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#!/usr/bin/env python #coding: utf-8 # Definition for a binary tree node class TreeNode: def __init__(self, x): self.val = x self.left = None self.right = None class Solution: # @param root, a tree node # @return a list of integers def postorderTraversal(self, root): if not root: return [] leftL = self.postorderTraversal(root.left) rightL = self.postorderTraversal(root.right) return leftL + rightL + [root.val]
class Treenode: def __init__(self, x): self.val = x self.left = None self.right = None class Solution: def postorder_traversal(self, root): if not root: return [] left_l = self.postorderTraversal(root.left) right_l = self.postorderTraversal(root.right) return leftL + rightL + [root.val]
{ "cells": [ { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "append: 0.09872150200000007\n", "concat: 0.10876064500000027\n", "unpack: 0.14667600099999945\n" ] } ], "source": [ "from timeit import timeit\n", "\n", "append = \"\"\"\n", "array1 = [0, 1, 2]\n", "array1.append(3)\n", "\"\"\"\n", "concat = \"\"\"\n", "array2 = [0, 1, 2]\n", "array2 += [3]\n", "\"\"\"\n", "unpack = \"\"\"\n", "array3 = [0, 1, 2]\n", "array3 = [*array3, 3]\n", "\"\"\"\n", "\n", "print(f\"append: {timeit(append)}\")\n", "print(f\"concat: {timeit(concat)}\")\n", "print(f\"unpack: {timeit(unpack)}\")" ] } ], "metadata": { "interpreter": { "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6" }, "kernelspec": { "display_name": "Python 3.8.2 64-bit", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.12" }, "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2 }
{'cells': [{'cell_type': 'code', 'execution_count': 2, 'metadata': {}, 'outputs': [{'name': 'stdout', 'output_type': 'stream', 'text': ['append: 0.09872150200000007\n', 'concat: 0.10876064500000027\n', 'unpack: 0.14667600099999945\n']}], 'source': ['from timeit import timeit\n', '\n', 'append = """\n', 'array1 = [0, 1, 2]\n', 'array1.append(3)\n', '"""\n', 'concat = """\n', 'array2 = [0, 1, 2]\n', 'array2 += [3]\n', '"""\n', 'unpack = """\n', 'array3 = [0, 1, 2]\n', 'array3 = [*array3, 3]\n', '"""\n', '\n', 'print(f"append: {timeit(append)}")\n', 'print(f"concat: {timeit(concat)}")\n', 'print(f"unpack: {timeit(unpack)}")']}], 'metadata': {'interpreter': {'hash': '31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6'}, 'kernelspec': {'display_name': 'Python 3.8.2 64-bit', 'language': 'python', 'name': 'python3'}, 'language_info': {'codemirror_mode': {'name': 'ipython', 'version': 3}, 'file_extension': '.py', 'mimetype': 'text/x-python', 'name': 'python', 'nbconvert_exporter': 'python', 'pygments_lexer': 'ipython3', 'version': '3.8.12'}, 'orig_nbformat': 4}, 'nbformat': 4, 'nbformat_minor': 2}
# Definition for singly-linked list. # class ListNode: # def __init__(self, val=0, next=None): # self.val = val # self.next = next class Solution: def nodesBetweenCriticalPoints(self, head: Optional[ListNode]) -> List[int]: # init if head: p1 = head p2 = p1.next else: return [-1, -1] if p2: p3 = p2.next else: return [-1, -1] if not p3: return [-1, -1] ind = 1 criticalPoints = [] # loop all nodes while p3: if p1.val > p2.val and p3.val > p2.val: criticalPoints.append(ind) if p1.val < p2.val and p3.val < p2.val: criticalPoints.append(ind) # update nodes tmp3 = p3 tmp2 = p2 p3 = tmp3.next p2 = tmp3 p1 = tmp2 ind += 1 # check criticalPoints to return if len(criticalPoints) < 2: return [-1, -1] else: maxD = criticalPoints[-1] - criticalPoints[0] minD = maxD for i in range(1, len(criticalPoints)): if criticalPoints[i] - criticalPoints[i-1] < minD: minD = criticalPoints[i] - criticalPoints[i-1] return [minD, maxD]
class Solution: def nodes_between_critical_points(self, head: Optional[ListNode]) -> List[int]: if head: p1 = head p2 = p1.next else: return [-1, -1] if p2: p3 = p2.next else: return [-1, -1] if not p3: return [-1, -1] ind = 1 critical_points = [] while p3: if p1.val > p2.val and p3.val > p2.val: criticalPoints.append(ind) if p1.val < p2.val and p3.val < p2.val: criticalPoints.append(ind) tmp3 = p3 tmp2 = p2 p3 = tmp3.next p2 = tmp3 p1 = tmp2 ind += 1 if len(criticalPoints) < 2: return [-1, -1] else: max_d = criticalPoints[-1] - criticalPoints[0] min_d = maxD for i in range(1, len(criticalPoints)): if criticalPoints[i] - criticalPoints[i - 1] < minD: min_d = criticalPoints[i] - criticalPoints[i - 1] return [minD, maxD]
# posts model # create an empty list posts=[] def posts_db(): return posts
posts = [] def posts_db(): return posts
while True: try: n, inSeq = int(input()), input().split() inSeq = ''.join(inSeq) stack = '' def outSeq(inSeq, stack): if len(inSeq) == 0: return [''.join(reversed(stack))] if len(stack) == 0: outLater = outSeq(inSeq[1: ], stack + inSeq[0]) return outLater else: head = stack[-1] outNow = [head+x for x in outSeq(inSeq, stack[ :-1]) if len(x)!=0] outLater = outSeq(inSeq[1: ], stack + inSeq[0]) return outNow + outLater r = outSeq(inSeq, stack) # print(len(r)) r = [' '.join(list(x)) for x in r] print('\n'.join(r)) except: break
while True: try: (n, in_seq) = (int(input()), input().split()) in_seq = ''.join(inSeq) stack = '' def out_seq(inSeq, stack): if len(inSeq) == 0: return [''.join(reversed(stack))] if len(stack) == 0: out_later = out_seq(inSeq[1:], stack + inSeq[0]) return outLater else: head = stack[-1] out_now = [head + x for x in out_seq(inSeq, stack[:-1]) if len(x) != 0] out_later = out_seq(inSeq[1:], stack + inSeq[0]) return outNow + outLater r = out_seq(inSeq, stack) r = [' '.join(list(x)) for x in r] print('\n'.join(r)) except: break
GET_USERS = "SELECT users FROM all_users WHERE user_id = '{}'" CREATE_MAIN_TABLE = "CREATE TABLE all_users(user_id text NOT NULL, users text NOT NULL);" ADD_USER = "UPDATE all_users SET users = '{}' WHERE user_id = '{}'" CREATE_USER = "INSERT INTO all_users (user_id, users) VALUES ('{}', ' ')" GET_ALL_IDS = "SELECT user_id from all_users"
get_users = "SELECT users FROM all_users WHERE user_id = '{}'" create_main_table = 'CREATE TABLE all_users(user_id text NOT NULL, users text NOT NULL);' add_user = "UPDATE all_users SET users = '{}' WHERE user_id = '{}'" create_user = "INSERT INTO all_users (user_id, users) VALUES ('{}', ' ')" get_all_ids = 'SELECT user_id from all_users'
class Extractor: def __str__(self): return self.__class__.__name__ class ExtractByCommand(Extractor): def feed(self, command): if not hasattr(self, command['type']): return getattr(self, command['type'])(command)
class Extractor: def __str__(self): return self.__class__.__name__ class Extractbycommand(Extractor): def feed(self, command): if not hasattr(self, command['type']): return getattr(self, command['type'])(command)
REGISTERED_METHODS = [ "ACL", "BASELINE-CONTROL", "BIND", "CHECKIN", "CHECKOUT", "CONNECT", "COPY", "DELETE", "GET", "HEAD", "LABEL", "LINK", "LOCK", "MERGE", "MKACTIVITY", "MKCALENDAR", "MKREDIRECTREF", "MKWORKSPACE", "MOVE", "OPTIONS", "ORDERPATCH", "PATCH", "POST", "PRI", "PROPFIND", "PUT", "QUERY", "REBIND", "REPORT", "SEARCH", "TRACE", "UNBIND", "UNCHECKOUT", "UNLINK", "UNLOCK", "UPDATE", "UPDATEREDIRECTREF", "VERSION-CONTROL", ]
registered_methods = ['ACL', 'BASELINE-CONTROL', 'BIND', 'CHECKIN', 'CHECKOUT', 'CONNECT', 'COPY', 'DELETE', 'GET', 'HEAD', 'LABEL', 'LINK', 'LOCK', 'MERGE', 'MKACTIVITY', 'MKCALENDAR', 'MKREDIRECTREF', 'MKWORKSPACE', 'MOVE', 'OPTIONS', 'ORDERPATCH', 'PATCH', 'POST', 'PRI', 'PROPFIND', 'PUT', 'QUERY', 'REBIND', 'REPORT', 'SEARCH', 'TRACE', 'UNBIND', 'UNCHECKOUT', 'UNLINK', 'UNLOCK', 'UPDATE', 'UPDATEREDIRECTREF', 'VERSION-CONTROL']
def open_file(): '''Remember to put a docstring here''' while True: file_name = input("Input a file name: ") try: fp = open(file_name) break except FileNotFoundError: print("Unable to open file. Please try again.") continue return fp def main(): count = [0 for i in range(9)] percentages = [0 for i in range(9)] expected_percentages = ['30.1','17.6','12.5','9.7','7.9','6.7','5.8','5.1','4.6'] fp = open_file() for line in fp: line = line.strip() try: number = int(line) except (TypeError, ValueError): pass try: number = int(str(line[0])) except ValueError: pass index = number - 1 count[index]+= 1 line_count = sum(count) print("Digit Percent Benford") for x in range(len(count)): percentages[x] = (count[x]/line_count)*100 print("{:3s} {:>10.1f}% ({:>5s}%) ".format(str(x+1)+":",percentages[x],expected_percentages[x])) main()
def open_file(): """Remember to put a docstring here""" while True: file_name = input('Input a file name: ') try: fp = open(file_name) break except FileNotFoundError: print('Unable to open file. Please try again.') continue return fp def main(): count = [0 for i in range(9)] percentages = [0 for i in range(9)] expected_percentages = ['30.1', '17.6', '12.5', '9.7', '7.9', '6.7', '5.8', '5.1', '4.6'] fp = open_file() for line in fp: line = line.strip() try: number = int(line) except (TypeError, ValueError): pass try: number = int(str(line[0])) except ValueError: pass index = number - 1 count[index] += 1 line_count = sum(count) print('Digit Percent Benford') for x in range(len(count)): percentages[x] = count[x] / line_count * 100 print('{:3s} {:>10.1f}% ({:>5s}%) '.format(str(x + 1) + ':', percentages[x], expected_percentages[x])) main()
# # https://projecteuler.net/problem=4 # # Largest palindrome product # Problem 4 # # A palindromic number reads the same both ways. # The largest palindrome made from the product of two 2-digits numers is 9009 = 91 x 99. # Find the largest palindrome made from the product of two 3-digit numbers. # Solution def reverse(a_string): new_string = '' index = len(a_string) while index: index -= 1 # index = index - 1 new_string += a_string[index] # new_string = new_string + character return new_string def isPalindrome(value): s = str(value) # return s == s[::-1] #It is not valid in Micro Python return s == reverse(s) def problem(limit): maxPalindrome = 0 for x in range(limit): for y in range(limit): value = x * y if isPalindrome(value): if (value > maxPalindrome): # print(value) maxPalindrome = value return maxPalindrome # Asserts print(reverse("demo") == "omed") print(isPalindrome(9008) == False) print(isPalindrome(9009) == True) print(problem(100) == 9009) # print(problem(1000) == 906609) #Computational issues for TI-84
def reverse(a_string): new_string = '' index = len(a_string) while index: index -= 1 new_string += a_string[index] return new_string def is_palindrome(value): s = str(value) return s == reverse(s) def problem(limit): max_palindrome = 0 for x in range(limit): for y in range(limit): value = x * y if is_palindrome(value): if value > maxPalindrome: max_palindrome = value return maxPalindrome print(reverse('demo') == 'omed') print(is_palindrome(9008) == False) print(is_palindrome(9009) == True) print(problem(100) == 9009)
class ItemModel: def __init__(self): self.vowels = ['A', 'E', 'I', 'O', 'U'] self.rare_letters = ['X', 'J'] self.other_letters = ['B', 'C', 'D', 'F', 'G', 'H', 'K', 'L', 'M', 'N', 'P', 'Q', 'R', 'S', 'T', 'V', 'W', 'Y', 'Z'] self.items = [ {"id": 1, "name": "A", 'costs': {'amount': 1}, "affects": {}}, {"id": 2, "name": "B", 'costs': {'amount': 1}, "affects": {}}, {"id": 3, "name": "C", 'costs': {'amount': 1}, "affects": {}}, {"id": 4, "name": "D", 'costs': {'amount': 1}, "affects": {}}, {"id": 5, "name": "E", 'costs': {'amount': 1}, "affects": {}}, {"id": 6, "name": "F", 'costs': {'amount': 1}, "affects": {}}, {"id": 7, "name": "G", 'costs': {'amount': 1}, "affects": {}}, {"id": 8, "name": "H", 'costs': {'amount': 1}, "affects": {}}, {"id": 9, "name": "I", 'costs': {'amount': 1}, "affects": {}}, {"id": 10, "name": "J", 'costs': {'amount': 1}, "affects": {}}, {"id": 11, "name": "K", 'costs': {'amount': 1}, "affects": {}}, {"id": 12, "name": "L", 'costs': {'amount': 1}, "affects": {}}, {"id": 13, "name": "M", 'costs': {'amount': 1}, "affects": {}}, {"id": 14, "name": "N", 'costs': {'amount': 1}, "affects": {}}, {"id": 15, "name": "O", 'costs': {'amount': 1}, "affects": {}}, {"id": 16, "name": "P", 'costs': {'amount': 1}, "affects": {}}, {"id": 17, "name": "Q", 'costs': {'amount': 1}, "affects": {}}, {"id": 18, "name": "R", 'costs': {'amount': 1}, "affects": {}}, {"id": 19, "name": "S", 'costs': {'amount': 1}, "affects": {}}, {"id": 20, "name": "T", 'costs': {'amount': 1}, "affects": {}}, {"id": 21, "name": "U", 'costs': {'amount': 1}, "affects": {}}, {"id": 22, "name": "V", 'costs': {'amount': 1}, "affects": {}}, {"id": 23, "name": "W", 'costs': {'amount': 1}, "affects": {}}, {"id": 24, "name": "X", 'costs': {'amount': 1}, "affects": {}}, {"id": 25, "name": "Y", 'costs': {'amount': 1}, "affects": {}}, {"id": 26, "name": "Z", 'costs': {'amount': 1}, "affects": {}} ]
class Itemmodel: def __init__(self): self.vowels = ['A', 'E', 'I', 'O', 'U'] self.rare_letters = ['X', 'J'] self.other_letters = ['B', 'C', 'D', 'F', 'G', 'H', 'K', 'L', 'M', 'N', 'P', 'Q', 'R', 'S', 'T', 'V', 'W', 'Y', 'Z'] self.items = [{'id': 1, 'name': 'A', 'costs': {'amount': 1}, 'affects': {}}, {'id': 2, 'name': 'B', 'costs': {'amount': 1}, 'affects': {}}, {'id': 3, 'name': 'C', 'costs': {'amount': 1}, 'affects': {}}, {'id': 4, 'name': 'D', 'costs': {'amount': 1}, 'affects': {}}, {'id': 5, 'name': 'E', 'costs': {'amount': 1}, 'affects': {}}, {'id': 6, 'name': 'F', 'costs': {'amount': 1}, 'affects': {}}, {'id': 7, 'name': 'G', 'costs': {'amount': 1}, 'affects': {}}, {'id': 8, 'name': 'H', 'costs': {'amount': 1}, 'affects': {}}, {'id': 9, 'name': 'I', 'costs': {'amount': 1}, 'affects': {}}, {'id': 10, 'name': 'J', 'costs': {'amount': 1}, 'affects': {}}, {'id': 11, 'name': 'K', 'costs': {'amount': 1}, 'affects': {}}, {'id': 12, 'name': 'L', 'costs': {'amount': 1}, 'affects': {}}, {'id': 13, 'name': 'M', 'costs': {'amount': 1}, 'affects': {}}, {'id': 14, 'name': 'N', 'costs': {'amount': 1}, 'affects': {}}, {'id': 15, 'name': 'O', 'costs': {'amount': 1}, 'affects': {}}, {'id': 16, 'name': 'P', 'costs': {'amount': 1}, 'affects': {}}, {'id': 17, 'name': 'Q', 'costs': {'amount': 1}, 'affects': {}}, {'id': 18, 'name': 'R', 'costs': {'amount': 1}, 'affects': {}}, {'id': 19, 'name': 'S', 'costs': {'amount': 1}, 'affects': {}}, {'id': 20, 'name': 'T', 'costs': {'amount': 1}, 'affects': {}}, {'id': 21, 'name': 'U', 'costs': {'amount': 1}, 'affects': {}}, {'id': 22, 'name': 'V', 'costs': {'amount': 1}, 'affects': {}}, {'id': 23, 'name': 'W', 'costs': {'amount': 1}, 'affects': {}}, {'id': 24, 'name': 'X', 'costs': {'amount': 1}, 'affects': {}}, {'id': 25, 'name': 'Y', 'costs': {'amount': 1}, 'affects': {}}, {'id': 26, 'name': 'Z', 'costs': {'amount': 1}, 'affects': {}}]
#-*-coding:utf-8-*- def bmi(w, h): bmi = (w/(h**2))*10000.0 if bmi<15.0 : str = "VSU" elif bmi<16.0: str = "SUN" elif bmi<18.5: str = "UND" elif bmi<25.0: str = "NOR" elif bmi<30.0: str = "OVE" elif bmi<35.0: str = "MOV" elif bmi<40.0: str = "SOV" else: str = "VSO" return str def main(): weight = float(input()) height = float(input()) print(bmi(weight, height)) if __name__ == '__main__': main()
def bmi(w, h): bmi = w / h ** 2 * 10000.0 if bmi < 15.0: str = 'VSU' elif bmi < 16.0: str = 'SUN' elif bmi < 18.5: str = 'UND' elif bmi < 25.0: str = 'NOR' elif bmi < 30.0: str = 'OVE' elif bmi < 35.0: str = 'MOV' elif bmi < 40.0: str = 'SOV' else: str = 'VSO' return str def main(): weight = float(input()) height = float(input()) print(bmi(weight, height)) if __name__ == '__main__': main()
class P: def __init__( self, name, alias ): self.name = name # public self.__alias = alias # private def who(self): print('name : ', self.name) print('alias : ', self.__alias) class X: def __init__( self, x ): self.set_x( x ) def get_x( self ): return self.__x def set_x( self, x ): if x > 1000: self.__x = 1000 elif x < 0: self.__x = 0 else: self.__x = x class Y: def __init__( self, x ): self.x = x # self.x is now the @x.setter @property def x( self ): return self.__x # this is a private variable @x.setter def x( self, x ): if x > 1000: self.__x = 1000 elif x < 0: self.__x = 0 else: self.__x = x class S: def __init__( self, name ): self.name = name def __repr__( self ): return f'{self.__dict__}' def __str__( self ): return f'Name: {self.name}' def __add__( self, other ): return S(f'{self.name} {other.name}') class Deck: def __init__( self, cards ): self.cards = list( cards ) def __getitem__( self, key ): return self.cards[key] def __repr__( self ): return f'{self.__dict__}' p = P('Claus', 'clbo') p.who() print( p.__dict__ ) print( p._P__alias ) p._P__alias = 'wow' print ( p._P__alias ) x1 = X( 3 ) x2 = X( 50 ) x1.set_x( x1.get_x() + x2.get_x() ) print ( x1.get_x() ) y1 = Y( 10 ) y2 = Y( 15 ) print( y1.__dict__ ) print ( y1.x ) y1.x = y1.x + y2.x print ( y1.x ) y1._Y__x = -10 print( y1.x ) s1 = S( "Cristian" ) s2 = S( "Valentin" ) s3 = s1.__add__( s2 ) print( s3 ) d1 = Deck( ["K", "A", 2, 3] ) print( d1 ) print ( d1[0] )
class P: def __init__(self, name, alias): self.name = name self.__alias = alias def who(self): print('name : ', self.name) print('alias : ', self.__alias) class X: def __init__(self, x): self.set_x(x) def get_x(self): return self.__x def set_x(self, x): if x > 1000: self.__x = 1000 elif x < 0: self.__x = 0 else: self.__x = x class Y: def __init__(self, x): self.x = x @property def x(self): return self.__x @x.setter def x(self, x): if x > 1000: self.__x = 1000 elif x < 0: self.__x = 0 else: self.__x = x class S: def __init__(self, name): self.name = name def __repr__(self): return f'{self.__dict__}' def __str__(self): return f'Name: {self.name}' def __add__(self, other): return s(f'{self.name} {other.name}') class Deck: def __init__(self, cards): self.cards = list(cards) def __getitem__(self, key): return self.cards[key] def __repr__(self): return f'{self.__dict__}' p = p('Claus', 'clbo') p.who() print(p.__dict__) print(p._P__alias) p._P__alias = 'wow' print(p._P__alias) x1 = x(3) x2 = x(50) x1.set_x(x1.get_x() + x2.get_x()) print(x1.get_x()) y1 = y(10) y2 = y(15) print(y1.__dict__) print(y1.x) y1.x = y1.x + y2.x print(y1.x) y1._Y__x = -10 print(y1.x) s1 = s('Cristian') s2 = s('Valentin') s3 = s1.__add__(s2) print(s3) d1 = deck(['K', 'A', 2, 3]) print(d1) print(d1[0])
class search: def __init__(): pass def ParseSearch(request): tab = {} if request.len > 0: pass pass def search(request): pass
class Search: def __init__(): pass def parse_search(request): tab = {} if request.len > 0: pass pass def search(request): pass
a = int(input()) b = int(input()) c = int(input()) mul = str(a * b * c) for i in range(0, 10): count = 0 for j in mul: if i == int(j): count += 1 print(count)
a = int(input()) b = int(input()) c = int(input()) mul = str(a * b * c) for i in range(0, 10): count = 0 for j in mul: if i == int(j): count += 1 print(count)
#User function Template for python3 # https://gitlab.com/pranav/my-sprints/-/snippets/2215721 ''' Input: a = 5, b = 5, x = 11, # dest = (5, 5), x = 11 Output: 0 | - R - | (-1) * x1 + 1 * x2 = a (-1) * y1 + 1 * y2 = b x1 + x2 + y1 + y2 = x TC: O(1) SC: O(1) --- Exponential TC algorithm: O(1 + 4 + 4^2 + ... + 4^x), SC: O(4^x) 1. Start from 0, 0 2. For each direction posibility: 2.1. Do BFS 2.2. If we touch a,b at any leaf node(after x moves), return 1 else return 0 to_visit.push([0, 0]) step = 0 while(step < x): queue_len = len(to_visit) # number of nodes at this level to be visited id = 0 while(id < queue_len): start = to_visit.pop(0) next_1 = [start[0], start[1] + 1] next_2 = [start[0], start[1] - 1] next_3 = [start[0] + 1, start[1]] next_4 = [start[0] - 1, start[1]] to_visit.push(next_1) to_visit.push(next_2) to_visit.push(next_3) to_visit.push(next_4) id += 1 step += 1 while to_visit: element = to_visit.pop() if (element[0] == a and element[1] == b): return 1 else: continue return 0 --- (a + b) mod x == 0 --- try solving this in 1D: given x units, and 0 starting point, each movement is +1 or -1 given (a, x) return true or false: if a % 2 == 0 and x > a, check x % a == 0, return true else false if a % 2 == 1 and x > a, check x % a == 1 return true ''' class Solution: def canReachBFS(self, a, b, x): to_visit = [] to_visit.append([0, 0]) step = 0 while(step < x): queue_len = len(to_visit) # number of nodes at this level to be visited id = 0 while(id < queue_len): start = to_visit.pop(0) next_1 = [start[0], start[1] + 1] next_2 = [start[0], start[1] - 1] next_3 = [start[0] + 1, start[1]] next_4 = [start[0] - 1, start[1]] to_visit.append(next_1) to_visit.append(next_2) to_visit.append(next_3) to_visit.append(next_4) id += 1 step += 1 while to_visit: element = to_visit.pop() if (element[0] == a and element[1] == b): return 1 else: continue return 0 def canReach(self, a, b, x): # Final solution, TC: O(1), SC: O(1) # code here sum_ab = abs(a) + abs(b) if x < sum_ab: # sanity check return 0 if sum_ab % 2 == x % 2: # (0,0, 8)->1, (0, 0, 7)-> 0 return 1 else: return 0 #{ # Driver Code Starts #Initial Template for Python 3 if __name__ == '__main__': t = int (input ()) for _ in range (t): a,b,x=map(int,input().split()) ob = Solution() print(ob.canReach(a,b,x)) # } Driver Code Ends
""" Input: a = 5, b = 5, x = 11, # dest = (5, 5), x = 11 Output: 0 | - R - | (-1) * x1 + 1 * x2 = a (-1) * y1 + 1 * y2 = b x1 + x2 + y1 + y2 = x TC: O(1) SC: O(1) --- Exponential TC algorithm: O(1 + 4 + 4^2 + ... + 4^x), SC: O(4^x) 1. Start from 0, 0 2. For each direction posibility: 2.1. Do BFS 2.2. If we touch a,b at any leaf node(after x moves), return 1 else return 0 to_visit.push([0, 0]) step = 0 while(step < x): queue_len = len(to_visit) # number of nodes at this level to be visited id = 0 while(id < queue_len): start = to_visit.pop(0) next_1 = [start[0], start[1] + 1] next_2 = [start[0], start[1] - 1] next_3 = [start[0] + 1, start[1]] next_4 = [start[0] - 1, start[1]] to_visit.push(next_1) to_visit.push(next_2) to_visit.push(next_3) to_visit.push(next_4) id += 1 step += 1 while to_visit: element = to_visit.pop() if (element[0] == a and element[1] == b): return 1 else: continue return 0 --- (a + b) mod x == 0 --- try solving this in 1D: given x units, and 0 starting point, each movement is +1 or -1 given (a, x) return true or false: if a % 2 == 0 and x > a, check x % a == 0, return true else false if a % 2 == 1 and x > a, check x % a == 1 return true """ class Solution: def can_reach_bfs(self, a, b, x): to_visit = [] to_visit.append([0, 0]) step = 0 while step < x: queue_len = len(to_visit) id = 0 while id < queue_len: start = to_visit.pop(0) next_1 = [start[0], start[1] + 1] next_2 = [start[0], start[1] - 1] next_3 = [start[0] + 1, start[1]] next_4 = [start[0] - 1, start[1]] to_visit.append(next_1) to_visit.append(next_2) to_visit.append(next_3) to_visit.append(next_4) id += 1 step += 1 while to_visit: element = to_visit.pop() if element[0] == a and element[1] == b: return 1 else: continue return 0 def can_reach(self, a, b, x): sum_ab = abs(a) + abs(b) if x < sum_ab: return 0 if sum_ab % 2 == x % 2: return 1 else: return 0 if __name__ == '__main__': t = int(input()) for _ in range(t): (a, b, x) = map(int, input().split()) ob = solution() print(ob.canReach(a, b, x))
#!/usr/bin/python3 n = int(input()) _ = input() for i in range(n): a = int(input()) print(a*(i+1))
n = int(input()) _ = input() for i in range(n): a = int(input()) print(a * (i + 1))
class NanometerPixelConverter: def __init__(self, pitch_nm: float): self._pitch_nm = pitch_nm def to_pixel(self, value_nm: float) -> int: return int(value_nm / self._pitch_nm) def to_nm(self, value_pixel: int) -> float: return value_pixel * self._pitch_nm
class Nanometerpixelconverter: def __init__(self, pitch_nm: float): self._pitch_nm = pitch_nm def to_pixel(self, value_nm: float) -> int: return int(value_nm / self._pitch_nm) def to_nm(self, value_pixel: int) -> float: return value_pixel * self._pitch_nm
# 399-evaluate-division.py # # Copyright (C) 2019 Sang-Kil Park <likejazz@gmail.com> # All rights reserved. # # This software may be modified and distributed under the terms # of the BSD license. See the LICENSE file for details. class Solution: def calcEquation(self, equations: List[List[str]], values: List[float], queries: List[List[str]]) -> List[float]: # Make bidirectional skeleton graph. graph = {e[0]: [] for e in equations} graph.update({e[1]: [] for e in equations}) for k, v in enumerate(equations): graph[v[0]].append({v[1]: values[k]}) graph[v[1]].append({v[0]: 1 / values[k]}) answers = [] def dfs(fr, to, answer) -> bool: if fr not in graph: return False if fr == to: answers.append(answer) return True # Calculate multiplication via graph order. while graph[fr]: to_list = graph[fr].pop() key = list(to_list.keys())[0] answer *= to_list[key] if dfs(key, to, answer): return True answer /= to_list[key] return False for q in queries: graph_backup = copy.deepcopy(graph) # Start dfs to find two variables given. if not dfs(q[0], q[1], answer=1): answers.append(-1) graph = graph_backup return answers
class Solution: def calc_equation(self, equations: List[List[str]], values: List[float], queries: List[List[str]]) -> List[float]: graph = {e[0]: [] for e in equations} graph.update({e[1]: [] for e in equations}) for (k, v) in enumerate(equations): graph[v[0]].append({v[1]: values[k]}) graph[v[1]].append({v[0]: 1 / values[k]}) answers = [] def dfs(fr, to, answer) -> bool: if fr not in graph: return False if fr == to: answers.append(answer) return True while graph[fr]: to_list = graph[fr].pop() key = list(to_list.keys())[0] answer *= to_list[key] if dfs(key, to, answer): return True answer /= to_list[key] return False for q in queries: graph_backup = copy.deepcopy(graph) if not dfs(q[0], q[1], answer=1): answers.append(-1) graph = graph_backup return answers
def a_kv(n): return n*n*(-1)**n def sumkv(n): return sum(map(a_kv, range(1, n+1))) def mysum(n): if (n % 2) == 0: k = n / 2 print(2*k*k+k) else: k = (n+1) / 2 print(-2*k*k+k) print(sumkv(1)) print(sumkv(2)) print(sumkv(3)) print(sumkv(4)) mysum(1) mysum(2) mysum(3) mysum(4)
def a_kv(n): return n * n * (-1) ** n def sumkv(n): return sum(map(a_kv, range(1, n + 1))) def mysum(n): if n % 2 == 0: k = n / 2 print(2 * k * k + k) else: k = (n + 1) / 2 print(-2 * k * k + k) print(sumkv(1)) print(sumkv(2)) print(sumkv(3)) print(sumkv(4)) mysum(1) mysum(2) mysum(3) mysum(4)
"Utilities for generating starlark source code" def _to_list_attr(list, indent_count = 0, indent_size = 4, quote_value = True): if not list: return "[]" tab = " " * indent_size indent = tab * indent_count result = "[" for v in list: val = "\"{}\"".format(v) if quote_value else v result += "\n%s%s%s," % (indent, tab, val) result += "\n%s]" % indent return result def _to_dict_attr(dict, indent_count = 0, indent_size = 4, quote_key = True, quote_value = True): if not len(dict): return "{}" tab = " " * indent_size indent = tab * indent_count result = "{" for k, v in dict.items(): key = "\"{}\"".format(k) if quote_key else k val = "\"{}\"".format(v) if quote_value else v result += "\n%s%s%s: %s," % (indent, tab, key, val) result += "\n%s}" % indent return result def _to_dict_list_attr(dict, indent_count = 0, indent_size = 4, quote_key = True): if not len(dict): return "{}" tab = " " * indent_size indent = tab * indent_count result = "{" for k, v in dict.items(): key = "\"{}\"".format(k) if quote_key else k result += "\n%s%s%s: %s," % (indent, tab, key, v) result += "\n%s}" % indent return result starlark_codegen_utils = struct( to_list_attr = _to_list_attr, to_dict_attr = _to_dict_attr, to_dict_list_attr = _to_dict_list_attr, )
"""Utilities for generating starlark source code""" def _to_list_attr(list, indent_count=0, indent_size=4, quote_value=True): if not list: return '[]' tab = ' ' * indent_size indent = tab * indent_count result = '[' for v in list: val = '"{}"'.format(v) if quote_value else v result += '\n%s%s%s,' % (indent, tab, val) result += '\n%s]' % indent return result def _to_dict_attr(dict, indent_count=0, indent_size=4, quote_key=True, quote_value=True): if not len(dict): return '{}' tab = ' ' * indent_size indent = tab * indent_count result = '{' for (k, v) in dict.items(): key = '"{}"'.format(k) if quote_key else k val = '"{}"'.format(v) if quote_value else v result += '\n%s%s%s: %s,' % (indent, tab, key, val) result += '\n%s}' % indent return result def _to_dict_list_attr(dict, indent_count=0, indent_size=4, quote_key=True): if not len(dict): return '{}' tab = ' ' * indent_size indent = tab * indent_count result = '{' for (k, v) in dict.items(): key = '"{}"'.format(k) if quote_key else k result += '\n%s%s%s: %s,' % (indent, tab, key, v) result += '\n%s}' % indent return result starlark_codegen_utils = struct(to_list_attr=_to_list_attr, to_dict_attr=_to_dict_attr, to_dict_list_attr=_to_dict_list_attr)
def init(): global originlist, ellipselist, adjmatrix, adjcoordinates, valcount,num,dim,iterate, primA adjmatrix = [] # the adjmatrix is the list of edges that being created adjcoordinates = []; # the adjval gives the dimension coordinates (for plotting for the nth point) valcount = -1; # valcount keeps the number of the value of the point being added to the adjacency tree primA = [] #primA stores the terms for the primary axis. The one to traverse along on the first iteration iterate = 100 #Number of slices to cover the ellipsoid in nD space num = 0; dim = 0;
def init(): global originlist, ellipselist, adjmatrix, adjcoordinates, valcount, num, dim, iterate, primA adjmatrix = [] adjcoordinates = [] valcount = -1 prim_a = [] iterate = 100 num = 0 dim = 0
def add_numbers(numbers): result = 0 for i in numbers: result += i #print("number =", i) return result result = add_numbers([1, 2, 30, 4, 5, 9]) print(result)
def add_numbers(numbers): result = 0 for i in numbers: result += i return result result = add_numbers([1, 2, 30, 4, 5, 9]) print(result)
target_number = 0 increment = 0 while target_number == 0: sum1 = 0 increment += 1 for j in range(1, increment): sum1 += j factors = 0 for k in range(1, int(sum1**.5)+1): if sum1 % k == 0: factors += 1 factors = factors * 2 if factors > 500: target_number = sum1 print(target_number) # 76576500
target_number = 0 increment = 0 while target_number == 0: sum1 = 0 increment += 1 for j in range(1, increment): sum1 += j factors = 0 for k in range(1, int(sum1 ** 0.5) + 1): if sum1 % k == 0: factors += 1 factors = factors * 2 if factors > 500: target_number = sum1 print(target_number)
# Jun - Dangerous Hide-and-Seek : Neglected Rocky Mountain (931000001) if "exp1=1" not in sm.getQRValue(23007): sm.sendNext("Eep! You found me.") sm.sendSay("Eh, I wanted to go further into the wagon, but my head wouldn't fit.") sm.sendSay("Did you find Ulrika and Von yet? Von is really, really good at hiding.\r\n\r\n\r\n\r\n#fUI/UIWindow2.img/QuestIcon/8/0# 5 exp") sm.giveExp(5) sm.addQRValue(23007, "exp1=1") else: sm.sendNext("Did you find Ulrika and Von yet? Von is really, really good at hiding.")
if 'exp1=1' not in sm.getQRValue(23007): sm.sendNext('Eep! You found me.') sm.sendSay("Eh, I wanted to go further into the wagon, but my head wouldn't fit.") sm.sendSay('Did you find Ulrika and Von yet? Von is really, really good at hiding.\r\n\r\n\r\n\r\n#fUI/UIWindow2.img/QuestIcon/8/0# 5 exp') sm.giveExp(5) sm.addQRValue(23007, 'exp1=1') else: sm.sendNext('Did you find Ulrika and Von yet? Von is really, really good at hiding.')
# Create a program that asks the user to enter their name and their age. # Print out a message addressed to them that tells them the year that they will turn 100 years old. print("Insert your name") name = input() print("Insert yor age") age_str = input() age_int = int(age_str) print(f"{name}, you will be {age_int+100} years old in 100 years")
print('Insert your name') name = input() print('Insert yor age') age_str = input() age_int = int(age_str) print(f'{name}, you will be {age_int + 100} years old in 100 years')
def find_player(matrix): for r in range(len(matrix)): for c in range(len(matrix)): if matrix[r][c] == 'P': return r, c def check_valid_cell(size, r, c): return 0 <= r < size and 0 <= c < size string = input() size = int(input()) field = [list(input()) for _ in range(size)] m = int(input()) pr, pc = find_player(field) deltas = {'up': (-1, 0), 'down': (1, 0), 'left': (0, -1), 'right': (0, 1)} for _ in range(m): command = input() next_r, next_c = pr + deltas[command][0], pc + deltas[command][1] if check_valid_cell(size, next_r, next_c): if field[next_r][next_c] != '-': string += field[next_r][next_c] field[next_r][next_c] = 'P' field[pr][pc] = '-' pr, pc = next_r, next_c else: if len(string) > 0: string = string[:-1] print(string) for row in field: print(''.join(row))
def find_player(matrix): for r in range(len(matrix)): for c in range(len(matrix)): if matrix[r][c] == 'P': return (r, c) def check_valid_cell(size, r, c): return 0 <= r < size and 0 <= c < size string = input() size = int(input()) field = [list(input()) for _ in range(size)] m = int(input()) (pr, pc) = find_player(field) deltas = {'up': (-1, 0), 'down': (1, 0), 'left': (0, -1), 'right': (0, 1)} for _ in range(m): command = input() (next_r, next_c) = (pr + deltas[command][0], pc + deltas[command][1]) if check_valid_cell(size, next_r, next_c): if field[next_r][next_c] != '-': string += field[next_r][next_c] field[next_r][next_c] = 'P' field[pr][pc] = '-' (pr, pc) = (next_r, next_c) elif len(string) > 0: string = string[:-1] print(string) for row in field: print(''.join(row))
def weekDay(dayOfTheWeek): d = { 0: 'Sunday', 1: 'Monday', 2: 'Tuesday', 3: 'Wednesday', 4: 'Thursday', 5: 'Friday', 6: 'Saturday' } return d[dayOfTheWeek]
def week_day(dayOfTheWeek): d = {0: 'Sunday', 1: 'Monday', 2: 'Tuesday', 3: 'Wednesday', 4: 'Thursday', 5: 'Friday', 6: 'Saturday'} return d[dayOfTheWeek]
def Load_data(filename): with open(filename) as f: content = f.readlines() content = [x.strip() for x in content] Transaction = [] for i in range(0, len(content)): Transaction.append(content[i].split()) return Transaction #To convert initial transaction into frozenset def create_initialset(dataset): retDict = {} for trans in dataset: retDict[frozenset(trans)] = retDict.get(frozenset(trans), 0) + 1 return retDict #class of FP TREE node class TreeNode: def __init__(self, Node_name,counter,parentNode): self.name = Node_name self.count = counter self.nodeLink = None self.parent = parentNode self.children = {} def increment_counter(self, counter): self.count += counter #To create Headertable and ordered itemsets for FP Tree def create_FPTree(dataset, minSupport): HeaderTable = {} for transaction in dataset: for item in transaction: HeaderTable[item] = HeaderTable.get(item,0) + dataset[transaction] for k in list(HeaderTable): if HeaderTable[k] < minSupport: del(HeaderTable[k]) frequent_itemset = set(HeaderTable.keys()) if len(frequent_itemset) == 0: return None, None for k in HeaderTable: HeaderTable[k] = [HeaderTable[k], None] retTree = TreeNode('Null Set',1,None) my_count = 0 for itemset,count in dataset.items(): print(my_count) my_count += 1 frequent_transaction = {} for item in itemset: if item in frequent_itemset: frequent_transaction[item] = HeaderTable[item][0] if len(frequent_transaction) > 0: #to get ordered itemsets form transactions ordered_itemset = [v[0] for v in sorted(frequent_transaction.items(), key=lambda p: p[1], reverse=True)] #to update the FPTree updateTree(ordered_itemset, retTree, HeaderTable, count) return retTree, HeaderTable #To create the FP Tree using ordered itemsets def updateTree(itemset, FPTree, HeaderTable, count): if itemset[0] in FPTree.children: FPTree.children[itemset[0]].increment_counter(count) else: FPTree.children[itemset[0]] = TreeNode(itemset[0], count, FPTree) if HeaderTable[itemset[0]][1] == None: HeaderTable[itemset[0]][1] = FPTree.children[itemset[0]] else: update_NodeLink(HeaderTable[itemset[0]][1], FPTree.children[itemset[0]]) if len(itemset) > 1: updateTree(itemset[1::], FPTree.children[itemset[0]], HeaderTable, count) #To update the link of node in FP Tree def update_NodeLink(Test_Node, Target_Node): while (Test_Node.nodeLink != None): Test_Node = Test_Node.nodeLink Test_Node.nodeLink = Target_Node #To transverse FPTree in upward direction def FPTree_uptransveral(leaf_Node, prefixPath): if leaf_Node.parent != None: prefixPath.append(leaf_Node.name) FPTree_uptransveral(leaf_Node.parent, prefixPath) #To find conditional Pattern Bases def find_prefix_path(basePat, TreeNode): Conditional_patterns_base = {} while TreeNode != None: prefixPath = [] FPTree_uptransveral(TreeNode, prefixPath) if len(prefixPath) > 1: Conditional_patterns_base[frozenset(prefixPath[1:])] = TreeNode.count TreeNode = TreeNode.nodeLink return Conditional_patterns_base #function to mine recursively conditional patterns base and conditional FP tree def Mine_Tree(FPTree, HeaderTable, minSupport, prefix, frequent_itemset): bigL = [v[0] for v in sorted(HeaderTable.items(),key=lambda p: p[1][0])] for basePat in bigL: new_frequentset = prefix.copy() new_frequentset.add(basePat) #print('basetPat', basePat) #print('new set', new_frequentset) #add frequent itemset to final list of frequent itemsets frequent_itemset[tuple(new_frequentset)] = HeaderTable[basePat][0] #get all conditional pattern bases for item or itemsets Conditional_pattern_bases = find_prefix_path(basePat, HeaderTable[basePat][1]) #call FP Tree construction to make conditional FP Tree Conditional_FPTree, Conditional_header = create_FPTree(Conditional_pattern_bases,minSupport) #print(Conditional_pattern_bases) if Conditional_header != None: Mine_Tree(Conditional_FPTree, Conditional_header, minSupport, new_frequentset, frequent_itemset)
def load_data(filename): with open(filename) as f: content = f.readlines() content = [x.strip() for x in content] transaction = [] for i in range(0, len(content)): Transaction.append(content[i].split()) return Transaction def create_initialset(dataset): ret_dict = {} for trans in dataset: retDict[frozenset(trans)] = retDict.get(frozenset(trans), 0) + 1 return retDict class Treenode: def __init__(self, Node_name, counter, parentNode): self.name = Node_name self.count = counter self.nodeLink = None self.parent = parentNode self.children = {} def increment_counter(self, counter): self.count += counter def create_fp_tree(dataset, minSupport): header_table = {} for transaction in dataset: for item in transaction: HeaderTable[item] = HeaderTable.get(item, 0) + dataset[transaction] for k in list(HeaderTable): if HeaderTable[k] < minSupport: del HeaderTable[k] frequent_itemset = set(HeaderTable.keys()) if len(frequent_itemset) == 0: return (None, None) for k in HeaderTable: HeaderTable[k] = [HeaderTable[k], None] ret_tree = tree_node('Null Set', 1, None) my_count = 0 for (itemset, count) in dataset.items(): print(my_count) my_count += 1 frequent_transaction = {} for item in itemset: if item in frequent_itemset: frequent_transaction[item] = HeaderTable[item][0] if len(frequent_transaction) > 0: ordered_itemset = [v[0] for v in sorted(frequent_transaction.items(), key=lambda p: p[1], reverse=True)] update_tree(ordered_itemset, retTree, HeaderTable, count) return (retTree, HeaderTable) def update_tree(itemset, FPTree, HeaderTable, count): if itemset[0] in FPTree.children: FPTree.children[itemset[0]].increment_counter(count) else: FPTree.children[itemset[0]] = tree_node(itemset[0], count, FPTree) if HeaderTable[itemset[0]][1] == None: HeaderTable[itemset[0]][1] = FPTree.children[itemset[0]] else: update__node_link(HeaderTable[itemset[0]][1], FPTree.children[itemset[0]]) if len(itemset) > 1: update_tree(itemset[1:], FPTree.children[itemset[0]], HeaderTable, count) def update__node_link(Test_Node, Target_Node): while Test_Node.nodeLink != None: test__node = Test_Node.nodeLink Test_Node.nodeLink = Target_Node def fp_tree_uptransveral(leaf_Node, prefixPath): if leaf_Node.parent != None: prefixPath.append(leaf_Node.name) fp_tree_uptransveral(leaf_Node.parent, prefixPath) def find_prefix_path(basePat, TreeNode): conditional_patterns_base = {} while TreeNode != None: prefix_path = [] fp_tree_uptransveral(TreeNode, prefixPath) if len(prefixPath) > 1: Conditional_patterns_base[frozenset(prefixPath[1:])] = TreeNode.count tree_node = TreeNode.nodeLink return Conditional_patterns_base def mine__tree(FPTree, HeaderTable, minSupport, prefix, frequent_itemset): big_l = [v[0] for v in sorted(HeaderTable.items(), key=lambda p: p[1][0])] for base_pat in bigL: new_frequentset = prefix.copy() new_frequentset.add(basePat) frequent_itemset[tuple(new_frequentset)] = HeaderTable[basePat][0] conditional_pattern_bases = find_prefix_path(basePat, HeaderTable[basePat][1]) (conditional_fp_tree, conditional_header) = create_fp_tree(Conditional_pattern_bases, minSupport) if Conditional_header != None: mine__tree(Conditional_FPTree, Conditional_header, minSupport, new_frequentset, frequent_itemset)
description = 'The just-bin-it histogrammer.' devices = dict( det_image1=device( 'nicos_ess.devices.datasources.just_bin_it.JustBinItImage', description='A just-bin-it image channel', hist_topic='ymir_visualisation', data_topic='FREIA_detector', brokers=['172.30.242.20:9092'], unit='evts', hist_type='2-D DET', det_width=32, det_height=192, det_range=(1, 6144), ), det_image2=device( 'nicos_ess.devices.datasources.just_bin_it.JustBinItImage', description='A just-bin-it image channel', hist_topic='ymir_visualisation', data_topic='FREIA_detector', brokers=['172.30.242.20:9092'], unit='evts', hist_type='2-D TOF', det_width=32, det_height=192, ), det=device('nicos_ess.devices.datasources.just_bin_it.JustBinItDetector', description='The just-bin-it histogrammer', brokers=['172.30.242.20:9092'], unit='', command_topic='ymir_jbi_commands', response_topic='ymir_jbi_responses', images=['det_image1', 'det_image2'], ), ) startupcode = ''' SetDetectors(det) '''
description = 'The just-bin-it histogrammer.' devices = dict(det_image1=device('nicos_ess.devices.datasources.just_bin_it.JustBinItImage', description='A just-bin-it image channel', hist_topic='ymir_visualisation', data_topic='FREIA_detector', brokers=['172.30.242.20:9092'], unit='evts', hist_type='2-D DET', det_width=32, det_height=192, det_range=(1, 6144)), det_image2=device('nicos_ess.devices.datasources.just_bin_it.JustBinItImage', description='A just-bin-it image channel', hist_topic='ymir_visualisation', data_topic='FREIA_detector', brokers=['172.30.242.20:9092'], unit='evts', hist_type='2-D TOF', det_width=32, det_height=192), det=device('nicos_ess.devices.datasources.just_bin_it.JustBinItDetector', description='The just-bin-it histogrammer', brokers=['172.30.242.20:9092'], unit='', command_topic='ymir_jbi_commands', response_topic='ymir_jbi_responses', images=['det_image1', 'det_image2'])) startupcode = '\nSetDetectors(det)\n'
class Coverage(object): def __init__(self): self.swaggerTypes = { 'Chrom': 'str', 'BucketSize': 'int', 'MeanCoverage': 'list<int>', 'EndPos': 'int', 'StartPos': 'int' } def __str__(self): return 'Chr' + self.Chrom + ": " + str(self.StartPos) + "-" + str(self.EndPos) +\ ": BucketSize=" + str(self.BucketSize) def __repr__(self): return str(self)
class Coverage(object): def __init__(self): self.swaggerTypes = {'Chrom': 'str', 'BucketSize': 'int', 'MeanCoverage': 'list<int>', 'EndPos': 'int', 'StartPos': 'int'} def __str__(self): return 'Chr' + self.Chrom + ': ' + str(self.StartPos) + '-' + str(self.EndPos) + ': BucketSize=' + str(self.BucketSize) def __repr__(self): return str(self)
DB_TABLES = [] class Table: insertString = "CREATE TABLE {tableName} (" def __init__(self, name, columns): self.name = name self.columns = columns def getQuerry(self): res = self.insertString.format(tableName=self.name) for columns in self.columns: res += columns.getQuerry() + ", " res = res[:-2] res += ")" return res class Column: def __init__(self, name, datatype): self.name = name self.datatype = datatype def getQuerry(self): return "{name} {datatype}".format(name=self.name, datatype=self.datatype) DB_TABLES.append( Table("room", (Column("id", "INTEGER PRIMARY KEY AUTOINCREMENT NOT NULL"), Column("nickname", "TEXT NOT NULL"), Column("temperature", "FLOAT"), Column("humidity", "FLOAT"), Column( "airQuality", "FLOAT"), Column("objectiveSpeed", "INTEGER")))) DB_TABLES.append( Table("sensor_data", ( Column("id", "INTEGER UNIQUE NOT NULL"), Column( "temperature", "FLOAT"), Column( "humidity", "FLOAT"), Column("airQuality", "FLOAT"), Column( "", "FOREIGN KEY ('id') REFERENCES 'room' ('id') ON DELETE CASCADE ON UPDATE CASCADE" )))) DB_TABLES.append( Table("past_sensor_data", ( Column("id", "INTEGER NOT NULL"), Column("temperature", "FLOAT"), Column("humidity", "FLOAT"), Column("airQuality", "FLOAT"), Column("dateTime", "TEXT DEFAULT CURRENT_TIMESTAMP"), Column( "", "FOREIGN KEY ('id') REFERENCES 'room' ('id') ON DELETE CASCADE ON UPDATE CASCADE" )))) DB_TABLES.append( Table("device", ( Column("id", "INTEGER"), Column( "serialNumber", "TEXT NOT NULL UNIQUE"), Column("nickname", "TEXT DEFAULT ''"), Column("curentValue", "FLOAT"), Column( "capabilities", "JSON NOT NULL"), Column("lastUpdate", "datetime"), Column( "", "FOREIGN KEY ('id') REFERENCES 'room' ('id') ON DELETE SET NULL ON UPDATE CASCADE" ))))
db_tables = [] class Table: insert_string = 'CREATE TABLE {tableName} (' def __init__(self, name, columns): self.name = name self.columns = columns def get_querry(self): res = self.insertString.format(tableName=self.name) for columns in self.columns: res += columns.getQuerry() + ', ' res = res[:-2] res += ')' return res class Column: def __init__(self, name, datatype): self.name = name self.datatype = datatype def get_querry(self): return '{name} {datatype}'.format(name=self.name, datatype=self.datatype) DB_TABLES.append(table('room', (column('id', 'INTEGER PRIMARY KEY AUTOINCREMENT NOT NULL'), column('nickname', 'TEXT NOT NULL'), column('temperature', 'FLOAT'), column('humidity', 'FLOAT'), column('airQuality', 'FLOAT'), column('objectiveSpeed', 'INTEGER')))) DB_TABLES.append(table('sensor_data', (column('id', 'INTEGER UNIQUE NOT NULL'), column('temperature', 'FLOAT'), column('humidity', 'FLOAT'), column('airQuality', 'FLOAT'), column('', "FOREIGN KEY ('id') REFERENCES 'room' ('id') ON DELETE CASCADE ON UPDATE CASCADE")))) DB_TABLES.append(table('past_sensor_data', (column('id', 'INTEGER NOT NULL'), column('temperature', 'FLOAT'), column('humidity', 'FLOAT'), column('airQuality', 'FLOAT'), column('dateTime', 'TEXT DEFAULT CURRENT_TIMESTAMP'), column('', "FOREIGN KEY ('id') REFERENCES 'room' ('id') ON DELETE CASCADE ON UPDATE CASCADE")))) DB_TABLES.append(table('device', (column('id', 'INTEGER'), column('serialNumber', 'TEXT NOT NULL UNIQUE'), column('nickname', "TEXT DEFAULT ''"), column('curentValue', 'FLOAT'), column('capabilities', 'JSON NOT NULL'), column('lastUpdate', 'datetime'), column('', "FOREIGN KEY ('id') REFERENCES 'room' ('id') ON DELETE SET NULL ON UPDATE CASCADE"))))
### create list_of_tuples: points = [ (1,2), (3,4), (5,6) ] ### retrieve the first element from the first tuple: print(points[0][0]) # 1 ### retrieve the last element from the first tuple: print(points[0][-1]) # 2 ### retrieve the first element from the last tuple: print(points[-1][0]) # 5 ### retrieve the last element from the last tuple: print(points[-1][-1]) # 6
points = [(1, 2), (3, 4), (5, 6)] print(points[0][0]) print(points[0][-1]) print(points[-1][0]) print(points[-1][-1])
def to_string(val): if val is None: return '' else: return str(val)
def to_string(val): if val is None: return '' else: return str(val)
x = int(input()) b = bool(input()) int_one_int_op_int_id = x + 0 int_one_int_op_bool_id = x + False int_one_bool_op_int_id = x | 0 int_one_bool_op_bool_id = x | False int_many_int_op_int_id = x + x + 0 int_many_int_op_bool_id = x + x + False int_many_bool_op_int_id = x | x | 0 int_many_bool_op_bool_id = x | x | False bool_one_int_op_int_id = b + 0 bool_one_int_op_bool_id = b + False bool_one_bool_op_int_id = b | 0 bool_one_bool_op_bool_id = b | False bool_many_int_op_int_id = b + b + 0 bool_many_int_op_bool_id = b + b + False bool_many_bool_op_int_id = b | b | 0 bool_many_bool_op_bool_id = b | b | False
x = int(input()) b = bool(input()) int_one_int_op_int_id = x + 0 int_one_int_op_bool_id = x + False int_one_bool_op_int_id = x | 0 int_one_bool_op_bool_id = x | False int_many_int_op_int_id = x + x + 0 int_many_int_op_bool_id = x + x + False int_many_bool_op_int_id = x | x | 0 int_many_bool_op_bool_id = x | x | False bool_one_int_op_int_id = b + 0 bool_one_int_op_bool_id = b + False bool_one_bool_op_int_id = b | 0 bool_one_bool_op_bool_id = b | False bool_many_int_op_int_id = b + b + 0 bool_many_int_op_bool_id = b + b + False bool_many_bool_op_int_id = b | b | 0 bool_many_bool_op_bool_id = b | b | False
attr = [[164, 5, 4, 3, 2, 1, 11, 10, 9, 8, 7, 6, 12, 14, 13, 15, 18, 16, 17, 19, 20, 22, 21, 25, 24, 23, 28, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76], [163, 77, 78, 79, 80, 81], [162, 82, 83, 84], [161, 85, 86], [160, 87, 88], [159, 89], [158, 90], [157, 91], [156, 92], [155, 93], [154, 94], [153, 95], [152, 96], [151, 97], [150, 98], [149, 99], [148, 100], [147, 101], [146, 102], [145, 103], [144, 104], [143, 105], [142, 106], [141, 107], [140, 108], [139, 109], [138, 110], [137, 111], [136, 112], [135, 113], [134, 114], [133, 115], [132, 116], [131, 117], [130, 118], [129, 119], [128, 120], [127, 121], [126, 122], [125, 123]] # print(attr) a,arr= [],[] theta = 1000000 with open('C:\\Users\\91865\\Desktop\\SusyInput') as file:# C:\\Users\\91865\\Desktop\\SusyInput for line in file: line = line.strip() new_line = line.replace('\t', ' ') a = new_line.split(' ') a = [int(i) for i in a] arr.append(a) a = [] # print(arr) # alter the array to store only attributes for i in range(len(arr)): arr[i] = arr[i][1:] # print(arr[i]) su = 0 ans = [] s = set() for i in attr: for k in i: for j in range(len(arr)): if k in arr[j]: s.add(j + 1) # adding objects su += len(s) # print(k,len(s),theta - len(s)) s.clear() print(su,theta - su) su = 0
attr = [[164, 5, 4, 3, 2, 1, 11, 10, 9, 8, 7, 6, 12, 14, 13, 15, 18, 16, 17, 19, 20, 22, 21, 25, 24, 23, 28, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76], [163, 77, 78, 79, 80, 81], [162, 82, 83, 84], [161, 85, 86], [160, 87, 88], [159, 89], [158, 90], [157, 91], [156, 92], [155, 93], [154, 94], [153, 95], [152, 96], [151, 97], [150, 98], [149, 99], [148, 100], [147, 101], [146, 102], [145, 103], [144, 104], [143, 105], [142, 106], [141, 107], [140, 108], [139, 109], [138, 110], [137, 111], [136, 112], [135, 113], [134, 114], [133, 115], [132, 116], [131, 117], [130, 118], [129, 119], [128, 120], [127, 121], [126, 122], [125, 123]] (a, arr) = ([], []) theta = 1000000 with open('C:\\Users\\91865\\Desktop\\SusyInput') as file: for line in file: line = line.strip() new_line = line.replace('\t', ' ') a = new_line.split(' ') a = [int(i) for i in a] arr.append(a) a = [] for i in range(len(arr)): arr[i] = arr[i][1:] su = 0 ans = [] s = set() for i in attr: for k in i: for j in range(len(arr)): if k in arr[j]: s.add(j + 1) su += len(s) s.clear() print(su, theta - su) su = 0
#!/usr/bin/python3 def safeDivide(x,y): try: a = x/y except: a = 0 finally: return a print(safeDivide(10,0)) # Can also specify a particular exception.. def this_fails(): x = 1/0 try: this_fails() except ZeroDivisionError as errmsg: print('I am handling a run-time error:', errmsg)
def safe_divide(x, y): try: a = x / y except: a = 0 finally: return a print(safe_divide(10, 0)) def this_fails(): x = 1 / 0 try: this_fails() except ZeroDivisionError as errmsg: print('I am handling a run-time error:', errmsg)
# Copyright 2009-2017 Ram Rachum. # This program is distributed under the MIT license. class CuteBaseTimer: '''A base class for timers, allowing easy central stopping.''' __timers = [] # todo: change to weakref list def __init__(self, parent): self.__parent = parent CuteBaseTimer.__timers.append(self) @staticmethod # should be classmethod? def stop_timers_by_frame(frame): '''Stop all the timers that are associated with the given frame.''' for timer in CuteBaseTimer.__timers: ancestor = timer.__parent while ancestor: if ancestor == frame: timer.Stop() break ancestor = ancestor.GetParent()
class Cutebasetimer: """A base class for timers, allowing easy central stopping.""" __timers = [] def __init__(self, parent): self.__parent = parent CuteBaseTimer.__timers.append(self) @staticmethod def stop_timers_by_frame(frame): """Stop all the timers that are associated with the given frame.""" for timer in CuteBaseTimer.__timers: ancestor = timer.__parent while ancestor: if ancestor == frame: timer.Stop() break ancestor = ancestor.GetParent()
def sep_str(): inp = input(str("Enter word/words with '*' sign wherever you want: ")).rsplit("*", 1)[0] return inp print(sep_str())
def sep_str(): inp = input(str("Enter word/words with '*' sign wherever you want: ")).rsplit('*', 1)[0] return inp print(sep_str())
ONE_DAY_IN_SEC = 86400 SCHEMA_VERSION = "2018-10-08" NOT_APPLICABLE = "N/A" ASFF_TYPE = "Unusual Behaviors/Application/ForcepointCASB" BLANK = "blank" OTHER = "Other" SAAS_SECURITY_GATEWAY = "SaaS Security Gateway" RESOURCES_OTHER_FIELDS_LST = [ "Name", "suid", "suser", "duser", "act", "cat", "cs1", "app", "deviceFacility", "deviceProcessName", "dpriv", "end", "externalId", "fsize", "msg", "proto", "reason", "request", "requestClientApplication", "rt", "sourceServiceName", "cs2", "cs3", "cs5", "cs6", "AD.ThreatRadarCategory", "AD.TORNetworks", "AD.MaliciousIPs", "AD.AnonymousProxies", "AD.IPChain", "AD.IPOrigin", "AD.samAccountName", "dproc", "flexString1", "flexString2", "cn1", "duid", "oldFileId", "oldFileName", "fname", "dhost", "dvc", "dvchost", "destinationProcessName", "record", "cs4", ] BATCH_LOG_FILE_NAME = "casb-siem-aws-missed.log" STREAM_LOG_FILE_NAME = "casb-siem-aws.log" CEF_EXT = ".cef" AWS_SECURITYHUB_BATCH_LIMIT = 100 AWS_LIMIT_TIME_IN_DAYS = 90 DEFAULT_INSIGHTS_FILE = "insights.json" INSIGHTS_ARNS_FILE = "insights_arns.json" CLOUDFORMATION_STACK_NAME = "SecurityHubEnabled" CLOUDFORMATION_STACK_TEMPLATE_FILE = "cloudFormation-stack.json" MAX_RETRIES = 60 # equivalent to 5 minutes (waiting 5 seconds per attempt) CRITICAL = "CRITICAL" HIGH = "HIGH" MEDIUM = "MEDIUM" LOW = "LOW" INFORMATIONAL = "INFORMATIONAL"
one_day_in_sec = 86400 schema_version = '2018-10-08' not_applicable = 'N/A' asff_type = 'Unusual Behaviors/Application/ForcepointCASB' blank = 'blank' other = 'Other' saas_security_gateway = 'SaaS Security Gateway' resources_other_fields_lst = ['Name', 'suid', 'suser', 'duser', 'act', 'cat', 'cs1', 'app', 'deviceFacility', 'deviceProcessName', 'dpriv', 'end', 'externalId', 'fsize', 'msg', 'proto', 'reason', 'request', 'requestClientApplication', 'rt', 'sourceServiceName', 'cs2', 'cs3', 'cs5', 'cs6', 'AD.ThreatRadarCategory', 'AD.TORNetworks', 'AD.MaliciousIPs', 'AD.AnonymousProxies', 'AD.IPChain', 'AD.IPOrigin', 'AD.samAccountName', 'dproc', 'flexString1', 'flexString2', 'cn1', 'duid', 'oldFileId', 'oldFileName', 'fname', 'dhost', 'dvc', 'dvchost', 'destinationProcessName', 'record', 'cs4'] batch_log_file_name = 'casb-siem-aws-missed.log' stream_log_file_name = 'casb-siem-aws.log' cef_ext = '.cef' aws_securityhub_batch_limit = 100 aws_limit_time_in_days = 90 default_insights_file = 'insights.json' insights_arns_file = 'insights_arns.json' cloudformation_stack_name = 'SecurityHubEnabled' cloudformation_stack_template_file = 'cloudFormation-stack.json' max_retries = 60 critical = 'CRITICAL' high = 'HIGH' medium = 'MEDIUM' low = 'LOW' informational = 'INFORMATIONAL'
input_file = open("input.txt","r") input_lines = input_file.readlines() #print(*input_lines) rules = [] tickets = [] for line in input_lines: if line[0].isalpha() and 'or' in line: #print("Rule") firstLow = line.split(' ')[-3].split('-')[0] firstHigh = line.split(' ')[-3].split('-')[1] secondLow = line.split(' ')[-1].split('-')[0] secondHigh = line.split(' ')[-1].split('-')[1][:-1] rules.append([firstLow, firstHigh, secondLow, secondHigh]) #elif line[0].isalpha(): #print("Your/nearby ticket") elif line[0].isnumeric(): tickets.append(line.strip().split(',')) #print("Ticket") #print(rules) #print(tickets) error_rate = 0 for ticket in tickets[1:]: #loop through each ticket, also skip the first one for field in ticket: #Loop through each field for rule in rules: #Loop through each rule if (int(rule[0]) <= int(field) <= int(rule[1])) or (int(rule[2]) <= int(field) <= int(rule[3])): break if rule == rules[-1]: error_rate += int(field) print("Error rate:", error_rate)
input_file = open('input.txt', 'r') input_lines = input_file.readlines() rules = [] tickets = [] for line in input_lines: if line[0].isalpha() and 'or' in line: first_low = line.split(' ')[-3].split('-')[0] first_high = line.split(' ')[-3].split('-')[1] second_low = line.split(' ')[-1].split('-')[0] second_high = line.split(' ')[-1].split('-')[1][:-1] rules.append([firstLow, firstHigh, secondLow, secondHigh]) elif line[0].isnumeric(): tickets.append(line.strip().split(',')) error_rate = 0 for ticket in tickets[1:]: for field in ticket: for rule in rules: if int(rule[0]) <= int(field) <= int(rule[1]) or int(rule[2]) <= int(field) <= int(rule[3]): break if rule == rules[-1]: error_rate += int(field) print('Error rate:', error_rate)
# # PySNMP MIB module PANASAS-BLADESET-MIB-V1 (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/PANASAS-BLADESET-MIB-V1 # Produced by pysmi-0.3.4 at Mon Apr 29 20:27:54 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, OctetString, Integer = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "OctetString", "Integer") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ValueSizeConstraint, ValueRangeConstraint, SingleValueConstraint, ConstraintsIntersection, ConstraintsUnion = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "ValueRangeConstraint", "SingleValueConstraint", "ConstraintsIntersection", "ConstraintsUnion") panFs, = mibBuilder.importSymbols("PANASAS-PANFS-MIB-V1", "panFs") PanSerialNumber, = mibBuilder.importSymbols("PANASAS-TC-MIB", "PanSerialNumber") ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup") Bits, MibScalar, MibTable, MibTableRow, MibTableColumn, IpAddress, ObjectIdentity, Integer32, Unsigned32, MibIdentifier, NotificationType, ModuleIdentity, TimeTicks, Counter64, Gauge32, Counter32, iso = mibBuilder.importSymbols("SNMPv2-SMI", "Bits", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "IpAddress", "ObjectIdentity", "Integer32", "Unsigned32", "MibIdentifier", "NotificationType", "ModuleIdentity", "TimeTicks", "Counter64", "Gauge32", "Counter32", "iso") DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention") panBSet = ModuleIdentity((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3)) panBSet.setRevisions(('2011-04-07 00:00',)) if mibBuilder.loadTexts: panBSet.setLastUpdated('201104070000Z') if mibBuilder.loadTexts: panBSet.setOrganization('Panasas, Inc') panBSetTable = MibTable((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 1), ) if mibBuilder.loadTexts: panBSetTable.setStatus('current') panBSetEntry = MibTableRow((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 1, 1), ).setIndexNames((0, "PANASAS-BLADESET-MIB-V1", "panBSetName")) if mibBuilder.loadTexts: panBSetEntry.setStatus('current') panBSetName = MibTableColumn((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 1, 1, 1), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: panBSetName.setStatus('current') panBSetNumBlades = MibTableColumn((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 1, 1, 2), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: panBSetNumBlades.setStatus('current') panBSetAvailSpares = MibTableColumn((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 1, 1, 3), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: panBSetAvailSpares.setStatus('current') panBSetRequestedSpares = MibTableColumn((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 1, 1, 4), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: panBSetRequestedSpares.setStatus('current') panBSetTotalCapacity = MibTableColumn((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 1, 1, 5), Unsigned32()).setMaxAccess("readonly") if mibBuilder.loadTexts: panBSetTotalCapacity.setStatus('current') panBSetReservedCapacity = MibTableColumn((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 1, 1, 6), Unsigned32()).setMaxAccess("readonly") if mibBuilder.loadTexts: panBSetReservedCapacity.setStatus('current') panBSetUsedCapacity = MibTableColumn((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 1, 1, 7), Unsigned32()).setMaxAccess("readonly") if mibBuilder.loadTexts: panBSetUsedCapacity.setStatus('current') panBSetAvailableCapacity = MibTableColumn((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 1, 1, 8), Unsigned32()).setMaxAccess("readonly") if mibBuilder.loadTexts: panBSetAvailableCapacity.setStatus('current') panBSetInfo = MibTableColumn((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 1, 1, 9), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: panBSetInfo.setStatus('current') panBSetBladesTable = MibTable((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 2), ) if mibBuilder.loadTexts: panBSetBladesTable.setStatus('obsolete') panBSetBladesEntry = MibTableRow((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 2, 1), ).setIndexNames((0, "PANASAS-BLADESET-MIB-V1", "panBSetName"), (0, "PANASAS-BLADESET-MIB-V1", "panBSetBladeIndex")) if mibBuilder.loadTexts: panBSetBladesEntry.setStatus('obsolete') panBSetBladeIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 2, 1, 1), Unsigned32()).setMaxAccess("readonly") if mibBuilder.loadTexts: panBSetBladeIndex.setStatus('obsolete') panBSetBladeHwSn = MibTableColumn((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 2, 1, 2), PanSerialNumber()).setMaxAccess("readonly") if mibBuilder.loadTexts: panBSetBladeHwSn.setStatus('obsolete') mibBuilder.exportSymbols("PANASAS-BLADESET-MIB-V1", panBSetTotalCapacity=panBSetTotalCapacity, panBSetInfo=panBSetInfo, panBSetRequestedSpares=panBSetRequestedSpares, panBSetBladesTable=panBSetBladesTable, panBSetNumBlades=panBSetNumBlades, panBSetBladesEntry=panBSetBladesEntry, PYSNMP_MODULE_ID=panBSet, panBSetUsedCapacity=panBSetUsedCapacity, panBSetAvailableCapacity=panBSetAvailableCapacity, panBSetTable=panBSetTable, panBSetName=panBSetName, panBSetReservedCapacity=panBSetReservedCapacity, panBSetEntry=panBSetEntry, panBSetBladeIndex=panBSetBladeIndex, panBSetAvailSpares=panBSetAvailSpares, panBSet=panBSet, panBSetBladeHwSn=panBSetBladeHwSn)
(object_identifier, octet_string, integer) = mibBuilder.importSymbols('ASN1', 'ObjectIdentifier', 'OctetString', 'Integer') (named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues') (value_size_constraint, value_range_constraint, single_value_constraint, constraints_intersection, constraints_union) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ValueSizeConstraint', 'ValueRangeConstraint', 'SingleValueConstraint', 'ConstraintsIntersection', 'ConstraintsUnion') (pan_fs,) = mibBuilder.importSymbols('PANASAS-PANFS-MIB-V1', 'panFs') (pan_serial_number,) = mibBuilder.importSymbols('PANASAS-TC-MIB', 'PanSerialNumber') (module_compliance, notification_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ModuleCompliance', 'NotificationGroup') (bits, mib_scalar, mib_table, mib_table_row, mib_table_column, ip_address, object_identity, integer32, unsigned32, mib_identifier, notification_type, module_identity, time_ticks, counter64, gauge32, counter32, iso) = mibBuilder.importSymbols('SNMPv2-SMI', 'Bits', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'IpAddress', 'ObjectIdentity', 'Integer32', 'Unsigned32', 'MibIdentifier', 'NotificationType', 'ModuleIdentity', 'TimeTicks', 'Counter64', 'Gauge32', 'Counter32', 'iso') (display_string, textual_convention) = mibBuilder.importSymbols('SNMPv2-TC', 'DisplayString', 'TextualConvention') pan_b_set = module_identity((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3)) panBSet.setRevisions(('2011-04-07 00:00',)) if mibBuilder.loadTexts: panBSet.setLastUpdated('201104070000Z') if mibBuilder.loadTexts: panBSet.setOrganization('Panasas, Inc') pan_b_set_table = mib_table((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 1)) if mibBuilder.loadTexts: panBSetTable.setStatus('current') pan_b_set_entry = mib_table_row((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 1, 1)).setIndexNames((0, 'PANASAS-BLADESET-MIB-V1', 'panBSetName')) if mibBuilder.loadTexts: panBSetEntry.setStatus('current') pan_b_set_name = mib_table_column((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 1, 1, 1), display_string()).setMaxAccess('readonly') if mibBuilder.loadTexts: panBSetName.setStatus('current') pan_b_set_num_blades = mib_table_column((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 1, 1, 2), display_string()).setMaxAccess('readonly') if mibBuilder.loadTexts: panBSetNumBlades.setStatus('current') pan_b_set_avail_spares = mib_table_column((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 1, 1, 3), display_string()).setMaxAccess('readonly') if mibBuilder.loadTexts: panBSetAvailSpares.setStatus('current') pan_b_set_requested_spares = mib_table_column((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 1, 1, 4), display_string()).setMaxAccess('readonly') if mibBuilder.loadTexts: panBSetRequestedSpares.setStatus('current') pan_b_set_total_capacity = mib_table_column((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 1, 1, 5), unsigned32()).setMaxAccess('readonly') if mibBuilder.loadTexts: panBSetTotalCapacity.setStatus('current') pan_b_set_reserved_capacity = mib_table_column((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 1, 1, 6), unsigned32()).setMaxAccess('readonly') if mibBuilder.loadTexts: panBSetReservedCapacity.setStatus('current') pan_b_set_used_capacity = mib_table_column((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 1, 1, 7), unsigned32()).setMaxAccess('readonly') if mibBuilder.loadTexts: panBSetUsedCapacity.setStatus('current') pan_b_set_available_capacity = mib_table_column((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 1, 1, 8), unsigned32()).setMaxAccess('readonly') if mibBuilder.loadTexts: panBSetAvailableCapacity.setStatus('current') pan_b_set_info = mib_table_column((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 1, 1, 9), display_string()).setMaxAccess('readonly') if mibBuilder.loadTexts: panBSetInfo.setStatus('current') pan_b_set_blades_table = mib_table((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 2)) if mibBuilder.loadTexts: panBSetBladesTable.setStatus('obsolete') pan_b_set_blades_entry = mib_table_row((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 2, 1)).setIndexNames((0, 'PANASAS-BLADESET-MIB-V1', 'panBSetName'), (0, 'PANASAS-BLADESET-MIB-V1', 'panBSetBladeIndex')) if mibBuilder.loadTexts: panBSetBladesEntry.setStatus('obsolete') pan_b_set_blade_index = mib_table_column((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 2, 1, 1), unsigned32()).setMaxAccess('readonly') if mibBuilder.loadTexts: panBSetBladeIndex.setStatus('obsolete') pan_b_set_blade_hw_sn = mib_table_column((1, 3, 6, 1, 4, 1, 10159, 1, 3, 3, 2, 1, 2), pan_serial_number()).setMaxAccess('readonly') if mibBuilder.loadTexts: panBSetBladeHwSn.setStatus('obsolete') mibBuilder.exportSymbols('PANASAS-BLADESET-MIB-V1', panBSetTotalCapacity=panBSetTotalCapacity, panBSetInfo=panBSetInfo, panBSetRequestedSpares=panBSetRequestedSpares, panBSetBladesTable=panBSetBladesTable, panBSetNumBlades=panBSetNumBlades, panBSetBladesEntry=panBSetBladesEntry, PYSNMP_MODULE_ID=panBSet, panBSetUsedCapacity=panBSetUsedCapacity, panBSetAvailableCapacity=panBSetAvailableCapacity, panBSetTable=panBSetTable, panBSetName=panBSetName, panBSetReservedCapacity=panBSetReservedCapacity, panBSetEntry=panBSetEntry, panBSetBladeIndex=panBSetBladeIndex, panBSetAvailSpares=panBSetAvailSpares, panBSet=panBSet, panBSetBladeHwSn=panBSetBladeHwSn)
#!/usr/bin/env python3 def step(n): if n%2==0: return n/2 else: return 3*n + 1 def to_one(n): count = 0 while n != 1: n = step(n) count += 1 return count def all_chains(highest): for i in range(1, highest): yield (i, to_one(i)) print(max( all_chains(1000000), key=(lambda x: x[1]) ))
def step(n): if n % 2 == 0: return n / 2 else: return 3 * n + 1 def to_one(n): count = 0 while n != 1: n = step(n) count += 1 return count def all_chains(highest): for i in range(1, highest): yield (i, to_one(i)) print(max(all_chains(1000000), key=lambda x: x[1]))
#program to check whether every even index contains an even number # and every odd index contains odd number of a given list. def odd_even_position(nums): return all(nums[i]%2==i%2 for i in range(len(nums))) print(odd_even_position([2, 1, 4, 3, 6, 7, 6, 3])) print(odd_even_position([2, 1, 4, 3, 6, 7, 6, 4])) print(odd_even_position([4, 1, 2]))
def odd_even_position(nums): return all((nums[i] % 2 == i % 2 for i in range(len(nums)))) print(odd_even_position([2, 1, 4, 3, 6, 7, 6, 3])) print(odd_even_position([2, 1, 4, 3, 6, 7, 6, 4])) print(odd_even_position([4, 1, 2]))
love = 'I would love to be in ' places = [ 'zion', 'bryce', 'moab', 'arches', 'candyland', 'sedona'] for x in places: print(x)
love = 'I would love to be in ' places = ['zion', 'bryce', 'moab', 'arches', 'candyland', 'sedona'] for x in places: print(x)
# Copyright (c) Meta Platforms, Inc. and affiliates. # # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. load("//antlir/bzl:constants.bzl", "REPO_CFG") def check_flavor_exists(flavor): if flavor not in REPO_CFG.flavor_to_config: fail( "{} must be in {}" .format(flavor, list(REPO_CFG.flavor_to_config)), "flavor", )
load('//antlir/bzl:constants.bzl', 'REPO_CFG') def check_flavor_exists(flavor): if flavor not in REPO_CFG.flavor_to_config: fail('{} must be in {}'.format(flavor, list(REPO_CFG.flavor_to_config)), 'flavor')
# ====================================================================== # Subterranean Sustainability # Advent of Code 2018 Day 12 -- Eric Wastl -- https://adventofcode.com # # Python implementation by Dr. Dean Earl Wright III # ====================================================================== # ====================================================================== # p o t s . p y # ====================================================================== "A solver for the Advent of Code 2018 Day 12 puzzle" # ---------------------------------------------------------------------- # import # ---------------------------------------------------------------------- # ---------------------------------------------------------------------- # constants # ---------------------------------------------------------------------- GENERATIONS = 20 P2_GENERATIONS = 50000000000 P2_100 = 2675 P2_DELTA = 22 # ====================================================================== # Pots # ====================================================================== class Pots(object): # pylint: disable=R0902, R0205 "Object for Subterranean Sustainability" def __init__(self, generations=GENERATIONS, text=None, part2=False): # 1. Set the initial values self.part2 = part2 self.text = text self.pots = '' self.rules = {} self.left = 0 self.generations = generations # 2. Process text (if any) if text is not None and len(text) > 3: self.processText(text) def processText(self, text): self.pots = '.' * self.generations self.left = -self.generations self.processInitialState(text[0]) self.processRules(text[1:]) def processInitialState(self, line): parts = line.split(' ') if parts[0] != 'initial' or parts[1] != 'state:': print("*** Expected 'initial state' but found '%s %s'" % (parts[0], parts[1])) return self.pots = self.pots + parts[2] + self.pots def processRules(self, text): for line in text: parts = line.split(' ') if parts[1] != '=>': print("*** Expected '=>' but found '%s'" % parts[1]) return self.rules[parts[0]] = parts[2] def next(self, index): current = self.pots[index-2:index+3] if current in self.rules: return self.rules[current] return '.' def next_generation(self): result = ['.','.'] for index in range(2, len(self.pots)-2): result.append(self.next(index)) return ''.join(result) + '..' def sum_pots(self): result = 0 value = self.left for pot in self.pots: if pot == '#': result += value value += 1 return result def run(self, verbose=False): for gen in range(1, self.generations+1): next_gen = self.next_generation() self.pots = next_gen if verbose: print("%2d: %5d %s" % (gen, self.sum_pots(), next_gen)) def part_one(self, verbose=False, limit=0): "Returns the solution for part one" # 1. Return the solution for part one self.run(verbose=verbose) return self.sum_pots() def part_two(self, verbose=False, limit=0): "Returns the solution for part two" # 1. Return the solution for part two return P2_100 + P2_DELTA * (P2_GENERATIONS - 100) # ---------------------------------------------------------------------- # module initialization # ---------------------------------------------------------------------- if __name__ == '__main__': pass # ====================================================================== # end p o t s . p y end # ======================================================================
"""A solver for the Advent of Code 2018 Day 12 puzzle""" generations = 20 p2_generations = 50000000000 p2_100 = 2675 p2_delta = 22 class Pots(object): """Object for Subterranean Sustainability""" def __init__(self, generations=GENERATIONS, text=None, part2=False): self.part2 = part2 self.text = text self.pots = '' self.rules = {} self.left = 0 self.generations = generations if text is not None and len(text) > 3: self.processText(text) def process_text(self, text): self.pots = '.' * self.generations self.left = -self.generations self.processInitialState(text[0]) self.processRules(text[1:]) def process_initial_state(self, line): parts = line.split(' ') if parts[0] != 'initial' or parts[1] != 'state:': print("*** Expected 'initial state' but found '%s %s'" % (parts[0], parts[1])) return self.pots = self.pots + parts[2] + self.pots def process_rules(self, text): for line in text: parts = line.split(' ') if parts[1] != '=>': print("*** Expected '=>' but found '%s'" % parts[1]) return self.rules[parts[0]] = parts[2] def next(self, index): current = self.pots[index - 2:index + 3] if current in self.rules: return self.rules[current] return '.' def next_generation(self): result = ['.', '.'] for index in range(2, len(self.pots) - 2): result.append(self.next(index)) return ''.join(result) + '..' def sum_pots(self): result = 0 value = self.left for pot in self.pots: if pot == '#': result += value value += 1 return result def run(self, verbose=False): for gen in range(1, self.generations + 1): next_gen = self.next_generation() self.pots = next_gen if verbose: print('%2d: %5d %s' % (gen, self.sum_pots(), next_gen)) def part_one(self, verbose=False, limit=0): """Returns the solution for part one""" self.run(verbose=verbose) return self.sum_pots() def part_two(self, verbose=False, limit=0): """Returns the solution for part two""" return P2_100 + P2_DELTA * (P2_GENERATIONS - 100) if __name__ == '__main__': pass
#Python program to remove the n'th # index character from a nonempty string. inputStr = "akfjljfldksgnlfskgjlsjf" n = 5 def abc(inputStr, n): if n > len(inputStr): print("invalid 'n'.") return 0 return inputStr[0:n-1] + inputStr[n:] newStr = abc(inputStr,n) print(newStr)
input_str = 'akfjljfldksgnlfskgjlsjf' n = 5 def abc(inputStr, n): if n > len(inputStr): print("invalid 'n'.") return 0 return inputStr[0:n - 1] + inputStr[n:] new_str = abc(inputStr, n) print(newStr)
DEFAULT_MEROSS_HTTP_API = "https://iot.meross.com" DEFAULT_MQTT_HOST = "mqtt.meross.com" DEFAULT_MQTT_PORT = 443 DEFAULT_COMMAND_TIMEOUT = 10.0
default_meross_http_api = 'https://iot.meross.com' default_mqtt_host = 'mqtt.meross.com' default_mqtt_port = 443 default_command_timeout = 10.0
t = int(input()) while t > 0: s = input() new = '' c=1 for i in range(len(s)): if i == 0: new+=s[i] elif i!=0 and s[i] != s[i-1]: new+=str(c) c=1 new+=s[i] elif s[i] == s[i-1] and new[-1] == s[i]: c+=1 print(new) t-=1
t = int(input()) while t > 0: s = input() new = '' c = 1 for i in range(len(s)): if i == 0: new += s[i] elif i != 0 and s[i] != s[i - 1]: new += str(c) c = 1 new += s[i] elif s[i] == s[i - 1] and new[-1] == s[i]: c += 1 print(new) t -= 1
# Vim has the best keybindings ever class Vim: @property def __best__(self): return True
class Vim: @property def __best__(self): return True
#!/usr/bin/env python # -*- coding: utf-8 -*- def all_messages(): return \ { "0": "Nettacker-motor begon ...\n\n", "1": "python nettacker.py [opties]", "2": "Toon Nettacker Help Menu", "3": "Gelieve de licentie en afspraken te lezen https://github.com/viraintel/OWASP-Nettacker\n", "4": "Motor", "5": "Motorinvoeropties", "6": "selecteer een taal {0}", "7": "scan alle IP's in het bereik", "8": "subdomeinen zoeken en scannen", "9": "draadnummers voor verbindingen met een host", "10": "draadnummers voor scan hosts", "11": "Sla alle logboeken op in het bestand (results.txt, results.html, results.json)", "12": "Doel", "13": "Target input opties", "14": "doel (en) lijst, apart met \",\"", "15": "lees doel (en) van het bestand", "16": "Opties voor scanmethode", "17": "kies scanmethode {0}", "18": "kies scanmethode om {0} uit te sluiten", "19": "gebruikersnaam (en) lijst, apart met \",\"", "20": "lees gebruikersnaam (s) van het bestand", "21": "wachtwoord (en) lijst, apart met \",\"", "22": "lees wachtwoord (en) van het bestand", "23": "poort (en) lijst, apart met \",\"", "24": "lees wachtwoorden van het bestand", "25": "tijd om te slapen tussen elk verzoek", "26": "Kan de doelstelling (en) niet opgeven", "27": "Kan de doelstelling (en) niet specificeren, bestand niet openen: {0}", "28": "het is beter om draadnummer lager dan 100 te gebruiken, BTW gaan we door ...", "29": "stel time-out in {0} seconden, het is te groot, is het niet? door de manier waarop we doorgaan ...", "30": "deze scanmodule [{0}] niet gevonden!", "31": "deze scanmodule [{0}] niet gevonden!", "32": "U kunt alle scanmethodes niet uitsluiten", "33": "U kunt alle scanmethodes niet uitsluiten", "34": "de {0} module die u heeft geselecteerd om te sluiten niet gevonden!", "35": "enter methods inputs, example: \"ftp_brute_users=test,admin&ftp_brute_passwds=" "read_from_file:/tmp/pass.txt&ftp_brute_port=21\"", "36": "kan het bestand niet lezen {0}", "37": "Kan de gebruikersnaam (en) niet opgeven, kan het bestand niet openen: {0}", "38": "", "39": "Kan het wachtwoord (en) niet specificeren, bestand niet openen: {0}", "40": "bestand \"{0}\" is niet te schrijven!", "41": "kies alstublieft uw scanmethode!", "42": "Temp-bestanden verwijderen!", "43": "sorteren resultaten!", "44": "gedaan!", "45": "begin met {0}, {1} van {2} aanval", "46": "deze module \"{0}\" is niet beschikbaar", "47": "helaas kan deze versie van de software gewoon op linux /osx/windows worden uitgevoerd.", "48": "Uw Python-versie wordt niet ondersteund!", "49": "overslaan duplicaat doel (sommige subdomeinen / domeinen kunnen hetzelfde IP en bereik hebben)", "50": "onbekend type doelwit [{0}]", "51": "controleer {0} bereik ...", "52": "controleert {0} ...", "53": "HOST", "54": "USERNAME", "55": "WACHTWOORD", "56": "HAVEN", "57": "TYPE", "58": "BESCHRIJVING", "59": "verbose modus niveau (0-5) (standaard 0)", "60": "toon software versie", "61": "controleer op updates", "62": "", "63": "", "64": "Wordt opnieuw geprobeerd als de verbindings time-out (standaard 3)", "65": "ftp verbinding met {0}: {1} time-out, overslaan {2}: {3}", "66": "INGESLOTEN!", "67": "INGESLOTEN INGESLOTEN, TOEGESTAAN VOOR LIJST COMMAND!", "68": "ftp verbinding met {0}: {1} mislukt, de hele stap overslaan [proces {2} van {3}]!" " Naar de volgende stap gaan", "69": "invoer doel voor {0} module moet DOMAIN, HTTP of SINGLE_IPv4 zijn, om {1}", "70": "gebruiker: {0} pass: {1} host: {2} port: {3} found!", "71": "(GEEN TOESTEMMING VOOR LIJSTFILES)", "72": "proberen {0} van {1} in behandeling {2} van {3} {4}: {5}", "73": "smtp verbinding met {0}: {1} time-out, overslaan {2}: {3}", "74": "smtp verbinding met {0}: {1} is mislukt, de hele stap overschrijdt [proces {2} van {3}]!" " Naar de volgende stap gaan", "75": "invoer doel voor {0} module moet HTTP, overslaan {1}", "76": "ssh verbinding met {0}: {1} time-out, overslaan {2}: {3}", "77": "ssh verbinding met {0}: {1} is mislukt, de hele stap overschrijdt [proces {2} van {3}]!" " Naar de volgende stap gaan", "78": "ssh verbinding met% s:% s is mislukt, de hele stap overslaan [proces% s van% s]! Naar " "de volgende stap gaan", "79": "OPEN PORT", "80": "host: {0} poort: {1} gevonden!", "81": "doel {0} ingediend!", "82": "kan geen proxy-lijstbestand openen: {0}", "83": "kan geen proxy-lijstbestand vinden: {0}", "84": "U gebruikt OWASP Nettacker versie {0} {1} {2} {6} met code naam {3} {4} {5}", "85": "deze functie is nog niet beschikbaar! voer alsjeblieft \"git clone https://github.com/viraintel/" "OWASP-Nettacker.git\" of \"pip install -U OWASP-Nettacker\" om de laatste versie te krijgen.", "86": "bouw een grafiek van alle activiteiten en informatie, u moet HTML-uitvoer gebruiken. " "beschikbare grafieken: {0}", "87": "om grafiekfunctie te gebruiken, moet uw uitvoerbestandnaam eindigen met \".html\" of \".htm\"!", "88": "bouwgrafiek ...", "89": "voltooi bouw grafiek!", "90": "Penetratie Testen Grafieken", "91": "Deze grafiek is gemaakt door OWASP Nettacker. Grafiek bevat alle modules activiteiten, " "netwerk kaart en gevoelige informatie, Deel dit bestand niet met iemand als het niet betrouwbaar is.", "92": "OWASP Nettacker Report", "93": "Software Details: OWASP Nettacker versie {0} [{1}] in {2}", "94": "geen open poorten gevonden!", "95": "geen gebruiker / wachtwoord gevonden!", "96": "{0} modules geladen ...", "97": "deze grafiekmodule niet gevonden: {0}", "98": "deze grafische module \"{0}\" is niet beschikbaar", "99": "ping voor het scannen van de host", "100": "het overslaan van het hele doel {0} en het scannen methode {1} doordat -ping-before-scan " "is waar en het antwoordde niet!", "101": "U gebruikt de laatste versie van OWASP Nettacker niet, alsjeblieft bijwerken.", "102": "Kijk niet naar updates, controleer alstublieft uw internetverbinding.", "103": "U gebruikt de laatste versie van OWASP Nettacker ...", "104": "directory listing found in {0}", "105": "Voer alsjeblieft de poort in via de -g of --methods-args-schakelaar in plaats van url", "106": "http verbinding {0} time-out!", "107": "", "108": "no directory or file found for {0} in port {1}", "109": "unable to open {0}", "110": "dir_scan_http_method waarde moet GET of HEAD zijn, stel standaard in op GET.", "111": "lijst alle methoden args", "112": "kan {0} module args niet krijgen", "113": "", "114": "", "115": "", "116": "", "117": "" }
def all_messages(): return {'0': 'Nettacker-motor begon ...\n\n', '1': 'python nettacker.py [opties]', '2': 'Toon Nettacker Help Menu', '3': 'Gelieve de licentie en afspraken te lezen https://github.com/viraintel/OWASP-Nettacker\n', '4': 'Motor', '5': 'Motorinvoeropties', '6': 'selecteer een taal {0}', '7': "scan alle IP's in het bereik", '8': 'subdomeinen zoeken en scannen', '9': 'draadnummers voor verbindingen met een host', '10': 'draadnummers voor scan hosts', '11': 'Sla alle logboeken op in het bestand (results.txt, results.html, results.json)', '12': 'Doel', '13': 'Target input opties', '14': 'doel (en) lijst, apart met ","', '15': 'lees doel (en) van het bestand', '16': 'Opties voor scanmethode', '17': 'kies scanmethode {0}', '18': 'kies scanmethode om {0} uit te sluiten', '19': 'gebruikersnaam (en) lijst, apart met ","', '20': 'lees gebruikersnaam (s) van het bestand', '21': 'wachtwoord (en) lijst, apart met ","', '22': 'lees wachtwoord (en) van het bestand', '23': 'poort (en) lijst, apart met ","', '24': 'lees wachtwoorden van het bestand', '25': 'tijd om te slapen tussen elk verzoek', '26': 'Kan de doelstelling (en) niet opgeven', '27': 'Kan de doelstelling (en) niet specificeren, bestand niet openen: {0}', '28': 'het is beter om draadnummer lager dan 100 te gebruiken, BTW gaan we door ...', '29': 'stel time-out in {0} seconden, het is te groot, is het niet? door de manier waarop we doorgaan ...', '30': 'deze scanmodule [{0}] niet gevonden!', '31': 'deze scanmodule [{0}] niet gevonden!', '32': 'U kunt alle scanmethodes niet uitsluiten', '33': 'U kunt alle scanmethodes niet uitsluiten', '34': 'de {0} module die u heeft geselecteerd om te sluiten niet gevonden!', '35': 'enter methods inputs, example: "ftp_brute_users=test,admin&ftp_brute_passwds=read_from_file:/tmp/pass.txt&ftp_brute_port=21"', '36': 'kan het bestand niet lezen {0}', '37': 'Kan de gebruikersnaam (en) niet opgeven, kan het bestand niet openen: {0}', '38': '', '39': 'Kan het wachtwoord (en) niet specificeren, bestand niet openen: {0}', '40': 'bestand "{0}" is niet te schrijven!', '41': 'kies alstublieft uw scanmethode!', '42': 'Temp-bestanden verwijderen!', '43': 'sorteren resultaten!', '44': 'gedaan!', '45': 'begin met {0}, {1} van {2} aanval', '46': 'deze module "{0}" is niet beschikbaar', '47': 'helaas kan deze versie van de software gewoon op linux /osx/windows worden uitgevoerd.', '48': 'Uw Python-versie wordt niet ondersteund!', '49': 'overslaan duplicaat doel (sommige subdomeinen / domeinen kunnen hetzelfde IP en bereik hebben)', '50': 'onbekend type doelwit [{0}]', '51': 'controleer {0} bereik ...', '52': 'controleert {0} ...', '53': 'HOST', '54': 'USERNAME', '55': 'WACHTWOORD', '56': 'HAVEN', '57': 'TYPE', '58': 'BESCHRIJVING', '59': 'verbose modus niveau (0-5) (standaard 0)', '60': 'toon software versie', '61': 'controleer op updates', '62': '', '63': '', '64': 'Wordt opnieuw geprobeerd als de verbindings time-out (standaard 3)', '65': 'ftp verbinding met {0}: {1} time-out, overslaan {2}: {3}', '66': 'INGESLOTEN!', '67': 'INGESLOTEN INGESLOTEN, TOEGESTAAN VOOR LIJST COMMAND!', '68': 'ftp verbinding met {0}: {1} mislukt, de hele stap overslaan [proces {2} van {3}]! Naar de volgende stap gaan', '69': 'invoer doel voor {0} module moet DOMAIN, HTTP of SINGLE_IPv4 zijn, om {1}', '70': 'gebruiker: {0} pass: {1} host: {2} port: {3} found!', '71': '(GEEN TOESTEMMING VOOR LIJSTFILES)', '72': 'proberen {0} van {1} in behandeling {2} van {3} {4}: {5}', '73': 'smtp verbinding met {0}: {1} time-out, overslaan {2}: {3}', '74': 'smtp verbinding met {0}: {1} is mislukt, de hele stap overschrijdt [proces {2} van {3}]! Naar de volgende stap gaan', '75': 'invoer doel voor {0} module moet HTTP, overslaan {1}', '76': 'ssh verbinding met {0}: {1} time-out, overslaan {2}: {3}', '77': 'ssh verbinding met {0}: {1} is mislukt, de hele stap overschrijdt [proces {2} van {3}]! Naar de volgende stap gaan', '78': 'ssh verbinding met% s:% s is mislukt, de hele stap overslaan [proces% s van% s]! Naar de volgende stap gaan', '79': 'OPEN PORT', '80': 'host: {0} poort: {1} gevonden!', '81': 'doel {0} ingediend!', '82': 'kan geen proxy-lijstbestand openen: {0}', '83': 'kan geen proxy-lijstbestand vinden: {0}', '84': 'U gebruikt OWASP Nettacker versie {0} {1} {2} {6} met code naam {3} {4} {5}', '85': 'deze functie is nog niet beschikbaar! voer alsjeblieft "git clone https://github.com/viraintel/OWASP-Nettacker.git" of "pip install -U OWASP-Nettacker" om de laatste versie te krijgen.', '86': 'bouw een grafiek van alle activiteiten en informatie, u moet HTML-uitvoer gebruiken. beschikbare grafieken: {0}', '87': 'om grafiekfunctie te gebruiken, moet uw uitvoerbestandnaam eindigen met ".html" of ".htm"!', '88': 'bouwgrafiek ...', '89': 'voltooi bouw grafiek!', '90': 'Penetratie Testen Grafieken', '91': 'Deze grafiek is gemaakt door OWASP Nettacker. Grafiek bevat alle modules activiteiten, netwerk kaart en gevoelige informatie, Deel dit bestand niet met iemand als het niet betrouwbaar is.', '92': 'OWASP Nettacker Report', '93': 'Software Details: OWASP Nettacker versie {0} [{1}] in {2}', '94': 'geen open poorten gevonden!', '95': 'geen gebruiker / wachtwoord gevonden!', '96': '{0} modules geladen ...', '97': 'deze grafiekmodule niet gevonden: {0}', '98': 'deze grafische module "{0}" is niet beschikbaar', '99': 'ping voor het scannen van de host', '100': 'het overslaan van het hele doel {0} en het scannen methode {1} doordat -ping-before-scan is waar en het antwoordde niet!', '101': 'U gebruikt de laatste versie van OWASP Nettacker niet, alsjeblieft bijwerken.', '102': 'Kijk niet naar updates, controleer alstublieft uw internetverbinding.', '103': 'U gebruikt de laatste versie van OWASP Nettacker ...', '104': 'directory listing found in {0}', '105': 'Voer alsjeblieft de poort in via de -g of --methods-args-schakelaar in plaats van url', '106': 'http verbinding {0} time-out!', '107': '', '108': 'no directory or file found for {0} in port {1}', '109': 'unable to open {0}', '110': 'dir_scan_http_method waarde moet GET of HEAD zijn, stel standaard in op GET.', '111': 'lijst alle methoden args', '112': 'kan {0} module args niet krijgen', '113': '', '114': '', '115': '', '116': '', '117': ''}
FLOAT_PRECISION = 3 DEFAULT_MIN_TIME_IN_HOUR = 0 DEFAULT_MAX_TIME_IN_HOUR = 230 MINUTES_IN_AN_HOUR = 60 FS = "Fs" FOIL = "Foil" FG = "Fg" PRES = "pressure" DISCHARGE = "discharge" WATER = "Fw" PAA = "Fpaa" DEFAULT_PENICILLIN_RECIPE_ORDER = [FS, FOIL, FG, PRES, DISCHARGE, WATER, PAA] FS_DEFAULT_PROFILE = [ {"time": 3, "value": 8}, {"time": 12, "value": 15}, {"time": 16, "value": 30}, {"time": 20, "value": 75}, {"time": 24, "value": 150}, {"time": 28, "value": 30}, {"time": 32, "value": 37}, {"time": 36, "value": 43}, {"time": 40, "value": 47}, {"time": 44, "value": 51}, {"time": 48, "value": 57}, {"time": 52, "value": 61}, {"time": 56, "value": 65}, {"time": 60, "value": 72}, {"time": 64, "value": 76}, {"time": 68, "value": 80}, {"time": 72, "value": 84}, {"time": 76, "value": 90}, {"time": 80, "value": 116}, {"time": 160, "value": 90}, {"time": 230, "value": 80} ] FOIL_DEFAULT_PROFILE = [ {"time": 4, "value": 22}, {"time": 16, "value": 30}, {"time": 56, "value": 35}, {"time": 60, "value": 34}, {"time": 64, "value": 33}, {"time": 68, "value": 32}, {"time": 72, "value": 31}, {"time": 76, "value": 30}, {"time": 80, "value": 29}, {"time": 230, "value": 23}, ] FG_DEFAULT_PROFILE = [ {"time": 8, "value": 30}, {"time": 20, "value": 42}, {"time": 40, "value": 55}, {"time": 90, "value": 60}, {"time": 200, "value": 75}, {"time": 230, "value": 65} ] PRESS_DEFAULT_PROFILE = [ {"time": 12.4, "value": 0.6}, {"time": 25, "value": 0.7}, {"time": 30, "value": 0.8}, {"time": 40, "value": 0.9}, {"time": 100, "value": 1.1}, {"time": 150, "value": 1}, {"time": 200, "value": 0.9}, {"time": 230, "value": 0.9}, ] DISCHARGE_DEFAULT_PROFILE = [ {"time": 100, "value": 0}, {"time": 102, "value": 4000}, {"time": 130, "value": 0}, {"time": 132, "value": 4000}, {"time": 150, "value": 0}, {"time": 152, "value": 4000}, {"time": 170, "value": 0}, {"time": 172, "value": 4000}, {"time": 190, "value": 0}, {"time": 192, "value": 4000}, {"time": 210, "value": 0}, {"time": 212, "value": 4000}, {"time": 230, "value": 0} ] WATER_DEFAULT_PROFILE = [ {"time": 50, "value": 0}, {"time": 75, "value": 500}, {"time": 150, "value": 100}, {"time": 160, "value": 0}, {"time": 170, "value": 400}, {"time": 200, "value": 150}, {"time": 230, "value": 250} ] PAA_DEFAULT_PROFILE = [ {"time": 5, "value": 5}, {"time": 40, "value": 0}, {"time": 200, "value": 10}, {"time": 230, "value": 4} ]
float_precision = 3 default_min_time_in_hour = 0 default_max_time_in_hour = 230 minutes_in_an_hour = 60 fs = 'Fs' foil = 'Foil' fg = 'Fg' pres = 'pressure' discharge = 'discharge' water = 'Fw' paa = 'Fpaa' default_penicillin_recipe_order = [FS, FOIL, FG, PRES, DISCHARGE, WATER, PAA] fs_default_profile = [{'time': 3, 'value': 8}, {'time': 12, 'value': 15}, {'time': 16, 'value': 30}, {'time': 20, 'value': 75}, {'time': 24, 'value': 150}, {'time': 28, 'value': 30}, {'time': 32, 'value': 37}, {'time': 36, 'value': 43}, {'time': 40, 'value': 47}, {'time': 44, 'value': 51}, {'time': 48, 'value': 57}, {'time': 52, 'value': 61}, {'time': 56, 'value': 65}, {'time': 60, 'value': 72}, {'time': 64, 'value': 76}, {'time': 68, 'value': 80}, {'time': 72, 'value': 84}, {'time': 76, 'value': 90}, {'time': 80, 'value': 116}, {'time': 160, 'value': 90}, {'time': 230, 'value': 80}] foil_default_profile = [{'time': 4, 'value': 22}, {'time': 16, 'value': 30}, {'time': 56, 'value': 35}, {'time': 60, 'value': 34}, {'time': 64, 'value': 33}, {'time': 68, 'value': 32}, {'time': 72, 'value': 31}, {'time': 76, 'value': 30}, {'time': 80, 'value': 29}, {'time': 230, 'value': 23}] fg_default_profile = [{'time': 8, 'value': 30}, {'time': 20, 'value': 42}, {'time': 40, 'value': 55}, {'time': 90, 'value': 60}, {'time': 200, 'value': 75}, {'time': 230, 'value': 65}] press_default_profile = [{'time': 12.4, 'value': 0.6}, {'time': 25, 'value': 0.7}, {'time': 30, 'value': 0.8}, {'time': 40, 'value': 0.9}, {'time': 100, 'value': 1.1}, {'time': 150, 'value': 1}, {'time': 200, 'value': 0.9}, {'time': 230, 'value': 0.9}] discharge_default_profile = [{'time': 100, 'value': 0}, {'time': 102, 'value': 4000}, {'time': 130, 'value': 0}, {'time': 132, 'value': 4000}, {'time': 150, 'value': 0}, {'time': 152, 'value': 4000}, {'time': 170, 'value': 0}, {'time': 172, 'value': 4000}, {'time': 190, 'value': 0}, {'time': 192, 'value': 4000}, {'time': 210, 'value': 0}, {'time': 212, 'value': 4000}, {'time': 230, 'value': 0}] water_default_profile = [{'time': 50, 'value': 0}, {'time': 75, 'value': 500}, {'time': 150, 'value': 100}, {'time': 160, 'value': 0}, {'time': 170, 'value': 400}, {'time': 200, 'value': 150}, {'time': 230, 'value': 250}] paa_default_profile = [{'time': 5, 'value': 5}, {'time': 40, 'value': 0}, {'time': 200, 'value': 10}, {'time': 230, 'value': 4}]
def singleton(class_): instances = {} def getinstance(*args, **kwargs): if class_ not in instances: instances[class_] = class_(*args, **kwargs) return instances[class_] return getinstance @singleton class MyClass(): def test(self): print(id(self)) class Singleton(object): _instance = None def __new__(class_, *args, **kwargs): if not isinstance(class_._instance, class_): class_._instance = object.__new__(class_, *args, **kwargs) return class_._instance class MyRealClass(Singleton): def test(self): print(id(self))
def singleton(class_): instances = {} def getinstance(*args, **kwargs): if class_ not in instances: instances[class_] = class_(*args, **kwargs) return instances[class_] return getinstance @singleton class Myclass: def test(self): print(id(self)) class Singleton(object): _instance = None def __new__(class_, *args, **kwargs): if not isinstance(class_._instance, class_): class_._instance = object.__new__(class_, *args, **kwargs) return class_._instance class Myrealclass(Singleton): def test(self): print(id(self))
class BaseTextOpinionsLinkageInstancesProvider(object): def iter_instances(self, text_opinion_linkage): raise NotImplementedError() @staticmethod def provide_label(text_opinion_linkage): return text_opinion_linkage.First.Sentiment
class Basetextopinionslinkageinstancesprovider(object): def iter_instances(self, text_opinion_linkage): raise not_implemented_error() @staticmethod def provide_label(text_opinion_linkage): return text_opinion_linkage.First.Sentiment
def pattern_occurence(pattern, dna): list_occurences=[] k = len(pattern) for i in range(len(dna)-k+1): if(dna[i:i+k]==pattern): list_occurences.append(i) return list_occurences def main(): with open('datasets/rosalind_ba1d.txt') as input_file: pattern, dna = input_file.read().strip().split('\n') list_occurences = pattern_occurence(pattern, dna) print(' '.join(list(map(str, list_occurences)))) with open('solutions/rosalind_ba1d.txt', 'w') as output_file: output_file.write(' '.join(list(map(str, list_occurences)))) if(__name__=='__main__'): main()
def pattern_occurence(pattern, dna): list_occurences = [] k = len(pattern) for i in range(len(dna) - k + 1): if dna[i:i + k] == pattern: list_occurences.append(i) return list_occurences def main(): with open('datasets/rosalind_ba1d.txt') as input_file: (pattern, dna) = input_file.read().strip().split('\n') list_occurences = pattern_occurence(pattern, dna) print(' '.join(list(map(str, list_occurences)))) with open('solutions/rosalind_ba1d.txt', 'w') as output_file: output_file.write(' '.join(list(map(str, list_occurences)))) if __name__ == '__main__': main()
# Licensed to the .NET Foundation under one or more agreements. # The .NET Foundation licenses this file to you under the Apache 2.0 License. # See the LICENSE file in the project root for more information. # generated by generate_indicestest.py def test_indices(self): def t(i, j, k, l, r): rr = slice(i, j, k).indices(l) self.assertEqual(rr, r, "slice({i}, {j}, {k}).indices({l}) != {r}: {rr}".format(i=i, j=j, k=k, l=l, r=r, rr=rr)) t(None, None, None, 0, (0, 0, 1)) t(None, None, None, 1, (0, 1, 1)) t(None, None, None, 5, (0, 5, 1)) t(None, None, None, 10, (0, 10, 1)) t(None, None, None, 100, (0, 100, 1)) t(None, None, None, 2147483647, (0, 2147483647, 1)) t(None, None, None, 9223372036854775808, (0, 9223372036854775808, 1)) t(None, None, -5, 0, (-1, -1, -5)) t(None, None, -5, 1, (0, -1, -5)) t(None, None, -5, 5, (4, -1, -5)) t(None, None, -5, 10, (9, -1, -5)) t(None, None, -5, 100, (99, -1, -5)) t(None, None, -5, 2147483647, (2147483646, -1, -5)) t(None, None, -5, 9223372036854775808, (9223372036854775807, -1, -5)) t(None, None, -3, 0, (-1, -1, -3)) t(None, None, -3, 1, (0, -1, -3)) t(None, None, -3, 5, (4, -1, -3)) t(None, None, -3, 10, (9, -1, -3)) t(None, None, -3, 100, (99, -1, -3)) t(None, None, -3, 2147483647, (2147483646, -1, -3)) t(None, None, -3, 9223372036854775808, (9223372036854775807, -1, -3)) t(None, None, -1, 0, (-1, -1, -1)) t(None, None, -1, 1, (0, -1, -1)) t(None, None, -1, 5, (4, -1, -1)) t(None, None, -1, 10, (9, -1, -1)) t(None, None, -1, 100, (99, -1, -1)) t(None, None, -1, 2147483647, (2147483646, -1, -1)) t(None, None, -1, 9223372036854775808, (9223372036854775807, -1, -1)) t(None, None, 1, 0, (0, 0, 1)) t(None, None, 1, 1, (0, 1, 1)) t(None, None, 1, 5, (0, 5, 1)) t(None, None, 1, 10, (0, 10, 1)) t(None, None, 1, 100, (0, 100, 1)) t(None, None, 1, 2147483647, (0, 2147483647, 1)) t(None, None, 1, 9223372036854775808, (0, 9223372036854775808, 1)) t(None, None, 5, 0, (0, 0, 5)) t(None, None, 5, 1, (0, 1, 5)) t(None, None, 5, 5, (0, 5, 5)) t(None, None, 5, 10, (0, 10, 5)) t(None, None, 5, 100, (0, 100, 5)) t(None, None, 5, 2147483647, (0, 2147483647, 5)) t(None, None, 5, 9223372036854775808, (0, 9223372036854775808, 5)) t(None, None, 20, 0, (0, 0, 20)) t(None, None, 20, 1, (0, 1, 20)) t(None, None, 20, 5, (0, 5, 20)) t(None, None, 20, 10, (0, 10, 20)) t(None, None, 20, 100, (0, 100, 20)) t(None, None, 20, 2147483647, (0, 2147483647, 20)) t(None, None, 20, 9223372036854775808, (0, 9223372036854775808, 20)) t(None, None, 2147483647, 0, (0, 0, 2147483647)) t(None, None, 2147483647, 1, (0, 1, 2147483647)) t(None, None, 2147483647, 5, (0, 5, 2147483647)) t(None, None, 2147483647, 10, (0, 10, 2147483647)) t(None, None, 2147483647, 100, (0, 100, 2147483647)) t(None, None, 2147483647, 2147483647, (0, 2147483647, 2147483647)) t(None, None, 2147483647, 9223372036854775808, (0, 9223372036854775808, 2147483647)) t(None, None, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(None, None, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(None, None, 9223372036854775808, 5, (0, 5, 9223372036854775808)) t(None, None, 9223372036854775808, 10, (0, 10, 9223372036854775808)) t(None, None, 9223372036854775808, 100, (0, 100, 9223372036854775808)) t(None, None, 9223372036854775808, 2147483647, (0, 2147483647, 9223372036854775808)) t(None, None, 9223372036854775808, 9223372036854775808, (0, 9223372036854775808, 9223372036854775808)) t(None, -7, None, 0, (0, 0, 1)) t(None, -7, None, 1, (0, 0, 1)) t(None, -7, None, 5, (0, 0, 1)) t(None, -7, None, 10, (0, 3, 1)) t(None, -7, None, 100, (0, 93, 1)) t(None, -7, None, 2147483647, (0, 2147483640, 1)) t(None, -7, None, 9223372036854775808, (0, 9223372036854775801, 1)) t(None, -7, -5, 0, (-1, -1, -5)) t(None, -7, -5, 1, (0, -1, -5)) t(None, -7, -5, 5, (4, -1, -5)) t(None, -7, -5, 10, (9, 3, -5)) t(None, -7, -5, 100, (99, 93, -5)) t(None, -7, -5, 2147483647, (2147483646, 2147483640, -5)) t(None, -7, -5, 9223372036854775808, (9223372036854775807, 9223372036854775801, 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-1)) t(-7, None, -1, 10, (3, -1, -1)) t(-7, None, -1, 100, (93, -1, -1)) t(-7, None, -1, 2147483647, (2147483640, -1, -1)) t(-7, None, -1, 9223372036854775808, (9223372036854775801, -1, -1)) t(-7, None, 1, 0, (0, 0, 1)) t(-7, None, 1, 1, (0, 1, 1)) t(-7, None, 1, 5, (0, 5, 1)) t(-7, None, 1, 10, (3, 10, 1)) t(-7, None, 1, 100, (93, 100, 1)) t(-7, None, 1, 2147483647, (2147483640, 2147483647, 1)) t(-7, None, 1, 9223372036854775808, (9223372036854775801, 9223372036854775808, 1)) t(-7, None, 5, 0, (0, 0, 5)) t(-7, None, 5, 1, (0, 1, 5)) t(-7, None, 5, 5, (0, 5, 5)) t(-7, None, 5, 10, (3, 10, 5)) t(-7, None, 5, 100, (93, 100, 5)) t(-7, None, 5, 2147483647, (2147483640, 2147483647, 5)) t(-7, None, 5, 9223372036854775808, (9223372036854775801, 9223372036854775808, 5)) t(-7, None, 20, 0, (0, 0, 20)) t(-7, None, 20, 1, (0, 1, 20)) t(-7, None, 20, 5, (0, 5, 20)) t(-7, None, 20, 10, (3, 10, 20)) t(-7, None, 20, 100, (93, 100, 20)) t(-7, None, 20, 2147483647, (2147483640, 2147483647, 20)) t(-7, None, 20, 9223372036854775808, (9223372036854775801, 9223372036854775808, 20)) t(-7, None, 2147483647, 0, (0, 0, 2147483647)) t(-7, None, 2147483647, 1, (0, 1, 2147483647)) t(-7, None, 2147483647, 5, (0, 5, 2147483647)) t(-7, None, 2147483647, 10, (3, 10, 2147483647)) t(-7, None, 2147483647, 100, (93, 100, 2147483647)) t(-7, None, 2147483647, 2147483647, (2147483640, 2147483647, 2147483647)) t(-7, None, 2147483647, 9223372036854775808, (9223372036854775801, 9223372036854775808, 2147483647)) t(-7, None, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-7, None, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-7, None, 9223372036854775808, 5, (0, 5, 9223372036854775808)) t(-7, None, 9223372036854775808, 10, (3, 10, 9223372036854775808)) t(-7, None, 9223372036854775808, 100, (93, 100, 9223372036854775808)) t(-7, None, 9223372036854775808, 2147483647, (2147483640, 2147483647, 9223372036854775808)) t(-7, None, 9223372036854775808, 9223372036854775808, (9223372036854775801, 9223372036854775808, 9223372036854775808)) t(-7, -7, None, 0, (0, 0, 1)) t(-7, -7, None, 1, (0, 0, 1)) t(-7, -7, None, 5, (0, 0, 1)) t(-7, -7, None, 10, (3, 3, 1)) t(-7, -7, None, 100, (93, 93, 1)) t(-7, -7, None, 2147483647, (2147483640, 2147483640, 1)) t(-7, -7, None, 9223372036854775808, (9223372036854775801, 9223372036854775801, 1)) t(-7, -7, -5, 0, (-1, -1, -5)) t(-7, -7, -5, 1, (-1, -1, -5)) t(-7, -7, -5, 5, (-1, -1, -5)) t(-7, -7, -5, 10, (3, 3, -5)) t(-7, -7, -5, 100, (93, 93, -5)) t(-7, -7, -5, 2147483647, (2147483640, 2147483640, -5)) t(-7, -7, -5, 9223372036854775808, (9223372036854775801, 9223372036854775801, -5)) t(-7, -7, -3, 0, (-1, -1, -3)) t(-7, -7, -3, 1, (-1, -1, -3)) t(-7, -7, -3, 5, (-1, -1, -3)) t(-7, -7, -3, 10, (3, 3, -3)) t(-7, -7, -3, 100, (93, 93, -3)) t(-7, -7, -3, 2147483647, (2147483640, 2147483640, -3)) t(-7, -7, -3, 9223372036854775808, (9223372036854775801, 9223372036854775801, -3)) t(-7, -7, -1, 0, (-1, -1, -1)) t(-7, -7, -1, 1, (-1, -1, -1)) t(-7, -7, -1, 5, (-1, -1, -1)) t(-7, -7, -1, 10, (3, 3, -1)) t(-7, -7, -1, 100, (93, 93, -1)) t(-7, -7, -1, 2147483647, (2147483640, 2147483640, -1)) t(-7, -7, -1, 9223372036854775808, (9223372036854775801, 9223372036854775801, -1)) t(-7, -7, 1, 0, (0, 0, 1)) t(-7, -7, 1, 1, (0, 0, 1)) t(-7, -7, 1, 5, (0, 0, 1)) t(-7, -7, 1, 10, (3, 3, 1)) t(-7, -7, 1, 100, (93, 93, 1)) t(-7, -7, 1, 2147483647, (2147483640, 2147483640, 1)) t(-7, -7, 1, 9223372036854775808, (9223372036854775801, 9223372036854775801, 1)) t(-7, -7, 5, 0, (0, 0, 5)) t(-7, -7, 5, 1, (0, 0, 5)) t(-7, -7, 5, 5, (0, 0, 5)) t(-7, -7, 5, 10, (3, 3, 5)) t(-7, -7, 5, 100, (93, 93, 5)) t(-7, -7, 5, 2147483647, (2147483640, 2147483640, 5)) t(-7, -7, 5, 9223372036854775808, (9223372036854775801, 9223372036854775801, 5)) t(-7, -7, 20, 0, (0, 0, 20)) t(-7, -7, 20, 1, (0, 0, 20)) t(-7, -7, 20, 5, (0, 0, 20)) t(-7, -7, 20, 10, (3, 3, 20)) t(-7, -7, 20, 100, (93, 93, 20)) t(-7, -7, 20, 2147483647, (2147483640, 2147483640, 20)) t(-7, -7, 20, 9223372036854775808, (9223372036854775801, 9223372036854775801, 20)) t(-7, -7, 2147483647, 0, (0, 0, 2147483647)) t(-7, -7, 2147483647, 1, (0, 0, 2147483647)) t(-7, -7, 2147483647, 5, (0, 0, 2147483647)) t(-7, -7, 2147483647, 10, (3, 3, 2147483647)) t(-7, -7, 2147483647, 100, (93, 93, 2147483647)) t(-7, -7, 2147483647, 2147483647, (2147483640, 2147483640, 2147483647)) t(-7, -7, 2147483647, 9223372036854775808, (9223372036854775801, 9223372036854775801, 2147483647)) t(-7, -7, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-7, -7, 9223372036854775808, 1, (0, 0, 9223372036854775808)) t(-7, -7, 9223372036854775808, 5, (0, 0, 9223372036854775808)) t(-7, -7, 9223372036854775808, 10, (3, 3, 9223372036854775808)) t(-7, -7, 9223372036854775808, 100, (93, 93, 9223372036854775808)) t(-7, -7, 9223372036854775808, 2147483647, (2147483640, 2147483640, 9223372036854775808)) t(-7, -7, 9223372036854775808, 9223372036854775808, (9223372036854775801, 9223372036854775801, 9223372036854775808)) t(-7, -2, None, 0, (0, 0, 1)) t(-7, -2, None, 1, (0, 0, 1)) t(-7, -2, None, 5, (0, 3, 1)) t(-7, -2, None, 10, (3, 8, 1)) t(-7, -2, None, 100, (93, 98, 1)) t(-7, -2, None, 2147483647, (2147483640, 2147483645, 1)) t(-7, -2, None, 9223372036854775808, (9223372036854775801, 9223372036854775806, 1)) t(-7, -2, -5, 0, (-1, -1, -5)) t(-7, -2, -5, 1, (-1, -1, -5)) t(-7, -2, -5, 5, (-1, 3, -5)) t(-7, -2, -5, 10, (3, 8, -5)) t(-7, -2, -5, 100, (93, 98, -5)) t(-7, -2, -5, 2147483647, (2147483640, 2147483645, -5)) t(-7, -2, -5, 9223372036854775808, (9223372036854775801, 9223372036854775806, -5)) t(-7, -2, -3, 0, (-1, -1, -3)) t(-7, -2, -3, 1, (-1, -1, -3)) t(-7, -2, -3, 5, (-1, 3, -3)) t(-7, -2, -3, 10, (3, 8, -3)) t(-7, -2, -3, 100, (93, 98, -3)) t(-7, -2, -3, 2147483647, (2147483640, 2147483645, -3)) t(-7, -2, -3, 9223372036854775808, (9223372036854775801, 9223372036854775806, -3)) t(-7, -2, -1, 0, (-1, -1, -1)) t(-7, -2, -1, 1, (-1, -1, -1)) t(-7, -2, -1, 5, (-1, 3, -1)) t(-7, -2, -1, 10, (3, 8, -1)) t(-7, -2, -1, 100, (93, 98, -1)) t(-7, -2, -1, 2147483647, (2147483640, 2147483645, -1)) t(-7, -2, -1, 9223372036854775808, (9223372036854775801, 9223372036854775806, -1)) t(-7, -2, 1, 0, (0, 0, 1)) t(-7, -2, 1, 1, (0, 0, 1)) t(-7, -2, 1, 5, (0, 3, 1)) t(-7, -2, 1, 10, (3, 8, 1)) t(-7, -2, 1, 100, (93, 98, 1)) t(-7, -2, 1, 2147483647, (2147483640, 2147483645, 1)) t(-7, -2, 1, 9223372036854775808, (9223372036854775801, 9223372036854775806, 1)) t(-7, -2, 5, 0, (0, 0, 5)) t(-7, -2, 5, 1, (0, 0, 5)) t(-7, -2, 5, 5, (0, 3, 5)) t(-7, -2, 5, 10, (3, 8, 5)) t(-7, -2, 5, 100, (93, 98, 5)) t(-7, -2, 5, 2147483647, (2147483640, 2147483645, 5)) t(-7, -2, 5, 9223372036854775808, (9223372036854775801, 9223372036854775806, 5)) t(-7, -2, 20, 0, (0, 0, 20)) t(-7, -2, 20, 1, (0, 0, 20)) t(-7, -2, 20, 5, (0, 3, 20)) t(-7, -2, 20, 10, (3, 8, 20)) t(-7, -2, 20, 100, (93, 98, 20)) t(-7, -2, 20, 2147483647, (2147483640, 2147483645, 20)) t(-7, -2, 20, 9223372036854775808, (9223372036854775801, 9223372036854775806, 20)) t(-7, -2, 2147483647, 0, (0, 0, 2147483647)) t(-7, -2, 2147483647, 1, (0, 0, 2147483647)) t(-7, -2, 2147483647, 5, (0, 3, 2147483647)) t(-7, -2, 2147483647, 10, (3, 8, 2147483647)) t(-7, -2, 2147483647, 100, (93, 98, 2147483647)) t(-7, -2, 2147483647, 2147483647, (2147483640, 2147483645, 2147483647)) t(-7, -2, 2147483647, 9223372036854775808, (9223372036854775801, 9223372036854775806, 2147483647)) t(-7, -2, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-7, -2, 9223372036854775808, 1, (0, 0, 9223372036854775808)) t(-7, -2, 9223372036854775808, 5, (0, 3, 9223372036854775808)) t(-7, -2, 9223372036854775808, 10, (3, 8, 9223372036854775808)) t(-7, -2, 9223372036854775808, 100, (93, 98, 9223372036854775808)) t(-7, -2, 9223372036854775808, 2147483647, (2147483640, 2147483645, 9223372036854775808)) t(-7, -2, 9223372036854775808, 9223372036854775808, (9223372036854775801, 9223372036854775806, 9223372036854775808)) t(-7, 0, None, 0, (0, 0, 1)) t(-7, 0, None, 1, (0, 0, 1)) t(-7, 0, None, 5, (0, 0, 1)) t(-7, 0, None, 10, (3, 0, 1)) t(-7, 0, None, 100, (93, 0, 1)) t(-7, 0, None, 2147483647, (2147483640, 0, 1)) t(-7, 0, None, 9223372036854775808, (9223372036854775801, 0, 1)) t(-7, 0, -5, 0, (-1, -1, -5)) t(-7, 0, -5, 1, (-1, 0, -5)) t(-7, 0, -5, 5, (-1, 0, -5)) t(-7, 0, -5, 10, (3, 0, -5)) t(-7, 0, -5, 100, (93, 0, -5)) t(-7, 0, -5, 2147483647, (2147483640, 0, -5)) t(-7, 0, -5, 9223372036854775808, (9223372036854775801, 0, -5)) t(-7, 0, -3, 0, (-1, -1, -3)) t(-7, 0, -3, 1, (-1, 0, -3)) t(-7, 0, -3, 5, (-1, 0, -3)) t(-7, 0, -3, 10, (3, 0, -3)) t(-7, 0, -3, 100, (93, 0, -3)) t(-7, 0, -3, 2147483647, (2147483640, 0, -3)) t(-7, 0, -3, 9223372036854775808, (9223372036854775801, 0, -3)) t(-7, 0, -1, 0, (-1, -1, -1)) t(-7, 0, -1, 1, (-1, 0, -1)) t(-7, 0, -1, 5, (-1, 0, -1)) t(-7, 0, -1, 10, (3, 0, -1)) t(-7, 0, -1, 100, (93, 0, -1)) t(-7, 0, -1, 2147483647, (2147483640, 0, -1)) t(-7, 0, -1, 9223372036854775808, (9223372036854775801, 0, -1)) t(-7, 0, 1, 0, (0, 0, 1)) t(-7, 0, 1, 1, (0, 0, 1)) t(-7, 0, 1, 5, (0, 0, 1)) t(-7, 0, 1, 10, (3, 0, 1)) t(-7, 0, 1, 100, (93, 0, 1)) t(-7, 0, 1, 2147483647, (2147483640, 0, 1)) t(-7, 0, 1, 9223372036854775808, (9223372036854775801, 0, 1)) t(-7, 0, 5, 0, (0, 0, 5)) t(-7, 0, 5, 1, (0, 0, 5)) t(-7, 0, 5, 5, (0, 0, 5)) t(-7, 0, 5, 10, (3, 0, 5)) t(-7, 0, 5, 100, (93, 0, 5)) t(-7, 0, 5, 2147483647, (2147483640, 0, 5)) t(-7, 0, 5, 9223372036854775808, (9223372036854775801, 0, 5)) t(-7, 0, 20, 0, (0, 0, 20)) t(-7, 0, 20, 1, (0, 0, 20)) t(-7, 0, 20, 5, (0, 0, 20)) t(-7, 0, 20, 10, (3, 0, 20)) t(-7, 0, 20, 100, (93, 0, 20)) t(-7, 0, 20, 2147483647, (2147483640, 0, 20)) t(-7, 0, 20, 9223372036854775808, (9223372036854775801, 0, 20)) t(-7, 0, 2147483647, 0, (0, 0, 2147483647)) t(-7, 0, 2147483647, 1, (0, 0, 2147483647)) t(-7, 0, 2147483647, 5, (0, 0, 2147483647)) t(-7, 0, 2147483647, 10, (3, 0, 2147483647)) t(-7, 0, 2147483647, 100, (93, 0, 2147483647)) t(-7, 0, 2147483647, 2147483647, (2147483640, 0, 2147483647)) t(-7, 0, 2147483647, 9223372036854775808, (9223372036854775801, 0, 2147483647)) t(-7, 0, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-7, 0, 9223372036854775808, 1, (0, 0, 9223372036854775808)) t(-7, 0, 9223372036854775808, 5, (0, 0, 9223372036854775808)) t(-7, 0, 9223372036854775808, 10, (3, 0, 9223372036854775808)) t(-7, 0, 9223372036854775808, 100, (93, 0, 9223372036854775808)) t(-7, 0, 9223372036854775808, 2147483647, (2147483640, 0, 9223372036854775808)) t(-7, 0, 9223372036854775808, 9223372036854775808, (9223372036854775801, 0, 9223372036854775808)) t(-7, 1, None, 0, (0, 0, 1)) t(-7, 1, None, 1, (0, 1, 1)) t(-7, 1, None, 5, (0, 1, 1)) t(-7, 1, None, 10, (3, 1, 1)) t(-7, 1, None, 100, (93, 1, 1)) t(-7, 1, None, 2147483647, (2147483640, 1, 1)) t(-7, 1, None, 9223372036854775808, (9223372036854775801, 1, 1)) t(-7, 1, -5, 0, (-1, -1, -5)) t(-7, 1, -5, 1, (-1, 0, -5)) t(-7, 1, -5, 5, (-1, 1, -5)) t(-7, 1, -5, 10, (3, 1, -5)) t(-7, 1, -5, 100, (93, 1, -5)) t(-7, 1, -5, 2147483647, (2147483640, 1, -5)) t(-7, 1, -5, 9223372036854775808, (9223372036854775801, 1, -5)) t(-7, 1, -3, 0, (-1, -1, -3)) t(-7, 1, -3, 1, (-1, 0, -3)) t(-7, 1, -3, 5, (-1, 1, -3)) t(-7, 1, -3, 10, (3, 1, -3)) t(-7, 1, -3, 100, (93, 1, -3)) t(-7, 1, -3, 2147483647, (2147483640, 1, -3)) t(-7, 1, -3, 9223372036854775808, (9223372036854775801, 1, -3)) t(-7, 1, -1, 0, (-1, -1, -1)) t(-7, 1, -1, 1, (-1, 0, -1)) t(-7, 1, -1, 5, (-1, 1, -1)) t(-7, 1, -1, 10, (3, 1, -1)) t(-7, 1, -1, 100, (93, 1, -1)) t(-7, 1, -1, 2147483647, (2147483640, 1, -1)) t(-7, 1, -1, 9223372036854775808, (9223372036854775801, 1, -1)) t(-7, 1, 1, 0, (0, 0, 1)) t(-7, 1, 1, 1, (0, 1, 1)) t(-7, 1, 1, 5, (0, 1, 1)) t(-7, 1, 1, 10, (3, 1, 1)) t(-7, 1, 1, 100, (93, 1, 1)) t(-7, 1, 1, 2147483647, (2147483640, 1, 1)) t(-7, 1, 1, 9223372036854775808, (9223372036854775801, 1, 1)) t(-7, 1, 5, 0, (0, 0, 5)) t(-7, 1, 5, 1, (0, 1, 5)) t(-7, 1, 5, 5, (0, 1, 5)) t(-7, 1, 5, 10, (3, 1, 5)) t(-7, 1, 5, 100, (93, 1, 5)) t(-7, 1, 5, 2147483647, (2147483640, 1, 5)) t(-7, 1, 5, 9223372036854775808, (9223372036854775801, 1, 5)) t(-7, 1, 20, 0, (0, 0, 20)) t(-7, 1, 20, 1, (0, 1, 20)) t(-7, 1, 20, 5, (0, 1, 20)) t(-7, 1, 20, 10, (3, 1, 20)) t(-7, 1, 20, 100, (93, 1, 20)) t(-7, 1, 20, 2147483647, (2147483640, 1, 20)) t(-7, 1, 20, 9223372036854775808, (9223372036854775801, 1, 20)) t(-7, 1, 2147483647, 0, (0, 0, 2147483647)) t(-7, 1, 2147483647, 1, (0, 1, 2147483647)) t(-7, 1, 2147483647, 5, (0, 1, 2147483647)) t(-7, 1, 2147483647, 10, (3, 1, 2147483647)) t(-7, 1, 2147483647, 100, (93, 1, 2147483647)) t(-7, 1, 2147483647, 2147483647, (2147483640, 1, 2147483647)) t(-7, 1, 2147483647, 9223372036854775808, (9223372036854775801, 1, 2147483647)) t(-7, 1, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-7, 1, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-7, 1, 9223372036854775808, 5, (0, 1, 9223372036854775808)) t(-7, 1, 9223372036854775808, 10, (3, 1, 9223372036854775808)) t(-7, 1, 9223372036854775808, 100, (93, 1, 9223372036854775808)) t(-7, 1, 9223372036854775808, 2147483647, (2147483640, 1, 9223372036854775808)) t(-7, 1, 9223372036854775808, 9223372036854775808, (9223372036854775801, 1, 9223372036854775808)) t(-7, 6, None, 0, (0, 0, 1)) t(-7, 6, None, 1, (0, 1, 1)) t(-7, 6, None, 5, (0, 5, 1)) t(-7, 6, None, 10, (3, 6, 1)) t(-7, 6, None, 100, (93, 6, 1)) t(-7, 6, None, 2147483647, (2147483640, 6, 1)) t(-7, 6, None, 9223372036854775808, (9223372036854775801, 6, 1)) t(-7, 6, -5, 0, (-1, -1, -5)) t(-7, 6, -5, 1, (-1, 0, -5)) t(-7, 6, -5, 5, (-1, 4, -5)) t(-7, 6, -5, 10, (3, 6, -5)) t(-7, 6, -5, 100, (93, 6, -5)) t(-7, 6, -5, 2147483647, (2147483640, 6, -5)) t(-7, 6, -5, 9223372036854775808, (9223372036854775801, 6, -5)) t(-7, 6, -3, 0, (-1, -1, -3)) t(-7, 6, -3, 1, (-1, 0, -3)) t(-7, 6, -3, 5, (-1, 4, -3)) t(-7, 6, -3, 10, (3, 6, -3)) t(-7, 6, -3, 100, (93, 6, -3)) t(-7, 6, -3, 2147483647, (2147483640, 6, -3)) t(-7, 6, -3, 9223372036854775808, (9223372036854775801, 6, -3)) t(-7, 6, -1, 0, (-1, -1, -1)) t(-7, 6, -1, 1, (-1, 0, -1)) t(-7, 6, -1, 5, (-1, 4, -1)) t(-7, 6, -1, 10, (3, 6, -1)) t(-7, 6, -1, 100, (93, 6, -1)) t(-7, 6, -1, 2147483647, (2147483640, 6, -1)) t(-7, 6, -1, 9223372036854775808, (9223372036854775801, 6, -1)) t(-7, 6, 1, 0, (0, 0, 1)) t(-7, 6, 1, 1, (0, 1, 1)) t(-7, 6, 1, 5, (0, 5, 1)) t(-7, 6, 1, 10, (3, 6, 1)) t(-7, 6, 1, 100, (93, 6, 1)) t(-7, 6, 1, 2147483647, (2147483640, 6, 1)) t(-7, 6, 1, 9223372036854775808, (9223372036854775801, 6, 1)) t(-7, 6, 5, 0, (0, 0, 5)) t(-7, 6, 5, 1, (0, 1, 5)) t(-7, 6, 5, 5, (0, 5, 5)) t(-7, 6, 5, 10, (3, 6, 5)) t(-7, 6, 5, 100, (93, 6, 5)) t(-7, 6, 5, 2147483647, (2147483640, 6, 5)) t(-7, 6, 5, 9223372036854775808, (9223372036854775801, 6, 5)) t(-7, 6, 20, 0, (0, 0, 20)) t(-7, 6, 20, 1, (0, 1, 20)) t(-7, 6, 20, 5, (0, 5, 20)) t(-7, 6, 20, 10, (3, 6, 20)) t(-7, 6, 20, 100, (93, 6, 20)) t(-7, 6, 20, 2147483647, (2147483640, 6, 20)) t(-7, 6, 20, 9223372036854775808, (9223372036854775801, 6, 20)) t(-7, 6, 2147483647, 0, (0, 0, 2147483647)) t(-7, 6, 2147483647, 1, (0, 1, 2147483647)) t(-7, 6, 2147483647, 5, (0, 5, 2147483647)) t(-7, 6, 2147483647, 10, (3, 6, 2147483647)) t(-7, 6, 2147483647, 100, (93, 6, 2147483647)) t(-7, 6, 2147483647, 2147483647, (2147483640, 6, 2147483647)) t(-7, 6, 2147483647, 9223372036854775808, (9223372036854775801, 6, 2147483647)) t(-7, 6, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-7, 6, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-7, 6, 9223372036854775808, 5, (0, 5, 9223372036854775808)) t(-7, 6, 9223372036854775808, 10, (3, 6, 9223372036854775808)) t(-7, 6, 9223372036854775808, 100, (93, 6, 9223372036854775808)) t(-7, 6, 9223372036854775808, 2147483647, (2147483640, 6, 9223372036854775808)) t(-7, 6, 9223372036854775808, 9223372036854775808, (9223372036854775801, 6, 9223372036854775808)) t(-7, 10, None, 0, (0, 0, 1)) t(-7, 10, None, 1, (0, 1, 1)) t(-7, 10, None, 5, (0, 5, 1)) t(-7, 10, None, 10, (3, 10, 1)) t(-7, 10, None, 100, (93, 10, 1)) t(-7, 10, None, 2147483647, (2147483640, 10, 1)) t(-7, 10, None, 9223372036854775808, (9223372036854775801, 10, 1)) t(-7, 10, -5, 0, (-1, -1, -5)) t(-7, 10, -5, 1, (-1, 0, -5)) t(-7, 10, -5, 5, (-1, 4, -5)) t(-7, 10, -5, 10, (3, 9, -5)) t(-7, 10, -5, 100, (93, 10, -5)) t(-7, 10, -5, 2147483647, (2147483640, 10, -5)) t(-7, 10, -5, 9223372036854775808, (9223372036854775801, 10, -5)) t(-7, 10, -3, 0, (-1, -1, -3)) t(-7, 10, -3, 1, (-1, 0, -3)) t(-7, 10, -3, 5, (-1, 4, -3)) t(-7, 10, -3, 10, (3, 9, -3)) t(-7, 10, -3, 100, (93, 10, -3)) t(-7, 10, -3, 2147483647, (2147483640, 10, -3)) t(-7, 10, -3, 9223372036854775808, (9223372036854775801, 10, -3)) t(-7, 10, -1, 0, (-1, -1, -1)) t(-7, 10, -1, 1, (-1, 0, -1)) t(-7, 10, -1, 5, (-1, 4, -1)) t(-7, 10, -1, 10, (3, 9, -1)) t(-7, 10, -1, 100, (93, 10, -1)) t(-7, 10, -1, 2147483647, (2147483640, 10, -1)) t(-7, 10, -1, 9223372036854775808, (9223372036854775801, 10, -1)) t(-7, 10, 1, 0, (0, 0, 1)) t(-7, 10, 1, 1, (0, 1, 1)) t(-7, 10, 1, 5, (0, 5, 1)) t(-7, 10, 1, 10, (3, 10, 1)) t(-7, 10, 1, 100, (93, 10, 1)) t(-7, 10, 1, 2147483647, (2147483640, 10, 1)) t(-7, 10, 1, 9223372036854775808, (9223372036854775801, 10, 1)) t(-7, 10, 5, 0, (0, 0, 5)) t(-7, 10, 5, 1, (0, 1, 5)) t(-7, 10, 5, 5, (0, 5, 5)) t(-7, 10, 5, 10, (3, 10, 5)) t(-7, 10, 5, 100, (93, 10, 5)) t(-7, 10, 5, 2147483647, (2147483640, 10, 5)) t(-7, 10, 5, 9223372036854775808, (9223372036854775801, 10, 5)) t(-7, 10, 20, 0, (0, 0, 20)) t(-7, 10, 20, 1, (0, 1, 20)) t(-7, 10, 20, 5, (0, 5, 20)) t(-7, 10, 20, 10, (3, 10, 20)) t(-7, 10, 20, 100, (93, 10, 20)) t(-7, 10, 20, 2147483647, (2147483640, 10, 20)) t(-7, 10, 20, 9223372036854775808, (9223372036854775801, 10, 20)) t(-7, 10, 2147483647, 0, (0, 0, 2147483647)) t(-7, 10, 2147483647, 1, (0, 1, 2147483647)) t(-7, 10, 2147483647, 5, (0, 5, 2147483647)) t(-7, 10, 2147483647, 10, (3, 10, 2147483647)) t(-7, 10, 2147483647, 100, (93, 10, 2147483647)) t(-7, 10, 2147483647, 2147483647, (2147483640, 10, 2147483647)) t(-7, 10, 2147483647, 9223372036854775808, (9223372036854775801, 10, 2147483647)) t(-7, 10, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-7, 10, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-7, 10, 9223372036854775808, 5, (0, 5, 9223372036854775808)) t(-7, 10, 9223372036854775808, 10, (3, 10, 9223372036854775808)) t(-7, 10, 9223372036854775808, 100, (93, 10, 9223372036854775808)) t(-7, 10, 9223372036854775808, 2147483647, (2147483640, 10, 9223372036854775808)) t(-7, 10, 9223372036854775808, 9223372036854775808, (9223372036854775801, 10, 9223372036854775808)) t(-7, 2147483647, None, 0, (0, 0, 1)) t(-7, 2147483647, None, 1, (0, 1, 1)) t(-7, 2147483647, None, 5, (0, 5, 1)) t(-7, 2147483647, None, 10, (3, 10, 1)) t(-7, 2147483647, None, 100, (93, 100, 1)) t(-7, 2147483647, None, 2147483647, (2147483640, 2147483647, 1)) t(-7, 2147483647, None, 9223372036854775808, (9223372036854775801, 2147483647, 1)) t(-7, 2147483647, -5, 0, (-1, -1, -5)) t(-7, 2147483647, -5, 1, (-1, 0, -5)) t(-7, 2147483647, -5, 5, (-1, 4, -5)) t(-7, 2147483647, -5, 10, (3, 9, -5)) t(-7, 2147483647, -5, 100, (93, 99, -5)) t(-7, 2147483647, -5, 2147483647, (2147483640, 2147483646, -5)) t(-7, 2147483647, -5, 9223372036854775808, (9223372036854775801, 2147483647, -5)) t(-7, 2147483647, -3, 0, (-1, -1, -3)) t(-7, 2147483647, -3, 1, (-1, 0, -3)) t(-7, 2147483647, -3, 5, (-1, 4, -3)) t(-7, 2147483647, -3, 10, (3, 9, -3)) t(-7, 2147483647, -3, 100, (93, 99, -3)) t(-7, 2147483647, -3, 2147483647, (2147483640, 2147483646, -3)) t(-7, 2147483647, -3, 9223372036854775808, (9223372036854775801, 2147483647, -3)) t(-7, 2147483647, -1, 0, (-1, -1, -1)) t(-7, 2147483647, -1, 1, (-1, 0, -1)) t(-7, 2147483647, -1, 5, (-1, 4, -1)) t(-7, 2147483647, -1, 10, (3, 9, -1)) t(-7, 2147483647, -1, 100, (93, 99, -1)) t(-7, 2147483647, -1, 2147483647, (2147483640, 2147483646, -1)) t(-7, 2147483647, -1, 9223372036854775808, (9223372036854775801, 2147483647, -1)) t(-7, 2147483647, 1, 0, (0, 0, 1)) t(-7, 2147483647, 1, 1, (0, 1, 1)) t(-7, 2147483647, 1, 5, (0, 5, 1)) t(-7, 2147483647, 1, 10, (3, 10, 1)) t(-7, 2147483647, 1, 100, (93, 100, 1)) t(-7, 2147483647, 1, 2147483647, (2147483640, 2147483647, 1)) t(-7, 2147483647, 1, 9223372036854775808, (9223372036854775801, 2147483647, 1)) t(-7, 2147483647, 5, 0, (0, 0, 5)) t(-7, 2147483647, 5, 1, (0, 1, 5)) t(-7, 2147483647, 5, 5, (0, 5, 5)) t(-7, 2147483647, 5, 10, (3, 10, 5)) t(-7, 2147483647, 5, 100, (93, 100, 5)) t(-7, 2147483647, 5, 2147483647, (2147483640, 2147483647, 5)) t(-7, 2147483647, 5, 9223372036854775808, (9223372036854775801, 2147483647, 5)) t(-7, 2147483647, 20, 0, (0, 0, 20)) t(-7, 2147483647, 20, 1, (0, 1, 20)) t(-7, 2147483647, 20, 5, (0, 5, 20)) t(-7, 2147483647, 20, 10, (3, 10, 20)) t(-7, 2147483647, 20, 100, (93, 100, 20)) t(-7, 2147483647, 20, 2147483647, (2147483640, 2147483647, 20)) t(-7, 2147483647, 20, 9223372036854775808, (9223372036854775801, 2147483647, 20)) t(-7, 2147483647, 2147483647, 0, (0, 0, 2147483647)) t(-7, 2147483647, 2147483647, 1, (0, 1, 2147483647)) t(-7, 2147483647, 2147483647, 5, (0, 5, 2147483647)) t(-7, 2147483647, 2147483647, 10, (3, 10, 2147483647)) t(-7, 2147483647, 2147483647, 100, (93, 100, 2147483647)) t(-7, 2147483647, 2147483647, 2147483647, (2147483640, 2147483647, 2147483647)) t(-7, 2147483647, 2147483647, 9223372036854775808, (9223372036854775801, 2147483647, 2147483647)) t(-7, 2147483647, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-7, 2147483647, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-7, 2147483647, 9223372036854775808, 5, (0, 5, 9223372036854775808)) t(-7, 2147483647, 9223372036854775808, 10, (3, 10, 9223372036854775808)) t(-7, 2147483647, 9223372036854775808, 100, (93, 100, 9223372036854775808)) t(-7, 2147483647, 9223372036854775808, 2147483647, (2147483640, 2147483647, 9223372036854775808)) t(-7, 2147483647, 9223372036854775808, 9223372036854775808, (9223372036854775801, 2147483647, 9223372036854775808)) t(-7, 9223372036854775808, None, 0, (0, 0, 1)) t(-7, 9223372036854775808, None, 1, (0, 1, 1)) t(-7, 9223372036854775808, None, 5, (0, 5, 1)) t(-7, 9223372036854775808, None, 10, (3, 10, 1)) t(-7, 9223372036854775808, None, 100, (93, 100, 1)) t(-7, 9223372036854775808, None, 2147483647, (2147483640, 2147483647, 1)) t(-7, 9223372036854775808, None, 9223372036854775808, (9223372036854775801, 9223372036854775808, 1)) t(-7, 9223372036854775808, -5, 0, (-1, -1, -5)) t(-7, 9223372036854775808, -5, 1, (-1, 0, -5)) t(-7, 9223372036854775808, -5, 5, (-1, 4, -5)) t(-7, 9223372036854775808, -5, 10, (3, 9, -5)) t(-7, 9223372036854775808, -5, 100, (93, 99, -5)) t(-7, 9223372036854775808, -5, 2147483647, (2147483640, 2147483646, -5)) t(-7, 9223372036854775808, -5, 9223372036854775808, (9223372036854775801, 9223372036854775807, -5)) t(-7, 9223372036854775808, -3, 0, (-1, -1, -3)) t(-7, 9223372036854775808, -3, 1, (-1, 0, -3)) t(-7, 9223372036854775808, -3, 5, (-1, 4, -3)) t(-7, 9223372036854775808, -3, 10, (3, 9, -3)) t(-7, 9223372036854775808, -3, 100, (93, 99, -3)) t(-7, 9223372036854775808, -3, 2147483647, (2147483640, 2147483646, -3)) t(-7, 9223372036854775808, -3, 9223372036854775808, (9223372036854775801, 9223372036854775807, -3)) t(-7, 9223372036854775808, -1, 0, (-1, -1, -1)) t(-7, 9223372036854775808, -1, 1, (-1, 0, -1)) t(-7, 9223372036854775808, -1, 5, (-1, 4, -1)) t(-7, 9223372036854775808, -1, 10, (3, 9, -1)) t(-7, 9223372036854775808, -1, 100, (93, 99, -1)) t(-7, 9223372036854775808, -1, 2147483647, (2147483640, 2147483646, -1)) t(-7, 9223372036854775808, -1, 9223372036854775808, (9223372036854775801, 9223372036854775807, -1)) t(-7, 9223372036854775808, 1, 0, (0, 0, 1)) t(-7, 9223372036854775808, 1, 1, (0, 1, 1)) t(-7, 9223372036854775808, 1, 5, (0, 5, 1)) t(-7, 9223372036854775808, 1, 10, (3, 10, 1)) t(-7, 9223372036854775808, 1, 100, (93, 100, 1)) t(-7, 9223372036854775808, 1, 2147483647, (2147483640, 2147483647, 1)) t(-7, 9223372036854775808, 1, 9223372036854775808, (9223372036854775801, 9223372036854775808, 1)) t(-7, 9223372036854775808, 5, 0, (0, 0, 5)) t(-7, 9223372036854775808, 5, 1, (0, 1, 5)) t(-7, 9223372036854775808, 5, 5, (0, 5, 5)) t(-7, 9223372036854775808, 5, 10, (3, 10, 5)) t(-7, 9223372036854775808, 5, 100, (93, 100, 5)) t(-7, 9223372036854775808, 5, 2147483647, (2147483640, 2147483647, 5)) t(-7, 9223372036854775808, 5, 9223372036854775808, (9223372036854775801, 9223372036854775808, 5)) t(-7, 9223372036854775808, 20, 0, (0, 0, 20)) t(-7, 9223372036854775808, 20, 1, (0, 1, 20)) t(-7, 9223372036854775808, 20, 5, (0, 5, 20)) t(-7, 9223372036854775808, 20, 10, (3, 10, 20)) t(-7, 9223372036854775808, 20, 100, (93, 100, 20)) t(-7, 9223372036854775808, 20, 2147483647, (2147483640, 2147483647, 20)) t(-7, 9223372036854775808, 20, 9223372036854775808, (9223372036854775801, 9223372036854775808, 20)) t(-7, 9223372036854775808, 2147483647, 0, (0, 0, 2147483647)) t(-7, 9223372036854775808, 2147483647, 1, (0, 1, 2147483647)) t(-7, 9223372036854775808, 2147483647, 5, (0, 5, 2147483647)) t(-7, 9223372036854775808, 2147483647, 10, (3, 10, 2147483647)) t(-7, 9223372036854775808, 2147483647, 100, (93, 100, 2147483647)) t(-7, 9223372036854775808, 2147483647, 2147483647, (2147483640, 2147483647, 2147483647)) t(-7, 9223372036854775808, 2147483647, 9223372036854775808, (9223372036854775801, 9223372036854775808, 2147483647)) t(-7, 9223372036854775808, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-7, 9223372036854775808, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-7, 9223372036854775808, 9223372036854775808, 5, (0, 5, 9223372036854775808)) t(-7, 9223372036854775808, 9223372036854775808, 10, (3, 10, 9223372036854775808)) t(-7, 9223372036854775808, 9223372036854775808, 100, (93, 100, 9223372036854775808)) t(-7, 9223372036854775808, 9223372036854775808, 2147483647, (2147483640, 2147483647, 9223372036854775808)) t(-7, 9223372036854775808, 9223372036854775808, 9223372036854775808, (9223372036854775801, 9223372036854775808, 9223372036854775808)) t(-2, None, None, 0, (0, 0, 1)) t(-2, None, None, 1, (0, 1, 1)) t(-2, None, None, 5, (3, 5, 1)) t(-2, None, None, 10, (8, 10, 1)) t(-2, None, None, 100, (98, 100, 1)) t(-2, None, None, 2147483647, (2147483645, 2147483647, 1)) t(-2, None, None, 9223372036854775808, (9223372036854775806, 9223372036854775808, 1)) t(-2, None, -5, 0, (-1, -1, -5)) t(-2, None, -5, 1, (-1, -1, -5)) t(-2, None, -5, 5, (3, -1, -5)) t(-2, None, -5, 10, (8, -1, -5)) t(-2, None, -5, 100, (98, -1, -5)) t(-2, None, -5, 2147483647, (2147483645, -1, -5)) t(-2, None, -5, 9223372036854775808, (9223372036854775806, -1, -5)) t(-2, None, -3, 0, (-1, -1, -3)) t(-2, None, -3, 1, (-1, -1, -3)) t(-2, None, -3, 5, (3, -1, -3)) t(-2, None, -3, 10, (8, -1, -3)) t(-2, None, -3, 100, (98, -1, -3)) t(-2, None, -3, 2147483647, (2147483645, -1, -3)) t(-2, None, -3, 9223372036854775808, (9223372036854775806, -1, -3)) t(-2, None, -1, 0, (-1, -1, -1)) t(-2, None, -1, 1, (-1, -1, -1)) t(-2, None, -1, 5, (3, -1, -1)) t(-2, None, -1, 10, (8, -1, -1)) t(-2, None, -1, 100, (98, -1, -1)) t(-2, None, -1, 2147483647, (2147483645, -1, -1)) t(-2, None, -1, 9223372036854775808, (9223372036854775806, -1, -1)) t(-2, None, 1, 0, (0, 0, 1)) t(-2, None, 1, 1, (0, 1, 1)) t(-2, None, 1, 5, (3, 5, 1)) t(-2, None, 1, 10, (8, 10, 1)) t(-2, None, 1, 100, (98, 100, 1)) t(-2, None, 1, 2147483647, (2147483645, 2147483647, 1)) t(-2, None, 1, 9223372036854775808, (9223372036854775806, 9223372036854775808, 1)) t(-2, None, 5, 0, (0, 0, 5)) t(-2, None, 5, 1, (0, 1, 5)) t(-2, None, 5, 5, (3, 5, 5)) t(-2, None, 5, 10, (8, 10, 5)) t(-2, None, 5, 100, (98, 100, 5)) t(-2, None, 5, 2147483647, (2147483645, 2147483647, 5)) t(-2, None, 5, 9223372036854775808, (9223372036854775806, 9223372036854775808, 5)) t(-2, None, 20, 0, (0, 0, 20)) t(-2, None, 20, 1, (0, 1, 20)) t(-2, None, 20, 5, (3, 5, 20)) t(-2, None, 20, 10, (8, 10, 20)) t(-2, None, 20, 100, (98, 100, 20)) t(-2, None, 20, 2147483647, (2147483645, 2147483647, 20)) t(-2, None, 20, 9223372036854775808, (9223372036854775806, 9223372036854775808, 20)) t(-2, None, 2147483647, 0, (0, 0, 2147483647)) t(-2, None, 2147483647, 1, (0, 1, 2147483647)) t(-2, None, 2147483647, 5, (3, 5, 2147483647)) t(-2, None, 2147483647, 10, (8, 10, 2147483647)) t(-2, None, 2147483647, 100, (98, 100, 2147483647)) t(-2, None, 2147483647, 2147483647, (2147483645, 2147483647, 2147483647)) t(-2, None, 2147483647, 9223372036854775808, (9223372036854775806, 9223372036854775808, 2147483647)) t(-2, None, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-2, None, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-2, None, 9223372036854775808, 5, (3, 5, 9223372036854775808)) t(-2, None, 9223372036854775808, 10, (8, 10, 9223372036854775808)) t(-2, None, 9223372036854775808, 100, (98, 100, 9223372036854775808)) t(-2, None, 9223372036854775808, 2147483647, (2147483645, 2147483647, 9223372036854775808)) t(-2, None, 9223372036854775808, 9223372036854775808, (9223372036854775806, 9223372036854775808, 9223372036854775808)) t(-2, -7, None, 0, (0, 0, 1)) t(-2, -7, None, 1, (0, 0, 1)) t(-2, -7, None, 5, (3, 0, 1)) t(-2, -7, None, 10, (8, 3, 1)) t(-2, -7, None, 100, (98, 93, 1)) t(-2, -7, None, 2147483647, (2147483645, 2147483640, 1)) t(-2, -7, None, 9223372036854775808, (9223372036854775806, 9223372036854775801, 1)) t(-2, -7, -5, 0, (-1, -1, -5)) t(-2, -7, -5, 1, (-1, -1, -5)) t(-2, -7, -5, 5, (3, -1, -5)) t(-2, -7, -5, 10, (8, 3, -5)) t(-2, -7, -5, 100, (98, 93, -5)) t(-2, -7, -5, 2147483647, (2147483645, 2147483640, -5)) t(-2, -7, -5, 9223372036854775808, (9223372036854775806, 9223372036854775801, -5)) t(-2, -7, -3, 0, (-1, -1, -3)) t(-2, -7, -3, 1, (-1, -1, -3)) t(-2, -7, -3, 5, (3, -1, -3)) t(-2, -7, -3, 10, (8, 3, -3)) t(-2, -7, -3, 100, (98, 93, -3)) t(-2, -7, -3, 2147483647, (2147483645, 2147483640, -3)) t(-2, -7, -3, 9223372036854775808, (9223372036854775806, 9223372036854775801, -3)) t(-2, -7, -1, 0, (-1, -1, -1)) t(-2, -7, -1, 1, (-1, -1, -1)) t(-2, -7, -1, 5, (3, -1, -1)) t(-2, -7, -1, 10, (8, 3, -1)) t(-2, -7, -1, 100, (98, 93, -1)) t(-2, -7, -1, 2147483647, (2147483645, 2147483640, -1)) t(-2, -7, -1, 9223372036854775808, (9223372036854775806, 9223372036854775801, -1)) t(-2, -7, 1, 0, (0, 0, 1)) t(-2, -7, 1, 1, (0, 0, 1)) t(-2, -7, 1, 5, (3, 0, 1)) t(-2, -7, 1, 10, (8, 3, 1)) t(-2, -7, 1, 100, (98, 93, 1)) t(-2, -7, 1, 2147483647, (2147483645, 2147483640, 1)) t(-2, -7, 1, 9223372036854775808, (9223372036854775806, 9223372036854775801, 1)) t(-2, -7, 5, 0, (0, 0, 5)) t(-2, -7, 5, 1, (0, 0, 5)) t(-2, -7, 5, 5, (3, 0, 5)) t(-2, -7, 5, 10, (8, 3, 5)) t(-2, -7, 5, 100, (98, 93, 5)) t(-2, -7, 5, 2147483647, (2147483645, 2147483640, 5)) t(-2, -7, 5, 9223372036854775808, (9223372036854775806, 9223372036854775801, 5)) t(-2, -7, 20, 0, (0, 0, 20)) t(-2, -7, 20, 1, (0, 0, 20)) t(-2, -7, 20, 5, (3, 0, 20)) t(-2, -7, 20, 10, (8, 3, 20)) t(-2, -7, 20, 100, (98, 93, 20)) t(-2, -7, 20, 2147483647, (2147483645, 2147483640, 20)) t(-2, -7, 20, 9223372036854775808, (9223372036854775806, 9223372036854775801, 20)) t(-2, -7, 2147483647, 0, (0, 0, 2147483647)) t(-2, -7, 2147483647, 1, (0, 0, 2147483647)) t(-2, -7, 2147483647, 5, (3, 0, 2147483647)) t(-2, -7, 2147483647, 10, (8, 3, 2147483647)) t(-2, -7, 2147483647, 100, (98, 93, 2147483647)) t(-2, -7, 2147483647, 2147483647, (2147483645, 2147483640, 2147483647)) t(-2, -7, 2147483647, 9223372036854775808, (9223372036854775806, 9223372036854775801, 2147483647)) t(-2, -7, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-2, -7, 9223372036854775808, 1, (0, 0, 9223372036854775808)) t(-2, -7, 9223372036854775808, 5, (3, 0, 9223372036854775808)) t(-2, -7, 9223372036854775808, 10, (8, 3, 9223372036854775808)) t(-2, -7, 9223372036854775808, 100, (98, 93, 9223372036854775808)) t(-2, -7, 9223372036854775808, 2147483647, (2147483645, 2147483640, 9223372036854775808)) t(-2, -7, 9223372036854775808, 9223372036854775808, (9223372036854775806, 9223372036854775801, 9223372036854775808)) t(-2, -2, None, 0, (0, 0, 1)) t(-2, -2, None, 1, (0, 0, 1)) t(-2, -2, None, 5, (3, 3, 1)) t(-2, -2, None, 10, (8, 8, 1)) t(-2, -2, None, 100, (98, 98, 1)) t(-2, -2, None, 2147483647, (2147483645, 2147483645, 1)) t(-2, -2, None, 9223372036854775808, (9223372036854775806, 9223372036854775806, 1)) t(-2, -2, -5, 0, (-1, -1, -5)) t(-2, -2, -5, 1, (-1, -1, -5)) t(-2, -2, -5, 5, (3, 3, -5)) t(-2, -2, -5, 10, (8, 8, -5)) t(-2, -2, -5, 100, (98, 98, -5)) t(-2, -2, -5, 2147483647, (2147483645, 2147483645, -5)) t(-2, -2, -5, 9223372036854775808, (9223372036854775806, 9223372036854775806, -5)) t(-2, -2, -3, 0, (-1, -1, -3)) t(-2, -2, -3, 1, (-1, -1, -3)) t(-2, -2, -3, 5, (3, 3, -3)) t(-2, -2, -3, 10, (8, 8, -3)) t(-2, -2, -3, 100, (98, 98, -3)) t(-2, -2, -3, 2147483647, (2147483645, 2147483645, -3)) t(-2, -2, -3, 9223372036854775808, (9223372036854775806, 9223372036854775806, -3)) t(-2, -2, -1, 0, (-1, -1, -1)) t(-2, -2, -1, 1, (-1, -1, -1)) t(-2, -2, -1, 5, (3, 3, -1)) t(-2, -2, -1, 10, (8, 8, -1)) t(-2, -2, -1, 100, (98, 98, -1)) t(-2, -2, -1, 2147483647, (2147483645, 2147483645, -1)) t(-2, -2, -1, 9223372036854775808, (9223372036854775806, 9223372036854775806, -1)) t(-2, -2, 1, 0, (0, 0, 1)) t(-2, -2, 1, 1, (0, 0, 1)) t(-2, -2, 1, 5, (3, 3, 1)) t(-2, -2, 1, 10, (8, 8, 1)) t(-2, -2, 1, 100, (98, 98, 1)) t(-2, -2, 1, 2147483647, (2147483645, 2147483645, 1)) t(-2, -2, 1, 9223372036854775808, (9223372036854775806, 9223372036854775806, 1)) t(-2, -2, 5, 0, (0, 0, 5)) t(-2, -2, 5, 1, (0, 0, 5)) t(-2, -2, 5, 5, (3, 3, 5)) t(-2, -2, 5, 10, (8, 8, 5)) t(-2, -2, 5, 100, (98, 98, 5)) t(-2, -2, 5, 2147483647, (2147483645, 2147483645, 5)) t(-2, -2, 5, 9223372036854775808, (9223372036854775806, 9223372036854775806, 5)) t(-2, -2, 20, 0, (0, 0, 20)) t(-2, -2, 20, 1, (0, 0, 20)) t(-2, -2, 20, 5, (3, 3, 20)) t(-2, -2, 20, 10, (8, 8, 20)) t(-2, -2, 20, 100, (98, 98, 20)) t(-2, -2, 20, 2147483647, (2147483645, 2147483645, 20)) t(-2, -2, 20, 9223372036854775808, (9223372036854775806, 9223372036854775806, 20)) t(-2, -2, 2147483647, 0, (0, 0, 2147483647)) t(-2, -2, 2147483647, 1, (0, 0, 2147483647)) t(-2, -2, 2147483647, 5, (3, 3, 2147483647)) t(-2, -2, 2147483647, 10, (8, 8, 2147483647)) t(-2, -2, 2147483647, 100, (98, 98, 2147483647)) t(-2, -2, 2147483647, 2147483647, (2147483645, 2147483645, 2147483647)) t(-2, -2, 2147483647, 9223372036854775808, (9223372036854775806, 9223372036854775806, 2147483647)) t(-2, -2, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-2, -2, 9223372036854775808, 1, (0, 0, 9223372036854775808)) t(-2, -2, 9223372036854775808, 5, (3, 3, 9223372036854775808)) t(-2, -2, 9223372036854775808, 10, (8, 8, 9223372036854775808)) t(-2, -2, 9223372036854775808, 100, (98, 98, 9223372036854775808)) t(-2, -2, 9223372036854775808, 2147483647, (2147483645, 2147483645, 9223372036854775808)) t(-2, -2, 9223372036854775808, 9223372036854775808, (9223372036854775806, 9223372036854775806, 9223372036854775808)) t(-2, 0, None, 0, (0, 0, 1)) t(-2, 0, None, 1, (0, 0, 1)) t(-2, 0, None, 5, (3, 0, 1)) t(-2, 0, None, 10, (8, 0, 1)) t(-2, 0, None, 100, (98, 0, 1)) t(-2, 0, None, 2147483647, (2147483645, 0, 1)) t(-2, 0, None, 9223372036854775808, (9223372036854775806, 0, 1)) t(-2, 0, -5, 0, (-1, -1, -5)) t(-2, 0, -5, 1, (-1, 0, -5)) t(-2, 0, -5, 5, (3, 0, -5)) t(-2, 0, -5, 10, (8, 0, -5)) t(-2, 0, -5, 100, (98, 0, -5)) t(-2, 0, -5, 2147483647, (2147483645, 0, -5)) t(-2, 0, -5, 9223372036854775808, (9223372036854775806, 0, -5)) t(-2, 0, -3, 0, (-1, -1, -3)) t(-2, 0, -3, 1, (-1, 0, -3)) t(-2, 0, -3, 5, (3, 0, -3)) t(-2, 0, -3, 10, (8, 0, -3)) t(-2, 0, -3, 100, (98, 0, -3)) t(-2, 0, -3, 2147483647, (2147483645, 0, -3)) t(-2, 0, -3, 9223372036854775808, (9223372036854775806, 0, -3)) t(-2, 0, -1, 0, (-1, -1, -1)) t(-2, 0, -1, 1, (-1, 0, -1)) t(-2, 0, -1, 5, (3, 0, -1)) t(-2, 0, -1, 10, (8, 0, -1)) t(-2, 0, -1, 100, (98, 0, -1)) t(-2, 0, -1, 2147483647, (2147483645, 0, -1)) t(-2, 0, -1, 9223372036854775808, (9223372036854775806, 0, -1)) t(-2, 0, 1, 0, (0, 0, 1)) t(-2, 0, 1, 1, (0, 0, 1)) t(-2, 0, 1, 5, (3, 0, 1)) t(-2, 0, 1, 10, (8, 0, 1)) t(-2, 0, 1, 100, (98, 0, 1)) t(-2, 0, 1, 2147483647, (2147483645, 0, 1)) t(-2, 0, 1, 9223372036854775808, (9223372036854775806, 0, 1)) t(-2, 0, 5, 0, (0, 0, 5)) t(-2, 0, 5, 1, (0, 0, 5)) t(-2, 0, 5, 5, (3, 0, 5)) t(-2, 0, 5, 10, (8, 0, 5)) t(-2, 0, 5, 100, (98, 0, 5)) t(-2, 0, 5, 2147483647, (2147483645, 0, 5)) t(-2, 0, 5, 9223372036854775808, (9223372036854775806, 0, 5)) t(-2, 0, 20, 0, (0, 0, 20)) t(-2, 0, 20, 1, (0, 0, 20)) t(-2, 0, 20, 5, (3, 0, 20)) t(-2, 0, 20, 10, (8, 0, 20)) t(-2, 0, 20, 100, (98, 0, 20)) t(-2, 0, 20, 2147483647, (2147483645, 0, 20)) t(-2, 0, 20, 9223372036854775808, (9223372036854775806, 0, 20)) t(-2, 0, 2147483647, 0, (0, 0, 2147483647)) t(-2, 0, 2147483647, 1, (0, 0, 2147483647)) t(-2, 0, 2147483647, 5, (3, 0, 2147483647)) t(-2, 0, 2147483647, 10, (8, 0, 2147483647)) t(-2, 0, 2147483647, 100, (98, 0, 2147483647)) t(-2, 0, 2147483647, 2147483647, (2147483645, 0, 2147483647)) t(-2, 0, 2147483647, 9223372036854775808, (9223372036854775806, 0, 2147483647)) t(-2, 0, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-2, 0, 9223372036854775808, 1, (0, 0, 9223372036854775808)) t(-2, 0, 9223372036854775808, 5, (3, 0, 9223372036854775808)) t(-2, 0, 9223372036854775808, 10, (8, 0, 9223372036854775808)) t(-2, 0, 9223372036854775808, 100, (98, 0, 9223372036854775808)) t(-2, 0, 9223372036854775808, 2147483647, (2147483645, 0, 9223372036854775808)) t(-2, 0, 9223372036854775808, 9223372036854775808, (9223372036854775806, 0, 9223372036854775808)) t(-2, 1, None, 0, (0, 0, 1)) t(-2, 1, None, 1, (0, 1, 1)) t(-2, 1, None, 5, (3, 1, 1)) t(-2, 1, None, 10, (8, 1, 1)) t(-2, 1, None, 100, (98, 1, 1)) t(-2, 1, None, 2147483647, (2147483645, 1, 1)) t(-2, 1, None, 9223372036854775808, (9223372036854775806, 1, 1)) t(-2, 1, -5, 0, (-1, -1, -5)) t(-2, 1, -5, 1, (-1, 0, -5)) t(-2, 1, -5, 5, (3, 1, -5)) t(-2, 1, -5, 10, (8, 1, -5)) t(-2, 1, -5, 100, (98, 1, -5)) t(-2, 1, -5, 2147483647, (2147483645, 1, -5)) t(-2, 1, -5, 9223372036854775808, (9223372036854775806, 1, -5)) t(-2, 1, -3, 0, (-1, -1, -3)) t(-2, 1, -3, 1, (-1, 0, -3)) t(-2, 1, -3, 5, (3, 1, -3)) t(-2, 1, -3, 10, (8, 1, -3)) t(-2, 1, -3, 100, (98, 1, -3)) t(-2, 1, -3, 2147483647, (2147483645, 1, -3)) t(-2, 1, -3, 9223372036854775808, (9223372036854775806, 1, -3)) t(-2, 1, -1, 0, (-1, -1, -1)) t(-2, 1, -1, 1, (-1, 0, -1)) t(-2, 1, -1, 5, (3, 1, -1)) t(-2, 1, -1, 10, (8, 1, -1)) t(-2, 1, -1, 100, (98, 1, -1)) t(-2, 1, -1, 2147483647, (2147483645, 1, -1)) t(-2, 1, -1, 9223372036854775808, (9223372036854775806, 1, -1)) t(-2, 1, 1, 0, (0, 0, 1)) t(-2, 1, 1, 1, (0, 1, 1)) t(-2, 1, 1, 5, (3, 1, 1)) t(-2, 1, 1, 10, (8, 1, 1)) t(-2, 1, 1, 100, (98, 1, 1)) t(-2, 1, 1, 2147483647, (2147483645, 1, 1)) t(-2, 1, 1, 9223372036854775808, (9223372036854775806, 1, 1)) t(-2, 1, 5, 0, (0, 0, 5)) t(-2, 1, 5, 1, (0, 1, 5)) t(-2, 1, 5, 5, (3, 1, 5)) t(-2, 1, 5, 10, (8, 1, 5)) t(-2, 1, 5, 100, (98, 1, 5)) t(-2, 1, 5, 2147483647, (2147483645, 1, 5)) t(-2, 1, 5, 9223372036854775808, (9223372036854775806, 1, 5)) t(-2, 1, 20, 0, (0, 0, 20)) t(-2, 1, 20, 1, (0, 1, 20)) t(-2, 1, 20, 5, (3, 1, 20)) t(-2, 1, 20, 10, (8, 1, 20)) t(-2, 1, 20, 100, (98, 1, 20)) t(-2, 1, 20, 2147483647, (2147483645, 1, 20)) t(-2, 1, 20, 9223372036854775808, (9223372036854775806, 1, 20)) t(-2, 1, 2147483647, 0, (0, 0, 2147483647)) t(-2, 1, 2147483647, 1, (0, 1, 2147483647)) t(-2, 1, 2147483647, 5, (3, 1, 2147483647)) t(-2, 1, 2147483647, 10, (8, 1, 2147483647)) t(-2, 1, 2147483647, 100, (98, 1, 2147483647)) t(-2, 1, 2147483647, 2147483647, (2147483645, 1, 2147483647)) t(-2, 1, 2147483647, 9223372036854775808, (9223372036854775806, 1, 2147483647)) t(-2, 1, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-2, 1, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-2, 1, 9223372036854775808, 5, (3, 1, 9223372036854775808)) t(-2, 1, 9223372036854775808, 10, (8, 1, 9223372036854775808)) t(-2, 1, 9223372036854775808, 100, (98, 1, 9223372036854775808)) t(-2, 1, 9223372036854775808, 2147483647, (2147483645, 1, 9223372036854775808)) t(-2, 1, 9223372036854775808, 9223372036854775808, (9223372036854775806, 1, 9223372036854775808)) t(-2, 6, None, 0, (0, 0, 1)) t(-2, 6, None, 1, (0, 1, 1)) t(-2, 6, None, 5, (3, 5, 1)) t(-2, 6, None, 10, (8, 6, 1)) t(-2, 6, None, 100, (98, 6, 1)) t(-2, 6, None, 2147483647, (2147483645, 6, 1)) t(-2, 6, None, 9223372036854775808, (9223372036854775806, 6, 1)) t(-2, 6, -5, 0, (-1, -1, -5)) t(-2, 6, -5, 1, (-1, 0, -5)) t(-2, 6, -5, 5, (3, 4, -5)) t(-2, 6, -5, 10, (8, 6, -5)) t(-2, 6, -5, 100, (98, 6, -5)) t(-2, 6, -5, 2147483647, (2147483645, 6, -5)) t(-2, 6, -5, 9223372036854775808, (9223372036854775806, 6, -5)) t(-2, 6, -3, 0, (-1, -1, -3)) t(-2, 6, -3, 1, (-1, 0, -3)) t(-2, 6, -3, 5, (3, 4, -3)) t(-2, 6, -3, 10, (8, 6, -3)) t(-2, 6, -3, 100, (98, 6, -3)) t(-2, 6, -3, 2147483647, (2147483645, 6, -3)) t(-2, 6, -3, 9223372036854775808, (9223372036854775806, 6, -3)) t(-2, 6, -1, 0, (-1, -1, -1)) t(-2, 6, -1, 1, (-1, 0, -1)) t(-2, 6, -1, 5, (3, 4, -1)) t(-2, 6, -1, 10, (8, 6, -1)) t(-2, 6, -1, 100, (98, 6, -1)) t(-2, 6, -1, 2147483647, (2147483645, 6, -1)) t(-2, 6, -1, 9223372036854775808, (9223372036854775806, 6, -1)) t(-2, 6, 1, 0, (0, 0, 1)) t(-2, 6, 1, 1, (0, 1, 1)) t(-2, 6, 1, 5, (3, 5, 1)) t(-2, 6, 1, 10, (8, 6, 1)) t(-2, 6, 1, 100, (98, 6, 1)) t(-2, 6, 1, 2147483647, (2147483645, 6, 1)) t(-2, 6, 1, 9223372036854775808, (9223372036854775806, 6, 1)) t(-2, 6, 5, 0, (0, 0, 5)) t(-2, 6, 5, 1, (0, 1, 5)) t(-2, 6, 5, 5, (3, 5, 5)) t(-2, 6, 5, 10, (8, 6, 5)) t(-2, 6, 5, 100, (98, 6, 5)) t(-2, 6, 5, 2147483647, (2147483645, 6, 5)) t(-2, 6, 5, 9223372036854775808, (9223372036854775806, 6, 5)) t(-2, 6, 20, 0, (0, 0, 20)) t(-2, 6, 20, 1, (0, 1, 20)) t(-2, 6, 20, 5, (3, 5, 20)) t(-2, 6, 20, 10, (8, 6, 20)) t(-2, 6, 20, 100, (98, 6, 20)) t(-2, 6, 20, 2147483647, (2147483645, 6, 20)) t(-2, 6, 20, 9223372036854775808, (9223372036854775806, 6, 20)) t(-2, 6, 2147483647, 0, (0, 0, 2147483647)) t(-2, 6, 2147483647, 1, (0, 1, 2147483647)) t(-2, 6, 2147483647, 5, (3, 5, 2147483647)) t(-2, 6, 2147483647, 10, (8, 6, 2147483647)) t(-2, 6, 2147483647, 100, (98, 6, 2147483647)) t(-2, 6, 2147483647, 2147483647, (2147483645, 6, 2147483647)) t(-2, 6, 2147483647, 9223372036854775808, (9223372036854775806, 6, 2147483647)) t(-2, 6, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-2, 6, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-2, 6, 9223372036854775808, 5, (3, 5, 9223372036854775808)) t(-2, 6, 9223372036854775808, 10, (8, 6, 9223372036854775808)) t(-2, 6, 9223372036854775808, 100, (98, 6, 9223372036854775808)) t(-2, 6, 9223372036854775808, 2147483647, (2147483645, 6, 9223372036854775808)) t(-2, 6, 9223372036854775808, 9223372036854775808, (9223372036854775806, 6, 9223372036854775808)) t(-2, 10, None, 0, (0, 0, 1)) t(-2, 10, None, 1, (0, 1, 1)) t(-2, 10, None, 5, (3, 5, 1)) t(-2, 10, None, 10, (8, 10, 1)) t(-2, 10, None, 100, (98, 10, 1)) t(-2, 10, 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10, (8, 10, 1)) t(-2, 10, 1, 100, (98, 10, 1)) t(-2, 10, 1, 2147483647, (2147483645, 10, 1)) t(-2, 10, 1, 9223372036854775808, (9223372036854775806, 10, 1)) t(-2, 10, 5, 0, (0, 0, 5)) t(-2, 10, 5, 1, (0, 1, 5)) t(-2, 10, 5, 5, (3, 5, 5)) t(-2, 10, 5, 10, (8, 10, 5)) t(-2, 10, 5, 100, (98, 10, 5)) t(-2, 10, 5, 2147483647, (2147483645, 10, 5)) t(-2, 10, 5, 9223372036854775808, (9223372036854775806, 10, 5)) t(-2, 10, 20, 0, (0, 0, 20)) t(-2, 10, 20, 1, (0, 1, 20)) t(-2, 10, 20, 5, (3, 5, 20)) t(-2, 10, 20, 10, (8, 10, 20)) t(-2, 10, 20, 100, (98, 10, 20)) t(-2, 10, 20, 2147483647, (2147483645, 10, 20)) t(-2, 10, 20, 9223372036854775808, (9223372036854775806, 10, 20)) t(-2, 10, 2147483647, 0, (0, 0, 2147483647)) t(-2, 10, 2147483647, 1, (0, 1, 2147483647)) t(-2, 10, 2147483647, 5, (3, 5, 2147483647)) t(-2, 10, 2147483647, 10, (8, 10, 2147483647)) t(-2, 10, 2147483647, 100, (98, 10, 2147483647)) t(-2, 10, 2147483647, 2147483647, (2147483645, 10, 2147483647)) t(-2, 10, 2147483647, 9223372036854775808, (9223372036854775806, 10, 2147483647)) t(-2, 10, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-2, 10, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-2, 10, 9223372036854775808, 5, (3, 5, 9223372036854775808)) t(-2, 10, 9223372036854775808, 10, (8, 10, 9223372036854775808)) t(-2, 10, 9223372036854775808, 100, (98, 10, 9223372036854775808)) t(-2, 10, 9223372036854775808, 2147483647, (2147483645, 10, 9223372036854775808)) t(-2, 10, 9223372036854775808, 9223372036854775808, (9223372036854775806, 10, 9223372036854775808)) t(-2, 2147483647, None, 0, (0, 0, 1)) t(-2, 2147483647, None, 1, (0, 1, 1)) t(-2, 2147483647, None, 5, (3, 5, 1)) t(-2, 2147483647, None, 10, (8, 10, 1)) t(-2, 2147483647, None, 100, (98, 100, 1)) t(-2, 2147483647, None, 2147483647, (2147483645, 2147483647, 1)) t(-2, 2147483647, None, 9223372036854775808, (9223372036854775806, 2147483647, 1)) t(-2, 2147483647, -5, 0, (-1, -1, -5)) t(-2, 2147483647, -5, 1, (-1, 0, -5)) t(-2, 2147483647, -5, 5, (3, 4, -5)) t(-2, 2147483647, -5, 10, (8, 9, -5)) t(-2, 2147483647, -5, 100, (98, 99, -5)) t(-2, 2147483647, -5, 2147483647, (2147483645, 2147483646, -5)) t(-2, 2147483647, -5, 9223372036854775808, (9223372036854775806, 2147483647, -5)) t(-2, 2147483647, -3, 0, (-1, -1, -3)) t(-2, 2147483647, -3, 1, (-1, 0, -3)) t(-2, 2147483647, -3, 5, (3, 4, -3)) t(-2, 2147483647, -3, 10, (8, 9, -3)) t(-2, 2147483647, -3, 100, (98, 99, -3)) t(-2, 2147483647, -3, 2147483647, (2147483645, 2147483646, -3)) t(-2, 2147483647, -3, 9223372036854775808, (9223372036854775806, 2147483647, -3)) t(-2, 2147483647, -1, 0, (-1, -1, -1)) t(-2, 2147483647, -1, 1, (-1, 0, -1)) t(-2, 2147483647, -1, 5, (3, 4, -1)) t(-2, 2147483647, -1, 10, (8, 9, -1)) t(-2, 2147483647, -1, 100, (98, 99, -1)) t(-2, 2147483647, -1, 2147483647, (2147483645, 2147483646, -1)) t(-2, 2147483647, -1, 9223372036854775808, (9223372036854775806, 2147483647, -1)) t(-2, 2147483647, 1, 0, (0, 0, 1)) t(-2, 2147483647, 1, 1, (0, 1, 1)) t(-2, 2147483647, 1, 5, (3, 5, 1)) t(-2, 2147483647, 1, 10, (8, 10, 1)) t(-2, 2147483647, 1, 100, (98, 100, 1)) t(-2, 2147483647, 1, 2147483647, (2147483645, 2147483647, 1)) t(-2, 2147483647, 1, 9223372036854775808, (9223372036854775806, 2147483647, 1)) t(-2, 2147483647, 5, 0, (0, 0, 5)) t(-2, 2147483647, 5, 1, (0, 1, 5)) t(-2, 2147483647, 5, 5, (3, 5, 5)) t(-2, 2147483647, 5, 10, (8, 10, 5)) t(-2, 2147483647, 5, 100, (98, 100, 5)) t(-2, 2147483647, 5, 2147483647, (2147483645, 2147483647, 5)) t(-2, 2147483647, 5, 9223372036854775808, (9223372036854775806, 2147483647, 5)) t(-2, 2147483647, 20, 0, (0, 0, 20)) t(-2, 2147483647, 20, 1, (0, 1, 20)) t(-2, 2147483647, 20, 5, (3, 5, 20)) t(-2, 2147483647, 20, 10, (8, 10, 20)) t(-2, 2147483647, 20, 100, (98, 100, 20)) t(-2, 2147483647, 20, 2147483647, (2147483645, 2147483647, 20)) t(-2, 2147483647, 20, 9223372036854775808, (9223372036854775806, 2147483647, 20)) t(-2, 2147483647, 2147483647, 0, (0, 0, 2147483647)) t(-2, 2147483647, 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1)) t(-2, 9223372036854775808, None, 1, (0, 1, 1)) t(-2, 9223372036854775808, None, 5, (3, 5, 1)) t(-2, 9223372036854775808, None, 10, (8, 10, 1)) t(-2, 9223372036854775808, None, 100, (98, 100, 1)) t(-2, 9223372036854775808, None, 2147483647, (2147483645, 2147483647, 1)) t(-2, 9223372036854775808, None, 9223372036854775808, (9223372036854775806, 9223372036854775808, 1)) t(-2, 9223372036854775808, -5, 0, (-1, -1, -5)) t(-2, 9223372036854775808, -5, 1, (-1, 0, -5)) t(-2, 9223372036854775808, -5, 5, (3, 4, -5)) t(-2, 9223372036854775808, -5, 10, (8, 9, -5)) t(-2, 9223372036854775808, -5, 100, (98, 99, -5)) t(-2, 9223372036854775808, -5, 2147483647, (2147483645, 2147483646, -5)) t(-2, 9223372036854775808, -5, 9223372036854775808, (9223372036854775806, 9223372036854775807, -5)) t(-2, 9223372036854775808, -3, 0, (-1, -1, -3)) t(-2, 9223372036854775808, -3, 1, (-1, 0, -3)) t(-2, 9223372036854775808, -3, 5, (3, 4, -3)) t(-2, 9223372036854775808, -3, 10, (8, 9, -3)) t(-2, 9223372036854775808, 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t(2147483647, 2147483647, None, 5, (5, 5, 1)) t(2147483647, 2147483647, None, 10, (10, 10, 1)) t(2147483647, 2147483647, None, 100, (100, 100, 1)) t(2147483647, 2147483647, None, 2147483647, (2147483647, 2147483647, 1)) t(2147483647, 2147483647, None, 9223372036854775808, (2147483647, 2147483647, 1)) t(2147483647, 2147483647, -5, 0, (-1, -1, -5)) t(2147483647, 2147483647, -5, 1, (0, 0, -5)) t(2147483647, 2147483647, -5, 5, (4, 4, -5)) t(2147483647, 2147483647, -5, 10, (9, 9, -5)) t(2147483647, 2147483647, -5, 100, (99, 99, -5)) t(2147483647, 2147483647, -5, 2147483647, (2147483646, 2147483646, -5)) t(2147483647, 2147483647, -5, 9223372036854775808, (2147483647, 2147483647, -5)) t(2147483647, 2147483647, -3, 0, (-1, -1, -3)) t(2147483647, 2147483647, -3, 1, (0, 0, -3)) t(2147483647, 2147483647, -3, 5, (4, 4, -3)) t(2147483647, 2147483647, -3, 10, (9, 9, -3)) t(2147483647, 2147483647, -3, 100, (99, 99, -3)) t(2147483647, 2147483647, -3, 2147483647, (2147483646, 2147483646, -3)) t(2147483647, 2147483647, -3, 9223372036854775808, (2147483647, 2147483647, -3)) t(2147483647, 2147483647, -1, 0, (-1, -1, -1)) t(2147483647, 2147483647, -1, 1, (0, 0, -1)) t(2147483647, 2147483647, -1, 5, (4, 4, -1)) t(2147483647, 2147483647, -1, 10, (9, 9, -1)) t(2147483647, 2147483647, -1, 100, (99, 99, -1)) t(2147483647, 2147483647, -1, 2147483647, (2147483646, 2147483646, -1)) t(2147483647, 2147483647, -1, 9223372036854775808, (2147483647, 2147483647, -1)) t(2147483647, 2147483647, 1, 0, (0, 0, 1)) t(2147483647, 2147483647, 1, 1, (1, 1, 1)) t(2147483647, 2147483647, 1, 5, (5, 5, 1)) t(2147483647, 2147483647, 1, 10, (10, 10, 1)) t(2147483647, 2147483647, 1, 100, (100, 100, 1)) t(2147483647, 2147483647, 1, 2147483647, (2147483647, 2147483647, 1)) t(2147483647, 2147483647, 1, 9223372036854775808, (2147483647, 2147483647, 1)) t(2147483647, 2147483647, 5, 0, (0, 0, 5)) t(2147483647, 2147483647, 5, 1, (1, 1, 5)) t(2147483647, 2147483647, 5, 5, (5, 5, 5)) t(2147483647, 2147483647, 5, 10, (10, 10, 5)) t(2147483647, 2147483647, 5, 100, (100, 100, 5)) t(2147483647, 2147483647, 5, 2147483647, (2147483647, 2147483647, 5)) t(2147483647, 2147483647, 5, 9223372036854775808, (2147483647, 2147483647, 5)) t(2147483647, 2147483647, 20, 0, (0, 0, 20)) t(2147483647, 2147483647, 20, 1, (1, 1, 20)) t(2147483647, 2147483647, 20, 5, (5, 5, 20)) t(2147483647, 2147483647, 20, 10, (10, 10, 20)) t(2147483647, 2147483647, 20, 100, (100, 100, 20)) t(2147483647, 2147483647, 20, 2147483647, (2147483647, 2147483647, 20)) t(2147483647, 2147483647, 20, 9223372036854775808, (2147483647, 2147483647, 20)) t(2147483647, 2147483647, 2147483647, 0, (0, 0, 2147483647)) t(2147483647, 2147483647, 2147483647, 1, (1, 1, 2147483647)) t(2147483647, 2147483647, 2147483647, 5, (5, 5, 2147483647)) t(2147483647, 2147483647, 2147483647, 10, (10, 10, 2147483647)) t(2147483647, 2147483647, 2147483647, 100, (100, 100, 2147483647)) t(2147483647, 2147483647, 2147483647, 2147483647, (2147483647, 2147483647, 2147483647)) t(2147483647, 2147483647, 2147483647, 9223372036854775808, (2147483647, 2147483647, 2147483647)) t(2147483647, 2147483647, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(2147483647, 2147483647, 9223372036854775808, 1, (1, 1, 9223372036854775808)) t(2147483647, 2147483647, 9223372036854775808, 5, (5, 5, 9223372036854775808)) t(2147483647, 2147483647, 9223372036854775808, 10, (10, 10, 9223372036854775808)) t(2147483647, 2147483647, 9223372036854775808, 100, (100, 100, 9223372036854775808)) t(2147483647, 2147483647, 9223372036854775808, 2147483647, (2147483647, 2147483647, 9223372036854775808)) t(2147483647, 2147483647, 9223372036854775808, 9223372036854775808, (2147483647, 2147483647, 9223372036854775808)) t(2147483647, 9223372036854775808, None, 0, (0, 0, 1)) t(2147483647, 9223372036854775808, None, 1, (1, 1, 1)) t(2147483647, 9223372036854775808, None, 5, (5, 5, 1)) t(2147483647, 9223372036854775808, None, 10, (10, 10, 1)) t(2147483647, 9223372036854775808, None, 100, (100, 100, 1)) t(2147483647, 9223372036854775808, None, 2147483647, (2147483647, 2147483647, 1)) t(2147483647, 9223372036854775808, None, 9223372036854775808, (2147483647, 9223372036854775808, 1)) t(2147483647, 9223372036854775808, -5, 0, (-1, -1, -5)) t(2147483647, 9223372036854775808, -5, 1, (0, 0, -5)) t(2147483647, 9223372036854775808, -5, 5, (4, 4, -5)) t(2147483647, 9223372036854775808, -5, 10, (9, 9, -5)) t(2147483647, 9223372036854775808, -5, 100, (99, 99, -5)) t(2147483647, 9223372036854775808, -5, 2147483647, (2147483646, 2147483646, -5)) t(2147483647, 9223372036854775808, -5, 9223372036854775808, (2147483647, 9223372036854775807, -5)) t(2147483647, 9223372036854775808, -3, 0, (-1, -1, -3)) t(2147483647, 9223372036854775808, -3, 1, (0, 0, -3)) t(2147483647, 9223372036854775808, -3, 5, (4, 4, -3)) t(2147483647, 9223372036854775808, -3, 10, (9, 9, -3)) t(2147483647, 9223372036854775808, -3, 100, (99, 99, -3)) t(2147483647, 9223372036854775808, -3, 2147483647, (2147483646, 2147483646, 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9223372036854775808, (9223372036854775807, -1, -5)) t(9223372036854775808, None, -3, 0, (-1, -1, -3)) t(9223372036854775808, None, -3, 1, (0, -1, -3)) t(9223372036854775808, None, -3, 5, (4, -1, -3)) t(9223372036854775808, None, -3, 10, (9, -1, -3)) t(9223372036854775808, None, -3, 100, (99, -1, -3)) t(9223372036854775808, None, -3, 2147483647, (2147483646, -1, -3)) t(9223372036854775808, None, -3, 9223372036854775808, (9223372036854775807, -1, -3)) t(9223372036854775808, None, -1, 0, (-1, -1, -1)) t(9223372036854775808, None, -1, 1, (0, -1, -1)) t(9223372036854775808, None, -1, 5, (4, -1, -1)) t(9223372036854775808, None, -1, 10, (9, -1, -1)) t(9223372036854775808, None, -1, 100, (99, -1, -1)) t(9223372036854775808, None, -1, 2147483647, (2147483646, -1, -1)) t(9223372036854775808, None, -1, 9223372036854775808, (9223372036854775807, -1, -1)) t(9223372036854775808, None, 1, 0, (0, 0, 1)) t(9223372036854775808, None, 1, 1, (1, 1, 1)) t(9223372036854775808, None, 1, 5, (5, 5, 1)) 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2147483647, -1, 5, (4, 4, -1)) t(9223372036854775808, 2147483647, -1, 10, (9, 9, -1)) t(9223372036854775808, 2147483647, -1, 100, (99, 99, -1)) t(9223372036854775808, 2147483647, -1, 2147483647, (2147483646, 2147483646, -1)) t(9223372036854775808, 2147483647, -1, 9223372036854775808, (9223372036854775807, 2147483647, -1)) t(9223372036854775808, 2147483647, 1, 0, (0, 0, 1)) t(9223372036854775808, 2147483647, 1, 1, (1, 1, 1)) t(9223372036854775808, 2147483647, 1, 5, (5, 5, 1)) t(9223372036854775808, 2147483647, 1, 10, (10, 10, 1)) t(9223372036854775808, 2147483647, 1, 100, (100, 100, 1)) t(9223372036854775808, 2147483647, 1, 2147483647, (2147483647, 2147483647, 1)) t(9223372036854775808, 2147483647, 1, 9223372036854775808, (9223372036854775808, 2147483647, 1)) t(9223372036854775808, 2147483647, 5, 0, (0, 0, 5)) t(9223372036854775808, 2147483647, 5, 1, (1, 1, 5)) t(9223372036854775808, 2147483647, 5, 5, (5, 5, 5)) t(9223372036854775808, 2147483647, 5, 10, (10, 10, 5)) t(9223372036854775808, 2147483647, 5, 100, (100, 100, 5)) t(9223372036854775808, 2147483647, 5, 2147483647, (2147483647, 2147483647, 5)) t(9223372036854775808, 2147483647, 5, 9223372036854775808, (9223372036854775808, 2147483647, 5)) t(9223372036854775808, 2147483647, 20, 0, (0, 0, 20)) t(9223372036854775808, 2147483647, 20, 1, (1, 1, 20)) t(9223372036854775808, 2147483647, 20, 5, (5, 5, 20)) t(9223372036854775808, 2147483647, 20, 10, (10, 10, 20)) t(9223372036854775808, 2147483647, 20, 100, (100, 100, 20)) t(9223372036854775808, 2147483647, 20, 2147483647, (2147483647, 2147483647, 20)) t(9223372036854775808, 2147483647, 20, 9223372036854775808, (9223372036854775808, 2147483647, 20)) t(9223372036854775808, 2147483647, 2147483647, 0, (0, 0, 2147483647)) t(9223372036854775808, 2147483647, 2147483647, 1, (1, 1, 2147483647)) t(9223372036854775808, 2147483647, 2147483647, 5, (5, 5, 2147483647)) t(9223372036854775808, 2147483647, 2147483647, 10, (10, 10, 2147483647)) t(9223372036854775808, 2147483647, 2147483647, 100, (100, 100, 2147483647)) t(9223372036854775808, 2147483647, 2147483647, 2147483647, (2147483647, 2147483647, 2147483647)) t(9223372036854775808, 2147483647, 2147483647, 9223372036854775808, (9223372036854775808, 2147483647, 2147483647)) t(9223372036854775808, 2147483647, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(9223372036854775808, 2147483647, 9223372036854775808, 1, (1, 1, 9223372036854775808)) t(9223372036854775808, 2147483647, 9223372036854775808, 5, (5, 5, 9223372036854775808)) t(9223372036854775808, 2147483647, 9223372036854775808, 10, (10, 10, 9223372036854775808)) t(9223372036854775808, 2147483647, 9223372036854775808, 100, (100, 100, 9223372036854775808)) t(9223372036854775808, 2147483647, 9223372036854775808, 2147483647, (2147483647, 2147483647, 9223372036854775808)) t(9223372036854775808, 2147483647, 9223372036854775808, 9223372036854775808, (9223372036854775808, 2147483647, 9223372036854775808)) t(9223372036854775808, 9223372036854775808, None, 0, (0, 0, 1)) t(9223372036854775808, 9223372036854775808, None, 1, (1, 1, 1)) t(9223372036854775808, 9223372036854775808, None, 5, (5, 5, 1)) t(9223372036854775808, 9223372036854775808, None, 10, (10, 10, 1)) t(9223372036854775808, 9223372036854775808, None, 100, (100, 100, 1)) t(9223372036854775808, 9223372036854775808, None, 2147483647, (2147483647, 2147483647, 1)) t(9223372036854775808, 9223372036854775808, None, 9223372036854775808, (9223372036854775808, 9223372036854775808, 1)) t(9223372036854775808, 9223372036854775808, -5, 0, (-1, -1, -5)) t(9223372036854775808, 9223372036854775808, -5, 1, (0, 0, -5)) t(9223372036854775808, 9223372036854775808, -5, 5, (4, 4, -5)) t(9223372036854775808, 9223372036854775808, -5, 10, (9, 9, -5)) t(9223372036854775808, 9223372036854775808, -5, 100, (99, 99, -5)) t(9223372036854775808, 9223372036854775808, -5, 2147483647, (2147483646, 2147483646, -5)) t(9223372036854775808, 9223372036854775808, -5, 9223372036854775808, (9223372036854775807, 9223372036854775807, -5)) t(9223372036854775808, 9223372036854775808, -3, 0, (-1, -1, -3)) t(9223372036854775808, 9223372036854775808, -3, 1, (0, 0, -3)) t(9223372036854775808, 9223372036854775808, -3, 5, (4, 4, -3)) t(9223372036854775808, 9223372036854775808, -3, 10, (9, 9, -3)) t(9223372036854775808, 9223372036854775808, -3, 100, (99, 99, -3)) t(9223372036854775808, 9223372036854775808, -3, 2147483647, (2147483646, 2147483646, -3)) t(9223372036854775808, 9223372036854775808, -3, 9223372036854775808, (9223372036854775807, 9223372036854775807, -3)) t(9223372036854775808, 9223372036854775808, -1, 0, (-1, -1, -1)) t(9223372036854775808, 9223372036854775808, -1, 1, (0, 0, -1)) t(9223372036854775808, 9223372036854775808, -1, 5, (4, 4, -1)) t(9223372036854775808, 9223372036854775808, -1, 10, (9, 9, -1)) t(9223372036854775808, 9223372036854775808, -1, 100, (99, 99, -1)) t(9223372036854775808, 9223372036854775808, -1, 2147483647, (2147483646, 2147483646, -1)) t(9223372036854775808, 9223372036854775808, -1, 9223372036854775808, (9223372036854775807, 9223372036854775807, -1)) t(9223372036854775808, 9223372036854775808, 1, 0, (0, 0, 1)) t(9223372036854775808, 9223372036854775808, 1, 1, (1, 1, 1)) t(9223372036854775808, 9223372036854775808, 1, 5, (5, 5, 1)) t(9223372036854775808, 9223372036854775808, 1, 10, (10, 10, 1)) t(9223372036854775808, 9223372036854775808, 1, 100, (100, 100, 1)) t(9223372036854775808, 9223372036854775808, 1, 2147483647, (2147483647, 2147483647, 1)) t(9223372036854775808, 9223372036854775808, 1, 9223372036854775808, (9223372036854775808, 9223372036854775808, 1)) t(9223372036854775808, 9223372036854775808, 5, 0, (0, 0, 5)) t(9223372036854775808, 9223372036854775808, 5, 1, (1, 1, 5)) t(9223372036854775808, 9223372036854775808, 5, 5, (5, 5, 5)) t(9223372036854775808, 9223372036854775808, 5, 10, (10, 10, 5)) t(9223372036854775808, 9223372036854775808, 5, 100, (100, 100, 5)) t(9223372036854775808, 9223372036854775808, 5, 2147483647, (2147483647, 2147483647, 5)) t(9223372036854775808, 9223372036854775808, 5, 9223372036854775808, (9223372036854775808, 9223372036854775808, 5)) t(9223372036854775808, 9223372036854775808, 20, 0, (0, 0, 20)) t(9223372036854775808, 9223372036854775808, 20, 1, (1, 1, 20)) t(9223372036854775808, 9223372036854775808, 20, 5, (5, 5, 20)) t(9223372036854775808, 9223372036854775808, 20, 10, (10, 10, 20)) t(9223372036854775808, 9223372036854775808, 20, 100, (100, 100, 20)) t(9223372036854775808, 9223372036854775808, 20, 2147483647, (2147483647, 2147483647, 20)) t(9223372036854775808, 9223372036854775808, 20, 9223372036854775808, (9223372036854775808, 9223372036854775808, 20)) t(9223372036854775808, 9223372036854775808, 2147483647, 0, (0, 0, 2147483647)) t(9223372036854775808, 9223372036854775808, 2147483647, 1, (1, 1, 2147483647)) t(9223372036854775808, 9223372036854775808, 2147483647, 5, (5, 5, 2147483647)) t(9223372036854775808, 9223372036854775808, 2147483647, 10, (10, 10, 2147483647)) t(9223372036854775808, 9223372036854775808, 2147483647, 100, (100, 100, 2147483647)) t(9223372036854775808, 9223372036854775808, 2147483647, 2147483647, (2147483647, 2147483647, 2147483647)) t(9223372036854775808, 9223372036854775808, 2147483647, 9223372036854775808, (9223372036854775808, 9223372036854775808, 2147483647)) t(9223372036854775808, 9223372036854775808, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(9223372036854775808, 9223372036854775808, 9223372036854775808, 1, (1, 1, 9223372036854775808)) t(9223372036854775808, 9223372036854775808, 9223372036854775808, 5, (5, 5, 9223372036854775808)) t(9223372036854775808, 9223372036854775808, 9223372036854775808, 10, (10, 10, 9223372036854775808)) t(9223372036854775808, 9223372036854775808, 9223372036854775808, 100, (100, 100, 9223372036854775808)) t(9223372036854775808, 9223372036854775808, 9223372036854775808, 2147483647, (2147483647, 2147483647, 9223372036854775808)) t(9223372036854775808, 9223372036854775808, 9223372036854775808, 9223372036854775808, (9223372036854775808, 9223372036854775808, 9223372036854775808))
def test_indices(self): def t(i, j, k, l, r): rr = slice(i, j, k).indices(l) self.assertEqual(rr, r, 'slice({i}, {j}, {k}).indices({l}) != {r}: {rr}'.format(i=i, j=j, k=k, l=l, r=r, rr=rr)) t(None, None, None, 0, (0, 0, 1)) t(None, None, None, 1, (0, 1, 1)) t(None, None, None, 5, (0, 5, 1)) t(None, None, None, 10, (0, 10, 1)) t(None, None, None, 100, (0, 100, 1)) t(None, None, None, 2147483647, (0, 2147483647, 1)) t(None, None, None, 9223372036854775808, (0, 9223372036854775808, 1)) t(None, None, -5, 0, (-1, -1, -5)) t(None, None, -5, 1, (0, -1, -5)) t(None, None, -5, 5, (4, -1, -5)) t(None, None, -5, 10, (9, -1, -5)) t(None, None, -5, 100, (99, -1, -5)) t(None, None, -5, 2147483647, (2147483646, -1, -5)) t(None, None, -5, 9223372036854775808, (9223372036854775807, -1, -5)) t(None, None, -3, 0, (-1, -1, -3)) t(None, None, -3, 1, (0, -1, -3)) t(None, None, -3, 5, (4, -1, -3)) t(None, None, -3, 10, (9, -1, -3)) t(None, None, -3, 100, (99, -1, -3)) t(None, None, -3, 2147483647, (2147483646, -1, -3)) t(None, None, -3, 9223372036854775808, (9223372036854775807, -1, -3)) t(None, None, -1, 0, (-1, -1, -1)) t(None, None, -1, 1, (0, -1, -1)) t(None, None, -1, 5, (4, -1, -1)) t(None, None, -1, 10, (9, -1, -1)) t(None, None, -1, 100, (99, -1, -1)) t(None, None, -1, 2147483647, (2147483646, -1, -1)) t(None, None, -1, 9223372036854775808, (9223372036854775807, -1, -1)) t(None, None, 1, 0, (0, 0, 1)) t(None, None, 1, 1, (0, 1, 1)) t(None, None, 1, 5, (0, 5, 1)) t(None, None, 1, 10, (0, 10, 1)) t(None, None, 1, 100, (0, 100, 1)) t(None, None, 1, 2147483647, (0, 2147483647, 1)) t(None, None, 1, 9223372036854775808, (0, 9223372036854775808, 1)) t(None, None, 5, 0, (0, 0, 5)) t(None, None, 5, 1, (0, 1, 5)) t(None, None, 5, 5, (0, 5, 5)) t(None, None, 5, 10, (0, 10, 5)) t(None, None, 5, 100, (0, 100, 5)) t(None, None, 5, 2147483647, (0, 2147483647, 5)) t(None, None, 5, 9223372036854775808, (0, 9223372036854775808, 5)) t(None, None, 20, 0, (0, 0, 20)) t(None, None, 20, 1, (0, 1, 20)) t(None, None, 20, 5, (0, 5, 20)) t(None, None, 20, 10, (0, 10, 20)) t(None, None, 20, 100, (0, 100, 20)) t(None, None, 20, 2147483647, (0, 2147483647, 20)) t(None, None, 20, 9223372036854775808, (0, 9223372036854775808, 20)) t(None, None, 2147483647, 0, (0, 0, 2147483647)) t(None, None, 2147483647, 1, (0, 1, 2147483647)) t(None, None, 2147483647, 5, (0, 5, 2147483647)) t(None, None, 2147483647, 10, (0, 10, 2147483647)) t(None, None, 2147483647, 100, (0, 100, 2147483647)) t(None, None, 2147483647, 2147483647, (0, 2147483647, 2147483647)) t(None, None, 2147483647, 9223372036854775808, (0, 9223372036854775808, 2147483647)) t(None, None, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(None, None, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(None, None, 9223372036854775808, 5, (0, 5, 9223372036854775808)) t(None, None, 9223372036854775808, 10, (0, 10, 9223372036854775808)) t(None, None, 9223372036854775808, 100, (0, 100, 9223372036854775808)) t(None, None, 9223372036854775808, 2147483647, (0, 2147483647, 9223372036854775808)) t(None, None, 9223372036854775808, 9223372036854775808, (0, 9223372036854775808, 9223372036854775808)) t(None, -7, None, 0, (0, 0, 1)) t(None, -7, None, 1, (0, 0, 1)) t(None, -7, None, 5, (0, 0, 1)) t(None, -7, None, 10, (0, 3, 1)) t(None, -7, None, 100, (0, 93, 1)) t(None, -7, None, 2147483647, (0, 2147483640, 1)) t(None, -7, None, 9223372036854775808, (0, 9223372036854775801, 1)) t(None, -7, -5, 0, (-1, -1, -5)) t(None, -7, -5, 1, (0, -1, -5)) t(None, -7, -5, 5, (4, -1, -5)) t(None, -7, -5, 10, (9, 3, -5)) t(None, -7, -5, 100, (99, 93, -5)) t(None, -7, -5, 2147483647, (2147483646, 2147483640, -5)) t(None, -7, -5, 9223372036854775808, (9223372036854775807, 9223372036854775801, -5)) t(None, -7, -3, 0, (-1, -1, -3)) t(None, -7, -3, 1, (0, -1, -3)) t(None, -7, -3, 5, (4, -1, -3)) t(None, -7, -3, 10, (9, 3, -3)) t(None, -7, -3, 100, (99, 93, -3)) t(None, -7, -3, 2147483647, (2147483646, 2147483640, -3)) t(None, -7, -3, 9223372036854775808, (9223372036854775807, 9223372036854775801, -3)) t(None, -7, -1, 0, (-1, -1, -1)) t(None, -7, -1, 1, (0, -1, -1)) t(None, -7, -1, 5, (4, -1, -1)) t(None, -7, -1, 10, (9, 3, -1)) t(None, -7, -1, 100, (99, 93, -1)) t(None, -7, -1, 2147483647, (2147483646, 2147483640, -1)) t(None, -7, -1, 9223372036854775808, (9223372036854775807, 9223372036854775801, -1)) t(None, -7, 1, 0, (0, 0, 1)) t(None, -7, 1, 1, (0, 0, 1)) t(None, -7, 1, 5, (0, 0, 1)) t(None, -7, 1, 10, (0, 3, 1)) t(None, -7, 1, 100, (0, 93, 1)) t(None, -7, 1, 2147483647, (0, 2147483640, 1)) t(None, -7, 1, 9223372036854775808, (0, 9223372036854775801, 1)) t(None, -7, 5, 0, (0, 0, 5)) t(None, -7, 5, 1, (0, 0, 5)) t(None, -7, 5, 5, (0, 0, 5)) t(None, -7, 5, 10, (0, 3, 5)) t(None, -7, 5, 100, (0, 93, 5)) t(None, -7, 5, 2147483647, (0, 2147483640, 5)) t(None, -7, 5, 9223372036854775808, (0, 9223372036854775801, 5)) t(None, -7, 20, 0, (0, 0, 20)) t(None, -7, 20, 1, (0, 0, 20)) t(None, -7, 20, 5, (0, 0, 20)) t(None, -7, 20, 10, (0, 3, 20)) t(None, -7, 20, 100, (0, 93, 20)) t(None, -7, 20, 2147483647, (0, 2147483640, 20)) t(None, -7, 20, 9223372036854775808, (0, 9223372036854775801, 20)) t(None, -7, 2147483647, 0, (0, 0, 2147483647)) t(None, -7, 2147483647, 1, (0, 0, 2147483647)) t(None, -7, 2147483647, 5, (0, 0, 2147483647)) t(None, -7, 2147483647, 10, (0, 3, 2147483647)) t(None, -7, 2147483647, 100, (0, 93, 2147483647)) t(None, -7, 2147483647, 2147483647, (0, 2147483640, 2147483647)) t(None, -7, 2147483647, 9223372036854775808, (0, 9223372036854775801, 2147483647)) t(None, -7, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(None, -7, 9223372036854775808, 1, (0, 0, 9223372036854775808)) t(None, -7, 9223372036854775808, 5, (0, 0, 9223372036854775808)) t(None, -7, 9223372036854775808, 10, (0, 3, 9223372036854775808)) t(None, -7, 9223372036854775808, 100, (0, 93, 9223372036854775808)) t(None, -7, 9223372036854775808, 2147483647, (0, 2147483640, 9223372036854775808)) t(None, -7, 9223372036854775808, 9223372036854775808, (0, 9223372036854775801, 9223372036854775808)) t(None, -2, None, 0, (0, 0, 1)) t(None, -2, None, 1, (0, 0, 1)) t(None, -2, None, 5, (0, 3, 1)) t(None, -2, None, 10, (0, 8, 1)) t(None, -2, None, 100, (0, 98, 1)) t(None, -2, None, 2147483647, (0, 2147483645, 1)) t(None, -2, None, 9223372036854775808, (0, 9223372036854775806, 1)) t(None, -2, -5, 0, (-1, -1, -5)) t(None, -2, -5, 1, (0, -1, -5)) t(None, -2, -5, 5, (4, 3, -5)) t(None, -2, -5, 10, (9, 8, -5)) t(None, -2, -5, 100, (99, 98, -5)) t(None, -2, -5, 2147483647, (2147483646, 2147483645, -5)) t(None, -2, -5, 9223372036854775808, (9223372036854775807, 9223372036854775806, -5)) t(None, -2, -3, 0, (-1, -1, -3)) t(None, -2, -3, 1, (0, -1, -3)) t(None, -2, -3, 5, (4, 3, -3)) t(None, -2, -3, 10, (9, 8, -3)) t(None, -2, -3, 100, (99, 98, -3)) t(None, -2, -3, 2147483647, (2147483646, 2147483645, -3)) t(None, -2, -3, 9223372036854775808, (9223372036854775807, 9223372036854775806, -3)) t(None, -2, -1, 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t(-7, -7, 1, 1, (0, 0, 1)) t(-7, -7, 1, 5, (0, 0, 1)) t(-7, -7, 1, 10, (3, 3, 1)) t(-7, -7, 1, 100, (93, 93, 1)) t(-7, -7, 1, 2147483647, (2147483640, 2147483640, 1)) t(-7, -7, 1, 9223372036854775808, (9223372036854775801, 9223372036854775801, 1)) t(-7, -7, 5, 0, (0, 0, 5)) t(-7, -7, 5, 1, (0, 0, 5)) t(-7, -7, 5, 5, (0, 0, 5)) t(-7, -7, 5, 10, (3, 3, 5)) t(-7, -7, 5, 100, (93, 93, 5)) t(-7, -7, 5, 2147483647, (2147483640, 2147483640, 5)) t(-7, -7, 5, 9223372036854775808, (9223372036854775801, 9223372036854775801, 5)) t(-7, -7, 20, 0, (0, 0, 20)) t(-7, -7, 20, 1, (0, 0, 20)) t(-7, -7, 20, 5, (0, 0, 20)) t(-7, -7, 20, 10, (3, 3, 20)) t(-7, -7, 20, 100, (93, 93, 20)) t(-7, -7, 20, 2147483647, (2147483640, 2147483640, 20)) t(-7, -7, 20, 9223372036854775808, (9223372036854775801, 9223372036854775801, 20)) t(-7, -7, 2147483647, 0, (0, 0, 2147483647)) t(-7, -7, 2147483647, 1, (0, 0, 2147483647)) t(-7, -7, 2147483647, 5, (0, 0, 2147483647)) t(-7, -7, 2147483647, 10, (3, 3, 2147483647)) t(-7, -7, 2147483647, 100, (93, 93, 2147483647)) t(-7, -7, 2147483647, 2147483647, (2147483640, 2147483640, 2147483647)) t(-7, -7, 2147483647, 9223372036854775808, (9223372036854775801, 9223372036854775801, 2147483647)) t(-7, -7, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-7, -7, 9223372036854775808, 1, (0, 0, 9223372036854775808)) t(-7, -7, 9223372036854775808, 5, (0, 0, 9223372036854775808)) t(-7, -7, 9223372036854775808, 10, (3, 3, 9223372036854775808)) t(-7, -7, 9223372036854775808, 100, (93, 93, 9223372036854775808)) t(-7, -7, 9223372036854775808, 2147483647, (2147483640, 2147483640, 9223372036854775808)) t(-7, -7, 9223372036854775808, 9223372036854775808, (9223372036854775801, 9223372036854775801, 9223372036854775808)) t(-7, -2, None, 0, (0, 0, 1)) t(-7, -2, None, 1, (0, 0, 1)) t(-7, -2, None, 5, (0, 3, 1)) t(-7, -2, None, 10, (3, 8, 1)) t(-7, -2, None, 100, (93, 98, 1)) t(-7, -2, None, 2147483647, (2147483640, 2147483645, 1)) t(-7, -2, None, 9223372036854775808, (9223372036854775801, 9223372036854775806, 1)) t(-7, -2, -5, 0, (-1, -1, -5)) t(-7, -2, -5, 1, (-1, -1, -5)) t(-7, -2, -5, 5, (-1, 3, -5)) t(-7, -2, -5, 10, (3, 8, -5)) t(-7, -2, -5, 100, (93, 98, -5)) t(-7, -2, -5, 2147483647, (2147483640, 2147483645, -5)) t(-7, -2, -5, 9223372036854775808, (9223372036854775801, 9223372036854775806, -5)) t(-7, -2, -3, 0, (-1, -1, -3)) t(-7, -2, -3, 1, (-1, -1, -3)) t(-7, -2, -3, 5, (-1, 3, -3)) t(-7, -2, -3, 10, (3, 8, -3)) t(-7, -2, -3, 100, (93, 98, -3)) t(-7, -2, -3, 2147483647, (2147483640, 2147483645, -3)) t(-7, -2, -3, 9223372036854775808, (9223372036854775801, 9223372036854775806, -3)) t(-7, -2, -1, 0, (-1, -1, -1)) t(-7, -2, -1, 1, (-1, -1, -1)) t(-7, -2, -1, 5, (-1, 3, -1)) t(-7, -2, -1, 10, (3, 8, -1)) t(-7, -2, -1, 100, (93, 98, -1)) t(-7, -2, -1, 2147483647, (2147483640, 2147483645, -1)) t(-7, -2, -1, 9223372036854775808, (9223372036854775801, 9223372036854775806, -1)) t(-7, -2, 1, 0, (0, 0, 1)) t(-7, -2, 1, 1, (0, 0, 1)) t(-7, -2, 1, 5, (0, 3, 1)) t(-7, -2, 1, 10, (3, 8, 1)) t(-7, -2, 1, 100, (93, 98, 1)) t(-7, -2, 1, 2147483647, (2147483640, 2147483645, 1)) t(-7, -2, 1, 9223372036854775808, (9223372036854775801, 9223372036854775806, 1)) t(-7, -2, 5, 0, (0, 0, 5)) t(-7, -2, 5, 1, (0, 0, 5)) t(-7, -2, 5, 5, (0, 3, 5)) t(-7, -2, 5, 10, (3, 8, 5)) t(-7, -2, 5, 100, (93, 98, 5)) t(-7, -2, 5, 2147483647, (2147483640, 2147483645, 5)) t(-7, -2, 5, 9223372036854775808, (9223372036854775801, 9223372036854775806, 5)) t(-7, -2, 20, 0, (0, 0, 20)) t(-7, -2, 20, 1, (0, 0, 20)) t(-7, -2, 20, 5, (0, 3, 20)) t(-7, -2, 20, 10, (3, 8, 20)) t(-7, -2, 20, 100, (93, 98, 20)) t(-7, -2, 20, 2147483647, (2147483640, 2147483645, 20)) t(-7, -2, 20, 9223372036854775808, (9223372036854775801, 9223372036854775806, 20)) t(-7, -2, 2147483647, 0, (0, 0, 2147483647)) t(-7, -2, 2147483647, 1, (0, 0, 2147483647)) t(-7, -2, 2147483647, 5, (0, 3, 2147483647)) t(-7, -2, 2147483647, 10, (3, 8, 2147483647)) t(-7, -2, 2147483647, 100, (93, 98, 2147483647)) t(-7, -2, 2147483647, 2147483647, (2147483640, 2147483645, 2147483647)) t(-7, -2, 2147483647, 9223372036854775808, (9223372036854775801, 9223372036854775806, 2147483647)) t(-7, -2, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-7, -2, 9223372036854775808, 1, (0, 0, 9223372036854775808)) t(-7, -2, 9223372036854775808, 5, (0, 3, 9223372036854775808)) t(-7, -2, 9223372036854775808, 10, (3, 8, 9223372036854775808)) t(-7, -2, 9223372036854775808, 100, (93, 98, 9223372036854775808)) t(-7, -2, 9223372036854775808, 2147483647, (2147483640, 2147483645, 9223372036854775808)) t(-7, -2, 9223372036854775808, 9223372036854775808, (9223372036854775801, 9223372036854775806, 9223372036854775808)) t(-7, 0, None, 0, (0, 0, 1)) t(-7, 0, None, 1, (0, 0, 1)) t(-7, 0, None, 5, (0, 0, 1)) t(-7, 0, None, 10, (3, 0, 1)) t(-7, 0, None, 100, (93, 0, 1)) t(-7, 0, None, 2147483647, (2147483640, 0, 1)) t(-7, 0, None, 9223372036854775808, (9223372036854775801, 0, 1)) t(-7, 0, -5, 0, (-1, -1, -5)) t(-7, 0, -5, 1, (-1, 0, -5)) t(-7, 0, -5, 5, (-1, 0, -5)) t(-7, 0, -5, 10, (3, 0, -5)) t(-7, 0, -5, 100, (93, 0, -5)) t(-7, 0, -5, 2147483647, (2147483640, 0, -5)) t(-7, 0, -5, 9223372036854775808, (9223372036854775801, 0, -5)) t(-7, 0, -3, 0, (-1, -1, -3)) t(-7, 0, -3, 1, (-1, 0, -3)) t(-7, 0, -3, 5, (-1, 0, -3)) t(-7, 0, -3, 10, (3, 0, -3)) t(-7, 0, -3, 100, (93, 0, -3)) t(-7, 0, -3, 2147483647, (2147483640, 0, -3)) t(-7, 0, -3, 9223372036854775808, (9223372036854775801, 0, -3)) t(-7, 0, -1, 0, (-1, -1, -1)) t(-7, 0, -1, 1, (-1, 0, -1)) t(-7, 0, -1, 5, (-1, 0, -1)) t(-7, 0, -1, 10, (3, 0, -1)) t(-7, 0, -1, 100, (93, 0, -1)) t(-7, 0, -1, 2147483647, (2147483640, 0, -1)) t(-7, 0, -1, 9223372036854775808, (9223372036854775801, 0, -1)) t(-7, 0, 1, 0, (0, 0, 1)) t(-7, 0, 1, 1, (0, 0, 1)) t(-7, 0, 1, 5, (0, 0, 1)) t(-7, 0, 1, 10, (3, 0, 1)) t(-7, 0, 1, 100, (93, 0, 1)) t(-7, 0, 1, 2147483647, (2147483640, 0, 1)) t(-7, 0, 1, 9223372036854775808, (9223372036854775801, 0, 1)) t(-7, 0, 5, 0, (0, 0, 5)) t(-7, 0, 5, 1, (0, 0, 5)) t(-7, 0, 5, 5, (0, 0, 5)) t(-7, 0, 5, 10, (3, 0, 5)) t(-7, 0, 5, 100, (93, 0, 5)) t(-7, 0, 5, 2147483647, (2147483640, 0, 5)) t(-7, 0, 5, 9223372036854775808, (9223372036854775801, 0, 5)) t(-7, 0, 20, 0, (0, 0, 20)) t(-7, 0, 20, 1, (0, 0, 20)) t(-7, 0, 20, 5, (0, 0, 20)) t(-7, 0, 20, 10, (3, 0, 20)) t(-7, 0, 20, 100, (93, 0, 20)) t(-7, 0, 20, 2147483647, (2147483640, 0, 20)) t(-7, 0, 20, 9223372036854775808, (9223372036854775801, 0, 20)) t(-7, 0, 2147483647, 0, (0, 0, 2147483647)) t(-7, 0, 2147483647, 1, (0, 0, 2147483647)) t(-7, 0, 2147483647, 5, (0, 0, 2147483647)) t(-7, 0, 2147483647, 10, (3, 0, 2147483647)) t(-7, 0, 2147483647, 100, (93, 0, 2147483647)) t(-7, 0, 2147483647, 2147483647, (2147483640, 0, 2147483647)) t(-7, 0, 2147483647, 9223372036854775808, (9223372036854775801, 0, 2147483647)) t(-7, 0, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-7, 0, 9223372036854775808, 1, (0, 0, 9223372036854775808)) t(-7, 0, 9223372036854775808, 5, (0, 0, 9223372036854775808)) t(-7, 0, 9223372036854775808, 10, (3, 0, 9223372036854775808)) t(-7, 0, 9223372036854775808, 100, (93, 0, 9223372036854775808)) t(-7, 0, 9223372036854775808, 2147483647, (2147483640, 0, 9223372036854775808)) t(-7, 0, 9223372036854775808, 9223372036854775808, (9223372036854775801, 0, 9223372036854775808)) t(-7, 1, None, 0, (0, 0, 1)) t(-7, 1, None, 1, (0, 1, 1)) t(-7, 1, None, 5, (0, 1, 1)) t(-7, 1, None, 10, (3, 1, 1)) t(-7, 1, None, 100, (93, 1, 1)) t(-7, 1, None, 2147483647, (2147483640, 1, 1)) t(-7, 1, None, 9223372036854775808, (9223372036854775801, 1, 1)) t(-7, 1, -5, 0, (-1, -1, -5)) t(-7, 1, -5, 1, (-1, 0, -5)) t(-7, 1, -5, 5, (-1, 1, -5)) t(-7, 1, -5, 10, (3, 1, -5)) t(-7, 1, -5, 100, (93, 1, -5)) t(-7, 1, -5, 2147483647, (2147483640, 1, -5)) t(-7, 1, -5, 9223372036854775808, (9223372036854775801, 1, -5)) t(-7, 1, -3, 0, (-1, -1, -3)) t(-7, 1, -3, 1, (-1, 0, -3)) t(-7, 1, -3, 5, (-1, 1, -3)) t(-7, 1, -3, 10, (3, 1, -3)) t(-7, 1, -3, 100, (93, 1, -3)) t(-7, 1, -3, 2147483647, (2147483640, 1, -3)) t(-7, 1, -3, 9223372036854775808, (9223372036854775801, 1, -3)) t(-7, 1, -1, 0, (-1, -1, -1)) t(-7, 1, -1, 1, (-1, 0, -1)) t(-7, 1, -1, 5, (-1, 1, -1)) t(-7, 1, -1, 10, (3, 1, -1)) t(-7, 1, -1, 100, (93, 1, -1)) t(-7, 1, -1, 2147483647, (2147483640, 1, -1)) t(-7, 1, -1, 9223372036854775808, (9223372036854775801, 1, -1)) t(-7, 1, 1, 0, (0, 0, 1)) t(-7, 1, 1, 1, (0, 1, 1)) t(-7, 1, 1, 5, (0, 1, 1)) t(-7, 1, 1, 10, (3, 1, 1)) t(-7, 1, 1, 100, (93, 1, 1)) t(-7, 1, 1, 2147483647, (2147483640, 1, 1)) t(-7, 1, 1, 9223372036854775808, (9223372036854775801, 1, 1)) t(-7, 1, 5, 0, (0, 0, 5)) t(-7, 1, 5, 1, (0, 1, 5)) t(-7, 1, 5, 5, (0, 1, 5)) t(-7, 1, 5, 10, (3, 1, 5)) t(-7, 1, 5, 100, (93, 1, 5)) t(-7, 1, 5, 2147483647, (2147483640, 1, 5)) t(-7, 1, 5, 9223372036854775808, (9223372036854775801, 1, 5)) t(-7, 1, 20, 0, (0, 0, 20)) t(-7, 1, 20, 1, (0, 1, 20)) t(-7, 1, 20, 5, (0, 1, 20)) t(-7, 1, 20, 10, (3, 1, 20)) t(-7, 1, 20, 100, (93, 1, 20)) t(-7, 1, 20, 2147483647, (2147483640, 1, 20)) t(-7, 1, 20, 9223372036854775808, (9223372036854775801, 1, 20)) t(-7, 1, 2147483647, 0, (0, 0, 2147483647)) t(-7, 1, 2147483647, 1, (0, 1, 2147483647)) t(-7, 1, 2147483647, 5, (0, 1, 2147483647)) t(-7, 1, 2147483647, 10, (3, 1, 2147483647)) t(-7, 1, 2147483647, 100, (93, 1, 2147483647)) t(-7, 1, 2147483647, 2147483647, (2147483640, 1, 2147483647)) t(-7, 1, 2147483647, 9223372036854775808, (9223372036854775801, 1, 2147483647)) t(-7, 1, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-7, 1, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-7, 1, 9223372036854775808, 5, (0, 1, 9223372036854775808)) t(-7, 1, 9223372036854775808, 10, (3, 1, 9223372036854775808)) t(-7, 1, 9223372036854775808, 100, (93, 1, 9223372036854775808)) t(-7, 1, 9223372036854775808, 2147483647, (2147483640, 1, 9223372036854775808)) t(-7, 1, 9223372036854775808, 9223372036854775808, (9223372036854775801, 1, 9223372036854775808)) t(-7, 6, None, 0, (0, 0, 1)) t(-7, 6, None, 1, (0, 1, 1)) t(-7, 6, None, 5, (0, 5, 1)) t(-7, 6, None, 10, (3, 6, 1)) t(-7, 6, None, 100, (93, 6, 1)) t(-7, 6, None, 2147483647, (2147483640, 6, 1)) t(-7, 6, None, 9223372036854775808, (9223372036854775801, 6, 1)) t(-7, 6, -5, 0, (-1, -1, -5)) t(-7, 6, -5, 1, (-1, 0, -5)) t(-7, 6, -5, 5, (-1, 4, -5)) t(-7, 6, -5, 10, (3, 6, -5)) t(-7, 6, -5, 100, (93, 6, -5)) t(-7, 6, -5, 2147483647, (2147483640, 6, -5)) t(-7, 6, -5, 9223372036854775808, (9223372036854775801, 6, -5)) t(-7, 6, -3, 0, (-1, -1, -3)) t(-7, 6, -3, 1, (-1, 0, -3)) t(-7, 6, -3, 5, (-1, 4, -3)) t(-7, 6, -3, 10, (3, 6, -3)) t(-7, 6, -3, 100, (93, 6, -3)) t(-7, 6, -3, 2147483647, (2147483640, 6, -3)) t(-7, 6, -3, 9223372036854775808, (9223372036854775801, 6, -3)) t(-7, 6, -1, 0, (-1, -1, -1)) t(-7, 6, -1, 1, (-1, 0, -1)) t(-7, 6, -1, 5, (-1, 4, -1)) t(-7, 6, -1, 10, (3, 6, -1)) t(-7, 6, -1, 100, (93, 6, -1)) t(-7, 6, -1, 2147483647, (2147483640, 6, -1)) t(-7, 6, -1, 9223372036854775808, (9223372036854775801, 6, -1)) t(-7, 6, 1, 0, (0, 0, 1)) t(-7, 6, 1, 1, (0, 1, 1)) t(-7, 6, 1, 5, (0, 5, 1)) t(-7, 6, 1, 10, (3, 6, 1)) t(-7, 6, 1, 100, (93, 6, 1)) t(-7, 6, 1, 2147483647, (2147483640, 6, 1)) t(-7, 6, 1, 9223372036854775808, (9223372036854775801, 6, 1)) t(-7, 6, 5, 0, (0, 0, 5)) t(-7, 6, 5, 1, (0, 1, 5)) t(-7, 6, 5, 5, (0, 5, 5)) t(-7, 6, 5, 10, (3, 6, 5)) t(-7, 6, 5, 100, (93, 6, 5)) t(-7, 6, 5, 2147483647, (2147483640, 6, 5)) t(-7, 6, 5, 9223372036854775808, (9223372036854775801, 6, 5)) t(-7, 6, 20, 0, (0, 0, 20)) t(-7, 6, 20, 1, (0, 1, 20)) t(-7, 6, 20, 5, (0, 5, 20)) t(-7, 6, 20, 10, (3, 6, 20)) t(-7, 6, 20, 100, (93, 6, 20)) t(-7, 6, 20, 2147483647, (2147483640, 6, 20)) t(-7, 6, 20, 9223372036854775808, (9223372036854775801, 6, 20)) t(-7, 6, 2147483647, 0, (0, 0, 2147483647)) t(-7, 6, 2147483647, 1, (0, 1, 2147483647)) t(-7, 6, 2147483647, 5, (0, 5, 2147483647)) t(-7, 6, 2147483647, 10, (3, 6, 2147483647)) t(-7, 6, 2147483647, 100, (93, 6, 2147483647)) t(-7, 6, 2147483647, 2147483647, (2147483640, 6, 2147483647)) t(-7, 6, 2147483647, 9223372036854775808, (9223372036854775801, 6, 2147483647)) t(-7, 6, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-7, 6, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-7, 6, 9223372036854775808, 5, (0, 5, 9223372036854775808)) t(-7, 6, 9223372036854775808, 10, (3, 6, 9223372036854775808)) t(-7, 6, 9223372036854775808, 100, (93, 6, 9223372036854775808)) t(-7, 6, 9223372036854775808, 2147483647, (2147483640, 6, 9223372036854775808)) t(-7, 6, 9223372036854775808, 9223372036854775808, (9223372036854775801, 6, 9223372036854775808)) t(-7, 10, None, 0, (0, 0, 1)) t(-7, 10, None, 1, (0, 1, 1)) t(-7, 10, None, 5, (0, 5, 1)) t(-7, 10, None, 10, (3, 10, 1)) t(-7, 10, None, 100, (93, 10, 1)) t(-7, 10, None, 2147483647, (2147483640, 10, 1)) t(-7, 10, None, 9223372036854775808, (9223372036854775801, 10, 1)) t(-7, 10, -5, 0, (-1, -1, -5)) t(-7, 10, -5, 1, (-1, 0, -5)) t(-7, 10, -5, 5, (-1, 4, -5)) t(-7, 10, -5, 10, (3, 9, -5)) t(-7, 10, -5, 100, (93, 10, -5)) t(-7, 10, -5, 2147483647, (2147483640, 10, -5)) t(-7, 10, -5, 9223372036854775808, (9223372036854775801, 10, -5)) t(-7, 10, -3, 0, (-1, -1, -3)) t(-7, 10, -3, 1, (-1, 0, -3)) t(-7, 10, -3, 5, (-1, 4, -3)) t(-7, 10, -3, 10, (3, 9, -3)) t(-7, 10, -3, 100, (93, 10, -3)) t(-7, 10, -3, 2147483647, (2147483640, 10, -3)) t(-7, 10, -3, 9223372036854775808, (9223372036854775801, 10, -3)) t(-7, 10, -1, 0, (-1, -1, -1)) t(-7, 10, -1, 1, (-1, 0, -1)) t(-7, 10, -1, 5, (-1, 4, -1)) t(-7, 10, -1, 10, (3, 9, -1)) t(-7, 10, -1, 100, (93, 10, -1)) t(-7, 10, -1, 2147483647, (2147483640, 10, -1)) t(-7, 10, -1, 9223372036854775808, (9223372036854775801, 10, -1)) t(-7, 10, 1, 0, (0, 0, 1)) t(-7, 10, 1, 1, (0, 1, 1)) t(-7, 10, 1, 5, (0, 5, 1)) t(-7, 10, 1, 10, (3, 10, 1)) t(-7, 10, 1, 100, (93, 10, 1)) t(-7, 10, 1, 2147483647, (2147483640, 10, 1)) t(-7, 10, 1, 9223372036854775808, (9223372036854775801, 10, 1)) t(-7, 10, 5, 0, (0, 0, 5)) t(-7, 10, 5, 1, (0, 1, 5)) t(-7, 10, 5, 5, (0, 5, 5)) t(-7, 10, 5, 10, (3, 10, 5)) t(-7, 10, 5, 100, (93, 10, 5)) t(-7, 10, 5, 2147483647, (2147483640, 10, 5)) t(-7, 10, 5, 9223372036854775808, (9223372036854775801, 10, 5)) t(-7, 10, 20, 0, (0, 0, 20)) t(-7, 10, 20, 1, (0, 1, 20)) t(-7, 10, 20, 5, (0, 5, 20)) t(-7, 10, 20, 10, (3, 10, 20)) t(-7, 10, 20, 100, (93, 10, 20)) t(-7, 10, 20, 2147483647, (2147483640, 10, 20)) t(-7, 10, 20, 9223372036854775808, (9223372036854775801, 10, 20)) t(-7, 10, 2147483647, 0, (0, 0, 2147483647)) t(-7, 10, 2147483647, 1, (0, 1, 2147483647)) t(-7, 10, 2147483647, 5, (0, 5, 2147483647)) t(-7, 10, 2147483647, 10, (3, 10, 2147483647)) t(-7, 10, 2147483647, 100, (93, 10, 2147483647)) t(-7, 10, 2147483647, 2147483647, (2147483640, 10, 2147483647)) t(-7, 10, 2147483647, 9223372036854775808, (9223372036854775801, 10, 2147483647)) t(-7, 10, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-7, 10, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-7, 10, 9223372036854775808, 5, (0, 5, 9223372036854775808)) t(-7, 10, 9223372036854775808, 10, (3, 10, 9223372036854775808)) t(-7, 10, 9223372036854775808, 100, (93, 10, 9223372036854775808)) t(-7, 10, 9223372036854775808, 2147483647, (2147483640, 10, 9223372036854775808)) t(-7, 10, 9223372036854775808, 9223372036854775808, (9223372036854775801, 10, 9223372036854775808)) t(-7, 2147483647, None, 0, (0, 0, 1)) t(-7, 2147483647, None, 1, (0, 1, 1)) t(-7, 2147483647, None, 5, (0, 5, 1)) t(-7, 2147483647, None, 10, (3, 10, 1)) t(-7, 2147483647, None, 100, (93, 100, 1)) t(-7, 2147483647, None, 2147483647, (2147483640, 2147483647, 1)) t(-7, 2147483647, None, 9223372036854775808, (9223372036854775801, 2147483647, 1)) t(-7, 2147483647, -5, 0, (-1, -1, -5)) t(-7, 2147483647, -5, 1, (-1, 0, -5)) t(-7, 2147483647, -5, 5, (-1, 4, -5)) t(-7, 2147483647, -5, 10, (3, 9, -5)) t(-7, 2147483647, -5, 100, (93, 99, -5)) t(-7, 2147483647, -5, 2147483647, (2147483640, 2147483646, -5)) t(-7, 2147483647, -5, 9223372036854775808, (9223372036854775801, 2147483647, -5)) t(-7, 2147483647, -3, 0, (-1, -1, -3)) t(-7, 2147483647, -3, 1, (-1, 0, -3)) t(-7, 2147483647, -3, 5, (-1, 4, -3)) t(-7, 2147483647, -3, 10, (3, 9, -3)) t(-7, 2147483647, -3, 100, (93, 99, -3)) t(-7, 2147483647, -3, 2147483647, (2147483640, 2147483646, -3)) t(-7, 2147483647, -3, 9223372036854775808, (9223372036854775801, 2147483647, -3)) t(-7, 2147483647, -1, 0, (-1, -1, -1)) t(-7, 2147483647, -1, 1, (-1, 0, -1)) t(-7, 2147483647, -1, 5, (-1, 4, -1)) t(-7, 2147483647, -1, 10, (3, 9, -1)) t(-7, 2147483647, -1, 100, (93, 99, -1)) t(-7, 2147483647, -1, 2147483647, (2147483640, 2147483646, -1)) t(-7, 2147483647, -1, 9223372036854775808, (9223372036854775801, 2147483647, -1)) t(-7, 2147483647, 1, 0, (0, 0, 1)) t(-7, 2147483647, 1, 1, (0, 1, 1)) t(-7, 2147483647, 1, 5, (0, 5, 1)) t(-7, 2147483647, 1, 10, (3, 10, 1)) t(-7, 2147483647, 1, 100, (93, 100, 1)) t(-7, 2147483647, 1, 2147483647, (2147483640, 2147483647, 1)) t(-7, 2147483647, 1, 9223372036854775808, (9223372036854775801, 2147483647, 1)) t(-7, 2147483647, 5, 0, (0, 0, 5)) t(-7, 2147483647, 5, 1, (0, 1, 5)) t(-7, 2147483647, 5, 5, (0, 5, 5)) t(-7, 2147483647, 5, 10, (3, 10, 5)) t(-7, 2147483647, 5, 100, (93, 100, 5)) t(-7, 2147483647, 5, 2147483647, (2147483640, 2147483647, 5)) t(-7, 2147483647, 5, 9223372036854775808, (9223372036854775801, 2147483647, 5)) t(-7, 2147483647, 20, 0, (0, 0, 20)) t(-7, 2147483647, 20, 1, (0, 1, 20)) t(-7, 2147483647, 20, 5, (0, 5, 20)) t(-7, 2147483647, 20, 10, (3, 10, 20)) t(-7, 2147483647, 20, 100, (93, 100, 20)) t(-7, 2147483647, 20, 2147483647, (2147483640, 2147483647, 20)) t(-7, 2147483647, 20, 9223372036854775808, (9223372036854775801, 2147483647, 20)) t(-7, 2147483647, 2147483647, 0, (0, 0, 2147483647)) t(-7, 2147483647, 2147483647, 1, (0, 1, 2147483647)) t(-7, 2147483647, 2147483647, 5, (0, 5, 2147483647)) t(-7, 2147483647, 2147483647, 10, (3, 10, 2147483647)) t(-7, 2147483647, 2147483647, 100, (93, 100, 2147483647)) t(-7, 2147483647, 2147483647, 2147483647, (2147483640, 2147483647, 2147483647)) t(-7, 2147483647, 2147483647, 9223372036854775808, (9223372036854775801, 2147483647, 2147483647)) t(-7, 2147483647, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-7, 2147483647, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-7, 2147483647, 9223372036854775808, 5, (0, 5, 9223372036854775808)) t(-7, 2147483647, 9223372036854775808, 10, (3, 10, 9223372036854775808)) t(-7, 2147483647, 9223372036854775808, 100, (93, 100, 9223372036854775808)) t(-7, 2147483647, 9223372036854775808, 2147483647, (2147483640, 2147483647, 9223372036854775808)) t(-7, 2147483647, 9223372036854775808, 9223372036854775808, (9223372036854775801, 2147483647, 9223372036854775808)) t(-7, 9223372036854775808, None, 0, (0, 0, 1)) t(-7, 9223372036854775808, None, 1, (0, 1, 1)) t(-7, 9223372036854775808, None, 5, (0, 5, 1)) t(-7, 9223372036854775808, None, 10, (3, 10, 1)) t(-7, 9223372036854775808, None, 100, (93, 100, 1)) t(-7, 9223372036854775808, None, 2147483647, (2147483640, 2147483647, 1)) t(-7, 9223372036854775808, None, 9223372036854775808, (9223372036854775801, 9223372036854775808, 1)) t(-7, 9223372036854775808, -5, 0, (-1, -1, -5)) t(-7, 9223372036854775808, -5, 1, (-1, 0, -5)) t(-7, 9223372036854775808, -5, 5, (-1, 4, -5)) t(-7, 9223372036854775808, -5, 10, (3, 9, -5)) t(-7, 9223372036854775808, -5, 100, (93, 99, -5)) t(-7, 9223372036854775808, -5, 2147483647, (2147483640, 2147483646, -5)) t(-7, 9223372036854775808, -5, 9223372036854775808, (9223372036854775801, 9223372036854775807, -5)) t(-7, 9223372036854775808, -3, 0, (-1, -1, -3)) t(-7, 9223372036854775808, -3, 1, (-1, 0, -3)) t(-7, 9223372036854775808, -3, 5, (-1, 4, -3)) t(-7, 9223372036854775808, -3, 10, (3, 9, -3)) t(-7, 9223372036854775808, -3, 100, (93, 99, -3)) t(-7, 9223372036854775808, -3, 2147483647, (2147483640, 2147483646, -3)) t(-7, 9223372036854775808, -3, 9223372036854775808, (9223372036854775801, 9223372036854775807, -3)) t(-7, 9223372036854775808, -1, 0, (-1, -1, -1)) t(-7, 9223372036854775808, -1, 1, (-1, 0, -1)) t(-7, 9223372036854775808, -1, 5, (-1, 4, -1)) t(-7, 9223372036854775808, -1, 10, (3, 9, -1)) t(-7, 9223372036854775808, -1, 100, (93, 99, -1)) t(-7, 9223372036854775808, -1, 2147483647, (2147483640, 2147483646, -1)) t(-7, 9223372036854775808, -1, 9223372036854775808, (9223372036854775801, 9223372036854775807, -1)) t(-7, 9223372036854775808, 1, 0, (0, 0, 1)) t(-7, 9223372036854775808, 1, 1, (0, 1, 1)) t(-7, 9223372036854775808, 1, 5, (0, 5, 1)) t(-7, 9223372036854775808, 1, 10, (3, 10, 1)) t(-7, 9223372036854775808, 1, 100, (93, 100, 1)) t(-7, 9223372036854775808, 1, 2147483647, (2147483640, 2147483647, 1)) t(-7, 9223372036854775808, 1, 9223372036854775808, (9223372036854775801, 9223372036854775808, 1)) t(-7, 9223372036854775808, 5, 0, (0, 0, 5)) t(-7, 9223372036854775808, 5, 1, (0, 1, 5)) t(-7, 9223372036854775808, 5, 5, (0, 5, 5)) t(-7, 9223372036854775808, 5, 10, (3, 10, 5)) t(-7, 9223372036854775808, 5, 100, (93, 100, 5)) t(-7, 9223372036854775808, 5, 2147483647, (2147483640, 2147483647, 5)) t(-7, 9223372036854775808, 5, 9223372036854775808, (9223372036854775801, 9223372036854775808, 5)) t(-7, 9223372036854775808, 20, 0, (0, 0, 20)) t(-7, 9223372036854775808, 20, 1, (0, 1, 20)) t(-7, 9223372036854775808, 20, 5, (0, 5, 20)) t(-7, 9223372036854775808, 20, 10, (3, 10, 20)) t(-7, 9223372036854775808, 20, 100, (93, 100, 20)) t(-7, 9223372036854775808, 20, 2147483647, (2147483640, 2147483647, 20)) t(-7, 9223372036854775808, 20, 9223372036854775808, (9223372036854775801, 9223372036854775808, 20)) t(-7, 9223372036854775808, 2147483647, 0, (0, 0, 2147483647)) t(-7, 9223372036854775808, 2147483647, 1, (0, 1, 2147483647)) t(-7, 9223372036854775808, 2147483647, 5, (0, 5, 2147483647)) t(-7, 9223372036854775808, 2147483647, 10, (3, 10, 2147483647)) t(-7, 9223372036854775808, 2147483647, 100, (93, 100, 2147483647)) t(-7, 9223372036854775808, 2147483647, 2147483647, (2147483640, 2147483647, 2147483647)) t(-7, 9223372036854775808, 2147483647, 9223372036854775808, (9223372036854775801, 9223372036854775808, 2147483647)) t(-7, 9223372036854775808, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-7, 9223372036854775808, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-7, 9223372036854775808, 9223372036854775808, 5, (0, 5, 9223372036854775808)) t(-7, 9223372036854775808, 9223372036854775808, 10, (3, 10, 9223372036854775808)) t(-7, 9223372036854775808, 9223372036854775808, 100, (93, 100, 9223372036854775808)) t(-7, 9223372036854775808, 9223372036854775808, 2147483647, (2147483640, 2147483647, 9223372036854775808)) t(-7, 9223372036854775808, 9223372036854775808, 9223372036854775808, (9223372036854775801, 9223372036854775808, 9223372036854775808)) t(-2, None, None, 0, (0, 0, 1)) t(-2, None, None, 1, (0, 1, 1)) t(-2, None, None, 5, (3, 5, 1)) t(-2, None, None, 10, (8, 10, 1)) t(-2, None, None, 100, (98, 100, 1)) t(-2, None, None, 2147483647, (2147483645, 2147483647, 1)) t(-2, None, None, 9223372036854775808, (9223372036854775806, 9223372036854775808, 1)) t(-2, None, -5, 0, (-1, -1, -5)) t(-2, None, -5, 1, (-1, -1, -5)) t(-2, None, -5, 5, (3, -1, -5)) t(-2, None, -5, 10, (8, -1, -5)) t(-2, None, -5, 100, (98, -1, -5)) t(-2, None, -5, 2147483647, (2147483645, -1, -5)) t(-2, None, -5, 9223372036854775808, (9223372036854775806, -1, -5)) t(-2, None, -3, 0, (-1, -1, -3)) t(-2, None, -3, 1, (-1, -1, -3)) t(-2, None, -3, 5, (3, -1, -3)) t(-2, None, -3, 10, (8, -1, -3)) t(-2, None, -3, 100, (98, -1, -3)) t(-2, None, -3, 2147483647, (2147483645, -1, -3)) t(-2, None, -3, 9223372036854775808, (9223372036854775806, -1, -3)) t(-2, None, -1, 0, (-1, -1, -1)) t(-2, None, -1, 1, (-1, -1, -1)) t(-2, None, -1, 5, (3, -1, -1)) t(-2, None, -1, 10, (8, -1, -1)) t(-2, None, -1, 100, (98, -1, -1)) t(-2, None, -1, 2147483647, (2147483645, -1, -1)) t(-2, None, -1, 9223372036854775808, (9223372036854775806, -1, -1)) t(-2, None, 1, 0, (0, 0, 1)) t(-2, None, 1, 1, (0, 1, 1)) t(-2, None, 1, 5, (3, 5, 1)) t(-2, None, 1, 10, (8, 10, 1)) t(-2, None, 1, 100, (98, 100, 1)) t(-2, None, 1, 2147483647, (2147483645, 2147483647, 1)) t(-2, None, 1, 9223372036854775808, (9223372036854775806, 9223372036854775808, 1)) t(-2, None, 5, 0, (0, 0, 5)) t(-2, None, 5, 1, (0, 1, 5)) t(-2, None, 5, 5, (3, 5, 5)) t(-2, None, 5, 10, (8, 10, 5)) t(-2, None, 5, 100, (98, 100, 5)) t(-2, None, 5, 2147483647, (2147483645, 2147483647, 5)) t(-2, None, 5, 9223372036854775808, (9223372036854775806, 9223372036854775808, 5)) t(-2, None, 20, 0, (0, 0, 20)) t(-2, None, 20, 1, (0, 1, 20)) t(-2, None, 20, 5, (3, 5, 20)) t(-2, None, 20, 10, (8, 10, 20)) t(-2, None, 20, 100, (98, 100, 20)) t(-2, None, 20, 2147483647, (2147483645, 2147483647, 20)) t(-2, None, 20, 9223372036854775808, (9223372036854775806, 9223372036854775808, 20)) t(-2, None, 2147483647, 0, (0, 0, 2147483647)) t(-2, None, 2147483647, 1, (0, 1, 2147483647)) t(-2, None, 2147483647, 5, (3, 5, 2147483647)) t(-2, None, 2147483647, 10, (8, 10, 2147483647)) t(-2, None, 2147483647, 100, (98, 100, 2147483647)) t(-2, None, 2147483647, 2147483647, (2147483645, 2147483647, 2147483647)) t(-2, None, 2147483647, 9223372036854775808, (9223372036854775806, 9223372036854775808, 2147483647)) t(-2, None, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-2, None, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-2, None, 9223372036854775808, 5, (3, 5, 9223372036854775808)) t(-2, None, 9223372036854775808, 10, (8, 10, 9223372036854775808)) t(-2, None, 9223372036854775808, 100, (98, 100, 9223372036854775808)) t(-2, None, 9223372036854775808, 2147483647, (2147483645, 2147483647, 9223372036854775808)) t(-2, None, 9223372036854775808, 9223372036854775808, (9223372036854775806, 9223372036854775808, 9223372036854775808)) t(-2, -7, None, 0, (0, 0, 1)) t(-2, -7, None, 1, (0, 0, 1)) t(-2, -7, None, 5, (3, 0, 1)) t(-2, -7, None, 10, (8, 3, 1)) t(-2, -7, None, 100, (98, 93, 1)) t(-2, -7, None, 2147483647, (2147483645, 2147483640, 1)) t(-2, -7, None, 9223372036854775808, (9223372036854775806, 9223372036854775801, 1)) t(-2, -7, -5, 0, (-1, -1, -5)) t(-2, -7, -5, 1, (-1, -1, -5)) t(-2, -7, -5, 5, (3, -1, -5)) t(-2, -7, -5, 10, (8, 3, -5)) t(-2, -7, -5, 100, (98, 93, -5)) t(-2, -7, -5, 2147483647, (2147483645, 2147483640, -5)) t(-2, -7, -5, 9223372036854775808, (9223372036854775806, 9223372036854775801, -5)) t(-2, -7, -3, 0, (-1, -1, -3)) t(-2, -7, -3, 1, (-1, -1, -3)) t(-2, -7, -3, 5, (3, -1, -3)) t(-2, -7, -3, 10, (8, 3, -3)) t(-2, -7, -3, 100, (98, 93, -3)) t(-2, -7, -3, 2147483647, (2147483645, 2147483640, -3)) t(-2, -7, -3, 9223372036854775808, (9223372036854775806, 9223372036854775801, -3)) t(-2, -7, -1, 0, (-1, -1, -1)) t(-2, -7, -1, 1, (-1, -1, -1)) t(-2, -7, -1, 5, (3, -1, -1)) t(-2, -7, -1, 10, (8, 3, -1)) t(-2, -7, -1, 100, (98, 93, -1)) t(-2, -7, -1, 2147483647, (2147483645, 2147483640, -1)) t(-2, -7, -1, 9223372036854775808, (9223372036854775806, 9223372036854775801, -1)) t(-2, -7, 1, 0, (0, 0, 1)) t(-2, -7, 1, 1, (0, 0, 1)) t(-2, -7, 1, 5, (3, 0, 1)) t(-2, -7, 1, 10, (8, 3, 1)) t(-2, -7, 1, 100, (98, 93, 1)) t(-2, -7, 1, 2147483647, (2147483645, 2147483640, 1)) t(-2, -7, 1, 9223372036854775808, (9223372036854775806, 9223372036854775801, 1)) t(-2, -7, 5, 0, (0, 0, 5)) t(-2, -7, 5, 1, (0, 0, 5)) t(-2, -7, 5, 5, (3, 0, 5)) t(-2, -7, 5, 10, (8, 3, 5)) t(-2, -7, 5, 100, (98, 93, 5)) t(-2, -7, 5, 2147483647, (2147483645, 2147483640, 5)) t(-2, -7, 5, 9223372036854775808, (9223372036854775806, 9223372036854775801, 5)) t(-2, -7, 20, 0, (0, 0, 20)) t(-2, -7, 20, 1, (0, 0, 20)) t(-2, -7, 20, 5, (3, 0, 20)) t(-2, -7, 20, 10, (8, 3, 20)) t(-2, -7, 20, 100, (98, 93, 20)) t(-2, -7, 20, 2147483647, (2147483645, 2147483640, 20)) t(-2, -7, 20, 9223372036854775808, (9223372036854775806, 9223372036854775801, 20)) t(-2, -7, 2147483647, 0, (0, 0, 2147483647)) t(-2, -7, 2147483647, 1, (0, 0, 2147483647)) t(-2, -7, 2147483647, 5, (3, 0, 2147483647)) t(-2, -7, 2147483647, 10, (8, 3, 2147483647)) t(-2, -7, 2147483647, 100, (98, 93, 2147483647)) t(-2, -7, 2147483647, 2147483647, (2147483645, 2147483640, 2147483647)) t(-2, -7, 2147483647, 9223372036854775808, (9223372036854775806, 9223372036854775801, 2147483647)) t(-2, -7, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-2, -7, 9223372036854775808, 1, (0, 0, 9223372036854775808)) t(-2, -7, 9223372036854775808, 5, (3, 0, 9223372036854775808)) t(-2, -7, 9223372036854775808, 10, (8, 3, 9223372036854775808)) t(-2, -7, 9223372036854775808, 100, (98, 93, 9223372036854775808)) t(-2, -7, 9223372036854775808, 2147483647, (2147483645, 2147483640, 9223372036854775808)) t(-2, -7, 9223372036854775808, 9223372036854775808, (9223372036854775806, 9223372036854775801, 9223372036854775808)) t(-2, -2, None, 0, (0, 0, 1)) t(-2, -2, None, 1, (0, 0, 1)) t(-2, -2, None, 5, (3, 3, 1)) t(-2, -2, None, 10, (8, 8, 1)) t(-2, -2, None, 100, (98, 98, 1)) t(-2, -2, None, 2147483647, (2147483645, 2147483645, 1)) t(-2, -2, None, 9223372036854775808, (9223372036854775806, 9223372036854775806, 1)) t(-2, -2, -5, 0, (-1, -1, -5)) t(-2, -2, -5, 1, (-1, -1, -5)) t(-2, -2, -5, 5, (3, 3, -5)) t(-2, -2, -5, 10, (8, 8, -5)) t(-2, -2, -5, 100, (98, 98, -5)) t(-2, -2, -5, 2147483647, (2147483645, 2147483645, -5)) t(-2, -2, -5, 9223372036854775808, (9223372036854775806, 9223372036854775806, -5)) t(-2, -2, -3, 0, (-1, -1, -3)) t(-2, -2, -3, 1, (-1, -1, -3)) t(-2, -2, -3, 5, (3, 3, -3)) t(-2, -2, -3, 10, (8, 8, -3)) t(-2, -2, -3, 100, (98, 98, -3)) t(-2, -2, -3, 2147483647, (2147483645, 2147483645, -3)) t(-2, -2, -3, 9223372036854775808, (9223372036854775806, 9223372036854775806, -3)) t(-2, -2, -1, 0, (-1, -1, -1)) t(-2, -2, -1, 1, (-1, -1, -1)) t(-2, -2, -1, 5, (3, 3, -1)) t(-2, -2, -1, 10, (8, 8, -1)) t(-2, -2, -1, 100, (98, 98, -1)) t(-2, -2, -1, 2147483647, (2147483645, 2147483645, -1)) t(-2, -2, -1, 9223372036854775808, (9223372036854775806, 9223372036854775806, -1)) t(-2, -2, 1, 0, (0, 0, 1)) t(-2, -2, 1, 1, (0, 0, 1)) t(-2, -2, 1, 5, (3, 3, 1)) t(-2, -2, 1, 10, (8, 8, 1)) t(-2, -2, 1, 100, (98, 98, 1)) t(-2, -2, 1, 2147483647, (2147483645, 2147483645, 1)) t(-2, -2, 1, 9223372036854775808, (9223372036854775806, 9223372036854775806, 1)) t(-2, -2, 5, 0, (0, 0, 5)) t(-2, -2, 5, 1, (0, 0, 5)) t(-2, -2, 5, 5, (3, 3, 5)) t(-2, -2, 5, 10, (8, 8, 5)) t(-2, -2, 5, 100, (98, 98, 5)) t(-2, -2, 5, 2147483647, (2147483645, 2147483645, 5)) t(-2, -2, 5, 9223372036854775808, (9223372036854775806, 9223372036854775806, 5)) t(-2, -2, 20, 0, (0, 0, 20)) t(-2, -2, 20, 1, (0, 0, 20)) t(-2, -2, 20, 5, (3, 3, 20)) t(-2, -2, 20, 10, (8, 8, 20)) t(-2, -2, 20, 100, (98, 98, 20)) t(-2, -2, 20, 2147483647, (2147483645, 2147483645, 20)) t(-2, -2, 20, 9223372036854775808, (9223372036854775806, 9223372036854775806, 20)) t(-2, -2, 2147483647, 0, (0, 0, 2147483647)) t(-2, -2, 2147483647, 1, (0, 0, 2147483647)) t(-2, -2, 2147483647, 5, (3, 3, 2147483647)) t(-2, -2, 2147483647, 10, (8, 8, 2147483647)) t(-2, -2, 2147483647, 100, (98, 98, 2147483647)) t(-2, -2, 2147483647, 2147483647, (2147483645, 2147483645, 2147483647)) t(-2, -2, 2147483647, 9223372036854775808, (9223372036854775806, 9223372036854775806, 2147483647)) t(-2, -2, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-2, -2, 9223372036854775808, 1, (0, 0, 9223372036854775808)) t(-2, -2, 9223372036854775808, 5, (3, 3, 9223372036854775808)) t(-2, -2, 9223372036854775808, 10, (8, 8, 9223372036854775808)) t(-2, -2, 9223372036854775808, 100, (98, 98, 9223372036854775808)) t(-2, -2, 9223372036854775808, 2147483647, (2147483645, 2147483645, 9223372036854775808)) t(-2, -2, 9223372036854775808, 9223372036854775808, (9223372036854775806, 9223372036854775806, 9223372036854775808)) t(-2, 0, None, 0, (0, 0, 1)) t(-2, 0, None, 1, (0, 0, 1)) t(-2, 0, None, 5, (3, 0, 1)) t(-2, 0, None, 10, (8, 0, 1)) t(-2, 0, None, 100, (98, 0, 1)) t(-2, 0, None, 2147483647, (2147483645, 0, 1)) t(-2, 0, None, 9223372036854775808, (9223372036854775806, 0, 1)) t(-2, 0, -5, 0, (-1, -1, -5)) t(-2, 0, -5, 1, (-1, 0, -5)) t(-2, 0, -5, 5, (3, 0, -5)) t(-2, 0, -5, 10, (8, 0, -5)) t(-2, 0, -5, 100, (98, 0, -5)) t(-2, 0, -5, 2147483647, (2147483645, 0, -5)) t(-2, 0, -5, 9223372036854775808, (9223372036854775806, 0, -5)) t(-2, 0, -3, 0, (-1, -1, -3)) t(-2, 0, -3, 1, (-1, 0, -3)) t(-2, 0, -3, 5, (3, 0, -3)) t(-2, 0, -3, 10, (8, 0, -3)) t(-2, 0, -3, 100, (98, 0, -3)) t(-2, 0, -3, 2147483647, (2147483645, 0, -3)) t(-2, 0, -3, 9223372036854775808, (9223372036854775806, 0, -3)) t(-2, 0, -1, 0, (-1, -1, -1)) t(-2, 0, -1, 1, (-1, 0, -1)) t(-2, 0, -1, 5, (3, 0, -1)) t(-2, 0, -1, 10, (8, 0, -1)) t(-2, 0, -1, 100, (98, 0, -1)) t(-2, 0, -1, 2147483647, (2147483645, 0, -1)) t(-2, 0, -1, 9223372036854775808, (9223372036854775806, 0, -1)) t(-2, 0, 1, 0, (0, 0, 1)) t(-2, 0, 1, 1, (0, 0, 1)) t(-2, 0, 1, 5, (3, 0, 1)) t(-2, 0, 1, 10, (8, 0, 1)) t(-2, 0, 1, 100, (98, 0, 1)) t(-2, 0, 1, 2147483647, (2147483645, 0, 1)) t(-2, 0, 1, 9223372036854775808, (9223372036854775806, 0, 1)) t(-2, 0, 5, 0, (0, 0, 5)) t(-2, 0, 5, 1, (0, 0, 5)) t(-2, 0, 5, 5, (3, 0, 5)) t(-2, 0, 5, 10, (8, 0, 5)) t(-2, 0, 5, 100, (98, 0, 5)) t(-2, 0, 5, 2147483647, (2147483645, 0, 5)) t(-2, 0, 5, 9223372036854775808, (9223372036854775806, 0, 5)) t(-2, 0, 20, 0, (0, 0, 20)) t(-2, 0, 20, 1, (0, 0, 20)) t(-2, 0, 20, 5, (3, 0, 20)) t(-2, 0, 20, 10, (8, 0, 20)) t(-2, 0, 20, 100, (98, 0, 20)) t(-2, 0, 20, 2147483647, (2147483645, 0, 20)) t(-2, 0, 20, 9223372036854775808, (9223372036854775806, 0, 20)) t(-2, 0, 2147483647, 0, (0, 0, 2147483647)) t(-2, 0, 2147483647, 1, (0, 0, 2147483647)) t(-2, 0, 2147483647, 5, (3, 0, 2147483647)) t(-2, 0, 2147483647, 10, (8, 0, 2147483647)) t(-2, 0, 2147483647, 100, (98, 0, 2147483647)) t(-2, 0, 2147483647, 2147483647, (2147483645, 0, 2147483647)) t(-2, 0, 2147483647, 9223372036854775808, (9223372036854775806, 0, 2147483647)) t(-2, 0, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-2, 0, 9223372036854775808, 1, (0, 0, 9223372036854775808)) t(-2, 0, 9223372036854775808, 5, (3, 0, 9223372036854775808)) t(-2, 0, 9223372036854775808, 10, (8, 0, 9223372036854775808)) t(-2, 0, 9223372036854775808, 100, (98, 0, 9223372036854775808)) t(-2, 0, 9223372036854775808, 2147483647, (2147483645, 0, 9223372036854775808)) t(-2, 0, 9223372036854775808, 9223372036854775808, (9223372036854775806, 0, 9223372036854775808)) t(-2, 1, None, 0, (0, 0, 1)) t(-2, 1, None, 1, (0, 1, 1)) t(-2, 1, None, 5, (3, 1, 1)) t(-2, 1, None, 10, (8, 1, 1)) t(-2, 1, None, 100, (98, 1, 1)) t(-2, 1, None, 2147483647, (2147483645, 1, 1)) t(-2, 1, None, 9223372036854775808, (9223372036854775806, 1, 1)) t(-2, 1, -5, 0, (-1, -1, -5)) t(-2, 1, -5, 1, (-1, 0, -5)) t(-2, 1, -5, 5, (3, 1, -5)) t(-2, 1, -5, 10, (8, 1, -5)) t(-2, 1, -5, 100, (98, 1, -5)) t(-2, 1, -5, 2147483647, (2147483645, 1, -5)) t(-2, 1, -5, 9223372036854775808, (9223372036854775806, 1, -5)) t(-2, 1, -3, 0, (-1, -1, -3)) t(-2, 1, -3, 1, (-1, 0, -3)) t(-2, 1, -3, 5, (3, 1, -3)) t(-2, 1, -3, 10, (8, 1, -3)) t(-2, 1, -3, 100, (98, 1, -3)) t(-2, 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1, (0, 1, 1)) t(-2, 6, None, 5, (3, 5, 1)) t(-2, 6, None, 10, (8, 6, 1)) t(-2, 6, None, 100, (98, 6, 1)) t(-2, 6, None, 2147483647, (2147483645, 6, 1)) t(-2, 6, None, 9223372036854775808, (9223372036854775806, 6, 1)) t(-2, 6, -5, 0, (-1, -1, -5)) t(-2, 6, -5, 1, (-1, 0, -5)) t(-2, 6, -5, 5, (3, 4, -5)) t(-2, 6, -5, 10, (8, 6, -5)) t(-2, 6, -5, 100, (98, 6, -5)) t(-2, 6, -5, 2147483647, (2147483645, 6, -5)) t(-2, 6, -5, 9223372036854775808, (9223372036854775806, 6, -5)) t(-2, 6, -3, 0, (-1, -1, -3)) t(-2, 6, -3, 1, (-1, 0, -3)) t(-2, 6, -3, 5, (3, 4, -3)) t(-2, 6, -3, 10, (8, 6, -3)) t(-2, 6, -3, 100, (98, 6, -3)) t(-2, 6, -3, 2147483647, (2147483645, 6, -3)) t(-2, 6, -3, 9223372036854775808, (9223372036854775806, 6, -3)) t(-2, 6, -1, 0, (-1, -1, -1)) t(-2, 6, -1, 1, (-1, 0, -1)) t(-2, 6, -1, 5, (3, 4, -1)) t(-2, 6, -1, 10, (8, 6, -1)) t(-2, 6, -1, 100, (98, 6, -1)) t(-2, 6, -1, 2147483647, (2147483645, 6, -1)) t(-2, 6, -1, 9223372036854775808, (9223372036854775806, 6, -1)) t(-2, 6, 1, 0, (0, 0, 1)) t(-2, 6, 1, 1, (0, 1, 1)) t(-2, 6, 1, 5, (3, 5, 1)) t(-2, 6, 1, 10, (8, 6, 1)) t(-2, 6, 1, 100, (98, 6, 1)) t(-2, 6, 1, 2147483647, (2147483645, 6, 1)) t(-2, 6, 1, 9223372036854775808, (9223372036854775806, 6, 1)) t(-2, 6, 5, 0, (0, 0, 5)) t(-2, 6, 5, 1, (0, 1, 5)) t(-2, 6, 5, 5, (3, 5, 5)) t(-2, 6, 5, 10, (8, 6, 5)) t(-2, 6, 5, 100, (98, 6, 5)) t(-2, 6, 5, 2147483647, (2147483645, 6, 5)) t(-2, 6, 5, 9223372036854775808, (9223372036854775806, 6, 5)) t(-2, 6, 20, 0, (0, 0, 20)) t(-2, 6, 20, 1, (0, 1, 20)) t(-2, 6, 20, 5, (3, 5, 20)) t(-2, 6, 20, 10, (8, 6, 20)) t(-2, 6, 20, 100, (98, 6, 20)) t(-2, 6, 20, 2147483647, (2147483645, 6, 20)) t(-2, 6, 20, 9223372036854775808, (9223372036854775806, 6, 20)) t(-2, 6, 2147483647, 0, (0, 0, 2147483647)) t(-2, 6, 2147483647, 1, (0, 1, 2147483647)) t(-2, 6, 2147483647, 5, (3, 5, 2147483647)) t(-2, 6, 2147483647, 10, (8, 6, 2147483647)) t(-2, 6, 2147483647, 100, (98, 6, 2147483647)) t(-2, 6, 2147483647, 2147483647, (2147483645, 6, 2147483647)) t(-2, 6, 2147483647, 9223372036854775808, (9223372036854775806, 6, 2147483647)) t(-2, 6, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-2, 6, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-2, 6, 9223372036854775808, 5, (3, 5, 9223372036854775808)) t(-2, 6, 9223372036854775808, 10, (8, 6, 9223372036854775808)) t(-2, 6, 9223372036854775808, 100, (98, 6, 9223372036854775808)) t(-2, 6, 9223372036854775808, 2147483647, (2147483645, 6, 9223372036854775808)) t(-2, 6, 9223372036854775808, 9223372036854775808, (9223372036854775806, 6, 9223372036854775808)) t(-2, 10, None, 0, (0, 0, 1)) t(-2, 10, None, 1, (0, 1, 1)) t(-2, 10, None, 5, (3, 5, 1)) t(-2, 10, None, 10, (8, 10, 1)) t(-2, 10, None, 100, (98, 10, 1)) t(-2, 10, None, 2147483647, (2147483645, 10, 1)) t(-2, 10, None, 9223372036854775808, (9223372036854775806, 10, 1)) t(-2, 10, -5, 0, (-1, -1, -5)) t(-2, 10, -5, 1, (-1, 0, -5)) t(-2, 10, -5, 5, (3, 4, -5)) t(-2, 10, -5, 10, (8, 9, -5)) t(-2, 10, -5, 100, (98, 10, -5)) t(-2, 10, -5, 2147483647, (2147483645, 10, -5)) t(-2, 10, -5, 9223372036854775808, (9223372036854775806, 10, -5)) t(-2, 10, -3, 0, (-1, -1, -3)) t(-2, 10, -3, 1, (-1, 0, -3)) t(-2, 10, -3, 5, (3, 4, -3)) t(-2, 10, -3, 10, (8, 9, -3)) t(-2, 10, -3, 100, (98, 10, -3)) t(-2, 10, -3, 2147483647, (2147483645, 10, -3)) t(-2, 10, -3, 9223372036854775808, (9223372036854775806, 10, -3)) t(-2, 10, -1, 0, (-1, -1, -1)) t(-2, 10, -1, 1, (-1, 0, -1)) t(-2, 10, -1, 5, (3, 4, -1)) t(-2, 10, -1, 10, (8, 9, -1)) t(-2, 10, -1, 100, (98, 10, -1)) t(-2, 10, -1, 2147483647, (2147483645, 10, -1)) t(-2, 10, -1, 9223372036854775808, (9223372036854775806, 10, -1)) t(-2, 10, 1, 0, (0, 0, 1)) t(-2, 10, 1, 1, (0, 1, 1)) t(-2, 10, 1, 5, (3, 5, 1)) t(-2, 10, 1, 10, (8, 10, 1)) t(-2, 10, 1, 100, (98, 10, 1)) t(-2, 10, 1, 2147483647, (2147483645, 10, 1)) t(-2, 10, 1, 9223372036854775808, (9223372036854775806, 10, 1)) t(-2, 10, 5, 0, (0, 0, 5)) t(-2, 10, 5, 1, (0, 1, 5)) t(-2, 10, 5, 5, (3, 5, 5)) t(-2, 10, 5, 10, (8, 10, 5)) t(-2, 10, 5, 100, (98, 10, 5)) t(-2, 10, 5, 2147483647, (2147483645, 10, 5)) t(-2, 10, 5, 9223372036854775808, (9223372036854775806, 10, 5)) t(-2, 10, 20, 0, (0, 0, 20)) t(-2, 10, 20, 1, (0, 1, 20)) t(-2, 10, 20, 5, (3, 5, 20)) t(-2, 10, 20, 10, (8, 10, 20)) t(-2, 10, 20, 100, (98, 10, 20)) t(-2, 10, 20, 2147483647, (2147483645, 10, 20)) t(-2, 10, 20, 9223372036854775808, (9223372036854775806, 10, 20)) t(-2, 10, 2147483647, 0, (0, 0, 2147483647)) t(-2, 10, 2147483647, 1, (0, 1, 2147483647)) t(-2, 10, 2147483647, 5, (3, 5, 2147483647)) t(-2, 10, 2147483647, 10, (8, 10, 2147483647)) t(-2, 10, 2147483647, 100, (98, 10, 2147483647)) t(-2, 10, 2147483647, 2147483647, (2147483645, 10, 2147483647)) t(-2, 10, 2147483647, 9223372036854775808, (9223372036854775806, 10, 2147483647)) t(-2, 10, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-2, 10, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-2, 10, 9223372036854775808, 5, (3, 5, 9223372036854775808)) t(-2, 10, 9223372036854775808, 10, (8, 10, 9223372036854775808)) t(-2, 10, 9223372036854775808, 100, (98, 10, 9223372036854775808)) t(-2, 10, 9223372036854775808, 2147483647, (2147483645, 10, 9223372036854775808)) t(-2, 10, 9223372036854775808, 9223372036854775808, (9223372036854775806, 10, 9223372036854775808)) t(-2, 2147483647, None, 0, (0, 0, 1)) t(-2, 2147483647, None, 1, (0, 1, 1)) t(-2, 2147483647, None, 5, (3, 5, 1)) t(-2, 2147483647, None, 10, (8, 10, 1)) t(-2, 2147483647, None, 100, (98, 100, 1)) t(-2, 2147483647, None, 2147483647, (2147483645, 2147483647, 1)) t(-2, 2147483647, None, 9223372036854775808, (9223372036854775806, 2147483647, 1)) t(-2, 2147483647, -5, 0, (-1, -1, -5)) t(-2, 2147483647, -5, 1, (-1, 0, -5)) t(-2, 2147483647, -5, 5, (3, 4, -5)) t(-2, 2147483647, -5, 10, (8, 9, -5)) t(-2, 2147483647, -5, 100, (98, 99, -5)) t(-2, 2147483647, -5, 2147483647, (2147483645, 2147483646, -5)) t(-2, 2147483647, -5, 9223372036854775808, (9223372036854775806, 2147483647, -5)) t(-2, 2147483647, -3, 0, (-1, -1, -3)) t(-2, 2147483647, -3, 1, (-1, 0, -3)) t(-2, 2147483647, -3, 5, (3, 4, -3)) t(-2, 2147483647, -3, 10, (8, 9, -3)) t(-2, 2147483647, -3, 100, (98, 99, -3)) t(-2, 2147483647, -3, 2147483647, (2147483645, 2147483646, -3)) t(-2, 2147483647, -3, 9223372036854775808, (9223372036854775806, 2147483647, -3)) t(-2, 2147483647, -1, 0, (-1, -1, -1)) t(-2, 2147483647, -1, 1, (-1, 0, -1)) t(-2, 2147483647, -1, 5, (3, 4, -1)) t(-2, 2147483647, -1, 10, (8, 9, -1)) t(-2, 2147483647, -1, 100, (98, 99, -1)) t(-2, 2147483647, -1, 2147483647, (2147483645, 2147483646, -1)) t(-2, 2147483647, -1, 9223372036854775808, (9223372036854775806, 2147483647, -1)) t(-2, 2147483647, 1, 0, (0, 0, 1)) t(-2, 2147483647, 1, 1, (0, 1, 1)) t(-2, 2147483647, 1, 5, (3, 5, 1)) t(-2, 2147483647, 1, 10, (8, 10, 1)) t(-2, 2147483647, 1, 100, (98, 100, 1)) t(-2, 2147483647, 1, 2147483647, (2147483645, 2147483647, 1)) t(-2, 2147483647, 1, 9223372036854775808, (9223372036854775806, 2147483647, 1)) 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2147483647)) t(-2, 2147483647, 2147483647, 9223372036854775808, (9223372036854775806, 2147483647, 2147483647)) t(-2, 2147483647, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-2, 2147483647, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-2, 2147483647, 9223372036854775808, 5, (3, 5, 9223372036854775808)) t(-2, 2147483647, 9223372036854775808, 10, (8, 10, 9223372036854775808)) t(-2, 2147483647, 9223372036854775808, 100, (98, 100, 9223372036854775808)) t(-2, 2147483647, 9223372036854775808, 2147483647, (2147483645, 2147483647, 9223372036854775808)) t(-2, 2147483647, 9223372036854775808, 9223372036854775808, (9223372036854775806, 2147483647, 9223372036854775808)) t(-2, 9223372036854775808, None, 0, (0, 0, 1)) t(-2, 9223372036854775808, None, 1, (0, 1, 1)) t(-2, 9223372036854775808, None, 5, (3, 5, 1)) t(-2, 9223372036854775808, None, 10, (8, 10, 1)) t(-2, 9223372036854775808, None, 100, (98, 100, 1)) t(-2, 9223372036854775808, None, 2147483647, (2147483645, 2147483647, 1)) t(-2, 9223372036854775808, None, 9223372036854775808, (9223372036854775806, 9223372036854775808, 1)) t(-2, 9223372036854775808, -5, 0, (-1, -1, -5)) t(-2, 9223372036854775808, -5, 1, (-1, 0, -5)) t(-2, 9223372036854775808, -5, 5, (3, 4, -5)) t(-2, 9223372036854775808, -5, 10, (8, 9, -5)) t(-2, 9223372036854775808, -5, 100, (98, 99, -5)) t(-2, 9223372036854775808, -5, 2147483647, (2147483645, 2147483646, -5)) t(-2, 9223372036854775808, -5, 9223372036854775808, (9223372036854775806, 9223372036854775807, -5)) t(-2, 9223372036854775808, -3, 0, (-1, -1, -3)) t(-2, 9223372036854775808, -3, 1, (-1, 0, -3)) t(-2, 9223372036854775808, -3, 5, (3, 4, -3)) t(-2, 9223372036854775808, -3, 10, (8, 9, -3)) t(-2, 9223372036854775808, -3, 100, (98, 99, -3)) t(-2, 9223372036854775808, -3, 2147483647, (2147483645, 2147483646, -3)) t(-2, 9223372036854775808, -3, 9223372036854775808, (9223372036854775806, 9223372036854775807, -3)) t(-2, 9223372036854775808, -1, 0, (-1, -1, -1)) t(-2, 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2147483647, (10, 1, 9223372036854775808)) t(10, 1, 9223372036854775808, 9223372036854775808, (10, 1, 9223372036854775808)) t(10, 6, None, 0, (0, 0, 1)) t(10, 6, None, 1, (1, 1, 1)) t(10, 6, None, 5, (5, 5, 1)) t(10, 6, None, 10, (10, 6, 1)) t(10, 6, None, 100, (10, 6, 1)) t(10, 6, None, 2147483647, (10, 6, 1)) t(10, 6, None, 9223372036854775808, (10, 6, 1)) t(10, 6, -5, 0, (-1, -1, -5)) t(10, 6, -5, 1, (0, 0, -5)) t(10, 6, -5, 5, (4, 4, -5)) t(10, 6, -5, 10, (9, 6, -5)) t(10, 6, -5, 100, (10, 6, -5)) t(10, 6, -5, 2147483647, (10, 6, -5)) t(10, 6, -5, 9223372036854775808, (10, 6, -5)) t(10, 6, -3, 0, (-1, -1, -3)) t(10, 6, -3, 1, (0, 0, -3)) t(10, 6, -3, 5, (4, 4, -3)) t(10, 6, -3, 10, (9, 6, -3)) t(10, 6, -3, 100, (10, 6, -3)) t(10, 6, -3, 2147483647, (10, 6, -3)) t(10, 6, -3, 9223372036854775808, (10, 6, -3)) t(10, 6, -1, 0, (-1, -1, -1)) t(10, 6, -1, 1, (0, 0, -1)) t(10, 6, -1, 5, (4, 4, -1)) t(10, 6, -1, 10, (9, 6, -1)) t(10, 6, -1, 100, (10, 6, -1)) t(10, 6, -1, 2147483647, (10, 6, -1)) t(10, 6, -1, 9223372036854775808, (10, 6, -1)) t(10, 6, 1, 0, (0, 0, 1)) t(10, 6, 1, 1, (1, 1, 1)) t(10, 6, 1, 5, (5, 5, 1)) t(10, 6, 1, 10, (10, 6, 1)) t(10, 6, 1, 100, (10, 6, 1)) t(10, 6, 1, 2147483647, (10, 6, 1)) t(10, 6, 1, 9223372036854775808, (10, 6, 1)) t(10, 6, 5, 0, (0, 0, 5)) t(10, 6, 5, 1, (1, 1, 5)) t(10, 6, 5, 5, (5, 5, 5)) t(10, 6, 5, 10, (10, 6, 5)) t(10, 6, 5, 100, (10, 6, 5)) t(10, 6, 5, 2147483647, (10, 6, 5)) t(10, 6, 5, 9223372036854775808, (10, 6, 5)) t(10, 6, 20, 0, (0, 0, 20)) t(10, 6, 20, 1, (1, 1, 20)) t(10, 6, 20, 5, (5, 5, 20)) t(10, 6, 20, 10, (10, 6, 20)) t(10, 6, 20, 100, (10, 6, 20)) t(10, 6, 20, 2147483647, (10, 6, 20)) t(10, 6, 20, 9223372036854775808, (10, 6, 20)) t(10, 6, 2147483647, 0, (0, 0, 2147483647)) t(10, 6, 2147483647, 1, (1, 1, 2147483647)) t(10, 6, 2147483647, 5, (5, 5, 2147483647)) t(10, 6, 2147483647, 10, (10, 6, 2147483647)) t(10, 6, 2147483647, 100, (10, 6, 2147483647)) t(10, 6, 2147483647, 2147483647, (10, 6, 2147483647)) t(10, 6, 2147483647, 9223372036854775808, (10, 6, 2147483647)) t(10, 6, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(10, 6, 9223372036854775808, 1, (1, 1, 9223372036854775808)) t(10, 6, 9223372036854775808, 5, (5, 5, 9223372036854775808)) t(10, 6, 9223372036854775808, 10, (10, 6, 9223372036854775808)) t(10, 6, 9223372036854775808, 100, (10, 6, 9223372036854775808)) t(10, 6, 9223372036854775808, 2147483647, (10, 6, 9223372036854775808)) t(10, 6, 9223372036854775808, 9223372036854775808, (10, 6, 9223372036854775808)) t(10, 10, None, 0, (0, 0, 1)) t(10, 10, None, 1, (1, 1, 1)) t(10, 10, None, 5, (5, 5, 1)) t(10, 10, None, 10, (10, 10, 1)) t(10, 10, None, 100, (10, 10, 1)) t(10, 10, None, 2147483647, (10, 10, 1)) t(10, 10, None, 9223372036854775808, (10, 10, 1)) t(10, 10, -5, 0, (-1, -1, -5)) t(10, 10, -5, 1, (0, 0, -5)) t(10, 10, -5, 5, (4, 4, -5)) t(10, 10, -5, 10, (9, 9, -5)) t(10, 10, -5, 100, (10, 10, -5)) t(10, 10, -5, 2147483647, (10, 10, -5)) t(10, 10, -5, 9223372036854775808, 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1, 20)) t(10, 10, 20, 5, (5, 5, 20)) t(10, 10, 20, 10, (10, 10, 20)) t(10, 10, 20, 100, (10, 10, 20)) t(10, 10, 20, 2147483647, (10, 10, 20)) t(10, 10, 20, 9223372036854775808, (10, 10, 20)) t(10, 10, 2147483647, 0, (0, 0, 2147483647)) t(10, 10, 2147483647, 1, (1, 1, 2147483647)) t(10, 10, 2147483647, 5, (5, 5, 2147483647)) t(10, 10, 2147483647, 10, (10, 10, 2147483647)) t(10, 10, 2147483647, 100, (10, 10, 2147483647)) t(10, 10, 2147483647, 2147483647, (10, 10, 2147483647)) t(10, 10, 2147483647, 9223372036854775808, (10, 10, 2147483647)) t(10, 10, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(10, 10, 9223372036854775808, 1, (1, 1, 9223372036854775808)) t(10, 10, 9223372036854775808, 5, (5, 5, 9223372036854775808)) t(10, 10, 9223372036854775808, 10, (10, 10, 9223372036854775808)) t(10, 10, 9223372036854775808, 100, (10, 10, 9223372036854775808)) t(10, 10, 9223372036854775808, 2147483647, (10, 10, 9223372036854775808)) t(10, 10, 9223372036854775808, 9223372036854775808, (10, 10, 9223372036854775808)) t(10, 2147483647, None, 0, (0, 0, 1)) t(10, 2147483647, None, 1, (1, 1, 1)) t(10, 2147483647, None, 5, (5, 5, 1)) t(10, 2147483647, None, 10, (10, 10, 1)) t(10, 2147483647, None, 100, (10, 100, 1)) t(10, 2147483647, None, 2147483647, (10, 2147483647, 1)) t(10, 2147483647, None, 9223372036854775808, (10, 2147483647, 1)) t(10, 2147483647, -5, 0, (-1, -1, -5)) t(10, 2147483647, -5, 1, (0, 0, -5)) t(10, 2147483647, -5, 5, (4, 4, -5)) t(10, 2147483647, -5, 10, (9, 9, -5)) t(10, 2147483647, -5, 100, (10, 99, -5)) t(10, 2147483647, -5, 2147483647, (10, 2147483646, -5)) t(10, 2147483647, -5, 9223372036854775808, (10, 2147483647, -5)) t(10, 2147483647, -3, 0, (-1, -1, -3)) t(10, 2147483647, -3, 1, (0, 0, -3)) t(10, 2147483647, -3, 5, (4, 4, -3)) t(10, 2147483647, -3, 10, (9, 9, -3)) t(10, 2147483647, -3, 100, (10, 99, -3)) t(10, 2147483647, -3, 2147483647, (10, 2147483646, -3)) t(10, 2147483647, -3, 9223372036854775808, (10, 2147483647, -3)) t(10, 2147483647, -1, 0, (-1, 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2147483647, 9223372036854775808, 2147483647, (10, 2147483647, 9223372036854775808)) t(10, 2147483647, 9223372036854775808, 9223372036854775808, (10, 2147483647, 9223372036854775808)) t(10, 9223372036854775808, None, 0, (0, 0, 1)) t(10, 9223372036854775808, None, 1, (1, 1, 1)) t(10, 9223372036854775808, None, 5, (5, 5, 1)) t(10, 9223372036854775808, None, 10, (10, 10, 1)) t(10, 9223372036854775808, None, 100, (10, 100, 1)) t(10, 9223372036854775808, None, 2147483647, (10, 2147483647, 1)) t(10, 9223372036854775808, None, 9223372036854775808, (10, 9223372036854775808, 1)) t(10, 9223372036854775808, -5, 0, (-1, -1, -5)) t(10, 9223372036854775808, -5, 1, (0, 0, -5)) t(10, 9223372036854775808, -5, 5, (4, 4, -5)) t(10, 9223372036854775808, -5, 10, (9, 9, -5)) t(10, 9223372036854775808, -5, 100, (10, 99, -5)) t(10, 9223372036854775808, -5, 2147483647, (10, 2147483646, -5)) t(10, 9223372036854775808, -5, 9223372036854775808, (10, 9223372036854775807, -5)) t(10, 9223372036854775808, -3, 0, (-1, 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9223372036854775808, 2147483647, 5, (5, 5, 2147483647)) t(10, 9223372036854775808, 2147483647, 10, (10, 10, 2147483647)) t(10, 9223372036854775808, 2147483647, 100, (10, 100, 2147483647)) t(10, 9223372036854775808, 2147483647, 2147483647, (10, 2147483647, 2147483647)) t(10, 9223372036854775808, 2147483647, 9223372036854775808, (10, 9223372036854775808, 2147483647)) t(10, 9223372036854775808, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(10, 9223372036854775808, 9223372036854775808, 1, (1, 1, 9223372036854775808)) t(10, 9223372036854775808, 9223372036854775808, 5, (5, 5, 9223372036854775808)) t(10, 9223372036854775808, 9223372036854775808, 10, (10, 10, 9223372036854775808)) t(10, 9223372036854775808, 9223372036854775808, 100, (10, 100, 9223372036854775808)) t(10, 9223372036854775808, 9223372036854775808, 2147483647, (10, 2147483647, 9223372036854775808)) t(10, 9223372036854775808, 9223372036854775808, 9223372036854775808, (10, 9223372036854775808, 9223372036854775808)) 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1)) t(2147483647, -2, None, 100, (100, 98, 1)) t(2147483647, -2, None, 2147483647, (2147483647, 2147483645, 1)) t(2147483647, -2, None, 9223372036854775808, (2147483647, 9223372036854775806, 1)) t(2147483647, -2, -5, 0, (-1, -1, -5)) t(2147483647, -2, -5, 1, (0, -1, -5)) t(2147483647, -2, -5, 5, (4, 3, -5)) t(2147483647, -2, -5, 10, (9, 8, -5)) t(2147483647, -2, -5, 100, (99, 98, -5)) t(2147483647, -2, -5, 2147483647, (2147483646, 2147483645, -5)) t(2147483647, -2, -5, 9223372036854775808, (2147483647, 9223372036854775806, -5)) t(2147483647, -2, -3, 0, (-1, -1, -3)) t(2147483647, -2, -3, 1, (0, -1, -3)) t(2147483647, -2, -3, 5, (4, 3, -3)) t(2147483647, -2, -3, 10, (9, 8, -3)) t(2147483647, -2, -3, 100, (99, 98, -3)) t(2147483647, -2, -3, 2147483647, (2147483646, 2147483645, -3)) t(2147483647, -2, -3, 9223372036854775808, (2147483647, 9223372036854775806, -3)) t(2147483647, -2, -1, 0, (-1, -1, -1)) t(2147483647, -2, -1, 1, (0, -1, -1)) t(2147483647, -2, -1, 5, (4, 3, -1)) t(2147483647, 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8, 20)) t(2147483647, -2, 20, 100, (100, 98, 20)) t(2147483647, -2, 20, 2147483647, (2147483647, 2147483645, 20)) t(2147483647, -2, 20, 9223372036854775808, (2147483647, 9223372036854775806, 20)) t(2147483647, -2, 2147483647, 0, (0, 0, 2147483647)) t(2147483647, -2, 2147483647, 1, (1, 0, 2147483647)) t(2147483647, -2, 2147483647, 5, (5, 3, 2147483647)) t(2147483647, -2, 2147483647, 10, (10, 8, 2147483647)) t(2147483647, -2, 2147483647, 100, (100, 98, 2147483647)) t(2147483647, -2, 2147483647, 2147483647, (2147483647, 2147483645, 2147483647)) t(2147483647, -2, 2147483647, 9223372036854775808, (2147483647, 9223372036854775806, 2147483647)) t(2147483647, -2, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(2147483647, -2, 9223372036854775808, 1, (1, 0, 9223372036854775808)) t(2147483647, -2, 9223372036854775808, 5, (5, 3, 9223372036854775808)) t(2147483647, -2, 9223372036854775808, 10, (10, 8, 9223372036854775808)) t(2147483647, -2, 9223372036854775808, 100, (100, 98, 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t(9223372036854775808, 9223372036854775808, -3, 2147483647, (2147483646, 2147483646, -3)) t(9223372036854775808, 9223372036854775808, -3, 9223372036854775808, (9223372036854775807, 9223372036854775807, -3)) t(9223372036854775808, 9223372036854775808, -1, 0, (-1, -1, -1)) t(9223372036854775808, 9223372036854775808, -1, 1, (0, 0, -1)) t(9223372036854775808, 9223372036854775808, -1, 5, (4, 4, -1)) t(9223372036854775808, 9223372036854775808, -1, 10, (9, 9, -1)) t(9223372036854775808, 9223372036854775808, -1, 100, (99, 99, -1)) t(9223372036854775808, 9223372036854775808, -1, 2147483647, (2147483646, 2147483646, -1)) t(9223372036854775808, 9223372036854775808, -1, 9223372036854775808, (9223372036854775807, 9223372036854775807, -1)) t(9223372036854775808, 9223372036854775808, 1, 0, (0, 0, 1)) t(9223372036854775808, 9223372036854775808, 1, 1, (1, 1, 1)) t(9223372036854775808, 9223372036854775808, 1, 5, (5, 5, 1)) t(9223372036854775808, 9223372036854775808, 1, 10, (10, 10, 1)) t(9223372036854775808, 9223372036854775808, 1, 100, (100, 100, 1)) t(9223372036854775808, 9223372036854775808, 1, 2147483647, (2147483647, 2147483647, 1)) t(9223372036854775808, 9223372036854775808, 1, 9223372036854775808, (9223372036854775808, 9223372036854775808, 1)) t(9223372036854775808, 9223372036854775808, 5, 0, (0, 0, 5)) t(9223372036854775808, 9223372036854775808, 5, 1, (1, 1, 5)) t(9223372036854775808, 9223372036854775808, 5, 5, (5, 5, 5)) t(9223372036854775808, 9223372036854775808, 5, 10, (10, 10, 5)) t(9223372036854775808, 9223372036854775808, 5, 100, (100, 100, 5)) t(9223372036854775808, 9223372036854775808, 5, 2147483647, (2147483647, 2147483647, 5)) t(9223372036854775808, 9223372036854775808, 5, 9223372036854775808, (9223372036854775808, 9223372036854775808, 5)) t(9223372036854775808, 9223372036854775808, 20, 0, (0, 0, 20)) t(9223372036854775808, 9223372036854775808, 20, 1, (1, 1, 20)) t(9223372036854775808, 9223372036854775808, 20, 5, (5, 5, 20)) t(9223372036854775808, 9223372036854775808, 20, 10, (10, 10, 20)) t(9223372036854775808, 9223372036854775808, 20, 100, (100, 100, 20)) t(9223372036854775808, 9223372036854775808, 20, 2147483647, (2147483647, 2147483647, 20)) t(9223372036854775808, 9223372036854775808, 20, 9223372036854775808, (9223372036854775808, 9223372036854775808, 20)) t(9223372036854775808, 9223372036854775808, 2147483647, 0, (0, 0, 2147483647)) t(9223372036854775808, 9223372036854775808, 2147483647, 1, (1, 1, 2147483647)) t(9223372036854775808, 9223372036854775808, 2147483647, 5, (5, 5, 2147483647)) t(9223372036854775808, 9223372036854775808, 2147483647, 10, (10, 10, 2147483647)) t(9223372036854775808, 9223372036854775808, 2147483647, 100, (100, 100, 2147483647)) t(9223372036854775808, 9223372036854775808, 2147483647, 2147483647, (2147483647, 2147483647, 2147483647)) t(9223372036854775808, 9223372036854775808, 2147483647, 9223372036854775808, (9223372036854775808, 9223372036854775808, 2147483647)) t(9223372036854775808, 9223372036854775808, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(9223372036854775808, 9223372036854775808, 9223372036854775808, 1, (1, 1, 9223372036854775808)) t(9223372036854775808, 9223372036854775808, 9223372036854775808, 5, (5, 5, 9223372036854775808)) t(9223372036854775808, 9223372036854775808, 9223372036854775808, 10, (10, 10, 9223372036854775808)) t(9223372036854775808, 9223372036854775808, 9223372036854775808, 100, (100, 100, 9223372036854775808)) t(9223372036854775808, 9223372036854775808, 9223372036854775808, 2147483647, (2147483647, 2147483647, 9223372036854775808)) t(9223372036854775808, 9223372036854775808, 9223372036854775808, 9223372036854775808, (9223372036854775808, 9223372036854775808, 9223372036854775808))
# for index, character in enumerate("abcdefgh"): # print(index, character) for t in enumerate("abcdefgh"): index, character = t print(index, character) print(t) # the output has 8 tuples # unpacking tuples is a valuable technique index, character = [0, 'a'] print(index) print(character)
for t in enumerate('abcdefgh'): (index, character) = t print(index, character) print(t) (index, character) = [0, 'a'] print(index) print(character)
user_bin = int(input(), 2) one = int(1) zero = int(0) user_int = int(user_bin) user_int = int(user_int * 1) oct_str = str(oct(user_int)) print(oct_str[2:])
user_bin = int(input(), 2) one = int(1) zero = int(0) user_int = int(user_bin) user_int = int(user_int * 1) oct_str = str(oct(user_int)) print(oct_str[2:])
controller = ''' from fastapi import APIRouter, HTTPException,Cookie, Depends,Header,File, Body,Query from starlette.responses import JSONResponse from core.factories import settings import httpx router = APIRouter() '''
controller = '\nfrom fastapi import APIRouter, HTTPException,Cookie, Depends,Header,File, Body,Query\nfrom starlette.responses import JSONResponse\nfrom core.factories import settings\nimport httpx\n\nrouter = APIRouter()\n\n'
# parse file file_names = [] with open("train_file_controller.txt", 'r') as f: for line in f: file_names.append(line.strip().replace('\n', '')) with open("val_file_controller.txt", 'r') as f: for line in f: file_names.append(line.strip().replace('\n', '')) file_names.sort() for file in file_names: print(file) print("hello")
file_names = [] with open('train_file_controller.txt', 'r') as f: for line in f: file_names.append(line.strip().replace('\n', '')) with open('val_file_controller.txt', 'r') as f: for line in f: file_names.append(line.strip().replace('\n', '')) file_names.sort() for file in file_names: print(file) print('hello')
__all__ = ['InputError'] class InputError(BaseException): def __init__(self, errors): self.errors = errors super().__init__()
__all__ = ['InputError'] class Inputerror(BaseException): def __init__(self, errors): self.errors = errors super().__init__()
# # PySNMP MIB module PDN-CP-IWF-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/PDN-CP-IWF-MIB # Produced by pysmi-0.3.4 at Mon Apr 29 20:29:19 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # OctetString, Integer, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "OctetString", "Integer", "ObjectIdentifier") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ConstraintsUnion, ValueRangeConstraint, SingleValueConstraint, ConstraintsIntersection, ValueSizeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "ValueRangeConstraint", "SingleValueConstraint", "ConstraintsIntersection", "ValueSizeConstraint") ifIndex, InterfaceIndex = mibBuilder.importSymbols("IF-MIB", "ifIndex", "InterfaceIndex") pdnCpIwf, = mibBuilder.importSymbols("PDN-HEADER-MIB", "pdnCpIwf") SwitchState, = mibBuilder.importSymbols("PDN-TC", "SwitchState") NotificationGroup, ObjectGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ObjectGroup", "ModuleCompliance") MibScalar, MibTable, MibTableRow, MibTableColumn, ObjectIdentity, Gauge32, ModuleIdentity, TimeTicks, Counter32, IpAddress, iso, Integer32, NotificationType, Bits, Counter64, MibIdentifier, Unsigned32 = mibBuilder.importSymbols("SNMPv2-SMI", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "ObjectIdentity", "Gauge32", "ModuleIdentity", "TimeTicks", "Counter32", "IpAddress", "iso", "Integer32", "NotificationType", "Bits", "Counter64", "MibIdentifier", "Unsigned32") TextualConvention, RowStatus, DisplayString, TruthValue = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "RowStatus", "DisplayString", "TruthValue") pdnCpIwfMIB = ModuleIdentity((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1)) pdnCpIwfMIB.setRevisions(('2004-12-02 17:00', '2004-10-07 11:00', '2004-08-30 11:00', '2004-07-15 00:00', '2004-03-22 00:00',)) if mibBuilder.loadTexts: pdnCpIwfMIB.setLastUpdated('200412021700Z') if mibBuilder.loadTexts: pdnCpIwfMIB.setOrganization('Paradyne Networks MIB Working Group Other information about group editing the MIB') pdnCpIwfNotifications = MibIdentifier((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 0)) pdnCpIwfMIBObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1)) pdnCpIwfMIBConformance = MibIdentifier((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2)) pdnCpIwfConfigObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1)) pdnCpIwfTestObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 2)) pdnCpIwfStatsObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3)) class CpIwfRegion(TextualConvention, Integer32): status = 'current' subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2)) namedValues = NamedValues(("usa", 1), ("canada", 2)) class GatewayProtocol(TextualConvention, Integer32): status = 'current' subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4)) namedValues = NamedValues(("lescas", 1), ("voiceband", 2), ("mgcp", 3), ("sip", 4)) class HookState(TextualConvention, Integer32): status = 'current' subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3)) namedValues = NamedValues(("onhook", 1), ("offhook", 2), ("ringground", 3)) class PotsSignaling(TextualConvention, Integer32): status = 'current' subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2)) namedValues = NamedValues(("loopstart", 1), ("groundstart", 2)) class ControlProtocol(TextualConvention, Bits): status = 'current' namedValues = NamedValues(("cas", 0), ("eoc", 1), ("ccselcp", 2)) class VoiceEncoding(TextualConvention, Integer32): status = 'current' subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(0, 1, 2)) namedValues = NamedValues(("g711", 0), ("g726", 1), ("g729", 2)) class PdnPotsTestTypes(TextualConvention, Integer32): status = 'current' subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3)) namedValues = NamedValues(("noTest", 1), ("loopback", 2), ("ringsignal", 3)) pdnCpIwfTotalNumber = MibScalar((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 2147483647))).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfTotalNumber.setStatus('current') pdnCpIwfIndexNext = MibScalar((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 2147483647))).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfIndexNext.setStatus('current') pdnCpIwfRegion = MibScalar((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 3), CpIwfRegion()).setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnCpIwfRegion.setStatus('current') pdnCpIwfTable = MibTable((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4), ) if mibBuilder.loadTexts: pdnCpIwfTable.setStatus('current') pdnCpIwfEntry = MibTableRow((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1), ).setIndexNames((0, "PDN-CP-IWF-MIB", "pdnCpIwfIndex")) if mibBuilder.loadTexts: pdnCpIwfEntry.setStatus('current') pdnCpIwfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 2147483647))) if mibBuilder.loadTexts: pdnCpIwfIndex.setStatus('current') pdnCpIwfIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1, 2), InterfaceIndex()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfIfIndex.setStatus('current') pdnCpIwfRowStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1, 3), RowStatus()).setMaxAccess("readcreate") if mibBuilder.loadTexts: pdnCpIwfRowStatus.setStatus('current') pdnCpIwfNumPotsAssigned = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1, 4), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 24))).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfNumPotsAssigned.setStatus('current') pdnCpIwfGatewayProtocol = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1, 5), GatewayProtocol()).setMaxAccess("readcreate") if mibBuilder.loadTexts: pdnCpIwfGatewayProtocol.setStatus('current') pdnCpIwfAtmBLESCapability = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1, 6), ControlProtocol()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfAtmBLESCapability.setStatus('current') pdnCpIwfSscsPredefinedProfile = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1, 7), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnCpIwfSscsPredefinedProfile.setStatus('current') pdnCpIwfJitterBufferLength = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1, 8), Integer32().subtype(subtypeSpec=ValueRangeConstraint(10, 120))).setUnits('Milliseconds').setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnCpIwfJitterBufferLength.setStatus('current') pdnCpIwfMappingTable = MibTable((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 5), ) if mibBuilder.loadTexts: pdnCpIwfMappingTable.setStatus('current') pdnCpIwfMappingEntry = MibTableRow((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 5, 1), ).setIndexNames((0, "IF-MIB", "ifIndex")) if mibBuilder.loadTexts: pdnCpIwfMappingEntry.setStatus('current') pdnCpIwfMappingIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 5, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 2147483647))).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfMappingIndex.setStatus('current') pdnPotsPortTable = MibTable((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6), ) if mibBuilder.loadTexts: pdnPotsPortTable.setStatus('current') pdnPotsPortEntry = MibTableRow((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1), ).setIndexNames((0, "PDN-CP-IWF-MIB", "pdnPotsPortIfIndex")) if mibBuilder.loadTexts: pdnPotsPortEntry.setStatus('current') pdnPotsPortIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 1), InterfaceIndex()) if mibBuilder.loadTexts: pdnPotsPortIfIndex.setStatus('current') pdnPotsPortCpIwfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 2147483647))).setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnPotsPortCpIwfIndex.setStatus('current') pdnPotsPortHookStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 3), HookState()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortHookStatus.setStatus('current') pdnPotsPortSignalingMethod = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 4), PotsSignaling()).setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnPotsPortSignalingMethod.setStatus('current') pdnPotsPortTxGain = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-24, 23))).setUnits('dB').setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnPotsPortTxGain.setStatus('current') pdnPotsPortRxGain = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 6), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-24, 23))).setUnits('dB').setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnPotsPortRxGain.setStatus('current') pdnPotsPortCustInfo = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 7), DisplayString()).setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnPotsPortCustInfo.setStatus('current') pdnPotsPortG729VoiceCodec = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 8), SwitchState()).setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnPotsPortG729VoiceCodec.setStatus('current') pdnPotsPortPreferedVoiceCodec = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 9), VoiceEncoding()).setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnPotsPortPreferedVoiceCodec.setStatus('current') pdnPotsPortPreferredPacketPeriod = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 10), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 2147483647))).setUnits('Milliseconds').setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnPotsPortPreferredPacketPeriod.setStatus('current') pdnPotsPortSilenceSuppression = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 11), SwitchState()).setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnPotsPortSilenceSuppression.setStatus('current') pdnPotsPortActualVoiceCodec = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 12), VoiceEncoding()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortActualVoiceCodec.setStatus('current') pdnPotsPortCallElapsedTime = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 13), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setUnits('Seconds').setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortCallElapsedTime.setStatus('current') pdnPotsPortModemDetected = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 14), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortModemDetected.setStatus('current') pdnPotsPortEchoCanceller = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 15), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortEchoCanceller.setStatus('current') pdnPotsPortLocalEndName = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 16), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 64))).setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnPotsPortLocalEndName.setStatus('current') pdnPotsPortActiveSoftswitch = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 17), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("primary", 1), ("secondary", 2), ("none", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortActiveSoftswitch.setStatus('current') pdnCpIwfAal2StatsTable = MibTable((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1), ) if mibBuilder.loadTexts: pdnCpIwfAal2StatsTable.setStatus('current') pdnCpIwfAal2StatsEntry = MibTableRow((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1), ).setIndexNames((0, "IF-MIB", "ifIndex")) if mibBuilder.loadTexts: pdnCpIwfAal2StatsEntry.setStatus('current') pdnCpIwfAal2CpsRxPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 1), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfAal2CpsRxPkts.setStatus('current') pdnCpIwfAal2CpsTxPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 2), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfAal2CpsTxPkts.setStatus('current') pdnCpIwfAal2CpsParityErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 3), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfAal2CpsParityErrors.setStatus('current') pdnCpIwfAal2CpsSeqNumErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 4), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfAal2CpsSeqNumErrors.setStatus('current') pdnCpIwfAal2CpsOsfMismatchErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 5), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfAal2CpsOsfMismatchErrors.setStatus('current') pdnCpIwfAal2CpsOsfErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 6), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfAal2CpsOsfErrors.setStatus('current') pdnCpIwfAal2CpsHecErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 7), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfAal2CpsHecErrors.setStatus('current') pdnCpIwfAal2CpsOversizeSduErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 8), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfAal2CpsOversizeSduErrors.setStatus('current') pdnCpIwfAal2CpsReassemblyErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 9), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfAal2CpsReassemblyErrors.setStatus('current') pdnCpIwfAal2CpsHecOverlapErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 10), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfAal2CpsHecOverlapErrors.setStatus('current') pdnCpIwfAal2CpsUuiErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 11), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfAal2CpsUuiErrors.setStatus('current') pdnCpIwfAal2CpsCidErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 12), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfAal2CpsCidErrors.setStatus('current') pdnPotsPortStatsTable = MibTable((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2), ) if mibBuilder.loadTexts: pdnPotsPortStatsTable.setStatus('current') pdnPotsPortStatsEntry = MibTableRow((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1), ).setIndexNames((0, "IF-MIB", "ifIndex")) if mibBuilder.loadTexts: pdnPotsPortStatsEntry.setStatus('current') pdnPotsPortTotalCalls = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 1), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortTotalCalls.setStatus('current') pdnPotsPortTotalCallsFailure = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 2), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortTotalCallsFailure.setStatus('current') pdnPotsPortTotalCallsDropped = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 3), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortTotalCallsDropped.setStatus('current') pdnPotsPortInCallsReceived = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 4), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortInCallsReceived.setStatus('current') pdnPotsPortInCallsAnswered = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 5), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortInCallsAnswered.setStatus('current') pdnPotsPortInCallsConnected = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 6), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortInCallsConnected.setStatus('current') pdnPotsPortInCallsFailure = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 7), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortInCallsFailure.setStatus('current') pdnPotsPortOutCallsAttempted = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 8), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortOutCallsAttempted.setStatus('current') pdnPotsPortOutCallsAnswered = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 9), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortOutCallsAnswered.setStatus('current') pdnPotsPortOutCallsConnected = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 10), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortOutCallsConnected.setStatus('current') pdnPotsPortOutCallsFailure = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 11), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortOutCallsFailure.setStatus('current') pdnPotsPortPacketsSent = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 12), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortPacketsSent.setStatus('current') pdnPotsPortPacketsReceived = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 13), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortPacketsReceived.setStatus('current') pdnPotsPortPacketsLost = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 14), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortPacketsLost.setStatus('current') pdnPotsPortBytesSent = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 15), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortBytesSent.setStatus('current') pdnPotsPortBytesReceived = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 16), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortBytesReceived.setStatus('current') pdnPotsTestTable = MibTable((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 2, 1), ) if mibBuilder.loadTexts: pdnPotsTestTable.setStatus('current') pdnPotsTestEntry = MibTableRow((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 2, 1, 1), ).setIndexNames((0, "IF-MIB", "ifIndex")) if mibBuilder.loadTexts: pdnPotsTestEntry.setStatus('current') pdnPotsTestType = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 2, 1, 1, 1), PdnPotsTestTypes()).setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnPotsTestType.setStatus('current') pdnPotsTestCmd = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 2, 1, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("noOp", 1), ("start", 2), ("stop", 3), ("keepAlive", 4)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnPotsTestCmd.setStatus('current') pdnPotsTestStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 2, 1, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("active", 1), ("inactive", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsTestStatus.setStatus('current') pdnCpIwfMIBCompliances = MibIdentifier((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 1)) pdnCpIwfMIBGroups = MibIdentifier((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2)) pdnCpIwfMIBCompliance = ModuleCompliance((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 1, 1)).setObjects(("PDN-CP-IWF-MIB", "pdnCpIwfGeneralConfigGroup"), ("PDN-CP-IWF-MIB", "pdnCpIwfPotsPortConfigGroup"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2StatsGroup"), ("PDN-CP-IWF-MIB", "pdnCpIwfPotsPortStatsGroup")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfMIBCompliance = pdnCpIwfMIBCompliance.setStatus('deprecated') pdnCpIwfMIBComplianceV2 = ModuleCompliance((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 1, 2)).setObjects(("PDN-CP-IWF-MIB", "pdnCpIwfGeneralConfigGroupV2"), ("PDN-CP-IWF-MIB", "pdnCpIwfIADConfigGroupV2"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2StatsGroup"), ("PDN-CP-IWF-MIB", "pdnCpIwfPotsPortStatsGroupV2"), ("PDN-CP-IWF-MIB", "pdnCpIwfPotsPortConfigGroupV2"), ("PDN-CP-IWF-MIB", "pdnCpIwfPotsPortTestGroupV2")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfMIBComplianceV2 = pdnCpIwfMIBComplianceV2.setStatus('deprecated') pdnCpIwfMIBComplianceV3 = ModuleCompliance((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 1, 3)).setObjects(("PDN-CP-IWF-MIB", "pdnCpIwfGeneralConfigGroupV2"), ("PDN-CP-IWF-MIB", "pdnCpIwfIADConfigGroupV3"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2StatsGroup"), ("PDN-CP-IWF-MIB", "pdnCpIwfPotsPortStatsGroupV2"), ("PDN-CP-IWF-MIB", "pdnCpIwfPotsPortConfigGroupV2"), ("PDN-CP-IWF-MIB", "pdnCpIwfPotsPortTestGroupV2"), ("PDN-CP-IWF-MIB", "pdnCpIwfPotsPortPacketStatsGroup")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfMIBComplianceV3 = pdnCpIwfMIBComplianceV3.setStatus('current') pdnCpIwfGeneralConfigGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 1)).setObjects(("PDN-CP-IWF-MIB", "pdnCpIwfTotalNumber"), ("PDN-CP-IWF-MIB", "pdnCpIwfIndexNext"), ("PDN-CP-IWF-MIB", "pdnCpIwfRegion"), ("PDN-CP-IWF-MIB", "pdnCpIwfIfIndex"), ("PDN-CP-IWF-MIB", "pdnCpIwfRowStatus"), ("PDN-CP-IWF-MIB", "pdnCpIwfNumPotsAssigned"), ("PDN-CP-IWF-MIB", "pdnCpIwfGatewayProtocol"), ("PDN-CP-IWF-MIB", "pdnCpIwfAtmBLESCapability"), ("PDN-CP-IWF-MIB", "pdnCpIwfSscsPredefinedProfile"), ("PDN-CP-IWF-MIB", "pdnCpIwfMappingIndex")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfGeneralConfigGroup = pdnCpIwfGeneralConfigGroup.setStatus('deprecated') pdnCpIwfPotsPortConfigGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 2)).setObjects(("PDN-CP-IWF-MIB", "pdnPotsPortCpIwfIndex"), ("PDN-CP-IWF-MIB", "pdnPotsPortHookStatus"), ("PDN-CP-IWF-MIB", "pdnPotsPortSignalingMethod"), ("PDN-CP-IWF-MIB", "pdnPotsPortTxGain"), ("PDN-CP-IWF-MIB", "pdnPotsPortRxGain")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfPotsPortConfigGroup = pdnCpIwfPotsPortConfigGroup.setStatus('deprecated') pdnCpIwfAal2StatsGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 3)).setObjects(("PDN-CP-IWF-MIB", "pdnCpIwfAal2CpsRxPkts"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2CpsTxPkts"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2CpsParityErrors"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2CpsSeqNumErrors"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2CpsOsfMismatchErrors"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2CpsOsfErrors"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2CpsHecErrors"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2CpsOversizeSduErrors"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2CpsReassemblyErrors"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2CpsHecOverlapErrors"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2CpsUuiErrors"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2CpsCidErrors")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfAal2StatsGroup = pdnCpIwfAal2StatsGroup.setStatus('current') pdnCpIwfPotsPortStatsGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 4)).setObjects(("PDN-CP-IWF-MIB", "pdnPotsPortTotalCalls")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfPotsPortStatsGroup = pdnCpIwfPotsPortStatsGroup.setStatus('deprecated') pdnCpIwfGeneralConfigGroupV2 = ObjectGroup((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 5)).setObjects(("PDN-CP-IWF-MIB", "pdnCpIwfTotalNumber"), ("PDN-CP-IWF-MIB", "pdnCpIwfIndexNext"), ("PDN-CP-IWF-MIB", "pdnCpIwfRegion")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfGeneralConfigGroupV2 = pdnCpIwfGeneralConfigGroupV2.setStatus('current') pdnCpIwfIADConfigGroupV2 = ObjectGroup((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 6)).setObjects(("PDN-CP-IWF-MIB", "pdnCpIwfIfIndex"), ("PDN-CP-IWF-MIB", "pdnCpIwfRowStatus"), ("PDN-CP-IWF-MIB", "pdnCpIwfNumPotsAssigned"), ("PDN-CP-IWF-MIB", "pdnCpIwfGatewayProtocol"), ("PDN-CP-IWF-MIB", "pdnCpIwfAtmBLESCapability"), ("PDN-CP-IWF-MIB", "pdnCpIwfSscsPredefinedProfile"), ("PDN-CP-IWF-MIB", "pdnCpIwfMappingIndex")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfIADConfigGroupV2 = pdnCpIwfIADConfigGroupV2.setStatus('current') pdnCpIwfPotsPortStatsGroupV2 = ObjectGroup((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 7)).setObjects(("PDN-CP-IWF-MIB", "pdnPotsPortTotalCalls"), ("PDN-CP-IWF-MIB", "pdnPotsPortTotalCallsFailure"), ("PDN-CP-IWF-MIB", "pdnPotsPortTotalCallsDropped"), ("PDN-CP-IWF-MIB", "pdnPotsPortInCallsReceived"), ("PDN-CP-IWF-MIB", "pdnPotsPortInCallsAnswered"), ("PDN-CP-IWF-MIB", "pdnPotsPortInCallsConnected"), ("PDN-CP-IWF-MIB", "pdnPotsPortInCallsFailure"), ("PDN-CP-IWF-MIB", "pdnPotsPortOutCallsAttempted"), ("PDN-CP-IWF-MIB", "pdnPotsPortOutCallsAnswered"), ("PDN-CP-IWF-MIB", "pdnPotsPortOutCallsConnected"), ("PDN-CP-IWF-MIB", "pdnPotsPortOutCallsFailure"), ("PDN-CP-IWF-MIB", "pdnPotsPortPacketsSent"), ("PDN-CP-IWF-MIB", "pdnPotsPortPacketsReceived"), ("PDN-CP-IWF-MIB", "pdnPotsPortPacketsLost"), ("PDN-CP-IWF-MIB", "pdnPotsPortBytesSent"), ("PDN-CP-IWF-MIB", "pdnPotsPortBytesReceived")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfPotsPortStatsGroupV2 = pdnCpIwfPotsPortStatsGroupV2.setStatus('current') pdnCpIwfPotsPortConfigGroupV2 = ObjectGroup((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 8)).setObjects(("PDN-CP-IWF-MIB", "pdnPotsPortCpIwfIndex"), ("PDN-CP-IWF-MIB", "pdnPotsPortHookStatus"), ("PDN-CP-IWF-MIB", "pdnPotsPortSignalingMethod"), ("PDN-CP-IWF-MIB", "pdnPotsPortTxGain"), ("PDN-CP-IWF-MIB", "pdnPotsPortRxGain"), ("PDN-CP-IWF-MIB", "pdnPotsPortCustInfo"), ("PDN-CP-IWF-MIB", "pdnPotsPortG729VoiceCodec"), ("PDN-CP-IWF-MIB", "pdnPotsPortPreferedVoiceCodec"), ("PDN-CP-IWF-MIB", "pdnPotsPortPreferredPacketPeriod"), ("PDN-CP-IWF-MIB", "pdnPotsPortSilenceSuppression"), ("PDN-CP-IWF-MIB", "pdnPotsPortActualVoiceCodec"), ("PDN-CP-IWF-MIB", "pdnPotsPortCallElapsedTime"), ("PDN-CP-IWF-MIB", "pdnPotsPortModemDetected"), ("PDN-CP-IWF-MIB", "pdnPotsPortEchoCanceller"), ("PDN-CP-IWF-MIB", "pdnPotsPortLocalEndName"), ("PDN-CP-IWF-MIB", "pdnPotsPortActiveSoftswitch")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfPotsPortConfigGroupV2 = pdnCpIwfPotsPortConfigGroupV2.setStatus('current') pdnCpIwfPotsPortTestGroupV2 = ObjectGroup((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 9)).setObjects(("PDN-CP-IWF-MIB", "pdnPotsTestType"), ("PDN-CP-IWF-MIB", "pdnPotsTestCmd"), ("PDN-CP-IWF-MIB", "pdnPotsTestStatus")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfPotsPortTestGroupV2 = pdnCpIwfPotsPortTestGroupV2.setStatus('current') pdnCpIwfIADConfigGroupV3 = ObjectGroup((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 10)).setObjects(("PDN-CP-IWF-MIB", "pdnCpIwfIfIndex"), ("PDN-CP-IWF-MIB", "pdnCpIwfRowStatus"), ("PDN-CP-IWF-MIB", "pdnCpIwfNumPotsAssigned"), ("PDN-CP-IWF-MIB", "pdnCpIwfGatewayProtocol"), ("PDN-CP-IWF-MIB", "pdnCpIwfAtmBLESCapability"), ("PDN-CP-IWF-MIB", "pdnCpIwfSscsPredefinedProfile"), ("PDN-CP-IWF-MIB", "pdnCpIwfJitterBufferLength"), ("PDN-CP-IWF-MIB", "pdnCpIwfMappingIndex")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfIADConfigGroupV3 = pdnCpIwfIADConfigGroupV3.setStatus('current') pdnCpIwfPotsPortPacketStatsGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 11)).setObjects(("PDN-CP-IWF-MIB", "pdnPotsPortPacketsSent"), ("PDN-CP-IWF-MIB", "pdnPotsPortPacketsReceived"), ("PDN-CP-IWF-MIB", "pdnPotsPortPacketsLost"), ("PDN-CP-IWF-MIB", "pdnPotsPortBytesSent"), ("PDN-CP-IWF-MIB", "pdnPotsPortBytesReceived")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfPotsPortPacketStatsGroup = pdnCpIwfPotsPortPacketStatsGroup.setStatus('current') mibBuilder.exportSymbols("PDN-CP-IWF-MIB", CpIwfRegion=CpIwfRegion, pdnCpIwfIndex=pdnCpIwfIndex, pdnPotsPortStatsTable=pdnPotsPortStatsTable, pdnCpIwfNumPotsAssigned=pdnCpIwfNumPotsAssigned, pdnPotsPortInCallsConnected=pdnPotsPortInCallsConnected, pdnCpIwfMIBGroups=pdnCpIwfMIBGroups, GatewayProtocol=GatewayProtocol, pdnPotsTestEntry=pdnPotsTestEntry, pdnCpIwfTable=pdnCpIwfTable, pdnCpIwfNotifications=pdnCpIwfNotifications, pdnCpIwfAal2StatsTable=pdnCpIwfAal2StatsTable, pdnPotsPortSignalingMethod=pdnPotsPortSignalingMethod, pdnCpIwfAal2CpsUuiErrors=pdnCpIwfAal2CpsUuiErrors, pdnCpIwfJitterBufferLength=pdnCpIwfJitterBufferLength, PYSNMP_MODULE_ID=pdnCpIwfMIB, pdnCpIwfPotsPortConfigGroupV2=pdnCpIwfPotsPortConfigGroupV2, pdnPotsPortOutCallsFailure=pdnPotsPortOutCallsFailure, pdnPotsPortEntry=pdnPotsPortEntry, pdnCpIwfMIBCompliances=pdnCpIwfMIBCompliances, pdnCpIwfAtmBLESCapability=pdnCpIwfAtmBLESCapability, pdnPotsPortPreferedVoiceCodec=pdnPotsPortPreferedVoiceCodec, pdnPotsPortInCallsFailure=pdnPotsPortInCallsFailure, pdnPotsPortLocalEndName=pdnPotsPortLocalEndName, pdnCpIwfMIBComplianceV3=pdnCpIwfMIBComplianceV3, pdnCpIwfStatsObjects=pdnCpIwfStatsObjects, pdnPotsPortTxGain=pdnPotsPortTxGain, pdnPotsPortBytesSent=pdnPotsPortBytesSent, ControlProtocol=ControlProtocol, pdnPotsPortOutCallsAttempted=pdnPotsPortOutCallsAttempted, pdnPotsPortTotalCalls=pdnPotsPortTotalCalls, pdnPotsPortOutCallsConnected=pdnPotsPortOutCallsConnected, pdnCpIwfPotsPortStatsGroupV2=pdnCpIwfPotsPortStatsGroupV2, pdnCpIwfRowStatus=pdnCpIwfRowStatus, pdnPotsPortTable=pdnPotsPortTable, HookState=HookState, pdnPotsPortBytesReceived=pdnPotsPortBytesReceived, pdnCpIwfTestObjects=pdnCpIwfTestObjects, pdnPotsTestType=pdnPotsTestType, pdnPotsPortStatsEntry=pdnPotsPortStatsEntry, pdnPotsPortTotalCallsFailure=pdnPotsPortTotalCallsFailure, pdnPotsPortModemDetected=pdnPotsPortModemDetected, pdnCpIwfMappingEntry=pdnCpIwfMappingEntry, pdnCpIwfRegion=pdnCpIwfRegion, pdnPotsPortEchoCanceller=pdnPotsPortEchoCanceller, pdnCpIwfGeneralConfigGroup=pdnCpIwfGeneralConfigGroup, pdnCpIwfPotsPortStatsGroup=pdnCpIwfPotsPortStatsGroup, pdnCpIwfAal2CpsOsfErrors=pdnCpIwfAal2CpsOsfErrors, pdnCpIwfAal2CpsParityErrors=pdnCpIwfAal2CpsParityErrors, pdnCpIwfMIB=pdnCpIwfMIB, pdnCpIwfIADConfigGroupV2=pdnCpIwfIADConfigGroupV2, pdnPotsPortActualVoiceCodec=pdnPotsPortActualVoiceCodec, pdnPotsPortOutCallsAnswered=pdnPotsPortOutCallsAnswered, pdnCpIwfAal2CpsOversizeSduErrors=pdnCpIwfAal2CpsOversizeSduErrors, pdnCpIwfAal2CpsReassemblyErrors=pdnCpIwfAal2CpsReassemblyErrors, pdnCpIwfTotalNumber=pdnCpIwfTotalNumber, pdnPotsPortActiveSoftswitch=pdnPotsPortActiveSoftswitch, pdnPotsPortPacketsLost=pdnPotsPortPacketsLost, pdnCpIwfPotsPortTestGroupV2=pdnCpIwfPotsPortTestGroupV2, pdnPotsPortSilenceSuppression=pdnPotsPortSilenceSuppression, pdnCpIwfMappingIndex=pdnCpIwfMappingIndex, pdnCpIwfAal2CpsHecOverlapErrors=pdnCpIwfAal2CpsHecOverlapErrors, pdnCpIwfSscsPredefinedProfile=pdnCpIwfSscsPredefinedProfile, pdnPotsPortPreferredPacketPeriod=pdnPotsPortPreferredPacketPeriod, pdnCpIwfPotsPortPacketStatsGroup=pdnCpIwfPotsPortPacketStatsGroup, pdnPotsPortIfIndex=pdnPotsPortIfIndex, pdnPotsPortTotalCallsDropped=pdnPotsPortTotalCallsDropped, pdnCpIwfMappingTable=pdnCpIwfMappingTable, pdnCpIwfConfigObjects=pdnCpIwfConfigObjects, pdnCpIwfGeneralConfigGroupV2=pdnCpIwfGeneralConfigGroupV2, PdnPotsTestTypes=PdnPotsTestTypes, pdnCpIwfEntry=pdnCpIwfEntry, pdnCpIwfAal2CpsSeqNumErrors=pdnCpIwfAal2CpsSeqNumErrors, pdnPotsPortCustInfo=pdnPotsPortCustInfo, pdnPotsTestTable=pdnPotsTestTable, pdnCpIwfGatewayProtocol=pdnCpIwfGatewayProtocol, pdnCpIwfAal2CpsHecErrors=pdnCpIwfAal2CpsHecErrors, PotsSignaling=PotsSignaling, pdnCpIwfAal2CpsOsfMismatchErrors=pdnCpIwfAal2CpsOsfMismatchErrors, pdnPotsPortInCallsReceived=pdnPotsPortInCallsReceived, pdnPotsPortHookStatus=pdnPotsPortHookStatus, pdnCpIwfMIBComplianceV2=pdnCpIwfMIBComplianceV2, pdnCpIwfIndexNext=pdnCpIwfIndexNext, pdnCpIwfAal2StatsGroup=pdnCpIwfAal2StatsGroup, pdnCpIwfAal2CpsTxPkts=pdnCpIwfAal2CpsTxPkts, pdnPotsTestStatus=pdnPotsTestStatus, pdnCpIwfMIBCompliance=pdnCpIwfMIBCompliance, pdnPotsPortPacketsReceived=pdnPotsPortPacketsReceived, pdnCpIwfIfIndex=pdnCpIwfIfIndex, pdnPotsPortCallElapsedTime=pdnPotsPortCallElapsedTime, pdnCpIwfPotsPortConfigGroup=pdnCpIwfPotsPortConfigGroup, pdnCpIwfMIBConformance=pdnCpIwfMIBConformance, VoiceEncoding=VoiceEncoding, pdnPotsPortPacketsSent=pdnPotsPortPacketsSent, pdnCpIwfAal2StatsEntry=pdnCpIwfAal2StatsEntry, pdnPotsPortG729VoiceCodec=pdnPotsPortG729VoiceCodec, pdnCpIwfMIBObjects=pdnCpIwfMIBObjects, pdnPotsPortInCallsAnswered=pdnPotsPortInCallsAnswered, pdnPotsTestCmd=pdnPotsTestCmd, pdnCpIwfAal2CpsRxPkts=pdnCpIwfAal2CpsRxPkts, pdnCpIwfAal2CpsCidErrors=pdnCpIwfAal2CpsCidErrors, pdnPotsPortRxGain=pdnPotsPortRxGain, pdnCpIwfIADConfigGroupV3=pdnCpIwfIADConfigGroupV3, pdnPotsPortCpIwfIndex=pdnPotsPortCpIwfIndex)
(octet_string, integer, object_identifier) = mibBuilder.importSymbols('ASN1', 'OctetString', 'Integer', 'ObjectIdentifier') (named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues') (constraints_union, value_range_constraint, single_value_constraint, constraints_intersection, value_size_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ConstraintsUnion', 'ValueRangeConstraint', 'SingleValueConstraint', 'ConstraintsIntersection', 'ValueSizeConstraint') (if_index, interface_index) = mibBuilder.importSymbols('IF-MIB', 'ifIndex', 'InterfaceIndex') (pdn_cp_iwf,) = mibBuilder.importSymbols('PDN-HEADER-MIB', 'pdnCpIwf') (switch_state,) = mibBuilder.importSymbols('PDN-TC', 'SwitchState') (notification_group, object_group, module_compliance) = mibBuilder.importSymbols('SNMPv2-CONF', 'NotificationGroup', 'ObjectGroup', 'ModuleCompliance') (mib_scalar, mib_table, mib_table_row, mib_table_column, object_identity, gauge32, module_identity, time_ticks, counter32, ip_address, iso, integer32, notification_type, bits, counter64, mib_identifier, unsigned32) = mibBuilder.importSymbols('SNMPv2-SMI', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'ObjectIdentity', 'Gauge32', 'ModuleIdentity', 'TimeTicks', 'Counter32', 'IpAddress', 'iso', 'Integer32', 'NotificationType', 'Bits', 'Counter64', 'MibIdentifier', 'Unsigned32') (textual_convention, row_status, display_string, truth_value) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'RowStatus', 'DisplayString', 'TruthValue') pdn_cp_iwf_mib = module_identity((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1)) pdnCpIwfMIB.setRevisions(('2004-12-02 17:00', '2004-10-07 11:00', '2004-08-30 11:00', '2004-07-15 00:00', '2004-03-22 00:00')) if mibBuilder.loadTexts: pdnCpIwfMIB.setLastUpdated('200412021700Z') if mibBuilder.loadTexts: pdnCpIwfMIB.setOrganization('Paradyne Networks MIB Working Group Other information about group editing the MIB') pdn_cp_iwf_notifications = mib_identifier((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 0)) pdn_cp_iwf_mib_objects = mib_identifier((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1)) pdn_cp_iwf_mib_conformance = mib_identifier((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2)) pdn_cp_iwf_config_objects = mib_identifier((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1)) pdn_cp_iwf_test_objects = mib_identifier((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 2)) pdn_cp_iwf_stats_objects = mib_identifier((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3)) class Cpiwfregion(TextualConvention, Integer32): status = 'current' subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(1, 2)) named_values = named_values(('usa', 1), ('canada', 2)) class Gatewayprotocol(TextualConvention, Integer32): status = 'current' subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(1, 2, 3, 4)) named_values = named_values(('lescas', 1), ('voiceband', 2), ('mgcp', 3), ('sip', 4)) class Hookstate(TextualConvention, Integer32): status = 'current' subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(1, 2, 3)) named_values = named_values(('onhook', 1), ('offhook', 2), ('ringground', 3)) class Potssignaling(TextualConvention, Integer32): status = 'current' subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(1, 2)) named_values = named_values(('loopstart', 1), ('groundstart', 2)) class Controlprotocol(TextualConvention, Bits): status = 'current' named_values = named_values(('cas', 0), ('eoc', 1), ('ccselcp', 2)) class Voiceencoding(TextualConvention, Integer32): status = 'current' subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(0, 1, 2)) named_values = named_values(('g711', 0), ('g726', 1), ('g729', 2)) class Pdnpotstesttypes(TextualConvention, Integer32): status = 'current' subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(1, 2, 3)) named_values = named_values(('noTest', 1), ('loopback', 2), ('ringsignal', 3)) pdn_cp_iwf_total_number = mib_scalar((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 1), integer32().subtype(subtypeSpec=value_range_constraint(1, 2147483647))).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnCpIwfTotalNumber.setStatus('current') pdn_cp_iwf_index_next = mib_scalar((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 2), integer32().subtype(subtypeSpec=value_range_constraint(0, 2147483647))).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnCpIwfIndexNext.setStatus('current') pdn_cp_iwf_region = mib_scalar((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 3), cp_iwf_region()).setMaxAccess('readwrite') if mibBuilder.loadTexts: pdnCpIwfRegion.setStatus('current') pdn_cp_iwf_table = mib_table((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4)) if mibBuilder.loadTexts: pdnCpIwfTable.setStatus('current') pdn_cp_iwf_entry = mib_table_row((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1)).setIndexNames((0, 'PDN-CP-IWF-MIB', 'pdnCpIwfIndex')) if mibBuilder.loadTexts: pdnCpIwfEntry.setStatus('current') pdn_cp_iwf_index = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1, 1), integer32().subtype(subtypeSpec=value_range_constraint(1, 2147483647))) if mibBuilder.loadTexts: pdnCpIwfIndex.setStatus('current') pdn_cp_iwf_if_index = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1, 2), interface_index()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnCpIwfIfIndex.setStatus('current') pdn_cp_iwf_row_status = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1, 3), row_status()).setMaxAccess('readcreate') if mibBuilder.loadTexts: pdnCpIwfRowStatus.setStatus('current') pdn_cp_iwf_num_pots_assigned = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1, 4), integer32().subtype(subtypeSpec=value_range_constraint(0, 24))).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnCpIwfNumPotsAssigned.setStatus('current') pdn_cp_iwf_gateway_protocol = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1, 5), gateway_protocol()).setMaxAccess('readcreate') if mibBuilder.loadTexts: pdnCpIwfGatewayProtocol.setStatus('current') pdn_cp_iwf_atm_bles_capability = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1, 6), control_protocol()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnCpIwfAtmBLESCapability.setStatus('current') pdn_cp_iwf_sscs_predefined_profile = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1, 7), integer32()).setMaxAccess('readwrite') if mibBuilder.loadTexts: pdnCpIwfSscsPredefinedProfile.setStatus('current') pdn_cp_iwf_jitter_buffer_length = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1, 8), integer32().subtype(subtypeSpec=value_range_constraint(10, 120))).setUnits('Milliseconds').setMaxAccess('readwrite') if mibBuilder.loadTexts: pdnCpIwfJitterBufferLength.setStatus('current') pdn_cp_iwf_mapping_table = mib_table((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 5)) if mibBuilder.loadTexts: pdnCpIwfMappingTable.setStatus('current') pdn_cp_iwf_mapping_entry = mib_table_row((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 5, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex')) if mibBuilder.loadTexts: pdnCpIwfMappingEntry.setStatus('current') pdn_cp_iwf_mapping_index = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 5, 1, 1), integer32().subtype(subtypeSpec=value_range_constraint(1, 2147483647))).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnCpIwfMappingIndex.setStatus('current') pdn_pots_port_table = mib_table((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6)) if mibBuilder.loadTexts: pdnPotsPortTable.setStatus('current') pdn_pots_port_entry = mib_table_row((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1)).setIndexNames((0, 'PDN-CP-IWF-MIB', 'pdnPotsPortIfIndex')) if mibBuilder.loadTexts: pdnPotsPortEntry.setStatus('current') pdn_pots_port_if_index = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 1), interface_index()) if mibBuilder.loadTexts: pdnPotsPortIfIndex.setStatus('current') pdn_pots_port_cp_iwf_index = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 2), integer32().subtype(subtypeSpec=value_range_constraint(0, 2147483647))).setMaxAccess('readwrite') if mibBuilder.loadTexts: pdnPotsPortCpIwfIndex.setStatus('current') pdn_pots_port_hook_status = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 3), hook_state()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnPotsPortHookStatus.setStatus('current') pdn_pots_port_signaling_method = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 4), pots_signaling()).setMaxAccess('readwrite') if mibBuilder.loadTexts: pdnPotsPortSignalingMethod.setStatus('current') pdn_pots_port_tx_gain = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 5), integer32().subtype(subtypeSpec=value_range_constraint(-24, 23))).setUnits('dB').setMaxAccess('readwrite') if mibBuilder.loadTexts: pdnPotsPortTxGain.setStatus('current') pdn_pots_port_rx_gain = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 6), integer32().subtype(subtypeSpec=value_range_constraint(-24, 23))).setUnits('dB').setMaxAccess('readwrite') if mibBuilder.loadTexts: pdnPotsPortRxGain.setStatus('current') pdn_pots_port_cust_info = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 7), display_string()).setMaxAccess('readwrite') if mibBuilder.loadTexts: pdnPotsPortCustInfo.setStatus('current') pdn_pots_port_g729_voice_codec = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 8), switch_state()).setMaxAccess('readwrite') if mibBuilder.loadTexts: pdnPotsPortG729VoiceCodec.setStatus('current') pdn_pots_port_prefered_voice_codec = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 9), voice_encoding()).setMaxAccess('readwrite') if mibBuilder.loadTexts: pdnPotsPortPreferedVoiceCodec.setStatus('current') pdn_pots_port_preferred_packet_period = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 10), integer32().subtype(subtypeSpec=value_range_constraint(0, 2147483647))).setUnits('Milliseconds').setMaxAccess('readwrite') if mibBuilder.loadTexts: pdnPotsPortPreferredPacketPeriod.setStatus('current') pdn_pots_port_silence_suppression = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 11), switch_state()).setMaxAccess('readwrite') if mibBuilder.loadTexts: pdnPotsPortSilenceSuppression.setStatus('current') pdn_pots_port_actual_voice_codec = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 12), voice_encoding()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnPotsPortActualVoiceCodec.setStatus('current') pdn_pots_port_call_elapsed_time = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 13), integer32().subtype(subtypeSpec=value_range_constraint(0, 65535))).setUnits('Seconds').setMaxAccess('readonly') if mibBuilder.loadTexts: pdnPotsPortCallElapsedTime.setStatus('current') pdn_pots_port_modem_detected = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 14), truth_value()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnPotsPortModemDetected.setStatus('current') pdn_pots_port_echo_canceller = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 15), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('enabled', 1), ('disabled', 2)))).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnPotsPortEchoCanceller.setStatus('current') pdn_pots_port_local_end_name = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 16), display_string().subtype(subtypeSpec=value_size_constraint(0, 64))).setMaxAccess('readwrite') if mibBuilder.loadTexts: pdnPotsPortLocalEndName.setStatus('current') pdn_pots_port_active_softswitch = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 17), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('primary', 1), ('secondary', 2), ('none', 3)))).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnPotsPortActiveSoftswitch.setStatus('current') pdn_cp_iwf_aal2_stats_table = mib_table((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1)) if mibBuilder.loadTexts: pdnCpIwfAal2StatsTable.setStatus('current') pdn_cp_iwf_aal2_stats_entry = mib_table_row((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex')) if mibBuilder.loadTexts: pdnCpIwfAal2StatsEntry.setStatus('current') pdn_cp_iwf_aal2_cps_rx_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 1), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnCpIwfAal2CpsRxPkts.setStatus('current') pdn_cp_iwf_aal2_cps_tx_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 2), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnCpIwfAal2CpsTxPkts.setStatus('current') pdn_cp_iwf_aal2_cps_parity_errors = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 3), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnCpIwfAal2CpsParityErrors.setStatus('current') pdn_cp_iwf_aal2_cps_seq_num_errors = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 4), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnCpIwfAal2CpsSeqNumErrors.setStatus('current') pdn_cp_iwf_aal2_cps_osf_mismatch_errors = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 5), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnCpIwfAal2CpsOsfMismatchErrors.setStatus('current') pdn_cp_iwf_aal2_cps_osf_errors = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 6), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnCpIwfAal2CpsOsfErrors.setStatus('current') pdn_cp_iwf_aal2_cps_hec_errors = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 7), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnCpIwfAal2CpsHecErrors.setStatus('current') pdn_cp_iwf_aal2_cps_oversize_sdu_errors = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 8), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnCpIwfAal2CpsOversizeSduErrors.setStatus('current') pdn_cp_iwf_aal2_cps_reassembly_errors = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 9), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnCpIwfAal2CpsReassemblyErrors.setStatus('current') pdn_cp_iwf_aal2_cps_hec_overlap_errors = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 10), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnCpIwfAal2CpsHecOverlapErrors.setStatus('current') pdn_cp_iwf_aal2_cps_uui_errors = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 11), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnCpIwfAal2CpsUuiErrors.setStatus('current') pdn_cp_iwf_aal2_cps_cid_errors = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 12), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnCpIwfAal2CpsCidErrors.setStatus('current') pdn_pots_port_stats_table = mib_table((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2)) if mibBuilder.loadTexts: pdnPotsPortStatsTable.setStatus('current') pdn_pots_port_stats_entry = mib_table_row((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex')) if mibBuilder.loadTexts: pdnPotsPortStatsEntry.setStatus('current') pdn_pots_port_total_calls = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 1), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnPotsPortTotalCalls.setStatus('current') pdn_pots_port_total_calls_failure = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 2), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnPotsPortTotalCallsFailure.setStatus('current') pdn_pots_port_total_calls_dropped = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 3), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnPotsPortTotalCallsDropped.setStatus('current') pdn_pots_port_in_calls_received = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 4), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnPotsPortInCallsReceived.setStatus('current') pdn_pots_port_in_calls_answered = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 5), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnPotsPortInCallsAnswered.setStatus('current') pdn_pots_port_in_calls_connected = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 6), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnPotsPortInCallsConnected.setStatus('current') pdn_pots_port_in_calls_failure = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 7), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnPotsPortInCallsFailure.setStatus('current') pdn_pots_port_out_calls_attempted = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 8), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnPotsPortOutCallsAttempted.setStatus('current') pdn_pots_port_out_calls_answered = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 9), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnPotsPortOutCallsAnswered.setStatus('current') pdn_pots_port_out_calls_connected = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 10), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnPotsPortOutCallsConnected.setStatus('current') pdn_pots_port_out_calls_failure = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 11), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnPotsPortOutCallsFailure.setStatus('current') pdn_pots_port_packets_sent = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 12), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnPotsPortPacketsSent.setStatus('current') pdn_pots_port_packets_received = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 13), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnPotsPortPacketsReceived.setStatus('current') pdn_pots_port_packets_lost = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 14), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnPotsPortPacketsLost.setStatus('current') pdn_pots_port_bytes_sent = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 15), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnPotsPortBytesSent.setStatus('current') pdn_pots_port_bytes_received = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 16), counter32()).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnPotsPortBytesReceived.setStatus('current') pdn_pots_test_table = mib_table((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 2, 1)) if mibBuilder.loadTexts: pdnPotsTestTable.setStatus('current') pdn_pots_test_entry = mib_table_row((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 2, 1, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex')) if mibBuilder.loadTexts: pdnPotsTestEntry.setStatus('current') pdn_pots_test_type = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 2, 1, 1, 1), pdn_pots_test_types()).setMaxAccess('readwrite') if mibBuilder.loadTexts: pdnPotsTestType.setStatus('current') pdn_pots_test_cmd = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 2, 1, 1, 2), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4))).clone(namedValues=named_values(('noOp', 1), ('start', 2), ('stop', 3), ('keepAlive', 4)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: pdnPotsTestCmd.setStatus('current') pdn_pots_test_status = mib_table_column((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 2, 1, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('active', 1), ('inactive', 2)))).setMaxAccess('readonly') if mibBuilder.loadTexts: pdnPotsTestStatus.setStatus('current') pdn_cp_iwf_mib_compliances = mib_identifier((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 1)) pdn_cp_iwf_mib_groups = mib_identifier((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2)) pdn_cp_iwf_mib_compliance = module_compliance((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 1, 1)).setObjects(('PDN-CP-IWF-MIB', 'pdnCpIwfGeneralConfigGroup'), ('PDN-CP-IWF-MIB', 'pdnCpIwfPotsPortConfigGroup'), ('PDN-CP-IWF-MIB', 'pdnCpIwfAal2StatsGroup'), ('PDN-CP-IWF-MIB', 'pdnCpIwfPotsPortStatsGroup')) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdn_cp_iwf_mib_compliance = pdnCpIwfMIBCompliance.setStatus('deprecated') pdn_cp_iwf_mib_compliance_v2 = module_compliance((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 1, 2)).setObjects(('PDN-CP-IWF-MIB', 'pdnCpIwfGeneralConfigGroupV2'), ('PDN-CP-IWF-MIB', 'pdnCpIwfIADConfigGroupV2'), ('PDN-CP-IWF-MIB', 'pdnCpIwfAal2StatsGroup'), ('PDN-CP-IWF-MIB', 'pdnCpIwfPotsPortStatsGroupV2'), ('PDN-CP-IWF-MIB', 'pdnCpIwfPotsPortConfigGroupV2'), ('PDN-CP-IWF-MIB', 'pdnCpIwfPotsPortTestGroupV2')) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdn_cp_iwf_mib_compliance_v2 = pdnCpIwfMIBComplianceV2.setStatus('deprecated') pdn_cp_iwf_mib_compliance_v3 = module_compliance((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 1, 3)).setObjects(('PDN-CP-IWF-MIB', 'pdnCpIwfGeneralConfigGroupV2'), ('PDN-CP-IWF-MIB', 'pdnCpIwfIADConfigGroupV3'), ('PDN-CP-IWF-MIB', 'pdnCpIwfAal2StatsGroup'), ('PDN-CP-IWF-MIB', 'pdnCpIwfPotsPortStatsGroupV2'), ('PDN-CP-IWF-MIB', 'pdnCpIwfPotsPortConfigGroupV2'), ('PDN-CP-IWF-MIB', 'pdnCpIwfPotsPortTestGroupV2'), ('PDN-CP-IWF-MIB', 'pdnCpIwfPotsPortPacketStatsGroup')) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdn_cp_iwf_mib_compliance_v3 = pdnCpIwfMIBComplianceV3.setStatus('current') pdn_cp_iwf_general_config_group = object_group((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 1)).setObjects(('PDN-CP-IWF-MIB', 'pdnCpIwfTotalNumber'), ('PDN-CP-IWF-MIB', 'pdnCpIwfIndexNext'), ('PDN-CP-IWF-MIB', 'pdnCpIwfRegion'), ('PDN-CP-IWF-MIB', 'pdnCpIwfIfIndex'), ('PDN-CP-IWF-MIB', 'pdnCpIwfRowStatus'), ('PDN-CP-IWF-MIB', 'pdnCpIwfNumPotsAssigned'), ('PDN-CP-IWF-MIB', 'pdnCpIwfGatewayProtocol'), ('PDN-CP-IWF-MIB', 'pdnCpIwfAtmBLESCapability'), ('PDN-CP-IWF-MIB', 'pdnCpIwfSscsPredefinedProfile'), ('PDN-CP-IWF-MIB', 'pdnCpIwfMappingIndex')) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdn_cp_iwf_general_config_group = pdnCpIwfGeneralConfigGroup.setStatus('deprecated') pdn_cp_iwf_pots_port_config_group = object_group((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 2)).setObjects(('PDN-CP-IWF-MIB', 'pdnPotsPortCpIwfIndex'), ('PDN-CP-IWF-MIB', 'pdnPotsPortHookStatus'), ('PDN-CP-IWF-MIB', 'pdnPotsPortSignalingMethod'), ('PDN-CP-IWF-MIB', 'pdnPotsPortTxGain'), ('PDN-CP-IWF-MIB', 'pdnPotsPortRxGain')) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdn_cp_iwf_pots_port_config_group = pdnCpIwfPotsPortConfigGroup.setStatus('deprecated') pdn_cp_iwf_aal2_stats_group = object_group((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 3)).setObjects(('PDN-CP-IWF-MIB', 'pdnCpIwfAal2CpsRxPkts'), ('PDN-CP-IWF-MIB', 'pdnCpIwfAal2CpsTxPkts'), ('PDN-CP-IWF-MIB', 'pdnCpIwfAal2CpsParityErrors'), ('PDN-CP-IWF-MIB', 'pdnCpIwfAal2CpsSeqNumErrors'), ('PDN-CP-IWF-MIB', 'pdnCpIwfAal2CpsOsfMismatchErrors'), ('PDN-CP-IWF-MIB', 'pdnCpIwfAal2CpsOsfErrors'), ('PDN-CP-IWF-MIB', 'pdnCpIwfAal2CpsHecErrors'), ('PDN-CP-IWF-MIB', 'pdnCpIwfAal2CpsOversizeSduErrors'), ('PDN-CP-IWF-MIB', 'pdnCpIwfAal2CpsReassemblyErrors'), ('PDN-CP-IWF-MIB', 'pdnCpIwfAal2CpsHecOverlapErrors'), ('PDN-CP-IWF-MIB', 'pdnCpIwfAal2CpsUuiErrors'), ('PDN-CP-IWF-MIB', 'pdnCpIwfAal2CpsCidErrors')) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdn_cp_iwf_aal2_stats_group = pdnCpIwfAal2StatsGroup.setStatus('current') pdn_cp_iwf_pots_port_stats_group = object_group((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 4)).setObjects(('PDN-CP-IWF-MIB', 'pdnPotsPortTotalCalls')) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdn_cp_iwf_pots_port_stats_group = pdnCpIwfPotsPortStatsGroup.setStatus('deprecated') pdn_cp_iwf_general_config_group_v2 = object_group((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 5)).setObjects(('PDN-CP-IWF-MIB', 'pdnCpIwfTotalNumber'), ('PDN-CP-IWF-MIB', 'pdnCpIwfIndexNext'), ('PDN-CP-IWF-MIB', 'pdnCpIwfRegion')) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdn_cp_iwf_general_config_group_v2 = pdnCpIwfGeneralConfigGroupV2.setStatus('current') pdn_cp_iwf_iad_config_group_v2 = object_group((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 6)).setObjects(('PDN-CP-IWF-MIB', 'pdnCpIwfIfIndex'), ('PDN-CP-IWF-MIB', 'pdnCpIwfRowStatus'), ('PDN-CP-IWF-MIB', 'pdnCpIwfNumPotsAssigned'), ('PDN-CP-IWF-MIB', 'pdnCpIwfGatewayProtocol'), ('PDN-CP-IWF-MIB', 'pdnCpIwfAtmBLESCapability'), ('PDN-CP-IWF-MIB', 'pdnCpIwfSscsPredefinedProfile'), ('PDN-CP-IWF-MIB', 'pdnCpIwfMappingIndex')) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdn_cp_iwf_iad_config_group_v2 = pdnCpIwfIADConfigGroupV2.setStatus('current') pdn_cp_iwf_pots_port_stats_group_v2 = object_group((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 7)).setObjects(('PDN-CP-IWF-MIB', 'pdnPotsPortTotalCalls'), ('PDN-CP-IWF-MIB', 'pdnPotsPortTotalCallsFailure'), ('PDN-CP-IWF-MIB', 'pdnPotsPortTotalCallsDropped'), ('PDN-CP-IWF-MIB', 'pdnPotsPortInCallsReceived'), ('PDN-CP-IWF-MIB', 'pdnPotsPortInCallsAnswered'), ('PDN-CP-IWF-MIB', 'pdnPotsPortInCallsConnected'), ('PDN-CP-IWF-MIB', 'pdnPotsPortInCallsFailure'), ('PDN-CP-IWF-MIB', 'pdnPotsPortOutCallsAttempted'), ('PDN-CP-IWF-MIB', 'pdnPotsPortOutCallsAnswered'), ('PDN-CP-IWF-MIB', 'pdnPotsPortOutCallsConnected'), ('PDN-CP-IWF-MIB', 'pdnPotsPortOutCallsFailure'), ('PDN-CP-IWF-MIB', 'pdnPotsPortPacketsSent'), ('PDN-CP-IWF-MIB', 'pdnPotsPortPacketsReceived'), ('PDN-CP-IWF-MIB', 'pdnPotsPortPacketsLost'), ('PDN-CP-IWF-MIB', 'pdnPotsPortBytesSent'), ('PDN-CP-IWF-MIB', 'pdnPotsPortBytesReceived')) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdn_cp_iwf_pots_port_stats_group_v2 = pdnCpIwfPotsPortStatsGroupV2.setStatus('current') pdn_cp_iwf_pots_port_config_group_v2 = object_group((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 8)).setObjects(('PDN-CP-IWF-MIB', 'pdnPotsPortCpIwfIndex'), ('PDN-CP-IWF-MIB', 'pdnPotsPortHookStatus'), ('PDN-CP-IWF-MIB', 'pdnPotsPortSignalingMethod'), ('PDN-CP-IWF-MIB', 'pdnPotsPortTxGain'), ('PDN-CP-IWF-MIB', 'pdnPotsPortRxGain'), ('PDN-CP-IWF-MIB', 'pdnPotsPortCustInfo'), ('PDN-CP-IWF-MIB', 'pdnPotsPortG729VoiceCodec'), ('PDN-CP-IWF-MIB', 'pdnPotsPortPreferedVoiceCodec'), ('PDN-CP-IWF-MIB', 'pdnPotsPortPreferredPacketPeriod'), ('PDN-CP-IWF-MIB', 'pdnPotsPortSilenceSuppression'), ('PDN-CP-IWF-MIB', 'pdnPotsPortActualVoiceCodec'), ('PDN-CP-IWF-MIB', 'pdnPotsPortCallElapsedTime'), ('PDN-CP-IWF-MIB', 'pdnPotsPortModemDetected'), ('PDN-CP-IWF-MIB', 'pdnPotsPortEchoCanceller'), ('PDN-CP-IWF-MIB', 'pdnPotsPortLocalEndName'), ('PDN-CP-IWF-MIB', 'pdnPotsPortActiveSoftswitch')) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdn_cp_iwf_pots_port_config_group_v2 = pdnCpIwfPotsPortConfigGroupV2.setStatus('current') pdn_cp_iwf_pots_port_test_group_v2 = object_group((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 9)).setObjects(('PDN-CP-IWF-MIB', 'pdnPotsTestType'), ('PDN-CP-IWF-MIB', 'pdnPotsTestCmd'), ('PDN-CP-IWF-MIB', 'pdnPotsTestStatus')) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdn_cp_iwf_pots_port_test_group_v2 = pdnCpIwfPotsPortTestGroupV2.setStatus('current') pdn_cp_iwf_iad_config_group_v3 = object_group((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 10)).setObjects(('PDN-CP-IWF-MIB', 'pdnCpIwfIfIndex'), ('PDN-CP-IWF-MIB', 'pdnCpIwfRowStatus'), ('PDN-CP-IWF-MIB', 'pdnCpIwfNumPotsAssigned'), ('PDN-CP-IWF-MIB', 'pdnCpIwfGatewayProtocol'), ('PDN-CP-IWF-MIB', 'pdnCpIwfAtmBLESCapability'), ('PDN-CP-IWF-MIB', 'pdnCpIwfSscsPredefinedProfile'), ('PDN-CP-IWF-MIB', 'pdnCpIwfJitterBufferLength'), ('PDN-CP-IWF-MIB', 'pdnCpIwfMappingIndex')) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdn_cp_iwf_iad_config_group_v3 = pdnCpIwfIADConfigGroupV3.setStatus('current') pdn_cp_iwf_pots_port_packet_stats_group = object_group((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 11)).setObjects(('PDN-CP-IWF-MIB', 'pdnPotsPortPacketsSent'), ('PDN-CP-IWF-MIB', 'pdnPotsPortPacketsReceived'), ('PDN-CP-IWF-MIB', 'pdnPotsPortPacketsLost'), ('PDN-CP-IWF-MIB', 'pdnPotsPortBytesSent'), ('PDN-CP-IWF-MIB', 'pdnPotsPortBytesReceived')) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdn_cp_iwf_pots_port_packet_stats_group = pdnCpIwfPotsPortPacketStatsGroup.setStatus('current') mibBuilder.exportSymbols('PDN-CP-IWF-MIB', CpIwfRegion=CpIwfRegion, pdnCpIwfIndex=pdnCpIwfIndex, pdnPotsPortStatsTable=pdnPotsPortStatsTable, pdnCpIwfNumPotsAssigned=pdnCpIwfNumPotsAssigned, pdnPotsPortInCallsConnected=pdnPotsPortInCallsConnected, pdnCpIwfMIBGroups=pdnCpIwfMIBGroups, GatewayProtocol=GatewayProtocol, pdnPotsTestEntry=pdnPotsTestEntry, pdnCpIwfTable=pdnCpIwfTable, pdnCpIwfNotifications=pdnCpIwfNotifications, pdnCpIwfAal2StatsTable=pdnCpIwfAal2StatsTable, pdnPotsPortSignalingMethod=pdnPotsPortSignalingMethod, pdnCpIwfAal2CpsUuiErrors=pdnCpIwfAal2CpsUuiErrors, pdnCpIwfJitterBufferLength=pdnCpIwfJitterBufferLength, PYSNMP_MODULE_ID=pdnCpIwfMIB, pdnCpIwfPotsPortConfigGroupV2=pdnCpIwfPotsPortConfigGroupV2, pdnPotsPortOutCallsFailure=pdnPotsPortOutCallsFailure, pdnPotsPortEntry=pdnPotsPortEntry, pdnCpIwfMIBCompliances=pdnCpIwfMIBCompliances, pdnCpIwfAtmBLESCapability=pdnCpIwfAtmBLESCapability, pdnPotsPortPreferedVoiceCodec=pdnPotsPortPreferedVoiceCodec, pdnPotsPortInCallsFailure=pdnPotsPortInCallsFailure, pdnPotsPortLocalEndName=pdnPotsPortLocalEndName, pdnCpIwfMIBComplianceV3=pdnCpIwfMIBComplianceV3, pdnCpIwfStatsObjects=pdnCpIwfStatsObjects, pdnPotsPortTxGain=pdnPotsPortTxGain, pdnPotsPortBytesSent=pdnPotsPortBytesSent, ControlProtocol=ControlProtocol, pdnPotsPortOutCallsAttempted=pdnPotsPortOutCallsAttempted, pdnPotsPortTotalCalls=pdnPotsPortTotalCalls, pdnPotsPortOutCallsConnected=pdnPotsPortOutCallsConnected, pdnCpIwfPotsPortStatsGroupV2=pdnCpIwfPotsPortStatsGroupV2, pdnCpIwfRowStatus=pdnCpIwfRowStatus, pdnPotsPortTable=pdnPotsPortTable, HookState=HookState, pdnPotsPortBytesReceived=pdnPotsPortBytesReceived, pdnCpIwfTestObjects=pdnCpIwfTestObjects, pdnPotsTestType=pdnPotsTestType, pdnPotsPortStatsEntry=pdnPotsPortStatsEntry, pdnPotsPortTotalCallsFailure=pdnPotsPortTotalCallsFailure, pdnPotsPortModemDetected=pdnPotsPortModemDetected, pdnCpIwfMappingEntry=pdnCpIwfMappingEntry, pdnCpIwfRegion=pdnCpIwfRegion, pdnPotsPortEchoCanceller=pdnPotsPortEchoCanceller, pdnCpIwfGeneralConfigGroup=pdnCpIwfGeneralConfigGroup, pdnCpIwfPotsPortStatsGroup=pdnCpIwfPotsPortStatsGroup, pdnCpIwfAal2CpsOsfErrors=pdnCpIwfAal2CpsOsfErrors, pdnCpIwfAal2CpsParityErrors=pdnCpIwfAal2CpsParityErrors, pdnCpIwfMIB=pdnCpIwfMIB, pdnCpIwfIADConfigGroupV2=pdnCpIwfIADConfigGroupV2, pdnPotsPortActualVoiceCodec=pdnPotsPortActualVoiceCodec, pdnPotsPortOutCallsAnswered=pdnPotsPortOutCallsAnswered, pdnCpIwfAal2CpsOversizeSduErrors=pdnCpIwfAal2CpsOversizeSduErrors, pdnCpIwfAal2CpsReassemblyErrors=pdnCpIwfAal2CpsReassemblyErrors, pdnCpIwfTotalNumber=pdnCpIwfTotalNumber, pdnPotsPortActiveSoftswitch=pdnPotsPortActiveSoftswitch, pdnPotsPortPacketsLost=pdnPotsPortPacketsLost, pdnCpIwfPotsPortTestGroupV2=pdnCpIwfPotsPortTestGroupV2, pdnPotsPortSilenceSuppression=pdnPotsPortSilenceSuppression, pdnCpIwfMappingIndex=pdnCpIwfMappingIndex, pdnCpIwfAal2CpsHecOverlapErrors=pdnCpIwfAal2CpsHecOverlapErrors, pdnCpIwfSscsPredefinedProfile=pdnCpIwfSscsPredefinedProfile, pdnPotsPortPreferredPacketPeriod=pdnPotsPortPreferredPacketPeriod, pdnCpIwfPotsPortPacketStatsGroup=pdnCpIwfPotsPortPacketStatsGroup, pdnPotsPortIfIndex=pdnPotsPortIfIndex, pdnPotsPortTotalCallsDropped=pdnPotsPortTotalCallsDropped, pdnCpIwfMappingTable=pdnCpIwfMappingTable, pdnCpIwfConfigObjects=pdnCpIwfConfigObjects, pdnCpIwfGeneralConfigGroupV2=pdnCpIwfGeneralConfigGroupV2, PdnPotsTestTypes=PdnPotsTestTypes, pdnCpIwfEntry=pdnCpIwfEntry, pdnCpIwfAal2CpsSeqNumErrors=pdnCpIwfAal2CpsSeqNumErrors, pdnPotsPortCustInfo=pdnPotsPortCustInfo, pdnPotsTestTable=pdnPotsTestTable, pdnCpIwfGatewayProtocol=pdnCpIwfGatewayProtocol, pdnCpIwfAal2CpsHecErrors=pdnCpIwfAal2CpsHecErrors, PotsSignaling=PotsSignaling, pdnCpIwfAal2CpsOsfMismatchErrors=pdnCpIwfAal2CpsOsfMismatchErrors, pdnPotsPortInCallsReceived=pdnPotsPortInCallsReceived, pdnPotsPortHookStatus=pdnPotsPortHookStatus, pdnCpIwfMIBComplianceV2=pdnCpIwfMIBComplianceV2, pdnCpIwfIndexNext=pdnCpIwfIndexNext, pdnCpIwfAal2StatsGroup=pdnCpIwfAal2StatsGroup, pdnCpIwfAal2CpsTxPkts=pdnCpIwfAal2CpsTxPkts, pdnPotsTestStatus=pdnPotsTestStatus, pdnCpIwfMIBCompliance=pdnCpIwfMIBCompliance, pdnPotsPortPacketsReceived=pdnPotsPortPacketsReceived, pdnCpIwfIfIndex=pdnCpIwfIfIndex, pdnPotsPortCallElapsedTime=pdnPotsPortCallElapsedTime, pdnCpIwfPotsPortConfigGroup=pdnCpIwfPotsPortConfigGroup, pdnCpIwfMIBConformance=pdnCpIwfMIBConformance, VoiceEncoding=VoiceEncoding, pdnPotsPortPacketsSent=pdnPotsPortPacketsSent, pdnCpIwfAal2StatsEntry=pdnCpIwfAal2StatsEntry, pdnPotsPortG729VoiceCodec=pdnPotsPortG729VoiceCodec, pdnCpIwfMIBObjects=pdnCpIwfMIBObjects, pdnPotsPortInCallsAnswered=pdnPotsPortInCallsAnswered, pdnPotsTestCmd=pdnPotsTestCmd, pdnCpIwfAal2CpsRxPkts=pdnCpIwfAal2CpsRxPkts, pdnCpIwfAal2CpsCidErrors=pdnCpIwfAal2CpsCidErrors, pdnPotsPortRxGain=pdnPotsPortRxGain, pdnCpIwfIADConfigGroupV3=pdnCpIwfIADConfigGroupV3, pdnPotsPortCpIwfIndex=pdnPotsPortCpIwfIndex)
# -*- coding: utf-8 -*- class StringMutations: @classmethod def _list_shift(cls, l, n): return l[n:] + l[:n] @classmethod def length(cls, mutation, value, story, line, operator, operand): return len(value) @classmethod def replace(cls, mutation, value, story, line, operator, operand): new_val = story.argument_by_name(mutation, 'with') return value.replace(operand, new_val) @classmethod def split(cls, mutation, value, story, line, operator, operand): return value.split(operand) @classmethod def uppercase(cls, mutation, value, story, line, operator, operand): return value.upper() @classmethod def lowercase(cls, mutation, value, story, line, operator, operand): return value.lower()
class Stringmutations: @classmethod def _list_shift(cls, l, n): return l[n:] + l[:n] @classmethod def length(cls, mutation, value, story, line, operator, operand): return len(value) @classmethod def replace(cls, mutation, value, story, line, operator, operand): new_val = story.argument_by_name(mutation, 'with') return value.replace(operand, new_val) @classmethod def split(cls, mutation, value, story, line, operator, operand): return value.split(operand) @classmethod def uppercase(cls, mutation, value, story, line, operator, operand): return value.upper() @classmethod def lowercase(cls, mutation, value, story, line, operator, operand): return value.lower()
# Copyright 2016 Cisco Systems, Inc. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. # class Encaps(object): VLAN = "VLAN" VxLAN = "VxLAN" MPLS = "MPLS" NO_ENCAPS = "NONE" encaps_mapping = { 'VLAN': VLAN, 'VXLAN': VxLAN, 'MPLS': MPLS, 'NONE': NO_ENCAPS } @classmethod def get(cls, network_type): return cls.encaps_mapping.get(network_type.upper(), None) class ChainType(object): PVP = "PVP" PVVP = "PVVP" EXT = "EXT" names = [EXT, PVP, PVVP] class OpenStackSpec(object): def __init__(self): self.__vswitch = "BASIC" self.__encaps = Encaps.NO_ENCAPS @property def vswitch(self): return self.__vswitch @vswitch.setter def vswitch(self, vsw): if vsw is None: raise Exception('Trying to set vSwitch as None.') self.__vswitch = vsw.upper() @property def encaps(self): return self.__encaps @encaps.setter def encaps(self, enc): if enc is None: raise Exception('Trying to set Encaps as None.') self.__encaps = enc class RunSpec(object): def __init__(self, no_vswitch_access, openstack_spec): self.use_vswitch = (not no_vswitch_access) and openstack_spec \ and openstack_spec.vswitch != "BASIC" class Specs(object): def __init__(self): self.openstack = None self.run_spec = None def set_openstack_spec(self, openstack_spec): self.openstack = openstack_spec def set_run_spec(self, run_spec): self.run_spec = run_spec
class Encaps(object): vlan = 'VLAN' vx_lan = 'VxLAN' mpls = 'MPLS' no_encaps = 'NONE' encaps_mapping = {'VLAN': VLAN, 'VXLAN': VxLAN, 'MPLS': MPLS, 'NONE': NO_ENCAPS} @classmethod def get(cls, network_type): return cls.encaps_mapping.get(network_type.upper(), None) class Chaintype(object): pvp = 'PVP' pvvp = 'PVVP' ext = 'EXT' names = [EXT, PVP, PVVP] class Openstackspec(object): def __init__(self): self.__vswitch = 'BASIC' self.__encaps = Encaps.NO_ENCAPS @property def vswitch(self): return self.__vswitch @vswitch.setter def vswitch(self, vsw): if vsw is None: raise exception('Trying to set vSwitch as None.') self.__vswitch = vsw.upper() @property def encaps(self): return self.__encaps @encaps.setter def encaps(self, enc): if enc is None: raise exception('Trying to set Encaps as None.') self.__encaps = enc class Runspec(object): def __init__(self, no_vswitch_access, openstack_spec): self.use_vswitch = not no_vswitch_access and openstack_spec and (openstack_spec.vswitch != 'BASIC') class Specs(object): def __init__(self): self.openstack = None self.run_spec = None def set_openstack_spec(self, openstack_spec): self.openstack = openstack_spec def set_run_spec(self, run_spec): self.run_spec = run_spec
# Given an list , use bucket sort to sort the elements of the list and return # Input: [1, 2, 4, 3, 5] # Output: [1, 2, 3, 4, 5] # divide the elements into several lists known as buckets # loop through each buckets and sort them(insertion/quick sort) # return each element of the buckets since they would be sorted already # when the number of elements in each bucket is 1 the time complexity practically becomes n # very fast when the difference of elements in a list is small but with a loss at space complexity def do_bucket_sort(nums: list) -> list: buckets = [] list_len = len(nums) nums_indx = 0 for i in range(list_len+1): buckets.append([]) for i in nums: buckets[i].append(i) buckets[i].sort() for bucket in buckets: for el in bucket: nums[nums_indx] = el nums_indx += 1 return nums def main(): example_list = [1, 2, 4, 3, 5] print(do_bucket_sort(example_list)) if __name__ == "__main__": main()
def do_bucket_sort(nums: list) -> list: buckets = [] list_len = len(nums) nums_indx = 0 for i in range(list_len + 1): buckets.append([]) for i in nums: buckets[i].append(i) buckets[i].sort() for bucket in buckets: for el in bucket: nums[nums_indx] = el nums_indx += 1 return nums def main(): example_list = [1, 2, 4, 3, 5] print(do_bucket_sort(example_list)) if __name__ == '__main__': main()
class A: def __repr__(self): True a = A() print(a.__repr__()) # ok print(repr(a)) # fail
class A: def __repr__(self): True a = a() print(a.__repr__()) print(repr(a))
# Declaring a list L = [1, "a" , "string" , 1+2] print (L) L.append(6) print (L) L.pop() print (L) print (L[1])
l = [1, 'a', 'string', 1 + 2] print(L) L.append(6) print(L) L.pop() print(L) print(L[1])
def func(a, b, *args, **kwargs): print(a, b) for arg in args: print(arg) for key, val in kwargs.items(): print (key, val) def func2(a, b, c=30, d=40, **kwargs): print(a, b) print(c, d) for key, val in kwargs.items(): print (key, val) def func3(a, b, c=100, d=200): print(a, b) print(c, d) a = 1 b = 2 c = 3 d = 4 e = {'k1': 10, 'k2':20} print ('w/o args/kwargs') func(a, b) print ('w/ args') func(a, b, (c, d)) print ('w/ *args and kwargs') func(a, b, *(c, d), e) print ('w/ *args and **kwargs') func(a, b, *(c, d), **e) print ('w/ **kwargs') f = {'d': d, 'c': c} f.update(e) func(a, b, **f) print ('func2 w/ **kwargs') f = {'d': d, 'c': c} f.update(e) func2(a, b, **f) print ('func2 w/ **kwargs') #f = {'d': d, 'c': c} f = {} f.update(e) func2(a, b, **f) print ('func3 w/ ') func3(a, b, c, d, **{})
def func(a, b, *args, **kwargs): print(a, b) for arg in args: print(arg) for (key, val) in kwargs.items(): print(key, val) def func2(a, b, c=30, d=40, **kwargs): print(a, b) print(c, d) for (key, val) in kwargs.items(): print(key, val) def func3(a, b, c=100, d=200): print(a, b) print(c, d) a = 1 b = 2 c = 3 d = 4 e = {'k1': 10, 'k2': 20} print('w/o args/kwargs') func(a, b) print('w/ args') func(a, b, (c, d)) print('w/ *args and kwargs') func(a, b, *(c, d), e) print('w/ *args and **kwargs') func(a, b, *(c, d), **e) print('w/ **kwargs') f = {'d': d, 'c': c} f.update(e) func(a, b, **f) print('func2 w/ **kwargs') f = {'d': d, 'c': c} f.update(e) func2(a, b, **f) print('func2 w/ **kwargs') f = {} f.update(e) func2(a, b, **f) print('func3 w/ ') func3(a, b, c, d, **{})
__title__ = 'hrflow' __description__ = 'Python hrflow.ai API package' __url__ = 'https://github.com/hrflow/python-hrflow-api' __version__ = '1.9.0' __author__ = 'HrFlow.ai' __author_email__ = 'contact@hrflow.ai' __license__ = 'MIT'
__title__ = 'hrflow' __description__ = 'Python hrflow.ai API package' __url__ = 'https://github.com/hrflow/python-hrflow-api' __version__ = '1.9.0' __author__ = 'HrFlow.ai' __author_email__ = 'contact@hrflow.ai' __license__ = 'MIT'
dummy_registry = {} def dummy_register(name, value): dummy_registry[name] = value return value
dummy_registry = {} def dummy_register(name, value): dummy_registry[name] = value return value
# # Copyright (C) 2020 Square, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except # in compliance with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software distributed under the License # is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express # or implied. See the License for the specific language governing permissions and limitations under # the License. # Description: # Common utilities to make code a little cleaner. def _java_executable(ctx): java_home = ctx.os.environ.get("JAVA_HOME") if java_home != None: java = ctx.path(java_home + "/bin/java") return java elif ctx.which("java") != None: return ctx.which("java") fail("Cannot obtain java binary") def _exec_jar(root, label): return "%s/../%s/%s/%s" % (root, label.workspace_name, label.package, label.name) exec = struct( java_bin = _java_executable, exec_jar = _exec_jar, )
def _java_executable(ctx): java_home = ctx.os.environ.get('JAVA_HOME') if java_home != None: java = ctx.path(java_home + '/bin/java') return java elif ctx.which('java') != None: return ctx.which('java') fail('Cannot obtain java binary') def _exec_jar(root, label): return '%s/../%s/%s/%s' % (root, label.workspace_name, label.package, label.name) exec = struct(java_bin=_java_executable, exec_jar=_exec_jar)
# -*- coding: utf-8 -*- # @Author: jpch89 # @Email: jpch89@outlook.com # @Date: 2018-07-12 21:01:08 # @Last Modified by: jpch89 # @Last Modified time: 2018-07-12 21:07:53 people = 30 cars = 40 trucks = 15 if cars > people: print ("We should take the cars.") elif cars < people: print("We should not take the cars.") else: print("We can't decide.") if trucks > cars: print("That's too many trucks.") elif trucks < cars: print("Maybe we could take the trucks.") else: print("We still can't decide.") if people > trucks: print("Alright, let's just take the trucks.") else: print("Fine, let's stay home then.")
people = 30 cars = 40 trucks = 15 if cars > people: print('We should take the cars.') elif cars < people: print('We should not take the cars.') else: print("We can't decide.") if trucks > cars: print("That's too many trucks.") elif trucks < cars: print('Maybe we could take the trucks.') else: print("We still can't decide.") if people > trucks: print("Alright, let's just take the trucks.") else: print("Fine, let's stay home then.")
# A base sentence model for storing information related to sentences # Created by: Mark Mott class Sentence: # A single underline denotes a private method/variable. # Default is the property category def __init__(self, sentence, subject, category='Property'): self.setsentence(sentence) self.setsubject(subject) self.setcategory(category) def setsentence(self,sentence): self._sentence = sentence def getsentence(self): return self._sentence def setsubject(self,subject): self._subject = subject def getsubject(self): return self._subject def setcategory(self,category): self._category = category def getcategory(self): return self._category # Allows for Sentence models to better be turned into json def toString(self): out = { "sentence": self.getsentence(), "subject": self.getsubject(), "category": self.getcategory() } return out
class Sentence: def __init__(self, sentence, subject, category='Property'): self.setsentence(sentence) self.setsubject(subject) self.setcategory(category) def setsentence(self, sentence): self._sentence = sentence def getsentence(self): return self._sentence def setsubject(self, subject): self._subject = subject def getsubject(self): return self._subject def setcategory(self, category): self._category = category def getcategory(self): return self._category def to_string(self): out = {'sentence': self.getsentence(), 'subject': self.getsubject(), 'category': self.getcategory()} return out
# Practice debug statement print("Hello Python") a = 10 b = 5 c = a + b print("Hello Python2") print(c) c = 99 print("Hello Python3:%d", c) ##################################################### # ** operator has high precedences than * print(2**3*4) print(4*2**3) def changeVal(x): x += 2; ##################################################### def circleArea(r): pi = 3.14 area = pi * r**2 return area x = 1 changeVal(x) print(x) r = 10 area = circleArea(r) # print("Circle area=", area, " Second area", sep="|") print("Circle area=%f" % area) print ('1:\t|{0:>10},'.format('wangyu'))
print('Hello Python') a = 10 b = 5 c = a + b print('Hello Python2') print(c) c = 99 print('Hello Python3:%d', c) print(2 ** 3 * 4) print(4 * 2 ** 3) def change_val(x): x += 2 def circle_area(r): pi = 3.14 area = pi * r ** 2 return area x = 1 change_val(x) print(x) r = 10 area = circle_area(r) print('Circle area=%f' % area) print('1:\t|{0:>10},'.format('wangyu'))
_base_ = [ '../../_base_/datasets/query_aware/few_shot_coco.py', '../../_base_/schedules/schedule.py', '../attention-rpn_r50_c4.py', '../../_base_/default_runtime.py' ] # classes splits are predefined in FewShotCocoDataset # FewShotCocoDefaultDataset predefine ann_cfg for model reproducibility num_support_ways = 2 num_support_shots = 9 data = dict( train=dict( num_support_ways=num_support_ways, num_support_shots=num_support_shots, repeat_times=50, dataset=dict( type='FewShotCocoDefaultDataset', ann_cfg=[dict(method='Attention_RPN', setting='10SHOT')], num_novel_shots=10, classes='NOVEL_CLASSES', min_bbox_area=0, instance_wise=False)), val=dict(classes='NOVEL_CLASSES'), test=dict(classes='NOVEL_CLASSES'), model_init=dict(classes='NOVEL_CLASSES')) evaluation = dict(interval=3000) checkpoint_config = dict(interval=3000) optimizer = dict( lr=0.001, momentum=0.9, paramwise_cfg=dict(custom_keys={'roi_head.bbox_head': dict(lr_mult=2.0)})) lr_config = dict( warmup_iters=200, warmup_ratio=0.1, step=[ 2000, 3000, ]) log_config = dict(interval=10) runner = dict(max_iters=3000) # load_from = 'path of base training model' load_from = 'work_dirs/attention-rpn_r50_c4_4xb2_coco_base-training/latest.pth' model = dict( frozen_parameters=['backbone'], rpn_head=dict( num_support_ways=num_support_ways, num_support_shots=num_support_shots, ), roi_head=dict( num_support_ways=num_support_ways, num_support_shots=num_support_shots, ), )
_base_ = ['../../_base_/datasets/query_aware/few_shot_coco.py', '../../_base_/schedules/schedule.py', '../attention-rpn_r50_c4.py', '../../_base_/default_runtime.py'] num_support_ways = 2 num_support_shots = 9 data = dict(train=dict(num_support_ways=num_support_ways, num_support_shots=num_support_shots, repeat_times=50, dataset=dict(type='FewShotCocoDefaultDataset', ann_cfg=[dict(method='Attention_RPN', setting='10SHOT')], num_novel_shots=10, classes='NOVEL_CLASSES', min_bbox_area=0, instance_wise=False)), val=dict(classes='NOVEL_CLASSES'), test=dict(classes='NOVEL_CLASSES'), model_init=dict(classes='NOVEL_CLASSES')) evaluation = dict(interval=3000) checkpoint_config = dict(interval=3000) optimizer = dict(lr=0.001, momentum=0.9, paramwise_cfg=dict(custom_keys={'roi_head.bbox_head': dict(lr_mult=2.0)})) lr_config = dict(warmup_iters=200, warmup_ratio=0.1, step=[2000, 3000]) log_config = dict(interval=10) runner = dict(max_iters=3000) load_from = 'work_dirs/attention-rpn_r50_c4_4xb2_coco_base-training/latest.pth' model = dict(frozen_parameters=['backbone'], rpn_head=dict(num_support_ways=num_support_ways, num_support_shots=num_support_shots), roi_head=dict(num_support_ways=num_support_ways, num_support_shots=num_support_shots))
TRAINING_FILE = "../data/train_folds5.csv" MODEL_OUTPUT = "../models/" LABEL="rating_y" BEST_FEATURES = ['rating_x', 'user_id', 'members', 'episodes', 'Action', 'Drama', 'Fantasy', 'Hentai', 'Romance', 'Adventure', 'Comedy', 'School', 'Shounen', 'Supernatural', 'Kids', 'Mecha', 'Sci-Fi', 'SliceofLife', 'type_OVA', 'Demons', 'Ecchi', 'Harem', 'Horror', 'Magic', 'Mystery', 'Parody', 'Seinen', 'Shoujo', 'SuperPower', 'type_Movie', 'type_Special', 'type_TV' ] WORST_FEATURES =['Dementia', 'Game', 'Historical', 'MartialArts', 'Military', 'Music', 'Psychological', 'ShounenAi', 'Space', 'Sports', 'type_ONA', 'Josei', 'Police', 'Samurai', 'ShoujoAi', 'Thriller', 'Vampire', 'Yaoi', 'Yuri', 'type_Music', 'Cars' ] WORST_FEATURES_2 =['Dementia', 'Game', 'Historical', 'MartialArts', 'Military', 'Music', 'Psychological', 'ShounenAi', 'Space', 'Sports', 'type_ONA', 'Josei', 'Police', 'Samurai', 'ShoujoAi', 'Thriller', 'Vampire', 'Yaoi', 'Yuri', 'type_Music', 'Cars', 'Action', 'Drama', 'Fantasy', 'Hentai', 'Romance', 'Adventure', 'Comedy', 'School', 'Shounen', 'Supernatural', 'Kids', 'Mecha', 'Sci-Fi', 'SliceofLife', 'type_OVA', 'Demons', 'Ecchi', 'Harem', 'Horror', 'Magic', 'Mystery', 'Parody', 'Seinen', 'Shoujo', 'SuperPower', 'type_Movie', 'type_Special', 'type_TV' ]
training_file = '../data/train_folds5.csv' model_output = '../models/' label = 'rating_y' best_features = ['rating_x', 'user_id', 'members', 'episodes', 'Action', 'Drama', 'Fantasy', 'Hentai', 'Romance', 'Adventure', 'Comedy', 'School', 'Shounen', 'Supernatural', 'Kids', 'Mecha', 'Sci-Fi', 'SliceofLife', 'type_OVA', 'Demons', 'Ecchi', 'Harem', 'Horror', 'Magic', 'Mystery', 'Parody', 'Seinen', 'Shoujo', 'SuperPower', 'type_Movie', 'type_Special', 'type_TV'] worst_features = ['Dementia', 'Game', 'Historical', 'MartialArts', 'Military', 'Music', 'Psychological', 'ShounenAi', 'Space', 'Sports', 'type_ONA', 'Josei', 'Police', 'Samurai', 'ShoujoAi', 'Thriller', 'Vampire', 'Yaoi', 'Yuri', 'type_Music', 'Cars'] worst_features_2 = ['Dementia', 'Game', 'Historical', 'MartialArts', 'Military', 'Music', 'Psychological', 'ShounenAi', 'Space', 'Sports', 'type_ONA', 'Josei', 'Police', 'Samurai', 'ShoujoAi', 'Thriller', 'Vampire', 'Yaoi', 'Yuri', 'type_Music', 'Cars', 'Action', 'Drama', 'Fantasy', 'Hentai', 'Romance', 'Adventure', 'Comedy', 'School', 'Shounen', 'Supernatural', 'Kids', 'Mecha', 'Sci-Fi', 'SliceofLife', 'type_OVA', 'Demons', 'Ecchi', 'Harem', 'Horror', 'Magic', 'Mystery', 'Parody', 'Seinen', 'Shoujo', 'SuperPower', 'type_Movie', 'type_Special', 'type_TV']
def find_smallest_element_index(array): smallest_elem_index, smallest_elem = 0, array[0] for index in range(1,len(array)): if(smallest_elem >= array[index]): smallest_elem_index = index return smallest_elem_index #changes the original array and puts the elements in sorted order (ascending) def selection_sort(array): sorted_array = [] for i in range(len(array)): smallest_elem_index = find_smallest_element_index(array) sorted_array.append(array.pop(smallest_elem_index)) return sorted_array print(selection_sort([-1,2,0,-3,6]))
def find_smallest_element_index(array): (smallest_elem_index, smallest_elem) = (0, array[0]) for index in range(1, len(array)): if smallest_elem >= array[index]: smallest_elem_index = index return smallest_elem_index def selection_sort(array): sorted_array = [] for i in range(len(array)): smallest_elem_index = find_smallest_element_index(array) sorted_array.append(array.pop(smallest_elem_index)) return sorted_array print(selection_sort([-1, 2, 0, -3, 6]))
# A program that reads in students names # until the user enters a blank # and then prints them all out again # the program prints out all the studens names in a neat way students = [] Firstname = input("Enter Firstname (blank to quit): ").strip() while Firstname != "": student = {} student ["Firstname"] = Firstname lastname = input("Enter lastname: ").strip() student["lastname"] = lastname students.append(student) #next student Firstname = input("Enter Firstname of next (blank to quit): ").strip() print ("here are the students you entered:") for currentStudent in students: print ("{} {}".format(currentStudent["Firstname"],currentStudent ["lastname"])) #Reference: Andrew Beatty tutorial on moodle
students = [] firstname = input('Enter Firstname (blank to quit): ').strip() while Firstname != '': student = {} student['Firstname'] = Firstname lastname = input('Enter lastname: ').strip() student['lastname'] = lastname students.append(student) firstname = input('Enter Firstname of next (blank to quit): ').strip() print('here are the students you entered:') for current_student in students: print('{} {}'.format(currentStudent['Firstname'], currentStudent['lastname']))
class Command: command = "template" # command name must be the same as the file name but can have spacial characters description = "description of command" argsRequired = 1 # number of arguments needed for command usage = "<command>" # a usage example of required arguments examples = [{ 'run': "template", # what user runs 'result': "a template" # the response of the bot }] synonyms = ["tmp"] # any synonyms that will also trigger command [accepts regular expressions] async def call(self, package): # what happens once the command is executed pass
class Command: command = 'template' description = 'description of command' args_required = 1 usage = '<command>' examples = [{'run': 'template', 'result': 'a template'}] synonyms = ['tmp'] async def call(self, package): pass
''' Here is a basic example to plot a signal from an lcm message. In this example, the channel is POSE_BODY. The X coordinate is the message timestamp in microseconds, and the Y value is pos[0], or the first value of the pos array. Note, msg is a pre-defined variable that you must use in order for this to work. When you define a signal, the msg variable is used to record the attribute lookups that are required to extract the signal data from the lcm message in the future. ''' print(dir()) print(globals()) print(locals()) position_names = [ "hip_roll_left", "hip_roll_right", "hip_yaw_left", "hip_yaw_right", "hip_pitch_left", "hip_pitch_right", "knee_left", "knee_right", "toe_left", "toe_right"] velocity_names = [ "hip_roll_leftdot", "hip_roll_rightdot", "hip_yaw_leftdot", "hip_yaw_rightdot", "hip_pitch_leftdot", "hip_pitch_rightdot", "knee_leftdot", "knee_rightdot", "toe_leftdot", "toe_rightdot"] effort_names = [ "hip_roll_left_motor", "hip_roll_right_motor", "hip_yaw_left_motor", "hip_yaw_right_motor", "hip_pitch_left_motor", "hip_pitch_right_motor", "knee_left_motor", "knee_right_motor", "toe_left_motor", "toe_right_motor"] pos_names = msg.position_names vel_names = msg.velocity_names eff_names = msg.effort_names addPlot() addSignals('CASSIE_STATE_SIMULATION', msg.utime, msg.position, position_names, keyLookup=pos_names) # you can assign the plot to a variable and reference it later p=addPlot() addSignals('CASSIE_STATE_SIMULATION', msg.utime, msg.velocity, velocity_names, keyLookup=vel_names, plot=p) p3 = addPlot() addSignals('CASSIE_INPUT', msg.utime, msg.efforts, effort_names, keyLookup=eff_names, plot=p3)
""" Here is a basic example to plot a signal from an lcm message. In this example, the channel is POSE_BODY. The X coordinate is the message timestamp in microseconds, and the Y value is pos[0], or the first value of the pos array. Note, msg is a pre-defined variable that you must use in order for this to work. When you define a signal, the msg variable is used to record the attribute lookups that are required to extract the signal data from the lcm message in the future. """ print(dir()) print(globals()) print(locals()) position_names = ['hip_roll_left', 'hip_roll_right', 'hip_yaw_left', 'hip_yaw_right', 'hip_pitch_left', 'hip_pitch_right', 'knee_left', 'knee_right', 'toe_left', 'toe_right'] velocity_names = ['hip_roll_leftdot', 'hip_roll_rightdot', 'hip_yaw_leftdot', 'hip_yaw_rightdot', 'hip_pitch_leftdot', 'hip_pitch_rightdot', 'knee_leftdot', 'knee_rightdot', 'toe_leftdot', 'toe_rightdot'] effort_names = ['hip_roll_left_motor', 'hip_roll_right_motor', 'hip_yaw_left_motor', 'hip_yaw_right_motor', 'hip_pitch_left_motor', 'hip_pitch_right_motor', 'knee_left_motor', 'knee_right_motor', 'toe_left_motor', 'toe_right_motor'] pos_names = msg.position_names vel_names = msg.velocity_names eff_names = msg.effort_names add_plot() add_signals('CASSIE_STATE_SIMULATION', msg.utime, msg.position, position_names, keyLookup=pos_names) p = add_plot() add_signals('CASSIE_STATE_SIMULATION', msg.utime, msg.velocity, velocity_names, keyLookup=vel_names, plot=p) p3 = add_plot() add_signals('CASSIE_INPUT', msg.utime, msg.efforts, effort_names, keyLookup=eff_names, plot=p3)
# 001110010 prev = 0 cur = 0 # 0 01110010 prev = 0 cur = 1 # 0 0 1110010 prev = 0 cur = 2 # 00 1 110010 prev = 2 cur = 1 01 # 001 1 10010 prev = 2 cur = 2 0011 # 0011 1 0010 prev = 2 cur = 3 # 00111 0 010 prev = 3 cur = 1 10 # 001110 0 10 prev = 3 cur = 2 1100 # 0011100 1 0 prev = 2 cur = 1 01 # 00111001 0 prev = 1 cur = 1 10 # https://www.polarxiong.com/archives/LeetCode-696-count-binary-substrings.html class Solution: def countBinarySubstrings(self, s: str) -> int: prevlen, curlen, ans = 0, 0, 0 for i in range(len(s)): if s[i] == s[i-1]: curlen += 1 else: prevlen = curlen curlen = 1 if prevlen >= curlen: ans += 1 return ans
class Solution: def count_binary_substrings(self, s: str) -> int: (prevlen, curlen, ans) = (0, 0, 0) for i in range(len(s)): if s[i] == s[i - 1]: curlen += 1 else: prevlen = curlen curlen = 1 if prevlen >= curlen: ans += 1 return ans
class GuidanceRejectionException(Exception): _MSG = "Unit tests should not write files unless they clean them up too." def __init__(self): super(GuidanceRejectionException, self).__init__(GuidanceRejectionException._MSG)
class Guidancerejectionexception(Exception): _msg = 'Unit tests should not write files unless they clean them up too.' def __init__(self): super(GuidanceRejectionException, self).__init__(GuidanceRejectionException._MSG)
equipmentMultipliers = [ {"hp": 10}, {"hp": 20}, {"hp": 30}, {"hp": 40}, {"sp": 10}, {"sp": 20}, {"sp": 30}, {"sp": 40}, {"tp": 2}, {"tp": 4}, {"tp": 6}, {"tp": 8}, {"atk": 10}, {"atk": 20}, {"atk": 30}, {"atk": 40}, {"def": 10}, {"def": 20}, {"def": 30}, {"def": 40}, {"mag": 10}, {"mag": 20}, {"mag": 30}, {"mag": 40}, {"mnd": 10}, {"mnd": 20}, {"mnd": 30}, {"mnd": 40}, {"spd": 10}, {"spd": 20}, {"spd": 30}, {"spd": 40}, {"eva": 10}, {"eva": 20}, {"eva": 30}, {"eva": 40}, {"mnd": 8, "ntr": 36}, {"rec": 4, "ntr": 48}, {"def": 6, "cld": 48}, {"atk": 10, "mag": 10, "fir": 48}, {"fir": 80, "cld": 80}, {"fir": 128}, {"wnd": 128}, {"cld": 128}, {"ntr": 100, "rec": 8}, {"mys": 128}, {"spi": 128}, {"psn": 20}, {"par": 20}, {"sil": 20}, {"dth": 20}, {"dbf": 20}, {"rec": 4}, {"spd": 12, "eva": 12, "wnd": 48, "sil": 12}, {"sp": 12, "atk": 24, "rec": 2}, {"hp": 12, "def": 12, "mnd": 12, "rec": 4}, {"hp": 16, "sp": 16, "mag": 16, "tp": 3, "dbf": 10}, {"tp": 4, "rec": 6, "mnd": 24}, {"mag": 16, "mnd": 16, "spd": 16, "eva": 16, "mys": 48}, {"sp": 16, "mnd": 16, "spi": 48, "dth": 16}, {"hp": 24, "rec": 4, "psn": 6, "par": 6, "sil": 6}, {"atk": 30, "def": 30, "mag": 30, "mnd": 30, "spd": 30, "eva": 30}, {"atk": 16, "mag": 24, "spd": 10, "eva": 10, "rec": 4}, {"hp": 12, "sp": 12, "mag": 12, "mnd": 12, "psn": 12, "dbf": 12}, {"atk": 16, "def": 16, "mag": 16, "mnd": 16, "spd": 16, "eva": 16, "psn": 6, "par": 6, "sil": 6, "dth": 6, "dbf": 6}, {"hp": 12, "def": 32, "wnd": 66, "rec": 2}, {"atk": 30, "wnd": 59, "cld": 59, "sil": 16}, {"spd": 24, "eva": 20, "fir": 32, "cld": 32, "wnd": 32, "ntr": 32, "mys": 32, "spi": 32}, {"fir": 48, "cld": 48, "wnd": 48, "ntr": 48, "mys": 48, "spi": 48, "psn": 12, "par": 12, "sil": 12, "dth": 12, "dbf": 12}, {"hp": 30, "mnd": 30, "rec": 6, "ntr": 50, "wnd": 50, "spi": 50, "psn": 16}, {"mag": 30, "rec": 4, "mys": 60, "sil": 10, "dth": 10}, {"sp": 16, "atk": 36, "rec": 4, "fir": 32, "cld": 32, "wnd": 32, "ntr": 32, "mys": 32, "spi": 32}, {"atk": 36, "cld": 80, "dbf": 14}, {"sp": 20, "def": 20, "mnd": 20, "fir": 48, "cld": 60, "spi": 60}, {"tp": 4, "atk": 20, "def": 20, "mag": 20, "mnd": 20, "spd": 20, "eva": 20, "psn": 8, "par": 8, "sil": 8, "dth": 8, "dbf": 8}, {"atk": 38, "mag": 38}, {"rec": 16}, {"sp": 10, "mnd": 60, "rec": 10, "mys": 72, "spi": 72}, {"sp": 16, "def": 50, "mnd": 50}, {"hp": 40, "atk": 40, "mnd": 40, "spd": 40, "tp": 2, "rec": 4}, {"atk": 64}, {"psn": 24, "par": 24, "sil": 24, "dth": 24, "dbf": 24}, {"atk": 28, "mag": 28, "fir": 44, "cld": 44, "wnd": 44, "ntr": 44}, {"hp": 24, "def": 48, "fir": 60, "dbf": 12}, {"atk": 48, "def": 48, "spd": 40, "par": 15, "dth": 15}, {"atk": 120, "mag": 120}, {"def": 50, "mnd": 40, "fir": 72, "cld": 72, "wnd": 72, "ntr": 72, "mys": 72, "spi": 72}, {"hp": 40, "atk": 48, "def": 48, "spd": 30, "eva": 30, "psn": 16, "par": 16, "rec": 6}, {"def": 36, "mnd": 36, "psn": 20, "par": 20, "sil": 20, "dth": 20, "dbf": 20}, {"hp": 60, "def": 60, "mnd": 60, "rec": 6}, {"atk": 68, "spd": 88, "cld": 128, "par": 24}, {"sp": 24, "mag": 60, "mys": 80, "spi": 80, "rec": 12}, {"atk": 96, "mag": 72}, {"hp": 30, "sp": 30, "rec": 6, "atk": 40, "def": 40, "mag": 40, "mnd": 40, "spd": 40, "eva": 40, "fir": 48, "cld": 48, "wnd": 48, "ntr": 48, "mys": 48, "spi": 48, "psn": 12, "par": 12, "sil": 12, "dth": 12, "dbf": 12}, {"tp": 10, "rec": 10, "fir": 100, "cld": 100, "wnd": 100, "ntr": 100, "mys": 100, "spi": 100}, {"sp": 50, "mag": 50, "mnd": 50, "fir": 80, "cld": 80, "wnd": 80, "ntr": 80, "sil": 20}, {"atk": 72, "def": 72, "mnd": 72, "spd": 72}, {"atk": 50, "tp": 12, "wnd": 144, "par": 36}, {"def": 88, "mnd": 88, "rec": 6}, {"atk": 100, "def": 100, "mag": 100, "mnd": 100, "spd": 100, "eva": 100}, {"atk": 88}, {"atk": 124}, {"atk": 168}, {"def": 88}, {"def": 124}, {"def": 168}, {"mag": 88}, {"mag": 124}, {"mag": 168}, {"mnd": 88}, {"mnd": 124}, {"mnd": 168}, {"spd": 88}, {"spd": 124}, {"spd": 168}, {"hp": 88}, {"hp": 124}, {"hp": 168}, {"sp": 88}, {"sp": 124}, {"sp": 168}, {"def": 100, "mnd": 100}, {"atk": 100, "def": 100}, {"atk": 100, "mag": 100}, {"hp": 100, "sp": 100, "rec": 12, "tp": 12}, {"def": 64, "mnd": 64, "fir": 80, "cld": 80, "wnd": 80, "ntr": 80, "mys": 80, "spi": 80}, {"def": 60, "mnd": 60, "fir": 256, "sil": 50}, {"atk": 36, "def": 36, "mag": 36, "mnd": 36, "spd": 36, "eva": 36, "cld": 256, "rec": 4}, {"sp": 72, "mag": 72, "spd": 72, "wnd": 256}, {"ntr": 256, "psn": 50, "dth": 50, "tp": 24}, {"atk": 120, "def": 64, "spd": 64, "mys": 256}, {"atk": 120, "mag": 64, "mnd": 64, "spi": 256}, {"tp": 13, "rec": 13, "psn": 13, "par": 13, "sil": 13, "dth": 13, "dbf": 13}, {"mag": 96, "mnd": 96, "rec": 16, "dbf": 16, "tp": 16}, {"mag": 60, "mnd": 100, "spd": 144}, {"def": 80, "mnd": 144, "rec": 10, "fir": 96, "cld": 96, "wnd": 96, "ntr": 96, "mys": 96, "spi": 96}, {"atk": 172, "mag": 172}, {"hp": 100, "atk": 100, "def": 100, "spd": 100, "par": 15, "dbf": 15}, {"hp": 128, "sp": 128, "fir": 128, "cld": 128, "wnd": 128, "ntr": 128, "mys": 128, "spi": 128}, {"atk": 360}, {"rec": 40}, {"atk": 200, "mag": 200, "mnd": 200, "sp": 100, "spd": 100, "wnd": 128, "ntr": 128, "rec": 16, "psn": 18, "par": 18, "sil": 18}, {"atk": 100, "def": 140, "mag": 180, "mnd": 220, "psn": 30, "par": 30, "dth": 30}, {"atk": 150, "def": 150, "mag": 150, "mnd": 150, "spd": 150, "eva": 150, "fir": 60, "cld": 60, "wnd": 60, "ntr": 60, "mys": 60, "spi": 60, "psn": 15, "par": 15, "sil": 15, "dth": 15, "dbf": 15}, {"fir": 256, "cld": 256, "wnd": 256, "ntr": 256, "mys": 256, "spi": 256}, {"mag": 150, "mnd": 300, "mys": 300, "dth": 50}, {"hp": 240, "atk": 240, "spd": 240, "tp": 30, "psn": 16, "par": 16, "sil": 16, "dth": 16, "dbf": 16}, {"hp": 80, "sp": 100, "mag": 350, "rec": 24, "fir": 128, "cld": 128, "wnd": 128, "ntr": 128, "dth": 50, "dbf": 50}, {"def": 400, "mnd": 400}, {"hp": 300, "sp": 300, "atk": 300, "def": 300, "mag": 300, "mnd": 300, "spd": 300, "eva": 300, "fir": 100, "cld": 100, "wnd": 100, "ntr": 100, "mys": 100, "spi": 100, "psn": 20, "par": 20, "sil": 20, "dth": 20, "dbf": 20} ]
equipment_multipliers = [{'hp': 10}, {'hp': 20}, {'hp': 30}, {'hp': 40}, {'sp': 10}, {'sp': 20}, {'sp': 30}, {'sp': 40}, {'tp': 2}, {'tp': 4}, {'tp': 6}, {'tp': 8}, {'atk': 10}, {'atk': 20}, {'atk': 30}, {'atk': 40}, {'def': 10}, {'def': 20}, {'def': 30}, {'def': 40}, {'mag': 10}, {'mag': 20}, {'mag': 30}, {'mag': 40}, {'mnd': 10}, {'mnd': 20}, {'mnd': 30}, {'mnd': 40}, {'spd': 10}, {'spd': 20}, {'spd': 30}, {'spd': 40}, {'eva': 10}, {'eva': 20}, {'eva': 30}, {'eva': 40}, {'mnd': 8, 'ntr': 36}, {'rec': 4, 'ntr': 48}, {'def': 6, 'cld': 48}, {'atk': 10, 'mag': 10, 'fir': 48}, {'fir': 80, 'cld': 80}, {'fir': 128}, {'wnd': 128}, {'cld': 128}, {'ntr': 100, 'rec': 8}, {'mys': 128}, {'spi': 128}, {'psn': 20}, {'par': 20}, {'sil': 20}, {'dth': 20}, {'dbf': 20}, {'rec': 4}, {'spd': 12, 'eva': 12, 'wnd': 48, 'sil': 12}, {'sp': 12, 'atk': 24, 'rec': 2}, {'hp': 12, 'def': 12, 'mnd': 12, 'rec': 4}, {'hp': 16, 'sp': 16, 'mag': 16, 'tp': 3, 'dbf': 10}, {'tp': 4, 'rec': 6, 'mnd': 24}, {'mag': 16, 'mnd': 16, 'spd': 16, 'eva': 16, 'mys': 48}, {'sp': 16, 'mnd': 16, 'spi': 48, 'dth': 16}, {'hp': 24, 'rec': 4, 'psn': 6, 'par': 6, 'sil': 6}, {'atk': 30, 'def': 30, 'mag': 30, 'mnd': 30, 'spd': 30, 'eva': 30}, {'atk': 16, 'mag': 24, 'spd': 10, 'eva': 10, 'rec': 4}, {'hp': 12, 'sp': 12, 'mag': 12, 'mnd': 12, 'psn': 12, 'dbf': 12}, {'atk': 16, 'def': 16, 'mag': 16, 'mnd': 16, 'spd': 16, 'eva': 16, 'psn': 6, 'par': 6, 'sil': 6, 'dth': 6, 'dbf': 6}, {'hp': 12, 'def': 32, 'wnd': 66, 'rec': 2}, {'atk': 30, 'wnd': 59, 'cld': 59, 'sil': 16}, {'spd': 24, 'eva': 20, 'fir': 32, 'cld': 32, 'wnd': 32, 'ntr': 32, 'mys': 32, 'spi': 32}, {'fir': 48, 'cld': 48, 'wnd': 48, 'ntr': 48, 'mys': 48, 'spi': 48, 'psn': 12, 'par': 12, 'sil': 12, 'dth': 12, 'dbf': 12}, {'hp': 30, 'mnd': 30, 'rec': 6, 'ntr': 50, 'wnd': 50, 'spi': 50, 'psn': 16}, {'mag': 30, 'rec': 4, 'mys': 60, 'sil': 10, 'dth': 10}, {'sp': 16, 'atk': 36, 'rec': 4, 'fir': 32, 'cld': 32, 'wnd': 32, 'ntr': 32, 'mys': 32, 'spi': 32}, {'atk': 36, 'cld': 80, 'dbf': 14}, {'sp': 20, 'def': 20, 'mnd': 20, 'fir': 48, 'cld': 60, 'spi': 60}, {'tp': 4, 'atk': 20, 'def': 20, 'mag': 20, 'mnd': 20, 'spd': 20, 'eva': 20, 'psn': 8, 'par': 8, 'sil': 8, 'dth': 8, 'dbf': 8}, {'atk': 38, 'mag': 38}, {'rec': 16}, {'sp': 10, 'mnd': 60, 'rec': 10, 'mys': 72, 'spi': 72}, {'sp': 16, 'def': 50, 'mnd': 50}, {'hp': 40, 'atk': 40, 'mnd': 40, 'spd': 40, 'tp': 2, 'rec': 4}, {'atk': 64}, {'psn': 24, 'par': 24, 'sil': 24, 'dth': 24, 'dbf': 24}, {'atk': 28, 'mag': 28, 'fir': 44, 'cld': 44, 'wnd': 44, 'ntr': 44}, {'hp': 24, 'def': 48, 'fir': 60, 'dbf': 12}, {'atk': 48, 'def': 48, 'spd': 40, 'par': 15, 'dth': 15}, {'atk': 120, 'mag': 120}, {'def': 50, 'mnd': 40, 'fir': 72, 'cld': 72, 'wnd': 72, 'ntr': 72, 'mys': 72, 'spi': 72}, {'hp': 40, 'atk': 48, 'def': 48, 'spd': 30, 'eva': 30, 'psn': 16, 'par': 16, 'rec': 6}, {'def': 36, 'mnd': 36, 'psn': 20, 'par': 20, 'sil': 20, 'dth': 20, 'dbf': 20}, {'hp': 60, 'def': 60, 'mnd': 60, 'rec': 6}, {'atk': 68, 'spd': 88, 'cld': 128, 'par': 24}, {'sp': 24, 'mag': 60, 'mys': 80, 'spi': 80, 'rec': 12}, {'atk': 96, 'mag': 72}, {'hp': 30, 'sp': 30, 'rec': 6, 'atk': 40, 'def': 40, 'mag': 40, 'mnd': 40, 'spd': 40, 'eva': 40, 'fir': 48, 'cld': 48, 'wnd': 48, 'ntr': 48, 'mys': 48, 'spi': 48, 'psn': 12, 'par': 12, 'sil': 12, 'dth': 12, 'dbf': 12}, {'tp': 10, 'rec': 10, 'fir': 100, 'cld': 100, 'wnd': 100, 'ntr': 100, 'mys': 100, 'spi': 100}, {'sp': 50, 'mag': 50, 'mnd': 50, 'fir': 80, 'cld': 80, 'wnd': 80, 'ntr': 80, 'sil': 20}, {'atk': 72, 'def': 72, 'mnd': 72, 'spd': 72}, {'atk': 50, 'tp': 12, 'wnd': 144, 'par': 36}, {'def': 88, 'mnd': 88, 'rec': 6}, {'atk': 100, 'def': 100, 'mag': 100, 'mnd': 100, 'spd': 100, 'eva': 100}, {'atk': 88}, {'atk': 124}, {'atk': 168}, {'def': 88}, {'def': 124}, {'def': 168}, {'mag': 88}, {'mag': 124}, {'mag': 168}, {'mnd': 88}, {'mnd': 124}, {'mnd': 168}, {'spd': 88}, {'spd': 124}, {'spd': 168}, {'hp': 88}, {'hp': 124}, {'hp': 168}, {'sp': 88}, {'sp': 124}, {'sp': 168}, {'def': 100, 'mnd': 100}, {'atk': 100, 'def': 100}, {'atk': 100, 'mag': 100}, {'hp': 100, 'sp': 100, 'rec': 12, 'tp': 12}, {'def': 64, 'mnd': 64, 'fir': 80, 'cld': 80, 'wnd': 80, 'ntr': 80, 'mys': 80, 'spi': 80}, {'def': 60, 'mnd': 60, 'fir': 256, 'sil': 50}, {'atk': 36, 'def': 36, 'mag': 36, 'mnd': 36, 'spd': 36, 'eva': 36, 'cld': 256, 'rec': 4}, {'sp': 72, 'mag': 72, 'spd': 72, 'wnd': 256}, {'ntr': 256, 'psn': 50, 'dth': 50, 'tp': 24}, {'atk': 120, 'def': 64, 'spd': 64, 'mys': 256}, {'atk': 120, 'mag': 64, 'mnd': 64, 'spi': 256}, {'tp': 13, 'rec': 13, 'psn': 13, 'par': 13, 'sil': 13, 'dth': 13, 'dbf': 13}, {'mag': 96, 'mnd': 96, 'rec': 16, 'dbf': 16, 'tp': 16}, {'mag': 60, 'mnd': 100, 'spd': 144}, {'def': 80, 'mnd': 144, 'rec': 10, 'fir': 96, 'cld': 96, 'wnd': 96, 'ntr': 96, 'mys': 96, 'spi': 96}, {'atk': 172, 'mag': 172}, {'hp': 100, 'atk': 100, 'def': 100, 'spd': 100, 'par': 15, 'dbf': 15}, {'hp': 128, 'sp': 128, 'fir': 128, 'cld': 128, 'wnd': 128, 'ntr': 128, 'mys': 128, 'spi': 128}, {'atk': 360}, {'rec': 40}, {'atk': 200, 'mag': 200, 'mnd': 200, 'sp': 100, 'spd': 100, 'wnd': 128, 'ntr': 128, 'rec': 16, 'psn': 18, 'par': 18, 'sil': 18}, {'atk': 100, 'def': 140, 'mag': 180, 'mnd': 220, 'psn': 30, 'par': 30, 'dth': 30}, {'atk': 150, 'def': 150, 'mag': 150, 'mnd': 150, 'spd': 150, 'eva': 150, 'fir': 60, 'cld': 60, 'wnd': 60, 'ntr': 60, 'mys': 60, 'spi': 60, 'psn': 15, 'par': 15, 'sil': 15, 'dth': 15, 'dbf': 15}, {'fir': 256, 'cld': 256, 'wnd': 256, 'ntr': 256, 'mys': 256, 'spi': 256}, {'mag': 150, 'mnd': 300, 'mys': 300, 'dth': 50}, {'hp': 240, 'atk': 240, 'spd': 240, 'tp': 30, 'psn': 16, 'par': 16, 'sil': 16, 'dth': 16, 'dbf': 16}, {'hp': 80, 'sp': 100, 'mag': 350, 'rec': 24, 'fir': 128, 'cld': 128, 'wnd': 128, 'ntr': 128, 'dth': 50, 'dbf': 50}, {'def': 400, 'mnd': 400}, {'hp': 300, 'sp': 300, 'atk': 300, 'def': 300, 'mag': 300, 'mnd': 300, 'spd': 300, 'eva': 300, 'fir': 100, 'cld': 100, 'wnd': 100, 'ntr': 100, 'mys': 100, 'spi': 100, 'psn': 20, 'par': 20, 'sil': 20, 'dth': 20, 'dbf': 20}]
# https://www.codechef.com/problems/MSNSADM1 for T in range(int(input())): n,points=int(input()),0 scores,fouls=list(map(int,input().split())),list(map(int,input().split())) for i in range(n): if((scores[i]*20-fouls[i]*10)>points): points=scores[i]*20-fouls[i]*10 print(max(0,points))
for t in range(int(input())): (n, points) = (int(input()), 0) (scores, fouls) = (list(map(int, input().split())), list(map(int, input().split()))) for i in range(n): if scores[i] * 20 - fouls[i] * 10 > points: points = scores[i] * 20 - fouls[i] * 10 print(max(0, points))
#!/usr/bin/python3.6 def getPathToDataExchangeFolder(): return 'src/backend/dataExchange/' def getPathToLogFolder(): return 'src/backend/log/' def getPathToDataOutput(): return 'src/backend/dataOutput/' def getPathOfMainJsonFile(artifact_name): return getPathToDataExchangeFolder() + artifact_name + '.json' def getPathOfNetworkJsonFile(artifact_name): return getPathToDataExchangeFolder() + artifact_name + '_network.json' def getPathOfNeighborBarchart(artifact_name): return getPathToDataExchangeFolder() + artifact_name + '_neighbor_barchart.json' def getPathOfSankeyDiagram(artifact_name): return getPathToDataExchangeFolder() + artifact_name + '_sankey_diagram.json' def getPathOfEntityOutputCSVFile(artifact_name): return getPathToDataOutput() + artifact_name + '_entity_output.csv' def getNodeId(artifact_name, counter): return artifact_name + 'entity' + str(counter)
def get_path_to_data_exchange_folder(): return 'src/backend/dataExchange/' def get_path_to_log_folder(): return 'src/backend/log/' def get_path_to_data_output(): return 'src/backend/dataOutput/' def get_path_of_main_json_file(artifact_name): return get_path_to_data_exchange_folder() + artifact_name + '.json' def get_path_of_network_json_file(artifact_name): return get_path_to_data_exchange_folder() + artifact_name + '_network.json' def get_path_of_neighbor_barchart(artifact_name): return get_path_to_data_exchange_folder() + artifact_name + '_neighbor_barchart.json' def get_path_of_sankey_diagram(artifact_name): return get_path_to_data_exchange_folder() + artifact_name + '_sankey_diagram.json' def get_path_of_entity_output_csv_file(artifact_name): return get_path_to_data_output() + artifact_name + '_entity_output.csv' def get_node_id(artifact_name, counter): return artifact_name + 'entity' + str(counter)
def process_row_item(row_item): if hasattr(row_item, 'strip'): row_item = row_item.strip() return row_item def to_table_format(data_list): header = [] rows = [] for row in data_list: header = row.keys() rows.append(list(map(process_row_item, row.values()))) return header, rows
def process_row_item(row_item): if hasattr(row_item, 'strip'): row_item = row_item.strip() return row_item def to_table_format(data_list): header = [] rows = [] for row in data_list: header = row.keys() rows.append(list(map(process_row_item, row.values()))) return (header, rows)
#class common parameters #put all parameters in there #import module to baseline.py class default_data: def __init__(self): #whoever is running this code make sure you change the name to your first name self.user = "" #not needed, mainly to avoid file name conflicts self.numLoops = 1 # Game scenario self.scenario = 'rocket_basic' self.config_file_path = "scenarios/"+self.scenario+".cfg" # Q-learning settings self.epochs = 20 self.learning_rate = 0.00025 self.discount_factor = 0.99 self.learning_steps_per_epoch = 2000 self.replay_memory_size = 10000 # NN learning settings self.batch_size = 64 # Training regime self.test_episodes_per_epoch = 100 # Other parameters self.frame_repeat = 12 self.resolution = (30, 45) self.episodes_to_watch = 10 self.save_model = True self.load_model = False self.skip_learning = False self.skip_evaluation = True #added line self.game_window_visible = True self.model_savefile = "./model-doom.pth" self.model_loadfile = "./model-doom.pth" self.numEvaluations = 5 # Look at the PTH files you are trying to evaluate self.eval_epoch = [1,5,10,15,20] self.model_loadfile = "model_health_gathering_epoch_" #name structure of the pth files. Should be entire filename without the epoch number and self.model_abs_path = [] x = 24 while x <= 28: self.model_abs_path.append("./models/model_health_gathering_epochs_20_Ethan_OGNET_index_"+str(x)+"/"+self.model_loadfile) x+=1
class Default_Data: def __init__(self): self.user = '' self.numLoops = 1 self.scenario = 'rocket_basic' self.config_file_path = 'scenarios/' + self.scenario + '.cfg' self.epochs = 20 self.learning_rate = 0.00025 self.discount_factor = 0.99 self.learning_steps_per_epoch = 2000 self.replay_memory_size = 10000 self.batch_size = 64 self.test_episodes_per_epoch = 100 self.frame_repeat = 12 self.resolution = (30, 45) self.episodes_to_watch = 10 self.save_model = True self.load_model = False self.skip_learning = False self.skip_evaluation = True self.game_window_visible = True self.model_savefile = './model-doom.pth' self.model_loadfile = './model-doom.pth' self.numEvaluations = 5 self.eval_epoch = [1, 5, 10, 15, 20] self.model_loadfile = 'model_health_gathering_epoch_' self.model_abs_path = [] x = 24 while x <= 28: self.model_abs_path.append('./models/model_health_gathering_epochs_20_Ethan_OGNET_index_' + str(x) + '/' + self.model_loadfile) x += 1
n = float(input()) i = 0 for i in range(i, 100, 1): print('N[{}] = {:.4f}'.format(i, n)) n = (n / 2)
n = float(input()) i = 0 for i in range(i, 100, 1): print('N[{}] = {:.4f}'.format(i, n)) n = n / 2
def solve(a,b): dict={} for i in range(max(a, 1), b): temp=factors(i) dict[sum(temp)/i]=dict.get(sum(temp)/i, [])+[i] return sum(j[0] for j in dict.values() if len(j)>1) def factors(n): res={1, n} for i in range(2, int(n**0.5)+1): if n%i==0: res.add(i) res.add(n//i) return res
def solve(a, b): dict = {} for i in range(max(a, 1), b): temp = factors(i) dict[sum(temp) / i] = dict.get(sum(temp) / i, []) + [i] return sum((j[0] for j in dict.values() if len(j) > 1)) def factors(n): res = {1, n} for i in range(2, int(n ** 0.5) + 1): if n % i == 0: res.add(i) res.add(n // i) return res
# Local settings for WLM project. DEBUG = True TEMPLATE_DEBUG = DEBUG DEBUG_PROPAGATE_EXCEPTIONS = DEBUG ALLOWED_HOSTS = '*' ADMINS = ( #('Name', 'mail@example.com'), ) MANAGERS = ADMINS DATABASES = { 'default': { 'ENGINE': 'django.db.backends.mysql', 'NAME': '', 'USER': '', 'PASSWORD': '', 'HOST': '', 'PORT': '', } } GEOIP_PATH = '/usr/share/GeoIP/' SECRET_KEY = ''
debug = True template_debug = DEBUG debug_propagate_exceptions = DEBUG allowed_hosts = '*' admins = () managers = ADMINS databases = {'default': {'ENGINE': 'django.db.backends.mysql', 'NAME': '', 'USER': '', 'PASSWORD': '', 'HOST': '', 'PORT': ''}} geoip_path = '/usr/share/GeoIP/' secret_key = ''
python = "Python" print("h " + python[3]) # Note: string indexing starts with 0 p_letter = python[0] print(p_letter)
python = 'Python' print('h ' + python[3]) p_letter = python[0] print(p_letter)
n =int(input()) count = 1 for i in range(1, n+1): for j in range(1, i+1): print(count*count, end=" ") count+=1 print()
n = int(input()) count = 1 for i in range(1, n + 1): for j in range(1, i + 1): print(count * count, end=' ') count += 1 print()
class Solution: def intersect(self, nums1: List[int], nums2: List[int]) -> List[int]: dic = {} ret = [] if len(nums1)<len(nums2): for i in nums2: if i not in dic: dic[i] = 0 dic[i] += 1 for j in nums1: if j in dic and dic[j]>0: dic[j]-=1 ret.append(j) else: for i in nums1: if i not in dic: dic[i] = 0 dic[i] += 1 for j in nums2: if j in dic and dic[j]>0: dic[j]-=1 ret.append(j) return ret
class Solution: def intersect(self, nums1: List[int], nums2: List[int]) -> List[int]: dic = {} ret = [] if len(nums1) < len(nums2): for i in nums2: if i not in dic: dic[i] = 0 dic[i] += 1 for j in nums1: if j in dic and dic[j] > 0: dic[j] -= 1 ret.append(j) else: for i in nums1: if i not in dic: dic[i] = 0 dic[i] += 1 for j in nums2: if j in dic and dic[j] > 0: dic[j] -= 1 ret.append(j) return ret
def merge_sort(arr): n = len(arr) if n > 1: mid = n//2 left = arr[0:mid] right = arr[mid:n] merge_sort(left) merge_sort(right) merge(left, right, arr) def merge(left, right, arr): i, j, k = 0, 0, 0 while i < len(left) and j < len(right): if left[i] <= right[j]: arr[k] = left[i] i += 1 else: arr[k] = right[j] j += 1 k += 1 if i == len(left): for item in right[j:]: arr[k] = item k += 1 else: for item in left[i:]: arr[k] = item k += 1 # number_list = [20, 18, 12, 8, 5, -2] # merge_sort(number_list) # print(number_list)
def merge_sort(arr): n = len(arr) if n > 1: mid = n // 2 left = arr[0:mid] right = arr[mid:n] merge_sort(left) merge_sort(right) merge(left, right, arr) def merge(left, right, arr): (i, j, k) = (0, 0, 0) while i < len(left) and j < len(right): if left[i] <= right[j]: arr[k] = left[i] i += 1 else: arr[k] = right[j] j += 1 k += 1 if i == len(left): for item in right[j:]: arr[k] = item k += 1 else: for item in left[i:]: arr[k] = item k += 1
positive_count = 0 zero_count = 0 negative_count = 0 n = int(input().strip()) arr = [int(arr_temp) for arr_temp in input().strip().split(' ')] for num in arr: if num > 0: positive_count += 1 elif num == 0: zero_count += 1 else: negative_count += 1 print(positive_count / n) print(negative_count / n) print(zero_count / n)
positive_count = 0 zero_count = 0 negative_count = 0 n = int(input().strip()) arr = [int(arr_temp) for arr_temp in input().strip().split(' ')] for num in arr: if num > 0: positive_count += 1 elif num == 0: zero_count += 1 else: negative_count += 1 print(positive_count / n) print(negative_count / n) print(zero_count / n)
ERROR_CHAR = "\u274c" SUCCESS_CHAR = "\u2713" def missingConfigurationFile(): print( f"{ERROR_CHAR} nocpeasy.yml file does not exist, run `ocpeasy scaffold|init` first" ) def stageCreated(stageId: str, pathProject: str): print( f"{SUCCESS_CHAR} new OpenShift stage created ({stageId}) for project [{pathProject}]" ) def ocpeasyConfigFileUpdated(): print(f"{SUCCESS_CHAR} ocpeasy.yml file refreshed") def missingStage(): print(f"{ERROR_CHAR} stage doesn't exist") def ocpeasyStageAssetsGenerated(): print(f"{SUCCESS_CHAR} OpenShift assets generated") def ocBinaryMissingFromPath(): print(f"{ERROR_CHAR} oc is not properly installed")
error_char = '❌' success_char = '✓' def missing_configuration_file(): print(f'{ERROR_CHAR} nocpeasy.yml file does not exist, run `ocpeasy scaffold|init` first') def stage_created(stageId: str, pathProject: str): print(f'{SUCCESS_CHAR} new OpenShift stage created ({stageId}) for project [{pathProject}]') def ocpeasy_config_file_updated(): print(f'{SUCCESS_CHAR} ocpeasy.yml file refreshed') def missing_stage(): print(f"{ERROR_CHAR} stage doesn't exist") def ocpeasy_stage_assets_generated(): print(f'{SUCCESS_CHAR} OpenShift assets generated') def oc_binary_missing_from_path(): print(f'{ERROR_CHAR} oc is not properly installed')
# a Star topology centered on Z # D G J # \ | / # \ | / # E H K # \ | / # \ | / # F I L # \ | / # \ | / # A --- B --- C --------- Z -------- M --- N --- O # / | \ # / | \ # P S V # / | \ # / | \ # Q T W # / | \ # / | \ # R U X # topo = { 'A' : ['B'], 'B' : ['A', 'C'], 'C' : ['B', 'Z'], 'D' : ['E'], 'E' : ['D', 'F'], 'F' : ['E', 'Z'], 'G' : ['H'], 'H' : ['G', 'I'], 'I' : ['H', 'Z'], 'J' : ['K'], 'K' : ['J', 'L'], 'L' : ['K', 'Z'], 'M' : ['Z', 'N'], 'N' : ['M', 'O'], 'O' : ['N'], 'P' : ['Z', 'Q'], 'Q' : ['P', 'R'], 'R' : ['Q'], 'S' : ['Z', 'T'], 'T' : ['S', 'U'], 'U' : ['T'], 'V' : ['Z', 'W'], 'W' : ['V', 'X'], 'X' : ['W'], 'Z' : ['C', 'F', 'I', 'L', 'M', 'P', 'S', 'V']} ans = \ 'A:A0,B1,C2,D6,E5,F4,G6,H5,I4,J6,K5,L4,M4,N5,O6,P4,Q5,R6,S4,T5,U6,V4,W5,X6,Z3' + \ 'B:A1,B0,C1,D5,E4,F3,G5,H4,I3,J5,K4,L3,M3,N4,O5,P3,Q4,R5,S3,T4,U5,V3,W4,X5,Z2' + \ 'C:A2,B1,C0,D4,E3,F2,G4,H3,I2,J4,K3,L2,M2,N3,O4,P2,Q3,R4,S2,T3,U4,V2,W3,X4,Z1' + \ 'D:A6,B5,C4,D0,E1,F2,G6,H5,I4,J6,K5,L4,M4,N5,O6,P4,Q5,R6,S4,T5,U6,V4,W5,X6,Z3' + \ 'E:A5,B4,C3,D1,E0,F1,G5,H4,I3,J5,K4,L3,M3,N4,O5,P3,Q4,R5,S3,T4,U5,V3,W4,X5,Z2' + \ 'F:A4,B3,C2,D2,E1,F0,G4,H3,I2,J4,K3,L2,M2,N3,O4,P2,Q3,R4,S2,T3,U4,V2,W3,X4,Z1' + \ 'G:A6,B5,C4,D6,E5,F4,G0,H1,I2,J6,K5,L4,M4,N5,O6,P4,Q5,R6,S4,T5,U6,V4,W5,X6,Z3' + \ 'H:A5,B4,C3,D5,E4,F3,G1,H0,I1,J5,K4,L3,M3,N4,O5,P3,Q4,R5,S3,T4,U5,V3,W4,X5,Z2' + \ 'I:A4,B3,C2,D4,E3,F2,G2,H1,I0,J4,K3,L2,M2,N3,O4,P2,Q3,R4,S2,T3,U4,V2,W3,X4,Z1' + \ 'J:A6,B5,C4,D6,E5,F4,G6,H5,I4,J0,K1,L2,M4,N5,O6,P4,Q5,R6,S4,T5,U6,V4,W5,X6,Z3' + \ 'K:A5,B4,C3,D5,E4,F3,G5,H4,I3,J1,K0,L1,M3,N4,O5,P3,Q4,R5,S3,T4,U5,V3,W4,X5,Z2' + \ 'L:A4,B3,C2,D4,E3,F2,G4,H3,I2,J2,K1,L0,M2,N3,O4,P2,Q3,R4,S2,T3,U4,V2,W3,X4,Z1' + \ 'M:A4,B3,C2,D4,E3,F2,G4,H3,I2,J4,K3,L2,M0,N1,O2,P2,Q3,R4,S2,T3,U4,V2,W3,X4,Z1' + \ 'N:A5,B4,C3,D5,E4,F3,G5,H4,I3,J5,K4,L3,M1,N0,O1,P3,Q4,R5,S3,T4,U5,V3,W4,X5,Z2' + \ 'O:A6,B5,C4,D6,E5,F4,G6,H5,I4,J6,K5,L4,M2,N1,O0,P4,Q5,R6,S4,T5,U6,V4,W5,X6,Z3' + \ 'P:A4,B3,C2,D4,E3,F2,G4,H3,I2,J4,K3,L2,M2,N3,O4,P0,Q1,R2,S2,T3,U4,V2,W3,X4,Z1' + \ 'Q:A5,B4,C3,D5,E4,F3,G5,H4,I3,J5,K4,L3,M3,N4,O5,P1,Q0,R1,S3,T4,U5,V3,W4,X5,Z2' + \ 'R:A6,B5,C4,D6,E5,F4,G6,H5,I4,J6,K5,L4,M4,N5,O6,P2,Q1,R0,S4,T5,U6,V4,W5,X6,Z3' + \ 'S:A4,B3,C2,D4,E3,F2,G4,H3,I2,J4,K3,L2,M2,N3,O4,P2,Q3,R4,S0,T1,U2,V2,W3,X4,Z1' + \ 'T:A5,B4,C3,D5,E4,F3,G5,H4,I3,J5,K4,L3,M3,N4,O5,P3,Q4,R5,S1,T0,U1,V3,W4,X5,Z2' + \ 'U:A6,B5,C4,D6,E5,F4,G6,H5,I4,J6,K5,L4,M4,N5,O6,P4,Q5,R6,S2,T1,U0,V4,W5,X6,Z3' + \ 'V:A4,B3,C2,D4,E3,F2,G4,H3,I2,J4,K3,L2,M2,N3,O4,P2,Q3,R4,S2,T3,U4,V0,W1,X2,Z1' + \ 'W:A5,B4,C3,D5,E4,F3,G5,H4,I3,J5,K4,L3,M3,N4,O5,P3,Q4,R5,S3,T4,U5,V1,W0,X1,Z2' + \ 'X:A6,B5,C4,D6,E5,F4,G6,H5,I4,J6,K5,L4,M4,N5,O6,P4,Q5,R6,S4,T5,U6,V2,W1,X0,Z3' + \ 'Z:A3,B2,C1,D3,E2,F1,G3,H2,I1,J3,K2,L1,M1,N2,O3,P1,Q2,R3,S1,T2,U3,V1,W2,X3,Z0'
topo = {'A': ['B'], 'B': ['A', 'C'], 'C': ['B', 'Z'], 'D': ['E'], 'E': ['D', 'F'], 'F': ['E', 'Z'], 'G': ['H'], 'H': ['G', 'I'], 'I': ['H', 'Z'], 'J': ['K'], 'K': ['J', 'L'], 'L': ['K', 'Z'], 'M': ['Z', 'N'], 'N': ['M', 'O'], 'O': ['N'], 'P': ['Z', 'Q'], 'Q': ['P', 'R'], 'R': ['Q'], 'S': ['Z', 'T'], 'T': ['S', 'U'], 'U': ['T'], 'V': ['Z', 'W'], 'W': ['V', 'X'], 'X': ['W'], 'Z': ['C', 'F', 'I', 'L', 'M', 'P', 'S', 'V']} ans = 'A:A0,B1,C2,D6,E5,F4,G6,H5,I4,J6,K5,L4,M4,N5,O6,P4,Q5,R6,S4,T5,U6,V4,W5,X6,Z3' + 'B:A1,B0,C1,D5,E4,F3,G5,H4,I3,J5,K4,L3,M3,N4,O5,P3,Q4,R5,S3,T4,U5,V3,W4,X5,Z2' + 'C:A2,B1,C0,D4,E3,F2,G4,H3,I2,J4,K3,L2,M2,N3,O4,P2,Q3,R4,S2,T3,U4,V2,W3,X4,Z1' + 'D:A6,B5,C4,D0,E1,F2,G6,H5,I4,J6,K5,L4,M4,N5,O6,P4,Q5,R6,S4,T5,U6,V4,W5,X6,Z3' + 'E:A5,B4,C3,D1,E0,F1,G5,H4,I3,J5,K4,L3,M3,N4,O5,P3,Q4,R5,S3,T4,U5,V3,W4,X5,Z2' + 'F:A4,B3,C2,D2,E1,F0,G4,H3,I2,J4,K3,L2,M2,N3,O4,P2,Q3,R4,S2,T3,U4,V2,W3,X4,Z1' + 'G:A6,B5,C4,D6,E5,F4,G0,H1,I2,J6,K5,L4,M4,N5,O6,P4,Q5,R6,S4,T5,U6,V4,W5,X6,Z3' + 'H:A5,B4,C3,D5,E4,F3,G1,H0,I1,J5,K4,L3,M3,N4,O5,P3,Q4,R5,S3,T4,U5,V3,W4,X5,Z2' + 'I:A4,B3,C2,D4,E3,F2,G2,H1,I0,J4,K3,L2,M2,N3,O4,P2,Q3,R4,S2,T3,U4,V2,W3,X4,Z1' + 'J:A6,B5,C4,D6,E5,F4,G6,H5,I4,J0,K1,L2,M4,N5,O6,P4,Q5,R6,S4,T5,U6,V4,W5,X6,Z3' + 'K:A5,B4,C3,D5,E4,F3,G5,H4,I3,J1,K0,L1,M3,N4,O5,P3,Q4,R5,S3,T4,U5,V3,W4,X5,Z2' + 'L:A4,B3,C2,D4,E3,F2,G4,H3,I2,J2,K1,L0,M2,N3,O4,P2,Q3,R4,S2,T3,U4,V2,W3,X4,Z1' + 'M:A4,B3,C2,D4,E3,F2,G4,H3,I2,J4,K3,L2,M0,N1,O2,P2,Q3,R4,S2,T3,U4,V2,W3,X4,Z1' + 'N:A5,B4,C3,D5,E4,F3,G5,H4,I3,J5,K4,L3,M1,N0,O1,P3,Q4,R5,S3,T4,U5,V3,W4,X5,Z2' + 'O:A6,B5,C4,D6,E5,F4,G6,H5,I4,J6,K5,L4,M2,N1,O0,P4,Q5,R6,S4,T5,U6,V4,W5,X6,Z3' + 'P:A4,B3,C2,D4,E3,F2,G4,H3,I2,J4,K3,L2,M2,N3,O4,P0,Q1,R2,S2,T3,U4,V2,W3,X4,Z1' + 'Q:A5,B4,C3,D5,E4,F3,G5,H4,I3,J5,K4,L3,M3,N4,O5,P1,Q0,R1,S3,T4,U5,V3,W4,X5,Z2' + 'R:A6,B5,C4,D6,E5,F4,G6,H5,I4,J6,K5,L4,M4,N5,O6,P2,Q1,R0,S4,T5,U6,V4,W5,X6,Z3' + 'S:A4,B3,C2,D4,E3,F2,G4,H3,I2,J4,K3,L2,M2,N3,O4,P2,Q3,R4,S0,T1,U2,V2,W3,X4,Z1' + 'T:A5,B4,C3,D5,E4,F3,G5,H4,I3,J5,K4,L3,M3,N4,O5,P3,Q4,R5,S1,T0,U1,V3,W4,X5,Z2' + 'U:A6,B5,C4,D6,E5,F4,G6,H5,I4,J6,K5,L4,M4,N5,O6,P4,Q5,R6,S2,T1,U0,V4,W5,X6,Z3' + 'V:A4,B3,C2,D4,E3,F2,G4,H3,I2,J4,K3,L2,M2,N3,O4,P2,Q3,R4,S2,T3,U4,V0,W1,X2,Z1' + 'W:A5,B4,C3,D5,E4,F3,G5,H4,I3,J5,K4,L3,M3,N4,O5,P3,Q4,R5,S3,T4,U5,V1,W0,X1,Z2' + 'X:A6,B5,C4,D6,E5,F4,G6,H5,I4,J6,K5,L4,M4,N5,O6,P4,Q5,R6,S4,T5,U6,V2,W1,X0,Z3' + 'Z:A3,B2,C1,D3,E2,F1,G3,H2,I1,J3,K2,L1,M1,N2,O3,P1,Q2,R3,S1,T2,U3,V1,W2,X3,Z0'
class ErrorCode: INVALID_ARGUMENT = 2 NOT_YET_SUPPORTED = 8 MISSING_REQUIREMENT = 9 FILE_NOT_FOUND = 20 FILE_CORRUPTED = 21 VPN_SERVICE_IS_NOT_WORKING = 90 VPN_ACCOUNT_NOT_FOUND = 91 VPN_ACCOUNT_NOT_MATCH = 92 VPN_NOT_YET_INSTALLED = 98 VPN_ALREADY_INSTALLED = 98 VPN_START_FAILED = 99 TIMEOUT = 100 class Versions: VPN_VERSION = 'v4.36-9754-beta' # Default version VPN_REPO = 'SoftEtherVPN/SoftEtherVPN_Stable' GHRD_VERSION = 'v1.1.2' GHRD_LINK = 'https://github.com/zero88/gh-release-downloader/releases/download/{}/ghrd' PLATFORMS = {'linux/arm/32-eabi': 'arm_eabi-32', 'linux/arm/v7': 'arm-32', 'linux/arm/v6': 'arm-32', 'linux/mips': 'mips_el-32', 'linux/386': 'linux-x86', 'linux/amd64': 'linux-x64', 'linux/arm64': 'arm64'} ARCHES = [a for a in PLATFORMS.values() if a] class AppEnv: BRAND = 'playio' VPN_CORP_ENV = 'VPN_CORP' VPN_HOME_ENV = 'VPN_HOME'
class Errorcode: invalid_argument = 2 not_yet_supported = 8 missing_requirement = 9 file_not_found = 20 file_corrupted = 21 vpn_service_is_not_working = 90 vpn_account_not_found = 91 vpn_account_not_match = 92 vpn_not_yet_installed = 98 vpn_already_installed = 98 vpn_start_failed = 99 timeout = 100 class Versions: vpn_version = 'v4.36-9754-beta' vpn_repo = 'SoftEtherVPN/SoftEtherVPN_Stable' ghrd_version = 'v1.1.2' ghrd_link = 'https://github.com/zero88/gh-release-downloader/releases/download/{}/ghrd' platforms = {'linux/arm/32-eabi': 'arm_eabi-32', 'linux/arm/v7': 'arm-32', 'linux/arm/v6': 'arm-32', 'linux/mips': 'mips_el-32', 'linux/386': 'linux-x86', 'linux/amd64': 'linux-x64', 'linux/arm64': 'arm64'} arches = [a for a in PLATFORMS.values() if a] class Appenv: brand = 'playio' vpn_corp_env = 'VPN_CORP' vpn_home_env = 'VPN_HOME'
person='abc' video_source_number=0 thresholds=[.9,.85,.85,.85,.85,.95,.9] extra_thresholds=[.85,.85,.85,.85] #select the image widow and press w,s,a,d keys while running the script and looking in appropriate direction to change threshold tsrf=True #if true only image of eye will be processed may increase accuracy mode=False print_frame_rate=False print_additive_average_frame_rate=False cursor_speed=3 auto_correct_threshold=False auto_correct_left_pixel_limit=.5 auto_correct_right_pixel_limit=.5 auto_correct_up_pixel_limit=.5 auto_correct_down_pixel_limit=.5 delay_after_dclick_or_enable=.1 threshold_correction_rate=.01 auto_threshold_correct_rate=.01 brightness_correction=False #brightness_correction doesnt work well show_left_eye=True show_left_eyebrow=True landmarks=[['bros',17,21,19,'1122'],['eye',36,39,37,40],['eye',36,39,37,40],['eye',36,39,37,40],['eye',36,39,37,40],['eye',36,39,37,40],['eye',42,45,43,46]] data=['bros','up','down','left','right','dclick','r_close'] color=[[0,0,0],[0,50,100],[100,50,0],[100,150,200],[200,150,100],[200,0,0],[0,0,0]] extra_colors=[[0,50,100],[100,50,0],[100,150,200],[200,150,100]] correct=['e','u','d','l','r','c','m'] steps=['raise your left eyebrow','look up','look down','look left','look right','close left eye','close right eye'] if tsrf==False and brightness_correction==True: brightness_correction=False print("brightness correction can't work with tsrf disabled as it takes cropped image from tensorflow and makes its average brightness equal to data") print("turning off brightness correction") if tsrf==False and mode==True: mode==False;print('2 modes only when tsrf enabled')
person = 'abc' video_source_number = 0 thresholds = [0.9, 0.85, 0.85, 0.85, 0.85, 0.95, 0.9] extra_thresholds = [0.85, 0.85, 0.85, 0.85] tsrf = True mode = False print_frame_rate = False print_additive_average_frame_rate = False cursor_speed = 3 auto_correct_threshold = False auto_correct_left_pixel_limit = 0.5 auto_correct_right_pixel_limit = 0.5 auto_correct_up_pixel_limit = 0.5 auto_correct_down_pixel_limit = 0.5 delay_after_dclick_or_enable = 0.1 threshold_correction_rate = 0.01 auto_threshold_correct_rate = 0.01 brightness_correction = False show_left_eye = True show_left_eyebrow = True landmarks = [['bros', 17, 21, 19, '1122'], ['eye', 36, 39, 37, 40], ['eye', 36, 39, 37, 40], ['eye', 36, 39, 37, 40], ['eye', 36, 39, 37, 40], ['eye', 36, 39, 37, 40], ['eye', 42, 45, 43, 46]] data = ['bros', 'up', 'down', 'left', 'right', 'dclick', 'r_close'] color = [[0, 0, 0], [0, 50, 100], [100, 50, 0], [100, 150, 200], [200, 150, 100], [200, 0, 0], [0, 0, 0]] extra_colors = [[0, 50, 100], [100, 50, 0], [100, 150, 200], [200, 150, 100]] correct = ['e', 'u', 'd', 'l', 'r', 'c', 'm'] steps = ['raise your left eyebrow', 'look up', 'look down', 'look left', 'look right', 'close left eye', 'close right eye'] if tsrf == False and brightness_correction == True: brightness_correction = False print("brightness correction can't work with tsrf disabled as it takes cropped image from tensorflow and makes its average brightness equal to data") print('turning off brightness correction') if tsrf == False and mode == True: mode == False print('2 modes only when tsrf enabled')