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# Copyright 2016 Savoir-faire Linux # License LGPL-3.0 or later (http://www.gnu.org/licenses/lgpl). { "name": "Web No Bubble", "version": "14.0.1.0.0", "author": "Savoir-faire Linux, " "Odoo Community Association (OCA)", "website": "https://github.com/OCA/web", "license": "AGPL-3", "category": "Web", "summary": "Remove the bubbles from the web interface", "depends": ["web"], "data": ["views/web_no_bubble.xml"], "installable": True, "application": False, }
{'name': 'Web No Bubble', 'version': '14.0.1.0.0', 'author': 'Savoir-faire Linux, Odoo Community Association (OCA)', 'website': 'https://github.com/OCA/web', 'license': 'AGPL-3', 'category': 'Web', 'summary': 'Remove the bubbles from the web interface', 'depends': ['web'], 'data': ['views/web_no_bubble.xml'], 'installable': True, 'application': False}
# https://adventofcode.com/2019/day/5 # # --- Day 2: 1202 Program Alarm --- # # --- Day 5: Sunny with a Chance of Asteroids --- # def loadintCode(fname='input'): with open(fname, 'r') as f: l = list(f.read().split(',')) p = [int(x) for x in l] return p def printIndexValue(L, pos=0): longest = len(str(max(L))) print("[",end='') for idx, val in enumerate(L): print("{:{width}d},".format(val, width=longest+1),end='') print("]") indices = list(range(len(L))) indices[pos] = "^"*(longest+1) print("(",end='') for idx in indices: print("{:^{width}s},".format(str(idx), width=longest+1),end='') print(")") def ADD(vals): if len(vals) != 2: raise TypeError a,b = vals return a+b def MUL(vals): if len(vals) != 2: raise TypeError a,b = vals return a*b def INP(vals, sim=None): if sim is not None: print("simulate input value: {}".format(sim)) return sim else: print("Enter input: ") sim = int(input()) return sim def OUT(vals): if len(vals) != 1: raise TypeError print("Output is: {}".format(vals[0])) def JPT(vals): if vals[0] != 0: return True else: return False def JPF(vals): if vals[0] == 0: return True else: return False def LES(vals): if vals[0] < vals[1]: return 1 else: return 0 def EQL(vals): if vals[0] == vals[1]: return 1 else: return 0 def END(): #print("END") return "END" instrSet = { # code: (FUNCTION, #ofParams, Outputs, jumps) 1: (ADD, 3, True, False), 2: (MUL, 3, True, False), 3: (INP, 1, True, False), 4: (OUT, 1, False, False), 5: (JPT, 2, False, True), 6: (JPF, 2, False, True), 7: (LES, 3, True, False), 8: (EQL, 3, True, False), 99: (END, 0, False, True) } def decode(val): if val in instrSet.keys(): # valid op code return instrSet[val] else: return None def runCode(intInput, debug=False): ignore = 0 idx = 0 #for idx, val in enumerate(intInput): while(idx <= len(intInput)): val = intInput[idx] if ignore > 0: ignore -= 1 idx += 1 continue if debug: printIndexValue(intInput, idx) cmd = val%100 op, numVar, writes, jumps = decode(cmd) if op == END: op() return intInput modes = val//100 mod= [] while (modes > 0): tmp = modes%10 if tmp not in [0, 1]: raise TypeError mod.append(tmp) modes = modes//10 # now run op(vars) vars = [] for i in range(numVar): try: m = mod[i] except IndexError: m = 0 if m == 0: vars.append(intInput[intInput[idx+1+i]]) elif m == 1: vars.append(intInput[idx+1+i]) else: raise RuntimeError if writes: # an opcode that writes to last parameter intInput[intInput[idx+numVar]] = op(vars[:-1]) elif jumps: print("JUMP") if op(vars[:-1]): idx = vars[-1] continue else: op(vars) ignore = numVar idx += 1 def runIntcode(intInput, debug=False): ignore = 0 for idx, val in enumerate(intInput): if ignore > 0: ignore -= 1 continue #print("index is %d and value is %s" % (idx, val)) #print("Index: {}".format(idx)) #print(intInput) if debug: print("") if debug: printIndexValue(intInput, idx) #readOpCode(val) if val == 1: if debug: print("add({}, {}, {})".format(intInput[idx+1], intInput[idx+2], intInput[idx+3])) if debug: print("L[{}] = {} + {} = {}".format(intInput[idx+3], intInput[intInput[idx+1]], intInput[intInput[idx+2]], intInput[intInput[idx+1]] + intInput[intInput[idx+2]])) intInput[intInput[idx+3]] = intInput[intInput[idx+1]] + intInput[intInput[idx+2]] ignore = 3 elif val == 2: if debug: print("mul({}, {}, {})".format(intInput[idx+1], intInput[idx+2], intInput[idx+3])) if debug: print("L[{}] = {} * {} = {}".format(intInput[idx+3], intInput[intInput[idx+1]], intInput[intInput[idx+2]], intInput[intInput[idx+1]] * intInput[intInput[idx+2]])) intInput[intInput[idx+3]] = intInput[intInput[idx+1]] * intInput[intInput[idx+2]] ignore = 3 elif val == 99: if debug: print("break") return(intInput) def runDay2PartOne(): intInput2 = [1,1,1,4,99,5,6,0,99] runCode(intInput2) intCode = loadintCode('input_day2') print(intCode) intCode[1] = 12 intCode[2] = 2 print(intCode) print("**************************************************") runCode(intCode) print("result should be:") print([30,1,1,4,2,5,6,0,99]) def runDay2PartTwo(): for noun in range(100): for verb in range(100): print("noun: {:3d} verb: {:3d}".format(noun, verb), end='') intCode = loadintCode('input_day2') intCode[1] = noun intCode[2] = verb result = runIntcode(intCode, False) print(" {}".format(result[0])) if result[0] == 19690720: return 100*noun + verb def runPartOne(): print(runCode([1002,4,3,4,33])) runCode([3,0,4,0,99]) intCode = loadintCode('input') runCode(intCode, debug=False) if __name__ == '__main__': #runDay2PartOne() #runDay2PartTwo() runPartOne()
def loadint_code(fname='input'): with open(fname, 'r') as f: l = list(f.read().split(',')) p = [int(x) for x in l] return p def print_index_value(L, pos=0): longest = len(str(max(L))) print('[', end='') for (idx, val) in enumerate(L): print('{:{width}d},'.format(val, width=longest + 1), end='') print(']') indices = list(range(len(L))) indices[pos] = '^' * (longest + 1) print('(', end='') for idx in indices: print('{:^{width}s},'.format(str(idx), width=longest + 1), end='') print(')') def add(vals): if len(vals) != 2: raise TypeError (a, b) = vals return a + b def mul(vals): if len(vals) != 2: raise TypeError (a, b) = vals return a * b def inp(vals, sim=None): if sim is not None: print('simulate input value: {}'.format(sim)) return sim else: print('Enter input: ') sim = int(input()) return sim def out(vals): if len(vals) != 1: raise TypeError print('Output is: {}'.format(vals[0])) def jpt(vals): if vals[0] != 0: return True else: return False def jpf(vals): if vals[0] == 0: return True else: return False def les(vals): if vals[0] < vals[1]: return 1 else: return 0 def eql(vals): if vals[0] == vals[1]: return 1 else: return 0 def end(): return 'END' instr_set = {1: (ADD, 3, True, False), 2: (MUL, 3, True, False), 3: (INP, 1, True, False), 4: (OUT, 1, False, False), 5: (JPT, 2, False, True), 6: (JPF, 2, False, True), 7: (LES, 3, True, False), 8: (EQL, 3, True, False), 99: (END, 0, False, True)} def decode(val): if val in instrSet.keys(): return instrSet[val] else: return None def run_code(intInput, debug=False): ignore = 0 idx = 0 while idx <= len(intInput): val = intInput[idx] if ignore > 0: ignore -= 1 idx += 1 continue if debug: print_index_value(intInput, idx) cmd = val % 100 (op, num_var, writes, jumps) = decode(cmd) if op == END: op() return intInput modes = val // 100 mod = [] while modes > 0: tmp = modes % 10 if tmp not in [0, 1]: raise TypeError mod.append(tmp) modes = modes // 10 vars = [] for i in range(numVar): try: m = mod[i] except IndexError: m = 0 if m == 0: vars.append(intInput[intInput[idx + 1 + i]]) elif m == 1: vars.append(intInput[idx + 1 + i]) else: raise RuntimeError if writes: intInput[intInput[idx + numVar]] = op(vars[:-1]) elif jumps: print('JUMP') if op(vars[:-1]): idx = vars[-1] continue else: op(vars) ignore = numVar idx += 1 def run_intcode(intInput, debug=False): ignore = 0 for (idx, val) in enumerate(intInput): if ignore > 0: ignore -= 1 continue if debug: print('') if debug: print_index_value(intInput, idx) if val == 1: if debug: print('add({}, {}, {})'.format(intInput[idx + 1], intInput[idx + 2], intInput[idx + 3])) if debug: print('L[{}] = {} + {} = {}'.format(intInput[idx + 3], intInput[intInput[idx + 1]], intInput[intInput[idx + 2]], intInput[intInput[idx + 1]] + intInput[intInput[idx + 2]])) intInput[intInput[idx + 3]] = intInput[intInput[idx + 1]] + intInput[intInput[idx + 2]] ignore = 3 elif val == 2: if debug: print('mul({}, {}, {})'.format(intInput[idx + 1], intInput[idx + 2], intInput[idx + 3])) if debug: print('L[{}] = {} * {} = {}'.format(intInput[idx + 3], intInput[intInput[idx + 1]], intInput[intInput[idx + 2]], intInput[intInput[idx + 1]] * intInput[intInput[idx + 2]])) intInput[intInput[idx + 3]] = intInput[intInput[idx + 1]] * intInput[intInput[idx + 2]] ignore = 3 elif val == 99: if debug: print('break') return intInput def run_day2_part_one(): int_input2 = [1, 1, 1, 4, 99, 5, 6, 0, 99] run_code(intInput2) int_code = loadint_code('input_day2') print(intCode) intCode[1] = 12 intCode[2] = 2 print(intCode) print('**************************************************') run_code(intCode) print('result should be:') print([30, 1, 1, 4, 2, 5, 6, 0, 99]) def run_day2_part_two(): for noun in range(100): for verb in range(100): print('noun: {:3d} verb: {:3d}'.format(noun, verb), end='') int_code = loadint_code('input_day2') intCode[1] = noun intCode[2] = verb result = run_intcode(intCode, False) print(' {}'.format(result[0])) if result[0] == 19690720: return 100 * noun + verb def run_part_one(): print(run_code([1002, 4, 3, 4, 33])) run_code([3, 0, 4, 0, 99]) int_code = loadint_code('input') run_code(intCode, debug=False) if __name__ == '__main__': run_part_one()
class Phone(object): def __init__(self, phone_number): phone_number = [char for char in phone_number if char.isdigit()] if phone_number[:1] == ['1']: phone_number = phone_number[1:] if len(phone_number) != 10: raise ValueError("Insufficient Digits") if (int(phone_number[0]) > 1) and (int(phone_number[3]) > 1): self.number = "".join(phone_number) else: raise ValueError("Typo on a telephone") @property def area_code(self): return self.number[:3] def pretty(self): number = self.number return f"({number[:3]}) {number[3:6]}-{number[6:]}"
class Phone(object): def __init__(self, phone_number): phone_number = [char for char in phone_number if char.isdigit()] if phone_number[:1] == ['1']: phone_number = phone_number[1:] if len(phone_number) != 10: raise value_error('Insufficient Digits') if int(phone_number[0]) > 1 and int(phone_number[3]) > 1: self.number = ''.join(phone_number) else: raise value_error('Typo on a telephone') @property def area_code(self): return self.number[:3] def pretty(self): number = self.number return f'({number[:3]}) {number[3:6]}-{number[6:]}'
# -*- coding: utf-8 -*- __title__ = u'django-flexisettings' # semantic versioning, check http://semver.org/ __version__ = u'0.3.1' __author__ = u'Stefan Berder <stefan.berder@ledapei.com>' __copyright__ = u'Copyright 2012-2013, Heatwave fashion Ltd., ' \ u'all rights reserved'
__title__ = u'django-flexisettings' __version__ = u'0.3.1' __author__ = u'Stefan Berder <stefan.berder@ledapei.com>' __copyright__ = u'Copyright 2012-2013, Heatwave fashion Ltd., all rights reserved'
def solution(p): answer = p + 1 while(not isBeautifulYear(answer)): answer += 1 return answer def isBeautifulYear(year): years = list(map(int, str(year))) return len(set([x for x in years])) == len(years) print(solution(1987))
def solution(p): answer = p + 1 while not is_beautiful_year(answer): answer += 1 return answer def is_beautiful_year(year): years = list(map(int, str(year))) return len(set([x for x in years])) == len(years) print(solution(1987))
def split_and_add(numbers, n): temp=[] count=0 while count<n: for i in range(0,len(numbers)//2): temp.append(numbers[0]) numbers.pop(0) if not temp: return numbers if len(temp)<len(numbers): for i in range(0,len(temp)): numbers[i+1]+=temp[i] elif len(temp)==len(numbers): for i in range(0,len(temp)): numbers[i]+=temp[i] temp=[] count+=1 return numbers
def split_and_add(numbers, n): temp = [] count = 0 while count < n: for i in range(0, len(numbers) // 2): temp.append(numbers[0]) numbers.pop(0) if not temp: return numbers if len(temp) < len(numbers): for i in range(0, len(temp)): numbers[i + 1] += temp[i] elif len(temp) == len(numbers): for i in range(0, len(temp)): numbers[i] += temp[i] temp = [] count += 1 return numbers
if __name__ == "__main__": with open("file.txt", "r", encoding="utf-8") as f: a = f.readlines() for i in a: if "," in i: print(i)
if __name__ == '__main__': with open('file.txt', 'r', encoding='utf-8') as f: a = f.readlines() for i in a: if ',' in i: print(i)
description='HRPT Graphit Filter via SPS-S5' devices = dict( graphit=device('nicos_sinq.amor.devices.sps_switch.SpsSwitch', description='Graphit filter controlled by SPS', epicstimeout=3.0, readpv='SQ:HRPT:SPS1:DigitalInput', commandpv='SQ:HRPT:SPS1:Push', commandstr="S0001", byte=4, bit=4, mapping={'OFF': False, 'ON': True}, lowlevel=True ), sps1=device( 'nicos_ess.devices.epics.extensions.EpicsCommandReply', epicstimeout=3.0, description='Controller of the counter box', commandpv='SQ:HRPT:spsdirect.AOUT', replypv='SQ:HRPT:spsdirect.AINP', ), )
description = 'HRPT Graphit Filter via SPS-S5' devices = dict(graphit=device('nicos_sinq.amor.devices.sps_switch.SpsSwitch', description='Graphit filter controlled by SPS', epicstimeout=3.0, readpv='SQ:HRPT:SPS1:DigitalInput', commandpv='SQ:HRPT:SPS1:Push', commandstr='S0001', byte=4, bit=4, mapping={'OFF': False, 'ON': True}, lowlevel=True), sps1=device('nicos_ess.devices.epics.extensions.EpicsCommandReply', epicstimeout=3.0, description='Controller of the counter box', commandpv='SQ:HRPT:spsdirect.AOUT', replypv='SQ:HRPT:spsdirect.AINP'))
# BUILD FILE SYNTAX: SKYLARK SE_VERSION = '3.11.0'
se_version = '3.11.0'
def main(filepath): rows = [] #file load with open(filepath) as file: for line in file: rows.append(line) counter = 0 counter2 = 0 for entry in rows: entry = entry.split(" ") letter = entry[1][0] entry[0] = entry[0].split("-") low = entry[0][0] high = entry[0][1] internalcount = 0 for char in entry[2]: if char == letter: internalcount+=1 if internalcount >= int(low) and internalcount <= int(high): counter+=1 if (entry[2][int(low)-1] == letter) and not entry[2][int(high)-1] == letter: counter2+=1 if not entry[2][int(low)-1] == letter and entry[2][int(high)-1] == letter: counter2+=1 print("Part a solution: "+ str(counter)) print("Part b solution: "+ str(counter2)) return
def main(filepath): rows = [] with open(filepath) as file: for line in file: rows.append(line) counter = 0 counter2 = 0 for entry in rows: entry = entry.split(' ') letter = entry[1][0] entry[0] = entry[0].split('-') low = entry[0][0] high = entry[0][1] internalcount = 0 for char in entry[2]: if char == letter: internalcount += 1 if internalcount >= int(low) and internalcount <= int(high): counter += 1 if entry[2][int(low) - 1] == letter and (not entry[2][int(high) - 1] == letter): counter2 += 1 if not entry[2][int(low) - 1] == letter and entry[2][int(high) - 1] == letter: counter2 += 1 print('Part a solution: ' + str(counter)) print('Part b solution: ' + str(counter2)) return
x = range(1, 5, 9) for n in x: print(n)
x = range(1, 5, 9) for n in x: print(n)
class StudySeries(object): def __init__(self, study_object, study_data=None): ''' Takes study object ''' assert hasattr(study_object, "__call__"), "invalid study object" self.study = study_object if study_data: self.update(study_data) def update(self, study_data, nLimit): self.series = [] dtlist = [dt for dt in study_data[:nLimit] if study_data[dt]] dtlist.sort(Reverse=True) for dt in dtlist: val = self.study(study_data[dt]) self.series.append((dt, val)) return self.series class ExpMA(object): def __init__(self, n, seed=None): self.length_ = n self.factor = 2. / (float(n) + 1.) self.value_ = seed def __call__(self, observation): if self.value_ is None: self.value_ = observation else: prv = self.value_ self.value_ = (observation - prv) * self.factor + prv return self.value_
class Studyseries(object): def __init__(self, study_object, study_data=None): """ Takes study object """ assert hasattr(study_object, '__call__'), 'invalid study object' self.study = study_object if study_data: self.update(study_data) def update(self, study_data, nLimit): self.series = [] dtlist = [dt for dt in study_data[:nLimit] if study_data[dt]] dtlist.sort(Reverse=True) for dt in dtlist: val = self.study(study_data[dt]) self.series.append((dt, val)) return self.series class Expma(object): def __init__(self, n, seed=None): self.length_ = n self.factor = 2.0 / (float(n) + 1.0) self.value_ = seed def __call__(self, observation): if self.value_ is None: self.value_ = observation else: prv = self.value_ self.value_ = (observation - prv) * self.factor + prv return self.value_
TRPOconfig = { 'cg_damping': 1e-3, 'GAE_lambda': 0., 'reward_decay': 0.98, 'max_kl_divergence': 2e-5, 'hidden_layers': [256, 256, 256], 'hidden_layers_v': [256, 256, 256], 'max_grad_norm': None, 'value_lr': 5e-4, 'train_v_iters': 20, 'lr_pi': 5e-4, 'steps_per_iter': 3200, 'value_func_type': 'FC', } TRPOconfig['memory_size'] = TRPOconfig['steps_per_iter']
trp_oconfig = {'cg_damping': 0.001, 'GAE_lambda': 0.0, 'reward_decay': 0.98, 'max_kl_divergence': 2e-05, 'hidden_layers': [256, 256, 256], 'hidden_layers_v': [256, 256, 256], 'max_grad_norm': None, 'value_lr': 0.0005, 'train_v_iters': 20, 'lr_pi': 0.0005, 'steps_per_iter': 3200, 'value_func_type': 'FC'} TRPOconfig['memory_size'] = TRPOconfig['steps_per_iter']
transverse_run5 = [ 6165044, 6165046, 6165047, 6165055, 6165058, 6165059, 6165063, 6166051, 6166052, 6166054, 6166055, 6166056, 6166057, 6166059, 6166060, 6166061, 6166070, 6166071, 6166073, 6166074, 6166075, 6166076, 6166090, 6166091, #6166101, ## no relative luminosities 6167079, 6167083, 6167088 ] ## transverse runs from IUCF cache transverse_run6_iucf = [ 7098001, 7098002, 7098004, 7098006, 7098007, 7098024, 7098025, 7098027, 7098028, 7098029, 7098038, 7098039, 7098040, 7098041, 7098053, 7098065, 7098066, 7098067, 7098072, 7098073, 7098082, 7098083, 7099003, 7099006, 7099014, 7099025, 7099026, 7099027, 7099030, 7099033, 7099047, 7100052, 7100058, 7100062, 7100064, 7100072, 7100075, 7100077 ] transverse_run6 = [ #7097009, ## no scalars #7097010, ## no scalars #7097014, ## no scalars #7097017, ## no scalars #7097018, ## no scalars #7097019, ## no scalars #7097020, ## no scalars #7097021, ## no scalars #7097024, ## no scalars #7097025, ## no scalars #7097026, ## no scalars #7097027, ## no scalars #7097032, ## no scalars #7097050, ## no scalars #7097051, ## no scalars #7097053, ## no scalars #7097056, ## no scalars 7097093, 7097094, #7097095, ## no scalars 7097096, 7097097, 7097099, 7097102, 7097103, 7097104, 7097105, #7098001, ## no scalars 7098002, 7098004, 7098006, 7098007, 7098008, #7098014, ## no scalars 7098015, 7098018, 7098024, 7098025, ## board 6 scalars 7098027, 7098028, 7098029, 7098031, 7098032, 7098033, 7098034, 7098036, 7098038, 7098039, 7098040, 7098041, 7098053, 7098055, ## board 6 scalars 7098061, 7098062, 7098064, ## board 6 scalars 7098065, 7098066, 7098067, 7098072, #7098073, ## no scalars 7098074, 7098075, 7098079, #7098080, ## no scalars 7098081, 7098082, 7098083, #7099003, ## murad rejected 7099006, #7099014, ## murad rejected #7099015, ## murad rejected #7099021, ## no scalars 7099022, #7099024, ## murad rejected 7099025, 7099026, 7099027, 7099030, ## board 6 scalars 7099031, 7099033, 7099034, 7099035, 7099036, #7099045, ## no scalars #7099046, ## no scalars #7099047, ## no scalars 7100014, 7100016, #7100028, ## no scalars 7100031, #7100052, ## murad rejected #7100058, ## murad rejected #7100062, ## no scalars #7100064, ## murad rejected #7100067, ## no scalars 7100068, #7100070, ## no scalars 7100071, 7100072, 7100075, #7100076, ## no scalars 7100077, #7100078, ## no scalars #7101013, ## murad rejected #7101015, ## no scalars 7101019, 7101023, 7101025, #7101039, ## no scalars 7101041, 7101042, ## board 6 scalars 7101046, 7101050, 7101052, 7101054, 7101075, 7101078, 7101082, 7101085, 7101086, 7103006, 7103007, 7103008, 7103013, 7103014, #7103016, ## no scalars 7103017, 7103018, 7103024, 7103026, 7103027, 7103030, 7103040, 7103072, 7103073, 7103075, 7103080, 7103082, 7103086, #7103088, ## no scalars 7103089, 7103090, 7103093, 7103095, 7103099, 7104014, 7104016, 7115085, 7115086, 7115087, 7115088, 7115095, 7115097, 7115099, 7115101, 7115103, 7115106, 7115111, 7115113, ## board 6 scalars 7115114, ## board 6 scalars 7115115, 7115116, 7115117, 7115121, 7115124, 7115125, 7115126, 7115134, #7116050, ## murad rejected 7116052, 7116057, 7116059, 7117002, 7117008, 7117009, 7117010, 7117011, 7117015, 7117016, 7117017, 7117027, 7117050, 7117056, 7117057, 7117058, 7117060, 7117063, 7117064, #7117067, ## no scalars 7117071, 7118002, 7118003, 7118004, 7118008, 7118009, 7118010, #7118014, ## murad rejected 7118016, 7118017, #7118024, ## murad rejected 7118032, 7118033, 7118035, 7118038, 7118039, 7118041, #7118042, ## no scalars 7118044, 7118045, 7118048, 7118049, 7118050, 7118051, 7118053, 7118073, ## board 6 scalars 7118075, 7118077, 7118083, 7118084, 7118085, 7118087, 7118088, 7118092, 7119001, 7119002, 7119003, 7119004, 7119019, 7119020, 7119021, 7119022, #7119023, ## murad rejected #7119025, ## murad rejected #7119028, ## murad rejected #7119032, ## murad rejected 7119035, ## board 6 scalars 7119038, 7119065, #7119068, ## murad rejected 7119069, 7119079, 7119080, 7119082, #7119084, ## murad rejected 7119085, #7119088, ## murad rejected 7119090, 7119091, #7120023, ## no scalars #7120045, ## no scalars #7120046, ## no scalars #7120047, ## no scalars #7120049, ## no scalars #7120053, ## no scalars #7120082, ## no scalars 7120088, ## board 6 scalars 7120089, ## board 6 scalars 7120091, ## board 6 scalars 7120092, ## board 6 scalars 7120100, ## board 6 scalars 7120101, ## board 6 scalars 7120112, ## board 6 scalars 7120113, ## board 6 scalars 7120116, ## board 6 scalars #7120117, ## needed to reproduce, drop it 7120121, ## board 6 scalars 7120128, ## board 6 scalars #7120129, ## no scalars 7120131, ## board 6 scalars 7120132, ## board 6 scalars 7120133, ## board 6 scalars 7121001, ## board 6 scalars 7121007, ## board 6 scalars 7121012, ## board 6 scalars 7121013, ## board 6 scalars 7121015, ## board 6 scalars 7121016, ## board 6 scalars 7121020, ## board 6 scalars 7121021, ## board 6 scalars #7121038, ## no scalars 7121041, ## board 6 scalars 7121043, ## board 6 scalars #7121118, ## no scalars #7121119, ## no scalars #7121120, ## no scalars #7121122, ## no scalars #7122002, ## no scalars #7122003, ## no scalars #7122035, ## no scalars #7122037, ## no scalars #7122043, ## no scalars #7122044, ## no scalars #7122045, ## no scalars #7122047, ## no scalars #7122048, ## no scalars #7122049, ## no scalars #7122053, ## no scalars #7122054, ## no scalars #7122056, ## no scalars #7122057, ## no scalars #7122058, ## no scalars #7122069, ## no scalars #7122070, ## no scalars #7123011, ## no scalars #7123014, ## no scalars #7123015, ## no scalars #7123019, ## no scalars #7123020, ## no scalars #7123022, ## no scalars #7123024, ## no scalars #7123027, ## no scalars #7123028, ## no scalars #7123030, ## no scalars #7123031, ## no scalars #7123032, ## no scalars #7124009, ## no scalars #7124016, ## no scalars #7124018, ## no scalars #7124021, ## no scalars #7124024, ## no scalars #7124026, ## no scalars #7124029, ## no scalars #7124034, ## no scalars #7124063, ## no scalars 7125005, 7125013, 7125014, 7125015, 7125016, 7125017, 7125021, 7125022, 7125023, ## board 6 scalars 7125028, #7125044, ## murad rejected #7125046, ## murad rejected 7125052, 7125055, 7125056, 7125057, 7125058, #7125059, ## murad rejected 7125061, 7125066, 7125067, 7125069, 7125070, 7126008, 7126009, 7126010, 7126011, 7126012, 7126016, 7126019, 7126022, 7126023, 7126036, 7126037, 7126056, 7126057, 7126058, 7126059, 7126062, 7126063, 7126064, 7126065, 7127001, 7127005, 7127006, 7127007, 7127010, 7127011, ## board 6 scalars #7127024, ## murad rejected #7127037, ## murad rejected #7127038, ## murad rejected #7127039, ## murad rejected #7127041, ## murad rejected #7127042, ## murad rejected #7127046, ## murad rejected #7127049, ## murad rejected 7127067, 7127069, 7127072, 7127073, 7127075, 7127076, 7127077, 7127080, 7127087, 7127090, 7127092, 7127096, 7128001, 7128002, #7128005, ## needed to reproduce, drop it 7128006, 7128007, 7128008, 7128009, 7128013, #7128023, ## murad rejected 7128028, 7128032, 7128045, 7128046, 7128048, 7128050, 7128051, 7128057, 7128059, 7128061, 7128063, 7129001, 7129002, 7129003, 7129009, 7129018, 7129020, 7129021, 7129023, 7129027, 7129031, 7129032, 7129035, 7129036, 7129041 ] long2_run6 = [ 7132001, 7132005, 7132007, 7132009, 7132010, 7132018, 7132023, 7132026, 7132062, 7132066, 7132068, 7132071, 7133008, 7133011, 7133012, 7133018, 7133019, 7133022, 7133025, 7133035, 7133036, 7133039, 7133041, 7133043, 7133044, 7133045, 7133046, 7133047, 7133049, 7133050, 7133052, 7133064, 7133065, 7133066, 7133068, 7134001, 7134005, 7134006, 7134007, 7134009, # 7134010, ## non-null offset 7134013, 7134015, 7134043, 7134046, 7134047, 7134048, 7134049, 7134052, 7134055, 7134056, 7134065, 7134066, 7134067, 7134068, 7134072, 7134074, 7134075, 7134076, 7135003, 7135004, # 7135016, ## no final polarizations for F7858 # 7135018, ## no final polarizations for F7858 # 7135019, ## no final polarizations for F7858 # 7135022, ## no final polarizations for F7858 # 7135023, ## no final polarizations for F7858 # 7135024, ## no final polarizations for F7858 # 7135025, ## no final polarizations for F7858 # 7135028, ## no final polarizations for F7858 7136017, 7136022, 7136023, 7136024, 7136027, 7136031, 7136033, 7136034, 7136035, 7136039, 7136040, 7136041, 7136042, 7136045, 7136073, 7136075, 7136076, 7136079, 7136080, 7136084, 7137012, 7137013, 7137035, 7137036, 7138001, 7138002, 7138003, 7138004, 7138008, 7138009, 7138010, 7138011, 7138012, 7138017, 7138029, 7138032, 7138034, 7138043, #7139017, ## Murad -- failed : jets, jntows, jntrks, jrt, jtrkdca, jtrkdcaz, zv 7139018, 7139019, 7139022, 7139024, 7139025, 7139031, 7139032, 7139033, 7139034, 7139035, 7139036, 7139037, 7139043, 7140007, 7140008, 7140009, 7140010, 7140011, 7140014, 7140015, 7140016, 7140017, 7140018, 7140022, 7140023, 7140024, 7140042, 7140045, 7140046, #7140050, ## no relative luminosities 7140051, 7140052, #7140053, ## no relative luminosities 7141010, 7141011, 7141015, 7141016, 7141034, 7141038, 7141039, 7141042, 7141043, 7141044, 7141064, 7141066, #7141068, ## Murad -- short run - 1 minute long 7141069, 7141070, 7141071, 7141074, 7141075, 7141076, 7141077, 7142001, 7142005, #7142006, ## Murad -- No tpc #7142012, ## Murad -- failed : bbc, jets, jntows, jntrks, jpt, jrt, jtrkpt, j ## towpt, jtrkdca, zv #7142014, ## no relative luminosities #7142015, ## no relative luminosities 7142016, 7142017, 7142018, 7142022, #7142023, ## no relative luminosities 7142024, 7142025, 7142028, 7142029, 7142033, 7142034, 7142035, 7142036, 7142045, 7142046, 7142047, 7142048, 7142049, #7142052, ## no relative luminosities #7142059, ## Murad -- failed : bbc, jets, jntows, jntrks, jpt, jrt, jtrkpt, ## jtowpt, jtrkdca, jtrkdcaxy #7142060, ## Murad -- failed : bbc, jets, jntows, jntrks, jpt, jrt, jtrkpt, ## jtowpt, jtrkdca, zv 7142061, 7143001, 7143004, 7143005, 7143006, 7143007, 7143008, 7143011, 7143012, 7143013, 7143014, 7143025, #7143031, ## Murad -- No tpc 7143043, 7143044, # 7143045, ## non-null offset # 7143046, ## non-null offset 7143047, # 7143048, ## non-null offset 7143049, 7143054, 7143055, 7143056, 7143057, 7143060, 7144011, 7144014, 7144015, 7144018, 7145007, 7145009, 7145010, 7145013, 7145017, 7145018, 7145019, 7145022, 7145023, 7145024, 7145025, 7145026, 7145030, 7145057, 7145064, 7145067, 7145068, 7145069, 7145070, 7146001, 7146004, 7146006, 7146008, 7146009, # 7146016, ## non-null offset 7146017, 7146019, 7146020, 7146024, 7146025, 7146066, 7146067, 7146068, 7146069, 7146075, 7146076, 7146077, 7146078, 7147052, 7147055, 7147083, 7148020, 7148024, 7148027, 7148028, 7148032, 7148036, 7148063, 7148064, 7148065, 7148066, 7148067, 7149003, 7149004, 7149005, 7149018, 7149019, 7149023, 7149026, 7150007, 7150008, 7150013, 7152035, 7152037, 7152049, 7152051, 7152062, 7153001, 7153002, 7153008, 7153014, 7153015, 7153021, 7153025, 7153032, 7153035, 7153103, 7154005, 7154051, 7154068, 7154069, 7154070, 7155009, 7155010, 7155011, 7155013, 7155016, 7155018, 7155019, 7155022, 7155023, 7155042, 7155043, 7155044, 7155048, 7155052, 7156006, 7156010, 7156017, 7156018, 7156019, 7156024, 7156025, 7156026, 7156027, 7156028 ] golden_runlist_c = [ 6120032,6120037,6120038,6120039,6120040,6120042,6120043,6120044,6120045,6120049, 6120054,6120066,6120070,6121009,6121010,6121013,6121014,6121015,6121016,6121018, 6121022,6121036,6121060,6121061,6121068,6121070,6121071,6121072,6121073,6121075, 6122001,6122002,6122011,6122013,6122014,6122018,6130054,6130055,6130056,6130060, 6130061,6130063,6130064,6130069,6130070,6130071,6131007,6131008,6131009,6131013, 6131049,6131052,6131053,6131056,6133009,6133010,6133011,6133012,6133013,6133014, 6133016,6133017,6133018,6133022,6133049,6133072,6134001,6134002,6134003,6134004, 6134005,6134006,6134007,6134008,6134010,6134011,6134024,6134047,6134060,6135001, 6135002,6135005,6135006,6135007,6135008,6135009,6135010,6135013,6135014,6135033, 6135034,6135035,6135036,6136014,6136015,6136017,6136018,6136028,6136029,6136030, 6136031,6136032,6136034,6136035,6136037,6136041,6136042,6136043,6136119,6136130, 6136131,6137009,6137011,6137158,6137160,6137163,6137164,6137166,6137167,6137169, 6137170,6137171,6137172,6137173,6138001,6138002,6138003,6138005,6138010,6138011, 6138012,6138013,6138014,6138017,6138018,6138019,6138020,6138059,6138061,6138062, 6138067,6139001,6139002,6139004,6139005,6139007,6139008,6139009,6139010,6139012, 6139013,6139054,6139055,6139056,6139061,6139063,6139064,6139065,6139071,6140002, 6140003,6140004,6140005,6140019,6140020,6140021,6140022,6140023,6140024,6140025, 6140026,6140028,6140029,6140030,6140031,6140032,6140033,6140034,6140035,6140036, 6140054,6140066,6140067,6140068,6140074,6140075,6140076,6141009,6141010,6141011, 6141022,6141023,6141026,6141027,6141028,6141029,6141030,6141031,6141032,6141033, 6141061,6141062,6141063,6141064,6141065,6141066,6141068,6141069,6142001,6142002, 6142003,6142004,6142005,6142006,6142007,6142010,6142011,6142012,6142013,6142014, 6142015,6142016,6142017,6142018,6142020,6142021,6142022,6142024,6142026,6142027, 6142038,6142039,6142040,6142041,6142042,6142043,6142044,6142045,6142049,6142050, 6142051,6142052,6142053,6142054,6142055,6142056,6142057,6142060,6142063,6142064, 6142077,6142078,6142079,6142080,6142081,6142082,6142084,6142087,6142088,6142089, 6142093,6142094,6142097,6143001,6143002,6143012,6143013,6143014,6143015,6143016, 6143017,6143018,6143019,6143022,6143023,6143024,6143025,6143027,6143028,6143033, 6144017,6144019,6144020,6144021,6144022,6144023,6144024,6144028,6144051,6144052, 6144053,6144054,6144057,6144058,6144059,6144060,6144061,6144063,6144066,6144067, 6145011,6145018,6145019,6145041,6145053,6145054,6145055,6145056,6145057,6145058, 6146017,6146018,6146019,6146020,6146021,6146024,6146025,6146044,6147009,6147029, 6147031,6148008,6148009,6148010,6148011,6148012,6148013,6148014,6148018,6148019, 6148020,6148021,6148022,6148024,6148026,6148027,6148037,6148040,6148041,6148059, 6148063,6148064,6149004,6149007,6149009,6149016,6149017,6149019,6149020,6149021, 6149024,6149025,6149029,6149030,6149031,6149032,6149036,6149050,6149055,6149056, 6149057,6150005,6150018,6150028,6150029,6150037,6150038,6151001,6151002,6151005, 6151008,6151009,6151011,6151012,6151014,6151015,6151017,6151018,6151020,6151021, 6151022,6151023,6151024,6151026,6151028,6151029,6151030,6155004,6155026,6155027, 6155029,6156004,6156010,6156011,6156012,6156013,6156014,6156016,6156019,6156027, 6156028,6156029,6156034,6156036,6158014,6158015,6158019,6158020,6158024,6158025, 6158057,6158059,6158060,6158061,6158062,6158063,6158076,6158077,6158081,6158084, 6158085,6158086,6161001,6161006,6161007,6161035,6161038,6161042,6161043,6161046, 6161047,6161091,6161092,6161093,6161094,6161097,6161100,6161101,6161102,6161104, 6161105,6162005,6162006,6162007,6162027,6162028,6162030,6162031,6162032,6162039, 6162040,6162041,6162042,6162043,6162044,6162045,6162046,6162058,6162062,6162063, 6162064,6162068,6162069,6162070,6162071,6162072,6162075,6162076,6163012,6163013, 6163016,6163017,6163018,6163021,6163022,6163023,6163024,6163025,6163035,6163038, 6163039,6163040,6163041,6163043,6163044,6163045,6163048,6163050,6163051,6163053, 6163054,6163056,6163057,6163058,6164002,6164003,6164004,6164013,6164016,6164017, 6164018,6164021,6164022,6164024,6167141,6168002,6168018,6168019,6168022,6168023, 6168036,6168044,6168068,6168069,6168072,6168073,6168083,6168084,6168085,6168086, 6168104,6168107,6168108,6168111,6168112,6169001,6169002,6169003,6169006,6169007, 6169008,6169020,6169026,6169027,6169030,6169031,6169035,6169037,6169041,6169043, 6169048,6169049,6169051,6169052,6169053,6169055,6169056,6169057,6169058,6169060, 6169073,6169079,6169080,6169082,6169084,6169088,6169089,6169090,6169091,6169092, 6169094,6169096,6169097,6169103,6169105,6169106,6169107,6170002,6170006,6170010, 6170011,6170012,6170013,6170014,6170015,6170016,6170017,6170031,6170032,6170033, 6170035,6170038,6170039,6170041,6170045,6171022,6171024,6171034,6171039,6171041, 6171043,6171044,6171045,6171046,6171048,6171049,6171062,6171063,6172001,6172002, 6172003,6172006,6172007,6172015,6172016,6172069,6172085,6172086,6172087,6172092, 6172093,6174010,6174011,6174012,6174013,6174014,6174017,6174018,6174019,6174020, 6174021,6174025,6174026,6174027,6174031,6174044,6174045,6174046,6174047,6174048, 6174049,6174053,6174054,6174055,6174056,6174057,6174058,6174060,6174069,6174070, 6174072,6175009,6175010,6175011,6175012,6175016,6175017,6175020 ] minbias_runs = [ 6120044, 6120054, #6130069, ## polarizations #6130070, #6130071, #6135014, ## even/odd stagger problem 6138019, 6138020, 6139013, 6140004, 6140005, 6141069, 6142020, 6142021, 6142022, #6142060, ## ZDC/BBC ratio 3sigma from zero #6142063, #6142064, 6143028, 6143033, 6144028, 6144067, 6145011, 6145041, 6147009, 6147031, 6148021, 6148022, 6148024, 6148026, 6148027, 6148037, 6148040, 6148041, 6149009, 6149055, 6149056, 6149057, 6151030, 6155004, 6155026, 6155027, 6155029, 6158024, 6163035, 6164021, 6168002, 6168111, 6169073, 6170016, 6170017, 6172015, ## bx111 6172016, ## bx111 6174025 ## bx111 ] run6a = [ #7132001, #7132005, #7132006, #7132007, #7132008, #7132009, #7132010, #7132018, #7132023, #7132024, #7132025, #7132026, #7132027, #7132062, #7132066, #7132068, #7132071, #7133008, #7133011, #7133012, #7133016, #7133018, #7133019, #7133022, #7133025, #7133035, #7133036, #7133039, #7133041, #7133043, #7133044, #7133045, #7133046, #7133047, #7133049, #7133050, #7133052, #7133064, #7133065, #7133066, #7133068, #7134001, #7134005, #7134006, #7134007, #7134009, #7134010, #7134013, #7134015, #7134026, #7134027, #7134030, #7134043, #7134046, #7134047, #7134048, #7134049, #7134052, #7134055, #7134056, #7134065, #7134066, #7134067, #7134068, #7134072, #7134074, #7134075, #7134076, #7135003, #7135004, #7135016, #7135018, #7135019, #7135022, #7135023, #7135024, #7135025, #7135028, #7136017, #7136022, #7136023, #7136024, #7136027, #7136031, #7136033, #7136034, #7136035, #7136039, #7136040, #7136041, #7136042, #7136045, #7136073, #7136075, #7136076, #7136079, #7136080, #7136084, #7137012, #7137013, #7137035, #7137036, #7138001, 7138002, 7138003, 7138004, 7138008, 7138009, 7138010, 7138011, 7138012, 7138017, 7138029, 7138032, 7138034, 7138043, 7139018, 7139019, 7139025, 7139031, 7139032, 7139033, 7139034, 7139035, 7139036, 7139037, 7139043, 7140007, 7140008, 7140009, 7140010, 7140011, 7140015, 7140016, 7140017, 7140018, 7140022, 7140023, 7140024, 7140042, 7140045, 7140051, 7140052, 7140053, 7141010, 7141011, 7141015, 7141016, 7141034, 7141038, 7141039, 7141042, 7141043, 7141044, 7141064, 7141066, 7141069, 7141070, 7141071, 7141074, 7141075, 7141076, 7141077, 7142001, 7142005, 7142014, 7142015, 7142016, 7142017, 7142018, 7142022, 7142023, 7142024, 7142025, 7142028, 7142029, 7142033, 7142034, 7142035, 7142036, 7142045, 7142046, 7142047, 7142048, 7142049, 7142059, 7142060, 7142061, 7143001, 7143004, 7143005, 7143006, 7143007, 7143008, 7143011, 7143012, 7143013, 7143014, 7143025, 7144011, 7144014, 7144015, 7144018, 7145007, 7145009, 7145010, 7145013, 7145016, 7145018, 7145019, 7145022, 7145023, 7145024, 7145025, 7145026, 7145030, 7145057, 7145064, 7145067, 7145068, 7145069, 7145070, 7146001, 7146004, 7146006, 7146008, 7146009, 7146016, 7146017, 7146019, 7146020, 7146024, 7146025, 7146066, 7146067, 7146068, 7146069, 7146075, 7146076, 7146077, 7146078, 7147017, 7147020, 7147023, 7147024, 7147028, 7147029, 7147032, 7147033, 7147052, 7147055, 7147082, 7147083, 7147084, 7148020, 7148024, 7148027, 7148028, 7148032, 7148036, 7148037, 7148054, 7148057, 7148059, 7148063, 7148064, 7148065, 7148066, 7148067, 7149003, 7149004, 7149005, 7149006, 7149012, 7149017, 7149018, 7149019, 7149023, 7149026, 7150007, 7150008, 7150013, 7152035, 7152037, 7152049, 7152051, 7152062, 7153001, 7153002, 7153008, 7153014, 7153015, 7153021, 7153025, 7153032, 7153035, 7153095, 7153103, 7154005, 7154010, 7154011, 7154040, 7154044, 7154047, 7154051, 7154068, 7154069, 7154070, 7155010, 7155011, 7155013, 7155016, 7155019, 7155022, 7155023, 7155043, 7155044, 7155048, 7156006, 7156010, 7156017, 7156018, 7156019, 7156024, 7156025, 7156026, 7156027, 7156028 ] final_runlist_run5_no_minbias = [ 6119032, 6119038, 6119039, 6119063, 6119064, 6119065, 6119066, 6119067, 6119069, 6119071, 6119072, 6120009, 6120010, 6120011, 6120015, 6120016, 6120017, 6120019, 6120022, 6120032, 6120037, 6120038, 6120039, 6120040, 6120042, 6120043, 6120045, 6120049, 6120066, 6120070, 6120071, 6121009, 6121010, 6121013, 6121014, 6121015, 6121016, 6121018, 6121021, 6121022, 6121033, 6121036, 6121060, 6121061, 6121068, 6121070, 6121071, 6121072, 6121073, 6121075, 6121076, 6122001, 6122002, 6122010, 6122011, 6122013, 6122014, 6122018, 6127035, 6127036, 6127037, 6128005, 6128006, 6128007, 6128009, 6128011, 6128012, 6128013, 6128014, 6128015, 6128016, 6128022, 6128023, 6128024, 6128026, 6128027, 6128028, 6128029, 6128030, 6128031, 6128032, #6128043, ## even/odd stagger problem (case with no reliable ZDC info) #6128051, #6128052, #6128053, #6128054, #6128055, #6128056, #6128057, #6128058, #6128059, #6128062, #6128063, #6130054, ## no final polarizations available #6130055, #6130056, #6130060, #6130061, #6130063, #6130064, #6130065, 6131007, 6131008, 6131009, 6131013, 6131048, 6131049, 6131052, 6131053, 6131054, 6131056, 6131057, 6131092, #6132019, ## no final polarizations available #6132020, #6132021, #6132025, #6132026, 6133006, 6133009, 6133010, 6133011, 6133012, 6133013, 6133014, 6133015, 6133016, 6133017, 6133018, 6133022, 6133026, 6133049, 6133071, 6133072, 6134001, 6134002, 6134003, 6134004, 6134005, 6134006, 6134007, 6134008, 6134010, 6134011, 6134024, 6134047, 6134060, ## bx111 #6135001, ## even/odd stagger problems #6135002, #6135005, #6135006, #6135007, #6135008, #6135009, #6135010, #6135013, #6135033, ## ZDC/BBC ratio 3sigma from zero #6135034, #6135035, #6135036, #6135037, #6135038, #6135052, ## even/odd stagger problem #6135053, 6136014, 6136015, 6136017, 6136018, 6136028, 6136029, 6136030, 6136031, 6136032, 6136034, 6136035, 6136037, 6136041, 6136042, 6136043, 6136119, 6136130, 6136131, 6137009, 6137011, 6137149, 6137157, 6137158, 6137159, 6137160, 6137163, 6137164, 6137166, 6137167, 6137169, 6137170, 6137171, 6137172, 6137173, 6138001, 6138002, 6138003, 6138004, 6138005, 6138010, 6138011, 6138012, 6138013, 6138014, 6138017, 6138018, 6138059, 6138061, 6138062, 6138067, 6139001, 6139002, 6139004, 6139005, 6139007, 6139008, 6139009, 6139010, 6139012, 6139018, 6139019, 6139020, 6139021, 6139022, 6139025, 6139026, 6139027, 6139028, 6139029, 6139030, 6139034, 6139036, 6139039, 6139041, 6139054, 6139055, 6139056, 6139061, 6139063, 6139064, 6139065, 6139071, 6140002, 6140003, 6140018, 6140019, 6140020, 6140021, 6140022, 6140023, 6140024, 6140025, 6140026, 6140028, 6140029, 6140030, 6140031, 6140032, 6140033, 6140034, 6140035, 6140036, 6140054, 6140065, 6140066, 6140067, 6140068, 6140069, 6140074, 6140075, 6140076, 6141009, 6141010, 6141011, 6141021, 6141022, 6141023, 6141026, 6141027, 6141028, 6141029, 6141030, 6141031, 6141032, 6141033, 6141047, 6141049, 6141050, 6141051, 6141052, 6141053, 6141058, 6141061, 6141062, 6141063, 6141064, 6141065, 6141066, 6141068, 6142001, 6142002, 6142003, 6142004, 6142005, 6142006, 6142007, 6142008, 6142010, 6142011, 6142012, 6142013, 6142014, 6142015, 6142016, 6142017, 6142018, 6142024, 6142025, 6142026, 6142027, #6142038, ## ZDC/BBC ratio 3sigma from zero #6142039, #6142040, #6142041, #6142042, #6142043, #6142044, #6142045, #6142049, #6142050, #6142051, #6142052, #6142053, #6142054, #6142055, #6142056, #6142057, 6142077, 6142078, 6142079, 6142080, 6142081, 6142082, 6142084, 6142087, 6142088, 6142089, 6142093, 6142094, 6142097, 6143001, 6143002, 6143012, 6143013, 6143014, 6143015, 6143016, 6143017, 6143018, 6143019, 6143021, 6143022, 6143023, 6143024, 6143025, 6143027, 6144017, 6144019, 6144020, 6144021, 6144022, 6144023, 6144024, 6144026, 6144051, 6144052, 6144053, 6144054, 6144057, 6144058, 6144059, 6144060, 6144061, 6144063, 6144066, 6145013, 6145015, 6145018, 6145019, 6145020, 6145023, 6145025, 6145027, 6145028, 6145045, 6145053, 6145054, 6145055, 6145056, 6145057, 6145058, 6145068, 6146017, 6146018, 6146019, 6146020, 6146021, 6146024, 6146025, 6147029, 6147030, 6148008, 6148009, 6148010, 6148011, 6148012, 6148013, 6148014, 6148017, 6148018, 6148019, 6148020, 6148054, 6148055, 6148056, 6148057, 6148058, 6148059, 6148060, 6148063, 6148064, 6149003, 6149004, 6149007, 6149016, 6149017, 6149018, 6149019, 6149020, 6149021, 6149024, 6149025, 6149029, 6149030, 6149031, 6149032, 6149036, 6149048, 6149050, 6149051, 6149052, 6150005, 6150006, 6150014, 6150015, 6150016, 6150017, 6150018, 6150019, 6150022, 6150023, 6150024, 6150025, 6150026, 6150027, 6150028, 6150029, 6150037, 6150038, 6151001, 6151002, 6151005, 6151008, 6151009, 6151011, 6151012, 6151013, 6151014, 6151015, 6151017, 6151018, 6151020, 6151021, 6151022, 6151023, 6151024, 6151026, 6151028, 6151029, 6156004, 6156010, 6156011, 6156012, 6156013, 6156014, 6156015, 6156016, 6156019, 6156027, 6156028, 6156029, 6156030, 6156034, 6156036, 6157050, 6157051, 6158014, 6158015, 6158019, 6158020, 6158025, 6158041, 6158057, 6158059, 6158060, 6158061, 6158062, 6158063, 6158076, 6158077, 6158081, 6158084, 6158085, 6158086, 6160039, 6160040, 6160041, 6160044, 6160048, 6160056, 6160057, 6160058, 6160061, 6160062, 6160065, 6160068, 6160069, 6160070, 6160071, 6160072, 6160082, 6160083, 6161001, 6161006, 6161007, 6161035, 6161038, 6161042, 6161043, 6161044, 6161046, 6161047, 6161091, 6161092, 6161093, 6161094, 6161097, 6161098, 6161099, 6161100, 6161101, 6161102, 6161104, 6161105, 6162005, 6162006, 6162007, 6162014, 6162027, 6162028, 6162029, 6162030, 6162031, 6162032, 6162039, 6162040, 6162041, 6162042, 6162043, 6162044, 6162045, 6162046, 6162056, 6162058, 6162061, 6162062, 6162063, 6162064, 6162068, 6162069, 6162070, 6162071, 6162072, 6162075, 6162076, 6163012, 6163013, 6163015, 6163016, 6163017, 6163018, 6163021, 6163022, 6163023, 6163024, 6163025, 6163038, 6163039, 6163040, 6163041, 6163043, 6163044, 6163045, 6163048, 6163050, 6163051, 6163053, 6163054, 6163056, 6163057, 6163058, 6164002, 6164003, 6164004, 6164013, 6164016, 6164017, 6164018, 6164022, 6164023, 6164024, 6167115, 6167116, 6167119, 6167131, 6167134, 6167140, 6167141, 6168018, 6168019, 6168022, 6168023, 6168024, 6168036, 6168044, 6168068, 6168069, 6168072, 6168073, 6168083, 6168084, 6168085, 6168086, 6168089, 6168090, 6168099, 6168100, 6168101, 6168102, 6168103, 6168104, 6168107, 6168108, 6168112, 6169001, 6169002, 6169003, 6169006, 6169007, 6169008, 6169020, 6169025, 6169026, 6169027, 6169028, 6169029, 6169030, 6169031, 6169035, 6169036, 6169037, 6169038, 6169039, 6169041, 6169043, 6169044, 6169047, 6169048, 6169049, 6169050, 6169051, 6169052, 6169053, 6169055, 6169056, 6169057, 6169058, 6169060, 6169079, 6169080, 6169082, 6169083, 6169084, 6169088, 6169089, 6169090, 6169091, 6169092, 6169093, 6169094, 6169096, 6169097, 6169101, 6169103, 6169104, 6169105, 6169106, 6169107, 6170002, 6170006, 6170009, 6170010, 6170011, 6170012, 6170013, 6170014, 6170015, 6170018, 6170031, ## bx111 6170032, ## bx111 6170033, ## bx111 6170034, ## bx111 6170035, ## bx111 6170038, ## bx111 6170039, ## bx111 6170040, ## bx111 6170041, ## bx111 6170045, ## bx111 6171022, ## bx111 6171024, ## bx111 6171034, ## bx111 6171039, ## bx111 6171040, ## bx111 6171041, ## bx111 6171043, ## bx111 6171044, ## bx111 6171045, ## bx111 6171046, ## bx111 6171048, ## bx111 6171049, ## bx111 6171062, ## bx111 6171063, ## bx111 6172001, ## bx111 6172002, ## bx111 6172003, ## bx111 6172006, ## bx111 6172007, ## bx111 6172010, ## bx111 6172069, ## bx111 6172085, ## bx111 6172086, ## bx111 6172087, ## bx111 6172092, ## bx111 6172093, ## bx111 6174010, ## bx111 6174011, ## bx111 6174012, ## bx111 6174013, ## bx111 6174014, ## bx111 6174017, ## bx111 6174018, ## bx111 6174019, ## bx111 6174020, ## bx111 6174021, ## bx111 6174026, ## bx111 6174027, ## bx111 6174031, ## bx111 6174044, 6174045, 6174046, 6174047, 6174048, 6174049, 6174053, 6174054, 6174055, 6174056, 6174057, 6174058, 6174059, 6174060, 6174069, 6174070, 6174072, #6175009, ## no final polarizations available #6175010, #6175011, #6175012, #6175016, #6175017, #6175020 ] final_runlist_run5 = final_runlist_run5_no_minbias + minbias_runs final_runlist_run5.sort() __all__ = ['transverse_run5', 'transverse_run6_iucf', 'transverse_run6', 'long2_run6', 'golden_runlist_c', 'minbias_runs', 'final_runlist_run5']
transverse_run5 = [6165044, 6165046, 6165047, 6165055, 6165058, 6165059, 6165063, 6166051, 6166052, 6166054, 6166055, 6166056, 6166057, 6166059, 6166060, 6166061, 6166070, 6166071, 6166073, 6166074, 6166075, 6166076, 6166090, 6166091, 6167079, 6167083, 6167088] transverse_run6_iucf = [7098001, 7098002, 7098004, 7098006, 7098007, 7098024, 7098025, 7098027, 7098028, 7098029, 7098038, 7098039, 7098040, 7098041, 7098053, 7098065, 7098066, 7098067, 7098072, 7098073, 7098082, 7098083, 7099003, 7099006, 7099014, 7099025, 7099026, 7099027, 7099030, 7099033, 7099047, 7100052, 7100058, 7100062, 7100064, 7100072, 7100075, 7100077] transverse_run6 = [7097093, 7097094, 7097096, 7097097, 7097099, 7097102, 7097103, 7097104, 7097105, 7098002, 7098004, 7098006, 7098007, 7098008, 7098015, 7098018, 7098024, 7098025, 7098027, 7098028, 7098029, 7098031, 7098032, 7098033, 7098034, 7098036, 7098038, 7098039, 7098040, 7098041, 7098053, 7098055, 7098061, 7098062, 7098064, 7098065, 7098066, 7098067, 7098072, 7098074, 7098075, 7098079, 7098081, 7098082, 7098083, 7099006, 7099022, 7099025, 7099026, 7099027, 7099030, 7099031, 7099033, 7099034, 7099035, 7099036, 7100014, 7100016, 7100031, 7100068, 7100071, 7100072, 7100075, 7100077, 7101019, 7101023, 7101025, 7101041, 7101042, 7101046, 7101050, 7101052, 7101054, 7101075, 7101078, 7101082, 7101085, 7101086, 7103006, 7103007, 7103008, 7103013, 7103014, 7103017, 7103018, 7103024, 7103026, 7103027, 7103030, 7103040, 7103072, 7103073, 7103075, 7103080, 7103082, 7103086, 7103089, 7103090, 7103093, 7103095, 7103099, 7104014, 7104016, 7115085, 7115086, 7115087, 7115088, 7115095, 7115097, 7115099, 7115101, 7115103, 7115106, 7115111, 7115113, 7115114, 7115115, 7115116, 7115117, 7115121, 7115124, 7115125, 7115126, 7115134, 7116052, 7116057, 7116059, 7117002, 7117008, 7117009, 7117010, 7117011, 7117015, 7117016, 7117017, 7117027, 7117050, 7117056, 7117057, 7117058, 7117060, 7117063, 7117064, 7117071, 7118002, 7118003, 7118004, 7118008, 7118009, 7118010, 7118016, 7118017, 7118032, 7118033, 7118035, 7118038, 7118039, 7118041, 7118044, 7118045, 7118048, 7118049, 7118050, 7118051, 7118053, 7118073, 7118075, 7118077, 7118083, 7118084, 7118085, 7118087, 7118088, 7118092, 7119001, 7119002, 7119003, 7119004, 7119019, 7119020, 7119021, 7119022, 7119035, 7119038, 7119065, 7119069, 7119079, 7119080, 7119082, 7119085, 7119090, 7119091, 7120088, 7120089, 7120091, 7120092, 7120100, 7120101, 7120112, 7120113, 7120116, 7120121, 7120128, 7120131, 7120132, 7120133, 7121001, 7121007, 7121012, 7121013, 7121015, 7121016, 7121020, 7121021, 7121041, 7121043, 7125005, 7125013, 7125014, 7125015, 7125016, 7125017, 7125021, 7125022, 7125023, 7125028, 7125052, 7125055, 7125056, 7125057, 7125058, 7125061, 7125066, 7125067, 7125069, 7125070, 7126008, 7126009, 7126010, 7126011, 7126012, 7126016, 7126019, 7126022, 7126023, 7126036, 7126037, 7126056, 7126057, 7126058, 7126059, 7126062, 7126063, 7126064, 7126065, 7127001, 7127005, 7127006, 7127007, 7127010, 7127011, 7127067, 7127069, 7127072, 7127073, 7127075, 7127076, 7127077, 7127080, 7127087, 7127090, 7127092, 7127096, 7128001, 7128002, 7128006, 7128007, 7128008, 7128009, 7128013, 7128028, 7128032, 7128045, 7128046, 7128048, 7128050, 7128051, 7128057, 7128059, 7128061, 7128063, 7129001, 7129002, 7129003, 7129009, 7129018, 7129020, 7129021, 7129023, 7129027, 7129031, 7129032, 7129035, 7129036, 7129041] long2_run6 = [7132001, 7132005, 7132007, 7132009, 7132010, 7132018, 7132023, 7132026, 7132062, 7132066, 7132068, 7132071, 7133008, 7133011, 7133012, 7133018, 7133019, 7133022, 7133025, 7133035, 7133036, 7133039, 7133041, 7133043, 7133044, 7133045, 7133046, 7133047, 7133049, 7133050, 7133052, 7133064, 7133065, 7133066, 7133068, 7134001, 7134005, 7134006, 7134007, 7134009, 7134013, 7134015, 7134043, 7134046, 7134047, 7134048, 7134049, 7134052, 7134055, 7134056, 7134065, 7134066, 7134067, 7134068, 7134072, 7134074, 7134075, 7134076, 7135003, 7135004, 7136017, 7136022, 7136023, 7136024, 7136027, 7136031, 7136033, 7136034, 7136035, 7136039, 7136040, 7136041, 7136042, 7136045, 7136073, 7136075, 7136076, 7136079, 7136080, 7136084, 7137012, 7137013, 7137035, 7137036, 7138001, 7138002, 7138003, 7138004, 7138008, 7138009, 7138010, 7138011, 7138012, 7138017, 7138029, 7138032, 7138034, 7138043, 7139018, 7139019, 7139022, 7139024, 7139025, 7139031, 7139032, 7139033, 7139034, 7139035, 7139036, 7139037, 7139043, 7140007, 7140008, 7140009, 7140010, 7140011, 7140014, 7140015, 7140016, 7140017, 7140018, 7140022, 7140023, 7140024, 7140042, 7140045, 7140046, 7140051, 7140052, 7141010, 7141011, 7141015, 7141016, 7141034, 7141038, 7141039, 7141042, 7141043, 7141044, 7141064, 7141066, 7141069, 7141070, 7141071, 7141074, 7141075, 7141076, 7141077, 7142001, 7142005, 7142016, 7142017, 7142018, 7142022, 7142024, 7142025, 7142028, 7142029, 7142033, 7142034, 7142035, 7142036, 7142045, 7142046, 7142047, 7142048, 7142049, 7142061, 7143001, 7143004, 7143005, 7143006, 7143007, 7143008, 7143011, 7143012, 7143013, 7143014, 7143025, 7143043, 7143044, 7143047, 7143049, 7143054, 7143055, 7143056, 7143057, 7143060, 7144011, 7144014, 7144015, 7144018, 7145007, 7145009, 7145010, 7145013, 7145017, 7145018, 7145019, 7145022, 7145023, 7145024, 7145025, 7145026, 7145030, 7145057, 7145064, 7145067, 7145068, 7145069, 7145070, 7146001, 7146004, 7146006, 7146008, 7146009, 7146017, 7146019, 7146020, 7146024, 7146025, 7146066, 7146067, 7146068, 7146069, 7146075, 7146076, 7146077, 7146078, 7147052, 7147055, 7147083, 7148020, 7148024, 7148027, 7148028, 7148032, 7148036, 7148063, 7148064, 7148065, 7148066, 7148067, 7149003, 7149004, 7149005, 7149018, 7149019, 7149023, 7149026, 7150007, 7150008, 7150013, 7152035, 7152037, 7152049, 7152051, 7152062, 7153001, 7153002, 7153008, 7153014, 7153015, 7153021, 7153025, 7153032, 7153035, 7153103, 7154005, 7154051, 7154068, 7154069, 7154070, 7155009, 7155010, 7155011, 7155013, 7155016, 7155018, 7155019, 7155022, 7155023, 7155042, 7155043, 7155044, 7155048, 7155052, 7156006, 7156010, 7156017, 7156018, 7156019, 7156024, 7156025, 7156026, 7156027, 7156028] golden_runlist_c = [6120032, 6120037, 6120038, 6120039, 6120040, 6120042, 6120043, 6120044, 6120045, 6120049, 6120054, 6120066, 6120070, 6121009, 6121010, 6121013, 6121014, 6121015, 6121016, 6121018, 6121022, 6121036, 6121060, 6121061, 6121068, 6121070, 6121071, 6121072, 6121073, 6121075, 6122001, 6122002, 6122011, 6122013, 6122014, 6122018, 6130054, 6130055, 6130056, 6130060, 6130061, 6130063, 6130064, 6130069, 6130070, 6130071, 6131007, 6131008, 6131009, 6131013, 6131049, 6131052, 6131053, 6131056, 6133009, 6133010, 6133011, 6133012, 6133013, 6133014, 6133016, 6133017, 6133018, 6133022, 6133049, 6133072, 6134001, 6134002, 6134003, 6134004, 6134005, 6134006, 6134007, 6134008, 6134010, 6134011, 6134024, 6134047, 6134060, 6135001, 6135002, 6135005, 6135006, 6135007, 6135008, 6135009, 6135010, 6135013, 6135014, 6135033, 6135034, 6135035, 6135036, 6136014, 6136015, 6136017, 6136018, 6136028, 6136029, 6136030, 6136031, 6136032, 6136034, 6136035, 6136037, 6136041, 6136042, 6136043, 6136119, 6136130, 6136131, 6137009, 6137011, 6137158, 6137160, 6137163, 6137164, 6137166, 6137167, 6137169, 6137170, 6137171, 6137172, 6137173, 6138001, 6138002, 6138003, 6138005, 6138010, 6138011, 6138012, 6138013, 6138014, 6138017, 6138018, 6138019, 6138020, 6138059, 6138061, 6138062, 6138067, 6139001, 6139002, 6139004, 6139005, 6139007, 6139008, 6139009, 6139010, 6139012, 6139013, 6139054, 6139055, 6139056, 6139061, 6139063, 6139064, 6139065, 6139071, 6140002, 6140003, 6140004, 6140005, 6140019, 6140020, 6140021, 6140022, 6140023, 6140024, 6140025, 6140026, 6140028, 6140029, 6140030, 6140031, 6140032, 6140033, 6140034, 6140035, 6140036, 6140054, 6140066, 6140067, 6140068, 6140074, 6140075, 6140076, 6141009, 6141010, 6141011, 6141022, 6141023, 6141026, 6141027, 6141028, 6141029, 6141030, 6141031, 6141032, 6141033, 6141061, 6141062, 6141063, 6141064, 6141065, 6141066, 6141068, 6141069, 6142001, 6142002, 6142003, 6142004, 6142005, 6142006, 6142007, 6142010, 6142011, 6142012, 6142013, 6142014, 6142015, 6142016, 6142017, 6142018, 6142020, 6142021, 6142022, 6142024, 6142026, 6142027, 6142038, 6142039, 6142040, 6142041, 6142042, 6142043, 6142044, 6142045, 6142049, 6142050, 6142051, 6142052, 6142053, 6142054, 6142055, 6142056, 6142057, 6142060, 6142063, 6142064, 6142077, 6142078, 6142079, 6142080, 6142081, 6142082, 6142084, 6142087, 6142088, 6142089, 6142093, 6142094, 6142097, 6143001, 6143002, 6143012, 6143013, 6143014, 6143015, 6143016, 6143017, 6143018, 6143019, 6143022, 6143023, 6143024, 6143025, 6143027, 6143028, 6143033, 6144017, 6144019, 6144020, 6144021, 6144022, 6144023, 6144024, 6144028, 6144051, 6144052, 6144053, 6144054, 6144057, 6144058, 6144059, 6144060, 6144061, 6144063, 6144066, 6144067, 6145011, 6145018, 6145019, 6145041, 6145053, 6145054, 6145055, 6145056, 6145057, 6145058, 6146017, 6146018, 6146019, 6146020, 6146021, 6146024, 6146025, 6146044, 6147009, 6147029, 6147031, 6148008, 6148009, 6148010, 6148011, 6148012, 6148013, 6148014, 6148018, 6148019, 6148020, 6148021, 6148022, 6148024, 6148026, 6148027, 6148037, 6148040, 6148041, 6148059, 6148063, 6148064, 6149004, 6149007, 6149009, 6149016, 6149017, 6149019, 6149020, 6149021, 6149024, 6149025, 6149029, 6149030, 6149031, 6149032, 6149036, 6149050, 6149055, 6149056, 6149057, 6150005, 6150018, 6150028, 6150029, 6150037, 6150038, 6151001, 6151002, 6151005, 6151008, 6151009, 6151011, 6151012, 6151014, 6151015, 6151017, 6151018, 6151020, 6151021, 6151022, 6151023, 6151024, 6151026, 6151028, 6151029, 6151030, 6155004, 6155026, 6155027, 6155029, 6156004, 6156010, 6156011, 6156012, 6156013, 6156014, 6156016, 6156019, 6156027, 6156028, 6156029, 6156034, 6156036, 6158014, 6158015, 6158019, 6158020, 6158024, 6158025, 6158057, 6158059, 6158060, 6158061, 6158062, 6158063, 6158076, 6158077, 6158081, 6158084, 6158085, 6158086, 6161001, 6161006, 6161007, 6161035, 6161038, 6161042, 6161043, 6161046, 6161047, 6161091, 6161092, 6161093, 6161094, 6161097, 6161100, 6161101, 6161102, 6161104, 6161105, 6162005, 6162006, 6162007, 6162027, 6162028, 6162030, 6162031, 6162032, 6162039, 6162040, 6162041, 6162042, 6162043, 6162044, 6162045, 6162046, 6162058, 6162062, 6162063, 6162064, 6162068, 6162069, 6162070, 6162071, 6162072, 6162075, 6162076, 6163012, 6163013, 6163016, 6163017, 6163018, 6163021, 6163022, 6163023, 6163024, 6163025, 6163035, 6163038, 6163039, 6163040, 6163041, 6163043, 6163044, 6163045, 6163048, 6163050, 6163051, 6163053, 6163054, 6163056, 6163057, 6163058, 6164002, 6164003, 6164004, 6164013, 6164016, 6164017, 6164018, 6164021, 6164022, 6164024, 6167141, 6168002, 6168018, 6168019, 6168022, 6168023, 6168036, 6168044, 6168068, 6168069, 6168072, 6168073, 6168083, 6168084, 6168085, 6168086, 6168104, 6168107, 6168108, 6168111, 6168112, 6169001, 6169002, 6169003, 6169006, 6169007, 6169008, 6169020, 6169026, 6169027, 6169030, 6169031, 6169035, 6169037, 6169041, 6169043, 6169048, 6169049, 6169051, 6169052, 6169053, 6169055, 6169056, 6169057, 6169058, 6169060, 6169073, 6169079, 6169080, 6169082, 6169084, 6169088, 6169089, 6169090, 6169091, 6169092, 6169094, 6169096, 6169097, 6169103, 6169105, 6169106, 6169107, 6170002, 6170006, 6170010, 6170011, 6170012, 6170013, 6170014, 6170015, 6170016, 6170017, 6170031, 6170032, 6170033, 6170035, 6170038, 6170039, 6170041, 6170045, 6171022, 6171024, 6171034, 6171039, 6171041, 6171043, 6171044, 6171045, 6171046, 6171048, 6171049, 6171062, 6171063, 6172001, 6172002, 6172003, 6172006, 6172007, 6172015, 6172016, 6172069, 6172085, 6172086, 6172087, 6172092, 6172093, 6174010, 6174011, 6174012, 6174013, 6174014, 6174017, 6174018, 6174019, 6174020, 6174021, 6174025, 6174026, 6174027, 6174031, 6174044, 6174045, 6174046, 6174047, 6174048, 6174049, 6174053, 6174054, 6174055, 6174056, 6174057, 6174058, 6174060, 6174069, 6174070, 6174072, 6175009, 6175010, 6175011, 6175012, 6175016, 6175017, 6175020] minbias_runs = [6120044, 6120054, 6138019, 6138020, 6139013, 6140004, 6140005, 6141069, 6142020, 6142021, 6142022, 6143028, 6143033, 6144028, 6144067, 6145011, 6145041, 6147009, 6147031, 6148021, 6148022, 6148024, 6148026, 6148027, 6148037, 6148040, 6148041, 6149009, 6149055, 6149056, 6149057, 6151030, 6155004, 6155026, 6155027, 6155029, 6158024, 6163035, 6164021, 6168002, 6168111, 6169073, 6170016, 6170017, 6172015, 6172016, 6174025] run6a = [7138002, 7138003, 7138004, 7138008, 7138009, 7138010, 7138011, 7138012, 7138017, 7138029, 7138032, 7138034, 7138043, 7139018, 7139019, 7139025, 7139031, 7139032, 7139033, 7139034, 7139035, 7139036, 7139037, 7139043, 7140007, 7140008, 7140009, 7140010, 7140011, 7140015, 7140016, 7140017, 7140018, 7140022, 7140023, 7140024, 7140042, 7140045, 7140051, 7140052, 7140053, 7141010, 7141011, 7141015, 7141016, 7141034, 7141038, 7141039, 7141042, 7141043, 7141044, 7141064, 7141066, 7141069, 7141070, 7141071, 7141074, 7141075, 7141076, 7141077, 7142001, 7142005, 7142014, 7142015, 7142016, 7142017, 7142018, 7142022, 7142023, 7142024, 7142025, 7142028, 7142029, 7142033, 7142034, 7142035, 7142036, 7142045, 7142046, 7142047, 7142048, 7142049, 7142059, 7142060, 7142061, 7143001, 7143004, 7143005, 7143006, 7143007, 7143008, 7143011, 7143012, 7143013, 7143014, 7143025, 7144011, 7144014, 7144015, 7144018, 7145007, 7145009, 7145010, 7145013, 7145016, 7145018, 7145019, 7145022, 7145023, 7145024, 7145025, 7145026, 7145030, 7145057, 7145064, 7145067, 7145068, 7145069, 7145070, 7146001, 7146004, 7146006, 7146008, 7146009, 7146016, 7146017, 7146019, 7146020, 7146024, 7146025, 7146066, 7146067, 7146068, 7146069, 7146075, 7146076, 7146077, 7146078, 7147017, 7147020, 7147023, 7147024, 7147028, 7147029, 7147032, 7147033, 7147052, 7147055, 7147082, 7147083, 7147084, 7148020, 7148024, 7148027, 7148028, 7148032, 7148036, 7148037, 7148054, 7148057, 7148059, 7148063, 7148064, 7148065, 7148066, 7148067, 7149003, 7149004, 7149005, 7149006, 7149012, 7149017, 7149018, 7149019, 7149023, 7149026, 7150007, 7150008, 7150013, 7152035, 7152037, 7152049, 7152051, 7152062, 7153001, 7153002, 7153008, 7153014, 7153015, 7153021, 7153025, 7153032, 7153035, 7153095, 7153103, 7154005, 7154010, 7154011, 7154040, 7154044, 7154047, 7154051, 7154068, 7154069, 7154070, 7155010, 7155011, 7155013, 7155016, 7155019, 7155022, 7155023, 7155043, 7155044, 7155048, 7156006, 7156010, 7156017, 7156018, 7156019, 7156024, 7156025, 7156026, 7156027, 7156028] final_runlist_run5_no_minbias = [6119032, 6119038, 6119039, 6119063, 6119064, 6119065, 6119066, 6119067, 6119069, 6119071, 6119072, 6120009, 6120010, 6120011, 6120015, 6120016, 6120017, 6120019, 6120022, 6120032, 6120037, 6120038, 6120039, 6120040, 6120042, 6120043, 6120045, 6120049, 6120066, 6120070, 6120071, 6121009, 6121010, 6121013, 6121014, 6121015, 6121016, 6121018, 6121021, 6121022, 6121033, 6121036, 6121060, 6121061, 6121068, 6121070, 6121071, 6121072, 6121073, 6121075, 6121076, 6122001, 6122002, 6122010, 6122011, 6122013, 6122014, 6122018, 6127035, 6127036, 6127037, 6128005, 6128006, 6128007, 6128009, 6128011, 6128012, 6128013, 6128014, 6128015, 6128016, 6128022, 6128023, 6128024, 6128026, 6128027, 6128028, 6128029, 6128030, 6128031, 6128032, 6131007, 6131008, 6131009, 6131013, 6131048, 6131049, 6131052, 6131053, 6131054, 6131056, 6131057, 6131092, 6133006, 6133009, 6133010, 6133011, 6133012, 6133013, 6133014, 6133015, 6133016, 6133017, 6133018, 6133022, 6133026, 6133049, 6133071, 6133072, 6134001, 6134002, 6134003, 6134004, 6134005, 6134006, 6134007, 6134008, 6134010, 6134011, 6134024, 6134047, 6134060, 6136014, 6136015, 6136017, 6136018, 6136028, 6136029, 6136030, 6136031, 6136032, 6136034, 6136035, 6136037, 6136041, 6136042, 6136043, 6136119, 6136130, 6136131, 6137009, 6137011, 6137149, 6137157, 6137158, 6137159, 6137160, 6137163, 6137164, 6137166, 6137167, 6137169, 6137170, 6137171, 6137172, 6137173, 6138001, 6138002, 6138003, 6138004, 6138005, 6138010, 6138011, 6138012, 6138013, 6138014, 6138017, 6138018, 6138059, 6138061, 6138062, 6138067, 6139001, 6139002, 6139004, 6139005, 6139007, 6139008, 6139009, 6139010, 6139012, 6139018, 6139019, 6139020, 6139021, 6139022, 6139025, 6139026, 6139027, 6139028, 6139029, 6139030, 6139034, 6139036, 6139039, 6139041, 6139054, 6139055, 6139056, 6139061, 6139063, 6139064, 6139065, 6139071, 6140002, 6140003, 6140018, 6140019, 6140020, 6140021, 6140022, 6140023, 6140024, 6140025, 6140026, 6140028, 6140029, 6140030, 6140031, 6140032, 6140033, 6140034, 6140035, 6140036, 6140054, 6140065, 6140066, 6140067, 6140068, 6140069, 6140074, 6140075, 6140076, 6141009, 6141010, 6141011, 6141021, 6141022, 6141023, 6141026, 6141027, 6141028, 6141029, 6141030, 6141031, 6141032, 6141033, 6141047, 6141049, 6141050, 6141051, 6141052, 6141053, 6141058, 6141061, 6141062, 6141063, 6141064, 6141065, 6141066, 6141068, 6142001, 6142002, 6142003, 6142004, 6142005, 6142006, 6142007, 6142008, 6142010, 6142011, 6142012, 6142013, 6142014, 6142015, 6142016, 6142017, 6142018, 6142024, 6142025, 6142026, 6142027, 6142077, 6142078, 6142079, 6142080, 6142081, 6142082, 6142084, 6142087, 6142088, 6142089, 6142093, 6142094, 6142097, 6143001, 6143002, 6143012, 6143013, 6143014, 6143015, 6143016, 6143017, 6143018, 6143019, 6143021, 6143022, 6143023, 6143024, 6143025, 6143027, 6144017, 6144019, 6144020, 6144021, 6144022, 6144023, 6144024, 6144026, 6144051, 6144052, 6144053, 6144054, 6144057, 6144058, 6144059, 6144060, 6144061, 6144063, 6144066, 6145013, 6145015, 6145018, 6145019, 6145020, 6145023, 6145025, 6145027, 6145028, 6145045, 6145053, 6145054, 6145055, 6145056, 6145057, 6145058, 6145068, 6146017, 6146018, 6146019, 6146020, 6146021, 6146024, 6146025, 6147029, 6147030, 6148008, 6148009, 6148010, 6148011, 6148012, 6148013, 6148014, 6148017, 6148018, 6148019, 6148020, 6148054, 6148055, 6148056, 6148057, 6148058, 6148059, 6148060, 6148063, 6148064, 6149003, 6149004, 6149007, 6149016, 6149017, 6149018, 6149019, 6149020, 6149021, 6149024, 6149025, 6149029, 6149030, 6149031, 6149032, 6149036, 6149048, 6149050, 6149051, 6149052, 6150005, 6150006, 6150014, 6150015, 6150016, 6150017, 6150018, 6150019, 6150022, 6150023, 6150024, 6150025, 6150026, 6150027, 6150028, 6150029, 6150037, 6150038, 6151001, 6151002, 6151005, 6151008, 6151009, 6151011, 6151012, 6151013, 6151014, 6151015, 6151017, 6151018, 6151020, 6151021, 6151022, 6151023, 6151024, 6151026, 6151028, 6151029, 6156004, 6156010, 6156011, 6156012, 6156013, 6156014, 6156015, 6156016, 6156019, 6156027, 6156028, 6156029, 6156030, 6156034, 6156036, 6157050, 6157051, 6158014, 6158015, 6158019, 6158020, 6158025, 6158041, 6158057, 6158059, 6158060, 6158061, 6158062, 6158063, 6158076, 6158077, 6158081, 6158084, 6158085, 6158086, 6160039, 6160040, 6160041, 6160044, 6160048, 6160056, 6160057, 6160058, 6160061, 6160062, 6160065, 6160068, 6160069, 6160070, 6160071, 6160072, 6160082, 6160083, 6161001, 6161006, 6161007, 6161035, 6161038, 6161042, 6161043, 6161044, 6161046, 6161047, 6161091, 6161092, 6161093, 6161094, 6161097, 6161098, 6161099, 6161100, 6161101, 6161102, 6161104, 6161105, 6162005, 6162006, 6162007, 6162014, 6162027, 6162028, 6162029, 6162030, 6162031, 6162032, 6162039, 6162040, 6162041, 6162042, 6162043, 6162044, 6162045, 6162046, 6162056, 6162058, 6162061, 6162062, 6162063, 6162064, 6162068, 6162069, 6162070, 6162071, 6162072, 6162075, 6162076, 6163012, 6163013, 6163015, 6163016, 6163017, 6163018, 6163021, 6163022, 6163023, 6163024, 6163025, 6163038, 6163039, 6163040, 6163041, 6163043, 6163044, 6163045, 6163048, 6163050, 6163051, 6163053, 6163054, 6163056, 6163057, 6163058, 6164002, 6164003, 6164004, 6164013, 6164016, 6164017, 6164018, 6164022, 6164023, 6164024, 6167115, 6167116, 6167119, 6167131, 6167134, 6167140, 6167141, 6168018, 6168019, 6168022, 6168023, 6168024, 6168036, 6168044, 6168068, 6168069, 6168072, 6168073, 6168083, 6168084, 6168085, 6168086, 6168089, 6168090, 6168099, 6168100, 6168101, 6168102, 6168103, 6168104, 6168107, 6168108, 6168112, 6169001, 6169002, 6169003, 6169006, 6169007, 6169008, 6169020, 6169025, 6169026, 6169027, 6169028, 6169029, 6169030, 6169031, 6169035, 6169036, 6169037, 6169038, 6169039, 6169041, 6169043, 6169044, 6169047, 6169048, 6169049, 6169050, 6169051, 6169052, 6169053, 6169055, 6169056, 6169057, 6169058, 6169060, 6169079, 6169080, 6169082, 6169083, 6169084, 6169088, 6169089, 6169090, 6169091, 6169092, 6169093, 6169094, 6169096, 6169097, 6169101, 6169103, 6169104, 6169105, 6169106, 6169107, 6170002, 6170006, 6170009, 6170010, 6170011, 6170012, 6170013, 6170014, 6170015, 6170018, 6170031, 6170032, 6170033, 6170034, 6170035, 6170038, 6170039, 6170040, 6170041, 6170045, 6171022, 6171024, 6171034, 6171039, 6171040, 6171041, 6171043, 6171044, 6171045, 6171046, 6171048, 6171049, 6171062, 6171063, 6172001, 6172002, 6172003, 6172006, 6172007, 6172010, 6172069, 6172085, 6172086, 6172087, 6172092, 6172093, 6174010, 6174011, 6174012, 6174013, 6174014, 6174017, 6174018, 6174019, 6174020, 6174021, 6174026, 6174027, 6174031, 6174044, 6174045, 6174046, 6174047, 6174048, 6174049, 6174053, 6174054, 6174055, 6174056, 6174057, 6174058, 6174059, 6174060, 6174069, 6174070, 6174072] final_runlist_run5 = final_runlist_run5_no_minbias + minbias_runs final_runlist_run5.sort() __all__ = ['transverse_run5', 'transverse_run6_iucf', 'transverse_run6', 'long2_run6', 'golden_runlist_c', 'minbias_runs', 'final_runlist_run5']
class Details: def __init__(self, details): self.details = details def __getattr__(self, attr): if attr in self.details: return self.details[attr] else: raise AttributeError('{attr} is not a valid attribute of Details'.format(attr)) @property def all(self): return self.details
class Details: def __init__(self, details): self.details = details def __getattr__(self, attr): if attr in self.details: return self.details[attr] else: raise attribute_error('{attr} is not a valid attribute of Details'.format(attr)) @property def all(self): return self.details
# Aula 18 - Listas (Parte 2) teste = list() teste.append('Marieliton') teste.append(33) galera = list() #galera.append(teste) # fazer isso cria uma dependencia entre as listas galera.append(teste[:]) # isso faz a copia da lista sem criar dependencia print(galera) teste[0] = 'Maria' teste[1] = 22 print(teste) galera.append(teste) print(galera) # --------------------- galera = [['Joao', 19], ['Ana', 31], ['Manoel', 42], ['Maria', 51]] #print(galera[3][0]) #print(galera[2][1]) for pessoa in galera: print(f'{pessoa[0]} tem {pessoa[1]} anos de idade.') # --------------------- galera = list() dado = [] demaior = demenor = 0 for c in range(0, 3): dado.append(str(input('Nome: '))) dado.append(int(input('Idade: '))) galera.append(dado[:]) dado.clear() for pessoa in galera: if pessoa[1] >= 21: print(f'{pessoa[0]} eh maior de idade.') demaior += 1 else: print(f'{pessoa[0]} eh menor de idade.') demenor += 1 print(f'Temos {demaior} maiores e {demenor} menores de idade.')
teste = list() teste.append('Marieliton') teste.append(33) galera = list() galera.append(teste[:]) print(galera) teste[0] = 'Maria' teste[1] = 22 print(teste) galera.append(teste) print(galera) galera = [['Joao', 19], ['Ana', 31], ['Manoel', 42], ['Maria', 51]] for pessoa in galera: print(f'{pessoa[0]} tem {pessoa[1]} anos de idade.') galera = list() dado = [] demaior = demenor = 0 for c in range(0, 3): dado.append(str(input('Nome: '))) dado.append(int(input('Idade: '))) galera.append(dado[:]) dado.clear() for pessoa in galera: if pessoa[1] >= 21: print(f'{pessoa[0]} eh maior de idade.') demaior += 1 else: print(f'{pessoa[0]} eh menor de idade.') demenor += 1 print(f'Temos {demaior} maiores e {demenor} menores de idade.')
expected_output = { "Ethernet1/1": { "advertising_code": "Passive Cu", "cable_attenuation": "0/0/0/0/0 dB for bands 5/7/12.9/25.8/56 " "GHz", "cable_length": 2.0, "cis_part_number": "37-1843-01", "cis_product_id": "QDD-400-CU2M", "cis_version_id": "V01", "cisco_id": "0x18", "clei": "CMPQAGSCAA", "cmis_ver": 4, "date_code": "20031400", "dom_supported": False, "far_end_lanes": "8 lanes aaaaaaaa", "host_electrical_intf": "Undefined", "max_power": 1.5, "media_interface": "copper cable unequalized", "name": "CISCO-LEONI", "near_end_lanes": "none", "nominal_bitrate": 425000, "part_number": "L45593-K218-C20", "power_class": "1 (1.5 W maximum)", "revision": "00", "serial_number": "LCC2411GG1W-A", "vendor_oui": "a8b0ae", "transceiver_present": True, "transceiver_type": "QSFP-DD-400G-COPPER", } }
expected_output = {'Ethernet1/1': {'advertising_code': 'Passive Cu', 'cable_attenuation': '0/0/0/0/0 dB for bands 5/7/12.9/25.8/56 GHz', 'cable_length': 2.0, 'cis_part_number': '37-1843-01', 'cis_product_id': 'QDD-400-CU2M', 'cis_version_id': 'V01', 'cisco_id': '0x18', 'clei': 'CMPQAGSCAA', 'cmis_ver': 4, 'date_code': '20031400', 'dom_supported': False, 'far_end_lanes': '8 lanes aaaaaaaa', 'host_electrical_intf': 'Undefined', 'max_power': 1.5, 'media_interface': 'copper cable unequalized', 'name': 'CISCO-LEONI', 'near_end_lanes': 'none', 'nominal_bitrate': 425000, 'part_number': 'L45593-K218-C20', 'power_class': '1 (1.5 W maximum)', 'revision': '00', 'serial_number': 'LCC2411GG1W-A', 'vendor_oui': 'a8b0ae', 'transceiver_present': True, 'transceiver_type': 'QSFP-DD-400G-COPPER'}}
a=input().split();r=5000 for i in a: if i=='1': r-=500 elif i=='2': r-=800 else: r-=1000 print(r)
a = input().split() r = 5000 for i in a: if i == '1': r -= 500 elif i == '2': r -= 800 else: r -= 1000 print(r)
# https://leetcode.com/problems/clone-graph/description/ # # algorithms # Medium (25.08%) # Total Accepted: 180.2K # Total Submissions: 718.5K # beats 50.23% of python submissions # Definition for a undirected graph node # class UndirectedGraphNode: # def __init__(self, x): # self.label = x # self.neighbors = [] class Solution: # @param node, a undirected graph node # @return a undirected graph node def __init__(self): self.hash_map = {} def cloneGraph(self, node): if not node: return node new_node = UndirectedGraphNode(node.label) self.hash_map[node.label] = new_node for neighbor in node.neighbors: if neighbor.label in self.hash_map: new_node.neighbors.append(self.hash_map[neighbor.label]) else: new_node.neighbors.append(self.cloneGraph(neighbor)) return new_node
class Solution: def __init__(self): self.hash_map = {} def clone_graph(self, node): if not node: return node new_node = undirected_graph_node(node.label) self.hash_map[node.label] = new_node for neighbor in node.neighbors: if neighbor.label in self.hash_map: new_node.neighbors.append(self.hash_map[neighbor.label]) else: new_node.neighbors.append(self.cloneGraph(neighbor)) return new_node
def preprocess_input(date, state_holiday): day, month = (int(date.split(" ")[0]), int(date.split(" ")[1])) if state_holiday == 'a': state_holiday = 1 elif state_holiday == 'b': state_holiday = 2 elif state_holiday == 'c': state_holiday = 3 else: state_holiday = 0 return day, month, state_holiday
def preprocess_input(date, state_holiday): (day, month) = (int(date.split(' ')[0]), int(date.split(' ')[1])) if state_holiday == 'a': state_holiday = 1 elif state_holiday == 'b': state_holiday = 2 elif state_holiday == 'c': state_holiday = 3 else: state_holiday = 0 return (day, month, state_holiday)
class dotDrawText_t(object): # no doc aText=None Color=None Location=None
class Dotdrawtext_T(object): a_text = None color = None location = None
numeros = [-12, 84, 13, 20, -33, 101, 9] def separar(lista): pares = [] impares = [] for numero in lista: if numero%2 == 0: pares.append(numero) else: impares.append(numero) return pares, impares pares, impares = separar(numeros) print(pares) print(impares)
numeros = [-12, 84, 13, 20, -33, 101, 9] def separar(lista): pares = [] impares = [] for numero in lista: if numero % 2 == 0: pares.append(numero) else: impares.append(numero) return (pares, impares) (pares, impares) = separar(numeros) print(pares) print(impares)
# callback handlers: reloaded each time triggered def message1(): # change me print('spamSpamSPAM') # or could build a dialog... def message2(self): print('Ni! Ni!') # change me self.method1() # access the 'Hello' instance...
def message1(): print('spamSpamSPAM') def message2(self): print('Ni! Ni!') self.method1()
class DetailModel: class Mesh: def __init__(self): self.vertices_count = None self.indices_count = None self.uv_map_name = 'Texture' self.bpy_mesh = None self.bpy_material = None def __init__(self): self.shader = None self.texture = None self.mode = None self.mesh = self.Mesh() VERTICES_COUNT_LIMIT = 0x10000
class Detailmodel: class Mesh: def __init__(self): self.vertices_count = None self.indices_count = None self.uv_map_name = 'Texture' self.bpy_mesh = None self.bpy_material = None def __init__(self): self.shader = None self.texture = None self.mode = None self.mesh = self.Mesh() vertices_count_limit = 65536
def fibonacci_numbers(ul: int) -> int: numbers: list = [] a: int = 0 b: int = 1 total: int = 0 while (total <= ul): numbers.append(total) a = b b = total total = a + b return sum(filter(lambda x: not x % 2, numbers)) if __name__ == '__main__': t: int = int(input().strip()) for _x in range(t): n: int = int(input().strip()) print(fibonacci_numbers(n))
def fibonacci_numbers(ul: int) -> int: numbers: list = [] a: int = 0 b: int = 1 total: int = 0 while total <= ul: numbers.append(total) a = b b = total total = a + b return sum(filter(lambda x: not x % 2, numbers)) if __name__ == '__main__': t: int = int(input().strip()) for _x in range(t): n: int = int(input().strip()) print(fibonacci_numbers(n))
nm = input().split() n = int(nm[0]) m = int(nm[1]) mt = [] for _ in range(n): matrix_item = input() mt.append(matrix_item) p=0 print(mt) k = int(input()) for i in range(n): for j in range(m): if(mt[i][j]=="M"): print(i,j) for i in range(n): for j in range(m): print(i,j) if(mt[i][j]=='x'): p=p+1 if(mt[i+1][j]!='x' and i!=n): i=i+1 elif(mt[i-1][j]!='x'): i=i-1 elif(mt[i][j+1]!='x'): j=j+1 if(mt[i][j-1]!='x'): j=j+1 elif(mt[i][j]=='*'): break print(p) if(p==k): print("g") else: print("b")
nm = input().split() n = int(nm[0]) m = int(nm[1]) mt = [] for _ in range(n): matrix_item = input() mt.append(matrix_item) p = 0 print(mt) k = int(input()) for i in range(n): for j in range(m): if mt[i][j] == 'M': print(i, j) for i in range(n): for j in range(m): print(i, j) if mt[i][j] == 'x': p = p + 1 if mt[i + 1][j] != 'x' and i != n: i = i + 1 elif mt[i - 1][j] != 'x': i = i - 1 elif mt[i][j + 1] != 'x': j = j + 1 if mt[i][j - 1] != 'x': j = j + 1 elif mt[i][j] == '*': break print(p) if p == k: print('g') else: print('b')
class Formatter: def __init__(self): pass def format(self, args, data): if args.vba: self.format_VBA(args,data) elif args.csharp: self.format_CSharp(args,data) elif args.cpp: self.format_CPP(args,data) elif args.raw: print(f"[+] will write raw transformed data into [{args.output_file}]") self.format_raw(args,data) else: print(f"[-] no data transformation was provided! exitting.") def format_CPP(self, args, data): shellcode = "\\x" shellcode += "\\x".join(format(b, '02x') for b in data) if args.verbose: print("Your formatted payload is: \n") print(shellcode+ "\n") if args.output_file: self.write_to_file(args, shellcode) return shellcode def format_CSharp(self, args, data): shellcode = '0x' shellcode += ',0x'.join(format(b, '02x') for b in data) if args.verbose: print("Your formatted payload is: \n") print(shellcode + "\n") if args.output_file: self.write_to_file(args, shellcode) return shellcode def format_VBA(self, args, data): shellcode = ','.join(format(b,'') for b in data) shellcode_splitted = shellcode.split(',') for index in range(len(shellcode_splitted)): if index != 0 and index % 50 == 0: shellcode_splitted.insert(index, ' _\n') shellcode = ",".join(shellcode_splitted) shellcode = shellcode.replace("_\n,", "_\n") if args.verbose: print("Your formatted payload is: \n") print(shellcode+ "\n") if args.output_file: self.write_to_file(args, shellcode) return shellcode def format_raw(self, args,data): if args.verbose: print("Your formatted payload is: \n") print(str(data) + "\n") if args.output_file: self.write_to_file(args, data) return data def write_to_file(self, args, data): if args.raw: open(args.output_file, 'wb').write(data) else: open(args.output_file, 'w').write(data) print(f"[+] data written to {args.output_file} successfully!")
class Formatter: def __init__(self): pass def format(self, args, data): if args.vba: self.format_VBA(args, data) elif args.csharp: self.format_CSharp(args, data) elif args.cpp: self.format_CPP(args, data) elif args.raw: print(f'[+] will write raw transformed data into [{args.output_file}]') self.format_raw(args, data) else: print(f'[-] no data transformation was provided! exitting.') def format_cpp(self, args, data): shellcode = '\\x' shellcode += '\\x'.join((format(b, '02x') for b in data)) if args.verbose: print('Your formatted payload is: \n') print(shellcode + '\n') if args.output_file: self.write_to_file(args, shellcode) return shellcode def format_c_sharp(self, args, data): shellcode = '0x' shellcode += ',0x'.join((format(b, '02x') for b in data)) if args.verbose: print('Your formatted payload is: \n') print(shellcode + '\n') if args.output_file: self.write_to_file(args, shellcode) return shellcode def format_vba(self, args, data): shellcode = ','.join((format(b, '') for b in data)) shellcode_splitted = shellcode.split(',') for index in range(len(shellcode_splitted)): if index != 0 and index % 50 == 0: shellcode_splitted.insert(index, ' _\n') shellcode = ','.join(shellcode_splitted) shellcode = shellcode.replace('_\n,', '_\n') if args.verbose: print('Your formatted payload is: \n') print(shellcode + '\n') if args.output_file: self.write_to_file(args, shellcode) return shellcode def format_raw(self, args, data): if args.verbose: print('Your formatted payload is: \n') print(str(data) + '\n') if args.output_file: self.write_to_file(args, data) return data def write_to_file(self, args, data): if args.raw: open(args.output_file, 'wb').write(data) else: open(args.output_file, 'w').write(data) print(f'[+] data written to {args.output_file} successfully!')
M = int(input()) N = int(input())+1 numbers = [] for i in range(M,N): c = 0 for j in range(1,i+1): if i%j == 0: c += 1 if c > 2: break if c == 2: numbers.append(i) if sum(numbers) == 0: print(-1) else: print(sum(numbers),min(numbers),sep='\n')
m = int(input()) n = int(input()) + 1 numbers = [] for i in range(M, N): c = 0 for j in range(1, i + 1): if i % j == 0: c += 1 if c > 2: break if c == 2: numbers.append(i) if sum(numbers) == 0: print(-1) else: print(sum(numbers), min(numbers), sep='\n')
_base_ = ["../../_base_/gdrn_base.py"] OUTPUT_DIR = "output/gdrn_selfocc/lm/mm_r50v1d_a6_cPnP_GN_gelu_lm13" INPUT = dict( DZI_PAD_SCALE=1.5, COLOR_AUG_PROB=0.0, COLOR_AUG_TYPE="code", COLOR_AUG_CODE=( "Sequential([" "Sometimes(0.4, CoarseDropout( p=0.1, size_percent=0.05) )," # "Sometimes(0.5, Affine(scale=(1.0, 1.2)))," "Sometimes(0.5, GaussianBlur(np.random.rand()))," "Sometimes(0.5, Add((-20, 20), per_channel=0.3))," "Sometimes(0.4, Invert(0.20, per_channel=True))," "Sometimes(0.5, Multiply((0.7, 1.4), per_channel=0.8))," "Sometimes(0.5, Multiply((0.7, 1.4)))," "Sometimes(0.5, LinearContrast((0.5, 2.0), per_channel=0.3))" "], random_order=False)" ), ) SOLVER = dict( IMS_PER_BATCH=24, TOTAL_EPOCHS=200, LR_SCHEDULER_NAME="flat_and_anneal", ANNEAL_METHOD="cosine", # "cosine" ANNEAL_POINT=0.72, # REL_STEPS=(0.3125, 0.625, 0.9375), OPTIMIZER_CFG=dict(_delete_=True, type="Ranger", lr=1e-4, weight_decay=0), WEIGHT_DECAY=0.0, WARMUP_FACTOR=0.001, WARMUP_ITERS=1000, ) DATASETS = dict( TRAIN=( "lm_13_train", "lm_imgn_13_train_1k_per_obj", ), # TRAIN2=("lm_imgn_13_train_1k_per_obj",), # TRAIN2_RATIO=0.75, TEST=("lm_13_test",), DET_FILES_TEST=("/home/yan/gdnr_selfocc/datasets/BOP_DATASETS/lm/test/test_bboxes/bbox_faster_all.json",),) MODEL = dict( LOAD_DETS_TEST=True, PIXEL_MEAN=[0.0, 0.0, 0.0], PIXEL_STD=[255.0, 255.0, 255.0], POSE_NET=dict( NAME="GDRN", BACKBONE=dict( FREEZE=False, PRETRAINED="mmcls://resnet50_v1d", INIT_CFG=dict( _delete_=True, type="mm/ResNetV1d", depth=50, in_channels=3, out_indices=(3,), ), ), ## geo head: Mask, XYZ, Region GEO_HEAD=dict( FREEZE=False, INIT_CFG=dict( type="TopDownMaskXyzRegionHead", in_dim=2048, # this is num out channels of backbone conv feature ), NUM_REGIONS=64, ), ## selfocchead Q0 occmask(optional) SELFOCC_HEAD=dict( OCCMASK_AWARE=False, Q0_CLASS_AWARE=False, MASK_CLASS_AWARE=False, FREEZE=False, INIT_CFG=dict( type="ConvSelfoccHead", in_dim=2048, feat_dim=256, feat_kernel_size=3, norm="GN", num_gn_groups=32, act="GELU", # relu | lrelu | silu (swish) | gelu | mish out_kernel_size=1, out_layer_shared=False, Q0_num_classes=1, mask_num_classes=1, ), MIN_Q0_REGION=20, LR_MULT=1.0, REGION_CLASS_AWARE=False, MASK_THR_TEST=0.5, ), PNP_NET=dict( INIT_CFG=dict(norm="GN", act="gelu"), REGION_ATTENTION=True, WITH_2D_COORD=True, ROT_TYPE="allo_rot6d", TRANS_TYPE="centroid_z", ), LOSS_CFG=dict( # xyz loss ---------------------------- XYZ_LOSS_TYPE="L1", # L1 | CE_coor XYZ_LOSS_MASK_GT="visib", # trunc | visib | obj XYZ_LW=1.0, # mask loss --------------------------- MASK_LOSS_TYPE="L1", # L1 | BCE | CE MASK_LOSS_GT="trunc", # trunc | visib | gt MASK_LW=1.0, # region loss ------------------------- REGION_LOSS_TYPE="CE", # CE REGION_LOSS_MASK_GT="visib", # trunc | visib | obj REGION_LW=1.0, # pm loss -------------- PM_R_ONLY=True, # only do R loss in PM PM_LW=1.0, # centroid loss ------- CENTROID_LOSS_TYPE="L1", CENTROID_LW=1.0, # z loss ----------- Z_LOSS_TYPE="L1", Z_LW=1.0, # Q0 loss --------------------- Q0_LOSS_TYPE="L1", Q0_LOSS_MASK_GT="visib", # computed from Q0 Q0_LW=1.0, # cross-task loss ------------------- CT_LW=10.0, CT_P_LW=1.0, # occlusion mask loss weight OCC_LW=0.0, ), ), ) TEST = dict(EVAL_PERIOD=0, VIS=False, TEST_BBOX_TYPE="est") # gt | est TRAIN = dict(CT_START=0.2, CT_P_START=0.2) # we start cross task loss at maxiter*0.2 ''' without denormalization ad_2 23.33 55.38 38.24 51.87 33.43 49.26 23.47 72.77 58.30 32.92 55.57 61.42 40.04 45.85 ad_5 59.05 91.95 81.76 89.47 75.75 89.79 57.75 97.65 95.37 74.79 91.83 95.11 80.45 83.13 ad_10 86.00 99.52 96.57 98.82 95.51 98.61 84.79 99.81 99.71 94.77 99.08 99.42 95.75 96.03 rete_2 75.43 80.12 81.86 84.65 73.25 76.31 73.80 85.63 65.15 76.02 72.73 85.51 69.59 76.93 rete_5 97.24 99.22 99.41 99.21 99.10 98.91 97.93 99.62 97.97 99.05 97.55 99.42 96.22 98.53 rete_10 99.33 99.90 99.80 99.90 99.90 99.80 99.81 99.81 99.81 99.62 99.49 99.71 99.15 99.70 re_2 75.81 80.70 82.45 84.74 73.55 78.00 74.46 86.01 66.31 76.50 72.93 86.08 70.54 77.55 re_5 97.33 99.22 99.41 99.21 99.10 99.31 97.93 99.62 97.97 99.05 97.55 99.42 96.22 98.57 re_10 99.43 99.90 99.80 99.90 99.90 99.80 99.81 99.81 99.81 99.62 99.49 99.71 99.24 99.71 te_2 96.76 98.45 97.84 98.62 98.80 97.13 96.71 98.50 96.43 97.91 97.96 98.08 95.18 97.57 te_5 99.24 100.00 99.80 99.90 99.90 99.41 99.91 99.81 99.81 99.71 99.80 99.71 99.15 99.70 te_10 99.71 100.00 99.90 99.90 100.00 99.90 100.00 99.91 99.90 99.90 99.90 99.71 99.91 99.90 proj_2 95.33 87.49 92.35 92.52 95.01 78.99 94.18 95.02 92.76 96.29 85.50 80.90 86.31 90.20 proj_5 98.48 99.13 99.31 99.61 99.50 99.11 99.15 99.15 99.32 99.52 98.57 98.18 98.11 99.01 proj_10 99.90 100.00 99.90 99.90 99.90 99.80 100.00 99.91 99.90 99.81 99.59 99.71 100.00 99.87 re 1.69 1.47 1.42 1.32 1.63 1.49 1.67 1.27 1.84 1.63 1.74 1.42 1.84 1.57 te 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 Process finished with exit code 0 '''
_base_ = ['../../_base_/gdrn_base.py'] output_dir = 'output/gdrn_selfocc/lm/mm_r50v1d_a6_cPnP_GN_gelu_lm13' input = dict(DZI_PAD_SCALE=1.5, COLOR_AUG_PROB=0.0, COLOR_AUG_TYPE='code', COLOR_AUG_CODE='Sequential([Sometimes(0.4, CoarseDropout( p=0.1, size_percent=0.05) ),Sometimes(0.5, GaussianBlur(np.random.rand())),Sometimes(0.5, Add((-20, 20), per_channel=0.3)),Sometimes(0.4, Invert(0.20, per_channel=True)),Sometimes(0.5, Multiply((0.7, 1.4), per_channel=0.8)),Sometimes(0.5, Multiply((0.7, 1.4))),Sometimes(0.5, LinearContrast((0.5, 2.0), per_channel=0.3))], random_order=False)') solver = dict(IMS_PER_BATCH=24, TOTAL_EPOCHS=200, LR_SCHEDULER_NAME='flat_and_anneal', ANNEAL_METHOD='cosine', ANNEAL_POINT=0.72, OPTIMIZER_CFG=dict(_delete_=True, type='Ranger', lr=0.0001, weight_decay=0), WEIGHT_DECAY=0.0, WARMUP_FACTOR=0.001, WARMUP_ITERS=1000) datasets = dict(TRAIN=('lm_13_train', 'lm_imgn_13_train_1k_per_obj'), TEST=('lm_13_test',), DET_FILES_TEST=('/home/yan/gdnr_selfocc/datasets/BOP_DATASETS/lm/test/test_bboxes/bbox_faster_all.json',)) model = dict(LOAD_DETS_TEST=True, PIXEL_MEAN=[0.0, 0.0, 0.0], PIXEL_STD=[255.0, 255.0, 255.0], POSE_NET=dict(NAME='GDRN', BACKBONE=dict(FREEZE=False, PRETRAINED='mmcls://resnet50_v1d', INIT_CFG=dict(_delete_=True, type='mm/ResNetV1d', depth=50, in_channels=3, out_indices=(3,))), GEO_HEAD=dict(FREEZE=False, INIT_CFG=dict(type='TopDownMaskXyzRegionHead', in_dim=2048), NUM_REGIONS=64), SELFOCC_HEAD=dict(OCCMASK_AWARE=False, Q0_CLASS_AWARE=False, MASK_CLASS_AWARE=False, FREEZE=False, INIT_CFG=dict(type='ConvSelfoccHead', in_dim=2048, feat_dim=256, feat_kernel_size=3, norm='GN', num_gn_groups=32, act='GELU', out_kernel_size=1, out_layer_shared=False, Q0_num_classes=1, mask_num_classes=1), MIN_Q0_REGION=20, LR_MULT=1.0, REGION_CLASS_AWARE=False, MASK_THR_TEST=0.5), PNP_NET=dict(INIT_CFG=dict(norm='GN', act='gelu'), REGION_ATTENTION=True, WITH_2D_COORD=True, ROT_TYPE='allo_rot6d', TRANS_TYPE='centroid_z'), LOSS_CFG=dict(XYZ_LOSS_TYPE='L1', XYZ_LOSS_MASK_GT='visib', XYZ_LW=1.0, MASK_LOSS_TYPE='L1', MASK_LOSS_GT='trunc', MASK_LW=1.0, REGION_LOSS_TYPE='CE', REGION_LOSS_MASK_GT='visib', REGION_LW=1.0, PM_R_ONLY=True, PM_LW=1.0, CENTROID_LOSS_TYPE='L1', CENTROID_LW=1.0, Z_LOSS_TYPE='L1', Z_LW=1.0, Q0_LOSS_TYPE='L1', Q0_LOSS_MASK_GT='visib', Q0_LW=1.0, CT_LW=10.0, CT_P_LW=1.0, OCC_LW=0.0))) test = dict(EVAL_PERIOD=0, VIS=False, TEST_BBOX_TYPE='est') train = dict(CT_START=0.2, CT_P_START=0.2) '\nwithout denormalization\nad_2 23.33 55.38 38.24 51.87 33.43 49.26 23.47 72.77 58.30 32.92 55.57 61.42 40.04 45.85\nad_5 59.05 91.95 81.76 89.47 75.75 89.79 57.75 97.65 95.37 74.79 91.83 95.11 80.45 83.13\nad_10 86.00 99.52 96.57 98.82 95.51 98.61 84.79 99.81 99.71 94.77 99.08 99.42 95.75 96.03\nrete_2 75.43 80.12 81.86 84.65 73.25 76.31 73.80 85.63 65.15 76.02 72.73 85.51 69.59 76.93\nrete_5 97.24 99.22 99.41 99.21 99.10 98.91 97.93 99.62 97.97 99.05 97.55 99.42 96.22 98.53\nrete_10 99.33 99.90 99.80 99.90 99.90 99.80 99.81 99.81 99.81 99.62 99.49 99.71 99.15 99.70\nre_2 75.81 80.70 82.45 84.74 73.55 78.00 74.46 86.01 66.31 76.50 72.93 86.08 70.54 77.55\nre_5 97.33 99.22 99.41 99.21 99.10 99.31 97.93 99.62 97.97 99.05 97.55 99.42 96.22 98.57\nre_10 99.43 99.90 99.80 99.90 99.90 99.80 99.81 99.81 99.81 99.62 99.49 99.71 99.24 99.71\nte_2 96.76 98.45 97.84 98.62 98.80 97.13 96.71 98.50 96.43 97.91 97.96 98.08 95.18 97.57\nte_5 99.24 100.00 99.80 99.90 99.90 99.41 99.91 99.81 99.81 99.71 99.80 99.71 99.15 99.70\nte_10 99.71 100.00 99.90 99.90 100.00 99.90 100.00 99.91 99.90 99.90 99.90 99.71 99.91 99.90\nproj_2 95.33 87.49 92.35 92.52 95.01 78.99 94.18 95.02 92.76 96.29 85.50 80.90 86.31 90.20\nproj_5 98.48 99.13 99.31 99.61 99.50 99.11 99.15 99.15 99.32 99.52 98.57 98.18 98.11 99.01\nproj_10 99.90 100.00 99.90 99.90 99.90 99.80 100.00 99.91 99.90 99.81 99.59 99.71 100.00 99.87\nre 1.69 1.47 1.42 1.32 1.63 1.49 1.67 1.27 1.84 1.63 1.74 1.42 1.84 1.57\nte 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01\n\nProcess finished with exit code 0\n\n'
N,K=map(int,input().split()) x=list(map(int,input().split())) n=N-K+1 left=[0]*n for i in range(n):left[i]=abs(x[i])+abs(x[i]-x[i+K-1]) x=x[::-1] right=[0]*n for i in range(n):right[i]=abs(x[i])+abs(x[i]-x[i+K-1]) print(min(min(left),min(right)))
(n, k) = map(int, input().split()) x = list(map(int, input().split())) n = N - K + 1 left = [0] * n for i in range(n): left[i] = abs(x[i]) + abs(x[i] - x[i + K - 1]) x = x[::-1] right = [0] * n for i in range(n): right[i] = abs(x[i]) + abs(x[i] - x[i + K - 1]) print(min(min(left), min(right)))
''' Created on Mar 13, 2021 @author: mballance ''' print("SystemVerilog generator")
""" Created on Mar 13, 2021 @author: mballance """ print('SystemVerilog generator')
def calc_combinations(names, n, combs=[]): if len(combs) == n: print(", ".join(combs)) for i in range(len(names)): name = names[i] combs.append(name) calc_combinations(names[i+1:], n, combs) combs.pop() names = input().split(", ") n = int(input()) calc_combinations(names, n)
def calc_combinations(names, n, combs=[]): if len(combs) == n: print(', '.join(combs)) for i in range(len(names)): name = names[i] combs.append(name) calc_combinations(names[i + 1:], n, combs) combs.pop() names = input().split(', ') n = int(input()) calc_combinations(names, n)
#! /usr/bin/python3 def partOne(arr): timeStamp = int(arr[0]) busses = [] tmp = [x for x in arr[1].split(',')] for x in tmp: if x != 'x': busses.append(int(x)) maxTime = max(busses) calculateTimeStamp = timeStamp + maxTime # shortest waittime ? # find bus near timestamp busses.sort() sol = {} keys = [] for y in busses: # only calculating the interval tmp = timeStamp - maxTime while tmp < calculateTimeStamp: tmp += 1 if tmp % y == 0 and tmp > timeStamp: sol[tmp] = y keys.append(tmp) keys.sort() earliest_timestamp = keys.pop(0) bus = sol[earliest_timestamp] diff = earliest_timestamp - timeStamp print(bus, diff, bus*diff) def partTwo(arr): # one gold coin for anyone that can find the earliest timestamp such that the first bus ID # departs at that time and each subsequent listed bus ID departs at that subsequent minute tmp = [x for x in arr[1].split(',')] _count = -1 bus_map = {} busses = [] for x in tmp: _count += 1 if x == 'x': continue bus_map[int(x)] = _count busses.append(int(x)) print(busses, bus_map) # timestamp where each bus is one minute appart # finding numbers in series, but the difference from each letters varies _counter = 0 _rem = busses[0] # two values start at different. find point where there are subsequent for i, _b in enumerate(busses): if i + 1 == len(busses): break # next bus value _b = busses[i+1] while (_counter + bus_map[_b]) % _b != 0: _counter += _rem _rem = _rem * _b print(_b, _rem, _counter) print("found", _counter) inputs = [x.strip() for x in open('input.txt', 'r').readlines()] # partOne(inputs) partTwo(inputs)
def part_one(arr): time_stamp = int(arr[0]) busses = [] tmp = [x for x in arr[1].split(',')] for x in tmp: if x != 'x': busses.append(int(x)) max_time = max(busses) calculate_time_stamp = timeStamp + maxTime busses.sort() sol = {} keys = [] for y in busses: tmp = timeStamp - maxTime while tmp < calculateTimeStamp: tmp += 1 if tmp % y == 0 and tmp > timeStamp: sol[tmp] = y keys.append(tmp) keys.sort() earliest_timestamp = keys.pop(0) bus = sol[earliest_timestamp] diff = earliest_timestamp - timeStamp print(bus, diff, bus * diff) def part_two(arr): tmp = [x for x in arr[1].split(',')] _count = -1 bus_map = {} busses = [] for x in tmp: _count += 1 if x == 'x': continue bus_map[int(x)] = _count busses.append(int(x)) print(busses, bus_map) _counter = 0 _rem = busses[0] for (i, _b) in enumerate(busses): if i + 1 == len(busses): break _b = busses[i + 1] while (_counter + bus_map[_b]) % _b != 0: _counter += _rem _rem = _rem * _b print(_b, _rem, _counter) print('found', _counter) inputs = [x.strip() for x in open('input.txt', 'r').readlines()] part_two(inputs)
def main(request, response): if b'mime' in request.GET: return [(b'Content-Type', request.GET[b'mime'])], b"" return [], b""
def main(request, response): if b'mime' in request.GET: return ([(b'Content-Type', request.GET[b'mime'])], b'') return ([], b'')
N = int(input()) if -(2 ** 31) <= N < 2 ** 31: print("Yes") else: print("No")
n = int(input()) if -2 ** 31 <= N < 2 ** 31: print('Yes') else: print('No')
def motif_and_its_rev_comp_counter(motif, sample): counter_of_motif = 0 counter_of_res_comp_motif = 0 for i in range(len(sample)): if sample.startswith(motif, i): counter_of_motif += 1 comp_pairs = {'A': 'T', 'T': 'A', 'C': 'G', 'G': 'C'} rev_comp_of_motif = '' for i in motif: rev_comp_of_motif += comp_pairs[i] rev_comp_of_motif = rev_comp_of_motif[::-1] for i in range(len(sample)): if sample.startswith(rev_comp_of_motif, i): counter_of_res_comp_motif += 1 total_count = counter_of_motif + counter_of_res_comp_motif return f'The total count of the motif and its reverse complement is {total_count}\n' \ f'{counter_of_motif} for the motif, which is {motif}\n' \ f'{counter_of_res_comp_motif} for its reverse complement, which is {rev_comp_of_motif}' # print(motif_and_its_rev_comp_counter('GGTGGTAGG', 'AACTCTATACCTCCTTTTTGTCGAATTTGTGTGATTTATAGAGAAAATCTTATTAACTGAAACTAAAATGGTAGGTTTGGTGGTAGGTTTTGTGTACATTTTGTAGTATCTGATTTTTAATTACATACCGTATATTGTATTAAATTGACGAACAATTGCATGGAATTGAATATATGCAAAACAAACCTACCACCAAACTCTGTATTGACCATTTTAGGACAACTTCAGGGTGGTAGGTTTCTGAAGCTCTCATCAATAGACTATTTTAGTCTTTACAAACAATATTACCGTTCAGATTCAAGATTCTACAACGCTGTTTTAATGGGCGTTGCAGAAAACTTACCACCTAAAATCCAGTATCCAAGCCGATTTCAGAGAAACCTACCACTTACCTACCACTTACCTACCACCCGGGTGGTAAGTTGCAGACATTATTAAAAACCTCATCAGAAGCTTGTTCAAAAATTTCAATACTCGAAACCTACCACCTGCGTCCCCTATTATTTACTACTACTAATAATAGCAGTATAATTGATCTGA'))
def motif_and_its_rev_comp_counter(motif, sample): counter_of_motif = 0 counter_of_res_comp_motif = 0 for i in range(len(sample)): if sample.startswith(motif, i): counter_of_motif += 1 comp_pairs = {'A': 'T', 'T': 'A', 'C': 'G', 'G': 'C'} rev_comp_of_motif = '' for i in motif: rev_comp_of_motif += comp_pairs[i] rev_comp_of_motif = rev_comp_of_motif[::-1] for i in range(len(sample)): if sample.startswith(rev_comp_of_motif, i): counter_of_res_comp_motif += 1 total_count = counter_of_motif + counter_of_res_comp_motif return f'The total count of the motif and its reverse complement is {total_count}\n{counter_of_motif} for the motif, which is {motif}\n{counter_of_res_comp_motif} for its reverse complement, which is {rev_comp_of_motif}'
#!/usr/bin/env python3 # coding: utf8 if __name__ == "__main__": pass
if __name__ == '__main__': pass
def piece_wise_linear_fn(x, y_0,y_1,x_0,x_1): ''' This fn computes y_0 + (y_1 - y_0)/(x_1-x_0)*(x - x_0), i.e. a fn with offset y_0 and slope (y_1 - y_0)/(x_1-x_0) before x_0 the value is returned as y_0 after x_1 the value is returned as y_1 :param y_0: :param y_1: :param x_0: :param x__1: :return: ''' x = max(x,x_0) x = min(x,x_1) if x_1 == x_0: return y_1 return y_0 + ((y_1-y_0)/(x_1-x_0))*(x-x_0)
def piece_wise_linear_fn(x, y_0, y_1, x_0, x_1): """ This fn computes y_0 + (y_1 - y_0)/(x_1-x_0)*(x - x_0), i.e. a fn with offset y_0 and slope (y_1 - y_0)/(x_1-x_0) before x_0 the value is returned as y_0 after x_1 the value is returned as y_1 :param y_0: :param y_1: :param x_0: :param x__1: :return: """ x = max(x, x_0) x = min(x, x_1) if x_1 == x_0: return y_1 return y_0 + (y_1 - y_0) / (x_1 - x_0) * (x - x_0)
# # PySNMP MIB module Nortel-Magellan-Passport-VnsMIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/Nortel-Magellan-Passport-VnsMIB # Produced by pysmi-0.3.4 at Mon Apr 29 20:19:20 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # Integer, ObjectIdentifier, OctetString = mibBuilder.importSymbols("ASN1", "Integer", "ObjectIdentifier", "OctetString") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ValueSizeConstraint, SingleValueConstraint, ConstraintsIntersection, ValueRangeConstraint, ConstraintsUnion = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "SingleValueConstraint", "ConstraintsIntersection", "ValueRangeConstraint", "ConstraintsUnion") rtgIndex, rtg = mibBuilder.importSymbols("Nortel-Magellan-Passport-BaseRoutingMIB", "rtgIndex", "rtg") RowStatus, Integer32, InterfaceIndex, StorageType, Unsigned32, DisplayString, RowPointer, PassportCounter64 = mibBuilder.importSymbols("Nortel-Magellan-Passport-StandardTextualConventionsMIB", "RowStatus", "Integer32", "InterfaceIndex", "StorageType", "Unsigned32", "DisplayString", "RowPointer", "PassportCounter64") AsciiStringIndex, Link = mibBuilder.importSymbols("Nortel-Magellan-Passport-TextualConventionsMIB", "AsciiStringIndex", "Link") passportMIBs, = mibBuilder.importSymbols("Nortel-Magellan-Passport-UsefulDefinitionsMIB", "passportMIBs") ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup") IpAddress, Integer32, Gauge32, ObjectIdentity, MibScalar, MibTable, MibTableRow, MibTableColumn, iso, Bits, Counter64, ModuleIdentity, TimeTicks, Counter32, Unsigned32, NotificationType, MibIdentifier = mibBuilder.importSymbols("SNMPv2-SMI", "IpAddress", "Integer32", "Gauge32", "ObjectIdentity", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "iso", "Bits", "Counter64", "ModuleIdentity", "TimeTicks", "Counter32", "Unsigned32", "NotificationType", "MibIdentifier") TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString") vnsMIB = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 20)) rtgVns = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3)) rtgVnsRowStatusTable = MibTable((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 1), ) if mibBuilder.loadTexts: rtgVnsRowStatusTable.setStatus('mandatory') rtgVnsRowStatusEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 1, 1), ).setIndexNames((0, "Nortel-Magellan-Passport-BaseRoutingMIB", "rtgIndex"), (0, "Nortel-Magellan-Passport-VnsMIB", "rtgVnsIndex")) if mibBuilder.loadTexts: rtgVnsRowStatusEntry.setStatus('mandatory') rtgVnsRowStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 1, 1, 1), RowStatus()).setMaxAccess("readwrite") if mibBuilder.loadTexts: rtgVnsRowStatus.setStatus('mandatory') rtgVnsComponentName = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 1, 1, 2), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsComponentName.setStatus('mandatory') rtgVnsStorageType = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 1, 1, 4), StorageType()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsStorageType.setStatus('mandatory') rtgVnsIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 1, 1, 10), AsciiStringIndex().subtype(subtypeSpec=ValueSizeConstraint(1, 12))) if mibBuilder.loadTexts: rtgVnsIndex.setStatus('mandatory') rtgVnsProvTable = MibTable((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 10), ) if mibBuilder.loadTexts: rtgVnsProvTable.setStatus('mandatory') rtgVnsProvEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 10, 1), ).setIndexNames((0, "Nortel-Magellan-Passport-BaseRoutingMIB", "rtgIndex"), (0, "Nortel-Magellan-Passport-VnsMIB", "rtgVnsIndex")) if mibBuilder.loadTexts: rtgVnsProvEntry.setStatus('mandatory') rtgVnsLogicalNetworkNumber = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 10, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(2, 2047))).setMaxAccess("readwrite") if mibBuilder.loadTexts: rtgVnsLogicalNetworkNumber.setStatus('mandatory') rtgVnsLinkToProtocolPort = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 10, 1, 2), Link()).setMaxAccess("readwrite") if mibBuilder.loadTexts: rtgVnsLinkToProtocolPort.setStatus('mandatory') rtgVnsMaximumTransmissionUnit = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 10, 1, 3), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(2048, 65535)).clone(2048)).setMaxAccess("readwrite") if mibBuilder.loadTexts: rtgVnsMaximumTransmissionUnit.setStatus('mandatory') rtgVnsLoadSharing = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 10, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1))).clone(namedValues=NamedValues(("disabled", 0), ("enabled", 1))).clone('disabled')).setMaxAccess("readwrite") if mibBuilder.loadTexts: rtgVnsLoadSharing.setStatus('mandatory') rtgVnsDiscardPriority = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 10, 1, 5), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 3)).clone(2)).setMaxAccess("readwrite") if mibBuilder.loadTexts: rtgVnsDiscardPriority.setStatus('obsolete') rtgVnsIlsForwarder = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 10, 1, 6), Link()).setMaxAccess("readwrite") if mibBuilder.loadTexts: rtgVnsIlsForwarder.setStatus('mandatory') rtgVnsIfEntryTable = MibTable((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 11), ) if mibBuilder.loadTexts: rtgVnsIfEntryTable.setStatus('mandatory') rtgVnsIfEntryEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 11, 1), ).setIndexNames((0, "Nortel-Magellan-Passport-BaseRoutingMIB", "rtgIndex"), (0, "Nortel-Magellan-Passport-VnsMIB", "rtgVnsIndex")) if mibBuilder.loadTexts: rtgVnsIfEntryEntry.setStatus('mandatory') rtgVnsIfAdminStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 11, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("up", 1), ("down", 2), ("testing", 3))).clone('up')).setMaxAccess("readwrite") if mibBuilder.loadTexts: rtgVnsIfAdminStatus.setStatus('mandatory') rtgVnsIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 11, 1, 2), InterfaceIndex().subtype(subtypeSpec=ValueRangeConstraint(1, 65535))).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsIfIndex.setStatus('mandatory') rtgVnsCidDataTable = MibTable((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 12), ) if mibBuilder.loadTexts: rtgVnsCidDataTable.setStatus('mandatory') rtgVnsCidDataEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 12, 1), ).setIndexNames((0, "Nortel-Magellan-Passport-BaseRoutingMIB", "rtgIndex"), (0, "Nortel-Magellan-Passport-VnsMIB", "rtgVnsIndex")) if mibBuilder.loadTexts: rtgVnsCidDataEntry.setStatus('mandatory') rtgVnsCustomerIdentifier = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 12, 1, 1), Unsigned32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(0, 0), ValueRangeConstraint(1, 8191), ))).setMaxAccess("readwrite") if mibBuilder.loadTexts: rtgVnsCustomerIdentifier.setStatus('mandatory') rtgVnsStateTable = MibTable((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 14), ) if mibBuilder.loadTexts: rtgVnsStateTable.setStatus('mandatory') rtgVnsStateEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 14, 1), ).setIndexNames((0, "Nortel-Magellan-Passport-BaseRoutingMIB", "rtgIndex"), (0, "Nortel-Magellan-Passport-VnsMIB", "rtgVnsIndex")) if mibBuilder.loadTexts: rtgVnsStateEntry.setStatus('mandatory') rtgVnsAdminState = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 14, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2))).clone(namedValues=NamedValues(("locked", 0), ("unlocked", 1), ("shuttingDown", 2))).clone('unlocked')).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsAdminState.setStatus('mandatory') rtgVnsOperationalState = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 14, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1))).clone(namedValues=NamedValues(("disabled", 0), ("enabled", 1))).clone('disabled')).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsOperationalState.setStatus('mandatory') rtgVnsUsageState = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 14, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2))).clone(namedValues=NamedValues(("idle", 0), ("active", 1), ("busy", 2))).clone('idle')).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsUsageState.setStatus('mandatory') rtgVnsOperTable = MibTable((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 15), ) if mibBuilder.loadTexts: rtgVnsOperTable.setStatus('mandatory') rtgVnsOperEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 15, 1), ).setIndexNames((0, "Nortel-Magellan-Passport-BaseRoutingMIB", "rtgIndex"), (0, "Nortel-Magellan-Passport-VnsMIB", "rtgVnsIndex")) if mibBuilder.loadTexts: rtgVnsOperEntry.setStatus('mandatory') rtgVnsReportedThroughputMetric = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 15, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 2147483647))).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsReportedThroughputMetric.setStatus('mandatory') rtgVnsFwdStatsTable = MibTable((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16), ) if mibBuilder.loadTexts: rtgVnsFwdStatsTable.setStatus('mandatory') rtgVnsFwdStatsEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1), ).setIndexNames((0, "Nortel-Magellan-Passport-BaseRoutingMIB", "rtgIndex"), (0, "Nortel-Magellan-Passport-VnsMIB", "rtgVnsIndex")) if mibBuilder.loadTexts: rtgVnsFwdStatsEntry.setStatus('mandatory') rtgVnsUniRxPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 1), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsUniRxPkts.setStatus('mandatory') rtgVnsUniRxBytes = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 2), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsUniRxBytes.setStatus('mandatory') rtgVnsUniRxDiscPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 3), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsUniRxDiscPkts.setStatus('mandatory') rtgVnsUniTxPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 4), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsUniTxPkts.setStatus('mandatory') rtgVnsUniTxBytes = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 5), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsUniTxBytes.setStatus('mandatory') rtgVnsUniTxDiscPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 6), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsUniTxDiscPkts.setStatus('mandatory') rtgVnsMultiRxPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 7), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsMultiRxPkts.setStatus('mandatory') rtgVnsMultiRxBytes = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 8), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsMultiRxBytes.setStatus('mandatory') rtgVnsMultiRxDiscPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 9), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsMultiRxDiscPkts.setStatus('mandatory') rtgVnsMultiTxPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 10), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsMultiTxPkts.setStatus('mandatory') rtgVnsMultiTxBytes = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 11), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsMultiTxBytes.setStatus('mandatory') rtgVnsMultiTxDiscPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 12), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsMultiTxDiscPkts.setStatus('mandatory') rtgVnsTotalRxPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 13), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsTotalRxPkts.setStatus('mandatory') rtgVnsTotalRxBytes = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 14), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsTotalRxBytes.setStatus('mandatory') rtgVnsTotalRxDiscPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 15), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsTotalRxDiscPkts.setStatus('mandatory') rtgVnsTotalTxPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 16), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsTotalTxPkts.setStatus('mandatory') rtgVnsTotalTxBytes = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 17), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsTotalTxBytes.setStatus('mandatory') rtgVnsTotalTxDiscPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 18), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsTotalTxDiscPkts.setStatus('mandatory') rtgVnsNode = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 2)) rtgVnsNodeRowStatusTable = MibTable((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 2, 1), ) if mibBuilder.loadTexts: rtgVnsNodeRowStatusTable.setStatus('mandatory') rtgVnsNodeRowStatusEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 2, 1, 1), ).setIndexNames((0, "Nortel-Magellan-Passport-BaseRoutingMIB", "rtgIndex"), (0, "Nortel-Magellan-Passport-VnsMIB", "rtgVnsIndex"), (0, "Nortel-Magellan-Passport-VnsMIB", "rtgVnsNodeIndex")) if mibBuilder.loadTexts: rtgVnsNodeRowStatusEntry.setStatus('mandatory') rtgVnsNodeRowStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 2, 1, 1, 1), RowStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsNodeRowStatus.setStatus('mandatory') rtgVnsNodeComponentName = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 2, 1, 1, 2), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsNodeComponentName.setStatus('mandatory') rtgVnsNodeStorageType = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 2, 1, 1, 4), StorageType()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsNodeStorageType.setStatus('mandatory') rtgVnsNodeIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 2, 1, 1, 10), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 4095))) if mibBuilder.loadTexts: rtgVnsNodeIndex.setStatus('mandatory') rtgVnsNodeOperTable = MibTable((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 2, 10), ) if mibBuilder.loadTexts: rtgVnsNodeOperTable.setStatus('mandatory') rtgVnsNodeOperEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 2, 10, 1), ).setIndexNames((0, "Nortel-Magellan-Passport-BaseRoutingMIB", "rtgIndex"), (0, "Nortel-Magellan-Passport-VnsMIB", "rtgVnsIndex"), (0, "Nortel-Magellan-Passport-VnsMIB", "rtgVnsNodeIndex")) if mibBuilder.loadTexts: rtgVnsNodeOperEntry.setStatus('mandatory') rtgVnsNodeMetric = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 2, 10, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 2147483647))).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsNodeMetric.setStatus('mandatory') rtgVnsNodeNextHopLinkGroup1 = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 2, 10, 1, 2), RowPointer()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsNodeNextHopLinkGroup1.setStatus('mandatory') rtgVnsNodeNextHopLinkGroup2 = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 2, 10, 1, 3), RowPointer()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsNodeNextHopLinkGroup2.setStatus('mandatory') rtgVnsLpStats = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3)) rtgVnsLpStatsRowStatusTable = MibTable((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 1), ) if mibBuilder.loadTexts: rtgVnsLpStatsRowStatusTable.setStatus('mandatory') rtgVnsLpStatsRowStatusEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 1, 1), ).setIndexNames((0, "Nortel-Magellan-Passport-BaseRoutingMIB", "rtgIndex"), (0, "Nortel-Magellan-Passport-VnsMIB", "rtgVnsIndex"), (0, "Nortel-Magellan-Passport-VnsMIB", "rtgVnsLpStatsIndex")) if mibBuilder.loadTexts: rtgVnsLpStatsRowStatusEntry.setStatus('mandatory') rtgVnsLpStatsRowStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 1, 1, 1), RowStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsLpStatsRowStatus.setStatus('mandatory') rtgVnsLpStatsComponentName = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 1, 1, 2), DisplayString()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsLpStatsComponentName.setStatus('mandatory') rtgVnsLpStatsStorageType = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 1, 1, 4), StorageType()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsLpStatsStorageType.setStatus('mandatory') rtgVnsLpStatsIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 1, 1, 10), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 15))) if mibBuilder.loadTexts: rtgVnsLpStatsIndex.setStatus('mandatory') rtgVnsLpStatsFwdStatsTable = MibTable((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2), ) if mibBuilder.loadTexts: rtgVnsLpStatsFwdStatsTable.setStatus('mandatory') rtgVnsLpStatsFwdStatsEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1), ).setIndexNames((0, "Nortel-Magellan-Passport-BaseRoutingMIB", "rtgIndex"), (0, "Nortel-Magellan-Passport-VnsMIB", "rtgVnsIndex"), (0, "Nortel-Magellan-Passport-VnsMIB", "rtgVnsLpStatsIndex")) if mibBuilder.loadTexts: rtgVnsLpStatsFwdStatsEntry.setStatus('mandatory') rtgVnsLpStatsUniRxPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 1), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsLpStatsUniRxPkts.setStatus('mandatory') rtgVnsLpStatsUniRxBytes = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 2), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsLpStatsUniRxBytes.setStatus('mandatory') rtgVnsLpStatsUniRxDiscPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 3), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsLpStatsUniRxDiscPkts.setStatus('mandatory') rtgVnsLpStatsUniTxPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 4), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsLpStatsUniTxPkts.setStatus('mandatory') rtgVnsLpStatsUniTxBytes = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 5), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsLpStatsUniTxBytes.setStatus('mandatory') rtgVnsLpStatsUniTxDiscPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 6), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsLpStatsUniTxDiscPkts.setStatus('mandatory') rtgVnsLpStatsMultiRxPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 7), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsLpStatsMultiRxPkts.setStatus('mandatory') rtgVnsLpStatsMultiRxBytes = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 8), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsLpStatsMultiRxBytes.setStatus('mandatory') rtgVnsLpStatsMultiRxDiscPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 9), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsLpStatsMultiRxDiscPkts.setStatus('mandatory') rtgVnsLpStatsMultiTxPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 10), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsLpStatsMultiTxPkts.setStatus('mandatory') rtgVnsLpStatsMultiTxBytes = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 11), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsLpStatsMultiTxBytes.setStatus('mandatory') rtgVnsLpStatsMultiTxDiscPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 12), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsLpStatsMultiTxDiscPkts.setStatus('mandatory') rtgVnsLpStatsTotalRxPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 13), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsLpStatsTotalRxPkts.setStatus('mandatory') rtgVnsLpStatsTotalRxBytes = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 14), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsLpStatsTotalRxBytes.setStatus('mandatory') rtgVnsLpStatsTotalRxDiscPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 15), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsLpStatsTotalRxDiscPkts.setStatus('mandatory') rtgVnsLpStatsTotalTxPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 16), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsLpStatsTotalTxPkts.setStatus('mandatory') rtgVnsLpStatsTotalTxBytes = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 17), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsLpStatsTotalTxBytes.setStatus('mandatory') rtgVnsLpStatsTotalTxDiscPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 18), PassportCounter64()).setMaxAccess("readonly") if mibBuilder.loadTexts: rtgVnsLpStatsTotalTxDiscPkts.setStatus('mandatory') vnsGroup = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 20, 1)) vnsGroupBD = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 20, 1, 4)) vnsGroupBD00 = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 20, 1, 4, 1)) vnsGroupBD00A = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 20, 1, 4, 1, 2)) vnsCapabilities = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 20, 3)) vnsCapabilitiesBD = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 20, 3, 4)) vnsCapabilitiesBD00 = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 20, 3, 4, 1)) vnsCapabilitiesBD00A = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 20, 3, 4, 1, 2)) mibBuilder.exportSymbols("Nortel-Magellan-Passport-VnsMIB", rtgVnsMultiRxBytes=rtgVnsMultiRxBytes, vnsCapabilities=vnsCapabilities, rtgVnsLpStatsUniRxDiscPkts=rtgVnsLpStatsUniRxDiscPkts, rtgVnsFwdStatsTable=rtgVnsFwdStatsTable, rtgVnsComponentName=rtgVnsComponentName, rtgVnsIfEntryTable=rtgVnsIfEntryTable, rtgVnsProvEntry=rtgVnsProvEntry, rtgVnsIfIndex=rtgVnsIfIndex, rtgVnsNodeRowStatusTable=rtgVnsNodeRowStatusTable, rtgVnsLpStatsMultiRxPkts=rtgVnsLpStatsMultiRxPkts, rtgVnsStateEntry=rtgVnsStateEntry, rtgVnsRowStatusEntry=rtgVnsRowStatusEntry, rtgVns=rtgVns, rtgVnsTotalRxPkts=rtgVnsTotalRxPkts, rtgVnsFwdStatsEntry=rtgVnsFwdStatsEntry, rtgVnsLpStatsTotalTxDiscPkts=rtgVnsLpStatsTotalTxDiscPkts, rtgVnsNodeMetric=rtgVnsNodeMetric, rtgVnsMultiTxDiscPkts=rtgVnsMultiTxDiscPkts, rtgVnsLpStatsTotalRxPkts=rtgVnsLpStatsTotalRxPkts, rtgVnsIfAdminStatus=rtgVnsIfAdminStatus, rtgVnsLpStats=rtgVnsLpStats, vnsGroupBD=vnsGroupBD, rtgVnsLpStatsTotalTxBytes=rtgVnsLpStatsTotalTxBytes, rtgVnsIfEntryEntry=rtgVnsIfEntryEntry, rtgVnsMaximumTransmissionUnit=rtgVnsMaximumTransmissionUnit, vnsCapabilitiesBD00=vnsCapabilitiesBD00, rtgVnsDiscardPriority=rtgVnsDiscardPriority, rtgVnsProvTable=rtgVnsProvTable, rtgVnsLpStatsUniTxBytes=rtgVnsLpStatsUniTxBytes, vnsCapabilitiesBD00A=vnsCapabilitiesBD00A, rtgVnsLogicalNetworkNumber=rtgVnsLogicalNetworkNumber, rtgVnsLpStatsMultiTxDiscPkts=rtgVnsLpStatsMultiTxDiscPkts, rtgVnsMultiTxBytes=rtgVnsMultiTxBytes, vnsGroupBD00A=vnsGroupBD00A, rtgVnsRowStatus=rtgVnsRowStatus, rtgVnsLinkToProtocolPort=rtgVnsLinkToProtocolPort, rtgVnsStorageType=rtgVnsStorageType, rtgVnsNodeRowStatusEntry=rtgVnsNodeRowStatusEntry, rtgVnsTotalRxBytes=rtgVnsTotalRxBytes, rtgVnsLpStatsFwdStatsTable=rtgVnsLpStatsFwdStatsTable, rtgVnsRowStatusTable=rtgVnsRowStatusTable, rtgVnsNodeIndex=rtgVnsNodeIndex, rtgVnsCustomerIdentifier=rtgVnsCustomerIdentifier, rtgVnsIndex=rtgVnsIndex, rtgVnsUniRxDiscPkts=rtgVnsUniRxDiscPkts, rtgVnsUniTxDiscPkts=rtgVnsUniTxDiscPkts, vnsGroupBD00=vnsGroupBD00, vnsCapabilitiesBD=vnsCapabilitiesBD, rtgVnsReportedThroughputMetric=rtgVnsReportedThroughputMetric, rtgVnsLpStatsUniTxPkts=rtgVnsLpStatsUniTxPkts, rtgVnsLpStatsComponentName=rtgVnsLpStatsComponentName, rtgVnsNodeOperEntry=rtgVnsNodeOperEntry, rtgVnsLpStatsRowStatusEntry=rtgVnsLpStatsRowStatusEntry, rtgVnsLpStatsRowStatus=rtgVnsLpStatsRowStatus, vnsGroup=vnsGroup, rtgVnsOperationalState=rtgVnsOperationalState, rtgVnsUsageState=rtgVnsUsageState, rtgVnsTotalTxDiscPkts=rtgVnsTotalTxDiscPkts, rtgVnsLpStatsMultiTxBytes=rtgVnsLpStatsMultiTxBytes, rtgVnsMultiRxDiscPkts=rtgVnsMultiRxDiscPkts, rtgVnsLpStatsRowStatusTable=rtgVnsLpStatsRowStatusTable, rtgVnsNodeNextHopLinkGroup2=rtgVnsNodeNextHopLinkGroup2, rtgVnsUniTxBytes=rtgVnsUniTxBytes, rtgVnsUniTxPkts=rtgVnsUniTxPkts, rtgVnsTotalTxPkts=rtgVnsTotalTxPkts, rtgVnsLpStatsIndex=rtgVnsLpStatsIndex, rtgVnsNodeComponentName=rtgVnsNodeComponentName, rtgVnsNodeRowStatus=rtgVnsNodeRowStatus, rtgVnsStateTable=rtgVnsStateTable, rtgVnsAdminState=rtgVnsAdminState, rtgVnsLpStatsTotalTxPkts=rtgVnsLpStatsTotalTxPkts, rtgVnsTotalTxBytes=rtgVnsTotalTxBytes, rtgVnsCidDataTable=rtgVnsCidDataTable, rtgVnsLoadSharing=rtgVnsLoadSharing, rtgVnsNodeStorageType=rtgVnsNodeStorageType, rtgVnsLpStatsMultiRxBytes=rtgVnsLpStatsMultiRxBytes, rtgVnsTotalRxDiscPkts=rtgVnsTotalRxDiscPkts, rtgVnsLpStatsFwdStatsEntry=rtgVnsLpStatsFwdStatsEntry, vnsMIB=vnsMIB, rtgVnsCidDataEntry=rtgVnsCidDataEntry, rtgVnsLpStatsMultiRxDiscPkts=rtgVnsLpStatsMultiRxDiscPkts, rtgVnsNodeNextHopLinkGroup1=rtgVnsNodeNextHopLinkGroup1, rtgVnsOperTable=rtgVnsOperTable, rtgVnsLpStatsStorageType=rtgVnsLpStatsStorageType, rtgVnsUniRxPkts=rtgVnsUniRxPkts, rtgVnsOperEntry=rtgVnsOperEntry, rtgVnsMultiTxPkts=rtgVnsMultiTxPkts, rtgVnsLpStatsTotalRxDiscPkts=rtgVnsLpStatsTotalRxDiscPkts, rtgVnsNodeOperTable=rtgVnsNodeOperTable, rtgVnsLpStatsUniRxBytes=rtgVnsLpStatsUniRxBytes, rtgVnsIlsForwarder=rtgVnsIlsForwarder, rtgVnsLpStatsUniTxDiscPkts=rtgVnsLpStatsUniTxDiscPkts, rtgVnsNode=rtgVnsNode, rtgVnsLpStatsTotalRxBytes=rtgVnsLpStatsTotalRxBytes, rtgVnsLpStatsMultiTxPkts=rtgVnsLpStatsMultiTxPkts, rtgVnsMultiRxPkts=rtgVnsMultiRxPkts, rtgVnsUniRxBytes=rtgVnsUniRxBytes, rtgVnsLpStatsUniRxPkts=rtgVnsLpStatsUniRxPkts)
(integer, object_identifier, octet_string) = mibBuilder.importSymbols('ASN1', 'Integer', 'ObjectIdentifier', 'OctetString') (named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues') (value_size_constraint, single_value_constraint, constraints_intersection, value_range_constraint, constraints_union) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ValueSizeConstraint', 'SingleValueConstraint', 'ConstraintsIntersection', 'ValueRangeConstraint', 'ConstraintsUnion') (rtg_index, rtg) = mibBuilder.importSymbols('Nortel-Magellan-Passport-BaseRoutingMIB', 'rtgIndex', 'rtg') (row_status, integer32, interface_index, storage_type, unsigned32, display_string, row_pointer, passport_counter64) = mibBuilder.importSymbols('Nortel-Magellan-Passport-StandardTextualConventionsMIB', 'RowStatus', 'Integer32', 'InterfaceIndex', 'StorageType', 'Unsigned32', 'DisplayString', 'RowPointer', 'PassportCounter64') (ascii_string_index, link) = mibBuilder.importSymbols('Nortel-Magellan-Passport-TextualConventionsMIB', 'AsciiStringIndex', 'Link') (passport_mi_bs,) = mibBuilder.importSymbols('Nortel-Magellan-Passport-UsefulDefinitionsMIB', 'passportMIBs') (module_compliance, notification_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ModuleCompliance', 'NotificationGroup') (ip_address, integer32, gauge32, object_identity, mib_scalar, mib_table, mib_table_row, mib_table_column, iso, bits, counter64, module_identity, time_ticks, counter32, unsigned32, notification_type, mib_identifier) = mibBuilder.importSymbols('SNMPv2-SMI', 'IpAddress', 'Integer32', 'Gauge32', 'ObjectIdentity', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'iso', 'Bits', 'Counter64', 'ModuleIdentity', 'TimeTicks', 'Counter32', 'Unsigned32', 'NotificationType', 'MibIdentifier') (textual_convention, display_string) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'DisplayString') vns_mib = mib_identifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 20)) rtg_vns = mib_identifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3)) rtg_vns_row_status_table = mib_table((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 1)) if mibBuilder.loadTexts: rtgVnsRowStatusTable.setStatus('mandatory') rtg_vns_row_status_entry = mib_table_row((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 1, 1)).setIndexNames((0, 'Nortel-Magellan-Passport-BaseRoutingMIB', 'rtgIndex'), (0, 'Nortel-Magellan-Passport-VnsMIB', 'rtgVnsIndex')) if mibBuilder.loadTexts: rtgVnsRowStatusEntry.setStatus('mandatory') rtg_vns_row_status = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 1, 1, 1), row_status()).setMaxAccess('readwrite') if mibBuilder.loadTexts: rtgVnsRowStatus.setStatus('mandatory') rtg_vns_component_name = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 1, 1, 2), display_string()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsComponentName.setStatus('mandatory') rtg_vns_storage_type = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 1, 1, 4), storage_type()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsStorageType.setStatus('mandatory') rtg_vns_index = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 1, 1, 10), ascii_string_index().subtype(subtypeSpec=value_size_constraint(1, 12))) if mibBuilder.loadTexts: rtgVnsIndex.setStatus('mandatory') rtg_vns_prov_table = mib_table((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 10)) if mibBuilder.loadTexts: rtgVnsProvTable.setStatus('mandatory') rtg_vns_prov_entry = mib_table_row((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 10, 1)).setIndexNames((0, 'Nortel-Magellan-Passport-BaseRoutingMIB', 'rtgIndex'), (0, 'Nortel-Magellan-Passport-VnsMIB', 'rtgVnsIndex')) if mibBuilder.loadTexts: rtgVnsProvEntry.setStatus('mandatory') rtg_vns_logical_network_number = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 10, 1, 1), unsigned32().subtype(subtypeSpec=value_range_constraint(2, 2047))).setMaxAccess('readwrite') if mibBuilder.loadTexts: rtgVnsLogicalNetworkNumber.setStatus('mandatory') rtg_vns_link_to_protocol_port = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 10, 1, 2), link()).setMaxAccess('readwrite') if mibBuilder.loadTexts: rtgVnsLinkToProtocolPort.setStatus('mandatory') rtg_vns_maximum_transmission_unit = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 10, 1, 3), unsigned32().subtype(subtypeSpec=value_range_constraint(2048, 65535)).clone(2048)).setMaxAccess('readwrite') if mibBuilder.loadTexts: rtgVnsMaximumTransmissionUnit.setStatus('mandatory') rtg_vns_load_sharing = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 10, 1, 4), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(0, 1))).clone(namedValues=named_values(('disabled', 0), ('enabled', 1))).clone('disabled')).setMaxAccess('readwrite') if mibBuilder.loadTexts: rtgVnsLoadSharing.setStatus('mandatory') rtg_vns_discard_priority = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 10, 1, 5), unsigned32().subtype(subtypeSpec=value_range_constraint(0, 3)).clone(2)).setMaxAccess('readwrite') if mibBuilder.loadTexts: rtgVnsDiscardPriority.setStatus('obsolete') rtg_vns_ils_forwarder = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 10, 1, 6), link()).setMaxAccess('readwrite') if mibBuilder.loadTexts: rtgVnsIlsForwarder.setStatus('mandatory') rtg_vns_if_entry_table = mib_table((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 11)) if mibBuilder.loadTexts: rtgVnsIfEntryTable.setStatus('mandatory') rtg_vns_if_entry_entry = mib_table_row((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 11, 1)).setIndexNames((0, 'Nortel-Magellan-Passport-BaseRoutingMIB', 'rtgIndex'), (0, 'Nortel-Magellan-Passport-VnsMIB', 'rtgVnsIndex')) if mibBuilder.loadTexts: rtgVnsIfEntryEntry.setStatus('mandatory') rtg_vns_if_admin_status = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 11, 1, 1), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('up', 1), ('down', 2), ('testing', 3))).clone('up')).setMaxAccess('readwrite') if mibBuilder.loadTexts: rtgVnsIfAdminStatus.setStatus('mandatory') rtg_vns_if_index = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 11, 1, 2), interface_index().subtype(subtypeSpec=value_range_constraint(1, 65535))).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsIfIndex.setStatus('mandatory') rtg_vns_cid_data_table = mib_table((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 12)) if mibBuilder.loadTexts: rtgVnsCidDataTable.setStatus('mandatory') rtg_vns_cid_data_entry = mib_table_row((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 12, 1)).setIndexNames((0, 'Nortel-Magellan-Passport-BaseRoutingMIB', 'rtgIndex'), (0, 'Nortel-Magellan-Passport-VnsMIB', 'rtgVnsIndex')) if mibBuilder.loadTexts: rtgVnsCidDataEntry.setStatus('mandatory') rtg_vns_customer_identifier = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 12, 1, 1), unsigned32().subtype(subtypeSpec=constraints_union(value_range_constraint(0, 0), value_range_constraint(1, 8191)))).setMaxAccess('readwrite') if mibBuilder.loadTexts: rtgVnsCustomerIdentifier.setStatus('mandatory') rtg_vns_state_table = mib_table((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 14)) if mibBuilder.loadTexts: rtgVnsStateTable.setStatus('mandatory') rtg_vns_state_entry = mib_table_row((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 14, 1)).setIndexNames((0, 'Nortel-Magellan-Passport-BaseRoutingMIB', 'rtgIndex'), (0, 'Nortel-Magellan-Passport-VnsMIB', 'rtgVnsIndex')) if mibBuilder.loadTexts: rtgVnsStateEntry.setStatus('mandatory') rtg_vns_admin_state = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 14, 1, 1), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(0, 1, 2))).clone(namedValues=named_values(('locked', 0), ('unlocked', 1), ('shuttingDown', 2))).clone('unlocked')).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsAdminState.setStatus('mandatory') rtg_vns_operational_state = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 14, 1, 2), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(0, 1))).clone(namedValues=named_values(('disabled', 0), ('enabled', 1))).clone('disabled')).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsOperationalState.setStatus('mandatory') rtg_vns_usage_state = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 14, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(0, 1, 2))).clone(namedValues=named_values(('idle', 0), ('active', 1), ('busy', 2))).clone('idle')).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsUsageState.setStatus('mandatory') rtg_vns_oper_table = mib_table((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 15)) if mibBuilder.loadTexts: rtgVnsOperTable.setStatus('mandatory') rtg_vns_oper_entry = mib_table_row((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 15, 1)).setIndexNames((0, 'Nortel-Magellan-Passport-BaseRoutingMIB', 'rtgIndex'), (0, 'Nortel-Magellan-Passport-VnsMIB', 'rtgVnsIndex')) if mibBuilder.loadTexts: rtgVnsOperEntry.setStatus('mandatory') rtg_vns_reported_throughput_metric = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 15, 1, 1), unsigned32().subtype(subtypeSpec=value_range_constraint(0, 2147483647))).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsReportedThroughputMetric.setStatus('mandatory') rtg_vns_fwd_stats_table = mib_table((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16)) if mibBuilder.loadTexts: rtgVnsFwdStatsTable.setStatus('mandatory') rtg_vns_fwd_stats_entry = mib_table_row((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1)).setIndexNames((0, 'Nortel-Magellan-Passport-BaseRoutingMIB', 'rtgIndex'), (0, 'Nortel-Magellan-Passport-VnsMIB', 'rtgVnsIndex')) if mibBuilder.loadTexts: rtgVnsFwdStatsEntry.setStatus('mandatory') rtg_vns_uni_rx_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 1), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsUniRxPkts.setStatus('mandatory') rtg_vns_uni_rx_bytes = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 2), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsUniRxBytes.setStatus('mandatory') rtg_vns_uni_rx_disc_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 3), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsUniRxDiscPkts.setStatus('mandatory') rtg_vns_uni_tx_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 4), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsUniTxPkts.setStatus('mandatory') rtg_vns_uni_tx_bytes = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 5), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsUniTxBytes.setStatus('mandatory') rtg_vns_uni_tx_disc_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 6), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsUniTxDiscPkts.setStatus('mandatory') rtg_vns_multi_rx_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 7), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsMultiRxPkts.setStatus('mandatory') rtg_vns_multi_rx_bytes = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 8), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsMultiRxBytes.setStatus('mandatory') rtg_vns_multi_rx_disc_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 9), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsMultiRxDiscPkts.setStatus('mandatory') rtg_vns_multi_tx_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 10), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsMultiTxPkts.setStatus('mandatory') rtg_vns_multi_tx_bytes = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 11), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsMultiTxBytes.setStatus('mandatory') rtg_vns_multi_tx_disc_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 12), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsMultiTxDiscPkts.setStatus('mandatory') rtg_vns_total_rx_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 13), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsTotalRxPkts.setStatus('mandatory') rtg_vns_total_rx_bytes = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 14), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsTotalRxBytes.setStatus('mandatory') rtg_vns_total_rx_disc_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 15), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsTotalRxDiscPkts.setStatus('mandatory') rtg_vns_total_tx_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 16), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsTotalTxPkts.setStatus('mandatory') rtg_vns_total_tx_bytes = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 17), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsTotalTxBytes.setStatus('mandatory') rtg_vns_total_tx_disc_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 16, 1, 18), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsTotalTxDiscPkts.setStatus('mandatory') rtg_vns_node = mib_identifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 2)) rtg_vns_node_row_status_table = mib_table((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 2, 1)) if mibBuilder.loadTexts: rtgVnsNodeRowStatusTable.setStatus('mandatory') rtg_vns_node_row_status_entry = mib_table_row((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 2, 1, 1)).setIndexNames((0, 'Nortel-Magellan-Passport-BaseRoutingMIB', 'rtgIndex'), (0, 'Nortel-Magellan-Passport-VnsMIB', 'rtgVnsIndex'), (0, 'Nortel-Magellan-Passport-VnsMIB', 'rtgVnsNodeIndex')) if mibBuilder.loadTexts: rtgVnsNodeRowStatusEntry.setStatus('mandatory') rtg_vns_node_row_status = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 2, 1, 1, 1), row_status()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsNodeRowStatus.setStatus('mandatory') rtg_vns_node_component_name = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 2, 1, 1, 2), display_string()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsNodeComponentName.setStatus('mandatory') rtg_vns_node_storage_type = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 2, 1, 1, 4), storage_type()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsNodeStorageType.setStatus('mandatory') rtg_vns_node_index = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 2, 1, 1, 10), integer32().subtype(subtypeSpec=value_range_constraint(1, 4095))) if mibBuilder.loadTexts: rtgVnsNodeIndex.setStatus('mandatory') rtg_vns_node_oper_table = mib_table((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 2, 10)) if mibBuilder.loadTexts: rtgVnsNodeOperTable.setStatus('mandatory') rtg_vns_node_oper_entry = mib_table_row((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 2, 10, 1)).setIndexNames((0, 'Nortel-Magellan-Passport-BaseRoutingMIB', 'rtgIndex'), (0, 'Nortel-Magellan-Passport-VnsMIB', 'rtgVnsIndex'), (0, 'Nortel-Magellan-Passport-VnsMIB', 'rtgVnsNodeIndex')) if mibBuilder.loadTexts: rtgVnsNodeOperEntry.setStatus('mandatory') rtg_vns_node_metric = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 2, 10, 1, 1), unsigned32().subtype(subtypeSpec=value_range_constraint(0, 2147483647))).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsNodeMetric.setStatus('mandatory') rtg_vns_node_next_hop_link_group1 = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 2, 10, 1, 2), row_pointer()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsNodeNextHopLinkGroup1.setStatus('mandatory') rtg_vns_node_next_hop_link_group2 = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 2, 10, 1, 3), row_pointer()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsNodeNextHopLinkGroup2.setStatus('mandatory') rtg_vns_lp_stats = mib_identifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3)) rtg_vns_lp_stats_row_status_table = mib_table((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 1)) if mibBuilder.loadTexts: rtgVnsLpStatsRowStatusTable.setStatus('mandatory') rtg_vns_lp_stats_row_status_entry = mib_table_row((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 1, 1)).setIndexNames((0, 'Nortel-Magellan-Passport-BaseRoutingMIB', 'rtgIndex'), (0, 'Nortel-Magellan-Passport-VnsMIB', 'rtgVnsIndex'), (0, 'Nortel-Magellan-Passport-VnsMIB', 'rtgVnsLpStatsIndex')) if mibBuilder.loadTexts: rtgVnsLpStatsRowStatusEntry.setStatus('mandatory') rtg_vns_lp_stats_row_status = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 1, 1, 1), row_status()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsLpStatsRowStatus.setStatus('mandatory') rtg_vns_lp_stats_component_name = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 1, 1, 2), display_string()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsLpStatsComponentName.setStatus('mandatory') rtg_vns_lp_stats_storage_type = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 1, 1, 4), storage_type()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsLpStatsStorageType.setStatus('mandatory') rtg_vns_lp_stats_index = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 1, 1, 10), integer32().subtype(subtypeSpec=value_range_constraint(0, 15))) if mibBuilder.loadTexts: rtgVnsLpStatsIndex.setStatus('mandatory') rtg_vns_lp_stats_fwd_stats_table = mib_table((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2)) if mibBuilder.loadTexts: rtgVnsLpStatsFwdStatsTable.setStatus('mandatory') rtg_vns_lp_stats_fwd_stats_entry = mib_table_row((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1)).setIndexNames((0, 'Nortel-Magellan-Passport-BaseRoutingMIB', 'rtgIndex'), (0, 'Nortel-Magellan-Passport-VnsMIB', 'rtgVnsIndex'), (0, 'Nortel-Magellan-Passport-VnsMIB', 'rtgVnsLpStatsIndex')) if mibBuilder.loadTexts: rtgVnsLpStatsFwdStatsEntry.setStatus('mandatory') rtg_vns_lp_stats_uni_rx_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 1), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsLpStatsUniRxPkts.setStatus('mandatory') rtg_vns_lp_stats_uni_rx_bytes = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 2), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsLpStatsUniRxBytes.setStatus('mandatory') rtg_vns_lp_stats_uni_rx_disc_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 3), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsLpStatsUniRxDiscPkts.setStatus('mandatory') rtg_vns_lp_stats_uni_tx_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 4), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsLpStatsUniTxPkts.setStatus('mandatory') rtg_vns_lp_stats_uni_tx_bytes = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 5), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsLpStatsUniTxBytes.setStatus('mandatory') rtg_vns_lp_stats_uni_tx_disc_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 6), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsLpStatsUniTxDiscPkts.setStatus('mandatory') rtg_vns_lp_stats_multi_rx_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 7), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsLpStatsMultiRxPkts.setStatus('mandatory') rtg_vns_lp_stats_multi_rx_bytes = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 8), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsLpStatsMultiRxBytes.setStatus('mandatory') rtg_vns_lp_stats_multi_rx_disc_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 9), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsLpStatsMultiRxDiscPkts.setStatus('mandatory') rtg_vns_lp_stats_multi_tx_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 10), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsLpStatsMultiTxPkts.setStatus('mandatory') rtg_vns_lp_stats_multi_tx_bytes = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 11), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsLpStatsMultiTxBytes.setStatus('mandatory') rtg_vns_lp_stats_multi_tx_disc_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 12), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsLpStatsMultiTxDiscPkts.setStatus('mandatory') rtg_vns_lp_stats_total_rx_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 13), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsLpStatsTotalRxPkts.setStatus('mandatory') rtg_vns_lp_stats_total_rx_bytes = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 14), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsLpStatsTotalRxBytes.setStatus('mandatory') rtg_vns_lp_stats_total_rx_disc_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 15), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsLpStatsTotalRxDiscPkts.setStatus('mandatory') rtg_vns_lp_stats_total_tx_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 16), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsLpStatsTotalTxPkts.setStatus('mandatory') rtg_vns_lp_stats_total_tx_bytes = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 17), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsLpStatsTotalTxBytes.setStatus('mandatory') rtg_vns_lp_stats_total_tx_disc_pkts = mib_table_column((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 40, 3, 3, 2, 1, 18), passport_counter64()).setMaxAccess('readonly') if mibBuilder.loadTexts: rtgVnsLpStatsTotalTxDiscPkts.setStatus('mandatory') vns_group = mib_identifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 20, 1)) vns_group_bd = mib_identifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 20, 1, 4)) vns_group_bd00 = mib_identifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 20, 1, 4, 1)) vns_group_bd00_a = mib_identifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 20, 1, 4, 1, 2)) vns_capabilities = mib_identifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 20, 3)) vns_capabilities_bd = mib_identifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 20, 3, 4)) vns_capabilities_bd00 = mib_identifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 20, 3, 4, 1)) vns_capabilities_bd00_a = mib_identifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 20, 3, 4, 1, 2)) mibBuilder.exportSymbols('Nortel-Magellan-Passport-VnsMIB', rtgVnsMultiRxBytes=rtgVnsMultiRxBytes, vnsCapabilities=vnsCapabilities, rtgVnsLpStatsUniRxDiscPkts=rtgVnsLpStatsUniRxDiscPkts, rtgVnsFwdStatsTable=rtgVnsFwdStatsTable, rtgVnsComponentName=rtgVnsComponentName, rtgVnsIfEntryTable=rtgVnsIfEntryTable, rtgVnsProvEntry=rtgVnsProvEntry, rtgVnsIfIndex=rtgVnsIfIndex, rtgVnsNodeRowStatusTable=rtgVnsNodeRowStatusTable, rtgVnsLpStatsMultiRxPkts=rtgVnsLpStatsMultiRxPkts, rtgVnsStateEntry=rtgVnsStateEntry, rtgVnsRowStatusEntry=rtgVnsRowStatusEntry, rtgVns=rtgVns, rtgVnsTotalRxPkts=rtgVnsTotalRxPkts, rtgVnsFwdStatsEntry=rtgVnsFwdStatsEntry, rtgVnsLpStatsTotalTxDiscPkts=rtgVnsLpStatsTotalTxDiscPkts, rtgVnsNodeMetric=rtgVnsNodeMetric, rtgVnsMultiTxDiscPkts=rtgVnsMultiTxDiscPkts, rtgVnsLpStatsTotalRxPkts=rtgVnsLpStatsTotalRxPkts, rtgVnsIfAdminStatus=rtgVnsIfAdminStatus, rtgVnsLpStats=rtgVnsLpStats, vnsGroupBD=vnsGroupBD, rtgVnsLpStatsTotalTxBytes=rtgVnsLpStatsTotalTxBytes, rtgVnsIfEntryEntry=rtgVnsIfEntryEntry, rtgVnsMaximumTransmissionUnit=rtgVnsMaximumTransmissionUnit, vnsCapabilitiesBD00=vnsCapabilitiesBD00, rtgVnsDiscardPriority=rtgVnsDiscardPriority, rtgVnsProvTable=rtgVnsProvTable, rtgVnsLpStatsUniTxBytes=rtgVnsLpStatsUniTxBytes, vnsCapabilitiesBD00A=vnsCapabilitiesBD00A, rtgVnsLogicalNetworkNumber=rtgVnsLogicalNetworkNumber, rtgVnsLpStatsMultiTxDiscPkts=rtgVnsLpStatsMultiTxDiscPkts, rtgVnsMultiTxBytes=rtgVnsMultiTxBytes, vnsGroupBD00A=vnsGroupBD00A, rtgVnsRowStatus=rtgVnsRowStatus, rtgVnsLinkToProtocolPort=rtgVnsLinkToProtocolPort, rtgVnsStorageType=rtgVnsStorageType, rtgVnsNodeRowStatusEntry=rtgVnsNodeRowStatusEntry, rtgVnsTotalRxBytes=rtgVnsTotalRxBytes, rtgVnsLpStatsFwdStatsTable=rtgVnsLpStatsFwdStatsTable, rtgVnsRowStatusTable=rtgVnsRowStatusTable, rtgVnsNodeIndex=rtgVnsNodeIndex, rtgVnsCustomerIdentifier=rtgVnsCustomerIdentifier, rtgVnsIndex=rtgVnsIndex, rtgVnsUniRxDiscPkts=rtgVnsUniRxDiscPkts, rtgVnsUniTxDiscPkts=rtgVnsUniTxDiscPkts, vnsGroupBD00=vnsGroupBD00, vnsCapabilitiesBD=vnsCapabilitiesBD, rtgVnsReportedThroughputMetric=rtgVnsReportedThroughputMetric, rtgVnsLpStatsUniTxPkts=rtgVnsLpStatsUniTxPkts, rtgVnsLpStatsComponentName=rtgVnsLpStatsComponentName, rtgVnsNodeOperEntry=rtgVnsNodeOperEntry, rtgVnsLpStatsRowStatusEntry=rtgVnsLpStatsRowStatusEntry, rtgVnsLpStatsRowStatus=rtgVnsLpStatsRowStatus, vnsGroup=vnsGroup, rtgVnsOperationalState=rtgVnsOperationalState, rtgVnsUsageState=rtgVnsUsageState, rtgVnsTotalTxDiscPkts=rtgVnsTotalTxDiscPkts, rtgVnsLpStatsMultiTxBytes=rtgVnsLpStatsMultiTxBytes, rtgVnsMultiRxDiscPkts=rtgVnsMultiRxDiscPkts, rtgVnsLpStatsRowStatusTable=rtgVnsLpStatsRowStatusTable, rtgVnsNodeNextHopLinkGroup2=rtgVnsNodeNextHopLinkGroup2, rtgVnsUniTxBytes=rtgVnsUniTxBytes, rtgVnsUniTxPkts=rtgVnsUniTxPkts, rtgVnsTotalTxPkts=rtgVnsTotalTxPkts, rtgVnsLpStatsIndex=rtgVnsLpStatsIndex, rtgVnsNodeComponentName=rtgVnsNodeComponentName, rtgVnsNodeRowStatus=rtgVnsNodeRowStatus, rtgVnsStateTable=rtgVnsStateTable, rtgVnsAdminState=rtgVnsAdminState, rtgVnsLpStatsTotalTxPkts=rtgVnsLpStatsTotalTxPkts, rtgVnsTotalTxBytes=rtgVnsTotalTxBytes, rtgVnsCidDataTable=rtgVnsCidDataTable, rtgVnsLoadSharing=rtgVnsLoadSharing, rtgVnsNodeStorageType=rtgVnsNodeStorageType, rtgVnsLpStatsMultiRxBytes=rtgVnsLpStatsMultiRxBytes, rtgVnsTotalRxDiscPkts=rtgVnsTotalRxDiscPkts, rtgVnsLpStatsFwdStatsEntry=rtgVnsLpStatsFwdStatsEntry, vnsMIB=vnsMIB, rtgVnsCidDataEntry=rtgVnsCidDataEntry, rtgVnsLpStatsMultiRxDiscPkts=rtgVnsLpStatsMultiRxDiscPkts, rtgVnsNodeNextHopLinkGroup1=rtgVnsNodeNextHopLinkGroup1, rtgVnsOperTable=rtgVnsOperTable, rtgVnsLpStatsStorageType=rtgVnsLpStatsStorageType, rtgVnsUniRxPkts=rtgVnsUniRxPkts, rtgVnsOperEntry=rtgVnsOperEntry, rtgVnsMultiTxPkts=rtgVnsMultiTxPkts, rtgVnsLpStatsTotalRxDiscPkts=rtgVnsLpStatsTotalRxDiscPkts, rtgVnsNodeOperTable=rtgVnsNodeOperTable, rtgVnsLpStatsUniRxBytes=rtgVnsLpStatsUniRxBytes, rtgVnsIlsForwarder=rtgVnsIlsForwarder, rtgVnsLpStatsUniTxDiscPkts=rtgVnsLpStatsUniTxDiscPkts, rtgVnsNode=rtgVnsNode, rtgVnsLpStatsTotalRxBytes=rtgVnsLpStatsTotalRxBytes, rtgVnsLpStatsMultiTxPkts=rtgVnsLpStatsMultiTxPkts, rtgVnsMultiRxPkts=rtgVnsMultiRxPkts, rtgVnsUniRxBytes=rtgVnsUniRxBytes, rtgVnsLpStatsUniRxPkts=rtgVnsLpStatsUniRxPkts)
def selection_sort(ar): n = len(ar) for k in range(n): minimal = k for j in range(k + 1, n): if ar[j] < ar[minimal]: minimal = j print(k, j, minimal, ar) ar[k], ar[minimal] = ar[minimal], ar[k] return ar ar = [1, 5, 2, 7, 9, 6] res = selection_sort(ar) print("Finally result: ", res)
def selection_sort(ar): n = len(ar) for k in range(n): minimal = k for j in range(k + 1, n): if ar[j] < ar[minimal]: minimal = j print(k, j, minimal, ar) (ar[k], ar[minimal]) = (ar[minimal], ar[k]) return ar ar = [1, 5, 2, 7, 9, 6] res = selection_sort(ar) print('Finally result: ', res)
# The Nexus software is licensed under the BSD 2-Clause license. # # You should have recieved a copy of this license with the software. # If you did not, you can find one at the following link. # # http://opensource.org/licenses/bsd-license.php (i,j,k) = (x,y,z) entitylist.append(["fish",(x,y,z),7,7,(i,j,k),3,False]) self.client.sendServerMessage("A fish was created.")
(i, j, k) = (x, y, z) entitylist.append(['fish', (x, y, z), 7, 7, (i, j, k), 3, False]) self.client.sendServerMessage('A fish was created.')
# # PySNMP MIB module ONEACCESS-BRIDGE-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ONEACCESS-BRIDGE-MIB # Produced by pysmi-0.3.4 at Wed May 1 14:34:13 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # Integer, ObjectIdentifier, OctetString = mibBuilder.importSymbols("ASN1", "Integer", "ObjectIdentifier", "OctetString") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ValueSizeConstraint, ConstraintsUnion, ConstraintsIntersection, SingleValueConstraint, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "ConstraintsUnion", "ConstraintsIntersection", "SingleValueConstraint", "ValueRangeConstraint") InterfaceIndex, ifIndex = mibBuilder.importSymbols("IF-MIB", "InterfaceIndex", "ifIndex") oacExpIMIp, oacMIBModules = mibBuilder.importSymbols("ONEACCESS-GLOBAL-REG", "oacExpIMIp", "oacMIBModules") ObjectGroup, NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "ObjectGroup", "NotificationGroup", "ModuleCompliance") IpAddress, MibIdentifier, ModuleIdentity, Integer32, Unsigned32, TimeTicks, NotificationType, iso, Bits, MibScalar, MibTable, MibTableRow, MibTableColumn, Gauge32, ObjectIdentity, Counter32, Counter64 = mibBuilder.importSymbols("SNMPv2-SMI", "IpAddress", "MibIdentifier", "ModuleIdentity", "Integer32", "Unsigned32", "TimeTicks", "NotificationType", "iso", "Bits", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Gauge32", "ObjectIdentity", "Counter32", "Counter64") DisplayString, TruthValue, RowStatus, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TruthValue", "RowStatus", "TextualConvention") oacBridgeMIB = ModuleIdentity((1, 3, 6, 1, 4, 1, 13191, 1, 100, 682)) oacBridgeMIB.setRevisions(('2011-06-15 00:00', '2010-07-08 10:00',)) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): if mibBuilder.loadTexts: oacBridgeMIB.setRevisionsDescriptions(('Removed the Deprecated group. fixed some minor corrections.', 'This MIB defines configuration capabilities relating to Bridge Group on interfaces.',)) if mibBuilder.loadTexts: oacBridgeMIB.setLastUpdated('201106150000Z') if mibBuilder.loadTexts: oacBridgeMIB.setOrganization(' OneAccess ') if mibBuilder.loadTexts: oacBridgeMIB.setContactInfo('Pascal KESTELOOT Postal: ONE ACCESS 381 Avenue du Gnral de Gaulle 92140 Clamart, France FRANCE Tel: (+33) 01 41 87 70 00 Fax: (+33) 01 41 87 74 00 E-mail: pascal.kesteloot@oneaccess-net.com') if mibBuilder.loadTexts: oacBridgeMIB.setDescription('Contact updated') oacBridgeObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7)) oacBridgeConfigObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 1)) oacBridgeConformance = MibIdentifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 10)) oacBridgeGroupTable = MibTable((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 1, 1), ) if mibBuilder.loadTexts: oacBridgeGroupTable.setStatus('current') if mibBuilder.loadTexts: oacBridgeGroupTable.setDescription('This table contains the bridge group configuration on interfaces.') oacBridgeGroupEntry = MibTableRow((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 1, 1, 1), ).setIndexNames((0, "ONEACCESS-BRIDGE-MIB", "oacBridgeGroupValue")) if mibBuilder.loadTexts: oacBridgeGroupEntry.setStatus('current') if mibBuilder.loadTexts: oacBridgeGroupEntry.setDescription('An entry in this table defines a Bridged interface.') oacBridgeGroupValue = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 1, 1, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 255))).setMaxAccess("readcreate") if mibBuilder.loadTexts: oacBridgeGroupValue.setStatus('current') if mibBuilder.loadTexts: oacBridgeGroupValue.setDescription('The Value of a bridge group to assign to an interface') oacBridgeTransparency = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 1, 1, 1, 2), TruthValue().clone('false')).setMaxAccess("readcreate") if mibBuilder.loadTexts: oacBridgeTransparency.setStatus('current') if mibBuilder.loadTexts: oacBridgeTransparency.setDescription('Activation of the transparency of a bridge group') oacBridgeGroupRowStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 1, 1, 1, 3), RowStatus()).setMaxAccess("readcreate") if mibBuilder.loadTexts: oacBridgeGroupRowStatus.setStatus('current') if mibBuilder.loadTexts: oacBridgeGroupRowStatus.setDescription('This object allows the creation, modification, or deletion of the row') oacBridgeGroupInterfaceTable = MibTable((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 1, 2), ) if mibBuilder.loadTexts: oacBridgeGroupInterfaceTable.setStatus('current') if mibBuilder.loadTexts: oacBridgeGroupInterfaceTable.setDescription('Table for configuration of Bridge Group per Interface') oacBridgeGroupInterfaceEntry = MibTableRow((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 1, 2, 1), ).setIndexNames((0, "IF-MIB", "ifIndex")) if mibBuilder.loadTexts: oacBridgeGroupInterfaceEntry.setStatus('current') if mibBuilder.loadTexts: oacBridgeGroupInterfaceEntry.setDescription('An entry in Bridge Group table.') oacInBridgeGroupValue = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 1, 2, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 255))).setMaxAccess("readcreate") if mibBuilder.loadTexts: oacInBridgeGroupValue.setStatus('current') if mibBuilder.loadTexts: oacInBridgeGroupValue.setDescription('The Value of a bridge group to assign to an interface') oacBridgeGroupInterfaceName = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 1, 2, 1, 2), DisplayString()).setMaxAccess("readcreate") if mibBuilder.loadTexts: oacBridgeGroupInterfaceName.setStatus('current') if mibBuilder.loadTexts: oacBridgeGroupInterfaceName.setDescription('The name of the interface to which the bridge group is applied. This is read-only ') oacBridgeGroupInterfaceRowStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 1, 2, 1, 3), RowStatus()).setMaxAccess("readcreate") if mibBuilder.loadTexts: oacBridgeGroupInterfaceRowStatus.setStatus('current') if mibBuilder.loadTexts: oacBridgeGroupInterfaceRowStatus.setDescription('The row status for this entry.') oacBridgeGroupConfigGroups = MibIdentifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 10, 1)) oacBridgeGroupConfigGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 10, 1, 1)).setObjects(("ONEACCESS-BRIDGE-MIB", "oacBridgeGroupValue"), ("ONEACCESS-BRIDGE-MIB", "oacBridgeGroupInterfaceName")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): oacBridgeGroupConfigGroup = oacBridgeGroupConfigGroup.setStatus('current') if mibBuilder.loadTexts: oacBridgeGroupConfigGroup.setDescription('Group of Bridge Group objects') oacBridgeGroupCompls = MibIdentifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 10, 2)) mibBuilder.exportSymbols("ONEACCESS-BRIDGE-MIB", oacBridgeMIB=oacBridgeMIB, oacBridgeGroupEntry=oacBridgeGroupEntry, oacBridgeConfigObjects=oacBridgeConfigObjects, oacBridgeTransparency=oacBridgeTransparency, oacBridgeConformance=oacBridgeConformance, oacBridgeGroupRowStatus=oacBridgeGroupRowStatus, PYSNMP_MODULE_ID=oacBridgeMIB, oacBridgeGroupInterfaceTable=oacBridgeGroupInterfaceTable, oacBridgeGroupInterfaceEntry=oacBridgeGroupInterfaceEntry, oacBridgeGroupInterfaceName=oacBridgeGroupInterfaceName, oacInBridgeGroupValue=oacInBridgeGroupValue, oacBridgeGroupConfigGroup=oacBridgeGroupConfigGroup, oacBridgeObjects=oacBridgeObjects, oacBridgeGroupConfigGroups=oacBridgeGroupConfigGroups, oacBridgeGroupValue=oacBridgeGroupValue, oacBridgeGroupCompls=oacBridgeGroupCompls, oacBridgeGroupInterfaceRowStatus=oacBridgeGroupInterfaceRowStatus, oacBridgeGroupTable=oacBridgeGroupTable)
(integer, object_identifier, octet_string) = mibBuilder.importSymbols('ASN1', 'Integer', 'ObjectIdentifier', 'OctetString') (named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues') (value_size_constraint, constraints_union, constraints_intersection, single_value_constraint, value_range_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ValueSizeConstraint', 'ConstraintsUnion', 'ConstraintsIntersection', 'SingleValueConstraint', 'ValueRangeConstraint') (interface_index, if_index) = mibBuilder.importSymbols('IF-MIB', 'InterfaceIndex', 'ifIndex') (oac_exp_im_ip, oac_mib_modules) = mibBuilder.importSymbols('ONEACCESS-GLOBAL-REG', 'oacExpIMIp', 'oacMIBModules') (object_group, notification_group, module_compliance) = mibBuilder.importSymbols('SNMPv2-CONF', 'ObjectGroup', 'NotificationGroup', 'ModuleCompliance') (ip_address, mib_identifier, module_identity, integer32, unsigned32, time_ticks, notification_type, iso, bits, mib_scalar, mib_table, mib_table_row, mib_table_column, gauge32, object_identity, counter32, counter64) = mibBuilder.importSymbols('SNMPv2-SMI', 'IpAddress', 'MibIdentifier', 'ModuleIdentity', 'Integer32', 'Unsigned32', 'TimeTicks', 'NotificationType', 'iso', 'Bits', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'Gauge32', 'ObjectIdentity', 'Counter32', 'Counter64') (display_string, truth_value, row_status, textual_convention) = mibBuilder.importSymbols('SNMPv2-TC', 'DisplayString', 'TruthValue', 'RowStatus', 'TextualConvention') oac_bridge_mib = module_identity((1, 3, 6, 1, 4, 1, 13191, 1, 100, 682)) oacBridgeMIB.setRevisions(('2011-06-15 00:00', '2010-07-08 10:00')) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): if mibBuilder.loadTexts: oacBridgeMIB.setRevisionsDescriptions(('Removed the Deprecated group. fixed some minor corrections.', 'This MIB defines configuration capabilities relating to Bridge Group on interfaces.')) if mibBuilder.loadTexts: oacBridgeMIB.setLastUpdated('201106150000Z') if mibBuilder.loadTexts: oacBridgeMIB.setOrganization(' OneAccess ') if mibBuilder.loadTexts: oacBridgeMIB.setContactInfo('Pascal KESTELOOT Postal: ONE ACCESS 381 Avenue du Gnral de Gaulle 92140 Clamart, France FRANCE Tel: (+33) 01 41 87 70 00 Fax: (+33) 01 41 87 74 00 E-mail: pascal.kesteloot@oneaccess-net.com') if mibBuilder.loadTexts: oacBridgeMIB.setDescription('Contact updated') oac_bridge_objects = mib_identifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7)) oac_bridge_config_objects = mib_identifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 1)) oac_bridge_conformance = mib_identifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 10)) oac_bridge_group_table = mib_table((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 1, 1)) if mibBuilder.loadTexts: oacBridgeGroupTable.setStatus('current') if mibBuilder.loadTexts: oacBridgeGroupTable.setDescription('This table contains the bridge group configuration on interfaces.') oac_bridge_group_entry = mib_table_row((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 1, 1, 1)).setIndexNames((0, 'ONEACCESS-BRIDGE-MIB', 'oacBridgeGroupValue')) if mibBuilder.loadTexts: oacBridgeGroupEntry.setStatus('current') if mibBuilder.loadTexts: oacBridgeGroupEntry.setDescription('An entry in this table defines a Bridged interface.') oac_bridge_group_value = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 1, 1, 1, 1), unsigned32().subtype(subtypeSpec=value_range_constraint(1, 255))).setMaxAccess('readcreate') if mibBuilder.loadTexts: oacBridgeGroupValue.setStatus('current') if mibBuilder.loadTexts: oacBridgeGroupValue.setDescription('The Value of a bridge group to assign to an interface') oac_bridge_transparency = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 1, 1, 1, 2), truth_value().clone('false')).setMaxAccess('readcreate') if mibBuilder.loadTexts: oacBridgeTransparency.setStatus('current') if mibBuilder.loadTexts: oacBridgeTransparency.setDescription('Activation of the transparency of a bridge group') oac_bridge_group_row_status = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 1, 1, 1, 3), row_status()).setMaxAccess('readcreate') if mibBuilder.loadTexts: oacBridgeGroupRowStatus.setStatus('current') if mibBuilder.loadTexts: oacBridgeGroupRowStatus.setDescription('This object allows the creation, modification, or deletion of the row') oac_bridge_group_interface_table = mib_table((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 1, 2)) if mibBuilder.loadTexts: oacBridgeGroupInterfaceTable.setStatus('current') if mibBuilder.loadTexts: oacBridgeGroupInterfaceTable.setDescription('Table for configuration of Bridge Group per Interface') oac_bridge_group_interface_entry = mib_table_row((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 1, 2, 1)).setIndexNames((0, 'IF-MIB', 'ifIndex')) if mibBuilder.loadTexts: oacBridgeGroupInterfaceEntry.setStatus('current') if mibBuilder.loadTexts: oacBridgeGroupInterfaceEntry.setDescription('An entry in Bridge Group table.') oac_in_bridge_group_value = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 1, 2, 1, 1), unsigned32().subtype(subtypeSpec=value_range_constraint(1, 255))).setMaxAccess('readcreate') if mibBuilder.loadTexts: oacInBridgeGroupValue.setStatus('current') if mibBuilder.loadTexts: oacInBridgeGroupValue.setDescription('The Value of a bridge group to assign to an interface') oac_bridge_group_interface_name = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 1, 2, 1, 2), display_string()).setMaxAccess('readcreate') if mibBuilder.loadTexts: oacBridgeGroupInterfaceName.setStatus('current') if mibBuilder.loadTexts: oacBridgeGroupInterfaceName.setDescription('The name of the interface to which the bridge group is applied. This is read-only ') oac_bridge_group_interface_row_status = mib_table_column((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 1, 2, 1, 3), row_status()).setMaxAccess('readcreate') if mibBuilder.loadTexts: oacBridgeGroupInterfaceRowStatus.setStatus('current') if mibBuilder.loadTexts: oacBridgeGroupInterfaceRowStatus.setDescription('The row status for this entry.') oac_bridge_group_config_groups = mib_identifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 10, 1)) oac_bridge_group_config_group = object_group((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 10, 1, 1)).setObjects(('ONEACCESS-BRIDGE-MIB', 'oacBridgeGroupValue'), ('ONEACCESS-BRIDGE-MIB', 'oacBridgeGroupInterfaceName')) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): oac_bridge_group_config_group = oacBridgeGroupConfigGroup.setStatus('current') if mibBuilder.loadTexts: oacBridgeGroupConfigGroup.setDescription('Group of Bridge Group objects') oac_bridge_group_compls = mib_identifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 1, 7, 10, 2)) mibBuilder.exportSymbols('ONEACCESS-BRIDGE-MIB', oacBridgeMIB=oacBridgeMIB, oacBridgeGroupEntry=oacBridgeGroupEntry, oacBridgeConfigObjects=oacBridgeConfigObjects, oacBridgeTransparency=oacBridgeTransparency, oacBridgeConformance=oacBridgeConformance, oacBridgeGroupRowStatus=oacBridgeGroupRowStatus, PYSNMP_MODULE_ID=oacBridgeMIB, oacBridgeGroupInterfaceTable=oacBridgeGroupInterfaceTable, oacBridgeGroupInterfaceEntry=oacBridgeGroupInterfaceEntry, oacBridgeGroupInterfaceName=oacBridgeGroupInterfaceName, oacInBridgeGroupValue=oacInBridgeGroupValue, oacBridgeGroupConfigGroup=oacBridgeGroupConfigGroup, oacBridgeObjects=oacBridgeObjects, oacBridgeGroupConfigGroups=oacBridgeGroupConfigGroups, oacBridgeGroupValue=oacBridgeGroupValue, oacBridgeGroupCompls=oacBridgeGroupCompls, oacBridgeGroupInterfaceRowStatus=oacBridgeGroupInterfaceRowStatus, oacBridgeGroupTable=oacBridgeGroupTable)
data = ( ((-0.010000, -0.090000), (-0.010000, -0.040000)), ((0.589999, -0.040000), (0.730000, -0.040000)), ((0.990000, -0.980000), (0.990000, -0.840000)), ((0.630000, -0.490000), (0.630000, -0.480000)), ((-0.300000, 0.160000), (-0.250000, 0.160000)), ((0.440000, -0.190000), (0.440000, -0.240000)), ((0.150000, -0.630000), (0.150000, -0.680000)), ((0.429999, -0.540000), (0.290000, -0.540000)), ((-0.690001, 0.200000), (-0.750000, 0.200000)), ((0.929999, -0.580000), (0.929999, -0.490000)), ((-0.900001, -0.440000), (-0.950001, -0.440000)), ((-0.840000, 0.840000), (-0.840000, 0.800000)), ((0.679999, 0.150000), (0.679999, 0.200000)), ((-0.250000, 0.540000), (-0.350000, 0.540000)), ((0.290000, 0.360000), (0.290000, 0.440000)), ((-0.840000, 0.000000), (-0.840000, -0.050000)), ((0.530000, 0.550000), (0.589999, 0.550000)), ((-0.010000, 0.740000), (-0.050000, 0.740000)), ((-0.100000, 0.010000), (-0.100000, -0.040000)), ((-0.590000, -0.430000), (-0.540000, -0.430000)), ((0.429999, 0.010000), (0.530000, 0.010000)), ((0.139999, 0.690000), (0.139999, 0.750000)), ((-0.700001, 0.650000), (-0.700001, 0.700000)), ((-0.590000, -0.730000), (-0.500000, -0.730000)), ((-0.500000, -0.930000), (-0.440001, -0.930000)), ((-0.110001, -0.690000), (-0.110001, -0.590000)), ((0.000000, 0.310000), (0.000000, 0.300000)), ((0.440000, 0.750000), (0.490000, 0.750000)), ((-0.550000, -0.690000), (-0.550000, -0.640000)), ((0.880000, 0.490000), (0.830000, 0.490000)), ((0.730000, 0.490000), (0.730000, 0.500000)), ((-0.390000, -0.980000), (-0.010000, -0.980000)), ((-0.260000, -0.190000), (-0.260000, -0.140000)), ((0.349999, -0.680000), (0.480000, -0.680000)), ((0.250000, 0.250000), (0.250000, 0.060000)), ((-0.360001, 0.850000), (-0.310000, 0.850000)), ((1.000000, 1.000000), (1.000000, -0.990000)), ((0.040000, 0.050000), (-0.010000, 0.050000)), ((0.740000, -0.980000), (0.990000, -0.980000)), ((-0.250000, 0.160000), (-0.250000, 0.050000)), ((-0.210000, 0.390000), (-0.210000, 0.440000)), ((0.540000, -0.440000), (0.530000, -0.440000)), ((0.290000, -0.540000), (0.290000, -0.480000)), ((-0.890000, 0.350000), (-0.890000, 0.210000)), ((0.929999, -0.490000), (0.889999, -0.490000)), ((-0.950001, -0.540000), (-0.950001, -0.530000)), ((0.190000, -0.200000), (0.150000, -0.200000)), ((0.040000, 0.940000), (-0.050000, 0.940000)), ((-0.740001, 0.690000), (-0.790000, 0.690000)), ((0.679999, 0.200000), (0.589999, 0.200000)), ((-0.400001, 0.490000), (-0.400001, 0.500000)), ((0.040000, -0.690000), (0.000000, -0.690000)), ((-0.690001, 0.100000), (-0.740001, 0.100000)), ((0.490000, 0.440000), (0.490000, 0.390000)), ((-0.010000, 0.500000), (-0.010000, 0.740000)), ((-0.110001, 0.010000), (-0.100000, 0.010000)), ((-0.740001, -0.300000), (-0.740001, -0.380000)), ((0.429999, 0.000000), (0.429999, 0.010000)), ((0.139999, 0.750000), (0.150000, 0.750000)), ((-0.500000, -0.730000), (-0.500000, -0.680000)), ((-0.440001, -0.930000), (-0.440001, -0.940000)), ((0.089999, -0.790000), (-0.010000, -0.790000)), ((0.000000, 0.300000), (-0.160001, 0.300000)), ((0.250000, 0.940000), (0.250000, 0.850000)), ((-0.550000, -0.640000), (-0.700001, -0.640000)), ((0.880000, 0.390000), (0.730000, 0.390000)), ((0.830000, 0.440000), (0.830000, 0.450000)), ((-0.300000, -0.790000), (-0.300000, -0.840000)), ((-0.310000, -0.190000), (-0.260000, -0.190000)), ((0.540000, -0.840000), (0.540000, -0.890000)), ((0.380000, 0.060000), (0.490000, 0.060000)), ((-0.360001, 0.840000), (-0.360001, 0.850000)), ((-0.060000, -0.100000), (-0.060000, -0.090000)), ((0.580000, -0.050000), (0.530000, -0.050000)), ((-0.250000, 0.050000), (-0.260000, 0.050000)), ((0.339999, -0.240000), (0.339999, -0.190000)), ((-0.800000, 0.350000), (-0.890000, 0.350000)), ((-0.950001, -0.430000), (-0.900001, -0.430000)), ((-0.160001, -0.690000), (-0.210000, -0.690000)), ((0.730000, 0.690000), (0.730000, 0.840000)), ((-0.800000, 0.590000), (-0.800000, 0.640000)), ((0.589999, 0.200000), (0.589999, 0.100000)), ((-0.350000, 0.490000), (-0.400001, 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((0.839999, 0.64), (0.83, 0.64)), ((-0.8, -0.83), (-0.79, -0.83)), ((-0.75, 0.7), (-0.75, 0.79)), ((0.25, 0.85), (0.389999, 0.85)), ((-0.79, -0.59), (-0.79, -0.63)), ((0.73, 0.39), (0.73, 0.4)), ((-0.25, -0.15), (-0.25, -0.19)), ((0.49, -0.68), (0.54, -0.68)), ((-0.360001, 0.94), (-0.400001, 0.94)), ((0.0, 0.06), (0.049999, 0.06)), ((0.53, -0.05), (0.53, -0.04)), ((0.19, 0.84), (-0.01, 0.84)), ((0.839999, -0.73), (0.94, -0.73)), ((0.58, -0.43), (0.63, -0.43)), ((0.099999, -0.83), (0.19, -0.83)), ((0.299999, -0.49), (0.299999, -0.53)), ((-0.89, 0.1), (-0.900001, 0.1)), ((0.79, -0.69), (0.78, -0.69)), ((0.299999, -0.2), (0.2, -0.2)), ((0.54, 0.69), (0.429999, 0.69)), ((-0.79, 0.44), (-0.89, 0.44)), ((-0.25, 0.59), (-0.25, 0.54)), ((0.19, 0.45), (0.389999, 0.45)), ((0.19, -0.53), (0.2, -0.53)), ((-0.1, 0.64), (-0.1, 0.59)), ((-0.05, -0.05), (-0.1, -0.05)), ((-0.54, -0.43), (-0.54, -0.63)), ((0.389999, -0.09), (0.389999, -0.14)), ((-0.21, 0.55), (-0.160001, 0.55)), ((-0.59, 0.7), (-0.54, 0.7)), ((-0.79, -0.83), (-0.79, -0.98)), ((0.44, 0.8), (0.44, 0.75)), ((-0.79, -0.63), (-0.740001, -0.63)), ((0.889999, 0.36), (0.94, 0.36)), ((-0.01, -0.98), (-0.01, -0.88)), ((-0.200001, -0.15), (-0.25, -0.15)), ((0.69, -0.73), (0.69, -0.83)), ((0.58, 0.21), (0.679999, 0.21)), ((-0.360001, 0.89), (-0.360001, 0.94)), ((0.04, -0.04), (0.04, 0.05)), ((0.58, 0.01), (0.589999, 0.01)), ((0.94, -0.73), (0.94, -0.74)), ((-0.25, 0.39), (-0.3, 0.39)), ((0.54, -0.39), (0.54, -0.44)), ((0.099999, -0.78), (0.099999, -0.83)), ((0.83, -0.58), (0.83, -0.49)), ((-0.64, -0.94), (-0.75, -0.94)), ((0.299999, -0.1), (0.299999, -0.2)), ((-0.05, -0.94), (-0.26, -0.94)), ((0.04, 0.89), (0.04, 0.94)), ((-0.740001, 0.8), (-0.740001, 0.69)), ((-0.200001, 0.26), (0.04, 0.26)), ((-0.89, -0.29), (-0.84, -0.29)), ((0.389999, 0.45), (0.389999, 0.4)), ((-0.75, -0.05), (-0.75, 0.0)), ((-0.05, 0.64), (-0.1, 0.64)), ((-0.110001, -0.1), (-0.110001, 0.01)), ((-0.450001, -0.39), (-0.55, -0.39)), ((0.48, 0.0), (0.429999, 0.0)), ((-0.54, 0.7), (-0.54, 0.6)), ((-0.990001, -0.98), (-0.950001, -0.98)), ((-0.01, -0.79), (-0.01, -0.69)), ((0.349999, 0.94), (0.25, 0.94)), ((-0.8, -0.69), (-0.8, -0.59)), ((0.889999, 0.39), (0.889999, 0.36)), ((-0.900001, 0.64), (-0.900001, 0.74)), ((0.679999, 0.8), (0.69, 0.8)), ((-0.200001, -0.19), (-0.200001, -0.29)), ((0.679999, -0.73), (0.69, -0.73)), ((0.299999, 0.06), (0.299999, 0.01)), ((-0.400001, 0.95), (-0.360001, 0.95)), ((-0.01, -0.04), (0.04, -0.04)), ((0.58, -0.09), (0.58, -0.05)), ((0.589999, 0.01), (0.589999, -0.04)), ((0.639999, 0.55), (0.679999, 0.55)), ((0.99, -0.84), (0.929999, -0.84)), ((0.589999, -0.73), (0.63, -0.73)), ((-0.25, 0.44), (-0.25, 0.39)), ((0.44, -0.24), (0.49, -0.24)), ((0.19, -0.79), (0.139999, -0.79)), ((-0.700001, 0.31), (-0.700001, 0.35)), ((-0.8, 0.3), (-0.8, 0.35)), ((0.839999, -0.58), (0.929999, -0.58)), ((-0.900001, -0.53), (-0.900001, -0.44)), ((0.38, -0.1), (0.299999, -0.1)), ((-0.84, 0.8), (-0.740001, 0.8)), ((0.139999, 0.26), (0.24, 0.26)), ((0.04, 0.26), (0.04, 0.35)), ((0.389999, 0.4), (0.48, 0.4)), ((-0.740001, -0.05), (-0.75, -0.05)), ((-0.110001, 0.59), (-0.110001, 0.64)), ((0.0, 0.0), (-0.05, 0.0)), ((-0.450001, -0.43), (-0.450001, -0.39)), ((0.349999, -0.04), (0.349999, -0.09)), ((-0.5, 0.54), (-0.59, 0.54)), ((-0.59, -0.68), (-0.59, -0.73)), ((-0.5, -0.98), (-0.5, -0.93)), ((-0.01, -0.69), (-0.110001, -0.69)), ((0.49, 0.75), (0.49, 0.74)), ((-0.75, 0.79), (-0.85, 0.79)), ((-0.84, -0.58), (-0.700001, -0.58)), ((0.94, 0.39), (0.889999, 0.39)), ((0.88, 0.45), (0.88, 0.49)), ((-0.39, -0.84), (-0.39, -0.98)), ((-0.26, -0.14), (-0.200001, -0.14)), ((0.54, -0.68), (0.54, -0.69)), ((0.299999, 0.01), (0.38, 0.01)), ((-0.440001, 0.99), (-0.440001, 0.9)))
name1 = "Atilla" for ch in name1: print(ch)
name1 = 'Atilla' for ch in name1: print(ch)
def add_feather_vertex(location=(0.0, 0.0)): pass def add_feather_vertex_slide(MASK_OT_add_feather_vertex=None, MASK_OT_slide_point=None): pass def add_vertex(location=(0.0, 0.0)): pass def add_vertex_slide(MASK_OT_add_vertex=None, MASK_OT_slide_point=None): pass def copy_splines(): pass def cyclic_toggle(): pass def delete(): pass def duplicate(): pass def duplicate_move(MASK_OT_duplicate=None, TRANSFORM_OT_translate=None): pass def feather_weight_clear(): pass def handle_type_set(type='AUTO'): pass def hide_view_clear(): pass def hide_view_set(unselected=False): pass def layer_move(direction='UP'): pass def layer_new(name=""): pass def layer_remove(): pass def new(name=""): pass def normals_make_consistent(): pass def parent_clear(): pass def parent_set(): pass def paste_splines(): pass def primitive_circle_add(size=100.0, location=(0.0, 0.0)): pass def primitive_square_add(size=100.0, location=(0.0, 0.0)): pass def select(extend=False, deselect=False, toggle=False, location=(0.0, 0.0)): pass def select_all(action='TOGGLE'): pass def select_border(gesture_mode=0, xmin=0, xmax=0, ymin=0, ymax=0, extend=True): pass def select_circle(x=0, y=0, radius=1, gesture_mode=0): pass def select_lasso(path=None, deselect=False, extend=True): pass def select_less(): pass def select_linked(): pass def select_linked_pick(deselect=False): pass def select_more(): pass def shape_key_clear(): pass def shape_key_feather_reset(): pass def shape_key_insert(): pass def shape_key_rekey(location=True, feather=True): pass def slide_point(slide_feather=False, is_new_point=False): pass def slide_spline_curvature(): pass def switch_direction(): pass
def add_feather_vertex(location=(0.0, 0.0)): pass def add_feather_vertex_slide(MASK_OT_add_feather_vertex=None, MASK_OT_slide_point=None): pass def add_vertex(location=(0.0, 0.0)): pass def add_vertex_slide(MASK_OT_add_vertex=None, MASK_OT_slide_point=None): pass def copy_splines(): pass def cyclic_toggle(): pass def delete(): pass def duplicate(): pass def duplicate_move(MASK_OT_duplicate=None, TRANSFORM_OT_translate=None): pass def feather_weight_clear(): pass def handle_type_set(type='AUTO'): pass def hide_view_clear(): pass def hide_view_set(unselected=False): pass def layer_move(direction='UP'): pass def layer_new(name=''): pass def layer_remove(): pass def new(name=''): pass def normals_make_consistent(): pass def parent_clear(): pass def parent_set(): pass def paste_splines(): pass def primitive_circle_add(size=100.0, location=(0.0, 0.0)): pass def primitive_square_add(size=100.0, location=(0.0, 0.0)): pass def select(extend=False, deselect=False, toggle=False, location=(0.0, 0.0)): pass def select_all(action='TOGGLE'): pass def select_border(gesture_mode=0, xmin=0, xmax=0, ymin=0, ymax=0, extend=True): pass def select_circle(x=0, y=0, radius=1, gesture_mode=0): pass def select_lasso(path=None, deselect=False, extend=True): pass def select_less(): pass def select_linked(): pass def select_linked_pick(deselect=False): pass def select_more(): pass def shape_key_clear(): pass def shape_key_feather_reset(): pass def shape_key_insert(): pass def shape_key_rekey(location=True, feather=True): pass def slide_point(slide_feather=False, is_new_point=False): pass def slide_spline_curvature(): pass def switch_direction(): pass
class Solution: def twoSum(self, numbers: List[int], target: int) -> List[int]: r = len(numbers) for ind in range(r): goal = target - numbers[ind] l = ind while l < r: m = l + (r - l) // 2 if numbers[m] == goal: return [ind+1, m+1] if numbers[m] < goal: l = m + 1 else: r = m
class Solution: def two_sum(self, numbers: List[int], target: int) -> List[int]: r = len(numbers) for ind in range(r): goal = target - numbers[ind] l = ind while l < r: m = l + (r - l) // 2 if numbers[m] == goal: return [ind + 1, m + 1] if numbers[m] < goal: l = m + 1 else: r = m
# Title : TODO # Objective : TODO # Created by: Wenzurk # Created on: 2018/2/6 alien_color = 'green' # if alien_color == 'green': # print("You get 5 point.") # if alien_color == 'yellow': # print("You are a loser.") # if alien_color == 'green': # print("You got 5 point.") # else: # print("You got 10 point.") # # if alien_color == 'yellow': # print("You got 5 point.") # else: # print("You got 10 point.") if alien_color == 'green': print("You got 5 point.") elif alien_color == 'yellow': print("You got 10 point.") elif alien_color == 'red': print("You got 15 point.")
alien_color = 'green' if alien_color == 'green': print('You got 5 point.') elif alien_color == 'yellow': print('You got 10 point.') elif alien_color == 'red': print('You got 15 point.')
expected_output = { 'dir': { 'total_free_bytes': '939092 kbytes', 'files': {'pnet_cfg.log': {'permission': '-rw-r--r--', 'date': 'May 10 2017', 'index': '14', 'size': '10429'}, 'status_file': {'permission': '-rw-r--r--', 'date': 'May 10 13:15', 'index': '18', 'size': '2458'}, 'nvgen_traces': {'permission': 'drwxr-xr-x', 'date': 'May 10 14:02', 'index': '16353', 'size': '4096'}, 'clihistory': {'permission': 'drwx------', 'date': 'May 10 2017', 'index': '8177', 'size': '4096'}, 'core': {'permission': 'drwxr-xr-x', 'date': 'May 10 2017', 'index': '12', 'size': '4096'}, 'cvac.log': {'permission': '-rw-r--r--', 'date': 'May 10 2017', 'index': '20', 'size': '773'}, 'kim': {'permission': 'drwxr-xr-x', 'date': 'May 10 2017', 'index': '8178', 'size': '4096'}, 'config -> /misc/config': {'permission': 'lrwxrwxrwx', 'date': 'May 10 2017', 'index': '15', 'size': '12'}, 'ztp': {'permission': 'drwxr-xr-x', 'date': 'May 10 13:41', 'index': '8179', 'size': '4096'}, 'lost+found': {'permission': 'drwx------', 'date': 'May 10 2017', 'index': '11', 'size': '16384'}, 'envoke_log': {'permission': '-rw-r--r--', 'date': 'May 10 2017', 'index': '13', 'size': '1438'}}, 'total_bytes': '1012660 kbytes', 'dir_name': '/misc/scratch'}}
expected_output = {'dir': {'total_free_bytes': '939092 kbytes', 'files': {'pnet_cfg.log': {'permission': '-rw-r--r--', 'date': 'May 10 2017', 'index': '14', 'size': '10429'}, 'status_file': {'permission': '-rw-r--r--', 'date': 'May 10 13:15', 'index': '18', 'size': '2458'}, 'nvgen_traces': {'permission': 'drwxr-xr-x', 'date': 'May 10 14:02', 'index': '16353', 'size': '4096'}, 'clihistory': {'permission': 'drwx------', 'date': 'May 10 2017', 'index': '8177', 'size': '4096'}, 'core': {'permission': 'drwxr-xr-x', 'date': 'May 10 2017', 'index': '12', 'size': '4096'}, 'cvac.log': {'permission': '-rw-r--r--', 'date': 'May 10 2017', 'index': '20', 'size': '773'}, 'kim': {'permission': 'drwxr-xr-x', 'date': 'May 10 2017', 'index': '8178', 'size': '4096'}, 'config -> /misc/config': {'permission': 'lrwxrwxrwx', 'date': 'May 10 2017', 'index': '15', 'size': '12'}, 'ztp': {'permission': 'drwxr-xr-x', 'date': 'May 10 13:41', 'index': '8179', 'size': '4096'}, 'lost+found': {'permission': 'drwx------', 'date': 'May 10 2017', 'index': '11', 'size': '16384'}, 'envoke_log': {'permission': '-rw-r--r--', 'date': 'May 10 2017', 'index': '13', 'size': '1438'}}, 'total_bytes': '1012660 kbytes', 'dir_name': '/misc/scratch'}}
''' Author: your name Date: 2021-08-16 11:00:16 LastEditTime: 2021-08-16 11:00:17 LastEditors: Please set LastEditors Description: In User Settings Edit FilePath: /lanenet-lane-detection-pytorch/local_utils/__init__.py '''
""" Author: your name Date: 2021-08-16 11:00:16 LastEditTime: 2021-08-16 11:00:17 LastEditors: Please set LastEditors Description: In User Settings Edit FilePath: /lanenet-lane-detection-pytorch/local_utils/__init__.py """
arr = [1,2,3,4,6,7,8,9,12,4,2,5,7,2,5,2,1,4,6,3] # arr = [21,31,43,57,97,89,63,61,51,75,2,4,6,8,0,12,22,24,12,68,62] print(arr) lst = list(sorted(arr, key=lambda x: [x % 2, x])) print(lst) # f_idx = 0 # b_idx = len(arr) - 1 # while f_idx < b_idx: # if arr[f_idx] % 2 != 0: # if arr[b_idx] % 2 != 0: # b_idx -= 1 # else: # tmp = arr[f_idx] # arr[f_idx] = arr[b_idx] # arr[b_idx] = tmp # else: # f_idx += 1 # print(arr) # lst = list(sorted(arr, key=lambda x: [x % 2, x])) # print(lst)
arr = [1, 2, 3, 4, 6, 7, 8, 9, 12, 4, 2, 5, 7, 2, 5, 2, 1, 4, 6, 3] print(arr) lst = list(sorted(arr, key=lambda x: [x % 2, x])) print(lst)
def test_str(RS, str_data): assert RS(str_data, 0.8) != str_data assert type(RS(str_data, 0.8)) is str assert len(RS(str_data, 0.8, repetition=3)) == 3 def test_list(RS, list_data): assert RS(list_data, 0.8) != list_data assert type(RS(list_data, 0.8)) is list assert len(RS(list_data, 0.8, repetition=3)) == len(list_data) * 3
def test_str(RS, str_data): assert rs(str_data, 0.8) != str_data assert type(rs(str_data, 0.8)) is str assert len(rs(str_data, 0.8, repetition=3)) == 3 def test_list(RS, list_data): assert rs(list_data, 0.8) != list_data assert type(rs(list_data, 0.8)) is list assert len(rs(list_data, 0.8, repetition=3)) == len(list_data) * 3
class Solution: def minArea(self, image: List[List[str]], x: int, y: int) -> int: m = len(image) n = len(image[0]) dirs = [0, 1, 0, -1, 0] topLeft = [x, y] bottomRight = [x, y] q = deque([(x, y)]) image[x][y] = '2' # visited while q: i, j = q.popleft() for k in range(4): r = i + dirs[k] c = j + dirs[k + 1] if r < 0 or r == m or c < 0 or c == n: continue if image[r][c] != '1': continue topLeft[0] = min(topLeft[0], r) topLeft[1] = min(topLeft[1], c) bottomRight[0] = max(bottomRight[0], r) bottomRight[1] = max(bottomRight[1], c) q.append((r, c)) image[r][c] = '2' width = bottomRight[1] - topLeft[1] + 1 height = bottomRight[0] - topLeft[0] + 1 return width * height
class Solution: def min_area(self, image: List[List[str]], x: int, y: int) -> int: m = len(image) n = len(image[0]) dirs = [0, 1, 0, -1, 0] top_left = [x, y] bottom_right = [x, y] q = deque([(x, y)]) image[x][y] = '2' while q: (i, j) = q.popleft() for k in range(4): r = i + dirs[k] c = j + dirs[k + 1] if r < 0 or r == m or c < 0 or (c == n): continue if image[r][c] != '1': continue topLeft[0] = min(topLeft[0], r) topLeft[1] = min(topLeft[1], c) bottomRight[0] = max(bottomRight[0], r) bottomRight[1] = max(bottomRight[1], c) q.append((r, c)) image[r][c] = '2' width = bottomRight[1] - topLeft[1] + 1 height = bottomRight[0] - topLeft[0] + 1 return width * height
#@+leo-ver=5-thin #@+node:ekr.20170428084207.353: * @file ../external/npyscreen/npysNPSFilteredData.py #@+others #@+node:ekr.20170428084207.354: ** class NPSFilteredDataBase class NPSFilteredDataBase: #@+others #@+node:ekr.20170428084207.355: *3* __init__ def __init__(self, values=None): self._values = None self._filter = None self._filtered_values = None self.set_values(values) #@+node:ekr.20170428084207.356: *3* set_values def set_values(self, value): self._values = value #@+node:ekr.20170428084207.357: *3* get_all_values def get_all_values(self): return self._values #@+node:ekr.20170428084207.358: *3* set_filter def set_filter(self, this_filter): self._filter = this_filter self._apply_filter() #@+node:ekr.20170428084207.359: *3* filter_data def filter_data(self): # should set self._filtered_values to the filtered values raise Exception("You need to define the way the filter operates") #@+node:ekr.20170428084207.360: *3* get def get(self): self._apply_filter() return self._filtered_values #@+node:ekr.20170428084207.361: *3* _apply_filter def _apply_filter(self): # Could do some caching here - but the default definition does not. self._filtered_values = self.filter_data() #@-others #@+node:ekr.20170428084207.362: ** class NPSFilteredDataList class NPSFilteredDataList(NPSFilteredDataBase): #@+others #@+node:ekr.20170428084207.363: *3* filter_data def filter_data(self): if self._filter and self.get_all_values(): return [x for x in self.get_all_values() if self._filter in x] else: return self.get_all_values() #@-others #@-others #@@language python #@@tabwidth -4 #@-leo
class Npsfiltereddatabase: def __init__(self, values=None): self._values = None self._filter = None self._filtered_values = None self.set_values(values) def set_values(self, value): self._values = value def get_all_values(self): return self._values def set_filter(self, this_filter): self._filter = this_filter self._apply_filter() def filter_data(self): raise exception('You need to define the way the filter operates') def get(self): self._apply_filter() return self._filtered_values def _apply_filter(self): self._filtered_values = self.filter_data() class Npsfiltereddatalist(NPSFilteredDataBase): def filter_data(self): if self._filter and self.get_all_values(): return [x for x in self.get_all_values() if self._filter in x] else: return self.get_all_values()
my_dictionary = {'name': 'naeim', 'age': 33} print(my_dictionary['name']) print(my_dictionary['age']) print(type(my_dictionary)) print(my_dictionary) my_dictionary['family'] = 'nobahari' print(my_dictionary) for item in my_dictionary: print(f"your {item} is {my_dictionary[item]}") del my_dictionary['family'] print(my_dictionary) for item in my_dictionary: print(f"your {item} is {my_dictionary[item]}") my_final_dictionary = { 'age' : 33, 'name' : 'his name', 'family name' : 'his family name' } print(my_final_dictionary) for item in my_final_dictionary: print(f"your {item} is {my_final_dictionary[item]}") my_funny_resault = my_dictionary.get('age', 'no age') print(my_funny_resault) my_funny_resault = my_final_dictionary.get('sex', 'not set') print(my_funny_resault) print(my_dictionary.items()) for i, j in my_dictionary.items(): print(f"i is {i} an j is {j}") new_dictionary = { 'abc' : '123', 'def' : '456', 'ghi' : '789', } print('-------------------------------------------') for key in new_dictionary: print(key) print('-------------------------------------------') for key in new_dictionary.keys(): print(key) print('-------------------------------------------') for value in new_dictionary.values(): print(value) print('-------------------------------------------') for key,value in new_dictionary.items(): print(f"{value} = {key}") print('-------------------------------------------') test_dictionary1 = { 'abc' : '123', 'def' : '456', 'ghi' : '789', } test_dictionary2 = { 'abcd' : '1234', 'defg' : '4567', 'ghij' : '7890', } test_list = list() test_list.append(test_dictionary1) test_list.append(test_dictionary2) print(test_list)
my_dictionary = {'name': 'naeim', 'age': 33} print(my_dictionary['name']) print(my_dictionary['age']) print(type(my_dictionary)) print(my_dictionary) my_dictionary['family'] = 'nobahari' print(my_dictionary) for item in my_dictionary: print(f'your {item} is {my_dictionary[item]}') del my_dictionary['family'] print(my_dictionary) for item in my_dictionary: print(f'your {item} is {my_dictionary[item]}') my_final_dictionary = {'age': 33, 'name': 'his name', 'family name': 'his family name'} print(my_final_dictionary) for item in my_final_dictionary: print(f'your {item} is {my_final_dictionary[item]}') my_funny_resault = my_dictionary.get('age', 'no age') print(my_funny_resault) my_funny_resault = my_final_dictionary.get('sex', 'not set') print(my_funny_resault) print(my_dictionary.items()) for (i, j) in my_dictionary.items(): print(f'i is {i} an j is {j}') new_dictionary = {'abc': '123', 'def': '456', 'ghi': '789'} print('-------------------------------------------') for key in new_dictionary: print(key) print('-------------------------------------------') for key in new_dictionary.keys(): print(key) print('-------------------------------------------') for value in new_dictionary.values(): print(value) print('-------------------------------------------') for (key, value) in new_dictionary.items(): print(f'{value} = {key}') print('-------------------------------------------') test_dictionary1 = {'abc': '123', 'def': '456', 'ghi': '789'} test_dictionary2 = {'abcd': '1234', 'defg': '4567', 'ghij': '7890'} test_list = list() test_list.append(test_dictionary1) test_list.append(test_dictionary2) print(test_list)
############################################################ # from django.urls import path, include ############################################################ app_name = "adventure" urlpatterns = []
app_name = 'adventure' urlpatterns = []
# Definition for a binary tree node. # class TreeNode: # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution: def helper(self, node, cur_sum): if not node.left and not node.right: self.ans += cur_sum*2 + node.val if node.left: self.helper(node.left, cur_sum*2 + node.val) if node.right: self.helper(node.right, cur_sum*2 + node.val) def sumRootToLeaf(self, root: TreeNode) -> int: if not root: return 0 self.ans = 0 self.helper(root, 0) return self.ans
class Solution: def helper(self, node, cur_sum): if not node.left and (not node.right): self.ans += cur_sum * 2 + node.val if node.left: self.helper(node.left, cur_sum * 2 + node.val) if node.right: self.helper(node.right, cur_sum * 2 + node.val) def sum_root_to_leaf(self, root: TreeNode) -> int: if not root: return 0 self.ans = 0 self.helper(root, 0) return self.ans
#declaration of x x = "There are %d types of people." % 10 #declaration of a variable binary = "binary" #here it is also a variable do_not = "don't" #declaretion of y y = "Those who know %s and those who %s." % (binary,do_not) # it prints x print (x + y) # it prints y print ("hello '%s' hi" % y)
x = 'There are %d types of people.' % 10 binary = 'binary' do_not = "don't" y = 'Those who know %s and those who %s.' % (binary, do_not) print(x + y) print("hello '%s' hi" % y)
class Bracket: def __init__(self, round16): self.round16 = round16 self.quarters = [None] * 8 self.semis = [None] * 4 self.finals = [None] * 2 self.thirdPlaceMatch = [None] * 2 # results self.champion = [None] * 1 self.runnerUp = [None] * 1 self.third = [None] * 1
class Bracket: def __init__(self, round16): self.round16 = round16 self.quarters = [None] * 8 self.semis = [None] * 4 self.finals = [None] * 2 self.thirdPlaceMatch = [None] * 2 self.champion = [None] * 1 self.runnerUp = [None] * 1 self.third = [None] * 1
#Python 3.X solution for Easy Challenge #0008 #GitHub: https://github.com/Ashkore #https://www.reddit.com/user/Ashkoree/ string = " bottles of beer on the wall, take one down, pass it around." bottles = 99 for x in range(bottles+1): print (str(bottles-x)+string) #Extra Credit ?? newstring = "" for x in range(bottles+1): newstring += str(bottles-x)+string print (newstring)
string = ' bottles of beer on the wall, take one down, pass it around.' bottles = 99 for x in range(bottles + 1): print(str(bottles - x) + string) newstring = '' for x in range(bottles + 1): newstring += str(bottles - x) + string print(newstring)
# DO NOT SHARE YOUR CREDENTIALS # Login into your Spotify developer account at https://developer.spotify.com. # Create an app and visit the Dashboard, go to the app's overview to retrieve the 'Client ID' and 'Client Secret' values. # Put these values into the variables below. client_id = '' client_secret = '' username = '' # Your official Spotify account username. # Then go to the Spotify developer app's Settings and set the field called 'Redirect URIs' with this value: redirect_uri = 'http://localhost:8080/'
client_id = '' client_secret = '' username = '' redirect_uri = 'http://localhost:8080/'
# Python Variables # Variables # Variables are containers for storing data values. # Creating Variables # Python has no command for declaring a variable. # A variable is created the moment you first assign a value to it. # Example x = 5 y = "John" print(x) print(y) # Variables do not need to be declared with any particular type, and can even change type after they have been set. # Example x = 4 # x is of type int x = "Vera Kasela" # x is now of type str print(x) # Casting # If you want to specify the data type of a variable, this can be done with casting. # Example x = str(3) # x will be '3' y = int(3) # y will be 3 z = float(3) # z will be 3.0 # Get the Type # You can get the data type of a variable with the type() function. # Example x = 5 y = "John" print(type(x)) print(type(y)) # You will learn more about data types and casting later in this tutorial. # Single or Double Quotes? # String variables can be declared either by using single or double quotes: # Example x = "John" # is the same as x = 'John' # Case-Sensitive # Variable names are case-sensitive. # Example # This will create two variables: a = 4 A = "Sally" #A will not overwrite a #### Python - Variable Names #### # Variable Names # A variable can have a short name (like x and y) or a more descriptive name (age, carname, total_volume). Rules for Python variables: # A variable name must start with a letter or the underscore character # A variable name cannot start with a number # A variable name can only contain alpha-numeric characters and underscores (A-z, 0-9, and _ ) # Variable names are case-sensitive (age, Age and AGE are three different variables) # Example # Legal variable names: myvar = "John" my_var = "John" _my_var = "John" myVar = "John" MYVAR = "John" myvar2 = "John" # Example # Illegal variable names: # 2myvar = "John" # my-var = "John" # my var = "John" # Remember that variable names are case-sensitive # Multi Words Variable Names # Variable names with more than one word can be difficult to read. # There are several techniques you can use to make them more readable: # Camel Case # Each word, except the first, starts with a capital letter: myVariableName = "John" # Pascal Case # Each word starts with a capital letter: MyVariableName = "John" # Snake Case # Each word is separated by an underscore character: my_variable_name = "John" ### Python Variables - Assign Multiple Values ### # Many Values to Multiple Variables # Python allows you to assign values to multiple variables in one line: # Example x, y, z = "Orange", "Banana", "Cherry" print(x) print(y) print(z) # Note: Make sure the number of variables matches the number of values, or else you will get an error. # One Value to Multiple Variables # And you can assign the same value to multiple variables in one line: # Example x = y = z = "Orange" print(x) print(y) print(z) # Unpack a Collection # If you have a collection of values in a list, tuple etc. Python allows you extract the values into variables. This is called unpacking. # Example # Unpack a list: fruits = ["apple", "banana", "cherry"] x, y, z = fruits print(x) print(y) print(z) # Python - Output Variables # Output Variables # The Python print statement is often used to output variables. # To combine both text and a variable, Python uses the + character: # Example x = "awesome" print("Python is " + x) # You can also use the + character to add a variable to another variable: # Example x = "Python is " y = "awesome" z = x + y print(z) # For numbers, the + character works as a mathematical operator: # Example x = 5 y = 10 print(x + y) # If you try to combine a string and a number, Python will give you an error: # Example x = 5 y = "John" print(x + y) # Python - Global Variables # Global Variables # Variables that are created outside of a function (as in all of the examples above) are known as global variables. # Global variables can be used by everyone, both inside of functions and outside. # Example # Create a variable outside of a function, and use it inside the function x = "awesome" def myfunc(): print("Python is " + x) myfunc() # If you create a variable with the same name inside a function, this variable will be local, and can only be used inside the function. The global variable with the same name will remain as it was, global and with the original value. # Example # Create a variable inside a function, with the same name as the global variable # x = "awesome" def myfunc(): x = "fantastic" print("Python is " + x) myfunc() print("Python is " + x) # The global Keyword # Normally, when you create a variable inside a function, that variable is local, and can only be used inside that function. # To create a global variable inside a function, you can use the global keyword. # Example # If you use the global keyword, the variable belongs to the global scope: def myfunc(): global x x = "fantastic" myfunc() print("Python is " + x) # Also, use the global keyword if you want to change a global variable inside a function. # Example # To change the value of a global variable inside a function, refer to the variable by using the global keyword: x = "awesome" def myfunc(): global x x = "fantastic" myfunc() print("Python is " + x)
x = 5 y = 'John' print(x) print(y) x = 4 x = 'Vera Kasela' print(x) x = str(3) y = int(3) z = float(3) x = 5 y = 'John' print(type(x)) print(type(y)) x = 'John' x = 'John' a = 4 a = 'Sally' myvar = 'John' my_var = 'John' _my_var = 'John' my_var = 'John' myvar = 'John' myvar2 = 'John' my_variable_name = 'John' my_variable_name = 'John' my_variable_name = 'John' (x, y, z) = ('Orange', 'Banana', 'Cherry') print(x) print(y) print(z) x = y = z = 'Orange' print(x) print(y) print(z) fruits = ['apple', 'banana', 'cherry'] (x, y, z) = fruits print(x) print(y) print(z) x = 'awesome' print('Python is ' + x) x = 'Python is ' y = 'awesome' z = x + y print(z) x = 5 y = 10 print(x + y) x = 5 y = 'John' print(x + y) x = 'awesome' def myfunc(): print('Python is ' + x) myfunc() def myfunc(): x = 'fantastic' print('Python is ' + x) myfunc() print('Python is ' + x) def myfunc(): global x x = 'fantastic' myfunc() print('Python is ' + x) x = 'awesome' def myfunc(): global x x = 'fantastic' myfunc() print('Python is ' + x)
class Solver: @staticmethod def create(board): return Solver(board) def __init__(self, board): self._board = board def solve(self): return self._tryToPlaceValidQueen(self._board) def _tryToPlaceValidQueen(self, solution): columns = self._getNonThreatenedList(solution.getThreatenedColumns()) rows = self._getNonThreatenedList(solution.getThreatenedRows()) for x in columns: for y in rows: if solution.isSafeQueenPosition(x, y): solution.placeQueen(x, y) if solution.getQueenCount() == solution.getSize(): return solution newSolution = self._tryToPlaceValidQueen(solution) if newSolution is not None: return newSolution solution.removeQueen(x, y) return None def _getNonThreatenedList(self, threatenedList): solutionRange = range(0, self._board.getSize()) return [i for i in solutionRange if i not in threatenedList]
class Solver: @staticmethod def create(board): return solver(board) def __init__(self, board): self._board = board def solve(self): return self._tryToPlaceValidQueen(self._board) def _try_to_place_valid_queen(self, solution): columns = self._getNonThreatenedList(solution.getThreatenedColumns()) rows = self._getNonThreatenedList(solution.getThreatenedRows()) for x in columns: for y in rows: if solution.isSafeQueenPosition(x, y): solution.placeQueen(x, y) if solution.getQueenCount() == solution.getSize(): return solution new_solution = self._tryToPlaceValidQueen(solution) if newSolution is not None: return newSolution solution.removeQueen(x, y) return None def _get_non_threatened_list(self, threatenedList): solution_range = range(0, self._board.getSize()) return [i for i in solutionRange if i not in threatenedList]
def export_tomo_scan_legacy(h, fpath=None): if fpath is None: fpath = './' else: if not fpath[-1] == '/': fpath += '/' scan_type = "tomo_scan" scan_id = h.start["scan_id"] try: x_eng = h.start["XEng"] except: x_eng = h.start["x_ray_energy"] bkg_img_num = h.start["num_bkg_images"] dark_img_num = h.start["num_dark_images"] chunk_size = h.start["plan_args"]["chunk_size"] angle_i = h.start["plan_args"]["start"] angle_e = h.start["plan_args"]["stop"] angle_n = h.start["plan_args"]["num"] exposure_t = h.start["plan_args"]["exposure_time"] img = np.array(list(h.data("Andor_image"))) # img = np.squeeze(img) img_dark = img[0:dark_img_num].reshape(-1, img.shape[-2], img.shape[-1]) img_tomo = img[dark_img_num:-bkg_img_num] img_bkg = img[-bkg_img_num:].reshape(-1, img.shape[-2], img.shape[-1]) s = img_dark.shape # img_dark_avg = np.mean(img_dark,axis=0).reshape(1, s[1], s[2]) # img_bkg_avg = np.mean(img_bkg, axis=0).reshape(1, s[1], s[2]) img_angle = np.linspace(angle_i, angle_e, angle_n) fname = fpath + scan_type + "_id_" + str(scan_id) + ".h5" with h5py.File(fname, "w") as hf: hf.create_dataset("scan_id", data=scan_id) hf.create_dataset("X_eng", data=x_eng) hf.create_dataset("img_bkg", data=img_bkg) hf.create_dataset("img_dark", data=img_dark) hf.create_dataset("img_tomo", data=img_tomo) hf.create_dataset("angle", data=img_angle) try: write_lakeshore_to_file(h, fname) except: print("fails to write lakeshore info into {fname}") del img del img_tomo del img_dark del img_bkg def export_fly_scan_legacy(h, fpath=None): if fpath is None: fpath = './' else: if not fpath[-1] == '/': fpath += '/' uid = h.start["uid"] note = h.start["note"] scan_type = "fly_scan" scan_id = h.start["scan_id"] scan_time = h.start["time"] x_pos = h.table("baseline")["zps_sx"][1] y_pos = h.table("baseline")["zps_sy"][1] z_pos = h.table("baseline")["zps_sz"][1] r_pos = h.table("baseline")["zps_pi_r"][1] zp_z_pos = h.table("baseline")["zp_z"][1] DetU_z_pos = h.table("baseline")["DetU_z"][1] M = (DetU_z_pos/zp_z_pos - 1)*10. pxl_sz = 6500./M try: x_eng = h.start["XEng"] except: x_eng = h.start["x_ray_energy"] chunk_size = h.start["chunk_size"] # sanity check: make sure we remembered the right stream name assert "zps_pi_r_monitor" in h.stream_names pos = h.table("zps_pi_r_monitor") imgs = np.array(list(h.data("Andor_image"))) img_dark = imgs[0] img_bkg = imgs[-1] s = img_dark.shape img_dark_avg = np.mean(img_dark, axis=0).reshape(1, s[1], s[2]) img_bkg_avg = np.mean(img_bkg, axis=0).reshape(1, s[1], s[2]) imgs = imgs[1:-1] s1 = imgs.shape imgs = imgs.reshape([s1[0] * s1[1], s1[2], s1[3]]) with db.reg.handler_context({"AD_HDF5": AreaDetectorHDF5TimestampHandler}): chunked_timestamps = list(h.data("Andor_image")) chunked_timestamps = chunked_timestamps[1:-1] raw_timestamps = [] for chunk in chunked_timestamps: raw_timestamps.extend(chunk.tolist()) timestamps = convert_AD_timestamps(pd.Series(raw_timestamps)) pos["time"] = pos["time"].dt.tz_localize("US/Eastern") img_day, img_hour = ( timestamps.dt.day, timestamps.dt.hour, ) img_min, img_sec, img_msec = ( timestamps.dt.minute, timestamps.dt.second, timestamps.dt.microsecond, ) img_time = ( img_day * 86400 + img_hour * 3600 + img_min * 60 + img_sec + img_msec * 1e-6 ) img_time = np.array(img_time) mot_day, mot_hour = ( pos["time"].dt.day, pos["time"].dt.hour, ) mot_min, mot_sec, mot_msec = ( pos["time"].dt.minute, pos["time"].dt.second, pos["time"].dt.microsecond, ) mot_time = ( mot_day * 86400 + mot_hour * 3600 + mot_min * 60 + mot_sec + mot_msec * 1e-6 ) mot_time = np.array(mot_time) mot_pos = np.array(pos["zps_pi_r"]) offset = np.min([np.min(img_time), np.min(mot_time)]) img_time -= offset mot_time -= offset mot_pos_interp = np.interp(img_time, mot_time, mot_pos) pos2 = mot_pos_interp.argmax() + 1 #img_angle = mot_pos_interp[: pos2 - chunk_size] # rotation angles img_angle = mot_pos_interp[: pos2] #img_tomo = imgs[: pos2 - chunk_size] # tomo images img_tomo = imgs[: pos2] fname = fpath + scan_type + "_id_" + str(scan_id) + ".h5" with h5py.File(fname, "w") as hf: hf.create_dataset("note", data=str(note)) hf.create_dataset("uid", data=uid) hf.create_dataset("scan_id", data=int(scan_id)) hf.create_dataset("scan_time", data=scan_time) hf.create_dataset("X_eng", data=x_eng) hf.create_dataset("img_bkg", data=np.array(img_bkg, dtype=np.uint16)) hf.create_dataset("img_dark", data=np.array(img_dark, dtype=np.uint16)) hf.create_dataset("img_bkg_avg", data=np.array(img_bkg_avg, dtype=np.float32)) hf.create_dataset("img_dark_avg", data=np.array(img_dark_avg, dtype=np.float32)) hf.create_dataset("img_tomo", data=np.array(img_tomo, dtype=np.uint16)) hf.create_dataset("angle", data=img_angle) hf.create_dataset("x_ini", data=x_pos) hf.create_dataset("y_ini", data=y_pos) hf.create_dataset("z_ini", data=z_pos) hf.create_dataset("r_ini", data=r_pos) hf.create_dataset("Magnification", data=M) hf.create_dataset("Pixel Size", data=str(str(pxl_sz)+'nm')) try: write_lakeshore_to_file(h, fname) except: print("fails to write lakeshore info into {fname}") del img_tomo del img_dark del img_bkg del imgs def export_xanes_scan_legacy(h, fpath=None): if fpath is None: fpath = './' else: if not fpath[-1] == '/': fpath += '/' zp_z_pos = h.table("baseline")["zp_z"][1] DetU_z_pos = h.table("baseline")["DetU_z"][1] M = (DetU_z_pos/zp_z_pos - 1)*10. pxl_sz = 6500./M scan_type = h.start["plan_name"] # scan_type = 'xanes_scan' uid = h.start["uid"] note = h.start["note"] scan_id = h.start["scan_id"] scan_time = h.start["time"] try: x_eng = h.start["XEng"] except: x_eng = h.start["x_ray_energy"] chunk_size = h.start["chunk_size"] num_eng = h.start["num_eng"] imgs = np.array(list(h.data("Andor_image"))) img_dark = imgs[0] img_dark_avg = np.mean(img_dark, axis=0).reshape( [1, img_dark.shape[1], img_dark.shape[2]] ) eng_list = list(h.start["eng_list"]) s = imgs.shape img_xanes_avg = np.zeros([num_eng, s[2], s[3]]) img_bkg_avg = np.zeros([num_eng, s[2], s[3]]) if scan_type == "xanes_scan": for i in range(num_eng): img_xanes = imgs[i + 1] img_xanes_avg[i] = np.mean(img_xanes, axis=0) img_bkg = imgs[i + 1 + num_eng] img_bkg_avg[i] = np.mean(img_bkg, axis=0) elif scan_type == "xanes_scan2": j = 1 for i in range(num_eng): img_xanes = imgs[j] img_xanes_avg[i] = np.mean(img_xanes, axis=0) img_bkg = imgs[j + 1] img_bkg_avg[i] = np.mean(img_bkg, axis=0) j = j + 2 else: print("un-recognized xanes scan......") return 0 img_xanes_norm = (img_xanes_avg - img_dark_avg) * 1.0 / (img_bkg_avg - img_dark_avg) img_xanes_norm[np.isnan(img_xanes_norm)] = 0 img_xanes_norm[np.isinf(img_xanes_norm)] = 0 img_bkg = np.array(img_bkg, dtype=np.float32) # img_xanes_norm = np.array(img_xanes_norm, dtype=np.float32) fname = fpath + scan_type + "_id_" + str(scan_id) + ".h5" with h5py.File(fname, "w") as hf: hf.create_dataset("uid", data=uid) hf.create_dataset("scan_id", data=scan_id) hf.create_dataset("note", data=str(note)) hf.create_dataset("scan_time", data=scan_time) hf.create_dataset("X_eng", data=eng_list) hf.create_dataset("img_bkg", data=np.array(img_bkg_avg, dtype=np.float32)) hf.create_dataset("img_dark", data=np.array(img_dark_avg, dtype=np.float32)) hf.create_dataset("img_xanes", data=np.array(img_xanes_norm, dtype=np.float32)) hf.create_dataset("Magnification", data=M) hf.create_dataset("Pixel Size", data=str(pxl_sz)+'nm') try: write_lakeshore_to_file(h, fname) except: print("fails to write lakeshore info into {fname}") del img_xanes, img_dark, img_bkg, img_xanes_avg, img_dark_avg del img_bkg_avg, imgs, img_xanes_norm def fly_scan_repeat_legacy( exposure_time=0.03, start_angle = None, relative_rot_angle=185, period=0.05, chunk_size=20, x_list=[], y_list=[], z_list=[], out_x=0, out_y=-100, out_z=0, out_r=0, rs=6, note="", repeat=1, sleep_time=0, simu=False, relative_move_flag=1, rot_first_flag=1, rot_back_velo=30, md=None, ): nx = len(x_list) ny = len(y_list) nz = len(z_list) if nx == 0 & ny == 0 & nz == 0: for i in range(repeat): yield from fly_scan_legacy( exposure_time=exposure_time, start_angle = start_angle, relative_rot_angle=relative_rot_angle, period=period, chunk_size=chunk_size, out_x=out_x, out_y=out_y, out_z=out_z, out_r=out_r, rs=rs, note=note, simu=simu, relative_move_flag=relative_move_flag, rot_first_flag=rot_first_flag, rot_back_velo=rot_back_velo, md=md, ) print( f"Scan at time point {i:3d} is finished; sleep for {sleep_time:3.1f} seconds now." ) insert_text( f"Scan at time point {i:3d} is finished; sleep for {sleep_time:3.1f} seconds now." ) if i != repeat - 1: yield from bps.sleep(sleep_time) export_pdf(1) else: if nx != ny or nx != nz or ny != nz: print( "!!!!! Position lists are not equal in length. Please check your position list definition !!!!!" ) else: for i in range(repeat): for j in range(nx): yield from mv( zps.sx, x_list[j], zps.sy, y_list[j], zps.sz, z_list[j] ) yield from fly_scan( exposure_time=exposure_time, start_angle=start_angle, relative_rot_angle=relative_rot_angle, period=period, chunk_size=chunk_size, out_x=out_x, out_y=out_y, out_z=out_z, out_r=out_r, rs=rs, note=note, simu=simu, relative_move_flag=relative_move_flag, rot_first_flag=rot_first_flag, rot_back_velo=rot_back_velo, md=md, ) insert_text( f"Scan at time point {i:3d} is finished; sleep for {sleep_time:3.1f} seconds now." ) print( f"Scan at time point {i:3d} is finished; sleep for {sleep_time:3.1f} seconds now." ) if i != repeat - 1: yield from bps.sleep(sleep_time) export_pdf(1) def export_multipos_2D_xanes_scan2(h, fpath=None): if fpath is None: fpath = './' else: if not fpath[-1] == '/': fpath += '/' scan_type = h.start["plan_name"] uid = h.start["uid"] note = h.start["note"] scan_id = h.start["scan_id"] scan_time = h.start["time"] # x_eng = h.start['x_ray_energy'] x_eng = h.start["XEng"] chunk_size = h.start["chunk_size"] chunk_size = h.start["num_bkg_images"] num_eng = h.start["num_eng"] num_pos = h.start["num_pos"] zp_z_pos = h.table("baseline")["zp_z"][1] DetU_z_pos = h.table("baseline")["DetU_z"][1] M = (DetU_z_pos/zp_z_pos - 1)*10. pxl_sz = 6500./M try: repeat_num = h.start["plan_args"]["repeat_num"] except: repeat_num = 1 imgs = list(h.data("Andor_image")) # imgs = np.mean(imgs, axis=1) img_dark = np.array(imgs[0]) img_dark = np.mean(img_dark, axis=0, keepdims=True) # revised here eng_list = list(h.start["eng_list"]) # s = imgs.shape s = img_dark.shape # revised here e.g,. shape=(1, 2160, 2560) # img_xanes = np.zeros([num_pos, num_eng, imgs.shape[1], imgs.shape[2]]) img_xanes = np.zeros([num_pos, num_eng, s[1], s[2]]) img_bkg = np.zeros([num_eng, s[1], s[2]]) index = 1 for repeat in range(repeat_num): # revised here try: print(f"repeat: {repeat}") for i in range(num_eng): for j in range(num_pos): img_xanes[j, i] = np.mean(np.array(imgs[index]), axis=0) index += 1 img_bkg[i] = np.mean(np.array(imgs[index]), axis=0) index += 1 for i in range(num_eng): for j in range(num_pos): img_xanes[j, i] = (img_xanes[j, i] - img_dark) / ( img_bkg[i] - img_dark ) # save data #fn = os.getcwd() + "/" fn = fpath for j in range(num_pos): fname = ( f"{fn}{scan_type}_id_{scan_id}_repeat_{repeat:02d}_pos_{j:02d}.h5" ) print(f"saving {fname}") with h5py.File(fname, "w") as hf: hf.create_dataset("uid", data=uid) hf.create_dataset("scan_id", data=scan_id) hf.create_dataset("note", data=str(note)) hf.create_dataset("scan_time", data=scan_time) hf.create_dataset("X_eng", data=eng_list) hf.create_dataset( "img_bkg", data=np.array(img_bkg, dtype=np.float32) ) hf.create_dataset( "img_dark", data=np.array(img_dark, dtype=np.float32) ) hf.create_dataset( "img_xanes", data=np.array(img_xanes[j], dtype=np.float32) ) hf.create_dataset("Magnification", data=M) hf.create_dataset("Pixel Size", data=str(pxl_sz)+'nm') try: write_lakeshore_to_file(h, fname) except: print("fails to write lakeshore info into {fname}") except: print(f"fails in export repeat# {repeat}") del img_xanes del img_bkg del img_dark del imgs
def export_tomo_scan_legacy(h, fpath=None): if fpath is None: fpath = './' elif not fpath[-1] == '/': fpath += '/' scan_type = 'tomo_scan' scan_id = h.start['scan_id'] try: x_eng = h.start['XEng'] except: x_eng = h.start['x_ray_energy'] bkg_img_num = h.start['num_bkg_images'] dark_img_num = h.start['num_dark_images'] chunk_size = h.start['plan_args']['chunk_size'] angle_i = h.start['plan_args']['start'] angle_e = h.start['plan_args']['stop'] angle_n = h.start['plan_args']['num'] exposure_t = h.start['plan_args']['exposure_time'] img = np.array(list(h.data('Andor_image'))) img_dark = img[0:dark_img_num].reshape(-1, img.shape[-2], img.shape[-1]) img_tomo = img[dark_img_num:-bkg_img_num] img_bkg = img[-bkg_img_num:].reshape(-1, img.shape[-2], img.shape[-1]) s = img_dark.shape img_angle = np.linspace(angle_i, angle_e, angle_n) fname = fpath + scan_type + '_id_' + str(scan_id) + '.h5' with h5py.File(fname, 'w') as hf: hf.create_dataset('scan_id', data=scan_id) hf.create_dataset('X_eng', data=x_eng) hf.create_dataset('img_bkg', data=img_bkg) hf.create_dataset('img_dark', data=img_dark) hf.create_dataset('img_tomo', data=img_tomo) hf.create_dataset('angle', data=img_angle) try: write_lakeshore_to_file(h, fname) except: print('fails to write lakeshore info into {fname}') del img del img_tomo del img_dark del img_bkg def export_fly_scan_legacy(h, fpath=None): if fpath is None: fpath = './' elif not fpath[-1] == '/': fpath += '/' uid = h.start['uid'] note = h.start['note'] scan_type = 'fly_scan' scan_id = h.start['scan_id'] scan_time = h.start['time'] x_pos = h.table('baseline')['zps_sx'][1] y_pos = h.table('baseline')['zps_sy'][1] z_pos = h.table('baseline')['zps_sz'][1] r_pos = h.table('baseline')['zps_pi_r'][1] zp_z_pos = h.table('baseline')['zp_z'][1] det_u_z_pos = h.table('baseline')['DetU_z'][1] m = (DetU_z_pos / zp_z_pos - 1) * 10.0 pxl_sz = 6500.0 / M try: x_eng = h.start['XEng'] except: x_eng = h.start['x_ray_energy'] chunk_size = h.start['chunk_size'] assert 'zps_pi_r_monitor' in h.stream_names pos = h.table('zps_pi_r_monitor') imgs = np.array(list(h.data('Andor_image'))) img_dark = imgs[0] img_bkg = imgs[-1] s = img_dark.shape img_dark_avg = np.mean(img_dark, axis=0).reshape(1, s[1], s[2]) img_bkg_avg = np.mean(img_bkg, axis=0).reshape(1, s[1], s[2]) imgs = imgs[1:-1] s1 = imgs.shape imgs = imgs.reshape([s1[0] * s1[1], s1[2], s1[3]]) with db.reg.handler_context({'AD_HDF5': AreaDetectorHDF5TimestampHandler}): chunked_timestamps = list(h.data('Andor_image')) chunked_timestamps = chunked_timestamps[1:-1] raw_timestamps = [] for chunk in chunked_timestamps: raw_timestamps.extend(chunk.tolist()) timestamps = convert_ad_timestamps(pd.Series(raw_timestamps)) pos['time'] = pos['time'].dt.tz_localize('US/Eastern') (img_day, img_hour) = (timestamps.dt.day, timestamps.dt.hour) (img_min, img_sec, img_msec) = (timestamps.dt.minute, timestamps.dt.second, timestamps.dt.microsecond) img_time = img_day * 86400 + img_hour * 3600 + img_min * 60 + img_sec + img_msec * 1e-06 img_time = np.array(img_time) (mot_day, mot_hour) = (pos['time'].dt.day, pos['time'].dt.hour) (mot_min, mot_sec, mot_msec) = (pos['time'].dt.minute, pos['time'].dt.second, pos['time'].dt.microsecond) mot_time = mot_day * 86400 + mot_hour * 3600 + mot_min * 60 + mot_sec + mot_msec * 1e-06 mot_time = np.array(mot_time) mot_pos = np.array(pos['zps_pi_r']) offset = np.min([np.min(img_time), np.min(mot_time)]) img_time -= offset mot_time -= offset mot_pos_interp = np.interp(img_time, mot_time, mot_pos) pos2 = mot_pos_interp.argmax() + 1 img_angle = mot_pos_interp[:pos2] img_tomo = imgs[:pos2] fname = fpath + scan_type + '_id_' + str(scan_id) + '.h5' with h5py.File(fname, 'w') as hf: hf.create_dataset('note', data=str(note)) hf.create_dataset('uid', data=uid) hf.create_dataset('scan_id', data=int(scan_id)) hf.create_dataset('scan_time', data=scan_time) hf.create_dataset('X_eng', data=x_eng) hf.create_dataset('img_bkg', data=np.array(img_bkg, dtype=np.uint16)) hf.create_dataset('img_dark', data=np.array(img_dark, dtype=np.uint16)) hf.create_dataset('img_bkg_avg', data=np.array(img_bkg_avg, dtype=np.float32)) hf.create_dataset('img_dark_avg', data=np.array(img_dark_avg, dtype=np.float32)) hf.create_dataset('img_tomo', data=np.array(img_tomo, dtype=np.uint16)) hf.create_dataset('angle', data=img_angle) hf.create_dataset('x_ini', data=x_pos) hf.create_dataset('y_ini', data=y_pos) hf.create_dataset('z_ini', data=z_pos) hf.create_dataset('r_ini', data=r_pos) hf.create_dataset('Magnification', data=M) hf.create_dataset('Pixel Size', data=str(str(pxl_sz) + 'nm')) try: write_lakeshore_to_file(h, fname) except: print('fails to write lakeshore info into {fname}') del img_tomo del img_dark del img_bkg del imgs def export_xanes_scan_legacy(h, fpath=None): if fpath is None: fpath = './' elif not fpath[-1] == '/': fpath += '/' zp_z_pos = h.table('baseline')['zp_z'][1] det_u_z_pos = h.table('baseline')['DetU_z'][1] m = (DetU_z_pos / zp_z_pos - 1) * 10.0 pxl_sz = 6500.0 / M scan_type = h.start['plan_name'] uid = h.start['uid'] note = h.start['note'] scan_id = h.start['scan_id'] scan_time = h.start['time'] try: x_eng = h.start['XEng'] except: x_eng = h.start['x_ray_energy'] chunk_size = h.start['chunk_size'] num_eng = h.start['num_eng'] imgs = np.array(list(h.data('Andor_image'))) img_dark = imgs[0] img_dark_avg = np.mean(img_dark, axis=0).reshape([1, img_dark.shape[1], img_dark.shape[2]]) eng_list = list(h.start['eng_list']) s = imgs.shape img_xanes_avg = np.zeros([num_eng, s[2], s[3]]) img_bkg_avg = np.zeros([num_eng, s[2], s[3]]) if scan_type == 'xanes_scan': for i in range(num_eng): img_xanes = imgs[i + 1] img_xanes_avg[i] = np.mean(img_xanes, axis=0) img_bkg = imgs[i + 1 + num_eng] img_bkg_avg[i] = np.mean(img_bkg, axis=0) elif scan_type == 'xanes_scan2': j = 1 for i in range(num_eng): img_xanes = imgs[j] img_xanes_avg[i] = np.mean(img_xanes, axis=0) img_bkg = imgs[j + 1] img_bkg_avg[i] = np.mean(img_bkg, axis=0) j = j + 2 else: print('un-recognized xanes scan......') return 0 img_xanes_norm = (img_xanes_avg - img_dark_avg) * 1.0 / (img_bkg_avg - img_dark_avg) img_xanes_norm[np.isnan(img_xanes_norm)] = 0 img_xanes_norm[np.isinf(img_xanes_norm)] = 0 img_bkg = np.array(img_bkg, dtype=np.float32) fname = fpath + scan_type + '_id_' + str(scan_id) + '.h5' with h5py.File(fname, 'w') as hf: hf.create_dataset('uid', data=uid) hf.create_dataset('scan_id', data=scan_id) hf.create_dataset('note', data=str(note)) hf.create_dataset('scan_time', data=scan_time) hf.create_dataset('X_eng', data=eng_list) hf.create_dataset('img_bkg', data=np.array(img_bkg_avg, dtype=np.float32)) hf.create_dataset('img_dark', data=np.array(img_dark_avg, dtype=np.float32)) hf.create_dataset('img_xanes', data=np.array(img_xanes_norm, dtype=np.float32)) hf.create_dataset('Magnification', data=M) hf.create_dataset('Pixel Size', data=str(pxl_sz) + 'nm') try: write_lakeshore_to_file(h, fname) except: print('fails to write lakeshore info into {fname}') del img_xanes, img_dark, img_bkg, img_xanes_avg, img_dark_avg del img_bkg_avg, imgs, img_xanes_norm def fly_scan_repeat_legacy(exposure_time=0.03, start_angle=None, relative_rot_angle=185, period=0.05, chunk_size=20, x_list=[], y_list=[], z_list=[], out_x=0, out_y=-100, out_z=0, out_r=0, rs=6, note='', repeat=1, sleep_time=0, simu=False, relative_move_flag=1, rot_first_flag=1, rot_back_velo=30, md=None): nx = len(x_list) ny = len(y_list) nz = len(z_list) if nx == 0 & ny == 0 & nz == 0: for i in range(repeat): yield from fly_scan_legacy(exposure_time=exposure_time, start_angle=start_angle, relative_rot_angle=relative_rot_angle, period=period, chunk_size=chunk_size, out_x=out_x, out_y=out_y, out_z=out_z, out_r=out_r, rs=rs, note=note, simu=simu, relative_move_flag=relative_move_flag, rot_first_flag=rot_first_flag, rot_back_velo=rot_back_velo, md=md) print(f'Scan at time point {i:3d} is finished; sleep for {sleep_time:3.1f} seconds now.') insert_text(f'Scan at time point {i:3d} is finished; sleep for {sleep_time:3.1f} seconds now.') if i != repeat - 1: yield from bps.sleep(sleep_time) export_pdf(1) elif nx != ny or nx != nz or ny != nz: print('!!!!! Position lists are not equal in length. Please check your position list definition !!!!!') else: for i in range(repeat): for j in range(nx): yield from mv(zps.sx, x_list[j], zps.sy, y_list[j], zps.sz, z_list[j]) yield from fly_scan(exposure_time=exposure_time, start_angle=start_angle, relative_rot_angle=relative_rot_angle, period=period, chunk_size=chunk_size, out_x=out_x, out_y=out_y, out_z=out_z, out_r=out_r, rs=rs, note=note, simu=simu, relative_move_flag=relative_move_flag, rot_first_flag=rot_first_flag, rot_back_velo=rot_back_velo, md=md) insert_text(f'Scan at time point {i:3d} is finished; sleep for {sleep_time:3.1f} seconds now.') print(f'Scan at time point {i:3d} is finished; sleep for {sleep_time:3.1f} seconds now.') if i != repeat - 1: yield from bps.sleep(sleep_time) export_pdf(1) def export_multipos_2_d_xanes_scan2(h, fpath=None): if fpath is None: fpath = './' elif not fpath[-1] == '/': fpath += '/' scan_type = h.start['plan_name'] uid = h.start['uid'] note = h.start['note'] scan_id = h.start['scan_id'] scan_time = h.start['time'] x_eng = h.start['XEng'] chunk_size = h.start['chunk_size'] chunk_size = h.start['num_bkg_images'] num_eng = h.start['num_eng'] num_pos = h.start['num_pos'] zp_z_pos = h.table('baseline')['zp_z'][1] det_u_z_pos = h.table('baseline')['DetU_z'][1] m = (DetU_z_pos / zp_z_pos - 1) * 10.0 pxl_sz = 6500.0 / M try: repeat_num = h.start['plan_args']['repeat_num'] except: repeat_num = 1 imgs = list(h.data('Andor_image')) img_dark = np.array(imgs[0]) img_dark = np.mean(img_dark, axis=0, keepdims=True) eng_list = list(h.start['eng_list']) s = img_dark.shape img_xanes = np.zeros([num_pos, num_eng, s[1], s[2]]) img_bkg = np.zeros([num_eng, s[1], s[2]]) index = 1 for repeat in range(repeat_num): try: print(f'repeat: {repeat}') for i in range(num_eng): for j in range(num_pos): img_xanes[j, i] = np.mean(np.array(imgs[index]), axis=0) index += 1 img_bkg[i] = np.mean(np.array(imgs[index]), axis=0) index += 1 for i in range(num_eng): for j in range(num_pos): img_xanes[j, i] = (img_xanes[j, i] - img_dark) / (img_bkg[i] - img_dark) fn = fpath for j in range(num_pos): fname = f'{fn}{scan_type}_id_{scan_id}_repeat_{repeat:02d}_pos_{j:02d}.h5' print(f'saving {fname}') with h5py.File(fname, 'w') as hf: hf.create_dataset('uid', data=uid) hf.create_dataset('scan_id', data=scan_id) hf.create_dataset('note', data=str(note)) hf.create_dataset('scan_time', data=scan_time) hf.create_dataset('X_eng', data=eng_list) hf.create_dataset('img_bkg', data=np.array(img_bkg, dtype=np.float32)) hf.create_dataset('img_dark', data=np.array(img_dark, dtype=np.float32)) hf.create_dataset('img_xanes', data=np.array(img_xanes[j], dtype=np.float32)) hf.create_dataset('Magnification', data=M) hf.create_dataset('Pixel Size', data=str(pxl_sz) + 'nm') try: write_lakeshore_to_file(h, fname) except: print('fails to write lakeshore info into {fname}') except: print(f'fails in export repeat# {repeat}') del img_xanes del img_bkg del img_dark del imgs
class Options: def __init__(self, *, filename: str, collapse_single_pages: bool, strict: bool): self.filename = filename self.collapse_single_pages = collapse_single_pages self.strict = strict
class Options: def __init__(self, *, filename: str, collapse_single_pages: bool, strict: bool): self.filename = filename self.collapse_single_pages = collapse_single_pages self.strict = strict
__all__ = [ 'Mouse', 'Render' ]
__all__ = ['Mouse', 'Render']
METRICS = ['cityblock', 'euclidean'] NORMALIZE = 'gaussian' SUB_SAMPLE = 64_000 # for testing the implementation MAX_DEPTH = 50 # even though no dataset reaches this far
metrics = ['cityblock', 'euclidean'] normalize = 'gaussian' sub_sample = 64000 max_depth = 50
# from ..package1 import module1a ValueError: attempted relative import beyond top-level package def func2a(): print('2a')
def func2a(): print('2a')
configs = { 'camera_res': (320, 240), 'crop_top' : 2/6, 'crop_bot' : 5/6, 'exposure' : 3, 'CSIexposure' : 3000, 'CSIframerate': 90 } cropped_vres = int(configs['camera_res'][1]*(configs['crop_bot'])) - int(configs['camera_res'][1]*(configs['crop_top'])) configs['output_res'] = (configs['camera_res'][0], cropped_vres)
configs = {'camera_res': (320, 240), 'crop_top': 2 / 6, 'crop_bot': 5 / 6, 'exposure': 3, 'CSIexposure': 3000, 'CSIframerate': 90} cropped_vres = int(configs['camera_res'][1] * configs['crop_bot']) - int(configs['camera_res'][1] * configs['crop_top']) configs['output_res'] = (configs['camera_res'][0], cropped_vres)
headPort = "COM5" i01 = Runtime.createAndStart("i01", "InMoov") mouthControl=i01.startMouthControl("COM5") head = i01.startHead(headPort) leftArm = i01.startLeftArm(headPort) leftHand = i01.startLeftHand(headPort) headTracking = i01.startHeadTracking("COM5") eyesTracking= i01.startEyesTracking("COM5") i01.headTracking.startLKTracking() i01.eyesTracking.startLKTracking() i01.startEar() ############################################################ #!!!my eyeY servo and jaw servo are reverted, Gael should delete this part !!!! i01.leftArm.bicep.setMinMax(10,85) i01.head.eyeY.map(0,180,180,0) i01.head.eyeY.setMinMax(22,85) i01.head.eyeX.setMinMax(60,85) i01.head.eyeY.setRest(45) i01.head.eyeY.moveTo(45) i01.head.jaw.setMinMax(10,75) i01.head.jaw.moveTo(70) i01.mouthControl.setmouth(75,55) ############################################################ i01.startMouth() i01.mouth.setGoogleURI("http://thehackettfamily.org/Voice_api/api2.php?voice=Graham&txt=") i01.headTracking.xpid.setPID(10.0,5.0,0.1) i01.headTracking.ypid.setPID(15.0,5.0,0.1) i01.eyesTracking.xpid.setPID(15.0,5.0,0.1) i01.eyesTracking.ypid.setPID(15.0,5.0,0.1) ear = i01.ear ear.addCommand("attach", "i01", "attach") ear.addCommand("detach", "i01", "detach") ear.addCommand("track humans", "python", "trackHumans") ear.addCommand("track point", "python", "trackPoint") ear.addCommand("stop tracking", "python", "stopTracking") ear.addCommand("rest position", "i01.head", "rest") ear.addCommand("close hand", "i01.leftHand", "close") ear.addCommand("open hand", "i01.leftHand", "open") ear.addComfirmations("yes", "correct", "yeah", "ya") ear.addNegations("no", "wrong", "nope", "nah") # all commands MUST be before startListening ear.startListening()
head_port = 'COM5' i01 = Runtime.createAndStart('i01', 'InMoov') mouth_control = i01.startMouthControl('COM5') head = i01.startHead(headPort) left_arm = i01.startLeftArm(headPort) left_hand = i01.startLeftHand(headPort) head_tracking = i01.startHeadTracking('COM5') eyes_tracking = i01.startEyesTracking('COM5') i01.headTracking.startLKTracking() i01.eyesTracking.startLKTracking() i01.startEar() i01.leftArm.bicep.setMinMax(10, 85) i01.head.eyeY.map(0, 180, 180, 0) i01.head.eyeY.setMinMax(22, 85) i01.head.eyeX.setMinMax(60, 85) i01.head.eyeY.setRest(45) i01.head.eyeY.moveTo(45) i01.head.jaw.setMinMax(10, 75) i01.head.jaw.moveTo(70) i01.mouthControl.setmouth(75, 55) i01.startMouth() i01.mouth.setGoogleURI('http://thehackettfamily.org/Voice_api/api2.php?voice=Graham&txt=') i01.headTracking.xpid.setPID(10.0, 5.0, 0.1) i01.headTracking.ypid.setPID(15.0, 5.0, 0.1) i01.eyesTracking.xpid.setPID(15.0, 5.0, 0.1) i01.eyesTracking.ypid.setPID(15.0, 5.0, 0.1) ear = i01.ear ear.addCommand('attach', 'i01', 'attach') ear.addCommand('detach', 'i01', 'detach') ear.addCommand('track humans', 'python', 'trackHumans') ear.addCommand('track point', 'python', 'trackPoint') ear.addCommand('stop tracking', 'python', 'stopTracking') ear.addCommand('rest position', 'i01.head', 'rest') ear.addCommand('close hand', 'i01.leftHand', 'close') ear.addCommand('open hand', 'i01.leftHand', 'open') ear.addComfirmations('yes', 'correct', 'yeah', 'ya') ear.addNegations('no', 'wrong', 'nope', 'nah') ear.startListening()
class Solution: def totalNQueens(self, n: int) -> int: def backtrack(row, cols, diagonals, antiDiagonals): if row == n: return 1 solutions = 0 for col in range(n): currentDiagonal = row - col currentAntiDiagonal = row + col if (col in cols or currentDiagonal in diagonals or currentAntiDiagonal in antiDiagonals): continue cols.add(col) diagonals.add(currentDiagonal) antiDiagonals.add(currentAntiDiagonal) solutions += backtrack(row + 1, cols, diagonals, antiDiagonals) cols.remove(col) diagonals.remove(currentDiagonal) antiDiagonals.remove(currentAntiDiagonal) return solutions return backtrack(0, set(), set(), set())
class Solution: def total_n_queens(self, n: int) -> int: def backtrack(row, cols, diagonals, antiDiagonals): if row == n: return 1 solutions = 0 for col in range(n): current_diagonal = row - col current_anti_diagonal = row + col if col in cols or currentDiagonal in diagonals or currentAntiDiagonal in antiDiagonals: continue cols.add(col) diagonals.add(currentDiagonal) antiDiagonals.add(currentAntiDiagonal) solutions += backtrack(row + 1, cols, diagonals, antiDiagonals) cols.remove(col) diagonals.remove(currentDiagonal) antiDiagonals.remove(currentAntiDiagonal) return solutions return backtrack(0, set(), set(), set())
s = '''en;q=0.8, de;q=0.7, fr-CH, fr;q=0.9, *;q=0.5''' accept_language = AcceptLanguage(s) pobj(accept_language.sarr) pobj(accept_language.darr) accept_language.header_type accept_language.forbidden_header_name accept_language.cros_safelisted_request_header accept_language.qsort() accept_language.rm_locale("CH") accept_language.rm_language("*") accept_language.rm_q(lambda ele:ele['q']>=0.8) accept_language accept_language.append('de',0.7) accept_language.append('*') accept_language.append('zh','TW') accept_language.append('zh','CH',0.2)
s = 'en;q=0.8, de;q=0.7, fr-CH, fr;q=0.9, *;q=0.5' accept_language = accept_language(s) pobj(accept_language.sarr) pobj(accept_language.darr) accept_language.header_type accept_language.forbidden_header_name accept_language.cros_safelisted_request_header accept_language.qsort() accept_language.rm_locale('CH') accept_language.rm_language('*') accept_language.rm_q(lambda ele: ele['q'] >= 0.8) accept_language accept_language.append('de', 0.7) accept_language.append('*') accept_language.append('zh', 'TW') accept_language.append('zh', 'CH', 0.2)
# Python Program to Calculate Sum of Odd Numbers from 1 to 20 maxnum = 20 oddadd = 0 for num in range(1, maxnum + 1): if num % 2 != 0: #print("odd number :",num) oddadd=oddadd+num print("Sum of Odd Number from 1 to 20 is:",oddadd)
maxnum = 20 oddadd = 0 for num in range(1, maxnum + 1): if num % 2 != 0: oddadd = oddadd + num print('Sum of Odd Number from 1 to 20 is:', oddadd)
#!/usr/bin/env python NAME = 'Naxsi' def is_waf(self): return self.match_header(('X-Data-Origin', '^naxsi'))
name = 'Naxsi' def is_waf(self): return self.match_header(('X-Data-Origin', '^naxsi'))
#!/usr/bin/env python3 class FuseModel: def fuse(self, first, second): raise NotImplementedError()
class Fusemodel: def fuse(self, first, second): raise not_implemented_error()
table = {"I":1, "V":5, "X":10, "L":50, "C":100, "D":500, "M":1000} roman = "MDCLXVI" number = 0 for ch in roman: number += table[ch] print(number)
table = {'I': 1, 'V': 5, 'X': 10, 'L': 50, 'C': 100, 'D': 500, 'M': 1000} roman = 'MDCLXVI' number = 0 for ch in roman: number += table[ch] print(number)
# STATIC FILES HOUSING_SECTOR_BILL_FILE = 'static_files/bill.pdf' PRODUCTS_CSV_FILE = 'static_files/list.csv' INDEX_CSV_FILE = 'static_files/index.csv' # URLs URL_TO_PARSE_FUEL = "https://auto.mail.ru/fuel/" URL_TO_PARSE_MCD_TICKETS = "https://troikarta.ru/tarify/mcd/" URL_TO_PARSE_ELECTRICITY_PRICE = "https://www.mosenergosbyt.ru/individuals/tariffs-n-payments/" \ "tariffs-mo/kvartiry-i-doma-s-elektricheskimi-plitami-mo.php" # Fuel Counters FUEL_LITTERS_PER_MONTH: int = 40 TRAIN_TICKETS_PER_MONTH: int = 41 # Housing sector counts COLD_WATER_AVERAGE_CONSUMPTION: int = 7 HOT_WATER_AVERAGE_CONSUMPTION: int = 3 ELECTRICITY_COUNTER: int = 260 # Static prices MCD_PRICE: int = 50 ELECTRICITY_PRICE: float = 4.29
housing_sector_bill_file = 'static_files/bill.pdf' products_csv_file = 'static_files/list.csv' index_csv_file = 'static_files/index.csv' url_to_parse_fuel = 'https://auto.mail.ru/fuel/' url_to_parse_mcd_tickets = 'https://troikarta.ru/tarify/mcd/' url_to_parse_electricity_price = 'https://www.mosenergosbyt.ru/individuals/tariffs-n-payments/tariffs-mo/kvartiry-i-doma-s-elektricheskimi-plitami-mo.php' fuel_litters_per_month: int = 40 train_tickets_per_month: int = 41 cold_water_average_consumption: int = 7 hot_water_average_consumption: int = 3 electricity_counter: int = 260 mcd_price: int = 50 electricity_price: float = 4.29
class Solution: def twoSum(self, numbers, target): i, j = 0, len(numbers) - 1 while i < j: ts = numbers[i] + numbers[j] if ts == target: break elif ts > target: j = j - 1 else: i = i + 1 return [i+1, j+1]
class Solution: def two_sum(self, numbers, target): (i, j) = (0, len(numbers) - 1) while i < j: ts = numbers[i] + numbers[j] if ts == target: break elif ts > target: j = j - 1 else: i = i + 1 return [i + 1, j + 1]
''' Find first missing positive integer (>0) Given an array of integers, find the first missing positive integer in linear time and constant space. In other words, find the lowest positive integer that does not exist in the array. The array can contain duplicates and negative numbers as well. Note: you can modify the input array in-place. Input: [3, 4, -1, 1] Output: 2 Input: [1, 2, 0] Output: 3 ========================================= Move all values to their positions (val position = val - 1), in the end find the first position which doesn't have the needed value. Time Complexity: O(N) , maybe nested loops look like O(N^2) but that not true Space Complexity: O(1) Play with indicies and mark them (make it negative), a marked index means that the number equals to that index exist in the array. Time Complexity: O(N) Space Complexity: O(1) ''' ############## # Solution 1 # ############## def find_first_missing_1(a): n = len(a) for i in range(n): while (a[i] > 0) and (a[i] <= n): swap = a[i] - 1 if a[i] == a[swap]: break # swap elements a[i], a[swap] = a[swap], a[i] for i in range(n): if a[i] - 1 != i: return i + 1 return n + 1 ############## # Solution 2 # ############## def find_first_missing_2(a): n = len(a) # eliminate all zeros and all negative numbers for i in range(n): if a[i] <= 0: a[i] = n + 1 # those values won't be used later # find all numbers in the range and mark all numbers at those positions as negative numbers for i in range(n): idx = abs(a[i]) - 1 if idx >= n: continue # mark the element as found a[idx] = -abs(a[idx]) # find the first non-negative position for i in range(n): if a[i] > 0: return i + 1 return n + 1 ########### # Testing # ########### # Test 1 # Correct result => 1 test = [-1, 2, 3] print(find_first_missing_1(list(test))) # make a copy, the list will be changed inside the function print(find_first_missing_2(list(test))) # Test 2 # Correct result => 2 test = [3, 4, -1, 1] print(find_first_missing_1(list(test))) print(find_first_missing_2(list(test))) # Test 3 # Correct result => 3 test = [1, 2, 0] print(find_first_missing_1(list(test))) print(find_first_missing_2(list(test))) # Test 4 # Correct result => 4 test = [1, 2, 3] print(find_first_missing_1(list(test))) print(find_first_missing_2(list(test))) # Test 5 # Correct result => 1 test = [-4, -1, -3, -1] print(find_first_missing_1(list(test))) print(find_first_missing_2(list(test))) # Test 6 # Correct result => 3 test = [2, 1, 2, -1, 0, 20] print(find_first_missing_1(list(test))) print(find_first_missing_2(list(test))) # Test 7 # Correct result => 3 test = [1, 2, 5, 5, 1, 2] print(find_first_missing_1(list(test))) print(find_first_missing_2(list(test))) # Test 8 # Correct result => 4 test = [1, 2, 3, 5, 1, 2, 3, 3] print(find_first_missing_1(list(test))) print(find_first_missing_2(list(test)))
""" Find first missing positive integer (>0) Given an array of integers, find the first missing positive integer in linear time and constant space. In other words, find the lowest positive integer that does not exist in the array. The array can contain duplicates and negative numbers as well. Note: you can modify the input array in-place. Input: [3, 4, -1, 1] Output: 2 Input: [1, 2, 0] Output: 3 ========================================= Move all values to their positions (val position = val - 1), in the end find the first position which doesn't have the needed value. Time Complexity: O(N) , maybe nested loops look like O(N^2) but that not true Space Complexity: O(1) Play with indicies and mark them (make it negative), a marked index means that the number equals to that index exist in the array. Time Complexity: O(N) Space Complexity: O(1) """ def find_first_missing_1(a): n = len(a) for i in range(n): while a[i] > 0 and a[i] <= n: swap = a[i] - 1 if a[i] == a[swap]: break (a[i], a[swap]) = (a[swap], a[i]) for i in range(n): if a[i] - 1 != i: return i + 1 return n + 1 def find_first_missing_2(a): n = len(a) for i in range(n): if a[i] <= 0: a[i] = n + 1 for i in range(n): idx = abs(a[i]) - 1 if idx >= n: continue a[idx] = -abs(a[idx]) for i in range(n): if a[i] > 0: return i + 1 return n + 1 test = [-1, 2, 3] print(find_first_missing_1(list(test))) print(find_first_missing_2(list(test))) test = [3, 4, -1, 1] print(find_first_missing_1(list(test))) print(find_first_missing_2(list(test))) test = [1, 2, 0] print(find_first_missing_1(list(test))) print(find_first_missing_2(list(test))) test = [1, 2, 3] print(find_first_missing_1(list(test))) print(find_first_missing_2(list(test))) test = [-4, -1, -3, -1] print(find_first_missing_1(list(test))) print(find_first_missing_2(list(test))) test = [2, 1, 2, -1, 0, 20] print(find_first_missing_1(list(test))) print(find_first_missing_2(list(test))) test = [1, 2, 5, 5, 1, 2] print(find_first_missing_1(list(test))) print(find_first_missing_2(list(test))) test = [1, 2, 3, 5, 1, 2, 3, 3] print(find_first_missing_1(list(test))) print(find_first_missing_2(list(test)))
BASKET_CREATED = 'basket_created' ADD_ITEM = 'add_item' ITEM_ADDED = 'item_added' CHECKOUT = 'checkout' CHECKOUT_STARTED = 'checkout_started' PAY_ORDER = 'pay_order'
basket_created = 'basket_created' add_item = 'add_item' item_added = 'item_added' checkout = 'checkout' checkout_started = 'checkout_started' pay_order = 'pay_order'
def check_scope(func): def check(self, other): if not isinstance(other, self.__class__) and type(other) != str: raise TypeError(f"Cannot compare type Scope with type {type(other).__name__}") if isinstance(other, self.__class__): other = other.scope if other not in self.valid_scopes: raise NameError(f"{other} is not a valid scope.") return func(self, other) return check def create_autoclass_for_sphinx(): with open('objects.py', 'r') as f: info = f.readline() while info: if info.startswith('class'): name = info.split()[1] if '(' in name: name = name.split('(')[0] else: name = name[:-1] content = f"{name}\n{'^' * len(name)}\n.. autoclass:: osu.{name}\n :members:\n\n" with open('text.txt', 'a') as f2: f2.write(content) f2.close() info = f.readline() f.close()
def check_scope(func): def check(self, other): if not isinstance(other, self.__class__) and type(other) != str: raise type_error(f'Cannot compare type Scope with type {type(other).__name__}') if isinstance(other, self.__class__): other = other.scope if other not in self.valid_scopes: raise name_error(f'{other} is not a valid scope.') return func(self, other) return check def create_autoclass_for_sphinx(): with open('objects.py', 'r') as f: info = f.readline() while info: if info.startswith('class'): name = info.split()[1] if '(' in name: name = name.split('(')[0] else: name = name[:-1] content = f"{name}\n{'^' * len(name)}\n.. autoclass:: osu.{name}\n :members:\n\n" with open('text.txt', 'a') as f2: f2.write(content) f2.close() info = f.readline() f.close()
expected_output = { { "object_manager_statistics": { "batch_begin": { "pending_acknowledgement": 0, "pending_issue": 0 }, "batch_end": { "pending_acknowledgement": 0, "pending_issue": 0 }, "childless_delete_objects": "0", "command": "0", "error_objects": "0", "object_update": { "pending_acknowledgement": 0, "pending_issue": 0 }, "paused_types": "0", "resolve_objects": "0", "stale_objects": "0", "total_objects": "419" } } }
expected_output = {{'object_manager_statistics': {'batch_begin': {'pending_acknowledgement': 0, 'pending_issue': 0}, 'batch_end': {'pending_acknowledgement': 0, 'pending_issue': 0}, 'childless_delete_objects': '0', 'command': '0', 'error_objects': '0', 'object_update': {'pending_acknowledgement': 0, 'pending_issue': 0}, 'paused_types': '0', 'resolve_objects': '0', 'stale_objects': '0', 'total_objects': '419'}}}
# creating a Class of name Employee class Employee: # creating a Class Variable increament = 1.5 # Creating a Constructor of the Class Employee def __init__(self, fname, lname, salary): # setting Values to the variables self.fname = fname # setting Values to the variables self.lname = lname # setting Values to the variables self.salary = salary def increase(self): # Creating a Constructor # making a change in the Class variable self.salary = int(self.salary * Employee.increament) # class method Property @classmethod # craeting a Function of Type Class Method def change_increament(cls, amount): # making change in Class Variable cls.increament = amount # class method Property @classmethod # craeting a Function of Type Class Method def from_string(cls, emp_string): # splitting the fname lname and salary from the String fname, lname, salary = emp_string.split("-") # returning the Extracted Values return cls(fname, lname, salary) @staticmethod # Class Static Method def is_open(day): # creating a function if day == "sunday" or day == "Sunday": # checking the Condition # returning on the basis of the output return False else: # returning the Alternate output on the basis of if statement return True # creating anathor class class Programmer(Employee): # creating a Constructor of Second Class def __init__(self, fname, lname, salary, proglang, exp): # calling the Constructor of the Employee Class super().__init__(fname, lname, salary) # Setting the Value to the Variable self.proglang = proglang # Setting the Value to the Variable self.exp = exp # creating a Object of Class Programmer and Assigning Values to the object harry = Programmer("Alex", "Mercer", 44000, "Python", "5 Years") print(harry.fname, harry.lname, # Printing The Values harry.salary, harry.proglang, harry.exp)
class Employee: increament = 1.5 def __init__(self, fname, lname, salary): self.fname = fname self.lname = lname self.salary = salary def increase(self): self.salary = int(self.salary * Employee.increament) @classmethod def change_increament(cls, amount): cls.increament = amount @classmethod def from_string(cls, emp_string): (fname, lname, salary) = emp_string.split('-') return cls(fname, lname, salary) @staticmethod def is_open(day): if day == 'sunday' or day == 'Sunday': return False else: return True class Programmer(Employee): def __init__(self, fname, lname, salary, proglang, exp): super().__init__(fname, lname, salary) self.proglang = proglang self.exp = exp harry = programmer('Alex', 'Mercer', 44000, 'Python', '5 Years') print(harry.fname, harry.lname, harry.salary, harry.proglang, harry.exp)
''' Count sort. Outperforms the default sorting routine when the range of values is reasonably bounded. ''' def count_sort(a): mn, mx = float('inf'), -float('inf') for x in a: if x < mn: mn = x if x > mx: mx = x counter = [0 for _ in range(mx - mn + 1)] for x in a: counter[x - mn] += 1 j = 0 for i in range(mx - mn + 1): a[j:j+counter[i]] = [i + mn]*counter[i] j += counter[i]
""" Count sort. Outperforms the default sorting routine when the range of values is reasonably bounded. """ def count_sort(a): (mn, mx) = (float('inf'), -float('inf')) for x in a: if x < mn: mn = x if x > mx: mx = x counter = [0 for _ in range(mx - mn + 1)] for x in a: counter[x - mn] += 1 j = 0 for i in range(mx - mn + 1): a[j:j + counter[i]] = [i + mn] * counter[i] j += counter[i]
name = "alita" version = "0.3.28" build_command = "python -m rezutil build {root}" private_build_requires = ["rezutil-1"] # Variables unrelated to Rez are typically prefixed with `_` _data = { "label": "Alita - Battle Angel", "icon": "{root}/resources/icon_{width}x{height}.png" } _requires = { "any": [ "welcome-1", "base-1", # Supported DCCs, if either of these are used, # this must be their version. "~blender==2.80.0", "~maya==2017.0.4|==2018.0.6", "~dev_maya2", # hidden "~nuke==11.3.5", "~terminal==1.4.0", ], # Requirements relative a request # E.g. if `alita maya` is requested, the "maya" # requirements are added to the list. "maya": [ "maya_base", "mgear-2.4", ], "nuke": [ ] } _environ = { "any": { "PROJECT_NAME": "Alita", "PROJECT_PATH": "{env.PROJECTS_PATH}/alita", # For locating in e.g. ftrack "PRODUCTION_TRACKER_ID": "alita-123", }, # Global overrides for TDs and free-form scripts # These lack version or write-access control, and # are intended for quick hacks and experimentation # by artists not familiar or involved with Rez # or overall package distribution. "maya": { "MYPATH": "{env.REZ_MAYA_MAJOR_VERSION}/some/dir", "MAYA_COLOR_MANAGEMENT_POLICY_FILE": [ "{env.PROJECT_PATH}/maya/color_management" "/default_synColorConfig.xml" ], "PYTHONPATH": [ "{env.PROJECT_PATH}/maya/scripts", "{env.PROJECT_PATH}/maya/shelves", ], "MAYA_PLUG_IN_PATH": [ "{env.PROJECT_PATH}/maya/plugins" ], "MAYA_SCRIPT_PATH": [ "{env.PROJECT_PATH}/maya/scripts", ], "MAYA_SHELF_PATH": "{env.PROJECT_PATH}/maya/shelves", "XBMLANGPATH": [ "{env.PROJECT_PATH}/maya/shelves/icons" ], } } # --------- # # Internal # # --------- late = locals()["late"] @late() def requires(): global this global request global in_context requires = this._requires result = requires["any"][:] # Add request-specific requirements if in_context(): for name, reqs in requires.items(): if name not in request: continue result += reqs return result def commands(): global env global this global request global expandvars environ = this._environ result = list(environ["any"].items()) # Add request-specific environments for key, values in environ.items(): if key not in request: continue result += list(values.items()) for key, value in result: if isinstance(value, (tuple, list)): [env[key].append(expandvars(v)) for v in value] else: env[key] = expandvars(value)
name = 'alita' version = '0.3.28' build_command = 'python -m rezutil build {root}' private_build_requires = ['rezutil-1'] _data = {'label': 'Alita - Battle Angel', 'icon': '{root}/resources/icon_{width}x{height}.png'} _requires = {'any': ['welcome-1', 'base-1', '~blender==2.80.0', '~maya==2017.0.4|==2018.0.6', '~dev_maya2', '~nuke==11.3.5', '~terminal==1.4.0'], 'maya': ['maya_base', 'mgear-2.4'], 'nuke': []} _environ = {'any': {'PROJECT_NAME': 'Alita', 'PROJECT_PATH': '{env.PROJECTS_PATH}/alita', 'PRODUCTION_TRACKER_ID': 'alita-123'}, 'maya': {'MYPATH': '{env.REZ_MAYA_MAJOR_VERSION}/some/dir', 'MAYA_COLOR_MANAGEMENT_POLICY_FILE': ['{env.PROJECT_PATH}/maya/color_management/default_synColorConfig.xml'], 'PYTHONPATH': ['{env.PROJECT_PATH}/maya/scripts', '{env.PROJECT_PATH}/maya/shelves'], 'MAYA_PLUG_IN_PATH': ['{env.PROJECT_PATH}/maya/plugins'], 'MAYA_SCRIPT_PATH': ['{env.PROJECT_PATH}/maya/scripts'], 'MAYA_SHELF_PATH': '{env.PROJECT_PATH}/maya/shelves', 'XBMLANGPATH': ['{env.PROJECT_PATH}/maya/shelves/icons']}} late = locals()['late'] @late() def requires(): global this global request global in_context requires = this._requires result = requires['any'][:] if in_context(): for (name, reqs) in requires.items(): if name not in request: continue result += reqs return result def commands(): global env global this global request global expandvars environ = this._environ result = list(environ['any'].items()) for (key, values) in environ.items(): if key not in request: continue result += list(values.items()) for (key, value) in result: if isinstance(value, (tuple, list)): [env[key].append(expandvars(v)) for v in value] else: env[key] = expandvars(value)
class Coins: ''' Coins class for monetization ''' def __init__(self): self.quarter = True
class Coins: """ Coins class for monetization """ def __init__(self): self.quarter = True
firstname = input("Give me your firstname: ") familyname = input("Give me your lastname: ") age = int(input("Give me your age: ")) # print(type(age)) print(firstname + familyname + str(age) + "years old") if age >= 18: print("You are an adult") elif age < 16: print("F U FAGGOT!") else: print("Fokking baby") print("end program") for i in range(0, 10): print(i) commando = input("Give me a commando, say stop to stop") while commando != "stop": commando = input("Give me a commando, say stop to stop")
firstname = input('Give me your firstname: ') familyname = input('Give me your lastname: ') age = int(input('Give me your age: ')) print(firstname + familyname + str(age) + 'years old') if age >= 18: print('You are an adult') elif age < 16: print('F U FAGGOT!') else: print('Fokking baby') print('end program') for i in range(0, 10): print(i) commando = input('Give me a commando, say stop to stop') while commando != 'stop': commando = input('Give me a commando, say stop to stop')
class EmployeeModel: def __init__(self, eid=0, did=0, name="", money=0): self.eid = eid self.did = did self.name = name self.money = money
class Employeemodel: def __init__(self, eid=0, did=0, name='', money=0): self.eid = eid self.did = did self.name = name self.money = money
# cmd blacklist __blacklist__ = { "help": "crashes the app (requires unsupported external user input)", "license": "crashes the app (requires unsupported external user input)" }
__blacklist__ = {'help': 'crashes the app (requires unsupported external user input)', 'license': 'crashes the app (requires unsupported external user input)'}
def function1(x, n): if n <= 0: return x else: return 1 + function1(x, n - 1) def function2(a, b): if a <= 0: return 1 + function1(a+1, b**a) else: return b def function3(a, b): if b <= 0: return a else: return a + b + function3(a, b -1) def function4(a, b, c): if a > b and a > c: return 1 + function4(b+1, c, a) elif b > a or b > c: return 1 - function4(b-1, c, a) else: return a+b+c
def function1(x, n): if n <= 0: return x else: return 1 + function1(x, n - 1) def function2(a, b): if a <= 0: return 1 + function1(a + 1, b ** a) else: return b def function3(a, b): if b <= 0: return a else: return a + b + function3(a, b - 1) def function4(a, b, c): if a > b and a > c: return 1 + function4(b + 1, c, a) elif b > a or b > c: return 1 - function4(b - 1, c, a) else: return a + b + c
#Passphrases #Advent of Code 2017 Day 4 #deal with the file file = open('input4.txt','r') input = file.read() file.close() lines = input.split("\n") validLines = 0 def isValid(line): words = line.split(" ") #print( str(len(words))) for x in range( 0, len(words) ): for y in range( x+1, len(words )): if( words[x] == words [y] ): return False return True for eachLine in lines: if isValid( eachLine ): validLines += 1 print('done: ' + str(validLines)) print( str(len(lines)))
file = open('input4.txt', 'r') input = file.read() file.close() lines = input.split('\n') valid_lines = 0 def is_valid(line): words = line.split(' ') for x in range(0, len(words)): for y in range(x + 1, len(words)): if words[x] == words[y]: return False return True for each_line in lines: if is_valid(eachLine): valid_lines += 1 print('done: ' + str(validLines)) print(str(len(lines)))
# Merge two sorted linked lists and return it as a new list. # The new list should be made by splicing together the nodes # of the first two lists. # # Input: 1->2->4, 1->3->4 # Output: 1->1->2->3->4->4 class ListNode: def __init__(self, val): self.val = val self.next = None class Solution: def merge(self, l1, l2): newnode = ListNode(-1) node = newnode while l1 is not None and l2 is not None: if l1.val <= l2.val: node.next = l1 l1 = l1.next else: node.next = l2 l2 = l2.next node = node.next node.next = l1 if l1 is not None else l2 return newnode.next if __name__ == "__main__": arr1 = [1, 3, 5, 7] arr2 = [2, 4, 6] node1 = ListNode(arr1[0]) node2 = ListNode(arr2[0]) n1 = node1 n2 = node2 for i in arr1[1:]: n1.next = ListNode(i) n1 = n1.next for i in arr2[1:]: n2.next = ListNode(i) n2 = n2.next node1 = None output = Solution().merge(node1, node2) while output: print(output.val) output = output.next
class Listnode: def __init__(self, val): self.val = val self.next = None class Solution: def merge(self, l1, l2): newnode = list_node(-1) node = newnode while l1 is not None and l2 is not None: if l1.val <= l2.val: node.next = l1 l1 = l1.next else: node.next = l2 l2 = l2.next node = node.next node.next = l1 if l1 is not None else l2 return newnode.next if __name__ == '__main__': arr1 = [1, 3, 5, 7] arr2 = [2, 4, 6] node1 = list_node(arr1[0]) node2 = list_node(arr2[0]) n1 = node1 n2 = node2 for i in arr1[1:]: n1.next = list_node(i) n1 = n1.next for i in arr2[1:]: n2.next = list_node(i) n2 = n2.next node1 = None output = solution().merge(node1, node2) while output: print(output.val) output = output.next
rows = [[1 if c == '#' else 0 for c in line[:-1]] for line in open('input.txt')] height, width, result = len(rows), len(rows[0]), 1 steps = [(1, 1), (3, 1), (5, 1), (7, 1), (1, 2)] for right, down in steps: trees, row, col = 0, 0, 0 for row in range(0, height, down): trees += rows[row][col] col = (col+right) % width result *= trees print(result)
rows = [[1 if c == '#' else 0 for c in line[:-1]] for line in open('input.txt')] (height, width, result) = (len(rows), len(rows[0]), 1) steps = [(1, 1), (3, 1), (5, 1), (7, 1), (1, 2)] for (right, down) in steps: (trees, row, col) = (0, 0, 0) for row in range(0, height, down): trees += rows[row][col] col = (col + right) % width result *= trees print(result)
def alternatingSort(a): b = [] i = 0 ; j = len(a)-1 j_turn = True while (i <= j): if (j_turn): b.append(a[i]) i += 1 j_turn = False else: b.append(a[j]) j -= 1 j_turn = True print(b) alternatingSort([1,2,3,4,5,6,7,8])
def alternating_sort(a): b = [] i = 0 j = len(a) - 1 j_turn = True while i <= j: if j_turn: b.append(a[i]) i += 1 j_turn = False else: b.append(a[j]) j -= 1 j_turn = True print(b) alternating_sort([1, 2, 3, 4, 5, 6, 7, 8])
def writeuser_tex(text_tex,env): if env == 1: text_file = open("latex/user_eq.tex", "w") text_file.write(r"\begin{align*}") text_file.write("\n") text_file.write(r"%s" % text_tex) text_file.write("\n") text_file.write(r"\end{align*}") text_file.close() elif env == 2: text_file = open("latex/user_eq.tex", "w") text_file.write(r"\begin{equation*}") text_file.write("\n") text_file.write(r"%s" % text_tex) text_file.write("\n") text_file.write(r"\end{equation*}") text_file.close() elif env == 3: text_file = open("latex/user_eq.tex", "w") text_file.write(r"$ %s $" % text_tex) text_file.close() elif env == 4: text_file = open("latex/user_eq.tex", "w") text_file.write(r"%s" % text_tex) text_file.close() def writeuser_cmd(fontsize,color): text_file = open(r"latex/user_cmd.tex", "w") text_file.write(r"\def\myfontsize{%s}" % str(fontsize)) text_file.write("\n") text_file.write(r"\def\myfontsizeplus{%s}" % str(float(fontsize)+5)) text_file.write("\n") text_file.write(r"\definecolor{mycolor}{HTML}{%s}" % color[1:]) text_file.close()
def writeuser_tex(text_tex, env): if env == 1: text_file = open('latex/user_eq.tex', 'w') text_file.write('\\begin{align*}') text_file.write('\n') text_file.write('%s' % text_tex) text_file.write('\n') text_file.write('\\end{align*}') text_file.close() elif env == 2: text_file = open('latex/user_eq.tex', 'w') text_file.write('\\begin{equation*}') text_file.write('\n') text_file.write('%s' % text_tex) text_file.write('\n') text_file.write('\\end{equation*}') text_file.close() elif env == 3: text_file = open('latex/user_eq.tex', 'w') text_file.write('$ %s $' % text_tex) text_file.close() elif env == 4: text_file = open('latex/user_eq.tex', 'w') text_file.write('%s' % text_tex) text_file.close() def writeuser_cmd(fontsize, color): text_file = open('latex/user_cmd.tex', 'w') text_file.write('\\def\\myfontsize{%s}' % str(fontsize)) text_file.write('\n') text_file.write('\\def\\myfontsizeplus{%s}' % str(float(fontsize) + 5)) text_file.write('\n') text_file.write('\\definecolor{mycolor}{HTML}{%s}' % color[1:]) text_file.close()
def subset_sum(numbers, target, partial=[]): s = sum(partial) # check if the partial sum is equals to target if s == target: return True elif s > target: return False # if we reach the number why bother to continue i=0 while i < len(numbers): n = numbers[i] remaining = numbers[i + 1:] if subset_sum(remaining, target, partial + [n])==True: return True i+=1 return False if __name__ == "__main__": numbers = [30, 35, 32, 30] print(subset_sum(numbers, 62))
def subset_sum(numbers, target, partial=[]): s = sum(partial) if s == target: return True elif s > target: return False i = 0 while i < len(numbers): n = numbers[i] remaining = numbers[i + 1:] if subset_sum(remaining, target, partial + [n]) == True: return True i += 1 return False if __name__ == '__main__': numbers = [30, 35, 32, 30] print(subset_sum(numbers, 62))
LEN_TIME = 3 MAPPING_TEXT = { "Train a l'approche": "APR", "Train a quai": "QAI", "Train retarde": "RET", "A l'approche": "APR", "A l'arret": "ARR", "Train arrete": "TAR", "": "NAV", "NAV": "NAV", "UNC": "UNC" } def get_timings(returned_page_data): first_destination = returned_page_data[0] first_time = returned_page_data[1] first_time_parsed = lcd_friendly(first_time) second_time = returned_page_data[3] second_time_parsed = lcd_friendly(second_time) if first_time == "ARRET NON DESSERVI" and second_time == "MANIFESTATION": return TimingIssue("NDS - Manifestation") elif first_time == "INTERROMPU" and second_time == "MANIFESTATION": return TimingIssue("INT - Manifestation") elif first_time == "ARRET NON DESSERVI": return TimingIssue("NDS") elif first_time == "DEVIATION" and second_time == "ARRET NON DESSERVI": return TimingIssue("NDS - Deviation") elif first_time == "SERVICE TERMINE" or first_time == "TERMINE" or second_time == "TERMINE": return TimingIssue("Termine") elif first_time == "SERVICE NON COMMENCE" or first_time == "NON COMMENCE" or second_time == "NON COMMENCE": return TimingIssue("Non commence") elif first_time == "INFO INDISPO ...." and second_time == "INFO INDISPO ....": return TimingIssue("Indisponible") if second_time == "DERNIER PASSAGE": second_time_parsed = "DER" elif second_time == "PREMIER PASSAGE": second_time_parsed = "PRE" first_destination = friendly_destination(first_destination) return RegularTimings(first_destination, first_time_parsed, second_time_parsed) def friendly_destination(text): text = text.replace("Porte de", "P.") text = text.replace("Porte d'", "P. ") text = text.replace("Pont de", "P.") text = text.replace("Pont du", "P.") text = text.replace("Mairie de", "M.") text = text.replace("Mairie d'", "M. ") text = text.replace("Saint", "St") return text def lcd_friendly(text): if text in MAPPING_TEXT: return MAPPING_TEXT[text] elif text.find("mn") != -1: return text.replace(" mn", "m").zfill(LEN_TIME) else: return "??m" class RegularTimings: def __init__(self, first_destination, first_timing, second_timing): self.first_destination = first_destination self.first_timing = first_timing self.second_timing = second_timing class TimingIssue: def __init__(self, message): self.message = message
len_time = 3 mapping_text = {"Train a l'approche": 'APR', 'Train a quai': 'QAI', 'Train retarde': 'RET', "A l'approche": 'APR', "A l'arret": 'ARR', 'Train arrete': 'TAR', '': 'NAV', 'NAV': 'NAV', 'UNC': 'UNC'} def get_timings(returned_page_data): first_destination = returned_page_data[0] first_time = returned_page_data[1] first_time_parsed = lcd_friendly(first_time) second_time = returned_page_data[3] second_time_parsed = lcd_friendly(second_time) if first_time == 'ARRET NON DESSERVI' and second_time == 'MANIFESTATION': return timing_issue('NDS - Manifestation') elif first_time == 'INTERROMPU' and second_time == 'MANIFESTATION': return timing_issue('INT - Manifestation') elif first_time == 'ARRET NON DESSERVI': return timing_issue('NDS') elif first_time == 'DEVIATION' and second_time == 'ARRET NON DESSERVI': return timing_issue('NDS - Deviation') elif first_time == 'SERVICE TERMINE' or first_time == 'TERMINE' or second_time == 'TERMINE': return timing_issue('Termine') elif first_time == 'SERVICE NON COMMENCE' or first_time == 'NON COMMENCE' or second_time == 'NON COMMENCE': return timing_issue('Non commence') elif first_time == 'INFO INDISPO ....' and second_time == 'INFO INDISPO ....': return timing_issue('Indisponible') if second_time == 'DERNIER PASSAGE': second_time_parsed = 'DER' elif second_time == 'PREMIER PASSAGE': second_time_parsed = 'PRE' first_destination = friendly_destination(first_destination) return regular_timings(first_destination, first_time_parsed, second_time_parsed) def friendly_destination(text): text = text.replace('Porte de', 'P.') text = text.replace("Porte d'", 'P. ') text = text.replace('Pont de', 'P.') text = text.replace('Pont du', 'P.') text = text.replace('Mairie de', 'M.') text = text.replace("Mairie d'", 'M. ') text = text.replace('Saint', 'St') return text def lcd_friendly(text): if text in MAPPING_TEXT: return MAPPING_TEXT[text] elif text.find('mn') != -1: return text.replace(' mn', 'm').zfill(LEN_TIME) else: return '??m' class Regulartimings: def __init__(self, first_destination, first_timing, second_timing): self.first_destination = first_destination self.first_timing = first_timing self.second_timing = second_timing class Timingissue: def __init__(self, message): self.message = message
#Add prod locations and copy to file_locations_prod.py LAST_ID = 'last_id.txt' LOCK_FILE = 'locked.txt' LOG_FILE = 'errors.txt'
last_id = 'last_id.txt' lock_file = 'locked.txt' log_file = 'errors.txt'
book = {"apple": 0.67, "banana": 1.49, "milk": 2.3 } book["avocado"] = 1.5 print(book) print(book["banana"]) print(book["avocado"])
book = {'apple': 0.67, 'banana': 1.49, 'milk': 2.3} book['avocado'] = 1.5 print(book) print(book['banana']) print(book['avocado'])
print ("program mayor menor") numero1= input ("INTRODUCE UN NUMERO:") numero1= int (numero1) numero2= input ("INTRODUCE UN NUMERO:") numero2= int (numero2) if numero1<numero2: print ("Usted Escribio los nmeros %d " %numero1, end="") print (" y %d" %numero2)
print('program mayor menor') numero1 = input('INTRODUCE UN NUMERO:') numero1 = int(numero1) numero2 = input('INTRODUCE UN NUMERO:') numero2 = int(numero2) if numero1 < numero2: print('Usted Escribio los nmeros %d ' % numero1, end='') print(' y %d' % numero2)
''' Problem statement: Create a function to find only the root value of x in any quadratic equation ax^2 + bx + c. The function will take three arguments: - a as the coefficient of x^2 - b as the coefficient of x - c as the constant term Problem Link: https://edabit.com/challenge/MDWFcHCTiJfHmwTFx ''' def quadratic_equation(a, b, c): numerator = -b + (((b**2)-(4*a*c))**(1/2)) denominator = 2*a return numerator/denominator
""" Problem statement: Create a function to find only the root value of x in any quadratic equation ax^2 + bx + c. The function will take three arguments: - a as the coefficient of x^2 - b as the coefficient of x - c as the constant term Problem Link: https://edabit.com/challenge/MDWFcHCTiJfHmwTFx """ def quadratic_equation(a, b, c): numerator = -b + (b ** 2 - 4 * a * c) ** (1 / 2) denominator = 2 * a return numerator / denominator