'tree': 'B', 'NC': 8, 'NB': 11, 'NA': 12, 'I': 13, 'angle': 108.0, 'blen': 1.32, 'charge': 0.241, 'type': 'CR'},
"INTX,KFORM":['INT', '1'],
"IFIXC,IOMIT,ISYMDU,IPOS":['CORR', 'OMIT', 'DU', 'BEG'],
"HE2":{'torsion': 180.0, 'tree': 'E', 'NC': 12, 'NB': 13, 'NA': 15, 'I': 16, 'angle': 125.0, 'blen': 1.01, 'charge': 0.228, 'type': 'H'},
"NAMRES":'HISTIDINE EPSILON-H COO- ANION',
"HE":{'torsion': 180.0, 'tree': 'E', 'NC': 11, 'NB': 12, 'NA': 13, 'I': 14, 'angle': 120.0, 'blen': 1.09, 'charge': 0.036, 'type': 'HC'},
"HD":{'torsion': 180.0, 'tree': 'E', 'NC': 13, 'NB': 15, 'NA': 17, 'I': 18, 'angle': 120.0, 'blen': 1.09, 'charge': 0.114, 'type': 'HC'},
"atNameList":['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'ND1', 'CE1', 'HE', 'NE2', 'HE2', 'CD2', 'HD', 'C', 'O', 'OXT'],
"DUMM":[['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']],
"CD2":{'torsion': 0.0, 'tree': 'S', 'NC': 12, 'NB': 13, 'NA': 15, 'I': 17, 'angle': 110.0, 'blen': 1.36, 'charge': -0.184, 'type': 'CW'},
"HA":{'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'},
"H":{'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'},
"N":{'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'},
"O":{'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 19, 'I': 20, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"CG":{'torsion': 180.0, 'tree': 'S', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 115.0, 'blen': 1.51, 'charge': 0.251, 'type': 'CC'},
"CA":{'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'},
"CB":{'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.098, 'type': 'CT'},
"OXT":{'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 19, 'I': 21, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"loopList":[['CG', 'CD2']],
"CUT":['0.00000'],
"C":{'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 19, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'},
},
"MET": { "HB2":{'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.027, 'type': 'HC'},
"HB3":{'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.027, 'type': 'HC'},
"O":{'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 21, 'I': 22, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"impropTors":[['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O']],
"SD":{'torsion': 180.0, 'tree': '3', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 14, 'angle': 110.0, 'blen': 1.81, 'charge': 0.737, 'type': 'S'},
"LP1":{'torsion': 60.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 14, 'I': 15, 'angle': 96.7, 'blen': 0.679, 'charge': -0.381, 'type': 'LP'},
"HG3":{'torsion': 60.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 13, 'angle': 109.5, 'blen': 1.09, 'charge': 0.0652, 'type': 'HC'},
"HG2":{'torsion': 300.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 109.5, 'blen': 1.09, 'charge': 0.0652, 'type': 'HC'},
"INTX,KFORM":['INT', '1'],
"IFIXC,IOMIT,ISYMDU,IPOS":['CORR', 'OMIT', 'DU', 'BEG'],
"HE3":{'torsion': 300.0, 'tree': 'E', 'NC': 11, 'NB': 14, 'NA': 17, 'I': 20, 'angle': 109.5, 'blen': 1.09, 'charge': 0.0652, 'type': 'HC'},
"HE2":{'torsion': 180.0, 'tree': 'E', 'NC': 11, 'NB': 14, 'NA': 17, 'I': 19, 'angle': 109.5, 'blen': 1.09, 'charge': 0.0652, 'type': 'HC'},
"HE1":{'torsion': 60.0, 'tree': 'E', 'NC': 11, 'NB': 14, 'NA': 17, 'I': 18, 'angle': 109.5, 'blen': 1.09, 'charge': 0.0652, 'type': 'HC'},
"NAMRES":'METHIONINE COO- ANION',
"atNameList":['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'HG2', 'HG3', 'SD', 'LP1', 'LP2', 'CE', 'HE1', 'HE2', 'HE3', 'C', 'O', 'OXT'],
"DUMM":[['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']],
"HA":{'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'},
"H":{'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'},
"N":{'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'},
"CE":{'torsion': 180.0, 'tree': '3', 'NC': 8, 'NB': 11, 'NA': 14, 'I': 17, 'angle': 100.0, 'blen': 1.78, 'charge': -0.134, 'type': 'CT'},
"CG":{'torsion': 180.0, 'tree': '3', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 109.47, 'blen': 1.525, 'charge': -0.054, 'type': 'CT'},
"CA":{'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'},
"CB":{'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.151, 'type': 'CT'},
"OXT":{'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 21, 'I': 23, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"LP2":{'torsion': 300.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 14, 'I': 16, 'angle': 96.7, 'blen': 0.679, 'charge': -0.381, 'type': 'LP'},
"CUT":['0.00000'],
"C":{'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 21, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'},
},
"IDBGEN,IREST,ITYPF":['1', '1', '201'],
"ALA": { "HB2":{'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'},
"HB3":{'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'},
"atNameList":['N', 'H', 'CA', 'HA', 'CB', 'HB1', 'HB2', 'HB3', 'C', 'O', 'OXT'],
"DUMM":[['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']],
"HB1":{'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'},
"O":{'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 12, 'I': 13, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"CB":{'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.098, 'type': 'CT'},
"impropTors":[['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O']],
"HA":{'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'},
"N":{'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'},
"INTX,KFORM":['INT', '1'],
"CA":{'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'},
"H":{'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'},
"IFIXC,IOMIT,ISYMDU,IPOS":['CORR', 'OMIT', 'DU', 'BEG'],
"CUT":['0.00000'],
"C":{'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 12, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'},
"OXT":{'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 12, 'I': 14, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"NAMRES":'ALANINE COO- ANION',
},
"PHE": { "HB2":{'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'},
"HB3":{'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'},
"impropTors":[['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O']],
"INTX,KFORM":['INT', '1'],
"HD2":{'torsion': 180.0, 'tree': 'E', 'NC': 16, 'NB': 18, 'NA': 20, 'I': 21, 'angle': 120.0, 'blen': 1.09, 'charge': 0.058, 'type': 'HC'},
"IFIXC,IOMIT,ISYMDU,IPOS":['CORR', 'OMIT', 'DU', 'BEG'],
"HD1":{'torsion': 0.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 12, 'I': 13, 'angle': 120.0, 'blen': 1.09, 'charge': 0.058, 'type': 'HC'},
"HE1":{'torsion': 180.0, 'tree': 'E', 'NC': 11, 'NB': 12, 'NA': 14, 'I': 15, 'angle': 120.0, 'blen': 1.09, 'charge': 0.063, 'type': 'HC'},
"HE2":{'torsion': 180.0, 'tree': 'E', 'NC': 14, 'NB': 16, 'NA': 18, 'I': 19, 'angle': 120.0, 'blen': 1.09, 'charge': 0.063, 'type': 'HC'},
"CD2":{'torsion': 0.0, 'tree': 'S', 'NC': 14, 'NB': 16, 'NA': 18, 'I': 20, 'angle': 120.0, 'blen': 1.4, 'charge': -0.069, 'type': 'CA'},
"NAMRES":'PHENYLALANINE COO- ANION',
"CD1":{'torsion': 180.0, 'tree': 'B', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 120.0, 'blen': 1.4, 'charge': -0.069, 'type': 'CA'},
"atNameList":['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'CD1', 'HD1', 'CE1', 'HE1', 'CZ', 'HZ', 'CE2', 'HE2', 'CD2', 'HD2', 'C', 'O', 'OXT'],
"DUMM":[['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']],
"CE1":{'torsion': 180.0, 'tree': 'B', 'NC': 8, 'NB': 11, 'NA': 12, 'I': 14, 'angle': 120.0, 'blen': 1.4, 'charge': -0.059, 'type': 'CA'},
"CE2":{'torsion': 0.0, 'tree': 'B', 'NC': 12, 'NB': 14, 'NA': 16, 'I': 18, 'angle': 120.0, 'blen': 1.4, 'charge': -0.059, 'type': 'CA'},
"HA":{'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'},
"CZ":{'torsion': 0.0, 'tree': 'B', 'NC': 11, 'NB': 12, 'NA': 14, 'I': 16, 'angle': 120.0, 'blen': 1.4, 'charge': -0.065, 'type': 'CA'},
"H":{'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'},
"N":{'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'},
"O":{'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 22, 'I': 23, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"CG":{'torsion': 180.0, 'tree': 'S', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 115.0, 'blen': 1.51, 'charge': 0.055, 'type': 'CA'},
"CA":{'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'},
"CB":{'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.098, 'type': 'CT'},
"OXT":{'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 22, 'I': 24, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"loopList":[['CG', 'CD2']],
"CUT":['0.00000'],
"C":{'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 22, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'},
"HZ":{'torsion': 180.0, 'tree': 'E', 'NC': 12, 'NB': 14, 'NA': 16, 'I': 17, 'angle': 120.0, 'blen': 1.09, 'charge': 0.062, 'type': 'HC'},
},
"CYX": { "HB2":{'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.0495, 'type': 'HC'},
"HB3":{'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.0495, 'type': 'HC'},
"atNameList":['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'SG', 'LP1', 'LP2', 'C', 'O', 'OXT'],
"DUMM":[['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']],
"SG":{'torsion': 180.0, 'tree': 'B', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 116.0, 'blen': 1.81, 'charge': 0.824, 'type': 'S'},
"LP1":{'torsion': 60.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 96.7, 'blen': 0.679, 'charge': -0.4045, 'type': 'LP'},
"O":{'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 14, 'I': 15, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"CB":{'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.098, 'type': 'CT'},
"impropTors":[['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O']],
"HA":{'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'},
"N":{'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'},
"INTX,KFORM":['INT', '1'],
"LP2":{'torsion': 300.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 13, 'angle': 96.7, 'blen': 0.679, 'charge': -0.4045, 'type': 'LP'},
"CA":{'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'},
"H":{'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'},
"IFIXC,IOMIT,ISYMDU,IPOS":['CORR', 'OMIT', 'DU', 'BEG'],
"CUT":['0.00000'],
"C":{'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 14, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'},
"OXT":{'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 14, 'I': 16, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"NAMRES":'CYSTINE(S-S BRIDGE) COO- ANION',
},
"PRO": { "HB2":{'torsion': 136.3, 'tree': 'E', 'NC': 5, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 109.5, 'blen': 1.09, 'charge': 0.061, 'type': 'HC'},
"HB3":{'torsion': 256.3, 'tree': 'E', 'NC': 5, 'NB': 8, 'NA': 11, 'I': 13, 'angle': 109.5, 'blen': 1.09, 'charge': 0.061, 'type': 'HC'},
"impropTors":[['CA', 'OXT', 'C', 'O'], ['-M', 'CA', 'N', 'CD']],
"INTX,KFORM":['INT', '1'],
"HG3":{'torsion': 98.0, 'tree': 'E', 'NC': 4, 'NB': 5, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.063, 'type': 'HC'},
"HG2":{'torsion': 218.0, 'tree': 'E', 'NC': 4, 'NB': 5, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.063, 'type': 'HC'},
"CD":{'torsion': 356.1, 'tree': '3', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 126.1, 'blen': 1.458, 'charge': -0.012, 'type': 'CT'},
"IFIXC,IOMIT,ISYMDU,IPOS":['CORR', 'OMIT', 'DU', 'BEG'],
"loopList":[['CA', 'CB']],
"HD2":{'torsion': 80.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 5, 'I': 6, 'angle': 109.5, 'blen': 1.09, 'charge': 0.06, 'type': 'HC'},
"HD3":{'torsion': 320.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 5, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.06, 'type': 'HC'},
"NAMRES":'PROLINE COO- ANION',
"atNameList":['N', 'CD', 'HD2', 'HD3', 'CG', 'HG2', 'HG3', 'CB', 'HB2', 'HB3', 'CA', 'HA', 'C', 'O', 'OXT'],
"DUMM":[['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']],
"HA":{'torsion': 81.1, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 14, 'I': 15, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'},
"N":{'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 117.0, 'blen': 1.337, 'charge': -0.229, 'type': 'N'},
"O":{'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 14, 'NA': 16, 'I': 17, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"CG":{'torsion': 200.1, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 5, 'I': 8, 'angle': 103.2, 'blen': 1.5, 'charge': -0.121, 'type': 'CT'},
"CA":{'torsion': 175.2, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 14, 'angle': 120.6, 'blen': 1.451, 'charge': 0.035, 'type': 'CT'},
"CB":{'torsion': 338.3, 'tree': 'B', 'NC': 4, 'NB': 5, 'NA': 8, 'I': 11, 'angle': 106.0, 'blen': 1.51, 'charge': -0.115, 'type': 'CT'},
"OXT":{'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 14, 'NA': 16, 'I': 18, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"CUT":['0.00000'],
"C":{'torsion': 0.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 14, 'I': 16, 'angle': 111.1, 'blen': 1.522, 'charge': 0.438, 'type': 'C'},
},
"LYS": { "HB2":{'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'},
"HB3":{'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'},
"HZ2":{'torsion': 180.0, 'tree': 'E', 'NC': 14, 'NB': 17, 'NA': 20, 'I': 22, 'angle': 109.47, 'blen': 1.01, 'charge': 0.294, 'type': 'H3'},
"HZ3":{'torsion': 300.0, 'tree': 'E', 'NC': 14, 'NB': 17, 'NA': 20, 'I': 23, 'angle': 109.47, 'blen': 1.01, 'charge': 0.294, 'type': 'H3'},
"impropTors":[['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O']],
"HZ1":{'torsion': 60.0, 'tree': 'E', 'NC': 14, 'NB': 17, 'NA': 20, 'I': 21, 'angle': 109.47, 'blen': 1.01, 'charge': 0.294, 'type': 'H3'},
"NZ":{'torsion': 180.0, 'tree': '3', 'NC': 11, 'NB': 14, 'NA': 17, 'I': 20, 'angle': 109.47, 'blen': 1.47, 'charge': -0.138, 'type': 'N3'},
"O":{'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 24, 'I': 25, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"INTX,KFORM":['INT', '1'],
"HG3":{'torsion': 60.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 13, 'angle': 109.5, 'blen': 1.09, 'charge': 0.116, 'type': 'HC'},
"HG2":{'torsion': 300.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 109.5, 'blen': 1.09, 'charge': 0.116, 'type': 'HC'},
"N":{'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'},
"IFIXC,IOMIT,ISYMDU,IPOS":['CORR', 'OMIT', 'DU', 'BEG'],
"HE3":{'torsion': 60.0, 'tree': 'E', 'NC': 11, 'NB': 14, 'NA': 17, 'I': 19, 'angle': 109.5, 'blen': 1.09, 'charge': 0.098, 'type': 'HC'},
"HE2":{'torsion': 300.0, 'tree': 'E', 'NC': 11, 'NB': 14, 'NA': 17, 'I': 18, 'angle': 109.5, 'blen': 1.09, 'charge': 0.098, 'type': 'HC'},
"HD2":{'torsion': 300.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 14, 'I': 15, 'angle': 109.5, 'blen': 1.09, 'charge': 0.122, 'type': 'HC'},
"HD3":{'torsion': 60.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 14, 'I': 16, 'angle': 109.5, 'blen': 1.09, 'charge': 0.122, 'type': 'HC'},
"NAMRES":'LYSINE COO- ANION',
"atNameList":['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'HG2', 'HG3', 'CD', 'HD2', 'HD3', 'CE', 'HE2', 'HE3', 'NZ', 'HZ1', 'HZ2', 'HZ3', 'C', 'O', 'OXT'],
"DUMM":[['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']],
"HA":{'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'},
"H":{'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'},
"CD":{'torsion': 180.0, 'tree': '3', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 14, 'angle': 109.47, 'blen': 1.525, 'charge': -0.18, 'type': 'CT'},
"CE":{'torsion': 180.0, 'tree': '3', 'NC': 8, 'NB': 11, 'NA': 14, 'I': 17, 'angle': 109.47, 'blen': 1.525, 'charge': -0.038, 'type': 'CT'},
"CG":{'torsion': 180.0, 'tree': '3', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 109.47, 'blen': 1.525, 'charge': -0.16, 'type': 'CT'},
"CA":{'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'},
"CB":{'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.098, 'type': 'CT'},
"OXT":{'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 24, 'I': 26, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"CUT":['0.00000'],
"C":{'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 24, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'},
},
"NAMDBF":'db4.dat',
"SER": { "HB2":{'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.119, 'type': 'HC'},
"HB3":{'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.119, 'type': 'HC'},
"HG":{'torsion': 180.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 109.47, 'blen': 0.96, 'charge': 0.31, 'type': 'HO'},
"atNameList":['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'OG', 'HG', 'C', 'O', 'OXT'],
"DUMM":[['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']],
"O":{'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 13, 'I': 14, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"CB":{'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': 0.018, 'type': 'CT'},
"impropTors":[['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O']],
"OG":{'torsion': 180.0, 'tree': 'S', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 109.47, 'blen': 1.43, 'charge': -0.55, 'type': 'OH'},
"HA":{'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'},
"N":{'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'},
"INTX,KFORM":['INT', '1'],
"CA":{'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'},
"H":{'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'},
"IFIXC,IOMIT,ISYMDU,IPOS":['CORR', 'OMIT', 'DU', 'BEG'],
"CUT":['0.00000'],
"C":{'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 13, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'},
"OXT":{'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 13, 'I': 15, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"NAMRES":'SERINE COO- ANION',
},
"ASP": { "HB2":{'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.071, 'type': 'HC'},
"HB3":{'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.071, 'type': 'HC'},
"atNameList":['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'OD1', 'OD2', 'C', 'O', 'OXT'],
"DUMM":[['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']],
"O":{'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 14, 'I': 15, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"CB":{'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.398, 'type': 'CT'},
"impropTors":[['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O'], ['CB', 'OD1', 'CG', 'OD2']],
"HA":{'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'},
"N":{'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'},
"INTX,KFORM":['INT', '1'],
"CG":{'torsion': 180.0, 'tree': 'B', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 109.47, 'blen': 1.527, 'charge': 0.714, 'type': 'C'},
"CA":{'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'},
"H":{'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'},
"IFIXC,IOMIT,ISYMDU,IPOS":['CORR', 'OMIT', 'DU', 'BEG'],
"OD2":{'torsion': 270.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 13, 'angle': 117.2, 'blen': 1.26, 'charge': -0.721, 'type': 'O2'},
"OD1":{'torsion': 90.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 117.2, 'blen': 1.26, 'charge': -0.721, 'type': 'O2'},
"CUT":['0.00000'],
"C":{'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 14, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'},
"OXT":{'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 14, 'I': 16, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"NAMRES":'ASPARTIC ACID COO- ANION',
},
"GLN": { "HB2":{'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'},
"HB3":{'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'},
"NE2":{'torsion': 180.0, 'tree': 'B', 'NC': 8, 'NB': 11, 'NA': 14, 'I': 16, 'angle': 116.6, 'blen': 1.335, 'charge': -0.867, 'type': 'N'},
"impropTors":[['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O'], ['CG', 'NE2', 'CD', 'OE1'], ['CD', 'HE21', 'NE2', 'HE22']],
"INTX,KFORM":['INT', '1'],
"HG3":{'torsion': 60.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 13, 'angle': 109.5, 'blen': 1.09, 'charge': 0.057, 'type': 'HC'},
"HG2":{'torsion': 300.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 109.5, 'blen': 1.09, 'charge': 0.057, 'type': 'HC'},
"N":{'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'},
"IFIXC,IOMIT,ISYMDU,IPOS":['CORR', 'OMIT', 'DU', 'BEG'],
"CA":{'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'},
"NAMRES":'GLUTAMINE COO- ANION',
"atNameList":['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'HG2', 'HG3', 'CD', 'OE1', 'NE2', 'HE21', 'HE22', 'C', 'O', 'OXT'],
"DUMM":[['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']],
"HE21":{'torsion': 180.0, 'tree': 'E', 'NC': 11, 'NB': 14, 'NA': 16, 'I': 17, 'angle': 119.8, 'blen': 1.01, 'charge': 0.344, 'type': 'H'},
"HE22":{'torsion': 0.0, 'tree': 'E', 'NC': 11, 'NB': 14, 'NA': 16, 'I': 18, 'angle': 119.8, 'blen': 1.01, 'charge': 0.344, 'type': 'H'},
"HA":{'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'},
"H":{'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'},
"CD":{'torsion': 180.0, 'tree': 'B', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 14, 'angle': 111.1, 'blen': 1.522, 'charge': 0.675, 'type': 'C'},
"O":{'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 19, 'I': 20, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"CG":{'torsion': 180.0, 'tree': '3', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 109.47, 'blen': 1.525, 'charge': -0.102, 'type': 'CT'},
"OE1":{'torsion': 0.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 14, 'I': 15, 'angle': 120.5, 'blen': 1.229, 'charge': -0.47, 'type': 'O'},
"CB":{'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.098, 'type': 'CT'},
"OXT":{'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 19, 'I': 21, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"CUT":['0.00000'],
"C":{'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 19, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'},
},
"GLU": { "HB2":{'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.092, 'type': 'HC'},
"HB3":{'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.092, 'type': 'HC'},
"impropTors":[['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O'], ['CG', 'OE1', 'CD', 'OE2']],
"INTX,KFORM":['INT', '1'],
"HG3":{'torsion': 60.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 13, 'angle': 109.5, 'blen': 1.09, 'charge': 0.071, 'type': 'HC'},
"HG2":{'torsion': 300.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 109.5, 'blen': 1.09, 'charge': 0.071, 'type': 'HC'},
"N":{'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'},
"IFIXC,IOMIT,ISYMDU,IPOS":['CORR', 'OMIT', 'DU', 'BEG'],
"CA":{'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'},
"OE2":{'torsion': 270.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 14, 'I': 16, 'angle': 117.2, 'blen': 1.26, 'charge': -0.721, 'type': 'O2'},
"NAMRES":'GLUTAMIC ACID COO- ANION',
"atNameList":['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'HG2', 'HG3', 'CD', 'OE1', 'OE2', 'C', 'O', 'OXT'],
"DUMM":[['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']],
"HA":{'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'},
"H":{'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'},
"CD":{'torsion': 180.0, 'tree': 'B', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 14, 'angle': 109.47, 'blen': 1.527, 'charge': 0.714, 'type': 'C'},
"O":{'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 17, 'I': 18, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"CG":{'torsion': 180.0, 'tree': '3', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 109.47, 'blen': 1.51, 'charge': -0.398, 'type': 'CT'},
"OE1":{'torsion': 90.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 14, 'I': 15, 'angle': 117.2, 'blen': 1.26, 'charge': -0.721, 'type': 'O2'},
"CB":{'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.184, 'type': 'CT'},
"OXT":{'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 17, 'I': 19, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"CUT":['0.00000'],
"C":{'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 17, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'},
},
"TRP": { "HB2":{'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'},
"HB3":{'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'},
"OXT":{'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 26, 'I': 28, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"HZ2":{'torsion': 0.0, 'tree': 'E', 'NC': 14, 'NB': 16, 'NA': 17, 'I': 18, 'angle': 120.0, 'blen': 1.09, 'charge': 0.084, 'type': 'HC'},
"HZ3":{'torsion': 180.0, 'tree': 'E', 'NC': 17, 'NB': 19, 'NA': 21, 'I': 22, 'angle': 120.0, 'blen': 1.09, 'charge': 0.057, 'type': 'HC'},
"impropTors":[['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O'], ['CD1', 'CE2', 'NE1', 'HE1'], ['CE2', 'CH2', 'CZ2', 'HZ2'], ['CZ2', 'CZ3', 'CH2', 'HH2'], ['CH2', 'CE3', 'CZ3', 'HZ3'], ['CZ3', 'CD2', 'CE3', 'HE3']],
"CH2":{'torsion': 180.0, 'tree': 'B', 'NC': 14, 'NB': 16, 'NA': 17, 'I': 19, 'angle': 116.0, 'blen': 1.39, 'charge': -0.077, 'type': 'CA'},
"CZ3":{'torsion': 0.0, 'tree': 'B', 'NC': 16, 'NB': 17, 'NA': 19, 'I': 21, 'angle': 121.0, 'blen': 1.35, 'charge': -0.066, 'type': 'CA'},
"NE1":{'torsion': 180.0, 'tree': 'B', 'NC': 8, 'NB': 11, 'NA': 12, 'I': 14, 'angle': 107.0, 'blen': 1.43, 'charge': -0.352, 'type': 'NA'},
"INTX,KFORM":['INT', '1'],
"IFIXC,IOMIT,ISYMDU,IPOS":['CORR', 'OMIT', 'DU', 'BEG'],
"HE3":{'torsion': 180.0, 'tree': 'E', 'NC': 19, 'NB': 21, 'NA': 23, 'I': 24, 'angle': 120.0, 'blen': 1.09, 'charge': 0.086, 'type': 'HC'},
"HD1":{'torsion': 0.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 12, 'I': 13, 'angle': 120.0, 'blen': 1.09, 'charge': 0.093, 'type': 'HC'},
"HE1":{'torsion': 180.0, 'tree': 'E', 'NC': 11, 'NB': 12, 'NA': 14, 'I': 15, 'angle': 125.5, 'blen': 1.01, 'charge': 0.271, 'type': 'H'},
"NAMRES":'TRYPTOPHAN COO- ANION',
"CD1":{'torsion': 180.0, 'tree': 'B', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 127.0, 'blen': 1.34, 'charge': 0.044, 'type': 'CW'},
"atNameList":['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'CD1', 'HD1', 'NE1', 'HE1', 'CE2', 'CZ2', 'HZ2', 'CH2', 'HH2', 'CZ3', 'HZ3', 'CE3', 'HE3', 'CD2', 'C', 'O', 'OXT'],
"DUMM":[['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']],
"CD2":{'torsion': 0.0, 'tree': 'E', 'NC': 19, 'NB': 21, 'NA': 23, 'I': 25, 'angle': 117.0, 'blen': 1.4, 'charge': 0.146, 'type': 'CB'},
"CE2":{'torsion': 0.0, 'tree': 'S', 'NC': 11, 'NB': 12, 'NA': 14, 'I': 16, 'angle': 109.0, 'blen': 1.31, 'charge': 0.154, 'type': 'CN'},
"CE3":{'torsion': 0.0, 'tree': 'B', 'NC': 17, 'NB': 19, 'NA': 21, 'I': 23, 'angle': 122.0, 'blen': 1.41, 'charge': -0.173, 'type': 'CA'},
"HA":{'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'},
"H":{'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'},
"N":{'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'},
"O":{'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 26, 'I': 27, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"CG":{'torsion': 180.0, 'tree': 'S', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 115.0, 'blen': 1.51, 'charge': -0.135, 'type': 'C*'},
"CA":{'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'},
"CB":{'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.098, 'type': 'CT'},
"CZ2":{'torsion': 180.0, 'tree': 'B', 'NC': 12, 'NB': 14, 'NA': 16, 'I': 17, 'angle': 128.0, 'blen': 1.4, 'charge': -0.168, 'type': 'CA'},
"loopList":[['CG', 'CD2'], ['CE2', 'CD2']],
"CUT":['0.00000'],
"C":{'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 26, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'},
"HH2":{'torsion': 180.0, 'tree': 'E', 'NC': 16, 'NB': 17, 'NA': 19, 'I': 20, 'angle': 120.0, 'blen': 1.09, 'charge': 0.074, 'type': 'HC'},
},
"GLY": { "HA3":{'torsion': 60.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 109.5, 'blen': 1.09, 'charge': 0.032, 'type': 'HC'},
"atNameList":['N', 'H', 'CA', 'HA2', 'HA3', 'C', 'O', 'OXT'],
"DUMM":[['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']],
"HA2":{'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.032, 'type': 'HC'},
"O":{'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 9, 'I': 10, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"impropTors":[['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O']],
"N":{'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'},
"INTX,KFORM":['INT', '1'],
"CA":{'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'},
"H":{'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'},
"IFIXC,IOMIT,ISYMDU,IPOS":['CORR', 'OMIT', 'DU', 'BEG'],
"CUT":['0.00000'],
"C":{'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 9, 'angle': 110.4, 'blen': 1.522, 'charge': 0.524, 'type': 'C'},
"OXT":{'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 9, 'I': 11, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"NAMRES":'GLYCINE COO- ANION',
},
"THR": { "atNameList":['N', 'H', 'CA', 'HA', 'CB', 'HB', 'CG2', 'HG21', 'HG22', 'HG23', 'OG1', 'HG1', 'C', 'O', 'OXT'],
"DUMM":[['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']],
"HG23":{'torsion': 300.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 10, 'I': 13, 'angle': 109.5, 'blen': 1.09, 'charge': 0.065, 'type': 'HC'},
"HB":{'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.082, 'type': 'HC'},
"HG22":{'torsion': 180.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 10, 'I': 12, 'angle': 109.5, 'blen': 1.09, 'charge': 0.065, 'type': 'HC'},
"CB":{'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': 0.17, 'type': 'CT'},
"HG1":{'torsion': 180.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 14, 'I': 15, 'angle': 109.47, 'blen': 0.96, 'charge': 0.31, 'type': 'HO'},
"HA":{'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'},
"impropTors":[['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O']],
"HG21":{'torsion': 60.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 10, 'I': 11, 'angle': 109.5, 'blen': 1.09, 'charge': 0.065, 'type': 'HC'},
"N":{'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'},
"INTX,KFORM":['INT', '1'],
"OG1":{'torsion': 60.0, 'tree': 'S', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 14, 'angle': 109.47, 'blen': 1.43, 'charge': -0.55, 'type': 'OH'},
"CG2":{'torsion': 300.0, 'tree': '3', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.47, 'blen': 1.525, 'charge': -0.191, 'type': 'CT'},
"CA":{'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'},
"H":{'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'},
"IFIXC,IOMIT,ISYMDU,IPOS":['CORR', 'OMIT', 'DU', 'BEG'],
"O":{'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 16, 'I': 17, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"CUT":['0.00000'],
"C":{'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 16, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'},
"OXT":{'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 16, 'I': 18, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"NAMRES":'THREONINE COO- ANION',
},
"HIP": { "HB2":{'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.086, 'type': 'HC'},
"HB3":{'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.086, 'type': 'HC'},
"NE2":{'torsion': 0.0, 'tree': 'B', 'NC': 11, 'NB': 12, 'NA': 14, 'I': 16, 'angle': 109.0, 'blen': 1.31, 'charge': -0.058, 'type': 'NA'},
"ND1":{'torsion': 180.0, 'tree': 'B', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 122.0, 'blen': 1.39, 'charge': -0.058, 'type': 'NA'},
"impropTors":[['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O'], ['CG', 'CE1', 'ND1', 'HD1'], ['CE1', 'CD2', 'NE2', 'HE2']],
"CE1":{'torsion': 180.0, 'tree': 'B', 'NC': 8, 'NB': 11, 'NA': 12, 'I': 14, 'angle': 108.0, 'blen': 1.32, 'charge': 0.114, 'type': 'CR'},
"INTX,KFORM":['INT', '1'],
"IFIXC,IOMIT,ISYMDU,IPOS":['CORR', 'OMIT', 'DU', 'BEG'],
"HD1":{'torsion': 0.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 12, 'I': 13, 'angle': 126.0, 'blen': 1.01, 'charge': 0.306, 'type': 'H'},
"HE2":{'torsion': 180.0, 'tree': 'E', 'NC': 12, 'NB': 14, 'NA': 16, 'I': 17, 'angle': 125.0, 'blen': 1.01, 'charge': 0.306, 'type': 'H'},
"NAMRES":'HISTIDINE PLUS COO-',
"HE":{'torsion': 180.0, 'tree': 'E', 'NC': 11, 'NB': 12, 'NA': 14, 'I': 15, 'angle': 120.0, 'blen': 1.09, 'charge': 0.158, 'type': 'HC'},
"HD":{'torsion': 180.0, 'tree': 'E', 'NC': 14, 'NB': 16, 'NA': 18, 'I': 19, 'angle': 120.0, 'blen': 1.09, 'charge': 0.153, 'type': 'HC'},
"atNameList":['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'ND1', 'HD1', 'CE1', 'HE', 'NE2', 'HE2', 'CD2', 'HD', 'C', 'O', 'OXT'],
"DUMM":[['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']],
"CD2":{'torsion': 0.0, 'tree': 'S', 'NC': 12, 'NB': 14, 'NA': 16, 'I': 18, 'angle': 110.0, 'blen': 1.36, 'charge': -0.037, 'type': 'CW'},
"HA":{'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'},
"H":{'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'},
"N":{'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'},
"O":{'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 20, 'I': 21, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"CG":{'torsion': 180.0, 'tree': 'S', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 115.0, 'blen': 1.51, 'charge': 0.058, 'type': 'CC'},
"CA":{'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'},
"CB":{'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.098, 'type': 'CT'},
"OXT":{'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 20, 'I': 22, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"loopList":[['CG', 'CD2']],
"CUT":['0.00000'],
"C":{'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 20, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'},
},
"VAL": { "HG22":{'torsion': 180.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 14, 'I': 16, 'angle': 109.5, 'blen': 1.09, 'charge': 0.031, 'type': 'HC'},
"HG23":{'torsion': 300.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 14, 'I': 17, 'angle': 109.5, 'blen': 1.09, 'charge': 0.031, 'type': 'HC'},
"HG21":{'torsion': 60.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 14, 'I': 15, 'angle': 109.5, 'blen': 1.09, 'charge': 0.031, 'type': 'HC'},
"impropTors":[['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O']],
"HG13":{'torsion': 300.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 10, 'I': 13, 'angle': 109.5, 'blen': 1.09, 'charge': 0.031, 'type': 'HC'},
"HG12":{'torsion': 180.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 10, 'I': 12, 'angle': 109.5, 'blen': 1.09, 'charge': 0.031, 'type': 'HC'},
"HG11":{'torsion': 60.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 10, 'I': 11, 'angle': 109.5, 'blen': 1.09, 'charge': 0.031, 'type': 'HC'},
"INTX,KFORM":['INT', '1'],
"CG2":{'torsion': 180.0, 'tree': '3', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 14, 'angle': 109.47, 'blen': 1.525, 'charge': -0.091, 'type': 'CT'},
"IFIXC,IOMIT,ISYMDU,IPOS":['CORR', 'OMIT', 'DU', 'BEG'],
"CG1":{'torsion': 60.0, 'tree': '3', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.47, 'blen': 1.525, 'charge': -0.091, 'type': 'CT'},
"NAMRES":'VALINE COO- ANION',
"atNameList":['N', 'H', 'CA', 'HA', 'CB', 'HB', 'CG1', 'HG11', 'HG12', 'HG13', 'CG2', 'HG21', 'HG22', 'HG23', 'C', 'O', 'OXT'],
"DUMM":[['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']],
"HB":{'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.024, 'type': 'HC'},
"HA":{'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'},
"N":{'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'},
"O":{'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 18, 'I': 19, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"H":{'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'},
"CA":{'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'},
"CB":{'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.012, 'type': 'CT'},
"OXT":{'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 18, 'I': 20, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"CUT":['0.00000'],
"C":{'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 18, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'},
},
"ILE": { "HG22":{'torsion': 180.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 10, 'I': 12, 'angle': 109.5, 'blen': 1.09, 'charge': 0.029, 'type': 'HC'},
"HG23":{'torsion': 300.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 10, 'I': 13, 'angle': 109.5, 'blen': 1.09, 'charge': 0.029, 'type': 'HC'},
"HG21":{'torsion': 60.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 10, 'I': 11, 'angle': 109.5, 'blen': 1.09, 'charge': 0.029, 'type': 'HC'},
"HD13":{'torsion': 300.0, 'tree': 'E', 'NC': 8, 'NB': 14, 'NA': 17, 'I': 20, 'angle': 109.5, 'blen': 1.09, 'charge': 0.028, 'type': 'HC'},
"HG13":{'torsion': 60.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 14, 'I': 16, 'angle': 109.5, 'blen': 1.09, 'charge': 0.027, 'type': 'HC'},
"HG12":{'torsion': 300.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 14, 'I': 15, 'angle': 109.5, 'blen': 1.09, 'charge': 0.027, 'type': 'HC'},
"INTX,KFORM":['INT', '1'],
"CG2":{'torsion': 60.0, 'tree': '3', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.47, 'blen': 1.525, 'charge': -0.085, 'type': 'CT'},
"IFIXC,IOMIT,ISYMDU,IPOS":['CORR', 'OMIT', 'DU', 'BEG'],
"CG1":{'torsion': 180.0, 'tree': '3', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 14, 'angle': 109.47, 'blen': 1.525, 'charge': -0.049, 'type': 'CT'},
"NAMRES":'ISOLEUCINE COO- ANION',
"atNameList":['N', 'H', 'CA', 'HA', 'CB', 'HB', 'CG2', 'HG21', 'HG22', 'HG23', 'CG1', 'HG12', 'HG13', 'CD1', 'HD11', 'HD12', 'HD13', 'C', 'O', 'OXT'],
"DUMM":[['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']],
"HD11":{'torsion': 60.0, 'tree': 'E', 'NC': 8, 'NB': 14, 'NA': 17, 'I': 18, 'angle': 109.5, 'blen': 1.09, 'charge': 0.028, 'type': 'HC'},
"HD12":{'torsion': 180.0, 'tree': 'E', 'NC': 8, 'NB': 14, 'NA': 17, 'I': 19, 'angle': 109.5, 'blen': 1.09, 'charge': 0.028, 'type': 'HC'},
"HB":{'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.022, 'type': 'HC'},
"CD1":{'torsion': 180.0, 'tree': '3', 'NC': 6, 'NB': 8, 'NA': 14, 'I': 17, 'angle': 109.47, 'blen': 1.525, 'charge': -0.085, 'type': 'CT'},
"HA":{'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'},
"N":{'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'},
"O":{'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 21, 'I': 22, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"H":{'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'},
"CA":{'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'},
"CB":{'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 109.47, 'blen': 1.525, 'charge': -0.012, 'type': 'CT'},
"OXT":{'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 21, 'I': 23, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'},
"CUT":['0.00000'],
"C":{'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 21, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'},
"impropTors":[['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O']],
},
"filename":'allct.in',
} | allct_dat = {'TYR': {'HB2': {'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'}, 'HB3': {'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'}, 'impropTors': [['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O']], 'INTX,KFORM': ['INT', '1'], 'HD2': {'torsion': 180.0, 'tree': 'E', 'NC': 16, 'NB': 19, 'NA': 21, 'I': 22, 'angle': 120.0, 'blen': 1.09, 'charge': 0.064, 'type': 'HC'}, 'IFIXC,IOMIT,ISYMDU,IPOS': ['CORR', 'OMIT', 'DU', 'BEG'], 'OH': {'torsion': 180.0, 'tree': 'S', 'NC': 12, 'NB': 14, 'NA': 16, 'I': 17, 'angle': 120.0, 'blen': 1.36, 'charge': -0.528, 'type': 'OH'}, 'HD1': {'torsion': 0.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 12, 'I': 13, 'angle': 120.0, 'blen': 1.09, 'charge': 0.064, 'type': 'HC'}, 'HE1': {'torsion': 180.0, 'tree': 'E', 'NC': 11, 'NB': 12, 'NA': 14, 'I': 15, 'angle': 120.0, 'blen': 1.09, 'charge': 0.102, 'type': 'HC'}, 'HE2': {'torsion': 180.0, 'tree': 'E', 'NC': 14, 'NB': 16, 'NA': 19, 'I': 20, 'angle': 120.0, 'blen': 1.09, 'charge': 0.102, 'type': 'HC'}, 'CD2': {'torsion': 0.0, 'tree': 'S', 'NC': 14, 'NB': 16, 'NA': 19, 'I': 21, 'angle': 120.0, 'blen': 1.4, 'charge': -0.002, 'type': 'CA'}, 'NAMRES': 'TYROSINE COO- ANION', 'CD1': {'torsion': 180.0, 'tree': 'B', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 120.0, 'blen': 1.4, 'charge': -0.002, 'type': 'CA'}, 'atNameList': ['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'CD1', 'HD1', 'CE1', 'HE1', 'CZ', 'OH', 'HH', 'CE2', 'HE2', 'CD2', 'HD2', 'C', 'O', 'OXT'], 'DUMM': [['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']], 'CE1': {'torsion': 180.0, 'tree': 'B', 'NC': 8, 'NB': 11, 'NA': 12, 'I': 14, 'angle': 120.0, 'blen': 1.4, 'charge': -0.264, 'type': 'CA'}, 'CE2': {'torsion': 0.0, 'tree': 'B', 'NC': 12, 'NB': 14, 'NA': 16, 'I': 19, 'angle': 120.0, 'blen': 1.4, 'charge': -0.264, 'type': 'CA'}, 'HA': {'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'}, 'HH': {'torsion': 0.0, 'tree': 'E', 'NC': 14, 'NB': 16, 'NA': 17, 'I': 18, 'angle': 113.0, 'blen': 0.96, 'charge': 0.334, 'type': 'HO'}, 'CZ': {'torsion': 0.0, 'tree': 'B', 'NC': 11, 'NB': 12, 'NA': 14, 'I': 16, 'angle': 120.0, 'blen': 1.4, 'charge': 0.462, 'type': 'C'}, 'H': {'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'}, 'N': {'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'}, 'O': {'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 23, 'I': 24, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'CG': {'torsion': 180.0, 'tree': 'S', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 109.47, 'blen': 1.51, 'charge': -0.03, 'type': 'CA'}, 'CA': {'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'}, 'CB': {'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.098, 'type': 'CT'}, 'OXT': {'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 23, 'I': 25, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'loopList': [['CG', 'CD2']], 'CUT': ['0.00000'], 'C': {'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 23, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'}}, 'ASN': {'HB2': {'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'}, 'HB3': {'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'}, 'atNameList': ['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'OD1', 'ND2', 'HD21', 'HD22', 'C', 'O', 'OXT'], 'DUMM': [['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']], 'ND2': {'torsion': 180.0, 'tree': 'B', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 13, 'angle': 116.6, 'blen': 1.335, 'charge': -0.867, 'type': 'N'}, 'O': {'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 16, 'I': 17, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'CB': {'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.086, 'type': 'CT'}, 'impropTors': [['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O'], ['CB', 'ND2', 'CG', 'OD1'], ['CG', 'HD21', 'ND2', 'HD22']], 'HA': {'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'}, 'N': {'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'}, 'INTX,KFORM': ['INT', '1'], 'CG': {'torsion': 180.0, 'tree': 'B', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 111.1, 'blen': 1.522, 'charge': 0.675, 'type': 'C'}, 'CA': {'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'}, 'H': {'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'}, 'IFIXC,IOMIT,ISYMDU,IPOS': ['CORR', 'OMIT', 'DU', 'BEG'], 'HD21': {'torsion': 180.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 13, 'I': 14, 'angle': 119.8, 'blen': 1.01, 'charge': 0.344, 'type': 'H'}, 'OD1': {'torsion': 0.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 120.5, 'blen': 1.229, 'charge': -0.47, 'type': 'O'}, 'HD22': {'torsion': 0.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 13, 'I': 15, 'angle': 119.8, 'blen': 1.01, 'charge': 0.344, 'type': 'H'}, 'CUT': ['0.00000'], 'C': {'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 16, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'}, 'OXT': {'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 16, 'I': 18, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'NAMRES': 'ASPARAGINE COO- ANION'}, 'CYS': {'HB2': {'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'}, 'HB3': {'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'}, 'atNameList': ['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'SG', 'HSG', 'LP1', 'LP2', 'C', 'O', 'OXT'], 'DUMM': [['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']], 'SG': {'torsion': 180.0, 'tree': '3', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 116.0, 'blen': 1.81, 'charge': 0.827, 'type': 'SH'}, 'LP1': {'torsion': 60.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 13, 'angle': 96.7, 'blen': 0.679, 'charge': -0.481, 'type': 'LP'}, 'O': {'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 15, 'I': 16, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'CB': {'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.06, 'type': 'CT'}, 'impropTors': [['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O']], 'HA': {'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'}, 'N': {'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'}, 'INTX,KFORM': ['INT', '1'], 'LP2': {'torsion': 300.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 14, 'angle': 96.7, 'blen': 0.679, 'charge': -0.481, 'type': 'LP'}, 'CA': {'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'}, 'H': {'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'}, 'IFIXC,IOMIT,ISYMDU,IPOS': ['CORR', 'OMIT', 'DU', 'BEG'], 'HSG': {'torsion': 180.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 96.0, 'blen': 1.33, 'charge': 0.135, 'type': 'HS'}, 'CUT': ['0.00000'], 'C': {'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 15, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'}, 'OXT': {'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 15, 'I': 17, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'NAMRES': 'CYSTEINE COO- ANION'}, 'ARG': {'HB2': {'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.056, 'type': 'HC'}, 'HB3': {'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.056, 'type': 'HC'}, 'impropTors': [['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O'], ['NE', 'NH1', 'CZ', 'NH2'], ['CD', 'CZ', 'NE', 'HE'], ['CZ', 'HH12', 'NH1', 'HH11'], ['CZ', 'HH22', 'NH2', 'HH21']], 'HH11': {'torsion': 0.0, 'tree': 'E', 'NC': 17, 'NB': 19, 'NA': 20, 'I': 21, 'angle': 119.8, 'blen': 1.01, 'charge': 0.361, 'type': 'H3'}, 'HH12': {'torsion': 180.0, 'tree': 'E', 'NC': 17, 'NB': 19, 'NA': 20, 'I': 22, 'angle': 119.8, 'blen': 1.01, 'charge': 0.361, 'type': 'H3'}, 'HH21': {'torsion': 0.0, 'tree': 'E', 'NC': 17, 'NB': 19, 'NA': 23, 'I': 24, 'angle': 119.8, 'blen': 1.01, 'charge': 0.361, 'type': 'H3'}, 'HH22': {'torsion': 180.0, 'tree': 'E', 'NC': 17, 'NB': 19, 'NA': 23, 'I': 25, 'angle': 119.8, 'blen': 1.01, 'charge': 0.361, 'type': 'H3'}, 'INTX,KFORM': ['INT', '1'], 'NE': {'torsion': 180.0, 'tree': 'B', 'NC': 8, 'NB': 11, 'NA': 14, 'I': 17, 'angle': 111.0, 'blen': 1.48, 'charge': -0.324, 'type': 'N2'}, 'HG2': {'torsion': 300.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 109.5, 'blen': 1.09, 'charge': 0.074, 'type': 'HC'}, 'N': {'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'}, 'IFIXC,IOMIT,ISYMDU,IPOS': ['CORR', 'OMIT', 'DU', 'BEG'], 'HD2': {'torsion': 300.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 14, 'I': 15, 'angle': 109.5, 'blen': 1.09, 'charge': 0.133, 'type': 'HC'}, 'HD3': {'torsion': 60.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 14, 'I': 16, 'angle': 109.5, 'blen': 1.09, 'charge': 0.133, 'type': 'HC'}, 'NAMRES': 'ARGININE COO- ANION', 'HE': {'torsion': 0.0, 'tree': 'E', 'NC': 11, 'NB': 14, 'NA': 17, 'I': 18, 'angle': 118.5, 'blen': 1.01, 'charge': 0.269, 'type': 'H3'}, 'atNameList': ['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'HG2', 'HG3', 'CD', 'HD2', 'HD3', 'NE', 'HE', 'CZ', 'NH1', 'HH11', 'HH12', 'NH2', 'HH21', 'HH22', 'C', 'O', 'OXT'], 'DUMM': [['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']], 'NH2': {'torsion': 180.0, 'tree': 'B', 'NC': 14, 'NB': 17, 'NA': 19, 'I': 23, 'angle': 118.0, 'blen': 1.33, 'charge': -0.624, 'type': 'N2'}, 'HG3': {'torsion': 60.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 13, 'angle': 109.5, 'blen': 1.09, 'charge': 0.074, 'type': 'HC'}, 'NH1': {'torsion': 0.0, 'tree': 'B', 'NC': 14, 'NB': 17, 'NA': 19, 'I': 20, 'angle': 122.0, 'blen': 1.33, 'charge': -0.624, 'type': 'N2'}, 'HA': {'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'}, 'CZ': {'torsion': 180.0, 'tree': 'B', 'NC': 11, 'NB': 14, 'NA': 17, 'I': 19, 'angle': 123.0, 'blen': 1.33, 'charge': 0.76, 'type': 'CA'}, 'H': {'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'}, 'CD': {'torsion': 180.0, 'tree': '3', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 14, 'angle': 109.47, 'blen': 1.525, 'charge': -0.228, 'type': 'CT'}, 'O': {'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 26, 'I': 27, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'CG': {'torsion': 180.0, 'tree': '3', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 109.47, 'blen': 1.525, 'charge': -0.103, 'type': 'CT'}, 'CA': {'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'}, 'CB': {'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.08, 'type': 'CT'}, 'OXT': {'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 26, 'I': 28, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'CUT': ['0.00000'], 'C': {'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 26, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'}}, 'LEU': {'HB2': {'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.033, 'type': 'HC'}, 'HB3': {'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.033, 'type': 'HC'}, 'impropTors': [['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O']], 'INTX,KFORM': ['INT', '1'], 'IFIXC,IOMIT,ISYMDU,IPOS': ['CORR', 'OMIT', 'DU', 'BEG'], 'NAMRES': 'LEUCINE COO- ANION', 'HG': {'torsion': 300.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 109.5, 'blen': 1.09, 'charge': 0.031, 'type': 'HC'}, 'atNameList': ['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'HG', 'CD1', 'HD11', 'HD12', 'HD13', 'CD2', 'HD21', 'HD22', 'HD23', 'C', 'O', 'OXT'], 'DUMM': [['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']], 'HD11': {'torsion': 60.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 13, 'I': 14, 'angle': 109.5, 'blen': 1.09, 'charge': 0.034, 'type': 'HC'}, 'HD12': {'torsion': 180.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 13, 'I': 15, 'angle': 109.5, 'blen': 1.09, 'charge': 0.034, 'type': 'HC'}, 'HD13': {'torsion': 300.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 13, 'I': 16, 'angle': 109.5, 'blen': 1.09, 'charge': 0.034, 'type': 'HC'}, 'CD2': {'torsion': 180.0, 'tree': '3', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 17, 'angle': 109.47, 'blen': 1.525, 'charge': -0.107, 'type': 'CT'}, 'CD1': {'torsion': 60.0, 'tree': '3', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 13, 'angle': 109.47, 'blen': 1.525, 'charge': -0.107, 'type': 'CT'}, 'HA': {'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'}, 'H': {'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'}, 'N': {'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'}, 'O': {'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 21, 'I': 22, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'CG': {'torsion': 180.0, 'tree': '3', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 109.47, 'blen': 1.525, 'charge': -0.01, 'type': 'CT'}, 'CA': {'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'}, 'CB': {'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.061, 'type': 'CT'}, 'OXT': {'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 21, 'I': 23, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'HD21': {'torsion': 60.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 17, 'I': 18, 'angle': 109.5, 'blen': 1.09, 'charge': 0.034, 'type': 'HC'}, 'HD23': {'torsion': 300.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 17, 'I': 20, 'angle': 109.5, 'blen': 1.09, 'charge': 0.034, 'type': 'HC'}, 'HD22': {'torsion': 180.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 17, 'I': 19, 'angle': 109.5, 'blen': 1.09, 'charge': 0.034, 'type': 'HC'}, 'CUT': ['0.00000'], 'C': {'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 21, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'}}, 'HID': {'HB2': {'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'}, 'HB3': {'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'}, 'NE2': {'torsion': 0.0, 'tree': 'S', 'NC': 11, 'NB': 12, 'NA': 14, 'I': 16, 'angle': 109.0, 'blen': 1.31, 'charge': -0.502, 'type': 'NB'}, 'ND1': {'torsion': 180.0, 'tree': 'B', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 122.0, 'blen': 1.39, 'charge': -0.146, 'type': 'NA'}, 'impropTors': [['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O'], ['CG', 'CE1', 'ND1', 'HD1']], 'CE1': {'torsion': 180.0, 'tree': 'B', 'NC': 8, 'NB': 11, 'NA': 12, 'I': 14, 'angle': 108.0, 'blen': 1.32, 'charge': 0.241, 'type': 'CR'}, 'INTX,KFORM': ['INT', '1'], 'IFIXC,IOMIT,ISYMDU,IPOS': ['CORR', 'OMIT', 'DU', 'BEG'], 'HD1': {'torsion': 0.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 12, 'I': 13, 'angle': 126.0, 'blen': 1.01, 'charge': 0.228, 'type': 'H'}, 'NAMRES': 'HISTIDINE DELTAH COO- ANION', 'HE': {'torsion': 180.0, 'tree': 'E', 'NC': 11, 'NB': 12, 'NA': 14, 'I': 15, 'angle': 120.0, 'blen': 1.09, 'charge': 0.036, 'type': 'HC'}, 'HD': {'torsion': 180.0, 'tree': 'E', 'NC': 14, 'NB': 16, 'NA': 17, 'I': 18, 'angle': 120.0, 'blen': 1.09, 'charge': 0.018, 'type': 'HC'}, 'atNameList': ['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'ND1', 'HD1', 'CE1', 'HE', 'NE2', 'CD2', 'HD', 'C', 'O', 'OXT'], 'DUMM': [['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']], 'CD2': {'torsion': 0.0, 'tree': 'S', 'NC': 12, 'NB': 14, 'NA': 16, 'I': 17, 'angle': 110.0, 'blen': 1.36, 'charge': 0.195, 'type': 'CV'}, 'HA': {'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'}, 'H': {'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'}, 'N': {'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'}, 'O': {'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 19, 'I': 20, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'CG': {'torsion': 180.0, 'tree': 'S', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 115.0, 'blen': 1.51, 'charge': -0.032, 'type': 'CC'}, 'CA': {'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'}, 'CB': {'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.098, 'type': 'CT'}, 'OXT': {'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 19, 'I': 21, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'loopList': [['CG', 'CD2']], 'CUT': ['0.00000'], 'C': {'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 19, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'}}, 'HIE': {'HB2': {'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'}, 'HB3': {'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'}, 'NE2': {'torsion': 0.0, 'tree': 'B', 'NC': 11, 'NB': 12, 'NA': 13, 'I': 15, 'angle': 109.0, 'blen': 1.31, 'charge': -0.146, 'type': 'NA'}, 'ND1': {'torsion': 180.0, 'tree': 'S', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 122.0, 'blen': 1.39, 'charge': -0.502, 'type': 'NB'}, 'impropTors': [['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O'], ['CE1', 'CD2', 'NE2', 'HE2']], 'CE1': {'torsion': 180.0, 'tree': 'B', 'NC': 8, 'NB': 11, 'NA': 12, 'I': 13, 'angle': 108.0, 'blen': 1.32, 'charge': 0.241, 'type': 'CR'}, 'INTX,KFORM': ['INT', '1'], 'IFIXC,IOMIT,ISYMDU,IPOS': ['CORR', 'OMIT', 'DU', 'BEG'], 'HE2': {'torsion': 180.0, 'tree': 'E', 'NC': 12, 'NB': 13, 'NA': 15, 'I': 16, 'angle': 125.0, 'blen': 1.01, 'charge': 0.228, 'type': 'H'}, 'NAMRES': 'HISTIDINE EPSILON-H COO- ANION', 'HE': {'torsion': 180.0, 'tree': 'E', 'NC': 11, 'NB': 12, 'NA': 13, 'I': 14, 'angle': 120.0, 'blen': 1.09, 'charge': 0.036, 'type': 'HC'}, 'HD': {'torsion': 180.0, 'tree': 'E', 'NC': 13, 'NB': 15, 'NA': 17, 'I': 18, 'angle': 120.0, 'blen': 1.09, 'charge': 0.114, 'type': 'HC'}, 'atNameList': ['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'ND1', 'CE1', 'HE', 'NE2', 'HE2', 'CD2', 'HD', 'C', 'O', 'OXT'], 'DUMM': [['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']], 'CD2': {'torsion': 0.0, 'tree': 'S', 'NC': 12, 'NB': 13, 'NA': 15, 'I': 17, 'angle': 110.0, 'blen': 1.36, 'charge': -0.184, 'type': 'CW'}, 'HA': {'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'}, 'H': {'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'}, 'N': {'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'}, 'O': {'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 19, 'I': 20, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'CG': {'torsion': 180.0, 'tree': 'S', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 115.0, 'blen': 1.51, 'charge': 0.251, 'type': 'CC'}, 'CA': {'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'}, 'CB': {'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.098, 'type': 'CT'}, 'OXT': {'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 19, 'I': 21, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'loopList': [['CG', 'CD2']], 'CUT': ['0.00000'], 'C': {'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 19, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'}}, 'MET': {'HB2': {'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.027, 'type': 'HC'}, 'HB3': {'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.027, 'type': 'HC'}, 'O': {'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 21, 'I': 22, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'impropTors': [['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O']], 'SD': {'torsion': 180.0, 'tree': '3', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 14, 'angle': 110.0, 'blen': 1.81, 'charge': 0.737, 'type': 'S'}, 'LP1': {'torsion': 60.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 14, 'I': 15, 'angle': 96.7, 'blen': 0.679, 'charge': -0.381, 'type': 'LP'}, 'HG3': {'torsion': 60.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 13, 'angle': 109.5, 'blen': 1.09, 'charge': 0.0652, 'type': 'HC'}, 'HG2': {'torsion': 300.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 109.5, 'blen': 1.09, 'charge': 0.0652, 'type': 'HC'}, 'INTX,KFORM': ['INT', '1'], 'IFIXC,IOMIT,ISYMDU,IPOS': ['CORR', 'OMIT', 'DU', 'BEG'], 'HE3': {'torsion': 300.0, 'tree': 'E', 'NC': 11, 'NB': 14, 'NA': 17, 'I': 20, 'angle': 109.5, 'blen': 1.09, 'charge': 0.0652, 'type': 'HC'}, 'HE2': {'torsion': 180.0, 'tree': 'E', 'NC': 11, 'NB': 14, 'NA': 17, 'I': 19, 'angle': 109.5, 'blen': 1.09, 'charge': 0.0652, 'type': 'HC'}, 'HE1': {'torsion': 60.0, 'tree': 'E', 'NC': 11, 'NB': 14, 'NA': 17, 'I': 18, 'angle': 109.5, 'blen': 1.09, 'charge': 0.0652, 'type': 'HC'}, 'NAMRES': 'METHIONINE COO- ANION', 'atNameList': ['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'HG2', 'HG3', 'SD', 'LP1', 'LP2', 'CE', 'HE1', 'HE2', 'HE3', 'C', 'O', 'OXT'], 'DUMM': [['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']], 'HA': {'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'}, 'H': {'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'}, 'N': {'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'}, 'CE': {'torsion': 180.0, 'tree': '3', 'NC': 8, 'NB': 11, 'NA': 14, 'I': 17, 'angle': 100.0, 'blen': 1.78, 'charge': -0.134, 'type': 'CT'}, 'CG': {'torsion': 180.0, 'tree': '3', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 109.47, 'blen': 1.525, 'charge': -0.054, 'type': 'CT'}, 'CA': {'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'}, 'CB': {'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.151, 'type': 'CT'}, 'OXT': {'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 21, 'I': 23, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'LP2': {'torsion': 300.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 14, 'I': 16, 'angle': 96.7, 'blen': 0.679, 'charge': -0.381, 'type': 'LP'}, 'CUT': ['0.00000'], 'C': {'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 21, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'}}, 'IDBGEN,IREST,ITYPF': ['1', '1', '201'], 'ALA': {'HB2': {'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'}, 'HB3': {'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'}, 'atNameList': ['N', 'H', 'CA', 'HA', 'CB', 'HB1', 'HB2', 'HB3', 'C', 'O', 'OXT'], 'DUMM': [['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']], 'HB1': {'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'}, 'O': {'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 12, 'I': 13, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'CB': {'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.098, 'type': 'CT'}, 'impropTors': [['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O']], 'HA': {'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'}, 'N': {'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'}, 'INTX,KFORM': ['INT', '1'], 'CA': {'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'}, 'H': {'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'}, 'IFIXC,IOMIT,ISYMDU,IPOS': ['CORR', 'OMIT', 'DU', 'BEG'], 'CUT': ['0.00000'], 'C': {'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 12, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'}, 'OXT': {'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 12, 'I': 14, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'NAMRES': 'ALANINE COO- ANION'}, 'PHE': {'HB2': {'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'}, 'HB3': {'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'}, 'impropTors': [['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O']], 'INTX,KFORM': ['INT', '1'], 'HD2': {'torsion': 180.0, 'tree': 'E', 'NC': 16, 'NB': 18, 'NA': 20, 'I': 21, 'angle': 120.0, 'blen': 1.09, 'charge': 0.058, 'type': 'HC'}, 'IFIXC,IOMIT,ISYMDU,IPOS': ['CORR', 'OMIT', 'DU', 'BEG'], 'HD1': {'torsion': 0.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 12, 'I': 13, 'angle': 120.0, 'blen': 1.09, 'charge': 0.058, 'type': 'HC'}, 'HE1': {'torsion': 180.0, 'tree': 'E', 'NC': 11, 'NB': 12, 'NA': 14, 'I': 15, 'angle': 120.0, 'blen': 1.09, 'charge': 0.063, 'type': 'HC'}, 'HE2': {'torsion': 180.0, 'tree': 'E', 'NC': 14, 'NB': 16, 'NA': 18, 'I': 19, 'angle': 120.0, 'blen': 1.09, 'charge': 0.063, 'type': 'HC'}, 'CD2': {'torsion': 0.0, 'tree': 'S', 'NC': 14, 'NB': 16, 'NA': 18, 'I': 20, 'angle': 120.0, 'blen': 1.4, 'charge': -0.069, 'type': 'CA'}, 'NAMRES': 'PHENYLALANINE COO- ANION', 'CD1': {'torsion': 180.0, 'tree': 'B', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 120.0, 'blen': 1.4, 'charge': -0.069, 'type': 'CA'}, 'atNameList': ['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'CD1', 'HD1', 'CE1', 'HE1', 'CZ', 'HZ', 'CE2', 'HE2', 'CD2', 'HD2', 'C', 'O', 'OXT'], 'DUMM': [['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']], 'CE1': {'torsion': 180.0, 'tree': 'B', 'NC': 8, 'NB': 11, 'NA': 12, 'I': 14, 'angle': 120.0, 'blen': 1.4, 'charge': -0.059, 'type': 'CA'}, 'CE2': {'torsion': 0.0, 'tree': 'B', 'NC': 12, 'NB': 14, 'NA': 16, 'I': 18, 'angle': 120.0, 'blen': 1.4, 'charge': -0.059, 'type': 'CA'}, 'HA': {'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'}, 'CZ': {'torsion': 0.0, 'tree': 'B', 'NC': 11, 'NB': 12, 'NA': 14, 'I': 16, 'angle': 120.0, 'blen': 1.4, 'charge': -0.065, 'type': 'CA'}, 'H': {'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'}, 'N': {'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'}, 'O': {'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 22, 'I': 23, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'CG': {'torsion': 180.0, 'tree': 'S', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 115.0, 'blen': 1.51, 'charge': 0.055, 'type': 'CA'}, 'CA': {'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'}, 'CB': {'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.098, 'type': 'CT'}, 'OXT': {'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 22, 'I': 24, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'loopList': [['CG', 'CD2']], 'CUT': ['0.00000'], 'C': {'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 22, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'}, 'HZ': {'torsion': 180.0, 'tree': 'E', 'NC': 12, 'NB': 14, 'NA': 16, 'I': 17, 'angle': 120.0, 'blen': 1.09, 'charge': 0.062, 'type': 'HC'}}, 'CYX': {'HB2': {'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.0495, 'type': 'HC'}, 'HB3': {'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.0495, 'type': 'HC'}, 'atNameList': ['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'SG', 'LP1', 'LP2', 'C', 'O', 'OXT'], 'DUMM': [['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']], 'SG': {'torsion': 180.0, 'tree': 'B', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 116.0, 'blen': 1.81, 'charge': 0.824, 'type': 'S'}, 'LP1': {'torsion': 60.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 96.7, 'blen': 0.679, 'charge': -0.4045, 'type': 'LP'}, 'O': {'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 14, 'I': 15, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'CB': {'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.098, 'type': 'CT'}, 'impropTors': [['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O']], 'HA': {'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'}, 'N': {'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'}, 'INTX,KFORM': ['INT', '1'], 'LP2': {'torsion': 300.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 13, 'angle': 96.7, 'blen': 0.679, 'charge': -0.4045, 'type': 'LP'}, 'CA': {'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'}, 'H': {'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'}, 'IFIXC,IOMIT,ISYMDU,IPOS': ['CORR', 'OMIT', 'DU', 'BEG'], 'CUT': ['0.00000'], 'C': {'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 14, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'}, 'OXT': {'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 14, 'I': 16, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'NAMRES': 'CYSTINE(S-S BRIDGE) COO- ANION'}, 'PRO': {'HB2': {'torsion': 136.3, 'tree': 'E', 'NC': 5, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 109.5, 'blen': 1.09, 'charge': 0.061, 'type': 'HC'}, 'HB3': {'torsion': 256.3, 'tree': 'E', 'NC': 5, 'NB': 8, 'NA': 11, 'I': 13, 'angle': 109.5, 'blen': 1.09, 'charge': 0.061, 'type': 'HC'}, 'impropTors': [['CA', 'OXT', 'C', 'O'], ['-M', 'CA', 'N', 'CD']], 'INTX,KFORM': ['INT', '1'], 'HG3': {'torsion': 98.0, 'tree': 'E', 'NC': 4, 'NB': 5, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.063, 'type': 'HC'}, 'HG2': {'torsion': 218.0, 'tree': 'E', 'NC': 4, 'NB': 5, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.063, 'type': 'HC'}, 'CD': {'torsion': 356.1, 'tree': '3', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 126.1, 'blen': 1.458, 'charge': -0.012, 'type': 'CT'}, 'IFIXC,IOMIT,ISYMDU,IPOS': ['CORR', 'OMIT', 'DU', 'BEG'], 'loopList': [['CA', 'CB']], 'HD2': {'torsion': 80.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 5, 'I': 6, 'angle': 109.5, 'blen': 1.09, 'charge': 0.06, 'type': 'HC'}, 'HD3': {'torsion': 320.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 5, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.06, 'type': 'HC'}, 'NAMRES': 'PROLINE COO- ANION', 'atNameList': ['N', 'CD', 'HD2', 'HD3', 'CG', 'HG2', 'HG3', 'CB', 'HB2', 'HB3', 'CA', 'HA', 'C', 'O', 'OXT'], 'DUMM': [['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']], 'HA': {'torsion': 81.1, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 14, 'I': 15, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'}, 'N': {'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 117.0, 'blen': 1.337, 'charge': -0.229, 'type': 'N'}, 'O': {'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 14, 'NA': 16, 'I': 17, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'CG': {'torsion': 200.1, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 5, 'I': 8, 'angle': 103.2, 'blen': 1.5, 'charge': -0.121, 'type': 'CT'}, 'CA': {'torsion': 175.2, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 14, 'angle': 120.6, 'blen': 1.451, 'charge': 0.035, 'type': 'CT'}, 'CB': {'torsion': 338.3, 'tree': 'B', 'NC': 4, 'NB': 5, 'NA': 8, 'I': 11, 'angle': 106.0, 'blen': 1.51, 'charge': -0.115, 'type': 'CT'}, 'OXT': {'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 14, 'NA': 16, 'I': 18, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'CUT': ['0.00000'], 'C': {'torsion': 0.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 14, 'I': 16, 'angle': 111.1, 'blen': 1.522, 'charge': 0.438, 'type': 'C'}}, 'LYS': {'HB2': {'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'}, 'HB3': {'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'}, 'HZ2': {'torsion': 180.0, 'tree': 'E', 'NC': 14, 'NB': 17, 'NA': 20, 'I': 22, 'angle': 109.47, 'blen': 1.01, 'charge': 0.294, 'type': 'H3'}, 'HZ3': {'torsion': 300.0, 'tree': 'E', 'NC': 14, 'NB': 17, 'NA': 20, 'I': 23, 'angle': 109.47, 'blen': 1.01, 'charge': 0.294, 'type': 'H3'}, 'impropTors': [['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O']], 'HZ1': {'torsion': 60.0, 'tree': 'E', 'NC': 14, 'NB': 17, 'NA': 20, 'I': 21, 'angle': 109.47, 'blen': 1.01, 'charge': 0.294, 'type': 'H3'}, 'NZ': {'torsion': 180.0, 'tree': '3', 'NC': 11, 'NB': 14, 'NA': 17, 'I': 20, 'angle': 109.47, 'blen': 1.47, 'charge': -0.138, 'type': 'N3'}, 'O': {'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 24, 'I': 25, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'INTX,KFORM': ['INT', '1'], 'HG3': {'torsion': 60.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 13, 'angle': 109.5, 'blen': 1.09, 'charge': 0.116, 'type': 'HC'}, 'HG2': {'torsion': 300.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 109.5, 'blen': 1.09, 'charge': 0.116, 'type': 'HC'}, 'N': {'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'}, 'IFIXC,IOMIT,ISYMDU,IPOS': ['CORR', 'OMIT', 'DU', 'BEG'], 'HE3': {'torsion': 60.0, 'tree': 'E', 'NC': 11, 'NB': 14, 'NA': 17, 'I': 19, 'angle': 109.5, 'blen': 1.09, 'charge': 0.098, 'type': 'HC'}, 'HE2': {'torsion': 300.0, 'tree': 'E', 'NC': 11, 'NB': 14, 'NA': 17, 'I': 18, 'angle': 109.5, 'blen': 1.09, 'charge': 0.098, 'type': 'HC'}, 'HD2': {'torsion': 300.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 14, 'I': 15, 'angle': 109.5, 'blen': 1.09, 'charge': 0.122, 'type': 'HC'}, 'HD3': {'torsion': 60.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 14, 'I': 16, 'angle': 109.5, 'blen': 1.09, 'charge': 0.122, 'type': 'HC'}, 'NAMRES': 'LYSINE COO- ANION', 'atNameList': ['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'HG2', 'HG3', 'CD', 'HD2', 'HD3', 'CE', 'HE2', 'HE3', 'NZ', 'HZ1', 'HZ2', 'HZ3', 'C', 'O', 'OXT'], 'DUMM': [['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']], 'HA': {'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'}, 'H': {'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'}, 'CD': {'torsion': 180.0, 'tree': '3', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 14, 'angle': 109.47, 'blen': 1.525, 'charge': -0.18, 'type': 'CT'}, 'CE': {'torsion': 180.0, 'tree': '3', 'NC': 8, 'NB': 11, 'NA': 14, 'I': 17, 'angle': 109.47, 'blen': 1.525, 'charge': -0.038, 'type': 'CT'}, 'CG': {'torsion': 180.0, 'tree': '3', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 109.47, 'blen': 1.525, 'charge': -0.16, 'type': 'CT'}, 'CA': {'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'}, 'CB': {'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.098, 'type': 'CT'}, 'OXT': {'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 24, 'I': 26, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'CUT': ['0.00000'], 'C': {'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 24, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'}}, 'NAMDBF': 'db4.dat', 'SER': {'HB2': {'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.119, 'type': 'HC'}, 'HB3': {'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.119, 'type': 'HC'}, 'HG': {'torsion': 180.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 109.47, 'blen': 0.96, 'charge': 0.31, 'type': 'HO'}, 'atNameList': ['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'OG', 'HG', 'C', 'O', 'OXT'], 'DUMM': [['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']], 'O': {'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 13, 'I': 14, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'CB': {'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': 0.018, 'type': 'CT'}, 'impropTors': [['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O']], 'OG': {'torsion': 180.0, 'tree': 'S', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 109.47, 'blen': 1.43, 'charge': -0.55, 'type': 'OH'}, 'HA': {'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'}, 'N': {'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'}, 'INTX,KFORM': ['INT', '1'], 'CA': {'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'}, 'H': {'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'}, 'IFIXC,IOMIT,ISYMDU,IPOS': ['CORR', 'OMIT', 'DU', 'BEG'], 'CUT': ['0.00000'], 'C': {'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 13, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'}, 'OXT': {'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 13, 'I': 15, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'NAMRES': 'SERINE COO- ANION'}, 'ASP': {'HB2': {'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.071, 'type': 'HC'}, 'HB3': {'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.071, 'type': 'HC'}, 'atNameList': ['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'OD1', 'OD2', 'C', 'O', 'OXT'], 'DUMM': [['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']], 'O': {'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 14, 'I': 15, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'CB': {'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.398, 'type': 'CT'}, 'impropTors': [['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O'], ['CB', 'OD1', 'CG', 'OD2']], 'HA': {'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'}, 'N': {'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'}, 'INTX,KFORM': ['INT', '1'], 'CG': {'torsion': 180.0, 'tree': 'B', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 109.47, 'blen': 1.527, 'charge': 0.714, 'type': 'C'}, 'CA': {'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'}, 'H': {'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'}, 'IFIXC,IOMIT,ISYMDU,IPOS': ['CORR', 'OMIT', 'DU', 'BEG'], 'OD2': {'torsion': 270.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 13, 'angle': 117.2, 'blen': 1.26, 'charge': -0.721, 'type': 'O2'}, 'OD1': {'torsion': 90.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 117.2, 'blen': 1.26, 'charge': -0.721, 'type': 'O2'}, 'CUT': ['0.00000'], 'C': {'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 14, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'}, 'OXT': {'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 14, 'I': 16, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'NAMRES': 'ASPARTIC ACID COO- ANION'}, 'GLN': {'HB2': {'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'}, 'HB3': {'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'}, 'NE2': {'torsion': 180.0, 'tree': 'B', 'NC': 8, 'NB': 11, 'NA': 14, 'I': 16, 'angle': 116.6, 'blen': 1.335, 'charge': -0.867, 'type': 'N'}, 'impropTors': [['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O'], ['CG', 'NE2', 'CD', 'OE1'], ['CD', 'HE21', 'NE2', 'HE22']], 'INTX,KFORM': ['INT', '1'], 'HG3': {'torsion': 60.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 13, 'angle': 109.5, 'blen': 1.09, 'charge': 0.057, 'type': 'HC'}, 'HG2': {'torsion': 300.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 109.5, 'blen': 1.09, 'charge': 0.057, 'type': 'HC'}, 'N': {'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'}, 'IFIXC,IOMIT,ISYMDU,IPOS': ['CORR', 'OMIT', 'DU', 'BEG'], 'CA': {'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'}, 'NAMRES': 'GLUTAMINE COO- ANION', 'atNameList': ['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'HG2', 'HG3', 'CD', 'OE1', 'NE2', 'HE21', 'HE22', 'C', 'O', 'OXT'], 'DUMM': [['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']], 'HE21': {'torsion': 180.0, 'tree': 'E', 'NC': 11, 'NB': 14, 'NA': 16, 'I': 17, 'angle': 119.8, 'blen': 1.01, 'charge': 0.344, 'type': 'H'}, 'HE22': {'torsion': 0.0, 'tree': 'E', 'NC': 11, 'NB': 14, 'NA': 16, 'I': 18, 'angle': 119.8, 'blen': 1.01, 'charge': 0.344, 'type': 'H'}, 'HA': {'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'}, 'H': {'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'}, 'CD': {'torsion': 180.0, 'tree': 'B', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 14, 'angle': 111.1, 'blen': 1.522, 'charge': 0.675, 'type': 'C'}, 'O': {'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 19, 'I': 20, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'CG': {'torsion': 180.0, 'tree': '3', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 109.47, 'blen': 1.525, 'charge': -0.102, 'type': 'CT'}, 'OE1': {'torsion': 0.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 14, 'I': 15, 'angle': 120.5, 'blen': 1.229, 'charge': -0.47, 'type': 'O'}, 'CB': {'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.098, 'type': 'CT'}, 'OXT': {'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 19, 'I': 21, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'CUT': ['0.00000'], 'C': {'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 19, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'}}, 'GLU': {'HB2': {'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.092, 'type': 'HC'}, 'HB3': {'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.092, 'type': 'HC'}, 'impropTors': [['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O'], ['CG', 'OE1', 'CD', 'OE2']], 'INTX,KFORM': ['INT', '1'], 'HG3': {'torsion': 60.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 13, 'angle': 109.5, 'blen': 1.09, 'charge': 0.071, 'type': 'HC'}, 'HG2': {'torsion': 300.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 109.5, 'blen': 1.09, 'charge': 0.071, 'type': 'HC'}, 'N': {'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'}, 'IFIXC,IOMIT,ISYMDU,IPOS': ['CORR', 'OMIT', 'DU', 'BEG'], 'CA': {'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'}, 'OE2': {'torsion': 270.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 14, 'I': 16, 'angle': 117.2, 'blen': 1.26, 'charge': -0.721, 'type': 'O2'}, 'NAMRES': 'GLUTAMIC ACID COO- ANION', 'atNameList': ['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'HG2', 'HG3', 'CD', 'OE1', 'OE2', 'C', 'O', 'OXT'], 'DUMM': [['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']], 'HA': {'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'}, 'H': {'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'}, 'CD': {'torsion': 180.0, 'tree': 'B', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 14, 'angle': 109.47, 'blen': 1.527, 'charge': 0.714, 'type': 'C'}, 'O': {'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 17, 'I': 18, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'CG': {'torsion': 180.0, 'tree': '3', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 109.47, 'blen': 1.51, 'charge': -0.398, 'type': 'CT'}, 'OE1': {'torsion': 90.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 14, 'I': 15, 'angle': 117.2, 'blen': 1.26, 'charge': -0.721, 'type': 'O2'}, 'CB': {'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.184, 'type': 'CT'}, 'OXT': {'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 17, 'I': 19, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'CUT': ['0.00000'], 'C': {'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 17, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'}}, 'TRP': {'HB2': {'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'}, 'HB3': {'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.038, 'type': 'HC'}, 'OXT': {'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 26, 'I': 28, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'HZ2': {'torsion': 0.0, 'tree': 'E', 'NC': 14, 'NB': 16, 'NA': 17, 'I': 18, 'angle': 120.0, 'blen': 1.09, 'charge': 0.084, 'type': 'HC'}, 'HZ3': {'torsion': 180.0, 'tree': 'E', 'NC': 17, 'NB': 19, 'NA': 21, 'I': 22, 'angle': 120.0, 'blen': 1.09, 'charge': 0.057, 'type': 'HC'}, 'impropTors': [['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O'], ['CD1', 'CE2', 'NE1', 'HE1'], ['CE2', 'CH2', 'CZ2', 'HZ2'], ['CZ2', 'CZ3', 'CH2', 'HH2'], ['CH2', 'CE3', 'CZ3', 'HZ3'], ['CZ3', 'CD2', 'CE3', 'HE3']], 'CH2': {'torsion': 180.0, 'tree': 'B', 'NC': 14, 'NB': 16, 'NA': 17, 'I': 19, 'angle': 116.0, 'blen': 1.39, 'charge': -0.077, 'type': 'CA'}, 'CZ3': {'torsion': 0.0, 'tree': 'B', 'NC': 16, 'NB': 17, 'NA': 19, 'I': 21, 'angle': 121.0, 'blen': 1.35, 'charge': -0.066, 'type': 'CA'}, 'NE1': {'torsion': 180.0, 'tree': 'B', 'NC': 8, 'NB': 11, 'NA': 12, 'I': 14, 'angle': 107.0, 'blen': 1.43, 'charge': -0.352, 'type': 'NA'}, 'INTX,KFORM': ['INT', '1'], 'IFIXC,IOMIT,ISYMDU,IPOS': ['CORR', 'OMIT', 'DU', 'BEG'], 'HE3': {'torsion': 180.0, 'tree': 'E', 'NC': 19, 'NB': 21, 'NA': 23, 'I': 24, 'angle': 120.0, 'blen': 1.09, 'charge': 0.086, 'type': 'HC'}, 'HD1': {'torsion': 0.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 12, 'I': 13, 'angle': 120.0, 'blen': 1.09, 'charge': 0.093, 'type': 'HC'}, 'HE1': {'torsion': 180.0, 'tree': 'E', 'NC': 11, 'NB': 12, 'NA': 14, 'I': 15, 'angle': 125.5, 'blen': 1.01, 'charge': 0.271, 'type': 'H'}, 'NAMRES': 'TRYPTOPHAN COO- ANION', 'CD1': {'torsion': 180.0, 'tree': 'B', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 127.0, 'blen': 1.34, 'charge': 0.044, 'type': 'CW'}, 'atNameList': ['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'CD1', 'HD1', 'NE1', 'HE1', 'CE2', 'CZ2', 'HZ2', 'CH2', 'HH2', 'CZ3', 'HZ3', 'CE3', 'HE3', 'CD2', 'C', 'O', 'OXT'], 'DUMM': [['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']], 'CD2': {'torsion': 0.0, 'tree': 'E', 'NC': 19, 'NB': 21, 'NA': 23, 'I': 25, 'angle': 117.0, 'blen': 1.4, 'charge': 0.146, 'type': 'CB'}, 'CE2': {'torsion': 0.0, 'tree': 'S', 'NC': 11, 'NB': 12, 'NA': 14, 'I': 16, 'angle': 109.0, 'blen': 1.31, 'charge': 0.154, 'type': 'CN'}, 'CE3': {'torsion': 0.0, 'tree': 'B', 'NC': 17, 'NB': 19, 'NA': 21, 'I': 23, 'angle': 122.0, 'blen': 1.41, 'charge': -0.173, 'type': 'CA'}, 'HA': {'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'}, 'H': {'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'}, 'N': {'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'}, 'O': {'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 26, 'I': 27, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'CG': {'torsion': 180.0, 'tree': 'S', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 115.0, 'blen': 1.51, 'charge': -0.135, 'type': 'C*'}, 'CA': {'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'}, 'CB': {'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.098, 'type': 'CT'}, 'CZ2': {'torsion': 180.0, 'tree': 'B', 'NC': 12, 'NB': 14, 'NA': 16, 'I': 17, 'angle': 128.0, 'blen': 1.4, 'charge': -0.168, 'type': 'CA'}, 'loopList': [['CG', 'CD2'], ['CE2', 'CD2']], 'CUT': ['0.00000'], 'C': {'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 26, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'}, 'HH2': {'torsion': 180.0, 'tree': 'E', 'NC': 16, 'NB': 17, 'NA': 19, 'I': 20, 'angle': 120.0, 'blen': 1.09, 'charge': 0.074, 'type': 'HC'}}, 'GLY': {'HA3': {'torsion': 60.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 109.5, 'blen': 1.09, 'charge': 0.032, 'type': 'HC'}, 'atNameList': ['N', 'H', 'CA', 'HA2', 'HA3', 'C', 'O', 'OXT'], 'DUMM': [['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']], 'HA2': {'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.032, 'type': 'HC'}, 'O': {'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 9, 'I': 10, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'impropTors': [['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O']], 'N': {'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'}, 'INTX,KFORM': ['INT', '1'], 'CA': {'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'}, 'H': {'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'}, 'IFIXC,IOMIT,ISYMDU,IPOS': ['CORR', 'OMIT', 'DU', 'BEG'], 'CUT': ['0.00000'], 'C': {'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 9, 'angle': 110.4, 'blen': 1.522, 'charge': 0.524, 'type': 'C'}, 'OXT': {'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 9, 'I': 11, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'NAMRES': 'GLYCINE COO- ANION'}, 'THR': {'atNameList': ['N', 'H', 'CA', 'HA', 'CB', 'HB', 'CG2', 'HG21', 'HG22', 'HG23', 'OG1', 'HG1', 'C', 'O', 'OXT'], 'DUMM': [['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']], 'HG23': {'torsion': 300.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 10, 'I': 13, 'angle': 109.5, 'blen': 1.09, 'charge': 0.065, 'type': 'HC'}, 'HB': {'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.082, 'type': 'HC'}, 'HG22': {'torsion': 180.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 10, 'I': 12, 'angle': 109.5, 'blen': 1.09, 'charge': 0.065, 'type': 'HC'}, 'CB': {'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': 0.17, 'type': 'CT'}, 'HG1': {'torsion': 180.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 14, 'I': 15, 'angle': 109.47, 'blen': 0.96, 'charge': 0.31, 'type': 'HO'}, 'HA': {'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'}, 'impropTors': [['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O']], 'HG21': {'torsion': 60.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 10, 'I': 11, 'angle': 109.5, 'blen': 1.09, 'charge': 0.065, 'type': 'HC'}, 'N': {'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'}, 'INTX,KFORM': ['INT', '1'], 'OG1': {'torsion': 60.0, 'tree': 'S', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 14, 'angle': 109.47, 'blen': 1.43, 'charge': -0.55, 'type': 'OH'}, 'CG2': {'torsion': 300.0, 'tree': '3', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.47, 'blen': 1.525, 'charge': -0.191, 'type': 'CT'}, 'CA': {'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'}, 'H': {'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'}, 'IFIXC,IOMIT,ISYMDU,IPOS': ['CORR', 'OMIT', 'DU', 'BEG'], 'O': {'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 16, 'I': 17, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'CUT': ['0.00000'], 'C': {'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 16, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'}, 'OXT': {'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 16, 'I': 18, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'NAMRES': 'THREONINE COO- ANION'}, 'HIP': {'HB2': {'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.086, 'type': 'HC'}, 'HB3': {'torsion': 60.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.5, 'blen': 1.09, 'charge': 0.086, 'type': 'HC'}, 'NE2': {'torsion': 0.0, 'tree': 'B', 'NC': 11, 'NB': 12, 'NA': 14, 'I': 16, 'angle': 109.0, 'blen': 1.31, 'charge': -0.058, 'type': 'NA'}, 'ND1': {'torsion': 180.0, 'tree': 'B', 'NC': 6, 'NB': 8, 'NA': 11, 'I': 12, 'angle': 122.0, 'blen': 1.39, 'charge': -0.058, 'type': 'NA'}, 'impropTors': [['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O'], ['CG', 'CE1', 'ND1', 'HD1'], ['CE1', 'CD2', 'NE2', 'HE2']], 'CE1': {'torsion': 180.0, 'tree': 'B', 'NC': 8, 'NB': 11, 'NA': 12, 'I': 14, 'angle': 108.0, 'blen': 1.32, 'charge': 0.114, 'type': 'CR'}, 'INTX,KFORM': ['INT', '1'], 'IFIXC,IOMIT,ISYMDU,IPOS': ['CORR', 'OMIT', 'DU', 'BEG'], 'HD1': {'torsion': 0.0, 'tree': 'E', 'NC': 8, 'NB': 11, 'NA': 12, 'I': 13, 'angle': 126.0, 'blen': 1.01, 'charge': 0.306, 'type': 'H'}, 'HE2': {'torsion': 180.0, 'tree': 'E', 'NC': 12, 'NB': 14, 'NA': 16, 'I': 17, 'angle': 125.0, 'blen': 1.01, 'charge': 0.306, 'type': 'H'}, 'NAMRES': 'HISTIDINE PLUS COO-', 'HE': {'torsion': 180.0, 'tree': 'E', 'NC': 11, 'NB': 12, 'NA': 14, 'I': 15, 'angle': 120.0, 'blen': 1.09, 'charge': 0.158, 'type': 'HC'}, 'HD': {'torsion': 180.0, 'tree': 'E', 'NC': 14, 'NB': 16, 'NA': 18, 'I': 19, 'angle': 120.0, 'blen': 1.09, 'charge': 0.153, 'type': 'HC'}, 'atNameList': ['N', 'H', 'CA', 'HA', 'CB', 'HB2', 'HB3', 'CG', 'ND1', 'HD1', 'CE1', 'HE', 'NE2', 'HE2', 'CD2', 'HD', 'C', 'O', 'OXT'], 'DUMM': [['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']], 'CD2': {'torsion': 0.0, 'tree': 'S', 'NC': 12, 'NB': 14, 'NA': 16, 'I': 18, 'angle': 110.0, 'blen': 1.36, 'charge': -0.037, 'type': 'CW'}, 'HA': {'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'}, 'H': {'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'}, 'N': {'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'}, 'O': {'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 20, 'I': 21, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'CG': {'torsion': 180.0, 'tree': 'S', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 11, 'angle': 115.0, 'blen': 1.51, 'charge': 0.058, 'type': 'CC'}, 'CA': {'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'}, 'CB': {'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.098, 'type': 'CT'}, 'OXT': {'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 20, 'I': 22, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'loopList': [['CG', 'CD2']], 'CUT': ['0.00000'], 'C': {'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 20, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'}}, 'VAL': {'HG22': {'torsion': 180.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 14, 'I': 16, 'angle': 109.5, 'blen': 1.09, 'charge': 0.031, 'type': 'HC'}, 'HG23': {'torsion': 300.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 14, 'I': 17, 'angle': 109.5, 'blen': 1.09, 'charge': 0.031, 'type': 'HC'}, 'HG21': {'torsion': 60.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 14, 'I': 15, 'angle': 109.5, 'blen': 1.09, 'charge': 0.031, 'type': 'HC'}, 'impropTors': [['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O']], 'HG13': {'torsion': 300.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 10, 'I': 13, 'angle': 109.5, 'blen': 1.09, 'charge': 0.031, 'type': 'HC'}, 'HG12': {'torsion': 180.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 10, 'I': 12, 'angle': 109.5, 'blen': 1.09, 'charge': 0.031, 'type': 'HC'}, 'HG11': {'torsion': 60.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 10, 'I': 11, 'angle': 109.5, 'blen': 1.09, 'charge': 0.031, 'type': 'HC'}, 'INTX,KFORM': ['INT', '1'], 'CG2': {'torsion': 180.0, 'tree': '3', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 14, 'angle': 109.47, 'blen': 1.525, 'charge': -0.091, 'type': 'CT'}, 'IFIXC,IOMIT,ISYMDU,IPOS': ['CORR', 'OMIT', 'DU', 'BEG'], 'CG1': {'torsion': 60.0, 'tree': '3', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.47, 'blen': 1.525, 'charge': -0.091, 'type': 'CT'}, 'NAMRES': 'VALINE COO- ANION', 'atNameList': ['N', 'H', 'CA', 'HA', 'CB', 'HB', 'CG1', 'HG11', 'HG12', 'HG13', 'CG2', 'HG21', 'HG22', 'HG23', 'C', 'O', 'OXT'], 'DUMM': [['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']], 'HB': {'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.024, 'type': 'HC'}, 'HA': {'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'}, 'N': {'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'}, 'O': {'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 18, 'I': 19, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'H': {'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'}, 'CA': {'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'}, 'CB': {'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 111.1, 'blen': 1.525, 'charge': -0.012, 'type': 'CT'}, 'OXT': {'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 18, 'I': 20, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'CUT': ['0.00000'], 'C': {'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 18, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'}}, 'ILE': {'HG22': {'torsion': 180.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 10, 'I': 12, 'angle': 109.5, 'blen': 1.09, 'charge': 0.029, 'type': 'HC'}, 'HG23': {'torsion': 300.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 10, 'I': 13, 'angle': 109.5, 'blen': 1.09, 'charge': 0.029, 'type': 'HC'}, 'HG21': {'torsion': 60.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 10, 'I': 11, 'angle': 109.5, 'blen': 1.09, 'charge': 0.029, 'type': 'HC'}, 'HD13': {'torsion': 300.0, 'tree': 'E', 'NC': 8, 'NB': 14, 'NA': 17, 'I': 20, 'angle': 109.5, 'blen': 1.09, 'charge': 0.028, 'type': 'HC'}, 'HG13': {'torsion': 60.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 14, 'I': 16, 'angle': 109.5, 'blen': 1.09, 'charge': 0.027, 'type': 'HC'}, 'HG12': {'torsion': 300.0, 'tree': 'E', 'NC': 6, 'NB': 8, 'NA': 14, 'I': 15, 'angle': 109.5, 'blen': 1.09, 'charge': 0.027, 'type': 'HC'}, 'INTX,KFORM': ['INT', '1'], 'CG2': {'torsion': 60.0, 'tree': '3', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 10, 'angle': 109.47, 'blen': 1.525, 'charge': -0.085, 'type': 'CT'}, 'IFIXC,IOMIT,ISYMDU,IPOS': ['CORR', 'OMIT', 'DU', 'BEG'], 'CG1': {'torsion': 180.0, 'tree': '3', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 14, 'angle': 109.47, 'blen': 1.525, 'charge': -0.049, 'type': 'CT'}, 'NAMRES': 'ISOLEUCINE COO- ANION', 'atNameList': ['N', 'H', 'CA', 'HA', 'CB', 'HB', 'CG2', 'HG21', 'HG22', 'HG23', 'CG1', 'HG12', 'HG13', 'CD1', 'HD11', 'HD12', 'HD13', 'C', 'O', 'OXT'], 'DUMM': [['1', 'DUMM', 'DU', 'M', '0', '-1', '-2', '0.000', '0.000', '0.000', '0.00000'], ['2', 'DUMM', 'DU', 'M', '1', '0', '-1', '1.449', '0.000', '0.000', '0.00000'], ['3', 'DUMM', 'DU', 'M', '2', '1', '0', '1.522', '111.100', '0.000', '0.00000']], 'HD11': {'torsion': 60.0, 'tree': 'E', 'NC': 8, 'NB': 14, 'NA': 17, 'I': 18, 'angle': 109.5, 'blen': 1.09, 'charge': 0.028, 'type': 'HC'}, 'HD12': {'torsion': 180.0, 'tree': 'E', 'NC': 8, 'NB': 14, 'NA': 17, 'I': 19, 'angle': 109.5, 'blen': 1.09, 'charge': 0.028, 'type': 'HC'}, 'HB': {'torsion': 300.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 8, 'I': 9, 'angle': 109.5, 'blen': 1.09, 'charge': 0.022, 'type': 'HC'}, 'CD1': {'torsion': 180.0, 'tree': '3', 'NC': 6, 'NB': 8, 'NA': 14, 'I': 17, 'angle': 109.47, 'blen': 1.525, 'charge': -0.085, 'type': 'CT'}, 'HA': {'torsion': 300.0, 'tree': 'E', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 7, 'angle': 109.5, 'blen': 1.09, 'charge': 0.048, 'type': 'HC'}, 'N': {'torsion': 180.0, 'tree': 'M', 'NC': 1, 'NB': 2, 'NA': 3, 'I': 4, 'angle': 116.6, 'blen': 1.335, 'charge': -0.463, 'type': 'N'}, 'O': {'torsion': 0.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 21, 'I': 22, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'H': {'torsion': 0.0, 'tree': 'E', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 5, 'angle': 119.8, 'blen': 1.01, 'charge': 0.252, 'type': 'H'}, 'CA': {'torsion': 180.0, 'tree': 'M', 'NC': 2, 'NB': 3, 'NA': 4, 'I': 6, 'angle': 121.9, 'blen': 1.449, 'charge': 0.035, 'type': 'CT'}, 'CB': {'torsion': 60.0, 'tree': '3', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 8, 'angle': 109.47, 'blen': 1.525, 'charge': -0.012, 'type': 'CT'}, 'OXT': {'torsion': 180.0, 'tree': 'E', 'NC': 4, 'NB': 6, 'NA': 21, 'I': 23, 'angle': 120.5, 'blen': 1.229, 'charge': -0.706, 'type': 'O2'}, 'CUT': ['0.00000'], 'C': {'torsion': 180.0, 'tree': 'M', 'NC': 3, 'NB': 4, 'NA': 6, 'I': 21, 'angle': 111.1, 'blen': 1.522, 'charge': 0.524, 'type': 'C'}, 'impropTors': [['-M', 'CA', 'N', 'H'], ['CA', 'OXT', 'C', 'O']]}, 'filename': 'allct.in'} |
def kelime_sayisi(string):
counter = 1
for i in range(0,len(string)):
if string[i] == ' ':
counter += 1
return counter
cumle = input("Cumlenizi giriniz : ")
print("Cumlenizdeki kelime sayisi = {}".format(kelime_sayisi(cumle))) | def kelime_sayisi(string):
counter = 1
for i in range(0, len(string)):
if string[i] == ' ':
counter += 1
return counter
cumle = input('Cumlenizi giriniz : ')
print('Cumlenizdeki kelime sayisi = {}'.format(kelime_sayisi(cumle))) |
class Solution:
def paintHouse(self, cost:list, houses:int, colors:int)->int:
if houses == 0: # no houses to paint
return 0
if colors == 0: # no colors to paint houses
return 0
dp = [[0]*colors for _ in range(houses)]
dp[0] = cost[0]
for i in range(1, houses):
MINCOST = 1000000007
for j in range(colors):
for k in range(colors):
if j != k:
MINCOST = min(MINCOST, dp[i-1][k])
dp[i][j] = cost[i][j] + MINCOST
return min(dp[n-1])
if __name__ == "__main__":
cost = [[1, 5, 7, 2, 1, 4],
[5, 8, 4, 3, 6, 1],
[3, 2, 9, 7, 2, 3],
[1, 2, 4, 9, 1, 7]]
n, k = len(cost), len(cost[0])
print(Solution().paintHouse(cost, n, k)) | class Solution:
def paint_house(self, cost: list, houses: int, colors: int) -> int:
if houses == 0:
return 0
if colors == 0:
return 0
dp = [[0] * colors for _ in range(houses)]
dp[0] = cost[0]
for i in range(1, houses):
mincost = 1000000007
for j in range(colors):
for k in range(colors):
if j != k:
mincost = min(MINCOST, dp[i - 1][k])
dp[i][j] = cost[i][j] + MINCOST
return min(dp[n - 1])
if __name__ == '__main__':
cost = [[1, 5, 7, 2, 1, 4], [5, 8, 4, 3, 6, 1], [3, 2, 9, 7, 2, 3], [1, 2, 4, 9, 1, 7]]
(n, k) = (len(cost), len(cost[0]))
print(solution().paintHouse(cost, n, k)) |
'''
Created on Dec 21, 2014
@author: Ben
'''
def create_new_default(directory: str, dest: dict, param: dict):
'''
Creates new default parameter file based on parameter settings
'''
with open(directory, 'w') as new_default:
new_default.write(
'''TARGET DESTINATION = {}
SAVE DESTINATION = {}
SAVE DESTINATION2 = {}
SAVE STARTUP DEST1 = {}
SAVE STARTUP DEST2 = {}
SAVE TYPE DEST1 = {}
SAVE TYPE DEST2 = {}
'''.format(dest['target'], dest['save'], dest['save2'],
param["dest1_save_on_start"], param["dest2_save_on_start"],
param["save_dest1"], param["save_dest2"])
)
| """
Created on Dec 21, 2014
@author: Ben
"""
def create_new_default(directory: str, dest: dict, param: dict):
"""
Creates new default parameter file based on parameter settings
"""
with open(directory, 'w') as new_default:
new_default.write('TARGET DESTINATION = {} \nSAVE DESTINATION = {}\nSAVE DESTINATION2 = {}\n\nSAVE STARTUP DEST1 = {}\nSAVE STARTUP DEST2 = {}\n\nSAVE TYPE DEST1 = {}\nSAVE TYPE DEST2 = {}\n'.format(dest['target'], dest['save'], dest['save2'], param['dest1_save_on_start'], param['dest2_save_on_start'], param['save_dest1'], param['save_dest2'])) |
def grayscale(image):
for row in range(image.shape[0]):
for col in range(image.shape[1]):
avg = sum(image[row][col][i] for i in range(3)) // 3
image[row][col] = [avg for _ in range(3)]
| def grayscale(image):
for row in range(image.shape[0]):
for col in range(image.shape[1]):
avg = sum((image[row][col][i] for i in range(3))) // 3
image[row][col] = [avg for _ in range(3)] |
def get_cross_sum(n):
start = 1
total = 1
for i in range(1, n):
step = i * 2
start = start + step
total += start * 4 + step * 6
start = start + step * 3
return total
print(get_cross_sum(501)) | def get_cross_sum(n):
start = 1
total = 1
for i in range(1, n):
step = i * 2
start = start + step
total += start * 4 + step * 6
start = start + step * 3
return total
print(get_cross_sum(501)) |
class Analyser:
def __init__(self, callbacks, notifiers, state):
self.cbs = callbacks
self.state = state
self.notifiers = notifiers
def on_begin_analyse(self, timestamp):
pass
def on_end_analyse(self, timestamp):
pass
def analyse(self, event):
event_name = event.name
# for 'perf' tool
split_event_name = event.name.split(':')
if len(split_event_name) > 1:
event_name = split_event_name[1].strip()
if event_name in self.cbs:
self.cbs[event_name](event)
elif (event_name.startswith('sys_enter') or \
event_name.startswith('syscall_entry_')) and \
'syscall_entry' in self.cbs:
self.cbs['syscall_entry'](event)
elif (event_name.startswith('sys_exit') or \
event_name.startswith('syscall_exit_')) and \
'syscall_exit' in self.cbs:
self.cbs['syscall_exit'](event)
def notify(self, notification_id, **kwargs):
if notification_id in self.notifiers:
self.notifiers[notification_id](**kwargs)
| class Analyser:
def __init__(self, callbacks, notifiers, state):
self.cbs = callbacks
self.state = state
self.notifiers = notifiers
def on_begin_analyse(self, timestamp):
pass
def on_end_analyse(self, timestamp):
pass
def analyse(self, event):
event_name = event.name
split_event_name = event.name.split(':')
if len(split_event_name) > 1:
event_name = split_event_name[1].strip()
if event_name in self.cbs:
self.cbs[event_name](event)
elif (event_name.startswith('sys_enter') or event_name.startswith('syscall_entry_')) and 'syscall_entry' in self.cbs:
self.cbs['syscall_entry'](event)
elif (event_name.startswith('sys_exit') or event_name.startswith('syscall_exit_')) and 'syscall_exit' in self.cbs:
self.cbs['syscall_exit'](event)
def notify(self, notification_id, **kwargs):
if notification_id in self.notifiers:
self.notifiers[notification_id](**kwargs) |
GOV_AIRPORTS = {
"Antananarivo/Ivato": "big",
"Antsiranana/Diego": "small",
"Fianarantsoa": "small",
"Tolagnaro/Ft. Dauphin": "small",
"Mahajanga": "medium",
"Mananjary": "small",
"Nosy Be": "medium",
"Morondava": "small",
"Sainte Marie": "small",
"Sambava": "small",
"Toamasina": "small",
"Toliary": "small",
}
| gov_airports = {'Antananarivo/Ivato': 'big', 'Antsiranana/Diego': 'small', 'Fianarantsoa': 'small', 'Tolagnaro/Ft. Dauphin': 'small', 'Mahajanga': 'medium', 'Mananjary': 'small', 'Nosy Be': 'medium', 'Morondava': 'small', 'Sainte Marie': 'small', 'Sambava': 'small', 'Toamasina': 'small', 'Toliary': 'small'} |
def fibonacci(n):
fibonacci = np.zeros(10, dtype=np.int32)
fibonacci_pow = np.zeros(10, dtype=np.int32)
fibonacci[0] = 0
fibonacci[1] = 1
for i in np.arange(2, 10):
fibonacci[i] = fibonacci[i - 1] + fibonacci[i - 2]
fibonacci[i] = int(fibonacci[i])
print(fibonacci)
for i in np.arange(10):
fibonacci_pow[i] = np.power(int(fibonacci[i]), int(n))
print(fibonacci_pow)
print(np.vstack((fibonacci, fibonacci_pow)))
np.savetxt("myfibonaccis.txt", np.hstack((fibonacci, fibonacci_pow)), fmt="%u")
def main(n):
fibonacci(n)
if __name__ == "__main__":
INPUT = sys.argv[1]
print(INPUT)
main(INPUT) | def fibonacci(n):
fibonacci = np.zeros(10, dtype=np.int32)
fibonacci_pow = np.zeros(10, dtype=np.int32)
fibonacci[0] = 0
fibonacci[1] = 1
for i in np.arange(2, 10):
fibonacci[i] = fibonacci[i - 1] + fibonacci[i - 2]
fibonacci[i] = int(fibonacci[i])
print(fibonacci)
for i in np.arange(10):
fibonacci_pow[i] = np.power(int(fibonacci[i]), int(n))
print(fibonacci_pow)
print(np.vstack((fibonacci, fibonacci_pow)))
np.savetxt('myfibonaccis.txt', np.hstack((fibonacci, fibonacci_pow)), fmt='%u')
def main(n):
fibonacci(n)
if __name__ == '__main__':
input = sys.argv[1]
print(INPUT)
main(INPUT) |
def split_in_three(data_real, data_fake):
min_v = min(data_fake.min(), data_real.min())
max_v = max(data_fake.max(), data_real.max())
tercio = (max_v - min_v) / 3
# Calculate 1/3
th_one = min_v + tercio
# Calculate 2/3
th_two = max_v - tercio
first_f, second_f, third_f = split_data(th_one, th_two, data_fake)
first_r, second_r, third_r = split_data(th_one, th_two, data_real)
total_f = len(data_fake)
fake = [first_f/total_f, second_f/total_f, third_f/total_f]
total_r = len(data_real)
real = [first_r/total_r, second_r/total_r, third_r/total_r]
return fake, real
def split_data(th_one, th_two, data):
first = 0
second = 0
third = 0
for i in data:
if i <= th_one:
third += 1
elif i >= th_two:
first += 1
else:
second +=1
return first, second, third | def split_in_three(data_real, data_fake):
min_v = min(data_fake.min(), data_real.min())
max_v = max(data_fake.max(), data_real.max())
tercio = (max_v - min_v) / 3
th_one = min_v + tercio
th_two = max_v - tercio
(first_f, second_f, third_f) = split_data(th_one, th_two, data_fake)
(first_r, second_r, third_r) = split_data(th_one, th_two, data_real)
total_f = len(data_fake)
fake = [first_f / total_f, second_f / total_f, third_f / total_f]
total_r = len(data_real)
real = [first_r / total_r, second_r / total_r, third_r / total_r]
return (fake, real)
def split_data(th_one, th_two, data):
first = 0
second = 0
third = 0
for i in data:
if i <= th_one:
third += 1
elif i >= th_two:
first += 1
else:
second += 1
return (first, second, third) |
data = (
'Mie ', # 0x00
'Xu ', # 0x01
'Mang ', # 0x02
'Chi ', # 0x03
'Ge ', # 0x04
'Xuan ', # 0x05
'Yao ', # 0x06
'Zi ', # 0x07
'He ', # 0x08
'Ji ', # 0x09
'Diao ', # 0x0a
'Cun ', # 0x0b
'Tong ', # 0x0c
'Ming ', # 0x0d
'Hou ', # 0x0e
'Li ', # 0x0f
'Tu ', # 0x10
'Xiang ', # 0x11
'Zha ', # 0x12
'Xia ', # 0x13
'Ye ', # 0x14
'Lu ', # 0x15
'A ', # 0x16
'Ma ', # 0x17
'Ou ', # 0x18
'Xue ', # 0x19
'Yi ', # 0x1a
'Jun ', # 0x1b
'Chou ', # 0x1c
'Lin ', # 0x1d
'Tun ', # 0x1e
'Yin ', # 0x1f
'Fei ', # 0x20
'Bi ', # 0x21
'Qin ', # 0x22
'Qin ', # 0x23
'Jie ', # 0x24
'Bu ', # 0x25
'Fou ', # 0x26
'Ba ', # 0x27
'Dun ', # 0x28
'Fen ', # 0x29
'E ', # 0x2a
'Han ', # 0x2b
'Ting ', # 0x2c
'Hang ', # 0x2d
'Shun ', # 0x2e
'Qi ', # 0x2f
'Hong ', # 0x30
'Zhi ', # 0x31
'Shen ', # 0x32
'Wu ', # 0x33
'Wu ', # 0x34
'Chao ', # 0x35
'Ne ', # 0x36
'Xue ', # 0x37
'Xi ', # 0x38
'Chui ', # 0x39
'Dou ', # 0x3a
'Wen ', # 0x3b
'Hou ', # 0x3c
'Ou ', # 0x3d
'Wu ', # 0x3e
'Gao ', # 0x3f
'Ya ', # 0x40
'Jun ', # 0x41
'Lu ', # 0x42
'E ', # 0x43
'Ge ', # 0x44
'Mei ', # 0x45
'Ai ', # 0x46
'Qi ', # 0x47
'Cheng ', # 0x48
'Wu ', # 0x49
'Gao ', # 0x4a
'Fu ', # 0x4b
'Jiao ', # 0x4c
'Hong ', # 0x4d
'Chi ', # 0x4e
'Sheng ', # 0x4f
'Ne ', # 0x50
'Tun ', # 0x51
'Fu ', # 0x52
'Yi ', # 0x53
'Dai ', # 0x54
'Ou ', # 0x55
'Li ', # 0x56
'Bai ', # 0x57
'Yuan ', # 0x58
'Kuai ', # 0x59
'[?] ', # 0x5a
'Qiang ', # 0x5b
'Wu ', # 0x5c
'E ', # 0x5d
'Shi ', # 0x5e
'Quan ', # 0x5f
'Pen ', # 0x60
'Wen ', # 0x61
'Ni ', # 0x62
'M ', # 0x63
'Ling ', # 0x64
'Ran ', # 0x65
'You ', # 0x66
'Di ', # 0x67
'Zhou ', # 0x68
'Shi ', # 0x69
'Zhou ', # 0x6a
'Tie ', # 0x6b
'Xi ', # 0x6c
'Yi ', # 0x6d
'Qi ', # 0x6e
'Ping ', # 0x6f
'Zi ', # 0x70
'Gu ', # 0x71
'Zi ', # 0x72
'Wei ', # 0x73
'Xu ', # 0x74
'He ', # 0x75
'Nao ', # 0x76
'Xia ', # 0x77
'Pei ', # 0x78
'Yi ', # 0x79
'Xiao ', # 0x7a
'Shen ', # 0x7b
'Hu ', # 0x7c
'Ming ', # 0x7d
'Da ', # 0x7e
'Qu ', # 0x7f
'Ju ', # 0x80
'Gem ', # 0x81
'Za ', # 0x82
'Tuo ', # 0x83
'Duo ', # 0x84
'Pou ', # 0x85
'Pao ', # 0x86
'Bi ', # 0x87
'Fu ', # 0x88
'Yang ', # 0x89
'He ', # 0x8a
'Zha ', # 0x8b
'He ', # 0x8c
'Hai ', # 0x8d
'Jiu ', # 0x8e
'Yong ', # 0x8f
'Fu ', # 0x90
'Que ', # 0x91
'Zhou ', # 0x92
'Wa ', # 0x93
'Ka ', # 0x94
'Gu ', # 0x95
'Ka ', # 0x96
'Zuo ', # 0x97
'Bu ', # 0x98
'Long ', # 0x99
'Dong ', # 0x9a
'Ning ', # 0x9b
'Tha ', # 0x9c
'Si ', # 0x9d
'Xian ', # 0x9e
'Huo ', # 0x9f
'Qi ', # 0xa0
'Er ', # 0xa1
'E ', # 0xa2
'Guang ', # 0xa3
'Zha ', # 0xa4
'Xi ', # 0xa5
'Yi ', # 0xa6
'Lie ', # 0xa7
'Zi ', # 0xa8
'Mie ', # 0xa9
'Mi ', # 0xaa
'Zhi ', # 0xab
'Yao ', # 0xac
'Ji ', # 0xad
'Zhou ', # 0xae
'Ge ', # 0xaf
'Shuai ', # 0xb0
'Zan ', # 0xb1
'Xiao ', # 0xb2
'Ke ', # 0xb3
'Hui ', # 0xb4
'Kua ', # 0xb5
'Huai ', # 0xb6
'Tao ', # 0xb7
'Xian ', # 0xb8
'E ', # 0xb9
'Xuan ', # 0xba
'Xiu ', # 0xbb
'Wai ', # 0xbc
'Yan ', # 0xbd
'Lao ', # 0xbe
'Yi ', # 0xbf
'Ai ', # 0xc0
'Pin ', # 0xc1
'Shen ', # 0xc2
'Tong ', # 0xc3
'Hong ', # 0xc4
'Xiong ', # 0xc5
'Chi ', # 0xc6
'Wa ', # 0xc7
'Ha ', # 0xc8
'Zai ', # 0xc9
'Yu ', # 0xca
'Di ', # 0xcb
'Pai ', # 0xcc
'Xiang ', # 0xcd
'Ai ', # 0xce
'Hen ', # 0xcf
'Kuang ', # 0xd0
'Ya ', # 0xd1
'Da ', # 0xd2
'Xiao ', # 0xd3
'Bi ', # 0xd4
'Yue ', # 0xd5
'[?] ', # 0xd6
'Hua ', # 0xd7
'Sasou ', # 0xd8
'Kuai ', # 0xd9
'Duo ', # 0xda
'[?] ', # 0xdb
'Ji ', # 0xdc
'Nong ', # 0xdd
'Mou ', # 0xde
'Yo ', # 0xdf
'Hao ', # 0xe0
'Yuan ', # 0xe1
'Long ', # 0xe2
'Pou ', # 0xe3
'Mang ', # 0xe4
'Ge ', # 0xe5
'E ', # 0xe6
'Chi ', # 0xe7
'Shao ', # 0xe8
'Li ', # 0xe9
'Na ', # 0xea
'Zu ', # 0xeb
'He ', # 0xec
'Ku ', # 0xed
'Xiao ', # 0xee
'Xian ', # 0xef
'Lao ', # 0xf0
'Bo ', # 0xf1
'Zhe ', # 0xf2
'Zha ', # 0xf3
'Liang ', # 0xf4
'Ba ', # 0xf5
'Mie ', # 0xf6
'Le ', # 0xf7
'Sui ', # 0xf8
'Fou ', # 0xf9
'Bu ', # 0xfa
'Han ', # 0xfb
'Heng ', # 0xfc
'Geng ', # 0xfd
'Shuo ', # 0xfe
'Ge ', # 0xff
)
| data = ('Mie ', 'Xu ', 'Mang ', 'Chi ', 'Ge ', 'Xuan ', 'Yao ', 'Zi ', 'He ', 'Ji ', 'Diao ', 'Cun ', 'Tong ', 'Ming ', 'Hou ', 'Li ', 'Tu ', 'Xiang ', 'Zha ', 'Xia ', 'Ye ', 'Lu ', 'A ', 'Ma ', 'Ou ', 'Xue ', 'Yi ', 'Jun ', 'Chou ', 'Lin ', 'Tun ', 'Yin ', 'Fei ', 'Bi ', 'Qin ', 'Qin ', 'Jie ', 'Bu ', 'Fou ', 'Ba ', 'Dun ', 'Fen ', 'E ', 'Han ', 'Ting ', 'Hang ', 'Shun ', 'Qi ', 'Hong ', 'Zhi ', 'Shen ', 'Wu ', 'Wu ', 'Chao ', 'Ne ', 'Xue ', 'Xi ', 'Chui ', 'Dou ', 'Wen ', 'Hou ', 'Ou ', 'Wu ', 'Gao ', 'Ya ', 'Jun ', 'Lu ', 'E ', 'Ge ', 'Mei ', 'Ai ', 'Qi ', 'Cheng ', 'Wu ', 'Gao ', 'Fu ', 'Jiao ', 'Hong ', 'Chi ', 'Sheng ', 'Ne ', 'Tun ', 'Fu ', 'Yi ', 'Dai ', 'Ou ', 'Li ', 'Bai ', 'Yuan ', 'Kuai ', '[?] ', 'Qiang ', 'Wu ', 'E ', 'Shi ', 'Quan ', 'Pen ', 'Wen ', 'Ni ', 'M ', 'Ling ', 'Ran ', 'You ', 'Di ', 'Zhou ', 'Shi ', 'Zhou ', 'Tie ', 'Xi ', 'Yi ', 'Qi ', 'Ping ', 'Zi ', 'Gu ', 'Zi ', 'Wei ', 'Xu ', 'He ', 'Nao ', 'Xia ', 'Pei ', 'Yi ', 'Xiao ', 'Shen ', 'Hu ', 'Ming ', 'Da ', 'Qu ', 'Ju ', 'Gem ', 'Za ', 'Tuo ', 'Duo ', 'Pou ', 'Pao ', 'Bi ', 'Fu ', 'Yang ', 'He ', 'Zha ', 'He ', 'Hai ', 'Jiu ', 'Yong ', 'Fu ', 'Que ', 'Zhou ', 'Wa ', 'Ka ', 'Gu ', 'Ka ', 'Zuo ', 'Bu ', 'Long ', 'Dong ', 'Ning ', 'Tha ', 'Si ', 'Xian ', 'Huo ', 'Qi ', 'Er ', 'E ', 'Guang ', 'Zha ', 'Xi ', 'Yi ', 'Lie ', 'Zi ', 'Mie ', 'Mi ', 'Zhi ', 'Yao ', 'Ji ', 'Zhou ', 'Ge ', 'Shuai ', 'Zan ', 'Xiao ', 'Ke ', 'Hui ', 'Kua ', 'Huai ', 'Tao ', 'Xian ', 'E ', 'Xuan ', 'Xiu ', 'Wai ', 'Yan ', 'Lao ', 'Yi ', 'Ai ', 'Pin ', 'Shen ', 'Tong ', 'Hong ', 'Xiong ', 'Chi ', 'Wa ', 'Ha ', 'Zai ', 'Yu ', 'Di ', 'Pai ', 'Xiang ', 'Ai ', 'Hen ', 'Kuang ', 'Ya ', 'Da ', 'Xiao ', 'Bi ', 'Yue ', '[?] ', 'Hua ', 'Sasou ', 'Kuai ', 'Duo ', '[?] ', 'Ji ', 'Nong ', 'Mou ', 'Yo ', 'Hao ', 'Yuan ', 'Long ', 'Pou ', 'Mang ', 'Ge ', 'E ', 'Chi ', 'Shao ', 'Li ', 'Na ', 'Zu ', 'He ', 'Ku ', 'Xiao ', 'Xian ', 'Lao ', 'Bo ', 'Zhe ', 'Zha ', 'Liang ', 'Ba ', 'Mie ', 'Le ', 'Sui ', 'Fou ', 'Bu ', 'Han ', 'Heng ', 'Geng ', 'Shuo ', 'Ge ') |
divisor = int(input())
bound = int(input())
for num in range(bound, 0, -1):
if num % divisor == 0:
print(num)
break
| divisor = int(input())
bound = int(input())
for num in range(bound, 0, -1):
if num % divisor == 0:
print(num)
break |
cities = [
'Budapest',
'Debrecen',
'Miskolc',
'Szeged',
'Pecs',
'Zuglo',
'Gyor',
'Nyiregyhaza',
'Kecskemet',
'Szekesfehervar',
'Szombathely',
'Jozsefvaros',
'Paradsasvar',
'Szolnok',
'Tatabanya',
'Kaposvar',
'Bekescsaba',
'Erd',
'Veszprem',
'Erzsebetvaros',
'Zalaegerszeg',
'Kispest',
'Sopron',
'Eger',
'Nagykanizsa',
'Dunaujvaros',
'Hodmezovasarhely',
'Salgotarjan',
'Cegled',
'Ozd',
'Baja',
'Vac',
'Szekszard',
'Papa',
'Gyongyos',
'Kazincbarcika',
'Godollo',
'Gyula',
'Hajduboszormeny',
'Kiskunfelegyhaza',
'Ajka',
'Oroshaza',
'Mosonmagyarovar',
'Dunakeszi',
'Kiskunhalas',
'Esztergom',
'Jaszbereny',
'Komlo',
'Nagykoros',
'Mako',
'Budaors',
'Szigetszentmiklos',
'Tata',
'Szentendre',
'Hajduszoboszlo',
'Siofok',
'Torokszentmiklos',
'Hatvan',
'Karcag',
'Gyal',
'Monor',
'Keszthely',
'Varpalota',
'Bekes',
'Dombovar',
'Paks',
'Oroszlany',
'Komarom',
'Vecses',
'Mezotur',
'Mateszalka',
'Mohacs',
'Csongrad',
'Kalocsa',
'Kisvarda',
'Szarvas',
'Satoraljaujhely',
'Hajdunanas',
'Balmazujvaros',
'Mezokovesd',
'Tapolca',
'Szazhalombatta',
'Balassagyarmat',
'Tiszaujvaros',
'Dunaharaszti',
'Fot',
'Dabas',
'Abony',
'Berettyoujfalu',
'Puspokladany',
'God',
'Sarvar',
'Gyomaendrod',
'Kiskoros',
'Pomaz',
'Mor',
'Sarospatak',
'Batonyterenye',
'Bonyhad',
'Gyomro',
'Tiszavasvari',
'Ujfeherto',
'Nyirbator',
'Sarbogard',
'Nagykata',
'Budakeszi',
'Pecel',
'Pilisvorosvar',
'Sajoszentpeter',
'Szigethalom',
'Balatonfured',
'Hajduhadhaz',
'Kisujszallas',
'Dorog',
'Kormend',
'Marcali',
'Barcs',
'Tolna',
'Tiszafured',
'Kiskunmajsa',
'Tiszafoldvar',
'Albertirsa',
'Nagyatad',
'Tiszakecske',
'Toeroekbalint',
'Koszeg',
'Celldomolk',
'Heves',
'Mezobereny',
'Szigetvar',
'Pilis',
'Veresegyhaz',
'Bicske',
'Edeleny',
'Lajosmizse',
'Kistarcsa',
'Hajdusamson',
'Csorna',
'Nagykallo',
'Isaszeg',
'Sarkad',
'Kapuvar',
'Ullo',
'Siklos',
'Toekoel',
'Maglod',
'Paszto',
'Szerencs',
'Turkeve',
'Szeghalom',
'Kerepes',
'Jaszapati',
'Janoshalma',
'Tamasi',
'Kunszentmarton',
'Hajdudorog',
'Vasarosnameny',
'Solymar',
'Rackeve',
'Derecske',
'Kecel',
'Nadudvar',
'Ocsa',
'Dunafoldvar',
'Fehergyarmat',
'Kiskunlachaza',
'Kunszentmiklos',
'Szentgotthard',
'Devavanya',
'Biatorbagy',
'Kunhegyes',
'Lenti',
'Ercsi',
'Balatonalmadi',
'Polgar',
'Tura',
'Suelysap',
'Fuzesabony',
'Jaszarokszallas',
'Gardony',
'Tarnok',
'Nyiradony',
'Zalaszentgrot',
'Sandorfalva',
'Soltvadkert',
'Nyergesujfalu',
'Bacsalmas',
'Csomor',
'Putnok',
'Veszto',
'Kistelek',
'Zirc',
'Halasztelek',
'Mindszent',
'Acs',
'Enying',
'Letavertes',
'Nyirtelek',
'Szentlorinc',
'Felsozsolca',
'Solt',
'Fegyvernek',
'Nagyecsed',
'Encs',
'Ibrany',
'Mezokovacshaza',
'Ujszasz',
'Bataszek',
'Balkany',
'Sumeg',
'Tapioszecso',
'Szabadszallas',
'Battonya',
'Polgardi',
'Mezocsat',
'Totkomlos',
'Piliscsaba',
'Szecseny',
'Fuzesgyarmat',
'Kaba',
'Pusztaszabolcs',
'Teglas',
'Mezohegyes',
'Jaszladany',
'Tapioszele',
'Aszod',
'Diosd',
'Taksony',
'Tiszalok',
'Izsak',
'Komadi',
'Lorinci',
'Alsozsolca',
'Kartal',
'Dunavarsany',
'Erdokertes',
'Janossomorja',
'Kerekegyhaza',
'Balatonboglar',
'Szikszo',
'Domsod',
'Nagyhalasz',
'Kisber',
'Kunmadaras',
'Berhida',
'Kondoros',
'Melykut',
'Jaszkiser',
'Csurgo',
'Csorvas',
'Nagyszenas',
'Ujkigyos',
'Tapioszentmarton',
'Tat',
'Egyek',
'Tiszaluc',
'Orbottyan',
'Rakoczifalva',
'Hosszupalyi',
'Paty',
'Elek',
'Vamospercs',
'Morahalom',
'Bugyi',
'Emod',
'Labatlan',
'Csakvar',
'Algyo',
'Kenderes',
'Csenger',
'Fonyod',
'Rakamaz',
'Martonvasar',
'Devecser',
'Orkeny',
'Tokaj',
'Tiszaalpar',
'Kemecse',
'Korosladany'
]
| cities = ['Budapest', 'Debrecen', 'Miskolc', 'Szeged', 'Pecs', 'Zuglo', 'Gyor', 'Nyiregyhaza', 'Kecskemet', 'Szekesfehervar', 'Szombathely', 'Jozsefvaros', 'Paradsasvar', 'Szolnok', 'Tatabanya', 'Kaposvar', 'Bekescsaba', 'Erd', 'Veszprem', 'Erzsebetvaros', 'Zalaegerszeg', 'Kispest', 'Sopron', 'Eger', 'Nagykanizsa', 'Dunaujvaros', 'Hodmezovasarhely', 'Salgotarjan', 'Cegled', 'Ozd', 'Baja', 'Vac', 'Szekszard', 'Papa', 'Gyongyos', 'Kazincbarcika', 'Godollo', 'Gyula', 'Hajduboszormeny', 'Kiskunfelegyhaza', 'Ajka', 'Oroshaza', 'Mosonmagyarovar', 'Dunakeszi', 'Kiskunhalas', 'Esztergom', 'Jaszbereny', 'Komlo', 'Nagykoros', 'Mako', 'Budaors', 'Szigetszentmiklos', 'Tata', 'Szentendre', 'Hajduszoboszlo', 'Siofok', 'Torokszentmiklos', 'Hatvan', 'Karcag', 'Gyal', 'Monor', 'Keszthely', 'Varpalota', 'Bekes', 'Dombovar', 'Paks', 'Oroszlany', 'Komarom', 'Vecses', 'Mezotur', 'Mateszalka', 'Mohacs', 'Csongrad', 'Kalocsa', 'Kisvarda', 'Szarvas', 'Satoraljaujhely', 'Hajdunanas', 'Balmazujvaros', 'Mezokovesd', 'Tapolca', 'Szazhalombatta', 'Balassagyarmat', 'Tiszaujvaros', 'Dunaharaszti', 'Fot', 'Dabas', 'Abony', 'Berettyoujfalu', 'Puspokladany', 'God', 'Sarvar', 'Gyomaendrod', 'Kiskoros', 'Pomaz', 'Mor', 'Sarospatak', 'Batonyterenye', 'Bonyhad', 'Gyomro', 'Tiszavasvari', 'Ujfeherto', 'Nyirbator', 'Sarbogard', 'Nagykata', 'Budakeszi', 'Pecel', 'Pilisvorosvar', 'Sajoszentpeter', 'Szigethalom', 'Balatonfured', 'Hajduhadhaz', 'Kisujszallas', 'Dorog', 'Kormend', 'Marcali', 'Barcs', 'Tolna', 'Tiszafured', 'Kiskunmajsa', 'Tiszafoldvar', 'Albertirsa', 'Nagyatad', 'Tiszakecske', 'Toeroekbalint', 'Koszeg', 'Celldomolk', 'Heves', 'Mezobereny', 'Szigetvar', 'Pilis', 'Veresegyhaz', 'Bicske', 'Edeleny', 'Lajosmizse', 'Kistarcsa', 'Hajdusamson', 'Csorna', 'Nagykallo', 'Isaszeg', 'Sarkad', 'Kapuvar', 'Ullo', 'Siklos', 'Toekoel', 'Maglod', 'Paszto', 'Szerencs', 'Turkeve', 'Szeghalom', 'Kerepes', 'Jaszapati', 'Janoshalma', 'Tamasi', 'Kunszentmarton', 'Hajdudorog', 'Vasarosnameny', 'Solymar', 'Rackeve', 'Derecske', 'Kecel', 'Nadudvar', 'Ocsa', 'Dunafoldvar', 'Fehergyarmat', 'Kiskunlachaza', 'Kunszentmiklos', 'Szentgotthard', 'Devavanya', 'Biatorbagy', 'Kunhegyes', 'Lenti', 'Ercsi', 'Balatonalmadi', 'Polgar', 'Tura', 'Suelysap', 'Fuzesabony', 'Jaszarokszallas', 'Gardony', 'Tarnok', 'Nyiradony', 'Zalaszentgrot', 'Sandorfalva', 'Soltvadkert', 'Nyergesujfalu', 'Bacsalmas', 'Csomor', 'Putnok', 'Veszto', 'Kistelek', 'Zirc', 'Halasztelek', 'Mindszent', 'Acs', 'Enying', 'Letavertes', 'Nyirtelek', 'Szentlorinc', 'Felsozsolca', 'Solt', 'Fegyvernek', 'Nagyecsed', 'Encs', 'Ibrany', 'Mezokovacshaza', 'Ujszasz', 'Bataszek', 'Balkany', 'Sumeg', 'Tapioszecso', 'Szabadszallas', 'Battonya', 'Polgardi', 'Mezocsat', 'Totkomlos', 'Piliscsaba', 'Szecseny', 'Fuzesgyarmat', 'Kaba', 'Pusztaszabolcs', 'Teglas', 'Mezohegyes', 'Jaszladany', 'Tapioszele', 'Aszod', 'Diosd', 'Taksony', 'Tiszalok', 'Izsak', 'Komadi', 'Lorinci', 'Alsozsolca', 'Kartal', 'Dunavarsany', 'Erdokertes', 'Janossomorja', 'Kerekegyhaza', 'Balatonboglar', 'Szikszo', 'Domsod', 'Nagyhalasz', 'Kisber', 'Kunmadaras', 'Berhida', 'Kondoros', 'Melykut', 'Jaszkiser', 'Csurgo', 'Csorvas', 'Nagyszenas', 'Ujkigyos', 'Tapioszentmarton', 'Tat', 'Egyek', 'Tiszaluc', 'Orbottyan', 'Rakoczifalva', 'Hosszupalyi', 'Paty', 'Elek', 'Vamospercs', 'Morahalom', 'Bugyi', 'Emod', 'Labatlan', 'Csakvar', 'Algyo', 'Kenderes', 'Csenger', 'Fonyod', 'Rakamaz', 'Martonvasar', 'Devecser', 'Orkeny', 'Tokaj', 'Tiszaalpar', 'Kemecse', 'Korosladany'] |
def read_file(test = True):
if test:
filename = '../tests/day1.txt'
else:
filename = '../input/day1.txt'
with open(filename) as file:
temp = list()
for line in file:
temp.append(line.strip())
return temp
def puzzle1():
temp = read_file(False)[0]
floor = 0
for char in temp:
if char == '(':
floor += 1
elif char == ')':
floor -= 1
else:
raise ValueError
print(floor)
def puzzle2():
temp = read_file(False)[0]
floor = 0
for i, char in enumerate(temp, start = 1):
if char == '(':
floor += 1
elif char == ')':
floor -= 1
else:
raise ValueError
if floor == -1:
break
print(i)
puzzle1()
puzzle2() | def read_file(test=True):
if test:
filename = '../tests/day1.txt'
else:
filename = '../input/day1.txt'
with open(filename) as file:
temp = list()
for line in file:
temp.append(line.strip())
return temp
def puzzle1():
temp = read_file(False)[0]
floor = 0
for char in temp:
if char == '(':
floor += 1
elif char == ')':
floor -= 1
else:
raise ValueError
print(floor)
def puzzle2():
temp = read_file(False)[0]
floor = 0
for (i, char) in enumerate(temp, start=1):
if char == '(':
floor += 1
elif char == ')':
floor -= 1
else:
raise ValueError
if floor == -1:
break
print(i)
puzzle1()
puzzle2() |
def firstDuplicate(a):
number_frequencies, number_indices, duplicate_index = {}, {}, {}
# Iterate through list and increment frequency count
# if number not in dict. Also, note the index asscoiated
# with the value
for i in range(len(a)):
if a[i] not in number_frequencies:
number_frequencies[a[i]] = 1
number_indices[a[i]] = i
elif a[i] in number_frequencies:
if number_frequencies[a[i]] < 2:
number_frequencies[a[i]] += 1
number_indices[a[i]] = i
for number in number_frequencies:
if number_frequencies[number] == 2:
duplicate_index[number] = number_indices[number]
if not duplicate_index:
return -1
else:
minimal_index_key = min(duplicate_index, key=duplicate_index.get)
return minimal_index_key
| def first_duplicate(a):
(number_frequencies, number_indices, duplicate_index) = ({}, {}, {})
for i in range(len(a)):
if a[i] not in number_frequencies:
number_frequencies[a[i]] = 1
number_indices[a[i]] = i
elif a[i] in number_frequencies:
if number_frequencies[a[i]] < 2:
number_frequencies[a[i]] += 1
number_indices[a[i]] = i
for number in number_frequencies:
if number_frequencies[number] == 2:
duplicate_index[number] = number_indices[number]
if not duplicate_index:
return -1
else:
minimal_index_key = min(duplicate_index, key=duplicate_index.get)
return minimal_index_key |
#
# PySNMP MIB module IANA-MALLOC-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/IANA-MALLOC-MIB
# Produced by pysmi-0.3.4 at Wed May 1 13:50:25 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
Integer, ObjectIdentifier, OctetString = mibBuilder.importSymbols("ASN1", "Integer", "ObjectIdentifier", "OctetString")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ValueRangeConstraint, ConstraintsIntersection, SingleValueConstraint, ConstraintsUnion, ValueSizeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueRangeConstraint", "ConstraintsIntersection", "SingleValueConstraint", "ConstraintsUnion", "ValueSizeConstraint")
ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup")
Integer32, iso, MibScalar, MibTable, MibTableRow, MibTableColumn, MibIdentifier, NotificationType, TimeTicks, mib_2, ObjectIdentity, Bits, Counter64, Gauge32, Unsigned32, ModuleIdentity, Counter32, IpAddress = mibBuilder.importSymbols("SNMPv2-SMI", "Integer32", "iso", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "MibIdentifier", "NotificationType", "TimeTicks", "mib-2", "ObjectIdentity", "Bits", "Counter64", "Gauge32", "Unsigned32", "ModuleIdentity", "Counter32", "IpAddress")
DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention")
ianaMallocMIB = ModuleIdentity((1, 3, 6, 1, 2, 1, 102))
ianaMallocMIB.setRevisions(('2014-05-22 00:00', '2003-01-27 12:00',))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts: ianaMallocMIB.setRevisionsDescriptions(('Updated contact info.', 'Initial version.',))
if mibBuilder.loadTexts: ianaMallocMIB.setLastUpdated('201405220000Z')
if mibBuilder.loadTexts: ianaMallocMIB.setOrganization('IANA')
if mibBuilder.loadTexts: ianaMallocMIB.setContactInfo(' Internet Assigned Numbers Authority Internet Corporation for Assigned Names and Numbers 12025 Waterfront Drive, Suite 300 Los Angeles, CA 90094-2536 Phone: +1 310-301-5800 EMail: iana&iana.org')
if mibBuilder.loadTexts: ianaMallocMIB.setDescription('This MIB module defines the IANAscopeSource and IANAmallocRangeSource textual conventions for use in MIBs which need to identify ways of learning multicast scope and range information. Any additions or changes to the contents of this MIB module require either publication of an RFC, or Designated Expert Review as defined in the Guidelines for Writing IANA Considerations Section document. The Designated Expert will be selected by the IESG Area Director(s) of the Transport Area.')
class IANAscopeSource(TextualConvention, Integer32):
description = 'The source of multicast scope information.'
status = 'current'
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))
namedValues = NamedValues(("other", 1), ("manual", 2), ("local", 3), ("mzap", 4), ("madcap", 5))
class IANAmallocRangeSource(TextualConvention, Integer32):
description = 'The source of multicast address allocation range information.'
status = 'current'
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3))
namedValues = NamedValues(("other", 1), ("manual", 2), ("local", 3))
mibBuilder.exportSymbols("IANA-MALLOC-MIB", IANAmallocRangeSource=IANAmallocRangeSource, IANAscopeSource=IANAscopeSource, ianaMallocMIB=ianaMallocMIB, PYSNMP_MODULE_ID=ianaMallocMIB)
| (integer, object_identifier, octet_string) = mibBuilder.importSymbols('ASN1', 'Integer', 'ObjectIdentifier', 'OctetString')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(value_range_constraint, constraints_intersection, single_value_constraint, constraints_union, value_size_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ValueRangeConstraint', 'ConstraintsIntersection', 'SingleValueConstraint', 'ConstraintsUnion', 'ValueSizeConstraint')
(module_compliance, notification_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ModuleCompliance', 'NotificationGroup')
(integer32, iso, mib_scalar, mib_table, mib_table_row, mib_table_column, mib_identifier, notification_type, time_ticks, mib_2, object_identity, bits, counter64, gauge32, unsigned32, module_identity, counter32, ip_address) = mibBuilder.importSymbols('SNMPv2-SMI', 'Integer32', 'iso', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'MibIdentifier', 'NotificationType', 'TimeTicks', 'mib-2', 'ObjectIdentity', 'Bits', 'Counter64', 'Gauge32', 'Unsigned32', 'ModuleIdentity', 'Counter32', 'IpAddress')
(display_string, textual_convention) = mibBuilder.importSymbols('SNMPv2-TC', 'DisplayString', 'TextualConvention')
iana_malloc_mib = module_identity((1, 3, 6, 1, 2, 1, 102))
ianaMallocMIB.setRevisions(('2014-05-22 00:00', '2003-01-27 12:00'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts:
ianaMallocMIB.setRevisionsDescriptions(('Updated contact info.', 'Initial version.'))
if mibBuilder.loadTexts:
ianaMallocMIB.setLastUpdated('201405220000Z')
if mibBuilder.loadTexts:
ianaMallocMIB.setOrganization('IANA')
if mibBuilder.loadTexts:
ianaMallocMIB.setContactInfo(' Internet Assigned Numbers Authority Internet Corporation for Assigned Names and Numbers 12025 Waterfront Drive, Suite 300 Los Angeles, CA 90094-2536 Phone: +1 310-301-5800 EMail: iana&iana.org')
if mibBuilder.loadTexts:
ianaMallocMIB.setDescription('This MIB module defines the IANAscopeSource and IANAmallocRangeSource textual conventions for use in MIBs which need to identify ways of learning multicast scope and range information. Any additions or changes to the contents of this MIB module require either publication of an RFC, or Designated Expert Review as defined in the Guidelines for Writing IANA Considerations Section document. The Designated Expert will be selected by the IESG Area Director(s) of the Transport Area.')
class Ianascopesource(TextualConvention, Integer32):
description = 'The source of multicast scope information.'
status = 'current'
subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(1, 2, 3, 4, 5))
named_values = named_values(('other', 1), ('manual', 2), ('local', 3), ('mzap', 4), ('madcap', 5))
class Ianamallocrangesource(TextualConvention, Integer32):
description = 'The source of multicast address allocation range information.'
status = 'current'
subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(1, 2, 3))
named_values = named_values(('other', 1), ('manual', 2), ('local', 3))
mibBuilder.exportSymbols('IANA-MALLOC-MIB', IANAmallocRangeSource=IANAmallocRangeSource, IANAscopeSource=IANAscopeSource, ianaMallocMIB=ianaMallocMIB, PYSNMP_MODULE_ID=ianaMallocMIB) |
class File:
@staticmethod
def tail(self, file_path, lines=10):
with open(file_path, 'rb') as f:
total_lines_wanted = lines
block_size = 1024
f.seek(0, 2)
block_end_byte = f.tell()
lines_to_go = total_lines_wanted
block_number = -1
blocks = []
while lines_to_go > 0 and block_end_byte > 0:
if block_end_byte - block_size > 0:
f.seek(block_number * block_size, 2)
block = f.read(block_size)
else:
f.seek(0, 0)
block = f.read(block_end_byte)
lines_found = block.count(b'\n')
lines_to_go -= lines_found
block_end_byte -= block_size
block_number -= 1
blocks.append(block)
all_read_text = b''.join(blocks)
lines_found = all_read_text.count(b'\n')
if lines_found > total_lines_wanted:
return all_read_text.split(b'\n')[-total_lines_wanted:][:-1]
else:
return all_read_text.split(b'\n')[-lines_found:] | class File:
@staticmethod
def tail(self, file_path, lines=10):
with open(file_path, 'rb') as f:
total_lines_wanted = lines
block_size = 1024
f.seek(0, 2)
block_end_byte = f.tell()
lines_to_go = total_lines_wanted
block_number = -1
blocks = []
while lines_to_go > 0 and block_end_byte > 0:
if block_end_byte - block_size > 0:
f.seek(block_number * block_size, 2)
block = f.read(block_size)
else:
f.seek(0, 0)
block = f.read(block_end_byte)
lines_found = block.count(b'\n')
lines_to_go -= lines_found
block_end_byte -= block_size
block_number -= 1
blocks.append(block)
all_read_text = b''.join(blocks)
lines_found = all_read_text.count(b'\n')
if lines_found > total_lines_wanted:
return all_read_text.split(b'\n')[-total_lines_wanted:][:-1]
else:
return all_read_text.split(b'\n')[-lines_found:] |
class Solution:
def isStrobogrammatic(self, num: str) -> bool:
strobogrammatic = {
'1': '1',
'0': '0',
'6': '9',
'9': '6',
'8': '8'
}
for idx, digit in enumerate(num):
if digit not in strobogrammatic or strobogrammatic[digit] != num[len(num) - idx -1]:
return False
return True
| class Solution:
def is_strobogrammatic(self, num: str) -> bool:
strobogrammatic = {'1': '1', '0': '0', '6': '9', '9': '6', '8': '8'}
for (idx, digit) in enumerate(num):
if digit not in strobogrammatic or strobogrammatic[digit] != num[len(num) - idx - 1]:
return False
return True |
def check_candidate(a, candidate, callback_when_different, *args, **kwargs):
control_result = None
candidate_result = None
control_exception = None
candidate_exception = None
reason = None
try:
control_result = a(*args, **kwargs)
except BaseException as e:
control_exception = e
try:
candidate_result = candidate(*args, **kwargs)
if control_exception is not None:
reason = 'old code raised, new did not'
elif control_result != candidate_result:
reason = 'different results'
except BaseException as e:
candidate_exception = e
if control_exception is None:
reason = 'new code raised, old did not'
else:
if type(control_exception) != type(candidate_exception):
reason = 'new and old both raised exception, but different types'
elif control_exception.args != candidate_exception.args:
reason = 'new and old both raised exception, but with different data'
if reason is not None:
callback_when_different(
control_result=control_result,
candidate_result=candidate_result,
control_exception=control_exception,
candidate_exception=candidate_exception,
reason=reason,
)
if control_exception is not None:
raise control_exception
return control_result
| def check_candidate(a, candidate, callback_when_different, *args, **kwargs):
control_result = None
candidate_result = None
control_exception = None
candidate_exception = None
reason = None
try:
control_result = a(*args, **kwargs)
except BaseException as e:
control_exception = e
try:
candidate_result = candidate(*args, **kwargs)
if control_exception is not None:
reason = 'old code raised, new did not'
elif control_result != candidate_result:
reason = 'different results'
except BaseException as e:
candidate_exception = e
if control_exception is None:
reason = 'new code raised, old did not'
elif type(control_exception) != type(candidate_exception):
reason = 'new and old both raised exception, but different types'
elif control_exception.args != candidate_exception.args:
reason = 'new and old both raised exception, but with different data'
if reason is not None:
callback_when_different(control_result=control_result, candidate_result=candidate_result, control_exception=control_exception, candidate_exception=candidate_exception, reason=reason)
if control_exception is not None:
raise control_exception
return control_result |
n = int(input()) % 8
if n == 0:
print(2)
elif n <= 5:
print(n)
else:
print(10 - n)
| n = int(input()) % 8
if n == 0:
print(2)
elif n <= 5:
print(n)
else:
print(10 - n) |
def arg_to_step(arg):
if isinstance(arg, str):
return {'run': arg}
else:
return dict(zip(['run', 'parameters', 'cache'], arg))
def steps(*args):
return [arg_to_step(arg) for arg in args]
| def arg_to_step(arg):
if isinstance(arg, str):
return {'run': arg}
else:
return dict(zip(['run', 'parameters', 'cache'], arg))
def steps(*args):
return [arg_to_step(arg) for arg in args] |
#inputFile = 'sand.407'
inputFile = 'sand.407'
outputFile= 'sand.out'
def joinLine():
pass
with open(inputFile) as OF:
lines = OF.readlines()
print(lines[0:3])
| input_file = 'sand.407'
output_file = 'sand.out'
def join_line():
pass
with open(inputFile) as of:
lines = OF.readlines()
print(lines[0:3]) |
class MergeSort:
def __init__(self, lst):
self.lst = lst
def mergeSort(self, a):
midPoint = len(a) // 2
if a[len(a) - 1] < a[0]:
left = self.mergeSort(a[:midPoint])
right = self.mergeSort(a[midPoint:])
return self.merge(left, right)
else:
return a
def merge(self, left, right):
output = list()
leftCount, rightCount = 0, 0
while leftCount < len(left) or rightCount < len(right):
if leftCount < len(left) and rightCount < len(right):
if left[leftCount] < right[rightCount]:
output.append(left[leftCount])
leftCount += 1
else:
output.append(right[rightCount])
rightCount += 1
if leftCount == len(left) and rightCount < right(right):
output.append(right[rightCount])
rightCount += 1
elif leftCount < len(left) and rightCount == len(right):
output.append(left[leftCount])
leftCount += 1
return output
def sort(self):
temp = self.mergeSort(self.lst)
self.lst = temp
def show(self):
return self.lst
if __name__ == "__main__":
i = MergeSort([5, 4, 3, 2, 1])
i.sort()
print(i.show())
| class Mergesort:
def __init__(self, lst):
self.lst = lst
def merge_sort(self, a):
mid_point = len(a) // 2
if a[len(a) - 1] < a[0]:
left = self.mergeSort(a[:midPoint])
right = self.mergeSort(a[midPoint:])
return self.merge(left, right)
else:
return a
def merge(self, left, right):
output = list()
(left_count, right_count) = (0, 0)
while leftCount < len(left) or rightCount < len(right):
if leftCount < len(left) and rightCount < len(right):
if left[leftCount] < right[rightCount]:
output.append(left[leftCount])
left_count += 1
else:
output.append(right[rightCount])
right_count += 1
if leftCount == len(left) and rightCount < right(right):
output.append(right[rightCount])
right_count += 1
elif leftCount < len(left) and rightCount == len(right):
output.append(left[leftCount])
left_count += 1
return output
def sort(self):
temp = self.mergeSort(self.lst)
self.lst = temp
def show(self):
return self.lst
if __name__ == '__main__':
i = merge_sort([5, 4, 3, 2, 1])
i.sort()
print(i.show()) |
'''
There are two sorted arrays nums1 and nums2 of size m and n respectively.
Find the median of the two sorted arrays. The overall run time complexity should be O(log (m+n)).
You may assume nums1 and nums2 cannot be both empty.
'''
### Nature: the meaning of MEDIAN, is that, the number of elements less than it,
### is equal to that is more than it.
### len(left) == len(right)
### It is NOT important that if these two parts are sorted.
## Time: O(log(min(m, n))), Space: O(1) --> we need fixed number of variables
# Iterative approach
# Central logics: there exists i, j where i+j = (m+n+1) // 2 AND
# A[i-1] (leftmax of A) < B[j] (rightmin of B) AND B[j-1] < A[i]
# (in general, all left <= all right)
def findMedianSortedArrays(nums1, nums2):
m, n = len(nums1), len(nums2)
# To ensure j will not be negative
if m > n:
m, n = n, m
nums1, nums2 = nums2, nums1
# (m+n+1) plus 1 makes sure i & j are the minimums of the right part, AND
# that j-1 (which is left max) will not be negative
imin, imax, half = 0, m, (m+n+1) / 2
while imin <= imax: # This will directly handle edge cases like len(A) == 0 etc
i = (imin+imax) / 2
j = half - i
# case one: i hasn't exceeded array 1 and is too small
if i < m and nums2[j-1] > nums1[i]:
imin = i+1
# case two: i-1 hasn't exceeded the smallest and i is too big
elif i > 0 and nums1[i-1] > nums2[j]:
imax = i-1
# case three: i is perfect
else:
# edge case 1:
# all nums in nums1 is bigger than nums2
if i == 0:
max_of_left = nums2[j-1] # j-1 >= 0 is ensured
# edge case 2:
# the opposite, AND m==n or m=n-1
elif j == 0:
max_of_left = nums1[m-1]
# general case:
else:
max_of_left = max(nums1[i-1], nums2[j-1])
if (m+n) % 2 == 1:
return max_of_left
# edge case: when A[i] would be out of index bound
if i == m:
min_of_right = nums2[j]
# edge case: when B[j] would be out of index bound
elif j == n:
min_of_right = nums1[i]
else:
min_of_right = min(nums1[i], nums2[j])
return (max_of_left + min_of_right) / 2.0
| """
There are two sorted arrays nums1 and nums2 of size m and n respectively.
Find the median of the two sorted arrays. The overall run time complexity should be O(log (m+n)).
You may assume nums1 and nums2 cannot be both empty.
"""
def find_median_sorted_arrays(nums1, nums2):
(m, n) = (len(nums1), len(nums2))
if m > n:
(m, n) = (n, m)
(nums1, nums2) = (nums2, nums1)
(imin, imax, half) = (0, m, (m + n + 1) / 2)
while imin <= imax:
i = (imin + imax) / 2
j = half - i
if i < m and nums2[j - 1] > nums1[i]:
imin = i + 1
elif i > 0 and nums1[i - 1] > nums2[j]:
imax = i - 1
else:
if i == 0:
max_of_left = nums2[j - 1]
elif j == 0:
max_of_left = nums1[m - 1]
else:
max_of_left = max(nums1[i - 1], nums2[j - 1])
if (m + n) % 2 == 1:
return max_of_left
if i == m:
min_of_right = nums2[j]
elif j == n:
min_of_right = nums1[i]
else:
min_of_right = min(nums1[i], nums2[j])
return (max_of_left + min_of_right) / 2.0 |
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
def hasPathSum(self, root: 'TreeNode', sum: 'int') -> 'bool':
if not root:
return False
def helper(node,val):
if not node:
return False
val -= node.val
if node.left is None and node.right is None:
return val == 0
return helper(node.left, val) or helper(node.right, val)
return helper(root,sum)
| class Solution:
def has_path_sum(self, root: 'TreeNode', sum: 'int') -> 'bool':
if not root:
return False
def helper(node, val):
if not node:
return False
val -= node.val
if node.left is None and node.right is None:
return val == 0
return helper(node.left, val) or helper(node.right, val)
return helper(root, sum) |
class Solution:
def maxArea(self, ls):
n = len(ls) - 1
v, left, right = [], 0, n
while 0 <= left < right <= n:
h = min(ls[left], ls[right])
v += [h * (right - left)]
while ls[left] <= h and left < right:
left += 1
while ls[right] <= h and left < right:
right -= 1
return max(v)
| class Solution:
def max_area(self, ls):
n = len(ls) - 1
(v, left, right) = ([], 0, n)
while 0 <= left < right <= n:
h = min(ls[left], ls[right])
v += [h * (right - left)]
while ls[left] <= h and left < right:
left += 1
while ls[right] <= h and left < right:
right -= 1
return max(v) |
def _check_stamping_format(f):
if f.startswith("{") and f.endswith("}"):
return True
return False
def _resolve_stamp(ctx, string, output):
stamps = [ctx.info_file, ctx.version_file]
args = ctx.actions.args()
args.add_all(stamps, format_each = "--stamp-info-file=%s")
args.add(string, format = "--format=%s")
args.add(output, format = "--output=%s")
ctx.actions.run(
executable = ctx.executable._stamper,
arguments = [args],
inputs = stamps,
tools = [ctx.executable._stamper],
outputs = [output],
mnemonic = "Stamp",
)
utils = struct(
resolve_stamp = _resolve_stamp,
check_stamping_format = _check_stamping_format,
)
| def _check_stamping_format(f):
if f.startswith('{') and f.endswith('}'):
return True
return False
def _resolve_stamp(ctx, string, output):
stamps = [ctx.info_file, ctx.version_file]
args = ctx.actions.args()
args.add_all(stamps, format_each='--stamp-info-file=%s')
args.add(string, format='--format=%s')
args.add(output, format='--output=%s')
ctx.actions.run(executable=ctx.executable._stamper, arguments=[args], inputs=stamps, tools=[ctx.executable._stamper], outputs=[output], mnemonic='Stamp')
utils = struct(resolve_stamp=_resolve_stamp, check_stamping_format=_check_stamping_format) |
def extract_stack_from_seat_line(seat_line: str) -> float or None:
# Seat 3: PokerPete24 (40518.00)
if 'will be allowed to play after the button' in seat_line:
return None
return float(seat_line.split(' (')[1].split(')')[0])
| def extract_stack_from_seat_line(seat_line: str) -> float or None:
if 'will be allowed to play after the button' in seat_line:
return None
return float(seat_line.split(' (')[1].split(')')[0]) |
class Table:
# Constructor
# Defauls row and col to 0 if less than 0
def __init__(self, col_count, row_count, headers = [], border_size = 0):
self.col_count = col_count if col_count >= 0 else 0
self.row_count = row_count if row_count >= 0 else 0
self.border_size = border_size if border_size > 0 else 0
self.headers = headers
# Getters
def get_row_count(self):
return self.row_count
def get_border_size(self):
return self.border_size
def get_col_count(self):
return self.col_count
def get_headers(self):
return self.headers
# Setters
def set_row_count(self, count):
self.row_count = count
def set_border_size(self, new_border_size):
# Pre-Condition: must be between 0 and 5
if border_size > 5 or border_size < 0:
raise Exception("Border size must be a number between 0 and 5 inclusively")
self.border_size = new_border_size
def set_headers(self, headers):
# Pre-condition: headers length must be equal to column count
if len(headers) != self.col_count:
raise Exception("Headers amount must be the same as column count")
self.headers = headers
# Mutators
def add_rows(self, count):
# Pre-Condition: count to add must be greater than 0
if count < 1:
raise Exception("Number of rows to add must be greater than 0")
self.row_count += count
def delete_rows(self, count):
# Pre-Condition: count to remove must be greater than 0
if count < 1:
raise Exception("Number of rows to delete must be greater than 0")
new_total = self.row_count - count
self.row_count = new_total if count < self.row_count else 0
def add_cols(self, col_amt_to_add, headers = []):
if len(headers) > 0:
if len(headers) != col_amt_to_add:
raise Exception("Headers amount must be the same as column count to add")
self.add_headers(headers)
else:
if len(self.headers) > 0:
raise Exception("Please send through desired header names for columns")
self.col_count += col_amt_to_add
def delete_cols(self, col_amt_to_delete, headers = []):
if len(headers) > 0:
if len(headers) != col_amt_to_delete:
raise Exception("Headers amount must be the same as column count to delete")
self.delete_headers(headers)
else:
if len(self.headers) > 0:
raise Exception("Please send through desired header names for columns removal")
self.col_count -= col_amt_to_delete
def add_headers(self, headers):
self.headers = self.headers + headers
# Must add the columns if adding Headers
self.col_count = len(self.headers)
def delete_headers(self, headers):
print(headers)
print(self.headers)
for header in headers:
if header in self.headers:
self.headers.remove(header)
# Must decrement the column count if removing headers
self.col_count = len(self.headers)
def make_table(self):
reasonable_border = self.border_size > 0
added_border_element = ["<br>\n","<table border=\"" + str(border_size) +"\">\n"]
elements = added_border_element if reasonable_border else ["<br>\n","<table>\n"]
col_counter = 0
row_counter = 0
file = open("table.html", "a")
if len(self.headers) > 0:
elements.append("\t<tr>\n")
for n in self.headers:
elements.append("\t\t<th>" + n + "</th>\n")
elements.append("\t</tr>\n")
while row_counter < self.row_count:
elements.append("\t<tr>\n")
while col_counter < self.col_count:
elements.append("\t\t<td>test</td>\n")
col_counter += 1
elements.append("\t</tr>\n")
row_counter += 1
col_counter = 0
elements.append("</table>\n")
file.writelines(elements)
file.close()
col = 0
row = 0
header = ""
headers = []
border_size = -1
while col < 1 or col > 100:
col = input("How many columns do you want (1 to 100)? ")
col = int(col)
while row < 1 or col > 100:
row = input("How many rows do you want (1 to 100)? ")
row = int(row)
while header != "Y" and header != "N":
header = input("Do you want headers? Y/N ")
# If headers are wanted, give them names
if header == "Y":
header = True
for n in range(col):
headers.append(input("Header #" + str(n + 1) + ": "))
else:
header = False
while border_size < 0 or border_size > 5:
border_size = input("Enter a number for border size 1 to 5 ")
border_size = int(border_size)
# DEMOOOOOO
table = Table(col, row, headers, border_size)
table.make_table()
table.add_headers(["1", "2", "4"])
print("Here are your current headers: ")
print(table.get_headers())
print("Here is your current border size: ")
print(table.get_border_size())
table.make_table()
table.delete_cols(3, ["1", "2", "4"])
print("Here are your headers now: ")
print(table.get_headers())
print("Let's check your column count: ")
print(table.get_col_count())
# table.delete_cols(4) # should throw error
table.set_row_count(3)
table.add_rows(5)
print("Row count should be 8 because I just set it to 3 and added 5: ")
print(table.get_row_count())
| class Table:
def __init__(self, col_count, row_count, headers=[], border_size=0):
self.col_count = col_count if col_count >= 0 else 0
self.row_count = row_count if row_count >= 0 else 0
self.border_size = border_size if border_size > 0 else 0
self.headers = headers
def get_row_count(self):
return self.row_count
def get_border_size(self):
return self.border_size
def get_col_count(self):
return self.col_count
def get_headers(self):
return self.headers
def set_row_count(self, count):
self.row_count = count
def set_border_size(self, new_border_size):
if border_size > 5 or border_size < 0:
raise exception('Border size must be a number between 0 and 5 inclusively')
self.border_size = new_border_size
def set_headers(self, headers):
if len(headers) != self.col_count:
raise exception('Headers amount must be the same as column count')
self.headers = headers
def add_rows(self, count):
if count < 1:
raise exception('Number of rows to add must be greater than 0')
self.row_count += count
def delete_rows(self, count):
if count < 1:
raise exception('Number of rows to delete must be greater than 0')
new_total = self.row_count - count
self.row_count = new_total if count < self.row_count else 0
def add_cols(self, col_amt_to_add, headers=[]):
if len(headers) > 0:
if len(headers) != col_amt_to_add:
raise exception('Headers amount must be the same as column count to add')
self.add_headers(headers)
else:
if len(self.headers) > 0:
raise exception('Please send through desired header names for columns')
self.col_count += col_amt_to_add
def delete_cols(self, col_amt_to_delete, headers=[]):
if len(headers) > 0:
if len(headers) != col_amt_to_delete:
raise exception('Headers amount must be the same as column count to delete')
self.delete_headers(headers)
else:
if len(self.headers) > 0:
raise exception('Please send through desired header names for columns removal')
self.col_count -= col_amt_to_delete
def add_headers(self, headers):
self.headers = self.headers + headers
self.col_count = len(self.headers)
def delete_headers(self, headers):
print(headers)
print(self.headers)
for header in headers:
if header in self.headers:
self.headers.remove(header)
self.col_count = len(self.headers)
def make_table(self):
reasonable_border = self.border_size > 0
added_border_element = ['<br>\n', '<table border="' + str(border_size) + '">\n']
elements = added_border_element if reasonable_border else ['<br>\n', '<table>\n']
col_counter = 0
row_counter = 0
file = open('table.html', 'a')
if len(self.headers) > 0:
elements.append('\t<tr>\n')
for n in self.headers:
elements.append('\t\t<th>' + n + '</th>\n')
elements.append('\t</tr>\n')
while row_counter < self.row_count:
elements.append('\t<tr>\n')
while col_counter < self.col_count:
elements.append('\t\t<td>test</td>\n')
col_counter += 1
elements.append('\t</tr>\n')
row_counter += 1
col_counter = 0
elements.append('</table>\n')
file.writelines(elements)
file.close()
col = 0
row = 0
header = ''
headers = []
border_size = -1
while col < 1 or col > 100:
col = input('How many columns do you want (1 to 100)? ')
col = int(col)
while row < 1 or col > 100:
row = input('How many rows do you want (1 to 100)? ')
row = int(row)
while header != 'Y' and header != 'N':
header = input('Do you want headers? Y/N ')
if header == 'Y':
header = True
for n in range(col):
headers.append(input('Header #' + str(n + 1) + ': '))
else:
header = False
while border_size < 0 or border_size > 5:
border_size = input('Enter a number for border size 1 to 5 ')
border_size = int(border_size)
table = table(col, row, headers, border_size)
table.make_table()
table.add_headers(['1', '2', '4'])
print('Here are your current headers: ')
print(table.get_headers())
print('Here is your current border size: ')
print(table.get_border_size())
table.make_table()
table.delete_cols(3, ['1', '2', '4'])
print('Here are your headers now: ')
print(table.get_headers())
print("Let's check your column count: ")
print(table.get_col_count())
table.set_row_count(3)
table.add_rows(5)
print('Row count should be 8 because I just set it to 3 and added 5: ')
print(table.get_row_count()) |
class cluster(object):
def __init__(self,members=[]):
self.s=set(members)
def merge(self, other):
self.s.union(other.s)
return self
class clusterManager(object):
def __init__(self,clusters={}):
self.c=clusters
def merge(self, i, j):
self.c[i]=self.c[j]=self.c[i].merge(self.c[j])
def count(self):
return len(set(self.c.values()))
def zombieCluster(zombies):
cm=clusterManager(clusters={i:cluster(members=[i]) for i in xrange(len(zombies))})
for i,row in enumerate(zombies):
for j,column in enumerate(row):
if column == '1':
cm.merge(i,j)
return cm.count()
| class Cluster(object):
def __init__(self, members=[]):
self.s = set(members)
def merge(self, other):
self.s.union(other.s)
return self
class Clustermanager(object):
def __init__(self, clusters={}):
self.c = clusters
def merge(self, i, j):
self.c[i] = self.c[j] = self.c[i].merge(self.c[j])
def count(self):
return len(set(self.c.values()))
def zombie_cluster(zombies):
cm = cluster_manager(clusters={i: cluster(members=[i]) for i in xrange(len(zombies))})
for (i, row) in enumerate(zombies):
for (j, column) in enumerate(row):
if column == '1':
cm.merge(i, j)
return cm.count() |
#backslash and new line ignored
print("one\
two\
three")
| print('one two three') |
jogador = dict()
partidas = list()
jogador['nome'] = str(input('Nome do jogador: '))
tot = int(input(f'Quantas partidas {jogador["nome"]} jogou? '))
for c in range(0, tot):
partidas.append(int(input(f' Quantos gols na partida {c}? ')))
jogador['gols'] = partidas[:]
jogador['total'] = sum(partidas)
print(30*'-=')
print(jogador)
print(30*'-=')
for k, v in jogador.items():
print(f'O campo {k} tem o valor {v}')
print(30*'-=')
print(f'O jogador {jogador["nome"]} jogou {len(jogador["gols"])} partidas.')
for i, v in enumerate(jogador["gols"]):
print(f' => Na partida {i}, fez {v} gols.')
print(f'Foi um total de {jogador["total"]} gols.')
# Ou
# jogador = dict()
# partidas = list()
# p = tot = 0
# jogador['nome'] = str(input('Nome do Jogador: '))
# quant = int(input(f'Quantas partidas {jogador["nome"]} jogou? '))
# while p < quant:
# jogos = int(input(f' Quantos gols na partida {p}? '))
# partidas.append(jogos)
# tot += jogos
# p += 1
# jogador['gols'] = partidas
# jogador['total'] = tot
# print(30*'-=')
# print(jogador)
# print(30*'-=')
# for k, v in jogador.items():
# print(f'O campo {k} tem o valor {v}')
# print(30*'-=')
# print(f'O jogador {jogador["nome"]} jogou {quant} partidas.')
# for c, g in enumerate(partidas):
# print(f' => Na partida {c}, fez {g} gols.')
# print(f'Foi um total de {jogador["total"]} gols.') | jogador = dict()
partidas = list()
jogador['nome'] = str(input('Nome do jogador: '))
tot = int(input(f"Quantas partidas {jogador['nome']} jogou? "))
for c in range(0, tot):
partidas.append(int(input(f' Quantos gols na partida {c}? ')))
jogador['gols'] = partidas[:]
jogador['total'] = sum(partidas)
print(30 * '-=')
print(jogador)
print(30 * '-=')
for (k, v) in jogador.items():
print(f'O campo {k} tem o valor {v}')
print(30 * '-=')
print(f"O jogador {jogador['nome']} jogou {len(jogador['gols'])} partidas.")
for (i, v) in enumerate(jogador['gols']):
print(f' => Na partida {i}, fez {v} gols.')
print(f"Foi um total de {jogador['total']} gols.") |
#skip.runas import Image; im = Image.open("Scribus.gif"); image_list = list(im.getdata()); cols, rows = im.size; res = range(len(image_list)); sobelFilter(image_list, res, cols, rows)
#runas cols = 100; rows = 100 ;image_list=[x%10+y%20 for x in xrange(cols) for y in xrange(rows)]; sobelFilter(image_list, cols, rows)
#bench cols = 1000; rows = 500 ;image_list=[x%10+y%20 for x in xrange(cols) for y in xrange(rows)]; sobelFilter(image_list, cols, rows)
#pythran export sobelFilter(int list, int, int)
def sobelFilter(original_image, cols, rows):
edge_image = range(len(original_image))
for i in xrange(rows):
edge_image[i * cols] = 255
edge_image[((i + 1) * cols) - 1] = 255
for i in xrange(1, cols - 1):
edge_image[i] = 255
edge_image[i + ((rows - 1) * cols)] = 255
for iy in xrange(1, rows - 1):
for ix in xrange(1, cols - 1):
sum_x = 0
sum_y = 0
sum = 0
#x gradient approximation
sum_x += original_image[ix - 1 + (iy - 1) * cols] * -1
sum_x += original_image[ix + (iy - 1) * cols] * -2
sum_x += original_image[ix + 1 + (iy - 1) * cols] * -1
sum_x += original_image[ix - 1 + (iy + 1) * cols] * 1
sum_x += original_image[ix + (iy + 1) * cols] * 2
sum_x += original_image[ix + 1 + (iy + 1) * cols] * 1
sum_x = min(255, max(0, sum_x))
#y gradient approximatio
sum_y += original_image[ix - 1 + (iy - 1) * cols] * 1
sum_y += original_image[ix + 1 + (iy - 1) * cols] * -1
sum_y += original_image[ix - 1 + (iy) * cols] * 2
sum_y += original_image[ix + 1 + (iy) * cols] * -2
sum_y += original_image[ix - 1 + (iy + 1) * cols] * 1
sum_y += original_image[ix + 1 + (iy + 1) * cols] * -1
sum_y = min(255, max(0, sum_y))
#GRADIENT MAGNITUDE APPROXIMATION
sum = abs(sum_x) + abs(sum_y)
#make edges black and background white
edge_image[ix + iy * cols] = 255 - (255 & sum)
return edge_image
| def sobel_filter(original_image, cols, rows):
edge_image = range(len(original_image))
for i in xrange(rows):
edge_image[i * cols] = 255
edge_image[(i + 1) * cols - 1] = 255
for i in xrange(1, cols - 1):
edge_image[i] = 255
edge_image[i + (rows - 1) * cols] = 255
for iy in xrange(1, rows - 1):
for ix in xrange(1, cols - 1):
sum_x = 0
sum_y = 0
sum = 0
sum_x += original_image[ix - 1 + (iy - 1) * cols] * -1
sum_x += original_image[ix + (iy - 1) * cols] * -2
sum_x += original_image[ix + 1 + (iy - 1) * cols] * -1
sum_x += original_image[ix - 1 + (iy + 1) * cols] * 1
sum_x += original_image[ix + (iy + 1) * cols] * 2
sum_x += original_image[ix + 1 + (iy + 1) * cols] * 1
sum_x = min(255, max(0, sum_x))
sum_y += original_image[ix - 1 + (iy - 1) * cols] * 1
sum_y += original_image[ix + 1 + (iy - 1) * cols] * -1
sum_y += original_image[ix - 1 + iy * cols] * 2
sum_y += original_image[ix + 1 + iy * cols] * -2
sum_y += original_image[ix - 1 + (iy + 1) * cols] * 1
sum_y += original_image[ix + 1 + (iy + 1) * cols] * -1
sum_y = min(255, max(0, sum_y))
sum = abs(sum_x) + abs(sum_y)
edge_image[ix + iy * cols] = 255 - (255 & sum)
return edge_image |
def sum_digit(n):
total = 0
while n != 0:
total += n % 10
n /= 10
return total
def factorial(n):
if n <= 0:
return 1
return n * factorial(n - 1)
| def sum_digit(n):
total = 0
while n != 0:
total += n % 10
n /= 10
return total
def factorial(n):
if n <= 0:
return 1
return n * factorial(n - 1) |
class Global:
sand_box = True
app_key = None
# your secret
secret = None
callback_url = None
server_url = None
log = None
def __init__(self, config):
Global.sand_box = config.get_env()
Global.app_key = config.get_app_key()
Global.secret = config.get_secret()
Global.callback_url = config.get_callback_url()
Global.log = config.get_log()
@staticmethod
def get_env():
return Global.sand_box
@staticmethod
def get_app_key():
return Global.app_key
@staticmethod
def get_secret():
return Global.secret
@staticmethod
def get_callback_url():
return Global.callback_url
@staticmethod
def get_log():
return Global.log
@staticmethod
def get_server_url():
return Global.server_url
@staticmethod
def get_access_token_url():
return Global.get_server_url() + "/token"
@staticmethod
def get_api_server_url():
return Global.get_server_url() + "/api/v1/"
@staticmethod
def get_authorize_url():
return Global.get_server_url() + "/authorize" | class Global:
sand_box = True
app_key = None
secret = None
callback_url = None
server_url = None
log = None
def __init__(self, config):
Global.sand_box = config.get_env()
Global.app_key = config.get_app_key()
Global.secret = config.get_secret()
Global.callback_url = config.get_callback_url()
Global.log = config.get_log()
@staticmethod
def get_env():
return Global.sand_box
@staticmethod
def get_app_key():
return Global.app_key
@staticmethod
def get_secret():
return Global.secret
@staticmethod
def get_callback_url():
return Global.callback_url
@staticmethod
def get_log():
return Global.log
@staticmethod
def get_server_url():
return Global.server_url
@staticmethod
def get_access_token_url():
return Global.get_server_url() + '/token'
@staticmethod
def get_api_server_url():
return Global.get_server_url() + '/api/v1/'
@staticmethod
def get_authorize_url():
return Global.get_server_url() + '/authorize' |
DEFAULT_KUBE_VERSION=1.14
KUBE_VERSION="kubeVersion"
USER_ID="userId"
DEFAULT_USER_ID=1
CLUSTER_NAME="clusterName"
CLUSTER_MASTER_IP="masterHostIP"
CLUSTER_WORKER_IP_LIST="workerIPList"
FRAMEWORK_TYPE= "frameworkType"
FRAMEWORK_VERSION="frameworkVersion"
FRAMEWORK_RESOURCES="frameworkResources"
FRAMEWORK_VOLUME_SIZE= "storageVolumeSizegb"
FRAMEWORK_ASSIGN_DPU_TYPE= "dpuType"
FRAMEWORK_ASSIGN_DPU_COUNT= "count"
FRAMEWORK_INSTANCE_COUNT="instanceCount"
FRAMEWORK_SPEC="spec"
FRAMEWORK_IMAGE_NAME="imageName"
FRAMEWORK_DPU_ID="dpuId"
FRAMEWORK_DPU_COUNT="count"
CLUSTER_ID="clusterId"
FRAMEWORK_DEFAULT_PVC="/home/user/"
DEFAULT_FRAMEWORK_TYPE="POLYAXON"
DEFAULT_FRAMEWORK_VERSION="0.4.4"
POLYAXON_TEMPLATE="templates/polyaxon_config"
POLYAXON_CONFIG_FILE="/home/user/polyaxonConfig.yaml"
POLYAXON_DEFAULT_NAMESPACE="polyaxon"
TENSORFLOW_TEMPLATE="templates/tensorflow-gpu"
DEFAULT_PATH="/home/user/"
##########Cluster Info####################
POD_IP="podIp"
POD_STATUS="podStatus"
POD_HOST_IP="hostIp"
##########End Of Cluster Info####################
PVC_MAX_ITERATIONS=50
SLEEP_TIME=5
GLUSTER_DEFAULT_MOUNT_PATH="/volume"
CONTAINER_VOLUME_PREFIX="volume"
MAX_RETRY_FOR_CLUSTER_FORM=10
##############Cluster Related ####################33
CLUSTER_NODE_READY_COUNT=60
CLUSTER_NODE_READY_SLEEP=6
CLUSTER_NODE_NAME_PREFIX="worker"
NO_OF_GPUS_IN_GK210_K80=2
POLYAXON_NODE_PORT_RANGE_START=30000
POLYAXON_NODE_PORT_RANGE_END=32767
DEFAULT_CIDR="10.244.0.0/16"
GFS_STORAGE_CLASS="glusterfs"
GFS_STORAGE_REPLICATION="replicate:2"
HEKETI_REST_URL="http://10.138.0.2:8080"
DEFAULT_VOLUME_MOUNT_PATH="/volume"
GLUSTER_DEFAULT_REP_FACTOR=2
POLYAXON_DEFAULT_HTTP_PORT=80
POLYAXON_DEFAULT_WS_PORT=1337
SUCCESS_MESSAGE_STATUS="SUCCESS"
ERROR_MESSAGE_STATUS="SUCCESS"
ROLE="role"
IP_ADDRESS="ipAddress"
INTERNAL_IP_ADDRESS="internalIpAddress"
ADD_NODE_USER_ID="hostUserId"
ADD_NODE_PASSWORD="password"
####Polyaxon GetClusterInfo###
QUOTA_NAME="quotaName"
QUOTA_USED="used"
QUOTA_LIMIT="limit"
DEFAULT_QUOTA="default"
VOLUME_NAME="volumeName"
MOUNT_PATH_IN_POD="volumePodMountPath"
VOLUME_TOTAL_SIZE="totalSize"
VOLUME_FREE="free"
NVIDIA_GPU_RESOURCE_NAME="requests.nvidia.com/gpu"
EXECUTOR="executor"
MASTER_IP="masterIP"
GPU_COUNT="gpuCount"
NAME="name"
KUBE_CLUSTER_INFO="kubeClusterInfo"
ML_CLUSTER_INFO="mlClusterInfo"
POLYAXON_DEFAULT_USER_ID="root"
POLYAXON_DEFAULT_PASSWORD="rootpassword"
POLYAXON_USER_ID="polyaxonUserId"
POLYAXON_PASSWORD="polyaxonPassword"
DEFAULT_DATASET_VOLUME_NAME="vol_f37253d9f0f35868f8e3a1d63e5b1915"
DEFAULT_DATASET_MOUNT_PATH="/home/user/dataset"
DEFAULT_CLUSTER_VOLUME_MOUNT_PATH="/home/user/volume"
DEFAULT_GLUSTER_SERVER="10.138.0.2"
DEFAULT_DATASET_VOLUME_SIZE="10Gi"
CLUSTER_VOLUME_MOUNT_PATH="volumeHostMountPath"
DATASET_VOLUME_MOUNT_POINT="dataSetVolumemountPointOnHost"
DATASET_VOLUME_MOUNT_PATH_IN_POD_REST= "volumeDataSetPodMountPoint"
DATASET_VOLUME_MOUNT_PATH_IN_POD="/dataset"
DYNAMIC_GLUSTERFS_ENDPOINT_STARTS_WITH="glusterfs-dynamic-" | default_kube_version = 1.14
kube_version = 'kubeVersion'
user_id = 'userId'
default_user_id = 1
cluster_name = 'clusterName'
cluster_master_ip = 'masterHostIP'
cluster_worker_ip_list = 'workerIPList'
framework_type = 'frameworkType'
framework_version = 'frameworkVersion'
framework_resources = 'frameworkResources'
framework_volume_size = 'storageVolumeSizegb'
framework_assign_dpu_type = 'dpuType'
framework_assign_dpu_count = 'count'
framework_instance_count = 'instanceCount'
framework_spec = 'spec'
framework_image_name = 'imageName'
framework_dpu_id = 'dpuId'
framework_dpu_count = 'count'
cluster_id = 'clusterId'
framework_default_pvc = '/home/user/'
default_framework_type = 'POLYAXON'
default_framework_version = '0.4.4'
polyaxon_template = 'templates/polyaxon_config'
polyaxon_config_file = '/home/user/polyaxonConfig.yaml'
polyaxon_default_namespace = 'polyaxon'
tensorflow_template = 'templates/tensorflow-gpu'
default_path = '/home/user/'
pod_ip = 'podIp'
pod_status = 'podStatus'
pod_host_ip = 'hostIp'
pvc_max_iterations = 50
sleep_time = 5
gluster_default_mount_path = '/volume'
container_volume_prefix = 'volume'
max_retry_for_cluster_form = 10
cluster_node_ready_count = 60
cluster_node_ready_sleep = 6
cluster_node_name_prefix = 'worker'
no_of_gpus_in_gk210_k80 = 2
polyaxon_node_port_range_start = 30000
polyaxon_node_port_range_end = 32767
default_cidr = '10.244.0.0/16'
gfs_storage_class = 'glusterfs'
gfs_storage_replication = 'replicate:2'
heketi_rest_url = 'http://10.138.0.2:8080'
default_volume_mount_path = '/volume'
gluster_default_rep_factor = 2
polyaxon_default_http_port = 80
polyaxon_default_ws_port = 1337
success_message_status = 'SUCCESS'
error_message_status = 'SUCCESS'
role = 'role'
ip_address = 'ipAddress'
internal_ip_address = 'internalIpAddress'
add_node_user_id = 'hostUserId'
add_node_password = 'password'
quota_name = 'quotaName'
quota_used = 'used'
quota_limit = 'limit'
default_quota = 'default'
volume_name = 'volumeName'
mount_path_in_pod = 'volumePodMountPath'
volume_total_size = 'totalSize'
volume_free = 'free'
nvidia_gpu_resource_name = 'requests.nvidia.com/gpu'
executor = 'executor'
master_ip = 'masterIP'
gpu_count = 'gpuCount'
name = 'name'
kube_cluster_info = 'kubeClusterInfo'
ml_cluster_info = 'mlClusterInfo'
polyaxon_default_user_id = 'root'
polyaxon_default_password = 'rootpassword'
polyaxon_user_id = 'polyaxonUserId'
polyaxon_password = 'polyaxonPassword'
default_dataset_volume_name = 'vol_f37253d9f0f35868f8e3a1d63e5b1915'
default_dataset_mount_path = '/home/user/dataset'
default_cluster_volume_mount_path = '/home/user/volume'
default_gluster_server = '10.138.0.2'
default_dataset_volume_size = '10Gi'
cluster_volume_mount_path = 'volumeHostMountPath'
dataset_volume_mount_point = 'dataSetVolumemountPointOnHost'
dataset_volume_mount_path_in_pod_rest = 'volumeDataSetPodMountPoint'
dataset_volume_mount_path_in_pod = '/dataset'
dynamic_glusterfs_endpoint_starts_with = 'glusterfs-dynamic-' |
# Python3
def makeArrayConsecutive2(statues):
return (max(statues) - min(statues) + 1) - len(statues)
| def make_array_consecutive2(statues):
return max(statues) - min(statues) + 1 - len(statues) |
'''
>List of functions
1. contain(value,limit) - contains a value between 0 to limit
'''
def contain(value,limit):
if value<0:
return value+limit
elif value>=limit:
return value-limit
else:
return value | """
>List of functions
1. contain(value,limit) - contains a value between 0 to limit
"""
def contain(value, limit):
if value < 0:
return value + limit
elif value >= limit:
return value - limit
else:
return value |
class URLShortener:
def __init__(self):
self.id_counter = 0
self.links = {}
def getURL(self, short_id):
return self.links.get(short_id)
def shorten(self, url):
short_id = self.getNextId()
self.links.update({short_id: url})
return short_id
def getNextId(self):
self.id_counter += 1
# Id got from a URL is type str anyway so it is easiest to just use
# type str everywhere after this point.
return str(self.id_counter)
| class Urlshortener:
def __init__(self):
self.id_counter = 0
self.links = {}
def get_url(self, short_id):
return self.links.get(short_id)
def shorten(self, url):
short_id = self.getNextId()
self.links.update({short_id: url})
return short_id
def get_next_id(self):
self.id_counter += 1
return str(self.id_counter) |
print ('hello world')
print ('hey i did something')
print ('what happens if i do a ;');
print ('apparently nothing')
| print('hello world')
print('hey i did something')
print('what happens if i do a ;')
print('apparently nothing') |
class Bank:
def __init__(self):
self.__agencies = [1111, 2222, 3333]
self.__costumers = []
self.__accounts = []
def insert_costumers(self, costumer):
self.__costumers.append(costumer)
def insert_accounts(self, account):
self.__accounts.append(account)
def authenticate(self, costumer):
if costumer not in self.__costumers:
return None
| class Bank:
def __init__(self):
self.__agencies = [1111, 2222, 3333]
self.__costumers = []
self.__accounts = []
def insert_costumers(self, costumer):
self.__costumers.append(costumer)
def insert_accounts(self, account):
self.__accounts.append(account)
def authenticate(self, costumer):
if costumer not in self.__costumers:
return None |
'''
Python program to determine which triples sum to zero from a given list of lists.
Input: [[1343532, -2920635, 332], [-27, 18, 9], [4, 0, -4], [2, 2, 2], [-20, 16, 4]]
Output:
[False, True, True, False, True]
Input: [[1, 2, -3], [-4, 0, 4], [0, 1, -5], [1, 1, 1], [-2, 4, -1]]
Output:
[True, True, False, False, False]
'''
#License: https://bit.ly/3oLErEI
def test(nums):
return [sum(t)==0 for t in nums]
nums = [[1343532, -2920635, 332], [-27, 18, 9], [4, 0, -4], [2, 2, 2], [-20, 16, 4]]
print("Original list of lists:",nums)
print("Determine which triples sum to zero:")
print(test(nums))
nums = [[1, 2, -3], [-4, 0, 4], [0, 1, -5], [1, 1, 1], [-2, 4, -1]]
print("\nOriginal list of lists:",nums)
print("Determine which triples sum to zero:")
print(test(nums))
| """
Python program to determine which triples sum to zero from a given list of lists.
Input: [[1343532, -2920635, 332], [-27, 18, 9], [4, 0, -4], [2, 2, 2], [-20, 16, 4]]
Output:
[False, True, True, False, True]
Input: [[1, 2, -3], [-4, 0, 4], [0, 1, -5], [1, 1, 1], [-2, 4, -1]]
Output:
[True, True, False, False, False]
"""
def test(nums):
return [sum(t) == 0 for t in nums]
nums = [[1343532, -2920635, 332], [-27, 18, 9], [4, 0, -4], [2, 2, 2], [-20, 16, 4]]
print('Original list of lists:', nums)
print('Determine which triples sum to zero:')
print(test(nums))
nums = [[1, 2, -3], [-4, 0, 4], [0, 1, -5], [1, 1, 1], [-2, 4, -1]]
print('\nOriginal list of lists:', nums)
print('Determine which triples sum to zero:')
print(test(nums)) |
class AliasNotFound(Exception):
def __init__(self, alias):
self.alias = alias
class AliasAlreadyExists(Exception):
def __init__(self, alias):
self.alias = alias
class UnexpectedServerResponse(Exception):
def __init__(self, response):
self.response = response
| class Aliasnotfound(Exception):
def __init__(self, alias):
self.alias = alias
class Aliasalreadyexists(Exception):
def __init__(self, alias):
self.alias = alias
class Unexpectedserverresponse(Exception):
def __init__(self, response):
self.response = response |
def differentiate(fxn: str) -> str:
if fxn == "x":
return "1"
dividedFxn = getFirstLevel(fxn)
coeffOrTrig: str = dividedFxn[0]
exponent: str = dividedFxn[2]
insideParentheses: str = dividedFxn[1]
if coeffOrTrig.isalpha():
ans = computeTrig(coeffOrTrig, insideParentheses)
ans = ans + "*" + differentiate(insideParentheses)
if ans.endswith("*1"):
ans = list(ans)
ans.pop()
ans.pop()
ans = "".join(ans)
return ans
if len(exponent) != 0:
if len(coeffOrTrig) != 0 and coeffOrTrig.isnumeric():
ans = computeExpWithCoeff(coeffOrTrig, insideParentheses, exponent)
ans = ans + "*" + differentiate(insideParentheses)
ans = ans.replace("^1", "")
if ans.endswith("*1"):
ans = list(ans)
ans.pop()
ans.pop()
ans = "".join(ans)
return ans
else:
ans = computeExpWithoutCoeff(insideParentheses, exponent)
ans = ans + "*" + differentiate(insideParentheses)
ans = ans.replace("^1", "")
if ans.endswith("*1"):
ans = list(ans)
ans.pop()
ans.pop()
ans = "".join(ans)
return ans
if len(coeffOrTrig) == 0 and len(exponent) == 0:
ans = "1" + "*" + differentiate(insideParentheses)
ans = ans.replace("^1", "")
if ans.endswith("*1"):
ans = list(ans)
ans.pop()
ans.pop()
ans = "".join(ans)
return ans
def getFirstLevel(function: str) -> list:
indexOfOpen = function.find("(")
indexOfClose = function.rfind(")")
function = list(function)
function[indexOfOpen] = "|"
function[indexOfClose] = "|"
function = "".join(function)
assert function.count("|") == 2, "| != 2" # assert division by 2
return function.split("|")
def computeTrig(trig: str, inside: str) -> str:
if trig == "sin":
return "(cos({}))".format(inside)
elif trig == "cos":
return "(-sin({}))".format(inside)
elif trig == "tan":
return "(sec({})^2)".format(inside)
if trig == "sec":
return "(sec({})tan({}))".format(inside, inside)
if trig == "csc":
return "(-csc({})cot({}))".format(inside, inside)
if trig == "cot":
return "(-csc({})^2)".format(inside)
def computeExpWithCoeff(coeff: str, inside: str, exp: str) -> str:
cf = int(coeff)
expnt = int(exp.replace("^", ""))
cf = cf * expnt
expnt -= 1
return "{}({})^{}".format(cf, inside, expnt)
def computeExpWithoutCoeff(inside: str, exp: str) -> str:
expnt = int(exp.replace("^", ""))
cf = int(exp.replace("^", ""))
expnt -= 1
return "{}({})^{}".format(cf, inside, expnt)
OTHER_RECURSIVE_FUNCTIONS = [
"getFirstLevel",
"computeTrig",
"computeExpWithCoeff",
"computeExpWithoutCoeff",
]
print(differentiate("3(x)^3"))
| def differentiate(fxn: str) -> str:
if fxn == 'x':
return '1'
divided_fxn = get_first_level(fxn)
coeff_or_trig: str = dividedFxn[0]
exponent: str = dividedFxn[2]
inside_parentheses: str = dividedFxn[1]
if coeffOrTrig.isalpha():
ans = compute_trig(coeffOrTrig, insideParentheses)
ans = ans + '*' + differentiate(insideParentheses)
if ans.endswith('*1'):
ans = list(ans)
ans.pop()
ans.pop()
ans = ''.join(ans)
return ans
if len(exponent) != 0:
if len(coeffOrTrig) != 0 and coeffOrTrig.isnumeric():
ans = compute_exp_with_coeff(coeffOrTrig, insideParentheses, exponent)
ans = ans + '*' + differentiate(insideParentheses)
ans = ans.replace('^1', '')
if ans.endswith('*1'):
ans = list(ans)
ans.pop()
ans.pop()
ans = ''.join(ans)
return ans
else:
ans = compute_exp_without_coeff(insideParentheses, exponent)
ans = ans + '*' + differentiate(insideParentheses)
ans = ans.replace('^1', '')
if ans.endswith('*1'):
ans = list(ans)
ans.pop()
ans.pop()
ans = ''.join(ans)
return ans
if len(coeffOrTrig) == 0 and len(exponent) == 0:
ans = '1' + '*' + differentiate(insideParentheses)
ans = ans.replace('^1', '')
if ans.endswith('*1'):
ans = list(ans)
ans.pop()
ans.pop()
ans = ''.join(ans)
return ans
def get_first_level(function: str) -> list:
index_of_open = function.find('(')
index_of_close = function.rfind(')')
function = list(function)
function[indexOfOpen] = '|'
function[indexOfClose] = '|'
function = ''.join(function)
assert function.count('|') == 2, '| != 2'
return function.split('|')
def compute_trig(trig: str, inside: str) -> str:
if trig == 'sin':
return '(cos({}))'.format(inside)
elif trig == 'cos':
return '(-sin({}))'.format(inside)
elif trig == 'tan':
return '(sec({})^2)'.format(inside)
if trig == 'sec':
return '(sec({})tan({}))'.format(inside, inside)
if trig == 'csc':
return '(-csc({})cot({}))'.format(inside, inside)
if trig == 'cot':
return '(-csc({})^2)'.format(inside)
def compute_exp_with_coeff(coeff: str, inside: str, exp: str) -> str:
cf = int(coeff)
expnt = int(exp.replace('^', ''))
cf = cf * expnt
expnt -= 1
return '{}({})^{}'.format(cf, inside, expnt)
def compute_exp_without_coeff(inside: str, exp: str) -> str:
expnt = int(exp.replace('^', ''))
cf = int(exp.replace('^', ''))
expnt -= 1
return '{}({})^{}'.format(cf, inside, expnt)
other_recursive_functions = ['getFirstLevel', 'computeTrig', 'computeExpWithCoeff', 'computeExpWithoutCoeff']
print(differentiate('3(x)^3')) |
class register:
plugin_dict = {}
plugin_name = []
@classmethod
def register(cls, plugin_name):
def wrapper(plugin):
cls.plugin_dict[plugin_name] = plugin
return plugin
return wrapper | class Register:
plugin_dict = {}
plugin_name = []
@classmethod
def register(cls, plugin_name):
def wrapper(plugin):
cls.plugin_dict[plugin_name] = plugin
return plugin
return wrapper |
#B
def average(As :list) -> float:
return float(sum(As)/len(As))
def main():
# input
As = list(map(int, input().split()))
# compute
# output
print(average(As))
if __name__ == '__main__':
main()
| def average(As: list) -> float:
return float(sum(As) / len(As))
def main():
as = list(map(int, input().split()))
print(average(As))
if __name__ == '__main__':
main() |
if __name__ == '__main__':
pass
RESULT = 1
# DO NOT REMOVE NEXT LINE - KEEP IT INTENTIONALLY LAST
assert RESULT == 1, ''
| if __name__ == '__main__':
pass
result = 1
assert RESULT == 1, '' |
class ToolNameAPI:
thing = 'thing'
toolname_tool = 'example'
tln = ToolNameAPI()
the_repo = "reponame"
author = "authorname"
profile = "authorprofile" | class Toolnameapi:
thing = 'thing'
toolname_tool = 'example'
tln = tool_name_api()
the_repo = 'reponame'
author = 'authorname'
profile = 'authorprofile' |
class BaseFunction:
def __init__(self, name, n_calls, internal_ns):
self._name = name
self._n_calls = n_calls
self._internal_ns = internal_ns
@property
def name(self):
return self._name
@property
def n_calls(self):
return self._n_calls
@property
def internal_ns(self):
return self._internal_ns
class Lines:
def __init__(self, line_str, n_calls, internal, external):
self._line_str = line_str
self._n_calls = n_calls
self._internal = internal
self._external = external
@property
def text(self):
return self._line_str
@property
def n_calls(self):
return self._n_calls
@property
def internal(self):
return self._internal
@property
def external(self):
return self._external
@property
def total(self):
return self.internal + self.external
class Function(BaseFunction):
def __init__(self, name, lines, n_calls, internal_ns):
self._name = name
self._lines = lines
self._n_calls = n_calls
self._internal_ns = internal_ns
@property
def lines(self):
return self._lines
@property
def name(self):
return self._name
@property
def n_calls(self):
return self._n_calls
@property
def internal_ns(self):
return self._internal_ns
@property
def total(self):
tot = 0
for line in self.lines:
tot += line.total
return tot + self.internal_ns
class Profile:
@staticmethod
def from_data(data):
profile = Profile()
profile._functions = []
for key, fdata in data['functions'].items():
lines = []
for line in fdata['lines']:
line = Lines(line['line_str'], line['n_calls'],
line['internal_ns'], line['external_ns'])
lines.append(line)
func = Function(lines=lines, name=fdata['name'],
n_calls=fdata['n_calls'],
internal_ns=fdata['internal_ns'])
profile._functions.append(func)
return profile
@property
def functions(self):
return self._functions
| class Basefunction:
def __init__(self, name, n_calls, internal_ns):
self._name = name
self._n_calls = n_calls
self._internal_ns = internal_ns
@property
def name(self):
return self._name
@property
def n_calls(self):
return self._n_calls
@property
def internal_ns(self):
return self._internal_ns
class Lines:
def __init__(self, line_str, n_calls, internal, external):
self._line_str = line_str
self._n_calls = n_calls
self._internal = internal
self._external = external
@property
def text(self):
return self._line_str
@property
def n_calls(self):
return self._n_calls
@property
def internal(self):
return self._internal
@property
def external(self):
return self._external
@property
def total(self):
return self.internal + self.external
class Function(BaseFunction):
def __init__(self, name, lines, n_calls, internal_ns):
self._name = name
self._lines = lines
self._n_calls = n_calls
self._internal_ns = internal_ns
@property
def lines(self):
return self._lines
@property
def name(self):
return self._name
@property
def n_calls(self):
return self._n_calls
@property
def internal_ns(self):
return self._internal_ns
@property
def total(self):
tot = 0
for line in self.lines:
tot += line.total
return tot + self.internal_ns
class Profile:
@staticmethod
def from_data(data):
profile = profile()
profile._functions = []
for (key, fdata) in data['functions'].items():
lines = []
for line in fdata['lines']:
line = lines(line['line_str'], line['n_calls'], line['internal_ns'], line['external_ns'])
lines.append(line)
func = function(lines=lines, name=fdata['name'], n_calls=fdata['n_calls'], internal_ns=fdata['internal_ns'])
profile._functions.append(func)
return profile
@property
def functions(self):
return self._functions |
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