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def compare(s, m): """ Compute a scatter plot Args: s (ndarray): astrocat's true position over time m (ndarray): astrocat's measured position over time according to the sensor """ fig = plt.figure() ax = fig.add_subplot(111) sbounds = 1.1*max(max(np.abs(s)), max(np.abs(m))) ax.plot([-sbounds, sbounds], [-sbounds, sbounds], 'k') # plot line of equality ax.set_xlabel('state') ax.set_ylabel('measurement') ax.set_aspect('equal') # Complete a scatter plot: true state versus measurements plt.scatter(s, m, marker='.', color='red', s=100) # Set parameters np.random.seed(0) D = 0.9 # parameter in s(t) T = 50 # total time duration s0 = 5. # initial condition of s at time 0 sigma_p = 2 # amount of noise in the actuators of astrocat's propulsion unit sigma_measurements = 4 # amount of noise in astrocat's collar # Simulate Astrocat s = simulate(D, s0, sigma_p, T) # Take measurement from collar m = read_collar(s, sigma_measurements) # Visualize true vs measured states with plt.xkcd(): compare(s,m)
FLOAT_PRECISION = 3 DEFAULT_MIN_TIME_IN_HOUR = 0 DEFAULT_MAX_TIME_IN_HOUR = 230 MINUTES_IN_AN_HOUR = 60 FS = "Fs" FOIL = "Foil" FG = "Fg" PRES = "pressure" DISCHARGE = "discharge" WATER = "Fw" PAA = "Fpaa" DEFAULT_PENICILLIN_RECIPE_ORDER = [FS, FOIL, FG, PRES, DISCHARGE, WATER, PAA] FS_DEFAULT_PROFILE = [ {"time": 3, "value": 8}, {"time": 12, "value": 15}, {"time": 16, "value": 30}, {"time": 20, "value": 75}, {"time": 24, "value": 150}, {"time": 28, "value": 30}, {"time": 32, "value": 37}, {"time": 36, "value": 43}, {"time": 40, "value": 47}, {"time": 44, "value": 51}, {"time": 48, "value": 57}, {"time": 52, "value": 61}, {"time": 56, "value": 65}, {"time": 60, "value": 72}, {"time": 64, "value": 76}, {"time": 68, "value": 80}, {"time": 72, "value": 84}, {"time": 76, "value": 90}, {"time": 80, "value": 116}, {"time": 160, "value": 90}, {"time": 230, "value": 80} ] FOIL_DEFAULT_PROFILE = [ {"time": 4, "value": 22}, {"time": 16, "value": 30}, {"time": 56, "value": 35}, {"time": 60, "value": 34}, {"time": 64, "value": 33}, {"time": 68, "value": 32}, {"time": 72, "value": 31}, {"time": 76, "value": 30}, {"time": 80, "value": 29}, {"time": 230, "value": 23}, ] FG_DEFAULT_PROFILE = [ {"time": 8, "value": 30}, {"time": 20, "value": 42}, {"time": 40, "value": 55}, {"time": 90, "value": 60}, {"time": 200, "value": 75}, {"time": 230, "value": 65} ] PRESS_DEFAULT_PROFILE = [ {"time": 12.4, "value": 0.6}, {"time": 25, "value": 0.7}, {"time": 30, "value": 0.8}, {"time": 40, "value": 0.9}, {"time": 100, "value": 1.1}, {"time": 150, "value": 1}, {"time": 200, "value": 0.9}, {"time": 230, "value": 0.9}, ] DISCHARGE_DEFAULT_PROFILE = [ {"time": 100, "value": 0}, {"time": 102, "value": 4000}, {"time": 130, "value": 0}, {"time": 132, "value": 4000}, {"time": 150, "value": 0}, {"time": 152, "value": 4000}, {"time": 170, "value": 0}, {"time": 172, "value": 4000}, {"time": 190, "value": 0}, {"time": 192, "value": 4000}, {"time": 210, "value": 0}, {"time": 212, "value": 4000}, {"time": 230, "value": 0} ] WATER_DEFAULT_PROFILE = [ {"time": 50, "value": 0}, {"time": 75, "value": 500}, {"time": 150, "value": 100}, {"time": 160, "value": 0}, {"time": 170, "value": 400}, {"time": 200, "value": 150}, {"time": 230, "value": 250} ] PAA_DEFAULT_PROFILE = [ {"time": 5, "value": 5}, {"time": 40, "value": 0}, {"time": 200, "value": 10}, {"time": 230, "value": 4} ]
def singleton(class_): instances = {} def getinstance(*args, **kwargs): if class_ not in instances: instances[class_] = class_(*args, **kwargs) return instances[class_] return getinstance @singleton class MyClass(): def test(self): print(id(self)) class Singleton(object): _instance = None def __new__(class_, *args, **kwargs): if not isinstance(class_._instance, class_): class_._instance = object.__new__(class_, *args, **kwargs) return class_._instance class MyRealClass(Singleton): def test(self): print(id(self))
""" Drop unnecessary information """ def drop_dict(directory, dict_list): """drop record""" target_dict_list = dict_list target_dict_list = list(filter( lambda any_dict:(directory not in any_dict["name"]) or ("stat" in any_dict), target_dict_list)) target_dict_list = list(filter( lambda any_dict:(directory not in any_dict["name"]) or ("time" in any_dict), target_dict_list)) target_dict_list = list(filter( lambda any_dict:any_dict.pop("stat") if any_dict["name"] == directory else any_dict, target_dict_list)) return target_dict_list def drop_dir_info(target_dict_list): """drop process""" min_layer = min(map( lambda any_dict:any_dict["name"].count("/"), target_dict_list)) min_dict_list = list(filter( lambda any_dict:any_dict["name"].count("/") == min_layer, target_dict_list)) min_dict = min_dict_list[0] min_dir = min_dict["name"] drop_list = min_dir.split("/") drop_dir_list = drop_list[:-2] drop_dir_list = [] if drop_dir_list == [] else drop_dir_list + [""] drop_dir_text = ",".join(drop_dir_list) drop_dir_text = drop_dir_text.replace(",", "/") temp_dict_list = [] for any_dict in target_dict_list: any_dict["name"] = any_dict["name"].replace(drop_dir_text, "") temp_dict_list.append(any_dict) target_dict_list = temp_dict_list return target_dict_list
class BaseTextOpinionsLinkageInstancesProvider(object): def iter_instances(self, text_opinion_linkage): raise NotImplementedError() @staticmethod def provide_label(text_opinion_linkage): return text_opinion_linkage.First.Sentiment
class SkyblockProfileMember: def __init__(self, member_data: dict) -> None: """ Parameters ---------- data: dict The JSON data received from the Hypixel API. """ self.COIN_PURSE = member_data["coin_purse"] self.DEATH_COUNT = member_data["death_count"] self.FAIRY_SOULS_COLLECTED = member_data.get("fairy_souls_collected") self.FISHING_TREASURE_COUNT = member_data.get("fishing_treasure_caught") self.STATS = member_data["stats"] self.OBJECTIVES = member_data["objectives"] self.CRAFTED_GENERATORS = member_data.get("crafted_generators") self.VISITED_ZONES = member_data.get("visited_zones") self.ACHIEVEMENT_SPAWNED_ISLAND_TYPES = member_data.get( "achievement_spawned_island_types" ) self.SLAYER_QUEST = member_data.get("slayer_quest") self.SLAYER_BOSSES = member_data.get("slayer_bosses") self.PETS = member_data["pets"] self.GRIFFIN = member_data["griffin"] self.UNLOCKED_COLLECTION_TIERS = member_data.get("unlocked_coll_tiers") self.SKILLS = { "alchemy": member_data.get("experience_skill_alchemy"), "farming": member_data.get("experience_skill_farming"), "taming": member_data.get("experience_skill_taming"), "enchanting": member_data.get("experience_skill_enchanting"), "fishing": member_data.get("experience_skill_fishing"), "foraging": member_data.get("experience_skill_foraging"), "carpentry": member_data.get("experience_skill_carpentry"), "runecrafting": member_data.get("experience_skill_runecrafting"), "combat": member_data.get("experience_skill_combat"), "mining": member_data.get("experience_skill_mining"), } self.COLLECTION = member_data.get("collection")
# AC 05 # Nathalia Escarlate - RA 1800179 # Tiberio Cruz - Ra 1800110 #Crie uma função que receba como parâmetro um número natural N e devolva o termial deste valor. #Obs: crie 5 testes automatizados para a função (casos errados e casos corretos) def termial(n): n_termial = 0 for i in range(1,n+1): n_termial += i return(n_termial) def test_termial1(): assert termial(7) == 28 def test_termial2(): assert termial(5) == 15 def test_termial3(): assert termial(88) == 44 def test_termial4(): assert termial(32) == 80 def test_termial5(): assert termial(2) == 2
""" 常见的颜色名称 """ color_dict={ "almond":(239,222,205), "amaranth":(229,43,80), "amazon":(59,122,87), "amber":(255,191,0), "sae":(255,126,0), "amethyst":(153,102,204), "ao":(0,128,0), "apricot":(251,206,177), "aqua":(0,255,255), "aquamarine":(127,255,212), "arsenic":(59,68,75), "artichoke":(143,151,121), "asparagus":(135,169,107), "auburn":(165,42,42), "aureolin":(253,238,0), "aurometalsaurus":(110,127,128), "avocado":(86,130,3), "azure":(0,127,255), "bazaar":(152,119,123), "beaver":(159,129,112), "beige":(245,245,220), "bisque":(255,228,196), "bistre":(61,43,31), "bittersweet":(254,111,94), "black":(0,0,0), "blond":(250,240,190), "blue":(0,0,255), "blueberry":(79,134,247), "bluebonnet":(28,28,240), "blush":(222,93,131), "bole":(121,68,59), "bone":(227,218,201), "boysenberry":(135,50,96), "brass":(181,166,66), "bronze":(205,127,50), "brown":(165,42,42), "bubbles":(231,254,255), "buff":(240,220,130), "burgundy":(128,0,32), "burlywood":(222,184,135), "byzantine":(189,51,164), "byzantium":(112,41,99), "cadet":(83,104,114), "camel":(193,154,107), "capri":(0,191,255), "cardinal":(196,30,58), "carmine":(150,0,24), "carnelian":(179,27,27), "catawba":(112,54,66), "ceil":(146,161,207), "celadon":(172,225,175), "celeste":(178,255,255), "cerise":(222,49,99), "cerulean":(0,123,167), "chamoisee":(160,120,90), "champagne":(247,231,206), "charcoal":(54,69,79), "chartreuse":(127,255,0), "cherry":(222,49,99), "chestnut":(149,69,53), "chocolate":(210,105,30), "cinereous":(152,129,123), "cinnabar":(227,66,52), "cinnamon":(210,105,30), "citrine":(228,208,10), "citron":(159,169,31), "claret":(127,23,52), "coal":(124,185,232), "cobalt":(0,71,171), "coconut":(150,90,62), "coffee":(111,78,55), "copper":(184,115,51), "coquelicot":(255,56,0), "coral":(255,127,80), "cordovan":(137,63,69), "corn":(251,236,93), "cornsilk":(255,248,220), "cream":(255,253,208), "crimson":(220,20,60), "cyan":(0,255,255), "daffodil":(255,255,49), "dandelion":(240,225,48), "deer":(186,135,89), "denim":(21,96,189), "desert":(193,154,107), "desire":(234,60,83), "diamond":(185,242,255), "dirt":(155,118,83), "drab":(150,113,23), "ebony":(85,93,80), "ecru":(194,178,128), "eggplant":(97,64,81), "eggshell":(240,234,214), "emerald":(80,200,120), "eminence":(108,48,130), "eucalyptus":(68,215,168), "fallow":(193,154,107), "fandango":(181,51,137), "fawn":(229,170,112), "feldgrau":(77,93,83), "feldspar":(253,213,177), "firebrick":(178,34,34), "flame":(226,88,34), "flattery":(107,68,35), "flavescent":(247,233,142), "flax":(238,220,130), "flirt":(162,0,109), "folly":(255,0,79), "fuchsia":(255,0,255), "fulvous":(228,132,0), "gainsboro":(220,220,220), "gamboge":(228,155,15), "ginger":(176,101,0), "glaucous":(96,130,182), "glitter":(230,232,250), "gold":(255,215,0), "goldenrod":(218,165,32), "grape":(111,45,168), "gray":(128,128,128), "green":(0,255,0), "grullo":(169,154,134), "harlequin":(63,255,0), "heliotrope":(223,115,255), "honeydew":(240,255,240), "iceberg":(113,166,210), "icterine":(252,247,94), "imperial":(96,47,107), "inchworm":(178,236,93), "independence":(76,81,109), "indigo":(75,0,130), "iris":(90,79,207), "irresistible":(179,68,108), "isabelline":(244,240,236), "ivory":(255,255,240), "jade":(0,168,107), "jasmine":(248,222,126), "jasper":(215,59,62), "jet":(52,52,52), "jonquil":(244,202,22), "keppel":(58,176,158), "khaki":(195,176,145), "kobe":(136,45,23), "kobi":(231,159,196), "lava":(207,16,32), "lavender":(230,230,250), "lemon":(255,247,0), "liberty":(84,90,167), "licorice":(26,17,16), "lilac":(200,162,200), "lime":(191,255,0), "limerick":(157,194,9), "linen":(250,240,230), "lion":(193,154,107), "liver":(103,76,71), "livid":(102,153,204), "lumber":(255,228,205), "lust":(230,32,32), "magenta":(255,0,255), "magnolia":(248,244,255), "mahogany":(192,64,0), "maize":(251,236,93), "malachite":(11,218,81), "manatee":(151,154,170), "mantis":(116,195,101), "maroon":(128,0,0), "mauve":(224,176,255), "mauvelous":(239,152,170), "melon":(253,188,180), "mindaro":(227,249,136), "mint":(62,180,137), "moccasin":(250,235,215), "mulberry":(197,75,140), "mustard":(255,219,88), "nyanza":(233,255,219), "ochre":(204,119,34), "olive":(128,128,0), "olivine":(154,185,115), "onyx":(53,56,57), "orange":(255,165,0), "orchid":(218,112,214), "patriarch":(128,0,128), "peach":(255,229,180), "pear":(209,226,49), "pearl":(234,224,200), "peridot":(230,226,0), "periwinkle":(204,204,255), "persimmon":(236,88,0), "peru":(205,133,63), "phlox":(223,0,255), "pink":(255,192,203), "pistachio":(147,197,114), "platinum":(229,228,226), "plum":(221,160,221), "popstar":(190,79,98), "prune":(112,28,28), "puce":(204,136,153), "pumpkin":(255,117,24), "purple":(128,0,128), "purpureus":(154,78,174), "quartz":(81,72,79), "rackley":(93,138,168), "rajah":(251,171,96), "raspberry":(227,11,93), "razzmatazz":(227,37,107), "red":(255,0,0), "redwood":(164,90,82), "regalia":(82,45,128), "rhythm":(119,118,150), "rose":(255,0,127), "rosewood":(101,0,11), "ruber":(206,70,118), "ruby":(224,17,95), "ruddy":(255,0,40), "rufous":(168,28,7), "russet":(128,70,27), "rust":(183,65,14), "saffron":(244,196,48), "sage":(188,184,138), "salmon":(250,128,114), "sand":(194,178,128), "sandstorm":(236,213,64), "sangria":(146,0,10), "sapphire":(15,82,186), "scarlet":(255,36,0), "seashell":(255,245,238), "sepia":(112,66,20), "shadow":(138,121,93), "shampoo":(255,207,241), "sienna":(136,45,23), "silver":(192,192,192), "sinopia":(203,65,11), "skobeloff":(0,116,116), "smalt":(0,51,153), "smitten":(200,65,134), "smoke":(115,130,118), "snow":(255,250,250), "soap":(206,200,239), "stizza":(153,0,0), "stormcloud":(79,102,106), "straw":(228,217,111), "strawberry":(252,90,141), "sunglow":(255,204,51), "sunray":(227,171,87), "sunset":(250,214,165), "tan":(210,180,140), "tangelo":(249,77,0), "tangerine":(242,133,0), "taupe":(72,60,50), "teal":(0,128,128), "telemagenta":(207,52,118), "thistle":(216,191,216), "timberwolf":(219,215,210), "tomato":(255,99,71), "toolbox":(116,108,192), "topaz":(255,200,124), "tulip":(255,135,141), "tumbleweed":(222,170,136), "turquoise":(64,224,208), "tuscan":(250,214,165), "tuscany":(192,153,153), "ube":(136,120,195), "ultramarine":(18,10,143), "umber":(99,81,71), "urobilin":(225,173,33), "vanilla":(243,229,171), "verdigris":(67,179,174), "vermilion":(227,66,52), "veronica":(160,32,240), "violet":(143,0,255), "viridian":(64,130,109), "waterspout":(164,244,249), "wenge":(100,84,82), "wheat":(245,222,179), "white":(255,255,255), "wine":(114,47,55), "wisteria":(201,160,220), "xanadu":(115,134,120), "yellow":(255,255,0), "zaffre":(0,20,168), "light_blue":(173,216,230), "light_brown":(181,101,29), "light_cyan":(224,255,255), "light_gray":(211,211,211), "light_green":(144,238,144), "light_pink":(255,182,193), "light_yellow":(255,255,224), }
def pattern_occurence(pattern, dna): list_occurences=[] k = len(pattern) for i in range(len(dna)-k+1): if(dna[i:i+k]==pattern): list_occurences.append(i) return list_occurences def main(): with open('datasets/rosalind_ba1d.txt') as input_file: pattern, dna = input_file.read().strip().split('\n') list_occurences = pattern_occurence(pattern, dna) print(' '.join(list(map(str, list_occurences)))) with open('solutions/rosalind_ba1d.txt', 'w') as output_file: output_file.write(' '.join(list(map(str, list_occurences)))) if(__name__=='__main__'): main()
# Licensed to the .NET Foundation under one or more agreements. # The .NET Foundation licenses this file to you under the Apache 2.0 License. # See the LICENSE file in the project root for more information. # generated by generate_indicestest.py def test_indices(self): def t(i, j, k, l, r): rr = slice(i, j, k).indices(l) self.assertEqual(rr, r, "slice({i}, {j}, {k}).indices({l}) != {r}: {rr}".format(i=i, j=j, k=k, l=l, r=r, rr=rr)) t(None, None, None, 0, (0, 0, 1)) t(None, None, None, 1, (0, 1, 1)) t(None, None, None, 5, (0, 5, 1)) t(None, None, None, 10, (0, 10, 1)) t(None, None, None, 100, (0, 100, 1)) t(None, None, None, 2147483647, (0, 2147483647, 1)) t(None, None, None, 9223372036854775808, (0, 9223372036854775808, 1)) t(None, None, -5, 0, (-1, -1, -5)) t(None, None, -5, 1, (0, -1, -5)) t(None, None, -5, 5, (4, -1, -5)) t(None, None, -5, 10, (9, -1, -5)) t(None, None, -5, 100, (99, -1, -5)) t(None, None, -5, 2147483647, (2147483646, -1, -5)) t(None, None, -5, 9223372036854775808, (9223372036854775807, -1, -5)) t(None, None, -3, 0, (-1, -1, -3)) t(None, None, -3, 1, (0, -1, -3)) t(None, None, -3, 5, (4, -1, -3)) t(None, None, -3, 10, (9, -1, -3)) t(None, None, -3, 100, (99, -1, -3)) t(None, None, -3, 2147483647, (2147483646, -1, -3)) t(None, None, -3, 9223372036854775808, (9223372036854775807, -1, -3)) t(None, None, -1, 0, (-1, -1, -1)) t(None, None, -1, 1, (0, -1, -1)) t(None, None, -1, 5, (4, -1, -1)) t(None, None, -1, 10, (9, -1, -1)) t(None, None, -1, 100, (99, -1, -1)) t(None, None, -1, 2147483647, (2147483646, -1, -1)) t(None, None, -1, 9223372036854775808, (9223372036854775807, -1, -1)) t(None, None, 1, 0, (0, 0, 1)) t(None, None, 1, 1, (0, 1, 1)) t(None, None, 1, 5, (0, 5, 1)) t(None, None, 1, 10, (0, 10, 1)) t(None, None, 1, 100, (0, 100, 1)) t(None, None, 1, 2147483647, (0, 2147483647, 1)) t(None, None, 1, 9223372036854775808, (0, 9223372036854775808, 1)) t(None, None, 5, 0, (0, 0, 5)) t(None, None, 5, 1, (0, 1, 5)) t(None, None, 5, 5, (0, 5, 5)) t(None, None, 5, 10, (0, 10, 5)) t(None, None, 5, 100, (0, 100, 5)) t(None, None, 5, 2147483647, (0, 2147483647, 5)) t(None, None, 5, 9223372036854775808, (0, 9223372036854775808, 5)) t(None, None, 20, 0, (0, 0, 20)) t(None, None, 20, 1, (0, 1, 20)) t(None, None, 20, 5, (0, 5, 20)) t(None, None, 20, 10, (0, 10, 20)) t(None, None, 20, 100, (0, 100, 20)) t(None, None, 20, 2147483647, (0, 2147483647, 20)) t(None, None, 20, 9223372036854775808, (0, 9223372036854775808, 20)) t(None, None, 2147483647, 0, (0, 0, 2147483647)) t(None, None, 2147483647, 1, (0, 1, 2147483647)) t(None, None, 2147483647, 5, (0, 5, 2147483647)) t(None, None, 2147483647, 10, (0, 10, 2147483647)) t(None, None, 2147483647, 100, (0, 100, 2147483647)) t(None, None, 2147483647, 2147483647, (0, 2147483647, 2147483647)) t(None, None, 2147483647, 9223372036854775808, (0, 9223372036854775808, 2147483647)) t(None, None, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(None, None, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(None, None, 9223372036854775808, 5, (0, 5, 9223372036854775808)) t(None, None, 9223372036854775808, 10, (0, 10, 9223372036854775808)) t(None, None, 9223372036854775808, 100, (0, 100, 9223372036854775808)) t(None, None, 9223372036854775808, 2147483647, (0, 2147483647, 9223372036854775808)) t(None, None, 9223372036854775808, 9223372036854775808, (0, 9223372036854775808, 9223372036854775808)) t(None, -7, None, 0, (0, 0, 1)) t(None, -7, None, 1, (0, 0, 1)) t(None, -7, None, 5, (0, 0, 1)) t(None, -7, None, 10, (0, 3, 1)) t(None, -7, None, 100, (0, 93, 1)) t(None, -7, None, 2147483647, (0, 2147483640, 1)) t(None, -7, None, 9223372036854775808, (0, 9223372036854775801, 1)) t(None, -7, -5, 0, (-1, -1, -5)) t(None, -7, -5, 1, (0, -1, -5)) t(None, -7, -5, 5, (4, -1, -5)) t(None, -7, -5, 10, (9, 3, -5)) t(None, -7, -5, 100, (99, 93, -5)) t(None, -7, -5, 2147483647, (2147483646, 2147483640, -5)) t(None, -7, -5, 9223372036854775808, (9223372036854775807, 9223372036854775801, 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-1)) t(-7, None, -1, 10, (3, -1, -1)) t(-7, None, -1, 100, (93, -1, -1)) t(-7, None, -1, 2147483647, (2147483640, -1, -1)) t(-7, None, -1, 9223372036854775808, (9223372036854775801, -1, -1)) t(-7, None, 1, 0, (0, 0, 1)) t(-7, None, 1, 1, (0, 1, 1)) t(-7, None, 1, 5, (0, 5, 1)) t(-7, None, 1, 10, (3, 10, 1)) t(-7, None, 1, 100, (93, 100, 1)) t(-7, None, 1, 2147483647, (2147483640, 2147483647, 1)) t(-7, None, 1, 9223372036854775808, (9223372036854775801, 9223372036854775808, 1)) t(-7, None, 5, 0, (0, 0, 5)) t(-7, None, 5, 1, (0, 1, 5)) t(-7, None, 5, 5, (0, 5, 5)) t(-7, None, 5, 10, (3, 10, 5)) t(-7, None, 5, 100, (93, 100, 5)) t(-7, None, 5, 2147483647, (2147483640, 2147483647, 5)) t(-7, None, 5, 9223372036854775808, (9223372036854775801, 9223372036854775808, 5)) t(-7, None, 20, 0, (0, 0, 20)) t(-7, None, 20, 1, (0, 1, 20)) t(-7, None, 20, 5, (0, 5, 20)) t(-7, None, 20, 10, (3, 10, 20)) t(-7, None, 20, 100, (93, 100, 20)) t(-7, None, 20, 2147483647, (2147483640, 2147483647, 20)) t(-7, None, 20, 9223372036854775808, (9223372036854775801, 9223372036854775808, 20)) t(-7, None, 2147483647, 0, (0, 0, 2147483647)) t(-7, None, 2147483647, 1, (0, 1, 2147483647)) t(-7, None, 2147483647, 5, (0, 5, 2147483647)) t(-7, None, 2147483647, 10, (3, 10, 2147483647)) t(-7, None, 2147483647, 100, (93, 100, 2147483647)) t(-7, None, 2147483647, 2147483647, (2147483640, 2147483647, 2147483647)) t(-7, None, 2147483647, 9223372036854775808, (9223372036854775801, 9223372036854775808, 2147483647)) t(-7, None, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-7, None, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-7, None, 9223372036854775808, 5, (0, 5, 9223372036854775808)) t(-7, None, 9223372036854775808, 10, (3, 10, 9223372036854775808)) t(-7, None, 9223372036854775808, 100, (93, 100, 9223372036854775808)) t(-7, None, 9223372036854775808, 2147483647, (2147483640, 2147483647, 9223372036854775808)) t(-7, None, 9223372036854775808, 9223372036854775808, (9223372036854775801, 9223372036854775808, 9223372036854775808)) t(-7, -7, None, 0, (0, 0, 1)) t(-7, -7, None, 1, (0, 0, 1)) t(-7, -7, None, 5, (0, 0, 1)) t(-7, -7, None, 10, (3, 3, 1)) t(-7, -7, None, 100, (93, 93, 1)) t(-7, -7, None, 2147483647, (2147483640, 2147483640, 1)) t(-7, -7, None, 9223372036854775808, (9223372036854775801, 9223372036854775801, 1)) t(-7, -7, -5, 0, (-1, -1, -5)) t(-7, -7, -5, 1, (-1, -1, -5)) t(-7, -7, -5, 5, (-1, -1, -5)) t(-7, -7, -5, 10, (3, 3, -5)) t(-7, -7, -5, 100, (93, 93, -5)) t(-7, -7, -5, 2147483647, (2147483640, 2147483640, -5)) t(-7, -7, -5, 9223372036854775808, (9223372036854775801, 9223372036854775801, -5)) t(-7, -7, -3, 0, (-1, -1, -3)) t(-7, -7, -3, 1, (-1, -1, -3)) t(-7, -7, -3, 5, (-1, -1, -3)) t(-7, -7, -3, 10, (3, 3, -3)) t(-7, -7, -3, 100, (93, 93, -3)) t(-7, -7, -3, 2147483647, (2147483640, 2147483640, -3)) t(-7, -7, -3, 9223372036854775808, (9223372036854775801, 9223372036854775801, -3)) t(-7, -7, -1, 0, (-1, -1, -1)) t(-7, -7, -1, 1, (-1, -1, -1)) t(-7, -7, -1, 5, (-1, -1, -1)) t(-7, -7, -1, 10, (3, 3, -1)) t(-7, -7, -1, 100, (93, 93, -1)) t(-7, -7, -1, 2147483647, (2147483640, 2147483640, -1)) t(-7, -7, -1, 9223372036854775808, (9223372036854775801, 9223372036854775801, -1)) t(-7, -7, 1, 0, (0, 0, 1)) t(-7, -7, 1, 1, (0, 0, 1)) t(-7, -7, 1, 5, (0, 0, 1)) t(-7, -7, 1, 10, (3, 3, 1)) t(-7, -7, 1, 100, (93, 93, 1)) t(-7, -7, 1, 2147483647, (2147483640, 2147483640, 1)) t(-7, -7, 1, 9223372036854775808, (9223372036854775801, 9223372036854775801, 1)) t(-7, -7, 5, 0, (0, 0, 5)) t(-7, -7, 5, 1, (0, 0, 5)) t(-7, -7, 5, 5, (0, 0, 5)) t(-7, -7, 5, 10, (3, 3, 5)) t(-7, -7, 5, 100, (93, 93, 5)) t(-7, -7, 5, 2147483647, (2147483640, 2147483640, 5)) t(-7, -7, 5, 9223372036854775808, (9223372036854775801, 9223372036854775801, 5)) t(-7, -7, 20, 0, (0, 0, 20)) t(-7, -7, 20, 1, (0, 0, 20)) t(-7, -7, 20, 5, (0, 0, 20)) t(-7, -7, 20, 10, (3, 3, 20)) t(-7, -7, 20, 100, (93, 93, 20)) t(-7, -7, 20, 2147483647, (2147483640, 2147483640, 20)) t(-7, -7, 20, 9223372036854775808, (9223372036854775801, 9223372036854775801, 20)) t(-7, -7, 2147483647, 0, (0, 0, 2147483647)) t(-7, -7, 2147483647, 1, (0, 0, 2147483647)) t(-7, -7, 2147483647, 5, (0, 0, 2147483647)) t(-7, -7, 2147483647, 10, (3, 3, 2147483647)) t(-7, -7, 2147483647, 100, (93, 93, 2147483647)) t(-7, -7, 2147483647, 2147483647, (2147483640, 2147483640, 2147483647)) t(-7, -7, 2147483647, 9223372036854775808, (9223372036854775801, 9223372036854775801, 2147483647)) t(-7, -7, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-7, -7, 9223372036854775808, 1, (0, 0, 9223372036854775808)) t(-7, -7, 9223372036854775808, 5, (0, 0, 9223372036854775808)) t(-7, -7, 9223372036854775808, 10, (3, 3, 9223372036854775808)) t(-7, -7, 9223372036854775808, 100, (93, 93, 9223372036854775808)) t(-7, -7, 9223372036854775808, 2147483647, (2147483640, 2147483640, 9223372036854775808)) t(-7, -7, 9223372036854775808, 9223372036854775808, (9223372036854775801, 9223372036854775801, 9223372036854775808)) t(-7, -2, None, 0, (0, 0, 1)) t(-7, -2, None, 1, (0, 0, 1)) t(-7, -2, None, 5, (0, 3, 1)) t(-7, -2, None, 10, (3, 8, 1)) t(-7, -2, None, 100, (93, 98, 1)) t(-7, -2, None, 2147483647, (2147483640, 2147483645, 1)) t(-7, -2, None, 9223372036854775808, (9223372036854775801, 9223372036854775806, 1)) t(-7, -2, -5, 0, (-1, -1, -5)) t(-7, -2, -5, 1, (-1, -1, -5)) t(-7, -2, -5, 5, (-1, 3, -5)) t(-7, -2, -5, 10, (3, 8, -5)) t(-7, -2, -5, 100, (93, 98, -5)) t(-7, -2, -5, 2147483647, (2147483640, 2147483645, -5)) t(-7, -2, -5, 9223372036854775808, (9223372036854775801, 9223372036854775806, -5)) t(-7, -2, -3, 0, (-1, -1, -3)) t(-7, -2, -3, 1, (-1, -1, -3)) t(-7, -2, -3, 5, (-1, 3, -3)) t(-7, -2, -3, 10, (3, 8, -3)) t(-7, -2, -3, 100, (93, 98, -3)) t(-7, -2, -3, 2147483647, (2147483640, 2147483645, -3)) t(-7, -2, -3, 9223372036854775808, (9223372036854775801, 9223372036854775806, -3)) t(-7, -2, -1, 0, (-1, -1, -1)) t(-7, -2, -1, 1, (-1, -1, -1)) t(-7, -2, -1, 5, (-1, 3, -1)) t(-7, -2, -1, 10, (3, 8, -1)) t(-7, -2, -1, 100, (93, 98, -1)) t(-7, -2, -1, 2147483647, (2147483640, 2147483645, -1)) t(-7, -2, -1, 9223372036854775808, (9223372036854775801, 9223372036854775806, -1)) t(-7, -2, 1, 0, (0, 0, 1)) t(-7, -2, 1, 1, (0, 0, 1)) t(-7, -2, 1, 5, (0, 3, 1)) t(-7, -2, 1, 10, (3, 8, 1)) t(-7, -2, 1, 100, (93, 98, 1)) t(-7, -2, 1, 2147483647, (2147483640, 2147483645, 1)) t(-7, -2, 1, 9223372036854775808, (9223372036854775801, 9223372036854775806, 1)) t(-7, -2, 5, 0, (0, 0, 5)) t(-7, -2, 5, 1, (0, 0, 5)) t(-7, -2, 5, 5, (0, 3, 5)) t(-7, -2, 5, 10, (3, 8, 5)) t(-7, -2, 5, 100, (93, 98, 5)) t(-7, -2, 5, 2147483647, (2147483640, 2147483645, 5)) t(-7, -2, 5, 9223372036854775808, (9223372036854775801, 9223372036854775806, 5)) t(-7, -2, 20, 0, (0, 0, 20)) t(-7, -2, 20, 1, (0, 0, 20)) t(-7, -2, 20, 5, (0, 3, 20)) t(-7, -2, 20, 10, (3, 8, 20)) t(-7, -2, 20, 100, (93, 98, 20)) t(-7, -2, 20, 2147483647, (2147483640, 2147483645, 20)) t(-7, -2, 20, 9223372036854775808, (9223372036854775801, 9223372036854775806, 20)) t(-7, -2, 2147483647, 0, (0, 0, 2147483647)) t(-7, -2, 2147483647, 1, (0, 0, 2147483647)) t(-7, -2, 2147483647, 5, (0, 3, 2147483647)) t(-7, -2, 2147483647, 10, (3, 8, 2147483647)) t(-7, -2, 2147483647, 100, (93, 98, 2147483647)) t(-7, -2, 2147483647, 2147483647, (2147483640, 2147483645, 2147483647)) t(-7, -2, 2147483647, 9223372036854775808, (9223372036854775801, 9223372036854775806, 2147483647)) t(-7, -2, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-7, -2, 9223372036854775808, 1, (0, 0, 9223372036854775808)) t(-7, -2, 9223372036854775808, 5, (0, 3, 9223372036854775808)) t(-7, -2, 9223372036854775808, 10, (3, 8, 9223372036854775808)) t(-7, -2, 9223372036854775808, 100, (93, 98, 9223372036854775808)) t(-7, -2, 9223372036854775808, 2147483647, (2147483640, 2147483645, 9223372036854775808)) t(-7, -2, 9223372036854775808, 9223372036854775808, (9223372036854775801, 9223372036854775806, 9223372036854775808)) t(-7, 0, None, 0, (0, 0, 1)) t(-7, 0, None, 1, (0, 0, 1)) t(-7, 0, None, 5, (0, 0, 1)) t(-7, 0, None, 10, (3, 0, 1)) t(-7, 0, None, 100, (93, 0, 1)) t(-7, 0, None, 2147483647, (2147483640, 0, 1)) t(-7, 0, None, 9223372036854775808, (9223372036854775801, 0, 1)) t(-7, 0, -5, 0, (-1, -1, -5)) t(-7, 0, -5, 1, (-1, 0, -5)) t(-7, 0, -5, 5, (-1, 0, -5)) t(-7, 0, -5, 10, (3, 0, -5)) t(-7, 0, -5, 100, (93, 0, -5)) t(-7, 0, -5, 2147483647, (2147483640, 0, -5)) t(-7, 0, -5, 9223372036854775808, (9223372036854775801, 0, -5)) t(-7, 0, -3, 0, (-1, -1, -3)) t(-7, 0, -3, 1, (-1, 0, -3)) t(-7, 0, -3, 5, (-1, 0, -3)) t(-7, 0, -3, 10, (3, 0, -3)) t(-7, 0, -3, 100, (93, 0, -3)) t(-7, 0, -3, 2147483647, (2147483640, 0, -3)) t(-7, 0, -3, 9223372036854775808, (9223372036854775801, 0, -3)) t(-7, 0, -1, 0, (-1, -1, -1)) t(-7, 0, -1, 1, (-1, 0, -1)) t(-7, 0, -1, 5, (-1, 0, -1)) t(-7, 0, -1, 10, (3, 0, -1)) t(-7, 0, -1, 100, (93, 0, -1)) t(-7, 0, -1, 2147483647, (2147483640, 0, -1)) t(-7, 0, -1, 9223372036854775808, (9223372036854775801, 0, -1)) t(-7, 0, 1, 0, (0, 0, 1)) t(-7, 0, 1, 1, (0, 0, 1)) t(-7, 0, 1, 5, (0, 0, 1)) t(-7, 0, 1, 10, (3, 0, 1)) t(-7, 0, 1, 100, (93, 0, 1)) t(-7, 0, 1, 2147483647, (2147483640, 0, 1)) t(-7, 0, 1, 9223372036854775808, (9223372036854775801, 0, 1)) t(-7, 0, 5, 0, (0, 0, 5)) t(-7, 0, 5, 1, (0, 0, 5)) t(-7, 0, 5, 5, (0, 0, 5)) t(-7, 0, 5, 10, (3, 0, 5)) t(-7, 0, 5, 100, (93, 0, 5)) t(-7, 0, 5, 2147483647, (2147483640, 0, 5)) t(-7, 0, 5, 9223372036854775808, (9223372036854775801, 0, 5)) t(-7, 0, 20, 0, (0, 0, 20)) t(-7, 0, 20, 1, (0, 0, 20)) t(-7, 0, 20, 5, (0, 0, 20)) t(-7, 0, 20, 10, (3, 0, 20)) t(-7, 0, 20, 100, (93, 0, 20)) t(-7, 0, 20, 2147483647, (2147483640, 0, 20)) t(-7, 0, 20, 9223372036854775808, (9223372036854775801, 0, 20)) t(-7, 0, 2147483647, 0, (0, 0, 2147483647)) t(-7, 0, 2147483647, 1, (0, 0, 2147483647)) t(-7, 0, 2147483647, 5, (0, 0, 2147483647)) t(-7, 0, 2147483647, 10, (3, 0, 2147483647)) t(-7, 0, 2147483647, 100, (93, 0, 2147483647)) t(-7, 0, 2147483647, 2147483647, (2147483640, 0, 2147483647)) t(-7, 0, 2147483647, 9223372036854775808, (9223372036854775801, 0, 2147483647)) t(-7, 0, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-7, 0, 9223372036854775808, 1, (0, 0, 9223372036854775808)) t(-7, 0, 9223372036854775808, 5, (0, 0, 9223372036854775808)) t(-7, 0, 9223372036854775808, 10, (3, 0, 9223372036854775808)) t(-7, 0, 9223372036854775808, 100, (93, 0, 9223372036854775808)) t(-7, 0, 9223372036854775808, 2147483647, (2147483640, 0, 9223372036854775808)) t(-7, 0, 9223372036854775808, 9223372036854775808, (9223372036854775801, 0, 9223372036854775808)) t(-7, 1, None, 0, (0, 0, 1)) t(-7, 1, None, 1, (0, 1, 1)) t(-7, 1, None, 5, (0, 1, 1)) t(-7, 1, None, 10, (3, 1, 1)) t(-7, 1, None, 100, (93, 1, 1)) t(-7, 1, None, 2147483647, (2147483640, 1, 1)) t(-7, 1, None, 9223372036854775808, (9223372036854775801, 1, 1)) t(-7, 1, -5, 0, (-1, -1, -5)) t(-7, 1, -5, 1, (-1, 0, -5)) t(-7, 1, -5, 5, (-1, 1, -5)) t(-7, 1, -5, 10, (3, 1, -5)) t(-7, 1, -5, 100, (93, 1, -5)) t(-7, 1, -5, 2147483647, (2147483640, 1, -5)) t(-7, 1, -5, 9223372036854775808, (9223372036854775801, 1, -5)) t(-7, 1, -3, 0, (-1, -1, -3)) t(-7, 1, -3, 1, (-1, 0, -3)) t(-7, 1, -3, 5, (-1, 1, -3)) t(-7, 1, -3, 10, (3, 1, -3)) t(-7, 1, -3, 100, (93, 1, -3)) t(-7, 1, -3, 2147483647, (2147483640, 1, -3)) t(-7, 1, -3, 9223372036854775808, (9223372036854775801, 1, -3)) t(-7, 1, -1, 0, (-1, -1, -1)) t(-7, 1, -1, 1, (-1, 0, -1)) t(-7, 1, -1, 5, (-1, 1, -1)) t(-7, 1, -1, 10, (3, 1, -1)) t(-7, 1, -1, 100, (93, 1, -1)) t(-7, 1, -1, 2147483647, (2147483640, 1, -1)) t(-7, 1, -1, 9223372036854775808, (9223372036854775801, 1, -1)) t(-7, 1, 1, 0, (0, 0, 1)) t(-7, 1, 1, 1, (0, 1, 1)) t(-7, 1, 1, 5, (0, 1, 1)) t(-7, 1, 1, 10, (3, 1, 1)) t(-7, 1, 1, 100, (93, 1, 1)) t(-7, 1, 1, 2147483647, (2147483640, 1, 1)) t(-7, 1, 1, 9223372036854775808, (9223372036854775801, 1, 1)) t(-7, 1, 5, 0, (0, 0, 5)) t(-7, 1, 5, 1, (0, 1, 5)) t(-7, 1, 5, 5, (0, 1, 5)) t(-7, 1, 5, 10, (3, 1, 5)) t(-7, 1, 5, 100, (93, 1, 5)) t(-7, 1, 5, 2147483647, (2147483640, 1, 5)) t(-7, 1, 5, 9223372036854775808, (9223372036854775801, 1, 5)) t(-7, 1, 20, 0, (0, 0, 20)) t(-7, 1, 20, 1, (0, 1, 20)) t(-7, 1, 20, 5, (0, 1, 20)) t(-7, 1, 20, 10, (3, 1, 20)) t(-7, 1, 20, 100, (93, 1, 20)) t(-7, 1, 20, 2147483647, (2147483640, 1, 20)) t(-7, 1, 20, 9223372036854775808, (9223372036854775801, 1, 20)) t(-7, 1, 2147483647, 0, (0, 0, 2147483647)) t(-7, 1, 2147483647, 1, (0, 1, 2147483647)) t(-7, 1, 2147483647, 5, (0, 1, 2147483647)) t(-7, 1, 2147483647, 10, (3, 1, 2147483647)) t(-7, 1, 2147483647, 100, (93, 1, 2147483647)) t(-7, 1, 2147483647, 2147483647, (2147483640, 1, 2147483647)) t(-7, 1, 2147483647, 9223372036854775808, (9223372036854775801, 1, 2147483647)) t(-7, 1, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-7, 1, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-7, 1, 9223372036854775808, 5, (0, 1, 9223372036854775808)) t(-7, 1, 9223372036854775808, 10, (3, 1, 9223372036854775808)) t(-7, 1, 9223372036854775808, 100, (93, 1, 9223372036854775808)) t(-7, 1, 9223372036854775808, 2147483647, (2147483640, 1, 9223372036854775808)) t(-7, 1, 9223372036854775808, 9223372036854775808, (9223372036854775801, 1, 9223372036854775808)) t(-7, 6, None, 0, (0, 0, 1)) t(-7, 6, None, 1, (0, 1, 1)) t(-7, 6, None, 5, (0, 5, 1)) t(-7, 6, None, 10, (3, 6, 1)) t(-7, 6, None, 100, (93, 6, 1)) t(-7, 6, None, 2147483647, (2147483640, 6, 1)) t(-7, 6, None, 9223372036854775808, (9223372036854775801, 6, 1)) t(-7, 6, -5, 0, (-1, -1, -5)) t(-7, 6, -5, 1, (-1, 0, -5)) t(-7, 6, -5, 5, (-1, 4, -5)) t(-7, 6, -5, 10, (3, 6, -5)) t(-7, 6, -5, 100, (93, 6, -5)) t(-7, 6, -5, 2147483647, (2147483640, 6, -5)) t(-7, 6, -5, 9223372036854775808, (9223372036854775801, 6, -5)) t(-7, 6, -3, 0, (-1, -1, -3)) t(-7, 6, -3, 1, (-1, 0, -3)) t(-7, 6, -3, 5, (-1, 4, -3)) t(-7, 6, -3, 10, (3, 6, -3)) t(-7, 6, -3, 100, (93, 6, -3)) t(-7, 6, -3, 2147483647, (2147483640, 6, -3)) t(-7, 6, -3, 9223372036854775808, (9223372036854775801, 6, -3)) t(-7, 6, -1, 0, (-1, -1, -1)) t(-7, 6, -1, 1, (-1, 0, -1)) t(-7, 6, -1, 5, (-1, 4, -1)) t(-7, 6, -1, 10, (3, 6, -1)) t(-7, 6, -1, 100, (93, 6, -1)) t(-7, 6, -1, 2147483647, (2147483640, 6, -1)) t(-7, 6, -1, 9223372036854775808, (9223372036854775801, 6, -1)) t(-7, 6, 1, 0, (0, 0, 1)) t(-7, 6, 1, 1, (0, 1, 1)) t(-7, 6, 1, 5, (0, 5, 1)) t(-7, 6, 1, 10, (3, 6, 1)) t(-7, 6, 1, 100, (93, 6, 1)) t(-7, 6, 1, 2147483647, (2147483640, 6, 1)) t(-7, 6, 1, 9223372036854775808, (9223372036854775801, 6, 1)) t(-7, 6, 5, 0, (0, 0, 5)) t(-7, 6, 5, 1, (0, 1, 5)) t(-7, 6, 5, 5, (0, 5, 5)) t(-7, 6, 5, 10, (3, 6, 5)) t(-7, 6, 5, 100, (93, 6, 5)) t(-7, 6, 5, 2147483647, (2147483640, 6, 5)) t(-7, 6, 5, 9223372036854775808, (9223372036854775801, 6, 5)) t(-7, 6, 20, 0, (0, 0, 20)) t(-7, 6, 20, 1, (0, 1, 20)) t(-7, 6, 20, 5, (0, 5, 20)) t(-7, 6, 20, 10, (3, 6, 20)) t(-7, 6, 20, 100, (93, 6, 20)) t(-7, 6, 20, 2147483647, (2147483640, 6, 20)) t(-7, 6, 20, 9223372036854775808, (9223372036854775801, 6, 20)) t(-7, 6, 2147483647, 0, (0, 0, 2147483647)) t(-7, 6, 2147483647, 1, (0, 1, 2147483647)) t(-7, 6, 2147483647, 5, (0, 5, 2147483647)) t(-7, 6, 2147483647, 10, (3, 6, 2147483647)) t(-7, 6, 2147483647, 100, (93, 6, 2147483647)) t(-7, 6, 2147483647, 2147483647, (2147483640, 6, 2147483647)) t(-7, 6, 2147483647, 9223372036854775808, (9223372036854775801, 6, 2147483647)) t(-7, 6, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-7, 6, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-7, 6, 9223372036854775808, 5, (0, 5, 9223372036854775808)) t(-7, 6, 9223372036854775808, 10, (3, 6, 9223372036854775808)) t(-7, 6, 9223372036854775808, 100, (93, 6, 9223372036854775808)) t(-7, 6, 9223372036854775808, 2147483647, (2147483640, 6, 9223372036854775808)) t(-7, 6, 9223372036854775808, 9223372036854775808, (9223372036854775801, 6, 9223372036854775808)) t(-7, 10, None, 0, (0, 0, 1)) t(-7, 10, None, 1, (0, 1, 1)) t(-7, 10, None, 5, (0, 5, 1)) t(-7, 10, None, 10, (3, 10, 1)) t(-7, 10, None, 100, (93, 10, 1)) t(-7, 10, None, 2147483647, (2147483640, 10, 1)) t(-7, 10, None, 9223372036854775808, (9223372036854775801, 10, 1)) t(-7, 10, -5, 0, (-1, -1, -5)) t(-7, 10, -5, 1, (-1, 0, -5)) t(-7, 10, -5, 5, (-1, 4, -5)) t(-7, 10, -5, 10, (3, 9, -5)) t(-7, 10, -5, 100, (93, 10, -5)) t(-7, 10, -5, 2147483647, (2147483640, 10, -5)) t(-7, 10, -5, 9223372036854775808, (9223372036854775801, 10, -5)) t(-7, 10, -3, 0, (-1, -1, -3)) t(-7, 10, -3, 1, (-1, 0, -3)) t(-7, 10, -3, 5, (-1, 4, -3)) t(-7, 10, -3, 10, (3, 9, -3)) t(-7, 10, -3, 100, (93, 10, -3)) t(-7, 10, -3, 2147483647, (2147483640, 10, -3)) t(-7, 10, -3, 9223372036854775808, (9223372036854775801, 10, -3)) t(-7, 10, -1, 0, (-1, -1, -1)) t(-7, 10, -1, 1, (-1, 0, -1)) t(-7, 10, -1, 5, (-1, 4, -1)) t(-7, 10, -1, 10, (3, 9, -1)) t(-7, 10, -1, 100, (93, 10, -1)) t(-7, 10, -1, 2147483647, (2147483640, 10, -1)) t(-7, 10, -1, 9223372036854775808, (9223372036854775801, 10, -1)) t(-7, 10, 1, 0, (0, 0, 1)) t(-7, 10, 1, 1, (0, 1, 1)) t(-7, 10, 1, 5, (0, 5, 1)) t(-7, 10, 1, 10, (3, 10, 1)) t(-7, 10, 1, 100, (93, 10, 1)) t(-7, 10, 1, 2147483647, (2147483640, 10, 1)) t(-7, 10, 1, 9223372036854775808, (9223372036854775801, 10, 1)) t(-7, 10, 5, 0, (0, 0, 5)) t(-7, 10, 5, 1, (0, 1, 5)) t(-7, 10, 5, 5, (0, 5, 5)) t(-7, 10, 5, 10, (3, 10, 5)) t(-7, 10, 5, 100, (93, 10, 5)) t(-7, 10, 5, 2147483647, (2147483640, 10, 5)) t(-7, 10, 5, 9223372036854775808, (9223372036854775801, 10, 5)) t(-7, 10, 20, 0, (0, 0, 20)) t(-7, 10, 20, 1, (0, 1, 20)) t(-7, 10, 20, 5, (0, 5, 20)) t(-7, 10, 20, 10, (3, 10, 20)) t(-7, 10, 20, 100, (93, 10, 20)) t(-7, 10, 20, 2147483647, (2147483640, 10, 20)) t(-7, 10, 20, 9223372036854775808, (9223372036854775801, 10, 20)) t(-7, 10, 2147483647, 0, (0, 0, 2147483647)) t(-7, 10, 2147483647, 1, (0, 1, 2147483647)) t(-7, 10, 2147483647, 5, (0, 5, 2147483647)) t(-7, 10, 2147483647, 10, (3, 10, 2147483647)) t(-7, 10, 2147483647, 100, (93, 10, 2147483647)) t(-7, 10, 2147483647, 2147483647, (2147483640, 10, 2147483647)) t(-7, 10, 2147483647, 9223372036854775808, (9223372036854775801, 10, 2147483647)) t(-7, 10, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-7, 10, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-7, 10, 9223372036854775808, 5, (0, 5, 9223372036854775808)) t(-7, 10, 9223372036854775808, 10, (3, 10, 9223372036854775808)) t(-7, 10, 9223372036854775808, 100, (93, 10, 9223372036854775808)) t(-7, 10, 9223372036854775808, 2147483647, (2147483640, 10, 9223372036854775808)) t(-7, 10, 9223372036854775808, 9223372036854775808, (9223372036854775801, 10, 9223372036854775808)) t(-7, 2147483647, None, 0, (0, 0, 1)) t(-7, 2147483647, None, 1, (0, 1, 1)) t(-7, 2147483647, None, 5, (0, 5, 1)) t(-7, 2147483647, None, 10, (3, 10, 1)) t(-7, 2147483647, None, 100, (93, 100, 1)) t(-7, 2147483647, None, 2147483647, (2147483640, 2147483647, 1)) t(-7, 2147483647, None, 9223372036854775808, (9223372036854775801, 2147483647, 1)) t(-7, 2147483647, -5, 0, (-1, -1, -5)) t(-7, 2147483647, -5, 1, (-1, 0, -5)) t(-7, 2147483647, -5, 5, (-1, 4, -5)) t(-7, 2147483647, -5, 10, (3, 9, -5)) t(-7, 2147483647, -5, 100, (93, 99, -5)) t(-7, 2147483647, -5, 2147483647, (2147483640, 2147483646, -5)) t(-7, 2147483647, -5, 9223372036854775808, (9223372036854775801, 2147483647, -5)) t(-7, 2147483647, -3, 0, (-1, -1, -3)) t(-7, 2147483647, -3, 1, (-1, 0, -3)) t(-7, 2147483647, -3, 5, (-1, 4, -3)) t(-7, 2147483647, -3, 10, (3, 9, -3)) t(-7, 2147483647, -3, 100, (93, 99, -3)) t(-7, 2147483647, -3, 2147483647, (2147483640, 2147483646, -3)) t(-7, 2147483647, -3, 9223372036854775808, (9223372036854775801, 2147483647, -3)) t(-7, 2147483647, -1, 0, (-1, -1, -1)) t(-7, 2147483647, -1, 1, (-1, 0, -1)) t(-7, 2147483647, -1, 5, (-1, 4, -1)) t(-7, 2147483647, -1, 10, (3, 9, -1)) t(-7, 2147483647, -1, 100, (93, 99, -1)) t(-7, 2147483647, -1, 2147483647, (2147483640, 2147483646, -1)) t(-7, 2147483647, -1, 9223372036854775808, (9223372036854775801, 2147483647, -1)) t(-7, 2147483647, 1, 0, (0, 0, 1)) t(-7, 2147483647, 1, 1, (0, 1, 1)) t(-7, 2147483647, 1, 5, (0, 5, 1)) t(-7, 2147483647, 1, 10, (3, 10, 1)) t(-7, 2147483647, 1, 100, (93, 100, 1)) t(-7, 2147483647, 1, 2147483647, (2147483640, 2147483647, 1)) t(-7, 2147483647, 1, 9223372036854775808, (9223372036854775801, 2147483647, 1)) t(-7, 2147483647, 5, 0, (0, 0, 5)) t(-7, 2147483647, 5, 1, (0, 1, 5)) t(-7, 2147483647, 5, 5, (0, 5, 5)) t(-7, 2147483647, 5, 10, (3, 10, 5)) t(-7, 2147483647, 5, 100, (93, 100, 5)) t(-7, 2147483647, 5, 2147483647, (2147483640, 2147483647, 5)) t(-7, 2147483647, 5, 9223372036854775808, (9223372036854775801, 2147483647, 5)) t(-7, 2147483647, 20, 0, (0, 0, 20)) t(-7, 2147483647, 20, 1, (0, 1, 20)) t(-7, 2147483647, 20, 5, (0, 5, 20)) t(-7, 2147483647, 20, 10, (3, 10, 20)) t(-7, 2147483647, 20, 100, (93, 100, 20)) t(-7, 2147483647, 20, 2147483647, (2147483640, 2147483647, 20)) t(-7, 2147483647, 20, 9223372036854775808, (9223372036854775801, 2147483647, 20)) t(-7, 2147483647, 2147483647, 0, (0, 0, 2147483647)) t(-7, 2147483647, 2147483647, 1, (0, 1, 2147483647)) t(-7, 2147483647, 2147483647, 5, (0, 5, 2147483647)) t(-7, 2147483647, 2147483647, 10, (3, 10, 2147483647)) t(-7, 2147483647, 2147483647, 100, (93, 100, 2147483647)) t(-7, 2147483647, 2147483647, 2147483647, (2147483640, 2147483647, 2147483647)) t(-7, 2147483647, 2147483647, 9223372036854775808, (9223372036854775801, 2147483647, 2147483647)) t(-7, 2147483647, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-7, 2147483647, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-7, 2147483647, 9223372036854775808, 5, (0, 5, 9223372036854775808)) t(-7, 2147483647, 9223372036854775808, 10, (3, 10, 9223372036854775808)) t(-7, 2147483647, 9223372036854775808, 100, (93, 100, 9223372036854775808)) t(-7, 2147483647, 9223372036854775808, 2147483647, (2147483640, 2147483647, 9223372036854775808)) t(-7, 2147483647, 9223372036854775808, 9223372036854775808, (9223372036854775801, 2147483647, 9223372036854775808)) t(-7, 9223372036854775808, None, 0, (0, 0, 1)) t(-7, 9223372036854775808, None, 1, (0, 1, 1)) t(-7, 9223372036854775808, None, 5, (0, 5, 1)) t(-7, 9223372036854775808, None, 10, (3, 10, 1)) t(-7, 9223372036854775808, None, 100, (93, 100, 1)) t(-7, 9223372036854775808, None, 2147483647, (2147483640, 2147483647, 1)) t(-7, 9223372036854775808, None, 9223372036854775808, (9223372036854775801, 9223372036854775808, 1)) t(-7, 9223372036854775808, -5, 0, (-1, -1, -5)) t(-7, 9223372036854775808, -5, 1, (-1, 0, -5)) t(-7, 9223372036854775808, -5, 5, (-1, 4, -5)) t(-7, 9223372036854775808, -5, 10, (3, 9, -5)) t(-7, 9223372036854775808, -5, 100, (93, 99, -5)) t(-7, 9223372036854775808, -5, 2147483647, (2147483640, 2147483646, -5)) t(-7, 9223372036854775808, -5, 9223372036854775808, (9223372036854775801, 9223372036854775807, -5)) t(-7, 9223372036854775808, -3, 0, (-1, -1, -3)) t(-7, 9223372036854775808, -3, 1, (-1, 0, -3)) t(-7, 9223372036854775808, -3, 5, (-1, 4, -3)) t(-7, 9223372036854775808, -3, 10, (3, 9, -3)) t(-7, 9223372036854775808, -3, 100, (93, 99, -3)) t(-7, 9223372036854775808, -3, 2147483647, (2147483640, 2147483646, -3)) t(-7, 9223372036854775808, -3, 9223372036854775808, (9223372036854775801, 9223372036854775807, -3)) t(-7, 9223372036854775808, -1, 0, (-1, -1, -1)) t(-7, 9223372036854775808, -1, 1, (-1, 0, -1)) t(-7, 9223372036854775808, -1, 5, (-1, 4, -1)) t(-7, 9223372036854775808, -1, 10, (3, 9, -1)) t(-7, 9223372036854775808, -1, 100, (93, 99, -1)) t(-7, 9223372036854775808, -1, 2147483647, (2147483640, 2147483646, -1)) t(-7, 9223372036854775808, -1, 9223372036854775808, (9223372036854775801, 9223372036854775807, -1)) t(-7, 9223372036854775808, 1, 0, (0, 0, 1)) t(-7, 9223372036854775808, 1, 1, (0, 1, 1)) t(-7, 9223372036854775808, 1, 5, (0, 5, 1)) t(-7, 9223372036854775808, 1, 10, (3, 10, 1)) t(-7, 9223372036854775808, 1, 100, (93, 100, 1)) t(-7, 9223372036854775808, 1, 2147483647, (2147483640, 2147483647, 1)) t(-7, 9223372036854775808, 1, 9223372036854775808, (9223372036854775801, 9223372036854775808, 1)) t(-7, 9223372036854775808, 5, 0, (0, 0, 5)) t(-7, 9223372036854775808, 5, 1, (0, 1, 5)) t(-7, 9223372036854775808, 5, 5, (0, 5, 5)) t(-7, 9223372036854775808, 5, 10, (3, 10, 5)) t(-7, 9223372036854775808, 5, 100, (93, 100, 5)) t(-7, 9223372036854775808, 5, 2147483647, (2147483640, 2147483647, 5)) t(-7, 9223372036854775808, 5, 9223372036854775808, (9223372036854775801, 9223372036854775808, 5)) t(-7, 9223372036854775808, 20, 0, (0, 0, 20)) t(-7, 9223372036854775808, 20, 1, (0, 1, 20)) t(-7, 9223372036854775808, 20, 5, (0, 5, 20)) t(-7, 9223372036854775808, 20, 10, (3, 10, 20)) t(-7, 9223372036854775808, 20, 100, (93, 100, 20)) t(-7, 9223372036854775808, 20, 2147483647, (2147483640, 2147483647, 20)) t(-7, 9223372036854775808, 20, 9223372036854775808, (9223372036854775801, 9223372036854775808, 20)) t(-7, 9223372036854775808, 2147483647, 0, (0, 0, 2147483647)) t(-7, 9223372036854775808, 2147483647, 1, (0, 1, 2147483647)) t(-7, 9223372036854775808, 2147483647, 5, (0, 5, 2147483647)) t(-7, 9223372036854775808, 2147483647, 10, (3, 10, 2147483647)) t(-7, 9223372036854775808, 2147483647, 100, (93, 100, 2147483647)) t(-7, 9223372036854775808, 2147483647, 2147483647, (2147483640, 2147483647, 2147483647)) t(-7, 9223372036854775808, 2147483647, 9223372036854775808, (9223372036854775801, 9223372036854775808, 2147483647)) t(-7, 9223372036854775808, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-7, 9223372036854775808, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-7, 9223372036854775808, 9223372036854775808, 5, (0, 5, 9223372036854775808)) t(-7, 9223372036854775808, 9223372036854775808, 10, (3, 10, 9223372036854775808)) t(-7, 9223372036854775808, 9223372036854775808, 100, (93, 100, 9223372036854775808)) t(-7, 9223372036854775808, 9223372036854775808, 2147483647, (2147483640, 2147483647, 9223372036854775808)) t(-7, 9223372036854775808, 9223372036854775808, 9223372036854775808, (9223372036854775801, 9223372036854775808, 9223372036854775808)) t(-2, None, None, 0, (0, 0, 1)) t(-2, None, None, 1, (0, 1, 1)) t(-2, None, None, 5, (3, 5, 1)) t(-2, None, None, 10, (8, 10, 1)) t(-2, None, None, 100, (98, 100, 1)) t(-2, None, None, 2147483647, (2147483645, 2147483647, 1)) t(-2, None, None, 9223372036854775808, (9223372036854775806, 9223372036854775808, 1)) t(-2, None, -5, 0, (-1, -1, -5)) t(-2, None, -5, 1, (-1, -1, -5)) t(-2, None, -5, 5, (3, -1, -5)) t(-2, None, -5, 10, (8, -1, -5)) t(-2, None, -5, 100, (98, -1, -5)) t(-2, None, -5, 2147483647, (2147483645, -1, -5)) t(-2, None, -5, 9223372036854775808, (9223372036854775806, -1, -5)) t(-2, None, -3, 0, (-1, -1, -3)) t(-2, None, -3, 1, (-1, -1, -3)) t(-2, None, -3, 5, (3, -1, -3)) t(-2, None, -3, 10, (8, -1, -3)) t(-2, None, -3, 100, (98, -1, -3)) t(-2, None, -3, 2147483647, (2147483645, -1, -3)) t(-2, None, -3, 9223372036854775808, (9223372036854775806, -1, -3)) t(-2, None, -1, 0, (-1, -1, -1)) t(-2, None, -1, 1, (-1, -1, -1)) t(-2, None, -1, 5, (3, -1, -1)) t(-2, None, -1, 10, (8, -1, -1)) t(-2, None, -1, 100, (98, -1, -1)) t(-2, None, -1, 2147483647, (2147483645, -1, -1)) t(-2, None, -1, 9223372036854775808, (9223372036854775806, -1, -1)) t(-2, None, 1, 0, (0, 0, 1)) t(-2, None, 1, 1, (0, 1, 1)) t(-2, None, 1, 5, (3, 5, 1)) t(-2, None, 1, 10, (8, 10, 1)) t(-2, None, 1, 100, (98, 100, 1)) t(-2, None, 1, 2147483647, (2147483645, 2147483647, 1)) t(-2, None, 1, 9223372036854775808, (9223372036854775806, 9223372036854775808, 1)) t(-2, None, 5, 0, (0, 0, 5)) t(-2, None, 5, 1, (0, 1, 5)) t(-2, None, 5, 5, (3, 5, 5)) t(-2, None, 5, 10, (8, 10, 5)) t(-2, None, 5, 100, (98, 100, 5)) t(-2, None, 5, 2147483647, (2147483645, 2147483647, 5)) t(-2, None, 5, 9223372036854775808, (9223372036854775806, 9223372036854775808, 5)) t(-2, None, 20, 0, (0, 0, 20)) t(-2, None, 20, 1, (0, 1, 20)) t(-2, None, 20, 5, (3, 5, 20)) t(-2, None, 20, 10, (8, 10, 20)) t(-2, None, 20, 100, (98, 100, 20)) t(-2, None, 20, 2147483647, (2147483645, 2147483647, 20)) t(-2, None, 20, 9223372036854775808, (9223372036854775806, 9223372036854775808, 20)) t(-2, None, 2147483647, 0, (0, 0, 2147483647)) t(-2, None, 2147483647, 1, (0, 1, 2147483647)) t(-2, None, 2147483647, 5, (3, 5, 2147483647)) t(-2, None, 2147483647, 10, (8, 10, 2147483647)) t(-2, None, 2147483647, 100, (98, 100, 2147483647)) t(-2, None, 2147483647, 2147483647, (2147483645, 2147483647, 2147483647)) t(-2, None, 2147483647, 9223372036854775808, (9223372036854775806, 9223372036854775808, 2147483647)) t(-2, None, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-2, None, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-2, None, 9223372036854775808, 5, (3, 5, 9223372036854775808)) t(-2, None, 9223372036854775808, 10, (8, 10, 9223372036854775808)) t(-2, None, 9223372036854775808, 100, (98, 100, 9223372036854775808)) t(-2, None, 9223372036854775808, 2147483647, (2147483645, 2147483647, 9223372036854775808)) t(-2, None, 9223372036854775808, 9223372036854775808, (9223372036854775806, 9223372036854775808, 9223372036854775808)) t(-2, -7, None, 0, (0, 0, 1)) t(-2, -7, None, 1, (0, 0, 1)) t(-2, -7, None, 5, (3, 0, 1)) t(-2, -7, None, 10, (8, 3, 1)) t(-2, -7, None, 100, (98, 93, 1)) t(-2, -7, None, 2147483647, (2147483645, 2147483640, 1)) t(-2, -7, None, 9223372036854775808, (9223372036854775806, 9223372036854775801, 1)) t(-2, -7, -5, 0, (-1, -1, -5)) t(-2, -7, -5, 1, (-1, -1, -5)) t(-2, -7, -5, 5, (3, -1, -5)) t(-2, -7, -5, 10, (8, 3, -5)) t(-2, -7, -5, 100, (98, 93, -5)) t(-2, -7, -5, 2147483647, (2147483645, 2147483640, -5)) t(-2, -7, -5, 9223372036854775808, (9223372036854775806, 9223372036854775801, -5)) t(-2, -7, -3, 0, (-1, -1, -3)) t(-2, -7, -3, 1, (-1, -1, -3)) t(-2, -7, -3, 5, (3, -1, -3)) t(-2, -7, -3, 10, (8, 3, -3)) t(-2, -7, -3, 100, (98, 93, -3)) t(-2, -7, -3, 2147483647, (2147483645, 2147483640, -3)) t(-2, -7, -3, 9223372036854775808, (9223372036854775806, 9223372036854775801, -3)) t(-2, -7, -1, 0, (-1, -1, -1)) t(-2, -7, -1, 1, (-1, -1, -1)) t(-2, -7, -1, 5, (3, -1, -1)) t(-2, -7, -1, 10, (8, 3, -1)) t(-2, -7, -1, 100, (98, 93, -1)) t(-2, -7, -1, 2147483647, (2147483645, 2147483640, -1)) t(-2, -7, -1, 9223372036854775808, (9223372036854775806, 9223372036854775801, -1)) t(-2, -7, 1, 0, (0, 0, 1)) t(-2, -7, 1, 1, (0, 0, 1)) t(-2, -7, 1, 5, (3, 0, 1)) t(-2, -7, 1, 10, (8, 3, 1)) t(-2, -7, 1, 100, (98, 93, 1)) t(-2, -7, 1, 2147483647, (2147483645, 2147483640, 1)) t(-2, -7, 1, 9223372036854775808, (9223372036854775806, 9223372036854775801, 1)) t(-2, -7, 5, 0, (0, 0, 5)) t(-2, -7, 5, 1, (0, 0, 5)) t(-2, -7, 5, 5, (3, 0, 5)) t(-2, -7, 5, 10, (8, 3, 5)) t(-2, -7, 5, 100, (98, 93, 5)) t(-2, -7, 5, 2147483647, (2147483645, 2147483640, 5)) t(-2, -7, 5, 9223372036854775808, (9223372036854775806, 9223372036854775801, 5)) t(-2, -7, 20, 0, (0, 0, 20)) t(-2, -7, 20, 1, (0, 0, 20)) t(-2, -7, 20, 5, (3, 0, 20)) t(-2, -7, 20, 10, (8, 3, 20)) t(-2, -7, 20, 100, (98, 93, 20)) t(-2, -7, 20, 2147483647, (2147483645, 2147483640, 20)) t(-2, -7, 20, 9223372036854775808, (9223372036854775806, 9223372036854775801, 20)) t(-2, -7, 2147483647, 0, (0, 0, 2147483647)) t(-2, -7, 2147483647, 1, (0, 0, 2147483647)) t(-2, -7, 2147483647, 5, (3, 0, 2147483647)) t(-2, -7, 2147483647, 10, (8, 3, 2147483647)) t(-2, -7, 2147483647, 100, (98, 93, 2147483647)) t(-2, -7, 2147483647, 2147483647, (2147483645, 2147483640, 2147483647)) t(-2, -7, 2147483647, 9223372036854775808, (9223372036854775806, 9223372036854775801, 2147483647)) t(-2, -7, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-2, -7, 9223372036854775808, 1, (0, 0, 9223372036854775808)) t(-2, -7, 9223372036854775808, 5, (3, 0, 9223372036854775808)) t(-2, -7, 9223372036854775808, 10, (8, 3, 9223372036854775808)) t(-2, -7, 9223372036854775808, 100, (98, 93, 9223372036854775808)) t(-2, -7, 9223372036854775808, 2147483647, (2147483645, 2147483640, 9223372036854775808)) t(-2, -7, 9223372036854775808, 9223372036854775808, (9223372036854775806, 9223372036854775801, 9223372036854775808)) t(-2, -2, None, 0, (0, 0, 1)) t(-2, -2, None, 1, (0, 0, 1)) t(-2, -2, None, 5, (3, 3, 1)) t(-2, -2, None, 10, (8, 8, 1)) t(-2, -2, None, 100, (98, 98, 1)) t(-2, -2, None, 2147483647, (2147483645, 2147483645, 1)) t(-2, -2, None, 9223372036854775808, (9223372036854775806, 9223372036854775806, 1)) t(-2, -2, -5, 0, (-1, -1, -5)) t(-2, -2, -5, 1, (-1, -1, -5)) t(-2, -2, -5, 5, (3, 3, -5)) t(-2, -2, -5, 10, (8, 8, -5)) t(-2, -2, -5, 100, (98, 98, -5)) t(-2, -2, -5, 2147483647, (2147483645, 2147483645, -5)) t(-2, -2, -5, 9223372036854775808, (9223372036854775806, 9223372036854775806, -5)) t(-2, -2, -3, 0, (-1, -1, -3)) t(-2, -2, -3, 1, (-1, -1, -3)) t(-2, -2, -3, 5, (3, 3, -3)) t(-2, -2, -3, 10, (8, 8, -3)) t(-2, -2, -3, 100, (98, 98, -3)) t(-2, -2, -3, 2147483647, (2147483645, 2147483645, -3)) t(-2, -2, -3, 9223372036854775808, (9223372036854775806, 9223372036854775806, -3)) t(-2, -2, -1, 0, (-1, -1, -1)) t(-2, -2, -1, 1, (-1, -1, -1)) t(-2, -2, -1, 5, (3, 3, -1)) t(-2, -2, -1, 10, (8, 8, -1)) t(-2, -2, -1, 100, (98, 98, -1)) t(-2, -2, -1, 2147483647, (2147483645, 2147483645, -1)) t(-2, -2, -1, 9223372036854775808, (9223372036854775806, 9223372036854775806, -1)) t(-2, -2, 1, 0, (0, 0, 1)) t(-2, -2, 1, 1, (0, 0, 1)) t(-2, -2, 1, 5, (3, 3, 1)) t(-2, -2, 1, 10, (8, 8, 1)) t(-2, -2, 1, 100, (98, 98, 1)) t(-2, -2, 1, 2147483647, (2147483645, 2147483645, 1)) t(-2, -2, 1, 9223372036854775808, (9223372036854775806, 9223372036854775806, 1)) t(-2, -2, 5, 0, (0, 0, 5)) t(-2, -2, 5, 1, (0, 0, 5)) t(-2, -2, 5, 5, (3, 3, 5)) t(-2, -2, 5, 10, (8, 8, 5)) t(-2, -2, 5, 100, (98, 98, 5)) t(-2, -2, 5, 2147483647, (2147483645, 2147483645, 5)) t(-2, -2, 5, 9223372036854775808, (9223372036854775806, 9223372036854775806, 5)) t(-2, -2, 20, 0, (0, 0, 20)) t(-2, -2, 20, 1, (0, 0, 20)) t(-2, -2, 20, 5, (3, 3, 20)) t(-2, -2, 20, 10, (8, 8, 20)) t(-2, -2, 20, 100, (98, 98, 20)) t(-2, -2, 20, 2147483647, (2147483645, 2147483645, 20)) t(-2, -2, 20, 9223372036854775808, (9223372036854775806, 9223372036854775806, 20)) t(-2, -2, 2147483647, 0, (0, 0, 2147483647)) t(-2, -2, 2147483647, 1, (0, 0, 2147483647)) t(-2, -2, 2147483647, 5, (3, 3, 2147483647)) t(-2, -2, 2147483647, 10, (8, 8, 2147483647)) t(-2, -2, 2147483647, 100, (98, 98, 2147483647)) t(-2, -2, 2147483647, 2147483647, (2147483645, 2147483645, 2147483647)) t(-2, -2, 2147483647, 9223372036854775808, (9223372036854775806, 9223372036854775806, 2147483647)) t(-2, -2, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-2, -2, 9223372036854775808, 1, (0, 0, 9223372036854775808)) t(-2, -2, 9223372036854775808, 5, (3, 3, 9223372036854775808)) t(-2, -2, 9223372036854775808, 10, (8, 8, 9223372036854775808)) t(-2, -2, 9223372036854775808, 100, (98, 98, 9223372036854775808)) t(-2, -2, 9223372036854775808, 2147483647, (2147483645, 2147483645, 9223372036854775808)) t(-2, -2, 9223372036854775808, 9223372036854775808, (9223372036854775806, 9223372036854775806, 9223372036854775808)) t(-2, 0, None, 0, (0, 0, 1)) t(-2, 0, None, 1, (0, 0, 1)) t(-2, 0, None, 5, (3, 0, 1)) t(-2, 0, None, 10, (8, 0, 1)) t(-2, 0, None, 100, (98, 0, 1)) t(-2, 0, None, 2147483647, (2147483645, 0, 1)) t(-2, 0, None, 9223372036854775808, (9223372036854775806, 0, 1)) t(-2, 0, -5, 0, (-1, -1, -5)) t(-2, 0, -5, 1, (-1, 0, -5)) t(-2, 0, -5, 5, (3, 0, -5)) t(-2, 0, -5, 10, (8, 0, -5)) t(-2, 0, -5, 100, (98, 0, -5)) t(-2, 0, -5, 2147483647, (2147483645, 0, -5)) t(-2, 0, -5, 9223372036854775808, (9223372036854775806, 0, -5)) t(-2, 0, -3, 0, (-1, -1, -3)) t(-2, 0, -3, 1, (-1, 0, -3)) t(-2, 0, -3, 5, (3, 0, -3)) t(-2, 0, -3, 10, (8, 0, -3)) t(-2, 0, -3, 100, (98, 0, -3)) t(-2, 0, -3, 2147483647, (2147483645, 0, -3)) t(-2, 0, -3, 9223372036854775808, (9223372036854775806, 0, -3)) t(-2, 0, -1, 0, (-1, -1, -1)) t(-2, 0, -1, 1, (-1, 0, -1)) t(-2, 0, -1, 5, (3, 0, -1)) t(-2, 0, -1, 10, (8, 0, -1)) t(-2, 0, -1, 100, (98, 0, -1)) t(-2, 0, -1, 2147483647, (2147483645, 0, -1)) t(-2, 0, -1, 9223372036854775808, (9223372036854775806, 0, -1)) t(-2, 0, 1, 0, (0, 0, 1)) t(-2, 0, 1, 1, (0, 0, 1)) t(-2, 0, 1, 5, (3, 0, 1)) t(-2, 0, 1, 10, (8, 0, 1)) t(-2, 0, 1, 100, (98, 0, 1)) t(-2, 0, 1, 2147483647, (2147483645, 0, 1)) t(-2, 0, 1, 9223372036854775808, (9223372036854775806, 0, 1)) t(-2, 0, 5, 0, (0, 0, 5)) t(-2, 0, 5, 1, (0, 0, 5)) t(-2, 0, 5, 5, (3, 0, 5)) t(-2, 0, 5, 10, (8, 0, 5)) t(-2, 0, 5, 100, (98, 0, 5)) t(-2, 0, 5, 2147483647, (2147483645, 0, 5)) t(-2, 0, 5, 9223372036854775808, (9223372036854775806, 0, 5)) t(-2, 0, 20, 0, (0, 0, 20)) t(-2, 0, 20, 1, (0, 0, 20)) t(-2, 0, 20, 5, (3, 0, 20)) t(-2, 0, 20, 10, (8, 0, 20)) t(-2, 0, 20, 100, (98, 0, 20)) t(-2, 0, 20, 2147483647, (2147483645, 0, 20)) t(-2, 0, 20, 9223372036854775808, (9223372036854775806, 0, 20)) t(-2, 0, 2147483647, 0, (0, 0, 2147483647)) t(-2, 0, 2147483647, 1, (0, 0, 2147483647)) t(-2, 0, 2147483647, 5, (3, 0, 2147483647)) t(-2, 0, 2147483647, 10, (8, 0, 2147483647)) t(-2, 0, 2147483647, 100, (98, 0, 2147483647)) t(-2, 0, 2147483647, 2147483647, (2147483645, 0, 2147483647)) t(-2, 0, 2147483647, 9223372036854775808, (9223372036854775806, 0, 2147483647)) t(-2, 0, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-2, 0, 9223372036854775808, 1, (0, 0, 9223372036854775808)) t(-2, 0, 9223372036854775808, 5, (3, 0, 9223372036854775808)) t(-2, 0, 9223372036854775808, 10, (8, 0, 9223372036854775808)) t(-2, 0, 9223372036854775808, 100, (98, 0, 9223372036854775808)) t(-2, 0, 9223372036854775808, 2147483647, (2147483645, 0, 9223372036854775808)) t(-2, 0, 9223372036854775808, 9223372036854775808, (9223372036854775806, 0, 9223372036854775808)) t(-2, 1, None, 0, (0, 0, 1)) t(-2, 1, None, 1, (0, 1, 1)) t(-2, 1, None, 5, (3, 1, 1)) t(-2, 1, None, 10, (8, 1, 1)) t(-2, 1, None, 100, (98, 1, 1)) t(-2, 1, None, 2147483647, (2147483645, 1, 1)) t(-2, 1, None, 9223372036854775808, (9223372036854775806, 1, 1)) t(-2, 1, -5, 0, (-1, -1, -5)) t(-2, 1, -5, 1, (-1, 0, -5)) t(-2, 1, -5, 5, (3, 1, -5)) t(-2, 1, -5, 10, (8, 1, -5)) t(-2, 1, -5, 100, (98, 1, -5)) t(-2, 1, -5, 2147483647, (2147483645, 1, -5)) t(-2, 1, -5, 9223372036854775808, (9223372036854775806, 1, -5)) t(-2, 1, -3, 0, (-1, -1, -3)) t(-2, 1, -3, 1, (-1, 0, -3)) t(-2, 1, -3, 5, (3, 1, -3)) t(-2, 1, -3, 10, (8, 1, -3)) t(-2, 1, -3, 100, (98, 1, -3)) t(-2, 1, -3, 2147483647, (2147483645, 1, -3)) t(-2, 1, -3, 9223372036854775808, (9223372036854775806, 1, -3)) t(-2, 1, -1, 0, (-1, -1, -1)) t(-2, 1, -1, 1, (-1, 0, -1)) t(-2, 1, -1, 5, (3, 1, -1)) t(-2, 1, -1, 10, (8, 1, -1)) t(-2, 1, -1, 100, (98, 1, -1)) t(-2, 1, -1, 2147483647, (2147483645, 1, -1)) t(-2, 1, -1, 9223372036854775808, (9223372036854775806, 1, -1)) t(-2, 1, 1, 0, (0, 0, 1)) t(-2, 1, 1, 1, (0, 1, 1)) t(-2, 1, 1, 5, (3, 1, 1)) t(-2, 1, 1, 10, (8, 1, 1)) t(-2, 1, 1, 100, (98, 1, 1)) t(-2, 1, 1, 2147483647, (2147483645, 1, 1)) t(-2, 1, 1, 9223372036854775808, (9223372036854775806, 1, 1)) t(-2, 1, 5, 0, (0, 0, 5)) t(-2, 1, 5, 1, (0, 1, 5)) t(-2, 1, 5, 5, (3, 1, 5)) t(-2, 1, 5, 10, (8, 1, 5)) t(-2, 1, 5, 100, (98, 1, 5)) t(-2, 1, 5, 2147483647, (2147483645, 1, 5)) t(-2, 1, 5, 9223372036854775808, (9223372036854775806, 1, 5)) t(-2, 1, 20, 0, (0, 0, 20)) t(-2, 1, 20, 1, (0, 1, 20)) t(-2, 1, 20, 5, (3, 1, 20)) t(-2, 1, 20, 10, (8, 1, 20)) t(-2, 1, 20, 100, (98, 1, 20)) t(-2, 1, 20, 2147483647, (2147483645, 1, 20)) t(-2, 1, 20, 9223372036854775808, (9223372036854775806, 1, 20)) t(-2, 1, 2147483647, 0, (0, 0, 2147483647)) t(-2, 1, 2147483647, 1, (0, 1, 2147483647)) t(-2, 1, 2147483647, 5, (3, 1, 2147483647)) t(-2, 1, 2147483647, 10, (8, 1, 2147483647)) t(-2, 1, 2147483647, 100, (98, 1, 2147483647)) t(-2, 1, 2147483647, 2147483647, (2147483645, 1, 2147483647)) t(-2, 1, 2147483647, 9223372036854775808, (9223372036854775806, 1, 2147483647)) t(-2, 1, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-2, 1, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-2, 1, 9223372036854775808, 5, (3, 1, 9223372036854775808)) t(-2, 1, 9223372036854775808, 10, (8, 1, 9223372036854775808)) t(-2, 1, 9223372036854775808, 100, (98, 1, 9223372036854775808)) t(-2, 1, 9223372036854775808, 2147483647, (2147483645, 1, 9223372036854775808)) t(-2, 1, 9223372036854775808, 9223372036854775808, (9223372036854775806, 1, 9223372036854775808)) t(-2, 6, None, 0, (0, 0, 1)) t(-2, 6, None, 1, (0, 1, 1)) t(-2, 6, None, 5, (3, 5, 1)) t(-2, 6, None, 10, (8, 6, 1)) t(-2, 6, None, 100, (98, 6, 1)) t(-2, 6, None, 2147483647, (2147483645, 6, 1)) t(-2, 6, None, 9223372036854775808, (9223372036854775806, 6, 1)) t(-2, 6, -5, 0, (-1, -1, -5)) t(-2, 6, -5, 1, (-1, 0, -5)) t(-2, 6, -5, 5, (3, 4, -5)) t(-2, 6, -5, 10, (8, 6, -5)) t(-2, 6, -5, 100, (98, 6, -5)) t(-2, 6, -5, 2147483647, (2147483645, 6, -5)) t(-2, 6, -5, 9223372036854775808, (9223372036854775806, 6, -5)) t(-2, 6, -3, 0, (-1, -1, -3)) t(-2, 6, -3, 1, (-1, 0, -3)) t(-2, 6, -3, 5, (3, 4, -3)) t(-2, 6, -3, 10, (8, 6, -3)) t(-2, 6, -3, 100, (98, 6, -3)) t(-2, 6, -3, 2147483647, (2147483645, 6, -3)) t(-2, 6, -3, 9223372036854775808, (9223372036854775806, 6, -3)) t(-2, 6, -1, 0, (-1, -1, -1)) t(-2, 6, -1, 1, (-1, 0, -1)) t(-2, 6, -1, 5, (3, 4, -1)) t(-2, 6, -1, 10, (8, 6, -1)) t(-2, 6, -1, 100, (98, 6, -1)) t(-2, 6, -1, 2147483647, (2147483645, 6, -1)) t(-2, 6, -1, 9223372036854775808, (9223372036854775806, 6, -1)) t(-2, 6, 1, 0, (0, 0, 1)) t(-2, 6, 1, 1, (0, 1, 1)) t(-2, 6, 1, 5, (3, 5, 1)) t(-2, 6, 1, 10, (8, 6, 1)) t(-2, 6, 1, 100, (98, 6, 1)) t(-2, 6, 1, 2147483647, (2147483645, 6, 1)) t(-2, 6, 1, 9223372036854775808, (9223372036854775806, 6, 1)) t(-2, 6, 5, 0, (0, 0, 5)) t(-2, 6, 5, 1, (0, 1, 5)) t(-2, 6, 5, 5, (3, 5, 5)) t(-2, 6, 5, 10, (8, 6, 5)) t(-2, 6, 5, 100, (98, 6, 5)) t(-2, 6, 5, 2147483647, (2147483645, 6, 5)) t(-2, 6, 5, 9223372036854775808, (9223372036854775806, 6, 5)) t(-2, 6, 20, 0, (0, 0, 20)) t(-2, 6, 20, 1, (0, 1, 20)) t(-2, 6, 20, 5, (3, 5, 20)) t(-2, 6, 20, 10, (8, 6, 20)) t(-2, 6, 20, 100, (98, 6, 20)) t(-2, 6, 20, 2147483647, (2147483645, 6, 20)) t(-2, 6, 20, 9223372036854775808, (9223372036854775806, 6, 20)) t(-2, 6, 2147483647, 0, (0, 0, 2147483647)) t(-2, 6, 2147483647, 1, (0, 1, 2147483647)) t(-2, 6, 2147483647, 5, (3, 5, 2147483647)) t(-2, 6, 2147483647, 10, (8, 6, 2147483647)) t(-2, 6, 2147483647, 100, (98, 6, 2147483647)) t(-2, 6, 2147483647, 2147483647, (2147483645, 6, 2147483647)) t(-2, 6, 2147483647, 9223372036854775808, (9223372036854775806, 6, 2147483647)) t(-2, 6, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-2, 6, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-2, 6, 9223372036854775808, 5, (3, 5, 9223372036854775808)) t(-2, 6, 9223372036854775808, 10, (8, 6, 9223372036854775808)) t(-2, 6, 9223372036854775808, 100, (98, 6, 9223372036854775808)) t(-2, 6, 9223372036854775808, 2147483647, (2147483645, 6, 9223372036854775808)) t(-2, 6, 9223372036854775808, 9223372036854775808, (9223372036854775806, 6, 9223372036854775808)) t(-2, 10, None, 0, (0, 0, 1)) t(-2, 10, None, 1, (0, 1, 1)) t(-2, 10, None, 5, (3, 5, 1)) t(-2, 10, None, 10, (8, 10, 1)) t(-2, 10, None, 100, (98, 10, 1)) t(-2, 10, 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10, (8, 10, 1)) t(-2, 10, 1, 100, (98, 10, 1)) t(-2, 10, 1, 2147483647, (2147483645, 10, 1)) t(-2, 10, 1, 9223372036854775808, (9223372036854775806, 10, 1)) t(-2, 10, 5, 0, (0, 0, 5)) t(-2, 10, 5, 1, (0, 1, 5)) t(-2, 10, 5, 5, (3, 5, 5)) t(-2, 10, 5, 10, (8, 10, 5)) t(-2, 10, 5, 100, (98, 10, 5)) t(-2, 10, 5, 2147483647, (2147483645, 10, 5)) t(-2, 10, 5, 9223372036854775808, (9223372036854775806, 10, 5)) t(-2, 10, 20, 0, (0, 0, 20)) t(-2, 10, 20, 1, (0, 1, 20)) t(-2, 10, 20, 5, (3, 5, 20)) t(-2, 10, 20, 10, (8, 10, 20)) t(-2, 10, 20, 100, (98, 10, 20)) t(-2, 10, 20, 2147483647, (2147483645, 10, 20)) t(-2, 10, 20, 9223372036854775808, (9223372036854775806, 10, 20)) t(-2, 10, 2147483647, 0, (0, 0, 2147483647)) t(-2, 10, 2147483647, 1, (0, 1, 2147483647)) t(-2, 10, 2147483647, 5, (3, 5, 2147483647)) t(-2, 10, 2147483647, 10, (8, 10, 2147483647)) t(-2, 10, 2147483647, 100, (98, 10, 2147483647)) t(-2, 10, 2147483647, 2147483647, (2147483645, 10, 2147483647)) t(-2, 10, 2147483647, 9223372036854775808, (9223372036854775806, 10, 2147483647)) t(-2, 10, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(-2, 10, 9223372036854775808, 1, (0, 1, 9223372036854775808)) t(-2, 10, 9223372036854775808, 5, (3, 5, 9223372036854775808)) t(-2, 10, 9223372036854775808, 10, (8, 10, 9223372036854775808)) t(-2, 10, 9223372036854775808, 100, (98, 10, 9223372036854775808)) t(-2, 10, 9223372036854775808, 2147483647, (2147483645, 10, 9223372036854775808)) t(-2, 10, 9223372036854775808, 9223372036854775808, (9223372036854775806, 10, 9223372036854775808)) t(-2, 2147483647, None, 0, (0, 0, 1)) t(-2, 2147483647, None, 1, (0, 1, 1)) t(-2, 2147483647, None, 5, (3, 5, 1)) t(-2, 2147483647, None, 10, (8, 10, 1)) t(-2, 2147483647, None, 100, (98, 100, 1)) t(-2, 2147483647, None, 2147483647, (2147483645, 2147483647, 1)) t(-2, 2147483647, None, 9223372036854775808, (9223372036854775806, 2147483647, 1)) t(-2, 2147483647, -5, 0, (-1, -1, -5)) t(-2, 2147483647, -5, 1, (-1, 0, -5)) t(-2, 2147483647, -5, 5, (3, 4, -5)) t(-2, 2147483647, -5, 10, (8, 9, -5)) t(-2, 2147483647, -5, 100, (98, 99, -5)) t(-2, 2147483647, -5, 2147483647, (2147483645, 2147483646, -5)) t(-2, 2147483647, -5, 9223372036854775808, (9223372036854775806, 2147483647, -5)) t(-2, 2147483647, -3, 0, (-1, -1, -3)) t(-2, 2147483647, -3, 1, (-1, 0, -3)) t(-2, 2147483647, -3, 5, (3, 4, -3)) t(-2, 2147483647, -3, 10, (8, 9, -3)) t(-2, 2147483647, -3, 100, (98, 99, -3)) t(-2, 2147483647, -3, 2147483647, (2147483645, 2147483646, -3)) t(-2, 2147483647, -3, 9223372036854775808, (9223372036854775806, 2147483647, -3)) t(-2, 2147483647, -1, 0, (-1, -1, -1)) t(-2, 2147483647, -1, 1, (-1, 0, -1)) t(-2, 2147483647, -1, 5, (3, 4, -1)) t(-2, 2147483647, -1, 10, (8, 9, -1)) t(-2, 2147483647, -1, 100, (98, 99, -1)) t(-2, 2147483647, -1, 2147483647, (2147483645, 2147483646, -1)) t(-2, 2147483647, -1, 9223372036854775808, (9223372036854775806, 2147483647, -1)) t(-2, 2147483647, 1, 0, (0, 0, 1)) t(-2, 2147483647, 1, 1, (0, 1, 1)) t(-2, 2147483647, 1, 5, (3, 5, 1)) t(-2, 2147483647, 1, 10, (8, 10, 1)) t(-2, 2147483647, 1, 100, (98, 100, 1)) t(-2, 2147483647, 1, 2147483647, (2147483645, 2147483647, 1)) t(-2, 2147483647, 1, 9223372036854775808, (9223372036854775806, 2147483647, 1)) t(-2, 2147483647, 5, 0, (0, 0, 5)) t(-2, 2147483647, 5, 1, (0, 1, 5)) t(-2, 2147483647, 5, 5, (3, 5, 5)) t(-2, 2147483647, 5, 10, (8, 10, 5)) t(-2, 2147483647, 5, 100, (98, 100, 5)) t(-2, 2147483647, 5, 2147483647, (2147483645, 2147483647, 5)) t(-2, 2147483647, 5, 9223372036854775808, (9223372036854775806, 2147483647, 5)) t(-2, 2147483647, 20, 0, (0, 0, 20)) t(-2, 2147483647, 20, 1, (0, 1, 20)) t(-2, 2147483647, 20, 5, (3, 5, 20)) t(-2, 2147483647, 20, 10, (8, 10, 20)) t(-2, 2147483647, 20, 100, (98, 100, 20)) t(-2, 2147483647, 20, 2147483647, (2147483645, 2147483647, 20)) t(-2, 2147483647, 20, 9223372036854775808, (9223372036854775806, 2147483647, 20)) t(-2, 2147483647, 2147483647, 0, (0, 0, 2147483647)) t(-2, 2147483647, 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1)) t(-2, 9223372036854775808, None, 1, (0, 1, 1)) t(-2, 9223372036854775808, None, 5, (3, 5, 1)) t(-2, 9223372036854775808, None, 10, (8, 10, 1)) t(-2, 9223372036854775808, None, 100, (98, 100, 1)) t(-2, 9223372036854775808, None, 2147483647, (2147483645, 2147483647, 1)) t(-2, 9223372036854775808, None, 9223372036854775808, (9223372036854775806, 9223372036854775808, 1)) t(-2, 9223372036854775808, -5, 0, (-1, -1, -5)) t(-2, 9223372036854775808, -5, 1, (-1, 0, -5)) t(-2, 9223372036854775808, -5, 5, (3, 4, -5)) t(-2, 9223372036854775808, -5, 10, (8, 9, -5)) t(-2, 9223372036854775808, -5, 100, (98, 99, -5)) t(-2, 9223372036854775808, -5, 2147483647, (2147483645, 2147483646, -5)) t(-2, 9223372036854775808, -5, 9223372036854775808, (9223372036854775806, 9223372036854775807, -5)) t(-2, 9223372036854775808, -3, 0, (-1, -1, -3)) t(-2, 9223372036854775808, -3, 1, (-1, 0, -3)) t(-2, 9223372036854775808, -3, 5, (3, 4, -3)) t(-2, 9223372036854775808, -3, 10, (8, 9, -3)) t(-2, 9223372036854775808, 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t(2147483647, 2147483647, None, 5, (5, 5, 1)) t(2147483647, 2147483647, None, 10, (10, 10, 1)) t(2147483647, 2147483647, None, 100, (100, 100, 1)) t(2147483647, 2147483647, None, 2147483647, (2147483647, 2147483647, 1)) t(2147483647, 2147483647, None, 9223372036854775808, (2147483647, 2147483647, 1)) t(2147483647, 2147483647, -5, 0, (-1, -1, -5)) t(2147483647, 2147483647, -5, 1, (0, 0, -5)) t(2147483647, 2147483647, -5, 5, (4, 4, -5)) t(2147483647, 2147483647, -5, 10, (9, 9, -5)) t(2147483647, 2147483647, -5, 100, (99, 99, -5)) t(2147483647, 2147483647, -5, 2147483647, (2147483646, 2147483646, -5)) t(2147483647, 2147483647, -5, 9223372036854775808, (2147483647, 2147483647, -5)) t(2147483647, 2147483647, -3, 0, (-1, -1, -3)) t(2147483647, 2147483647, -3, 1, (0, 0, -3)) t(2147483647, 2147483647, -3, 5, (4, 4, -3)) t(2147483647, 2147483647, -3, 10, (9, 9, -3)) t(2147483647, 2147483647, -3, 100, (99, 99, -3)) t(2147483647, 2147483647, -3, 2147483647, (2147483646, 2147483646, -3)) t(2147483647, 2147483647, -3, 9223372036854775808, (2147483647, 2147483647, -3)) t(2147483647, 2147483647, -1, 0, (-1, -1, -1)) t(2147483647, 2147483647, -1, 1, (0, 0, -1)) t(2147483647, 2147483647, -1, 5, (4, 4, -1)) t(2147483647, 2147483647, -1, 10, (9, 9, -1)) t(2147483647, 2147483647, -1, 100, (99, 99, -1)) t(2147483647, 2147483647, -1, 2147483647, (2147483646, 2147483646, -1)) t(2147483647, 2147483647, -1, 9223372036854775808, (2147483647, 2147483647, -1)) t(2147483647, 2147483647, 1, 0, (0, 0, 1)) t(2147483647, 2147483647, 1, 1, (1, 1, 1)) t(2147483647, 2147483647, 1, 5, (5, 5, 1)) t(2147483647, 2147483647, 1, 10, (10, 10, 1)) t(2147483647, 2147483647, 1, 100, (100, 100, 1)) t(2147483647, 2147483647, 1, 2147483647, (2147483647, 2147483647, 1)) t(2147483647, 2147483647, 1, 9223372036854775808, (2147483647, 2147483647, 1)) t(2147483647, 2147483647, 5, 0, (0, 0, 5)) t(2147483647, 2147483647, 5, 1, (1, 1, 5)) t(2147483647, 2147483647, 5, 5, (5, 5, 5)) t(2147483647, 2147483647, 5, 10, (10, 10, 5)) t(2147483647, 2147483647, 5, 100, (100, 100, 5)) t(2147483647, 2147483647, 5, 2147483647, (2147483647, 2147483647, 5)) t(2147483647, 2147483647, 5, 9223372036854775808, (2147483647, 2147483647, 5)) t(2147483647, 2147483647, 20, 0, (0, 0, 20)) t(2147483647, 2147483647, 20, 1, (1, 1, 20)) t(2147483647, 2147483647, 20, 5, (5, 5, 20)) t(2147483647, 2147483647, 20, 10, (10, 10, 20)) t(2147483647, 2147483647, 20, 100, (100, 100, 20)) t(2147483647, 2147483647, 20, 2147483647, (2147483647, 2147483647, 20)) t(2147483647, 2147483647, 20, 9223372036854775808, (2147483647, 2147483647, 20)) t(2147483647, 2147483647, 2147483647, 0, (0, 0, 2147483647)) t(2147483647, 2147483647, 2147483647, 1, (1, 1, 2147483647)) t(2147483647, 2147483647, 2147483647, 5, (5, 5, 2147483647)) t(2147483647, 2147483647, 2147483647, 10, (10, 10, 2147483647)) t(2147483647, 2147483647, 2147483647, 100, (100, 100, 2147483647)) t(2147483647, 2147483647, 2147483647, 2147483647, (2147483647, 2147483647, 2147483647)) t(2147483647, 2147483647, 2147483647, 9223372036854775808, (2147483647, 2147483647, 2147483647)) t(2147483647, 2147483647, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(2147483647, 2147483647, 9223372036854775808, 1, (1, 1, 9223372036854775808)) t(2147483647, 2147483647, 9223372036854775808, 5, (5, 5, 9223372036854775808)) t(2147483647, 2147483647, 9223372036854775808, 10, (10, 10, 9223372036854775808)) t(2147483647, 2147483647, 9223372036854775808, 100, (100, 100, 9223372036854775808)) t(2147483647, 2147483647, 9223372036854775808, 2147483647, (2147483647, 2147483647, 9223372036854775808)) t(2147483647, 2147483647, 9223372036854775808, 9223372036854775808, (2147483647, 2147483647, 9223372036854775808)) t(2147483647, 9223372036854775808, None, 0, (0, 0, 1)) t(2147483647, 9223372036854775808, None, 1, (1, 1, 1)) t(2147483647, 9223372036854775808, None, 5, (5, 5, 1)) t(2147483647, 9223372036854775808, None, 10, (10, 10, 1)) t(2147483647, 9223372036854775808, None, 100, (100, 100, 1)) t(2147483647, 9223372036854775808, None, 2147483647, (2147483647, 2147483647, 1)) t(2147483647, 9223372036854775808, None, 9223372036854775808, (2147483647, 9223372036854775808, 1)) t(2147483647, 9223372036854775808, -5, 0, (-1, -1, -5)) t(2147483647, 9223372036854775808, -5, 1, (0, 0, -5)) t(2147483647, 9223372036854775808, -5, 5, (4, 4, -5)) t(2147483647, 9223372036854775808, -5, 10, (9, 9, -5)) t(2147483647, 9223372036854775808, -5, 100, (99, 99, -5)) t(2147483647, 9223372036854775808, -5, 2147483647, (2147483646, 2147483646, -5)) t(2147483647, 9223372036854775808, -5, 9223372036854775808, (2147483647, 9223372036854775807, -5)) t(2147483647, 9223372036854775808, -3, 0, (-1, -1, -3)) t(2147483647, 9223372036854775808, -3, 1, (0, 0, -3)) t(2147483647, 9223372036854775808, -3, 5, (4, 4, -3)) t(2147483647, 9223372036854775808, -3, 10, (9, 9, -3)) t(2147483647, 9223372036854775808, -3, 100, (99, 99, -3)) t(2147483647, 9223372036854775808, -3, 2147483647, (2147483646, 2147483646, 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9223372036854775808, (9223372036854775807, -1, -5)) t(9223372036854775808, None, -3, 0, (-1, -1, -3)) t(9223372036854775808, None, -3, 1, (0, -1, -3)) t(9223372036854775808, None, -3, 5, (4, -1, -3)) t(9223372036854775808, None, -3, 10, (9, -1, -3)) t(9223372036854775808, None, -3, 100, (99, -1, -3)) t(9223372036854775808, None, -3, 2147483647, (2147483646, -1, -3)) t(9223372036854775808, None, -3, 9223372036854775808, (9223372036854775807, -1, -3)) t(9223372036854775808, None, -1, 0, (-1, -1, -1)) t(9223372036854775808, None, -1, 1, (0, -1, -1)) t(9223372036854775808, None, -1, 5, (4, -1, -1)) t(9223372036854775808, None, -1, 10, (9, -1, -1)) t(9223372036854775808, None, -1, 100, (99, -1, -1)) t(9223372036854775808, None, -1, 2147483647, (2147483646, -1, -1)) t(9223372036854775808, None, -1, 9223372036854775808, (9223372036854775807, -1, -1)) t(9223372036854775808, None, 1, 0, (0, 0, 1)) t(9223372036854775808, None, 1, 1, (1, 1, 1)) t(9223372036854775808, None, 1, 5, (5, 5, 1)) 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2147483647, -1, 5, (4, 4, -1)) t(9223372036854775808, 2147483647, -1, 10, (9, 9, -1)) t(9223372036854775808, 2147483647, -1, 100, (99, 99, -1)) t(9223372036854775808, 2147483647, -1, 2147483647, (2147483646, 2147483646, -1)) t(9223372036854775808, 2147483647, -1, 9223372036854775808, (9223372036854775807, 2147483647, -1)) t(9223372036854775808, 2147483647, 1, 0, (0, 0, 1)) t(9223372036854775808, 2147483647, 1, 1, (1, 1, 1)) t(9223372036854775808, 2147483647, 1, 5, (5, 5, 1)) t(9223372036854775808, 2147483647, 1, 10, (10, 10, 1)) t(9223372036854775808, 2147483647, 1, 100, (100, 100, 1)) t(9223372036854775808, 2147483647, 1, 2147483647, (2147483647, 2147483647, 1)) t(9223372036854775808, 2147483647, 1, 9223372036854775808, (9223372036854775808, 2147483647, 1)) t(9223372036854775808, 2147483647, 5, 0, (0, 0, 5)) t(9223372036854775808, 2147483647, 5, 1, (1, 1, 5)) t(9223372036854775808, 2147483647, 5, 5, (5, 5, 5)) t(9223372036854775808, 2147483647, 5, 10, (10, 10, 5)) t(9223372036854775808, 2147483647, 5, 100, (100, 100, 5)) t(9223372036854775808, 2147483647, 5, 2147483647, (2147483647, 2147483647, 5)) t(9223372036854775808, 2147483647, 5, 9223372036854775808, (9223372036854775808, 2147483647, 5)) t(9223372036854775808, 2147483647, 20, 0, (0, 0, 20)) t(9223372036854775808, 2147483647, 20, 1, (1, 1, 20)) t(9223372036854775808, 2147483647, 20, 5, (5, 5, 20)) t(9223372036854775808, 2147483647, 20, 10, (10, 10, 20)) t(9223372036854775808, 2147483647, 20, 100, (100, 100, 20)) t(9223372036854775808, 2147483647, 20, 2147483647, (2147483647, 2147483647, 20)) t(9223372036854775808, 2147483647, 20, 9223372036854775808, (9223372036854775808, 2147483647, 20)) t(9223372036854775808, 2147483647, 2147483647, 0, (0, 0, 2147483647)) t(9223372036854775808, 2147483647, 2147483647, 1, (1, 1, 2147483647)) t(9223372036854775808, 2147483647, 2147483647, 5, (5, 5, 2147483647)) t(9223372036854775808, 2147483647, 2147483647, 10, (10, 10, 2147483647)) t(9223372036854775808, 2147483647, 2147483647, 100, (100, 100, 2147483647)) t(9223372036854775808, 2147483647, 2147483647, 2147483647, (2147483647, 2147483647, 2147483647)) t(9223372036854775808, 2147483647, 2147483647, 9223372036854775808, (9223372036854775808, 2147483647, 2147483647)) t(9223372036854775808, 2147483647, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(9223372036854775808, 2147483647, 9223372036854775808, 1, (1, 1, 9223372036854775808)) t(9223372036854775808, 2147483647, 9223372036854775808, 5, (5, 5, 9223372036854775808)) t(9223372036854775808, 2147483647, 9223372036854775808, 10, (10, 10, 9223372036854775808)) t(9223372036854775808, 2147483647, 9223372036854775808, 100, (100, 100, 9223372036854775808)) t(9223372036854775808, 2147483647, 9223372036854775808, 2147483647, (2147483647, 2147483647, 9223372036854775808)) t(9223372036854775808, 2147483647, 9223372036854775808, 9223372036854775808, (9223372036854775808, 2147483647, 9223372036854775808)) t(9223372036854775808, 9223372036854775808, None, 0, (0, 0, 1)) t(9223372036854775808, 9223372036854775808, None, 1, (1, 1, 1)) t(9223372036854775808, 9223372036854775808, None, 5, (5, 5, 1)) t(9223372036854775808, 9223372036854775808, None, 10, (10, 10, 1)) t(9223372036854775808, 9223372036854775808, None, 100, (100, 100, 1)) t(9223372036854775808, 9223372036854775808, None, 2147483647, (2147483647, 2147483647, 1)) t(9223372036854775808, 9223372036854775808, None, 9223372036854775808, (9223372036854775808, 9223372036854775808, 1)) t(9223372036854775808, 9223372036854775808, -5, 0, (-1, -1, -5)) t(9223372036854775808, 9223372036854775808, -5, 1, (0, 0, -5)) t(9223372036854775808, 9223372036854775808, -5, 5, (4, 4, -5)) t(9223372036854775808, 9223372036854775808, -5, 10, (9, 9, -5)) t(9223372036854775808, 9223372036854775808, -5, 100, (99, 99, -5)) t(9223372036854775808, 9223372036854775808, -5, 2147483647, (2147483646, 2147483646, -5)) t(9223372036854775808, 9223372036854775808, -5, 9223372036854775808, (9223372036854775807, 9223372036854775807, -5)) t(9223372036854775808, 9223372036854775808, -3, 0, (-1, -1, -3)) t(9223372036854775808, 9223372036854775808, -3, 1, (0, 0, -3)) t(9223372036854775808, 9223372036854775808, -3, 5, (4, 4, -3)) t(9223372036854775808, 9223372036854775808, -3, 10, (9, 9, -3)) t(9223372036854775808, 9223372036854775808, -3, 100, (99, 99, -3)) t(9223372036854775808, 9223372036854775808, -3, 2147483647, (2147483646, 2147483646, -3)) t(9223372036854775808, 9223372036854775808, -3, 9223372036854775808, (9223372036854775807, 9223372036854775807, -3)) t(9223372036854775808, 9223372036854775808, -1, 0, (-1, -1, -1)) t(9223372036854775808, 9223372036854775808, -1, 1, (0, 0, -1)) t(9223372036854775808, 9223372036854775808, -1, 5, (4, 4, -1)) t(9223372036854775808, 9223372036854775808, -1, 10, (9, 9, -1)) t(9223372036854775808, 9223372036854775808, -1, 100, (99, 99, -1)) t(9223372036854775808, 9223372036854775808, -1, 2147483647, (2147483646, 2147483646, -1)) t(9223372036854775808, 9223372036854775808, -1, 9223372036854775808, (9223372036854775807, 9223372036854775807, -1)) t(9223372036854775808, 9223372036854775808, 1, 0, (0, 0, 1)) t(9223372036854775808, 9223372036854775808, 1, 1, (1, 1, 1)) t(9223372036854775808, 9223372036854775808, 1, 5, (5, 5, 1)) t(9223372036854775808, 9223372036854775808, 1, 10, (10, 10, 1)) t(9223372036854775808, 9223372036854775808, 1, 100, (100, 100, 1)) t(9223372036854775808, 9223372036854775808, 1, 2147483647, (2147483647, 2147483647, 1)) t(9223372036854775808, 9223372036854775808, 1, 9223372036854775808, (9223372036854775808, 9223372036854775808, 1)) t(9223372036854775808, 9223372036854775808, 5, 0, (0, 0, 5)) t(9223372036854775808, 9223372036854775808, 5, 1, (1, 1, 5)) t(9223372036854775808, 9223372036854775808, 5, 5, (5, 5, 5)) t(9223372036854775808, 9223372036854775808, 5, 10, (10, 10, 5)) t(9223372036854775808, 9223372036854775808, 5, 100, (100, 100, 5)) t(9223372036854775808, 9223372036854775808, 5, 2147483647, (2147483647, 2147483647, 5)) t(9223372036854775808, 9223372036854775808, 5, 9223372036854775808, (9223372036854775808, 9223372036854775808, 5)) t(9223372036854775808, 9223372036854775808, 20, 0, (0, 0, 20)) t(9223372036854775808, 9223372036854775808, 20, 1, (1, 1, 20)) t(9223372036854775808, 9223372036854775808, 20, 5, (5, 5, 20)) t(9223372036854775808, 9223372036854775808, 20, 10, (10, 10, 20)) t(9223372036854775808, 9223372036854775808, 20, 100, (100, 100, 20)) t(9223372036854775808, 9223372036854775808, 20, 2147483647, (2147483647, 2147483647, 20)) t(9223372036854775808, 9223372036854775808, 20, 9223372036854775808, (9223372036854775808, 9223372036854775808, 20)) t(9223372036854775808, 9223372036854775808, 2147483647, 0, (0, 0, 2147483647)) t(9223372036854775808, 9223372036854775808, 2147483647, 1, (1, 1, 2147483647)) t(9223372036854775808, 9223372036854775808, 2147483647, 5, (5, 5, 2147483647)) t(9223372036854775808, 9223372036854775808, 2147483647, 10, (10, 10, 2147483647)) t(9223372036854775808, 9223372036854775808, 2147483647, 100, (100, 100, 2147483647)) t(9223372036854775808, 9223372036854775808, 2147483647, 2147483647, (2147483647, 2147483647, 2147483647)) t(9223372036854775808, 9223372036854775808, 2147483647, 9223372036854775808, (9223372036854775808, 9223372036854775808, 2147483647)) t(9223372036854775808, 9223372036854775808, 9223372036854775808, 0, (0, 0, 9223372036854775808)) t(9223372036854775808, 9223372036854775808, 9223372036854775808, 1, (1, 1, 9223372036854775808)) t(9223372036854775808, 9223372036854775808, 9223372036854775808, 5, (5, 5, 9223372036854775808)) t(9223372036854775808, 9223372036854775808, 9223372036854775808, 10, (10, 10, 9223372036854775808)) t(9223372036854775808, 9223372036854775808, 9223372036854775808, 100, (100, 100, 9223372036854775808)) t(9223372036854775808, 9223372036854775808, 9223372036854775808, 2147483647, (2147483647, 2147483647, 9223372036854775808)) t(9223372036854775808, 9223372036854775808, 9223372036854775808, 9223372036854775808, (9223372036854775808, 9223372036854775808, 9223372036854775808))
"""Test package. Modules: conftest """
casa = float(input('Qual o valor da casa? R$:')) salario = float(input('Quanto é o seu salario? R$:')) anos = int(input('Em quantas parcelas você vai pagar?:')) prestação = casa/(anos*12) minimo = salario*30/100 if prestação <= minimo: print('você pode finaciar essa casa') print('A prestação será de {:.2f}'.format(prestação, anos)) else: print('Você não pode financiar essa casa')
# for index, character in enumerate("abcdefgh"): # print(index, character) for t in enumerate("abcdefgh"): index, character = t print(index, character) print(t) # the output has 8 tuples # unpacking tuples is a valuable technique index, character = [0, 'a'] print(index) print(character)
user_bin = int(input(), 2) one = int(1) zero = int(0) user_int = int(user_bin) user_int = int(user_int * 1) oct_str = str(oct(user_int)) print(oct_str[2:])
#!/usr/bin/env python3 # -*- coding: utf-8 -*- if __name__ == '__main__': n = int(input("Введите число n:")) r = n % 7 k = n // 7 if r == 0: print(f"n = 7 * {k}") else: print(f"n = 7 * {k} + {r}")
# Pre-built tokens for each version of docreader (taken from Fred issues 17, 28) # V10 & V11 tokens from Fred 28 DOCREADER. TOKENSV10 = {129: b'address ', 130: b'screens ', 131: b'screen ', 132: b' issue ', 133: b'memory ', 134: b'screen ', 135: b" don't ", 136: b' SAMCO ', 137: b' SAMCo ', 138: b'Coupe ', 139: b' FRED ', 140: b'bytes ', 141: b' data ', 142: b" it's ", 143: b' from ', 144: b' SAM ', 145: b'\x7f 199', 146: b'code ', 147: b'Code ', 148: b'Data ', 149: b'ould ', 150: b' out ', 151: b' had ', 152: b'Coupe', 153: b'SAMCO', 154: b'SAMCo', 155: b'The ', 156: b'the ', 157: b'tion', 158: b' at ', 159: b'empt', 160: b'\x7f199', 161: b'comp', 162: b'Comp', 163: b'cons', 164: b'Cons', 165: b'... ', 166: b' you', 167: b"'ll ", 168: b'ere ', 169: b'You ', 170: b' it ', 171: b'.) ', 172: b"n't", 173: b'ity', 174: b'At ', 175: b'199', 176: b'ing', 177: b'een', 178: b'and', 179: b'And', 180: b'ght', 181: b'mag', 182: b'pro', 183: b'oum', 184: b'ove', 185: b'age', 186: b' - ', 187: b"'m ", 188: b"'s ", 189: b'You', 190: b' I ', 191: b'ant', 192: b'ial', 193: b' ', 194: b' (', 195: b'er', 196: b', ', 197: b' ', 198: b'. ', 199: b'! ', 200: b'? ', 201: b'A ', 202: b'or', 203: b'ss', 204: b'ee', 205: b'ch', 206: b'sh', 207: b'un', 208: b'ly', 209: b'th', 210: b'Th', 211: b'To', 212: b'to', 213: b'ow', 214: b'qu', 215: b'Qu', 216: b'Be', 217: b'be', 218: b'Up', 219: b'up', 220: b'Re', 221: b're', 222: b'en', 223: b'En', 224: b'us', 225: b'Us', 226: b'ed', 227: b'oo', 228: b'."', 229: b'!"', 230: b'?"', 231: b'; ', 232: b': ', 233: b') ', 234: b'pe', 235: b'Pe', 236: b'ir', 237: b'Ir', 238: b'my', 239: b'pp', 240: b'I ', 241: b'dd', 242: b'ea', 243: b'ff', 244: b'ss', 245: b'it', 246: b'rr', 247: b'at', 248: b'At', 249: b'e ', 250: b'y ', 251: b'ic'} TOKENSV12 = {129: b"you'll", 130: b'ould', 131: b'ouse', 132: b'cons', 133: b'comp', 134: b"I'll", 135: b'entr', 136: b'ight', 137: b' ', 138: b'ent', 139: b'ing', 140: b'out', 141: b'ang', 142: b'cei', 143: b'ial', 144: b'ant', 145: b'mag', 146: b'pro', 147: b'age', 148: b"I'm", 149: b"'ll", 150: b'had', 151: b"n't", 152: b'ean', 153: b'eem', 154: b'ove', 155: b"I'd", 156: b'een', 157: b'all', 158: b'oup', 159: b'SAM', 160: b'the', 161: b'The', 162: b'dis', 163: b'key', 164: b'ave', 165: b'opy', 166: b'oil', 167: b'air', 168: b'eer', 169: b'ure', 170: b'ion', 171: b'vis', 172: b'ban', 173: b'mon', 174: b'hor', 175: b'ard', 176: b'ish', 177: b'nal', 178: b' ', 179: b'. ', 180: b', ', 181: b"'s", 182: b'om', 183: b'sh', 184: b'ch', 185: b'ew', 186: b'ng', 187: b'ic', 188: b'tr', 189: b'cr', 190: b'it', 191: b'ff', 192: b'ss', 193: b'ee', 194: b'oo', 195: b'ou', 196: b'ie', 197: b'ei', 198: b"'m", 199: b'nt', 200: b'fl', 201: b'ph', 202: b'qu', 203: b'be', 204: b'up', 205: b're', 206: b'en', 207: b'us', 208: b'ed', 209: b'to', 210: b'ow', 211: b'rr', 212: b'ea', 213: b'ar', 214: b'pe', 215: b'mu', 216: b'th', 217: b'Th', 218: b'll', 219: b'ff', 220: b'In', 221: b'in', 222: b'pp', 223: b'my', 224: b'I ', 225: b'or', 226: b'on', 227: b'et', 228: b'sc', 229: b'ut', 230: b'ex', 231: b'ce', 232: b'ck', 233: b'at', 234: b'At', 235: b'A ', 236: b'a ', 237: b'It', 238: b'is', 239: b'Is', 240: b'su', 241: b'Co', 242: b'er', 243: b'de', 244: b'di', 245: b'bi', 246: b'ey', 247: b'sp', 248: b'go', 249: b'aw', 250: b'ay', 251: b'il', 252: b'op', 253: b'an', 254: b'oc', 255: b'id'} # The following sequence precedes/follows the table in V10/V12, not an actual 'marker' but works. TOKENSV10_MARKER = (b'\x8D\x01\x8F\x01\x91\x01\x93\x01\x95\x01', b'<<<<<') TOKENSV12_MARKER = (b'\x2F\x01\x31\x01\x33\x01\x35\x01\x37\x01', b'<<<<<') def get_token_dictionary(data): for before, after in [TOKENSV10_MARKER, TOKENSV12_MARKER]: try: start = data.index(before) end = data.index(after) if start and end: start += len(before) return data[start:end] except ValueError: pass else: raise Exception("Token dictionary table not found.") def build_token_dictionary(data): """ Build a token dictionary from the supplied docread binary. Works for v1.0, v1.1 and v1.2 doc readers. """ # data is bytestring, isolate substitutions (byte 918 onwards) data = get_token_dictionary(data) tokenix = 129 # tokens start at 129. tokens = {} token = b'' i = 0 while i < len(data): byte = data[i] if byte & 0x80: # High bit set, subtract, store, and get ready for next token. byte -= 0x80 token += bytes([byte]) tokens[tokenix] = token tokenix += 1 token = b'' else: token += bytes([byte]) i += 1 return tokens
controller = ''' from fastapi import APIRouter, HTTPException,Cookie, Depends,Header,File, Body,Query from starlette.responses import JSONResponse from core.factories import settings import httpx router = APIRouter() '''
# parse file file_names = [] with open("train_file_controller.txt", 'r') as f: for line in f: file_names.append(line.strip().replace('\n', '')) with open("val_file_controller.txt", 'r') as f: for line in f: file_names.append(line.strip().replace('\n', '')) file_names.sort() for file in file_names: print(file) print("hello")
__all__ = ['InputError'] class InputError(BaseException): def __init__(self, errors): self.errors = errors super().__init__()
# Шаховий король ходить по горизонталі, вертикалі та діагоналі, але тільки на 1 клітинку. Дано дві різні клітинки шахової дошки, визначте, чи може король потрапити з першої клітинки на другу за один хід. ## Формат введення # Програма отримує на вхід чотири числа від 1 до 8 кожне, що задають номер стовпця і номер рядка спочатку для першої клітинки, потім для другої клітинки. ## Формат виведення # Програма повинна вивести YES, якщо з першої клітини ходом короля можна потрапити в другу або NO в іншому випадку. x1 = int(input()) y1 = int(input()) x2 = int(input()) y2 = int(input()) if abs(x2 - x1) == 1 and abs(y2 - y1) == 1: print("YES") elif x2 - x1 == 0 and abs(y2 - y1) == 1: print("YES") elif y2 - y1 == 0 and abs(x2 - x1) == 1: print("YES") else: print("NO")
class BadGrammar(Exception): """The rule definitions passed to Grammar contain syntax errors.""" class VisitationError(Exception): """Something went wrong while traversing a parse tree. This exception exists to augment an underlying exception with information about where in the parse tree the error occurred. Otherwise, it could be tiresome to figure out what went wrong; you'd have to play back the whole tree traversal in your head. """ # TODO: Make sure this is pickleable. Probably use @property pattern. Make # the original exc and node available on it if they don't cause a whole # raft of stack frames to be retained. def __init__(self, exc, exc_class, node): """Construct. :arg exc: What went wrong. We wrap this and add more info. :arg node: The node at which the error occurred """ self.original_class = exc_class super(VisitationError, self).__init__( '%s: %s\n\n' 'Parse tree:\n' '%s' % (exc_class.__name__, exc, node.prettily(error=node))) class UndefinedLabel(VisitationError): """A rule referenced in a grammar was never defined. Circular references and forward references are okay, but you have to define stuff at some point. """ def __init__(self, label): self.label = label def __unicode__(self): return u'The label "%s" was never defined.' % self.label __str__ = __unicode__
""" 백준 4153번 : 직각 삼각형 """ while True: numbers = list(map(int, input( ).split( ))) if numbers[0] == numbers[1] == numbers[2] == 0: break else: sqr_num = [x ** 2 for x in numbers] biggest = max(sqr_num) sqr_num.remove(biggest) if biggest == sum(sqr_num): print("right") else: print("wrong")
# # PySNMP MIB module PDN-CP-IWF-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/PDN-CP-IWF-MIB # Produced by pysmi-0.3.4 at Mon Apr 29 20:29:19 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # OctetString, Integer, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "OctetString", "Integer", "ObjectIdentifier") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ConstraintsUnion, ValueRangeConstraint, SingleValueConstraint, ConstraintsIntersection, ValueSizeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "ValueRangeConstraint", "SingleValueConstraint", "ConstraintsIntersection", "ValueSizeConstraint") ifIndex, InterfaceIndex = mibBuilder.importSymbols("IF-MIB", "ifIndex", "InterfaceIndex") pdnCpIwf, = mibBuilder.importSymbols("PDN-HEADER-MIB", "pdnCpIwf") SwitchState, = mibBuilder.importSymbols("PDN-TC", "SwitchState") NotificationGroup, ObjectGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ObjectGroup", "ModuleCompliance") MibScalar, MibTable, MibTableRow, MibTableColumn, ObjectIdentity, Gauge32, ModuleIdentity, TimeTicks, Counter32, IpAddress, iso, Integer32, NotificationType, Bits, Counter64, MibIdentifier, Unsigned32 = mibBuilder.importSymbols("SNMPv2-SMI", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "ObjectIdentity", "Gauge32", "ModuleIdentity", "TimeTicks", "Counter32", "IpAddress", "iso", "Integer32", "NotificationType", "Bits", "Counter64", "MibIdentifier", "Unsigned32") TextualConvention, RowStatus, DisplayString, TruthValue = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "RowStatus", "DisplayString", "TruthValue") pdnCpIwfMIB = ModuleIdentity((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1)) pdnCpIwfMIB.setRevisions(('2004-12-02 17:00', '2004-10-07 11:00', '2004-08-30 11:00', '2004-07-15 00:00', '2004-03-22 00:00',)) if mibBuilder.loadTexts: pdnCpIwfMIB.setLastUpdated('200412021700Z') if mibBuilder.loadTexts: pdnCpIwfMIB.setOrganization('Paradyne Networks MIB Working Group Other information about group editing the MIB') pdnCpIwfNotifications = MibIdentifier((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 0)) pdnCpIwfMIBObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1)) pdnCpIwfMIBConformance = MibIdentifier((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2)) pdnCpIwfConfigObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1)) pdnCpIwfTestObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 2)) pdnCpIwfStatsObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3)) class CpIwfRegion(TextualConvention, Integer32): status = 'current' subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2)) namedValues = NamedValues(("usa", 1), ("canada", 2)) class GatewayProtocol(TextualConvention, Integer32): status = 'current' subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4)) namedValues = NamedValues(("lescas", 1), ("voiceband", 2), ("mgcp", 3), ("sip", 4)) class HookState(TextualConvention, Integer32): status = 'current' subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3)) namedValues = NamedValues(("onhook", 1), ("offhook", 2), ("ringground", 3)) class PotsSignaling(TextualConvention, Integer32): status = 'current' subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2)) namedValues = NamedValues(("loopstart", 1), ("groundstart", 2)) class ControlProtocol(TextualConvention, Bits): status = 'current' namedValues = NamedValues(("cas", 0), ("eoc", 1), ("ccselcp", 2)) class VoiceEncoding(TextualConvention, Integer32): status = 'current' subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(0, 1, 2)) namedValues = NamedValues(("g711", 0), ("g726", 1), ("g729", 2)) class PdnPotsTestTypes(TextualConvention, Integer32): status = 'current' subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3)) namedValues = NamedValues(("noTest", 1), ("loopback", 2), ("ringsignal", 3)) pdnCpIwfTotalNumber = MibScalar((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 2147483647))).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfTotalNumber.setStatus('current') pdnCpIwfIndexNext = MibScalar((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 2147483647))).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfIndexNext.setStatus('current') pdnCpIwfRegion = MibScalar((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 3), CpIwfRegion()).setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnCpIwfRegion.setStatus('current') pdnCpIwfTable = MibTable((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4), ) if mibBuilder.loadTexts: pdnCpIwfTable.setStatus('current') pdnCpIwfEntry = MibTableRow((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1), ).setIndexNames((0, "PDN-CP-IWF-MIB", "pdnCpIwfIndex")) if mibBuilder.loadTexts: pdnCpIwfEntry.setStatus('current') pdnCpIwfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 2147483647))) if mibBuilder.loadTexts: pdnCpIwfIndex.setStatus('current') pdnCpIwfIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1, 2), InterfaceIndex()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfIfIndex.setStatus('current') pdnCpIwfRowStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1, 3), RowStatus()).setMaxAccess("readcreate") if mibBuilder.loadTexts: pdnCpIwfRowStatus.setStatus('current') pdnCpIwfNumPotsAssigned = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1, 4), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 24))).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfNumPotsAssigned.setStatus('current') pdnCpIwfGatewayProtocol = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1, 5), GatewayProtocol()).setMaxAccess("readcreate") if mibBuilder.loadTexts: pdnCpIwfGatewayProtocol.setStatus('current') pdnCpIwfAtmBLESCapability = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1, 6), ControlProtocol()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfAtmBLESCapability.setStatus('current') pdnCpIwfSscsPredefinedProfile = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1, 7), Integer32()).setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnCpIwfSscsPredefinedProfile.setStatus('current') pdnCpIwfJitterBufferLength = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 4, 1, 8), Integer32().subtype(subtypeSpec=ValueRangeConstraint(10, 120))).setUnits('Milliseconds').setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnCpIwfJitterBufferLength.setStatus('current') pdnCpIwfMappingTable = MibTable((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 5), ) if mibBuilder.loadTexts: pdnCpIwfMappingTable.setStatus('current') pdnCpIwfMappingEntry = MibTableRow((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 5, 1), ).setIndexNames((0, "IF-MIB", "ifIndex")) if mibBuilder.loadTexts: pdnCpIwfMappingEntry.setStatus('current') pdnCpIwfMappingIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 5, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 2147483647))).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfMappingIndex.setStatus('current') pdnPotsPortTable = MibTable((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6), ) if mibBuilder.loadTexts: pdnPotsPortTable.setStatus('current') pdnPotsPortEntry = MibTableRow((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1), ).setIndexNames((0, "PDN-CP-IWF-MIB", "pdnPotsPortIfIndex")) if mibBuilder.loadTexts: pdnPotsPortEntry.setStatus('current') pdnPotsPortIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 1), InterfaceIndex()) if mibBuilder.loadTexts: pdnPotsPortIfIndex.setStatus('current') pdnPotsPortCpIwfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 2147483647))).setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnPotsPortCpIwfIndex.setStatus('current') pdnPotsPortHookStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 3), HookState()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortHookStatus.setStatus('current') pdnPotsPortSignalingMethod = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 4), PotsSignaling()).setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnPotsPortSignalingMethod.setStatus('current') pdnPotsPortTxGain = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-24, 23))).setUnits('dB').setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnPotsPortTxGain.setStatus('current') pdnPotsPortRxGain = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 6), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-24, 23))).setUnits('dB').setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnPotsPortRxGain.setStatus('current') pdnPotsPortCustInfo = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 7), DisplayString()).setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnPotsPortCustInfo.setStatus('current') pdnPotsPortG729VoiceCodec = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 8), SwitchState()).setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnPotsPortG729VoiceCodec.setStatus('current') pdnPotsPortPreferedVoiceCodec = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 9), VoiceEncoding()).setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnPotsPortPreferedVoiceCodec.setStatus('current') pdnPotsPortPreferredPacketPeriod = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 10), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 2147483647))).setUnits('Milliseconds').setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnPotsPortPreferredPacketPeriod.setStatus('current') pdnPotsPortSilenceSuppression = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 11), SwitchState()).setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnPotsPortSilenceSuppression.setStatus('current') pdnPotsPortActualVoiceCodec = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 12), VoiceEncoding()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortActualVoiceCodec.setStatus('current') pdnPotsPortCallElapsedTime = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 13), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 65535))).setUnits('Seconds').setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortCallElapsedTime.setStatus('current') pdnPotsPortModemDetected = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 14), TruthValue()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortModemDetected.setStatus('current') pdnPotsPortEchoCanceller = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 15), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortEchoCanceller.setStatus('current') pdnPotsPortLocalEndName = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 16), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 64))).setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnPotsPortLocalEndName.setStatus('current') pdnPotsPortActiveSoftswitch = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 1, 6, 1, 17), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("primary", 1), ("secondary", 2), ("none", 3)))).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortActiveSoftswitch.setStatus('current') pdnCpIwfAal2StatsTable = MibTable((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1), ) if mibBuilder.loadTexts: pdnCpIwfAal2StatsTable.setStatus('current') pdnCpIwfAal2StatsEntry = MibTableRow((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1), ).setIndexNames((0, "IF-MIB", "ifIndex")) if mibBuilder.loadTexts: pdnCpIwfAal2StatsEntry.setStatus('current') pdnCpIwfAal2CpsRxPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 1), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfAal2CpsRxPkts.setStatus('current') pdnCpIwfAal2CpsTxPkts = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 2), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfAal2CpsTxPkts.setStatus('current') pdnCpIwfAal2CpsParityErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 3), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfAal2CpsParityErrors.setStatus('current') pdnCpIwfAal2CpsSeqNumErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 4), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfAal2CpsSeqNumErrors.setStatus('current') pdnCpIwfAal2CpsOsfMismatchErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 5), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfAal2CpsOsfMismatchErrors.setStatus('current') pdnCpIwfAal2CpsOsfErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 6), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfAal2CpsOsfErrors.setStatus('current') pdnCpIwfAal2CpsHecErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 7), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfAal2CpsHecErrors.setStatus('current') pdnCpIwfAal2CpsOversizeSduErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 8), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfAal2CpsOversizeSduErrors.setStatus('current') pdnCpIwfAal2CpsReassemblyErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 9), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfAal2CpsReassemblyErrors.setStatus('current') pdnCpIwfAal2CpsHecOverlapErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 10), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfAal2CpsHecOverlapErrors.setStatus('current') pdnCpIwfAal2CpsUuiErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 11), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfAal2CpsUuiErrors.setStatus('current') pdnCpIwfAal2CpsCidErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 1, 1, 12), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnCpIwfAal2CpsCidErrors.setStatus('current') pdnPotsPortStatsTable = MibTable((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2), ) if mibBuilder.loadTexts: pdnPotsPortStatsTable.setStatus('current') pdnPotsPortStatsEntry = MibTableRow((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1), ).setIndexNames((0, "IF-MIB", "ifIndex")) if mibBuilder.loadTexts: pdnPotsPortStatsEntry.setStatus('current') pdnPotsPortTotalCalls = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 1), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortTotalCalls.setStatus('current') pdnPotsPortTotalCallsFailure = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 2), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortTotalCallsFailure.setStatus('current') pdnPotsPortTotalCallsDropped = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 3), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortTotalCallsDropped.setStatus('current') pdnPotsPortInCallsReceived = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 4), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortInCallsReceived.setStatus('current') pdnPotsPortInCallsAnswered = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 5), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortInCallsAnswered.setStatus('current') pdnPotsPortInCallsConnected = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 6), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortInCallsConnected.setStatus('current') pdnPotsPortInCallsFailure = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 7), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortInCallsFailure.setStatus('current') pdnPotsPortOutCallsAttempted = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 8), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortOutCallsAttempted.setStatus('current') pdnPotsPortOutCallsAnswered = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 9), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortOutCallsAnswered.setStatus('current') pdnPotsPortOutCallsConnected = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 10), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortOutCallsConnected.setStatus('current') pdnPotsPortOutCallsFailure = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 11), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortOutCallsFailure.setStatus('current') pdnPotsPortPacketsSent = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 12), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortPacketsSent.setStatus('current') pdnPotsPortPacketsReceived = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 13), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortPacketsReceived.setStatus('current') pdnPotsPortPacketsLost = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 14), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortPacketsLost.setStatus('current') pdnPotsPortBytesSent = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 15), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortBytesSent.setStatus('current') pdnPotsPortBytesReceived = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 3, 2, 1, 16), Counter32()).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsPortBytesReceived.setStatus('current') pdnPotsTestTable = MibTable((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 2, 1), ) if mibBuilder.loadTexts: pdnPotsTestTable.setStatus('current') pdnPotsTestEntry = MibTableRow((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 2, 1, 1), ).setIndexNames((0, "IF-MIB", "ifIndex")) if mibBuilder.loadTexts: pdnPotsTestEntry.setStatus('current') pdnPotsTestType = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 2, 1, 1, 1), PdnPotsTestTypes()).setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnPotsTestType.setStatus('current') pdnPotsTestCmd = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 2, 1, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("noOp", 1), ("start", 2), ("stop", 3), ("keepAlive", 4)))).setMaxAccess("readwrite") if mibBuilder.loadTexts: pdnPotsTestCmd.setStatus('current') pdnPotsTestStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 1, 2, 1, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("active", 1), ("inactive", 2)))).setMaxAccess("readonly") if mibBuilder.loadTexts: pdnPotsTestStatus.setStatus('current') pdnCpIwfMIBCompliances = MibIdentifier((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 1)) pdnCpIwfMIBGroups = MibIdentifier((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2)) pdnCpIwfMIBCompliance = ModuleCompliance((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 1, 1)).setObjects(("PDN-CP-IWF-MIB", "pdnCpIwfGeneralConfigGroup"), ("PDN-CP-IWF-MIB", "pdnCpIwfPotsPortConfigGroup"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2StatsGroup"), ("PDN-CP-IWF-MIB", "pdnCpIwfPotsPortStatsGroup")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfMIBCompliance = pdnCpIwfMIBCompliance.setStatus('deprecated') pdnCpIwfMIBComplianceV2 = ModuleCompliance((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 1, 2)).setObjects(("PDN-CP-IWF-MIB", "pdnCpIwfGeneralConfigGroupV2"), ("PDN-CP-IWF-MIB", "pdnCpIwfIADConfigGroupV2"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2StatsGroup"), ("PDN-CP-IWF-MIB", "pdnCpIwfPotsPortStatsGroupV2"), ("PDN-CP-IWF-MIB", "pdnCpIwfPotsPortConfigGroupV2"), ("PDN-CP-IWF-MIB", "pdnCpIwfPotsPortTestGroupV2")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfMIBComplianceV2 = pdnCpIwfMIBComplianceV2.setStatus('deprecated') pdnCpIwfMIBComplianceV3 = ModuleCompliance((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 1, 3)).setObjects(("PDN-CP-IWF-MIB", "pdnCpIwfGeneralConfigGroupV2"), ("PDN-CP-IWF-MIB", "pdnCpIwfIADConfigGroupV3"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2StatsGroup"), ("PDN-CP-IWF-MIB", "pdnCpIwfPotsPortStatsGroupV2"), ("PDN-CP-IWF-MIB", "pdnCpIwfPotsPortConfigGroupV2"), ("PDN-CP-IWF-MIB", "pdnCpIwfPotsPortTestGroupV2"), ("PDN-CP-IWF-MIB", "pdnCpIwfPotsPortPacketStatsGroup")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfMIBComplianceV3 = pdnCpIwfMIBComplianceV3.setStatus('current') pdnCpIwfGeneralConfigGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 1)).setObjects(("PDN-CP-IWF-MIB", "pdnCpIwfTotalNumber"), ("PDN-CP-IWF-MIB", "pdnCpIwfIndexNext"), ("PDN-CP-IWF-MIB", "pdnCpIwfRegion"), ("PDN-CP-IWF-MIB", "pdnCpIwfIfIndex"), ("PDN-CP-IWF-MIB", "pdnCpIwfRowStatus"), ("PDN-CP-IWF-MIB", "pdnCpIwfNumPotsAssigned"), ("PDN-CP-IWF-MIB", "pdnCpIwfGatewayProtocol"), ("PDN-CP-IWF-MIB", "pdnCpIwfAtmBLESCapability"), ("PDN-CP-IWF-MIB", "pdnCpIwfSscsPredefinedProfile"), ("PDN-CP-IWF-MIB", "pdnCpIwfMappingIndex")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfGeneralConfigGroup = pdnCpIwfGeneralConfigGroup.setStatus('deprecated') pdnCpIwfPotsPortConfigGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 2)).setObjects(("PDN-CP-IWF-MIB", "pdnPotsPortCpIwfIndex"), ("PDN-CP-IWF-MIB", "pdnPotsPortHookStatus"), ("PDN-CP-IWF-MIB", "pdnPotsPortSignalingMethod"), ("PDN-CP-IWF-MIB", "pdnPotsPortTxGain"), ("PDN-CP-IWF-MIB", "pdnPotsPortRxGain")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfPotsPortConfigGroup = pdnCpIwfPotsPortConfigGroup.setStatus('deprecated') pdnCpIwfAal2StatsGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 3)).setObjects(("PDN-CP-IWF-MIB", "pdnCpIwfAal2CpsRxPkts"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2CpsTxPkts"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2CpsParityErrors"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2CpsSeqNumErrors"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2CpsOsfMismatchErrors"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2CpsOsfErrors"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2CpsHecErrors"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2CpsOversizeSduErrors"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2CpsReassemblyErrors"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2CpsHecOverlapErrors"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2CpsUuiErrors"), ("PDN-CP-IWF-MIB", "pdnCpIwfAal2CpsCidErrors")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfAal2StatsGroup = pdnCpIwfAal2StatsGroup.setStatus('current') pdnCpIwfPotsPortStatsGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 4)).setObjects(("PDN-CP-IWF-MIB", "pdnPotsPortTotalCalls")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfPotsPortStatsGroup = pdnCpIwfPotsPortStatsGroup.setStatus('deprecated') pdnCpIwfGeneralConfigGroupV2 = ObjectGroup((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 5)).setObjects(("PDN-CP-IWF-MIB", "pdnCpIwfTotalNumber"), ("PDN-CP-IWF-MIB", "pdnCpIwfIndexNext"), ("PDN-CP-IWF-MIB", "pdnCpIwfRegion")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfGeneralConfigGroupV2 = pdnCpIwfGeneralConfigGroupV2.setStatus('current') pdnCpIwfIADConfigGroupV2 = ObjectGroup((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 6)).setObjects(("PDN-CP-IWF-MIB", "pdnCpIwfIfIndex"), ("PDN-CP-IWF-MIB", "pdnCpIwfRowStatus"), ("PDN-CP-IWF-MIB", "pdnCpIwfNumPotsAssigned"), ("PDN-CP-IWF-MIB", "pdnCpIwfGatewayProtocol"), ("PDN-CP-IWF-MIB", "pdnCpIwfAtmBLESCapability"), ("PDN-CP-IWF-MIB", "pdnCpIwfSscsPredefinedProfile"), ("PDN-CP-IWF-MIB", "pdnCpIwfMappingIndex")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfIADConfigGroupV2 = pdnCpIwfIADConfigGroupV2.setStatus('current') pdnCpIwfPotsPortStatsGroupV2 = ObjectGroup((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 7)).setObjects(("PDN-CP-IWF-MIB", "pdnPotsPortTotalCalls"), ("PDN-CP-IWF-MIB", "pdnPotsPortTotalCallsFailure"), ("PDN-CP-IWF-MIB", "pdnPotsPortTotalCallsDropped"), ("PDN-CP-IWF-MIB", "pdnPotsPortInCallsReceived"), ("PDN-CP-IWF-MIB", "pdnPotsPortInCallsAnswered"), ("PDN-CP-IWF-MIB", "pdnPotsPortInCallsConnected"), ("PDN-CP-IWF-MIB", "pdnPotsPortInCallsFailure"), ("PDN-CP-IWF-MIB", "pdnPotsPortOutCallsAttempted"), ("PDN-CP-IWF-MIB", "pdnPotsPortOutCallsAnswered"), ("PDN-CP-IWF-MIB", "pdnPotsPortOutCallsConnected"), ("PDN-CP-IWF-MIB", "pdnPotsPortOutCallsFailure"), ("PDN-CP-IWF-MIB", "pdnPotsPortPacketsSent"), ("PDN-CP-IWF-MIB", "pdnPotsPortPacketsReceived"), ("PDN-CP-IWF-MIB", "pdnPotsPortPacketsLost"), ("PDN-CP-IWF-MIB", "pdnPotsPortBytesSent"), ("PDN-CP-IWF-MIB", "pdnPotsPortBytesReceived")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfPotsPortStatsGroupV2 = pdnCpIwfPotsPortStatsGroupV2.setStatus('current') pdnCpIwfPotsPortConfigGroupV2 = ObjectGroup((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 8)).setObjects(("PDN-CP-IWF-MIB", "pdnPotsPortCpIwfIndex"), ("PDN-CP-IWF-MIB", "pdnPotsPortHookStatus"), ("PDN-CP-IWF-MIB", "pdnPotsPortSignalingMethod"), ("PDN-CP-IWF-MIB", "pdnPotsPortTxGain"), ("PDN-CP-IWF-MIB", "pdnPotsPortRxGain"), ("PDN-CP-IWF-MIB", "pdnPotsPortCustInfo"), ("PDN-CP-IWF-MIB", "pdnPotsPortG729VoiceCodec"), ("PDN-CP-IWF-MIB", "pdnPotsPortPreferedVoiceCodec"), ("PDN-CP-IWF-MIB", "pdnPotsPortPreferredPacketPeriod"), ("PDN-CP-IWF-MIB", "pdnPotsPortSilenceSuppression"), ("PDN-CP-IWF-MIB", "pdnPotsPortActualVoiceCodec"), ("PDN-CP-IWF-MIB", "pdnPotsPortCallElapsedTime"), ("PDN-CP-IWF-MIB", "pdnPotsPortModemDetected"), ("PDN-CP-IWF-MIB", "pdnPotsPortEchoCanceller"), ("PDN-CP-IWF-MIB", "pdnPotsPortLocalEndName"), ("PDN-CP-IWF-MIB", "pdnPotsPortActiveSoftswitch")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfPotsPortConfigGroupV2 = pdnCpIwfPotsPortConfigGroupV2.setStatus('current') pdnCpIwfPotsPortTestGroupV2 = ObjectGroup((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 9)).setObjects(("PDN-CP-IWF-MIB", "pdnPotsTestType"), ("PDN-CP-IWF-MIB", "pdnPotsTestCmd"), ("PDN-CP-IWF-MIB", "pdnPotsTestStatus")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfPotsPortTestGroupV2 = pdnCpIwfPotsPortTestGroupV2.setStatus('current') pdnCpIwfIADConfigGroupV3 = ObjectGroup((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 10)).setObjects(("PDN-CP-IWF-MIB", "pdnCpIwfIfIndex"), ("PDN-CP-IWF-MIB", "pdnCpIwfRowStatus"), ("PDN-CP-IWF-MIB", "pdnCpIwfNumPotsAssigned"), ("PDN-CP-IWF-MIB", "pdnCpIwfGatewayProtocol"), ("PDN-CP-IWF-MIB", "pdnCpIwfAtmBLESCapability"), ("PDN-CP-IWF-MIB", "pdnCpIwfSscsPredefinedProfile"), ("PDN-CP-IWF-MIB", "pdnCpIwfJitterBufferLength"), ("PDN-CP-IWF-MIB", "pdnCpIwfMappingIndex")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfIADConfigGroupV3 = pdnCpIwfIADConfigGroupV3.setStatus('current') pdnCpIwfPotsPortPacketStatsGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 1795, 2, 24, 2, 50, 1, 2, 2, 11)).setObjects(("PDN-CP-IWF-MIB", "pdnPotsPortPacketsSent"), ("PDN-CP-IWF-MIB", "pdnPotsPortPacketsReceived"), ("PDN-CP-IWF-MIB", "pdnPotsPortPacketsLost"), ("PDN-CP-IWF-MIB", "pdnPotsPortBytesSent"), ("PDN-CP-IWF-MIB", "pdnPotsPortBytesReceived")) if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0): pdnCpIwfPotsPortPacketStatsGroup = pdnCpIwfPotsPortPacketStatsGroup.setStatus('current') mibBuilder.exportSymbols("PDN-CP-IWF-MIB", CpIwfRegion=CpIwfRegion, pdnCpIwfIndex=pdnCpIwfIndex, pdnPotsPortStatsTable=pdnPotsPortStatsTable, pdnCpIwfNumPotsAssigned=pdnCpIwfNumPotsAssigned, pdnPotsPortInCallsConnected=pdnPotsPortInCallsConnected, pdnCpIwfMIBGroups=pdnCpIwfMIBGroups, GatewayProtocol=GatewayProtocol, pdnPotsTestEntry=pdnPotsTestEntry, pdnCpIwfTable=pdnCpIwfTable, pdnCpIwfNotifications=pdnCpIwfNotifications, pdnCpIwfAal2StatsTable=pdnCpIwfAal2StatsTable, pdnPotsPortSignalingMethod=pdnPotsPortSignalingMethod, pdnCpIwfAal2CpsUuiErrors=pdnCpIwfAal2CpsUuiErrors, pdnCpIwfJitterBufferLength=pdnCpIwfJitterBufferLength, PYSNMP_MODULE_ID=pdnCpIwfMIB, pdnCpIwfPotsPortConfigGroupV2=pdnCpIwfPotsPortConfigGroupV2, pdnPotsPortOutCallsFailure=pdnPotsPortOutCallsFailure, pdnPotsPortEntry=pdnPotsPortEntry, pdnCpIwfMIBCompliances=pdnCpIwfMIBCompliances, pdnCpIwfAtmBLESCapability=pdnCpIwfAtmBLESCapability, pdnPotsPortPreferedVoiceCodec=pdnPotsPortPreferedVoiceCodec, pdnPotsPortInCallsFailure=pdnPotsPortInCallsFailure, pdnPotsPortLocalEndName=pdnPotsPortLocalEndName, pdnCpIwfMIBComplianceV3=pdnCpIwfMIBComplianceV3, pdnCpIwfStatsObjects=pdnCpIwfStatsObjects, pdnPotsPortTxGain=pdnPotsPortTxGain, pdnPotsPortBytesSent=pdnPotsPortBytesSent, ControlProtocol=ControlProtocol, pdnPotsPortOutCallsAttempted=pdnPotsPortOutCallsAttempted, pdnPotsPortTotalCalls=pdnPotsPortTotalCalls, pdnPotsPortOutCallsConnected=pdnPotsPortOutCallsConnected, pdnCpIwfPotsPortStatsGroupV2=pdnCpIwfPotsPortStatsGroupV2, pdnCpIwfRowStatus=pdnCpIwfRowStatus, pdnPotsPortTable=pdnPotsPortTable, HookState=HookState, pdnPotsPortBytesReceived=pdnPotsPortBytesReceived, pdnCpIwfTestObjects=pdnCpIwfTestObjects, pdnPotsTestType=pdnPotsTestType, pdnPotsPortStatsEntry=pdnPotsPortStatsEntry, pdnPotsPortTotalCallsFailure=pdnPotsPortTotalCallsFailure, pdnPotsPortModemDetected=pdnPotsPortModemDetected, pdnCpIwfMappingEntry=pdnCpIwfMappingEntry, pdnCpIwfRegion=pdnCpIwfRegion, pdnPotsPortEchoCanceller=pdnPotsPortEchoCanceller, pdnCpIwfGeneralConfigGroup=pdnCpIwfGeneralConfigGroup, pdnCpIwfPotsPortStatsGroup=pdnCpIwfPotsPortStatsGroup, pdnCpIwfAal2CpsOsfErrors=pdnCpIwfAal2CpsOsfErrors, pdnCpIwfAal2CpsParityErrors=pdnCpIwfAal2CpsParityErrors, pdnCpIwfMIB=pdnCpIwfMIB, pdnCpIwfIADConfigGroupV2=pdnCpIwfIADConfigGroupV2, pdnPotsPortActualVoiceCodec=pdnPotsPortActualVoiceCodec, pdnPotsPortOutCallsAnswered=pdnPotsPortOutCallsAnswered, pdnCpIwfAal2CpsOversizeSduErrors=pdnCpIwfAal2CpsOversizeSduErrors, pdnCpIwfAal2CpsReassemblyErrors=pdnCpIwfAal2CpsReassemblyErrors, pdnCpIwfTotalNumber=pdnCpIwfTotalNumber, pdnPotsPortActiveSoftswitch=pdnPotsPortActiveSoftswitch, pdnPotsPortPacketsLost=pdnPotsPortPacketsLost, pdnCpIwfPotsPortTestGroupV2=pdnCpIwfPotsPortTestGroupV2, pdnPotsPortSilenceSuppression=pdnPotsPortSilenceSuppression, pdnCpIwfMappingIndex=pdnCpIwfMappingIndex, pdnCpIwfAal2CpsHecOverlapErrors=pdnCpIwfAal2CpsHecOverlapErrors, pdnCpIwfSscsPredefinedProfile=pdnCpIwfSscsPredefinedProfile, pdnPotsPortPreferredPacketPeriod=pdnPotsPortPreferredPacketPeriod, pdnCpIwfPotsPortPacketStatsGroup=pdnCpIwfPotsPortPacketStatsGroup, pdnPotsPortIfIndex=pdnPotsPortIfIndex, pdnPotsPortTotalCallsDropped=pdnPotsPortTotalCallsDropped, pdnCpIwfMappingTable=pdnCpIwfMappingTable, pdnCpIwfConfigObjects=pdnCpIwfConfigObjects, pdnCpIwfGeneralConfigGroupV2=pdnCpIwfGeneralConfigGroupV2, PdnPotsTestTypes=PdnPotsTestTypes, pdnCpIwfEntry=pdnCpIwfEntry, pdnCpIwfAal2CpsSeqNumErrors=pdnCpIwfAal2CpsSeqNumErrors, pdnPotsPortCustInfo=pdnPotsPortCustInfo, pdnPotsTestTable=pdnPotsTestTable, pdnCpIwfGatewayProtocol=pdnCpIwfGatewayProtocol, pdnCpIwfAal2CpsHecErrors=pdnCpIwfAal2CpsHecErrors, PotsSignaling=PotsSignaling, pdnCpIwfAal2CpsOsfMismatchErrors=pdnCpIwfAal2CpsOsfMismatchErrors, pdnPotsPortInCallsReceived=pdnPotsPortInCallsReceived, pdnPotsPortHookStatus=pdnPotsPortHookStatus, pdnCpIwfMIBComplianceV2=pdnCpIwfMIBComplianceV2, pdnCpIwfIndexNext=pdnCpIwfIndexNext, pdnCpIwfAal2StatsGroup=pdnCpIwfAal2StatsGroup, pdnCpIwfAal2CpsTxPkts=pdnCpIwfAal2CpsTxPkts, pdnPotsTestStatus=pdnPotsTestStatus, pdnCpIwfMIBCompliance=pdnCpIwfMIBCompliance, pdnPotsPortPacketsReceived=pdnPotsPortPacketsReceived, pdnCpIwfIfIndex=pdnCpIwfIfIndex, pdnPotsPortCallElapsedTime=pdnPotsPortCallElapsedTime, pdnCpIwfPotsPortConfigGroup=pdnCpIwfPotsPortConfigGroup, pdnCpIwfMIBConformance=pdnCpIwfMIBConformance, VoiceEncoding=VoiceEncoding, pdnPotsPortPacketsSent=pdnPotsPortPacketsSent, pdnCpIwfAal2StatsEntry=pdnCpIwfAal2StatsEntry, pdnPotsPortG729VoiceCodec=pdnPotsPortG729VoiceCodec, pdnCpIwfMIBObjects=pdnCpIwfMIBObjects, pdnPotsPortInCallsAnswered=pdnPotsPortInCallsAnswered, pdnPotsTestCmd=pdnPotsTestCmd, pdnCpIwfAal2CpsRxPkts=pdnCpIwfAal2CpsRxPkts, pdnCpIwfAal2CpsCidErrors=pdnCpIwfAal2CpsCidErrors, pdnPotsPortRxGain=pdnPotsPortRxGain, pdnCpIwfIADConfigGroupV3=pdnCpIwfIADConfigGroupV3, pdnPotsPortCpIwfIndex=pdnPotsPortCpIwfIndex)
numero = int(input('Digite um número de 0 a 9999 ')) if numero >= 0 and numero <= 9999: numero = str(numero) print('Unidade {}'.format(numero[3])) print('Dezena {}'.format(numero[2])) print('Centena {}'.format(numero[1])) print('Milhar {}'.format(numero[0])) else: print('Atenção numero de 0 a 9999')
def u64ToCounts(number): """ Convert an unsigned 64 bit number to a 25 element array containing the photon counts for each of the 25 detector elements during a single dwell time. ========== =============================================================== Input Meaning ---------- --------------------------------------------------------------- number Integer number <= 2^64 containing the photon counts for half of the detector elements for 1 bin. ========== =============================================================== ========== =============================================================== Output Meaning ---------- --------------------------------------------------------------- counts List of 26 integer numbers with the photon counts for each of the 25 detector elements + sum. Zeros are inserted for detector elements that are not stored in the number. ========== =============================================================== ======= Example ======= u64ToCounts(13091560953979690842) will return [0, 0, 0, 0, 0, 0, 26, 23, 21, 10, 12, 26, 554, 52, 5, 11, 22, 0, 0, 0,... 0, 0, 0, 0, 0, 759] """ if number < 32: counts = [0] * 26 return counts # Convert number to binary list of 64 digits number = list('{0:064b}'.format(int(number))) # Get time tag tt = number[-4:] tt = ''.join(tt) tt = int(tt, 2) del number[-4:] # Get cluster type clust = number[-1] clust = int(clust, 2) del number[-1] # Create list with 25 0's, one for each detector element counts = [0] * 26 if clust == 0: # Data point contains counts of detector elements 0-5, 17-24 # Detector elements 0-5 (4 bits / element) for i in range(6): counts[i], number = binaryToCounts(number, 4) # Detector element 17 (6 bits long) counts[17], number = binaryToCounts(number, 6) # Detector element 18 (5 bits long) counts[18], number = binaryToCounts(number, 5) # Detector elements 19-24 (4 bits / element) for i in range(6): counts[i+19], number = binaryToCounts(number, 4) elif clust == 1: # Data point contains counts of detector elements 6-16 # Detector element 6 (5 bits long) counts[6], number = binaryToCounts(number, 5) # Detector element 7 (6 bits long) counts[7], number = binaryToCounts(number, 6) # Detector element 8 (5 bits long) counts[8], number = binaryToCounts(number, 5) # Detector element 9-10 (4 bits long) counts[9], number = binaryToCounts(number, 4) counts[10], number = binaryToCounts(number, 4) # Detector element 11 (6 bits long) counts[11], number = binaryToCounts(number, 6) # Detector element 12 (10 bits long) counts[12], number = binaryToCounts(number, 10) # Detector element 13 (6 bits long) counts[13], number = binaryToCounts(number, 6) # Detector element 14-15 (4 bits long) counts[14], number = binaryToCounts(number, 4) counts[15], number = binaryToCounts(number, 4) # Detector element 14-15 (5 bits long) counts[16], number = binaryToCounts(number, 5) counts[25] = sum(counts) return counts def binaryToCounts(number, length): """ Convert the last elements of a binary list to the corresponding photon decimal number and remove these elements from the list. Both the number and the new list are returned. ========== =============================================================== Input Meaning ---------- --------------------------------------------------------------- number List of 0's and 1's. length Integer number representing the number of bits that make up the last photon count number in the list. ========== =============================================================== ========== =============================================================== Output Meaning ---------- --------------------------------------------------------------- counts Decimal representation of the binary string of length 'length', formed by the last elements in the list. number New binary list with the last 'length' elements removed. ========== =============================================================== ======= Example ======= binaryToCounts(['1', '0', '1', '1'], 3) will return (3, ['1']). 3: the decimal representation of the last elements in the list (0,1,1) ['1']: list with the remaining elements of the original list """ counts = int(''.join(number[-length:]), 2) del number[-length:] return counts, number
# -*- coding: utf-8 -*- class StringMutations: @classmethod def _list_shift(cls, l, n): return l[n:] + l[:n] @classmethod def length(cls, mutation, value, story, line, operator, operand): return len(value) @classmethod def replace(cls, mutation, value, story, line, operator, operand): new_val = story.argument_by_name(mutation, 'with') return value.replace(operand, new_val) @classmethod def split(cls, mutation, value, story, line, operator, operand): return value.split(operand) @classmethod def uppercase(cls, mutation, value, story, line, operator, operand): return value.upper() @classmethod def lowercase(cls, mutation, value, story, line, operator, operand): return value.lower()
# Copyright 2016 Cisco Systems, Inc. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. # class Encaps(object): VLAN = "VLAN" VxLAN = "VxLAN" MPLS = "MPLS" NO_ENCAPS = "NONE" encaps_mapping = { 'VLAN': VLAN, 'VXLAN': VxLAN, 'MPLS': MPLS, 'NONE': NO_ENCAPS } @classmethod def get(cls, network_type): return cls.encaps_mapping.get(network_type.upper(), None) class ChainType(object): PVP = "PVP" PVVP = "PVVP" EXT = "EXT" names = [EXT, PVP, PVVP] class OpenStackSpec(object): def __init__(self): self.__vswitch = "BASIC" self.__encaps = Encaps.NO_ENCAPS @property def vswitch(self): return self.__vswitch @vswitch.setter def vswitch(self, vsw): if vsw is None: raise Exception('Trying to set vSwitch as None.') self.__vswitch = vsw.upper() @property def encaps(self): return self.__encaps @encaps.setter def encaps(self, enc): if enc is None: raise Exception('Trying to set Encaps as None.') self.__encaps = enc class RunSpec(object): def __init__(self, no_vswitch_access, openstack_spec): self.use_vswitch = (not no_vswitch_access) and openstack_spec \ and openstack_spec.vswitch != "BASIC" class Specs(object): def __init__(self): self.openstack = None self.run_spec = None def set_openstack_spec(self, openstack_spec): self.openstack = openstack_spec def set_run_spec(self, run_spec): self.run_spec = run_spec
# Tuplas são imutáveis tupla1 = ('Hambúrguer', 'Suco', 'Pizza', 'Pudim', 'Batata Frita') # tupla1[1] = 'Refrigerante' print(tupla1) print(tupla1[0]) # Hambúrguer print(tupla1[3]) # Pudim print(tupla1[-1]) # Batata Frita print(tupla1[-2]) # Pudim print(tupla1[1:3]) # Suco e Pizza print(tupla1[2:]) # Pizza, Pudim, Batata Frita print(tupla1[:2]) # Hambúrguer e Suco print(tupla1[-2:]) # Pudim e Batata Frita print(tupla1[-3:]) # Pizza, Pudim e Batata Frita print('='*50) tupla2 = 'São Paulo', 'Palmeiras', 'Santos' print(tupla2) print(f'A tupla2 possui {len(tupla2)} itens.') print('='*50) for comida in tupla1: print(f'Eu vou comer {comida}') print('Comi pra caramba!') for pos in range(0, len(tupla1)): print(f'Eu vou comer {tupla1[pos]} na posição {pos}.') print('Comi pra caramba!') for pos, comida in enumerate(tupla1): print(f'Eu vou comer {comida} na posição {pos}.') print('Comi pra caramba!') print('='*50) print(tupla1) print(f'Ordenando uma tupla: {sorted(tupla1)}') # Transfora e Lista [] print('='*50) a = (2, 5, 4) b = (5, 8, 1, 2) c = a + b print(f'(2, 5, 4) + (5, 8, 1, 2) = {c}') c = b + a print(f'(5, 8, 1, 2) + (2, 5, 4) = {c}, onde c possui {len(c)} elementos, o número cinco aparece {c.count(5)} vezes e o número dois está na posição {c.index(2)}') print(f'A segunda ocorrência no número cinco encontra-se na posição {c.index(5, 1)}.') print('='*50) ''' pessoa = ('Gustavo', 39, 'M', 99.88) print(pessoa) del(pessoa) print(pessoa) '''
# Given an list , use bucket sort to sort the elements of the list and return # Input: [1, 2, 4, 3, 5] # Output: [1, 2, 3, 4, 5] # divide the elements into several lists known as buckets # loop through each buckets and sort them(insertion/quick sort) # return each element of the buckets since they would be sorted already # when the number of elements in each bucket is 1 the time complexity practically becomes n # very fast when the difference of elements in a list is small but with a loss at space complexity def do_bucket_sort(nums: list) -> list: buckets = [] list_len = len(nums) nums_indx = 0 for i in range(list_len+1): buckets.append([]) for i in nums: buckets[i].append(i) buckets[i].sort() for bucket in buckets: for el in bucket: nums[nums_indx] = el nums_indx += 1 return nums def main(): example_list = [1, 2, 4, 3, 5] print(do_bucket_sort(example_list)) if __name__ == "__main__": main()
class Error(Exception): """Handles general exceptions.""" class AbilityScoreImprovementError(Error): """Handles ability score improvement errors.""" class AnthropometricCalculatorError(Error): """Handles anthropometric calculator errors.""" class BlueprintError(Error): """Handles an invalid seamstress error.""" class DieArgumentError(ValueError): """Handles an invalid die rolling argument.""" class FlagParserError(Error): """Handles an invalid flag format error.""" class SeamstressError(Error): """Handles an invalid seamstress error."""
class A: def __repr__(self): True a = A() print(a.__repr__()) # ok print(repr(a)) # fail
# Declaring a list L = [1, "a" , "string" , 1+2] print (L) L.append(6) print (L) L.pop() print (L) print (L[1])
def func(a, b, *args, **kwargs): print(a, b) for arg in args: print(arg) for key, val in kwargs.items(): print (key, val) def func2(a, b, c=30, d=40, **kwargs): print(a, b) print(c, d) for key, val in kwargs.items(): print (key, val) def func3(a, b, c=100, d=200): print(a, b) print(c, d) a = 1 b = 2 c = 3 d = 4 e = {'k1': 10, 'k2':20} print ('w/o args/kwargs') func(a, b) print ('w/ args') func(a, b, (c, d)) print ('w/ *args and kwargs') func(a, b, *(c, d), e) print ('w/ *args and **kwargs') func(a, b, *(c, d), **e) print ('w/ **kwargs') f = {'d': d, 'c': c} f.update(e) func(a, b, **f) print ('func2 w/ **kwargs') f = {'d': d, 'c': c} f.update(e) func2(a, b, **f) print ('func2 w/ **kwargs') #f = {'d': d, 'c': c} f = {} f.update(e) func2(a, b, **f) print ('func3 w/ ') func3(a, b, c, d, **{})
__title__ = 'hrflow' __description__ = 'Python hrflow.ai API package' __url__ = 'https://github.com/hrflow/python-hrflow-api' __version__ = '1.9.0' __author__ = 'HrFlow.ai' __author_email__ = '[email protected]' __license__ = 'MIT'
dummy_registry = {} def dummy_register(name, value): dummy_registry[name] = value return value
# 695. 岛屿的最大面积 # 给定一个包含了一些 0 和 1的非空二维数组 grid , 一个 岛屿 是由四个方向 (水平或垂直) 的 1 (代表土地) 构成的组合。你可以假设二维矩阵的四个边缘都被水包围着。 # 找到给定的二维数组中最大的岛屿面积。(如果没有岛屿,则返回面积为0。) # 示例 1: # [[0,0,1,0,0,0,0,1,0,0,0,0,0], # [0,0,0,0,0,0,0,1,1,1,0,0,0], # [0,1,1,0,1,0,0,0,0,0,0,0,0], # [0,1,0,0,1,1,0,0,1,0,1,0,0], # [0,1,0,0,1,1,0,0,1,1,1,0,0], # [0,0,0,0,0,0,0,0,0,0,1,0,0], # [0,0,0,0,0,0,0,1,1,1,0,0,0], # [0,0,0,0,0,0,0,1,1,0,0,0,0]] # 对于上面这个给定矩阵应返回 6。注意答案不应该是11,因为岛屿只能包含水平或垂直的四个方向的‘1’。 # 示例 2: # [[0,0,0,0,0,0,0,0]] # 对于上面这个给定的矩阵, 返回 0。 # 注意: 给定的矩阵grid 的长度和宽度都不超过 50。 class Solution: def maxAreaOfIsland(self, grid: List[List[int]]) -> int: leni = len(grid) if leni == 0: return 0 lenj = len(grid[0]) if lenj == 0: return 0 self.rev = 0 def dfs(grid, i, j, temp): if i < 0 or i >= leni or j < 0 or j >= lenj: return 0 if grid[i][j] == 0: return 0 grid[i][j] = 0 temp = temp+1 one = dfs(grid, i+1, j, 0) two = dfs(grid, i-1, j, 0) three = dfs(grid, i, j-1, 0) four = dfs(grid, i, j+1, 0) temp = one+two+three+four+temp self.rev = max(self.rev, temp) return temp for i in range(leni): for j in range(lenj): if grid[i][j] == 1: dfs(grid, i, j, 0) return self.rev
# # Copyright (C) 2020 Square, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except # in compliance with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software distributed under the License # is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express # or implied. See the License for the specific language governing permissions and limitations under # the License. # Description: # Common utilities to make code a little cleaner. def _java_executable(ctx): java_home = ctx.os.environ.get("JAVA_HOME") if java_home != None: java = ctx.path(java_home + "/bin/java") return java elif ctx.which("java") != None: return ctx.which("java") fail("Cannot obtain java binary") def _exec_jar(root, label): return "%s/../%s/%s/%s" % (root, label.workspace_name, label.package, label.name) exec = struct( java_bin = _java_executable, exec_jar = _exec_jar, )
# -*- coding: utf-8 -*- # @Author: jpch89 # @Email: [email protected] # @Date: 2018-07-12 21:01:08 # @Last Modified by: jpch89 # @Last Modified time: 2018-07-12 21:07:53 people = 30 cars = 40 trucks = 15 if cars > people: print ("We should take the cars.") elif cars < people: print("We should not take the cars.") else: print("We can't decide.") if trucks > cars: print("That's too many trucks.") elif trucks < cars: print("Maybe we could take the trucks.") else: print("We still can't decide.") if people > trucks: print("Alright, let's just take the trucks.") else: print("Fine, let's stay home then.")
# A base sentence model for storing information related to sentences # Created by: Mark Mott class Sentence: # A single underline denotes a private method/variable. # Default is the property category def __init__(self, sentence, subject, category='Property'): self.setsentence(sentence) self.setsubject(subject) self.setcategory(category) def setsentence(self,sentence): self._sentence = sentence def getsentence(self): return self._sentence def setsubject(self,subject): self._subject = subject def getsubject(self): return self._subject def setcategory(self,category): self._category = category def getcategory(self): return self._category # Allows for Sentence models to better be turned into json def toString(self): out = { "sentence": self.getsentence(), "subject": self.getsubject(), "category": self.getcategory() } return out
# Practice debug statement print("Hello Python") a = 10 b = 5 c = a + b print("Hello Python2") print(c) c = 99 print("Hello Python3:%d", c) ##################################################### # ** operator has high precedences than * print(2**3*4) print(4*2**3) def changeVal(x): x += 2; ##################################################### def circleArea(r): pi = 3.14 area = pi * r**2 return area x = 1 changeVal(x) print(x) r = 10 area = circleArea(r) # print("Circle area=", area, " Second area", sep="|") print("Circle area=%f" % area) print ('1:\t|{0:>10},'.format('wangyu'))
_base_ = [ '../../_base_/datasets/query_aware/few_shot_coco.py', '../../_base_/schedules/schedule.py', '../attention-rpn_r50_c4.py', '../../_base_/default_runtime.py' ] # classes splits are predefined in FewShotCocoDataset # FewShotCocoDefaultDataset predefine ann_cfg for model reproducibility num_support_ways = 2 num_support_shots = 9 data = dict( train=dict( num_support_ways=num_support_ways, num_support_shots=num_support_shots, repeat_times=50, dataset=dict( type='FewShotCocoDefaultDataset', ann_cfg=[dict(method='Attention_RPN', setting='10SHOT')], num_novel_shots=10, classes='NOVEL_CLASSES', min_bbox_area=0, instance_wise=False)), val=dict(classes='NOVEL_CLASSES'), test=dict(classes='NOVEL_CLASSES'), model_init=dict(classes='NOVEL_CLASSES')) evaluation = dict(interval=3000) checkpoint_config = dict(interval=3000) optimizer = dict( lr=0.001, momentum=0.9, paramwise_cfg=dict(custom_keys={'roi_head.bbox_head': dict(lr_mult=2.0)})) lr_config = dict( warmup_iters=200, warmup_ratio=0.1, step=[ 2000, 3000, ]) log_config = dict(interval=10) runner = dict(max_iters=3000) # load_from = 'path of base training model' load_from = 'work_dirs/attention-rpn_r50_c4_4xb2_coco_base-training/latest.pth' model = dict( frozen_parameters=['backbone'], rpn_head=dict( num_support_ways=num_support_ways, num_support_shots=num_support_shots, ), roi_head=dict( num_support_ways=num_support_ways, num_support_shots=num_support_shots, ), )
"""Top-level package for CT Parsers.""" __author__ = """Nick Cannariato""" __email__ = '[email protected]' __version__ = '0.1.0'
TRAINING_FILE = "../data/train_folds5.csv" MODEL_OUTPUT = "../models/" LABEL="rating_y" BEST_FEATURES = ['rating_x', 'user_id', 'members', 'episodes', 'Action', 'Drama', 'Fantasy', 'Hentai', 'Romance', 'Adventure', 'Comedy', 'School', 'Shounen', 'Supernatural', 'Kids', 'Mecha', 'Sci-Fi', 'SliceofLife', 'type_OVA', 'Demons', 'Ecchi', 'Harem', 'Horror', 'Magic', 'Mystery', 'Parody', 'Seinen', 'Shoujo', 'SuperPower', 'type_Movie', 'type_Special', 'type_TV' ] WORST_FEATURES =['Dementia', 'Game', 'Historical', 'MartialArts', 'Military', 'Music', 'Psychological', 'ShounenAi', 'Space', 'Sports', 'type_ONA', 'Josei', 'Police', 'Samurai', 'ShoujoAi', 'Thriller', 'Vampire', 'Yaoi', 'Yuri', 'type_Music', 'Cars' ] WORST_FEATURES_2 =['Dementia', 'Game', 'Historical', 'MartialArts', 'Military', 'Music', 'Psychological', 'ShounenAi', 'Space', 'Sports', 'type_ONA', 'Josei', 'Police', 'Samurai', 'ShoujoAi', 'Thriller', 'Vampire', 'Yaoi', 'Yuri', 'type_Music', 'Cars', 'Action', 'Drama', 'Fantasy', 'Hentai', 'Romance', 'Adventure', 'Comedy', 'School', 'Shounen', 'Supernatural', 'Kids', 'Mecha', 'Sci-Fi', 'SliceofLife', 'type_OVA', 'Demons', 'Ecchi', 'Harem', 'Horror', 'Magic', 'Mystery', 'Parody', 'Seinen', 'Shoujo', 'SuperPower', 'type_Movie', 'type_Special', 'type_TV' ]
def setup_subparser(subparsers, parents, python_version): parser = subparsers.add_parser( python_version, description="""This sub command generates IDE and build files for Python {} """.format( "3.6" if python_version == "python36" else "3.7" ), parents=parents, ) parser.set_defaults(language=python_version) parser.add_argument( "-d", "--use-docker", action="store_true", help="""Use docker for python platform-independent packaging. This is highly recommended unless you are experienced with cross-platform Python packaging.""", ) return parser def setup_subparser_python36(subparsers, parents): return setup_subparser(subparsers, parents, "python36") def setup_subparser_python37(subparsers, parents): return setup_subparser(subparsers, parents, "python37")
f = 1 print('calculando fatorial') n = int(input('digite um número: ')) print(f'{n}! = ', end='') for c in range(n, 0, -1): print(c, end='') print(' x ' if c > 1 else ' = ', end='') f = c * f print(f)
def find_smallest_element_index(array): smallest_elem_index, smallest_elem = 0, array[0] for index in range(1,len(array)): if(smallest_elem >= array[index]): smallest_elem_index = index return smallest_elem_index #changes the original array and puts the elements in sorted order (ascending) def selection_sort(array): sorted_array = [] for i in range(len(array)): smallest_elem_index = find_smallest_element_index(array) sorted_array.append(array.pop(smallest_elem_index)) return sorted_array print(selection_sort([-1,2,0,-3,6]))
"""Toyota Connected Services API constants.""" # URL ATTRIBUTE NAMES BASE_URL = "base_url" BASE_URL_CARS = "base_url_cars" ENDPOINT_AUTH = "auth_endpoint" TOKEN_VALID_URL = "auth_valid" # REGIONS SUPPORTED_REGIONS = { "europe": { TOKEN_VALID_URL: "https://ssoms.toyota-europe.com/isTokenValid", BASE_URL: "https://myt-agg.toyota-europe.com/cma/api", BASE_URL_CARS: "https://cpb2cs.toyota-europe.com", ENDPOINT_AUTH: "https://ssoms.toyota-europe.com/authenticate", } } # LOGIN USERNAME = "username" PASSWORD = "password" # So we don't have to test the token if multiple endpoints is requested at the same time. TOKEN_DURATION = 900 TOKEN_LENGTH = 114 # JSON ATTRIBUTES TOKEN = "token" UUID = "uuid" CUSTOMERPROFILE = "customerProfile" FUEL = "fuel" MILEAGE = "mileage" TYPE = "type" VALUE = "value" UNIT = "unit" VEHICLE_INFO = "VehicleInfo" ACQUISITIONDATE = "AcquisitionDatetime" CHARGE_INFO = "ChargeInfo" HVAC = "RemoteHvacInfo" BUCKET = "bucket" DAYOFYEAR = "dayOfYear" PERIODE_START = "periode_start" DATE = "date" DATA = "data" SUMMARY = "summary" HISTOGRAM = "histogram" DAY = "day" WEEK = "week" ISOWEEK = "isoweek" MONTH = "month" YEAR = "year" HOOD = "hood" DOORS = "doors" WINDOWS = "windows" LIGHTS = "lamps" KEY = "key" CLOSED = "closed" LOCKED = "locked" WARNING = "warning" STATE = "state" OFF = "off" INCAR = "inCar" METRIC = "metric" IMPERIAL = "imperial" IMPERIAL_LITERS = "imperial_liters" # DATE FORMATS DATE_FORMAT_YEAR = "YYYY" DATE_FORMAT = "YYYY-MM-DD" # HTTP TIMEOUT = 15 HTTP_OK = 200 HTTP_NO_CONTENT = 204 HTTP_UNAUTHORIZED = 401 HTTP_INTERNAL = 500 HTTP_SERVICE_UNAVAILABLE = 503 RETURNED_BAD_REQUEST = "bad_request" TME_B2C_ERR_CPSERVICES = "TME_B2C_ERR_CPSERVICES_GET_FAILURE" INTERVAL_SUPPORTED = ["day", "week", "isoweek", "month", "year"] BASE_HEADERS = { "Content-Type": "application/json;charset=UTF-8", "Accept": "application/json, text/plain, */*", "Sec-Fetch-Dest": "empty", "X-TME-BRAND": "TOYOTA", }
# A program that reads in students names # until the user enters a blank # and then prints them all out again # the program prints out all the studens names in a neat way students = [] Firstname = input("Enter Firstname (blank to quit): ").strip() while Firstname != "": student = {} student ["Firstname"] = Firstname lastname = input("Enter lastname: ").strip() student["lastname"] = lastname students.append(student) #next student Firstname = input("Enter Firstname of next (blank to quit): ").strip() print ("here are the students you entered:") for currentStudent in students: print ("{} {}".format(currentStudent["Firstname"],currentStudent ["lastname"])) #Reference: Andrew Beatty tutorial on moodle
n1 = float(input('um distância em metros:')) cm = n1 * 100 mm = n1 * 1000 print ('A medida de 3.0m corresponde a:') print ('{:.0f} metros é igual a {:.0f} centímetros e a {:.0f} milimetros'.format(n1,cm,mm))
class Command: command = "template" # command name must be the same as the file name but can have spacial characters description = "description of command" argsRequired = 1 # number of arguments needed for command usage = "<command>" # a usage example of required arguments examples = [{ 'run': "template", # what user runs 'result': "a template" # the response of the bot }] synonyms = ["tmp"] # any synonyms that will also trigger command [accepts regular expressions] async def call(self, package): # what happens once the command is executed pass
# -*- coding: utf-8 -*- """ ASCII canvas ASCII canvas module for drawing in console using ASCII chars ASCII canvas supports the next objects: - Point - Line - Rectangle - Nine-Patch Rectangle - Ellipse - Text And also supports Style for all these objects. The Style includes symbol, foreground color, background color and font style. Thereby colored printing to terminal is supported. """ __title__ = 'asciicanvas' __version__ = '0.0.3' __author__ = 'Dmitry Alimov' __license__ = 'MIT'
''' Here is a basic example to plot a signal from an lcm message. In this example, the channel is POSE_BODY. The X coordinate is the message timestamp in microseconds, and the Y value is pos[0], or the first value of the pos array. Note, msg is a pre-defined variable that you must use in order for this to work. When you define a signal, the msg variable is used to record the attribute lookups that are required to extract the signal data from the lcm message in the future. ''' print(dir()) print(globals()) print(locals()) position_names = [ "hip_roll_left", "hip_roll_right", "hip_yaw_left", "hip_yaw_right", "hip_pitch_left", "hip_pitch_right", "knee_left", "knee_right", "toe_left", "toe_right"] velocity_names = [ "hip_roll_leftdot", "hip_roll_rightdot", "hip_yaw_leftdot", "hip_yaw_rightdot", "hip_pitch_leftdot", "hip_pitch_rightdot", "knee_leftdot", "knee_rightdot", "toe_leftdot", "toe_rightdot"] effort_names = [ "hip_roll_left_motor", "hip_roll_right_motor", "hip_yaw_left_motor", "hip_yaw_right_motor", "hip_pitch_left_motor", "hip_pitch_right_motor", "knee_left_motor", "knee_right_motor", "toe_left_motor", "toe_right_motor"] pos_names = msg.position_names vel_names = msg.velocity_names eff_names = msg.effort_names addPlot() addSignals('CASSIE_STATE_SIMULATION', msg.utime, msg.position, position_names, keyLookup=pos_names) # you can assign the plot to a variable and reference it later p=addPlot() addSignals('CASSIE_STATE_SIMULATION', msg.utime, msg.velocity, velocity_names, keyLookup=vel_names, plot=p) p3 = addPlot() addSignals('CASSIE_INPUT', msg.utime, msg.efforts, effort_names, keyLookup=eff_names, plot=p3)
# -*- coding: utf-8 -*- """Exceptions for bkpaas_auth module """ class ServiceError(Exception): """Login or Token service is not available""" class InvalidSkeyError(Exception): """Invalid uin/skey given""" class InvalidTokenCredentialsError(Exception): """When invalid credentials are given when exchange access token"""
# 001110010 prev = 0 cur = 0 # 0 01110010 prev = 0 cur = 1 # 0 0 1110010 prev = 0 cur = 2 # 00 1 110010 prev = 2 cur = 1 01 # 001 1 10010 prev = 2 cur = 2 0011 # 0011 1 0010 prev = 2 cur = 3 # 00111 0 010 prev = 3 cur = 1 10 # 001110 0 10 prev = 3 cur = 2 1100 # 0011100 1 0 prev = 2 cur = 1 01 # 00111001 0 prev = 1 cur = 1 10 # https://www.polarxiong.com/archives/LeetCode-696-count-binary-substrings.html class Solution: def countBinarySubstrings(self, s: str) -> int: prevlen, curlen, ans = 0, 0, 0 for i in range(len(s)): if s[i] == s[i-1]: curlen += 1 else: prevlen = curlen curlen = 1 if prevlen >= curlen: ans += 1 return ans
# -*- coding: utf-8 -*- """ Created on Wed Mar 16 09:57:15 2016 @author: Mathew Topper """ #pylint: disable=C0103,W0622,R0903 class abstractclassmethod(classmethod): """Not that to make this work, you should place cls() in the abstract definition""" __isabstractmethod__ = True def __init__(self, callable): callable.__isabstractmethod__ = True super(abstractclassmethod, self).__init__(callable)
""" import os import bonobo import logging from dotenv import load_dotenv from judah.utils.assets import get_asset_path from judah.utils.logging import setup_rotating_file_logger load_dotenv() # Assuming you have an BBC ETL service, a rest_api_to_db child service and a number of microservices # each corresponding to a given dataset from app.services.rte.rest_api_to_db import BBC_REST_API_TO_DB_CONTROLLERS def get_graph(**options): ''' This function builds the graph that needs to be executed. :return: bonobo.Graph ''' graph = bonobo.Graph() for controller in BBC_REST_API_TO_DB_CONTROLLERS: graph.add_chain( controller.extract, controller.transform, controller.load, ) return graph def get_services(**options): '''Service Dependency injector''' return {} if __name__ == '__main__': logger = logging.getLogger() setup_rotating_file_logger(file_path=get_asset_path('error.log'), logger=logger) logging.disable(getattr(logging, os.getenv('LOGGING_LEVEL_DISABLE', 'NOTSET'))) parser = bonobo.get_argument_parser() with bonobo.parse_args(parser) as options: bonobo.run( get_graph(**options), services=get_services(**options) ) """
class GuidanceRejectionException(Exception): _MSG = "Unit tests should not write files unless they clean them up too." def __init__(self): super(GuidanceRejectionException, self).__init__(GuidanceRejectionException._MSG)
equipmentMultipliers = [ {"hp": 10}, {"hp": 20}, {"hp": 30}, {"hp": 40}, {"sp": 10}, {"sp": 20}, {"sp": 30}, {"sp": 40}, {"tp": 2}, {"tp": 4}, {"tp": 6}, {"tp": 8}, {"atk": 10}, {"atk": 20}, {"atk": 30}, {"atk": 40}, {"def": 10}, {"def": 20}, {"def": 30}, {"def": 40}, {"mag": 10}, {"mag": 20}, {"mag": 30}, {"mag": 40}, {"mnd": 10}, {"mnd": 20}, {"mnd": 30}, {"mnd": 40}, {"spd": 10}, {"spd": 20}, {"spd": 30}, {"spd": 40}, {"eva": 10}, {"eva": 20}, {"eva": 30}, {"eva": 40}, {"mnd": 8, "ntr": 36}, {"rec": 4, "ntr": 48}, {"def": 6, "cld": 48}, {"atk": 10, "mag": 10, "fir": 48}, {"fir": 80, "cld": 80}, {"fir": 128}, {"wnd": 128}, {"cld": 128}, {"ntr": 100, "rec": 8}, {"mys": 128}, {"spi": 128}, {"psn": 20}, {"par": 20}, {"sil": 20}, {"dth": 20}, {"dbf": 20}, {"rec": 4}, {"spd": 12, "eva": 12, "wnd": 48, "sil": 12}, {"sp": 12, "atk": 24, "rec": 2}, {"hp": 12, "def": 12, "mnd": 12, "rec": 4}, {"hp": 16, "sp": 16, "mag": 16, "tp": 3, "dbf": 10}, {"tp": 4, "rec": 6, "mnd": 24}, {"mag": 16, "mnd": 16, "spd": 16, "eva": 16, "mys": 48}, {"sp": 16, "mnd": 16, "spi": 48, "dth": 16}, {"hp": 24, "rec": 4, "psn": 6, "par": 6, "sil": 6}, {"atk": 30, "def": 30, "mag": 30, "mnd": 30, "spd": 30, "eva": 30}, {"atk": 16, "mag": 24, "spd": 10, "eva": 10, "rec": 4}, {"hp": 12, "sp": 12, "mag": 12, "mnd": 12, "psn": 12, "dbf": 12}, {"atk": 16, "def": 16, "mag": 16, "mnd": 16, "spd": 16, "eva": 16, "psn": 6, "par": 6, "sil": 6, "dth": 6, "dbf": 6}, {"hp": 12, "def": 32, "wnd": 66, "rec": 2}, {"atk": 30, "wnd": 59, "cld": 59, "sil": 16}, {"spd": 24, "eva": 20, "fir": 32, "cld": 32, "wnd": 32, "ntr": 32, "mys": 32, "spi": 32}, {"fir": 48, "cld": 48, "wnd": 48, "ntr": 48, "mys": 48, "spi": 48, "psn": 12, "par": 12, "sil": 12, "dth": 12, "dbf": 12}, {"hp": 30, "mnd": 30, "rec": 6, "ntr": 50, "wnd": 50, "spi": 50, "psn": 16}, {"mag": 30, "rec": 4, "mys": 60, "sil": 10, "dth": 10}, {"sp": 16, "atk": 36, "rec": 4, "fir": 32, "cld": 32, "wnd": 32, "ntr": 32, "mys": 32, "spi": 32}, {"atk": 36, "cld": 80, "dbf": 14}, {"sp": 20, "def": 20, "mnd": 20, "fir": 48, "cld": 60, "spi": 60}, {"tp": 4, "atk": 20, "def": 20, "mag": 20, "mnd": 20, "spd": 20, "eva": 20, "psn": 8, "par": 8, "sil": 8, "dth": 8, "dbf": 8}, {"atk": 38, "mag": 38}, {"rec": 16}, {"sp": 10, "mnd": 60, "rec": 10, "mys": 72, "spi": 72}, {"sp": 16, "def": 50, "mnd": 50}, {"hp": 40, "atk": 40, "mnd": 40, "spd": 40, "tp": 2, "rec": 4}, {"atk": 64}, {"psn": 24, "par": 24, "sil": 24, "dth": 24, "dbf": 24}, {"atk": 28, "mag": 28, "fir": 44, "cld": 44, "wnd": 44, "ntr": 44}, {"hp": 24, "def": 48, "fir": 60, "dbf": 12}, {"atk": 48, "def": 48, "spd": 40, "par": 15, "dth": 15}, {"atk": 120, "mag": 120}, {"def": 50, "mnd": 40, "fir": 72, "cld": 72, "wnd": 72, "ntr": 72, "mys": 72, "spi": 72}, {"hp": 40, "atk": 48, "def": 48, "spd": 30, "eva": 30, "psn": 16, "par": 16, "rec": 6}, {"def": 36, "mnd": 36, "psn": 20, "par": 20, "sil": 20, "dth": 20, "dbf": 20}, {"hp": 60, "def": 60, "mnd": 60, "rec": 6}, {"atk": 68, "spd": 88, "cld": 128, "par": 24}, {"sp": 24, "mag": 60, "mys": 80, "spi": 80, "rec": 12}, {"atk": 96, "mag": 72}, {"hp": 30, "sp": 30, "rec": 6, "atk": 40, "def": 40, "mag": 40, "mnd": 40, "spd": 40, "eva": 40, "fir": 48, "cld": 48, "wnd": 48, "ntr": 48, "mys": 48, "spi": 48, "psn": 12, "par": 12, "sil": 12, "dth": 12, "dbf": 12}, {"tp": 10, "rec": 10, "fir": 100, "cld": 100, "wnd": 100, "ntr": 100, "mys": 100, "spi": 100}, {"sp": 50, "mag": 50, "mnd": 50, "fir": 80, "cld": 80, "wnd": 80, "ntr": 80, "sil": 20}, {"atk": 72, "def": 72, "mnd": 72, "spd": 72}, {"atk": 50, "tp": 12, "wnd": 144, "par": 36}, {"def": 88, "mnd": 88, "rec": 6}, {"atk": 100, "def": 100, "mag": 100, "mnd": 100, "spd": 100, "eva": 100}, {"atk": 88}, {"atk": 124}, {"atk": 168}, {"def": 88}, {"def": 124}, {"def": 168}, {"mag": 88}, {"mag": 124}, {"mag": 168}, {"mnd": 88}, {"mnd": 124}, {"mnd": 168}, {"spd": 88}, {"spd": 124}, {"spd": 168}, {"hp": 88}, {"hp": 124}, {"hp": 168}, {"sp": 88}, {"sp": 124}, {"sp": 168}, {"def": 100, "mnd": 100}, {"atk": 100, "def": 100}, {"atk": 100, "mag": 100}, {"hp": 100, "sp": 100, "rec": 12, "tp": 12}, {"def": 64, "mnd": 64, "fir": 80, "cld": 80, "wnd": 80, "ntr": 80, "mys": 80, "spi": 80}, {"def": 60, "mnd": 60, "fir": 256, "sil": 50}, {"atk": 36, "def": 36, "mag": 36, "mnd": 36, "spd": 36, "eva": 36, "cld": 256, "rec": 4}, {"sp": 72, "mag": 72, "spd": 72, "wnd": 256}, {"ntr": 256, "psn": 50, "dth": 50, "tp": 24}, {"atk": 120, "def": 64, "spd": 64, "mys": 256}, {"atk": 120, "mag": 64, "mnd": 64, "spi": 256}, {"tp": 13, "rec": 13, "psn": 13, "par": 13, "sil": 13, "dth": 13, "dbf": 13}, {"mag": 96, "mnd": 96, "rec": 16, "dbf": 16, "tp": 16}, {"mag": 60, "mnd": 100, "spd": 144}, {"def": 80, "mnd": 144, "rec": 10, "fir": 96, "cld": 96, "wnd": 96, "ntr": 96, "mys": 96, "spi": 96}, {"atk": 172, "mag": 172}, {"hp": 100, "atk": 100, "def": 100, "spd": 100, "par": 15, "dbf": 15}, {"hp": 128, "sp": 128, "fir": 128, "cld": 128, "wnd": 128, "ntr": 128, "mys": 128, "spi": 128}, {"atk": 360}, {"rec": 40}, {"atk": 200, "mag": 200, "mnd": 200, "sp": 100, "spd": 100, "wnd": 128, "ntr": 128, "rec": 16, "psn": 18, "par": 18, "sil": 18}, {"atk": 100, "def": 140, "mag": 180, "mnd": 220, "psn": 30, "par": 30, "dth": 30}, {"atk": 150, "def": 150, "mag": 150, "mnd": 150, "spd": 150, "eva": 150, "fir": 60, "cld": 60, "wnd": 60, "ntr": 60, "mys": 60, "spi": 60, "psn": 15, "par": 15, "sil": 15, "dth": 15, "dbf": 15}, {"fir": 256, "cld": 256, "wnd": 256, "ntr": 256, "mys": 256, "spi": 256}, {"mag": 150, "mnd": 300, "mys": 300, "dth": 50}, {"hp": 240, "atk": 240, "spd": 240, "tp": 30, "psn": 16, "par": 16, "sil": 16, "dth": 16, "dbf": 16}, {"hp": 80, "sp": 100, "mag": 350, "rec": 24, "fir": 128, "cld": 128, "wnd": 128, "ntr": 128, "dth": 50, "dbf": 50}, {"def": 400, "mnd": 400}, {"hp": 300, "sp": 300, "atk": 300, "def": 300, "mag": 300, "mnd": 300, "spd": 300, "eva": 300, "fir": 100, "cld": 100, "wnd": 100, "ntr": 100, "mys": 100, "spi": 100, "psn": 20, "par": 20, "sil": 20, "dth": 20, "dbf": 20} ]
# https://www.codechef.com/problems/MSNSADM1 for T in range(int(input())): n,points=int(input()),0 scores,fouls=list(map(int,input().split())),list(map(int,input().split())) for i in range(n): if((scores[i]*20-fouls[i]*10)>points): points=scores[i]*20-fouls[i]*10 print(max(0,points))
#!/usr/bin/python3.6 def getPathToDataExchangeFolder(): return 'src/backend/dataExchange/' def getPathToLogFolder(): return 'src/backend/log/' def getPathToDataOutput(): return 'src/backend/dataOutput/' def getPathOfMainJsonFile(artifact_name): return getPathToDataExchangeFolder() + artifact_name + '.json' def getPathOfNetworkJsonFile(artifact_name): return getPathToDataExchangeFolder() + artifact_name + '_network.json' def getPathOfNeighborBarchart(artifact_name): return getPathToDataExchangeFolder() + artifact_name + '_neighbor_barchart.json' def getPathOfSankeyDiagram(artifact_name): return getPathToDataExchangeFolder() + artifact_name + '_sankey_diagram.json' def getPathOfEntityOutputCSVFile(artifact_name): return getPathToDataOutput() + artifact_name + '_entity_output.csv' def getNodeId(artifact_name, counter): return artifact_name + 'entity' + str(counter)
def process_row_item(row_item): if hasattr(row_item, 'strip'): row_item = row_item.strip() return row_item def to_table_format(data_list): header = [] rows = [] for row in data_list: header = row.keys() rows.append(list(map(process_row_item, row.values()))) return header, rows
#class common parameters #put all parameters in there #import module to baseline.py class default_data: def __init__(self): #whoever is running this code make sure you change the name to your first name self.user = "" #not needed, mainly to avoid file name conflicts self.numLoops = 1 # Game scenario self.scenario = 'rocket_basic' self.config_file_path = "scenarios/"+self.scenario+".cfg" # Q-learning settings self.epochs = 20 self.learning_rate = 0.00025 self.discount_factor = 0.99 self.learning_steps_per_epoch = 2000 self.replay_memory_size = 10000 # NN learning settings self.batch_size = 64 # Training regime self.test_episodes_per_epoch = 100 # Other parameters self.frame_repeat = 12 self.resolution = (30, 45) self.episodes_to_watch = 10 self.save_model = True self.load_model = False self.skip_learning = False self.skip_evaluation = True #added line self.game_window_visible = True self.model_savefile = "./model-doom.pth" self.model_loadfile = "./model-doom.pth" self.numEvaluations = 5 # Look at the PTH files you are trying to evaluate self.eval_epoch = [1,5,10,15,20] self.model_loadfile = "model_health_gathering_epoch_" #name structure of the pth files. Should be entire filename without the epoch number and self.model_abs_path = [] x = 24 while x <= 28: self.model_abs_path.append("./models/model_health_gathering_epochs_20_Ethan_OGNET_index_"+str(x)+"/"+self.model_loadfile) x+=1
n = float(input()) i = 0 for i in range(i, 100, 1): print('N[{}] = {:.4f}'.format(i, n)) n = (n / 2)
class Solution: def toLowerCase(self, str): """ :type str: str :rtype: str """ return str.lower() input = "ABCdefG" p = Solution() print(p.toLowerCase(input))
"""Configuration information for PDB2PQR.""" # PDB2PQR version number. VERSION = "3.0" # How to format PDB2PQR title in output TITLE_FORMAT_STRING = "PDB2PQR v{version} - biomolecular structure conversion software" # Citation strings for PDB2PQR CITATIONS = [("Please cite: Jurrus E, et al. Improvements to the APBS biomolecular " "solvation software suite. Protein Sci 27 112-128 (2018)."), ("Please cite: Dolinsky TJ, et al. PDB2PQR: expanding and upgrading " "automated preparation of biomolecular structures for molecular simulations. " "Nucleic Acids Res 35 W522-W525 (2007).")] # Standard force field names FORCE_FIELDS = ["amber", "charmm", "parse", "tyl06", "peoepb", "swanson"] # Standard amino acid names AA_NAMES = ["ALA", "ARG", "ASH", "ASN", "ASP", "CYS", "CYM", "GLN", "GLU", "GLH", "GLY", "HIS", "HID", "HIE", "HIP", "HSD", "HSE", "HSP", "ILE", "LEU", "LYS", "LYN", "MET", "PHE", "PRO", "SER", "THR", "TRP", "TYR", "TYM", "VAL"] # Standard nucleic acid names NA_NAMES = ["A", "A5", "A3", "C", "C5", "C3", "G", "G5", "G3", "T", "T5", "T3", "U", "U5", "U3", "RA", "RG", "RC", "RU", "DA", "DG", "DC", "DT"] # Standard backbone atom names BACKBONE = ["N", "CA", "C", "O", "O2", "HA", "HN", "H", "tN"] # A small number used by some math routines. SMALL_NUMBER = 1.0e-7 # A number of unknown origin used in dihedral angle calculations DIHEDRAL_WTF = 57.2958 # The start of warning strings to be filtered. FILTER_WARNINGS = ["Skipped atom during water optimization", "The best donorH was not picked", "Multiple occupancies found"] # The number of times one of the warning strings should be printed before # supressing further output. FILTER_WARNINGS_LIMIT = 20 # Expected location for topology definition file TOPOLOGY_DEF_PATH = "TOPOLOGY.xml" # Expected location for amino acid topology definition file AA_DEF_PATH = "AA.xml" # Expected location for nucleic acid topology definition file NA_DEF_PATH = "NA.xml" # Expected location for hydrogens topology definition file HYD_DEF_PATH = "HYDROGENS.xml" # Expected location for topology patch definition file PATCH_DEF_PATH = "PATCHES.xml" # Number of angle steps to scan when debumping DEBUMP_ANGLE_STEPS = 72 # Size of debumping step DEBUMP_ANGLE_STEP_SIZE = float(360 // DEBUMP_ANGLE_STEPS) # Debump angle test DEBUMP_ANGLE_TEST_COUNT = 10 # Size of cells used for neighbor lookups CELL_SIZE = 2 # Debumping hydrogen size BUMP_HYDROGEN_SIZE = 0.5 # Debumping heavy atom size BUMP_HEAVY_SIZE = 1.0 # Disulfide bond distance limit BONDED_SS_LIMIT = 2.5 # Peptide bond distance limit PEPTIDE_DIST = 1.7 # Limit on fraction of molecule missing before giving up on repairs REPAIR_LIMIT = 0.1 # Cutoff for A - D - H(D) hydrogen bond angle ANGLE_CUTOFF = 20.0 # Cutoff for H(D) to A hydrogen bond distance DIST_CUTOFF = 3.3
def solve(a,b): dict={} for i in range(max(a, 1), b): temp=factors(i) dict[sum(temp)/i]=dict.get(sum(temp)/i, [])+[i] return sum(j[0] for j in dict.values() if len(j)>1) def factors(n): res={1, n} for i in range(2, int(n**0.5)+1): if n%i==0: res.add(i) res.add(n//i) return res
# Local settings for WLM project. DEBUG = True TEMPLATE_DEBUG = DEBUG DEBUG_PROPAGATE_EXCEPTIONS = DEBUG ALLOWED_HOSTS = '*' ADMINS = ( #('Name', '[email protected]'), ) MANAGERS = ADMINS DATABASES = { 'default': { 'ENGINE': 'django.db.backends.mysql', 'NAME': '', 'USER': '', 'PASSWORD': '', 'HOST': '', 'PORT': '', } } GEOIP_PATH = '/usr/share/GeoIP/' SECRET_KEY = ''
# source: https://www.bilibili.com/video/av21540971/?p=23 def bubble_sort(alist): """bubble sort best: O(n) worst: O(n^2) stable """ n = len(alist) for j in range(n-1): count = 0 for i in range(n-1-j): if alist[i] > alist[i+1]: alist[i], alist[i+1] = alist[i+1], alist[i] count += 1 if 0 == count: return if __name__ == "__main__": li = [54, 26, 93, 17, 77, 31, 44, 55, 20] print(li) bubble_sort(li) print(li)
python = "Python" print("h " + python[3]) # Note: string indexing starts with 0 p_letter = python[0] print(p_letter)
n =int(input()) count = 1 for i in range(1, n+1): for j in range(1, i+1): print(count*count, end=" ") count+=1 print()
class Solution: def intersect(self, nums1: List[int], nums2: List[int]) -> List[int]: dic = {} ret = [] if len(nums1)<len(nums2): for i in nums2: if i not in dic: dic[i] = 0 dic[i] += 1 for j in nums1: if j in dic and dic[j]>0: dic[j]-=1 ret.append(j) else: for i in nums1: if i not in dic: dic[i] = 0 dic[i] += 1 for j in nums2: if j in dic and dic[j]>0: dic[j]-=1 ret.append(j) return ret
def merge_sort(arr): n = len(arr) if n > 1: mid = n//2 left = arr[0:mid] right = arr[mid:n] merge_sort(left) merge_sort(right) merge(left, right, arr) def merge(left, right, arr): i, j, k = 0, 0, 0 while i < len(left) and j < len(right): if left[i] <= right[j]: arr[k] = left[i] i += 1 else: arr[k] = right[j] j += 1 k += 1 if i == len(left): for item in right[j:]: arr[k] = item k += 1 else: for item in left[i:]: arr[k] = item k += 1 # number_list = [20, 18, 12, 8, 5, -2] # merge_sort(number_list) # print(number_list)
class Solution(object): def countGoodRectangles(self, rectangles): """ :type rectangles: List[List[int]] :rtype: int """ maxLen = 0 counter = 0 for rectangle in rectangles: # You can find the maximal square within a rectangle maximalSquare = min(rectangle[0], rectangle[1]) if maximalSquare > maxLen: maxLen = maximalSquare counter = 1 elif maximalSquare == maxLen: counter += 1 return counter
positive_count = 0 zero_count = 0 negative_count = 0 n = int(input().strip()) arr = [int(arr_temp) for arr_temp in input().strip().split(' ')] for num in arr: if num > 0: positive_count += 1 elif num == 0: zero_count += 1 else: negative_count += 1 print(positive_count / n) print(negative_count / n) print(zero_count / n)
class Colors: """ This is a class that helps with printing out colors to the terminal. """ BLUE = '\033[96m' PINK = '\033[95m' PURPLE = '\033[94m' GREEN = '\033[92m' YELLOW = '\033[93m' RED = '\033[91m' ENDC = '\033[0m' CLEAR = '\x1b[2J\x1b[H' def clear_screen(self): print(self.CLEAR, end="") def reset_color(self): print(self.ENDC, end="") def print_color(self, color_type, string, is_input=False): """ This is a factory method that will print text of a certain color. Parameters: color_type (string): One of the enums above or user supplied to print a certain color. string (string): The string that the user wants to print out. is_input (bool): Decides whether we print the string with a newline or not. Helpful for when we want the user to input a value on the same line of what we are printing. """ print(color_type, end="") if is_input: input(string) else: print(string) self.reset_color() def print_pink(self, string, is_input=False): self.print_color(self.PINK, string, is_input) def print_blue(self, string, is_input=False): self.print_color(self.BLUE, string, is_input) def print_purple(self, string, is_input=False): self.print_color(self.PURPLE, string, is_input) def print_green(self, string, is_input=False): self.print_color(self.GREEN, string, is_input) def print_yellow(self, string, is_input=False): self.print_color(self.YELLOW, string, is_input) def print_red(self, string, is_input=False): self.print_color(self.RED, string, is_input)
ERROR_CHAR = "\u274c" SUCCESS_CHAR = "\u2713" def missingConfigurationFile(): print( f"{ERROR_CHAR} nocpeasy.yml file does not exist, run `ocpeasy scaffold|init` first" ) def stageCreated(stageId: str, pathProject: str): print( f"{SUCCESS_CHAR} new OpenShift stage created ({stageId}) for project [{pathProject}]" ) def ocpeasyConfigFileUpdated(): print(f"{SUCCESS_CHAR} ocpeasy.yml file refreshed") def missingStage(): print(f"{ERROR_CHAR} stage doesn't exist") def ocpeasyStageAssetsGenerated(): print(f"{SUCCESS_CHAR} OpenShift assets generated") def ocBinaryMissingFromPath(): print(f"{ERROR_CHAR} oc is not properly installed")
# a Star topology centered on Z # D G J # \ | / # \ | / # E H K # \ | / # \ | / # F I L # \ | / # \ | / # A --- B --- C --------- Z -------- M --- N --- O # / | \ # / | \ # P S V # / | \ # / | \ # Q T W # / | \ # / | \ # R U X # topo = { 'A' : ['B'], 'B' : ['A', 'C'], 'C' : ['B', 'Z'], 'D' : ['E'], 'E' : ['D', 'F'], 'F' : ['E', 'Z'], 'G' : ['H'], 'H' : ['G', 'I'], 'I' : ['H', 'Z'], 'J' : ['K'], 'K' : ['J', 'L'], 'L' : ['K', 'Z'], 'M' : ['Z', 'N'], 'N' : ['M', 'O'], 'O' : ['N'], 'P' : ['Z', 'Q'], 'Q' : ['P', 'R'], 'R' : ['Q'], 'S' : ['Z', 'T'], 'T' : ['S', 'U'], 'U' : ['T'], 'V' : ['Z', 'W'], 'W' : ['V', 'X'], 'X' : ['W'], 'Z' : ['C', 'F', 'I', 'L', 'M', 'P', 'S', 'V']} ans = \ 'A:A0,B1,C2,D6,E5,F4,G6,H5,I4,J6,K5,L4,M4,N5,O6,P4,Q5,R6,S4,T5,U6,V4,W5,X6,Z3' + \ 'B:A1,B0,C1,D5,E4,F3,G5,H4,I3,J5,K4,L3,M3,N4,O5,P3,Q4,R5,S3,T4,U5,V3,W4,X5,Z2' + \ 'C:A2,B1,C0,D4,E3,F2,G4,H3,I2,J4,K3,L2,M2,N3,O4,P2,Q3,R4,S2,T3,U4,V2,W3,X4,Z1' + \ 'D:A6,B5,C4,D0,E1,F2,G6,H5,I4,J6,K5,L4,M4,N5,O6,P4,Q5,R6,S4,T5,U6,V4,W5,X6,Z3' + \ 'E:A5,B4,C3,D1,E0,F1,G5,H4,I3,J5,K4,L3,M3,N4,O5,P3,Q4,R5,S3,T4,U5,V3,W4,X5,Z2' + \ 'F:A4,B3,C2,D2,E1,F0,G4,H3,I2,J4,K3,L2,M2,N3,O4,P2,Q3,R4,S2,T3,U4,V2,W3,X4,Z1' + \ 'G:A6,B5,C4,D6,E5,F4,G0,H1,I2,J6,K5,L4,M4,N5,O6,P4,Q5,R6,S4,T5,U6,V4,W5,X6,Z3' + \ 'H:A5,B4,C3,D5,E4,F3,G1,H0,I1,J5,K4,L3,M3,N4,O5,P3,Q4,R5,S3,T4,U5,V3,W4,X5,Z2' + \ 'I:A4,B3,C2,D4,E3,F2,G2,H1,I0,J4,K3,L2,M2,N3,O4,P2,Q3,R4,S2,T3,U4,V2,W3,X4,Z1' + \ 'J:A6,B5,C4,D6,E5,F4,G6,H5,I4,J0,K1,L2,M4,N5,O6,P4,Q5,R6,S4,T5,U6,V4,W5,X6,Z3' + \ 'K:A5,B4,C3,D5,E4,F3,G5,H4,I3,J1,K0,L1,M3,N4,O5,P3,Q4,R5,S3,T4,U5,V3,W4,X5,Z2' + \ 'L:A4,B3,C2,D4,E3,F2,G4,H3,I2,J2,K1,L0,M2,N3,O4,P2,Q3,R4,S2,T3,U4,V2,W3,X4,Z1' + \ 'M:A4,B3,C2,D4,E3,F2,G4,H3,I2,J4,K3,L2,M0,N1,O2,P2,Q3,R4,S2,T3,U4,V2,W3,X4,Z1' + \ 'N:A5,B4,C3,D5,E4,F3,G5,H4,I3,J5,K4,L3,M1,N0,O1,P3,Q4,R5,S3,T4,U5,V3,W4,X5,Z2' + \ 'O:A6,B5,C4,D6,E5,F4,G6,H5,I4,J6,K5,L4,M2,N1,O0,P4,Q5,R6,S4,T5,U6,V4,W5,X6,Z3' + \ 'P:A4,B3,C2,D4,E3,F2,G4,H3,I2,J4,K3,L2,M2,N3,O4,P0,Q1,R2,S2,T3,U4,V2,W3,X4,Z1' + \ 'Q:A5,B4,C3,D5,E4,F3,G5,H4,I3,J5,K4,L3,M3,N4,O5,P1,Q0,R1,S3,T4,U5,V3,W4,X5,Z2' + \ 'R:A6,B5,C4,D6,E5,F4,G6,H5,I4,J6,K5,L4,M4,N5,O6,P2,Q1,R0,S4,T5,U6,V4,W5,X6,Z3' + \ 'S:A4,B3,C2,D4,E3,F2,G4,H3,I2,J4,K3,L2,M2,N3,O4,P2,Q3,R4,S0,T1,U2,V2,W3,X4,Z1' + \ 'T:A5,B4,C3,D5,E4,F3,G5,H4,I3,J5,K4,L3,M3,N4,O5,P3,Q4,R5,S1,T0,U1,V3,W4,X5,Z2' + \ 'U:A6,B5,C4,D6,E5,F4,G6,H5,I4,J6,K5,L4,M4,N5,O6,P4,Q5,R6,S2,T1,U0,V4,W5,X6,Z3' + \ 'V:A4,B3,C2,D4,E3,F2,G4,H3,I2,J4,K3,L2,M2,N3,O4,P2,Q3,R4,S2,T3,U4,V0,W1,X2,Z1' + \ 'W:A5,B4,C3,D5,E4,F3,G5,H4,I3,J5,K4,L3,M3,N4,O5,P3,Q4,R5,S3,T4,U5,V1,W0,X1,Z2' + \ 'X:A6,B5,C4,D6,E5,F4,G6,H5,I4,J6,K5,L4,M4,N5,O6,P4,Q5,R6,S4,T5,U6,V2,W1,X0,Z3' + \ 'Z:A3,B2,C1,D3,E2,F1,G3,H2,I1,J3,K2,L1,M1,N2,O3,P1,Q2,R3,S1,T2,U3,V1,W2,X3,Z0'
""" Codemonk link: https://www.hackerearth.com/problem/algorithm/the-monk-and-kundan-6f73d491/ Kundan being a good friend of Monk, lets the Monk know that he has a following string Initial which consists of the following letters in the mentioned order: "abcdefghijklmnopqrstuvwxyz1234567890ABCDEFGHIJKLMNOPQRSTUVWXYZ". He also has various lists of strings, and now he wants the Monk to compute the Hash value of each list of strings. Here's the following algorithm used by the Monk to do it. So, the Hash is the summation of all the character values in the input: (currentIndex + (position of the character In the string initial) ). And then this hash is multiplied by the number of strings in the list. Input - Output: The first line contains an integer T, denoting the number of test cases. For every test case, on a single line, there will be N number of strings all of them separated by a space, denoting all the strings of that particular list of strings. Print the required hash for each of the mentioned list of strings. Sample input: 3 aA1 b a b c d aa BB cc DD Sample Output: 132 24 640 """ """ This problem is extremely straight forward. To speed up everything we has the initial alphabet with values the indices of the characters in the original alphabet. Everything is insignificant here. Final complexity: O(1) """ alphabet = "abcdefghijklmnopqrstuvwxyz1234567890ABCDEFGHIJKLMNOPQRSTUVWXYZ" hash_table = {} for i in range(len(alphabet)): hash_table[alphabet[i]] = i t = int(input()) for _ in range(t): str_array = list(input().split()) value = 0 for i in range(len(str_array)): for j in range(len(str_array[i])): value += hash_table[str_array[i][j]] + j value *= len(str_array) print(value)
class ErrorCode: INVALID_ARGUMENT = 2 NOT_YET_SUPPORTED = 8 MISSING_REQUIREMENT = 9 FILE_NOT_FOUND = 20 FILE_CORRUPTED = 21 VPN_SERVICE_IS_NOT_WORKING = 90 VPN_ACCOUNT_NOT_FOUND = 91 VPN_ACCOUNT_NOT_MATCH = 92 VPN_NOT_YET_INSTALLED = 98 VPN_ALREADY_INSTALLED = 98 VPN_START_FAILED = 99 TIMEOUT = 100 class Versions: VPN_VERSION = 'v4.36-9754-beta' # Default version VPN_REPO = 'SoftEtherVPN/SoftEtherVPN_Stable' GHRD_VERSION = 'v1.1.2' GHRD_LINK = 'https://github.com/zero88/gh-release-downloader/releases/download/{}/ghrd' PLATFORMS = {'linux/arm/32-eabi': 'arm_eabi-32', 'linux/arm/v7': 'arm-32', 'linux/arm/v6': 'arm-32', 'linux/mips': 'mips_el-32', 'linux/386': 'linux-x86', 'linux/amd64': 'linux-x64', 'linux/arm64': 'arm64'} ARCHES = [a for a in PLATFORMS.values() if a] class AppEnv: BRAND = 'playio' VPN_CORP_ENV = 'VPN_CORP' VPN_HOME_ENV = 'VPN_HOME'
""" Store the global parameter dictionary to be imported and modified by each test """ OPT = {'dataset': 'Cora', 'self_loop_weight': 1, 'leaky_relu_slope': 0.2, 'heads': 2, 'K': 10, 'attention_norm_idx': 0, 'add_source': False, 'alpha': 1, 'alpha_dim': 'vc', 'beta_dim': 'vc', 'hidden_dim': 6, 'block': 'attention', 'function': 'laplacian', 'augment': False, 'adjoint': False, 'tol_scale': 1, 'time': 1, 'input_dropout': 0.5, 'dropout': 0.5, 'method': 'euler', 'rewiring': None, 'no_alpha_sigmoid': False, 'reweight_attention': False, 'kinetic_energy': None, 'jacobian_norm2': None, 'total_deriv': None, 'directional_penalty': None, 'step_size': 1, 'beltrami': False, 'use_mlp': False, 'use_labels': False, 'fc_out': False, 'attention_type': "scaled_dot", 'batch_norm': False, 'square_plus': False, 'feat_hidden_dim': 16, 'pos_enc_hidden_dim': 8, 'gdc_method': 'ppr', 'gdc_sparsification': 'topk', 'gdc_k': 4, 'gdc_threshold': 1e-5, 'ppr_alpha': 0.05, 'exact': True, 'pos_enc_orientation': 'row', 'pos_enc_type': 'GDC', 'max_nfe': 1000, 'pos_enc_csv': False, 'max_test_steps': 1000, 'edge_sampling_add_type': 'importance', 'fa_layer': False, 'att_samp_pct': 1, 'edge_sampling_sym': False}
# Current version of the bcftbx package __version__ = '1.11.1' def get_version(): """Returns a string with the current version of the bcftbx package (e.g., "0.2.0") """ return __version__
# @Title: 出现次数最多的子树元素和 (Most Frequent Subtree Sum) # @Author: KivenC # @Date: 2020-08-17 21:01:36 # @Runtime: 76 ms # @Memory: 17.2 MB # Definition for a binary tree node. # class TreeNode: # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution: def findFrequentTreeSum(self, root: TreeNode) -> List[int]: if not root: return [] record = collections.defaultdict(int) def traverse(root: TreeNode) -> int: if not root: return 0 left = traverse(root.left) right = traverse(root.right) tmp = root.val + left + right record[tmp] += 1 return tmp traverse(root) val = max(record.values()) return filter(lambda x: record[x] == val, record.keys())
person='abc' video_source_number=0 thresholds=[.9,.85,.85,.85,.85,.95,.9] extra_thresholds=[.85,.85,.85,.85] #select the image widow and press w,s,a,d keys while running the script and looking in appropriate direction to change threshold tsrf=True #if true only image of eye will be processed may increase accuracy mode=False print_frame_rate=False print_additive_average_frame_rate=False cursor_speed=3 auto_correct_threshold=False auto_correct_left_pixel_limit=.5 auto_correct_right_pixel_limit=.5 auto_correct_up_pixel_limit=.5 auto_correct_down_pixel_limit=.5 delay_after_dclick_or_enable=.1 threshold_correction_rate=.01 auto_threshold_correct_rate=.01 brightness_correction=False #brightness_correction doesnt work well show_left_eye=True show_left_eyebrow=True landmarks=[['bros',17,21,19,'1122'],['eye',36,39,37,40],['eye',36,39,37,40],['eye',36,39,37,40],['eye',36,39,37,40],['eye',36,39,37,40],['eye',42,45,43,46]] data=['bros','up','down','left','right','dclick','r_close'] color=[[0,0,0],[0,50,100],[100,50,0],[100,150,200],[200,150,100],[200,0,0],[0,0,0]] extra_colors=[[0,50,100],[100,50,0],[100,150,200],[200,150,100]] correct=['e','u','d','l','r','c','m'] steps=['raise your left eyebrow','look up','look down','look left','look right','close left eye','close right eye'] if tsrf==False and brightness_correction==True: brightness_correction=False print("brightness correction can't work with tsrf disabled as it takes cropped image from tensorflow and makes its average brightness equal to data") print("turning off brightness correction") if tsrf==False and mode==True: mode==False;print('2 modes only when tsrf enabled')
# # PySNMP MIB module RBTWS-RF-DETECT-TC (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/RBTWS-RF-DETECT-TC # Produced by pysmi-0.3.4 at Mon Apr 29 20:45:14 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # ObjectIdentifier, OctetString, Integer = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "OctetString", "Integer") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ConstraintsIntersection, ValueSizeConstraint, ValueRangeConstraint, ConstraintsUnion, SingleValueConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsIntersection", "ValueSizeConstraint", "ValueRangeConstraint", "ConstraintsUnion", "SingleValueConstraint") rbtwsMibs, = mibBuilder.importSymbols("RBTWS-ROOT-MIB", "rbtwsMibs") ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup") IpAddress, Gauge32, TimeTicks, MibIdentifier, Bits, Counter32, MibScalar, MibTable, MibTableRow, MibTableColumn, ObjectIdentity, Counter64, Integer32, Unsigned32, iso, ModuleIdentity, NotificationType = mibBuilder.importSymbols("SNMPv2-SMI", "IpAddress", "Gauge32", "TimeTicks", "MibIdentifier", "Bits", "Counter32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "ObjectIdentity", "Counter64", "Integer32", "Unsigned32", "iso", "ModuleIdentity", "NotificationType") TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString") rbtwsRFDetectTc = ModuleIdentity((1, 3, 6, 1, 4, 1, 52, 4, 15, 1, 4, 11)) rbtwsRFDetectTc.setRevisions(('2007-04-18 00:02', '2007-03-28 00:01',)) if mibBuilder.loadTexts: rbtwsRFDetectTc.setLastUpdated('200704191855Z') if mibBuilder.loadTexts: rbtwsRFDetectTc.setOrganization('Enterasys Networks') class RbtwsRFDetectClassificationReason(TextualConvention, Integer32): status = 'current' subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11)) namedValues = NamedValues(("other", 1), ("default-classification", 2), ("rogue-list", 3), ("ap-in-modo", 4), ("neighbor-list", 5), ("ssid-masquerade", 6), ("seen-in-network", 7), ("ad-hoc", 8), ("ssid-list", 9), ("pass-fingerprint", 10), ("fail-fingerprint", 11)) class RbtwsRFDetectClassification(TextualConvention, Integer32): status = 'current' subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6)) namedValues = NamedValues(("other", 1), ("not-classified", 2), ("member", 3), ("neighbor", 4), ("suspect", 5), ("rogue", 6)) class RbtwsRFDetectNetworkingMode(TextualConvention, Integer32): status = 'current' subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2)) namedValues = NamedValues(("ad-hoc", 1), ("infrastructure", 2)) mibBuilder.exportSymbols("RBTWS-RF-DETECT-TC", RbtwsRFDetectClassification=RbtwsRFDetectClassification, rbtwsRFDetectTc=rbtwsRFDetectTc, PYSNMP_MODULE_ID=rbtwsRFDetectTc, RbtwsRFDetectNetworkingMode=RbtwsRFDetectNetworkingMode, RbtwsRFDetectClassificationReason=RbtwsRFDetectClassificationReason)
class Border: def __init__(self, l: bool = False, r: bool = False, t: bool = False, b: bool = False): """ Элемент границы. :param l: должна ли граница соединяться слева :param r: должна ли граница соединяться справа :param t: должна ли граница соединяться сверху :param b: должна ли граница соединяться снизу """ self.left = l self.right = r self.top = t self.bottom = b def __int__(self): i = 0 if self.left: i += 1 if self.right: i += 2 if self.top: i += 4 if self.bottom: i += 8 return i def __eq__(self, other): if not isinstance(other, Border): return False return int(self) == int(other) def __str__(self): i = int(self) if i == 0: ch = ' ' elif i == 1: ch = '╴' elif i == 2: ch = '╶' elif i == 3: ch = '─' elif i == 4: ch = '╵' elif i == 5: ch = '┘' elif i == 6: ch = '└' elif i == 7: ch = '┴' elif i == 8: ch = '╷' elif i == 9: ch = '┐' elif i == 10: ch = '┌' elif i == 11: ch = '┬' elif i == 12: ch = '│' elif i == 13: ch = '┤' elif i == 14: ch = '├' elif i == 15: ch = '┼' else: ch = '' return ch def __repr__(self): return "<Border '{}'>".format(str(self)) def __add__(self, other): if not isinstance(other, Border): raise TypeError("unsupported operand type(s) for +: 'Border' and '{}'".format(type(other))) l = self.left or other.left r = self.right or other.right t = self.top or other.top b = self.bottom or other.bottom return Border(l=l, r=r, t=t, b=b) def __sub__(self, other): if not isinstance(other, Border): raise TypeError("unsupported operand type(s) for -: 'Border' and '{}'".format(type(other))) l = (int(self) & 0b0001) > (int(other) & 0b0001) r = (int(self) & 0b0010) > (int(other) & 0b0010) t = (int(self) & 0b0100) > (int(other) & 0b0100) b = (int(self) & 0b1000) > (int(other) & 0b1000) return Border(l=l, r=r, t=t, b=b) def __copy__(self): return Border(l=self.left, r=self.right, t=self.top, b=self.bottom)
# -*- coding: utf-8 -*- """ Интерфейс к различным устройствам, на которых будет моделироваться сеть. """ class Device(object): """ Абстрактный класс для устройств """ def __init__(self, config): self.config = config def tick_neurons(self, domain): """ Проверяем нейроны на спайки. """ raise NotImplementedError def tick_synapses(self, domain): """ Передаем сигналы от pre-нейронов, у которых наступил спайк к post-нейронам """ raise NotImplementedError def tick_transmitter_index(self, domain): """ Получаем спайки из устройства для нейронов с флагом IS_TRANSMITTER """ raise NotImplementedError def tick_receiver_index(self, domain): """ Передаем в устройство спайки для нейронов с флагом IS_RECEIVER """ raise NotImplementedError def create(self, data): """ Создает указатель на данные на устройстве для data """ raise NotImplementedError def upload(self, device_data_pointer, data, is_blocking=True): """ Данные из data копируются на устройство и возвращается указатель на данные на устройсте """ raise NotImplementedError def download(self, data, device_data_pointer, is_blocking=True): """ Данные с устройства (указатель dev_data) копируются в data """ raise NotImplementedError def clean(self): """ Правильно завершаем работу устройства, если это необходимо """ pass
# Collaborators (including web sites where you got help: (enter none if you didn't need help) # none # A note on style: Dictionaries can be defined before or after functions. board = {'1': ' ' , '2': ' ' , '3': ' ' ,'4': ' ' , '5': ' ' , '6': ' ' ,'7': ' ' , '8': ' ' , '9': ' ' } def gameboard(board): print(board['1'] + '|' + board['2'] + '|' + board['3']) print('-+-+-') print(board['4'] + '|' + board['5'] + '|' + board['6']) print('-+-+-') print(board['7'] + '|' + board['8'] + '|' + board['9']) def main(): num = 0 global player player = 'X' for i in range(10): gameboard(board) print("It is player " + player + "'s turn. " + player + ", what do you want to move? Use the keys: 1, 2, 3, 4, 5, 6, 7, 8, 9 to pick a spot on the board: ") move = input() if board[move] == ' ': board[move] = player num += 1 else: print("That spot is already filled. pick another move") continue if num >= 1: if board['1'] == board['2'] == board['3'] != ' ': gameboard(board) print(player + " won.") break elif board['4'] == board['5'] == board['6'] != ' ': gameboard(board) print(player + " won.") break elif board['7'] == board['8'] == board['9'] != ' ': gameboard(board) print(player + " won.") break elif board['1'] == board['4'] == board['7'] != ' ': gameboard(board) print(player + " won.") break elif board['2'] == board['5'] == board['8'] != ' ': gameboard(board) print(player + " won.") break elif board['3'] == board['6'] == board['9'] != ' ': gameboard(board) print(player + " won.") break elif board['1'] == board['5'] == board['9'] != ' ': gameboard(board) print(player + " won.") break elif board['3'] == board['5'] == board['7'] != ' ': gameboard(board) print(player + " won.") break if player =='X': player = 'O' else: player = 'X' if num == 9: gameboard(board) print("It's a Tie!!") break try: main() except: print("bad input") if player == 'X': player = 'X' else: player = 'O' main()
{ "cells": [ { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Financial Analysis\n", "Total Months:86\n", "Total Amount:38382578\n", "-2315.1176470588234\n", "Feb-2012 1926159\n", "Sep-2013 -2196167\n" ] } ], "source": [ "#import file\n", "import os\n", "import csv\n", "\n", "#declare the csv path\n", "csvpath = os.path.join('Resources','budget_data.csv')\n", "\n", "#declare the variables \n", "total_months = 0\n", "total_revenue =0\n", "changes =[]\n", "date_count = []\n", "greatest_increase = 0\n", "greatest_increase_month = 0\n", "greatest_decrease = 0\n", "greatest_decrease_month = 0\n", "\n", "# Open the csv\n", "with open(csvpath, newline = '') as csvfile:\n", " csvreader = csv.reader(csvfile, delimiter = ',')\n", " next(csvreader, None)\n", " row = next(csvreader)\n", " \n", " # calculate the total number of months and total revenue\n", " previous_profit = int(row[1])\n", " total_months = total_months + 1\n", " total_revenue = total_revenue + int(row[1])\n", " greatest_increase = int(row[1])\n", " greatest_increase_month = row[0]\n", "\n", " for row in csvreader:\n", " \n", " total_months = total_months + 1\n", " total_revenue = total_revenue + int(row[1])\n", "\n", " # calculate change from month-to-month\n", " change = int(row[1]) - previous_profit\n", " changes.append(change)\n", " previous_profit = int(row[1])\n", " date_count.append(row[0])\n", " \n", " #calculate the greatest increase\n", " if int(row[1]) > greatest_increase:\n", " greatest_increase = int(row[1])\n", " greatest_increase_month = row[0]\n", " \n", " #calculate the greatest decrease\n", " if int(row[1]) < greatest_decrease:\n", " greatest_decrease = int(row[1])\n", " greatest_decrease_month = row[0] \n", " \n", " # calculate the average and date\n", " average_change = sum(changes)/len(changes)\n", "\n", " high = max(changes)\n", " low = min(changes)\n", "\n", " # print values\n", " print(\"Financial Analysis\")\n", " print(\"Total Months:\" + str(total_months))\n", " print(\"Total Amount:\" + str(total_revenue))\n", " print(average_change)\n", " print(greatest_increase_month, max(changes))\n", " print(greatest_decrease_month, min(changes))\n", "\n", "\n", " # write output files\n", " PyBank = open(\"output.txt\",\"w+\")\n", " PyBank.write(\"Financial Analysis\") \n", " PyBank.write('\\n' +\"Total Months\" + str(total_months)) \n", " PyBank.write('\\n' +\"Total Amount\" + str(total_revenue)) \n", " PyBank.write('\\n' +\"Average\" + str(average_change)) \n", " PyBank.write('\\n' +greatest_increase_month) \n", " PyBank.write('\\n' +str(high))\n", " PyBank.write('\\n' +greatest_decrease_month) \n", " PyBank.write('\\n' +str(low)) " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3.9.1 64-bit ('3.9')", "language": "python", "name": "python391jvsc74a57bd07812ea015bdcee6f23a998adcdd2ef97c151c0c241b7b7070987d9313e41299d" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.1" }, "metadata": { "interpreter": { "hash": "7812ea015bdcee6f23a998adcdd2ef97c151c0c241b7b7070987d9313e41299d" } } }, "nbformat": 4, "nbformat_minor": 4 }
# Puzzle Input with open('Day13_Input.txt') as puzzle_input: bus_info = puzzle_input.read().split('\n') # Get the departure time and the IDs departure = int(bus_info[0]) bus_id = bus_info[1].split(',') # Remove the x's while 'x' in bus_id: bus_id.remove('x') # Convert the IDs to integers bus_id = list(map(int, bus_id)) # Calculate the waiting times waiting_times = [] for ID in bus_id: # The negative part is the time the bus departs before we can leave waiting_times += [-(departure % ID) + ID] # the positive part changes it to after we left # See which bus gave us the minimum waiting time min_index = waiting_times.index(min(waiting_times)) # Show the result print(waiting_times[min_index] * bus_id[min_index])
#!/usr/bin/env python # -*- encoding:utf8 -*- #******************************************* # Author: LuoFeng # Date: 2019-05-18 # Filename: 99_table.py # Describe: #******************************************* # 正方形九九乘法表 for n in range(1,10): # python3 print() 函数支持 end 参数,python2 不支持, 默认值 end = '\n' for m in range(1,10): print('{} * {} = {}'.format(n, m, n*m), end='\t') print('') # 左上三角形九九乘法表 for n in range(1,10): # python3 print() 函数支持 end 参数,python2 不支持, 默认值 end = '\n' for m in range(n,10): print('{} * {} = {}'.format(n, m, n*m), end='\t') print('') # 左下三角形九九乘法表 for n in range(1,10): # python3 print() 函数支持 end 参数,python2 不支持, 默认值 end = '\n' for m in range(1,n+1): print('{} * {} = {}'.format(n, m, n*m), end='\t') print('')
# AUTOGENERATED BY NBDEV! DO NOT EDIT! __all__ = ["index", "modules", "custom_doc_links", "git_url"] index = {"PseudoData": "00_pseudodata.ipynb", "paper_sig": "00_pseudodata.ipynb", "paper_bkg": "00_pseudodata.ipynb", "ModelWrapper": "01_model_wrapper.ipynb", "DataSet": "02_data.ipynb", "WeightedDataLoader": "02_data.ipynb", "DataPair": "02_data.ipynb", "get_paper_data": "02_data.ipynb", "AbsCallback": "03_callback.ipynb", "LossTracker": "03_callback.ipynb", "EarlyStopping": "03_callback.ipynb", "SaveBest": "03_callback.ipynb", "PredHandler": "03_callback.ipynb", "PaperSystMod": "03_callback.ipynb", "GradClip": "03_callback.ipynb", "to_device": "04_utils.ipynb", "device": "04_utils.ipynb", "to_np": "04_utils.ipynb", "init_net": "04_utils.ipynb", "plt_style": "05_plotting.ipynb", "plt_sz": "05_plotting.ipynb", "plt_cat_pal": "05_plotting.ipynb", "plt_tk_sz": "05_plotting.ipynb", "plt_lbl_sz": "05_plotting.ipynb", "plt_title_sz": "05_plotting.ipynb", "plt_leg_sz": "05_plotting.ipynb", "plot_preds": "05_plotting.ipynb", "plot_likelihood": "05_plotting.ipynb", "bin_preds": "06_inference.ipynb", "get_shape": "06_inference.ipynb", "get_paper_syst_shapes": "06_inference.ipynb", "get_likelihood_width": "06_inference.ipynb", "interp_shape": "06_inference.ipynb", "calc_nll": "06_inference.ipynb", "jacobian": "06_inference.ipynb", "calc_grad_hesse": "06_inference.ipynb", "calc_profile": "06_inference.ipynb", "VariableSoftmax": "07_inferno_exact.ipynb", "AbsInferno": "07_inferno_exact.ipynb", "PaperInferno": "07_inferno_exact.ipynb", "InfernoPred": "07_inferno_exact.ipynb", "AbsApproxInferno": "08_inferno_interp.ipynb", "ApproxPaperInferno": "08_inferno_interp.ipynb"} modules = ["pseudodata.py", "model_wrapper.py", "data.py", "callback.py", "utils.py", "plotting.py", "inference.py", "inferno.py"] doc_url = "https://GilesStrong.github.io/pytorch_inferno/" git_url = "https://github.com/GilesStrong/pytorch_inferno/tree/master/" def custom_doc_links(name): return None
def min(x, y): return x > y and x or y def gcd(x, y): res = -1 for i in range(1, min(x, y) + 1): if x % i == 0 and y % i == 0: if res < i: res = i return res N, M = map(int, input().split()) print(gcd(N, M)) print(gcd(N, M) * (N // gcd(N, M)) * (M // gcd(N, M)))
#! /root/anaconda3/bin/python try: result = 1 / 2 #result = 1 / 0 #result = int('abc') except ImportError: print("导入错误") except ZeroDivisionError: print("0不能作为除数") except TypeError: print("类型错误") else: print(result) finally: print("释放资源") print("结束") ############################################
# Python - 3.6.0 fruitList = { 1: 'kiwi', 2: 'pear', 3: 'kiwi', 4: 'banana', 5: 'melon', 6: 'banana', 7: 'melon', 8: 'pineapple', 9: 'apple', 10: 'pineapple', 11: 'cucumber', 12: 'pineapple', 13: 'cucumber', 14: 'orange', 15: 'grape', 16: 'orange', 17: 'grape', 18: 'apple', 19: 'grape', 20: 'cherry', 21: 'pear', 22: 'cherry', 23: 'pear', 24: 'kiwi', 25: 'banana', 26: 'kiwi', 27: 'apple', 28: 'melon', 29: 'banana', 30: 'melon', 31: 'pineapple', 32: 'melon', 33: 'pineapple', 34: 'cucumber', 35: 'orange', 36: 'apple', 37: 'orange', 38: 'grape', 39: 'orange', 40: 'grape', 41: 'cherry', 42: 'pear', 43: 'cherry', 44: 'pear', 45: 'apple', 46: 'pear', 47: 'kiwi', 48: 'banana', 49: 'kiwi', 50: 'banana', 51: 'melon', 52: 'pineapple', 53: 'melon', 54: 'apple', 55: 'cucumber', 56: 'pineapple', 57: 'cucumber', 58: 'orange', 59: 'cucumber', 60: 'orange', 61: 'grape', 62: 'cherry', 63: 'apple', 64: 'cherry', 65: 'pear', 66: 'cherry', 67: 'pear', 68: 'kiwi', 69: 'pear', 70: 'kiwi', 71: 'banana', 72: 'apple', 73: 'banana', 74: 'melon', 75: 'pineapple', 76: 'melon', 77: 'pineapple', 78: 'cucumber', 79: 'pineapple', 80: 'cucumber', 81: 'apple', 82: 'grape', 83: 'orange', 84: 'grape', 85: 'cherry', 86: 'grape', 87: 'cherry', 88: 'pear', 89: 'cherry', 90: 'apple', 91: 'kiwi', 92: 'banana', 93: 'kiwi', 94: 'banana', 95: 'melon', 96: 'banana', 97: 'melon', 98: 'pineapple', 99: 'apple', 100: 'pineapple' } def subtract_sum(number): while number > 0: number -= sum([int(i) for i in str(number)]) if number in fruitList: return fruitList[number] return ''
__all__ = [ 'base_controller', 'imaging', 'telephony', 'data_tools', 'security_and_networking', 'geolocation', 'e_commerce', 'www', ]
f = open('test16.txt', 'rt') rows = f.readlines() for row in rows: print(row) f.close() # while True: # row = f.readline() # print(row) # if not row: # break # f.close()
flagArray = [0 for i in range(32)] flag = "" flagArray[0] = 'd' flagArray[29] = '9' flagArray[4] = 'r' flagArray[2] = '5' flagArray[23] = 'r' flagArray[3] = 'c' flagArray[17] = '4' flagArray[1] = '3' flagArray[7] = 'b' flagArray[10] = '_' flagArray[5] = '4' flagArray[9] = '3' flagArray[11] = 't' flagArray[15] = 'c' flagArray[8] = 'l' flagArray[12] = 'H' flagArray[20] = 'c' flagArray[14] = '_' flagArray[6] = 'm' flagArray[24] = '5' flagArray[18] = 'r' flagArray[13] = '3' flagArray[19] = '4' flagArray[21] = 'T' flagArray[16] = 'H' flagArray[27] = '5' flagArray[30] = '2' flagArray[25] = '_' flagArray[22] = '3' flagArray[28] = '0' flagArray[26] = '7' flagArray[31] = 'e' for i in range(0, len(flagArray)): flag = flag + str(flagArray[i]) print(flag)
def percents_yearly_to_monthly(yearly_percent): return ((1 + yearly_percent) ** (1 / 12)) - 1 def currency_str(number, currency="ILS"): if currency == "ILS": return "₪{:,.2f}".format(number) if currency == "USD": return "${:,.2f}".format(number) return "{:,.2f} ".format(number) + currency
print("Enter a selection from the below menu. Press '0' to exit.") menu_items = ["Bake a loaf of bread", "Bake a pound cake", "Prepare Roast Chicken", "Make Curry", \ "Put a rack of ribs in the smoker", "Buy dinner out", "Have ice cream", "Sandwiches - again"] select = None while True: for i in range(len(menu_items)): print(f"{i+1}:\t{menu_items[i]}") select = int(input("\nMake a selection: ")) if select == 0: print("Shutting down!\n") break if select > len(menu_items): print("I don't have that many options today!\n") continue select -= 1 print(f"\nYou selected: {menu_items[select]}\n")
""" Write a program to remove the item present at index 4 and add it to the 2nd position and at the end of the list. Given: list1 = [34, 54, 67, 89, 11, 43, 94] Expected Output: List After removing element at index 4 [34, 54, 67, 89, 43, 94] List after Adding element at index 2 [34, 54, 11, 67, 89, 43, 94] List after Adding element at last [34, 54, 11, 67, 89, 43, 94, 11] """ list1 = [34, 54, 67, 89, 11, 43, 94] element = list1[4] list1.pop(4) list1.insert(2, element) list1.append(element) print(list1)