xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

b721288dbd2f952ee483f8dcf3a26680614eb8a3

615

py

Python

Code for Reproducing Results/Scripts_used_in_comparison/config.py

yyren/FVC

667dbfcd4a203fa51e77ca2e81a12d139884a243

[ "MIT" ]

11

2021-11-20T12:52:32.000Z

2021-12-10T07:54:14.000Z

Code for Reproducing Results/Scripts_used_in_comparison/config.py

yyren/FVC

667dbfcd4a203fa51e77ca2e81a12d139884a243

[ "MIT" ]

null

Code for Reproducing Results/Scripts_used_in_comparison/config.py

yyren/FVC

667dbfcd4a203fa51e77ca2e81a12d139884a243

[ "MIT" ]

null

# DATABASE_PATH = '/export/home/zhouxiaocheng/project/test/ryy/database' # DATABASE_PATH = '/data1/TumorGroup/DATA/public_database/FVC/Training/annotation_region' DATABASE_PATH = '/data1/TumorGroup/DATA/public_database/FVC/Data/third_check' # DATABASE_TWO_PATH = '/data1/TumorGroup/DATA/public_database/FVC/Training/Feature' DATABASE_TWO_PATH = '/data1/TumorGroup/DATA/public_database/FVC/Data/garfield_features' RESULT_PATH = '/export/home/zhouxiaocheng/project/test/ryy/result' PLOT_PATH = '/export/home/zhouxiaocheng/project/test/ryy/plot' FORMAT_PATH = '/export/home/zhouxiaocheng/project/test/ryy/plot/format'

68.333333

89

0.819512

82

615

5.939024

0.304878

0.082136

0.11499

0.221766

0.833676

0.665298

0.418891

0

0.006803

0.043902

615

9

90

68.333333

0.821429

0.390244

0

0.746631

0

1

0

false

0

null

0

1

0

1

0

1

null

0

7

b72a9847be0dbe26da4f62d76dcaed27f3b11076

132

py

Python

neuroglia/calcium/__init__.py

NileGraddis/neuroglia

cbe132347aeb9f3664f25d2e67eba34aa4d1ed0c

[ "BSD-3-Clause" ]

1

2019-01-05T09:12:13.000Z

neuroglia/calcium/__init__.py

j-friedrich/neuroglia

5b4e43d3dcfd75184d205e18a251598586f9f812

[ "BSD-3-Clause" ]

null

neuroglia/calcium/__init__.py

j-friedrich/neuroglia

5b4e43d3dcfd75184d205e18a251598586f9f812

[ "BSD-3-Clause" ]

null

from .calcium import MedianFilterDetrender, SavGolFilterDetrender from .calcium import EventRescaler, CalciumDeconvolver, Normalize

44

65

0.878788

11

132

10.545455

0.727273

0.189655

0.293103

0

0.083333

132

2

66

0.958678

0

1

0

true

0

1

0

1

0

1

0

1

null

0

1

0

1

0

null

0

1

0

1

0

1

0

7

b73aed06132f38ebf3444b6769e89c41fc3b7420

3,149

py

Python

src/main.py

xuedong/smart-voice

30b4f95f728c8df6f765826a7c9d6297c5d6499e

[ "MIT" ]

1

2018-01-19T16:15:06.000Z

src/main.py

xuedong/smart-voice

30b4f95f728c8df6f765826a7c9d6297c5d6499e

[ "MIT" ]

null

src/main.py

xuedong/smart-voice

30b4f95f728c8df6f765826a7c9d6297c5d6499e

[ "MIT" ]

null

#!/usr/bin/env python import sys import descriptors as d import classification as c import evaluation as e import time import numpy as np import gc def main(*kargs, **kwargs): #(X, y, g, di) = d.get_descriptors(['tiny-clean'],[('MFCC',{})]) (X, y, g, di) = d.get_descriptors(['tiny-noisy'],[('MFCC',{})]) #(X1, y1, g1, di1) = d.get_descriptors(['tiny-noisy'],[('MFCC',{'keep': '1'})]) # (X, y, g, di) = d.get_descriptors(['tiny-noisy'],[('MFCC',{"multi":False})]) #(X, y, g, di) = d.get_descriptors(['tiny-clean','tiny-noisy','tiny-noises'],[('MFCC',{"multi":False})]) #(X, y, g, di) = d.get_descriptors(['clean'],[('MFCC',{})]) #(X, y, g, di) = d.get_descriptors(['noisy'],[('MFCC',{})]) #X, y, g, di) = d.get_descriptors(['noisy'],[('MFCC',{"multi":False})]) #(X, y, g, di) = d.get_descriptors(['noisy'],[('MFCC',{"keep": '3'})]) # prfs = e.cv(X,y,g,2,di, seed = 0) # print(prfs) # del(X,y,g,di) # (X, y, g, di) = d.get_descriptors(['noisy'],[('MFCC',{"multi":False,"keep": '2'})]) # prfs = e.cv(X,y,g,2,di, seed = 0) # print(prfs) # del(X,y,g,di) # (X, y, g, di) = d.get_descriptors(['noisy'],[('MFCC',{"multi":False,"keep": '3'})]) # prfs = e.cv(X,y,g,2,di, seed = 0) # print(prfs) # del(X,y,g,di) # (X, y, g, di) = d.get_descriptors(['noisy'],[('MFCC',{"multi":False})]) # prfs = e.cv(X,y,g,2,di, seed = 0) # print(prfs) # del(X,y,g,di) # (X, y, g, di) = d.get_descriptors(['noisy'],[('MFCC',{"multi":False})]) #(X, y, g, di) = d.get_descriptors(['clean','noisy','noises'],[('MFCC',{"multi":False})]) # prfs = e.cv(X,y,g,3,di, test_loc = True, seed = 0) #prfs = e.cv(X,y,g,2,di, seed = 0, look_back = 1) # prfs = e.cv(X,y,g,2,di, method = "LSTM", seed = 0, look_back = 1) #prfs = e.cv(X, y, g, 2, di, test_loc=True, seed = 0) # prfs = e.cv(X,y,g,2,di, method = "LSTM", test_loc = True, seed = 0, look_back = 1) #prfs = e.cv(X, y, g, 2, di, test_loc=False, seed = 0) #prfs = e.cv(X, y, g, 2, di, test_loc=False, seed = 0, smoothing=True) #prfs2 = e.cv(X,y,g,2,di, method = "LSTM", seed = 0, look_back = 1, smoothing=True) #prfs = e.cv(X, y, g, 2, di, test_loc=True, seed = 0) #prfs = e.cv(X,y,g,2,di, method = "LSTM", seed = 0, look_back = 1) # prfs = e.cv(X,y,g,2,di, seed = 0) # prfs1 = e.cv(X1,y1,g1,2,di1, seed = 0) # prfs = e.cv(X,y,g,2,di, method = "LSTM", seed = 0, look_back = 1) # prfs = e.cv(X, y, g, 2, di, test_loc=False, seed = 0) # prfs1 = e.cv(X, y, g, 2, di, test_loc=False, seed = 0) # prfs = e.cv(X, y, g, 2, di, test_loc=False, seed = 0, smoothing=True) # prfs2 = e.cv(X,y,g,2,di, method = "LSTM", seed = 0, look_back = 1, smoothing=True) # prfs = e.cv(X, y, g, 2, di, test_loc=True, seed = 0) # prfs = e.cv(X,y,g,2,di, method = "LSTM", test_loc=True, seed = 0, look_back = 1, predict_method="naive-2calc") prfs = e.cv(X,y,g,2,di, method = "LSTM", test_loc=True, seed = 0, look_back = 1, predict_method="naive", mbss_pooling='sum') print(prfs) gc.collect() if __name__ == "__main__": main(sys.argv)

44.352113

128

0.538266

566

3,149

2.913428

0.118375

0.048514

0.072771

0.069739

0.847787

0.839903

0.822923

0.777441

0

0.029447

0.201969

3,149

70

129

44.985714

0.626741

0.771674

0

0.050445

0

1

0.071429

false

0

0.5

0

0.571429

0.071429

0

null

0

1

0

null

0

1

0

1

0

8

3f9ca242c2d6220b9a8c90498e7d785c1ba42a72

87,749

py

Python

mysite/tcgcreator/ask.py

jidpn/tcgcreator_eternal_beta

4a10a5a36eeb161cf35a3488453c00325d78ae83

[ "MIT" ]

null

mysite/tcgcreator/ask.py

jidpn/tcgcreator_eternal_beta

4a10a5a36eeb161cf35a3488453c00325d78ae83

[ "MIT" ]

null

mysite/tcgcreator/ask.py

jidpn/tcgcreator_eternal_beta

4a10a5a36eeb161cf35a3488453c00325d78ae83

[ "MIT" ]

null

from django.http import HttpResponse, HttpResponseRedirect from django.urls import reverse from .models import ( FieldSize, Deck, Grave, Hand, Duel, MonsterEffectWrapper, DuelGrave, DuelHand, CostWrapper, Monster, ) from pprint import pprint import json from .duel import DuelObj def ask_place(request): decks = Deck.objects.all() graves = Grave.objects.all() hands = Hand.objects.all() room_number = int(request.POST["room_number"]) duel = Duel.objects.filter(id=room_number).get() if duel.guest_flag is False: ID1 = -1 else: ID1 = duel.guest_id if duel.guest_flag2 is False: ID2 = -1 else: ID2 = duel.guest_id2 if "ID" in request.COOKIES : ID = request.COOKIES["ID"] else: ID = "" if duel.user_1 != request.user and duel.user_2 != request.user: if (ID1 == ID and duel.guest_flag) or (ID2 == ID and duel.guest_flag2): pass else: return HttpResponseRedirect(reverse("watch_battle")) if duel.winner != 0 or duel.winner_ai != 0: return HttpResponse("end") if duel.user_1 == request.user or (ID1 == ID and duel.guest_flag): if duel.user_turn == 1: if duel.ask == 1 or duel.ask == 3: return show(duel, 1, room_number, duel.ask, decks, graves, hands) else: if duel.ask == 2 or duel.ask == 3: return show(duel, 1, room_number, duel.ask, decks, graves, hands) elif duel.user_2 == request.user or (ID2 == ID and duel.guest_flag2): if duel.user_turn == 2: if duel.ask == 1 or duel.ask == 3: return show(duel, 2, room_number, duel.ask, decks, graves, hands) else: if duel.ask == 2 or duel.ask == 3: return show(duel, 2, room_number, duel.ask, decks, graves, hands) return HttpResponse("error") def show(duel, user, room_number, ask, decks, graves, hands): ask_fields = [] ask_under = [] field_size = FieldSize.objects.get(id=1) current_and_or = "and" own_player = False other_player = False other_user_flag = False duelobj = DuelObj(room_number) duelobj.duel = duel duelobj.room_number = room_number if user == 1: other_user = 2 elif user == 2: other_user = 1 duelobj.user = user duelobj.other_user = other_user duelobj.init_all(user, other_user, room_number) field = duelobj.field duelobj.check_eternal_effect( decks, graves, hands, duel.phase, duel.user_turn, user, other_user ) if duel.in_copying is True: duelobj.tmp_chain = str(duel.chain - 1) else: duelobj.tmp_chain = str(duel.chain) if int(duelobj.tmp_chain) > 0: duelobj.retrieve = 1 duelobj.check_eternal_effect( decks, graves, hands, duel.phase, duel.user_turn, user, other_user ) cost = duelobj.cost mess = duelobj.mess if duel.in_cost is True: if str(duel.chain) in cost: cost_chain = cost[str(duel.chain)] else: cost_chain = [] else: if str(duel.chain - 1) in cost: cost_chain = cost[str(duel.chain - 1)] else: cost_chain = [] if str(duel.chain - 1) in mess: mess = mess[str(duel.chain - 1)] else: mess = [] counter = 0 effect_kind = duel.ask_kind if duel.in_cost is True: cost_det = duel.cost_det effect_user = duel.cost_user cost = CostWrapper.objects.get(id=int(cost_det)) cost_det = cost.cost if cost.prompt == "" and cost.sentence == "": prompt = cost_det.prompt sentence = cost_det.sentence else: prompt = cost.prompt sentence = cost.sentence if cost_det.cost != "": monster_effect_text_org = json.loads(cost_det.cost) if cost_det.cost_val == 28 or cost_det.cost_val == 64: return_value = {} return_value["chain_variable"] = True return_value["min"] = duelobj.calculate_boland( monster_effect_text_org["min_equation_number"],None,True ) return_value["max"] = duelobj.calculate_boland( monster_effect_text_org["max_equation_number"],None,True ) return_value["prompt"] = prompt return_value["sentence"] = sentence return HttpResponse(json.dumps(return_value)) if cost_det.cost_val == 26: return_value = {} return_value["chain_variable"] = True return_value["min"] = duelobj.calculate_boland( monster_effect_text_org["min_equation_number"] ) return_value["max"] = duelobj.calculate_boland( monster_effect_text_org["max_equation_number"] ) return_value["prompt"] = prompt return_value["sentence"] = sentence return HttpResponse(json.dumps(return_value)) elif cost_det.cost_val == 27 or cost_det.cost_val == 63: return_value = {} return_value["chain_variable"] = True return_value["min"] = duelobj.calculate_boland( monster_effect_text_org["min_equation_number"] ) return_value["max"] = duelobj.calculate_boland( monster_effect_text_org["max_equation_number"] ) return_value["prompt"] = prompt return_value["sentence"] = sentence return HttpResponse(json.dumps(return_value)) elif cost_det.cost_val == 3: if duel.user_turn == effect_user: ask_org = 1 else: ask_org = 2 elif cost_det.cost_val == 4: other_user_flag = True if duel.user_turn == effect_user: ask_org = 2 else: ask_org = 1 elif cost_det.cost_val == 16: return_value = {} return_value["yes_or_no"] = True if prompt.find("@"): cost = duelobj.cost if str(duel.chain ) in cost: cost = cost[str(duel.chain)] else: cost = [] if "~trigger" in cost: monster_name = cost["~trigger"][0]["det"]["monster_name"] prompt = prompt.replace("(@)", monster_name) return_value["sentence"] = sentence return_value["prompt"] = prompt return HttpResponse(json.dumps(return_value)) elif cost_det.cost_val == 48: return_value = {} return_value["yes_or_no"] = True if prompt.find("@"): cost = duelobj.cost if str(duel.chain ) in cost: cost = cost[str(duel.chain)] else: cost = [] if "~trigger" in cost: monster_name = cost["~trigger"][0]["det"]["monster_name"] prompt = prompt.replace("(@)", monster_name) return_value["sentence"] = sentence return_value["prompt"] = prompt return HttpResponse(json.dumps(return_value)) elif cost_det.cost_val == 26: return_value = {} return_value["yes_or_no"] = True return_value["sentence"] = sentence return_value["prompt"] = prompt return HttpResponse(json.dumps(return_value)) elif cost_det.cost_val == 5: if duelobj.user != effect_user: other_user_flag = True ask_org = 3 else: ask_org = 0 elif duel.in_trigger_waiting is True and duel.force == 0: return_value = {} return_value["yes_or_no"] = True return_value["sentence"] = "" return_value["prompt"] = duel.trigger_name return HttpResponse(json.dumps(return_value)) else: chain_det = json.loads(duel.chain_det) chain_user = json.loads(duel.chain_user) effect_user = chain_user[str(duel.chain - 1)] monster_effect = MonsterEffectWrapper.objects.get( id=int(chain_det[str(duel.chain - 1)]) ) monster_effect_det2 = monster_effect.monster_effect if monster_effect.prompt != "" or monster_effect.sentence: prompt = monster_effect.prompt sentence = monster_effect.sentence else: prompt = monster_effect_det2.prompt sentence = monster_effect_det2.sentence monster_condition = monster_effect_det2.monster_condition if monster_condition != "": monster_condition = json.loads(monster_condition) monster_condition = monster_condition["monster"][0]["monster"] if monster_effect_det2.monster_effect_val == 54: return_value = {} acc_global = duelobj.acc_global acc_val = [] for tmp in acc_global: acc_val_tmp = {} acc_val_tmp["monster_name"] = tmp["monster"]["det"]["monster_name"] acc_val_tmp["change_val"] = tmp["change_val"] acc_val.append(acc_val_tmp) return_value["variables"] = acc_val return_value["prompt"] = prompt return HttpResponse(json.dumps(return_value)) elif monster_effect_det2.monster_effect_val == 55: return_value = {} acc_global = duelobj.acc_global acc_val = [] for tmp in acc_global: acc_val_tmp = {} acc_val_tmp["monster_name"] = tmp["monster"]["det"]["monster_name"] acc_val_tmp["change_val"] = tmp["change_val"] acc_val.append(acc_val_tmp) return_value["variables"] = acc_val return_value["val_order"] = True return_value["prompt"] = prompt return HttpResponse(json.dumps(return_value)) elif monster_effect_det2.monster_effect_val == 16: return_value = {} return_value["yes_or_no"] = True if prompt.find("@"): mess = duelobj.mess if str(duel.chain - 1) in mess: mess = mess[str(duel.chain - 1)] else: mess = [] if "trigger" in mess: monster_name = mess["trigger"][0]["det"]["monster_name"] prompt = prompt.replace("(@)", monster_name) return_value["prompt"] = prompt return_value["sentence"] = sentence return HttpResponse(json.dumps(return_value)) elif monster_effect_det2.monster_effect_val == 66: return_value = {} return_value["multiple_choice"] = True if prompt.find("@"): mess = duelobj.mess if str(duel.chain - 1) in mess: mess = mess[str(duel.chain - 1)] else: mess = [] if "trigger" in mess: monster_name = mess["trigger"][0]["det"]["monster_name"] prompt = prompt.replace("(@)", monster_name) return_value["multiple_det"] = json.loads(monster_effect_det2.monster_effect) return_value["prompt"] = prompt return_value["sentence"] = sentence return HttpResponse(json.dumps(return_value)) elif monster_effect_det2.monster_effect_val == 26: return_value = {} return_value["yes_or_no"] = True if prompt.find("@"): mess = duelobj.mess if str(duel.chain - 1) in mess: mess = mess[str(duel.chain - 1)] else: mess = [] if "trigger" in mess: monster_name = mess["trigger"][0]["det"]["monster_name"] prompt = prompt.replace("(@)", monster_name) return_value["sentence"] = sentence return_value["prompt"] = prompt return HttpResponse(json.dumps(return_value)) elif monster_effect_det2.monster_effect_val == 67: return_value = {} return_value["multiple_choice"] = True if prompt.find("@"): mess = duelobj.mess if str(duel.chain - 1) in mess: mess = mess[str(duel.chain - 1)] else: mess = [] if "trigger" in mess: monster_name = mess["trigger"][0]["det"]["monster_name"] prompt = prompt.replace("(@)", monster_name) return_value["multiple_det"] = json.loads(monster_effect_det2.monster_effect) return_value["prompt"] = prompt return_value["sentence"] = sentence return HttpResponse(json.dumps(return_value)) monster_effect_text_org = json.loads(monster_effect_det2.monster_effect) if monster_effect_det2.monster_effect_val == 28 or monster_effect_det2.monster_effect_val == 64: return_value = {} return_value["chain_variable"] = True return_value["min"] = duelobj.calculate_boland( monster_effect_text_org["min_equation_number"],None,True ) return_value["max"] = duelobj.calculate_boland( monster_effect_text_org["max_equation_number"],None,True ) return_value["prompt"] = prompt return_value["sentence"] = sentence return HttpResponse(json.dumps(return_value)) elif monster_effect_det2.monster_effect_val == 27 or monster_effect_det2.monster_effect_val == 63: return_value = {} return_value["chain_variable"] = True return_value["min"] = duelobj.calculate_boland( monster_effect_text_org["min_equation_number"] ) return_value["max"] = duelobj.calculate_boland( monster_effect_text_org["max_equation_number"] ) return_value["prompt"] = prompt return_value["sentence"] = sentence return HttpResponse(json.dumps(return_value)) elif ( monster_effect_det2.monster_effect_val == 30 or monster_effect_det2.monster_effect_val == 31 ): sentence = sentence prompt = prompt return show_multiple( duelobj, user, effect_kind, monster_effect_text_org, monster_condition, sentence, prompt, ) if monster_effect_det2.monster_effect_val == 57: return show_as( duelobj, user, effect_kind, monster_effect_text_org, monster_condition, sentence, prompt, ) elif monster_effect_det2.monster_effect_val == 65: return show_as_under( duelobj, user, effect_kind, monster_effect_text_org, monster_condition, sentence, prompt, ) elif monster_effect_det2.monster_effect_val == 59: return show_force( duelobj, user, effect_kind, monster_effect_det2.monster_effect, sentence, prompt ) if ( monster_effect_det2.monster_effect_val == 3 or monster_effect_det2.monster_effect_val == 44 ): if duel.user_turn == effect_user: ask_org = 1 else: ask_org = 2 elif monster_effect_det2.monster_effect_val == 4: other_user_flag = True if duel.user_turn == effect_user: ask_org = 2 else: ask_org = 1 elif monster_effect_det2.monster_effect_val == 5: if duelobj.user != effect_user: other_user_flag = True ask_org = 3 else: ask_org = 0 tmp_val = {} return_val = [] if "whether_monster" in monster_effect_text_org: whether_monster = monster_effect_text_org["whether_monster"] else: whether_monster = 0 monster_effect_text = monster_effect_text_org["monster"] exclude = monster_effect_text_org["exclude"] if "all_flag" in monster_effect_text_org: all_flag = monster_effect_text_org["all_flag"] else: all_flag = False for monster_effect_det in monster_effect_text: monster_effect_det_monster = monster_effect_det["monster"] counter += 1 if duel.user_turn == user: if (counter == 1 and ask_org == 3) or ask_org == 1: place_array = [] place_tmp = monster_effect_det_monster["place"] tmp_place_counter = 0 for place_key in range(len(place_tmp)): place_and_or = place_tmp[place_key]["and_or"] place_det = place_tmp[place_key]["det"] if place_and_or == "": place_and_or = "or" place_array.append([]) place_array[tmp_place_counter].append(place_det) if place_and_or == "and": place_key += 1 place_and_or = place_tmp[place_key]["and_or"] place_det = place_tmp[place_key]["det"] place_array[tmp_place_counter][1] = place_det if place_and_or == "and": place_key += 1 place_and_or = place_tmp[place_key]["and_or"] place_det = place_tmp[place_key]["det"] place_array[tmp_place_counter][2] = place_det if place_and_or == "and": place_key += 1 place_and_or = place_tmp[place_key]["and_or"] place_det = place_tmp[place_key]["det"] place_array[tmp_place_counter][3] = place_det if place_and_or == "and": place_key += 1 place_and_or = place_tmp[place_key]["and_or"] place_det = place_tmp[place_key]["det"] place_array[tmp_place_counter][4] = place_det tmp_place_counter += 1 for place_each in place_array: place_tmp = place_each[0].split("_") if place_tmp[0] == "player" and place_tmp[1] == "1": own_player = True elif place_tmp[0] == "player" and place_tmp[1] == "2": other_player = True elif place_tmp[0] == "deck": deck = Deck.objects.get(id=place_tmp[1]) if deck.mine_or_other == 1: return_val.append( return_deck( duelobj, duel, deck.id, 3, place_tmp[2], deck.deck_name, room_number, exclude, monster_effect_det, ) ) else: return_val.append( return_deck( duelobj, duel, deck.id, user, place_tmp[2], deck.deck_name, room_number, exclude, monster_effect_det, ) ) elif place_tmp[0] == "grave": grave = Grave.objects.get(id=place_tmp[1]) if grave.mine_or_other == 1: return_val.append( return_grave( duelobj, duel, grave.id, 3, place_tmp[2], grave.grave_name, room_number, exclude, monster_effect_det, ) ) else: return_val.append( return_grave( duelobj, duel, grave.id, user, place_tmp[2], grave.grave_name, room_number, exclude, monster_effect_det, ) ) elif place_tmp[0] == "hand": hand = Hand.objects.get(id=place_tmp[1]) if hand.mine_or_other == 1: return_val.append( return_hand( duelobj, duel, hand.id, 3, place_tmp[2], hand.hand_name, room_number, exclude, monster_effect_det, ) ) else: return_val.append( return_hand( duelobj, duel, hand.id, user, place_tmp[2], hand.hand_name, room_number, exclude, monster_effect_det, ) ) elif place_tmp[0] == "field": current_and_or = "or" if duelobj.field_free is True: field_x = 20 else: field_x = field_size.field_x for x in range(field_x): for y in range(field_size.field_y): if field[x][y]["det"] is not None and user != field[x][y]["mine_or_other"] and int(duelobj.check_change_val( field[x][y]["det"], field[x][y]["mine_or_other"], "field", 0, x, y, "show", field[x][y]["mine_or_other"], int(field[x][y]["det"]["variables"]["show"]["value"]) )) == 1: field[x][y]["det"] = None if duelobj.config.sort is True: field = self.sortField(field,y) field[x][y]["hide"] = True flag_field_place = False if duelobj.field_free is False: kind = field[x][y]["kind"] else: kind = field[0][y]["kind"] if kind != "": tmp = kind.split("_") else: tmp = [] if current_and_or == "and": if place_tmp[1] in tmp: if flag_field_place is True: flag_field_place = True else: flag_field_place = False elif current_and_or == "or": if place_tmp[1] in tmp: flag_field_place = True else: if flag_field_place is False: flag_field_place = False mine_or_other = int(place_tmp[2]) if ( mine_or_other == 1 and user == 1 or mine_or_other == 2 and user == 2 ): mine_or_other = 1 elif ( mine_or_other == 1 and user == 2 or mine_or_other == 2 and user == 1 ): mine_or_other = 2 else: mine_or_other = 3 if flag_field_place is False: continue if field[x][y]["mine_or_other"] != mine_or_other: continue if field[x][y]["det"] is not None: if duelobj.check_not_effected( field[x][y]["det"], user, effect_kind, "field", 0, x, y, field[x][y]["mine_or_other"], ): continue tmp2 = {} tmp2["det"] = field[x][y]["det"] tmp2["mine_or_other"] = field[x][y]["mine_or_other"] tmp2["user"] = user tmp2["place"] = "field" tmp2["deck_id"] = 0 tmp2["x"] = x tmp2["y"] = y tmp3 = field[x][y]["det"]["place_unique_id"] tmp2["place_unique_id"] = field[x][y]["det"][ "place_unique_id" ] if not duelobj.check_monster_condition_det( monster_effect_det, field[x][y]["det"], user, effect_kind, 1, "field", x, y, 0 ): continue ask_fields.append(tmp3) elif place_tmp[0] == "under": current_and_or = "or" if duelobj.field_free is True: field_x = 20 else: field_x = field_size.field_x for x in range(field_x): for y in range(field_size.field_y): if field[x][y]["det"] is not None and user != field[x][y]["mine_or_other"] and int(duelobj.check_change_val( field[x][y]["det"], field[x][y]["mine_or_other"], "field", 0, x, y, "show", field[x][y]["mine_or_other"], int(field[x][y]["det"]["variables"]["show"]["value"]) )) == 1: field[x][y]["det"] = None if duelobj.config.sort is True: field = self.sortField(field,y) field[x][y]["hide"] = True flag_field_place = False if duelobj.field_free is False: kind = field[x][y]["kind"] else: kind = field[0][y]["kind"] if kind != "": tmp = kind.split("_") else: tmp = [] if current_and_or == "and": if place_tmp[1] in tmp: if flag_field_place is True: flag_field_place = True else: flag_field_place = False elif current_and_or == "or": if place_tmp[1] in tmp: flag_field_place = True else: if flag_field_place is False: flag_field_place = False mine_or_other = int(place_tmp[2]) if ( mine_or_other == 1 and user == 1 or mine_or_other == 2 and user == 2 ): mine_or_other = 1 elif ( mine_or_other == 1 and user == 2 or mine_or_other == 2 and user == 1 ): mine_or_other = 2 else: mine_or_other = 3 if flag_field_place is False: continue if field[x][y]["mine_or_other"] != mine_or_other: continue if field[x][y]["det"] is not None: if duelobj.check_not_effected( field[x][y]["det"], user, effect_kind, "field", 0, x, y, field[x][y]["mine_or_other"], ): continue if not duelobj.check_monster_condition_det( monster_effect_det, field[x][y]["det"], user, effect_kind, 1, "field", x, y, 0 ): continue if "under" not in field[x][y]["det"]: continue for under in field[x][y]["det"]["under"]: tmp2 = {} tmp2["det"] = under tmp2["mine_or_other"] = field[x][y]["mine_or_other"] tmp2["user"] = user tmp2["place"] = "under" tmp2["deck_id"] = 0 tmp2["x"] = x tmp2["y"] = y tmp3 = under["place_unique_id"] tmp2["place_unique_id"] = under[ "place_unique_id" ] ask_under.append(tmp3) break else: if (counter == 2 and ask_org == 3) or ask_org == 2: place_array = [] place_tmp = monster_effect_det_monster["place"] tmp_place_counter = 0 for place_key in range(len(place_tmp)): place_and_or = place_tmp[place_key]["and_or"] place_det = place_tmp[place_key]["det"] if place_and_or == "": place_and_or = "or" place_array.append([]) place_array[tmp_place_counter].append(place_det) if place_and_or == "and": place_key += 1 place_and_or = place_tmp[place_key]["and_or"] place_det = place_tmp[place_key]["det"] place_array[tmp_place_counter][1] = place_det if place_and_or == "and": place_key += 1 place_and_or = place_tmp[place_key]["and_or"] place_det = place_tmp[place_key]["det"] place_array[tmp_place_counter][2] = place_det if place_and_or == "and": place_key += 1 place_and_or = place_tmp[place_key]["and_or"] place_det = place_tmp[place_key]["det"] place_array[tmp_place_counter][3] = place_det if place_and_or == "and": place_key += 1 place_and_or = place_tmp[place_key]["and_or"] place_det = place_tmp[place_key]["det"] place_array[tmp_place_counter][4] = place_det tmp_place_counter += 1 for place_each in place_array: place_tmp = place_each[0].split("_") if place_tmp[0] == "deck": deck = Deck.objects.get(id=place_tmp[1]) if deck.mine_or_other == 1: return_val.append( return_deck( duelobj, duel, deck.id, 3, place_tmp[2], deck.deck_name, room_number, exclude, monster_effect_det, ) ) else: return_val.append( return_deck( duelobj, duel, deck.id, user, place_tmp[2], deck.deck_name, room_number, exclude, monster_effect_det, ) ) break elif place_tmp[0] == "grave": grave = Grave.objects.get(id=place_tmp[1]) if grave.mine_or_other == 1: return_val.append( return_grave( duelobj, duel, grave.id, 3, place_tmp[2], grave.grave_name, room_number, exclude, monster_effect_det, ) ) else: return_val.append( return_grave( duelobj, duel, grave.id, user, place_tmp[2], grave.grave_name, room_number, exclude, monster_effect_det, ) ) elif place_tmp[0] == "hand": hand = Hand.objects.get(id=place_tmp[1]) if hand.mine_or_other == 1: return_val.append( return_hand( duelobj, duel, hand.id, 3, place_tmp[2], hand.hand_name, room_number, exclude, monster_effect_det, ) ) else: return_val.append( return_hand( duelobj, duel, hand.id, user, place_tmp[2], hand.hand_name, room_number, exclude, monster_effect_det, ) ) elif place_tmp[0] == "field": current_and_or = "or" if duelobj.field_free is True: field_x = 20 else: field_x = field_size.field_x for x in range(field_x): for y in range(field_size.field_y): if field[x][y]["det"] is not None and user != field[x][y]["mine_or_other"] and int(duelobj.check_change_val( field[x][y]["det"], field[x][y]["mine_or_other"], "field", 0, x, y, "show", field[x][y]["mine_or_other"], int(field[x][y]["det"]["variables"]["show"]["value"]) )) == 1: field[x][y]["det"] = None if duelobj.config.sort is True: field = self.sortField(field,y) field[x][y]["hide"] = True flag_field_place = False if duelobj.field_free is False: kind = field[x][y]["kind"] else: kind = field[0][y]["kind"] if kind != "": tmp = kind.split("_") else: tmp = [] if current_and_or == "and": if place_tmp[1] in tmp: if flag_field_place is True: flag_field_place = True else: flag_field_place = False elif current_and_or == "or": if place_tmp[1] in tmp: flag_field_place = True else: if flag_field_place is False: flag_field_place = False mine_or_other = int(place_tmp[2]) if ( mine_or_other == 1 and user == 1 or mine_or_other == 2 and user == 2 ): mine_or_other = 1 elif ( mine_or_other == 1 and user == 2 or mine_or_other == 2 and user == 1 ): mine_or_other = 2 else: mine_or_other = 3 if flag_field_place is False: continue if field[x][y]["mine_or_other"] != mine_or_other: continue if field[x][y]["det"] is not None: if duelobj.check_not_effected( field[x][y]["det"], user, effect_kind, "field", 0, x, y, field[x][y]["mine_or_other"], ): continue tmp2 = {} tmp2["det"] = field[x][y]["det"] tmp2["mine_or_other"] = field[x][y]["mine_or_other"] tmp2["user"] = user tmp2["place"] = "field" tmp2["deck_id"] = 0 tmp2["x"] = x tmp2["y"] = y tmp3 = field[x][y]["det"]["place_unique_id"] tmp2["place_unique_id"] = field[x][y]["det"][ "place_unique_id" ] if not duelobj.check_monster_condition_det( monster_effect_det, field[x][y]["det"], user, effect_kind, 1, "field", x, y, 0 ): continue ask_fields.append(tmp3) elif place_tmp[0] == "under": current_and_or = "or" if duelobj.field_free is True: field_x = 20 else: field_x = field_size.field_x for x in range(field_x): for y in range(field_size.field_y): flag_field_place = False if duelobj.field_free is False: kind = field[x][y]["kind"] else: kind = field[0][y]["kind"] if kind != "": tmp = kind.split("_") else: tmp = [] if current_and_or == "and": if place_tmp[1] in tmp: if flag_field_place is True: flag_field_place = True else: flag_field_place = False elif current_and_or == "or": if place_tmp[1] in tmp: flag_field_place = True else: if flag_field_place is False: flag_field_place = False mine_or_other = int(place_tmp[2]) if ( mine_or_other == 1 and user == 1 or mine_or_other == 2 and user == 2 ): mine_or_other = 1 elif ( mine_or_other == 1 and user == 2 or mine_or_other == 2 and user == 1 ): mine_or_other = 2 else: mine_or_other = 3 if flag_field_place is False: continue if field[x][y]["mine_or_other"] != mine_or_other: continue if field[x][y]["det"] is not None: if duelobj.check_not_effected( field[x][y]["det"], user, effect_kind, "field", 0, x, y, field[x][y]["mine_or_other"], ): continue if not duelobj.check_monster_condition_det( monster_effect_det, field[x][y]["det"], user, effect_kind, 1, "field", x, y, 0 ): continue if "under" not in field[x][y]["det"]: continue for under in field[x][y]["det"]["under"]: tmp2 = {} tmp2["det"] = under tmp2["mine_or_other"] = field[x][y]["mine_or_other"] tmp2["user"] = user tmp2["place"] = "under" tmp2["deck_id"] = 0 tmp2["x"] = x tmp2["y"] = y tmp3 = under["place_unique_id"] tmp2["place_unique_id"] = under[ "place_unique_id" ] ask_under.append(tmp3) if ask_fields: tmp_val["ask_field"] = ask_fields tmp_val["field_info"] = field if ask_under: tmp_val["ask_under"] = under tmp_val["field_info"] = field tmp_val["return_val"] = return_val tmp_val["equation"] = monster_effect_det["equation"]["equation"] tmp_val["equation_kind"] = monster_effect_det["equation"]["equation_kind"] # tmp_val["equation_number"] = monster_effect_det["equation"]["equation_number"] tmp_val["min_equation_number"] = duelobj.calculate_boland( monster_effect_det["min_equation_number"], None, other_user_flag ) tmp_val["max_equation_number"] = duelobj.calculate_boland( monster_effect_det["max_equation_number"], None, other_user_flag ) tmp_val["whether_monster"] = whether_monster tmp_val["sentence"] = sentence tmp_val["prompt"] = prompt tmp_val["monster_name_kind"] = monster_effect_det_monster["monster_name_kind"] if "flag" in monster_effect_det_monster: tmp_val["flag"] = monster_effect_det_monster["flag"] if "monster_condition" in monster_effect_det_monster: tmp_val["variables"] = monster_effect_det_monster["monster_condition"] val_exclude = [] timing_mess = duel.timing_mess if exclude != "": excludes = exclude.split(",") for exclude_det in excludes: if exclude_det[0] == "%": if exclude_det in timing_mess: for timing_det in timing_mess[exclude_det]: val_exclude.append(timing_det["place_unique_id"]) if exclude_det[0] == "~": if exclude_det in cost_chain: for cost_det in cost_chain[exclude_det]: val_exclude.append(cost_det["place_unique_id"]) if exclude_det in mess: for mess_det in mess[exclude_det]: val_exclude.append(mess_det["place_unique_id"]) tmp_val["exclude"] = val_exclude tmp_val["own_player"] = own_player tmp_val["other_player"] = other_player tmp_val["user"] = duelobj.user tmp_val["all_flag"] = all_flag if "from_left" not in monster_effect_text_org or monster_effect_text_org["from_left"] is False: tmp_val["from_left"] = False else: tmp_val["from_left"] = True return HttpResponse(json.dumps(tmp_val)) def return_deck( duelobj, duel, deck_id, user, mine_or_other, deck_name, room_number, exclude="", monster_effect_det=None, ): mine_or_other = int(mine_or_other) html = {} html["deck_id"] = deck_id html["mine_or_other_val"] = mine_or_other cost = duelobj.cost mess = duelobj.mess effect_kind = duel.ask_kind if duel.in_cost is True: if str(duel.chain) in cost: cost_chain = cost[str(duel.chain)] else: cost_chain = [] else: if str(duel.chain - 1) in cost: cost_chain = cost[str(duel.chain - 1)] else: cost_chain = [] if str(duel.chain - 1) in mess: mess = mess[str(duel.chain - 1)] else: mess = [] if mine_or_other == 1: html["mine_or_other"] = "自分の" + deck_name elif mine_or_other == 2: html["mine_or_other"] = "相手の" + deck_name if user == 1: user = 2 elif user == 2: user = 1 else: html["mine_or_other"] = "共通の" + deck_name if mine_or_other == 1: tmp = duelobj.decks[deck_id]["mydeck"] elif mine_or_other == 2: tmp = duelobj.decks[deck_id]["otherdeck"] elif mine_or_other == 3 or mine_or_other == 0: tmp = duelobj.decks[deck_id]["commondeck"] user_decks = tmp html["cards"] = [] for user_deck in user_decks: flag = True if exclude != "": excludes = exclude.split(",") for exclude_det in excludes: if exclude_det in cost_chain: for cost_det in cost_chain[exclude_det]: if user_deck["place_unique_id"] == cost_det["place_unique_id"]: flag = False continue if exclude_det in mess: for mess_det in mess[exclude_det]: if user_deck["place_unique_id"] == mess_det["place_unique_id"]: flag = False continue if not duelobj.check_monster_condition_det( monster_effect_det, user_deck, user, effect_kind, 1, "deck", deck_id, 0, 0 ): flag = False if flag is True: tmp = user_deck html["cards"].append(tmp) return html def return_grave( duelobj, duel, grave_id, user, mine_or_other, grave_name, room_number, exclude="", monster_effect_det=None, ): mine_or_other = int(mine_or_other) cost = json.loads(duel.cost) mess = json.loads(duel.mess) effect_kind = duel.ask_kind html = {} html["grave_id"] = grave_id html["mine_or_other_val"] = mine_or_other if mine_or_other == 1: html["mine_or_other"] = "自分の" + grave_name elif mine_or_other == 2: html["mine_or_other"] = "相手の" + grave_name if user == 1: user = 2 elif user == 2: user = 1 else: html["mine_or_other"] = "共通の" + grave_name if user == 1: tmp = DuelGrave.objects.get( room_number=room_number, mine_or_other=1, grave_id=grave_id ) elif user == 2: tmp = DuelGrave.objects.get( room_number=room_number, mine_or_other=2, grave_id=grave_id ) elif user == 3: tmp = DuelGrave.objects.get( room_number=room_number, mine_or_other=3, grave_id=grave_id ) user_graves = json.loads(tmp.grave_content) html["grave"] = [] for user_grave in user_graves: flag = True if exclude != "": excludes = exclude.split(",") for exclude_det in excludes: if exclude_det in cost: for cost_det in cost[exclude_det]: if user_grave["place_unique_id"] == cost_det["place_unique_id"]: flag = False continue if exclude_det in mess: for mess_det in mess[exclude_det]: if user_grave["place_unique_id"] == mess_det["place_unique_id"]: flag = False continue if ( duelobj.check_monster_condition_det( monster_effect_det, user_grave, user, effect_kind, 1, "grave", grave_id, 0, 0, ) is False ): flag = False if flag is True: tmp = user_grave html["grave"].append(tmp) return html def return_hand( duelobj, duel, hand_id, user, mine_or_other, hand_name, room_number, exclude="", monster_effect_det=None, ): mine_or_other = int(mine_or_other) html = {} html["hand_id"] = hand_id html["mine_or_other_val"] = mine_or_other cost = json.loads(duel.cost) mess = json.loads(duel.mess) timing_mess = json.loads(duel.timing_mess) effect_kind = duel.ask_kind if mine_or_other == 1: html["mine_or_other"] = "自分の" + hand_name elif mine_or_other == 2: html["mine_or_other"] = "相手の" + hand_name if user == 1: user = 2 elif user == 2: user = 1 else: html["mine_or_other"] = "共通の" + hand_name if user == 1: tmp = DuelHand.objects.get( room_number=room_number, mine_or_other=1, hand_id=hand_id ) elif user == 2: tmp = DuelHand.objects.get( room_number=room_number, mine_or_other=2, hand_id=hand_id ) elif user == 3: tmp = DuelHand.objects.get( room_number=room_number, mine_or_other=3, hand_id=hand_id ) user_hands = json.loads(tmp.hand_content) html["hand"] = [] for user_hand in user_hands: flag = True if exclude != "": excludes = exclude.split(",") for exclude_det in excludes: if exclude_det[0] == "~": if exclude_det in cost: for cost_det in cost[exclude_det]: if ( user_hand["place_unique_id"] == cost_det["place_unique_id"] ): flag = False continue elif exclude_det[0] == "%": if exclude_det in timing_mess: for timing_det in timing_mess[exclude_det]: if ( user_hand["place_unique_id"] == timing_det["place_unique_id"] ): flag = False continue elif exclude_det in mess: for mess_det in mess[exclude_det]: if user_hand["place_unique_id"] == mess_det["place_unique_id"]: flag = False continue if ( duelobj.check_monster_condition_det( monster_effect_det, user_hand, user, effect_kind, 1, "hand", hand_id, 0, 0, ) is False ): flag = False if flag is True: tmp = user_hand html["hand"].append(tmp) return html def show_force( duelobj, user, effect_kind, monster_effect,sentence, prompt ): det = json.loads(monster_effect) deck_id = det["deck_id"] ignore_timing = det["ignore_timing"] if user == 1: other_user = 2 else: other_user = 1 mine_or_other = other_user duel = duelobj.duel return_value = [] hand = duelobj.hands[deck_id]["otherhand"] user_hands = hand i=0 for user_hand in user_hands: id = duelobj.get_monster_id( user_hand, "hand", other_user,i, 0, 0, mine_or_other ) monster_det = Monster.objects.get(id=id) triggers = monster_det.trigger.all() triggers = triggers.filter(trigger_timing=False) phase = duel.phase turn = duel.user_turn place_unique_id = user_hand["place_unique_id"] tmp2 = {} tmp2["det"] = user_hand tmp2["mine_or_other"] = mine_or_other tmp2["user"] = user tmp2["place"] = "hand" tmp2["deck_id"] = deck_id tmp2["x"] = 0 tmp2["y"] = 0 tmp2["place_unique_id"] = user_hand["place_unique_id"] tmp2["able"] = 0 if user_hand["flag"]== 0: for trigger in triggers: if duelobj.check_launch_trigger_ignore_chain_and_timing( trigger, phase, turn, other_user, user, mine_or_other, "hand", place_unique_id, deck_id, ignore_timing ): tmp2["able"] = 1 return_value.append(tmp2) tmp_val = {} tmp_val["return_val"] = return_value tmp_val["force_effect"] = 1 tmp_val["user"] = duelobj.user tmp_val["sentence"] = sentence tmp_val["prompt"] = prompt return HttpResponse(json.dumps(tmp_val)) def show_as( duelobj, user, effect_kind, monster_effect_text, monster_condition, sentence, prompt ): ask_fields = [] ask_under = [] duel = duelobj.duel field = duelobj.field return_value = [] for monster_effect_det in monster_effect_text["monster"]: if ( "as_monster_condition" in monster_effect_det and monster_effect_det["as_monster_condition"] != "" ): as_monsters = monster_effect_det["as_monster_condition"] if not isinstance(as_monsters, list): tmp_monster = [] tmp_monster.append(as_monsters) as_monsters = tmp_monster for as_monster in as_monsters: if as_monster[0] == "~": tmp = duelobj.cost tmp = tmp[str(int(duel.chain))] if as_monster not in tmp: continue place1 = tmp[as_monster] elif as_monster[0] == "%": tmp = duelobj.timing_mess if as_monster not in tmp: continue place1 = tmp[as_monster] else: tmp = duelobj.mess tmp = tmp[str(int(duel.chain - 1))] if as_monster not in tmp: continue place1 = tmp[as_monster] for place2 in place1: if monster_condition != "": if not duelobj.validate_answer( place2, monster_condition, "", duel ): continue if place2["place"] == "field": x = place2["x"] y = place2["y"] if duelobj.check_not_effected( field[x][y]["det"], user, effect_kind, "field", 0, x, y, field[x][y]["mine_or_other"], ): continue tmp2 = {} tmp2["det"] = field[x][y]["det"] tmp2["mine_or_other"] = field[x][y]["mine_or_other"] tmp2["user"] = user tmp2["place"] = "field" tmp2["deck_id"] = 0 tmp2["x"] = x tmp2["y"] = y tmp3 = field[x][y]["det"]["place_unique_id"] tmp2["place_unique_id"] = field[x][y]["det"][ "place_unique_id" ] if not duelobj.check_monster_condition_det( monster_effect_det, field[x][y]["det"], user, effect_kind, 1, "field", x, y, 0 ): continue ask_fields.append(tmp3) if place2["place"] == "under": x = place2["x"] y = place2["y"] if duelobj.check_not_effected( field[x][y]["det"], user, effect_kind, "field", 0, x, y, field[x][y]["mine_or_other"], ): continue if not duelobj.check_monster_condition_det( monster_effect_det, field[x][y]["det"], user, effect_kind, 1, "field", x, y, 0 ): continue if "under" not in field[x][y]["det"]: continue for under in field[x][y]["det"]["under"]: tmp2 = {} tmp2["det"] = under tmp2["mine_or_other"] = field[x][y]["mine_or_other"] tmp2["user"] = user tmp2["place"] = "under" tmp2["deck_id"] = 0 tmp2["x"] = x tmp2["y"] = y tmp3 = under["place_unique_id"] tmp2["place_unique_id"] = under[ "place_unique_id" ] ask_under.append(tmp3) tmp_val = {} if ask_fields: tmp_val["ask_field"] = ask_fields tmp_val["field_info"] = field if ask_under: tmp_val["ask_under"] = ask_under tmp_val["field_info"] = field tmp_val["return_val"] = return_value tmp_val["min_equation_number"] = duelobj.calculate_boland( monster_effect_det["min_equation_number"] ) tmp_val["max_equation_number"] = duelobj.calculate_boland( monster_effect_det["max_equation_number"] ) tmp_val["user"] = duelobj.user tmp_val["whether_monster"] = 1 tmp_val["exclude"] = [] tmp_val["sentence"] = sentence tmp_val["prompt"] = prompt return HttpResponse(json.dumps(tmp_val)) def show_as_under( duelobj, user, effect_kind, monster_effect_text, monster_condition, sentence, prompt ): ask_under = [] duel = duelobj.duel field = duelobj.field return_value = [] for monster_effect_det in monster_effect_text["monster"]: if ( "as_monster_condition" in monster_effect_det and monster_effect_det["as_monster_condition"] != "" ): as_monsters = monster_effect_det["as_monster_condition"] if not isinstance(as_monsters, list): tmp_monster = [] tmp_monster.append(as_monsters) as_monsters = tmp_monster for as_monster in as_monsters: if as_monster[0] == "~": tmp = duelobj.cost tmp = tmp[str(int(duel.chain))] if as_monster not in tmp: continue place1 = tmp[as_monster] elif as_monster[0] == "%": tmp = duelobj.timing_mess if as_monster not in tmp: continue place1 = tmp[as_monster] else: tmp = duelobj.mess tmp = tmp[str(int(duel.chain - 1))] if as_monster not in tmp: continue place1 = tmp[as_monster] for place2 in place1: if monster_condition != "": if not duelobj.validate_answer( place2, monster_condition, "", duel ): continue if place2["place"] == "field": x = place2["x"] y = place2["y"] if duelobj.check_not_effected( field[x][y]["det"], user, effect_kind, "field", 0, x, y, field[x][y]["mine_or_other"], ): continue tmp2 = {} tmp2["det"] = field[x][y]["det"] tmp2["mine_or_other"] = field[x][y]["mine_or_other"] tmp2["user"] = user tmp2["place"] = "field" tmp2["deck_id"] = 0 tmp2["x"] = x tmp2["y"] = y tmp3 = field[x][y]["det"]["place_unique_id"] tmp2["place_unique_id"] = field[x][y]["det"][ "place_unique_id" ] if not duelobj.check_monster_condition_det( monster_effect_det, field[x][y]["det"], user, effect_kind, 1, "field", x, y, 0 ): continue if "under" not in field[x][y]["det"]: continue for under in field[x][y]["det"]["under"]: tmp2 = {} tmp2["det"] = under tmp2["mine_or_other"] = field[x][y]["mine_or_other"] tmp2["user"] = user tmp2["place"] = "under" tmp2["deck_id"] = 0 tmp2["x"] = x tmp2["y"] = y tmp3 = under["place_unique_id"] tmp2["place_unique_id"] = under[ "place_unique_id" ] ask_under.append(tmp3) tmp_val = {} if ask_under: tmp_val["ask_under"] = ask_under tmp_val["field_info"] = field tmp_val["return_val"] = return_value tmp_val["min_equation_number"] = duelobj.calculate_boland( monster_effect_det["min_equation_number"] ) tmp_val["max_equation_number"] = duelobj.calculate_boland( monster_effect_det["max_equation_number"] ) tmp_val["user"] = duelobj.user tmp_val["whether_monster"] = 1 tmp_val["exclude"] = [] tmp_val["sentence"] = sentence tmp_val["prompt"] = prompt return HttpResponse(json.dumps(tmp_val)) def show_multiple( duelobj, user, effect_kind, monster_effect_text, monster_condition, sentence, prompt ): duel = duelobj.duel if "whether_monster" in monster_effect_text: whether_monster = monster_effect_text["whether_monster"] exclude = monster_effect_text["exclude"] return_value = [] tmp0 = [] tmp1 = [] return_value.append(tmp0) return_value.append(tmp1) counter = 0 for monster_effect_det in monster_effect_text["monster"]: counter += 1 if counter == 2: effect_kind = monster_effect_text["multiple_effect_kind"] monster_effect_det_monster = monster_effect_det["monster"] if ( "as_monster_condition" in monster_effect_det and monster_effect_det["as_monster_condition"] != "" ): as_monsters = monster_effect_det["as_monster_condition"] if not isinstance(as_monsters, list): tmp_monster = [] tmp_monster.append(as_monsters) as_monsters = tmp_monster for as_monster in as_monsters: if as_monster[0] == "~": tmp = duelobj.cost tmp = tmp[str(int(duel.chain))] if as_monster not in tmp: continue place1 = tmp[as_monster] elif as_monster[0] == "%": tmp = duelobj.timing_mess if as_monster not in tmp: continue place1 = tmp[as_monster] else: tmp = duelobj.mess tmp = tmp[str(int(duel.chain - 1))] if as_monster not in tmp: continue place1 = tmp[as_monster] for place2 in place1: if monster_condition != "": if not duelobj.validate_answer( place2, monster_condition, "", duel ): continue if counter == 1: return_value[0].append(place2) else: return_value[1].append(place2) else: place_array_tmp = [] for place in monster_effect_det_monster["place"]: place_tmp = place["det"].split("_") if place["and_or"] != "" and place_tmp[0] == "field": tmptmp = {} tmptmp["and_or"] = place["and_or"] tmptmp["det"] = place["det"] place_array_tmp.append(tmptmp) continue else: tmptmp = {} tmptmp["and_or"] = place["and_or"] tmptmp["det"] = place["det"] place_array_tmp.append(tmptmp) place_array = place_array_tmp place_array_tmp = [] if place_tmp[2] == "1": mine_or_other2 = 1 elif place_tmp[2] == "2": mine_or_other2 = 2 elif place_tmp[2] == "3": mine_or_other2 = 3 if user == 1: mine_or_other = mine_or_other2 else: if mine_or_other2 == 1: mine_or_other = 2 elif mine_or_other2 == 2: mine_or_other = 1 else: mine_or_other = mine_or_other2 deck_id = int(place_tmp[1]) if place_tmp[0] == "deck": if mine_or_other2 == 1: deck = duelobj.decks[deck_id]["mydeck"] elif mine_or_other2 == 2: deck = duelobj.decks[deck_id]["otherdeck"] elif mine_or_other2 == 3: deck = duelobj.decks[deck_id]["commondeck"] user_decks = deck for user_deck in user_decks: tmp2 = {} tmp2["det"] = user_deck tmp2["mine_or_other"] = mine_or_other tmp2["user"] = user tmp2["place"] = "deck" tmp2["deck_id"] = deck_id tmp2["x"] = 0 tmp2["y"] = 0 tmp2["place_unique_id"] = user_deck["place_unique_id"] if counter == 1: return_value[0].append(tmp2) else: return_value[1].append(tmp2) elif place_tmp[0] == "grave": if mine_or_other2 == 1: grave = duelobj.graves[deck_id]["mygrave"] elif mine_or_other2 == 2: grave = duelobj.graves[deck_id]["othergrave"] elif mine_or_other2 == 3: grave = duelobj.graves[deck_id]["commongrave"] user_graves = grave for user_grave in user_graves: tmp2 = {} tmp2["det"] = user_grave tmp2["mine_or_other"] = mine_or_other tmp2["user"] = user tmp2["place"] = "grave" tmp2["deck_id"] = deck_id tmp2["x"] = 0 tmp2["y"] = 0 tmp2["place_unique_id"] = user_grave["place_unique_id"] if counter == 1: return_value[0].append(tmp2) else: return_value[1].append(tmp2) elif place_tmp[0] == "hand": if mine_or_other2 == 1: hand = duelobj.hands[deck_id]["myhand"] elif mine_or_other2 == 2: hand = duelobj.hands[deck_id]["otherhand"] elif mine_or_other2 == 3: hand = duelobj.hands[deck_id]["commonhand"] user_hands = hand for user_hand in user_hands: tmp2 = {} tmp2["det"] = user_hand tmp2["mine_or_other"] = mine_or_other tmp2["user"] = user tmp2["place"] = "hand" tmp2["deck_id"] = deck_id tmp2["x"] = 0 tmp2["y"] = 0 tmp2["place_unique_id"] = user_hand["place_unique_id"] if counter == 1: return_value[0].append(tmp2) else: return_value[1].append(tmp2) elif place_tmp[0] == "field": field_size = FieldSize.objects.get(id=1) field = duelobj.field if duelobj.field_free is True: field_x = 20 else: field_x = field_size.field_x for x in range(field_x): for y in range(field_size.field_y): flag_field_place = True current_and_or = "and" mine_or_others = [] for place_tmp2 in place_array: and_or = place_tmp2["and_or"] det = place_tmp2["det"] splitted_det = det.split("_") kind2 = splitted_det[1] if duelobj.field_free is False: kind = field[x][y]["kind"] else: kind = field[0][y]["kind"] if kind != "": tmp = kind.split("_") else: tmp = [] if current_and_or == "and": if kind2 in tmp: if flag_field_place is True: flag_field_place = True else: flag_field_place = False elif current_and_or == "or": if kind2 in tmp: flag_field_place = True else: if flag_field_place is False: flag_field_place = False mine_or_other = int(splitted_det[2]) if ( mine_or_other == 1 and user == 1 or mine_or_other == 2 and user == 2 ): mine_or_other = 1 elif ( mine_or_other == 1 and user == 2 or mine_or_other == 2 and user == 1 ): mine_or_other = 2 else: mine_or_other = 3 mine_or_others.append(mine_or_other) if flag_field_place is False: continue if field[x][y]["mine_or_other"] not in mine_or_others: continue if field[x][y]["det"] is not None: if duelobj.check_not_effected( field[x][y]["det"], user, effect_kind, "field", 0, x, y, field[x][y]["mine_or_other"], ): continue tmp2 = {} tmp2["det"] = field[x][y]["det"] tmp2["mine_or_other"] = field[x][y]["mine_or_other"] tmp2["user"] = user tmp2["place"] = "field" tmp2["deck_id"] = 0 tmp2["x"] = x tmp2["y"] = y tmp2["place_unique_id"] = field[x][y]["det"][ "place_unique_id" ] if not duelobj.validate_answer( tmp2, monster_effect_det["monster"], exclude, duel ): continue ''' if "under" not in field[x][y]["det"]: continue for under in field[x][y]["det"]["under"]: if not duelobj.validate_answer( tmp2, monster_effect_det["monster"], exclude, duel ): continue ''' if whether_monster == 0: if field[x][y]["det"] is not None: continue tmp2 = {} tmp2["det"] = field[x][y]["det"] if duelobj.field_free is True: tmp2["mine_or_other"] = field[0][y]["mine_or_other"] elif duelobj.field_free is False: tmp2["mine_or_other"] = field[x][y]["mine_or_other"] tmp2["hide"] = ( field["hide"] if ("hide" in field[x][y]) else False ) tmp2["x"] = x tmp2["y"] = y tmp2["deck_id"] = 0 tmp2["user"] = user tmp2["place"] = "field" if counter == 1: return_value[0].append(tmp2) else: return_value[1].append(tmp2) else: if field[x][y]["det"] is None: continue tmp2 = {} tmp2["det"] = field[x][y]["det"] if duelobj.field_free is True: tmp2["mine_or_other"] = field[0][y]["mine_or_other"] elif duelobj.field_free is False: tmp2["mine_or_other"] = field[x][y]["mine_or_other"] tmp2["hide"] = ( field["hide"] if ("hide" in field[x][y]) else False ) tmp2["x"] = x tmp2["y"] = y tmp2["deck_id"] = 0 tmp2["user"] = user tmp2["place"] = "field" if counter == 1: return_value[0].append(tmp2) else: return_value[1].append(tmp2) tmp_val = {} tmp_val["return_val"] = return_value tmp_val["multiple"] = True if "auto_select" not in monster_effect_text: tmp_val["auto_select"] = "" else: tmp_val["auto_select"] = monster_effect_text["auto_select"] if "double" not in monster_effect_text: tmp_val["double"] = False else: tmp_val["double"] = monster_effect_text["double"] tmp_val["min_equation_number"] = duelobj.calculate_boland( monster_effect_det["min_equation_number"] ) tmp_val["max_equation_number"] = duelobj.calculate_boland( monster_effect_det["max_equation_number"] ) tmp_val["user"] = duelobj.user tmp_val["sentence"] = sentence tmp_val["prompt"] = prompt return HttpResponse(json.dumps(tmp_val))

44.587907

141

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7,750

87,749

4.117806

0.027226

0.032526

0.053082

0.018801

0.874409

0.836806

0.807195

0.773791

0.757591

0.747282

0

0.017253

0.529054

87,749

1,967

142

44.610574

0.754991

0.000889

0

0.804359

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false

0.000519

0.003114

0

0.025428

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0

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1

0

1

0

null

0

8

3fceed087facb7d0925e97a2ad21a77ff81435a5

8,659

py

Python

asv_bench/benchmarks/inference.py

springcoil/pandas

945075ad78cef652039feb50d60092b0580604e6

[ "PSF-2.0", "Apache-2.0", "BSD-2-Clause", "BSD-3-Clause" ]

2

2017-05-07T02:08:12.000Z

2017-12-14T01:47:47.000Z

asv_bench/benchmarks/inference.py

springcoil/pandas

945075ad78cef652039feb50d60092b0580604e6

[ "PSF-2.0", "Apache-2.0", "BSD-2-Clause", "BSD-3-Clause" ]

null

asv_bench/benchmarks/inference.py

springcoil/pandas

945075ad78cef652039feb50d60092b0580604e6

[ "PSF-2.0", "Apache-2.0", "BSD-2-Clause", "BSD-3-Clause" ]

1

2020-12-09T12:02:39.000Z

from .pandas_vb_common import * import pandas as pd class dtype_infer_datetime64(object): goal_time = 0.2 def setup(self): self.N = 500000 self.df_int64 = DataFrame(dict(A=np.arange(self.N, dtype='int64'), B=np.arange(self.N, dtype='int64'))) self.df_int32 = DataFrame(dict(A=np.arange(self.N, dtype='int32'), B=np.arange(self.N, dtype='int32'))) self.df_uint32 = DataFrame(dict(A=np.arange(self.N, dtype='uint32'), B=np.arange(self.N, dtype='uint32'))) self.df_float64 = DataFrame(dict(A=np.arange(self.N, dtype='float64'), B=np.arange(self.N, dtype='float64'))) self.df_float32 = DataFrame(dict(A=np.arange(self.N, dtype='float32'), B=np.arange(self.N, dtype='float32'))) self.df_datetime64 = DataFrame(dict(A=pd.to_datetime(np.arange(self.N, dtype='int64'), unit='ms'), B=pd.to_datetime(np.arange(self.N, dtype='int64'), unit='ms'))) self.df_timedelta64 = DataFrame(dict(A=(self.df_datetime64['A'] - self.df_datetime64['B']), B=self.df_datetime64['B'])) def time_dtype_infer_datetime64(self): (self.df_datetime64['A'] - self.df_datetime64['B']) class dtype_infer_float32(object): goal_time = 0.2 def setup(self): self.N = 500000 self.df_int64 = DataFrame(dict(A=np.arange(self.N, dtype='int64'), B=np.arange(self.N, dtype='int64'))) self.df_int32 = DataFrame(dict(A=np.arange(self.N, dtype='int32'), B=np.arange(self.N, dtype='int32'))) self.df_uint32 = DataFrame(dict(A=np.arange(self.N, dtype='uint32'), B=np.arange(self.N, dtype='uint32'))) self.df_float64 = DataFrame(dict(A=np.arange(self.N, dtype='float64'), B=np.arange(self.N, dtype='float64'))) self.df_float32 = DataFrame(dict(A=np.arange(self.N, dtype='float32'), B=np.arange(self.N, dtype='float32'))) self.df_datetime64 = DataFrame(dict(A=pd.to_datetime(np.arange(self.N, dtype='int64'), unit='ms'), B=pd.to_datetime(np.arange(self.N, dtype='int64'), unit='ms'))) self.df_timedelta64 = DataFrame(dict(A=(self.df_datetime64['A'] - self.df_datetime64['B']), B=self.df_datetime64['B'])) def time_dtype_infer_float32(self): (self.df_float32['A'] + self.df_float32['B']) class dtype_infer_float64(object): goal_time = 0.2 def setup(self): self.N = 500000 self.df_int64 = DataFrame(dict(A=np.arange(self.N, dtype='int64'), B=np.arange(self.N, dtype='int64'))) self.df_int32 = DataFrame(dict(A=np.arange(self.N, dtype='int32'), B=np.arange(self.N, dtype='int32'))) self.df_uint32 = DataFrame(dict(A=np.arange(self.N, dtype='uint32'), B=np.arange(self.N, dtype='uint32'))) self.df_float64 = DataFrame(dict(A=np.arange(self.N, dtype='float64'), B=np.arange(self.N, dtype='float64'))) self.df_float32 = DataFrame(dict(A=np.arange(self.N, dtype='float32'), B=np.arange(self.N, dtype='float32'))) self.df_datetime64 = DataFrame(dict(A=pd.to_datetime(np.arange(self.N, dtype='int64'), unit='ms'), B=pd.to_datetime(np.arange(self.N, dtype='int64'), unit='ms'))) self.df_timedelta64 = DataFrame(dict(A=(self.df_datetime64['A'] - self.df_datetime64['B']), B=self.df_datetime64['B'])) def time_dtype_infer_float64(self): (self.df_float64['A'] + self.df_float64['B']) class dtype_infer_int32(object): goal_time = 0.2 def setup(self): self.N = 500000 self.df_int64 = DataFrame(dict(A=np.arange(self.N, dtype='int64'), B=np.arange(self.N, dtype='int64'))) self.df_int32 = DataFrame(dict(A=np.arange(self.N, dtype='int32'), B=np.arange(self.N, dtype='int32'))) self.df_uint32 = DataFrame(dict(A=np.arange(self.N, dtype='uint32'), B=np.arange(self.N, dtype='uint32'))) self.df_float64 = DataFrame(dict(A=np.arange(self.N, dtype='float64'), B=np.arange(self.N, dtype='float64'))) self.df_float32 = DataFrame(dict(A=np.arange(self.N, dtype='float32'), B=np.arange(self.N, dtype='float32'))) self.df_datetime64 = DataFrame(dict(A=pd.to_datetime(np.arange(self.N, dtype='int64'), unit='ms'), B=pd.to_datetime(np.arange(self.N, dtype='int64'), unit='ms'))) self.df_timedelta64 = DataFrame(dict(A=(self.df_datetime64['A'] - self.df_datetime64['B']), B=self.df_datetime64['B'])) def time_dtype_infer_int32(self): (self.df_int32['A'] + self.df_int32['B']) class dtype_infer_int64(object): goal_time = 0.2 def setup(self): self.N = 500000 self.df_int64 = DataFrame(dict(A=np.arange(self.N, dtype='int64'), B=np.arange(self.N, dtype='int64'))) self.df_int32 = DataFrame(dict(A=np.arange(self.N, dtype='int32'), B=np.arange(self.N, dtype='int32'))) self.df_uint32 = DataFrame(dict(A=np.arange(self.N, dtype='uint32'), B=np.arange(self.N, dtype='uint32'))) self.df_float64 = DataFrame(dict(A=np.arange(self.N, dtype='float64'), B=np.arange(self.N, dtype='float64'))) self.df_float32 = DataFrame(dict(A=np.arange(self.N, dtype='float32'), B=np.arange(self.N, dtype='float32'))) self.df_datetime64 = DataFrame(dict(A=pd.to_datetime(np.arange(self.N, dtype='int64'), unit='ms'), B=pd.to_datetime(np.arange(self.N, dtype='int64'), unit='ms'))) self.df_timedelta64 = DataFrame(dict(A=(self.df_datetime64['A'] - self.df_datetime64['B']), B=self.df_datetime64['B'])) def time_dtype_infer_int64(self): (self.df_int64['A'] + self.df_int64['B']) class dtype_infer_timedelta64_1(object): goal_time = 0.2 def setup(self): self.N = 500000 self.df_int64 = DataFrame(dict(A=np.arange(self.N, dtype='int64'), B=np.arange(self.N, dtype='int64'))) self.df_int32 = DataFrame(dict(A=np.arange(self.N, dtype='int32'), B=np.arange(self.N, dtype='int32'))) self.df_uint32 = DataFrame(dict(A=np.arange(self.N, dtype='uint32'), B=np.arange(self.N, dtype='uint32'))) self.df_float64 = DataFrame(dict(A=np.arange(self.N, dtype='float64'), B=np.arange(self.N, dtype='float64'))) self.df_float32 = DataFrame(dict(A=np.arange(self.N, dtype='float32'), B=np.arange(self.N, dtype='float32'))) self.df_datetime64 = DataFrame(dict(A=pd.to_datetime(np.arange(self.N, dtype='int64'), unit='ms'), B=pd.to_datetime(np.arange(self.N, dtype='int64'), unit='ms'))) self.df_timedelta64 = DataFrame(dict(A=(self.df_datetime64['A'] - self.df_datetime64['B']), B=self.df_datetime64['B'])) def time_dtype_infer_timedelta64_1(self): (self.df_timedelta64['A'] + self.df_timedelta64['B']) class dtype_infer_timedelta64_2(object): goal_time = 0.2 def setup(self): self.N = 500000 self.df_int64 = DataFrame(dict(A=np.arange(self.N, dtype='int64'), B=np.arange(self.N, dtype='int64'))) self.df_int32 = DataFrame(dict(A=np.arange(self.N, dtype='int32'), B=np.arange(self.N, dtype='int32'))) self.df_uint32 = DataFrame(dict(A=np.arange(self.N, dtype='uint32'), B=np.arange(self.N, dtype='uint32'))) self.df_float64 = DataFrame(dict(A=np.arange(self.N, dtype='float64'), B=np.arange(self.N, dtype='float64'))) self.df_float32 = DataFrame(dict(A=np.arange(self.N, dtype='float32'), B=np.arange(self.N, dtype='float32'))) self.df_datetime64 = DataFrame(dict(A=pd.to_datetime(np.arange(self.N, dtype='int64'), unit='ms'), B=pd.to_datetime(np.arange(self.N, dtype='int64'), unit='ms'))) self.df_timedelta64 = DataFrame(dict(A=(self.df_datetime64['A'] - self.df_datetime64['B']), B=self.df_datetime64['B'])) def time_dtype_infer_timedelta64_2(self): (self.df_timedelta64['A'] + self.df_timedelta64['A']) class dtype_infer_uint32(object): goal_time = 0.2 def setup(self): self.N = 500000 self.df_int64 = DataFrame(dict(A=np.arange(self.N, dtype='int64'), B=np.arange(self.N, dtype='int64'))) self.df_int32 = DataFrame(dict(A=np.arange(self.N, dtype='int32'), B=np.arange(self.N, dtype='int32'))) self.df_uint32 = DataFrame(dict(A=np.arange(self.N, dtype='uint32'), B=np.arange(self.N, dtype='uint32'))) self.df_float64 = DataFrame(dict(A=np.arange(self.N, dtype='float64'), B=np.arange(self.N, dtype='float64'))) self.df_float32 = DataFrame(dict(A=np.arange(self.N, dtype='float32'), B=np.arange(self.N, dtype='float32'))) self.df_datetime64 = DataFrame(dict(A=pd.to_datetime(np.arange(self.N, dtype='int64'), unit='ms'), B=pd.to_datetime(np.arange(self.N, dtype='int64'), unit='ms'))) self.df_timedelta64 = DataFrame(dict(A=(self.df_datetime64['A'] - self.df_datetime64['B']), B=self.df_datetime64['B'])) def time_dtype_infer_uint32(self): (self.df_uint32['A'] + self.df_uint32['B'])

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170

0.662663

1,389

8,659

4.011519

0.028078

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null

0

1

0

1

0

null

0

9

b774ddaaa63196701c6d973c77ca7b106909f839

4,360

py

Python

tests/test_start_instance_with_below_ask_price_jobs.py

javidgon/sharedcloud-cli

27eb21dab1e18148f5eb44fed148d4dc458c5a19

[ "MIT" ]

null

tests/test_start_instance_with_below_ask_price_jobs.py

javidgon/sharedcloud-cli

27eb21dab1e18148f5eb44fed148d4dc458c5a19

[ "MIT" ]

null

tests/test_start_instance_with_below_ask_price_jobs.py

javidgon/sharedcloud-cli

27eb21dab1e18148f5eb44fed148d4dc458c5a19

[ "MIT" ]

null

import multiprocessing import os import time from tests.constants import Image, InstanceType, Message from tests.test_utils import TestUtils, TestWrapper # Workflow def test_user_start_instance_and_process_one_batch_of_jobs_that_end_up_not_being_processed_because_their_bid_price_is_too_low(): file = os.path.dirname(os.path.abspath(__file__)) + '/files/func_python36.py' parameters = '((1,),(2,),(3,))' account_uuid, email, username, password = TestWrapper.create_beta_account_successfully() TestWrapper.login_successfully(username=username, password=password) instance_uuid, instance_name = TestWrapper.create_instance_successfully( type=InstanceType.CPU, ask_price=1.5, max_num_parallel_jobs=3 ) TestWrapper.download_image_successfully(registry_path=Image.WEB_CRAWLING_PYTHON36['path']) function_uuid, function_name = TestWrapper.create_function_successfully( image_uuid=Image.WEB_CRAWLING_PYTHON36['uuid'], file=file) run_uuid = TestWrapper.create_run_successfully( function_uuid=function_uuid, parameters=parameters, bid_price=1.0) TestWrapper.check_list_jobs_output( expected_status=['CREATED', 'CREATED', 'CREATED'], expected_num_jobs=3 ) p = multiprocessing.Process(target=TestUtils.start_instance, name="start_instance", kwargs={}) p.start() time.sleep(5) TestWrapper.check_list_instances_output( expected_uuid=[instance_uuid], expected_name=[instance_name], expected_status=['AVAILABLE'], expected_ask_price=['1.5'], expected_num_running_jobs=['0'], expected_max_num_parallel_jobs=['3'], expected_num_instances=1 ) TestWrapper.check_list_jobs_output( expected_status=['CREATED', 'CREATED', 'CREATED'], expected_num_jobs=3 ) p.terminate() TestWrapper.clean_image_successfully(registry_path=Image.WEB_CRAWLING_PYTHON36['path']) TestWrapper.delete_instance_successfully(uuid=instance_uuid) TestWrapper.delete_function_successfully(uuid=function_uuid) TestWrapper.delete_account_successfully() def test_user_start_instance_and_process_two_batches_of_jobs_with_only_one_being_processed_because_the_other_bid_price_is_too_low(): file = os.path.dirname(os.path.abspath(__file__)) + '/files/func_python36.py' parameters = '((1,),(2,),(3,))' account_uuid, email, username, password = TestWrapper.create_beta_account_successfully() TestWrapper.login_successfully(username=username, password=password) instance_uuid, instance_name = TestWrapper.create_instance_successfully( type=InstanceType.CPU, ask_price=1.5, max_num_parallel_jobs=3 ) TestWrapper.download_image_successfully(registry_path=Image.WEB_CRAWLING_PYTHON36['path']) function_uuid, function_name = TestWrapper.create_function_successfully( image_uuid=Image.WEB_CRAWLING_PYTHON36['uuid'], file=file) run_uuid = TestWrapper.create_run_successfully( function_uuid=function_uuid, parameters=parameters, bid_price=1.0) run_uuid = TestWrapper.create_run_successfully( function_uuid=function_uuid, parameters=parameters, bid_price=2.0) TestWrapper.check_list_jobs_output( expected_status=['CREATED', 'CREATED', 'CREATED', 'CREATED', 'CREATED', 'CREATED'], expected_num_jobs=6 ) p = multiprocessing.Process(target=TestUtils.start_instance, name="start_instance", kwargs={}) p.start() time.sleep(5) TestWrapper.check_list_instances_output( expected_uuid=[instance_uuid], expected_name=[instance_name], expected_status=['AVAILABLE'], expected_ask_price=['1.5'], expected_num_running_jobs=['3'], expected_max_num_parallel_jobs=['3'], expected_num_instances=1 ) TestWrapper.check_list_jobs_output( expected_status=['CREATED', 'CREATED', 'CREATED', 'IN_PROGRESS', 'IN_PROGRESS', 'IN_PROGRESS'], expected_num_jobs=6 ) p.join(30.0) # 30 seconds of timeout p.terminate() TestWrapper.clean_image_successfully(registry_path=Image.WEB_CRAWLING_PYTHON36['path']) TestWrapper.delete_instance_successfully(uuid=instance_uuid) TestWrapper.delete_function_successfully(uuid=function_uuid) TestWrapper.delete_account_successfully()

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132

0.743807

518

4,360

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0.198842

0.050909

0.048595

0.047603

0.899174

0.893223

0.881322

0.858843

0

0.014913

0.154128

4,360

123

133

35.447154

0.805315

0.006881

0

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0

0.068408

0.010631

0

1

0.022727

false

0.045455

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0

null

0

1

0

1

0

null

0

7

b78cb17aff590612533daab6f09ad3e77420a8b9

2,230

py

Python

src/config/assets.py

dvitorsantos/Bob-Pygame

940b744391bb528cf305c137b64a3f8c5adf2ea6

[ "MIT" ]

1

2021-09-12T15:09:59.000Z

src/config/assets.py

dvitorsantos/Bob-Pygame

940b744391bb528cf305c137b64a3f8c5adf2ea6

[ "MIT" ]

null

src/config/assets.py

dvitorsantos/Bob-Pygame

940b744391bb528cf305c137b64a3f8c5adf2ea6

[ "MIT" ]

null

import os import pygame correr = [pygame.image.load(os.path.join("../assets/bobesponja/run", "0.png")), pygame.image.load(os.path.join("../assets/bobesponja/run", "1.png")), pygame.image.load(os.path.join("../assets/bobesponja/run", "2.png")), pygame.image.load(os.path.join("../assets/bobesponja/run", "3.png")), pygame.image.load(os.path.join("../assets/bobesponja/run", "4.png")), pygame.image.load(os.path.join("../assets/bobesponja/run", "5.png")), pygame.image.load(os.path.join("../assets/bobesponja/run", "6.png")), pygame.image.load(os.path.join("../assets/bobesponja/run", "7.png")), pygame.image.load(os.path.join("../assets/bobesponja/run", "8.png"))] pular = pygame.image.load(os.path.join("../assets/bobesponja/jump", "1.png")) agachar = [pygame.image.load(os.path.join("../assets/bobesponja/crouch", "0.png")), pygame.image.load(os.path.join("../assets/bobesponja/crouch", "1.png")),] obstaculosImg = [pygame.image.load(os.path.join("../assets/obstaculos", "0.png")), pygame.image.load(os.path.join("../assets/obstaculos", "1.png")), pygame.image.load(os.path.join("../assets/obstaculos", "2.png")), pygame.image.load(os.path.join("../assets/obstaculos", "3.png")), pygame.image.load(os.path.join("../assets/obstaculos", "4.png")), pygame.image.load(os.path.join("../assets/obstaculos", "bubble.png"))] robo = [pygame.image.load(os.path.join("../assets/robo", "0.png")), pygame.image.load(os.path.join("../assets/robo", "1.png")), pygame.image.load(os.path.join("../assets/robo", "2.png")), pygame.image.load(os.path.join("../assets/robo", "3.png")), pygame.image.load(os.path.join("../assets/robo", "4.png")), pygame.image.load(os.path.join("../assets/robo", "5.png")), pygame.image.load(os.path.join("../assets/robo", "6.png")), pygame.image.load(os.path.join("../assets/robo", "7.png"))] planoDeFundo = pygame.image.load(os.path.join("../assets/others", "background.jpg")) planoDeFundoMenu = pygame.image.load(os.path.join("../assets/others", "BackgroundMenu.jpg")) bolha = pygame.image.load(os.path.join("../Assets/others", "bolha.png"))

60.27027

92

0.630942

314

2,230

4.480892

0.11465

0.226724

0.309168

0.350391

0.889126

0.727079

0.299929

0

0.012633

0.112556

2,230

37

93

60.27027

0.698332

0

0.33662

0.132228

0

1

0

false

0

0.064516

0

0.064516

0

null

1

0

null

0

8

b7b687951dc7b8fa54a457d7d538eee6a8b082db

10,763

py

Python

replit/week0/car.py

JL1080/tri3data1

a4771a824eb8aee53f31137b8ea9a3e0a2fe3980

[ "MIT" ]

null

replit/week0/car.py

JL1080/tri3data1

a4771a824eb8aee53f31137b8ea9a3e0a2fe3980

[ "MIT" ]

null

replit/week0/car.py

JL1080/tri3data1

a4771a824eb8aee53f31137b8ea9a3e0a2fe3980

[ "MIT" ]

null

import time import os LightGray = "\033[0;37m" Color33 = "\u001b[33m" def car(): print(" _______ ") print(" // ||\ \ ") print(" _____//___||_\ \___") print(" ) _ _ \ ") print(" |_ / \________/ \___| ") print(" \_/ \_/") print("\033[0;37m -------------------------------------------- \u001b[33m") def car1(): print(" _______ ") print(" // ||\ \ ") print(" _____//___||_\ \___") print(" ) _ _ \ ") print(" |_ / \________/ \___| ") print(" \_/ \_/") print("\033[0;37m -------------------------------------------- \u001b[33m") def car2(): print(" _______ ") print(" // ||\ \ ") print(" _____//___||_\ \___") print(" ) _ _ \ ") print(" _ / \________/ \___| ") print(" \_/ \_/") print("\033[0;37m ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \u001b[33m") def car3(): print(" _______ ") print(" // ||\ \ ") print(" _____//___||_\ \___") print(" ) _ _ \ ") print(" |_ / \________/ \___| ") print(" \_/ \_/") print("\033[0;37m ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \u001b[33m") def car4(): print(" _______ ") print(" // ||\ \ ") print(" _____//___||_\ \___") print(" ) _ _ \ ") print(" |_ / \________/ \___| ") print(" \_/ \_/") print("\033[0;37m ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \u001b[33m") def car5(): print(" _______ ") print(" // ||\ \ ") print(" _____//___||_\ \___") print(" ) _ _ \ ") print(" |_ / \________/ \___| ") print(" \_/ \_/") print("\033[0;37m -------------------------------------------- \u001b[33m") def car6(): print(" _______ ") print(" // ||\ \ ") print(" _____//___||_\ \___") print(" ) _ _ \ ") print(" |_ / \________/ \___| ") print(" \_/ \_/") print("\033[0;37m ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \u001b[33m") def car7(): print(" _______ ") print(" // ||\ \ ") print(" _____//___||_\ \___") print(" ) _ _ \ ") print(" |_ / \________/ \___| ") print(" \_/ \_/") print("\033[0;37m ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \u001b[33m") def car8(): print(" _______ ") print(" // ||\ \ ") print(" _____//___||_\ \___") print(" ) _ _ \ ") print(" |_ / \________/ \___| ") print(" \_/ \_/") print("\033[0;37m -------------------------------------------- \u001b[33m") def car9(): print(" _______ ") print(" // ||\ \ ") print(" _____//___||_\ \___") print(" ) _ _ \ ") print(" |_ / \________/ \___| ") print(" \_/ \_/") print("\033[0;37m ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \u001b[33m") def car10(): print(" _______ ") print(" // ||\ \ ") print(" _____//___||_\ \___") print(" ) _ _ \ ") print(" |_ / \________/ \___| ") print(" \_/ \_/") print("\033[0;37m ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \u001b[33m") def car11(): print(" _______ ") print(" // ||\ \ ") print(" _____//___||_\ \___") print(" ) _ _ \ ") print(" |_ / \________/ \___| ") print(" \_/ \_/") print("\033[0;37m -------------------------------------------- \u001b[33m") def car12(): print(" _______ ") print(" // ||\ \ ") print(" _____//___||_\ \___") print(" ) _ _ \ ") print(" |_ / \________/ \___| ") print(" \_/ \_/") print("\033[0;37m ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \u001b[33m") def car13(): print(" _______ ") print(" // ||\ \ ") print(" _____//___||_\ \___") print(" ) _ _ \ ") print(" |_ / \________/ \___| ") print(" \_/ \_/") print("\033[0;37m ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \u001b[33m") def car14(): print(" _______ ") print(" // ||\ \ ") print(" _____//___||_\ \___") print(" ) _ _ \ ") print(" |_ / \________/ \___| ") print(" \_/ \_/") print("\033[0;37mm ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \u001b[33m") def car15(): print(" _______ ") print(" // ||\ \ ") print(" _____//___||_\ \___") print(" ) _ _ \ ") print(" |_ / \________/ \___| ") print(" \_/ \_/") print("\033[0;37m -------------------------------------------- \u001b[33m") def car16(): print(" _______ ") print(" // ||\ \ ") print(" _____//___||_\ \___") print(" ) _ _ \ ") print(" |_ / \________/ \___| ") print(" \_/ \_/") print("\033[0;37m ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \u001b[33m") def car17(): print(" _______ ") print(" // ||\ \ ") print(" _____//___||_\ \___") print(" ) _ _ \ ") print(" |_ / \________/ \___| ") print(" \_/ \_/") print("\033[0;37m -------------------------------------------- \u001b[33m") def car18(): print(" _______ ") print(" // ||\ \ ") print(" _____//___||_\ \___") print(" ) _ _ \ ") print(" |_ / \________/ \___| ") print(" \_/ \_/") print("\033[0;37m ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \u001b[33m") def car19(): print(" _______ ") print(" // ||\ \ ") print(" _____//___||_\ \___") print(" ) _ _ \ ") print(" |_ / \________/ \___| ") print(" \_/ \_/") print("\033[0;37m -------------------------------------------- \u001b[33m") def car20(): print(" _______ ") print(" // ||\ \ ") print(" _____//___||_\ \___") print(" ) _ _ \ ") print(" |_ / \________/ \___| ") print(" \_/ \_/") print("\033[0;37m -------------------------------------------- \u001b[33m") def car21(): print(" _______ ") print(" // ||\ \ ") print(" _____//___||_\ \___") print(" ) _ _ \ ") print(" |_ / \________/ \___| ") print(" \_/ \_/") print("\033[0;37m -------------------------------------------- \u001b[33m") def car22(): print(" _______ ") print(" // ||\ \ ") print(" _____//___||_\ \___") print(" ) _ _ \ ") print(" |_ / \________/ \___| ") print(" \_/ \_/") print("\033[0;37m -------------------------------------------- \u001b[33m") def car23(): print(" _______ ") print(" // ||\ \ ") print(" _____//___||_\ \___") print(" ) _ _ \ ") print(" |_ / \________/ \___| ") print(" \_/ \_/") print("\033[0;37m -------------------------------------------- \u001b[33m") def car24(): print(" _______ ") print(" // ||\ \ ") print(" _____//___||_\ \___") print(" ) _ _ \ ") print(" |_ / \________/ \___| ") print(" \_/ \_/") print("\033[0;37m -------------------------------------------- \u001b[33m") def car25(): print(" _______ ") print(" // ||\ \ ") print("_____//___||_\ \___") print(") _ _ \ ") print("|_ / \________/ \___| ") print(" \_/ \_/") print("\033[0;37m -------------------------------------------- \u001b[33m"); print("\u001b[37m") os.system("clear") car() os.system("clear") time.sleep(.1) car1() time.sleep(.5) os.system("clear") car2() time.sleep(.5) os.system("clear") car3() time.sleep(.5) os.system("clear") car4() time.sleep(.5) os.system("clear") car5() time.sleep(.5) os.system("clear") car6() time.sleep(.5) os.system("clear") car7() time.sleep(.5) os.system("clear") car8() time.sleep(.5) os.system("clear") car9() time.sleep(.5) os.system("clear") car10() time.sleep(.5) os.system("clear") car11() time.sleep(.5) os.system("clear") car12() time.sleep(.5) os.system("clear") car13() time.sleep(.5) os.system("clear") car14() time.sleep(.5) os.system("clear") car15() time.sleep(.5) os.system("clear") car16() time.sleep(.5) os.system("clear") car17() time.sleep(.5) os.system("clear") car18() time.sleep(.5) os.system("clear") car19() time.sleep(.5) os.system("clear") car20() time.sleep(.5) os.system("clear") car21() time.sleep(.5) os.system("clear") car22() time.sleep(.5) os.system("clear") car23() time.sleep(.5) os.system("clear") car24() time.sleep(.5) os.system("clear") car25() time.sleep(.5) os.system("clear") print("or so you thought...") time.sleep(.5) os.system("clear")

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py

Python

canvas_sdk/methods/pages.py

david-house-harvard/canvas_python_sdk

9c2e59621a9a5667bc43c253ef801482b241a2c1

[ "MIT" ]

21

2015-06-12T13:49:04.000Z

2021-11-08T05:37:44.000Z

canvas_sdk/methods/pages.py

david-house-harvard/canvas_python_sdk

9c2e59621a9a5667bc43c253ef801482b241a2c1

[ "MIT" ]

44

2015-02-04T15:26:52.000Z

2021-12-03T17:47:00.000Z

canvas_sdk/methods/pages.py

david-house-harvard/canvas_python_sdk

9c2e59621a9a5667bc43c253ef801482b241a2c1

[ "MIT" ]

7

2015-07-20T23:56:03.000Z

2021-02-23T17:13:00.000Z

from canvas_sdk import client, utils def show_front_page_courses(request_ctx, course_id, **request_kwargs): """ Retrieve the content of the front page :param request_ctx: The request context :type request_ctx: :class:RequestContext :param course_id: (required) ID :type course_id: string :return: Show front page :rtype: requests.Response (with Page data) """ path = '/v1/courses/{course_id}/front_page' url = request_ctx.base_api_url + path.format(course_id=course_id) response = client.get(request_ctx, url, **request_kwargs) return response def show_front_page_groups(request_ctx, group_id, **request_kwargs): """ Retrieve the content of the front page :param request_ctx: The request context :type request_ctx: :class:RequestContext :param group_id: (required) ID :type group_id: string :return: Show front page :rtype: requests.Response (with Page data) """ path = '/v1/groups/{group_id}/front_page' url = request_ctx.base_api_url + path.format(group_id=group_id) response = client.get(request_ctx, url, **request_kwargs) return response def update_create_front_page_courses(request_ctx, course_id, wiki_page_body, wiki_page_title=None, wiki_page_hide_from_students=None, wiki_page_editing_roles=None, wiki_page_notify_of_update=None, wiki_page_published=None, **request_kwargs): """ Update the title or contents of the front page :param request_ctx: The request context :type request_ctx: :class:RequestContext :param course_id: (required) ID :type course_id: string :param wiki_page_body: (required) The content for the new page. :type wiki_page_body: string :param wiki_page_title: (optional) The title for the new page. NOTE: changing a page's title will change its url. The updated url will be returned in the result. :type wiki_page_title: string or None :param wiki_page_hide_from_students: (optional) Whether the page should be hidden from students. *Note:* when draft state is enabled, attempts to set +hide_from_students+ will be ignored and the value returned will always be the inverse of the +published+ value. :type wiki_page_hide_from_students: boolean or None :param wiki_page_editing_roles: (optional) Which user roles are allowed to edit this page. Any combination of these roles is allowed (separated by commas). "teachers":: Allows editing by teachers in the course. "students":: Allows editing by students in the course. "members":: For group wikis, allows editing by members of the group. "public":: Allows editing by any user. :type wiki_page_editing_roles: string or None :param wiki_page_notify_of_update: (optional) Whether participants should be notified when this page changes. :type wiki_page_notify_of_update: boolean or None :param wiki_page_published: (optional) Whether the page is published (true) or draft state (false). *Note:* when draft state is disabled, attempts to set +published+ will be ignored and the value returned will always be the inverse of the +hide_from_students+ value. :type wiki_page_published: boolean or None :return: Update/create front page :rtype: requests.Response (with Page data) """ wiki_page_editing_roles_types = ('teachers', 'students', 'members', 'public') utils.validate_attr_is_acceptable(wiki_page_editing_roles, wiki_page_editing_roles_types) path = '/v1/courses/{course_id}/front_page' payload = { 'wiki_page[title]' : wiki_page_title, 'wiki_page[body]' : wiki_page_body, 'wiki_page[hide_from_students]' : wiki_page_hide_from_students, 'wiki_page[editing_roles]' : wiki_page_editing_roles, 'wiki_page[notify_of_update]' : wiki_page_notify_of_update, 'wiki_page[published]' : wiki_page_published, } url = request_ctx.base_api_url + path.format(course_id=course_id) response = client.put(request_ctx, url, payload=payload, **request_kwargs) return response def update_create_front_page_groups(request_ctx, group_id, wiki_page_body, wiki_page_title=None, wiki_page_hide_from_students=None, wiki_page_editing_roles=None, wiki_page_notify_of_update=None, wiki_page_published=None, **request_kwargs): """ Update the title or contents of the front page :param request_ctx: The request context :type request_ctx: :class:RequestContext :param group_id: (required) ID :type group_id: string :param wiki_page_body: (required) The content for the new page. :type wiki_page_body: string :param wiki_page_title: (optional) The title for the new page. NOTE: changing a page's title will change its url. The updated url will be returned in the result. :type wiki_page_title: string or None :param wiki_page_hide_from_students: (optional) Whether the page should be hidden from students. *Note:* when draft state is enabled, attempts to set +hide_from_students+ will be ignored and the value returned will always be the inverse of the +published+ value. :type wiki_page_hide_from_students: boolean or None :param wiki_page_editing_roles: (optional) Which user roles are allowed to edit this page. Any combination of these roles is allowed (separated by commas). "teachers":: Allows editing by teachers in the course. "students":: Allows editing by students in the course. "members":: For group wikis, allows editing by members of the group. "public":: Allows editing by any user. :type wiki_page_editing_roles: string or None :param wiki_page_notify_of_update: (optional) Whether participants should be notified when this page changes. :type wiki_page_notify_of_update: boolean or None :param wiki_page_published: (optional) Whether the page is published (true) or draft state (false). *Note:* when draft state is disabled, attempts to set +published+ will be ignored and the value returned will always be the inverse of the +hide_from_students+ value. :type wiki_page_published: boolean or None :return: Update/create front page :rtype: requests.Response (with Page data) """ wiki_page_editing_roles_types = ('teachers', 'students', 'members', 'public') utils.validate_attr_is_acceptable(wiki_page_editing_roles, wiki_page_editing_roles_types) path = '/v1/groups/{group_id}/front_page' payload = { 'wiki_page[title]' : wiki_page_title, 'wiki_page[body]' : wiki_page_body, 'wiki_page[hide_from_students]' : wiki_page_hide_from_students, 'wiki_page[editing_roles]' : wiki_page_editing_roles, 'wiki_page[notify_of_update]' : wiki_page_notify_of_update, 'wiki_page[published]' : wiki_page_published, } url = request_ctx.base_api_url + path.format(group_id=group_id) response = client.put(request_ctx, url, payload=payload, **request_kwargs) return response def list_pages_courses(request_ctx, course_id, sort=None, order=None, search_term=None, published=None, per_page=None, **request_kwargs): """ List the wiki pages associated with a course or group :param request_ctx: The request context :type request_ctx: :class:RequestContext :param course_id: (required) ID :type course_id: string :param sort: (optional) Sort results by this field. :type sort: string or None :param order: (optional) The sorting order. Defaults to 'asc'. :type order: string or None :param search_term: (optional) The partial title of the pages to match and return. :type search_term: string or None :param published: (optional) If true, include only published paqes. If false, exclude published pages. If not present, do not filter on published status. :type published: boolean or None :param per_page: (optional) Set how many results canvas should return, defaults to config.LIMIT_PER_PAGE :type per_page: integer or None :return: List pages :rtype: requests.Response (with array data) """ if per_page is None: per_page = request_ctx.per_page sort_types = ('title', 'created_at', 'updated_at') order_types = ('asc', 'desc') utils.validate_attr_is_acceptable(sort, sort_types) utils.validate_attr_is_acceptable(order, order_types) path = '/v1/courses/{course_id}/pages' payload = { 'sort' : sort, 'order' : order, 'search_term' : search_term, 'published' : published, 'per_page' : per_page, } url = request_ctx.base_api_url + path.format(course_id=course_id) response = client.get(request_ctx, url, payload=payload, **request_kwargs) return response def list_pages_groups(request_ctx, group_id, sort=None, order=None, search_term=None, published=None, per_page=None, **request_kwargs): """ List the wiki pages associated with a course or group :param request_ctx: The request context :type request_ctx: :class:RequestContext :param group_id: (required) ID :type group_id: string :param sort: (optional) Sort results by this field. :type sort: string or None :param order: (optional) The sorting order. Defaults to 'asc'. :type order: string or None :param search_term: (optional) The partial title of the pages to match and return. :type search_term: string or None :param published: (optional) If true, include only published paqes. If false, exclude published pages. If not present, do not filter on published status. :type published: boolean or None :param per_page: (optional) Set how many results canvas should return, defaults to config.LIMIT_PER_PAGE :type per_page: integer or None :return: List pages :rtype: requests.Response (with array data) """ if per_page is None: per_page = request_ctx.per_page sort_types = ('title', 'created_at', 'updated_at') order_types = ('asc', 'desc') utils.validate_attr_is_acceptable(sort, sort_types) utils.validate_attr_is_acceptable(order, order_types) path = '/v1/groups/{group_id}/pages' payload = { 'sort' : sort, 'order' : order, 'search_term' : search_term, 'published' : published, 'per_page' : per_page, } url = request_ctx.base_api_url + path.format(group_id=group_id) response = client.get(request_ctx, url, payload=payload, **request_kwargs) return response def create_page_courses(request_ctx, course_id, wiki_page_title, wiki_page_body, wiki_page_hide_from_students, wiki_page_notify_of_update, wiki_page_editing_roles=None, wiki_page_published=None, wiki_page_front_page=None, **request_kwargs): """ Create a new wiki page :param request_ctx: The request context :type request_ctx: :class:RequestContext :param course_id: (required) ID :type course_id: string :param wiki_page_title: (required) The title for the new page. :type wiki_page_title: string :param wiki_page_body: (required) The content for the new page. :type wiki_page_body: string :param wiki_page_hide_from_students: (required) Whether the page should be hidden from students. *Note:* when draft state is enabled, attempts to set +hide_from_students+ will be ignored and the value returned will always be the inverse of the +published+ value. :type wiki_page_hide_from_students: boolean :param wiki_page_notify_of_update: (required) Whether participants should be notified when this page changes. :type wiki_page_notify_of_update: boolean :param wiki_page_editing_roles: (optional) Which user roles are allowed to edit this page. Any combination of these roles is allowed (separated by commas). "teachers":: Allows editing by teachers in the course. "students":: Allows editing by students in the course. "members":: For group wikis, allows editing by members of the group. "public":: Allows editing by any user. :type wiki_page_editing_roles: string or None :param wiki_page_published: (optional) Whether the page is published (true) or draft state (false). *Note:* when draft state is disabled, attempts to set +published+ will be ignored and the value returned will always be the inverse of the +hide_from_students+ value. :type wiki_page_published: boolean or None :param wiki_page_front_page: (optional) Set an unhidden page as the front page (if true) :type wiki_page_front_page: boolean or None :return: Create page :rtype: requests.Response (with Page data) """ wiki_page_editing_roles_types = ('teachers', 'students', 'members', 'public') utils.validate_attr_is_acceptable(wiki_page_editing_roles, wiki_page_editing_roles_types) path = '/v1/courses/{course_id}/pages' payload = { 'wiki_page[title]' : wiki_page_title, 'wiki_page[body]' : wiki_page_body, 'wiki_page[hide_from_students]' : wiki_page_hide_from_students, 'wiki_page[editing_roles]' : wiki_page_editing_roles, 'wiki_page[notify_of_update]' : wiki_page_notify_of_update, 'wiki_page[published]' : wiki_page_published, 'wiki_page[front_page]' : wiki_page_front_page, } url = request_ctx.base_api_url + path.format(course_id=course_id) response = client.post(request_ctx, url, payload=payload, **request_kwargs) return response def create_page_groups(request_ctx, group_id, wiki_page_title, wiki_page_body, wiki_page_hide_from_students, wiki_page_notify_of_update, wiki_page_editing_roles=None, wiki_page_published=None, wiki_page_front_page=None, **request_kwargs): """ Create a new wiki page :param request_ctx: The request context :type request_ctx: :class:RequestContext :param group_id: (required) ID :type group_id: string :param wiki_page_title: (required) The title for the new page. :type wiki_page_title: string :param wiki_page_body: (required) The content for the new page. :type wiki_page_body: string :param wiki_page_hide_from_students: (required) Whether the page should be hidden from students. *Note:* when draft state is enabled, attempts to set +hide_from_students+ will be ignored and the value returned will always be the inverse of the +published+ value. :type wiki_page_hide_from_students: boolean :param wiki_page_notify_of_update: (required) Whether participants should be notified when this page changes. :type wiki_page_notify_of_update: boolean :param wiki_page_editing_roles: (optional) Which user roles are allowed to edit this page. Any combination of these roles is allowed (separated by commas). "teachers":: Allows editing by teachers in the course. "students":: Allows editing by students in the course. "members":: For group wikis, allows editing by members of the group. "public":: Allows editing by any user. :type wiki_page_editing_roles: string or None :param wiki_page_published: (optional) Whether the page is published (true) or draft state (false). *Note:* when draft state is disabled, attempts to set +published+ will be ignored and the value returned will always be the inverse of the +hide_from_students+ value. :type wiki_page_published: boolean or None :param wiki_page_front_page: (optional) Set an unhidden page as the front page (if true) :type wiki_page_front_page: boolean or None :return: Create page :rtype: requests.Response (with Page data) """ wiki_page_editing_roles_types = ('teachers', 'students', 'members', 'public') utils.validate_attr_is_acceptable(wiki_page_editing_roles, wiki_page_editing_roles_types) path = '/v1/groups/{group_id}/pages' payload = { 'wiki_page[title]' : wiki_page_title, 'wiki_page[body]' : wiki_page_body, 'wiki_page[hide_from_students]' : wiki_page_hide_from_students, 'wiki_page[editing_roles]' : wiki_page_editing_roles, 'wiki_page[notify_of_update]' : wiki_page_notify_of_update, 'wiki_page[published]' : wiki_page_published, 'wiki_page[front_page]' : wiki_page_front_page, } url = request_ctx.base_api_url + path.format(group_id=group_id) response = client.post(request_ctx, url, payload=payload, **request_kwargs) return response def show_page_courses(request_ctx, course_id, url, **request_kwargs): """ Retrieve the content of a wiki page :param request_ctx: The request context :type request_ctx: :class:RequestContext :param course_id: (required) ID :type course_id: string :param url: (required) ID :type url: string :return: Show page :rtype: requests.Response (with Page data) """ path = '/v1/courses/{course_id}/pages/{url}' url = request_ctx.base_api_url + path.format(course_id=course_id, url=url) response = client.get(request_ctx, url, **request_kwargs) return response def show_page_groups(request_ctx, group_id, url, **request_kwargs): """ Retrieve the content of a wiki page :param request_ctx: The request context :type request_ctx: :class:RequestContext :param group_id: (required) ID :type group_id: string :param url: (required) ID :type url: string :return: Show page :rtype: requests.Response (with Page data) """ path = '/v1/groups/{group_id}/pages/{url}' url = request_ctx.base_api_url + path.format(group_id=group_id, url=url) response = client.get(request_ctx, url, **request_kwargs) return response def update_create_page_courses(request_ctx, course_id, url, wiki_page_title, wiki_page_body, wiki_page_hide_from_students, wiki_page_notify_of_update, wiki_page_editing_roles=None, wiki_page_published=None, wiki_page_front_page=None, **request_kwargs): """ Update the title or contents of a wiki page :param request_ctx: The request context :type request_ctx: :class:RequestContext :param course_id: (required) ID :type course_id: string :param url: (required) ID :type url: string :param wiki_page_title: (required) The title for the new page. NOTE: changing a page's title will change its url. The updated url will be returned in the result. :type wiki_page_title: string :param wiki_page_body: (required) The content for the new page. :type wiki_page_body: string :param wiki_page_hide_from_students: (required) Whether the page should be hidden from students. *Note:* when draft state is enabled, attempts to set +hide_from_students+ will be ignored and the value returned will always be the inverse of the +published+ value. :type wiki_page_hide_from_students: boolean :param wiki_page_notify_of_update: (required) Whether participants should be notified when this page changes. :type wiki_page_notify_of_update: boolean :param wiki_page_editing_roles: (optional) Which user roles are allowed to edit this page. Any combination of these roles is allowed (separated by commas). "teachers":: Allows editing by teachers in the course. "students":: Allows editing by students in the course. "members":: For group wikis, allows editing by members of the group. "public":: Allows editing by any user. :type wiki_page_editing_roles: string or None :param wiki_page_published: (optional) Whether the page is published (true) or draft state (false). *Note:* when draft state is disabled, attempts to set +published+ will be ignored and the value returned will always be the inverse of the +hide_from_students+ value. :type wiki_page_published: boolean or None :param wiki_page_front_page: (optional) Set an unhidden page as the front page (if true) :type wiki_page_front_page: boolean or None :return: Update/create page :rtype: requests.Response (with Page data) """ wiki_page_editing_roles_types = ('teachers', 'students', 'members', 'public') utils.validate_attr_is_acceptable(wiki_page_editing_roles, wiki_page_editing_roles_types) path = '/v1/courses/{course_id}/pages/{url}' payload = { 'wiki_page[title]' : wiki_page_title, 'wiki_page[body]' : wiki_page_body, 'wiki_page[hide_from_students]' : wiki_page_hide_from_students, 'wiki_page[editing_roles]' : wiki_page_editing_roles, 'wiki_page[notify_of_update]' : wiki_page_notify_of_update, 'wiki_page[published]' : wiki_page_published, 'wiki_page[front_page]' : wiki_page_front_page, } url = request_ctx.base_api_url + path.format(course_id=course_id, url=url) response = client.put(request_ctx, url, payload=payload, **request_kwargs) return response def update_create_page_groups(request_ctx, group_id, url, wiki_page_title, wiki_page_body, wiki_page_hide_from_students, wiki_page_notify_of_update, wiki_page_editing_roles=None, wiki_page_published=None, wiki_page_front_page=None, **request_kwargs): """ Update the title or contents of a wiki page :param request_ctx: The request context :type request_ctx: :class:RequestContext :param group_id: (required) ID :type group_id: string :param url: (required) ID :type url: string :param wiki_page_title: (required) The title for the new page. NOTE: changing a page's title will change its url. The updated url will be returned in the result. :type wiki_page_title: string :param wiki_page_body: (required) The content for the new page. :type wiki_page_body: string :param wiki_page_hide_from_students: (required) Whether the page should be hidden from students. *Note:* when draft state is enabled, attempts to set +hide_from_students+ will be ignored and the value returned will always be the inverse of the +published+ value. :type wiki_page_hide_from_students: boolean :param wiki_page_notify_of_update: (required) Whether participants should be notified when this page changes. :type wiki_page_notify_of_update: boolean :param wiki_page_editing_roles: (optional) Which user roles are allowed to edit this page. Any combination of these roles is allowed (separated by commas). "teachers":: Allows editing by teachers in the course. "students":: Allows editing by students in the course. "members":: For group wikis, allows editing by members of the group. "public":: Allows editing by any user. :type wiki_page_editing_roles: string or None :param wiki_page_published: (optional) Whether the page is published (true) or draft state (false). *Note:* when draft state is disabled, attempts to set +published+ will be ignored and the value returned will always be the inverse of the +hide_from_students+ value. :type wiki_page_published: boolean or None :param wiki_page_front_page: (optional) Set an unhidden page as the front page (if true) :type wiki_page_front_page: boolean or None :return: Update/create page :rtype: requests.Response (with Page data) """ wiki_page_editing_roles_types = ('teachers', 'students', 'members', 'public') utils.validate_attr_is_acceptable(wiki_page_editing_roles, wiki_page_editing_roles_types) path = '/v1/groups/{group_id}/pages/{url}' payload = { 'wiki_page[title]' : wiki_page_title, 'wiki_page[body]' : wiki_page_body, 'wiki_page[hide_from_students]' : wiki_page_hide_from_students, 'wiki_page[editing_roles]' : wiki_page_editing_roles, 'wiki_page[notify_of_update]' : wiki_page_notify_of_update, 'wiki_page[published]' : wiki_page_published, 'wiki_page[front_page]' : wiki_page_front_page, } url = request_ctx.base_api_url + path.format(group_id=group_id, url=url) response = client.put(request_ctx, url, payload=payload, **request_kwargs) return response def delete_page_courses(request_ctx, course_id, url, **request_kwargs): """ Delete a wiki page :param request_ctx: The request context :type request_ctx: :class:RequestContext :param course_id: (required) ID :type course_id: string :param url: (required) ID :type url: string :return: Delete page :rtype: requests.Response (with Page data) """ path = '/v1/courses/{course_id}/pages/{url}' url = request_ctx.base_api_url + path.format(course_id=course_id, url=url) response = client.delete(request_ctx, url, **request_kwargs) return response def delete_page_groups(request_ctx, group_id, url, **request_kwargs): """ Delete a wiki page :param request_ctx: The request context :type request_ctx: :class:RequestContext :param group_id: (required) ID :type group_id: string :param url: (required) ID :type url: string :return: Delete page :rtype: requests.Response (with Page data) """ path = '/v1/groups/{group_id}/pages/{url}' url = request_ctx.base_api_url + path.format(group_id=group_id, url=url) response = client.delete(request_ctx, url, **request_kwargs) return response def list_revisions_courses(request_ctx, course_id, url, per_page=None, **request_kwargs): """ List the revisions of a page. Callers must have update rights on the page in order to see page history. :param request_ctx: The request context :type request_ctx: :class:RequestContext :param course_id: (required) ID :type course_id: string :param url: (required) ID :type url: string :param per_page: (optional) Set how many results canvas should return, defaults to config.LIMIT_PER_PAGE :type per_page: integer or None :return: List revisions :rtype: requests.Response (with array data) """ if per_page is None: per_page = request_ctx.per_page path = '/v1/courses/{course_id}/pages/{url}/revisions' payload = { 'per_page' : per_page, } url = request_ctx.base_api_url + path.format(course_id=course_id, url=url) response = client.get(request_ctx, url, payload=payload, **request_kwargs) return response def list_revisions_groups(request_ctx, group_id, url, per_page=None, **request_kwargs): """ List the revisions of a page. Callers must have update rights on the page in order to see page history. :param request_ctx: The request context :type request_ctx: :class:RequestContext :param group_id: (required) ID :type group_id: string :param url: (required) ID :type url: string :param per_page: (optional) Set how many results canvas should return, defaults to config.LIMIT_PER_PAGE :type per_page: integer or None :return: List revisions :rtype: requests.Response (with array data) """ if per_page is None: per_page = request_ctx.per_page path = '/v1/groups/{group_id}/pages/{url}/revisions' payload = { 'per_page' : per_page, } url = request_ctx.base_api_url + path.format(group_id=group_id, url=url) response = client.get(request_ctx, url, payload=payload, **request_kwargs) return response def show_revision_courses_latest(request_ctx, course_id, url, summary=None, **request_kwargs): """ Retrieve the metadata and optionally content of a revision of the page. Note that retrieving historic versions of pages requires edit rights. :param request_ctx: The request context :type request_ctx: :class:RequestContext :param course_id: (required) ID :type course_id: string :param url: (required) ID :type url: string :param summary: (optional) If set, exclude page content from results :type summary: boolean or None :return: Show revision :rtype: requests.Response (with PageRevision data) """ path = '/v1/courses/{course_id}/pages/{url}/revisions/latest' payload = { 'summary' : summary, } url = request_ctx.base_api_url + path.format(course_id=course_id, url=url) response = client.get(request_ctx, url, payload=payload, **request_kwargs) return response def show_revision_groups_latest(request_ctx, group_id, url, summary=None, **request_kwargs): """ Retrieve the metadata and optionally content of a revision of the page. Note that retrieving historic versions of pages requires edit rights. :param request_ctx: The request context :type request_ctx: :class:RequestContext :param group_id: (required) ID :type group_id: string :param url: (required) ID :type url: string :param summary: (optional) If set, exclude page content from results :type summary: boolean or None :return: Show revision :rtype: requests.Response (with PageRevision data) """ path = '/v1/groups/{group_id}/pages/{url}/revisions/latest' payload = { 'summary' : summary, } url = request_ctx.base_api_url + path.format(group_id=group_id, url=url) response = client.get(request_ctx, url, payload=payload, **request_kwargs) return response def show_revision_courses_revision_id(request_ctx, course_id, url, revision_id, summary=None, **request_kwargs): """ Retrieve the metadata and optionally content of a revision of the page. Note that retrieving historic versions of pages requires edit rights. :param request_ctx: The request context :type request_ctx: :class:RequestContext :param course_id: (required) ID :type course_id: string :param url: (required) ID :type url: string :param revision_id: (required) ID :type revision_id: string :param summary: (optional) If set, exclude page content from results :type summary: boolean or None :return: Show revision :rtype: requests.Response (with PageRevision data) """ path = '/v1/courses/{course_id}/pages/{url}/revisions/{revision_id}' payload = { 'summary' : summary, } url = request_ctx.base_api_url + path.format(course_id=course_id, url=url, revision_id=revision_id) response = client.get(request_ctx, url, payload=payload, **request_kwargs) return response def show_revision_groups_revision_id(request_ctx, group_id, url, revision_id, summary=None, **request_kwargs): """ Retrieve the metadata and optionally content of a revision of the page. Note that retrieving historic versions of pages requires edit rights. :param request_ctx: The request context :type request_ctx: :class:RequestContext :param group_id: (required) ID :type group_id: string :param url: (required) ID :type url: string :param revision_id: (required) ID :type revision_id: string :param summary: (optional) If set, exclude page content from results :type summary: boolean or None :return: Show revision :rtype: requests.Response (with PageRevision data) """ path = '/v1/groups/{group_id}/pages/{url}/revisions/{revision_id}' payload = { 'summary' : summary, } url = request_ctx.base_api_url + path.format(group_id=group_id, url=url, revision_id=revision_id) response = client.get(request_ctx, url, payload=payload, **request_kwargs) return response def revert_to_revision_courses(request_ctx, course_id, url, revision_id, **request_kwargs): """ Revert a page to a prior revision. :param request_ctx: The request context :type request_ctx: :class:RequestContext :param course_id: (required) ID :type course_id: string :param url: (required) ID :type url: string :param revision_id: (required) The revision to revert to (use the {api:WikiPagesApiController#revisions List Revisions API} to see available revisions) :type revision_id: integer :return: Revert to revision :rtype: requests.Response (with PageRevision data) """ path = '/v1/courses/{course_id}/pages/{url}/revisions/{revision_id}' url = request_ctx.base_api_url + path.format(course_id=course_id, url=url, revision_id=revision_id) response = client.post(request_ctx, url, **request_kwargs) return response def revert_to_revision_groups(request_ctx, group_id, url, revision_id, **request_kwargs): """ Revert a page to a prior revision. :param request_ctx: The request context :type request_ctx: :class:RequestContext :param group_id: (required) ID :type group_id: string :param url: (required) ID :type url: string :param revision_id: (required) The revision to revert to (use the {api:WikiPagesApiController#revisions List Revisions API} to see available revisions) :type revision_id: integer :return: Revert to revision :rtype: requests.Response (with PageRevision data) """ path = '/v1/groups/{group_id}/pages/{url}/revisions/{revision_id}' url = request_ctx.base_api_url + path.format(group_id=group_id, url=url, revision_id=revision_id) response = client.post(request_ctx, url, **request_kwargs) return response

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4db96a54222c538d1a116f7d4341600ec4fc1fa2

358,063

py

Python

bin/temp/var/usd/cd/tmp/usd/data/data/data/data/data/temp/web.py

RazorKenway/All-Downloader

e1c6d9ee277166faff8876e967b521fd752f0e7f

[ "MIT" ]

44

2021-06-28T15:57:18.000Z

2022-03-22T07:36:13.000Z

bin/temp/var/usd/cd/tmp/usd/data/data/data/data/data/temp/web.py

RazorKenway/All-Downloader

e1c6d9ee277166faff8876e967b521fd752f0e7f

[ "MIT" ]

1

2021-11-26T13:28:10.000Z

2022-01-10T21:23:41.000Z

bin/temp/var/usd/cd/tmp/usd/data/data/data/data/data/temp/web.py

RazorKenway/All-Downloader

e1c6d9ee277166faff8876e967b521fd752f0e7f

[ "MIT" ]

5

2021-08-23T17:34:56.000Z

2022-02-25T19:23:59.000Z

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except Exception as b: print(f'Error for : {b} ')

32,551.181818

357,904

0.735144

82,239

358,063

3.194749

0.131008

0.000206

0.000069

0

0.231336

0.001301

358,063

11

357,905

32,551.181818

0.503382

0.000137

0

59.8

0.686084

0.683978

0

1

0

true

0

0.2

0

0.2

0

null

0

1

0

1

0

1

null

0

1

0

7

4dbef84ecb2652c85b54e3e1287bef2ed892026a

78,757

py

Python

eos.py

burakplt/VLE

58e810c6519f9c3a0758cd3d3a5a91f8e9f5d3ba

[ "MIT" ]

4

2020-05-09T13:34:50.000Z

2021-03-11T06:29:39.000Z

eos.py

burakplt/VLE

58e810c6519f9c3a0758cd3d3a5a91f8e9f5d3ba

[ "MIT" ]

null

eos.py

burakplt/VLE

58e810c6519f9c3a0758cd3d3a5a91f8e9f5d3ba

[ "MIT" ]

null

# EOS models and calculations from math import exp, sqrt, log from numpy import roots as np_roots from chemsep_operation import EosInterface as dbcall class PR76 (): """Peng-Robinson 1976 EOS Solver""" def fugacity_vapor(stream): """PENG-ROBINSON equation of state solver for vapor phase. :param stream: Stream object that contains chemicals. """ s = stream # Set stream variable cs = stream.substances # Components array T = s.get_temperature() # get system temperature Kelvin P = s.get_pressure() #get system pressure Pascal R = 8.314462 #Universal gas constant J/mol.K y = s.get_fractions()[0] #Molar fractions array #Calculate a(T) and b for each pure substance def calculate_a(component,T): """Input a substance i.e cs[i] Returns a value a = Pa.m^6/mol^2 """ w = float(component.AcentricityFactor) #acentric factor Tc = float(component.CriticalTemperature) Pc = float(component.CriticalPressure) Tr = T/Tc #Reduced Temperature T is the global Temp value kappa = 0.37464+1.54226*w-0.26992*w**2 #PR kappa value c = 0.45724*(R**2)*(Tc**2)/Pc #PR multiply factor alfaT = (1 + kappa*(1-Tr**0.5))**2 #PR alfa(T) function aT = c*alfaT # a(T) Equation return aT def calculate_b(component): """Input a substance cs[i] Returns b value b = m^3/mol """ Tc = float(component.CriticalTemperature) Pc = float(component.CriticalPressure) b = (0.07780*R*Tc)/Pc return b def calculate_kij(c1, c2, tune): """Calculate binary interaction parameter. c1, c2 is the stream components, tune: 1.2 default """ Vc1 = float(c1.CriticalVolume) #Critical volume for substance 1 Vc2 = float(c2.CriticalVolume) #Critical volume for substance 2 k_ij = 1 - ( 2*sqrt( (Vc1**0.333)*(Vc2**0.333) )/(Vc1**0.333 + Vc2**0.333))**tune return k_ij def calculate_amix(y,T): """a(T) value for mixture""" amix = 0 #Placeholder for a_mixture values for i in range(0,len(cs)) : for j in range(0,len(cs)): kij = calculate_kij(cs[i],cs[j], 1.2) #kij value calculation ai = calculate_a(cs[i],T) #ai value aj = calculate_a(cs[j],T) #aj value amix += y[i]*y[j]*sqrt(ai * aj)*(1-kij) #Update a_mix return amix def calculate_bmix(y): """ b value for the mixture""" bmix = 0 for i in range(0, len(cs)): bmix += y[i]*calculate_b(cs[i]) return bmix def calculate_A(a,T): """Calculates A value for component or mixture. a or amix""" A = a * P/(R**2)/(T**2) # A factor return A def calculate_B(b,T): """Calculates B value for a component or mixture.""" B = b * P/(R*T) # B factor return B def calculate_Z(A,B,T): A = calculate_A(calculate_amix(y,T),T) B = calculate_B(calculate_bmix(y),T) coefficients = [1, B-1, A-2*B-3*B**2, B**2+2*B-A*B] # PR Z-equation return max(np_roots(coefficients))# Return largest root for vapor phase calculation # CALCULATE FUGACITY COEFFICIENT #Z = calculate_Z(A,B) def calculate_phi(comp,T): """Vapor phase fugacity coefficient phi for a component. :param comp: Input the substance/chemical""" a = calculate_a(comp,T) b = calculate_b(comp) amix = calculate_amix(y,T) bmix = calculate_bmix(y) A = calculate_A(calculate_amix(y,T),T) B = calculate_B(calculate_bmix(y),T) Z = calculate_Z(A,B,T) ak = 0 # ak sum value for inside function for k in range(0,len(cs)): ak += y[k]* (1-calculate_kij(cs[k],comp, 1.2))* sqrt(calculate_a(cs[k],T)*calculate_a(comp,T)) phi = b*(Z-1)/bmix - log(Z-B) - A/(sqrt(8)*B)*(2*ak/amix - b/bmix)*log((Z+2.414*B)/(Z-0.414*B)) return exp(phi) def h_deperture(cs): """Departure enthalpy with PR EOS""" h_dep = 0 for i in range(0,len(cs)): temp = T + 0.001 der1 = log(calculate_phi(cs[i], temp)) temp = T - 0.001 der2 = log(calculate_phi(cs[i], temp)) h_dep += (-R*T**2)*(der1-der2)/0.002*y[i] return h_dep def ig_enthalpy(cs): enthalpy = 0 for i in range(0,len(cs)): enthalpy += dbcall.ig_enthalpy(cs[i].IdealGasHeatCapacityCp, T)*y[i] return enthalpy/1000 #kJ/kmol def s_deperture(cs): """Departure entropy with PR EOS""" s_dep = 0 for i in range(0,len(cs)): temp = T + 0.001 der1 = log(calculate_phi(cs[i], temp)) temp = T - 0.001 der2 = log(calculate_phi(cs[i], temp)) dphi = (der1-der2)/0.002 s_dep += (-R*(T*dphi + log(calculate_phi(cs[i],T))))*y[i] return s_dep # J/mol.K def ig_entropy(cs): entropy = 0 P0 = 101325 # Reference pressure in Pa for i in range(0,len(cs)): #abs_entropy = float(cs[i].AbsEntropy) entropy += (dbcall.ig_entropy(cs[i].IdealGasHeatCapacityCp, T) -R*1000*log(P/P0) -R*1000*log(y[i]) )*y[i] return entropy/1000 def gibbs_energy(): return (ig_enthalpy(cs)+h_deperture(cs)) - (ig_entropy(cs)+s_deperture(cs))*T fugacity_coefficients = [] for i in range(0,len(cs)): fugacity_coefficients.append( calculate_phi(cs[i],T)) return fugacity_coefficients # TODO FALSE RESULT!!!!!!!!!!!! Liquid fugacity def fugacity_liquid(stream): """PENG-ROBINSON equation of state solver for liquid phase. :param stream: Stream object that contains chemicals. """ s = stream # Set stream variable cs = stream.substances # Components array T = s.get_temperature() # get system temperature Kelvin P = s.get_pressure() #get system pressure Pascal R = 8.314462 #Universal gas constant J/mol.K y = s.get_fractions()[0] #Molar fractions array #Calculate a(T) and b for each pure substance def calculate_a(component,T): """Input a substance i.e cs[i] Returns a value a = Pa.m^6/mol^2 """ w = float(component.AcentricityFactor) #acentric factor Tc = float(component.CriticalTemperature) Pc = float(component.CriticalPressure) Tr = T/Tc #Reduced Temperature T is the global Temp value kappa = 0.37464+1.54226*w-0.26992*w**2 #PR kappa value c = 0.45724*(R**2)*(Tc**2)/Pc #PR multiply factor alfaT = (1 + kappa*(1-Tr**0.5))**2 #PR alfa(T) function aT = c*alfaT # a(T) Equation return aT def calculate_b(component): """Input a substance cs[i] Returns b value b = m^3/mol """ Tc = float(component.CriticalTemperature) Pc = float(component.CriticalPressure) b = (0.07780*R*Tc)/Pc return b def calculate_kij(c1, c2, tune): """Calculate binary interaction parameter. c1, c2 is the stream components, tune: 1.2 default """ Vc1 = float(c1.CriticalVolume) #Critical volume for substance 1 Vc2 = float(c2.CriticalVolume) #Critical volume for substance 2 k_ij = 1 - ( 2*sqrt( (Vc1**0.333)*(Vc2**0.333) )/(Vc1**0.333 + Vc2**0.333))**tune return k_ij def calculate_amix(y,T): """a(T) value for mixture""" amix = 0 #Placeholder for a_mixture values for i in range(0,len(cs)) : for j in range(0,len(cs)): kij = calculate_kij(cs[i],cs[j], 1.2) #kij value calculation ai = calculate_a(cs[i],T) #ai value aj = calculate_a(cs[j],T) #aj value amix += y[i]*y[j]*sqrt(ai * aj)*(1-kij) #Update a_mix return amix def calculate_bmix(y): """ b value for the mixture""" bmix = 0 for i in range(0, len(cs)): bmix += y[i]*calculate_b(cs[i]) return bmix #amix = calculate_amix(y) # amix calculated value #bmix = calculate_bmix(y) #bmix calculated value def calculate_A(a,T): """Calculates A value for component or mixture. a or amix""" A = a * P/(R**2)/(T**2) # A factor return A def calculate_B(b,T): """Calculates B value for a component or mixture.""" B = b * P/(R*T) # B factor return B def calculate_Z(A,B,T): A = calculate_A(calculate_amix(y,T),T) B = calculate_B(calculate_bmix(y),T) coefficients = [1, B-1, A-2*B-3*B**2, B**2+2*B-A*B] # PR Z-equation roots = np_roots(coefficients) for root in roots: if root > 0 and root < max(roots): min_root = root return min_root # Return smallest root for vapor phase calculation # CALCULATE FUGACITY COEFFICIENT #Z = calculate_Z(A,B) def calculate_phi(comp,T): """Vapor phase fugacity coefficient phi for a component. :param comp: Input the substance/chemical""" a = calculate_a(comp,T) b = calculate_b(comp) amix = calculate_amix(y,T) bmix = calculate_bmix(y) A = calculate_A(calculate_amix(y,T),T) B = calculate_B(calculate_bmix(y),T) Z = calculate_Z(A,B,T) ak = 0 # ak sum value for inside function for k in range(0,len(cs)): ak += y[k]* (1-calculate_kij(cs[k],comp, 1.2))* sqrt(calculate_a(cs[k],T)*calculate_a(comp,T)) phi = b*(Z-1)/bmix - log(Z-B) - A/(sqrt(8)*B)*(2*ak/amix - b/bmix)*log((Z+2.414*B)/(Z-0.414*B)) return exp(phi) def h_deperture(cs): """Departure enthalpy with PR EOS""" h_dep = 0 for i in range(0,len(cs)): temp = T + 0.001 der1 = log(calculate_phi(cs[i], temp)) temp = T - 0.001 der2 = log(calculate_phi(cs[i], temp)) h_dep += (-R*T**2)*(der1-der2)/0.002*y[i] return h_dep def ig_enthalpy(cs): enthalpy = 0 for i in range(0,len(cs)): h_vap = dbcall.dh_vaporization(cs[i].HeatOfVaporization, T, cs[i].CriticalTemperature) enthalpy += (dbcall.ig_enthalpy(cs[i].IdealGasHeatCapacityCp, T) - h_vap)*y[i] return enthalpy/1000 #kJ/kmol def s_deperture(cs): """Departure entropy with PR EOS""" s_dep = 0 for i in range(0,len(cs)): temp = T + 0.001 der1 = log(calculate_phi(cs[i], temp)) temp = T - 0.001 der2 = log(calculate_phi(cs[i], temp)) dphi = (der1-der2)/0.002 s_dep += (-R*(T*dphi + log(calculate_phi(cs[i],T))))*y[i] return s_dep # J/mol.K def ig_entropy(cs): entropy = 0 P0 = 101325 # Reference pressure in Pa for i in range(0,len(cs)): #abs_entropy = float(cs[i].AbsEntropy) entropy += (dbcall.ig_entropy(cs[i].IdealGasHeatCapacityCp, T) -R*1000*log(P/P0) -R*1000*log(y[i]) )*y[i] return entropy/1000 def gibbs_energy(): return (ig_enthalpy(cs)+h_deperture(cs)) - (ig_entropy(cs)+s_deperture(cs))*T def phi_vapor(components, temp, pressure, fractions, kij_input = None, kij_tune=None): """PENG-ROBINSON equation of state solver for vapor phase. :param components: Array that contains chemicals. :param kij_input: Dict object {(i,j):kij, (i,k):kik....} :param kij_tune: Tuning parameter for kij equation. Leave as None if kij_input given. """ cs = components # Components array T = temp # get system temperature Kelvin P = pressure #get system pressure Pascal R = 8.314462 #Universal gas constant J/mol.K y = fractions #Molar fractions array #Calculate a(T) and b for each pure substance def calculate_a(component,T): """Input a substance i.e cs[i] Returns a value a = Pa.m^6/mol^2 """ w = float(component.AcentricityFactor) #acentric factor Tc = float(component.CriticalTemperature) Pc = float(component.CriticalPressure) Tr = T/Tc #Reduced Temperature T is the global Temp value kappa = 0.37464+1.54226*w-0.26992*w**2 #PR kappa value c = 0.45724*(R**2)*(Tc**2)/Pc #PR multiply factor alfaT = (1 + kappa*(1-Tr**0.5))**2 #PR alfa(T) function aT = c*alfaT # a(T) Equation return aT def calculate_b(component): """Input a substance cs[i] Returns b value b = m^3/mol """ Tc = float(component.CriticalTemperature) Pc = float(component.CriticalPressure) b = (0.07780*R*Tc)/Pc return b kijs = {} if kij_input == None: def calculate_kij(c1, c2, tune): """Calculate binary interaction parameter. c1, c2 is the stream components, tune: 1.2 default """ Vc1 = float(c1.CriticalVolume) #Critical volume for substance 1 Vc2 = float(c2.CriticalVolume) #Critical volume for substance 2 k_ij = 1 - ( 2*sqrt( (Vc1**0.333)*(Vc2**0.333) )/(Vc1**0.333 + Vc2**0.333))**tune return k_ij if kij_tune != None and kij_tune <3 and kij_tune >0: for i in range(0,len(cs)): for j in range(0,len(cs)): kijs[(i,j)] = calculate_kij(cs[i],cs[j], kij_tune) else: for i in range(0,len(cs)): for j in range(0,len(cs)): kijs[(i,j)] = calculate_kij(cs[i],cs[j], 1.2) #Default tune 1.2 else: for i in range(0,len(cs)): for j in range(0,len(cs)): if i==j: kijs[(i,j)] = 0 else: if kij_input.get((i,j),None): if abs(kij_input.get((i,j))) < 0.3: kijs[(i,j)] = kij_input[(i,j)] else: kijs[(i,j)] = 0 else: kijs[(i,j)] = kijs[(j,i)] def calculate_amix(y,T): """a(T) value for mixture""" amix = 0 #Placeholder for a_mixture values for i in range(0,len(cs)) : for j in range(0,len(cs)): kij = kijs[(i,j)] #kij value calculation ai = calculate_a(cs[i],T) #ai value aj = calculate_a(cs[j],T) #aj value amix += y[i]*y[j]*sqrt(ai * aj)*(1-kij) #Update a_mix return amix def calculate_bmix(y): """ b value for the mixture""" bmix = 0 for i in range(0, len(cs)): bmix += y[i]*calculate_b(cs[i]) return bmix #amix = calculate_amix(y) # amix calculated value #bmix = calculate_bmix(y) #bmix calculated value def calculate_A(a,T): """Calculates A value for component or mixture. a or amix""" A = a * P/(R**2)/(T**2) # A factor return A def calculate_B(b,T): """Calculates B value for a component or mixture.""" B = b * P/(R*T) # B factor return B def calculate_Z(A,B,T): A = calculate_A(calculate_amix(y,T),T) B = calculate_B(calculate_bmix(y),T) coefficients = [1, B-1, A-2*B-3*B**2, B**2+2*B-A*B] # PR Z-equation return max(np_roots(coefficients))# Return largest root for vapor phase calculation amix = calculate_amix(y,T) bmix = calculate_bmix(y) A = calculate_A(calculate_amix(y,T),T) B = calculate_B(calculate_bmix(y),T) Z = calculate_Z(A,B,T) # CALCULATE FUGACITY COEFFICIENT #Z = calculate_Z(A,B) def calculate_phi(i,T): """Vapor phase fugacity coefficient phi for a component. :param comp: Input the substance/chemical""" comp = cs[i] a = calculate_a(comp,T) b = calculate_b(comp) ak = 0 # ak sum value for inside function for k in range(0,len(cs)): ak += y[k]* (1-kijs[(k,i)])* sqrt(calculate_a(cs[k],T)*calculate_a(comp,T)) phi = b*(Z-1)/bmix - log(Z-B) - A/(sqrt(8)*B)*(2*ak/amix - b/bmix)*log((Z+2.414*B)/(Z-0.414*B)) return exp(phi) fugacity_coefficients = [] for i in range(0,len(cs)): fugacity_coefficients.append( calculate_phi(i,T)) return fugacity_coefficients class PR78 (): """Peng-Robinson 1978 EOS Solver""" def fugacity_vapor(stream): """PENG-ROBINSON equation of state solver for vapor phase. :param stream: Stream object that contains chemicals. """ s = stream # Set stream variable cs = stream.substances # Components array T = s.get_temperature() # get system temperature Kelvin P = s.get_pressure() #get system pressure Pascal R = 8.314462 #Universal gas constant J/mol.K y = s.get_fractions()[0] #Molar fractions array #Calculate a(T) and b for each pure substance def calculate_a(component,T): """Input a substance i.e cs[i] Returns a value a = Pa.m^6/mol^2 """ w = float(component.AcentricityFactor) #acentric factor Tc = float(component.CriticalTemperature) Pc = float(component.CriticalPressure) Tr = T/Tc #Reduced Temperature T is the global Temp value if w <= 491: kappa = 0.37464 + 1.54226*w - 0.26992*w**2 #PR kappa value else: kappa = 0.379642 + 1.48503*w - 0.164423*w**2 + 0.016666*w**3 c = 0.457235*(R**2)*(Tc**2)/Pc #PR multiply factor alfaT = (1 + kappa*(1-Tr**0.5))**2 #PR alfa(T) function aT = c*alfaT # a(T) Equation return aT def calculate_b(component): """Input a substance cs[i] Returns b value b = m^3/mol """ Tc = float(component.CriticalTemperature) Pc = float(component.CriticalPressure) b = (0.077796*R*Tc)/Pc return b def calculate_kij(c1, c2, tune): """Calculate binary interaction parameter. c1, c2 is the stream components, tune: 1.2 default """ Vc1 = float(c1.CriticalVolume) #Critical volume for substance 1 Vc2 = float(c2.CriticalVolume) #Critical volume for substance 2 k_ij = 1 - ( 2*sqrt( (Vc1**0.333)*(Vc2**0.333) )/(Vc1**0.333 + Vc2**0.333))**tune return k_ij def calculate_amix(y,T): """a(T) value for mixture""" amix = 0 #Placeholder for a_mixture values for i in range(0,len(cs)) : for j in range(0,len(cs)): kij = calculate_kij(cs[i],cs[j], 1.2) #kij value calculation ai = calculate_a(cs[i],T) #ai value aj = calculate_a(cs[j],T) #aj value amix += y[i]*y[j]*sqrt(ai * aj)*(1-kij) #Update a_mix return amix def calculate_bmix(y): """ b value for the mixture""" bmix = 0 for i in range(0, len(cs)): bmix += y[i]*calculate_b(cs[i]) return bmix #amix = calculate_amix(y) # amix calculated value #bmix = calculate_bmix(y) #bmix calculated value def calculate_A(a,T): """Calculates A value for component or mixture. a or amix""" A = a * P/(R**2)/(T**2) # A factor return A def calculate_B(b,T): """Calculates B value for a component or mixture.""" B = b * P/(R*T) # B factor return B def calculate_Z(A,B,T): A = calculate_A(calculate_amix(y,T),T) B = calculate_B(calculate_bmix(y),T) coefficients = [1, B-1, A-2*B-3*B**2, B**2+2*B-A*B] # PR Z-equation return max(np_roots(coefficients))# Return largest root for vapor phase calculation # CALCULATE FUGACITY COEFFICIENT #Z = calculate_Z(A,B) def calculate_phi(comp,T): """Vapor phase fugacity coefficient phi for a component. :param comp: Input the substance/chemical""" a = calculate_a(comp,T) b = calculate_b(comp) amix = calculate_amix(y,T) bmix = calculate_bmix(y) A = calculate_A(calculate_amix(y,T),T) B = calculate_B(calculate_bmix(y),T) Z = calculate_Z(A,B,T) ak = 0 # ak sum value for inside function for k in range(0,len(cs)): ak += y[k]* (1-calculate_kij(cs[k],comp, 1.2))* sqrt(calculate_a(cs[k],T)*calculate_a(comp,T)) phi = b*(Z-1)/bmix - log(Z-B) - A/(sqrt(8)*B)*(2*ak/amix - b/bmix)*log((Z+2.414*B)/(Z-0.414*B)) return exp(phi) def h_deperture(cs): """Departure enthalpy with PR EOS""" h_dep = 0 for i in range(0,len(cs)): temp = T + 0.001 der1 = log(calculate_phi(cs[i], temp)) temp = T - 0.001 der2 = log(calculate_phi(cs[i], temp)) h_dep += (-R*T**2)*(der1-der2)/0.002*y[i] return h_dep def ig_enthalpy(cs): enthalpy = 0 for i in range(0,len(cs)): enthalpy += dbcall.ig_enthalpy(cs[i].IdealGasHeatCapacityCp, T)*y[i] return enthalpy/1000 #kJ/kmol def s_deperture(cs): """Departure entropy with PR EOS""" s_dep = 0 for i in range(0,len(cs)): temp = T + 0.001 der1 = log(calculate_phi(cs[i], temp)) temp = T - 0.001 der2 = log(calculate_phi(cs[i], temp)) dphi = (der1-der2)/0.002 s_dep += (-R*(T*dphi + log(calculate_phi(cs[i],T))))*y[i] return s_dep # J/mol.K def ig_entropy(cs): entropy = 0 P0 = 101325 # Reference pressure in Pa for i in range(0,len(cs)): #abs_entropy = float(cs[i].AbsEntropy) entropy += (dbcall.ig_entropy(cs[i].IdealGasHeatCapacityCp, T) -R*1000*log(P/P0) -R*1000*log(y[i]) )*y[i] return entropy/1000 def gibbs_energy(): return (ig_enthalpy(cs)+h_deperture(cs)) - (ig_entropy(cs)+s_deperture(cs))*T # TODO FALSE RESULT!!!!!!!!!!!! Liquid fugacity def fugacity_liquid(stream): """PENG-ROBINSON equation of state solver for liquid phase. :param stream: Stream object that contains chemicals. """ s = stream # Set stream variable cs = stream.substances # Components array T = s.get_temperature() # get system temperature Kelvin P = s.get_pressure() #get system pressure Pascal R = 8.314462 #Universal gas constant J/mol.K y = s.get_fractions()[0] #Molar fractions array #Calculate a(T) and b for each pure substance def calculate_a(component,T): """Input a substance i.e cs[i] Returns a value a = Pa.m^6/mol^2 """ w = float(component.AcentricityFactor) #acentric factor Tc = float(component.CriticalTemperature) Pc = float(component.CriticalPressure) Tr = T/Tc #Reduced Temperature T is the global Temp value if w <= 491: kappa = 0.37464 + 1.54226*w - 0.26992*w**2 #PR kappa value else: kappa = 0.379642 + 1.48503*w - 0.164423*w**2 + 0.016666*w**3 c = 0.45724*(R**2)*(Tc**2)/Pc #PR multiply factor alfaT = (1 + kappa*(1-Tr**0.5))**2 #PR alfa(T) function aT = c*alfaT # a(T) Equation return aT def calculate_b(component): """Input a substance cs[i] Returns b value b = m^3/mol """ Tc = float(component.CriticalTemperature) Pc = float(component.CriticalPressure) b = (0.07780*R*Tc)/Pc return b def calculate_kij(c1, c2, tune): """Calculate binary interaction parameter. c1, c2 is the stream components, tune: 1.2 default """ Vc1 = float(c1.CriticalVolume) #Critical volume for substance 1 Vc2 = float(c2.CriticalVolume) #Critical volume for substance 2 k_ij = 1 - ( 2*sqrt( (Vc1**0.333)*(Vc2**0.333) )/(Vc1**0.333 + Vc2**0.333))**tune return k_ij def calculate_amix(y,T): """a(T) value for mixture""" amix = 0 #Placeholder for a_mixture values for i in range(0,len(cs)) : for j in range(0,len(cs)): kij = calculate_kij(cs[i],cs[j], 1.2) #kij value calculation ai = calculate_a(cs[i],T) #ai value aj = calculate_a(cs[j],T) #aj value amix += y[i]*y[j]*sqrt(ai * aj)*(1-kij) #Update a_mix return amix def calculate_bmix(y): """ b value for the mixture""" bmix = 0 for i in range(0, len(cs)): bmix += y[i]*calculate_b(cs[i]) return bmix #amix = calculate_amix(y) # amix calculated value #bmix = calculate_bmix(y) #bmix calculated value def calculate_A(a,T): """Calculates A value for component or mixture. a or amix""" A = a * P/(R**2)/(T**2) # A factor return A def calculate_B(b,T): """Calculates B value for a component or mixture.""" B = b * P/(R*T) # B factor return B def calculate_Z(A,B,T): A = calculate_A(calculate_amix(y,T),T) B = calculate_B(calculate_bmix(y),T) coefficients = [1, B-1, A-2*B-3*B**2, B**2+2*B-A*B] # PR Z-equation roots = np_roots(coefficients) for root in roots: if root > 0 and root < max(roots): min_root = root return min_root # Return smallest root for vapor phase calculation # CALCULATE FUGACITY COEFFICIENT #Z = calculate_Z(A,B) def calculate_phi(comp,T): """Vapor phase fugacity coefficient phi for a component. :param comp: Input the substance/chemical""" a = calculate_a(comp,T) b = calculate_b(comp) amix = calculate_amix(y,T) bmix = calculate_bmix(y) A = calculate_A(calculate_amix(y,T),T) B = calculate_B(calculate_bmix(y),T) Z = calculate_Z(A,B,T) ak = 0 # ak sum value for inside function for k in range(0,len(cs)): ak += y[k]* (1-calculate_kij(cs[k],comp, 1.2))* sqrt(calculate_a(cs[k],T)*calculate_a(comp,T)) phi = b*(Z-1)/bmix - log(Z-B) - A/(sqrt(8)*B)*(2*ak/amix - b/bmix)*log((Z+2.414*B)/(Z-0.414*B)) return exp(phi) def h_deperture(cs): """Departure enthalpy with PR EOS""" h_dep = 0 for i in range(0,len(cs)): temp = T + 0.001 der1 = log(calculate_phi(cs[i], temp)) temp = T - 0.001 der2 = log(calculate_phi(cs[i], temp)) h_dep += (-R*T**2)*(der1-der2)/0.002*y[i] return h_dep def ig_enthalpy(cs): enthalpy = 0 for i in range(0,len(cs)): h_vap = dbcall.dh_vaporization(cs[i].HeatOfVaporization, T, cs[i].CriticalTemperature) enthalpy += (dbcall.ig_enthalpy(cs[i].IdealGasHeatCapacityCp, T) - h_vap)*y[i] return enthalpy/1000 #kJ/kmol def s_deperture(cs): """Departure entropy with PR EOS""" s_dep = 0 for i in range(0,len(cs)): temp = T + 0.001 der1 = log(calculate_phi(cs[i], temp)) temp = T - 0.001 der2 = log(calculate_phi(cs[i], temp)) dphi = (der1-der2)/0.002 s_dep += (-R*(T*dphi + log(calculate_phi(cs[i],T))))*y[i] return s_dep # J/mol.K def ig_entropy(cs): entropy = 0 P0 = 101325 # Reference pressure in Pa for i in range(0,len(cs)): #abs_entropy = float(cs[i].AbsEntropy) entropy += (dbcall.ig_entropy(cs[i].IdealGasHeatCapacityCp, T) -R*1000*log(P/P0) -R*1000*log(y[i]) )*y[i] return entropy/1000 def gibbs_energy(): return (ig_enthalpy(cs)+h_deperture(cs)) - (ig_entropy(cs)+s_deperture(cs))*T def phi_vapor(components, temp, pressure, fractions, kij_input = None, kij_tune=None): """PENG-ROBINSON 78 equation of state solver for vapor phase. :param components: Array that contains chemicals. :param kij_input: Dict object {(i,j):kij, (i,k):kik....} :param kij_tune: Tuning parameter for kij equation. Leave as None if kij_input given. """ cs = components # Components array T = temp # get system temperature Kelvin P = pressure #get system pressure Pascal R = 8.314462 #Universal gas constant J/mol.K y = fractions #Molar fractions array #Calculate a(T) and b for each pure substance def calculate_a(component,T): """Input a substance i.e cs[i] Returns a value a = Pa.m^6/mol^2 """ w = float(component.AcentricityFactor) #acentric factor Tc = float(component.CriticalTemperature) Pc = float(component.CriticalPressure) Tr = T/Tc #Reduced Temperature T is the global Temp value if w <= 491: kappa = 0.37464 + 1.54226*w - 0.26992*w**2 #PR kappa value else: kappa = 0.379642 + 1.48503*w - 0.164423*w**2 + 0.016666*w**3 c = 0.457235*(R**2)*(Tc**2)/Pc #PR multiply factor alfaT = (1 + kappa*(1-Tr**0.5))**2 #PR alfa(T) function aT = c*alfaT # a(T) Equation return aT def calculate_b(component): """Input a substance cs[i] Returns b value b = m^3/mol """ Tc = float(component.CriticalTemperature) Pc = float(component.CriticalPressure) b = (0.077796*R*Tc)/Pc return b kijs = {} if kij_input == None: def calculate_kij(c1, c2, tune): """Calculate binary interaction parameter. c1, c2 is the stream components, tune: 1.2 default """ Vc1 = float(c1.CriticalVolume) #Critical volume for substance 1 Vc2 = float(c2.CriticalVolume) #Critical volume for substance 2 k_ij = 1 - ( 2*sqrt( (Vc1**0.333)*(Vc2**0.333) )/(Vc1**0.333 + Vc2**0.333))**tune return k_ij if kij_tune != None and kij_tune <3 and kij_tune >0: for i in range(0,len(cs)): for j in range(0,len(cs)): kijs[(i,j)] = calculate_kij(cs[i],cs[j], kij_tune) else: for i in range(0,len(cs)): for j in range(0,len(cs)): kijs[(i,j)] = calculate_kij(cs[i],cs[j], 1.2) #Default tune 1.2 else: for i in range(0,len(cs)): for j in range(0,len(cs)): if kij_input.get((i,j),None): if abs(kij_input.get((i,j))) < 0.3: kijs[(i,j)] = kij_input[(i,j)] else: kijs[(i,j)] = 0 else: kijs[(i,j)] = kijs[(j,i)] def calculate_amix(y,T): """a(T) value for mixture""" amix = 0 #Placeholder for a_mixture values for i in range(0,len(cs)) : for j in range(0,len(cs)): kij = kijs[(i,j)] #kij value calculation ai = calculate_a(cs[i],T) #ai value aj = calculate_a(cs[j],T) #aj value amix += y[i]*y[j]*sqrt(ai * aj)*(1-kij) #Update a_mix return amix def calculate_bmix(y): """ b value for the mixture""" bmix = 0 for i in range(0, len(cs)): bmix += y[i]*calculate_b(cs[i]) return bmix #amix = calculate_amix(y) # amix calculated value #bmix = calculate_bmix(y) #bmix calculated value def calculate_A(a,T): """Calculates A value for component or mixture. a or amix""" A = a * P/(R**2)/(T**2) # A factor return A def calculate_B(b,T): """Calculates B value for a component or mixture.""" B = b * P/(R*T) # B factor return B def calculate_Z(A,B,T): A = calculate_A(calculate_amix(y,T),T) B = calculate_B(calculate_bmix(y),T) coefficients = [1, B-1, A-2*B-3*B**2, B**2+2*B-A*B] # PR Z-equation return max(np_roots(coefficients))# Return largest root for vapor phase calculation amix = calculate_amix(y,T) bmix = calculate_bmix(y) A = calculate_A(calculate_amix(y,T),T) B = calculate_B(calculate_bmix(y),T) Z = calculate_Z(A,B,T) # CALCULATE FUGACITY COEFFICIENT #Z = calculate_Z(A,B) def calculate_phi(i,T): """Vapor phase fugacity coefficient phi for a component. :param comp: Input the substance/chemical""" comp = cs[i] a = calculate_a(comp,T) b = calculate_b(comp) ak = 0 # ak sum value for inside function for k in range(0,len(cs)): ak += y[k]* (1-kijs[(k,i)])* sqrt(calculate_a(cs[k],T)*calculate_a(comp,T)) phi = b*(Z-1)/bmix - log(Z-B) - A/(sqrt(8)*B)*(2*ak/amix - b/bmix)*log((Z+2.414*B)/(Z-0.414*B)) return exp(phi) fugacity_coefficients = [] for i in range(0,len(cs)): fugacity_coefficients.append( calculate_phi(i,T)) return fugacity_coefficients class RK (): """Redlich-Kwong EOS Solver""" def fugacity_vapor(stream): """RK equation of state solver for vapor phase. :param stream: Stream object that contains chemicals. """ s = stream # Set stream variable cs = stream.substances # Components array T = s.get_temperature() # get system temperature Kelvin P = s.get_pressure() #get system pressure Pascal R = 8.314462 #Universal gas constant J/mol.K y = s.get_fractions()[0] #Molar fractions array #Calculate a(T) and b for each pure substance def calculate_a(component): """Input a substance i.e cs[i] Returns a value a = Pa.m^6/mol^2 """ Tc = float(component.CriticalTemperature) Pc = float(component.CriticalPressure) a = 0.427480* (R**2) * (Tc**2.5) /Pc return a def calculate_b(component): """Input a substance cs[i] Returns b value b = m^3/mol """ Tc = float(component.CriticalTemperature) Pc = float(component.CriticalPressure) b = (0.086640*R*Tc)/Pc return b def calculate_kij(c1, c2, tune): """Calculate binary interaction parameter. c1, c2 is the stream components, tune: 1.2 default """ Vc1 = float(c1.CriticalVolume) #Critical volume for substance 1 Vc2 = float(c2.CriticalVolume) #Critical volume for substance 2 k_ij = 1 - ( 2*sqrt( (Vc1**0.333)*(Vc2**0.333) )/(Vc1**0.333 + Vc2**0.333))**tune return k_ij def calculate_amix(y): """a value for mixture""" amix = 0 #Placeholder for a_mixture values for i in range(0,len(cs)) : for j in range(0,len(cs)): kij = 0 #calculate_kij(cs[i],cs[j], 1.2) DEFAULT kij=0 ai = calculate_a(cs[i]) #ai value aj = calculate_a(cs[j]) #aj value amix += y[i]*y[j]*sqrt(ai * aj)*(1-kij) #Update a_mix return amix def calculate_bmix(y): """ b value for the mixture""" bmix = 0 for i in range(0, len(cs)): bmix += y[i]*calculate_b(cs[i]) return bmix #amix = calculate_amix(y) # amix calculated value #bmix = calculate_bmix(y) #bmix calculated value def calculate_A(a,T): """Calculates A value for component or mixture. a or amix""" A = a * P/(R**2)/(T**2.5) # A factor return A def calculate_B(b,T): """Calculates B value for a component or mixture.""" B = b * P/(R*T) # B factor return B def calculate_Z(A,B,T): coefficients = [1, -1, A-B-B**2, -A*B] # PR Z-equation root = np_roots(coefficients) return max(root)# Return largest root for vapor phase calculation # CALCULATE FUGACITY COEFFICIENT #Z = calculate_Z(A,B) def calculate_phi(comp,T): """Vapor phase fugacity coefficient phi for a component. :param comp: Input the substance/chemical""" a = calculate_a(comp) b = calculate_b(comp) amix = calculate_amix(y) bmix = calculate_bmix(y) A = calculate_A(calculate_amix(y),T) B = calculate_B(calculate_bmix(y),T) Z = calculate_Z(A,B,T) Ai = calculate_A(a,T) Bi = calculate_B(b,T) phi = Bi/B*(Z-1) - log(Z-B)+ A/B*(Bi/B - 2*(Ai/A)**0.5)*log(1+B/Z) return exp(phi) def h_deperture(cs): """Departure enthalpy with PR EOS""" h_dep = 0 for i in range(0,len(cs)): temp = T + 0.001 der1 = log(calculate_phi(cs[i], temp)) temp = T - 0.001 der2 = log(calculate_phi(cs[i], temp)) h_dep += (-R*T**2)*(der1-der2)/0.002*y[i] return h_dep def ig_enthalpy(cs): enthalpy = 0 for i in range(0,len(cs)): enthalpy += dbcall.ig_enthalpy(cs[i].IdealGasHeatCapacityCp, T)*y[i] return enthalpy/1000 #kJ/kmol def s_deperture(cs): """Departure entropy with PR EOS""" s_dep = 0 for i in range(0,len(cs)): temp = T + 0.001 der1 = log(calculate_phi(cs[i], temp)) temp = T - 0.001 der2 = log(calculate_phi(cs[i], temp)) dphi = (der1-der2)/0.002 s_dep += (-R*(T*dphi + log(calculate_phi(cs[i],T))))*y[i] return s_dep # J/mol.K def ig_entropy(cs): entropy = 0 P0 = 101325 # Reference pressure in Pa for i in range(0,len(cs)): #abs_entropy = float(cs[i].AbsEntropy) entropy += (dbcall.ig_entropy(cs[i].IdealGasHeatCapacityCp, T) -R*1000*log(P/P0) -R*1000*log(y[i]) )*y[i] return entropy/1000 def gibbs_energy(): return (ig_enthalpy(cs)+h_deperture(cs)) - (ig_entropy(cs)+s_deperture(cs))*T print(calculate_phi(cs[0],T), calculate_phi(cs[1],T)) def phi_vapor(components, temp, pressure, fractions, kij_input = None, kij_tune=None): """Redlich-Kwong equation of state solver for vapor phase. :param components: Array that contains chemicals. :param kij_input: Dict object {(i,j):kij, (i,k):kik....} :param kij_tune: Tuning parameter for kij equation. Leave as None if kij_input given. """ cs = components # Components array T = temp # get system temperature Kelvin P = pressure #get system pressure Pascal R = 8.314462 #Universal gas constant J/mol.K y = fractions #Molar fractions array #Calculate a(T) and b for each pure substance def calculate_a(component): """Input a substance i.e cs[i] Returns a value a = Pa.m^6/mol^2 """ Tc = float(component.CriticalTemperature) Pc = float(component.CriticalPressure) a = 0.427480* (R**2) * (Tc**2.5) /Pc return a def calculate_b(component): """Input a substance cs[i] Returns b value b = m^3/mol """ Tc = float(component.CriticalTemperature) Pc = float(component.CriticalPressure) b = (0.086640*R*Tc)/Pc return b kijs = {} if kij_input == None: def calculate_kij(c1, c2, tune): """Calculate binary interaction parameter. c1, c2 is the stream components, tune: 1.2 default """ Vc1 = float(c1.CriticalVolume) #Critical volume for substance 1 Vc2 = float(c2.CriticalVolume) #Critical volume for substance 2 k_ij = 1 - ( 2*sqrt( (Vc1**0.333)*(Vc2**0.333) )/(Vc1**0.333 + Vc2**0.333))**tune return k_ij if kij_tune != None and kij_tune <3 and kij_tune >0: for i in range(0,len(cs)): for j in range(0,len(cs)): kijs[(i,j)] = calculate_kij(cs[i],cs[j], kij_tune) else: for i in range(0,len(cs)): for j in range(0,len(cs)): kijs[(i,j)] = calculate_kij(cs[i],cs[j], 1.2) #Default tune 1.2 else: for i in range(0,len(cs)): for j in range(0,len(cs)): if kij_input.get((i,j),None): if abs(kij_input.get((i,j))) < 0.3: kijs[(i,j)] = kij_input[(i,j)] else: kijs[(i,j)] = 0 else: kijs[(i,j)] = kijs[(j,i)] def calculate_amix(y): """a value for mixture""" amix = 0 #Placeholder for a_mixture values for i in range(0,len(cs)) : for j in range(0,len(cs)): kij = kijs[(i,j)] ai = calculate_a(cs[i]) #ai value aj = calculate_a(cs[j]) #aj value amix += y[i]*y[j]*sqrt(ai * aj)*(1-kij) #Update a_mix return amix def calculate_bmix(y): """ b value for the mixture""" bmix = 0 for i in range(0, len(cs)): bmix += y[i]*calculate_b(cs[i]) return bmix #amix = calculate_amix(y) # amix calculated value #bmix = calculate_bmix(y) #bmix calculated value def calculate_A(a,T): """Calculates A value for component or mixture. a or amix""" A = a * P/(R**2)/(T**2.5) # A factor return A def calculate_B(b,T): """Calculates B value for a component or mixture.""" B = b * P/(R*T) # B factor return B def calculate_Z(A,B,T): coefficients = [1, -1, A-B-B**2, -A*B] # PR Z-equation root = np_roots(coefficients) return max(root)# Return largest root for vapor phase calculation amix = calculate_amix(y) bmix = calculate_bmix(y) A = calculate_A(calculate_amix(y),T) B = calculate_B(calculate_bmix(y),T) Z = calculate_Z(A,B,T) # CALCULATE FUGACITY COEFFICIENT #Z = calculate_Z(A,B) def calculate_phi(i,T): """Vapor phase fugacity coefficient phi for a component. :param comp: Input the substance/chemical""" comp = cs[i] a = calculate_a(comp) b = calculate_b(comp) Ai = calculate_A(a,T) Bi = calculate_B(b,T) phi = Bi/B*(Z-1) - log(Z-B)+ A/B*(Bi/B - 2*(Ai/A)**0.5)*log(1+B/Z) return exp(phi) def h_deperture(cs): """Departure enthalpy with PR EOS""" h_dep = 0 for i in range(0,len(cs)): temp = T + 0.001 der1 = log(calculate_phi(cs[i], temp)) temp = T - 0.001 der2 = log(calculate_phi(cs[i], temp)) h_dep += (-R*T**2)*(der1-der2)/0.002*y[i] return h_dep def ig_enthalpy(cs): enthalpy = 0 for i in range(0,len(cs)): enthalpy += dbcall.ig_enthalpy(cs[i].IdealGasHeatCapacityCp, T)*y[i] return enthalpy/1000 #kJ/kmol def s_deperture(cs): """Departure entropy with PR EOS""" s_dep = 0 for i in range(0,len(cs)): temp = T + 0.001 der1 = log(calculate_phi(cs[i], temp)) temp = T - 0.001 der2 = log(calculate_phi(cs[i], temp)) dphi = (der1-der2)/0.002 s_dep += (-R*(T*dphi + log(calculate_phi(cs[i],T))))*y[i] return s_dep # J/mol.K def ig_entropy(cs): entropy = 0 P0 = 101325 # Reference pressure in Pa for i in range(0,len(cs)): #abs_entropy = float(cs[i].AbsEntropy) entropy += (dbcall.ig_entropy(cs[i].IdealGasHeatCapacityCp, T) -R*1000*log(P/P0) -R*1000*log(y[i]) )*y[i] return entropy/1000 def gibbs_energy(): return (ig_enthalpy(cs)+h_deperture(cs)) - (ig_entropy(cs)+s_deperture(cs))*T phi = [] for i in range(len(cs)): phi.append(calculate_phi(i,T)) return phi class SRK (): """Soave-Redlich-Kwong EOS solver class""" def vapor_phase(stream): """SRK equation of state solver for vapor phase. :param stream: Stream object that contains chemicals. """ s = stream # Set stream variable cs = stream.substances # Components array T = s.get_temperature() # get system temperature Kelvin P = s.get_pressure() #get system pressure Pascal R = 8.314462 #Universal gas constant J/mol.K y = s.get_fractions()[0] #Molar fractions array #Calculate a(T) and b for each pure substance def calculate_a(component,T): """Input a substance i.e cs[i] Returns a value a = Pa.m^6/mol^2 """ w = float(component.AcentricityFactor) #acentric factor Tc = float(component.CriticalTemperature) Pc = float(component.CriticalPressure) Tr = T/Tc #Reduced Temperature T is the global Temp value kappa = 0.48 + 1.574*w - 0.176*w**2 #SRK kappa value c = 0.42747*(R**2)*(Tc**2)/Pc #SRK multiply factor alfaT = (1 + kappa*(1-Tr**0.5))**2 #SRK alfa(T) function aT = c*alfaT # a(T) Equation return aT def calculate_b(component): """Input a substance cs[i] Returns b value b = m^3/mol """ Tc = float(component.CriticalTemperature) Pc = float(component.CriticalPressure) b = (0.08664*R*Tc)/Pc return b def calculate_kij(c1, c2, tune): """Calculate binary interaction parameter. c1, c2 is the stream components, tune: 1.2 default """ Vc1 = float(c1.CriticalVolume) #Critical volume for substance 1 Vc2 = float(c2.CriticalVolume) #Critical volume for substance 2 k_ij = 1 - ( 2*sqrt( (Vc1**0.333)*(Vc2**0.333) )/(Vc1**0.333 + Vc2**0.333))**tune return k_ij def calculate_amix(y,T): """a(T) value for mixture""" amix = 0 #Placeholder for a_mixture values for i in range(0,len(cs)) : for j in range(0,len(cs)): kij = calculate_kij(cs[i],cs[j], 1.2) #kij value calculation ai = calculate_a(cs[i],T) #ai value aj = calculate_a(cs[j],T) #aj value amix += y[i]*y[j]*sqrt(ai * aj)*(1-kij) #Update a_mix return amix def calculate_bmix(y): """ b value for the mixture""" bmix = 0 for i in range(0, len(cs)): bmix += y[i]*calculate_b(cs[i]) return bmix #amix = calculate_amix(y) # amix calculated value #bmix = calculate_bmix(y) #bmix calculated value def calculate_A(a,T): """Calculates A value for component or mixture. a or amix""" A = a * P/(R**2)/(T**2) # A factor return A def calculate_B(b,T): """Calculates B value for a component or mixture.""" B = b * P/(R*T) # B factor return B def calculate_Z(A,B,T): A = calculate_A(calculate_amix(y,T),T) B = calculate_B(calculate_bmix(y),T) coefficients = [1, -1, A-B-B**2, -A*B] # PR Z-equation return max(np_roots(coefficients))# Return largest root for vapor phase calculation # CALCULATE FUGACITY COEFFICIENT #Z = calculate_Z(A,B) def calculate_phi(comp,T): """Vapor phase fugacity coefficient phi for a component. :param comp: Input the substance/chemical""" a = calculate_a(comp,T) b = calculate_b(comp) amix = calculate_amix(y,T) bmix = calculate_bmix(y) A = calculate_A(calculate_amix(y,T),T) B = calculate_B(calculate_bmix(y),T) Z = calculate_Z(A,B,T) ak = 0 # ak sum value for inside function for k in range(0,len(cs)): ak += y[k]* (1-calculate_kij(cs[k],comp, 1.2))* sqrt(calculate_a(cs[k],T)*calculate_a(comp,T)) phi = b*(Z-1)/bmix - log(Z-B) - A/B*(2*ak/amix - b/bmix)*log((Z+B)/Z) return exp(phi) def h_deperture(cs): """Departure enthalpy with SRK EOS""" h_dep = 0 for i in range(0,len(cs)): temp = T + 0.001 der1 = log(calculate_phi(cs[i], temp)) temp = T - 0.001 der2 = log(calculate_phi(cs[i], temp)) h_dep += (-R*T**2)*(der1-der2)/0.002*y[i] return h_dep def ig_enthalpy(cs): enthalpy = 0 for i in range(0,len(cs)): enthalpy += dbcall.ig_enthalpy(cs[i].IdealGasHeatCapacityCp, T)*y[i] return enthalpy/1000 #kJ/kmol def s_deperture(cs): """Departure entropy with PR EOS""" s_dep = 0 for i in range(0,len(cs)): temp = T + 0.001 der1 = log(calculate_phi(cs[i], temp)) temp = T - 0.001 der2 = log(calculate_phi(cs[i], temp)) dphi = (der1-der2)/0.002 s_dep += (-R*(T*dphi + log(calculate_phi(cs[i],T))))*y[i] return s_dep # J/mol.K def ig_entropy(cs): entropy = 0 P0 = 101325 # Reference pressure in Pa for i in range(0,len(cs)): #abs_entropy = float(cs[i].AbsEntropy) entropy += (dbcall.ig_entropy(cs[i].IdealGasHeatCapacityCp, T) -R*1000*log(P/P0) -R*1000*log(y[i]) )*y[i] return entropy/1000 def gibbs_energy(cs): Pref = 101325 #Pa reference pressure gibbs_dep = 0 gibbs_ig = ig_enthalpy(cs) - T*ig_entropy(cs) for i in range(0,len(cs)): gibbs_dep += R*T*log(calculate_phi(cs[i],T))*y[i] + R*T*log(P/Pref) return gibbs_dep + gibbs_ig def heat_capacity(): cp = 0 for i in range(0,len(cs)): cp += dbcall.general(cs[i].IdealGasHeatCapacityCp, T)*y[i] return cp heatCp = heat_capacity() enthalpy = ig_enthalpy(cs)+h_deperture(cs) entropy = ig_entropy(cs)+s_deperture(cs) gibbs = gibbs_energy(cs) print("Res. Enthalpy",h_deperture(cs)) print("IG enthapy", ig_enthalpy(cs)) """print("Entropy", entropy) print("Gibbs", gibbs) print("Heat capacity", heatCp)""" #TODO bütün thermal ve fiziksel properties geri döndürülecek def liquid_phase(stream): """SRK equation of state solver for vapor phase. :param stream: Stream object that contains chemicals. """ s = stream # Set stream variable cs = stream.substances # Components array T = s.get_temperature() # get system temperature Kelvin P = s.get_pressure() #get system pressure Pascal R = 8.314462 #Universal gas constant J/mol.K y = s.get_fractions()[0] #Molar fractions array #Calculate a(T) and b for each pure substance def calculate_a(component,T): """Input a substance i.e cs[i] Returns a value a = Pa.m^6/mol^2 """ w = float(component.AcentricityFactor) #acentric factor Tc = float(component.CriticalTemperature) Pc = float(component.CriticalPressure) Tr = T/Tc #Reduced Temperature T is the global Temp value kappa = 0.48 + 1.574*w - 0.176*w**2 #SRK kappa value c = 0.42747*(R**2)*(Tc**2)/Pc #SRK multiply factor alfaT = (1 + kappa*(1-Tr**0.5))**2 #SRK alfa(T) function aT = c*alfaT # a(T) Equation return aT def calculate_b(component): """Input a substance cs[i] Returns b value b = m^3/mol """ Tc = float(component.CriticalTemperature) Pc = float(component.CriticalPressure) b = (0.08664*R*Tc)/Pc return b def calculate_kij(c1, c2, tune): """Calculate binary interaction parameter. c1, c2 is the stream components, tune: 1.2 default """ Vc1 = float(c1.CriticalVolume) #Critical volume for substance 1 Vc2 = float(c2.CriticalVolume) #Critical volume for substance 2 k_ij = 1 - ( 2*sqrt( (Vc1**0.333)*(Vc2**0.333) )/(Vc1**0.333 + Vc2**0.333))**tune return k_ij def calculate_amix(y,T): """a(T) value for mixture""" amix = 0 #Placeholder for a_mixture values for i in range(0,len(cs)) : for j in range(0,len(cs)): kij = calculate_kij(cs[i],cs[j], 1.2) #kij value calculation ai = calculate_a(cs[i],T) #ai value aj = calculate_a(cs[j],T) #aj value amix += y[i]*y[j]*sqrt(ai * aj)*(1-kij) #Update a_mix return amix def calculate_bmix(y): """ b value for the mixture""" bmix = 0 for i in range(0, len(cs)): bmix += y[i]*calculate_b(cs[i]) return bmix #amix = calculate_amix(y) # amix calculated value #bmix = calculate_bmix(y) #bmix calculated value def calculate_A(a,T): """Calculates A value for component or mixture. a or amix""" A = a * P/(R**2)/(T**2) # A factor return A def calculate_B(b,T): """Calculates B value for a component or mixture.""" B = b * P/(R*T) # B factor return B def calculate_Z(T): A = calculate_A(calculate_amix(y,T),T) B = calculate_B(calculate_bmix(y),T) coefficients = [1, -1, A-B-B**2, -A*B] # PR Z-equation roots = np_roots(coefficients) for root in roots: if root > 0 and root < max(roots): min_root = root return min_root # Return smallest root for vapor phase calculation # CALCULATE FUGACITY COEFFICIENT #Z = calculate_Z(A,B) def calculate_phi(comp,T): """Vapor phase fugacity coefficient phi for a component. :param comp: Input the substance/chemical""" a = calculate_a(comp,T) b = calculate_b(comp) amix = calculate_amix(y,T) bmix = calculate_bmix(y) A = calculate_A(calculate_amix(y,T),T) B = calculate_B(calculate_bmix(y),T) Z = calculate_Z(T) ak = 0 # ak sum value for inside function for k in range(0,len(cs)): ak += y[k]* (1-calculate_kij(cs[k],comp, 1.2))* sqrt(calculate_a(cs[k],T)*calculate_a(comp,T)) phi = b*(Z-1)/bmix - log(Z-B) - A/B*(2*ak/amix - b/bmix)*log((Z+B)/Z) return exp(phi) def h_deperture(cs): """Departure enthalpy with PR EOS""" h_dep = 0 for i in range(0,len(cs)): temp = T + 0.001 der1 = log(calculate_phi(cs[i], temp)) temp = T - 0.001 der2 = log(calculate_phi(cs[i], temp)) h_dep += (-R*T**2)*(der1-der2)/0.002*y[i] return h_dep def ig_enthalpy(cs): enthalpy = 0 for i in range(0,len(cs)): enthalpy += dbcall.ig_enthalpy(cs[i].IdealGasHeatCapacityCp, T)*y[i] return enthalpy/1000 #kJ/kmol def s_deperture(cs): """Departure entropy with PR EOS""" s_dep = 0 for i in range(0,len(cs)): temp = T + 0.001 der1 = log(calculate_phi(cs[i], temp)) temp = T - 0.001 der2 = log(calculate_phi(cs[i], temp)) dphi = (der1-der2)/0.002 s_dep += (-R*(T*dphi + log(calculate_phi(cs[i],T))))*y[i] return s_dep # J/mol.K def ig_entropy(cs): entropy = 0 P0 = 101325 # Reference pressure in Pa for i in range(0,len(cs)): #abs_entropy = float(cs[i].AbsEntropy) entropy += (dbcall.ig_entropy(cs[i].IdealGasHeatCapacityCp, T) -R*1000*log(P/P0) -R*1000*log(y[i]) )*y[i] return entropy/1000 def gibbs_energy(): return (ig_enthalpy(cs)+h_deperture(cs)) - (ig_entropy(cs)+s_deperture(cs))*T def heat_capacity(): cp = 0 for i in range(0,len(cs)): cp += dbcall.general(cs[i].LiquidHeatCapacityCp, T)*y[i] return cp heatCp = heat_capacity() enthalpy = ig_enthalpy(cs) + h_deperture(cs) entropy = ig_entropy(cs) + s_deperture(cs) print("Enthalpy", enthalpy) #print("Entropy", entropy) #print("Heat Capacity", heatCp) def phi_vapor(components, temp, pressure, fractions, kij_input = None, kij_tune=None): """Soave-Redlich-Kwong equation of state solver for vapor phase. :param components: Array that contains chemicals. :param kij_input: Dict object {(i,j):kij, (i,k):kik....} :param kij_tune: Tuning parameter for kij equation. Leave as None if kij_input given. """ cs = components # Components array T = temp # get system temperature Kelvin P = pressure #get system pressure Pascal R = 8.314462 #Universal gas constant J/mol.K y = fractions #Molar fractions array #Calculate a(T) and b for each pure substance def calculate_a(component,T): """Input a substance i.e cs[i] Returns a value a = Pa.m^6/mol^2 """ w = float(component.AcentricityFactor) #acentric factor Tc = float(component.CriticalTemperature) Pc = float(component.CriticalPressure) Tr = T/Tc #Reduced Temperature T is the global Temp value kappa = 0.48 + 1.574*w - 0.176*w**2 #SRK kappa value c = 0.42747*(R**2)*(Tc**2)/Pc #SRK multiply factor alfaT = (1 + kappa*(1-Tr**0.5))**2 #SRK alfa(T) function aT = c*alfaT # a(T) Equation return aT def calculate_b(component): """Input a substance cs[i] Returns b value b = m^3/mol """ Tc = float(component.CriticalTemperature) Pc = float(component.CriticalPressure) b = (0.08664*R*Tc)/Pc return b kijs = {} if kij_input == None: def calculate_kij(c1, c2, tune): """Calculate binary interaction parameter. c1, c2 is the stream components, tune: 1.2 default """ Vc1 = float(c1.CriticalVolume) #Critical volume for substance 1 Vc2 = float(c2.CriticalVolume) #Critical volume for substance 2 k_ij = 1 - ( 2*sqrt( (Vc1**0.333)*(Vc2**0.333) )/(Vc1**0.333 + Vc2**0.333))**tune return k_ij if kij_tune != None and kij_tune <3 and kij_tune >0: for i in range(0,len(cs)): for j in range(0,len(cs)): kijs[(i,j)] = calculate_kij(cs[i],cs[j], kij_tune) else: for i in range(0,len(cs)): for j in range(0,len(cs)): kijs[(i,j)] = calculate_kij(cs[i],cs[j], 1.2) #Default tune 1.2 else: for i in range(0,len(cs)): for j in range(0,len(cs)): if kij_input.get((i,j),None): if abs(kij_input.get((i,j))) < 0.3: kijs[(i,j)] = kij_input[(i,j)] else: kijs[(i,j)] = 0 else: kijs[(i,j)] = kijs[(j,i)] def calculate_amix(y,T): """a(T) value for mixture""" amix = 0 #Placeholder for a_mixture values for i in range(0,len(cs)) : for j in range(0,len(cs)): kij = kijs[(i,j)] #kij value calculation ai = calculate_a(cs[i],T) #ai value aj = calculate_a(cs[j],T) #aj value amix += y[i]*y[j]*sqrt(ai * aj)*(1-kij) #Update a_mix return amix def calculate_bmix(y): """ b value for the mixture""" bmix = 0 for i in range(0, len(cs)): bmix += y[i]*calculate_b(cs[i]) return bmix #amix = calculate_amix(y) # amix calculated value #bmix = calculate_bmix(y) #bmix calculated value def calculate_A(a,T): """Calculates A value for component or mixture. a or amix""" A = a * P/(R**2)/(T**2) # A factor return A def calculate_B(b,T): """Calculates B value for a component or mixture.""" B = b * P/(R*T) # B factor return B def calculate_Z(A,B,T): A = calculate_A(calculate_amix(y,T),T) B = calculate_B(calculate_bmix(y),T) coefficients = [1, -1, A-B-B**2, -A*B] # PR Z-equation return max(np_roots(coefficients))# Return largest root for vapor phase calculation amix = calculate_amix(y,T) bmix = calculate_bmix(y) A = calculate_A(calculate_amix(y,T),T) B = calculate_B(calculate_bmix(y),T) Z = calculate_Z(A,B,T) # CALCULATE FUGACITY COEFFICIENT #Z = calculate_Z(A,B) def calculate_phi(i,T): """Vapor phase fugacity coefficient phi for a component. :param comp: Input the substance/chemical""" comp = cs[i] a = calculate_a(comp,T) b = calculate_b(comp) ak = 0 # ak sum value for inside function for k in range(0,len(cs)): ak += y[k]* (1-kijs[(k,i)])* sqrt(calculate_a(cs[k],T)*calculate_a(comp,T)) phi = b*(Z-1)/bmix - log(Z-B) - A/B*(2*ak/amix - b/bmix)*log((Z+B)/Z) return exp(phi) fug_phi = [] for i in range(0,len(cs)): fug_phi.append( calculate_phi(i,T) ) return fug_phi def phi_liquid(components, temp, pressure, fractions, kij_input = None, kij_tune=None): """Soave-Redlich-Kwong equation of state solver for vapor phase. :param components: Array that contains chemicals. :param kij_input: Dict object {(i,j):kij, (i,k):kik....} :param kij_tune: Tuning parameter for kij equation. Leave as None if kij_input given. """ cs = components # Components array T = temp # get system temperature Kelvin P = pressure #get system pressure Pascal R = 8.314462 #Universal gas constant J/mol.K y = fractions #Molar fractions array #Calculate a(T) and b for each pure substance def calculate_a(component,T): """Input a substance i.e cs[i] Returns a value a = Pa.m^6/mol^2 """ w = float(component.AcentricityFactor) #acentric factor Tc = float(component.CriticalTemperature) Pc = float(component.CriticalPressure) Tr = T/Tc #Reduced Temperature T is the global Temp value kappa = 0.48 + 1.574*w - 0.176*w**2 #SRK kappa value c = 0.42747*(R**2)*(Tc**2)/Pc #SRK multiply factor alfaT = (1 + kappa*(1-Tr**0.5))**2 #SRK alfa(T) function aT = c*alfaT # a(T) Equation return aT def calculate_b(component): """Input a substance cs[i] Returns b value b = m^3/mol """ Tc = float(component.CriticalTemperature) Pc = float(component.CriticalPressure) b = (0.08664*R*Tc)/Pc return b kijs = {} if kij_input == None: def calculate_kij(c1, c2, tune): """Calculate binary interaction parameter. c1, c2 is the stream components, tune: 1.2 default """ Vc1 = float(c1.CriticalVolume) #Critical volume for substance 1 Vc2 = float(c2.CriticalVolume) #Critical volume for substance 2 k_ij = 1 - ( 2*sqrt( (Vc1**0.333)*(Vc2**0.333) )/(Vc1**0.333 + Vc2**0.333))**tune return k_ij if kij_tune != None and kij_tune <3 and kij_tune >0: for i in range(0,len(cs)): for j in range(0,len(cs)): kijs[(i,j)] = calculate_kij(cs[i],cs[j], kij_tune) else: for i in range(0,len(cs)): for j in range(0,len(cs)): kijs[(i,j)] = calculate_kij(cs[i],cs[j], 1.2) #Default tune 1.2 else: for i in range(0,len(cs)): for j in range(0,len(cs)): if kij_input.get((i,j),None): if abs(kij_input.get((i,j))) < 0.3: kijs[(i,j)] = kij_input[(i,j)] else: kijs[(i,j)] = 0 else: kijs[(i,j)] = kijs[(j,i)] def calculate_amix(y,T): """a(T) value for mixture""" amix = 0 #Placeholder for a_mixture values for i in range(0,len(cs)) : for j in range(0,len(cs)): kij = kijs[(i,j)] #kij value calculation ai = calculate_a(cs[i],T) #ai value aj = calculate_a(cs[j],T) #aj value amix += y[i]*y[j]*sqrt(ai * aj)*(1-kij) #Update a_mix return amix def calculate_bmix(y): """ b value for the mixture""" bmix = 0 for i in range(0, len(cs)): bmix += y[i]*calculate_b(cs[i]) return bmix #amix = calculate_amix(y) # amix calculated value #bmix = calculate_bmix(y) #bmix calculated value def calculate_A(a,T): """Calculates A value for component or mixture. a or amix""" A = a * P/(R**2)/(T**2) # A factor return A def calculate_B(b,T): """Calculates B value for a component or mixture.""" B = b * P/(R*T) # B factor return B def calculate_Z(A,B,T): A = calculate_A(calculate_amix(y,T),T) B = calculate_B(calculate_bmix(y),T) coefficients = [1, -1, A-B-B**2, -A*B] # PR Z-equation roots = np_roots(coefficients) for root in roots: if root > 0 and root < max(roots): min_root = root return min_root # Return smallest root for vapor phase calculation amix = calculate_amix(y,T) bmix = calculate_bmix(y) A = calculate_A(calculate_amix(y,T),T) B = calculate_B(calculate_bmix(y),T) Z = calculate_Z(A,B,T) # CALCULATE FUGACITY COEFFICIENT #Z = calculate_Z(A,B) def calculate_phi(i,T): """Vapor phase fugacity coefficient phi for a component. :param comp: Input the substance/chemical""" comp = cs[i] a = calculate_a(comp,T) b = calculate_b(comp) ak = 0 # ak sum value for inside function for k in range(0,len(cs)): ak += y[k]* (1-kijs[(k,i)])* sqrt(calculate_a(cs[k],T)*calculate_a(comp,T)) phi = b*(Z-1)/bmix - log(Z-B) - A/B*(2*ak/amix - b/bmix)*log((Z+B)/Z) return exp(phi) fug_phi = [] for i in range(0,len(cs)): fug_phi.append( calculate_phi(i,T) ) return fug_phi class Ideal(): """Ideal property method""" def phi_vapor(components, temp, pressure, fractions, kij_input = None, kij_tune=None): phi = [] for i in range(0, len(components)): phi.append(1) return phi class LeeKesler(): """Lee-Kesler methods""" def heat_properties(component, T, P): """T: temperature in K, P pressure in Pa Returns enthalpy, entropy, heat capacity""" #Parameters s: simple fluid, r: reference fluid b1_s = 0.1181193 b1_r = 0.2026579 b2_s = 0.265728 b2_r = 0.331511 b3_s = 0.154790 b3_r = 0.027655 b4_s = 0.030323 b4_r = 0.203488 c1_s = 0.0236744 c1_r = 0.0313385 c2_s = 0.0186984 c2_r = 0.0503618 c3_s = 0 c3_r = 0.016901 c4_s = 0.042724 c4_r = 0.041577 d1_s = 0.155488e-4 d1_r = 0.48736e-4 d2_s = 0.623689e-4 d2_r = 0.0740336e-4 beta_s = 0.65392 beta_r = 1.226 gama_s = 0.060167 gama_r = 0.03754 w_ref = 0.3978 R = 8.3145 Tc = float(component.CriticalTemperature) Pc = float(component.CriticalPressure) w = float(component.AcentricityFactor) Tr = T/Tc Pr = P/Pc def Vr_simple(): B = b1_s - b2_s/Tr - b3_s/Tr**2 - b4_s/Tr**3 C = c1_s - c2_s/Tr + c3_s/Tr**3 D = d1_s + d2_s/Tr Vr = 0.5*Tr/Pr # Initial guess for Vr value. Assume Z = 0.5 eps = 1e-4 # Tolerance counter = 0 while True: def f(Vr): func = 1 + B/Vr + C/Vr**2 + D/Vr**5 + c4_s/(Tr**3*(Vr**2))*(beta_s + gama_s/Vr**2)*exp(-gama_s/Vr**2) - Pr*Vr/Tr return func def df(Vr): dfunc = (f(Vr+0.001) - f(Vr-0.001))/0.002 return dfunc Vr_new = Vr - f(Vr)/df(Vr) if abs((Vr_new-Vr)/Vr) < eps: break counter += 1 Vr = Vr_new if counter > 50: raise Exception("Vr simple couldn't converged in 50 loops!") break return Vr_new def Vr_ref(): B = b1_r - b2_r/Tr - b3_r/Tr**2 - b4_r/Tr**3 C = c1_r - c2_r/Tr + c3_r/Tr**3 D = d1_r + d2_r/Tr Vr = 0.5*Tr/Pr # Initial guess for Vr value. Assume Z = 0.5 eps = 1e-4 # Tolerance counter = 0 while True: def f(Vr): func = 1 + B/Vr + C/Vr**2 + D/Vr**5 + c4_r/(Tr**3*(Vr**2))*(beta_r + gama_r/Vr**2)*exp(-gama_r/Vr**2) - Pr*Vr/Tr return func def df(Vr): dfunc = (f(Vr+0.001) - f(Vr-0.001))/0.002 return dfunc Vr_new = Vr - f(Vr)/df(Vr) if abs((Vr_new-Vr)/Vr) < eps: break counter += 1 Vr = Vr_new if counter > 100: raise Exception("Vr reference couldn't converged in 100 loops!") break return Vr_new Vr_s = Vr_simple() Vr_r = Vr_ref() Z_simple = Pr*Vr_s/Tr Z_reference = Pr*Vr_r/Tr E_simple = c4_s/(2*Tr**3*gama_s)*( beta_s +1 -exp(-gama_s/Vr_s**2)*(beta_s+1+gama_s/Vr_s**2) ) E_ref = c4_r/(2*Tr**3*gama_r)*( beta_r +1 -exp(-gama_r/Vr_r**2)*(beta_r+1+gama_r/Vr_r**2) ) H_simple = Tr*( Z_simple-1 -(b2_s+2*b3_s/Tr+3*b4_s/Tr**2)/Tr/Vr_s- (c2_s-3*c3_s/Tr**2)/2/Tr/Vr_s**2+ d2_s/5/Tr/Vr_s**2 +3*E_simple ) H_ref = Tr*( Z_reference-1 -(b2_r+2*b3_r/Tr+3*b4_r/Tr**2)/Tr/Vr_r- (c2_r-3*c3_r/Tr**2)/2/Tr/Vr_r**2+ d2_r/5/Tr/Vr_r**2 +3*E_ref ) H_departure = H_simple + w/w_ref *(H_ref - H_simple) S_simple = log(Z_simple)- (b2_s+b3_s/Tr**2+2*b4_s/Tr**3)/Vr_s -(c1_s-2*b4_s/Tr**3)/2/Vr_s**2+ d1_s/5/Vr_s**5 +2*E_simple -log(P/101325) S_ref = log(Z_reference)- (b2_r+b3_r/Tr**2+2*b4_r/Tr**3)/Vr_r -(c1_r-2*b4_r/Tr**3)/2/Vr_r**2+ d1_r/5/Vr_r**5 +2*E_ref -log(P/101325) S_departure = S_simple + w/w_ref *(S_ref - S_simple) Cv_simple = 2*(b3_s+3*b4_s/Tr)/Vr_s*Tr**2- 3*c3_s/Tr**3/Vr_s**2 -6*E_simple Cv_ref = 2*(b3_r+3*b4_r/Tr)/Vr_r*Tr**2- 3*c3_r/Tr**3/Vr_r**2 -6*E_ref Cv_departure = Cv_simple + w/w_ref*(Cv_ref - Cv_simple) Cp_departure = Cv_departure -1 return H_departure*R*Tc, S_departure*R, Cv_departure*R, Cp_departure*R

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py

Python

model/_patched_UNet_trainer.py

yasahi-hpc/AMRNet

5858d464bdfe409a5ab50889104768dda3c70508

[ "MIT" ]

null

model/_patched_UNet_trainer.py

yasahi-hpc/AMRNet

5858d464bdfe409a5ab50889104768dda3c70508

[ "MIT" ]

null

model/_patched_UNet_trainer.py

yasahi-hpc/AMRNet

5858d464bdfe409a5ab50889104768dda3c70508

[ "MIT" ]

null

from ._base_trainer import _BaseTrainer, MeasureMemory import pathlib import torch.multiprocessing as mp import torch from torch import nn import horovod.torch as hvd import numpy as np import xarray as xr import itertools from .flow_dataset import FlowDataset from .unet import UNet from .visualization import save_flows from .converter import save_as_netcdf class PatchedUNetTrainer(_BaseTrainer): def __init__(self, **kwargs): super().__init__(**kwargs) self.model_name = 'patched_UNet' def _initialize(self, **kwargs): # Horovod: Initialize library hvd.init() torch.manual_seed(self.seed) if self.device == 'cuda': # Horovod: Pin GPU to be used to process local rank (one GPU per process) torch.cuda.set_device(hvd.local_rank()) torch.cuda.manual_seed(self.seed) # Horovod: limit # of CPU threads to be used per worker. torch.set_num_threads(1) self.rank, self.size = hvd.rank(), hvd.size() self.master = self.rank == 0 super()._prepare_dirs() self.train_loader, self.val_loader, self.test_loader = super()._dataloaders() self.model0, self.model1, self.model2 = self._get_model(self.run_number) self.model0 = self.model0.to(self.device) self.model1 = self.model1.to(self.device) self.model2 = self.model2.to(self.device) ## Optimizers # By default, Adasum doesn't need scaling up leraning rate lr_scaler = hvd.size() if not self.use_adasum else 1 if self.device == 'cuda' and self.use_adasum and hvd.nccl_built(): lr_scaler = hvd.local_size() lr = self.lr * lr_scaler self.opt0 = torch.optim.Adam(self.model0.parameters(), lr=lr, betas=(self.beta_1, self.beta_2)) self.opt1 = torch.optim.Adam(self.model1.parameters(), lr=lr, betas=(self.beta_1, self.beta_2)) self.opt2 = torch.optim.Adam(self.model2.parameters(), lr=lr, betas=(self.beta_1, self.beta_2)) # Horovod: broadcast parameters & optimizer state. hvd.broadcast_parameters(self.model0.state_dict(), root_rank=0) hvd.broadcast_parameters(self.model1.state_dict(), root_rank=0) hvd.broadcast_parameters(self.model2.state_dict(), root_rank=0) hvd.broadcast_optimizer_state(self.opt0, root_rank=0) hvd.broadcast_optimizer_state(self.opt1, root_rank=0) hvd.broadcast_optimizer_state(self.opt2, root_rank=0) # Horovod: (optional) compression algorithm. compression = hvd.Compression.fp16 if self.fp16_allreduce else hvd.Compression.none # Horovod: wrap optimizer with DistributedOptimizer. self.opt0 = hvd.DistributedOptimizer(self.opt0, named_parameters=self.model0.named_parameters(), compression=compression, op=hvd.Adasum if self.use_adasum else hvd.Average, gradient_predivide_factor=self.gradient_predivide_factor) self.opt1 = hvd.DistributedOptimizer(self.opt1, named_parameters=self.model1.named_parameters(), compression=compression, op=hvd.Adasum if self.use_adasum else hvd.Average, gradient_predivide_factor=self.gradient_predivide_factor) self.opt2 = hvd.DistributedOptimizer(self.opt2, named_parameters=self.model2.named_parameters(), compression=compression, op=hvd.Adasum if self.use_adasum else hvd.Average, gradient_predivide_factor=self.gradient_predivide_factor) self.criterion = nn.L1Loss() if self.loss_type == 'mae_loss' else nn.MSELoss(reduction='mean') # Set normalization coefficients super()._set_normalization_coefs(shape=[1,1,1,-1,1,1]) # Memory measurement self.memory = MeasureMemory(device=self.device) # Synchronize if self.device == 'cuda': torch.cuda.synchronize() # Waits for everything to finish running def _initialize_for_inference(self, **kwargs): # Set output directory super()._prepare_dirs() self.train_loader, self.val_loader, self.test_loader = super()._dataloaders() self.model0, self.model1, self.model2 = self._get_model(self.run_number) self.model0 = self.model0.to(self.device) self.model1 = self.model1.to(self.device) self.model2 = self.model2.to(self.device) # Set normalization coefficients super()._set_normalization_coefs(shape=[1,1,1,-1,1,1]) # Memory measurement self.memory = MeasureMemory(device=self.device) # Synchronize if self.device == 'cuda': torch.cuda.synchronize() # Waits for everything to finish running def _get_model(self, run_number): model0 = UNet(dim=self.dim, padding_mode=self.padding_mode) model1 = UNet(dim=self.dim, padding_mode=self.padding_mode) model2 = UNet(dim=self.dim, padding_mode=self.padding_mode) if self.inference_mode: self.epoch_start = self.load_nth_state_file # To load the state file for inference rank = 0 model0.load_state_dict( torch.load(f'{self.state_file_dir}/model0_{rank}_{self.epoch_start:03}.pt') ) model1.load_state_dict( torch.load(f'{self.state_file_dir}/model1_{rank}_{self.epoch_start:03}.pt') ) model2.load_state_dict( torch.load(f'{self.state_file_dir}/model2_{rank}_{self.epoch_start:03}.pt') ) else: self.epoch_start = 0 if run_number > 0: if self.master: print(f'restart, {run_number}') # Load model states from previous run prev_run_number = run_number - 1 prev_result_filename = self.out_dir / f'flow_cnn_result_rank{self.rank}_rst{prev_run_number:03}.h5' if not prev_result_filename.is_file(): raise IOError(f'prev_result_filename') ds_prev = xr.open_dataset(prev_result_filename, engine='netcdf4') # To load the previous files epoch_end = ds_prev.attrs['epoch_end'] model0.load_state_dict( torch.load(f'{self.model_dir}/model0_{self.rank}_{epoch_end:03}.pt') ) model1.load_state_dict( torch.load(f'{self.model_dir}/model1_{self.rank}_{epoch_end:03}.pt') ) model2.load_state_dict( torch.load(f'{self.model_dir}/model2_{self.rank}_{epoch_end:03}.pt') ) # Next epoch should start from epoch_end + 1 self.epoch_start = int(epoch_end) + 1 return model0, model1, model2 def _save_models(self, total_epoch): torch.save(self.model0.state_dict(), f'{self.model_dir}/model0_{self.rank}_{total_epoch:03}.pt') torch.save(self.model1.state_dict(), f'{self.model_dir}/model1_{self.rank}_{total_epoch:03}.pt') torch.save(self.model2.state_dict(), f'{self.model_dir}/model2_{self.rank}_{total_epoch:03}.pt') ########### Main scripts def _train(self, data_loader, epoch): name = 'train' self.model0.train() self.model1.train() self.model2.train() log_loss = [0] * 3 nb_samples = len(data_loader.sampler) for i, (sdf, flows) in enumerate(data_loader): # Load data and meta-data sdf_Lv0, sdf_Lv1, sdf_Lv2 = sdf flows_Lv0, flows_Lv1, flows_Lv2 = flows _, patch_y_Lv1, patch_x_Lv1, *_ = sdf_Lv1.shape _, patch_y_Lv2, patch_x_Lv2, *_ = sdf_Lv2.shape # Number of sub patches in each level nb_patches_Lv2 = patch_y_Lv2 * patch_x_Lv2 nb_patches_Lv1 = patch_y_Lv1 * patch_x_Lv1 # Sub patch inside the Lv1 patch patch_y_Lv2 = patch_y_Lv2 // patch_y_Lv1 patch_x_Lv2 = patch_x_Lv2 // patch_x_Lv1 batch_len = len(sdf_Lv0) ## To device self.timer.start() sdf_Lv0, sdf_Lv1, sdf_Lv2 = sdf_Lv0.to(self.device), sdf_Lv1.to(self.device), sdf_Lv2.to(self.device) flows_Lv0, flows_Lv1, flows_Lv2 = flows_Lv0.to(self.device), flows_Lv1.to(self.device), flows_Lv2.to(self.device) self.timer.stop() self.elapsed_times[f'MemcpyH2D_{name}'].append(self.timer.elapsed_seconds()) # Keep sdfs on CPUs sdf_Lv0_cpu = sdf_Lv0.to('cpu') sdf_Lv1_cpu = sdf_Lv1.to('cpu') sdf_Lv2_cpu = sdf_Lv2.to('cpu') ## Normalization or standardization sdf_Lv0 = super()._preprocess(sdf_Lv0, self.sdf_Lv0_var0, self.sdf_Lv0_var1) sdf_Lv1 = super()._preprocess(sdf_Lv1, self.sdf_Lv1_var0, self.sdf_Lv1_var1) sdf_Lv2 = super()._preprocess(sdf_Lv2, self.sdf_Lv2_var0, self.sdf_Lv2_var1) flows_Lv0 = super()._preprocess(flows_Lv0, self.flows_Lv0_var0, self.flows_Lv0_var1) flows_Lv1 = super()._preprocess(flows_Lv1, self.flows_Lv1_var0, self.flows_Lv1_var1) flows_Lv2 = super()._preprocess(flows_Lv2, self.flows_Lv2_var0, self.flows_Lv2_var1) # Objectives: construct pred_flows_Lv0-Lv2 pred_flows_Lv0_ = torch.zeros_like(flows_Lv0, device='cpu') pred_flows_Lv1_ = torch.zeros_like(flows_Lv1, device='cpu') pred_flows_Lv2_ = torch.zeros_like(flows_Lv2, device='cpu') #### Train Lv0 self.timer.start() sdf_Lv0_ = sdf_Lv0[:, 0, 0] flows_Lv0_ = flows_Lv0[:, 0, 0] ### Update weights pred_flows_Lv0 = self.model0(sdf_Lv0_) loss_mae = self.criterion(pred_flows_Lv0, flows_Lv0_) self.opt0.zero_grad() loss_mae.backward() self.opt0.step() ### Log losses level = 0 log_loss[level] += loss_mae.item() / nb_samples ### Destandardization and save pred_flows_Lv0 = super()._postprocess(pred_flows_Lv0, self.flows_Lv0_var0, self.flows_Lv0_var1) pred_flows_Lv0_[:, 0, 0, :, :, :] = pred_flows_Lv0.detach().cpu() self.timer.stop() self.elapsed_times[f'{name}_Lv{level}'].append(self.timer.elapsed_seconds()) ### Train Lv1 for iy_Lv1, ix_Lv1 in itertools.product(range(patch_y_Lv1), range(patch_x_Lv1)): self.timer.start() sdf_Lv1_ = sdf_Lv1[:, iy_Lv1, ix_Lv1] flows_Lv1_ = flows_Lv1[:, iy_Lv1, ix_Lv1] ### Update weights pred_flows_Lv1 = self.model1(sdf_Lv1_) loss_mae = self.criterion(pred_flows_Lv1, flows_Lv1_) self.opt1.zero_grad() loss_mae.backward() self.opt1.step() ### Log losses level = 1 log_loss[level] += loss_mae.item() / (nb_samples * nb_patches_Lv1) pred_flows_Lv1 = super()._postprocess(pred_flows_Lv1, self.flows_Lv1_var0, self.flows_Lv1_var1) pred_flows_Lv1_[:, iy_Lv1, ix_Lv1, :, :, :] = pred_flows_Lv1.detach().cpu() self.timer.stop() self.elapsed_times[f'{name}_Lv{level}'].append(self.timer.elapsed_seconds()) ### Train Lv2 for iy_Lv2, ix_Lv2 in itertools.product(range(patch_y_Lv2), range(patch_x_Lv2)): self.timer.start() global_ix_Lv2 = ix_Lv2 + (ix_Lv1 * patch_x_Lv2) global_iy_Lv2 = iy_Lv2 + (iy_Lv1 * patch_y_Lv2) sdf_Lv2_ = sdf_Lv2[:, global_iy_Lv2, global_ix_Lv2] flows_Lv2_ = flows_Lv2[:, global_iy_Lv2, global_ix_Lv2] ### Update generator weights pred_flows_Lv2 = self.model2(sdf_Lv2_) loss_mae = self.criterion(pred_flows_Lv2, flows_Lv2_) self.opt2.zero_grad() ### Measure memory usage before backward self.memory.measure() if 'reserved' not in self.memory_consumption: self.memory_consumption['reserved'] = self.memory.reserved() self.memory_consumption['alloc'] = self.memory.alloc() loss_mae.backward() self.opt2.step() ### Log losses level = 2 log_loss[level] += loss_mae.item() / (nb_samples * nb_patches_Lv2) ### Destandardization and save pred_flows_Lv2 = super()._postprocess(pred_flows_Lv2, self.flows_Lv2_var0, self.flows_Lv2_var1) pred_flows_Lv2_[:, global_iy_Lv2, global_ix_Lv2, :, :, :] = pred_flows_Lv2.detach().cpu() self.timer.stop() self.elapsed_times[f'{name}_Lv{level}'].append(self.timer.elapsed_seconds()) # Saving figures if i == 0: self.timer.start() flows_Lv0 = super()._postprocess(flows_Lv0, self.flows_Lv0_var0, self.flows_Lv0_var1) flows_Lv1 = super()._postprocess(flows_Lv1, self.flows_Lv1_var0, self.flows_Lv1_var1) flows_Lv2 = super()._postprocess(flows_Lv2, self.flows_Lv2_var0, self.flows_Lv2_var1) ### Zeros inside objects pred_flows_Lv0_ = super()._zeros_inside_objects(pred_flows_Lv0_, sdf_Lv0_cpu) pred_flows_Lv1_ = super()._zeros_inside_objects(pred_flows_Lv1_, sdf_Lv1_cpu) pred_flows_Lv2_ = super()._zeros_inside_objects(pred_flows_Lv2_, sdf_Lv2_cpu) ### Lv0 figures level = 0 save_flows(flows_Lv0, name=name, img_dir = self.sub_img_dir, type_name = 'ref', level = level, epoch=epoch) save_flows(pred_flows_Lv0_, name=name, img_dir = self.sub_img_dir, type_name = 'pred', level = level, epoch=epoch) save_flows(pred_flows_Lv0_-flows_Lv0.cpu(), name=name, img_dir = self.sub_img_dir, type_name = 'error', level = level, epoch=epoch) ### Lv1 figures level = 1 save_flows(flows_Lv1, name=name, img_dir = self.sub_img_dir, type_name = 'ref', level = level, epoch=epoch) save_flows(pred_flows_Lv1_, name=name, img_dir = self.sub_img_dir, type_name = 'pred', level = level, epoch=epoch) save_flows(pred_flows_Lv1_-flows_Lv1.cpu(), name=name, img_dir = self.sub_img_dir, type_name = 'error', level = level, epoch=epoch) ### Lv2 figures level = 2 save_flows(flows_Lv2, name=name, img_dir = self.sub_img_dir, type_name = 'ref', level = level, epoch=epoch) save_flows(pred_flows_Lv2_, name=name, img_dir = self.sub_img_dir, type_name = 'pred', level = level, epoch=epoch) save_flows(pred_flows_Lv2_-flows_Lv2.cpu(), name=name, img_dir = self.sub_img_dir, type_name = 'error', level = level, epoch=epoch) self.timer.stop() self.elapsed_times[f'save_figs_{name}'].append(self.timer.elapsed_seconds()) # Horovod: average metric values across workers. losses = {} for level in range(3): losses[f'log_loss_{name}_{self.loss_type}_Lv{level}'] = log_loss[level] for key, value in losses.items(): loss = super()._metric_average(value, key) self.loss_dict[key].append(loss) def _validation(self, data_loader, epoch, name): self.model0.eval() self.model1.eval() self.model2.eval() log_loss = [0] * 3 nb_samples = len(data_loader.sampler) for i, (sdf, flows) in enumerate(data_loader): # Load data and meta-data sdf_Lv0, sdf_Lv1, sdf_Lv2 = sdf flows_Lv0, flows_Lv1, flows_Lv2 = flows _, patch_y_Lv1, patch_x_Lv1, *_ = sdf_Lv1.shape _, patch_y_Lv2, patch_x_Lv2, *_ = sdf_Lv2.shape # Number of sub patches in each level nb_patches_Lv2 = patch_y_Lv2 * patch_x_Lv2 nb_patches_Lv1 = patch_y_Lv1 * patch_x_Lv1 # Sub patch inside the Lv1 patch patch_y_Lv2 = patch_y_Lv2 // patch_y_Lv1 patch_x_Lv2 = patch_x_Lv2 // patch_x_Lv1 batch_len = len(sdf_Lv0) ## To device self.timer.start() sdf_Lv0, sdf_Lv1, sdf_Lv2 = sdf_Lv0.to(self.device), sdf_Lv1.to(self.device), sdf_Lv2.to(self.device) flows_Lv0, flows_Lv1, flows_Lv2 = flows_Lv0.to(self.device), flows_Lv1.to(self.device), flows_Lv2.to(self.device) self.timer.stop() self.elapsed_times[f'MemcpyH2D_{name}'].append(self.timer.elapsed_seconds()) # Keep sdfs on CPUs sdf_Lv0_cpu = sdf_Lv0.to('cpu') sdf_Lv1_cpu = sdf_Lv1.to('cpu') sdf_Lv2_cpu = sdf_Lv2.to('cpu') ## Normalization or standardization sdf_Lv0 = super()._preprocess(sdf_Lv0, self.sdf_Lv0_var0, self.sdf_Lv0_var1) sdf_Lv1 = super()._preprocess(sdf_Lv1, self.sdf_Lv1_var0, self.sdf_Lv1_var1) sdf_Lv2 = super()._preprocess(sdf_Lv2, self.sdf_Lv2_var0, self.sdf_Lv2_var1) flows_Lv0 = super()._preprocess(flows_Lv0, self.flows_Lv0_var0, self.flows_Lv0_var1) flows_Lv1 = super()._preprocess(flows_Lv1, self.flows_Lv1_var0, self.flows_Lv1_var1) flows_Lv2 = super()._preprocess(flows_Lv2, self.flows_Lv2_var0, self.flows_Lv2_var1) # Objectives: construct pred_flows_Lv0-Lv2 pred_flows_Lv0_ = torch.zeros_like(flows_Lv0, device='cpu') pred_flows_Lv1_ = torch.zeros_like(flows_Lv1, device='cpu') pred_flows_Lv2_ = torch.zeros_like(flows_Lv2, device='cpu') #### Train Lv0 self.timer.start() sdf_Lv0_ = sdf_Lv0[:, 0, 0] flows_Lv0_ = flows_Lv0[:, 0, 0] ### Update weights pred_flows_Lv0 = self.model0(sdf_Lv0_) loss_mae = self.criterion(pred_flows_Lv0, flows_Lv0_) ### Log losses level = 0 log_loss[level] += loss_mae.item() / nb_samples ### Destandardization and save pred_flows_Lv0 = super()._postprocess(pred_flows_Lv0, self.flows_Lv0_var0, self.flows_Lv0_var1) pred_flows_Lv0_[:, 0, 0, :, :, :] = pred_flows_Lv0.detach().cpu() self.timer.stop() self.elapsed_times[f'{name}_Lv{level}'].append(self.timer.elapsed_seconds()) ### Train Lv1 for iy_Lv1, ix_Lv1 in itertools.product(range(patch_y_Lv1), range(patch_x_Lv1)): self.timer.start() sdf_Lv1_ = sdf_Lv1[:, iy_Lv1, ix_Lv1] flows_Lv1_ = flows_Lv1[:, iy_Lv1, ix_Lv1] ### Update weights pred_flows_Lv1 = self.model1(sdf_Lv1_) loss_mae = self.criterion(pred_flows_Lv1, flows_Lv1_) ### Log losses level = 1 log_loss[level] += loss_mae.item() / (nb_samples * nb_patches_Lv1) pred_flows_Lv1 = super()._postprocess(pred_flows_Lv1, self.flows_Lv1_var0, self.flows_Lv1_var1) pred_flows_Lv1_[:, iy_Lv1, ix_Lv1, :, :, :] = pred_flows_Lv1.detach().cpu() self.timer.stop() self.elapsed_times[f'{name}_Lv{level}'].append(self.timer.elapsed_seconds()) ### Train Lv2 for iy_Lv2, ix_Lv2 in itertools.product(range(patch_y_Lv2), range(patch_x_Lv2)): self.timer.start() global_ix_Lv2 = ix_Lv2 + (ix_Lv1 * patch_x_Lv2) global_iy_Lv2 = iy_Lv2 + (iy_Lv1 * patch_y_Lv2) sdf_Lv2_ = sdf_Lv2[:, global_iy_Lv2, global_ix_Lv2] flows_Lv2_ = flows_Lv2[:, global_iy_Lv2, global_ix_Lv2] ### Update generator weights pred_flows_Lv2 = self.model2(sdf_Lv2_) loss_mae = self.criterion(pred_flows_Lv2, flows_Lv2_) ### Log losses level = 2 log_loss[level] += loss_mae.item() / (nb_samples * nb_patches_Lv2) ### Destandardization and save pred_flows_Lv2 = super()._postprocess(pred_flows_Lv2, self.flows_Lv2_var0, self.flows_Lv2_var1) pred_flows_Lv2_[:, global_iy_Lv2, global_ix_Lv2, :, :, :] = pred_flows_Lv2.detach().cpu() self.timer.stop() self.elapsed_times[f'{name}_Lv{level}'].append(self.timer.elapsed_seconds()) # Saving figures if i == 0: self.timer.start() flows_Lv0 = super()._postprocess(flows_Lv0, self.flows_Lv0_var0, self.flows_Lv0_var1) flows_Lv1 = super()._postprocess(flows_Lv1, self.flows_Lv1_var0, self.flows_Lv1_var1) flows_Lv2 = super()._postprocess(flows_Lv2, self.flows_Lv2_var0, self.flows_Lv2_var1) ### Zeros inside objects pred_flows_Lv0_ = super()._zeros_inside_objects(pred_flows_Lv0_, sdf_Lv0_cpu) pred_flows_Lv1_ = super()._zeros_inside_objects(pred_flows_Lv1_, sdf_Lv1_cpu) pred_flows_Lv2_ = super()._zeros_inside_objects(pred_flows_Lv2_, sdf_Lv2_cpu) ### Lv0 figures level = 0 save_flows(flows_Lv0, name=name, img_dir = self.sub_img_dir, type_name = 'ref', level = level, epoch=epoch) save_flows(pred_flows_Lv0_, name=name, img_dir = self.sub_img_dir, type_name = 'pred', level = level, epoch=epoch) save_flows(pred_flows_Lv0_-flows_Lv0.cpu(), name=name, img_dir = self.sub_img_dir, type_name = 'error', level = level, epoch=epoch) ### Lv1 figures level = 1 save_flows(flows_Lv1, name=name, img_dir = self.sub_img_dir, type_name = 'ref', level = level, epoch=epoch) save_flows(pred_flows_Lv1_, name=name, img_dir = self.sub_img_dir, type_name = 'pred', level = level, epoch=epoch) save_flows(pred_flows_Lv1_-flows_Lv1.cpu(), name=name, img_dir = self.sub_img_dir, type_name = 'error', level = level, epoch=epoch) ### Lv2 figures level = 2 save_flows(flows_Lv2, name=name, img_dir = self.sub_img_dir, type_name = 'ref', level = level, epoch=epoch) save_flows(pred_flows_Lv2_, name=name, img_dir = self.sub_img_dir, type_name = 'pred', level = level, epoch=epoch) save_flows(pred_flows_Lv2_-flows_Lv2.cpu(), name=name, img_dir = self.sub_img_dir, type_name = 'error', level = level, epoch=epoch) self.timer.stop() self.elapsed_times[f'save_figs_{name}'].append(self.timer.elapsed_seconds()) # Horovod: average metric values across workers. losses = {} for level in range(3): losses[f'log_loss_{name}_{self.loss_type}_Lv{level}'] = log_loss[level] for key, value in losses.items(): loss = super()._metric_average(value, key) self.loss_dict[key].append(loss) ### For inference def _infer(self): with torch.no_grad(): self._convert(data_loader=self.val_loader, name='validation') self._convert(data_loader=self.test_loader, name='test') def _convert(self, data_loader, name): self.model0.eval() self.model1.eval() self.model2.eval() nb_samples = len(data_loader.sampler) for indices, sdf, flows in data_loader: # Load data and meta-data sdf_Lv0, sdf_Lv1, sdf_Lv2 = sdf flows_Lv0, flows_Lv1, flows_Lv2 = flows _, patch_y_Lv1, patch_x_Lv1, *_ = sdf_Lv1.shape _, patch_y_Lv2, patch_x_Lv2, *_ = sdf_Lv2.shape # Number of sub patches in each level nb_patches_Lv2 = patch_y_Lv2 * patch_x_Lv2 nb_patches_Lv1 = patch_y_Lv1 * patch_x_Lv1 # Sub patch inside the Lv1 patch patch_y_Lv2 = patch_y_Lv2 // patch_y_Lv1 patch_x_Lv2 = patch_x_Lv2 // patch_x_Lv1 batch_len = len(sdf_Lv0) ## To device self.timer.start() sdf_Lv0, sdf_Lv1, sdf_Lv2 = sdf_Lv0.to(self.device), sdf_Lv1.to(self.device), sdf_Lv2.to(self.device) flows_Lv0, flows_Lv1, flows_Lv2 = flows_Lv0.to(self.device), flows_Lv1.to(self.device), flows_Lv2.to(self.device) self.timer.stop() self.elapsed_times[f'MemcpyH2D_{name}'].append(self.timer.elapsed_seconds()) # Keep sdfs on CPUs sdf_Lv0_cpu = sdf_Lv0.to('cpu') sdf_Lv1_cpu = sdf_Lv1.to('cpu') sdf_Lv2_cpu = sdf_Lv2.to('cpu') ## Normalization or standardization sdf_Lv0 = super()._preprocess(sdf_Lv0, self.sdf_Lv0_var0, self.sdf_Lv0_var1) sdf_Lv1 = super()._preprocess(sdf_Lv1, self.sdf_Lv1_var0, self.sdf_Lv1_var1) sdf_Lv2 = super()._preprocess(sdf_Lv2, self.sdf_Lv2_var0, self.sdf_Lv2_var1) flows_Lv0 = super()._preprocess(flows_Lv0, self.flows_Lv0_var0, self.flows_Lv0_var1) flows_Lv1 = super()._preprocess(flows_Lv1, self.flows_Lv1_var0, self.flows_Lv1_var1) flows_Lv2 = super()._preprocess(flows_Lv2, self.flows_Lv2_var0, self.flows_Lv2_var1) # Objectives: construct pred_flows_Lv0-Lv2 pred_flows_Lv0_ = torch.zeros_like(flows_Lv0, device='cpu') pred_flows_Lv1_ = torch.zeros_like(flows_Lv1, device='cpu') pred_flows_Lv2_ = torch.zeros_like(flows_Lv2, device='cpu') #### Train Lv0 self.timer.start() sdf_Lv0_ = sdf_Lv0[:, 0, 0] flows_Lv0_ = flows_Lv0[:, 0, 0] ### Update weights pred_flows_Lv0 = self.model0(sdf_Lv0_) level = 0 ### Destandardization and save pred_flows_Lv0 = super()._postprocess(pred_flows_Lv0, self.flows_Lv0_var0, self.flows_Lv0_var1) pred_flows_Lv0_[:, 0, 0, :, :, :] = pred_flows_Lv0.detach().cpu() self.timer.stop() self.elapsed_times[f'{name}_Lv{level}'].append(self.timer.elapsed_seconds()) ### Train Lv1 for iy_Lv1, ix_Lv1 in itertools.product(range(patch_y_Lv1), range(patch_x_Lv1)): self.timer.start() sdf_Lv1_ = sdf_Lv1[:, iy_Lv1, ix_Lv1] flows_Lv1_ = flows_Lv1[:, iy_Lv1, ix_Lv1] ### Update weights pred_flows_Lv1 = self.model1(sdf_Lv1_) ### Log losses level = 1 pred_flows_Lv1 = super()._postprocess(pred_flows_Lv1, self.flows_Lv1_var0, self.flows_Lv1_var1) pred_flows_Lv1_[:, iy_Lv1, ix_Lv1, :, :, :] = pred_flows_Lv1.detach().cpu() self.timer.stop() self.elapsed_times[f'{name}_Lv{level}'].append(self.timer.elapsed_seconds()) ### Train Lv2 for iy_Lv2, ix_Lv2 in itertools.product(range(patch_y_Lv2), range(patch_x_Lv2)): self.timer.start() global_ix_Lv2 = ix_Lv2 + (ix_Lv1 * patch_x_Lv2) global_iy_Lv2 = iy_Lv2 + (iy_Lv1 * patch_y_Lv2) sdf_Lv2_ = sdf_Lv2[:, global_iy_Lv2, global_ix_Lv2] flows_Lv2_ = flows_Lv2[:, global_iy_Lv2, global_ix_Lv2] ### Update generator weights pred_flows_Lv2 = self.model2(sdf_Lv2_) level = 2 ### Destandardization and save pred_flows_Lv2 = super()._postprocess(pred_flows_Lv2, self.flows_Lv2_var0, self.flows_Lv2_var1) pred_flows_Lv2_[:, global_iy_Lv2, global_ix_Lv2, :, :, :] = pred_flows_Lv2.detach().cpu() self.timer.stop() self.elapsed_times[f'{name}_Lv{level}'].append(self.timer.elapsed_seconds()) # Save the data in netcdf format self.timer.start() flows_Lv0 = super()._postprocess(flows_Lv0, self.flows_Lv0_var0, self.flows_Lv0_var1) flows_Lv1 = super()._postprocess(flows_Lv1, self.flows_Lv1_var0, self.flows_Lv1_var1) flows_Lv2 = super()._postprocess(flows_Lv2, self.flows_Lv2_var0, self.flows_Lv2_var1) ### Zeros inside objects pred_flows_Lv0_ = super()._zeros_inside_objects(pred_flows_Lv0_, sdf_Lv0_cpu) pred_flows_Lv1_ = super()._zeros_inside_objects(pred_flows_Lv1_, sdf_Lv1_cpu) pred_flows_Lv2_ = super()._zeros_inside_objects(pred_flows_Lv2_, sdf_Lv2_cpu) ### Lv0 figures level = 0 save_as_netcdf(sdf=sdf_Lv0_cpu, real_flows=flows_Lv0.cpu(), pred_flows=pred_flows_Lv0_, indices=indices, epoch=self.epoch_start, level=level, name=name, data_dir=self.inference_dir) ### Lv1 figures level = 1 save_as_netcdf(sdf=sdf_Lv1_cpu, real_flows=flows_Lv1.cpu(), pred_flows=pred_flows_Lv1_, indices=indices, epoch=self.epoch_start, level=level, name=name, data_dir=self.inference_dir) ### Lv2 figures level = 2 save_as_netcdf(sdf=sdf_Lv2_cpu, real_flows=flows_Lv2.cpu(), pred_flows=pred_flows_Lv2_, indices=indices, epoch=self.epoch_start, level=level, name=name, data_dir=self.inference_dir) self.timer.stop() self.elapsed_times[f'save_figs_{name}'].append(self.timer.elapsed_seconds())

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0.589779

3,901

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0.072546

0.053254

0.024386

0.015062

0.838563

0.822246

0.811428

0.802582

0.794872

0.775208

0

0.038261

0.307138

30,781

634

148

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0.746237

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null

0

1

0

1

0

null

0

7

4dcea62300ec3ae9b684f67e4ea5747b18cd9634

235

py

Python

instagram/views.py

RonnyLincoln/instagram

66383331f2ba0dffdcc80d09c2e10fc0dff6c0ac

[ "MIT" ]

null

instagram/views.py

RonnyLincoln/instagram

66383331f2ba0dffdcc80d09c2e10fc0dff6c0ac

[ "MIT" ]

null

instagram/views.py

RonnyLincoln/instagram

66383331f2ba0dffdcc80d09c2e10fc0dff6c0ac

[ "MIT" ]

null

from django.shortcuts import render def welcome(request): title = 'welcome' return render(request,'instagram/home.html', {'title': title}) def post_details(request): return render(request,'instagram/post_details.html')

29.375

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null

0

1

0

1

0

7

4dfbb5385cf8ad27ee3989010699f3e5ba45515a

2,824

py

Python

hdvw/models/wideresnet.py

shaoshitong/hdvw

fbb39da9ad8a765f74225eec7e9614978c740dde

[ "Apache-2.0" ]

2

2022-03-26T09:08:43.000Z

2022-03-26T09:09:27.000Z

hdvw/models/wideresnet.py

shaoshitong/hdvw

fbb39da9ad8a765f74225eec7e9614978c740dde

[ "Apache-2.0" ]

null

hdvw/models/wideresnet.py

shaoshitong/hdvw

fbb39da9ad8a765f74225eec7e9614978c740dde

[ "Apache-2.0" ]

null

import hdvw.models.resnet as resnet import hdvw.models.resnet_dnn_block as resnet_dnn import hdvw.models.resnet_mcdo_block as resnet_mcdo import hdvw.models.smoothing_block as smoothing # Deterministic def dnn_50(num_classes=10, stem=True, name="wideresnet_dnn_50", **block_kwargs): return resnet.ResNet(resnet_dnn.Bottleneck, [3, 4, 6, 3], width_per_group=64 * 2, num_classes=num_classes, stem=stem, name=name, **block_kwargs) def dnn_101(num_classes=10, stem=True, name="wideresnet_dnn_101", **block_kwargs): return resnet.ResNet(resnet_dnn.Bottleneck, [3, 4, 23, 3], width_per_group=64 * 2, num_classes=num_classes, stem=stem, name=name, **block_kwargs) # MC dropout def mcdo_50(num_classes=10, stem=True, name="wideresnet_mcdo_50", **block_kwargs): return resnet.ResNet(resnet_mcdo.Bottleneck, [3, 4, 6, 3], width_per_group=64 * 2, num_classes=num_classes, stem=stem, name=name, **block_kwargs) def mcdo_101(num_classes=10, stem=True, name="wideresnet_mcdo_101", **block_kwargs): return resnet.ResNet(resnet_mcdo.Bottleneck, [3, 4, 23, 3], width_per_group=64 * 2, num_classes=num_classes, stem=stem, name=name, **block_kwargs) # Deterministic + Smoothing def dnn_smooth_50(num_classes=10, stem=True, name="wideresnet_dnn_smoothing_50", **block_kwargs): return resnet.ResNet(resnet_dnn.Bottleneck, [3, 4, 6, 3], width_per_group=64 * 2, num_sblocks=[1, 1, 1, 1], num_classes=num_classes, stem=stem, name=name, **block_kwargs) def dnn_smooth_101(num_classes=10, stem=True, name="wideresnet_dnn_smoothing_101", **block_kwargs): return resnet.ResNet(resnet_dnn.Bottleneck, [3, 4, 23, 3], width_per_group=64 * 2, num_sblocks=[1, 1, 1, 1], num_classes=num_classes, stem=stem, name=name, **block_kwargs) # MC dropout + Smoothing def mcdo_smooth_50(num_classes=10, stem=True, name="wideresnet_mcdo_smoothing_50", **block_kwargs): return resnet.ResNet(resnet_mcdo.Bottleneck, [3, 4, 6, 3], width_per_group=64 * 2, num_sblocks=[1, 1, 1, 1], num_classes=num_classes, stem=stem, name=name, **block_kwargs) def mcdo_smooth_101(num_classes=10, stem=True, name="wideresnet_mcdo_smoothing_101", **block_kwargs): return resnet.ResNet(resnet_mcdo.Bottleneck, [3, 4, 23, 3], width_per_group=64 * 2, num_sblocks=[1, 1, 1, 1], num_classes=num_classes, stem=stem, name=name, **block_kwargs)

43.446154

101

0.623229

383

2,824

4.315927

0.096606

0.145191

0.058076

0.077435

0.863884

0.633999

0

0.063401

0.262748

2,824

64

102

44.125

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0.02585

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0.7

0

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0.040787

0

1

0.2

false

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0.1

0.2

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0

null

0

1

0

null

0

1

0

7

12b83307cc1a069a9f95697b428fb18f7fb253be

9,143

py

Python

test/network_attacks/test_synced_attack.py

Daveonwave/DHALSIM

c8739e45b87b1b1a9879e2694c94e3d6a0218b59

[ "MIT" ]

17

2021-02-03T15:48:03.000Z

2022-03-25T11:40:12.000Z

test/network_attacks/test_synced_attack.py

Daveonwave/DHALSIM

c8739e45b87b1b1a9879e2694c94e3d6a0218b59

[ "MIT" ]

3

2022-01-13T15:34:04.000Z

2022-02-01T15:18:42.000Z

test/network_attacks/test_synced_attack.py

Daveonwave/DHALSIM

c8739e45b87b1b1a9879e2694c94e3d6a0218b59

[ "MIT" ]

19

2021-01-13T07:15:45.000Z

2022-03-08T10:29:50.000Z

import sqlite3 import pytest from mock import call from dhalsim.network_attacks.synced_attack import SyncedAttack, DatabaseError from dhalsim.network_attacks.mitm_attack import MitmAttack @pytest.fixture def patched_attack(mocker): sleeper = mocker.patch("time.sleep", return_value=None) mocker.patch.object(SyncedAttack, "__init__", return_value=None) mocker.patch.object(MitmAttack, "__init__", return_value=None) mocker.patch.object(SyncedAttack, "DB_TRIES", 3) mocker.patch.object(SyncedAttack, "DB_SLEEP_TIME", 1.5) cur_mock = mocker.Mock() conn_mock = mocker.Mock() logger_mock = mocker.Mock() attacker = MitmAttack() attacker.cur = cur_mock attacker.conn = conn_mock attacker.logger = logger_mock attacker.intermediate_attack = { 'name': 'attack123' } return attacker, cur_mock, conn_mock, logger_mock, sleeper def test_get_master_clock_first_try(patched_attack): attack, cur_mock, conn_mock, logger_mock, sleeper = patched_attack cur_mock.fetchone.return_value = [5] assert attack.get_master_clock() == 5 cur_mock.execute.assert_called_once_with("SELECT time FROM master_time WHERE id IS 1") cur_mock.fetchone.assert_called_once() assert logger_mock.debug.call_count == 0 assert logger_mock.error.call_count == 0 sleeper.assert_not_called() def test_get_master_clock_fail_once(patched_attack): attack, cur_mock, conn_mock, logger_mock, sleeper = patched_attack cur_mock.execute.side_effect = [sqlite3.OperationalError(), None] cur_mock.fetchone.return_value = [5] assert attack.get_master_clock() == 5 cur_mock.execute.assert_has_calls([call("SELECT time FROM master_time WHERE id IS 1"), call("SELECT time FROM master_time WHERE id IS 1")]) assert cur_mock.execute.call_count == 2 cur_mock.fetchone.assert_called_once() assert logger_mock.debug.call_count == 1 assert logger_mock.error.call_count == 0 sleeper.assert_called_once_with(1.5) def test_get_master_clock_fail_all(patched_attack): attack, cur_mock, conn_mock, logger_mock, sleeper = patched_attack cur_mock.execute.side_effect = [sqlite3.OperationalError(), sqlite3.OperationalError(), sqlite3.OperationalError(), None] with pytest.raises(DatabaseError): attack.get_master_clock() cur_mock.execute.assert_has_calls([call("SELECT time FROM master_time WHERE id IS 1"), call("SELECT time FROM master_time WHERE id IS 1"), call("SELECT time FROM master_time WHERE id IS 1")]) assert cur_mock.execute.call_count == 3 cur_mock.fetchone.assert_not_called() assert logger_mock.debug.call_count == 3 assert logger_mock.error.call_count == 1 sleeper.assert_has_calls([call(1.5), call(1.5), call(1.5)]) assert sleeper.call_count == 3 def test_get_sync_first_try(patched_attack): attack, cur_mock, conn_mock, logger_mock, sleeper = patched_attack cur_mock.fetchone.return_value = [1] assert attack.get_sync() is True cur_mock.execute.assert_called_once_with("SELECT flag FROM sync WHERE name IS ?", ('attack123',)) cur_mock.fetchone.assert_called_once() assert logger_mock.debug.call_count == 0 assert logger_mock.error.call_count == 0 sleeper.assert_not_called() def test_get_sync_fail_once(patched_attack): attack, cur_mock, conn_mock, logger_mock, sleeper = patched_attack cur_mock.execute.side_effect = [sqlite3.OperationalError(), None] cur_mock.fetchone.return_value = [1] assert attack.get_sync() is True cur_mock.execute.assert_has_calls([call("SELECT flag FROM sync WHERE name IS ?", ('attack123',)), call("SELECT flag FROM sync WHERE name IS ?", ('attack123',))]) assert cur_mock.execute.call_count == 2 cur_mock.fetchone.assert_called_once() assert logger_mock.debug.call_count == 1 assert logger_mock.error.call_count == 0 sleeper.assert_called_once_with(1.5) def test_get_sync_fail_all(patched_attack): attack, cur_mock, conn_mock, logger_mock, sleeper = patched_attack cur_mock.execute.side_effect = [sqlite3.OperationalError(), sqlite3.OperationalError(), sqlite3.OperationalError(), None] with pytest.raises(DatabaseError): attack.get_sync() cur_mock.execute.assert_has_calls([call("SELECT flag FROM sync WHERE name IS ?", ('attack123',)), call("SELECT flag FROM sync WHERE name IS ?", ('attack123',)), call("SELECT flag FROM sync WHERE name IS ?", ('attack123',))]) assert cur_mock.execute.call_count == 3 cur_mock.fetchone.assert_not_called() assert logger_mock.debug.call_count == 3 assert logger_mock.error.call_count == 1 sleeper.assert_has_calls([call(1.5),call(1.5),call(1.5)]) assert sleeper.call_count == 3 def test_set_sync_first_try(patched_attack): attack, cur_mock, conn_mock, logger_mock, sleeper = patched_attack attack.set_sync(True) cur_mock.execute.assert_called_once_with("UPDATE sync SET flag=? WHERE name IS ?", (1, 'attack123',)) conn_mock.commit.assert_called_once() assert logger_mock.debug.call_count == 0 assert logger_mock.error.call_count == 0 sleeper.assert_not_called() def test_set_sync_fail_once(patched_attack): attack, cur_mock, conn_mock, logger_mock, sleeper = patched_attack cur_mock.execute.side_effect = [sqlite3.OperationalError(), None] attack.set_sync(True) cur_mock.execute.assert_has_calls([call("UPDATE sync SET flag=? WHERE name IS ?", (1, 'attack123',)), call("UPDATE sync SET flag=? WHERE name IS ?", (1, 'attack123',))]) assert cur_mock.execute.call_count == 2 conn_mock.commit.assert_called_once() assert logger_mock.debug.call_count == 1 assert logger_mock.error.call_count == 0 sleeper.assert_called_once_with(1.5) def test_set_sync_fail_all(patched_attack): attack, cur_mock, conn_mock, logger_mock, sleeper = patched_attack cur_mock.execute.side_effect = [sqlite3.OperationalError(), sqlite3.OperationalError(), sqlite3.OperationalError(), None] with pytest.raises(DatabaseError): attack.set_sync(True) cur_mock.execute.assert_has_calls([call("UPDATE sync SET flag=? WHERE name IS ?", (1, 'attack123',)), call("UPDATE sync SET flag=? WHERE name IS ?", (1, 'attack123',)), call("UPDATE sync SET flag=? WHERE name IS ?", (1, 'attack123',))]) assert cur_mock.execute.call_count == 3 conn_mock.commit.assert_not_called() assert logger_mock.debug.call_count == 3 assert logger_mock.error.call_count == 1 sleeper.assert_has_calls([call(1.5),call(1.5),call(1.5)]) assert sleeper.call_count == 3 def test_set_attack_flag_first_try(patched_attack): attack, cur_mock, conn_mock, logger_mock, sleeper = patched_attack attack.set_attack_flag(True) cur_mock.execute.assert_called_once_with("UPDATE attack SET flag=? WHERE name IS ?", (1, 'attack123',)) conn_mock.commit.assert_called_once() assert logger_mock.debug.call_count == 0 assert logger_mock.error.call_count == 0 sleeper.assert_not_called() def test_set_attack_flag_fail_once(patched_attack): attack, cur_mock, conn_mock, logger_mock, sleeper = patched_attack cur_mock.execute.side_effect = [sqlite3.OperationalError(), None] attack.set_attack_flag(True) cur_mock.execute.assert_has_calls([call("UPDATE attack SET flag=? WHERE name IS ?", (1, 'attack123',)), call("UPDATE attack SET flag=? WHERE name IS ?", (1, 'attack123',))]) assert cur_mock.execute.call_count == 2 conn_mock.commit.assert_called_once() assert logger_mock.debug.call_count == 1 assert logger_mock.error.call_count == 0 sleeper.assert_called_once_with(1.5) def test_set_attack_flag_fail_all(patched_attack): attack, cur_mock, conn_mock, logger_mock, sleeper = patched_attack cur_mock.execute.side_effect = [sqlite3.OperationalError(), sqlite3.OperationalError(), sqlite3.OperationalError(), None] with pytest.raises(DatabaseError): attack.set_attack_flag(True) cur_mock.execute.assert_has_calls([call("UPDATE attack SET flag=? WHERE name IS ?", (1, 'attack123',)), call("UPDATE attack SET flag=? WHERE name IS ?", (1, 'attack123',)), call("UPDATE attack SET flag=? WHERE name IS ?", (1, 'attack123',))]) assert cur_mock.execute.call_count == 3 conn_mock.commit.assert_not_called() assert logger_mock.debug.call_count == 3 assert logger_mock.error.call_count == 1 sleeper.assert_has_calls([call(1.5),call(1.5),call(1.5)]) assert sleeper.call_count == 3

34.243446

108

0.686099

1,229

9,143

4.808788

0.061839

0.062775

0.066328

0.032995

0.922673

0.911844

0.904738

0.877665

0.865821

0.841794

0

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Python

release/stubs/Autodesk/Revit/DB/Structure/StructuralSections.py

htlcnn/ironpython-stubs

780d829e2104b2789d5f4d6f32b0ec9f2930ca03

[ "MIT" ]

182

2017-06-27T02:26:15.000Z

2022-03-30T18:53:43.000Z

release/stubs/Autodesk/Revit/DB/Structure/StructuralSections.py

htlcnn/ironpython-stubs

780d829e2104b2789d5f4d6f32b0ec9f2930ca03

[ "MIT" ]

28

2017-06-27T13:38:23.000Z

2022-03-15T11:19:44.000Z

release/stubs/Autodesk/Revit/DB/Structure/StructuralSections.py

htlcnn/ironpython-stubs

780d829e2104b2789d5f4d6f32b0ec9f2930ca03

[ "MIT" ]

67

2017-06-28T09:43:59.000Z

2022-03-20T21:17:10.000Z

# encoding: utf-8 # module Autodesk.Revit.DB.Structure.StructuralSections calls itself StructuralSections # from RevitAPI, Version=17.0.0.0, Culture=neutral, PublicKeyToken=null # by generator 1.145 # no doc # no imports # no functions # classes class StructuralSection(object, IDisposable): """ The base class for StructuralSection specific classes, designed to provide common parameters and ability to differentiate between different structural section shapes. """ def Dispose(self): """ Dispose(self: StructuralSection) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass def __repr__(self, *args): #cannot find CLR method """ __repr__(self: object) -> str """ pass IsValidObject = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Specifies whether the .NET object represents a valid Revit entity. Get: IsValidObject(self: StructuralSection) -> bool """ SectionNameKey = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """A parameter in structural families which allows for family type identification. This will be used for data mapping during model exchange with another program, namely Advance Steel. Get: SectionNameKey(self: StructuralSection) -> str Set: SectionNameKey(self: StructuralSection) = value """ StructuralSectionShape = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """The type of structural section shape. Get: StructuralSectionShape(self: StructuralSection) -> StructuralSectionShape """ StructuralSectionShapeName = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """A human readable string representing the structural section shape. Get: StructuralSectionShapeName(self: StructuralSection) -> str """ class StructuralSectionRectangular(StructuralSection, IDisposable): """ Defines common set of parameters for structural section rectangular contour. """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass CentroidHorizontal = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Distance from centroid to the left extremites along horizontal axis. Get: CentroidHorizontal(self: StructuralSectionRectangular) -> float Set: CentroidHorizontal(self: StructuralSectionRectangular) = value """ CentroidVertical = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Distance from centroid to the upper extremites along vertical axis. Get: CentroidVertical(self: StructuralSectionRectangular) -> float Set: CentroidVertical(self: StructuralSectionRectangular) = value """ ElasticModulusStrongAxis = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Elastic section modulus about main strong axis for calculation of bending stresses. Get: ElasticModulusStrongAxis(self: StructuralSectionRectangular) -> float Set: ElasticModulusStrongAxis(self: StructuralSectionRectangular) = value """ ElasticModulusWeakAxis = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Elastic section modulus about main weak axis for calculation of bending stresses. Get: ElasticModulusWeakAxis(self: StructuralSectionRectangular) -> float Set: ElasticModulusWeakAxis(self: StructuralSectionRectangular) = value """ Height = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Section height, depth. Get: Height(self: StructuralSectionRectangular) -> float Set: Height(self: StructuralSectionRectangular) = value """ MomentOfInertiaStrongAxis = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Moment of Inertia about main strong axis (I). Get: MomentOfInertiaStrongAxis(self: StructuralSectionRectangular) -> float Set: MomentOfInertiaStrongAxis(self: StructuralSectionRectangular) = value """ MomentOfInertiaWeakAxis = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Moment of Inertia about main weak axis (I). Get: MomentOfInertiaWeakAxis(self: StructuralSectionRectangular) -> float Set: MomentOfInertiaWeakAxis(self: StructuralSectionRectangular) = value """ NameKey = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Name Key Get: NameKey(self: StructuralSectionRectangular) -> str Set: NameKey(self: StructuralSectionRectangular) = value """ NominalWeight = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Unit weight (not mass) per unit length, for self-weight calculation or quantity survey. Get: NominalWeight(self: StructuralSectionRectangular) -> float Set: NominalWeight(self: StructuralSectionRectangular) = value """ Perimeter = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Painting surface of the unit length. Get: Perimeter(self: StructuralSectionRectangular) -> float Set: Perimeter(self: StructuralSectionRectangular) = value """ PlasticModulusStrongAxis = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Plastic section modulus in bending about main strong axis (Z, Wpl) Get: PlasticModulusStrongAxis(self: StructuralSectionRectangular) -> float Set: PlasticModulusStrongAxis(self: StructuralSectionRectangular) = value """ PlasticModulusWeakAxis = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Plastic section modulus in bending about main weak axis. Get: PlasticModulusWeakAxis(self: StructuralSectionRectangular) -> float Set: PlasticModulusWeakAxis(self: StructuralSectionRectangular) = value """ PrincipalAxesAngle = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Rotation angle between the principal axes and cross section reference planes. Get: PrincipalAxesAngle(self: StructuralSectionRectangular) -> float Set: PrincipalAxesAngle(self: StructuralSectionRectangular) = value """ SectionArea = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Cross section area. Get: SectionArea(self: StructuralSectionRectangular) -> float Set: SectionArea(self: StructuralSectionRectangular) = value """ ShearAreaStrongAxis = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Shear area (reduced extreme shear stress coefficient) in the direction of strong axis (Wq). Get: ShearAreaStrongAxis(self: StructuralSectionRectangular) -> float Set: ShearAreaStrongAxis(self: StructuralSectionRectangular) = value """ ShearAreaWeakAxis = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Shear area (reduced extreme shear stress coefficient) in the direction of weak axis (Wq). Get: ShearAreaWeakAxis(self: StructuralSectionRectangular) -> float Set: ShearAreaWeakAxis(self: StructuralSectionRectangular) = value """ TorsionalModulus = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Section modulus for calculations of torsion stresses (Ct) Get: TorsionalModulus(self: StructuralSectionRectangular) -> float Set: TorsionalModulus(self: StructuralSectionRectangular) = value """ TorsionalMomentOfInertia = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Torsional Moment of inertia (J, IT, K), for calculation of torsional deformation Get: TorsionalMomentOfInertia(self: StructuralSectionRectangular) -> float Set: TorsionalMomentOfInertia(self: StructuralSectionRectangular) = value """ WarpingConstant = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Warping constant (Cw, Iomega, H) Get: WarpingConstant(self: StructuralSectionRectangular) -> float Set: WarpingConstant(self: StructuralSectionRectangular) = value """ Width = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Section width. Get: Width(self: StructuralSectionRectangular) -> float Set: Width(self: StructuralSectionRectangular) = value """ class StructuralSectionColdFormed(StructuralSectionRectangular, IDisposable): """ Defines parameters for Hot Formed structural section. """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass InnerFillet = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Inner Fillet - Corner fillet inner radius. Get: InnerFillet(self: StructuralSectionColdFormed) -> float Set: InnerFillet(self: StructuralSectionColdFormed) = value """ WallDesignThickness = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Represents wall design thickness of rectangle. Get: WallDesignThickness(self: StructuralSectionColdFormed) -> float Set: WallDesignThickness(self: StructuralSectionColdFormed) = value """ WallNominalThickness = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Represents wall nominal thickness of rectangle. Get: WallNominalThickness(self: StructuralSectionColdFormed) -> float Set: WallNominalThickness(self: StructuralSectionColdFormed) = value """ class StructuralSectionConcreteCross(StructuralSectionRectangular, IDisposable): """ Defines parameters for parameterized concrete cross structural section. StructuralSectionConcreteCross(width: float, height: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, cantileverLength: float, cantileverHeight: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis, cantileverLength, cantileverHeight): """ __new__(cls: type, width: float, height: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, cantileverLength: float, cantileverHeight: float) """ pass CantileverHeight = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Flange cantilever thickness. Get: CantileverHeight(self: StructuralSectionConcreteCross) -> float Set: CantileverHeight(self: StructuralSectionConcreteCross) = value """ CantileverLength = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Flange cantilever length. Get: CantileverLength(self: StructuralSectionConcreteCross) -> float Set: CantileverLength(self: StructuralSectionConcreteCross) = value """ class StructuralSectionConcreteRectangle(StructuralSectionRectangular, IDisposable): """ Defines parameters for parameterized concrete rectangle structural section. StructuralSectionConcreteRectangle(width: float, height: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis): """ __new__(cls: type, width: float, height: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float) """ pass class StructuralSectionConcreteRectangleCut(StructuralSectionRectangular, IDisposable): """ Defines parameters for parameterized concrete rectangle cut structural section. StructuralSectionConcreteRectangleCut(width: float, height: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, topCutWidth: float, topCutHeight: float, bottomCutWidth: float, bottomCutHeight: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis, topCutWidth, topCutHeight, bottomCutWidth, bottomCutHeight): """ __new__(cls: type, width: float, height: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, topCutWidth: float, topCutHeight: float, bottomCutWidth: float, bottomCutHeight: float) """ pass BottomCutHeight = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Section height left Cut. Get: BottomCutHeight(self: StructuralSectionConcreteRectangleCut) -> float Set: BottomCutHeight(self: StructuralSectionConcreteRectangleCut) = value """ BottomCutWidth = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Section width left Cut. Get: BottomCutWidth(self: StructuralSectionConcreteRectangleCut) -> float Set: BottomCutWidth(self: StructuralSectionConcreteRectangleCut) = value """ TopCutHeight = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Section height right Cut. Get: TopCutHeight(self: StructuralSectionConcreteRectangleCut) -> float Set: TopCutHeight(self: StructuralSectionConcreteRectangleCut) = value """ TopCutWidth = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Section width right Cut. Get: TopCutWidth(self: StructuralSectionConcreteRectangleCut) -> float Set: TopCutWidth(self: StructuralSectionConcreteRectangleCut) = value """ class StructuralSectionRound(StructuralSection, IDisposable): """ Defines common set of parameters for structural section round contour. """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass CentroidHorizontal = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Distance from centroid to the left extremites along horizontal axis. Get: CentroidHorizontal(self: StructuralSectionRound) -> float Set: CentroidHorizontal(self: StructuralSectionRound) = value """ CentroidVertical = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Distance from centroid to the upper extremites along vertical axis. Get: CentroidVertical(self: StructuralSectionRound) -> float Set: CentroidVertical(self: StructuralSectionRound) = value """ Diameter = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Pipe Diameter. Get: Diameter(self: StructuralSectionRound) -> float Set: Diameter(self: StructuralSectionRound) = value """ ElasticModulusStrongAxis = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Elastic section modulus about main strong axis for calculation of bending stresses. Get: ElasticModulusStrongAxis(self: StructuralSectionRound) -> float Set: ElasticModulusStrongAxis(self: StructuralSectionRound) = value """ ElasticModulusWeakAxis = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Elastic section modulus about main weak axis for calculation of bending stresses. Get: ElasticModulusWeakAxis(self: StructuralSectionRound) -> float Set: ElasticModulusWeakAxis(self: StructuralSectionRound) = value """ MomentOfInertiaStrongAxis = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Moment of Inertia about main strong axis (I). Get: MomentOfInertiaStrongAxis(self: StructuralSectionRound) -> float Set: MomentOfInertiaStrongAxis(self: StructuralSectionRound) = value """ MomentOfInertiaWeakAxis = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Moment of Inertia about main weak axis (I). Get: MomentOfInertiaWeakAxis(self: StructuralSectionRound) -> float Set: MomentOfInertiaWeakAxis(self: StructuralSectionRound) = value """ NameKey = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Name Key Get: NameKey(self: StructuralSectionRound) -> str Set: NameKey(self: StructuralSectionRound) = value """ NominalWeight = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Unit weight (not mass) per unit length, for self-weight calculation or quantity survey. Get: NominalWeight(self: StructuralSectionRound) -> float Set: NominalWeight(self: StructuralSectionRound) = value """ Perimeter = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Painting surface of the unit length. Get: Perimeter(self: StructuralSectionRound) -> float Set: Perimeter(self: StructuralSectionRound) = value """ PlasticModulusStrongAxis = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Plastic section modulus in bending about main strong axis (Z, Wpl) Get: PlasticModulusStrongAxis(self: StructuralSectionRound) -> float Set: PlasticModulusStrongAxis(self: StructuralSectionRound) = value """ PlasticModulusWeakAxis = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Plastic section modulus in bending about main weak axis. Get: PlasticModulusWeakAxis(self: StructuralSectionRound) -> float Set: PlasticModulusWeakAxis(self: StructuralSectionRound) = value """ PrincipalAxesAngle = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Rotation angle between the principal axes and cross section reference planes. Get: PrincipalAxesAngle(self: StructuralSectionRound) -> float Set: PrincipalAxesAngle(self: StructuralSectionRound) = value """ SectionArea = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Cross section area. Get: SectionArea(self: StructuralSectionRound) -> float Set: SectionArea(self: StructuralSectionRound) = value """ ShearAreaStrongAxis = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Shear area (reduced extreme shear stress coefficient) in the direction of strong axis (Wq). Get: ShearAreaStrongAxis(self: StructuralSectionRound) -> float Set: ShearAreaStrongAxis(self: StructuralSectionRound) = value """ ShearAreaWeakAxis = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Shear area (reduced extreme shear stress coefficient) in the direction of weak axis (Wq). Get: ShearAreaWeakAxis(self: StructuralSectionRound) -> float Set: ShearAreaWeakAxis(self: StructuralSectionRound) = value """ TorsionalModulus = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Section modulus for calculations of torsion stresses (Ct) Get: TorsionalModulus(self: StructuralSectionRound) -> float Set: TorsionalModulus(self: StructuralSectionRound) = value """ TorsionalMomentOfInertia = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Torsional Moment of inertia (J, IT, K), for calculation of torsional deformation Get: TorsionalMomentOfInertia(self: StructuralSectionRound) -> float Set: TorsionalMomentOfInertia(self: StructuralSectionRound) = value """ WarpingConstant = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Warping constant (Cw, Iomega, H) Get: WarpingConstant(self: StructuralSectionRound) -> float Set: WarpingConstant(self: StructuralSectionRound) = value """ class StructuralSectionConcreteRound(StructuralSectionRound, IDisposable): """ Creates a new instance of Structural Section Concrete Round shape with the associated set of parameters, used to attach to structural element. StructuralSectionConcreteRound(diameter: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, diameter, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis): """ __new__(cls: type, diameter: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float) """ pass class StructuralSectionConcreteT(StructuralSectionRectangular, IDisposable): """ Defines parameters for parameterized concrete T structural section. StructuralSectionConcreteT(width: float, height: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, cantileverLength: float, cantileverHeight: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis, cantileverLength, cantileverHeight): """ __new__(cls: type, width: float, height: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, cantileverLength: float, cantileverHeight: float) """ pass CantileverHeight = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Flange cantilever thickness. Get: CantileverHeight(self: StructuralSectionConcreteT) -> float Set: CantileverHeight(self: StructuralSectionConcreteT) = value """ CantileverLength = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Flange cantilever length. Get: CantileverLength(self: StructuralSectionConcreteT) -> float Set: CantileverLength(self: StructuralSectionConcreteT) = value """ class StructuralSectionHotRolled(StructuralSectionRectangular, IDisposable): """ Defines parameters for hot rolled structural sections. """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass FlangeThickness = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Flange Thickness. Get: FlangeThickness(self: StructuralSectionHotRolled) -> float Set: FlangeThickness(self: StructuralSectionHotRolled) = value """ WebFillet = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Web Fillet - fillet radius between web and flange. Get: WebFillet(self: StructuralSectionHotRolled) -> float Set: WebFillet(self: StructuralSectionHotRolled) = value """ WebThickness = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Web Thickness. Get: WebThickness(self: StructuralSectionHotRolled) -> float Set: WebThickness(self: StructuralSectionHotRolled) = value """ class StructuralSectionCParallelFlange(StructuralSectionHotRolled, IDisposable): """ Defines parameters for C-channel Parallel Flange structural section. StructuralSectionCParallelFlange(width: float, height: float, flangeThickness: float, webThickness: float, webFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, clearWebHeight: float, flangeToeOfFillet: float, webToeOfFillet: float, boltSpacing: float, boltDiameter: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, flangeThickness, webThickness, webFillet, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis, clearWebHeight, flangeToeOfFillet, webToeOfFillet, boltSpacing, boltDiameter): """ __new__(cls: type, width: float, height: float, flangeThickness: float, webThickness: float, webFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, clearWebHeight: float, flangeToeOfFillet: float, webToeOfFillet: float, boltSpacing: float, boltDiameter: float) """ pass BoltDiameter = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Maximum bolt hole diameter, in. (mm) Get: BoltDiameter(self: StructuralSectionCParallelFlange) -> float Set: BoltDiameter(self: StructuralSectionCParallelFlange) = value """ BoltSpacing = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Standard bolt spacing, in. (mm) Get: BoltSpacing(self: StructuralSectionCParallelFlange) -> float Set: BoltSpacing(self: StructuralSectionCParallelFlange) = value """ ClearWebHeight = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Detailing depth between the web toes of the fillets, in.(mm) Get: ClearWebHeight(self: StructuralSectionCParallelFlange) -> float Set: ClearWebHeight(self: StructuralSectionCParallelFlange) = value """ FlangeToeOfFillet = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Detailing distance from center of web to flange toe of fillet, in. (mm) Get: FlangeToeOfFillet(self: StructuralSectionCParallelFlange) -> float Set: FlangeToeOfFillet(self: StructuralSectionCParallelFlange) = value """ WebToeOfFillet = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Detailing distance from outer face of flange to web toe of fillet, in. (mm) Get: WebToeOfFillet(self: StructuralSectionCParallelFlange) -> float Set: WebToeOfFillet(self: StructuralSectionCParallelFlange) = value """ class StructuralSectionCProfile(StructuralSectionColdFormed, IDisposable): """ Defines parameters for C Profile structural section. StructuralSectionCProfile(width: float, height: float, wallNominalThickness: float, wallDesignThickness: float, innerFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, wallNominalThickness, wallDesignThickness, innerFillet, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis): """ __new__(cls: type, width: float, height: float, wallNominalThickness: float, wallDesignThickness: float, innerFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float) """ pass class StructuralSectionCProfileWithFold(StructuralSectionColdFormed, IDisposable): """ Defines parameters for C Profile with fold structural section. StructuralSectionCProfileWithFold(width: float, height: float, wallNominalThickness: float, wallDesignThickness: float, innerFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, lipLength: float, foldLength: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, wallNominalThickness, wallDesignThickness, innerFillet, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis, lipLength, foldLength): """ __new__(cls: type, width: float, height: float, wallNominalThickness: float, wallDesignThickness: float, innerFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, lipLength: float, foldLength: float) """ pass FoldLength = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Fold segment length. Get: FoldLength(self: StructuralSectionCProfileWithFold) -> float Set: FoldLength(self: StructuralSectionCProfileWithFold) = value """ LipLength = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Lip segment length. Get: LipLength(self: StructuralSectionCProfileWithFold) -> float Set: LipLength(self: StructuralSectionCProfileWithFold) = value """ class StructuralSectionCProfileWithLips(StructuralSectionColdFormed, IDisposable): """ Defines parameters for C Profile with lips structural section. StructuralSectionCProfileWithLips(width: float, height: float, wallNominalThickness: float, wallDesignThickness: float, innerFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, lipLength: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, wallNominalThickness, wallDesignThickness, innerFillet, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis, lipLength): """ __new__(cls: type, width: float, height: float, wallNominalThickness: float, wallDesignThickness: float, innerFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, lipLength: float) """ pass LipLength = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Lip segment length. Get: LipLength(self: StructuralSectionCProfileWithLips) -> float Set: LipLength(self: StructuralSectionCProfileWithLips) = value """ class StructuralSectionCSlopedFlange(StructuralSectionHotRolled, IDisposable): """ Defines parameters for C-channel Sloped Flange structural section. StructuralSectionCSlopedFlange(width: float, height: float, flangeThickness: float, webThickness: float, webFillet: float, flangeFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, clearWebHeight: float, webToeOfFillet: float, boltSpacing: float, boltDiameter: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, flangeThickness, webThickness, webFillet, flangeFillet, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis, clearWebHeight, webToeOfFillet, boltSpacing, boltDiameter): """ __new__(cls: type, width: float, height: float, flangeThickness: float, webThickness: float, webFillet: float, flangeFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, clearWebHeight: float, webToeOfFillet: float, boltSpacing: float, boltDiameter: float) """ pass BoltDiameter = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Maximum bolt hole diameter, in. (mm) Get: BoltDiameter(self: StructuralSectionCSlopedFlange) -> float Set: BoltDiameter(self: StructuralSectionCSlopedFlange) = value """ BoltSpacing = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Standard bolt spacing, in. (mm) Get: BoltSpacing(self: StructuralSectionCSlopedFlange) -> float Set: BoltSpacing(self: StructuralSectionCSlopedFlange) = value """ ClearWebHeight = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Detailing depth between the web toes of the fillets, in.(mm) Get: ClearWebHeight(self: StructuralSectionCSlopedFlange) -> float Set: ClearWebHeight(self: StructuralSectionCSlopedFlange) = value """ FlangeFillet = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Flange Fillet - fillet radius at the flange end. Get: FlangeFillet(self: StructuralSectionCSlopedFlange) -> float Set: FlangeFillet(self: StructuralSectionCSlopedFlange) = value """ WebToeOfFillet = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Detailing distance from outer face of flange to web toe of fillet, in. (mm) Get: WebToeOfFillet(self: StructuralSectionCSlopedFlange) -> float Set: WebToeOfFillet(self: StructuralSectionCSlopedFlange) = value """ class StructuralSectionIParallelFlange(StructuralSectionHotRolled, IDisposable): """ Defines parameters for I-shape Parallel Flange structural section. StructuralSectionIParallelFlange(width: float, height: float, flangeThickness: float, webThickness: float, webFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, clearWebHeight: float, flangeToeOfFillet: float, webToeOfFillet: float, boltSpacing: float, boltDiameter: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, flangeThickness, webThickness, webFillet, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis, clearWebHeight, flangeToeOfFillet, webToeOfFillet, boltSpacing, boltDiameter): """ __new__(cls: type, width: float, height: float, flangeThickness: float, webThickness: float, webFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, clearWebHeight: float, flangeToeOfFillet: float, webToeOfFillet: float, boltSpacing: float, boltDiameter: float) """ pass BoltDiameter = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Maximum bolt hole diameter, in. (mm) Get: BoltDiameter(self: StructuralSectionIParallelFlange) -> float Set: BoltDiameter(self: StructuralSectionIParallelFlange) = value """ BoltSpacing = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Standard bolt spacing, in. (mm) Get: BoltSpacing(self: StructuralSectionIParallelFlange) -> float Set: BoltSpacing(self: StructuralSectionIParallelFlange) = value """ ClearWebHeight = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Detailing depth between the web toes of the fillets, in.(mm) Get: ClearWebHeight(self: StructuralSectionIParallelFlange) -> float Set: ClearWebHeight(self: StructuralSectionIParallelFlange) = value """ FlangeToeOfFillet = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Detailing distance from center of web to flange toe of fillet, in. (mm) Get: FlangeToeOfFillet(self: StructuralSectionIParallelFlange) -> float Set: FlangeToeOfFillet(self: StructuralSectionIParallelFlange) = value """ WebToeOfFillet = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Detailing distance from outer face of flange to web toe of fillet, in. (mm) Get: WebToeOfFillet(self: StructuralSectionIParallelFlange) -> float Set: WebToeOfFillet(self: StructuralSectionIParallelFlange) = value """ class StructuralSectionISlopedFlange(StructuralSectionHotRolled, IDisposable): """ Defines parameters for I-shape Sloped Flange structural section. StructuralSectionISlopedFlange(width: float, height: float, flangeThickness: float, webThickness: float, webFillet: float, flangeFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, clearWebHeight: float, webToeOfFillet: float, boltSpacing: float, boltDiameter: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, flangeThickness, webThickness, webFillet, flangeFillet, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis, clearWebHeight, webToeOfFillet, boltSpacing, boltDiameter): """ __new__(cls: type, width: float, height: float, flangeThickness: float, webThickness: float, webFillet: float, flangeFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, clearWebHeight: float, webToeOfFillet: float, boltSpacing: float, boltDiameter: float) """ pass BoltDiameter = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Maximum bolt hole diameter, in. (mm) Get: BoltDiameter(self: StructuralSectionISlopedFlange) -> float Set: BoltDiameter(self: StructuralSectionISlopedFlange) = value """ BoltSpacing = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Standard bolt spacing, in. (mm) Get: BoltSpacing(self: StructuralSectionISlopedFlange) -> float Set: BoltSpacing(self: StructuralSectionISlopedFlange) = value """ ClearWebHeight = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Detailing depth between the web toes of the fillets, in.(mm) Get: ClearWebHeight(self: StructuralSectionISlopedFlange) -> float Set: ClearWebHeight(self: StructuralSectionISlopedFlange) = value """ FlangeFillet = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Flange Fillet - fillet radius at the flange end. Get: FlangeFillet(self: StructuralSectionISlopedFlange) -> float Set: FlangeFillet(self: StructuralSectionISlopedFlange) = value """ WebToeOfFillet = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Detailing distance from outer face of flange to web toe of fillet, in. (mm) Get: WebToeOfFillet(self: StructuralSectionISlopedFlange) -> float Set: WebToeOfFillet(self: StructuralSectionISlopedFlange) = value """ class StructuralSectionISplitParallelFlange(StructuralSectionHotRolled, IDisposable): """ Defines parameters for I-split Parallel Flange structural section. StructuralSectionISplitParallelFlange(width: float, height: float, flangeThickness: float, webThickness: float, webFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, clearWebHeight: float, flangeToeOfFillet: float, webToeOfFillet: float, boltSpacing: float, boltDiameter: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, flangeThickness, webThickness, webFillet, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis, clearWebHeight, flangeToeOfFillet, webToeOfFillet, boltSpacing, boltDiameter): """ __new__(cls: type, width: float, height: float, flangeThickness: float, webThickness: float, webFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, clearWebHeight: float, flangeToeOfFillet: float, webToeOfFillet: float, boltSpacing: float, boltDiameter: float) """ pass BoltDiameter = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Maximum bolt hole diameter, in. (mm) Get: BoltDiameter(self: StructuralSectionISplitParallelFlange) -> float Set: BoltDiameter(self: StructuralSectionISplitParallelFlange) = value """ BoltSpacing = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Standard bolt spacing, in. (mm) Get: BoltSpacing(self: StructuralSectionISplitParallelFlange) -> float Set: BoltSpacing(self: StructuralSectionISplitParallelFlange) = value """ ClearWebHeight = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Detailing depth between the web toes of the fillets, in.(mm) Get: ClearWebHeight(self: StructuralSectionISplitParallelFlange) -> float Set: ClearWebHeight(self: StructuralSectionISplitParallelFlange) = value """ FlangeToeOfFillet = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Detailing distance from center of web to flange toe of fillet, in. (mm) Get: FlangeToeOfFillet(self: StructuralSectionISplitParallelFlange) -> float Set: FlangeToeOfFillet(self: StructuralSectionISplitParallelFlange) = value """ WebToeOfFillet = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Detailing distance from outer face of flange to web toe of fillet, in. (mm) Get: WebToeOfFillet(self: StructuralSectionISplitParallelFlange) -> float Set: WebToeOfFillet(self: StructuralSectionISplitParallelFlange) = value """ class StructuralSectionISplitSlopedFlange(StructuralSectionHotRolled, IDisposable): """ Defines parameters for I-split Sloped Flange structural section. StructuralSectionISplitSlopedFlange(width: float, height: float, flangeThickness: float, webThickness: float, webFillet: float, flangeFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, clearWebHeight: float, webToeOfFillet: float, boltSpacing: float, boltDiameter: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, flangeThickness, webThickness, webFillet, flangeFillet, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis, clearWebHeight, webToeOfFillet, boltSpacing, boltDiameter): """ __new__(cls: type, width: float, height: float, flangeThickness: float, webThickness: float, webFillet: float, flangeFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, clearWebHeight: float, webToeOfFillet: float, boltSpacing: float, boltDiameter: float) """ pass BoltDiameter = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Maximum bolt hole diameter, in. (mm) Get: BoltDiameter(self: StructuralSectionISplitSlopedFlange) -> float Set: BoltDiameter(self: StructuralSectionISplitSlopedFlange) = value """ BoltSpacing = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Standard bolt spacing, in. (mm) Get: BoltSpacing(self: StructuralSectionISplitSlopedFlange) -> float Set: BoltSpacing(self: StructuralSectionISplitSlopedFlange) = value """ ClearWebHeight = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Detailing depth between the web toes of the fillets, in.(mm) Get: ClearWebHeight(self: StructuralSectionISplitSlopedFlange) -> float Set: ClearWebHeight(self: StructuralSectionISplitSlopedFlange) = value """ FlangeFillet = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Flange Fillet - fillet radius at the flange end. Get: FlangeFillet(self: StructuralSectionISplitSlopedFlange) -> float Set: FlangeFillet(self: StructuralSectionISplitSlopedFlange) = value """ WebToeOfFillet = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Detailing distance from outer face of flange to web toe of fillet, in. (mm) Get: WebToeOfFillet(self: StructuralSectionISplitSlopedFlange) -> float Set: WebToeOfFillet(self: StructuralSectionISplitSlopedFlange) = value """ class StructuralSectionIWelded(StructuralSectionRectangular, IDisposable): """ Defines parameters for I-shape Welded structural section. StructuralSectionIWelded(width: float, height: float, topFlangeThickness: float, topFlangeWidth: float, bottomFlangeThickness: float, bottomFlangeWidth: float, webThickness: float, webHeight: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, topFlangeThickness, topFlangeWidth, bottomFlangeThickness, bottomFlangeWidth, webThickness, webHeight, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis): """ __new__(cls: type, width: float, height: float, topFlangeThickness: float, topFlangeWidth: float, bottomFlangeThickness: float, bottomFlangeWidth: float, webThickness: float, webHeight: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float) """ pass BottomFlangeThickness = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Bottom Flange Thickness. Get: BottomFlangeThickness(self: StructuralSectionIWelded) -> float Set: BottomFlangeThickness(self: StructuralSectionIWelded) = value """ BottomFlangeWidth = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Bottom Flange Width. Get: BottomFlangeWidth(self: StructuralSectionIWelded) -> float Set: BottomFlangeWidth(self: StructuralSectionIWelded) = value """ TopFlangeThickness = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Top Flange Thickness. Get: TopFlangeThickness(self: StructuralSectionIWelded) -> float Set: TopFlangeThickness(self: StructuralSectionIWelded) = value """ TopFlangeWidth = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Top Flange Width. Get: TopFlangeWidth(self: StructuralSectionIWelded) -> float Set: TopFlangeWidth(self: StructuralSectionIWelded) = value """ WebHeight = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Web Height. Get: WebHeight(self: StructuralSectionIWelded) -> float Set: WebHeight(self: StructuralSectionIWelded) = value """ WebThickness = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Web Thickness. Get: WebThickness(self: StructuralSectionIWelded) -> float Set: WebThickness(self: StructuralSectionIWelded) = value """ class StructuralSectionIWideFlange(StructuralSectionHotRolled, IDisposable): """ Defines parameters for I-shape Wide Flange structural section. StructuralSectionIWideFlange(width: float, height: float, flangeThickness: float, webThickness: float, webFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, clearWebHeight: float, flangeToeOfFillet: float, webToeOfFillet: float, boltSpacing: float, boltSpacingTwoRows: float, boltSpacingBetweenRows: float, boltDiameter: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, flangeThickness, webThickness, webFillet, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis, clearWebHeight, flangeToeOfFillet, webToeOfFillet, boltSpacing, boltSpacingTwoRows, boltSpacingBetweenRows, boltDiameter): """ __new__(cls: type, width: float, height: float, flangeThickness: float, webThickness: float, webFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, clearWebHeight: float, flangeToeOfFillet: float, webToeOfFillet: float, boltSpacing: float, boltSpacingTwoRows: float, boltSpacingBetweenRows: float, boltDiameter: float) """ pass BoltDiameter = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Maximum bolt hole diameter, in. (mm) Get: BoltDiameter(self: StructuralSectionIWideFlange) -> float Set: BoltDiameter(self: StructuralSectionIWideFlange) = value """ BoltSpacing = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Standard bolt spacing, in. (mm) Get: BoltSpacing(self: StructuralSectionIWideFlange) -> float Set: BoltSpacing(self: StructuralSectionIWideFlange) = value """ BoltSpacingBetweenRows = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Standard bolt spacing between rows, in. (mm) Get: BoltSpacingBetweenRows(self: StructuralSectionIWideFlange) -> float Set: BoltSpacingBetweenRows(self: StructuralSectionIWideFlange) = value """ BoltSpacingTwoRows = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Standard bolt spacing for two rows , in. (mm) Get: BoltSpacingTwoRows(self: StructuralSectionIWideFlange) -> float Set: BoltSpacingTwoRows(self: StructuralSectionIWideFlange) = value """ ClearWebHeight = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Detailing depth between the web toes of the fillets, in.(mm) Get: ClearWebHeight(self: StructuralSectionIWideFlange) -> float Set: ClearWebHeight(self: StructuralSectionIWideFlange) = value """ FlangeToeOfFillet = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Detailing distance from center of web to flange toe of fillet, in. (mm) Get: FlangeToeOfFillet(self: StructuralSectionIWideFlange) -> float Set: FlangeToeOfFillet(self: StructuralSectionIWideFlange) = value """ WebToeOfFillet = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Detailing distance from outer face of flange to web toe of fillet, in. (mm) Get: WebToeOfFillet(self: StructuralSectionIWideFlange) -> float Set: WebToeOfFillet(self: StructuralSectionIWideFlange) = value """ class StructuralSectionLAngle(StructuralSectionHotRolled, IDisposable): """ Defines parameters for L-angle Flange structural section. StructuralSectionLAngle(width: float, height: float, flangeThickness: float, webThickness: float, webFillet: float, flangeFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, boltSpacing1LongerFlange: float, boltSpacing2LongerFlange: float, boltSpacingShorterFlange: float, boltDiameterLongerFlange: float, boltDiameterShorterFlange: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, flangeThickness, webThickness, webFillet, flangeFillet, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis, boltSpacing1LongerFlange, boltSpacing2LongerFlange, boltSpacingShorterFlange, boltDiameterLongerFlange, boltDiameterShorterFlange): """ __new__(cls: type, width: float, height: float, flangeThickness: float, webThickness: float, webFillet: float, flangeFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, boltSpacing1LongerFlange: float, boltSpacing2LongerFlange: float, boltSpacingShorterFlange: float, boltDiameterLongerFlange: float, boltDiameterShorterFlange: float) """ pass BoltDiameterLongerFlange = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Maximum bolt hole diameter in the longer flange, in. (mm) Get: BoltDiameterLongerFlange(self: StructuralSectionLAngle) -> float Set: BoltDiameterLongerFlange(self: StructuralSectionLAngle) = value """ BoltDiameterShorterFlange = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Maximum bolt hole diameter in the shorter flange, in. (mm) Get: BoltDiameterShorterFlange(self: StructuralSectionLAngle) -> float Set: BoltDiameterShorterFlange(self: StructuralSectionLAngle) = value """ BoltSpacing1LongerFlange = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Standard bolt spacing first row in the longer flange, in. (mm) Get: BoltSpacing1LongerFlange(self: StructuralSectionLAngle) -> float Set: BoltSpacing1LongerFlange(self: StructuralSectionLAngle) = value """ BoltSpacing2LongerFlange = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Standard bolt spacing second row in the longer flange, in. (mm) Get: BoltSpacing2LongerFlange(self: StructuralSectionLAngle) -> float Set: BoltSpacing2LongerFlange(self: StructuralSectionLAngle) = value """ BoltSpacingShorterFlange = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Standard bolt spacing in the shorter flange, in. (mm) Get: BoltSpacingShorterFlange(self: StructuralSectionLAngle) -> float Set: BoltSpacingShorterFlange(self: StructuralSectionLAngle) = value """ FlangeFillet = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Flange Fillet - fillet radius at the flange end. Get: FlangeFillet(self: StructuralSectionLAngle) -> float Set: FlangeFillet(self: StructuralSectionLAngle) = value """ class StructuralSectionLProfile(StructuralSectionColdFormed, IDisposable): """ Defines parameters for L profile structural section. StructuralSectionLProfile(width: float, height: float, wallNominalThickness: float, wallDesignThickness: float, innerFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, wallNominalThickness, wallDesignThickness, innerFillet, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis): """ __new__(cls: type, width: float, height: float, wallNominalThickness: float, wallDesignThickness: float, innerFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float) """ pass class StructuralSectionLProfileWithLips(StructuralSectionColdFormed, IDisposable): """ Defines parameters for L Profile with lips structural section. StructuralSectionLProfileWithLips(width: float, height: float, wallNominalThickness: float, wallDesignThickness: float, innerFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, lipLength: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, wallNominalThickness, wallDesignThickness, innerFillet, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis, lipLength): """ __new__(cls: type, width: float, height: float, wallNominalThickness: float, wallDesignThickness: float, innerFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, lipLength: float) """ pass LipLength = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Lip segment length. Get: LipLength(self: StructuralSectionLProfileWithLips) -> float Set: LipLength(self: StructuralSectionLProfileWithLips) = value """ class StructuralSectionPipeStandard(StructuralSectionRound, IDisposable): """ Defines parameters for pipes also known as RoundHSS or HollowStructuralSection (HSS). StructuralSectionPipeStandard(diameter: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, wallNominalThickness: float, wallDesignThickness: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, diameter, centroidHorizontal, centroidVertical, principalAxesAngle, wallNominalThickness, wallDesignThickness, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis): """ __new__(cls: type, diameter: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, wallNominalThickness: float, wallDesignThickness: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float) """ pass WallDesignThickness = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Represents wall design thickness of rectangle. Get: WallDesignThickness(self: StructuralSectionPipeStandard) -> float Set: WallDesignThickness(self: StructuralSectionPipeStandard) = value """ WallNominalThickness = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Represents wall nominal thickness of rectangle. Get: WallNominalThickness(self: StructuralSectionPipeStandard) -> float Set: WallNominalThickness(self: StructuralSectionPipeStandard) = value """ class StructuralSectionRectangleHSS(StructuralSectionRectangular, IDisposable): """ Defines parameters for parameterized rectangle HSS structural section. StructuralSectionRectangleHSS(width: float, height: float, wallNominalThickness: float, wallDesignThickness: float, innerFillet: float, outerFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, wallNominalThickness, wallDesignThickness, innerFillet, outerFillet, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis): """ __new__(cls: type, width: float, height: float, wallNominalThickness: float, wallDesignThickness: float, innerFillet: float, outerFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float) """ pass InnerFillet = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Inner Fillet - Corner fillet inner radius. Get: InnerFillet(self: StructuralSectionRectangleHSS) -> float Set: InnerFillet(self: StructuralSectionRectangleHSS) = value """ OuterFillet = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Outer Fillet - Corner fillet outer radius. Get: OuterFillet(self: StructuralSectionRectangleHSS) -> float Set: OuterFillet(self: StructuralSectionRectangleHSS) = value """ WallDesignThickness = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Represents wall design thickness of rectangle. Get: WallDesignThickness(self: StructuralSectionRectangleHSS) -> float Set: WallDesignThickness(self: StructuralSectionRectangleHSS) = value """ WallNominalThickness = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Represents wall nominal thickness of rectangle. Get: WallNominalThickness(self: StructuralSectionRectangleHSS) -> float Set: WallNominalThickness(self: StructuralSectionRectangleHSS) = value """ class StructuralSectionRectangleParameterized(StructuralSectionRectangular, IDisposable): """ Defines parameters for parameterized rectangle structural section. StructuralSectionRectangleParameterized(width: float, height: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis): """ __new__(cls: type, width: float, height: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float) """ pass class StructuralSectionRectangularBar(StructuralSectionRectangular, IDisposable): """ Defines parameters for Rectangular Bar structural section. StructuralSectionRectangularBar(width: float, height: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis): """ __new__(cls: type, width: float, height: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float) """ pass class StructuralSectionRoundBar(StructuralSectionRound, IDisposable): """ Defines parameters for Round Bar structural section. StructuralSectionRoundBar(diameter: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, diameter, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis): """ __new__(cls: type, diameter: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float) """ pass class StructuralSectionRoundHSS(StructuralSectionRound, IDisposable): """ Defines parameters for pipes known as Round HSS (HollowStructuralSection). StructuralSectionRoundHSS(diameter: float, wallNominalThickness: float, wallDesignThickness: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, diameter, wallNominalThickness, wallDesignThickness, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis): """ __new__(cls: type, diameter: float, wallNominalThickness: float, wallDesignThickness: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float) """ pass WallDesignThickness = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Represents wall design thickness of pipe. Get: WallDesignThickness(self: StructuralSectionRoundHSS) -> float Set: WallDesignThickness(self: StructuralSectionRoundHSS) = value """ WallNominalThickness = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Represents wall nominal thickness of pipe. Get: WallNominalThickness(self: StructuralSectionRoundHSS) -> float Set: WallNominalThickness(self: StructuralSectionRoundHSS) = value """ class StructuralSectionShape(Enum, IComparable, IFormattable, IConvertible): """ Shapes for structural sections. enum StructuralSectionShape, values: ConcreteCross (34), ConcreteRectangle (31), ConcreteRectangleCut (32), ConcreteRound (35), ConcreteT (33), CParallelFlange (9), CProfile (20), CProfileWithFold (22), CProfileWithLips (21), CSlopedFlange (10), Invalid (-1), IParallelFlange (6), ISlopedFlange (7), ISplitParallelFlange (17), ISplitSlopedFlange (18), IWelded (16), IWideFlange (8), LAngle (11), LProfile (23), LProfileWithLips (24), NotDefined (0), PipeStandard (5), RectangleHSS (14), RectangleParameterized (2), RectangularBar (12), RoundBar (13), RoundHSS (15), SigmaProfile (27), SigmaProfileWithFold (29), SigmaProfileWithLips (28), StructuralTees (19), UserDefined (30), ZProfile (25), ZProfileWithLips (26) """ def __eq__(self, *args): #cannot find CLR method """ x.__eq__(y) <==> x==yx.__eq__(y) <==> x==yx.__eq__(y) <==> x==y """ pass def __format__(self, *args): #cannot find CLR method """ __format__(formattable: IFormattable, format: str) -> str """ pass def __ge__(self, *args): #cannot find CLR method pass def __gt__(self, *args): #cannot find CLR method pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass def __le__(self, *args): #cannot find CLR method pass def __lt__(self, *args): #cannot find CLR method pass def __ne__(self, *args): #cannot find CLR method pass def __reduce_ex__(self, *args): #cannot find CLR method pass def __str__(self, *args): #cannot find CLR method pass ConcreteCross = None ConcreteRectangle = None ConcreteRectangleCut = None ConcreteRound = None ConcreteT = None CParallelFlange = None CProfile = None CProfileWithFold = None CProfileWithLips = None CSlopedFlange = None Invalid = None IParallelFlange = None ISlopedFlange = None ISplitParallelFlange = None ISplitSlopedFlange = None IWelded = None IWideFlange = None LAngle = None LProfile = None LProfileWithLips = None NotDefined = None PipeStandard = None RectangleHSS = None RectangleParameterized = None RectangularBar = None RoundBar = None RoundHSS = None SigmaProfile = None SigmaProfileWithFold = None SigmaProfileWithLips = None StructuralTees = None UserDefined = None value__ = None ZProfile = None ZProfileWithLips = None class StructuralSectionSigmaProfile(StructuralSectionColdFormed, IDisposable): """ Defines parameters for Sigma Profile structural section. StructuralSectionSigmaProfile(width: float, height: float, wallNominalThickness: float, wallDesignThickness: float, innerFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, bendWidth: float, middleBendLength: float, topBendLength: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, wallNominalThickness, wallDesignThickness, innerFillet, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis, bendWidth, middleBendLength, topBendLength): """ __new__(cls: type, width: float, height: float, wallNominalThickness: float, wallDesignThickness: float, innerFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, bendWidth: float, middleBendLength: float, topBendLength: float) """ pass BendWidth = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Bend segment width. Get: BendWidth(self: StructuralSectionSigmaProfile) -> float Set: BendWidth(self: StructuralSectionSigmaProfile) = value """ MiddleBendLength = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Middle Bend segment length. Get: MiddleBendLength(self: StructuralSectionSigmaProfile) -> float Set: MiddleBendLength(self: StructuralSectionSigmaProfile) = value """ TopBendLength = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Top Bend segment length. Get: TopBendLength(self: StructuralSectionSigmaProfile) -> float Set: TopBendLength(self: StructuralSectionSigmaProfile) = value """ class StructuralSectionSigmaProfileWithFold(StructuralSectionColdFormed, IDisposable): """ Defines parameters for structural Sigma profile section with fold. StructuralSectionSigmaProfileWithFold(width: float, height: float, wallNominalThickness: float, wallDesignThickness: float, innerFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, foldWidth: float, lipLength: float, bendWidth: float, middleBendLength: float, topBendLength: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, wallNominalThickness, wallDesignThickness, innerFillet, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis, foldWidth, lipLength, bendWidth, middleBendLength, topBendLength): """ __new__(cls: type, width: float, height: float, wallNominalThickness: float, wallDesignThickness: float, innerFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, foldWidth: float, lipLength: float, bendWidth: float, middleBendLength: float, topBendLength: float) """ pass BendWidth = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Bend segment width. Get: BendWidth(self: StructuralSectionSigmaProfileWithFold) -> float Set: BendWidth(self: StructuralSectionSigmaProfileWithFold) = value """ FoldWidth = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Fold segment width. Get: FoldWidth(self: StructuralSectionSigmaProfileWithFold) -> float Set: FoldWidth(self: StructuralSectionSigmaProfileWithFold) = value """ LipLength = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Lip segment length. Get: LipLength(self: StructuralSectionSigmaProfileWithFold) -> float Set: LipLength(self: StructuralSectionSigmaProfileWithFold) = value """ MiddleBendLength = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Middle Bend segment length. Get: MiddleBendLength(self: StructuralSectionSigmaProfileWithFold) -> float Set: MiddleBendLength(self: StructuralSectionSigmaProfileWithFold) = value """ TopBendLength = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Top Bend segment length. Get: TopBendLength(self: StructuralSectionSigmaProfileWithFold) -> float Set: TopBendLength(self: StructuralSectionSigmaProfileWithFold) = value """ class StructuralSectionSigmaProfileWithLips(StructuralSectionColdFormed, IDisposable): """ Defines parameters for structural Sigma Profile section with lips. StructuralSectionSigmaProfileWithLips(width: float, height: float, wallNominalThickness: float, wallDesignThickness: float, innerFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, lipLength: float, bendWidth: float, middleBendLength: float, topBendLength: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, wallNominalThickness, wallDesignThickness, innerFillet, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis, lipLength, bendWidth, middleBendLength, topBendLength): """ __new__(cls: type, width: float, height: float, wallNominalThickness: float, wallDesignThickness: float, innerFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, lipLength: float, bendWidth: float, middleBendLength: float, topBendLength: float) """ pass BendWidth = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Bend segment width. Get: BendWidth(self: StructuralSectionSigmaProfileWithLips) -> float Set: BendWidth(self: StructuralSectionSigmaProfileWithLips) = value """ LipLength = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Lip segment length. Get: LipLength(self: StructuralSectionSigmaProfileWithLips) -> float Set: LipLength(self: StructuralSectionSigmaProfileWithLips) = value """ MiddleBendLength = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Middle Bend segment length. Get: MiddleBendLength(self: StructuralSectionSigmaProfileWithLips) -> float Set: MiddleBendLength(self: StructuralSectionSigmaProfileWithLips) = value """ TopBendLength = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Top Bend segment length. Get: TopBendLength(self: StructuralSectionSigmaProfileWithLips) -> float Set: TopBendLength(self: StructuralSectionSigmaProfileWithLips) = value """ class StructuralSectionStructuralTees(StructuralSectionHotRolled, IDisposable): """ Defines parameters for Structural Tees structural section. StructuralSectionStructuralTees(width: float, height: float, flangeThickness: float, webThickness: float, webFillet: float, flangeFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, boltSpacing: float, boltSpacingWeb: float, boltDiameter: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, flangeThickness, webThickness, webFillet, flangeFillet, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis, boltSpacing, boltSpacingWeb, boltDiameter): """ __new__(cls: type, width: float, height: float, flangeThickness: float, webThickness: float, webFillet: float, flangeFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, boltSpacing: float, boltSpacingWeb: float, boltDiameter: float) """ pass BoltDiameter = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Maximum bolt hole diameter, in. (mm) Get: BoltDiameter(self: StructuralSectionStructuralTees) -> float Set: BoltDiameter(self: StructuralSectionStructuralTees) = value """ BoltSpacing = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Standard bolt spacing in the flange, in. (mm) Get: BoltSpacing(self: StructuralSectionStructuralTees) -> float Set: BoltSpacing(self: StructuralSectionStructuralTees) = value """ BoltSpacingWeb = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Standard bolt spacing in the web, in. (mm) Get: BoltSpacingWeb(self: StructuralSectionStructuralTees) -> float Set: BoltSpacingWeb(self: StructuralSectionStructuralTees) = value """ FlangeFillet = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Flange Fillet - fillet radius at the flange end. Get: FlangeFillet(self: StructuralSectionStructuralTees) -> float Set: FlangeFillet(self: StructuralSectionStructuralTees) = value """ class StructuralSectionUserDefined(StructuralSectionRectangular, IDisposable): """ Defines parameters for parameterized user defined structural section. StructuralSectionUserDefined(width: float, height: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis): """ __new__(cls: type, width: float, height: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float) """ pass class StructuralSectionUtils(object): """ This class provides utilities related to Structural Section Properties. """ @staticmethod def GetStructuralSection(document, familySymbolId): """ GetStructuralSection(document: Document, familySymbolId: ElementId) -> StructuralSection Return structural section from element. document: The document that owns the family for beam, brace or structural column. familySymbolId: ID of family symbol for beam, brace or structural column. Returns: Structural section returned if element have one. For elements that do not have structural section or can not have structural section ll will be returned. """ pass @staticmethod def SetStructuralSection(document, familySymbolId, structuralSection): """ SetStructuralSection(document: Document, familySymbolId: ElementId, structuralSection: StructuralSection) -> bool Set structural section in element. document: The document that owns the family for beam, brace or structural column. familySymbolId: ID of family symbol for beam, brace or structural column. structuralSection: Structural section with values that will be set. Returns: True is returned when requested shape with values was properly set. Return false otherwise. """ pass __all__ = [ 'GetStructuralSection', 'SetStructuralSection', ] class StructuralSectionZProfile(StructuralSectionColdFormed, IDisposable): """ Defines parameters for Z Profile structural section. StructuralSectionZProfile(width: float, height: float, wallNominalThickness: float, wallDesignThickness: float, innerFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, bottomFlangeLength: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, wallNominalThickness, wallDesignThickness, innerFillet, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis, bottomFlangeLength): """ __new__(cls: type, width: float, height: float, wallNominalThickness: float, wallDesignThickness: float, innerFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, bottomFlangeLength: float) """ pass BottomFlangeLength = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Bottom Flange segment length. Get: BottomFlangeLength(self: StructuralSectionZProfile) -> float Set: BottomFlangeLength(self: StructuralSectionZProfile) = value """ class StructuralSectionZProfileWithLips(StructuralSectionColdFormed, IDisposable): """ Defines parameters for Z Profile with lips structural section. StructuralSectionZProfileWithLips(width: float, height: float, wallNominalThickness: float, wallDesignThickness: float, innerFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, bottomFlangeLength: float, lipLength: float) """ def Dispose(self): """ Dispose(self: StructuralSection, A_0: bool) """ pass def ReleaseUnmanagedResources(self, *args): #cannot find CLR method """ ReleaseUnmanagedResources(self: StructuralSection, disposing: bool) """ pass def __enter__(self, *args): #cannot find CLR method """ __enter__(self: IDisposable) -> object """ pass def __exit__(self, *args): #cannot find CLR method """ __exit__(self: IDisposable, exc_type: object, exc_value: object, exc_back: object) """ pass def __init__(self, *args): #cannot find CLR method """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod # known case of __new__ def __new__(self, width, height, wallNominalThickness, wallDesignThickness, innerFillet, centroidHorizontal, centroidVertical, principalAxesAngle, sectionArea, perimeter, nominalWeight, momentOfInertiaStrongAxis, momentOfInertiaWeakAxis, elasticModulusStrongAxis, elasticModulusWeakAxis, plasticModulusStrongAxis, plasticModulusWeakAxis, torsionalMomentOfInertia, torsionalModulus, warpingConstant, shearAreaStrongAxis, shearAreaWeakAxis, bottomFlangeLength, lipLength): """ __new__(cls: type, width: float, height: float, wallNominalThickness: float, wallDesignThickness: float, innerFillet: float, centroidHorizontal: float, centroidVertical: float, principalAxesAngle: float, sectionArea: float, perimeter: float, nominalWeight: float, momentOfInertiaStrongAxis: float, momentOfInertiaWeakAxis: float, elasticModulusStrongAxis: float, elasticModulusWeakAxis: float, plasticModulusStrongAxis: float, plasticModulusWeakAxis: float, torsionalMomentOfInertia: float, torsionalModulus: float, warpingConstant: float, shearAreaStrongAxis: float, shearAreaWeakAxis: float, bottomFlangeLength: float, lipLength: float) """ pass BottomFlangeLength = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Bottom Flange segment length. Get: BottomFlangeLength(self: StructuralSectionZProfileWithLips) -> float Set: BottomFlangeLength(self: StructuralSectionZProfileWithLips) = value """ LipLength = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Lip segment length. Get: LipLength(self: StructuralSectionZProfileWithLips) -> float Set: LipLength(self: StructuralSectionZProfileWithLips) = value """

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423b37e0b869960832816f8c62ae3d4b6f08f270

41

py

Python

example/abuse_ch/__init__.py

mlodic/cbfeeds

bb8b1f30d447b66a088ffbda8d04323989953bac

[ "MIT" ]

null

example/abuse_ch/__init__.py

mlodic/cbfeeds

bb8b1f30d447b66a088ffbda8d04323989953bac

[ "MIT" ]

null

example/abuse_ch/__init__.py

mlodic/cbfeeds

bb8b1f30d447b66a088ffbda8d04323989953bac

[ "MIT" ]

null

from generate_abusech_feed import create

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429a0462d3e8fe36b34cf12d30c21f3ad88a5a07

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py

Python

soda/core/tests/data_source/test_table_filter.py

sodadata/soda-core

d9b98d4f6f3364c5eb8210e8288c4c861bcf8f8a

[ "Apache-2.0" ]

4

2022-03-23T02:43:42.000Z

2022-03-31T15:20:54.000Z

soda/core/tests/data_source/test_table_filter.py

sodadata/soda-core

d9b98d4f6f3364c5eb8210e8288c4c861bcf8f8a

[ "Apache-2.0" ]

543

2022-03-22T09:02:17.000Z

2022-03-31T16:29:41.000Z

soda/core/tests/data_source/test_table_filter.py

sodadata/soda-core

d9b98d4f6f3364c5eb8210e8288c4c861bcf8f8a

[ "Apache-2.0" ]

1

2022-03-27T03:37:55.000Z

from tests.helpers.common_test_tables import customers_test_table from tests.helpers.data_source_fixture import DataSourceFixture def test_filter_on_date(data_source_fixture: DataSourceFixture): table_name = data_source_fixture.ensure_test_table(customers_test_table) scan = data_source_fixture.create_test_scan() scan.add_variables({"DATE": "2020-06-23"}) scan.add_sodacl_yaml_str( f""" filter {table_name} [daily]: where: date = DATE '${{DATE}}' checks for {table_name}: - row_count = 10 - missing_count(cat) = 5 checks for {table_name} [daily]: - row_count = 6 - missing_count(cat) = 2 """ ) scan.execute() scan.assert_all_checks_pass() scan = data_source_fixture.create_test_scan() scan.add_variables({"date": "2020-06-24"}) scan.add_sodacl_yaml_str( f""" filter {table_name} [daily]: where: date = DATE '${{date}}' checks for {table_name}: - row_count = 10 - missing_count(cat) = 5 checks for {table_name} [daily]: - row_count = 4 - missing_count(cat) = 3 """ ) scan.execute() scan.assert_all_checks_pass() def test_table_filter_on_timestamp(data_source_fixture: DataSourceFixture): table_name = data_source_fixture.ensure_test_table(customers_test_table) scan = data_source_fixture.create_test_scan() scan.add_variables({"ts_start": "2020-06-23 00:00:00", "ts_end": "2020-06-24 00:00:00"}) scan.add_sodacl_yaml_str( f""" filter {table_name} [daily]: where: TIMESTAMP '${{ts_start}}' <= ts AND ts < TIMESTAMP '${{ts_end}}' checks for {table_name}: - row_count = 10 - missing_count(cat) = 5 checks for {table_name} [daily]: - row_count = 6 - missing_count(cat) = 2 """ ) scan.execute() scan.assert_all_checks_pass() scan = data_source_fixture.create_test_scan() scan.add_variables({"ts_start": "2020-06-24 00:00:00", "ts_end": "2020-06-25 00:00:00"}) scan.add_sodacl_yaml_str( f""" filter {table_name} [daily]: where: TIMESTAMP '${{ts_start}}' <= ts AND ts < TIMESTAMP '${{ts_end}}' checks for {table_name}: - row_count = 10 - missing_count(cat) = 5 checks for {table_name} [daily]: - row_count = 4 - missing_count(cat) = 3 """ ) scan.execute() scan.assert_all_checks_pass()

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null

0

1

0

8

42a38600ee806d589156437f4dee1faa69c443fc

13,125

py

Python

tests/layers/test_transduction_layers.py

pmichel31415/dynet-nn

7e780c4dcf928cdff5f2e52210409d2775ca7796

[ "MIT" ]

1

2019-09-04T13:19:47.000Z

tests/layers/test_transduction_layers.py

pmichel31415/dynn

7e780c4dcf928cdff5f2e52210409d2775ca7796

[ "MIT" ]

null

tests/layers/test_transduction_layers.py

pmichel31415/dynn

7e780c4dcf928cdff5f2e52210409d2775ca7796

[ "MIT" ]

null

#!/usr/bin/env python3 from itertools import product import unittest from unittest import TestCase import numpy as np import dynet as dy from dynn.layers import dense_layers, recurrent_layers, transduction_layers class TestTransduction(TestCase): def setUp(self): self.pc = dy.ParameterCollection() self.do = 10 self.di = 20 self.bz = 6 def test_feedforward_layer_transduction(self): # Simple dense layer dense = dense_layers.Affine(self.pc, self.di, self.do) # Create transduction layer tranductor = transduction_layers.Transduction(dense) # Initialize computation graph dy.renew_cg() # Create inputs seq = [dy.random_uniform(self.di, 0, i, self.bz) for i in range(10)] # Initialize tranductor tranductor.init(test=False, update=True) # Run tranductor outputs = tranductor(seq) # Try forward/backward z = dy.mean_batches(dy.sum_elems(dy.esum(outputs))) z.forward() z.backward() class TestSequenceMaskingLayer(TestCase): def setUp(self): self.pc = dy.ParameterCollection() self.do = 10 self.di = 20 self.bz = 6 self.lengths = [1, 2, 3, 4, 5, 6] self.mask_value = 42.0 def test_left_padded(self): # Create transduction layer tranductor = transduction_layers.SequenceMaskingLayer( mask_value=self.mask_value) # Initialize computation graph dy.renew_cg() # Create inputs seq = [dy.random_uniform(self.di, 0, i, self.bz) for i in range(6)] # Initialize tranductor tranductor.init(test=False, update=True) # Run tranductor outputs = tranductor(seq, self.lengths) # Try forward/backward z = dy.mean_batches(dy.sum_elems(dy.esum(outputs))) z.forward() z.backward(full=True) # Check value for idx, length in enumerate(self.lengths): for step in range(length, len(seq)): values = outputs[step].npvalue()[:, idx] for value in values: self.assertAlmostEquals(value, self.mask_value, 10) # Check gradients for idx, length in enumerate(self.lengths): for step in range(length, len(seq)): grad = seq[step].gradient()[:, idx] self.assertAlmostEquals(np.abs(grad).sum(), 0, 10) def test_right_padded(self): # Create transduction layer tranductor = transduction_layers.SequenceMaskingLayer( mask_value=self.mask_value, left_padded=False) # Initialize computation graph dy.renew_cg() # Create inputs seq = [dy.random_uniform(self.di, 0, i, self.bz) for i in range(6)] # Initialize tranductor tranductor.init(test=False, update=True) # Run tranductor outputs = tranductor(seq, self.lengths) # Try forward/backward z = dy.mean_batches(dy.sum_elems(dy.esum(outputs))) z.forward() z.backward(full=True) # Check dimensions for x, state in zip(seq, outputs): for s in state: self.assertEqual(x.dim()[1], s.dim()[1]) # Check value for idx, length in enumerate(self.lengths): for step in range(len(seq)-length): values = outputs[step].npvalue()[:, idx] for value in values: self.assertAlmostEquals(value, self.mask_value, 10) value = outputs[0].npvalue()[0, 0] self.assertAlmostEquals(value, self.mask_value, 10) # Check gradients for idx, length in enumerate(self.lengths): for step in range(len(seq)-length): grad = seq[step].gradient()[:, idx] self.assertAlmostEquals(np.abs(grad).sum(), 0, 10) class TestUnidirectional(TestCase): def setUp(self): self.pc = dy.ParameterCollection() self.dh = 10 self.di = 20 self.bz = 6 self.dropout = 0.1 self.parameters_matrix = product( [None, [1, 2, 3, 4, 5, 6], [4, 5, 6, 6, 1, 2]], # lengths [False, True], # backward [True, False], # left_padded ) def _test_recurrent_layer_unidirectional_transduction( self, layer, dummy_input, lengths, backward, left_padded, ): # Create transduction layer tranductor = transduction_layers.Unidirectional(layer) # Initialize computation graph dy.renew_cg() # Create inputs seq = [ dy.inputTensor(dummy_input, batched=True) + i for i in range(10) ] # Initialize tranductor tranductor.init(test=False, update=True) # Run tranductor states = tranductor( seq, lengths=lengths, backward=backward, left_padded=left_padded ) # Try forward/backward z = dy.mean_batches( dy.esum([dy.sum_elems(state[0]) for state in states])) z.forward() z.backward(full=True) # check masking if lengths is not None: for idx, length in enumerate(lengths): if left_padded: masked_steps = range(length, len(seq)) else: masked_steps = range(len(seq)-length) # Values for step in masked_steps: for state in states[step]: values = state.npvalue()[:, idx] for value in values: self.assertAlmostEquals(value, 0, 10) # Check gradients grad = seq[step].gradient()[:, idx] self.assertAlmostEquals(np.abs(grad).sum(), 0, 10) def test_elman_rnn(self): # Create lstm layer lstm = recurrent_layers.ElmanRNN( self.pc, self.di, self.dh, dropout=self.dropout ) for lengths, backward, left_padded in self.parameters_matrix: print(f"Testing with:") print(f"- lengths=: {lengths}") print(f"- backward=: {backward}") print(f"- left_padded=: {left_padded}") self._test_recurrent_layer_unidirectional_transduction( lstm, np.random.rand(self.di, self.bz), lengths, backward, left_padded ) def test_lstm(self): # Create lstm layer lstm = recurrent_layers.LSTM( self.pc, self.di, self.dh, dropout_x=self.dropout, dropout_h=self.dropout, ) for lengths, backward, left_padded in self.parameters_matrix: print(f"Testing with:") print(f"- lengths=: {lengths}") print(f"- backward=: {backward}") print(f"- left_padded=: {left_padded}") self._test_recurrent_layer_unidirectional_transduction( lstm, np.random.rand(self.di, self.bz), lengths, backward, left_padded ) def test_stacked_lstm_rnn(self): # Create lstm layer cells = [ recurrent_layers.LSTM( self.pc, self.di, self.dh-1, dropout_x=self.dropout, dropout_h=self.dropout, ), recurrent_layers.ElmanRNN( self.pc, self.dh-1, self.dh, dropout=self.dropout, ), ] stacked_cell = recurrent_layers.StackedRecurrentCells(*cells) for lengths, backward, left_padded in self.parameters_matrix: print(f"Testing with:") print(f"- lengths=: {lengths}") print(f"- backward=: {backward}") print(f"- left_padded=: {left_padded}") self._test_recurrent_layer_unidirectional_transduction( stacked_cell, np.random.rand(self.di, self.bz), lengths, backward, left_padded ) class TestBidirectional(TestCase): def setUp(self): self.pc = dy.ParameterCollection() self.dh = 10 self.di = 20 self.bz = 6 self.dropout = 0.1 self.parameters_matrix = product( [None, [1, 2, 3, 4, 5, 6], [4, 5, 6, 6, 1, 2]], # lengths [True, False], # left_padded ) def _test_recurrent_layer_bidirectional_transduction( self, fwd_layer, bwd_layer, dummy_input, lengths, left_padded, ): # Create transduction layer tranductor = transduction_layers.Bidirectional( fwd_layer, bwd_layer) # Initialize computation graph dy.renew_cg() # Create inputs seq = [ dy.inputTensor(dummy_input, batched=True) + i for i in range(10) ] # Initialize tranductor tranductor.init(test=False, update=True) # Run tranductor fwd_states, bwd_states = tranductor( seq, lengths=lengths, left_padded=left_padded ) # Try forward/backward fwd_z = dy.mean_batches( dy.esum([dy.sum_elems(state[0]) for state in fwd_states]) ) bwd_z = dy.mean_batches( dy.esum([dy.sum_elems(state[0]) for state in bwd_states]) ) z = fwd_z + bwd_z z.forward() z.backward() # Check dimensions for x, state in zip(seq, fwd_states): for s in state: self.assertEqual(x.dim()[1], s.dim()[1]) for x, state in zip(seq, bwd_states): for s in state: self.assertEqual(x.dim()[1], s.dim()[1]) # check masking if lengths is not None: for idx, length in enumerate(lengths): if left_padded: masked_steps = range(length, len(seq)) else: masked_steps = range(len(seq)-length) # Values for step in masked_steps: for state in fwd_states[step] + bwd_states[step]: values = state.npvalue()[:, idx] for value in values: self.assertAlmostEquals(value, 0, 10) # Check gradients grad = seq[step].gradient()[:, idx] self.assertAlmostEquals(np.abs(grad).sum(), 0, 10) def test_bi_elman_rnn(self): # Create rnn layers fwd_rnn = recurrent_layers.ElmanRNN( self.pc, self.di, self.dh, dropout=self.dropout ) bwd_rnn = recurrent_layers.ElmanRNN( self.pc, self.di, self.dh, dropout=self.dropout ) for lengths, left_padded in self.parameters_matrix: print(f"Testing with:") print(f"- lengths=: {lengths}") print(f"- left_padded=: {left_padded}") self._test_recurrent_layer_bidirectional_transduction( fwd_rnn, bwd_rnn, np.random.rand(self.di, self.bz), lengths, left_padded ) def test_bi_lstm(self): # Create lstm layers fwd_lstm = recurrent_layers.LSTM( self.pc, self.di, self.dh, dropout_x=self.dropout, dropout_h=self.dropout, ) bwd_lstm = recurrent_layers.LSTM( self.pc, self.di, self.dh, dropout_x=self.dropout, dropout_h=self.dropout, ) for lengths, left_padded in self.parameters_matrix: print(f"Testing with:") print(f"- lengths=: {lengths}") print(f"- left_padded=: {left_padded}") self._test_recurrent_layer_bidirectional_transduction( fwd_lstm, bwd_lstm, np.random.rand(self.di, self.bz), lengths, left_padded ) def test_rnn_lstm(self): # Create rnn/lstm layers fwd_lstm = recurrent_layers.LSTM( self.pc, self.di, self.dh, dropout_x=self.dropout, dropout_h=self.dropout, ) bwd_rnn = recurrent_layers.ElmanRNN( self.pc, self.di, self.dh, dropout=self.dropout ) for lengths, left_padded in self.parameters_matrix: print(f"Testing with:") print(f"- lengths=: {lengths}") print(f"- left_padded=: {left_padded}") self._test_recurrent_layer_bidirectional_transduction( fwd_lstm, bwd_rnn, np.random.rand(self.di, self.bz), lengths, left_padded ) if __name__ == '__main__': unittest.main()

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null

0

7

6707e10e14055acf426e79346321585557ecf92e

7,135

py

Python

vlpi/model/FCLayers.py

daverblair/vlpi

e1a02f69bf04b43542438ae099af8c7388cd5362

[ "MIT" ]

2

2020-10-30T17:29:27.000Z

2021-01-21T00:45:08.000Z

vlpi/model/FCLayers.py

daverblair/vlpi

e1a02f69bf04b43542438ae099af8c7388cd5362

[ "MIT" ]

null

vlpi/model/FCLayers.py

daverblair/vlpi

e1a02f69bf04b43542438ae099af8c7388cd5362

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Fri Jul 12 08:59:06 2019 @author: davidblair """ import collections from typing import Iterable import torch from torch import nn as nn from vlpi.utils.UtilityFunctions import one_hot from vlpi.utils.LinearPositiveWeights import LinearPositiveWeights class FCLayers_Monotonic(nn.Module): """A helper class to build fully-connected layers for a neural network. Uses Tanh for non-linearities; dropoutfor convergence. Adapted frome the scVI package: https://github.com/YosefLab/scVI. :param n_in: The dimensionality of the input data (excluding covariates) :param n_out: The dimensionality of the output layer :param n_cat_list: A list containing, for each categorical covariate of interest, the number of categories. Each category will be included using a one-hot encoding. :param n_layers: The number of fully-connected hidden layers :param n_hidden: The number of nodes per hidden layer :param dropout_rate: Dropout rate to apply to each of the hidden layers Note: there no batch normalization with this module, as this can break the positive correlation structure desired by the model. Moreover, we replaced the ReLU function with tanh function which ensures monotonicity without erasing negative values (which the ReLU will do by design) """ def __init__(self, n_in: int, n_out: int, n_cat_list: Iterable[int] = None, n_layers: int = 2, n_hidden: int = 128, dropout_rate: float = 0.2, use_batch_norm=True): super(FCLayers_Monotonic,self).__init__() layers_dim = [n_in] + (n_layers - 1) * [n_hidden] + [n_out] if n_cat_list is not None: # n_cat = 1 will be ignored self.n_cat_list = [n_cat if n_cat > 1 else 0 for n_cat in n_cat_list] else: self.n_cat_list = [] self.fc_layers = nn.Sequential(collections.OrderedDict( [('Layer {}'.format(i), nn.Sequential( LinearPositiveWeights(n_in + sum(self.n_cat_list), n_out,bias=True), nn.Tanh(), nn.Dropout(p=dropout_rate) if dropout_rate > 0 else None)) for i, (n_in, n_out) in enumerate(zip(layers_dim[:-1], layers_dim[1:]))])) def forward(self, x: torch.Tensor, *cat_list: int): """Forward computation on ``x``. :param x: tensor of values with shape ``(n_samples,n_in)`` :param cat_list: list of category membership(s) for this sample, provided as (1,n_sample) tensors :return: tensor of shape ``(n_out,n_samples)`` :rtype: :py:class:`torch.Tensor` """ one_hot_cat_list = [] # for generality in this list many indices useless. assert len(self.n_cat_list) <= len(cat_list), "nb. categorical args provided doesn't match init. params." for n_cat, cat in zip(self.n_cat_list, cat_list): assert not (n_cat and cat is None), "cat not provided while n_cat != 0 in init. params." if n_cat > 1: # n_cat = 1 will be ignored - no additional information if cat.size(1) != n_cat: one_hot_cat = one_hot(cat, n_cat) else: one_hot_cat = cat # cat has already been one_hot encoded one_hot_cat_list += [one_hot_cat] for layers in self.fc_layers: for layer in layers: if layer is not None: if isinstance(layer, LinearPositiveWeights): if x.size(0)!=0: x = torch.cat((x, *one_hot_cat_list), dim=-1) else: x = torch.cat((*one_hot_cat_list,), dim=-1) x = layer(x) return x class FCLayers(nn.Module): """A helper class to build fully-connected layers for a neural network. Uses ReLU for non-linearities, BatchNorm1d and dropout for convergence. Adapted frome the scVI package: https://github.com/YosefLab/scVI. :param n_in: The dimensionality of the input data (excluding covariates) :param n_out: The dimensionality of the output layer :param n_cat_list: A list containing, for each categorical covariate of interest, the number of categories. Each category will be included using a one-hot encoding. :param n_layers: The number of fully-connected hidden layers :param n_hidden: The number of nodes per hidden layer :param dropout_rate: Dropout rate to apply to each of the hidden layers :param use_batch_norm: whether or not to use batch normalization to speed convergence """ def __init__(self, n_in: int, n_out: int, n_cat_list: Iterable[int] = None, n_layers: int = 1, n_hidden: int = 128, dropout_rate: float = 0.2, use_batch_norm=True): super(FCLayers,self).__init__() layers_dim = [n_in] + (n_layers - 1) * [n_hidden] + [n_out] if n_cat_list is not None: # n_cat = 1 will be ignored self.n_cat_list = [n_cat if n_cat > 1 else 0 for n_cat in n_cat_list] else: self.n_cat_list = [] self.fc_layers = nn.Sequential(collections.OrderedDict( [('Layer {}'.format(i), nn.Sequential( nn.Linear(n_in + sum(self.n_cat_list), n_out,bias=True), nn.BatchNorm1d(n_out) if use_batch_norm else None, nn.ReLU(), nn.Dropout(p=dropout_rate) if dropout_rate > 0 else None)) for i, (n_in, n_out) in enumerate(zip(layers_dim[:-1], layers_dim[1:]))])) def forward(self, x: torch.Tensor, *cat_list: int): """Forward computation on ``x``. :param x: tensor of values with shape ``(n_samples,n_in)`` :param cat_list: list of category membership(s) for this sample, provided as (1,n_sample) tensors :return: tensor of shape ``(n_out,n_samples)`` :rtype: :py:class:`torch.Tensor` """ one_hot_cat_list = [] # for generality in this list many indices useless. assert len(self.n_cat_list) <= len(cat_list), "nb. categorical args provided doesn't match init. params." for n_cat, cat in zip(self.n_cat_list, cat_list): assert not (n_cat and cat is None), "cat not provided while n_cat != 0 in init. params." if n_cat > 1: # n_cat = 1 will be ignored - no additional information if cat.size(1) != n_cat: one_hot_cat = one_hot(cat, n_cat) else: one_hot_cat = cat # cat has already been one_hot encoded one_hot_cat_list += [one_hot_cat] for layers in self.fc_layers: for layer in layers: if layer is not None: if isinstance(layer, nn.Linear): if x.size(0)!=0: x = torch.cat((x, *one_hot_cat_list), dim=-1) else: x = torch.cat((*one_hot_cat_list,), dim=-1) x = layer(x) return x

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7

673fda1deb41691c812d9457cd0bf3535edf0a1b

15,770

py

Python

2019/day8.py

coingraham/adventofcode

52b5b3f049242881285d0c2704f44cc1ee2a821e

[ "MIT" ]

5

2020-12-04T04:30:17.000Z

2021-11-12T11:26:22.000Z

2019/day8.py

coingraham/adventofcode

52b5b3f049242881285d0c2704f44cc1ee2a821e

[ "MIT" ]

null

2019/day8.py

coingraham/adventofcode

52b5b3f049242881285d0c2704f44cc1ee2a821e

[ "MIT" ]

null

input = 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011""" input_list = [int(x) for x in list(input)] # min = 150 # total_value = 0 # for tranche in [(input_list[x:x + 150]) for x in range(0, len(input_list) - 150, 150)]: # zero = tranche.count(0) # if zero < min: # min = zero # total_value = tranche.count(1) * tranche.count(2) min = 150 previous_tranch = [2 for x in range(150)] input_list.reverse() for tranche in [(input_list[x:x + 150]) for x in range(0, len(input_list) - 149, 150)]: for indx in range(150): if tranche[indx] == 2: continue else: previous_tranch[indx] = tranche[indx] previous_tranch.reverse() lines = [(previous_tranch[x:x + 25]) for x in range(0, len(previous_tranch) - 24, 25)] for line in lines: print(line)

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py

Python

examples/legacy_examples/dagster_examples/event_pipeline_demo/repository.py

bitdotioinc/dagster

4fe395a37b206b1a48b956fa5dd72bf698104cca

[ "Apache-2.0" ]

2

2021-06-21T17:50:26.000Z

2021-06-21T19:14:23.000Z

examples/legacy_examples/dagster_examples/event_pipeline_demo/repository.py

bitdotioinc/dagster

4fe395a37b206b1a48b956fa5dd72bf698104cca

[ "Apache-2.0" ]

7

2022-03-16T06:55:04.000Z

2022-03-18T07:03:25.000Z

examples/legacy_examples/dagster_examples/event_pipeline_demo/repository.py

bitdotioinc/dagster

4fe395a37b206b1a48b956fa5dd72bf698104cca

[ "Apache-2.0" ]

1

2021-08-18T17:21:57.000Z

from dagster import repository from .pipelines import event_ingest_pipeline @repository def event_pipeline_demo_repo(): return [event_ingest_pipeline]

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py

Python

FRG Hardware/frghardware/pskpl/frghardware/pskpl/control.py

fenning-research-group/Instruments

c4e5f854fed1cce20f25076a38842bfbb5396917

[ "MIT" ]

null

FRG Hardware/frghardware/pskpl/frghardware/pskpl/control.py

fenning-research-group/Instruments

c4e5f854fed1cce20f25076a38842bfbb5396917

[ "MIT" ]

null

FRG Hardware/frghardware/pskpl/frghardware/pskpl/control.py

fenning-research-group/Instruments

c4e5f854fed1cce20f25076a38842bfbb5396917

[ "MIT" ]

1

2019-06-03T16:09:33.000Z

import numpy as np import matplotlib as plt import os import serial import time import h5py import sys import matplotlib.pyplot as plt from frghardware.components.stage import PLStage from frghardware.components.camera import Hayear # from frghardware.components.kepco import Kepco # from frghardware.components.daq import PLDAQ # from frghardware.components.laser import Laser808 from frghardware.components.tec import Omega import datetime import time from tqdm import tqdm import cv2 root = 'C:\\Users\\Operator\\Desktop\\frgPL' #default folder to save data if not os.path.exists(root): os.mkdir(root) datafolder = os.path.join(root, 'Data') if not os.path.exists(datafolder): os.mkdir(datafolder) calibrationfolder = os.path.join(root, 'Calibration') if not os.path.exists(calibrationfolder): os.mkdir(calibrationfolder) class Control2: def __init__(self,spotmapnumber = None): # hardware properties self.camid_550 = 0 self.camid_720 = 1 self.__temperature = 25 #TEC stage temperature setpoint (C) during measurement # data saving settings todaysDate = datetime.datetime.now().strftime('%Y%m%d') self.outputDirectory = os.path.join(root, 'Data', todaysDate) #default save locations is desktop/frgPL/Data/(todaysDate) self.sampleName = None self.__dataBuffer = [] # buffer to hold data files during sequential measurements of single sample. Held until a batch export # stage/positioning constants self.__sampleposition = (39, 90) #position where TEC stage is centered in camera FOV, mm self.__detectorposition = (64, 117) #absolute position of detector centered in FOV, mm. self.__fov = (77, 56) #dimensions of FOV, mm self.connect() # self.loadSpotCalibration(spotmapnumber) @property def temperature(self): return self.__temperature @temperature.setter def temperature(self, t): self.tec.setpoint = t self.__temperature = t def connect(self): self.cam550 = Hayear(self.camid_550) self.cam550.exposure = -5 self.cam720 = Hayear(self.camid_720) self.cam720.exposure = -5 # self.camera = FLIR() # connect to FLIR camera # self.kepco = Kepco() # connect to Kepco # self.kepco.set(voltage=0) # set voltage to 0, seems to solve current compliance issues # self.laser = Laser808() # Connect to OSTECH Laser # self.daq = PLDAQ() # connect to NI-USB6000 DAQ self.stage = PLStage(sampleposition = self.__sampleposition) # connect to FRG stage # self.tec = Omega('COM15') # connect to omega PID controller, which is driving the TEC stage. def disconnect(self): try: self.cam550.disconnect() self.cam720.disconnect() except: print('Could not disconnect camera') # try: # self.kepco.disconnect() # except: # print('Could not disconnect Kepco') # try: # self.daq.disconnect() # except: # print('Could not disconnect DAQ') try: self.stage.disconnect() except: print('Could not disconnect stage') try: self.tec.disconnect() except: print('Could not disconnect TEC controller') ### basic use functions def capture(self, samplename, frames = 10, note = '', save_img = False): im550 = self.cam550.capture(frames) im720 = self.cam550.capture(frames) self.save( samplename, im550, im720, note = note, save_img = save_img ) def save(self, samplename, img1, img2, x = None, y = None, note = '', outputdirectory = None, reset = True, save_img = False): ## figure out the sample directory, name, total filepath if samplename is not None: self.sampleName = samplename if outputdirectory is not None: self.outputDirectory = outputdirectory if not os.path.exists(self.outputDirectory): os.mkdir(self.outputDirectory) if x is None: x = self.stage.position[0] if y is None: y = self.stage.position[1] fids = os.listdir(self.outputDirectory) sampleNumber = 1 for fid in fids: if 'frg_pskPL' in fid: sampleNumber = sampleNumber + 1 todaysDate = datetime.datetime.now().strftime('%Y%m%d') currentTime = datetime.datetime.now().strftime('%H:%M:%S') if self.sampleName is not None: fname = 'frg_pskPL_{0}_{1:04d}_{2}.h5'.format(todaysDate, sampleNumber, self.sampleName) else: fname = 'frg_pskPL_{0}_{1:04d}.h5'.format(todaysDate, sampleNumber) self.sampleName = '' fpath = os.path.join(self.outputDirectory, fname) ## build each category in h5 file ### example dataset saved to _dataBuffer by .takeMeas # meas = { # 'sample': self.sampleName, # 'date': measdatetime.strftime('%Y-%m-%d'), # 'time': measdatetime.strftime('%H:%M:%S'), # 'cameraFOV':self.__fov, # 'bias': self.bias, # 'laserpower': self.laserpower, # 'saturationtime': self.saturationtime, # 'numIV': self.numIV, # 'numframes':self.numframes, # 'v_meas': v, # 'i_meas': i, # 'image': im, # } ## write h5 file with h5py.File(fpath, 'w') as f: # sample info info = f.create_group('/info') info.attrs['description'] = 'Metadata describing sample, datetime, etc.' temp = info.create_dataset('name', data = self.sampleName.encode('utf-8')) temp.attrs['description'] = 'Sample name.' temp = info.create_dataset('notes', data = note.encode('utf-8')) temp.attrs['description'] = 'Any notes describing each measurement.' date = info.create_dataset('date', data = todaysDate.encode('utf-8')) temp.attrs['description'] = 'Measurement date.' temp = info.create_dataset('time', data = currentTime.encode('utf-8')) temp.attrs['description'] = 'Measurement time of day.' # # measurement settings settings = f.create_group('/settings') settings.attrs['description'] = 'Settings used for measurements.' # temp = settings.create_dataset('vbias', data = np.array(data['bias'])) # temp.attrs['description'] = 'Nominal voltage bias set by Kepco during measurement.' # temp = settings.create_dataset('notes', data = np.array([x.encode('utf-8') for x in data['note']])) # temp.attrs['description'] = 'Any notes describing each measurement.' # temp = settings.create_dataset('laserpower', data = np.array(data['laserpower'])) # temp.attrs['description'] = 'Fractional laser power during measurement. Calculated as normalized laser current (max current = 55 A). Laser is operated at steady state.' # temp = settings.create_dataset('sattime', data = np.array(data['saturationtime'])) # temp.attrs['description'] = 'Saturation time for laser/bias conditioning prior to sample measurement. Delay between applying condition and measuring, in seconds.' # temp = settings.create_dataset('numIV', data = np.array(data['numIV'])) # temp.attrs['description'] = 'Number of current/voltage measurements averaged by Kepco when reading IV.' # temp = settings.create_dataset('numframes', data = np.array(data['numframes'])) # temp.attrs['description'] = 'Number of camera frames averaged when taking image.' # temp = settings.create_dataset('tempsp', data = np.array(data['temperature_setpoint'])) # temp.attrs['description'] = 'TEC stage temperature setpoint for each measurement.' # calibrations calibrations = f.create_group('/calibrations') calibrations.attrs['description'] = 'Instrument calibrations to be used for data analysis.' temp = settings.create_dataset('samplepos', data = np.array(self.__sampleposition)) temp.attrs['description'] = 'Stage position (um)[x,y] where sample is centered in camera field of view' temp = settings.create_dataset('detectorpos', data = np.array(self.__detectorposition)) temp.attrs['description'] = 'Stage position (um) [x,y] where photodetector is centered in camera field of view' temp = settings.create_dataset('camerafov', data = np.array(self.__fov)) temp.attrs['description'] = 'Camera field of view (um) [x,y]' # raw data rawdata = f.create_group('/data') rawdata.attrs['description'] = 'Raw measurements taken during imaging' temp = rawdata.create_dataset('x', data = np.array(x)) temp.attrs['description'] = 'Stage x position during measurement. Low x = right side of sample/left side of chamber' temp = rawdata.create_dataset('y', data = np.array(y)) temp.attrs['description'] = 'Stage y position during measurement. Low y = top of sample/back of chamber' temp = rawdata.create_dataset('img1', data = img1, chunks = True, compression = 'gzip') temp.attrs['description'] = 'Raw images acquired for each measurement.' temp = rawdata.create_dataset('filter1', data = '550 Longpass'.encode('utf-8')) temp = rawdata.create_dataset('img2', data = img2, chunks = True, compression = 'gzip') temp.attrs['description'] = 'Raw images acquired for each measurement.' temp = rawdata.create_dataset('filter2', data = '720 Longpass'.encode('utf-8')) temp = rawdata.create_dataset('temp', data = self.__temperature) temp.attrs['description'] = 'Measured TEC stage temperature during measurement. This value is the average of two temperature measurements, just before and after the image/kepco readings/photodetector readings are made. These two values typically span >1 second' print('Data saved to {0}'.format(fpath)) if save_img: saveme_0 = (img1*255).astype(int) saveme_1 = np.zeros(saveme_0.shape) saveme_1[:,:,0] = saveme_0[:,:,2] saveme_1[:,:,1] = saveme_0[:,:,1] saveme_1[:,:,2] = saveme_0[:,:,0] cv2.imwrite(fpath[:-3]+'.tif', saveme_1.astype(int)) return fpath ### tile imaging def tile(self, samplename, xmin, xmax, numx, ymin, ymax, numy, frames = 10): x0, y0 = self.stage.position xp = [int(x) for x in np.linspace(x0+xmin, x0+xmax, numx)] yp = [int(y) for y in np.linspace(y0+ymin, y0+ymax, numy)] ims1 = np.zeros((numy, numx, 1080, 1920, 3)) ims2 = np.zeros((numy, numx, 1080, 1920, 3)) self.stage.moveto(x = xp[0], y = yp[0]) time.sleep(5) #sometimes stage says its done moving too early, expect that on first move which is likely a longer travel time flip = False #for snaking. currently always false! backlash in stage makes stitching hard if snaking for m, y in tqdm(enumerate(yp), total = numy, desc = 'Y', leave = False): if flip: flip = False else: flip = False self.stage.moveto(y = y) for n, x in tqdm(enumerate(xp), total = numx, desc = 'X', leave = False): if flip: nn = -n-1 xx = xp[nn] else: nn = n xx = x self.stage.moveto(x = xx) ims1[m,nn] = self.cam550.capture(frames) ims2[m,nn] = self.cam720.capture(frames) self.stage.moveto(x = x0, y = y0) self.save( samplename, ims1, ims2, x = xp, y = yp, note = note, save_img = False ) ### calibration methods def preview(self): while(True): # Capture frame-by-frame ret1, frame1 = self.cam550.cap.read() ret2, frame2 = self.cam720.cap.read() if ret1 and ret2: # Our operations on the frame come here # gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) # Display the resulting frame cv2.imshow('550nm lp',cv2.resize(frame1, (800,600))) cv2.imshow('720nm lp',cv2.resize(frame2, (800,600))) if cv2.waitKey(1) & 0xFF == ord('q'): break cv2.destroyAllWindows() # def findOneSun(self, jsc, area): # ### finds fraction laser power for which measured jsc = target value from solar simulator JV testing. # # jsc: short circuit current density in mA/cm^2 (positive) # # area: active area cm^2 # if jsc < 1: # print('Please provide jsc in units of mA/cm^2, and area in units of cm^2') # return False # isc = -jsc * area / 1000 #negative total current in amps, since kepco will be measuring total photocurrent as amps # laserpowers = np.linspace(0,1, 7)[1:] #skip 0, lean on lower end to reduce incident power # self.kepco.set(voltage = 0) # laserjsc = np.zeros(len(laserpowers)) # self.laser.set(power = laserpowers[0]) #set to first power before turning on laser # self.laser.on() # self.kepco.on() # for idx, power in enumerate(laserpowers): # self.laser.set(power = power) # time.sleep(self.saturationtime) # _,laserjsc[idx] = self.kepco.read(counts = 25) # self.laser.off() # self.kepco.off() # #pdb.set_trace() # pfit = np.polyfit(laserjsc, laserpowers, 2) # p = np.poly1d(pfit) #polynomial fit object where x = measured jsc, y = laser power applied # self._sampleOneSun = p(isc) # self._sampleOneSunSweep = [laserpowers, laserjsc] # self._sampleOneSunJsc = jsc # #pdb.set_trace() # return p(isc), laserpowers, laserjsc #return laser power to match target jsc # def calibrateSpot(self, numx = 21, numy = 21, rngx = None, rngy = None, laserpower = 0.5, export = True): # ### maps an area around the sample FOV, finds the optical power at each point # print("calibration starting") # if not self.stage._homed: # print('Homing stage') # self.stage.gohome() # #default calibration area range = camera FOV # if rngx is None: # rngx = self.__fov[0] # if rngy is None: # rngy = self.__fov[1] # xpos = np.linspace(self.__detectorposition[0] - (rngx/2), self.__detectorposition[0] + (rngx/2), numx).astype(int) # ypos = np.linspace(self.__detectorposition[1] - (rngy/2), self.__detectorposition[1] + (rngy/2), numy).astype(int) # self.laser.set(power = laserpower) # self._spotMap = np.zeros((numy, numx)) # self._spotMapX = xpos # self._spotMapY = ypos # print('Moving to start position ({0}, {1})'.format(xpos[0], ypos[0])) # if not self.stage.moveto(x = xpos[0], y = ypos[0]): # print('Error moving stage to starting position ({0}, {1}) - stage is probably not homed. run method ._stage.gohome()'.format(xpos[0], ypos[0])) # return False # self.laser.on() # flip = 1 # for m, x in tqdm(enumerate(xpos), desc = 'X', total = len(xpos), leave = False): # flip = flip * -1 # self.stage.moveto(x = x) # for n in tqdm(range(len(ypos)), desc = 'Y', total = len(ypos), leave = False): # if flip > 0: #use nn instead of n, accounts for snaking between lines # nn = len(ypos) - n - 1 # else: # nn = n # self.stage.moveto(y = ypos[nn]) # self._spotMap[nn,m] = self._getOpticalPower()/100 # suns # self.laser.off() # self.stage.moveto(x = self.__sampleposition[0], y = self.__sampleposition[1]) #return stage to camera FOV # if export: # self.saveSpotCalibration(note = 'Autosaved by calibrateSpot') # def saveSpotCalibration(self, note = ''): # fids = os.listdir(calibrationfolder) # sampleNumber = 1 # for fid in fids: # if 'frgPL_spotCalibration' in fid: # sampleNumber = sampleNumber + 1 # todaysDate = datetime.datetime.now().strftime('%Y%m%d') # todaysTime = datetime.datetime.now().strftime('%H:%M:%S') # fname = 'frgPL_spotCalibration_{0}_{1:04d}.h5'.format(todaysDate, sampleNumber) # fpath = os.path.join(calibrationfolder, fname) # ## write h5 file # with h5py.File(fpath, 'w') as f: # # sample info # info = f.create_group('/info') # info.attrs['description'] = 'Metadata describing sample, datetime, etc.' # # temp = info.create_dataset('name', data = self.sampleName.encode('utf-8')) # # temp.attrs['description'] = 'Sample name.' # temp = info.create_dataset('notes', data = note.encode()) # temp.attrs['description'] = 'Any notes describing each measurement.' # temp = info.create_dataset('date', data = todaysDate.encode()) # temp.attrs['description'] = 'Measurement date.' # temp = info.create_dataset('time', data = todaysTime.encode()) # temp.attrs['description'] = 'Measurement time of day.' # # calibrations # calibrations = f.create_group('/calibrations') # calibrations.attrs['description'] = 'Instrument calibrations to be used for data analysis.' # temp = calibrations.create_dataset('samplepos', data = np.array(self.__sampleposition)) # temp.attrs['description'] = 'Stage position (um)[x,y] where sample is centered in camera field of view' # temp = calibrations.create_dataset('detectorpos', data = np.array(self.__detectorposition)) # temp.attrs['description'] = 'Stage position (um) [x,y] where photodetector is centered in camera field of view' # temp = calibrations.create_dataset('camerafov', data = np.array(self.__fov)) # temp.attrs['description'] = 'Camera field of view (um) [x,y]' # temp = calibrations.create_dataset('spot', data = np.array(self._spotMap)) # temp.attrs['description'] = 'Map [y, x] of incident optical power across camera FOV, can be used to normalize PL images. Laser power set to 0.5 during spot mapping.' # temp = calibrations.create_dataset('spotx', data = np.array(self._spotMapX)) # temp.attrs['description'] = 'X positions (um) for map of incident optical power across camera FOV, can be used to normalize PL images.' # temp = calibrations.create_dataset('spoty', data = np.array(self._spotMapY)) # temp.attrs['description'] = 'Y positions (um) for map of incident optical power across camera FOV, can be used to normalize PL images.' # print('Data saved to {0}'.format(fpath)) # def loadSpotCalibration(self, calibrationnumber = None): # fids = os.listdir(calibrationfolder) # calnum = [] # for fid in fids: # if 'frgPL_spotCalibration' in fid: # calnum.append(int(fid.split('_')[3].split('.')[0])) # else: # calnum.append(0) # if len(calnum) == 0: # print('Could not find any calibration files! No spotmap loaded') # return False # calfile = fids[calnum.index(max(calnum))] #default to most recent calibration # if calibrationnumber is not None: # try: # calfile = fids[calnum.index(calibrationnumber)] # except: # print('Could not find calibration {0}: defaulting to most recent calibration {1}'.format(calibrationnumber, max(calnum))) # fpath = os.path.join(calibrationfolder, calfile) # ## write h5 file # with h5py.File(fpath, 'r') as f: # self._spotMap = f['calibrations']['spot'][:] # self._spotMapX = f['calibrations']['spotx'][:] # self._spotMapT = f['calibrations']['spoty'][:] # print('Loaded calibration {0} from {1}.'.format(calnum[fids.index(calfile)], fpath)) # return True ### group measurement methods ### helper methods def _waitForTemperature(self): refreshDelay = 0.5 #how long to wait between temperautre checks, in seconds reachedTemp = False startTime = time.time() while (not reachedTemp) and (time.time() - startTime <= self.maxSoakTime): currentTemp = self.tec.getTemperature() if np.abs(currentTemp - self.temperature) <= self.temperatureTolerance: reachedTemp = True else: time.sleep(refreshDelay) if not reachedTemp: print('Did not reach {0} C within {1} seconds: starting measurement anyways.'.format(self.temperature, self.maxSoakTime)) return True def _getOpticalPower(self): ### reads signal from photodetector, converts to optical power using calibration vs thorlabs Si power meter (last checked 2019-08-20) calibrationFit = [-0.1145, 9.1180]; #polyfit of detector reading vs (Si power meter / detector reading), 2019-08-20 voltage, _, _ = self.daq.acquire() power = voltage * (calibrationFit[0]*voltage + calibrationFit[1]) #measured optical power, units of mW/cm^2 return power def _backgroundCorrection(self, img): img = img - self.__backgroundImage img[img<0] = 0 return img #def normalizePL(self): ### used laser spot power map to normalize PL counts to incident optical power class Control1: def __init__(self,spotmapnumber = None): # hardware properties self.camid = 0 self.__temperature = 25 #TEC stage temperature setpoint (C) during measurement # data saving settings todaysDate = datetime.datetime.now().strftime('%Y%m%d') self.outputDirectory = os.path.join(root, 'Data', todaysDate) #default save locations is desktop/frgPL/Data/(todaysDate) self.sampleName = None self.__dataBuffer = [] # buffer to hold data files during sequential measurements of single sample. Held until a batch export # stage/positioning constants self.__sampleposition = (39, 90) #position where TEC stage is centered in camera FOV, mm self.__detectorposition = (64, 117) #absolute position of detector centered in FOV, mm. self.__fov = (77, 56) #dimensions of FOV, mm self.connect() # self.loadSpotCalibration(spotmapnumber) @property def temperature(self): return self.__temperature @temperature.setter def temperature(self, t): self.tec.setpoint = t self.__temperature = t def connect(self): self.cam = Hayear(self.camid) # self.camera = FLIR() # connect to FLIR camera # self.kepco = Kepco() # connect to Kepco # self.kepco.set(voltage=0) # set voltage to 0, seems to solve current compliance issues # self.laser = Laser808() # Connect to OSTECH Laser # self.daq = PLDAQ() # connect to NI-USB6000 DAQ self.stage = PLStage(sampleposition = self.__sampleposition) # connect to FRG stage # self.tec = Omega('COM15') # connect to omega PID controller, which is driving the TEC stage. def disconnect(self): try: self.cam.disconnect() except: print('Could not disconnect camera') # try: # self.kepco.disconnect() # except: # print('Could not disconnect Kepco') # try: # self.daq.disconnect() # except: # print('Could not disconnect DAQ') try: self.stage.disconnect() except: print('Could not disconnect stage') try: self.tec.disconnect() except: print('Could not disconnect TEC controller') ### basic use functions def capture(self, samplename = None, frames = 10, note = '', save_img = False): im = self.cam.capture(frames) self.save(im,samplename, note, save_img = save_img) def save(self, img, samplename = None, note = '', outputdirectory = None, reset = True, save_img = False): ## figure out the sample directory, name, total filepath if samplename is not None: self.sampleName = samplename if outputdirectory is not None: self.outputDirectory = outputdirectory if not os.path.exists(self.outputDirectory): os.mkdir(self.outputDirectory) fids = os.listdir(self.outputDirectory) sampleNumber = 1 for fid in fids: if 'frg_pskPL' in fid: sampleNumber = sampleNumber + 1 todaysDate = datetime.datetime.now().strftime('%Y%m%d') currentTime = datetime.datetime.now().strftime('%H:%M:%S') if self.sampleName is not None: fname = 'frg_pskPL_{0}_{1:04d}_{2}.h5'.format(todaysDate, sampleNumber, self.sampleName) else: fname = 'frg_pskPL_{0}_{1:04d}.h5'.format(todaysDate, sampleNumber) self.sampleName = '' fpath = os.path.join(self.outputDirectory, fname) ## build each category in h5 file ### example dataset saved to _dataBuffer by .takeMeas # meas = { # 'sample': self.sampleName, # 'date': measdatetime.strftime('%Y-%m-%d'), # 'time': measdatetime.strftime('%H:%M:%S'), # 'cameraFOV':self.__fov, # 'bias': self.bias, # 'laserpower': self.laserpower, # 'saturationtime': self.saturationtime, # 'numIV': self.numIV, # 'numframes':self.numframes, # 'v_meas': v, # 'i_meas': i, # 'image': im, # } ## write h5 file with h5py.File(fpath, 'w') as f: # sample info info = f.create_group('/info') info.attrs['description'] = 'Metadata describing sample, datetime, etc.' temp = info.create_dataset('name', data = self.sampleName.encode('utf-8')) temp.attrs['description'] = 'Sample name.' temp = info.create_dataset('notes', data = note.encode('utf-8')) temp.attrs['description'] = 'Any notes describing each measurement.' temp = info.create_dataset('date', data = todaysDate.encode('utf-8')) temp.attrs['description'] = 'Measurement date.' temp = info.create_dataset('time', data = currentTime.encode('utf-8')) temp.attrs['description'] = 'Measurement time of day.' temp = info.create_dataset('numcams', data = 1) temp.attrs['description'] = 'Number of cameras employed in setup' # # measurement settings settings = f.create_group('/settings') settings.attrs['description'] = 'Settings used for measurements.' # temp = settings.create_dataset('vbias', data = np.array(data['bias'])) # temp.attrs['description'] = 'Nominal voltage bias set by Kepco during measurement.' # temp = settings.create_dataset('notes', data = np.array([x.encode('utf-8') for x in data['note']])) # temp.attrs['description'] = 'Any notes describing each measurement.' # temp = settings.create_dataset('laserpower', data = np.array(data['laserpower'])) # temp.attrs['description'] = 'Fractional laser power during measurement. Calculated as normalized laser current (max current = 55 A). Laser is operated at steady state.' # temp = settings.create_dataset('sattime', data = np.array(data['saturationtime'])) # temp.attrs['description'] = 'Saturation time for laser/bias conditioning prior to sample measurement. Delay between applying condition and measuring, in seconds.' # temp = settings.create_dataset('numIV', data = np.array(data['numIV'])) # temp.attrs['description'] = 'Number of current/voltage measurements averaged by Kepco when reading IV.' # temp = settings.create_dataset('numframes', data = np.array(data['numframes'])) # temp.attrs['description'] = 'Number of camera frames averaged when taking image.' # temp = settings.create_dataset('tempsp', data = np.array(data['temperature_setpoint'])) # temp.attrs['description'] = 'TEC stage temperature setpoint for each measurement.' if self.stage.position[0] is None: stagepos = self.__sampleposition else: stagepos = self.stage.position temp = settings.create_dataset('position', data = np.array(stagepos)) temp.attrs['description'] = 'Stage position during measurement.' # calibrations calibrations = f.create_group('/calibrations') calibrations.attrs['description'] = 'Instrument calibrations to be used for data analysis.' temp = settings.create_dataset('samplepos', data = np.array(self.__sampleposition)) temp.attrs['description'] = 'Stage position (um)[x,y] where sample is centered in camera field of view' temp = settings.create_dataset('detectorpos', data = np.array(self.__detectorposition)) temp.attrs['description'] = 'Stage position (um) [x,y] where photodetector is centered in camera field of view' temp = settings.create_dataset('camerafov', data = np.array(self.__fov)) temp.attrs['description'] = 'Camera field of view (um) [x,y]' # raw data rawdata = f.create_group('/data') rawdata.attrs['description'] = 'Raw measurements taken during imaging' temp = rawdata.create_dataset('img', data = img, chunks = True, compression = 'gzip') temp.attrs['description'] = 'Raw images acquired for each measurement.' temp = rawdata.create_dataset('filter', data = '500 Longpass'.encode('utf-8')) temp = rawdata.create_dataset('temp', data = self.__temperature) temp.attrs['description'] = 'Measured TEC stage temperature during measurement. This value is the average of two temperature measurements, just before and after the image/kepco readings/photodetector readings are made. These two values typically span >1 second' print('Data saved to {0}'.format(fpath)) if save_img: saveme_0 = (img1*255).astype(int) saveme_1 = np.zeros(saveme_0.shape) saveme_1[:,:,0] = saveme_0[:,:,2] saveme_1[:,:,1] = saveme_0[:,:,1] saveme_1[:,:,2] = saveme_0[:,:,0] cv2.imwrite(fpath[:-3]+'.tif', saveme_1.astype(int)) return fpath ### tile imaging def tileImages(self, xmin, xmax, numx, ymin, ymax, numy, frames = 100): x0, y0 = self.stage.position xp = [int(x) for x in np.linspace(x0+xmin, x0+xmax, numx)] yp = [int(y) for y in np.linspace(y0+ymin, y0+ymax, numy)] ims1 = np.zeros((numy, numx, 1080, 1920, 3)) ims2 = np.zeros((numy, numx, 1080, 1920, 3)) self.stage.moveto(x = xp[0], y = yp[0]) time.sleep(5) #sometimes stage says its done moving too early, expect that on first move which is likely a longer travel time flip = False #for snaking for m, y in tqdm(enumerate(yp), total = numy, desc = 'Y', leave = False): if flip: flip = False else: flip = False self.stage.moveto(y = y) for n, x in tqdm(enumerate(xp), total = numx, desc = 'X', leave = False): if flip: nn = -n-1 xx = xp[nn] else: nn = n xx = x self.stage.moveto(x = xx) ims1[m,nn] = self.cam550.capture(frames) ims2[m,nn] = self.cam550.capture(frames) self.stage.moveto(x = x0, y = y0) return ims1, ims2, xp, yp ### calibration methods def preview(self): while(True): # Capture frame-by-frame ret1, frame1 = self.cam550.cap.read() ret2, frame2 = self.cam720.cap.read() if ret1 and ret2: # Our operations on the frame come here # gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) # Display the resulting frame cv2.imshow('550nm lp',cv2.resize(frame1, (800,600))) cv2.imshow('720nm lp',cv2.resize(frame2, (800,600))) if cv2.waitKey(1) & 0xFF == ord('q'): break cv2.destroyAllWindows() # def findOneSun(self, jsc, area): # ### finds fraction laser power for which measured jsc = target value from solar simulator JV testing. # # jsc: short circuit current density in mA/cm^2 (positive) # # area: active area cm^2 # if jsc < 1: # print('Please provide jsc in units of mA/cm^2, and area in units of cm^2') # return False # isc = -jsc * area / 1000 #negative total current in amps, since kepco will be measuring total photocurrent as amps # laserpowers = np.linspace(0,1, 7)[1:] #skip 0, lean on lower end to reduce incident power # self.kepco.set(voltage = 0) # laserjsc = np.zeros(len(laserpowers)) # self.laser.set(power = laserpowers[0]) #set to first power before turning on laser # self.laser.on() # self.kepco.on() # for idx, power in enumerate(laserpowers): # self.laser.set(power = power) # time.sleep(self.saturationtime) # _,laserjsc[idx] = self.kepco.read(counts = 25) # self.laser.off() # self.kepco.off() # #pdb.set_trace() # pfit = np.polyfit(laserjsc, laserpowers, 2) # p = np.poly1d(pfit) #polynomial fit object where x = measured jsc, y = laser power applied # self._sampleOneSun = p(isc) # self._sampleOneSunSweep = [laserpowers, laserjsc] # self._sampleOneSunJsc = jsc # #pdb.set_trace() # return p(isc), laserpowers, laserjsc #return laser power to match target jsc # def calibrateSpot(self, numx = 21, numy = 21, rngx = None, rngy = None, laserpower = 0.5, export = True): # ### maps an area around the sample FOV, finds the optical power at each point # print("calibration starting") # if not self.stage._homed: # print('Homing stage') # self.stage.gohome() # #default calibration area range = camera FOV # if rngx is None: # rngx = self.__fov[0] # if rngy is None: # rngy = self.__fov[1] # xpos = np.linspace(self.__detectorposition[0] - (rngx/2), self.__detectorposition[0] + (rngx/2), numx).astype(int) # ypos = np.linspace(self.__detectorposition[1] - (rngy/2), self.__detectorposition[1] + (rngy/2), numy).astype(int) # self.laser.set(power = laserpower) # self._spotMap = np.zeros((numy, numx)) # self._spotMapX = xpos # self._spotMapY = ypos # print('Moving to start position ({0}, {1})'.format(xpos[0], ypos[0])) # if not self.stage.moveto(x = xpos[0], y = ypos[0]): # print('Error moving stage to starting position ({0}, {1}) - stage is probably not homed. run method ._stage.gohome()'.format(xpos[0], ypos[0])) # return False # self.laser.on() # flip = 1 # for m, x in tqdm(enumerate(xpos), desc = 'X', total = len(xpos), leave = False): # flip = flip * -1 # self.stage.moveto(x = x) # for n in tqdm(range(len(ypos)), desc = 'Y', total = len(ypos), leave = False): # if flip > 0: #use nn instead of n, accounts for snaking between lines # nn = len(ypos) - n - 1 # else: # nn = n # self.stage.moveto(y = ypos[nn]) # self._spotMap[nn,m] = self._getOpticalPower()/100 # suns # self.laser.off() # self.stage.moveto(x = self.__sampleposition[0], y = self.__sampleposition[1]) #return stage to camera FOV # if export: # self.saveSpotCalibration(note = 'Autosaved by calibrateSpot') # def saveSpotCalibration(self, note = ''): # fids = os.listdir(calibrationfolder) # sampleNumber = 1 # for fid in fids: # if 'frgPL_spotCalibration' in fid: # sampleNumber = sampleNumber + 1 # todaysDate = datetime.datetime.now().strftime('%Y%m%d') # todaysTime = datetime.datetime.now().strftime('%H:%M:%S') # fname = 'frgPL_spotCalibration_{0}_{1:04d}.h5'.format(todaysDate, sampleNumber) # fpath = os.path.join(calibrationfolder, fname) # ## write h5 file # with h5py.File(fpath, 'w') as f: # # sample info # info = f.create_group('/info') # info.attrs['description'] = 'Metadata describing sample, datetime, etc.' # # temp = info.create_dataset('name', data = self.sampleName.encode('utf-8')) # # temp.attrs['description'] = 'Sample name.' # temp = info.create_dataset('notes', data = note.encode()) # temp.attrs['description'] = 'Any notes describing each measurement.' # temp = info.create_dataset('date', data = todaysDate.encode()) # temp.attrs['description'] = 'Measurement date.' # temp = info.create_dataset('time', data = todaysTime.encode()) # temp.attrs['description'] = 'Measurement time of day.' # # calibrations # calibrations = f.create_group('/calibrations') # calibrations.attrs['description'] = 'Instrument calibrations to be used for data analysis.' # temp = calibrations.create_dataset('samplepos', data = np.array(self.__sampleposition)) # temp.attrs['description'] = 'Stage position (um)[x,y] where sample is centered in camera field of view' # temp = calibrations.create_dataset('detectorpos', data = np.array(self.__detectorposition)) # temp.attrs['description'] = 'Stage position (um) [x,y] where photodetector is centered in camera field of view' # temp = calibrations.create_dataset('camerafov', data = np.array(self.__fov)) # temp.attrs['description'] = 'Camera field of view (um) [x,y]' # temp = calibrations.create_dataset('spot', data = np.array(self._spotMap)) # temp.attrs['description'] = 'Map [y, x] of incident optical power across camera FOV, can be used to normalize PL images. Laser power set to 0.5 during spot mapping.' # temp = calibrations.create_dataset('spotx', data = np.array(self._spotMapX)) # temp.attrs['description'] = 'X positions (um) for map of incident optical power across camera FOV, can be used to normalize PL images.' # temp = calibrations.create_dataset('spoty', data = np.array(self._spotMapY)) # temp.attrs['description'] = 'Y positions (um) for map of incident optical power across camera FOV, can be used to normalize PL images.' # print('Data saved to {0}'.format(fpath)) # def loadSpotCalibration(self, calibrationnumber = None): # fids = os.listdir(calibrationfolder) # calnum = [] # for fid in fids: # if 'frgPL_spotCalibration' in fid: # calnum.append(int(fid.split('_')[3].split('.')[0])) # else: # calnum.append(0) # if len(calnum) == 0: # print('Could not find any calibration files! No spotmap loaded') # return False # calfile = fids[calnum.index(max(calnum))] #default to most recent calibration # if calibrationnumber is not None: # try: # calfile = fids[calnum.index(calibrationnumber)] # except: # print('Could not find calibration {0}: defaulting to most recent calibration {1}'.format(calibrationnumber, max(calnum))) # fpath = os.path.join(calibrationfolder, calfile) # ## write h5 file # with h5py.File(fpath, 'r') as f: # self._spotMap = f['calibrations']['spot'][:] # self._spotMapX = f['calibrations']['spotx'][:] # self._spotMapT = f['calibrations']['spoty'][:] # print('Loaded calibration {0} from {1}.'.format(calnum[fids.index(calfile)], fpath)) # return True ### group measurement methods ### helper methods def _waitForTemperature(self): refreshDelay = 0.5 #how long to wait between temperautre checks, in seconds reachedTemp = False startTime = time.time() while (not reachedTemp) and (time.time() - startTime <= self.maxSoakTime): currentTemp = self.tec.getTemperature() if np.abs(currentTemp - self.temperature) <= self.temperatureTolerance: reachedTemp = True else: time.sleep(refreshDelay) if not reachedTemp: print('Did not reach {0} C within {1} seconds: starting measurement anyways.'.format(self.temperature, self.maxSoakTime)) return True def _getOpticalPower(self): ### reads signal from photodetector, converts to optical power using calibration vs thorlabs Si power meter (last checked 2019-08-20) calibrationFit = [-0.1145, 9.1180]; #polyfit of detector reading vs (Si power meter / detector reading), 2019-08-20 voltage, _, _ = self.daq.acquire() power = voltage * (calibrationFit[0]*voltage + calibrationFit[1]) #measured optical power, units of mW/cm^2 return power def _backgroundCorrection(self, img): img = img - self.__backgroundImage img[img<0] = 0 return img #def normalizePL(self): ### used laser spot power map to normalize PL counts to incident optical power

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Python

platform/hwconf_data/efr32fg12p/PythonSnippet/__init__.py

lenloe1/v2.7

9ac9c4a7bb37987af382c80647f42d84db5f2e1d

[ "Zlib" ]

null

platform/hwconf_data/efr32fg12p/PythonSnippet/__init__.py

lenloe1/v2.7

9ac9c4a7bb37987af382c80647f42d84db5f2e1d

[ "Zlib" ]

1

2020-08-25T02:36:22.000Z

platform/hwconf_data/efr32fg12p/PythonSnippet/__init__.py

lenloe1/v2.7

9ac9c4a7bb37987af382c80647f42d84db5f2e1d

[ "Zlib" ]

1

2020-08-25T01:56:04.000Z

from efr32fg12p.halconfig import halconfig_types as types from efr32fg12p.halconfig import halconfig_dependency as dep

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py

Python

inxai/perturbers.py

sbobek/inxai

734a5ce164a1b3736350d9671300d5e58e714639

[ "MIT" ]

3

2020-12-29T09:29:55.000Z

2021-11-04T11:30:54.000Z

inxai/perturbers.py

sbobek/inxai

734a5ce164a1b3736350d9671300d5e58e714639

[ "MIT" ]

6

2020-12-23T09:48:56.000Z

2021-05-31T18:55:31.000Z

inxai/perturbers.py

sbobek/inxai

734a5ce164a1b3736350d9671300d5e58e714639

[ "MIT" ]

1

2021-01-06T19:22:47.000Z

from sklearn.base import TransformerMixin, BaseEstimator import numpy as np class NormalNoisePerturber(TransformerMixin, BaseEstimator): """ Generates normal noise according to specified parameters. During perturbation phase the noise is added to the features. If @scale is not given, it is learned during @fit. """ def __init__(self, scale=None, importances = None): self.scale = scale self.importances = importances self.colnames = None def set_importances(self, importances): self.importances = importances def fit(self, X): if self.scale is None: #detect dscale for every column pass self.colnames = X.columns return self def transform(self, X): return X.apply(lambda x: x + self.importances * np.random.normal(0, self.scale), axis=1) def get_feature_names(self): return self.colnames class MultivarietNormalNoisePerturber(TransformerMixin, BaseEstimator): def __init__(self, mean=None, cov=None, importances = None): self.mean = mean self.cov = cov self.importances = importances self.colnames = None def set_importances(self, importances): self.importances = importances def fit(self, X): if self.mean or self.cov is None: #detect dscale for every column pass self.colnames = X.columns return self def transform(self, X): #TODO normal dist in lc of x and scale of importance should be multiplied by the multiivariate dist return X.apply(lambda x: x + self.importances * np.random.multivariate_normal(self.mean, self.cov), axis=1) def get_feature_names(self): return self.colnames class CategoricalNoisePerturber(TransformerMixin, BaseEstimator): def __init__(self, probability_multiplier=1, importances = None): self.probability_multiplier = probability_multiplier self.importances = importances def set_importances(self, importances): self.importances = importances def fit(self, X): return self def transform(self, X): for col_idx, column in enumerate(X): unique_elements = X[column].unique() for row in X[column].iteritems(): if np.random.random() < self.probability_multiplier * self.importances[col_idx]: X.loc[row[0], column] = np.random.choice(unique_elements) return X class ShufflePerturber(TransformerMixin, BaseEstimator): """Perturbation that is performed according to the distribution of the features by shuffling values within features across all instances. No artificial noise is generated """ def fit(self, X): return self def transform(self, X): pass

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db15166c8ed151bf644ab29c5b0c3789915ffca0

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py

Python

tests/clustermatch/test_maxdiff_clustering.py

sinc-lab/clustermatch

8b66b3d7add0150ed1d7888889911233544cedfc

[ "MIT" ]

6

2019-05-10T05:39:28.000Z

2021-03-16T18:48:27.000Z

tests/clustermatch/test_maxdiff_clustering.py

sinc-lab/clustermatch

8b66b3d7add0150ed1d7888889911233544cedfc

[ "MIT" ]

1

2021-01-29T19:43:09.000Z

tests/clustermatch/test_maxdiff_clustering.py

sinc-lab/clustermatch

8b66b3d7add0150ed1d7888889911233544cedfc

[ "MIT" ]

null

import unittest from random import shuffle import numpy as np from sklearn.metrics import adjusted_rand_score as ari from clustermatch.cluster import run_kde_clustering, run_maxdiff_clustering class MaxDiffClusteringTest(unittest.TestCase): def test_two_clusters01(self): # Prepare np.random.seed(0) data = np.concatenate(( np.random.normal(0, 1, 13), np.random.normal(5, 1, 7) )) data_ref = np.concatenate(([0] * 13, [1] * 7)) idx_shuffled = list(range(len(data))) shuffle(idx_shuffled) data = data[idx_shuffled] data_ref = data_ref[idx_shuffled] # Run part = run_maxdiff_clustering(data, 2) # Validate assert part is not None assert len(part) == 20 assert len(np.unique(part)) == 2 assert ari(data_ref, part) == 1.0 def test_two_clusters02(self): # Prepare np.random.seed(0) data = np.concatenate(( np.random.normal(-3, 0.5, 7), np.random.normal(0, 1, 7), np.random.normal(5, 1, 6) )) data_ref = np.concatenate(([0] * 14, [1] * 6)) idx_shuffled = list(range(len(data))) shuffle(idx_shuffled) data = data[idx_shuffled] data_ref = data_ref[idx_shuffled] # Run part = run_maxdiff_clustering(data, 2) # Validate assert part is not None assert len(part) == 20 assert len(np.unique(part)) == 2 assert ari(data_ref, part) == 1.0 def test_three_clusters01(self): # Prepare np.random.seed(0) data = np.concatenate(( np.random.normal(-3, 0.5, 7), np.random.normal(0, 1, 7), np.random.normal(5, 1, 6) )) data_ref = np.concatenate(([0] * 7, [1] * 7, [2] * 6)) idx_shuffled = list(range(len(data))) shuffle(idx_shuffled) data = data[idx_shuffled] data_ref = data_ref[idx_shuffled] # Run part = run_maxdiff_clustering(data, 3) # Validate assert part is not None assert len(part) == 20 assert len(np.unique(part)) == 3 assert ari(data_ref, part) == 1.0 def test_three_clusters02(self): # Prepare np.random.seed(0) data = np.concatenate(( np.random.normal(-5, 1, 6), np.random.normal(0, 1, 7), np.random.normal(4, 0.5, 7), )) data_ref = np.concatenate(([0] * 6, [1] * 7, [2] * 7)) idx_shuffled = list(range(len(data))) shuffle(idx_shuffled) data = data[idx_shuffled] data_ref = data_ref[idx_shuffled] # Run part = run_maxdiff_clustering(data, 3) # Validate assert part is not None assert len(part) == 20 assert len(np.unique(part)) == 3 assert ari(data_ref, part) == 1.0 def test_four_clusters01(self): # Prepare np.random.seed(0) data = np.concatenate(( np.random.normal(-5, 1, 5), np.random.normal(0, 0.5, 5), np.random.normal(3, 0.5, 5), np.random.normal(7, 1, 5), )) data_ref = np.concatenate(([0] * 5, [1] * 5, [2] * 5, [3] * 5)) idx_shuffled = list(range(len(data))) shuffle(idx_shuffled) data = data[idx_shuffled] data_ref = data_ref[idx_shuffled] # Run part = run_maxdiff_clustering(data, 4) # Validate assert part is not None assert len(part) == 20 assert len(np.unique(part)) == 4 assert ari(data_ref, part) == 1.0 def test_fixed_points_5_clusters(self): # Prepare np.random.seed(0) data = np.concatenate(( np.array([-11.5, -11.45, -10.5]), # whole diff: 1.0 -> 0.05, 0.95 # diff between: 3.0 np.array([-7.5, -6.5, -6.0]), # whole diff: 1.5 -> 0.50, 1.00 # diff between: 2.0 np.array([-4.0, -3.9, -3.5, -3.3, -3.2]), # whole diff: 0.8 -> 0.10, 0.40 # diff between: 2.5 np.array([-0.7, -0.6, -0.4, -0.35, 0.5]), # whole diff: 1.2 -> 0.05, 0.85 # diff between: 5.0 np.array([5.5, 5.9, 6.3, 6.8, 7.2]), # whole diff: 1.7 -> 0.4, 0.5 )) data_ref = np.concatenate(([0] * 3, [1] * 3, [2] * 5, [3] * 5, [4] * 5)) assert len(data) == len(data_ref) idx_shuffled = list(range(len(data))) shuffle(idx_shuffled) data = data[idx_shuffled] data_ref = data_ref[idx_shuffled] # Run part = run_maxdiff_clustering(data, 5) # Validate assert part is not None assert len(part) == 21 assert len(np.unique(part)) == 5 assert ari(data_ref, part) == 1.0 def test_fixed_points_6_clusters(self): # Prepare np.random.seed(0) # same data, but rearranged to show more clusters data = np.concatenate(( np.array([-11.5, -11.45, -10.5]), # whole diff: 1.0 -> 0.05, 0.95 # diff between: 3.0 # NEXT SPLIT np.array([-7.5, -6.5, -6.0]), # whole diff: 1.5 -> 0.50, 1.00 np.array([-7.5]), # whole diff: 0.0 -> - ## diff between: 1.0 np.array([-6.5, -6.0]), # whole diff: 0.5 -> - # diff between: 2.0 np.array([-4.0, -3.9, -3.5, -3.3, -3.2]), # whole diff: 0.8 -> 0.10, 0.40 # diff between: 2.5 np.array([-0.7, -0.6, -0.4, -0.35, 0.5]), # whole diff: 1.2 -> 0.05, 0.85 # diff between: 5.0 np.array([5.5, 5.9, 6.3, 6.8, 7.2]), # whole diff: 1.7 -> 0.4, 0.5 )) data_ref = np.concatenate(([0] * 3, [5] * 1, [6] * 2, [2] * 5, [3] * 5, [4] * 5)) assert len(data) == len(data_ref) idx_shuffled = list(range(len(data))) shuffle(idx_shuffled) data = data[idx_shuffled] data_ref = data_ref[idx_shuffled] # Run part = run_maxdiff_clustering(data, 6) # Validate assert part is not None assert len(part) == 21 assert len(np.unique(part)) == 6 assert ari(data_ref, part) == 1.0 def test_fixed_points_10_clusters(self): # Prepare np.random.seed(0) # same data, but rearranged to show more clusters data = np.concatenate(( np.array([-11.5, -11.45, -10.5]), # whole diff: 1.0 -> 0.05, 0.95 # diff between: 3.0 # NEXT SPLIT np.array([-7.5, -6.5, -6.0]), # whole diff: 1.5 -> 0.50, 1.00 np.array([-7.5]), # whole diff: 0.0 -> - ## diff between: 1.0 np.array([-6.5, -6.0]), # whole diff: 0.5 -> - # diff between: 2.0 np.array([-4.0, -3.9, -3.5, -3.3, -3.2]), # whole diff: 0.8 -> 0.10, 0.40 # diff between: 2.5 np.array([-0.7, -0.6, -0.4, -0.35, 0.5]), # whole diff: 1.2 -> 0.05, 0.85 # diff between: 5.0 np.array([5.5, 5.9, 6.3, 6.8, 7.2]), # whole diff: 1.7 -> 0.4, 0.5 )) data_ref = np.concatenate(([0] * 3, [5] * 1, [6] * 2, [2] * 5, [3] * 5, [4] * 5)) assert len(data) == len(data_ref) idx_shuffled = list(range(len(data))) shuffle(idx_shuffled) data = data[idx_shuffled] data_ref = data_ref[idx_shuffled] # Run part = run_maxdiff_clustering(data, 6) # Validate assert part is not None assert len(part) == 21 assert len(np.unique(part)) == 6 assert ari(data_ref, part) == 1.0

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Python

L09_packet_dir/Jobs_from_L09_Game_Fool_pkg/by_Aleksey_Vedyashkin_game_logic1_durak.py

github-Ilfat/All_Lesson_of_Python

fbab364fe91e05e08658662b16470a1809b6b2b0

[ "MIT" ]

null

L09_packet_dir/Jobs_from_L09_Game_Fool_pkg/by_Aleksey_Vedyashkin_game_logic1_durak.py

github-Ilfat/All_Lesson_of_Python

fbab364fe91e05e08658662b16470a1809b6b2b0

[ "MIT" ]

null

L09_packet_dir/Jobs_from_L09_Game_Fool_pkg/by_Aleksey_Vedyashkin_game_logic1_durak.py

github-Ilfat/All_Lesson_of_Python

fbab364fe91e05e08658662b16470a1809b6b2b0

[ "MIT" ]

null

from L09_packet_dir.Jobs_from_L09_Game_Fool_pkg import Game_fool_card_desc # #Алексей Ведяшкин • Вс 02 Фев 12:57 • Ответ создан Сб 01 Фев 01:00 #https://github.com/sdfxisme/lesson9/blob/master/cards.py import random class Game_logic1_durak: def __init__(self,N,mode): self.turn_num = N self.mode = mode def set_players_cards(self): self.list_coloda = [(6, 'c'), (7, 'c'), (8, 'c'), (9, 'c'), (10, 'c'), (11, 'c'), (12, 'c'), (13, 'c'), (14, 'c'), (6, 'b'), (7, 'b'), (8, 'b'), (9, 'b'), (10, 'b'), (11, 'b'), (12, 'b'), (13, 'b'), (14, 'b'), (6, 'k'), (7, 'k'), (8, 'k'), (9, 'k'), (10, 'k'), (11, 'k'), (12, 'k'), (13, 'k'), (14, 'k'), (6, 'p'), (7, 'p'), (8, 'p'), (9, 'p'), (10, 'p'), (11, 'p'), (12, 'p'), (13, 'p'), (14, 'p')] list_cards_player_1 = [] list_cards_player_2 = [] for i in range(6): player_1_card = random.choice(self.list_coloda) list_cards_player_1.append(player_1_card) self.list_coloda.remove(player_1_card) player_2_card = random.choice(self.list_coloda) list_cards_player_2.append(player_2_card) self.list_coloda.remove(player_2_card) self.player_1_cards = list_cards_player_1 self.player_2_cards = list_cards_player_2 self.player_1_cards.sort() self.player_2_cards.sort() kozir_card = random.choice(self.list_coloda) self.kozir = kozir_card[1] random.shuffle(self.list_coloda) self.list_bito = [] #-------------------------------------------------------------------------------------------------------------- self.n1='Компьютер' #──── имя игрока 1 self.n2='Компьютер' #──── имя игрока 2 self.g1c = [0,0,0] #──── ранг карты, игрока 1 self.g1s = [0,0,0] #──── масть карты, игрока 1 self.d_c = [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] #──── ранг карты, для позиций с 1 по 4 и 18 self.d_s = [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] #──── масть карты, для позиций с 1 по 4 и 18 self.g2c = [0,0,0] #──── ранг карты, игрока 2 self.g2s = [0,0,0] #──── масть карты, игрока 2 for i in range(len(self.player_1_cards)): tuple_g1 = self.player_1_cards[i] tuple_g2 = self.player_2_cards[i] self.g1c.append(tuple_g1[0]-4) if tuple_g1[1] == 'c': self.g1s.append(4) if tuple_g1[1] == 'b': self.g1s.append(3) if tuple_g1[1] == 'k': self.g1s.append(2) if tuple_g1[1] == 'p': self.g1s.append(5) self.g2c.append(tuple_g2[0]-4) if tuple_g2[1] == 'c': self.g2s.append(4) if tuple_g2[1] == 'b': self.g2s.append(3) if tuple_g2[1] == 'k': self.g2s.append(2) if tuple_g2[1] == 'p': self.g2s.append(5) self.d_c.insert(3, 1) # козырь только масть if self.kozir == 'c': self.d_s.insert(3,4) if self.kozir == 'b': self.d_s.insert(3,3) if self.kozir == 'k': self.d_s.insert(3,2) if self.kozir == 'p': self.d_s.insert(3,5) name1=self.n1 gmr1c=self.g1c gmr1s=self.g1s name2=self.n2 gmr2c=self.g2c gmr2s=self.g2s dsc_c=self.d_c dsc_s=self.d_s cld_n=len(self.list_coloda) x=Game_fool_card_desc(name1, gmr1c, gmr1s, name2, gmr2c, gmr2s, dsc_c, dsc_s, cld_n) x.blk_chk() x.Dsc_img() #-------------------------------------------------------------------------------------------------------------- if self.mode==2: print('карты 1-го игрока:', len(self.player_1_cards), self.player_1_cards,',') if self.mode==2: print('карты 2-го игрока:', len(self.player_2_cards), self.player_2_cards,',') if self.mode==2: print('карт в колоде:', len(self.list_coloda), 'козыри:', self.kozir) #-------------------------------------------------------------------------------------------------------------- for i in range(179): print('\033[31m*', end='') print('*\033[0m') #-------------------------------------------------------------------------------------------------------------- def bito(self,x,y): self.list_bito.append(x) self.list_bito.append(y) self.list_bito.sort() def dobor(self): if len(self.list_coloda) > 0 and len(self.player_1_cards) < 6: self.next_card = self.list_coloda[0] self.list_coloda.remove(self.next_card) self.player_1_cards.append(self.next_card) #---------------------------------------------------------------------------------------------------------- tuple_g1 = self.next_card self.g1c.append(tuple_g1[0]-4) if tuple_g1[1] == 'c': self.g1s.append(4) if tuple_g1[1] == 'b': self.g1s.append(3) if tuple_g1[1] == 'k': self.g1s.append(2) if tuple_g1[1] == 'p': self.g1s.append(5) #---------------------------------------------------------------------------------------------------------- name1=self.n1 gmr1c=self.g1c gmr1s=self.g1s name2=self.n2 gmr2c=self.g2c gmr2s=self.g2s dsc_c=self.d_c dsc_s=self.d_s cld_n=len(self.list_coloda) x=Game_fool_card_desc(name1, gmr1c, gmr1s, name2, gmr2c, gmr2s, dsc_c, dsc_s, cld_n) x.blk_chk() x.Dsc_img() #---------------------------------------------------------------------------------------------------------- #------------------------------------------------------------------------------------------------------------ if self.mode==2: print('первый игрок взял карту из колоды {}, в колоде {} карт'.format(self.next_card, len(self.list_coloda))) #---------------------------------------------------------------------------------------------------------- for i in range(179): print('\033[31m*', end='') print('*\033[0m') #---------------------------------------------------------------------------------------------------------- if len(self.list_coloda) > 0 and len(self.player_2_cards) < 6: self.next_card = self.list_coloda[0] self.list_coloda.remove(self.next_card) self.player_2_cards.append(self.next_card) #---------------------------------------------------------------------------------------------------------- tuple_g2 = self.next_card self.g2c.append(tuple_g2[0]-4) if tuple_g2[1] == 'c': self.g2s.append(4) if tuple_g2[1] == 'b': self.g2s.append(3) if tuple_g2[1] == 'k': self.g2s.append(2) if tuple_g2[1] == 'p': self.g2s.append(5) #---------------------------------------------------------------------------------------------------------- name1=self.n1 gmr1c=self.g1c gmr1s=self.g1s name2=self.n2 gmr2c=self.g2c gmr2s=self.g2s dsc_c=self.d_c dsc_s=self.d_s cld_n=len(self.list_coloda) x=Game_fool_card_desc(name1, gmr1c, gmr1s, name2, gmr2c, gmr2s, dsc_c, dsc_s, cld_n) x.blk_chk() x.Dsc_img() #---------------------------------------------------------------------------------------------------------- #------------------------------------------------------------------------------------------------------------ if self.mode==2: print('второй игрок взял карту из колоды {}, в колоде {} карт'.format(self.next_card, len(self.list_coloda))) #------------------------------------------------------------------------------------------------------------ for i in range(179): print('\033[31m*', end='') print('*\033[0m') #---------------------------------------------------------------------------------------------------------- self.player_1_cards.sort() self.player_2_cards.sort() self.turn_cards_player_1_not_kozir = [x for x in self.player_1_cards if x[1] != self.kozir] self.turn_cards_player_1_not_kozir.sort() self.turn_cards_player_1_kozir = [x for x in self.player_1_cards if x[1] == self.kozir] self.turn_cards_player_1_kozir.sort() self.turn_cards_player_2_not_kozir = [x for x in self.player_2_cards if x[1] != self.kozir] self.turn_cards_player_2_not_kozir.sort() self.turn_cards_player_2_kozir = [x for x in self.player_2_cards if x[1] == self.kozir] self.turn_cards_player_2_kozir.sort() def turn_cards(self): w = 0 for i in range(1,self.turn_num): if w == 0: self.dobor() if len(self.turn_cards_player_1_not_kozir)>0 : turn_cards_player_1 = self.turn_cards_player_1_not_kozir[0] else: turn_cards_player_1 = self.turn_cards_player_1_kozir[0] turn_cards_player_1_suit = turn_cards_player_1[1] turn_cards_player_1_digit = turn_cards_player_1[0] #------------------------------------------------------------------------------------------------------ tuple_g1=() for m in range(len(self.g1c)): if self.g1s[m]==4: tuple_g1 =(self.g1c[m]+4, 'c') if self.g1s[m]==3: tuple_g1 =(self.g1c[m]+4, 'b') if self.g1s[m]==2: tuple_g1 =(self.g1c[m]+4, 'k') if self.g1s[m]==5: tuple_g1 =(self.g1c[m]+4, 'p') if tuple_g1 == turn_cards_player_1: self.ln_d=len(self.d_c)-2 for p in range(5,self.ln_d): if self.d_c[p] ==0 and self.d_s[p] ==0: del self.d_c[p] self.d_c.insert(p,m) name1=self.n1 gmr1c=self.g1c gmr1s=self.g1s name2=self.n2 gmr2c=self.g2c gmr2s=self.g2s dsc_c=self.d_c dsc_s=self.d_s cld_n=len(self.list_coloda) x=Game_fool_card_desc(name1, gmr1c, gmr1s, name2, gmr2c, gmr2s, dsc_c, dsc_s, cld_n) x.blk_chk() x.Dsc_img() break break #------------------------------------------------------------------------------------------------------ #------------------------------------------------------------------------------------------------------ if self.mode==2: print('ход первого игрока:', turn_cards_player_1) #------------------------------------------------------------------------------------------------------ for i in range(179): print('\033[31m*', end='') print('*\033[0m') #------------------------------------------------------------------------------------------------------ list_cards_player_2_suit = [x for x in self.player_2_cards if x[1] == turn_cards_player_1_suit] list_cards_player_2_suit_higher = [x for x in list_cards_player_2_suit if x[0] > turn_cards_player_1_digit] if len(list_cards_player_2_suit_higher) + len(self.turn_cards_player_2_kozir) == 0: self.player_2_cards.append(turn_cards_player_1) #------------------------------------------------------------------------------------------------------ self.ln_d=len(self.d_s)-1 for m in range(5,self.ln_d): if self.d_c[m]!=0: self.g2c.append(self.g1c[self.d_c[m]]) self.g2s.append(self.g1s[self.d_c[m]]) del self.g1c[self.d_c[m]] del self.g1s[self.d_c[m]] del self.d_c[m] del self.d_s[m] self.d_c.insert(m,0) self.d_s.insert(m,0) m=5 name1=self.n1 gmr1c=self.g1c gmr1s=self.g1s name2=self.n2 gmr2c=self.g2c gmr2s=self.g2s dsc_c=self.d_c dsc_s=self.d_s cld_n=len(self.list_coloda) x=Game_fool_card_desc(name1, gmr1c, gmr1s, name2, gmr2c, gmr2s, dsc_c, dsc_s, cld_n) x.blk_chk() x.Dsc_img() #-------------------------------------------------------------------------------------------------- #-------------------------------------------------------------------------------------------------- if self.mode==2: print('второй игрок взял') #-------------------------------------------------------------------------------------------------- for i in range(179): print('\033[31m*', end='') print('*\033[0m') #-------------------------------------------------------------------------------------------------- self.player_1_cards.remove(turn_cards_player_1) self.dobor() w = 0 elif turn_cards_player_1_suit == self.kozir and turn_cards_player_1[0] > self.turn_cards_player_2_kozir[-1][0]: self.player_2_cards.append(turn_cards_player_1) #-------------------------------------------------------------------------------------------------- self.ln_d=len(self.d_s)-1 for m in range(5,self.ln_d): if self.d_c[m]!=0: self.g2c.append(self.g1c[self.d_c[m]]) self.g2s.append(self.g1s[self.d_c[m]]) del self.g1c[self.d_c[m]] del self.g1s[self.d_c[m]] del self.d_c[m] del self.d_s[m] self.d_c.insert(m,0) self.d_s.insert(m,0) m=5 name1=self.n1 gmr1c=self.g1c gmr1s=self.g1s name2=self.n2 gmr2c=self.g2c gmr2s=self.g2s dsc_c=self.d_c dsc_s=self.d_s cld_n=len(self.list_coloda) x=Game_fool_card_desc(name1, gmr1c, gmr1s, name2, gmr2c, gmr2s, dsc_c, dsc_s, cld_n) x.blk_chk() x.Dsc_img() #-------------------------------------------------------------------------------------------------- #-------------------------------------------------------------------------------------------------- if self.mode==2: print('второй игрок взял') self.player_1_cards.remove(turn_cards_player_1) self.dobor() w = 0 elif turn_cards_player_1_suit == self.kozir and turn_cards_player_1[0] < self.turn_cards_player_2_kozir[-1][0]: #if self.mode==2: print('ход второго игрока:', self.turn_cards_player_2_kozir[-1]) #---2020_04_17----------------------------------------------- if self.mode==2: print('введите номер козырной карты: 0,1,2,3,4....') # self.turn_cards_player_2_kozir[-1] #self.m = 7 self.m = len(self.turn_cards_player_2_kozir)-1 if self.m > (len(self.turn_cards_player_2_kozir)): #turn_cards_player_2 = self.turn_cards_player_2_kozir[self.m] turn_cards_player_2 = self.turn_cards_player_2_kozir[-1] #raise Exception (ValueError) elif self.m <= (len(self.turn_cards_player_2_kozir) - 1): if self.mode==2: print('ok, играем без смены козырей') #---------------------------------------------------------------------------------------------- for i in range(179): print('\033[31m*', end='') print('*\033[0m') #---------------------------------------------------------------------------------------------- turn_cards_player_2 = self.turn_cards_player_2_kozir[self.m] #---2020_04_17----------------------------------------------- #-------------------------------------------------------------------------------------------------- tuple_g2=() for m in range(len(self.g2c)): if self.g2s[m]==4: tuple_g2 =(self.g2c[m]+4, 'c') if self.g2s[m]==3: tuple_g2 =(self.g2c[m]+4, 'b') if self.g2s[m]==2: tuple_g2 =(self.g2c[m]+4, 'k') if self.g2s[m]==5: tuple_g2 =(self.g2c[m]+4, 'p') if turn_cards_player_2 == tuple_g2: for p in range(5,len(self.d_s)-1): if self.d_c[p] ==0 and self.d_s[p] ==0: del self.d_s[p] self.d_s.insert(p,m) name1=self.n1 gmr1c=self.g1c gmr1s=self.g1s name2=self.n2 gmr2c=self.g2c gmr2s=self.g2s dsc_c=self.d_c dsc_s=self.d_s cld_n=len(self.list_coloda) x=Game_fool_card_desc(name1, gmr1c, gmr1s, name2, gmr2c, gmr2s, dsc_c, dsc_s, cld_n) x.blk_chk() x.Dsc_img() break break #-------------------------------------------------------------------------------------------------- if self.mode==2: print('ход второго игрока:', turn_cards_player_2) #-------------------------------------------------------------------------------------------------- for i in range(179): print('\033[31m*', end='') print('*\033[0m') #-------------------------------------------------------------------------------------------------- self.player_1_cards.remove(turn_cards_player_1) self.player_2_cards.remove(turn_cards_player_2) self.bito(turn_cards_player_1,turn_cards_player_2) #-------------------------------------------------------------------------------------------------- bito_g1=[] bito_g2=[] self.ln_d=len(self.d_c)-2 for m in range(self.ln_d,4,-1): if self.d_c[m]!=0: bito_g1.append(self.d_c[m]) del self.d_c[m] self.d_c.insert(m,0) if self.d_s[m]!=0: bito_g2.append(self.d_s[m]) del self.d_s[m] self.d_s.insert(m,0) self.ln_d=len(bito_g1) for m in range(self.ln_d): del self.g1c[bito_g1[m]] del self.g1s[bito_g1[m]] if bito_g1[m]==2: self.g1c.insert(2,0) self.g1s.insert(2,0) self.ln_d=len(bito_g2) for m in range(self.ln_d): del self.g2c[bito_g2[m]] del self.g2s[bito_g2[m]] if bito_g2[m]==2: self.g2c.insert(2,0) self.g2s.insert(2,0) self.ln_d=(len(self.d_c)-1) del self.d_c[self.ln_d] del self.d_s[self.ln_d] self.d_c.append(1) self.d_s.append(1) name1=self.n1 gmr1c=self.g1c gmr1s=self.g1s name2=self.n2 gmr2c=self.g2c gmr2s=self.g2s dsc_c=self.d_c dsc_s=self.d_s cld_n=len(self.list_coloda) x=Game_fool_card_desc(name1, gmr1c, gmr1s, name2, gmr2c, gmr2s, dsc_c, dsc_s, cld_n) x.blk_chk() x.Dsc_img() #-------------------------------------------------------------------------------------------------- if self.mode==2: print('бито') #-------------------------------------------------------------------------------------------------- for i in range(179): print('\033[31m*', end='') print('*\033[0m') #-------------------------------------------------------------------------------------------------- self.dobor() w = 1 elif len(list_cards_player_2_suit_higher) == 0 and len(self.turn_cards_player_2_kozir) > 0: #-------------------------------------------------------------------------------------------------- tuple_g2=() for m in range(len(self.g2c)): if self.g2s[m]==4: tuple_g2 =(self.g2c[m]+4, 'c') if self.g2s[m]==3: tuple_g2 =(self.g2c[m]+4, 'b') if self.g2s[m]==2: tuple_g2 =(self.g2c[m]+4, 'k') if self.g2s[m]==5: tuple_g2 =(self.g2c[m]+4, 'p') if self.turn_cards_player_2_kozir[0] == tuple_g2: for p in range(5,len(self.d_s)-1): if self.d_c[p] ==0 and self.d_s[p] ==0: del self.d_s[p] self.d_s.insert(p,m) name1=self.n1 gmr1c=self.g1c gmr1s=self.g1s name2=self.n2 gmr2c=self.g2c gmr2s=self.g2s dsc_c=self.d_c dsc_s=self.d_s cld_n=len(self.list_coloda) x=Game_fool_card_desc(name1, gmr1c, gmr1s, name2, gmr2c, gmr2s, dsc_c, dsc_s, cld_n) x.blk_chk() x.Dsc_img() break break #-------------------------------------------------------------------------------------------------- if self.mode==2: print('ход второго игрока:', self.turn_cards_player_2_kozir[0]) #-------------------------------------------------------------------------------------------------- for i in range(179): print('\033[31m*', end='') print('*\033[0m') #-------------------------------------------------------------------------------------------------- turn_cards_player_2 = self.turn_cards_player_2_kozir[0] self.player_1_cards.remove(turn_cards_player_1) self.player_2_cards.remove(turn_cards_player_2) self.bito(turn_cards_player_1, turn_cards_player_2) #-------------------------------------------------------------------------------------------------- bito_g1=[] bito_g2=[] self.ln_d=len(self.d_c)-2 # удаляется метка картоместа изображения "боя" for m in range(self.ln_d,4,-1): if self.d_c[m]!=0: bito_g1.append(self.d_c[m]) del self.d_c[m] self.d_c.insert(m,0) if self.d_s[m]!=0: bito_g2.append(self.d_s[m]) del self.d_s[m] self.d_s.insert(m,0) #--------------------------------------------- self.ln_d=len(bito_g1) if self.ln_d!=0: for m in range(self.ln_d): del self.g1c[bito_g1[m]] del self.g1s[bito_g1[m]] if bito_g1[m]==2: self.g1c.insert(2,0) self.g1s.insert(2,0) self.ln_d=len(bito_g2) for m in range(self.ln_d): del self.g2c[bito_g2[m]] del self.g2s[bito_g2[m]] if bito_g2[m]==2: self.g2c.insert(2,0) self.g2s.insert(2,0) # ---- удаляется и устанавливается метка картоместа изображения "бито" self.ln_d=(len(self.d_c)-1) del self.d_c[self.ln_d] del self.d_s[self.ln_d] self.d_c.append(1) self.d_s.append(1) #--------------------------------------------------------------------- name1=self.n1 gmr1c=self.g1c gmr1s=self.g1s name2=self.n2 gmr2c=self.g2c gmr2s=self.g2s dsc_c=self.d_c dsc_s=self.d_s cld_n=len(self.list_coloda) x=Game_fool_card_desc(name1, gmr1c, gmr1s, name2, gmr2c, gmr2s, dsc_c, dsc_s, cld_n) x.blk_chk() x.Dsc_img() #-------------------------------------------------------------------------------------------------- if self.mode==2: print('бито') #-------------------------------------------------------------------------------------------------- for i in range(179): print('\033[31m*', end='') print('*\033[0m') #-------------------------------------------------------------------------------------------------- self.dobor() w = 1 else: #-------------------------------------------------------------------------------------------------- tuple_g2=() for m in range(len(self.g2c)): if self.g2s[m]==4: tuple_g2 =(self.g2c[m]+4, 'c') if self.g2s[m]==3: tuple_g2 =(self.g2c[m]+4, 'b') if self.g2s[m]==2: tuple_g2 =(self.g2c[m]+4, 'k') if self.g2s[m]==5: tuple_g2 =(self.g2c[m]+4, 'p') if list_cards_player_2_suit_higher[0] == tuple_g2: for p in range(5,len(self.d_s)-1): if self.d_c[p] ==0 and self.d_s[p] ==0: del self.d_s[p] self.d_s.insert(p,m) name1=self.n1 gmr1c=self.g1c gmr1s=self.g1s name2=self.n2 gmr2c=self.g2c gmr2s=self.g2s dsc_c=self.d_c dsc_s=self.d_s cld_n=len(self.list_coloda) x=Game_fool_card_desc(name1, gmr1c, gmr1s, name2, gmr2c, gmr2s, dsc_c, dsc_s, cld_n) x.blk_chk() x.Dsc_img() break break #-------------------------------------------------------------------------------------------------- if self.mode==2: print('ход второго игрока:', list_cards_player_2_suit_higher[0]) #-------------------------------------------------------------------------------------------------- for i in range(179): print('\033[31m*', end='') print('*\033[0m') #-------------------------------------------------------------------------------------------------- turn_cards_player_2 = list_cards_player_2_suit_higher[0] self.player_1_cards.remove(turn_cards_player_1) self.player_2_cards.remove(turn_cards_player_2) self.bito(turn_cards_player_1, turn_cards_player_2) #-------------------------------------------------------------------------------------------------- bito_g1=[] bito_g2=[] self.ln_d=len(self.d_c)-2 for m in range(self.ln_d,4,-1): if self.d_c[m]!=0: bito_g1.append(self.d_c[m]) del self.d_c[m] self.d_c.insert(m,0) if self.d_s[m]!=0: bito_g2.append(self.d_s[m]) del self.d_s[m] self.d_s.insert(m,0) self.ln_d=len(bito_g1) if self.ln_d!=0: for m in range(self.ln_d): del self.g1c[bito_g1[m]] del self.g1s[bito_g1[m]] if bito_g1[m]==2: self.g1c.insert(2,0) self.g1s.insert(2,0) self.ln_d=len(bito_g2) for m in range(self.ln_d): del self.g2c[bito_g2[m]] del self.g2s[bito_g2[m]] if bito_g2[m]==2: self.g2c.insert(2,0) self.g2s.insert(2,0) self.ln_d=(len(self.d_c)-1) del self.d_c[self.ln_d] del self.d_s[self.ln_d] self.d_c.append(1) self.d_s.append(1) name1=self.n1 gmr1c=self.g1c gmr1s=self.g1s name2=self.n2 gmr2c=self.g2c gmr2s=self.g2s dsc_c=self.d_c dsc_s=self.d_s cld_n=len(self.list_coloda) x=Game_fool_card_desc(name1, gmr1c, gmr1s, name2, gmr2c, gmr2s, dsc_c, dsc_s, cld_n) x.blk_chk() x.Dsc_img() #-------------------------------------------------------------------------------------------------- if self.mode==2: print('бито') #-------------------------------------------------------------------------------------------------- for i in range(179): print('\033[31m*', end='') print('*\033[0m') #-------------------------------------------------------------------------------------------------- self.dobor() w = 1 if self.mode==2: print('карты 1-го игрока после {} хода:'.format(i), len(self.player_1_cards), self.player_1_cards) if self.mode==2: print('карты 2-го игрока после {} хода:'.format(i), len(self.player_2_cards), self.player_2_cards) #------------------------------------------------------------------------------------------------------ for i in range(179): print('\033[31m*', end='') print('*\033[0m') #------------------------------------------------------------------------------------------------------ if w == 1: self.dobor() if len(self.turn_cards_player_2_not_kozir)>0 : turn_cards_player_2 = self.turn_cards_player_2_not_kozir[0] else: turn_cards_player_2 = self.turn_cards_player_2_kozir[0] turn_cards_player_2_suit = turn_cards_player_2[1] turn_cards_player_2_digit = turn_cards_player_2[0] #------------------------------------------------------------------------------------------------------ tuple_g2=() for m in range(len(self.g2c)): if self.g2s[m]==4: tuple_g2 =(self.g2c[m]+4, 'c') if self.g2s[m]==3: tuple_g2 =(self.g2c[m]+4, 'b') if self.g2s[m]==2: tuple_g2 =(self.g2c[m]+4, 'k') if self.g2s[m]==5: tuple_g2 =(self.g2c[m]+4, 'p') if turn_cards_player_2 == tuple_g2: for p in range(5,len(self.d_s)-1): if self.d_c[p] ==0 and self.d_s[p] ==0: del self.d_s[p] self.d_s.insert(p,m) name1=self.n1 gmr1c=self.g1c gmr1s=self.g1s name2=self.n2 gmr2c=self.g2c gmr2s=self.g2s dsc_c=self.d_c dsc_s=self.d_s cld_n=len(self.list_coloda) x=Game_fool_card_desc(name1, gmr1c, gmr1s, name2, gmr2c, gmr2s, dsc_c, dsc_s, cld_n) x.blk_chk() x.Dsc_img() break break #------------------------------------------------------------------------------------------------------ if self.mode==2: print('ход второго игрока:', turn_cards_player_2) #------------------------------------------------------------------------------------------------------ for i in range(179): print('\033[31m*', end='') print('*\033[0m') #------------------------------------------------------------------------------------------------------ list_cards_player_1_suit = [x for x in self.player_1_cards if x[1] == turn_cards_player_2_suit] list_cards_player_1_suit_higher = [x for x in list_cards_player_1_suit if x[0] > turn_cards_player_2_digit] if len(list_cards_player_1_suit_higher) + len(self.turn_cards_player_1_kozir) == 0: self.player_1_cards.append(turn_cards_player_2) self.player_2_cards.remove(turn_cards_player_2) #-------------------------------------------------------------------------------------------------- self.ln_d=len(self.d_s)-1 for m in range(5,self.ln_d): if self.d_s[m]!=0: self.g1c.append(self.g2c[self.d_s[m]]) self.g1s.append(self.g2s[self.d_s[m]]) del self.g2c[self.d_s[m]] del self.g2s[self.d_s[m]] del self.d_c[m] del self.d_s[m] self.d_c.insert(m,0) self.d_s.insert(m,0) m=5 name1=self.n1 gmr1c=self.g1c gmr1s=self.g1s name2=self.n2 gmr2c=self.g2c gmr2s=self.g2s dsc_c=self.d_c dsc_s=self.d_s cld_n=len(self.list_coloda) x=Game_fool_card_desc(name1, gmr1c, gmr1s, name2, gmr2c, gmr2s, dsc_c, dsc_s, cld_n) x.blk_chk() x.Dsc_img() #-------------------------------------------------------------------------------------------------- #-------------------------------------------------------------------------------------------------- if self.mode==2: print('первый игрок взял') #-------------------------------------------------------------------------------------------------- for i in range(179): print('\033[31m*', end='') print('*\033[0m') #-------------------------------------------------------------------------------------------------- self.dobor() w = 1 elif turn_cards_player_2_suit == self.kozir and turn_cards_player_2[0] > self.turn_cards_player_1_kozir[-1][0]: self.player_1_cards.append(turn_cards_player_2) self.player_2_cards.remove(turn_cards_player_2) #-------------------------------------------------------------------------------------------------- self.ln_d=len(self.d_s)-1 for m in range(5,self.ln_d): if self.d_s[m]!=0: self.g1c.append(self.g2c[self.d_s[m]]) self.g1s.append(self.g2s[self.d_s[m]]) del self.g2c[self.d_s[m]] del self.g2s[self.d_s[m]] del self.d_c[m] del self.d_s[m] self.d_c.insert(m,0) self.d_s.insert(m,0) m=5 name1=self.n1 gmr1c=self.g1c gmr1s=self.g1s name2=self.n2 gmr2c=self.g2c gmr2s=self.g2s dsc_c=self.d_c dsc_s=self.d_s cld_n=len(self.list_coloda) x=Game_fool_card_desc(name1, gmr1c, gmr1s, name2, gmr2c, gmr2s, dsc_c, dsc_s, cld_n) x.blk_chk() x.Dsc_img() #-------------------------------------------------------------------------------------------------- #-------------------------------------------------------------------------------------------------- if self.mode==2: print('первый игрок взял') #-------------------------------------------------------------------------------------------------- for i in range(179): print('\033[31m*', end='') print('*\033[0m') #-------------------------------------------------------------------------------------------------- self.dobor() w = 1 elif turn_cards_player_2_suit == self.kozir and turn_cards_player_2[0] < self.turn_cards_player_1_kozir[-1][0]: #-------------------------------------------------------------------------------------------------- tuple_g1=() for m in range(len(self.g1c)): if self.g1s[m]==4: tuple_g1 =(self.g1c[m]+4, 'c') if self.g1s[m]==3: tuple_g1 =(self.g1c[m]+4, 'b') if self.g1s[m]==2: tuple_g1 =(self.g1c[m]+4, 'k') if self.g1s[m]==5: tuple_g1 =(self.g1c[m]+4, 'p') if tuple_g1==self.turn_cards_player_1_kozir[-1]: self.ln_d=len(self.d_c)-2 for p in range(5,self.ln_d): if self.d_c[p] ==0 and self.d_s[p] ==0: del self.d_c[p] self.d_c.insert(p,m) name1=self.n1 gmr1c=self.g1c gmr1s=self.g1s name2=self.n2 gmr2c=self.g2c gmr2s=self.g2s dsc_c=self.d_c dsc_s=self.d_s cld_n=len(self.list_coloda) x=Game_fool_card_desc(name1, gmr1c, gmr1s, name2, gmr2c, gmr2s, dsc_c, dsc_s, cld_n) x.blk_chk() x.Dsc_img() break break #---------------------------------------------------------------------------------------------- #-------------------------------------------------------------------------------------------------- if self.mode==2: print('ход первого игрока:', self.turn_cards_player_1_kozir[-1]) #-------------------------------------------------------------------------------------------------- for i in range(179): print('\033[31m*', end='') print('*\033[0m') #-------------------------------------------------------------------------------------------------- turn_cards_player_1 = self.turn_cards_player_1_kozir[-1] self.player_1_cards.remove(turn_cards_player_1) self.player_2_cards.remove(turn_cards_player_2) self.bito(turn_cards_player_1, turn_cards_player_2) #-------------------------------------------------------------------------------------------------- bito_g1=[] bito_g2=[] self.ln_d=len(self.d_c)-2 for m in range(self.ln_d,4,-1): if self.d_c[m]!=0: bito_g1.append(self.d_c[m]) del self.d_c[m] self.d_c.insert(m,0) if self.d_s[m]!=0: bito_g2.append(self.d_s[m]) del self.d_s[m] self.d_s.insert(m,0) self.ln_d=len(bito_g1) if self.ln_d!=0: for m in range(self.ln_d): del self.g1c[bito_g1[m]] del self.g1s[bito_g1[m]] if bito_g1[m]==2: self.g1c.insert(2,0) self.g1s.insert(2,0) self.ln_d=len(bito_g2) for m in range(self.ln_d): del self.g2c[bito_g2[m]] del self.g2s[bito_g2[m]] if bito_g2[m]==2: self.g2c.insert(2,0) self.g2s.insert(2,0) self.ln_d=(len(self.d_c)-1) del self.d_c[self.ln_d] del self.d_s[self.ln_d] self.d_c.append(1) self.d_s.append(1) name1=self.n1 gmr1c=self.g1c gmr1s=self.g1s name2=self.n2 gmr2c=self.g2c gmr2s=self.g2s dsc_c=self.d_c dsc_s=self.d_s cld_n=len(self.list_coloda) x=Game_fool_card_desc(name1, gmr1c, gmr1s, name2, gmr2c, gmr2s, dsc_c, dsc_s, cld_n) x.blk_chk() x.Dsc_img() #-------------------------------------------------------------------------------------------------- if self.mode==2: print('бито') #-------------------------------------------------------------------------------------------------- for i in range(179): print('\033[31m*', end='') print('*\033[0m') #-------------------------------------------------------------------------------------------------- self.dobor() w = 0 elif len(list_cards_player_1_suit_higher) == 0 and len(self.turn_cards_player_1_kozir) > 0: #-------------------------------------------------------------------------------------------------- tuple_g1=() for m in range(len(self.g1c)): if self.g1s[m]==4: tuple_g1 =(self.g1c[m]+4, 'c') if self.g1s[m]==3: tuple_g1 =(self.g1c[m]+4, 'b') if self.g1s[m]==2: tuple_g1 =(self.g1c[m]+4, 'k') if self.g1s[m]==5: tuple_g1 =(self.g1c[m]+4, 'p') if tuple_g1 == self.turn_cards_player_1_kozir[0]: self.ln_d=len(self.d_c)-2 for p in range(5,self.ln_d): if self.d_c[p] ==0 and self.d_s[p] ==0: del self.d_c[p] self.d_c.insert(p,m) name1=self.n1 gmr1c=self.g1c gmr1s=self.g1s name2=self.n2 gmr2c=self.g2c gmr2s=self.g2s dsc_c=self.d_c dsc_s=self.d_s cld_n=len(self.list_coloda) x=Game_fool_card_desc(name1, gmr1c, gmr1s, name2, gmr2c, gmr2s, dsc_c, dsc_s, cld_n) x.blk_chk() x.Dsc_img() break break #---------------------------------------------------------------------------------------------- #-------------------------------------------------------------------------------------------------- if self.mode==2: print('ход первого игрока:', self.turn_cards_player_1_kozir[0]) #-------------------------------------------------------------------------------------------------- for i in range(179): print('\033[31m*', end='') print('*\033[0m') #-------------------------------------------------------------------------------------------------- turn_cards_player_1 = self.turn_cards_player_1_kozir[0] self.player_1_cards.remove(turn_cards_player_1) self.player_2_cards.remove(turn_cards_player_2) self.bito(turn_cards_player_1, turn_cards_player_2) #-------------------------------------------------------------------------------------------------- bito_g1=[] bito_g2=[] self.ln_d=len(self.d_c)-2 for m in range(self.ln_d,4,-1): if self.d_c[m]!=0: bito_g1.append(self.d_c[m]) del self.d_c[m] self.d_c.insert(m,0) if self.d_s[m]!=0: bito_g2.append(self.d_s[m]) del self.d_s[m] self.d_s.insert(m,0) self.ln_d=len(bito_g1) if self.ln_d!=0: for m in range(self.ln_d): del self.g1c[bito_g1[m]] del self.g1s[bito_g1[m]] if bito_g1[m]==2: self.g1c.insert(2,0) self.g1s.insert(2,0) self.ln_d=len(bito_g2) for m in range(self.ln_d): del self.g2c[bito_g2[m]] del self.g2s[bito_g2[m]] if bito_g2[m]==2: self.g2c.insert(2,0) self.g2s.insert(2,0) self.ln_d=(len(self.d_c)-1) del self.d_c[self.ln_d] del self.d_s[self.ln_d] self.d_c.append(1) self.d_s.append(1) name1=self.n1 gmr1c=self.g1c gmr1s=self.g1s name2=self.n2 gmr2c=self.g2c gmr2s=self.g2s dsc_c=self.d_c dsc_s=self.d_s cld_n=len(self.list_coloda) x=Game_fool_card_desc(name1, gmr1c, gmr1s, name2, gmr2c, gmr2s, dsc_c, dsc_s, cld_n) x.blk_chk() x.Dsc_img() #-------------------------------------------------------------------------------------------------- if self.mode==2: print('бито') #-------------------------------------------------------------------------------------------------- for i in range(179): print('\033[31m*', end='') print('*\033[0m') #-------------------------------------------------------------------------------------------------- self.dobor() w = 0 else: #-------------------------------------------------------------------------------------------------- tuple_g1=() for m in range(len(self.g1c)): if self.g1s[m]==4: tuple_g1 =(self.g1c[m]+4, 'c') if self.g1s[m]==3: tuple_g1 =(self.g1c[m]+4, 'b') if self.g1s[m]==2: tuple_g1 =(self.g1c[m]+4, 'k') if self.g1s[m]==5: tuple_g1 =(self.g1c[m]+4, 'p') if tuple_g1 == list_cards_player_1_suit_higher[0]: self.ln_d=len(self.d_c)-2 for p in range(5,self.ln_d): if self.d_c[p] ==0 and self.d_s[p] ==0: del self.d_c[p] self.d_c.insert(p,m) name1=self.n1 gmr1c=self.g1c gmr1s=self.g1s name2=self.n2 gmr2c=self.g2c gmr2s=self.g2s dsc_c=self.d_c dsc_s=self.d_s cld_n=len(self.list_coloda) x=Game_fool_card_desc(name1, gmr1c, gmr1s, name2, gmr2c, gmr2s, dsc_c, dsc_s, cld_n) x.blk_chk() x.Dsc_img() break break #---------------------------------------------------------------------------------------------- #-------------------------------------------------------------------------------------------------- if self.mode==2: print('ход первого игрока:', list_cards_player_1_suit_higher[0]) #-------------------------------------------------------------------------------------------------- for i in range(179): print('\033[31m*', end='') print('*\033[0m') #-------------------------------------------------------------------------------------------------- turn_cards_player_1 = list_cards_player_1_suit_higher[0] self.player_1_cards.remove(turn_cards_player_1) self.player_2_cards.remove(turn_cards_player_2) self.bito(turn_cards_player_1, turn_cards_player_2) #-------------------------------------------------------------------------------------------------- bito_g1=[] bito_g2=[] self.ln_d=len(self.d_c)-2 for m in range(self.ln_d,4,-1): if self.d_c[m]!=0: bito_g1.append(self.d_c[m]) del self.d_c[m] self.d_c.insert(m,0) if self.d_s[m]!=0: bito_g2.append(self.d_s[m]) del self.d_s[m] self.d_s.insert(m,0) self.ln_d=len(bito_g1) if self.ln_d!=0: for m in range(self.ln_d): del self.g1c[bito_g1[m]] del self.g1s[bito_g1[m]] if bito_g1[m]==2: self.g1c.insert(2,0) self.g1s.insert(2,0) self.ln_d=len(bito_g2) for m in range(self.ln_d): del self.g2c[bito_g2[m]] del self.g2s[bito_g2[m]] if bito_g2[m]==2: self.g2c.insert(2,0) self.g2s.insert(2,0) self.ln_d=(len(self.d_c)-1) del self.d_c[self.ln_d] del self.d_s[self.ln_d] self.d_c.append(1) self.d_s.append(1) name1=self.n1 gmr1c=self.g1c gmr1s=self.g1s name2=self.n2 gmr2c=self.g2c gmr2s=self.g2s dsc_c=self.d_c dsc_s=self.d_s cld_n=len(self.list_coloda) x=Game_fool_card_desc(name1, gmr1c, gmr1s, name2, gmr2c, gmr2s, dsc_c, dsc_s, cld_n) x.blk_chk() x.Dsc_img() #-------------------------------------------------------------------------------------------------- if self.mode==2: print('бито') #-------------------------------------------------------------------------------------------------- for i in range(179): print('\033[31m*', end='') print('*\033[0m') #-------------------------------------------------------------------------------------------------- self.dobor() w = 0 if self.mode==2: print('карты 1-го игрока после {} хода:'.format(i), len(self.player_1_cards), self.player_1_cards) if self.mode==2: print('карты 2-го игрока после {} хода:'.format(i), len(self.player_2_cards), self.player_2_cards) #------------------------------------------------------------------------------------------------------ for i in range(179): print('\033[31m*', end='') print('*\033[0m') #------------------------------------------------------------------------------------------------------ if len(self.player_1_cards) == 0 and len(self.player_2_cards) == 0: First_lst=[] # Вывод изображений игроков - ничья! (совместное фото) f = open('Image_player_first', encoding="utf8") i=0 for line in f: line = f.readline(32) First_lst.append(line) i+=1 f.close() Second_lst=[] f = open('Image_player_second', encoding="utf8") i=0 for line in f: line = f.readline(27) Second_lst.append(line) i+=1 f.close() for ii in range(i-1): print(First_lst[ii] + Second_lst[ii]) #------------------------------------------------------------------------------------------------------ for i in range(179): print('\033[31m*', end='') print('*\033[0m') #------------------------------------------------------------------------------------------------------ print('ничья') #------------------------------------------------------------------------------------------------------ for i in range(179): print('\033[31m*', end='') print('*\033[0m') #------------------------------------------------------------------------------------------------------ break elif len(self.player_1_cards) == 0: # Вывод изображения игрока 1 - победителя! f = open('Image_player_first', encoding="utf8") i=1 for line in f: print(line, end='') i+=1 f.close() #------------------------------------------------------------------------------------------------------ for i in range(179): print('\033[31m*', end='') print('*\033[0m') #------------------------------------------------------------------------------------------------------ print('1-й игрок победил') #------------------------------------------------------------------------------------------------------ for i in range(179): print('\033[31m*', end='') print('*\033[0m') #------------------------------------------------------------------------------------------------------ break elif len(self.player_2_cards) == 0: # Вывод изображения игрока 2 - победителя! f = open('Image_player_second', encoding="utf8") for line in f: print(line, end='') f.close() print() #------------------------------------------------------------------------------------------------------ for i in range(179): print('\033[31m*', end='') print('*\033[0m') #------------------------------------------------------------------------------------------------------ print('2-й игрок победил') #------------------------------------------------------------------------------------------------------ for i in range(179): print('\033[31m*', end='') print('*\033[0m') #------------------------------------------------------------------------------------------------------ break if __name__ == '__main__': mode=2 cards_game = Game_logic1_durak(25, mode) cards_game.set_players_cards() cards_game.turn_cards()

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1

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null

0

8

c0431037ed831d74983e65f840739dda7a04bb3e

7,645

py

Python

core/tests/tests_api.py

MohammadReza-Jafari/narvan

e7fc25ba3dc5d034db3ff10c13532e26894536d3

[ "MIT" ]

null

core/tests/tests_api.py

MohammadReza-Jafari/narvan

e7fc25ba3dc5d034db3ff10c13532e26894536d3

[ "MIT" ]

null

core/tests/tests_api.py

MohammadReza-Jafari/narvan

e7fc25ba3dc5d034db3ff10c13532e26894536d3

[ "MIT" ]

null

from django.test import TestCase from django.urls import reverse from rest_framework.test import APIClient FIBONACCI_URL = reverse('calculator:fibonacci') FACTORIAL_URL = reverse('calculator:factorial') ACKERMANN_url = reverse('calculator:ackermann') class FibonacciApiTest(TestCase): # testing fibonacci functionality def setUp(self): self.api_client = APIClient() def test_no_input_provided(self): payload = {} res = self.api_client.post(FIBONACCI_URL, data=payload) self.assertEqual(res.status_code, 400) self.assertEqual(res.data['n'][0], "This field is required.") def test_non_integer_value(self): payload = { 'n': 23.45 } res = self.api_client.post(FIBONACCI_URL, data=payload) self.assertEqual(res.status_code, 400) self.assertEqual(res.data['n'][0], "A valid integer is required.") def test_pass_the_limit(self): payload = { 'n': 50 } res = self.api_client.post(FIBONACCI_URL, data=payload) self.assertEqual(res.status_code, 400) self.assertEqual(res.data['n'][0], 'you should provide number less than 35') def test_negative_input(self): payload = { 'n': -23 } res = self.api_client.post(FIBONACCI_URL, data=payload) self.assertEqual(res.status_code, 400) self.assertEqual(res.data['n'][0], 'you should enter non-negative numbers.') def test_success(self): payload = { 'n': 14 } res = self.api_client.post(FIBONACCI_URL, data=payload) self.assertEqual(res.status_code, 200) self.assertEqual(res.data['success'], True) self.assertEqual(res.data['result'], 377) class FactorialApiTest(TestCase): # testing factorial functionality def setUp(self): self.api_client = APIClient() def test_no_input_provided(self): payload = {} res = self.api_client.post(FACTORIAL_URL, data=payload) self.assertEqual(res.status_code, 400) self.assertEqual(res.data['n'][0], "This field is required.") def test_non_integer_value(self): payload = { 'n': 23.45 } res = self.api_client.post(FACTORIAL_URL, data=payload) self.assertEqual(res.status_code, 400) self.assertEqual(res.data['n'][0], "A valid integer is required.") def test_pass_the_limit(self): payload = { 'n': 200 } res = self.api_client.post(FACTORIAL_URL, data=payload) self.assertEqual(res.status_code, 400) self.assertEqual(res.data['n'][0], 'you should provide number less than 20') def test_negative_input(self): payload = { 'n': -23 } res = self.api_client.post(FACTORIAL_URL, data=payload) self.assertEqual(res.status_code, 400) self.assertEqual(res.data['n'][0], 'you should enter non-negative numbers.') def test_success(self): payload = { 'n': 7 } res = self.api_client.post(FACTORIAL_URL, data=payload) self.assertEqual(res.status_code, 200) self.assertEqual(res.data['success'], True) self.assertEqual(res.data['result'], 5040) class AckermannApiTest(TestCase): # testing ackermann functionality def setUp(self): self.api_client = APIClient() def test_no_input_provided(self): payload = {} res = self.api_client.post(ACKERMANN_url, data=payload) self.assertEqual(res.status_code, 400) self.assertEqual(res.data['n'][0], "This field is required.") self.assertEqual(res.data['m'][0], "This field is required.") def test_m_not_provided(self): payload = { 'n': 23 } res = self.api_client.post(ACKERMANN_url, data=payload) self.assertEqual(res.status_code, 400) self.assertEqual(res.data['m'][0], "This field is required.") def test_n_not_provided(self): payload = { 'm': 3 } res = self.api_client.post(ACKERMANN_url, data=payload) self.assertEqual(res.status_code, 400) self.assertEqual(res.data['n'][0], "This field is required.") def test_non_integer_values(self): payload = { 'n': 23.45, 'm' : 1.5 } res = self.api_client.post(ACKERMANN_url, data=payload) self.assertEqual(res.status_code, 400) self.assertEqual(res.data['n'][0], "A valid integer is required.") self.assertEqual(res.data['m'][0], "A valid integer is required.") def test_pass_the_limit1(self): payload = { 'n': 10000000, 'm': 2 } res = self.api_client.post(ACKERMANN_url, data=payload) self.assertEqual(res.status_code, 400) self.assertEqual(res.data['n'][0], 'you should provide value for n less than 100000') def test_pass_the_limit2(self): payload = { 'n': 10000, 'm': 7 } res = self.api_client.post(ACKERMANN_url, data=payload) self.assertEqual(res.status_code, 400) self.assertEqual(res.data['m'][0], 'you should provide value for m less than 4') def test_pass_the_limit3(self): payload = { 'n': 250, 'm': 3 } res = self.api_client.post(ACKERMANN_url, data=payload) self.assertEqual(res.status_code, 400) self.assertEqual( res.data['non_field_errors'][0], 'With m=3 you could choose value for n between 0 and 60' ) def test_pass_the_limit4(self): payload = { 'n': 250, 'm': 4 } res = self.api_client.post(ACKERMANN_url, data=payload) self.assertEqual(res.status_code, 400) self.assertEqual( res.data['non_field_errors'][0], 'With m=4 you could choose 0,1 for n' ) def test_negative_input(self): payload = { 'n': -23, 'm': -2 } res = self.api_client.post(ACKERMANN_url, data=payload) self.assertEqual(res.status_code, 400) self.assertEqual(res.data['n'][0], 'you should enter non-negative numbers.') self.assertEqual(res.data['n'][0], 'you should enter non-negative numbers.') def test_success1(self): payload = { 'm': 2, 'n': 200 } res = self.api_client.post(ACKERMANN_url, data=payload) self.assertEqual(res.status_code, 200) self.assertEqual(res.data['success'], True) self.assertEqual(res.data['result'], 403) def test_success2(self): payload = { 'm': 1, 'n': 200 } res = self.api_client.post(ACKERMANN_url, data=payload) self.assertEqual(res.status_code, 200) self.assertEqual(res.data['success'], True) self.assertEqual(res.data['result'], 202) def test_success3(self): payload = { 'm': 0, 'n': 200 } res = self.api_client.post(ACKERMANN_url, data=payload) self.assertEqual(res.status_code, 200) self.assertEqual(res.data['success'], True) self.assertEqual(res.data['result'], 201) def test_success4(self): payload = { 'm': 4, 'n': 1 } res = self.api_client.post(ACKERMANN_url, data=payload) self.assertEqual(res.status_code, 200) self.assertEqual(res.data['success'], True) self.assertEqual(res.data['result'], 65533)

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0.111229

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null

0

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c047f00c03a34b35f5269575ff5398ff40ae8ff8

16,249

py

Python

tests/conftest.py

rptrchv/agent

bd049c4cf8bcc493bce0a0dea93fe4f4444a31ef

[ "MIT" ]

null

tests/conftest.py

rptrchv/agent

bd049c4cf8bcc493bce0a0dea93fe4f4444a31ef

[ "MIT" ]

null

tests/conftest.py

rptrchv/agent

bd049c4cf8bcc493bce0a0dea93fe4f4444a31ef

[ "MIT" ]

null

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<verbose level="0"/> <debugging level="0"/> <taskprogress task="UDP Scan" time="1551806497" percent="99.99" remaining="1" etc="1551806497"/> <host starttime="1551806493" endtime="1551806497"><status state="up" reason="localhost-response" reason_ttl="0"/> <address addr="127.0.0.1" addrtype="ipv4"/> <hostnames> <hostname name="localhost" type="PTR"/> </hostnames> <ports><extraports state="closed" count="1996"> <extrareasons reason="resets" count="999"/> <extrareasons reason="port-unreaches" count="997"/> </extraports> <port protocol="tcp" portid="631"><state state="open" reason="syn-ack" reason_ttl="64"/><service name="ipp" method="table" conf="3"/></port> <port protocol="udp" portid="68"><state state="open|filtered" reason="no-response" reason_ttl="0"/><service name="dhcpc" method="table" conf="3"/></port> <port protocol="udp" portid="631"><state state="open|filtered" reason="no-response" reason_ttl="0"/><service name="ipp" method="table" conf="3"/></port> <port protocol="udp" portid="5353"><state state="open|filtered" reason="no-response" reason_ttl="0"/><service name="zeroconf" method="table" conf="3"/></port> </ports> <times srtt="32" rttvar="0" to="100000"/> </host> <runstats><finished time="1551806497" timestr="Tue Mar 5 23:21:37 2019" elapsed="4.41" summary="Nmap done at Tue Mar 5 23:21:37 2019; 1 IP address (1 host up) scanned in 4.41 seconds" exit="success"/><hosts up="1" down="0" total="1"/> </runstats> </nmaprun> """ RASPBERRY_FIXTURE = """ Hardware : BCM2708 Revision : 900092 Serial : 00000000ebd5f1e8 """ INVALID_CERT = """ -----BEGIN CERTIFICATE----- MIIC5TCCAc2gAwIBAgIJAPMjGMrzQcI/MA0GCSqGSIb3DQEBCwUAMBQxEjAQBgNV BAMMCWxvY2FsaG9zdDAeFw0xOTAzMDUyMDE5MjRaFw0xOTA0MDQyMDE5MjRaMBQx EjAQBgNVBAMMCWxvY2FsaG9zdDCCASIwDQYJKoZIhvcNAQEBBQADggEPADCCAQoC ggEBAOgfhzltW1Bx/PLve7sk228G9FeBQmTVkEwiU1tgagvIzM8fhoeDnXoMVRf5 GPWZr4h0E4BtDRQUO7NqgW+r3RQMq4nJljTV9f8Om3Owx41BM5M5w5YH75JZzcZ1 OVBmJRPOG06I3Hk/uQjCGo1YN7ZggAdUmFQqQ03GdstqQhd6UzbV2dPphq+R2npV 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UOgcQbaeG6Jav3C+Hl20cWSD/mOr0yNg+WreqQh0JqhgTYwExEjOzMuEgDECgYBD niugxx1q4bDrHxx5UIKYJhH4scJPK1GCDXkKr7dG3PKsXZRMY6Zmo2cWUZqPqT90 ClDn/qbUDxP96pLmhl9+WlSOoxaTXHdpF2yqfBTztMWa7UQLQysl0HUcnHWOSbAb lANHGzzXwER7z5zlf5CguLqA5rt7v/8bst3ZjVfFoQKBgQCFepRalYYqKUYbl6Lx y0UxgC/XRPUlsL5IANipOt8Yu2M/+RJKW1jdUJx3sUCRYBV5IpX8jqnHax+MIki5 wU3JBrpGqAAoGa/78B572+9Dmr6Bj0yAoWQ67tht87M1mQxpKv6IE4CEt8+o+5sR I9bBs17EE1GV43TaxFaOc/oUYw== -----END PRIVATE KEY----- """ CERT = """ -----BEGIN CERTIFICATE----- MIIClzCCAj2gAwIBAgIUFXu9cEa7n79yDQWNHG9nfHHiw+kwCgYIKoZIzj0EAwIw XzELMAkGA1UEBhMCVUsxDzANBgNVBAcTBkxvbmRvbjEjMCEGA1UEChMaV2ViIG9m IFRydXN0ZWQgVGhpbmdzLCBMdGQxGjAYBgNVBAMTEWNhMC1jYS53b3R0LmxvY2Fs MB4XDTE5MDMxMjEwMjQwMFoXDTE5MDMxOTEwMjQwMFowezELMAkGA1UEBhMCVUsx DzANBgNVBAgTBkxvbmRvbjEjMCEGA1UEChMaV2ViIG9mIFRydXN0ZWQgVGhpbmdz LCBMdGQxNjA0BgNVBAMTLTQ4NTNiNjMwODIyOTQ2MDE5MzkzYjE2YzViNzEwYjll LmQud290dC5sb2NhbDBZMBMGByqGSM49AgEGCCqGSM49AwEHA0IABEzKyyQJ2VSw 5F90xOkHLaJmTHjJwu3C/G2fgYDMw02NbuTzjIhTCyqhHbeY8GO/ZXIZ5ASE1ACB 4OJVYrpRUVajgbowgbcwDgYDVR0PAQH/BAQDAgeAMB0GA1UdJQQWMBQGCCsGAQUF BwMCBggrBgEFBQcDATAMBgNVHRMBAf8EAjAAMB0GA1UdDgQWBBSshZgvlzrA9p6p EJXTRi4wgYOyITAfBgNVHSMEGDAWgBSpts1xq4g96OM2x5RvKrEUAIU3ATA4BgNV HREEMTAvgi00ODUzYjYzMDgyMjk0NjAxOTM5M2IxNmM1YjcxMGI5ZS5kLndvdHQu bG9jYWwwCgYIKoZIzj0EAwIDSAAwRQIgGSUuYz+Osx1FFZnIntWlb2g3dkpT1O/C 5zSuz7b/JcECIQDTa1z7edWWjwBLmFwaCR/2XXU6pt/52Fh+YUq/vwGq5A== -----END CERTIFICATE----- """ KEY = """ -----BEGIN PRIVATE KEY----- MIGHAgEAMBMGByqGSM49AgEGCCqGSM49AwEHBG0wawIBAQQgGJEzRpQVxxo0jRKh 0zV00O5iyOkUajHp9ULu0vE6J3KhRANCAARMysskCdlUsORfdMTpBy2iZkx4ycLt wvxtn4GAzMNNjW7k84yIUwsqoR23mPBjv2VyGeQEhNQAgeDiVWK6UVFW -----END PRIVATE KEY----- """ @pytest.fixture def nmap_fixture(): return NMAP_FIXTURE @pytest.fixture def raspberry_cpuinfo(): return RASPBERRY_FIXTURE @pytest.fixture def netif_gateways(): return { 'default': { 2: ('192.168.1.1', 'wlo1') }, 2: [('192.168.1.1', 'wlo1', True)] } @pytest.fixture def netif_ifaddresses(): return { 17: [ { 'addr': 'aa:aa:aa:aa:aa:aa', 'broadcast': 'ff:ff:ff:ff:ff:ff' } ], 2: [ { 'addr': '192.168.1.3', 'netmask': '255.255.255.0', 'broadcast': '192.168.1.255' } ], 10: [ { 'addr': 'fe80::1e93:cce9:0000:0000%wlo1', 'netmask': 'ffff:ffff:ffff:ffff::/64' } ] } @pytest.fixture def netif_gateways_invalid(): return {} @pytest.fixture def cert(): return CERT @pytest.fixture def key(): return KEY @pytest.fixture def invalid_cert(): return INVALID_CERT @pytest.fixture def invalid_key(): return INVALID_KEY @pytest.fixture def gen_id(): return {"device_id": "60f4e66c1e7746c3ba8f3301d8a4d1c4.d.wott.local"} @pytest.fixture def uptime(): return "60 60" @pytest.fixture def nmap_stdout(): return '<?xml version="1.0" ?><host></host>'

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7

220af3f4a8ff7694d023ed21f8256c92633f5553

5,267

py

Python

mechanic/forms.py

srinidh-007/MechFinder

6c217ee28963ea11b0960c982aa07cff35e31709

[ "Apache-2.0" ]

null

mechanic/forms.py

srinidh-007/MechFinder

6c217ee28963ea11b0960c982aa07cff35e31709

[ "Apache-2.0" ]

null

mechanic/forms.py

srinidh-007/MechFinder

6c217ee28963ea11b0960c982aa07cff35e31709

[ "Apache-2.0" ]

null

from django import forms """Forms to calculate route using google maps""" class DirectionForm(forms.Form): m_lat = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'m_lat'})) m_lon = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'m_lon'})) c_lat = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'c_lat'})) c_lon = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'c_lon'})) """Forms to collect data to be stored in helps_received database""" class HelpsReceivedForm(forms.Form): customer_name = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'customer_name_HelpsReceivedForm'})) mechanic_name = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'mechanic_name_HelpsReceivedForm'})) email = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'email_HelpsReceivedForm'})) customer_email = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'customer_email_HelpsReceivedForm'})) contact_no = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'contact_no_HelpsReceivedForm'})) customer_contact_no = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'customer_contact_no_HelpsReceivedForm'})) customer_description = forms.CharField(label='', max_length=1000, widget= forms.TextInput(attrs={'id':'customer_description_HelpsReceivedForm'})) latitude = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'latitude_HelpsReceivedForm'})) longitude = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'longitude_HelpsReceivedForm'})) customer_latitude = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'customer_latitude_HelpsReceivedForm'})) customer_longitude = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'customer_longitude_HelpsReceivedForm'})) """Forms to collect the details about the order to be cancelled and rebroadcasted""" class CancelOrderForm(forms.Form): customer_name = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'customer_name_CancelOrderForm'})) mechanic_name = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'mechanic_name_CancelOrderForm'})) email = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'email_CancelOrderForm'})) customer_email = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'customer_email_CancelOrderForm'})) contact_no = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'contact_no_CancelOrderForm'})) customer_contact_no = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'customer_contact_no_CancelOrderForm'})) customer_description = forms.CharField(label='', max_length=1000, widget= forms.TextInput(attrs={'id':'customer_description_CancelOrderForm'})) latitude = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'latitude_CancelOrderForm'})) longitude = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'longitude_CancelOrderForm'})) customer_latitude = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'customer_latitude_CancelOrderForm'})) customer_longitude = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'customer_longitude_CancelOrderForm'})) """Forms to collect the details of orders to be finished""" class FinishOrderForm(forms.Form): customer_name = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'customer_name_FinishOrderForm'})) mechanic_name = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'mechanic_name_FinishOrderForm'})) email = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'email_FinishOrderForm'})) customer_email = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'customer_email_FinishOrderForm'})) contact_no = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'contact_no_FinishOrderForm'})) customer_contact_no = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'customer_contact_no_FinishOrderForm'})) customer_description = forms.CharField(label='', max_length=1000, widget= forms.TextInput(attrs={'id':'customer_description_FinishOrderForm'})) latitude = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'latitude_FinishOrderForm'})) longitude = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'longitude_FinishOrderForm'})) customer_latitude = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'customer_latitude_FinishOrderForm'})) customer_longitude = forms.CharField(label='', max_length=100, widget= forms.TextInput(attrs={'id':'customer_longitude_FinishOrderForm'}))

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null

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0

9

221565cac436b6740fcabed9f139e2e04d558e05

189,495

py

Python

dingtalk/python/alibabacloud_dingtalk/drive_1_0/models.py

aliyun/dingtalk-sdk

ab4f856b8cfe94f6b69f10a0730a2e5a7d4901c5

[ "Apache-2.0" ]

15

2020-08-27T04:10:26.000Z

2022-03-07T06:25:42.000Z

dingtalk/python/alibabacloud_dingtalk/drive_1_0/models.py

aliyun/dingtalk-sdk

ab4f856b8cfe94f6b69f10a0730a2e5a7d4901c5

[ "Apache-2.0" ]

1

2020-09-27T01:30:46.000Z

2021-12-29T09:15:34.000Z

dingtalk/python/alibabacloud_dingtalk/drive_1_0/models.py

aliyun/dingtalk-sdk

ab4f856b8cfe94f6b69f10a0730a2e5a7d4901c5

[ "Apache-2.0" ]

5

2020-08-27T04:07:44.000Z

2021-12-03T02:55:20.000Z

# -*- coding: utf-8 -*- # This file is auto-generated, don't edit it. Thanks. from Tea.model import TeaModel from typing import Dict, List, Any class RecoverRecycleFilesHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class RecoverRecycleFilesRequest(TeaModel): def __init__( self, recycle_item_id_list: List[int] = None, recycle_type: str = None, union_id: str = None, ): # 回收站item id列表 self.recycle_item_id_list = recycle_item_id_list # 回收站类型 self.recycle_type = recycle_type # 用户id self.union_id = union_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.recycle_item_id_list is not None: result['recycleItemIdList'] = self.recycle_item_id_list if self.recycle_type is not None: result['recycleType'] = self.recycle_type if self.union_id is not None: result['unionId'] = self.union_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('recycleItemIdList') is not None: self.recycle_item_id_list = m.get('recycleItemIdList') if m.get('recycleType') is not None: self.recycle_type = m.get('recycleType') if m.get('unionId') is not None: self.union_id = m.get('unionId') return self class RecoverRecycleFilesResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, ): self.headers = headers def validate(self): self.validate_required(self.headers, 'headers') def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') return self class AddSpaceHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class AddSpaceRequest(TeaModel): def __init__( self, name: str = None, union_id: str = None, ): # 空间名称 self.name = name # 用户id self.union_id = union_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.name is not None: result['name'] = self.name if self.union_id is not None: result['unionId'] = self.union_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('name') is not None: self.name = m.get('name') if m.get('unionId') is not None: self.union_id = m.get('unionId') return self class AddSpaceResponseBody(TeaModel): def __init__( self, space_id: str = None, space_name: str = None, space_type: str = None, quota: int = None, used_quota: int = None, permission_mode: str = None, create_time: str = None, modify_time: str = None, ): # 空间id self.space_id = space_id # 空间名称 self.space_name = space_name # 空间类型 self.space_type = space_type # 空间总额度 self.quota = quota # 空间已使用额度 self.used_quota = used_quota # 授权模式 self.permission_mode = permission_mode # 创建时间 self.create_time = create_time # 修改时间 self.modify_time = modify_time def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.space_id is not None: result['spaceId'] = self.space_id if self.space_name is not None: result['spaceName'] = self.space_name if self.space_type is not None: result['spaceType'] = self.space_type if self.quota is not None: result['quota'] = self.quota if self.used_quota is not None: result['usedQuota'] = self.used_quota if self.permission_mode is not None: result['permissionMode'] = self.permission_mode if self.create_time is not None: result['createTime'] = self.create_time if self.modify_time is not None: result['modifyTime'] = self.modify_time return result def from_map(self, m: dict = None): m = m or dict() if m.get('spaceId') is not None: self.space_id = m.get('spaceId') if m.get('spaceName') is not None: self.space_name = m.get('spaceName') if m.get('spaceType') is not None: self.space_type = m.get('spaceType') if m.get('quota') is not None: self.quota = m.get('quota') if m.get('usedQuota') is not None: self.used_quota = m.get('usedQuota') if m.get('permissionMode') is not None: self.permission_mode = m.get('permissionMode') if m.get('createTime') is not None: self.create_time = m.get('createTime') if m.get('modifyTime') is not None: self.modify_time = m.get('modifyTime') return self class AddSpaceResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: AddSpaceResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = AddSpaceResponseBody() self.body = temp_model.from_map(m['body']) return self class DeleteRecycleFilesHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class DeleteRecycleFilesRequest(TeaModel): def __init__( self, recycle_item_id_list: List[int] = None, recycle_type: str = None, union_id: str = None, ): # 回收站item id列表 self.recycle_item_id_list = recycle_item_id_list # 回收站类型 self.recycle_type = recycle_type # 用户id self.union_id = union_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.recycle_item_id_list is not None: result['recycleItemIdList'] = self.recycle_item_id_list if self.recycle_type is not None: result['recycleType'] = self.recycle_type if self.union_id is not None: result['unionId'] = self.union_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('recycleItemIdList') is not None: self.recycle_item_id_list = m.get('recycleItemIdList') if m.get('recycleType') is not None: self.recycle_type = m.get('recycleType') if m.get('unionId') is not None: self.union_id = m.get('unionId') return self class DeleteRecycleFilesResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, ): self.headers = headers def validate(self): self.validate_required(self.headers, 'headers') def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') return self class AddPermissionHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class AddPermissionRequestMembers(TeaModel): def __init__( self, corp_id: str = None, member_type: str = None, member_id: str = None, ): # 企业corpId self.corp_id = corp_id # 成员类型 self.member_type = member_type # 成员id self.member_id = member_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.corp_id is not None: result['corpId'] = self.corp_id if self.member_type is not None: result['memberType'] = self.member_type if self.member_id is not None: result['memberId'] = self.member_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('corpId') is not None: self.corp_id = m.get('corpId') if m.get('memberType') is not None: self.member_type = m.get('memberType') if m.get('memberId') is not None: self.member_id = m.get('memberId') return self class AddPermissionRequest(TeaModel): def __init__( self, role: str = None, members: List[AddPermissionRequestMembers] = None, union_id: str = None, ): # 权限角色 self.role = role self.members = members # 用户id self.union_id = union_id def validate(self): if self.members: for k in self.members: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.role is not None: result['role'] = self.role result['members'] = [] if self.members is not None: for k in self.members: result['members'].append(k.to_map() if k else None) if self.union_id is not None: result['unionId'] = self.union_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('role') is not None: self.role = m.get('role') self.members = [] if m.get('members') is not None: for k in m.get('members'): temp_model = AddPermissionRequestMembers() self.members.append(temp_model.from_map(k)) if m.get('unionId') is not None: self.union_id = m.get('unionId') return self class AddPermissionResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, ): self.headers = headers def validate(self): self.validate_required(self.headers, 'headers') def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') return self class GetQuotaInfosHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetQuotaInfosRequest(TeaModel): def __init__( self, type: str = None, identifiers: List[str] = None, union_id: str = None, ): # 容量类型 self.type = type # 容量标识符列表 self.identifiers = identifiers # 用户id self.union_id = union_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.type is not None: result['type'] = self.type if self.identifiers is not None: result['identifiers'] = self.identifiers if self.union_id is not None: result['unionId'] = self.union_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('type') is not None: self.type = m.get('type') if m.get('identifiers') is not None: self.identifiers = m.get('identifiers') if m.get('unionId') is not None: self.union_id = m.get('unionId') return self class GetQuotaInfosResponseBodyQuotas(TeaModel): def __init__( self, type: str = None, identifier: str = None, quota: int = None, used_quota: int = None, ): # 容量类型 self.type = type # 容量标识符 self.identifier = identifier # 总容量 self.quota = quota # 已使用容量 self.used_quota = used_quota def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.type is not None: result['type'] = self.type if self.identifier is not None: result['identifier'] = self.identifier if self.quota is not None: result['quota'] = self.quota if self.used_quota is not None: result['usedQuota'] = self.used_quota return result def from_map(self, m: dict = None): m = m or dict() if m.get('type') is not None: self.type = m.get('type') if m.get('identifier') is not None: self.identifier = m.get('identifier') if m.get('quota') is not None: self.quota = m.get('quota') if m.get('usedQuota') is not None: self.used_quota = m.get('usedQuota') return self class GetQuotaInfosResponseBody(TeaModel): def __init__( self, quotas: List[GetQuotaInfosResponseBodyQuotas] = None, ): # 容量信息列表 self.quotas = quotas def validate(self): if self.quotas: for k in self.quotas: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['quotas'] = [] if self.quotas is not None: for k in self.quotas: result['quotas'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() self.quotas = [] if m.get('quotas') is not None: for k in m.get('quotas'): temp_model = GetQuotaInfosResponseBodyQuotas() self.quotas.append(temp_model.from_map(k)) return self class GetQuotaInfosResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetQuotaInfosResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetQuotaInfosResponseBody() self.body = temp_model.from_map(m['body']) return self class GetFileInfoHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetFileInfoRequest(TeaModel): def __init__( self, union_id: str = None, ): # 用户id self.union_id = union_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.union_id is not None: result['unionId'] = self.union_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('unionId') is not None: self.union_id = m.get('unionId') return self class GetFileInfoResponseBody(TeaModel): def __init__( self, space_id: str = None, parent_id: str = None, file_id: str = None, file_name: str = None, file_path: str = None, file_type: str = None, content_type: str = None, file_extension: str = None, file_size: int = None, create_time: str = None, modify_time: str = None, creator: str = None, modifier: str = None, ): # 空间id self.space_id = space_id # 父目录id self.parent_id = parent_id # 文件id self.file_id = file_id # 文件名称 self.file_name = file_name # 文件路径 self.file_path = file_path # 文件类型 self.file_type = file_type # 文件内容类型 self.content_type = content_type # 文件后缀 self.file_extension = file_extension # 文件大小 self.file_size = file_size # 创建时间 self.create_time = create_time # 修改时间 self.modify_time = modify_time # 创建者 self.creator = creator # 修改者 self.modifier = modifier def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.space_id is not None: result['spaceId'] = self.space_id if self.parent_id is not None: result['parentId'] = self.parent_id if self.file_id is not None: result['fileId'] = self.file_id if self.file_name is not None: result['fileName'] = self.file_name if self.file_path is not None: result['filePath'] = self.file_path if self.file_type is not None: result['fileType'] = self.file_type if self.content_type is not None: result['contentType'] = self.content_type if self.file_extension is not None: result['fileExtension'] = self.file_extension if self.file_size is not None: result['fileSize'] = self.file_size if self.create_time is not None: result['createTime'] = self.create_time if self.modify_time is not None: result['modifyTime'] = self.modify_time if self.creator is not None: result['creator'] = self.creator if self.modifier is not None: result['modifier'] = self.modifier return result def from_map(self, m: dict = None): m = m or dict() if m.get('spaceId') is not None: self.space_id = m.get('spaceId') if m.get('parentId') is not None: self.parent_id = m.get('parentId') if m.get('fileId') is not None: self.file_id = m.get('fileId') if m.get('fileName') is not None: self.file_name = m.get('fileName') if m.get('filePath') is not None: self.file_path = m.get('filePath') if m.get('fileType') is not None: self.file_type = m.get('fileType') if m.get('contentType') is not None: self.content_type = m.get('contentType') if m.get('fileExtension') is not None: self.file_extension = m.get('fileExtension') if m.get('fileSize') is not None: self.file_size = m.get('fileSize') if m.get('createTime') is not None: self.create_time = m.get('createTime') if m.get('modifyTime') is not None: self.modify_time = m.get('modifyTime') if m.get('creator') is not None: self.creator = m.get('creator') if m.get('modifier') is not None: self.modifier = m.get('modifier') return self class GetFileInfoResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetFileInfoResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetFileInfoResponseBody() self.body = temp_model.from_map(m['body']) return self class ListRecycleFilesHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class ListRecycleFilesRequest(TeaModel): def __init__( self, union_id: str = None, recycle_type: str = None, next_token: str = None, max_results: int = None, order_type: str = None, ): # 用户id self.union_id = union_id # 回收站类型 self.recycle_type = recycle_type # 分页加载更多锚点 self.next_token = next_token # 分页长度 self.max_results = max_results # 文件排序类型 self.order_type = order_type def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.union_id is not None: result['unionId'] = self.union_id if self.recycle_type is not None: result['recycleType'] = self.recycle_type if self.next_token is not None: result['nextToken'] = self.next_token if self.max_results is not None: result['maxResults'] = self.max_results if self.order_type is not None: result['orderType'] = self.order_type return result def from_map(self, m: dict = None): m = m or dict() if m.get('unionId') is not None: self.union_id = m.get('unionId') if m.get('recycleType') is not None: self.recycle_type = m.get('recycleType') if m.get('nextToken') is not None: self.next_token = m.get('nextToken') if m.get('maxResults') is not None: self.max_results = m.get('maxResults') if m.get('orderType') is not None: self.order_type = m.get('orderType') return self class ListRecycleFilesResponseBodyRecycleItems(TeaModel): def __init__( self, recycle_item_id: str = None, delete_staff_id: str = None, delete_time: str = None, file_size: int = None, file_type: str = None, content_type: str = None, file_name: str = None, file_path: str = None, ): # 回收站item id self.recycle_item_id = recycle_item_id # 删除员工工号 self.delete_staff_id = delete_staff_id # 删除时间 self.delete_time = delete_time # 文件大小 self.file_size = file_size # 文件类型 self.file_type = file_type # 文件内容类型 self.content_type = content_type # 文件名称 self.file_name = file_name # 文件路径 self.file_path = file_path def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.recycle_item_id is not None: result['recycleItemId'] = self.recycle_item_id if self.delete_staff_id is not None: result['deleteStaffId'] = self.delete_staff_id if self.delete_time is not None: result['deleteTime'] = self.delete_time if self.file_size is not None: result['fileSize'] = self.file_size if self.file_type is not None: result['fileType'] = self.file_type if self.content_type is not None: result['contentType'] = self.content_type if self.file_name is not None: result['fileName'] = self.file_name if self.file_path is not None: result['filePath'] = self.file_path return result def from_map(self, m: dict = None): m = m or dict() if m.get('recycleItemId') is not None: self.recycle_item_id = m.get('recycleItemId') if m.get('deleteStaffId') is not None: self.delete_staff_id = m.get('deleteStaffId') if m.get('deleteTime') is not None: self.delete_time = m.get('deleteTime') if m.get('fileSize') is not None: self.file_size = m.get('fileSize') if m.get('fileType') is not None: self.file_type = m.get('fileType') if m.get('contentType') is not None: self.content_type = m.get('contentType') if m.get('fileName') is not None: self.file_name = m.get('fileName') if m.get('filePath') is not None: self.file_path = m.get('filePath') return self class ListRecycleFilesResponseBody(TeaModel): def __init__( self, recycle_items: List[ListRecycleFilesResponseBodyRecycleItems] = None, next_token: str = None, ): # 回收站文件列表 self.recycle_items = recycle_items # 加载更多锚点, nextToken不为空表示有更多数据 self.next_token = next_token def validate(self): if self.recycle_items: for k in self.recycle_items: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['recycleItems'] = [] if self.recycle_items is not None: for k in self.recycle_items: result['recycleItems'].append(k.to_map() if k else None) if self.next_token is not None: result['nextToken'] = self.next_token return result def from_map(self, m: dict = None): m = m or dict() self.recycle_items = [] if m.get('recycleItems') is not None: for k in m.get('recycleItems'): temp_model = ListRecycleFilesResponseBodyRecycleItems() self.recycle_items.append(temp_model.from_map(k)) if m.get('nextToken') is not None: self.next_token = m.get('nextToken') return self class ListRecycleFilesResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: ListRecycleFilesResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = ListRecycleFilesResponseBody() self.body = temp_model.from_map(m['body']) return self class DeleteFilesHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class DeleteFilesRequest(TeaModel): def __init__( self, file_ids: List[str] = None, delete_policy: str = None, union_id: str = None, ): # 文件id列表 self.file_ids = file_ids # 删除策略 self.delete_policy = delete_policy # 用户id self.union_id = union_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.file_ids is not None: result['fileIds'] = self.file_ids if self.delete_policy is not None: result['deletePolicy'] = self.delete_policy if self.union_id is not None: result['unionId'] = self.union_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('fileIds') is not None: self.file_ids = m.get('fileIds') if m.get('deletePolicy') is not None: self.delete_policy = m.get('deletePolicy') if m.get('unionId') is not None: self.union_id = m.get('unionId') return self class DeleteFilesResponseBody(TeaModel): def __init__( self, success: bool = None, task_id: str = None, ): # 是否成功 self.success = success # 异步任务id self.task_id = task_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.success is not None: result['success'] = self.success if self.task_id is not None: result['taskId'] = self.task_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('success') is not None: self.success = m.get('success') if m.get('taskId') is not None: self.task_id = m.get('taskId') return self class DeleteFilesResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: DeleteFilesResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = DeleteFilesResponseBody() self.body = temp_model.from_map(m['body']) return self class ManagementBuyQuotaHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class ManagementBuyQuotaRequestOrder(TeaModel): def __init__( self, order_id: int = None, biz_type: str = None, capacity_type: str = None, capacity: int = None, day: int = None, money: int = None, ): # 订单id self.order_id = order_id # 业务类型 self.biz_type = biz_type # 容量类型 self.capacity_type = capacity_type # 待扩容的容量 self.capacity = capacity # 时长 self.day = day # 金额 self.money = money def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.order_id is not None: result['orderId'] = self.order_id if self.biz_type is not None: result['bizType'] = self.biz_type if self.capacity_type is not None: result['capacityType'] = self.capacity_type if self.capacity is not None: result['capacity'] = self.capacity if self.day is not None: result['day'] = self.day if self.money is not None: result['money'] = self.money return result def from_map(self, m: dict = None): m = m or dict() if m.get('orderId') is not None: self.order_id = m.get('orderId') if m.get('bizType') is not None: self.biz_type = m.get('bizType') if m.get('capacityType') is not None: self.capacity_type = m.get('capacityType') if m.get('capacity') is not None: self.capacity = m.get('capacity') if m.get('day') is not None: self.day = m.get('day') if m.get('money') is not None: self.money = m.get('money') return self class ManagementBuyQuotaRequest(TeaModel): def __init__( self, token: str = None, union_id: str = None, order: ManagementBuyQuotaRequestOrder = None, ): # token self.token = token # 用户id self.union_id = union_id # 订单 self.order = order def validate(self): if self.order: self.order.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.token is not None: result['token'] = self.token if self.union_id is not None: result['unionId'] = self.union_id if self.order is not None: result['order'] = self.order.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('token') is not None: self.token = m.get('token') if m.get('unionId') is not None: self.union_id = m.get('unionId') if m.get('order') is not None: temp_model = ManagementBuyQuotaRequestOrder() self.order = temp_model.from_map(m['order']) return self class ManagementBuyQuotaResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, ): self.headers = headers def validate(self): self.validate_required(self.headers, 'headers') def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') return self class RenameFileHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class RenameFileRequest(TeaModel): def __init__( self, new_file_name: str = None, union_id: str = None, ): # 新文件名称 self.new_file_name = new_file_name # 用户id self.union_id = union_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.new_file_name is not None: result['newFileName'] = self.new_file_name if self.union_id is not None: result['unionId'] = self.union_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('newFileName') is not None: self.new_file_name = m.get('newFileName') if m.get('unionId') is not None: self.union_id = m.get('unionId') return self class RenameFileResponseBody(TeaModel): def __init__( self, space_id: str = None, parent_id: str = None, file_id: str = None, file_name: str = None, file_path: str = None, file_type: str = None, content_type: str = None, file_extension: str = None, file_size: int = None, create_time: str = None, modify_time: str = None, creator: str = None, modifier: str = None, ): # 空间id self.space_id = space_id # 父目录id self.parent_id = parent_id # 文件id self.file_id = file_id # 文件名称 self.file_name = file_name # 文件路径 self.file_path = file_path # 文件类型 self.file_type = file_type # 文件内容类型 self.content_type = content_type # 文件后缀 self.file_extension = file_extension # 文件大小 self.file_size = file_size # 创建时间 self.create_time = create_time # 修改时间 self.modify_time = modify_time # 创建者 self.creator = creator # 修改者 self.modifier = modifier def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.space_id is not None: result['spaceId'] = self.space_id if self.parent_id is not None: result['parentId'] = self.parent_id if self.file_id is not None: result['fileId'] = self.file_id if self.file_name is not None: result['fileName'] = self.file_name if self.file_path is not None: result['filePath'] = self.file_path if self.file_type is not None: result['fileType'] = self.file_type if self.content_type is not None: result['contentType'] = self.content_type if self.file_extension is not None: result['fileExtension'] = self.file_extension if self.file_size is not None: result['fileSize'] = self.file_size if self.create_time is not None: result['createTime'] = self.create_time if self.modify_time is not None: result['modifyTime'] = self.modify_time if self.creator is not None: result['creator'] = self.creator if self.modifier is not None: result['modifier'] = self.modifier return result def from_map(self, m: dict = None): m = m or dict() if m.get('spaceId') is not None: self.space_id = m.get('spaceId') if m.get('parentId') is not None: self.parent_id = m.get('parentId') if m.get('fileId') is not None: self.file_id = m.get('fileId') if m.get('fileName') is not None: self.file_name = m.get('fileName') if m.get('filePath') is not None: self.file_path = m.get('filePath') if m.get('fileType') is not None: self.file_type = m.get('fileType') if m.get('contentType') is not None: self.content_type = m.get('contentType') if m.get('fileExtension') is not None: self.file_extension = m.get('fileExtension') if m.get('fileSize') is not None: self.file_size = m.get('fileSize') if m.get('createTime') is not None: self.create_time = m.get('createTime') if m.get('modifyTime') is not None: self.modify_time = m.get('modifyTime') if m.get('creator') is not None: self.creator = m.get('creator') if m.get('modifier') is not None: self.modifier = m.get('modifier') return self class RenameFileResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: RenameFileResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = RenameFileResponseBody() self.body = temp_model.from_map(m['body']) return self class GetAsyncTaskInfoHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetAsyncTaskInfoRequest(TeaModel): def __init__( self, union_id: str = None, ): # 用户id self.union_id = union_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.union_id is not None: result['unionId'] = self.union_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('unionId') is not None: self.union_id = m.get('unionId') return self class GetAsyncTaskInfoResponseBody(TeaModel): def __init__( self, task_id: str = None, total: int = None, success: int = None, failed: int = None, status: str = None, begin_time: str = None, end_time: str = None, ): # 异步任务id self.task_id = task_id # 任务总数 self.total = total # 完成个数 self.success = success # 失败个数 self.failed = failed # 任务状态 self.status = status # 任务开始时间 self.begin_time = begin_time # 任务结束时间 self.end_time = end_time def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.task_id is not None: result['taskId'] = self.task_id if self.total is not None: result['total'] = self.total if self.success is not None: result['success'] = self.success if self.failed is not None: result['failed'] = self.failed if self.status is not None: result['status'] = self.status if self.begin_time is not None: result['beginTime'] = self.begin_time if self.end_time is not None: result['endTime'] = self.end_time return result def from_map(self, m: dict = None): m = m or dict() if m.get('taskId') is not None: self.task_id = m.get('taskId') if m.get('total') is not None: self.total = m.get('total') if m.get('success') is not None: self.success = m.get('success') if m.get('failed') is not None: self.failed = m.get('failed') if m.get('status') is not None: self.status = m.get('status') if m.get('beginTime') is not None: self.begin_time = m.get('beginTime') if m.get('endTime') is not None: self.end_time = m.get('endTime') return self class GetAsyncTaskInfoResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetAsyncTaskInfoResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetAsyncTaskInfoResponseBody() self.body = temp_model.from_map(m['body']) return self class ListFilesHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class ListFilesRequest(TeaModel): def __init__( self, union_id: str = None, parent_id: str = None, next_token: str = None, max_results: int = None, order_type: str = None, with_icon: bool = None, ): # 用户id self.union_id = union_id # 父目录id self.parent_id = parent_id # 分页查询锚点 self.next_token = next_token # 分页长度 self.max_results = max_results # 排序类型 self.order_type = order_type # 是否返回文件图标 self.with_icon = with_icon def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.union_id is not None: result['unionId'] = self.union_id if self.parent_id is not None: result['parentId'] = self.parent_id if self.next_token is not None: result['nextToken'] = self.next_token if self.max_results is not None: result['maxResults'] = self.max_results if self.order_type is not None: result['orderType'] = self.order_type if self.with_icon is not None: result['withIcon'] = self.with_icon return result def from_map(self, m: dict = None): m = m or dict() if m.get('unionId') is not None: self.union_id = m.get('unionId') if m.get('parentId') is not None: self.parent_id = m.get('parentId') if m.get('nextToken') is not None: self.next_token = m.get('nextToken') if m.get('maxResults') is not None: self.max_results = m.get('maxResults') if m.get('orderType') is not None: self.order_type = m.get('orderType') if m.get('withIcon') is not None: self.with_icon = m.get('withIcon') return self class ListFilesResponseBodyFiles(TeaModel): def __init__( self, space_id: str = None, parent_id: str = None, file_id: str = None, file_name: str = None, file_path: str = None, file_type: str = None, content_type: str = None, file_extension: str = None, file_size: int = None, thumbnail: str = None, icon: str = None, create_time: str = None, modify_time: str = None, creator: str = None, modifier: str = None, ): # 空间id self.space_id = space_id # 父目录id self.parent_id = parent_id # 文件id self.file_id = file_id # 文件名称 self.file_name = file_name # 文件路径 self.file_path = file_path # 文件类型 self.file_type = file_type # 文件内容类型 self.content_type = content_type # 文件后缀 self.file_extension = file_extension # 文件大小 self.file_size = file_size # 文件缩略图 self.thumbnail = thumbnail # 文件图标 self.icon = icon # 创建时间 self.create_time = create_time # 修改时间 self.modify_time = modify_time # 创建者 self.creator = creator # 修改者 self.modifier = modifier def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.space_id is not None: result['spaceId'] = self.space_id if self.parent_id is not None: result['parentId'] = self.parent_id if self.file_id is not None: result['fileId'] = self.file_id if self.file_name is not None: result['fileName'] = self.file_name if self.file_path is not None: result['filePath'] = self.file_path if self.file_type is not None: result['fileType'] = self.file_type if self.content_type is not None: result['contentType'] = self.content_type if self.file_extension is not None: result['fileExtension'] = self.file_extension if self.file_size is not None: result['fileSize'] = self.file_size if self.thumbnail is not None: result['thumbnail'] = self.thumbnail if self.icon is not None: result['icon'] = self.icon if self.create_time is not None: result['createTime'] = self.create_time if self.modify_time is not None: result['modifyTime'] = self.modify_time if self.creator is not None: result['creator'] = self.creator if self.modifier is not None: result['modifier'] = self.modifier return result def from_map(self, m: dict = None): m = m or dict() if m.get('spaceId') is not None: self.space_id = m.get('spaceId') if m.get('parentId') is not None: self.parent_id = m.get('parentId') if m.get('fileId') is not None: self.file_id = m.get('fileId') if m.get('fileName') is not None: self.file_name = m.get('fileName') if m.get('filePath') is not None: self.file_path = m.get('filePath') if m.get('fileType') is not None: self.file_type = m.get('fileType') if m.get('contentType') is not None: self.content_type = m.get('contentType') if m.get('fileExtension') is not None: self.file_extension = m.get('fileExtension') if m.get('fileSize') is not None: self.file_size = m.get('fileSize') if m.get('thumbnail') is not None: self.thumbnail = m.get('thumbnail') if m.get('icon') is not None: self.icon = m.get('icon') if m.get('createTime') is not None: self.create_time = m.get('createTime') if m.get('modifyTime') is not None: self.modify_time = m.get('modifyTime') if m.get('creator') is not None: self.creator = m.get('creator') if m.get('modifier') is not None: self.modifier = m.get('modifier') return self class ListFilesResponseBody(TeaModel): def __init__( self, files: List[ListFilesResponseBodyFiles] = None, next_token: str = None, ): # 文件列表 self.files = files # 分页加载锚点, nextToken不为空表示有更多数据 self.next_token = next_token def validate(self): if self.files: for k in self.files: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['files'] = [] if self.files is not None: for k in self.files: result['files'].append(k.to_map() if k else None) if self.next_token is not None: result['nextToken'] = self.next_token return result def from_map(self, m: dict = None): m = m or dict() self.files = [] if m.get('files') is not None: for k in m.get('files'): temp_model = ListFilesResponseBodyFiles() self.files.append(temp_model.from_map(k)) if m.get('nextToken') is not None: self.next_token = m.get('nextToken') return self class ListFilesResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: ListFilesResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = ListFilesResponseBody() self.body = temp_model.from_map(m['body']) return self class ListPermissionsHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class ListPermissionsRequest(TeaModel): def __init__( self, union_id: str = None, ): # 用户id self.union_id = union_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.union_id is not None: result['unionId'] = self.union_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('unionId') is not None: self.union_id = m.get('unionId') return self class ListPermissionsResponseBodyMembersMember(TeaModel): def __init__( self, corp_id: str = None, member_type: str = None, member_id: str = None, member_name: str = None, ): # 企业corpId self.corp_id = corp_id # 成员类型 self.member_type = member_type # 成员id self.member_id = member_id # 成员名称 self.member_name = member_name def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.corp_id is not None: result['corpId'] = self.corp_id if self.member_type is not None: result['memberType'] = self.member_type if self.member_id is not None: result['memberId'] = self.member_id if self.member_name is not None: result['memberName'] = self.member_name return result def from_map(self, m: dict = None): m = m or dict() if m.get('corpId') is not None: self.corp_id = m.get('corpId') if m.get('memberType') is not None: self.member_type = m.get('memberType') if m.get('memberId') is not None: self.member_id = m.get('memberId') if m.get('memberName') is not None: self.member_name = m.get('memberName') return self class ListPermissionsResponseBodyMembers(TeaModel): def __init__( self, role: str = None, member: ListPermissionsResponseBodyMembersMember = None, extend: bool = None, ): # 权限角色 self.role = role # 成员信息 self.member = member # 是否是继承的权限 self.extend = extend def validate(self): if self.member: self.member.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.role is not None: result['role'] = self.role if self.member is not None: result['member'] = self.member.to_map() if self.extend is not None: result['extend'] = self.extend return result def from_map(self, m: dict = None): m = m or dict() if m.get('role') is not None: self.role = m.get('role') if m.get('member') is not None: temp_model = ListPermissionsResponseBodyMembersMember() self.member = temp_model.from_map(m['member']) if m.get('extend') is not None: self.extend = m.get('extend') return self class ListPermissionsResponseBodyOutMembersMember(TeaModel): def __init__( self, corp_id: str = None, member_type: str = None, member_id: str = None, member_name: str = None, ): # 企业corpId self.corp_id = corp_id # 成员类型 self.member_type = member_type # 成员id self.member_id = member_id # 成员名称 self.member_name = member_name def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.corp_id is not None: result['corpId'] = self.corp_id if self.member_type is not None: result['memberType'] = self.member_type if self.member_id is not None: result['memberId'] = self.member_id if self.member_name is not None: result['memberName'] = self.member_name return result def from_map(self, m: dict = None): m = m or dict() if m.get('corpId') is not None: self.corp_id = m.get('corpId') if m.get('memberType') is not None: self.member_type = m.get('memberType') if m.get('memberId') is not None: self.member_id = m.get('memberId') if m.get('memberName') is not None: self.member_name = m.get('memberName') return self class ListPermissionsResponseBodyOutMembers(TeaModel): def __init__( self, role: str = None, member: ListPermissionsResponseBodyOutMembersMember = None, extend: bool = None, ): # 权限角色 self.role = role # 成员信息 self.member = member # 是否是继承的权限 self.extend = extend def validate(self): if self.member: self.member.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.role is not None: result['role'] = self.role if self.member is not None: result['member'] = self.member.to_map() if self.extend is not None: result['extend'] = self.extend return result def from_map(self, m: dict = None): m = m or dict() if m.get('role') is not None: self.role = m.get('role') if m.get('member') is not None: temp_model = ListPermissionsResponseBodyOutMembersMember() self.member = temp_model.from_map(m['member']) if m.get('extend') is not None: self.extend = m.get('extend') return self class ListPermissionsResponseBody(TeaModel): def __init__( self, members: List[ListPermissionsResponseBodyMembers] = None, out_members: List[ListPermissionsResponseBodyOutMembers] = None, ): # 企业内成员权限列表 self.members = members # 企业外成员权限列表 self.out_members = out_members def validate(self): if self.members: for k in self.members: if k: k.validate() if self.out_members: for k in self.out_members: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['members'] = [] if self.members is not None: for k in self.members: result['members'].append(k.to_map() if k else None) result['outMembers'] = [] if self.out_members is not None: for k in self.out_members: result['outMembers'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() self.members = [] if m.get('members') is not None: for k in m.get('members'): temp_model = ListPermissionsResponseBodyMembers() self.members.append(temp_model.from_map(k)) self.out_members = [] if m.get('outMembers') is not None: for k in m.get('outMembers'): temp_model = ListPermissionsResponseBodyOutMembers() self.out_members.append(temp_model.from_map(k)) return self class ListPermissionsResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: ListPermissionsResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = ListPermissionsResponseBody() self.body = temp_model.from_map(m['body']) return self class MoveFileHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class MoveFileRequest(TeaModel): def __init__( self, target_space_id: str = None, target_parent_id: str = None, add_conflict_policy: str = None, union_id: str = None, ): # 目标空间id self.target_space_id = target_space_id # 目标父目录id self.target_parent_id = target_parent_id # 文件名冲突策略 self.add_conflict_policy = add_conflict_policy # 用户id self.union_id = union_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.target_space_id is not None: result['targetSpaceId'] = self.target_space_id if self.target_parent_id is not None: result['targetParentId'] = self.target_parent_id if self.add_conflict_policy is not None: result['addConflictPolicy'] = self.add_conflict_policy if self.union_id is not None: result['unionId'] = self.union_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('targetSpaceId') is not None: self.target_space_id = m.get('targetSpaceId') if m.get('targetParentId') is not None: self.target_parent_id = m.get('targetParentId') if m.get('addConflictPolicy') is not None: self.add_conflict_policy = m.get('addConflictPolicy') if m.get('unionId') is not None: self.union_id = m.get('unionId') return self class MoveFileResponseBody(TeaModel): def __init__( self, space_id: str = None, parent_id: str = None, file_id: str = None, file_name: str = None, file_path: str = None, file_type: str = None, content_type: str = None, file_extension: str = None, file_size: int = None, create_time: str = None, modify_time: str = None, creator: str = None, modifier: str = None, ): # 空间id self.space_id = space_id # 父目录id self.parent_id = parent_id # 文件id self.file_id = file_id # 文件名称 self.file_name = file_name # 文件路径 self.file_path = file_path # 文件类型 self.file_type = file_type # 文件内容类型 self.content_type = content_type # 文件后缀 self.file_extension = file_extension # 文件大小 self.file_size = file_size # 创建时间 self.create_time = create_time # 修改时间 self.modify_time = modify_time # 创建者 self.creator = creator # 修改者 self.modifier = modifier def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.space_id is not None: result['spaceId'] = self.space_id if self.parent_id is not None: result['parentId'] = self.parent_id if self.file_id is not None: result['fileId'] = self.file_id if self.file_name is not None: result['fileName'] = self.file_name if self.file_path is not None: result['filePath'] = self.file_path if self.file_type is not None: result['fileType'] = self.file_type if self.content_type is not None: result['contentType'] = self.content_type if self.file_extension is not None: result['fileExtension'] = self.file_extension if self.file_size is not None: result['fileSize'] = self.file_size if self.create_time is not None: result['createTime'] = self.create_time if self.modify_time is not None: result['modifyTime'] = self.modify_time if self.creator is not None: result['creator'] = self.creator if self.modifier is not None: result['modifier'] = self.modifier return result def from_map(self, m: dict = None): m = m or dict() if m.get('spaceId') is not None: self.space_id = m.get('spaceId') if m.get('parentId') is not None: self.parent_id = m.get('parentId') if m.get('fileId') is not None: self.file_id = m.get('fileId') if m.get('fileName') is not None: self.file_name = m.get('fileName') if m.get('filePath') is not None: self.file_path = m.get('filePath') if m.get('fileType') is not None: self.file_type = m.get('fileType') if m.get('contentType') is not None: self.content_type = m.get('contentType') if m.get('fileExtension') is not None: self.file_extension = m.get('fileExtension') if m.get('fileSize') is not None: self.file_size = m.get('fileSize') if m.get('createTime') is not None: self.create_time = m.get('createTime') if m.get('modifyTime') is not None: self.modify_time = m.get('modifyTime') if m.get('creator') is not None: self.creator = m.get('creator') if m.get('modifier') is not None: self.modifier = m.get('modifier') return self class MoveFileResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: MoveFileResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = MoveFileResponseBody() self.body = temp_model.from_map(m['body']) return self class ListSpacesHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class ListSpacesRequest(TeaModel): def __init__( self, union_id: str = None, space_type: str = None, next_token: str = None, max_results: int = None, ): # 用户id self.union_id = union_id # 空间类型 self.space_type = space_type # 分页加载锚点 self.next_token = next_token # 分页大小 self.max_results = max_results def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.union_id is not None: result['unionId'] = self.union_id if self.space_type is not None: result['spaceType'] = self.space_type if self.next_token is not None: result['nextToken'] = self.next_token if self.max_results is not None: result['maxResults'] = self.max_results return result def from_map(self, m: dict = None): m = m or dict() if m.get('unionId') is not None: self.union_id = m.get('unionId') if m.get('spaceType') is not None: self.space_type = m.get('spaceType') if m.get('nextToken') is not None: self.next_token = m.get('nextToken') if m.get('maxResults') is not None: self.max_results = m.get('maxResults') return self class ListSpacesResponseBodySpaces(TeaModel): def __init__( self, space_id: str = None, space_name: str = None, space_type: str = None, quota: int = None, used_quota: int = None, permission_mode: str = None, create_time: str = None, modify_time: str = None, ): # 空间id self.space_id = space_id # 空间名称 self.space_name = space_name # 空间类型 self.space_type = space_type # 空间总额度 self.quota = quota # 空间已使用额度 self.used_quota = used_quota # 授权模式 self.permission_mode = permission_mode # 创建时间 self.create_time = create_time # 修改时间 self.modify_time = modify_time def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.space_id is not None: result['spaceId'] = self.space_id if self.space_name is not None: result['spaceName'] = self.space_name if self.space_type is not None: result['spaceType'] = self.space_type if self.quota is not None: result['quota'] = self.quota if self.used_quota is not None: result['usedQuota'] = self.used_quota if self.permission_mode is not None: result['permissionMode'] = self.permission_mode if self.create_time is not None: result['createTime'] = self.create_time if self.modify_time is not None: result['modifyTime'] = self.modify_time return result def from_map(self, m: dict = None): m = m or dict() if m.get('spaceId') is not None: self.space_id = m.get('spaceId') if m.get('spaceName') is not None: self.space_name = m.get('spaceName') if m.get('spaceType') is not None: self.space_type = m.get('spaceType') if m.get('quota') is not None: self.quota = m.get('quota') if m.get('usedQuota') is not None: self.used_quota = m.get('usedQuota') if m.get('permissionMode') is not None: self.permission_mode = m.get('permissionMode') if m.get('createTime') is not None: self.create_time = m.get('createTime') if m.get('modifyTime') is not None: self.modify_time = m.get('modifyTime') return self class ListSpacesResponseBody(TeaModel): def __init__( self, spaces: List[ListSpacesResponseBodySpaces] = None, next_token: str = None, ): self.spaces = spaces # 分页加载更多锚点, nextToken不为空表示有更多数据 self.next_token = next_token def validate(self): if self.spaces: for k in self.spaces: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['spaces'] = [] if self.spaces is not None: for k in self.spaces: result['spaces'].append(k.to_map() if k else None) if self.next_token is not None: result['nextToken'] = self.next_token return result def from_map(self, m: dict = None): m = m or dict() self.spaces = [] if m.get('spaces') is not None: for k in m.get('spaces'): temp_model = ListSpacesResponseBodySpaces() self.spaces.append(temp_model.from_map(k)) if m.get('nextToken') is not None: self.next_token = m.get('nextToken') return self class ListSpacesResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: ListSpacesResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = ListSpacesResponseBody() self.body = temp_model.from_map(m['body']) return self class CopyFileHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class CopyFileRequest(TeaModel): def __init__( self, target_space_id: str = None, target_parent_id: str = None, add_conflict_policy: str = None, union_id: str = None, ): # 目标空间id self.target_space_id = target_space_id # 目标父目录id self.target_parent_id = target_parent_id # 文件名冲突策略 self.add_conflict_policy = add_conflict_policy # 用户id self.union_id = union_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.target_space_id is not None: result['targetSpaceId'] = self.target_space_id if self.target_parent_id is not None: result['targetParentId'] = self.target_parent_id if self.add_conflict_policy is not None: result['addConflictPolicy'] = self.add_conflict_policy if self.union_id is not None: result['unionId'] = self.union_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('targetSpaceId') is not None: self.target_space_id = m.get('targetSpaceId') if m.get('targetParentId') is not None: self.target_parent_id = m.get('targetParentId') if m.get('addConflictPolicy') is not None: self.add_conflict_policy = m.get('addConflictPolicy') if m.get('unionId') is not None: self.union_id = m.get('unionId') return self class CopyFileResponseBodyFile(TeaModel): def __init__( self, space_id: str = None, parent_id: str = None, file_id: str = None, file_name: str = None, file_path: str = None, file_type: str = None, content_type: str = None, file_extension: str = None, file_size: int = None, create_time: str = None, modify_time: str = None, creator: str = None, modifier: str = None, ): # 空间id self.space_id = space_id # 父目录id self.parent_id = parent_id # 文件id self.file_id = file_id # 文件名称 self.file_name = file_name # 文件路径 self.file_path = file_path # 文件类型 self.file_type = file_type # 文件内容类型 self.content_type = content_type # 文件后缀 self.file_extension = file_extension # 文件大小 self.file_size = file_size # 创建时间 self.create_time = create_time # 修改时间 self.modify_time = modify_time # 创建者 self.creator = creator # 修改者 self.modifier = modifier def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.space_id is not None: result['spaceId'] = self.space_id if self.parent_id is not None: result['parentId'] = self.parent_id if self.file_id is not None: result['fileId'] = self.file_id if self.file_name is not None: result['fileName'] = self.file_name if self.file_path is not None: result['filePath'] = self.file_path if self.file_type is not None: result['fileType'] = self.file_type if self.content_type is not None: result['contentType'] = self.content_type if self.file_extension is not None: result['fileExtension'] = self.file_extension if self.file_size is not None: result['fileSize'] = self.file_size if self.create_time is not None: result['createTime'] = self.create_time if self.modify_time is not None: result['modifyTime'] = self.modify_time if self.creator is not None: result['creator'] = self.creator if self.modifier is not None: result['modifier'] = self.modifier return result def from_map(self, m: dict = None): m = m or dict() if m.get('spaceId') is not None: self.space_id = m.get('spaceId') if m.get('parentId') is not None: self.parent_id = m.get('parentId') if m.get('fileId') is not None: self.file_id = m.get('fileId') if m.get('fileName') is not None: self.file_name = m.get('fileName') if m.get('filePath') is not None: self.file_path = m.get('filePath') if m.get('fileType') is not None: self.file_type = m.get('fileType') if m.get('contentType') is not None: self.content_type = m.get('contentType') if m.get('fileExtension') is not None: self.file_extension = m.get('fileExtension') if m.get('fileSize') is not None: self.file_size = m.get('fileSize') if m.get('createTime') is not None: self.create_time = m.get('createTime') if m.get('modifyTime') is not None: self.modify_time = m.get('modifyTime') if m.get('creator') is not None: self.creator = m.get('creator') if m.get('modifier') is not None: self.modifier = m.get('modifier') return self class CopyFileResponseBody(TeaModel): def __init__( self, file: CopyFileResponseBodyFile = None, task_id: str = None, ): # 文件信息 self.file = file # 异步任务id self.task_id = task_id def validate(self): if self.file: self.file.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.file is not None: result['file'] = self.file.to_map() if self.task_id is not None: result['taskId'] = self.task_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('file') is not None: temp_model = CopyFileResponseBodyFile() self.file = temp_model.from_map(m['file']) if m.get('taskId') is not None: self.task_id = m.get('taskId') return self class CopyFileResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: CopyFileResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = CopyFileResponseBody() self.body = temp_model.from_map(m['body']) return self class DeleteSpaceHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class DeleteSpaceRequest(TeaModel): def __init__( self, union_id: str = None, ): # 用户id self.union_id = union_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.union_id is not None: result['unionId'] = self.union_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('unionId') is not None: self.union_id = m.get('unionId') return self class DeleteSpaceResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, ): self.headers = headers def validate(self): self.validate_required(self.headers, 'headers') def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') return self class ClearRecycleFilesHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class ClearRecycleFilesRequest(TeaModel): def __init__( self, recycle_type: str = None, union_id: str = None, ): # 回收站类型 self.recycle_type = recycle_type # 用户id self.union_id = union_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.recycle_type is not None: result['recycleType'] = self.recycle_type if self.union_id is not None: result['unionId'] = self.union_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('recycleType') is not None: self.recycle_type = m.get('recycleType') if m.get('unionId') is not None: self.union_id = m.get('unionId') return self class ClearRecycleFilesResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, ): self.headers = headers def validate(self): self.validate_required(self.headers, 'headers') def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') return self class ManagementListSpacesHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class ManagementListSpacesRequest(TeaModel): def __init__( self, space_ids: List[str] = None, union_id: str = None, ): # 空间id列表 self.space_ids = space_ids # 用户id self.union_id = union_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.space_ids is not None: result['spaceIds'] = self.space_ids if self.union_id is not None: result['unionId'] = self.union_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('spaceIds') is not None: self.space_ids = m.get('spaceIds') if m.get('unionId') is not None: self.union_id = m.get('unionId') return self class ManagementListSpacesResponseBodySpaces(TeaModel): def __init__( self, space_id: str = None, space_name: str = None, space_type: str = None, quota: int = None, used_quota: int = None, permission_mode: str = None, create_time: str = None, modify_time: str = None, ): # 空间id self.space_id = space_id # 空间名称 self.space_name = space_name # 空间类型 self.space_type = space_type # 空间总额度 self.quota = quota # 空间已使用额度 self.used_quota = used_quota # 授权模式 self.permission_mode = permission_mode # 创建时间 self.create_time = create_time # 修改时间 self.modify_time = modify_time def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.space_id is not None: result['spaceId'] = self.space_id if self.space_name is not None: result['spaceName'] = self.space_name if self.space_type is not None: result['spaceType'] = self.space_type if self.quota is not None: result['quota'] = self.quota if self.used_quota is not None: result['usedQuota'] = self.used_quota if self.permission_mode is not None: result['permissionMode'] = self.permission_mode if self.create_time is not None: result['createTime'] = self.create_time if self.modify_time is not None: result['modifyTime'] = self.modify_time return result def from_map(self, m: dict = None): m = m or dict() if m.get('spaceId') is not None: self.space_id = m.get('spaceId') if m.get('spaceName') is not None: self.space_name = m.get('spaceName') if m.get('spaceType') is not None: self.space_type = m.get('spaceType') if m.get('quota') is not None: self.quota = m.get('quota') if m.get('usedQuota') is not None: self.used_quota = m.get('usedQuota') if m.get('permissionMode') is not None: self.permission_mode = m.get('permissionMode') if m.get('createTime') is not None: self.create_time = m.get('createTime') if m.get('modifyTime') is not None: self.modify_time = m.get('modifyTime') return self class ManagementListSpacesResponseBody(TeaModel): def __init__( self, spaces: List[ManagementListSpacesResponseBodySpaces] = None, ): self.spaces = spaces def validate(self): if self.spaces: for k in self.spaces: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['spaces'] = [] if self.spaces is not None: for k in self.spaces: result['spaces'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() self.spaces = [] if m.get('spaces') is not None: for k in m.get('spaces'): temp_model = ManagementListSpacesResponseBodySpaces() self.spaces.append(temp_model.from_map(k)) return self class ManagementListSpacesResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: ManagementListSpacesResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = ManagementListSpacesResponseBody() self.body = temp_model.from_map(m['body']) return self class DeleteFileHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class DeleteFileRequest(TeaModel): def __init__( self, union_id: str = None, delete_policy: str = None, ): # 用户id self.union_id = union_id # 删除策略 self.delete_policy = delete_policy def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.union_id is not None: result['unionId'] = self.union_id if self.delete_policy is not None: result['deletePolicy'] = self.delete_policy return result def from_map(self, m: dict = None): m = m or dict() if m.get('unionId') is not None: self.union_id = m.get('unionId') if m.get('deletePolicy') is not None: self.delete_policy = m.get('deletePolicy') return self class DeleteFileResponseBody(TeaModel): def __init__( self, success: bool = None, ): # 是否成功 self.success = success def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.success is not None: result['success'] = self.success return result def from_map(self, m: dict = None): m = m or dict() if m.get('success') is not None: self.success = m.get('success') return self class DeleteFileResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: DeleteFileResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = DeleteFileResponseBody() self.body = temp_model.from_map(m['body']) return self class AddFileHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class AddFileRequest(TeaModel): def __init__( self, parent_id: str = None, file_type: str = None, file_name: str = None, media_id: str = None, add_conflict_policy: str = None, union_id: str = None, ): # 父目录id self.parent_id = parent_id # 文件类型 self.file_type = file_type # 文件名 self.file_name = file_name # mediaId self.media_id = media_id # 文件名冲突策略 self.add_conflict_policy = add_conflict_policy # 用户id self.union_id = union_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.parent_id is not None: result['parentId'] = self.parent_id if self.file_type is not None: result['fileType'] = self.file_type if self.file_name is not None: result['fileName'] = self.file_name if self.media_id is not None: result['mediaId'] = self.media_id if self.add_conflict_policy is not None: result['addConflictPolicy'] = self.add_conflict_policy if self.union_id is not None: result['unionId'] = self.union_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('parentId') is not None: self.parent_id = m.get('parentId') if m.get('fileType') is not None: self.file_type = m.get('fileType') if m.get('fileName') is not None: self.file_name = m.get('fileName') if m.get('mediaId') is not None: self.media_id = m.get('mediaId') if m.get('addConflictPolicy') is not None: self.add_conflict_policy = m.get('addConflictPolicy') if m.get('unionId') is not None: self.union_id = m.get('unionId') return self class AddFileResponseBody(TeaModel): def __init__( self, space_id: str = None, parent_id: str = None, file_id: str = None, file_name: str = None, file_path: str = None, file_type: str = None, content_type: str = None, file_extension: str = None, file_size: int = None, create_time: str = None, modify_time: str = None, creator: str = None, modifier: str = None, ): # 空间id self.space_id = space_id # 父目录id self.parent_id = parent_id # 文件id self.file_id = file_id # 文件名称 self.file_name = file_name # 文件路径 self.file_path = file_path # 文件类型 self.file_type = file_type # 文件内容类型 self.content_type = content_type # 文件后缀 self.file_extension = file_extension # 文件大小 self.file_size = file_size # 创建时间 self.create_time = create_time # 修改时间 self.modify_time = modify_time # 创建者 self.creator = creator # 修改者 self.modifier = modifier def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.space_id is not None: result['spaceId'] = self.space_id if self.parent_id is not None: result['parentId'] = self.parent_id if self.file_id is not None: result['fileId'] = self.file_id if self.file_name is not None: result['fileName'] = self.file_name if self.file_path is not None: result['filePath'] = self.file_path if self.file_type is not None: result['fileType'] = self.file_type if self.content_type is not None: result['contentType'] = self.content_type if self.file_extension is not None: result['fileExtension'] = self.file_extension if self.file_size is not None: result['fileSize'] = self.file_size if self.create_time is not None: result['createTime'] = self.create_time if self.modify_time is not None: result['modifyTime'] = self.modify_time if self.creator is not None: result['creator'] = self.creator if self.modifier is not None: result['modifier'] = self.modifier return result def from_map(self, m: dict = None): m = m or dict() if m.get('spaceId') is not None: self.space_id = m.get('spaceId') if m.get('parentId') is not None: self.parent_id = m.get('parentId') if m.get('fileId') is not None: self.file_id = m.get('fileId') if m.get('fileName') is not None: self.file_name = m.get('fileName') if m.get('filePath') is not None: self.file_path = m.get('filePath') if m.get('fileType') is not None: self.file_type = m.get('fileType') if m.get('contentType') is not None: self.content_type = m.get('contentType') if m.get('fileExtension') is not None: self.file_extension = m.get('fileExtension') if m.get('fileSize') is not None: self.file_size = m.get('fileSize') if m.get('createTime') is not None: self.create_time = m.get('createTime') if m.get('modifyTime') is not None: self.modify_time = m.get('modifyTime') if m.get('creator') is not None: self.creator = m.get('creator') if m.get('modifier') is not None: self.modifier = m.get('modifier') return self class AddFileResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: AddFileResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = AddFileResponseBody() self.body = temp_model.from_map(m['body']) return self class GetPreviewInfoHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetPreviewInfoRequest(TeaModel): def __init__( self, union_id: str = None, ): # 用户id self.union_id = union_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.union_id is not None: result['unionId'] = self.union_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('unionId') is not None: self.union_id = m.get('unionId') return self class GetPreviewInfoResponseBodyInfo(TeaModel): def __init__( self, url: str = None, ): # 预览url self.url = url def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.url is not None: result['url'] = self.url return result def from_map(self, m: dict = None): m = m or dict() if m.get('url') is not None: self.url = m.get('url') return self class GetPreviewInfoResponseBody(TeaModel): def __init__( self, info: GetPreviewInfoResponseBodyInfo = None, ): # 预览信息 self.info = info def validate(self): if self.info: self.info.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.info is not None: result['info'] = self.info.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('info') is not None: temp_model = GetPreviewInfoResponseBodyInfo() self.info = temp_model.from_map(m['info']) return self class GetPreviewInfoResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetPreviewInfoResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetPreviewInfoResponseBody() self.body = temp_model.from_map(m['body']) return self class InfoSpaceHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class InfoSpaceRequest(TeaModel): def __init__( self, union_id: str = None, ): # 用户id self.union_id = union_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.union_id is not None: result['unionId'] = self.union_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('unionId') is not None: self.union_id = m.get('unionId') return self class InfoSpaceResponseBody(TeaModel): def __init__( self, space_id: str = None, space_name: str = None, space_type: str = None, quota: int = None, used_quota: int = None, permission_mode: str = None, create_time: str = None, modify_time: str = None, ): # 空间id self.space_id = space_id # 空间名称 self.space_name = space_name # 空间类型 self.space_type = space_type # 容量 self.quota = quota # 已使用容量 self.used_quota = used_quota # 授权模式 self.permission_mode = permission_mode # 创建时间 self.create_time = create_time # 修改时间 self.modify_time = modify_time def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.space_id is not None: result['spaceId'] = self.space_id if self.space_name is not None: result['spaceName'] = self.space_name if self.space_type is not None: result['spaceType'] = self.space_type if self.quota is not None: result['quota'] = self.quota if self.used_quota is not None: result['usedQuota'] = self.used_quota if self.permission_mode is not None: result['permissionMode'] = self.permission_mode if self.create_time is not None: result['createTime'] = self.create_time if self.modify_time is not None: result['modifyTime'] = self.modify_time return result def from_map(self, m: dict = None): m = m or dict() if m.get('spaceId') is not None: self.space_id = m.get('spaceId') if m.get('spaceName') is not None: self.space_name = m.get('spaceName') if m.get('spaceType') is not None: self.space_type = m.get('spaceType') if m.get('quota') is not None: self.quota = m.get('quota') if m.get('usedQuota') is not None: self.used_quota = m.get('usedQuota') if m.get('permissionMode') is not None: self.permission_mode = m.get('permissionMode') if m.get('createTime') is not None: self.create_time = m.get('createTime') if m.get('modifyTime') is not None: self.modify_time = m.get('modifyTime') return self class InfoSpaceResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: InfoSpaceResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = InfoSpaceResponseBody() self.body = temp_model.from_map(m['body']) return self class ManagementModifySpaceHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class ManagementModifySpaceRequest(TeaModel): def __init__( self, space_ids: List[str] = None, quota: int = None, union_id: str = None, ): # 空间id列表 self.space_ids = space_ids # 容量 self.quota = quota # 用户id self.union_id = union_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.space_ids is not None: result['spaceIds'] = self.space_ids if self.quota is not None: result['quota'] = self.quota if self.union_id is not None: result['unionId'] = self.union_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('spaceIds') is not None: self.space_ids = m.get('spaceIds') if m.get('quota') is not None: self.quota = m.get('quota') if m.get('unionId') is not None: self.union_id = m.get('unionId') return self class ManagementModifySpaceResponseBodySpaces(TeaModel): def __init__( self, space_id: str = None, space_name: str = None, space_type: str = None, quota: int = None, used_quota: int = None, permission_mode: str = None, create_time: str = None, modify_time: str = None, ): # 空间id self.space_id = space_id # 空间名称 self.space_name = space_name # 空间类型 self.space_type = space_type # 空间总额度 self.quota = quota # 空间已使用额度 self.used_quota = used_quota # 授权模式 self.permission_mode = permission_mode # 创建时间 self.create_time = create_time # 修改时间 self.modify_time = modify_time def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.space_id is not None: result['spaceId'] = self.space_id if self.space_name is not None: result['spaceName'] = self.space_name if self.space_type is not None: result['spaceType'] = self.space_type if self.quota is not None: result['quota'] = self.quota if self.used_quota is not None: result['usedQuota'] = self.used_quota if self.permission_mode is not None: result['permissionMode'] = self.permission_mode if self.create_time is not None: result['createTime'] = self.create_time if self.modify_time is not None: result['modifyTime'] = self.modify_time return result def from_map(self, m: dict = None): m = m or dict() if m.get('spaceId') is not None: self.space_id = m.get('spaceId') if m.get('spaceName') is not None: self.space_name = m.get('spaceName') if m.get('spaceType') is not None: self.space_type = m.get('spaceType') if m.get('quota') is not None: self.quota = m.get('quota') if m.get('usedQuota') is not None: self.used_quota = m.get('usedQuota') if m.get('permissionMode') is not None: self.permission_mode = m.get('permissionMode') if m.get('createTime') is not None: self.create_time = m.get('createTime') if m.get('modifyTime') is not None: self.modify_time = m.get('modifyTime') return self class ManagementModifySpaceResponseBody(TeaModel): def __init__( self, spaces: List[ManagementModifySpaceResponseBodySpaces] = None, ): # 空间列表 self.spaces = spaces def validate(self): if self.spaces: for k in self.spaces: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['spaces'] = [] if self.spaces is not None: for k in self.spaces: result['spaces'].append(k.to_map() if k else None) return result def from_map(self, m: dict = None): m = m or dict() self.spaces = [] if m.get('spaces') is not None: for k in m.get('spaces'): temp_model = ManagementModifySpaceResponseBodySpaces() self.spaces.append(temp_model.from_map(k)) return self class ManagementModifySpaceResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: ManagementModifySpaceResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = ManagementModifySpaceResponseBody() self.body = temp_model.from_map(m['body']) return self class ModifyPermissionHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class ModifyPermissionRequestMembers(TeaModel): def __init__( self, corp_id: str = None, member_type: str = None, member_id: str = None, ): # 企业corpId self.corp_id = corp_id # 成员类型 self.member_type = member_type # 成员id self.member_id = member_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.corp_id is not None: result['corpId'] = self.corp_id if self.member_type is not None: result['memberType'] = self.member_type if self.member_id is not None: result['memberId'] = self.member_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('corpId') is not None: self.corp_id = m.get('corpId') if m.get('memberType') is not None: self.member_type = m.get('memberType') if m.get('memberId') is not None: self.member_id = m.get('memberId') return self class ModifyPermissionRequest(TeaModel): def __init__( self, role: str = None, members: List[ModifyPermissionRequestMembers] = None, union_id: str = None, ): # 权限角色 self.role = role self.members = members # 用户id self.union_id = union_id def validate(self): if self.members: for k in self.members: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.role is not None: result['role'] = self.role result['members'] = [] if self.members is not None: for k in self.members: result['members'].append(k.to_map() if k else None) if self.union_id is not None: result['unionId'] = self.union_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('role') is not None: self.role = m.get('role') self.members = [] if m.get('members') is not None: for k in m.get('members'): temp_model = ModifyPermissionRequestMembers() self.members.append(temp_model.from_map(k)) if m.get('unionId') is not None: self.union_id = m.get('unionId') return self class ModifyPermissionResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, ): self.headers = headers def validate(self): self.validate_required(self.headers, 'headers') def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') return self class GrantPrivilegeOfCustomSpaceHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GrantPrivilegeOfCustomSpaceRequest(TeaModel): def __init__( self, type: str = None, user_id: str = None, file_ids: List[str] = None, duration: int = None, union_id: str = None, ): # 权限类型 self.type = type # 被授予权限的员工id self.user_id = user_id # 授权访问的文件id列表 self.file_ids = file_ids # 权限有效时间 self.duration = duration # 用户id self.union_id = union_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.type is not None: result['type'] = self.type if self.user_id is not None: result['userId'] = self.user_id if self.file_ids is not None: result['fileIds'] = self.file_ids if self.duration is not None: result['duration'] = self.duration if self.union_id is not None: result['unionId'] = self.union_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('type') is not None: self.type = m.get('type') if m.get('userId') is not None: self.user_id = m.get('userId') if m.get('fileIds') is not None: self.file_ids = m.get('fileIds') if m.get('duration') is not None: self.duration = m.get('duration') if m.get('unionId') is not None: self.union_id = m.get('unionId') return self class GrantPrivilegeOfCustomSpaceResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, ): self.headers = headers def validate(self): self.validate_required(self.headers, 'headers') def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') return self class GetDownloadInfoHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetDownloadInfoRequest(TeaModel): def __init__( self, union_id: str = None, with_region: bool = None, with_internal_resource_url: bool = None, ): # 用户id self.union_id = union_id # 是否返回区域信息 self.with_region = with_region # 是否返回内网加签url self.with_internal_resource_url = with_internal_resource_url def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.union_id is not None: result['unionId'] = self.union_id if self.with_region is not None: result['withRegion'] = self.with_region if self.with_internal_resource_url is not None: result['withInternalResourceUrl'] = self.with_internal_resource_url return result def from_map(self, m: dict = None): m = m or dict() if m.get('unionId') is not None: self.union_id = m.get('unionId') if m.get('withRegion') is not None: self.with_region = m.get('withRegion') if m.get('withInternalResourceUrl') is not None: self.with_internal_resource_url = m.get('withInternalResourceUrl') return self class GetDownloadInfoResponseBodyDownloadInfo(TeaModel): def __init__( self, resource_url: str = None, internal_resource_url: str = None, expiration_seconds: int = None, headers: Dict[str, Any] = None, ): # 加签url self.resource_url = resource_url # 内网加签url self.internal_resource_url = internal_resource_url # 加签url过期时间 self.expiration_seconds = expiration_seconds # headers self.headers = headers def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.resource_url is not None: result['resourceUrl'] = self.resource_url if self.internal_resource_url is not None: result['internalResourceUrl'] = self.internal_resource_url if self.expiration_seconds is not None: result['expirationSeconds'] = self.expiration_seconds if self.headers is not None: result['headers'] = self.headers return result def from_map(self, m: dict = None): m = m or dict() if m.get('resourceUrl') is not None: self.resource_url = m.get('resourceUrl') if m.get('internalResourceUrl') is not None: self.internal_resource_url = m.get('internalResourceUrl') if m.get('expirationSeconds') is not None: self.expiration_seconds = m.get('expirationSeconds') if m.get('headers') is not None: self.headers = m.get('headers') return self class GetDownloadInfoResponseBody(TeaModel): def __init__( self, download_info: GetDownloadInfoResponseBodyDownloadInfo = None, region: str = None, ): # 下载加签url信息 self.download_info = download_info # 文件所存储的区域 self.region = region def validate(self): if self.download_info: self.download_info.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.download_info is not None: result['downloadInfo'] = self.download_info.to_map() if self.region is not None: result['region'] = self.region return result def from_map(self, m: dict = None): m = m or dict() if m.get('downloadInfo') is not None: temp_model = GetDownloadInfoResponseBodyDownloadInfo() self.download_info = temp_model.from_map(m['downloadInfo']) if m.get('region') is not None: self.region = m.get('region') return self class GetDownloadInfoResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetDownloadInfoResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetDownloadInfoResponseBody() self.body = temp_model.from_map(m['body']) return self class GetMySpaceInfoHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetMySpaceInfoRequest(TeaModel): def __init__( self, union_id: str = None, ): # 用户id self.union_id = union_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.union_id is not None: result['unionId'] = self.union_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('unionId') is not None: self.union_id = m.get('unionId') return self class GetMySpaceInfoResponseBody(TeaModel): def __init__( self, space_id: str = None, space_name: str = None, space_type: str = None, quota: int = None, used_quota: int = None, permission_mode: str = None, create_time: str = None, modify_time: str = None, ): # 空间id self.space_id = space_id # 空间名称 self.space_name = space_name # 空间类型 self.space_type = space_type # 容量 self.quota = quota # 已使用容量 self.used_quota = used_quota # 授权模式 self.permission_mode = permission_mode # 创建时间 self.create_time = create_time # 修改时间 self.modify_time = modify_time def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.space_id is not None: result['spaceId'] = self.space_id if self.space_name is not None: result['spaceName'] = self.space_name if self.space_type is not None: result['spaceType'] = self.space_type if self.quota is not None: result['quota'] = self.quota if self.used_quota is not None: result['usedQuota'] = self.used_quota if self.permission_mode is not None: result['permissionMode'] = self.permission_mode if self.create_time is not None: result['createTime'] = self.create_time if self.modify_time is not None: result['modifyTime'] = self.modify_time return result def from_map(self, m: dict = None): m = m or dict() if m.get('spaceId') is not None: self.space_id = m.get('spaceId') if m.get('spaceName') is not None: self.space_name = m.get('spaceName') if m.get('spaceType') is not None: self.space_type = m.get('spaceType') if m.get('quota') is not None: self.quota = m.get('quota') if m.get('usedQuota') is not None: self.used_quota = m.get('usedQuota') if m.get('permissionMode') is not None: self.permission_mode = m.get('permissionMode') if m.get('createTime') is not None: self.create_time = m.get('createTime') if m.get('modifyTime') is not None: self.modify_time = m.get('modifyTime') return self class GetMySpaceInfoResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetMySpaceInfoResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetMySpaceInfoResponseBody() self.body = temp_model.from_map(m['body']) return self class GetUploadInfoHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetUploadInfoRequest(TeaModel): def __init__( self, union_id: str = None, file_name: str = None, file_size: int = None, md_5: str = None, add_conflict_policy: str = None, media_id: str = None, with_region: bool = None, with_internal_end_point: bool = None, caller_region: str = None, ): # 用户id self.union_id = union_id # 文件名 self.file_name = file_name # 文件大小 self.file_size = file_size # 文件md5 self.md_5 = md_5 # 文件名称冲突策略 self.add_conflict_policy = add_conflict_policy # mediaId self.media_id = media_id # 是否返回区域 self.with_region = with_region # 是否返回OSS内网访问域名 self.with_internal_end_point = with_internal_end_point # 调用方所处区域 self.caller_region = caller_region def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.union_id is not None: result['unionId'] = self.union_id if self.file_name is not None: result['fileName'] = self.file_name if self.file_size is not None: result['fileSize'] = self.file_size if self.md_5 is not None: result['md5'] = self.md_5 if self.add_conflict_policy is not None: result['addConflictPolicy'] = self.add_conflict_policy if self.media_id is not None: result['mediaId'] = self.media_id if self.with_region is not None: result['withRegion'] = self.with_region if self.with_internal_end_point is not None: result['withInternalEndPoint'] = self.with_internal_end_point if self.caller_region is not None: result['callerRegion'] = self.caller_region return result def from_map(self, m: dict = None): m = m or dict() if m.get('unionId') is not None: self.union_id = m.get('unionId') if m.get('fileName') is not None: self.file_name = m.get('fileName') if m.get('fileSize') is not None: self.file_size = m.get('fileSize') if m.get('md5') is not None: self.md_5 = m.get('md5') if m.get('addConflictPolicy') is not None: self.add_conflict_policy = m.get('addConflictPolicy') if m.get('mediaId') is not None: self.media_id = m.get('mediaId') if m.get('withRegion') is not None: self.with_region = m.get('withRegion') if m.get('withInternalEndPoint') is not None: self.with_internal_end_point = m.get('withInternalEndPoint') if m.get('callerRegion') is not None: self.caller_region = m.get('callerRegion') return self class GetUploadInfoResponseBodyStsUploadInfo(TeaModel): def __init__( self, bucket: str = None, end_point: str = None, internal_end_point: str = None, access_key_id: str = None, access_key_secret: str = None, access_token: str = None, access_token_expiration_millis: int = None, media_id: str = None, ): # bucket self.bucket = bucket # endPoint self.end_point = end_point # 内网endPoint self.internal_end_point = internal_end_point # accessKeyId self.access_key_id = access_key_id # accessKeySecret self.access_key_secret = access_key_secret # accessToken self.access_token = access_token # accessTokenExpiration self.access_token_expiration_millis = access_token_expiration_millis # mediaId self.media_id = media_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.bucket is not None: result['bucket'] = self.bucket if self.end_point is not None: result['endPoint'] = self.end_point if self.internal_end_point is not None: result['internalEndPoint'] = self.internal_end_point if self.access_key_id is not None: result['accessKeyId'] = self.access_key_id if self.access_key_secret is not None: result['accessKeySecret'] = self.access_key_secret if self.access_token is not None: result['accessToken'] = self.access_token if self.access_token_expiration_millis is not None: result['accessTokenExpirationMillis'] = self.access_token_expiration_millis if self.media_id is not None: result['mediaId'] = self.media_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('bucket') is not None: self.bucket = m.get('bucket') if m.get('endPoint') is not None: self.end_point = m.get('endPoint') if m.get('internalEndPoint') is not None: self.internal_end_point = m.get('internalEndPoint') if m.get('accessKeyId') is not None: self.access_key_id = m.get('accessKeyId') if m.get('accessKeySecret') is not None: self.access_key_secret = m.get('accessKeySecret') if m.get('accessToken') is not None: self.access_token = m.get('accessToken') if m.get('accessTokenExpirationMillis') is not None: self.access_token_expiration_millis = m.get('accessTokenExpirationMillis') if m.get('mediaId') is not None: self.media_id = m.get('mediaId') return self class GetUploadInfoResponseBodyHeaderSignatureUploadInfo(TeaModel): def __init__( self, resource_url: str = None, internal_resource_url: str = None, expiration_seconds: int = None, headers: Dict[str, Any] = None, ): # 上传地址 self.resource_url = resource_url # 内网上传地址 self.internal_resource_url = internal_resource_url # 过期秒数 self.expiration_seconds = expiration_seconds # header加签信息 self.headers = headers def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.resource_url is not None: result['resourceUrl'] = self.resource_url if self.internal_resource_url is not None: result['internalResourceUrl'] = self.internal_resource_url if self.expiration_seconds is not None: result['expirationSeconds'] = self.expiration_seconds if self.headers is not None: result['headers'] = self.headers return result def from_map(self, m: dict = None): m = m or dict() if m.get('resourceUrl') is not None: self.resource_url = m.get('resourceUrl') if m.get('internalResourceUrl') is not None: self.internal_resource_url = m.get('internalResourceUrl') if m.get('expirationSeconds') is not None: self.expiration_seconds = m.get('expirationSeconds') if m.get('headers') is not None: self.headers = m.get('headers') return self class GetUploadInfoResponseBody(TeaModel): def __init__( self, sts_upload_info: GetUploadInfoResponseBodyStsUploadInfo = None, header_signature_upload_info: GetUploadInfoResponseBodyHeaderSignatureUploadInfo = None, region: str = None, ): self.sts_upload_info = sts_upload_info self.header_signature_upload_info = header_signature_upload_info # 文件所存储的区域 self.region = region def validate(self): if self.sts_upload_info: self.sts_upload_info.validate() if self.header_signature_upload_info: self.header_signature_upload_info.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.sts_upload_info is not None: result['stsUploadInfo'] = self.sts_upload_info.to_map() if self.header_signature_upload_info is not None: result['headerSignatureUploadInfo'] = self.header_signature_upload_info.to_map() if self.region is not None: result['region'] = self.region return result def from_map(self, m: dict = None): m = m or dict() if m.get('stsUploadInfo') is not None: temp_model = GetUploadInfoResponseBodyStsUploadInfo() self.sts_upload_info = temp_model.from_map(m['stsUploadInfo']) if m.get('headerSignatureUploadInfo') is not None: temp_model = GetUploadInfoResponseBodyHeaderSignatureUploadInfo() self.header_signature_upload_info = temp_model.from_map(m['headerSignatureUploadInfo']) if m.get('region') is not None: self.region = m.get('region') return self class GetUploadInfoResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetUploadInfoResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetUploadInfoResponseBody() self.body = temp_model.from_map(m['body']) return self class DeletePermissionHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class DeletePermissionRequestMembers(TeaModel): def __init__( self, corp_id: str = None, member_type: str = None, member_id: str = None, ): # 企业corpId self.corp_id = corp_id # 成员类型 self.member_type = member_type # 成员id self.member_id = member_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.corp_id is not None: result['corpId'] = self.corp_id if self.member_type is not None: result['memberType'] = self.member_type if self.member_id is not None: result['memberId'] = self.member_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('corpId') is not None: self.corp_id = m.get('corpId') if m.get('memberType') is not None: self.member_type = m.get('memberType') if m.get('memberId') is not None: self.member_id = m.get('memberId') return self class DeletePermissionRequest(TeaModel): def __init__( self, role: str = None, members: List[DeletePermissionRequestMembers] = None, union_id: str = None, ): # 权限角色 self.role = role self.members = members # 用户id self.union_id = union_id def validate(self): if self.members: for k in self.members: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.role is not None: result['role'] = self.role result['members'] = [] if self.members is not None: for k in self.members: result['members'].append(k.to_map() if k else None) if self.union_id is not None: result['unionId'] = self.union_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('role') is not None: self.role = m.get('role') self.members = [] if m.get('members') is not None: for k in m.get('members'): temp_model = DeletePermissionRequestMembers() self.members.append(temp_model.from_map(k)) if m.get('unionId') is not None: self.union_id = m.get('unionId') return self class DeletePermissionResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, ): self.headers = headers def validate(self): self.validate_required(self.headers, 'headers') def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') return self class AddCustomSpaceHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class AddCustomSpaceRequest(TeaModel): def __init__( self, identifier: str = None, biz_type: str = None, permission_mode: str = None, union_id: str = None, ): # 空间标识 self.identifier = identifier # 业务类型 self.biz_type = biz_type # 授权模式 self.permission_mode = permission_mode # 用户id self.union_id = union_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.identifier is not None: result['identifier'] = self.identifier if self.biz_type is not None: result['bizType'] = self.biz_type if self.permission_mode is not None: result['permissionMode'] = self.permission_mode if self.union_id is not None: result['unionId'] = self.union_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('identifier') is not None: self.identifier = m.get('identifier') if m.get('bizType') is not None: self.biz_type = m.get('bizType') if m.get('permissionMode') is not None: self.permission_mode = m.get('permissionMode') if m.get('unionId') is not None: self.union_id = m.get('unionId') return self class AddCustomSpaceResponseBody(TeaModel): def __init__( self, space_id: str = None, space_name: str = None, space_type: str = None, quota: int = None, used_quota: int = None, permission_mode: str = None, create_time: str = None, modify_time: str = None, ): # 空间id self.space_id = space_id # 空间名称 self.space_name = space_name # 空间类型 self.space_type = space_type # 空间总额度 self.quota = quota # 空间已使用额度 self.used_quota = used_quota # 授权模式 self.permission_mode = permission_mode # 创建时间 self.create_time = create_time # 修改时间 self.modify_time = modify_time def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.space_id is not None: result['spaceId'] = self.space_id if self.space_name is not None: result['spaceName'] = self.space_name if self.space_type is not None: result['spaceType'] = self.space_type if self.quota is not None: result['quota'] = self.quota if self.used_quota is not None: result['usedQuota'] = self.used_quota if self.permission_mode is not None: result['permissionMode'] = self.permission_mode if self.create_time is not None: result['createTime'] = self.create_time if self.modify_time is not None: result['modifyTime'] = self.modify_time return result def from_map(self, m: dict = None): m = m or dict() if m.get('spaceId') is not None: self.space_id = m.get('spaceId') if m.get('spaceName') is not None: self.space_name = m.get('spaceName') if m.get('spaceType') is not None: self.space_type = m.get('spaceType') if m.get('quota') is not None: self.quota = m.get('quota') if m.get('usedQuota') is not None: self.used_quota = m.get('usedQuota') if m.get('permissionMode') is not None: self.permission_mode = m.get('permissionMode') if m.get('createTime') is not None: self.create_time = m.get('createTime') if m.get('modifyTime') is not None: self.modify_time = m.get('modifyTime') return self class AddCustomSpaceResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: AddCustomSpaceResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = AddCustomSpaceResponseBody() self.body = temp_model.from_map(m['body']) return self class MoveFilesHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class MoveFilesRequest(TeaModel): def __init__( self, file_ids: List[str] = None, target_space_id: str = None, target_parent_id: str = None, add_conflict_policy: str = None, union_id: str = None, ): # 文件id列表 self.file_ids = file_ids # 目标空间id self.target_space_id = target_space_id # 目标父目录id self.target_parent_id = target_parent_id # 文件名冲突策略 self.add_conflict_policy = add_conflict_policy # 用户id self.union_id = union_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.file_ids is not None: result['fileIds'] = self.file_ids if self.target_space_id is not None: result['targetSpaceId'] = self.target_space_id if self.target_parent_id is not None: result['targetParentId'] = self.target_parent_id if self.add_conflict_policy is not None: result['addConflictPolicy'] = self.add_conflict_policy if self.union_id is not None: result['unionId'] = self.union_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('fileIds') is not None: self.file_ids = m.get('fileIds') if m.get('targetSpaceId') is not None: self.target_space_id = m.get('targetSpaceId') if m.get('targetParentId') is not None: self.target_parent_id = m.get('targetParentId') if m.get('addConflictPolicy') is not None: self.add_conflict_policy = m.get('addConflictPolicy') if m.get('unionId') is not None: self.union_id = m.get('unionId') return self class MoveFilesResponseBodyFiles(TeaModel): def __init__( self, space_id: str = None, parent_id: str = None, file_id: str = None, file_name: str = None, file_path: str = None, file_type: str = None, content_type: str = None, file_extension: str = None, file_size: int = None, create_time: str = None, modify_time: str = None, creator: str = None, modifier: str = None, ): # 空间id self.space_id = space_id # 父目录id self.parent_id = parent_id # 文件id self.file_id = file_id # 文件名称 self.file_name = file_name # 文件路径 self.file_path = file_path # 文件类型 self.file_type = file_type # 文件内容类型 self.content_type = content_type # 文件后缀 self.file_extension = file_extension # 文件大小 self.file_size = file_size # 创建时间 self.create_time = create_time # 修改时间 self.modify_time = modify_time # 创建者 self.creator = creator # 修改者 self.modifier = modifier def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.space_id is not None: result['spaceId'] = self.space_id if self.parent_id is not None: result['parentId'] = self.parent_id if self.file_id is not None: result['fileId'] = self.file_id if self.file_name is not None: result['fileName'] = self.file_name if self.file_path is not None: result['filePath'] = self.file_path if self.file_type is not None: result['fileType'] = self.file_type if self.content_type is not None: result['contentType'] = self.content_type if self.file_extension is not None: result['fileExtension'] = self.file_extension if self.file_size is not None: result['fileSize'] = self.file_size if self.create_time is not None: result['createTime'] = self.create_time if self.modify_time is not None: result['modifyTime'] = self.modify_time if self.creator is not None: result['creator'] = self.creator if self.modifier is not None: result['modifier'] = self.modifier return result def from_map(self, m: dict = None): m = m or dict() if m.get('spaceId') is not None: self.space_id = m.get('spaceId') if m.get('parentId') is not None: self.parent_id = m.get('parentId') if m.get('fileId') is not None: self.file_id = m.get('fileId') if m.get('fileName') is not None: self.file_name = m.get('fileName') if m.get('filePath') is not None: self.file_path = m.get('filePath') if m.get('fileType') is not None: self.file_type = m.get('fileType') if m.get('contentType') is not None: self.content_type = m.get('contentType') if m.get('fileExtension') is not None: self.file_extension = m.get('fileExtension') if m.get('fileSize') is not None: self.file_size = m.get('fileSize') if m.get('createTime') is not None: self.create_time = m.get('createTime') if m.get('modifyTime') is not None: self.modify_time = m.get('modifyTime') if m.get('creator') is not None: self.creator = m.get('creator') if m.get('modifier') is not None: self.modifier = m.get('modifier') return self class MoveFilesResponseBody(TeaModel): def __init__( self, files: List[MoveFilesResponseBodyFiles] = None, task_id: str = None, ): # 文件信息列表 self.files = files # 异步任务id self.task_id = task_id def validate(self): if self.files: for k in self.files: if k: k.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() result['files'] = [] if self.files is not None: for k in self.files: result['files'].append(k.to_map() if k else None) if self.task_id is not None: result['taskId'] = self.task_id return result def from_map(self, m: dict = None): m = m or dict() self.files = [] if m.get('files') is not None: for k in m.get('files'): temp_model = MoveFilesResponseBodyFiles() self.files.append(temp_model.from_map(k)) if m.get('taskId') is not None: self.task_id = m.get('taskId') return self class MoveFilesResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: MoveFilesResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = MoveFilesResponseBody() self.body = temp_model.from_map(m['body']) return self class GetPrivilegeInfoHeaders(TeaModel): def __init__( self, common_headers: Dict[str, str] = None, x_acs_dingtalk_access_token: str = None, ): self.common_headers = common_headers self.x_acs_dingtalk_access_token = x_acs_dingtalk_access_token def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.common_headers is not None: result['commonHeaders'] = self.common_headers if self.x_acs_dingtalk_access_token is not None: result['x-acs-dingtalk-access-token'] = self.x_acs_dingtalk_access_token return result def from_map(self, m: dict = None): m = m or dict() if m.get('commonHeaders') is not None: self.common_headers = m.get('commonHeaders') if m.get('x-acs-dingtalk-access-token') is not None: self.x_acs_dingtalk_access_token = m.get('x-acs-dingtalk-access-token') return self class GetPrivilegeInfoRequest(TeaModel): def __init__( self, union_id: str = None, ): # 用户id self.union_id = union_id def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.union_id is not None: result['unionId'] = self.union_id return result def from_map(self, m: dict = None): m = m or dict() if m.get('unionId') is not None: self.union_id = m.get('unionId') return self class GetPrivilegeInfoResponseBody(TeaModel): def __init__( self, types: List[str] = None, ): # 类型列表 self.types = types def validate(self): pass def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.types is not None: result['types'] = self.types return result def from_map(self, m: dict = None): m = m or dict() if m.get('types') is not None: self.types = m.get('types') return self class GetPrivilegeInfoResponse(TeaModel): def __init__( self, headers: Dict[str, str] = None, body: GetPrivilegeInfoResponseBody = None, ): self.headers = headers self.body = body def validate(self): self.validate_required(self.headers, 'headers') self.validate_required(self.body, 'body') if self.body: self.body.validate() def to_map(self): _map = super().to_map() if _map is not None: return _map result = dict() if self.headers is not None: result['headers'] = self.headers if self.body is not None: result['body'] = self.body.to_map() return result def from_map(self, m: dict = None): m = m or dict() if m.get('headers') is not None: self.headers = m.get('headers') if m.get('body') is not None: temp_model = GetPrivilegeInfoResponseBody() self.body = temp_model.from_map(m['body']) return self

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99

0.567281

23,866

189,495

4.317104

0.018939

0.05178

0.093204

0.065514

0.886627

0.868934

0.857666

0.849998

0.844378

0.839341

0

0.000087

0.333307

189,495

6,323

100

29.96916

0.815459

0.011124

0

0.899981

1

0

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0

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false

0.017937

0.00039

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null

0

1

0

1

0

null

0

8

222901b99b1b13e3fe05e4079cb0c0f9dc9ca2b4

731

py

Python

com/beiwei/stats/eemd.py

wtwong316/tsd_analysis_with_es

04e9667b5fb6c5052e55053fe7838a79aab24fb5

[ "Apache-2.0" ]

null

com/beiwei/stats/eemd.py

wtwong316/tsd_analysis_with_es

04e9667b5fb6c5052e55053fe7838a79aab24fb5

[ "Apache-2.0" ]

null

com/beiwei/stats/eemd.py

wtwong316/tsd_analysis_with_es

04e9667b5fb6c5052e55053fe7838a79aab24fb5

[ "Apache-2.0" ]

null

from pyeemd import emd_num_imfs, emd, eemd, ceemdan def eemd_analysis(timeseries, s_num, max_siftings, noise_strength, size_k): if noise_strength is None: noise_strength = 0.2 if size_k is None: size_k = 250 imf = eemd(timeseries, S_number=s_num, num_siftings=max_siftings, noise_strength=noise_strength, ensemble_size=size_k) return imf def ceemd_analysis(timeseries, s_num, max_siftings, noise_strength, size_k): if noise_strength is None: noise_strength = 0.2 if size_k is None: size_k = 250 imf = ceemdan(timeseries, S_number=s_num, num_siftings=max_siftings, noise_strength=noise_strength, ensemble_size=size_k) return imf

31.782609

100

0.703146

109

731

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0.266055

0.271967

0.133891

0.200837

0.861925

0

0.017762

0.229822

731

22

101

33.227273

0.831261

0

0.588235

0

1

0.117647

false

0

0.058824

0

0.294118

0

null

1

0

1

0

null

0

8

22349ac87ecf18dfd0d76f022e14a09da5ba5a24

1,964

py

Python

view/input_nilai.py

Rezastein/program_Input_data_mahasiswa

995cf8c98e1713afe837b23babac7503db22f699

[ "MIT" ]

1

2022-01-15T03:28:52.000Z

view/input_nilai.py

Rezastein/program_Input_data_mahasiswa

995cf8c98e1713afe837b23babac7503db22f699

[ "MIT" ]

null

view/input_nilai.py

Rezastein/program_Input_data_mahasiswa

995cf8c98e1713afe837b23babac7503db22f699

[ "MIT" ]

1

2022-01-15T04:42:41.000Z

from view.view_nilai import view p = view() class input_data: def data_input(self): self._nama = str( input('\33[45m\33[37m MASUKAN NAMA \33[41m\33[30m ~# \33[0m ')) p.clean() p.header() self._nim = int( input('\33[45m\33[37m MASUKAN NIM \33[41m\33[30m ~# \33[0m ')) p.clean() p.header() self._tugas = int( input( '\33[45m\33[37m MASUKAN NILAI TUGAS \33[41m\33[30m ~# \33[0m ') ) p.clean() p.header() self._uts = int( input( '\33[45m\33[37m MASUKAN NILAI UTS \33[41m\33[30m ~# \33[0m ')) p.clean() p.header() self._uas = int( input( '\33[45m\33[37m MASUKAN NILAI UAS \33[41m\33[30m ~# \33[0m ')) p.clean() self._akhir = float((self._tugas * 0.30) + (self._uts * 0.35) + (self._uas * 0.35)) return self._nama, self._nim, self._tugas, self._uts, self._uas, self._akhir def nama_input(self): self._nama = str( input('\33[45m\33[37m MASUKAN NAMA \33[41m\33[30m ~# \33[0m ')) return self._nama def new_data(self): p.clean() p.header() self._tugas = int( input( '\33[45m\33[37m MASUKAN NILAI TUGAS \33[41m\33[30m ~# \33[0m ') ) p.clean() p.header() self._uts = int( input( '\33[45m\33[37m MASUKAN NILAI UTS \33[41m\33[30m ~# \33[0m ')) p.clean() p.header() self._uas = int( input( '\33[45m\33[37m MASUKAN NILAI UAS \33[41m\33[30m ~# \33[0m ')) self._akhir = float((self._tugas * 0.30) + (self._uts * 0.35) + (self._uas * 0.35)) return self._tugas, self._uts, self._uas, self._akhir

31.677419

85

0.459267

258

1,964

3.368217

0.127907

0.072497

0.103567

0.124281

0.879171

0.850403

0.774453

0

0.157238

0.387984

1,964

61

86

32.196721

0.565724

0

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0

0.166667

0.267998

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false

0

0.018519

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0

null

0

1

0

1

0

null

0

7

223f815097992d3f2176126a5132c1c31e264c22

2,217

py

Python

spiketools/tests/spatial/test_information.py

claire98han/SpikeTools

f1cdffd50e2cbdb75961a716425c4665aa930f54

[ "Apache-2.0" ]

1

2022-03-09T19:40:37.000Z

spiketools/tests/spatial/test_information.py

claire98han/SpikeTools

f1cdffd50e2cbdb75961a716425c4665aa930f54

[ "Apache-2.0" ]

35

2021-09-28T15:13:31.000Z

2021-11-26T04:38:08.000Z

spiketools/tests/spatial/test_information.py

claire98han/SpikeTools

f1cdffd50e2cbdb75961a716425c4665aa930f54

[ "Apache-2.0" ]

4

2021-09-28T14:56:24.000Z

2022-03-09T21:00:31.000Z

"""Tests for spiketools.spatial.information""" from spiketools.spatial.information import * ################################################################################################### ################################################################################################### def test_compute_spatial_information(): # 1d case: set baseline test values, with no spatial info occupancy = np.array([1, 1, 1, 1, 1]) binned_firing = np.array([1, 1, 1, 1, 1]) # 1d case - test computation, should be zero information spatial_info1 = compute_spatial_information(binned_firing, occupancy) assert isinstance(spatial_info1, float) assert spatial_info1 == 0. # 1d case - check with higher spatially specific firing binned_firing_new = np.array([1, 1, 10, 1, 1]) spatial_info2 = compute_spatial_information(binned_firing_new, occupancy) assert isinstance(spatial_info2, float) assert spatial_info2 > spatial_info1 # 1d case - check with proportional occupancy (should be equivalent to previous) occupancy_new = occupancy * 2 spatial_info3 = compute_spatial_information(binned_firing_new, occupancy_new) assert isinstance(spatial_info3, float) assert np.isclose(spatial_info3, spatial_info2) # 2d case: set baseline test values, with no spatial info occupancy = np.array([[1, 1, 1, 1], [1, 1, 1, 1]]) binned_firing = np.array([[1, 1, 1, 1], [1, 1, 1, 1]]) # 2d case - test computation spatial_info1 = compute_spatial_information(binned_firing, occupancy) assert isinstance(spatial_info1, float) assert spatial_info1 == 0. # 2d case - check with higher spatially specific firing binned_firing_new = np.array([[1, 1, 1, 10], [1, 1, 1, 10]]) spatial_info2 = compute_spatial_information(binned_firing_new, occupancy) assert isinstance(spatial_info2, float) assert spatial_info2 > spatial_info1 # 2d case - check with proportional occupancy (should be equivalent to previous) occupancy_new = occupancy * 2 spatial_info3 = compute_spatial_information(binned_firing_new, occupancy_new) assert isinstance(spatial_info3, float) assert np.isclose(spatial_info3, spatial_info2)

43.470588

99

0.66396

272

2,217

5.202206

0.176471

0.039576

0.042403

0.039576

0.868551

0.862191

0

0.041081

0.165539

2,217

50

100

44.34

0.723784

0.225981

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0.714286

0

0.428571

1

0.035714

false

0

0.035714

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null

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0

1

0

null

0

1

0

8

226856199e96d3c01370fa914e91fc7f921e902e

4,211

py

Python

tests/test_authentication_custom.py

Gdeon1337/sanic-jwt

73799af6ab2adb5e5599bab87dd12ed0ac15d88d

[ "MIT" ]

1

2019-09-03T11:07:01.000Z

tests/test_authentication_custom.py

Gdeon1337/sanic-jwt

73799af6ab2adb5e5599bab87dd12ed0ac15d88d

[ "MIT" ]

null

tests/test_authentication_custom.py

Gdeon1337/sanic-jwt

73799af6ab2adb5e5599bab87dd12ed0ac15d88d

[ "MIT" ]

null

import pytest from sanic import Sanic from sanic_jwt import Authentication, Initialize @pytest.yield_fixture def app1(): class MyAuthentication(Authentication): async def store_refresh_token(self, *args, **kwargs): return async def retrieve_refresh_token(self, *args, **kwargs): return async def authenticate(self, *args, **kwargs): return async def retrieve_user(self, *args, **kwargs): return def extract_payload(self, request, verify=True, *args, **kwargs): return app = Sanic() Initialize( app, authentication_class=MyAuthentication, refresh_token_enabled=True ) yield app @pytest.yield_fixture def app2(): class MyAuthentication(Authentication): async def store_refresh_token(self, *args, **kwargs): return async def retrieve_refresh_token(self, *args, **kwargs): return {} async def authenticate(self, *args, **kwargs): return "foobar" async def retrieve_user(self, *args, **kwargs): return {} def extract_payload(self, request, verify=True, *args, **kwargs): return {} app = Sanic() Initialize( app, authentication_class=MyAuthentication, refresh_token_enabled=True ) yield app def test_auth_invalid_retrieve_user(app1): _, response = app1.test_client.post("/auth", json={"not": "important"}) assert response.status == 500 assert response.json.get("exception") == "InvalidRetrieveUserObject" def test_auth_invalid_something(app2): _, response = app2.test_client.post("/auth", json={"not": "important"}) assert response.status == 500 assert response.json.get("exception") == "InvalidRetrieveUserObject" def test_me_with_none(app1): _, response = app1.test_client.get("/auth/me") assert response.status == 401 assert response.json.get("exception") == "Unauthorized" assert "Authorization header not present." in response.json.get("reasons") def test_me_without_authorization_header(app2): _, response = app2.test_client.get("/auth/me") assert response.status == 401 assert response.json.get("exception") == "Unauthorized" assert "Authorization header not present." in response.json.get("reasons") def test_verify_no_auth_header(app1): _, response = app1.test_client.get("/auth/verify") assert response.status == 401 assert response.json.get("exception") == "MissingAuthorizationHeader" assert "Authorization header not present." in response.json.get("reasons") def test_refresh_no_valid_object(app1): _, response = app1.test_client.post( "/auth/refresh", json={"not": "important"} ) assert response.status == 401 assert response.json.get("exception") == "Unauthorized" assert "Authorization header not present." in response.json.get("reasons") def test_refresh_no_valid_dict(app2): _, response = app2.test_client.post( "/auth/refresh", json={"not": "important"} ) assert response.status == 401 assert response.json.get("exception") == "Unauthorized" assert "Authorization header not present." in response.json.get("reasons") def test_me_with_none_debug(app1): app1.auth.config.debug.update(True) _, response = app1.test_client.get("/auth/me") assert response.status == 400 assert response.json.get("exception") == "Unauthorized" assert "Authorization header not present." in response.json.get("reasons") def test_me_without_authorization_header_debug(app2): app2.auth.config.debug.update(True) _, response = app2.test_client.get("/auth/me") assert response.status == 400 assert response.json.get("exception") == "Unauthorized" assert "Authorization header not present." in response.json.get("reasons") def test_verify_no_auth_header_debug(app1): app1.auth.config.debug.update(True) _, response = app1.test_client.get("/auth/verify") assert response.status == 400 assert response.json.get("exception") == "MissingAuthorizationHeader" assert "Authorization header not present." in response.json.get("reasons")

28.261745

78

0.684398

489

4,211

5.728016

0.141104

0.099964

0.096394

0.074973

0.927526

0.919672

0.910746

0.885041

0.882899

0

0.0162

0.193778

4,211

148

79

28.452703

0.808837

0

0.734043

0

0.173356

0.024222

0

0.297872

1

0.148936

false

0

0.074468

0.021277

0.351064

0

null

0

1

0

1

0

null

0

7

97dd8fe9a93860a406760eacbac7dcaa768a7ff3

48

py

Python

instance/config.py

martinmandina/One-MInute-Pitch

efd5830f9e73700163ce81ffa0adb7e3c4b2bbea

[ "MIT" ]

null

instance/config.py

martinmandina/One-MInute-Pitch

efd5830f9e73700163ce81ffa0adb7e3c4b2bbea

[ "MIT" ]

null

instance/config.py

martinmandina/One-MInute-Pitch

efd5830f9e73700163ce81ffa0adb7e3c4b2bbea

[ "MIT" ]

null

SECRET_KEY = 'e934357d1dcf802ff6bcdfab4759cf98'

24

47

0.875

3

48

13.666667

1

0

0.377778

0.0625

48

1

48

0.533333

0

0.666667

0

1

0

false

0

1

null

0

1

0

1

0

1

null

0

7

97eb30429c8475059ee312c8aba9379f4d6be98e

221

py

Python

DVR.py

McCoyGroup/Coordinerds

058a4f5b29f157e499cec3c8f2da8b216f0210ef

[ "MIT" ]

null

DVR.py

McCoyGroup/Coordinerds

058a4f5b29f157e499cec3c8f2da8b216f0210ef

[ "MIT" ]

null

DVR.py

McCoyGroup/Coordinerds

058a4f5b29f157e499cec3c8f2da8b216f0210ef

[ "MIT" ]

null

""" A file that only exists to make this directory useable as a way to import Psience too. Mostly useful during development """ from .Psience.DVR import * from .Psience.DVR import __all__ from .Psience.DVR import __doc__

27.625

86

0.778281

35

221

4.685714

0.657143

0.20122

0.256098

0.365854

0

0.158371

221

8

87

27.625

0.88172

0.538462

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

3f01621e73e7f2c509fb8c10a46909d21a22523a

42,373

py

Python

upsa/source/sampling.py

aolney/upsa-docker

9f1f40a3336c9b360edaa9be846e99b54d26aa9e

[ "Apache-2.0" ]

null

upsa/source/sampling.py

aolney/upsa-docker

9f1f40a3336c9b360edaa9be846e99b54d26aa9e

[ "Apache-2.0" ]

3

2020-09-26T01:26:39.000Z

2022-02-10T02:01:19.000Z

upsa/source/sampling.py

aolney/upsa-docker

9f1f40a3336c9b360edaa9be846e99b54d26aa9e

[ "Apache-2.0" ]

null

from __future__ import absolute_import from __future__ import division from __future__ import print_function import os, math from copy import copy import time, random import numpy as np import tensorflow as tf from tensorflow.python.layers import core as layers_core import argparse from tensorflow.python.client import device_lib import pickle as pkl from utils import * from models import * import data, RAKE from data import array_data from zpar import ZPar def run_epoch(sess, model, input, sequence_length, target=None, mode='train'): #Runs the model on the given data. if mode=='train': #train language model _,cost = sess.run([model._train_op, model._cost], feed_dict={model._input: input, model._target:target, model._sequence_length:sequence_length}) return cost elif mode=='test': #test language model cost = sess.run(model._cost, feed_dict={model._input: input, model._target:target, model._sequence_length:sequence_length}) return cost else: #use the language model to calculate sentence probability output_prob = sess.run(model._output_prob, feed_dict={model._input: input, model._sequence_length:sequence_length}) return output_prob def simulatedAnnealing_std(config): option = config with tf.name_scope("forward_train"): with tf.variable_scope("forward", reuse=None): m_forward = PTBModel(is_training=True, config = config) with tf.name_scope("forward_test"): with tf.variable_scope("forward", reuse=True): mtest_forward = PTBModel(is_training=False, config = config) var=tf.trainable_variables() var_forward=[x for x in var if x.name.startswith('forward')] saver_forward=tf.train.Saver(var_forward, max_to_keep=1) with tf.name_scope("backward_train"): with tf.variable_scope("backward", reuse=None): m_backward = PTBModel(is_training=True, config = config) with tf.name_scope("backward_test"): with tf.variable_scope("backward", reuse=True): mtest_backward = PTBModel(is_training=False, config = config) var=tf.trainable_variables() var_backward=[x for x in var if x.name.startswith('backward')] saver_backward=tf.train.Saver(var_backward, max_to_keep=1) init = tf.global_variables_initializer() dataclass = data.Data(config) session = tf.Session() session.run(init) saver_forward.restore(session, option.forward_save_path) saver_backward.restore(session, option.backward_save_path) if option.mode == 'kw-bleu': similarity = similarity_keyword_bleu else: similarity = similarity_keyword similaritymodel = None tfflag = True fileobj = open(option.emb_path,'r') emb_word,emb_id=pkl.load(StrToBytes(fileobj), encoding='latin1') fileobj.close() sim=option.sim sta_vec=list(np.zeros([option.num_steps-1])) use_data, sta_vec_list = read_data_use(option, dataclass.sen2id) id2sen = dataclass.id2sen generateset = [] C = 0.05 temperatures = C*(1.0/100)*np.array(list(range(option.sample_time+1,1,-1))) print(temperatures) for sen_id in range(use_data.length): sta_vec=sta_vec_list[sen_id] input, sequence_length, _=use_data(1, sen_id) input_original=input[0] sta_vec_original = [x for x in sta_vec] # for i in range(1,option.num_steps): # if input[0][i]>option.rare_since and input[0][i]<option.dict_size: # sta_vec[i-1]=1 pos=0 print('----------------') print(' '.join(id2sen(input[0]))) print(sta_vec) calibrated_set = [x for x in input[0]] for iter in range(option.sample_time): temperature = temperatures[iter] ind=pos%(sequence_length[0]-1) action=choose_action(option.action_prob) calibrated_set = list(set(calibrated_set)) if action==0: # word replacement (action: 0) if tfflag: prob_old=run_epoch(session, mtest_forward, input, sequence_length,\ mode='use')[0] else: prob_old= output_p(input, forwardmodel) #15,K tem=1 for j in range(sequence_length[0]-1): tem*=prob_old[j][input[0][j+1]] tem*=prob_old[j+1][option.dict_size+1] prob_old_prob=tem if sim!=None: similarity_old=similarity(input, input_original, sta_vec, id2sen, emb_word, option, similaritymodel)[0] prob_old_prob*=similarity_old else: similarity_old=-1 input_forward, input_backward, sequence_length_forward, sequence_length_backward =\ cut_from_point(input, sequence_length, ind, option, mode=action) if tfflag: prob_forward=run_epoch(session, mtest_forward, input_forward, sequence_length_forward, mode='use')[0, ind%(sequence_length[0]-1),:] prob_backward=run_epoch(session, mtest_backward, input_backward, sequence_length_backward, mode='use')[0, sequence_length[0]-1-ind%(sequence_length[0]-1),:] else: prob_forward = output_p(input_forward, forwardmodel)[ind%(sequence_length[0]-1),:] prob_backward = output_p(input_backward,backwardmodel)[ sequence_length[0]-1-ind%(sequence_length[0]-1),:] prob_mul=(prob_forward*prob_backward) input_candidate, sequence_length_candidate=generate_candidate_input_calibrated(input,\ sequence_length, ind, prob_mul, option.search_size, option, mode=action,\ calibrated_set=calibrated_set) prob_candidate_pre=run_epoch(session, mtest_forward, input_candidate,\ sequence_length_candidate,mode='use') prob_candidate=[] for i in range(len(input_candidate)): tem=1 for j in range(sequence_length[0]-1): tem*=prob_candidate_pre[i][j][input_candidate[i][j+1]] tem*=prob_candidate_pre[i][j+1][option.dict_size+1] prob_candidate.append(tem) prob_candidate=np.array(prob_candidate) if sim!=None: similarity_candidate=similarity(input_candidate, input_original,sta_vec,\ id2sen, emb_word, option, similaritymodel) prob_candidate=prob_candidate*similarity_candidate prob_candidate_norm=normalize(prob_candidate) prob_candidate_ind=sample_from_candidate(prob_candidate_norm) prob_candidate_prob=prob_candidate[prob_candidate_ind] V_new = math.log(max(np.power(prob_candidate_prob,1.0/sequence_length),1e-200)) V_old = math.log(max(np.power(prob_old_prob, 1.0/sequence_length),1e-200)) alphat = min(1,math.exp(min((V_new-V_old)/temperature,100))) if choose_action([alphat, 1-alphat])==0 and input_candidate[prob_candidate_ind][ind]<option.dict_size: input1=input_candidate[prob_candidate_ind:prob_candidate_ind+1] if np.sum(input1[0])==np.sum(input[0]): pass else: calibrated_set.append(input[0][ind+1]) input= input1 print('ind, action,oldprob,vold, vnew, alpha,simold, simnew', ind, action,prob_old_prob,V_old,\ V_new,alphat,similarity_old,similarity_candidate[prob_candidate_ind]) print('Temperature:{:3.3f}: '.format(temperature)+' '.join(id2sen(input[0]))) elif action==1: # word insert if sequence_length[0]>=option.num_steps: pos += 1 continue # break input_forward, input_backward, sequence_length_forward, sequence_length_backward =\ cut_from_point(input, sequence_length, ind, option, mode=action) if tfflag: prob_forward=run_epoch(session, mtest_forward, input_forward, sequence_length_forward, mode='use')[0, ind%(sequence_length[0]-1),:] prob_backward=run_epoch(session, mtest_backward, input_backward, sequence_length_backward, mode='use')[0, sequence_length[0]-1-ind%(sequence_length[0]-1),:] else: prob_forward = output_p(input_forward, forwardmodel)[ind%(sequence_length[0]-1),:] prob_backward = output_p(input_backward,backwardmodel)[ sequence_length[0]-1-ind%(sequence_length[0]-1),:] prob_mul=(prob_forward*prob_backward) input_candidate, sequence_length_candidate=generate_candidate_input_calibrated(input,\ sequence_length, ind, prob_mul, option.search_size, option, mode=action,\ calibrated_set=calibrated_set) if tfflag: prob_candidate_pre=run_epoch(session, mtest_forward, input_candidate,\ sequence_length_candidate,mode='use') else: prob_candidate_pre = output_p(input_candidate, forwardmodel) # 100,15,300003 prob_candidate=[] #for i in range(option.search_size): for i in range(len(input_candidate)): tem=1 for j in range(sequence_length_candidate[0]-1): tem*=prob_candidate_pre[i][j][input_candidate[i][j+1]] tem*=prob_candidate_pre[i][j+1][option.dict_size+1] prob_candidate.append(tem) prob_candidate=np.array(prob_candidate) if sim!=None: similarity_candidate=similarity(input_candidate, input_original,sta_vec,\ id2sen, emb_word, option, similaritymodel) prob_candidate=prob_candidate*similarity_candidate prob_candidate_norm=normalize(prob_candidate) prob_candidate_ind=sample_from_candidate(prob_candidate_norm) prob_candidate_prob=prob_candidate[prob_candidate_ind] similarity_new = similarity_candidate[prob_candidate_ind] if tfflag: prob_old=run_epoch(session, mtest_forward, input,\ sequence_length,mode='use')[0] else: prob_old = output_p(input, forwardmodel) # 100,15,300003 tem=1 for j in range(sequence_length[0]-1): tem*=prob_old[j][input[0][j+1]] tem*=prob_old[j+1][option.dict_size+1] prob_old_prob=tem if sim!=None: similarity_old=similarity(input, input_original,sta_vec,\ id2sen, emb_word, option, similaritymodel)[0] prob_old_prob=prob_old_prob*similarity_old else: similarity_old=-1 V_new = math.log(max(np.power(prob_candidate_prob,1.0/sequence_length_candidate[0]),1e-200)) V_old = math.log(max(np.power(prob_old_prob, 1.0/sequence_length),1e-200)) alphat = min(1,math.exp(min((V_new-V_old)/temperature,200))) if choose_action([alphat, 1-alphat])==0 and input_candidate[prob_candidate_ind][ind]<option.dict_size: input=input_candidate[prob_candidate_ind:prob_candidate_ind+1] sequence_length+=1 pos+=1 # sta_vec.insert(ind, 0.0) # del(sta_vec[-1]) print('ind, action,oldprob,vold, vnew, alpha,simold, simnew', ind, action,prob_old_prob,V_old,\ V_new,alphat,similarity_old,similarity_new) print('Temperature:{:3.3f}: '.format(temperature)+' '.join(id2sen(input[0]))) elif action==2: # word delete if sequence_length[0]<=2 or ind==0: pos += 1 continue if tfflag: prob_old=run_epoch(session, mtest_forward, input, sequence_length,\ mode='use')[0] else: prob_old= output_p(input, forwardmodel) #15,K tem=1 for j in range(sequence_length[0]-1): tem*=prob_old[j][input[0][j+1]] tem*=prob_old[j+1][option.dict_size+1] prob_old_prob=tem if sim!=None: similarity_old=similarity(input, input_original,sta_vec,\ id2sen, emb_word, option, similaritymodel)[0] prob_old_prob=prob_old_prob*similarity_old else: similarity_old=-1 input_candidate, sequence_length_candidate=generate_candidate_input_calibrated(input,\ sequence_length, ind, None, option.search_size, option,\ mode=action,calibrated_set=calibrated_set) # delete sentence if tfflag: prob_new=run_epoch(session, mtest_forward, input_candidate,\ sequence_length_candidate,mode='use')[0] else: prob_new = output_p(input_candidate, forwardmodel) tem=1 for j in range(sequence_length_candidate[0]-1): tem*=prob_new[j][input_candidate[0][j+1]] tem*=prob_new[j+1][option.dict_size+1] prob_new_prob=tem if sim!=None: similarity_candidate=similarity(input_candidate, input_original,sta_vec,\ id2sen, emb_word, option, similaritymodel)[0] prob_new_prob=prob_new_prob*similarity_candidate #alpha is acceptance ratio of current proposal if input[0] in input_candidate: for candidate_ind in range(len(input_candidate)): if input[0] in input_candidate[candidate_ind: candidate_ind+1]: break pass V_new = math.log(max(np.power(prob_new_prob,1.0/sequence_length_candidate[0]),1e-200)) V_old = math.log(max(np.power(prob_old_prob, 1.0/sequence_length),1e-200)) alphat = min(1,math.exp((V_new-V_old)/temperature)) else: alphat=0 if choose_action([alphat, 1-alphat])==0: calibrated_set.append(input[0][ind]) input=np.concatenate([input[:,:ind+1], input[:,ind+2:], input[:,:1]*0+option.dict_size+1], axis=1) sequence_length-=1 # del(sta_vec[ind]) # sta_vec.append(0) pos -= 1 print('ind, action,oldprob,vold, vnew, alpha,simold, simnew',ind, action,prob_old_prob,V_old,\ V_new,alphat,similarity_old,similarity_candidate) print('Temperature:{:3.3f}: '.format(temperature)+' '.join(id2sen(input[0]))) pos += 1 generateset.append(id2sen(input[0])) appendtext(id2sen(input[0]), option.save_path) def simulatedAnnealing(config): option = config with tf.name_scope("forward_train"): with tf.variable_scope("forward", reuse=None): m_forward = PTBModel(is_training=True, config = config) with tf.name_scope("forward_test"): with tf.variable_scope("forward", reuse=True): mtest_forward = PTBModel(is_training=False, config = config) var=tf.trainable_variables() var_forward=[x for x in var if x.name.startswith('forward')] saver_forward=tf.train.Saver(var_forward, max_to_keep=1) with tf.name_scope("backward_train"): with tf.variable_scope("backward", reuse=None): m_backward = PTBModel(is_training=True, config = config) with tf.name_scope("backward_test"): with tf.variable_scope("backward", reuse=True): mtest_backward = PTBModel(is_training=False, config = config) var=tf.trainable_variables() var_backward=[x for x in var if x.name.startswith('backward')] saver_backward=tf.train.Saver(var_backward, max_to_keep=1) init = tf.global_variables_initializer() dataclass = data.Data(config) session = tf.Session() session.run(init) saver_forward.restore(session, option.forward_save_path) saver_backward.restore(session, option.backward_save_path) tfflag = True fileobj = open(option.emb_path,'r') #emb_word,emb_id=pkl.load(StrToBytes(fileobj), encoding='latin1') emb_word,emb_id=pkl.load(StrToBytes(fileobj)) fileobj.close() sim=option.sim sta_vec=list(np.zeros([option.num_steps-1])) use_data, sta_vec_list = read_data_use(option, dataclass.sen2id) id2sen = dataclass.id2sen generateset = [] temperatures = option.C*(1.0/100)*np.array(list(range(option.sample_time+1,1,-1))) print(temperatures) option.temperatures = temperatures for sen_id in range(use_data.length): sta_vec=sta_vec_list[sen_id] input, sequence_length, _=use_data(1, sen_id) print('----------------') print(' '.join(id2sen(input[0]))) print(sta_vec) maxV = -30 for k in range(option.N_repeat): sen, V = sa(input, sequence_length, sta_vec, id2sen, emb_word,session, mtest_forward, mtest_backward,option) print(sen,V) if maxV<V: sampledsen = sen maxV = V appendtext(sampledsen, os.path.join(option.this_expsdir,option.save_path+\ 'top-{}'.format(k))) def sa(input, sequence_length, sta_vec, id2sen, emb_word, session, mtest_forward, mtest_backward, option): if option.mode == 'kw-bleu': similarity = similarity_keyword_bleu_tensor else: similarity = similarity_keyword sim = similarity similaritymodel = None pos=0 input_original=input[0] sta_vec_original = [x for x in sta_vec] calibrated_set = [x for x in input[0] if x< option.dict_size] for iter in range(option.sample_time): temperature = option.temperatures[iter] ind=pos%(sequence_length[0]-1) action=choose_action(option.action_prob) calibrated_set = list(set(calibrated_set)) if action==0: # word replacement (action: 0) prob_old=run_epoch(session, mtest_forward, input, sequence_length,\ mode='use')[0] tem=1 for j in range(sequence_length[0]-1): tem*=prob_old[j][input[0][j+1]] tem*=prob_old[j+1][option.dict_size+1] prob_old_prob=tem if sim!=None: similarity_old=similarity(input, input_original, sta_vec, id2sen, emb_word, option, similaritymodel)[0] prob_old_prob*=similarity_old else: similarity_old=-1 input_forward, input_backward, sequence_length_forward, sequence_length_backward =\ cut_from_point(input, sequence_length, ind, option, mode=action) prob_forward=run_epoch(session, mtest_forward, input_forward, sequence_length_forward, mode='use')[0, ind%(sequence_length[0]-1),:] prob_backward=run_epoch(session, mtest_backward, input_backward, sequence_length_backward, mode='use')[0, sequence_length[0]-1-ind%(sequence_length[0]-1),:] prob_mul=(prob_forward*prob_backward) input_candidate, sequence_length_candidate=generate_candidate_input_calibrated(input,\ sequence_length, ind, prob_mul, option.search_size, option, mode=action,\ calibrated_set=calibrated_set) prob_candidate_pre=run_epoch(session, mtest_forward, input_candidate,\ sequence_length_candidate,mode='use') prob_candidate=[] for i in range(len(input_candidate)): tem=1 for j in range(sequence_length[0]-1): tem*=prob_candidate_pre[i][j][input_candidate[i][j+1]] tem*=prob_candidate_pre[i][j+1][option.dict_size+1] prob_candidate.append(tem) prob_candidate=np.array(prob_candidate) if sim!=None: similarity_candidate=similarity(input_candidate, input_original,sta_vec,\ id2sen, emb_word, option, similaritymodel) prob_candidate=prob_candidate*similarity_candidate prob_candidate_norm=normalize(prob_candidate) prob_candidate_ind=sample_from_candidate(prob_candidate_norm) prob_candidate_prob=prob_candidate[prob_candidate_ind] V_new = math.log(max(np.power(prob_candidate_prob,1.0/sequence_length),1e-200)) V_old = math.log(max(np.power(prob_old_prob, 1.0/sequence_length),1e-200)) alphat = min(1,math.exp(min((V_new-V_old)/temperature,100))) if choose_action([alphat, 1-alphat])==0 and input_candidate[prob_candidate_ind][ind]<option.dict_size: input1=input_candidate[prob_candidate_ind:prob_candidate_ind+1] if np.sum(input1[0])==np.sum(input[0]): pass else: if input[0][ind+1]<option.dict_size: calibrated_set.append(input[0][ind+1]) input= input1 print('ind, action,oldprob,vold, vnew, alpha,simold, simnew', ind, action,prob_old_prob,V_old,\ V_new,alphat,similarity_old,similarity_candidate[prob_candidate_ind]) print('Temperature:{:3.3f}: '.format(temperature)+' '.join(id2sen(input[0])), sequence_length) elif action==1: # word insert if sequence_length[0]>=option.num_steps: pos += 1 continue # break input_forward, input_backward, sequence_length_forward, sequence_length_backward =\ cut_from_point(input, sequence_length, ind, option, mode=action) prob_forward=run_epoch(session, mtest_forward, input_forward, sequence_length_forward, mode='use')[0, ind%(sequence_length[0]-1),:] prob_backward=run_epoch(session, mtest_backward, input_backward, sequence_length_backward, mode='use')[0, sequence_length[0]-1-ind%(sequence_length[0]-1),:] prob_mul=(prob_forward*prob_backward) input_candidate, sequence_length_candidate=generate_candidate_input_calibrated(input,\ sequence_length, ind, prob_mul, option.search_size, option, mode=action,\ calibrated_set=calibrated_set) prob_candidate_pre=run_epoch(session, mtest_forward, input_candidate,\ sequence_length_candidate,mode='use') prob_candidate=[] for i in range(len(input_candidate)): tem=1 for j in range(sequence_length_candidate[0]-1): tem*=prob_candidate_pre[i][j][input_candidate[i][j+1]] tem*=prob_candidate_pre[i][j+1][option.dict_size+1] prob_candidate.append(tem) prob_candidate=np.array(prob_candidate) if sim!=None: similarity_candidate=similarity(input_candidate, input_original,sta_vec,\ id2sen, emb_word, option, similaritymodel) prob_candidate=prob_candidate*similarity_candidate prob_candidate_norm=normalize(prob_candidate) prob_candidate_ind=sample_from_candidate(prob_candidate_norm) prob_candidate_prob=prob_candidate[prob_candidate_ind] similarity_new = similarity_candidate[prob_candidate_ind] prob_old=run_epoch(session, mtest_forward, input,\ sequence_length,mode='use')[0] tem=1 for j in range(sequence_length[0]-1): tem*=prob_old[j][input[0][j+1]] tem*=prob_old[j+1][option.dict_size+1] prob_old_prob=tem if sim!=None: similarity_old=similarity(input, input_original,sta_vec,\ id2sen, emb_word, option, similaritymodel)[0] prob_old_prob=prob_old_prob*similarity_old else: similarity_old=-1 V_new = math.log(max(np.power(prob_candidate_prob,1.0/sequence_length_candidate[0]),1e-200)) V_old = math.log(max(np.power(prob_old_prob, 1.0/sequence_length),1e-200)) alphat = min(1,math.exp(min((V_new-V_old)/temperature,200))) if choose_action([alphat, 1-alphat])==0 and input_candidate[prob_candidate_ind][ind]<option.dict_size: input=input_candidate[prob_candidate_ind:prob_candidate_ind+1] sequence_length+=1 pos+=1 # sta_vec.insert(ind, 0.0) # del(sta_vec[-1]) print('ind, action,oldprob,vold, vnew, alpha,simold, simnew', ind, action,prob_old_prob,V_old,\ V_new,alphat,similarity_old,similarity_new) print('Temperature:{:3.3f}: '.format(temperature)+' '.join(id2sen(input[0])), sequence_length) elif action==2: # word delete if sequence_length[0]<=2 or ind==0: pos += 1 continue prob_old=run_epoch(session, mtest_forward, input, sequence_length,\ mode='use')[0] tem=1 for j in range(sequence_length[0]-1): tem*=prob_old[j][input[0][j+1]] tem*=prob_old[j+1][option.dict_size+1] prob_old_prob=tem if sim!=None: similarity_old=similarity(input, input_original,sta_vec,\ id2sen, emb_word, option, similaritymodel)[0] prob_old_prob=prob_old_prob*similarity_old else: similarity_old=-1 input_candidate, sequence_length_candidate=generate_candidate_input_calibrated(input,\ sequence_length, ind, None, option.search_size, option,\ mode=action,calibrated_set=calibrated_set) # delete sentence prob_new=run_epoch(session, mtest_forward, input_candidate,\ sequence_length_candidate,mode='use')[0] tem=1 for j in range(sequence_length_candidate[0]-1): tem*=prob_new[j][input_candidate[0][j+1]] tem*=prob_new[j+1][option.dict_size+1] prob_new_prob=tem if sim!=None: similarity_candidate=similarity(input_candidate, input_original,sta_vec,\ id2sen, emb_word, option, similaritymodel)[0] prob_new_prob=prob_new_prob*similarity_candidate #alpha is acceptance ratio of current proposal V_new = math.log(max(np.power(prob_new_prob,1.0/sequence_length_candidate[0]),1e-200)) V_old = math.log(max(np.power(prob_old_prob, 1.0/sequence_length),1e-200)) alphat = min(1,math.exp((V_new-V_old)/temperature)) if choose_action([alphat, 1-alphat])==0: if input[0][ind]<option.dict_size: calibrated_set.append(input[0][ind]) input=np.concatenate([input[:,:ind+1], input[:,ind+2:], input[:,:1]*0+option.dict_size+1], axis=1) sequence_length-=1 # del(sta_vec[ind]) # sta_vec.append(0) pos -= 1 print('ind, action,oldprob,vold, vnew, alpha,simold, simnew',ind, action,prob_old_prob,V_old,\ V_new,alphat,similarity_old,similarity_candidate) print('Temperature:{:3.3f}: '.format(temperature)+' '.join(id2sen(input[0])),sequence_length) pos += 1 return ' '.join(id2sen(input[0])),V_old def simulatedAnnealing_batch(config): option = config with tf.name_scope("forward_train"): with tf.variable_scope("forward", reuse=None): m_forward = PTBModel(is_training=True, config = config) with tf.name_scope("forward_test"): with tf.variable_scope("forward", reuse=True): mtest_forward = PTBModel(is_training=False, config = config) var=tf.trainable_variables() var_forward=[x for x in var if x.name.startswith('forward')] saver_forward=tf.train.Saver(var_forward, max_to_keep=1) with tf.name_scope("backward_train"): with tf.variable_scope("backward", reuse=None): m_backward = PTBModel(is_training=True, config = config) with tf.name_scope("backward_test"): with tf.variable_scope("backward", reuse=True): mtest_backward = PTBModel(is_training=False, config = config) var=tf.trainable_variables() var_backward=[x for x in var if x.name.startswith('backward')] saver_backward=tf.train.Saver(var_backward, max_to_keep=1) init = tf.global_variables_initializer() dataclass = data.Data(config) session = tf.Session() session.run(init) saver_forward.restore(session, option.forward_save_path) saver_backward.restore(session, option.backward_save_path) tfflag = True fileobj = open(option.emb_path,'r') emb_word,emb_id=pkl.load(StrToBytes(fileobj)) fileobj.close() sim=option.sim sta_vec=list(np.zeros([option.num_steps-1])) use_data, sta_vec_list = read_data_use(option, dataclass.sen2id) id2sen = dataclass.id2sen generateset = [] temperatures = option.C*(1.0/100)*np.array(list(range(option.sample_time+1,1,-1))) print(temperatures) option.temperatures = temperatures batch_size = option.batch_size for sen_id in range(use_data.length): print('====================') sta_vec=sta_vec_list[sen_id*batch_size:sen_id*batch_size+batch_size] input, sequence_length, _ = use_data(batch_size, sen_id) assert len(input)==len(sequence_length) N_input = len(input) for i in range(len(input)): print(' '.join(id2sen(input[i]))) print(sta_vec[i]) maxVs = [-100]*len(input) maxsens = [0]*N_input for k in range(option.N_repeat): print('----------------') input_feed = copy(input) sequence_length_feed = copy(sequence_length) sens, Vs = sa_batch(input_feed, sequence_length_feed, sta_vec, id2sen, emb_word,session, mtest_forward, mtest_backward,option) for i in range(N_input): sen = ' '.join(id2sen(sens[i])) V = Vs[i] if maxVs[i]<V: maxVs[i] = V maxsens[i] = sen for i in range(N_input): # print(maxsens[i],maxVs[i]) appendtext(maxsens[i], option.save_path) def sa_batch(input, sequence_length, sta_vec, id2sen, emb_word, session, mtest_forward, mtest_backward, option): if option.mode == 'kw-bleu': similarityfun = similarity_keyword_bleu_tensor else: similarityfun= similarity_keyword_tensor sim = similarityfun similaritymodel = None generate_candidate = generate_candidate_input_batch pos=0 input_original= copy(input) sta_vec_original = [x for x in sta_vec] calibrated_set =[ [x for x in inp] for inp in input] N_input = len(input) for iter in range(option.sample_time): temperature = option.temperatures[iter] ind=pos%(np.max(sequence_length-1)) action=choose_action(option.action_prob) # calibrated_set = list(set(calibrated_set)) if action==0: prob_old=run_epoch(session, mtest_forward, input, sequence_length,\ mode='use') # K,L,Vocab prob_old_prob = getp(prob_old,input, sequence_length, option) # K, input_ = [[x] for x in input] similarity_old=similarity_batch(input_, input_original, sta_vec, id2sen, emb_word, option, similarityfun, similaritymodel) #K, prob_old_prob = prob_old_prob*similarity_old #K, input_forward, input_backward, sequence_length_forward, sequence_length_backward =\ cut_from_point(input, sequence_length, ind, option, mode=action) prob_forward=run_epoch(session, mtest_forward, input_forward,\ sequence_length_forward, mode='use')[:, ind%(sequence_length[0]-1),:] prob_backward=run_epoch(session, mtest_backward, input_backward,\ sequence_length_backward, mode='use')[:, sequence_length[0]-1-ind%(sequence_length[0]-1),:] prob_mul=(prob_forward*prob_backward) #K,vocab input_candidate, sequence_length_candidate=generate_candidate(input,\ sequence_length, ind, prob_mul, option.search_size, option, mode=action,\ calibrated_set=calibrated_set) # K,100,15 input_candidate_flat = input_candidate.reshape(-1,option.num_steps) sequence_length_candidate_flat = sequence_length_candidate.reshape(-1) prob_candidate_pre=run_epoch(session, mtest_forward, input_candidate_flat,\ sequence_length_candidate_flat, mode='use') #K*100,15,vocab prob_candidate = getp(prob_candidate_pre, input_candidate_flat,sequence_length_candidate_flat, option) # K*100 prob_candidate = np.array(prob_candidate).reshape(N_input,-1) # K,100 similarity_candidate=similarity_batch(input_candidate, input_original,sta_vec,\ id2sen, emb_word, option ,similarityfun, similaritymodel) # K,100 similarity_candidate =similarity_candidate.reshape(N_input,-1) prob_candidate=prob_candidate*similarity_candidate # K,100 prob_candidate_norm=\ prob_candidate/(np.maximum(prob_candidate.sum(1,keepdims=True),1e-50)) prob_candidate_ind=samplep(prob_candidate_norm) id_sample = torch.tensor(prob_candidate_ind,dtype=torch.long).view(N_input,1) prob_candidate_prob= torch.gather(torch.tensor(prob_candidate,dtype=torch.float),1,id_sample) # 5,1 prob_candidate_prob = prob_candidate_prob.squeeze().numpy() V_new = np.log(np.maximum(np.power(prob_candidate_prob,1.0/sequence_length),1e-200)) V_old = np.log(np.maximum(np.power(prob_old_prob, 1.0/sequence_length),1e-200)) alphat = np.minimum(1,np.exp(np.minimum((V_new-V_old)/temperature,100))) for i,inp in enumerate(input): if ind>=sequence_length[i]-1: continue alpha = alphat[i] chooseind = prob_candidate_ind[i] if choose_action([alpha, 1-alpha])==0: input1=input_candidate[i][chooseind] if np.sum(input1)==np.sum(inp): pass else: input[i] = input1 # print('vold, vnew, alpha,simold, simnew', V_old[i],\ # V_new[i],alpha,similarity_old[i],similarity_candidate[i][chooseind]) # print('Temperature:{:3.3f}: '.format(temperature)+' '.join(id2sen(input[i]))) elif action==1: # word insert input_forward, input_backward, sequence_length_forward, sequence_length_backward =\ cut_from_point(input, sequence_length, ind, option, mode=action) prob_forward=run_epoch(session, mtest_forward, input_forward,\ sequence_length_forward, mode='use')[:, ind%(sequence_length[0]-1),:] prob_backward=run_epoch(session, mtest_backward, input_backward,\ sequence_length_backward, mode='use')[:, sequence_length[0]-1-ind%(sequence_length[0]-1),:] prob_mul=(prob_forward*prob_backward) #K,vocab input_candidate, sequence_length_candidate=generate_candidate(input,\ sequence_length, ind, prob_mul, option.search_size, option, mode=action,\ calibrated_set=calibrated_set) # K,100,15 input_candidate_flat = input_candidate.reshape(-1,option.num_steps) sequence_length_candidate_flat = sequence_length_candidate.reshape(-1) prob_candidate_pre=run_epoch(session, mtest_forward, input_candidate_flat,\ sequence_length_candidate_flat, mode='use') #K*100,15,vocab prob_candidate = getp(prob_candidate_pre, input_candidate_flat,sequence_length_candidate_flat, option) # K*100 prob_candidate = np.array(prob_candidate).reshape(N_input,-1) # K,100 similarity_candidate=similarity_batch(input_candidate, input_original,sta_vec,\ id2sen, emb_word, option, similarityfun,similaritymodel) # K,100 similarity_candidate =similarity_candidate.reshape(N_input,-1) prob_candidate=prob_candidate*similarity_candidate # K,100 prob_candidate_norm=\ prob_candidate/(np.maximum(prob_candidate.sum(1,keepdims=True),1e-50)) prob_candidate_ind=samplep(prob_candidate_norm) id_sample = torch.tensor(prob_candidate_ind,dtype=torch.long).view(N_input,1) prob_candidate_prob= torch.gather(torch.tensor(prob_candidate,dtype=torch.float),1,id_sample) # 5,1 prob_candidate_prob = prob_candidate_prob.squeeze().numpy() V_new = np.log(np.maximum(np.power(prob_candidate_prob,1.0/(sequence_length+1)),1e-200)) prob_old=run_epoch(session, mtest_forward, input, sequence_length,\ mode='use') # K,L,Vocab prob_old_prob = getp(prob_old,input, sequence_length, option) # K, input_ = [[x] for x in input] similarity_old=similarity_batch(input_, input_original, sta_vec, id2sen, emb_word, option, similarityfun,similaritymodel) #K, prob_old_prob = prob_old_prob*similarity_old #K, V_old = np.log(np.maximum(np.power(prob_old_prob, 1.0/sequence_length),1e-200)) alphat = np.minimum(1,np.exp(np.minimum((V_new-V_old)/temperature,100))) for i,inp in enumerate(input): if ind>=sequence_length[i]-1 or sequence_length[i]>=option.num_steps: continue alpha = alphat[i] chooseind = prob_candidate_ind[i] if choose_action([alpha, 1-alpha])==0: input1=input_candidate[i][chooseind] input[i] = input1 sequence_length[i] = sequence_length[i]+1 # print('vold, vnew, alpha,simold, simnew', V_old[i],\ # V_new[i],alpha,similarity_old[i],similarity_candidate[i][chooseind]) # print('Temperature:{:3.3f}: '.format(temperature)+' '.join(id2sen(input[i]))) elif action==2: # word delete prob_old=run_epoch(session, mtest_forward, input, sequence_length,\ mode='use') # K,L,Vocab prob_old_prob = getp(prob_old,input, sequence_length, option) # K, input_ = [[x] for x in input] similarity_old=similarity_batch(input_, input_original, sta_vec, id2sen, emb_word, option, similarityfun,similaritymodel) #K, prob_old_prob = prob_old_prob*similarity_old #K, input_candidate, sequence_length_candidate=generate_candidate(input,\ sequence_length, ind, None, option.search_size, option, mode=action,\ calibrated_set=calibrated_set) # K,100,15 input_candidate = input_candidate[:,0,:] sequence_length_candidate = sequence_length_candidate[:,0] prob_new=run_epoch(session, mtest_forward, input_candidate,\ sequence_length_candidate,mode='use') prob_new = getp(prob_new, input_candidate,sequence_length_candidate, option) # K input_candidate = [[x] for x in input_candidate] similarity_new=similarity_batch(input_candidate, input_original,sta_vec,\ id2sen, emb_word, option,similarityfun, similaritymodel) # K, prob_new_prob = prob_new* similarity_new #K, V_new = np.log(np.maximum(np.power(prob_new_prob,1.0/(sequence_length-1)),1e-200)) V_old = np.log(np.maximum(np.power(prob_old_prob, 1.0/sequence_length),1e-200)) alphat = np.minimum(1,np.exp(np.minimum((V_new-V_old)/temperature,100))) for i,inp in enumerate(input): if ind>=sequence_length[i]-1 or sequence_length[i]<=3 or ind==0: continue alpha = alphat[i] if choose_action([alpha, 1-alpha])==0: input1=input_candidate[i][0] input[i] = input1 # calibrated_set.append(input[i][ind]) sequence_length[i] = sequence_length[i]-1 # print('vold, vnew, alpha,simold, simnew', V_old[i],\ # V_new[i],alpha,similarity_old[i],similarity_new[i]) # print('Temperature:{:3.3f}: '.format(temperature)+' '.join(id2sen(input[i]))) pos += 1 return input,V_old

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null

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7

3f1164376b30ce3f12fa766e831706a3cadc5a43

11,651

py

Python

MIDIUtil-0.89/MIDIUtil-0.89/src/unittests/miditest.py

ax300/ReadSheet

f1ce1c9c97d5c922aa95b9120152f9c62fab829d

[ "MIT" ]

254

2017-07-11T14:05:30.000Z

2022-03-28T01:45:15.000Z

MIDIUtil-0.89/MIDIUtil-0.89/src/unittests/miditest.py

ax300/ReadSheet

f1ce1c9c97d5c922aa95b9120152f9c62fab829d

[ "MIT" ]

1

2017-11-26T11:52:40.000Z

MIDIUtil-0.89/MIDIUtil-0.89/src/unittests/miditest.py

ax300/ReadSheet

f1ce1c9c97d5c922aa95b9120152f9c62fab829d

[ "MIT" ]

86

2017-05-10T09:46:04.000Z

2022-01-21T05:51:25.000Z

#----------------------------------------------------------------------------- # Name: miditest.py # Purpose: Unit testing harness for midiutil # # Author: Mark Conway Wirt <emergentmusics) at (gmail . com> # # Created: 2008/04/17 # Copyright: (c) 2009, Mark Conway Wirt # License: Please see License.txt for the terms under which this # software is distributed. #----------------------------------------------------------------------------- # Next few lines are necessary owing to limitations of the IDE and the # directory structure of the project. import sys, struct sys.path.append('..') import unittest from midiutil.MidiFile import MIDIFile, MIDIHeader, MIDITrack, writeVarLength, \ frequencyTransform, returnFrequency import sys class TestMIDIUtils(unittest.TestCase): def testWriteVarLength(self): self.assertEquals(writeVarLength(0x70), [0x70]) self.assertEquals(writeVarLength(0x80), [0x81, 0x00]) self.assertEquals(writeVarLength(0x1FFFFF), [0xFF, 0xFF, 0x7F]) self.assertEquals(writeVarLength(0x08000000), [0xC0, 0x80, 0x80, 0x00]) def testAddNote(self): MyMIDI = MIDIFile(1) MyMIDI.addNote(0, 0, 100,0,1,100) self.assertEquals(MyMIDI.tracks[0].eventList[0].type, "note") self.assertEquals(MyMIDI.tracks[0].eventList[0].pitch, 100) self.assertEquals(MyMIDI.tracks[0].eventList[0].time, 0) self.assertEquals(MyMIDI.tracks[0].eventList[0].duration, 1) self.assertEquals(MyMIDI.tracks[0].eventList[0].volume, 100) def testDeinterleaveNotes(self): MyMIDI = MIDIFile(1) MyMIDI.addNote(0, 0, 100, 0, 2, 100) MyMIDI.addNote(0, 0, 100, 1, 2, 100) MyMIDI.close() self.assertEquals(MyMIDI.tracks[0].MIDIEventList[0].type, 'NoteOn') self.assertEquals(MyMIDI.tracks[0].MIDIEventList[0].time, 0) self.assertEquals(MyMIDI.tracks[0].MIDIEventList[1].type, 'NoteOff') self.assertEquals(MyMIDI.tracks[0].MIDIEventList[1].time, 960) self.assertEquals(MyMIDI.tracks[0].MIDIEventList[2].type, 'NoteOn') self.assertEquals(MyMIDI.tracks[0].MIDIEventList[2].time, 0) self.assertEquals(MyMIDI.tracks[0].MIDIEventList[3].type, 'NoteOff') self.assertEquals(MyMIDI.tracks[0].MIDIEventList[3].time, 1920) def testTimeShift(self): # With one track MyMIDI = MIDIFile(1) MyMIDI.addNote(0, 0, 100, 5, 1, 100) MyMIDI.close() self.assertEquals(MyMIDI.tracks[0].MIDIEventList[0].type, 'NoteOn') self.assertEquals(MyMIDI.tracks[0].MIDIEventList[0].time, 0) self.assertEquals(MyMIDI.tracks[0].MIDIEventList[1].type, 'NoteOff') self.assertEquals(MyMIDI.tracks[0].MIDIEventList[1].time, 960) # With two tracks MyMIDI = MIDIFile(2) MyMIDI.addNote(0, 0, 100, 5, 1, 100) MyMIDI.addNote(1, 0, 100, 6, 1, 100) MyMIDI.close() self.assertEquals(MyMIDI.tracks[0].MIDIEventList[0].type, 'NoteOn') self.assertEquals(MyMIDI.tracks[0].MIDIEventList[0].time, 0) self.assertEquals(MyMIDI.tracks[0].MIDIEventList[1].type, 'NoteOff') self.assertEquals(MyMIDI.tracks[0].MIDIEventList[1].time, 960) self.assertEquals(MyMIDI.tracks[1].MIDIEventList[0].type, 'NoteOn') self.assertEquals(MyMIDI.tracks[1].MIDIEventList[0].time, 960) self.assertEquals(MyMIDI.tracks[1].MIDIEventList[1].type, 'NoteOff') self.assertEquals(MyMIDI.tracks[1].MIDIEventList[1].time, 960) # Negative Time MyMIDI = MIDIFile(1) MyMIDI.addNote(0, 0, 100, -5, 1, 100) MyMIDI.close() self.assertEquals(MyMIDI.tracks[0].MIDIEventList[0].type, 'NoteOn') self.assertEquals(MyMIDI.tracks[0].MIDIEventList[0].time, 0) self.assertEquals(MyMIDI.tracks[0].MIDIEventList[1].type, 'NoteOff') self.assertEquals(MyMIDI.tracks[0].MIDIEventList[1].time, 960) # Negative time, two tracks MyMIDI = MIDIFile(2) MyMIDI.addNote(0, 0, 100, -1, 1, 100) MyMIDI.addNote(1, 0, 100, 0, 1, 100) MyMIDI.close() self.assertEquals(MyMIDI.tracks[0].MIDIEventList[0].type, 'NoteOn') self.assertEquals(MyMIDI.tracks[0].MIDIEventList[0].time, 0) self.assertEquals(MyMIDI.tracks[0].MIDIEventList[1].type, 'NoteOff') self.assertEquals(MyMIDI.tracks[0].MIDIEventList[1].time, 960) self.assertEquals(MyMIDI.tracks[1].MIDIEventList[0].type, 'NoteOn') self.assertEquals(MyMIDI.tracks[1].MIDIEventList[0].time, 960) self.assertEquals(MyMIDI.tracks[1].MIDIEventList[1].type, 'NoteOff') self.assertEquals(MyMIDI.tracks[1].MIDIEventList[1].time, 960) def testFrequency(self): freq = frequencyTransform(8.1758) self.assertEquals(freq[0], 0x00) self.assertEquals(freq[1], 0x00) self.assertEquals(freq[2], 0x00) freq = frequencyTransform(8.66196) # 8.6620 in MIDI documentation self.assertEquals(freq[0], 0x01) self.assertEquals(freq[1], 0x00) self.assertEquals(freq[2], 0x00) freq = frequencyTransform(440.00) self.assertEquals(freq[0], 0x45) self.assertEquals(freq[1], 0x00) self.assertEquals(freq[2], 0x00) freq = frequencyTransform(440.0016) self.assertEquals(freq[0], 0x45) self.assertEquals(freq[1], 0x00) self.assertEquals(freq[2], 0x01) freq = frequencyTransform(439.9984) self.assertEquals(freq[0], 0x44) self.assertEquals(freq[1], 0x7f) self.assertEquals(freq[2], 0x7f) freq = frequencyTransform(8372.0190) self.assertEquals(freq[0], 0x78) self.assertEquals(freq[1], 0x00) self.assertEquals(freq[2], 0x00) freq = frequencyTransform(8372.062) #8372.0630 in MIDI documentation self.assertEquals(freq[0], 0x78) self.assertEquals(freq[1], 0x00) self.assertEquals(freq[2], 0x01) freq = frequencyTransform(13289.7300) self.assertEquals(freq[0], 0x7F) self.assertEquals(freq[1], 0x7F) self.assertEquals(freq[2], 0x7E) freq = frequencyTransform(12543.8760) self.assertEquals(freq[0], 0x7F) self.assertEquals(freq[1], 0x00) self.assertEquals(freq[2], 0x00) freq = frequencyTransform(8.2104) # Just plain wrong in documentation, as far as I can tell. #self.assertEquals(freq[0], 0x0) #self.assertEquals(freq[1], 0x0) #self.assertEquals(freq[2], 0x1) # Test the inverse testFreq = 15.0 accuracy = 0.00001 x = returnFrequency(frequencyTransform(testFreq)) delta = abs(testFreq - x) self.assertEquals(delta < (accuracy*testFreq), True) testFreq = 200.0 x = returnFrequency(frequencyTransform(testFreq)) delta = abs(testFreq - x) self.assertEquals(delta < (accuracy*testFreq), True) testFreq = 400.0 x = returnFrequency(frequencyTransform(testFreq)) delta = abs(testFreq - x) self.assertEquals(delta < (accuracy*testFreq), True) testFreq = 440.0 x = returnFrequency(frequencyTransform(testFreq)) delta = abs(testFreq - x) self.assertEquals(delta < (accuracy*testFreq), True) testFreq = 1200.0 x = returnFrequency(frequencyTransform(testFreq)) delta = abs(testFreq - x) self.assertEquals(delta < (accuracy*testFreq), True) testFreq = 5000.0 x = returnFrequency(frequencyTransform(testFreq)) delta = abs(testFreq - x) self.assertEquals(delta < (accuracy*testFreq), True) testFreq = 12000.0 x = returnFrequency(frequencyTransform(testFreq)) delta = abs(testFreq - x) self.assertEquals(delta < (accuracy*testFreq), True) def testSysEx(self): MyMIDI = MIDIFile(1) MyMIDI.addSysEx(0,0, 0, struct.pack('>B', 0x01)) MyMIDI.close() self.assertEquals(MyMIDI.tracks[0].MIDIEventList[0].type, 'SysEx') self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[0])[0], 0x00) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[1])[0], 0xf0) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[2])[0], 3) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[3])[0], 0x00) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[4])[0], 0x01) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[5])[0], 0xf7) def testUniversalSysEx(self): MyMIDI = MIDIFile(1) MyMIDI.addUniversalSysEx(0,0, 1, 2, struct.pack('>B', 0x01)) MyMIDI.close() self.assertEquals(MyMIDI.tracks[0].MIDIEventList[0].type, 'UniversalSysEx') self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[0])[0], 0x00) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[1])[0], 0xf0) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[2])[0], 6) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[3])[0], 0x7E) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[4])[0], 0x7F) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[5])[0], 0x01) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[6])[0], 0x02) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[7])[0], 0x01) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[8])[0], 0xf7) def testTuning(self): MyMIDI = MIDIFile(1) MyMIDI.changeNoteTuning(0, [(1, 440), (2, 880)]) MyMIDI.close() self.assertEquals(MyMIDI.tracks[0].MIDIEventList[0].type, 'UniversalSysEx') self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[0])[0], 0x00) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[1])[0], 0xf0) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[2])[0], 15) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[3])[0], 0x7E) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[4])[0], 0x7F) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[5])[0], 0x08) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[6])[0], 0x02) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[7])[0], 0x00) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[8])[0], 0x2) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[9])[0], 0x1) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[10])[0], 69) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[11])[0], 0) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[12])[0], 0) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[13])[0], 0x2) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[14])[0], 81) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[15])[0], 0) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[16])[0], 0) self.assertEquals(struct.unpack('>B', MyMIDI.tracks[0].MIDIdata[17])[0], 0xf7) MIDISuite = unittest.TestLoader().loadTestsFromTestCase(TestMIDIUtils) if __name__ == '__main__': unittest.TextTestRunner(verbosity=1).run(MIDISuite)

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100

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null

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1

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null

0

1

0

7

3f3f1f684bd05913d43c1c48506e489e710ed443

21,866

py

Python

Dashboard/views.py

sporiyano/archerysec

207777100b8e0d2049fc7f2efa5bf47547fb7112

[ "BSD-3-Clause" ]

1

2019-06-27T07:36:53.000Z

Dashboard/views.py

sacseacyber/archerysec

207777100b8e0d2049fc7f2efa5bf47547fb7112

[ "BSD-3-Clause" ]

null

Dashboard/views.py

sacseacyber/archerysec

207777100b8e0d2049fc7f2efa5bf47547fb7112

[ "BSD-3-Clause" ]

2

2018-03-06T03:34:34.000Z

2019-07-03T03:24:00.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals from webscanners.models import zap_scans_db, burp_scan_db from networkscanners.models import scan_save_db from projects.models import project_db from django.shortcuts import render, render_to_response, HttpResponse from itertools import chain from django.db.models import Sum import ast # Create your views here. chart = [] all_high_stat = "" data = "" def dash_call(request): all_project = project_db.objects.all() all_zap_scan = zap_scans_db.objects.aggregate(Sum('total_vul')) all_burp_scan = burp_scan_db.objects.aggregate(Sum('total_vul')) all_openvas_scan = scan_save_db.objects.aggregate(Sum('total_vul')) for key, value in all_zap_scan.iteritems(): if value is None: all_zap = '0' else: all_zap = value for key, value in all_burp_scan.iteritems(): if value is None: all_burp = '0' else: all_burp = value for key, value in all_openvas_scan.iteritems(): if value is None: all_openvas = '0' else: all_openvas = value all_vuln = int(all_zap) + int(all_burp) + int(all_openvas) total_network = all_openvas total_web = int(all_zap) + int(all_burp) all_zap_high = zap_scans_db.objects.aggregate(Sum('high_vul')) all_burp_high = burp_scan_db.objects.aggregate(Sum('high_vul')) all_openvas_high = scan_save_db.objects.aggregate(Sum('high_total')) for key, value in all_zap_high.iteritems(): if value is None: zap_high = '0' else: zap_high = value for key, value in all_burp_high.iteritems(): if value is None: burp_high = '0' else: burp_high = value for key, value in all_openvas_high.iteritems(): if value is None: openvas_high = '0' else: openvas_high = value all_high = int(zap_high) + int(burp_high) + int(openvas_high) all_web_high = int(zap_high) + int(burp_high) all_network_high = openvas_high all_zap_medium = zap_scans_db.objects.aggregate(Sum('medium_vul')) all_burp_medium = burp_scan_db.objects.aggregate(Sum('medium_vul')) all_openvas_medium = scan_save_db.objects.aggregate(Sum('medium_total')) for key, value in all_zap_medium.iteritems(): if value is None: zap_medium = '0' else: zap_medium = value for key, value in all_burp_medium.iteritems(): if value is None: burp_medium = '0' else: burp_medium = value for key, value in all_openvas_medium.iteritems(): if value is None: openvas_medium = '0' else: openvas_medium = value all_medium = int(zap_medium) + int(burp_medium) + int(openvas_medium) all_web_medium = int(zap_medium) + int(burp_medium) all_network_medium = openvas_medium all_zap_low = zap_scans_db.objects.aggregate(Sum('low_vul')) all_burp_low = burp_scan_db.objects.aggregate(Sum('low_vul')) all_openvas_low = scan_save_db.objects.aggregate(Sum('low_total')) for key, value in all_zap_low.iteritems(): if value is None: zap_low = '0' else: zap_low = value for key, value in all_burp_low.iteritems(): if value is None: burp_low = '0' else: burp_low = value for key, value in all_openvas_low.iteritems(): if value is None: openvas_low = '0' else: openvas_low = value all_low = int(zap_low) + int(burp_low) + int(openvas_low) all_web_low = int(zap_low) + int(burp_low) all_network_low = openvas_low return render(request, 'dashboard.html', {'all_project': all_project, 'all_vuln': all_vuln, 'total_web': total_web, 'total_network': total_network, 'all_high': all_high, 'all_medium': all_medium, 'all_low': all_low, 'all_web_high': all_web_high, 'all_web_medium': all_web_medium, 'all_network_medium': all_network_medium, 'all_network_high': all_network_high, 'all_web_low': all_web_low, 'all_network_low': all_network_low }) import json def vuln_static_dashboard(request): global dash_year all_zap_scan = zap_scans_db.objects.aggregate(Sum('total_vul')) all_burp_scan = burp_scan_db.objects.aggregate(Sum('total_vul')) all_openvas_scan = scan_save_db.objects.aggregate(Sum('total_vul')) for key, value in all_zap_scan.iteritems(): if value is None: all_zap = '0' else: all_zap = value for key, value in all_burp_scan.iteritems(): if value is None: all_burp = '0' else: all_burp = value for key, value in all_openvas_scan.iteritems(): if value is None: all_openvas = '0' else: all_openvas = value all_vuln = int(all_zap) + int(all_burp) + int(all_openvas) total_network = all_openvas total_web = int(all_zap) + int(all_burp) all_zap_high = zap_scans_db.objects.aggregate(Sum('high_vul')) all_burp_high = burp_scan_db.objects.aggregate(Sum('high_vul')) all_openvas_high = scan_save_db.objects.aggregate(Sum('high_total')) for key, value in all_zap_high.iteritems(): if value is None: zap_high = '0' else: zap_high = value for key, value in all_burp_high.iteritems(): if value is None: burp_high = '0' else: burp_high = value for key, value in all_openvas_high.iteritems(): if value is None: openvas_high = '0' else: openvas_high = value all_high = int(zap_high) + int(burp_high) + int(openvas_high) all_web_high = int(zap_high) + int(burp_high) all_network_high = openvas_high all_zap_medium = zap_scans_db.objects.aggregate(Sum('medium_vul')) all_burp_medium = burp_scan_db.objects.aggregate(Sum('medium_vul')) all_openvas_medium = scan_save_db.objects.aggregate(Sum('medium_total')) for key, value in all_zap_medium.iteritems(): if value is None: zap_medium = '0' else: zap_medium = value for key, value in all_burp_medium.iteritems(): if value is None: burp_medium = '0' else: burp_medium = value for key, value in all_openvas_medium.iteritems(): if value is None: openvas_medium = '0' else: openvas_medium = value all_medium = int(zap_medium) + int(burp_medium) + int(openvas_medium) all_web_medium = int(zap_medium) + int(burp_medium) all_network_medium = openvas_medium all_zap_low = zap_scans_db.objects.aggregate(Sum('low_vul')) all_burp_low = burp_scan_db.objects.aggregate(Sum('low_vul')) all_openvas_low = scan_save_db.objects.aggregate(Sum('low_total')) for key, value in all_zap_low.iteritems(): if value is None: zap_low = '0' else: zap_low = value for key, value in all_burp_low.iteritems(): if value is None: burp_low = '0' else: burp_low = value for key, value in all_openvas_low.iteritems(): if value is None: openvas_low = '0' else: openvas_low = value all_low = int(zap_low) + int(burp_low) + int(openvas_low) all_web_low = int(zap_low) + int(burp_low) all_network_low = openvas_low try: if request.method == "POST": dash_year = request.POST.get("year") high_list = [] for m in range(1, 13): high_zap = zap_scans_db.objects.filter(date_time__year=dash_year, date_time__month=m).aggregate( Sum('high_vul')) high_burp = burp_scan_db.objects.filter(date_time__year=dash_year, date_time__month=m).aggregate( Sum('high_vul')) high_openvas = scan_save_db.objects.filter(date_time__year=dash_year, date_time__month=m).aggregate( Sum('high_total')) for key, value in high_zap.iteritems(): if value is None: zap_high = '0' else: zap_high = value for key, value in high_burp.iteritems(): if value is None: burp_high = '0' else: burp_high = value for key, value in high_openvas.iteritems(): if value is None: openvas_high = '0' else: openvas_high = value global data all_high_stat = int(zap_high) + int(burp_high) + int(openvas_high) medium_zap = zap_scans_db.objects.filter(date_time__year=dash_year, date_time__month=m).aggregate( Sum('medium_vul')) medium_burp = burp_scan_db.objects.filter(date_time__year=dash_year, date_time__month=m).aggregate( Sum('medium_vul')) medium_openvas = scan_save_db.objects.filter(date_time__year=dash_year, date_time__month=m).aggregate( Sum('medium_total')) for key, value in medium_zap.iteritems(): if value is None: zap_medium = '0' else: zap_medium = value for key, value in medium_burp.iteritems(): if value is None: burp_medium = '0' else: burp_medium = value for key, value in medium_openvas.iteritems(): if value is None: openvas_medium = '0' else: openvas_medium = value global data all_medium_stat = int(zap_medium) + int(burp_medium) + int(openvas_medium) low_zap = zap_scans_db.objects.filter(date_time__year=dash_year, date_time__month=m).aggregate( Sum('low_vul')) low_burp = burp_scan_db.objects.filter(date_time__year=dash_year, date_time__month=m).aggregate( Sum('low_vul')) low_openvas = scan_save_db.objects.filter(date_time__year=dash_year, date_time__month=m).aggregate( Sum('low_total')) for key, value in low_zap.iteritems(): if value is None: zap_low = '0' else: zap_low = value for key, value in low_burp.iteritems(): if value is None: burp_low = '0' else: burp_low = value for key, value in low_openvas.iteritems(): if value is None: openvas_low = '0' else: openvas_low = value global data all_low_stat = int(zap_low) + int(burp_low) + int(openvas_low) data = {m: {'h': all_high_stat, 'm': all_medium_stat, 'l': all_low_stat}} high_list.append(data) except Exception as e: print "Error got !!!" return render(request, 'dashboard.html', {'high_data': high_list, 'dash_year': dash_year, 'all_vuln': all_vuln, 'total_web': total_web, 'total_network': total_network, 'all_high': all_high, 'all_medium': all_medium, 'all_low': all_low, 'all_web_high': all_web_high, 'all_web_medium': all_web_medium, 'all_network_medium': all_network_medium, 'all_network_high': all_network_high, 'all_web_low': all_web_low, 'all_network_low': all_network_low }) def project_dashboard(request): global all_vuln, total_web, all_high, total_network, all_medium, all_low, all_web_high, all_web_medium, all_network_medium, all_web_low, all_network_low, all_network_high all_project = project_db.objects.all() return render(request, 'project_dashboard.html', {'all_project': all_project, }) def proj_data(request): all_project = project_db.objects.all() if request.GET['project_id']: project_id = request.GET['project_id'] else: project_id = '' all_zap_scan = zap_scans_db.objects.filter(project_id=project_id).aggregate(Sum('total_vul')) all_burp_scan = burp_scan_db.objects.filter(project_id=project_id).aggregate(Sum('total_vul')) all_openvas_scan = scan_save_db.objects.filter(project_id=project_id).aggregate(Sum('total_vul')) for key, value in all_zap_scan.iteritems(): if value is None: all_zap = '0' else: all_zap = value for key, value in all_burp_scan.iteritems(): if value is None: all_burp = '0' else: all_burp = value for key, value in all_openvas_scan.iteritems(): if value is None: all_openvas = '0' else: all_openvas = value all_vuln = int(all_zap) + int(all_burp) + int(all_openvas) total_network = all_openvas total_web = int(all_zap) + int(all_burp) all_zap_high = zap_scans_db.objects.filter(project_id=project_id).aggregate(Sum('high_vul')) all_burp_high = burp_scan_db.objects.filter(project_id=project_id).aggregate(Sum('high_vul')) all_openvas_high = scan_save_db.objects.filter(project_id=project_id).aggregate(Sum('high_total')) for key, value in all_zap_high.iteritems(): if value is None: zap_high = '0' else: zap_high = value for key, value in all_burp_high.iteritems(): if value is None: burp_high = '0' else: burp_high = value for key, value in all_openvas_high.iteritems(): if value is None: openvas_high = '0' else: openvas_high = value all_high = int(zap_high) + int(burp_high) + int(openvas_high) all_web_high = int(zap_high) + int(burp_high) all_network_high = openvas_high all_zap_medium = zap_scans_db.objects.filter(project_id=project_id).aggregate(Sum('medium_vul')) all_burp_medium = burp_scan_db.objects.filter(project_id=project_id).aggregate(Sum('medium_vul')) all_openvas_medium = scan_save_db.objects.filter(project_id=project_id).aggregate(Sum('medium_total')) for key, value in all_zap_medium.iteritems(): if value is None: zap_medium = '0' else: zap_medium = value for key, value in all_burp_medium.iteritems(): if value is None: burp_medium = '0' else: burp_medium = value for key, value in all_openvas_medium.iteritems(): if value is None: openvas_medium = '0' else: openvas_medium = value all_medium = int(zap_medium) + int(burp_medium) + int(openvas_medium) all_web_medium = int(zap_medium) + int(burp_medium) all_network_medium = openvas_medium all_zap_low = zap_scans_db.objects.filter(project_id=project_id).aggregate(Sum('low_vul')) all_burp_low = burp_scan_db.objects.filter(project_id=project_id).aggregate(Sum('low_vul')) all_openvas_low = scan_save_db.objects.filter(project_id=project_id).aggregate(Sum('low_total')) for key, value in all_zap_low.iteritems(): if value is None: zap_low = '0' else: zap_low = value for key, value in all_burp_low.iteritems(): if value is None: burp_low = '0' else: burp_low = value for key, value in all_openvas_low.iteritems(): if value is None: openvas_low = '0' else: openvas_low = value all_low = int(zap_low) + int(burp_low) + int(openvas_low) all_web_low = int(zap_low) + int(burp_low) all_network_low = openvas_low return render(request, 'project_dashboard.html', {'all_vuln': all_vuln, 'total_web': total_web, 'total_network': total_network, 'all_high': all_high, 'all_medium': all_medium, 'all_low': all_low, 'all_web_high': all_web_high, 'all_web_medium': all_web_medium, 'all_network_medium': all_network_medium, 'all_network_high': all_network_high, 'all_web_low': all_web_low, 'all_network_low': all_network_low, 'all_project': all_project}) def web_dashboard(request): all_burp_data = burp_scan_db.objects.all() all_zap_data = zap_scans_db.objects.all() all_web_data = chain(all_burp_data, all_zap_data) return render(request, 'web_scan_dashboard.html', {'all_web_data': all_web_data}) def web_dash_data(request): all_burp_data = burp_scan_db.objects.all() all_zap_data = zap_scans_db.objects.all() all_web_data = chain(all_burp_data, all_zap_data) if request.GET['scan_id']: scan_id = request.GET['scan_id'] else: scan_id = '' all_zap_scan = zap_scans_db.objects.filter(scan_scanid=scan_id).aggregate(Sum('total_vul')) all_burp_scan = burp_scan_db.objects.filter(scan_id=scan_id).aggregate(Sum('total_vul')) for key, value in all_zap_scan.iteritems(): if value is None: all_zap = '0' else: all_zap = value for key, value in all_burp_scan.iteritems(): if value is None: all_burp = '0' else: all_burp = value all_vuln = int(all_zap) + int(all_burp) total_web = all_vuln all_zap_high = zap_scans_db.objects.filter(scan_scanid=scan_id).aggregate(Sum('high_vul')) all_burp_high = burp_scan_db.objects.filter(scan_id=scan_id).aggregate(Sum('high_vul')) for key, value in all_zap_high.iteritems(): if value is None: all_high_zap = '0' else: all_high_zap = value for key, value in all_burp_high.iteritems(): if value is None: all_high_burp = '0' else: all_high_burp = value all_high = int(all_high_zap) + int(all_high_burp) all_zap_medium = zap_scans_db.objects.filter(scan_scanid=scan_id).aggregate(Sum('medium_vul')) all_burp_medium = burp_scan_db.objects.filter(scan_id=scan_id).aggregate(Sum('medium_vul')) for key, value in all_zap_medium.iteritems(): if value is None: all_medium_zap = '0' else: all_medium_zap = value for key, value in all_burp_medium.iteritems(): if value is None: all_medium_burp = '0' else: all_medium_burp = value all_medium = int(all_medium_zap) + int(all_medium_burp) all_zap_low = zap_scans_db.objects.filter(scan_scanid=scan_id).aggregate(Sum('low_vul')) all_burp_low = burp_scan_db.objects.filter(scan_id=scan_id).aggregate(Sum('low_vul')) for key, value in all_zap_low.iteritems(): if value is None: all_low_zap = '0' else: all_low_zap = value for key, value in all_burp_low.iteritems(): if value is None: all_low_burp = '0' else: all_low_burp = value all_low = int(all_low_zap) + int(all_low_burp) return render(request, 'web_scan_dashboard.html', {'all_web_data': all_web_data, 'total_web': total_web, 'all_high': all_high, 'all_medium': all_medium, 'all_low': all_low}) def net_dashboard(request): all_openvas_data = scan_save_db.objects.all() all_network_data = all_openvas_data return render(request, 'network_scan_dashboard.html', {'all_network_data': all_network_data}) def net_dash_data(request): all_openvas_data = scan_save_db.objects.all() all_network_data = all_openvas_data if request.GET['scan_id']: scan_id = request.GET['scan_id'] else: scan_id = '' all_openvas_scan = scan_save_db.objects.filter(scan_id=scan_id).aggregate(Sum('total_vul')) for key, value in all_openvas_scan.iteritems(): if value is None: all_openvas = '0' else: all_openvas = value total_network = all_openvas all_openvas_high = scan_save_db.objects.filter(scan_id=scan_id).aggregate(Sum('high_total')) for key, value in all_openvas_high.iteritems(): if value is None: openvas_high = '0' else: openvas_high = value all_network_high = openvas_high all_openvas_medium = scan_save_db.objects.filter(scan_id=scan_id).aggregate(Sum('medium_total')) for key, value in all_openvas_medium.iteritems(): if value is None: openvas_medium = '0' else: openvas_medium = value all_network_medium = openvas_medium all_openvas_low = scan_save_db.objects.filter(scan_id=scan_id).aggregate(Sum('low_total')) for key, value in all_openvas_low.iteritems(): if value is None: openvas_low = '0' else: openvas_low = value all_network_low = openvas_low return render(request, 'network_scan_dashboard.html', {'all_network_data': all_network_data, 'total_network': total_network, 'all_network_high': all_network_high, 'all_network_medium': all_network_medium, 'all_network_low': all_network_low})

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58dbd9ddab5a26d9d501bc4dd689344b9da161ed

40,001

py

Python

gulinalg/tests/test_gufunc_general.py

grlee77/gulinalg

21c62eaa7d3777a3bf7fa58c66d084af7c4d5579

[ "BSD-2-Clause" ]

1

2020-11-16T21:07:26.000Z

gulinalg/tests/test_gufunc_general.py

grlee77/gulinalg

21c62eaa7d3777a3bf7fa58c66d084af7c4d5579

[ "BSD-2-Clause" ]

7

2020-11-09T16:34:03.000Z

2021-01-21T15:43:40.000Z

gulinalg/tests/test_gufunc_general.py

grlee77/gulinalg

21c62eaa7d3777a3bf7fa58c66d084af7c4d5579

[ "BSD-2-Clause" ]

2

2020-11-13T19:48:44.000Z

2021-04-17T14:52:11.000Z

""" Tests BLAS functions. Since it supports C as well as Fortran matrix, that leads to various combinations of matrices to test. """ from __future__ import print_function from itertools import product from functools import partial from unittest import TestCase, skipIf import numpy as np from numpy.testing import (run_module_suite, assert_allclose, assert_, assert_raises) from pkg_resources import parse_version import gulinalg M = 75 N = 50 K = 100 n_batch = 8 class TestInner1d(TestCase): def test_real(self): a = np.random.randn(N) b = np.random.randn(N) res = gulinalg.inner1d(a, b) ref = np.sum(a * b) assert_allclose(res, ref) def test_complex(self): a = np.random.randn(N) + 1j * np.random.randn(N) b = np.random.randn(N) + 1j * np.random.randn(N) res = gulinalg.inner1d(a, b) ref = np.sum(a * b) assert_allclose(res, ref) def test_real_vector(self): a = np.random.randn(n_batch, N) b = np.random.randn(n_batch, N) for workers in [1, -1]: res = gulinalg.inner1d(a, b, workers=workers) ref = np.sum(a * b, axis=-1) assert_allclose(res, ref) def test_complex_vector(self): a = np.random.randn(n_batch, N) + 1j * np.random.randn(n_batch, N) b = np.random.randn(n_batch, N) + 1j * np.random.randn(n_batch, N) for workers in [1, -1]: res = gulinalg.inner1d(a, b, workers=workers) ref = np.sum(a * b, axis=-1) assert_allclose(res, ref) class TestDotc1d(TestCase): def test_complex(self): a = np.random.randn(N) + 1j * np.random.randn(N) b = np.random.randn(N) + 1j * np.random.randn(N) res = gulinalg.dotc1d(a, b) ref = np.sum(np.conj(a) * b) assert_allclose(res, ref) def test_complex_vector(self): a = np.random.randn(n_batch, N) + 1j * np.random.randn(n_batch, N) b = np.random.randn(n_batch, N) + 1j * np.random.randn(n_batch, N) for workers in [1, -1]: res = gulinalg.dotc1d(a, b, workers=workers) ref = np.sum(np.conj(a) * b, axis=-1) assert_allclose(res, ref) class TestInnerwt(TestCase): def test_real(self): a = np.random.randn(N) b = np.random.randn(N) c = np.random.randn(N) res = gulinalg.innerwt(a, b, c) ref = np.sum(a * b * c) assert_allclose(res, ref) def test_complex(self): a = np.random.randn(N) + 1j * np.random.randn(N) b = np.random.randn(N) + 1j * np.random.randn(N) c = np.random.randn(N) + 1j * np.random.randn(N) res = gulinalg.innerwt(a, b, c) ref = np.sum(a * b * c) assert_allclose(res, ref) def test_real_vector(self): a = np.random.randn(n_batch, N) b = np.random.randn(n_batch, N) c = np.random.randn(n_batch, N) for workers in [1, -1]: res = gulinalg.innerwt(a, b, c, workers=workers) ref = np.sum(a * b * c, axis=-1) assert_allclose(res, ref) def test_complex_vector(self): a = np.random.randn(n_batch, N) + 1j * np.random.randn(n_batch, N) b = np.random.randn(n_batch, N) + 1j * np.random.randn(n_batch, N) c = np.random.randn(n_batch, N) + 1j * np.random.randn(n_batch, N) for workers in [1, -1]: res = gulinalg.innerwt(a, b, c, workers=workers) ref = np.sum(a * b * c, axis=-1) assert_allclose(res, ref) class TestMatvecMultiplyNoCopy(TestCase): """ Tests the cases that code can handle without copy-rearranging of any of the input/output arguments. """ def test_matvec_multiply_c(self): """Multiply C layout matrix with vector""" a = np.ascontiguousarray(np.random.randn(M, N)) b = np.random.randn(N) res = gulinalg.matvec_multiply(a, b) ref = np.dot(a, b) assert_allclose(res, ref) def test_matvec_multiply_f(self): """Multiply FORTRAN layout matrix with vector""" a = np.asfortranarray(np.random.randn(M, N)) b = np.random.randn(N) res = gulinalg.matvec_multiply(a, b) ref = np.dot(a, b) assert_allclose(res, ref) def test_matvec_multiply_cv_c(self): """Test for explicit C array output for C layout input matrix""" a = np.ascontiguousarray(np.random.randn(M, N)) b = np.ascontiguousarray(np.random.randn(N)) res = np.zeros(M, order='C') gulinalg.matvec_multiply(a, b, out=res) ref = np.dot(a, b) assert_allclose(res, ref) def test_matvec_multiply_fv_c(self): """Test for explicit C array output for FORTRAN layout input matrix""" a = np.asfortranarray(np.random.randn(M, N)) b = np.ascontiguousarray(np.random.randn(N)) res = np.zeros(M, order='C') gulinalg.matvec_multiply(a, b, out=res) ref = np.dot(a, b) assert_allclose(res, ref) def test_matvec_multiply_cv_f(self): """Test for explicit FORTRAN array output for C layout input matrix""" a = np.ascontiguousarray(np.random.randn(M, N)) b = np.ascontiguousarray(np.random.randn(N)) res = np.zeros(M, order='F') gulinalg.matvec_multiply(a, b, out=res) ref = np.dot(a, b) assert_allclose(res, ref) def test_matvec_multiply_fv_f(self): """Test for explicit FORTRAN array output for F layout input matrix""" a = np.asfortranarray(np.random.randn(M, N)) b = np.ascontiguousarray(np.random.randn(N)) res = np.zeros(M, order='F') gulinalg.matvec_multiply(a, b, out=res) ref = np.dot(a, b) assert_allclose(res, ref) def test_matvec_multiply_for_complex_numbers(self): """Test for complex numbers input.""" a = np.array([[1 + 2j, 3 + 4j], [5 + 6j, 7 + -8j]]) b = np.array([1 - 2j, 4 + 5j]) res = gulinalg.matvec_multiply(a, b) ref = np.dot(a, b) assert_allclose(res, ref) @skipIf(parse_version(np.__version__) < parse_version('1.13'), "Prior to 1.13, numpy low level iterators didn't support removing " "empty axis. So gufunc couldn't be called with empty inner loop") def test_matvec_size_zero_matrix(self): """Test matrix of size zero""" a = np.random.randn(0, 2) b = np.random.randn(2) res = gulinalg.matvec_multiply(a, b) ref = np.dot(a, b) assert_allclose(res, ref) @skipIf(parse_version(np.__version__) < parse_version('1.13'), "Prior to 1.13, numpy low level iterators didn't support removing " "empty axis. So gufunc couldn't be called with empty inner loop") def test_matvec_size_zero_vector(self): """Test vector of size zero""" a = np.random.randn(2, 0) b = np.random.randn(0) res = gulinalg.matvec_multiply(a, b) ref = np.dot(a, b) assert_allclose(res, ref) def test_matvec_size_one_vector(self): """Test vector of size one""" a = np.random.randn(1, 1) b = np.random.randn(1) res = gulinalg.matvec_multiply(a, b) ref = np.dot(a, b) assert_allclose(res, ref) def test_matvec_multiply_batch_b(self): """Multiply C layout matrix with stack of vectors""" a = np.ascontiguousarray(np.random.randn(M, N)) b = np.random.randn(n_batch, N) for workers in [1, -1]: res = gulinalg.matvec_multiply(a, b) ref = np.matmul(a, b[:, :, np.newaxis])[..., 0] assert_allclose(res, ref) def test_matvec_multiply_batch_a(self): """Multiply C layout stack of matrices with a vector""" a = np.ascontiguousarray(np.random.randn(n_batch, M, N)) b = np.random.randn(N) for workers in [1, -1]: res = gulinalg.matvec_multiply(a, b) ref = np.matmul(a, b[:, np.newaxis])[..., 0] assert_allclose(res, ref) def test_matvec_multiply_batch_both(self): """Multiply C layout stack of matrices and vectors""" a = np.ascontiguousarray(np.random.randn(n_batch, M, N)) b = np.random.randn(n_batch, N) for workers in [1, -1]: res = gulinalg.matvec_multiply(a, b) ref = np.matmul(a, b[:, :, np.newaxis])[..., 0] assert_allclose(res, ref) def test_matvec_multiply_batch_both_out(self): """Multiply C layout stack of matrices and vectors""" a = np.ascontiguousarray(np.random.randn(n_batch, M, N)) b = np.random.randn(n_batch, N) res = np.zeros((n_batch, M), dtype=a.dtype) for workers in [1, -1]: gulinalg.matvec_multiply(a, b, out=res) ref = np.matmul(a, b[:, :, np.newaxis])[..., 0] assert_allclose(res, ref) class TestMatvecMultiplyWithCopy(TestCase): """ Test the cases where there is at least one operand/output that requires copy/rearranging. """ def test_input_non_contiguous_1(self): """First input not contiguous""" a = np.ascontiguousarray(np.random.randn(M, N, 2))[:, :, 0] b = np.ascontiguousarray(np.random.randn(N)) res = np.zeros(M, order='C') assert not a.flags.c_contiguous and not a.flags.f_contiguous gulinalg.matvec_multiply(a, b, out=res) ref = np.dot(a, b) assert_allclose(res, ref) def test_input_non_contiguous_2(self): """Second input not contiguous""" a = np.ascontiguousarray(np.random.randn(M, N)) b = np.ascontiguousarray(np.random.randn(N, 2))[:, 0] res = np.zeros(M, order='C') assert not b.flags.c_contiguous and not b.flags.f_contiguous gulinalg.matvec_multiply(a, b, out=res) ref = np.dot(a, b) assert_allclose(res, ref) def test_input_non_contiguous_3(self): """Neither input contiguous""" a = np.ascontiguousarray(np.random.randn(M, N, 2))[:, :, 0] b = np.ascontiguousarray(np.random.randn(N, 2))[:, 0] res = np.zeros(M, order='C') assert not a.flags.c_contiguous and not a.flags.f_contiguous assert not b.flags.c_contiguous and not b.flags.f_contiguous gulinalg.matvec_multiply(a, b, out=res) ref = np.dot(a, b) assert_allclose(res, ref) def test_output_non_contiguous(self): """Output not contiguous""" a = np.ascontiguousarray(np.random.randn(M, N)) b = np.ascontiguousarray(np.random.randn(N)) res = np.zeros((M, 2), order='C')[:, 0] assert not res.flags.c_contiguous and not res.flags.f_contiguous gulinalg.matvec_multiply(a, b, out=res) ref = np.dot(a, b) assert_allclose(res, ref) def test_all_non_contiguous(self): """Neither input nor output contiguous""" a = np.ascontiguousarray(np.random.randn(M, N, 2))[:, :, 0] b = np.ascontiguousarray(np.random.randn(N, 2))[:, 0] res = np.zeros((M, 2), order='C')[:, 0] assert not a.flags.c_contiguous and not a.flags.f_contiguous assert not b.flags.c_contiguous and not b.flags.f_contiguous assert not res.flags.c_contiguous and not res.flags.f_contiguous gulinalg.matvec_multiply(a, b, out=res) ref = np.dot(a, b) assert_allclose(res, ref) def test_stride_tricks(self): """Test that matrices that are contiguous but have their dimension overlapped *copy*, as BLAS does not support them""" a = np.ascontiguousarray(np.random.randn(M + N)) a = np.lib.stride_tricks.as_strided(a, shape=(M, N), strides=(a.itemsize, a.itemsize)) b = np.ascontiguousarray(np.random.randn(N)) res = gulinalg.matvec_multiply(a, b) ref = np.dot(a, b) assert_allclose(res, ref) def test_matvec_multiply_batch_both_out_non_contiguous(self): """Multiply C layout stack of matrices and vectors""" a = np.random.randn(n_batch, M, N, 2)[..., 0] b = np.random.randn(n_batch, N, 2)[..., 0] res = np.zeros((n_batch, M, 2), dtype=a.dtype)[..., 0] for workers in [1, -1]: gulinalg.matvec_multiply(a, b, out=res) ref = np.matmul(a, b[:, :, np.newaxis])[..., 0] assert_allclose(res, ref) class TestMatvecMultiplyVector(TestCase): """Tests showing that the gufunc stuff works""" def test_vector(self): """test vectorized matrix multiply""" a = np.ascontiguousarray(np.random.randn(10, M, N)) b = np.ascontiguousarray(np.random.randn(10, N)) res = gulinalg.matvec_multiply(a, b) assert res.shape == (10, M) ref = np.stack([np.dot(a[i], b[i]) for i in range(len(a))]) assert_allclose(res, ref) def test_broadcast(self): """test broadcast matrix multiply""" a = np.ascontiguousarray(np.random.randn(M, N)) b = np.ascontiguousarray(np.random.randn(10, N)) res = gulinalg.matvec_multiply(a, b) assert res.shape == (10, M) ref = np.stack([np.dot(a, b[i]) for i in range(len(b))]) assert_allclose(res, ref) def test_nan_handling(self): """NaN in one output shouldn't contaminate remaining outputs""" a = np.eye(2) b = np.array([[1.0, 2.0], [np.nan, 1.0]]) ref = np.array([[1., 2.], [np.nan, np.nan]]) res = gulinalg.matvec_multiply(a, b) assert_allclose(res, ref) def test_infinity_handling(self): """Infinity in one output shouldn't contaminate remaining outputs""" a = np.eye(2) b = np.array([[1.0, 2.0], [np.inf, 1.0]]) ref = np.array([[1., 2.], [np.inf, np.nan]]) res = gulinalg.matvec_multiply(a, b) assert_allclose(res, ref) @skipIf(parse_version(np.__version__) < parse_version('1.13'), "Prior to 1.13, numpy low level iterators didn't support removing " "empty axis. So gufunc couldn't be called with empty inner loop") def test_size_zero_vector(self): """Test broadcasting for vector of size zero""" a = np.ascontiguousarray(np.random.randn(10, 2, 0)) b = np.ascontiguousarray(np.random.randn(10, 0)) res = gulinalg.matvec_multiply(a, b) assert res.shape == (10, 2) ref = np.stack([np.dot(a[i], b[i]) for i in range(len(a))]) assert_allclose(res, ref) @skipIf(parse_version(np.__version__) < parse_version('1.13'), "Prior to 1.13, numpy low level iterators didn't support removing " "empty axis. So gufunc couldn't be called with empty inner loop") def test_size_zero_matrix(self): """Test broadcasting for matrix of size zero""" a = np.ascontiguousarray(np.random.randn(10, 0, 2)) b = np.ascontiguousarray(np.random.randn(10, 2)) res = gulinalg.matvec_multiply(a, b) assert res.shape == (10, 0) ref = np.stack([np.dot(a[i], b[i]) for i in range(len(a))]) assert_allclose(res, ref) def test_size_one_vector(self): """Test broadcasting for vector of size one""" a = np.ascontiguousarray(np.random.randn(10, 1, 1)) b = np.ascontiguousarray(np.random.randn(10, 1)) res = gulinalg.matvec_multiply(a, b) assert res.shape == (10, 1) ref = np.stack([np.dot(a[i], b[i]) for i in range(len(a))]) assert_allclose(res, ref) class TestUpdateRank1Copy(TestCase): """ Tests the cases that code can handle without copy-rearranging of any of the input/output arguments. """ def test_update_rank1_c(self): """Rank update on C layout matrix""" a = np.random.randn(M) b = np.random.randn(N) c = np.ascontiguousarray(np.random.randn(M, N)) res = gulinalg.update_rank1(a, b, c) ref = np.dot(a.reshape(M, 1), b.reshape(1, N)) + c assert_allclose(res, ref) def test_update_rank1_f(self): """Rank update on F layout matrix""" a = np.random.randn(M) b = np.random.randn(N) c = np.asfortranarray(np.random.randn(M, N)) res = gulinalg.update_rank1(a, b, c) ref = np.dot(a.reshape(M, 1), b.reshape(1, N)) + c assert_allclose(res, ref) def test_update_rank1_for_complex_numbers(self): """Test for complex numbers""" a = np.array([1 + 3j, 3 - 4j]) b = np.array([1 - 2j, 4 + 5j]) c = np.array([[1 + 2j, 3 + 4j], [5 + 6j, 7 + -8j]]) res = gulinalg.update_rank1(a, b, c) ref = np.dot(a.reshape(2, 1), b.conj().reshape(1, 2)) + c assert_allclose(res, ref) def test_update_rank1_for_complex_numbers_no_conjugate_transpose(self): """Test for complex numbers but no conjuage transpose""" a = np.array([1 + 3j, 3 - 4j]) b = np.array([1 - 2j, 4 + 5j]) c = np.array([[1 + 2j, 3 + 4j], [5 + 6j, 7 + -8j]]) res = gulinalg.update_rank1(a, b, c, conjugate=False) ref = np.dot(a.reshape(2, 1), b.reshape(1, 2)) + c assert_allclose(res, ref) def test_update_rank1_c_c(self): """Rank1 update on C layout matrix, explicit C array output""" a = np.array([2, 3, 4]) b = np.array([1, 3, 4, 5]) c = np.arange(1, 13).reshape(3, 4) res = np.zeros((3, 4), order='C') gulinalg.update_rank1(a, b, c, out=res) ref = np.dot(a.reshape(3, 1), b.reshape(1, 4)) + c assert_allclose(res, ref) def test_update_rank1_f_c(self): """Rank1 update on F layout matrix, explicit C array output""" a = np.array([2, 3, 4]) b = np.array([1, 3, 4, 5]) c = np.asfortranarray(np.arange(1, 13).reshape(3, 4)) res = np.zeros((3, 4), order='C') gulinalg.update_rank1(a, b, c, out=res) ref = np.dot(a.reshape(3, 1), b.reshape(1, 4)) + c assert_allclose(res, ref) def test_update_rank1_c_f(self): """Rank1 update on C layout matrix, explicit F array output""" a = np.array([2, 3, 4]) b = np.array([1, 3, 4, 5]) c = np.arange(1, 13).reshape(3, 4) res = np.zeros((3, 4), order='F') gulinalg.update_rank1(a, b, c, out=res) ref = np.dot(a.reshape(3, 1), b.reshape(1, 4)) + c assert_allclose(res, ref) def test_update_rank1_f_f(self): """Rank1 update on F layout matrix, explicit F array output""" a = np.array([2, 3, 4]) b = np.array([1, 3, 4, 5]) c = np.asfortranarray(np.arange(1, 13).reshape(3, 4)) res = np.zeros((3, 4), order='F') gulinalg.update_rank1(a, b, c, out=res) ref = np.dot(a.reshape(3, 1), b.reshape(1, 4)) + c assert_allclose(res, ref) @skipIf(parse_version(np.__version__) < parse_version('1.13'), "Prior to 1.13, numpy low level iterators didn't support removing " "empty axis. So gufunc couldn't be called with empty inner loop") def test_size_zero_vector(self): """Test vector input of size zero""" a = np.zeros(1) b = np.zeros(0) c = np.ascontiguousarray(np.random.randn(1, 0)) res = gulinalg.update_rank1(a, b, c) ref = np.dot(np.zeros((1, 0)), np.zeros((0, 0))) + c assert_allclose(res, ref) @skipIf(parse_version(np.__version__) < parse_version('1.13'), "Prior to 1.13, numpy low level iterators didn't support removing " "empty axis. So gufunc couldn't be called with empty inner loop") def test_size_zero_matrix(self): """Test matrix input of size zero""" a = np.zeros(0) b = np.zeros(2) c = np.full((0, 2), np.nan) res = gulinalg.update_rank1(a, b, c) ref = np.dot(np.zeros((0, 0)), np.zeros((0, 2))) + c assert_allclose(res, ref) def test_size_one_vector(self): """Test vector inputs of size one""" a = np.random.randn(1) b = np.random.randn(1) c = np.ascontiguousarray(np.random.randn(1, 1)) res = gulinalg.update_rank1(a, b, c) ref = np.dot(a.reshape(1, 1), b.reshape(1, 1)) + c assert_allclose(res, ref) class TestUpdateRank1WithCopy(TestCase): """ Test the cases where there is at least one operand/output that requires copy/rearranging. """ def test_input_non_contiguous_vectors(self): """Not contiguous vector inputs""" a = np.ascontiguousarray(np.random.randn(M, N, 2))[:, 0, 0] b = np.ascontiguousarray(np.random.randn(M, N, 2))[0, :, 0] c = np.ascontiguousarray(np.random.randn(M, N)) assert not a.flags.c_contiguous and not a.flags.f_contiguous assert not b.flags.c_contiguous and not b.flags.f_contiguous for workers in [1, -1]: res = gulinalg.update_rank1(a, b, c, workers=workers) ref = np.dot(a.reshape(M, 1), b.reshape(1, N)) + c assert_allclose(res, ref) def test_input_non_contiguous_matrix(self): """Non contiguous matrix input""" a = np.random.randn(M) b = np.random.randn(N) c = np.ascontiguousarray(np.random.randn(M, N, 2))[:, :, 0] assert not c.flags.c_contiguous and not c.flags.f_contiguous res = gulinalg.update_rank1(a, b, c) ref = np.dot(a.reshape(M, 1), b.reshape(1, N)) + c assert_allclose(res, ref) def test_output_non_contiguous(self): """Output not contiguous""" a = np.random.randn(M) b = np.random.randn(N) c = np.ascontiguousarray(np.random.randn(M, N)) res = np.zeros((M, N, 2), order='C')[:, :, 0] gulinalg.update_rank1(a, b, c, out=res) ref = np.dot(a.reshape(M, 1), b.reshape(1, N)) + c assert_allclose(res, ref) def test_stride_tricks(self): """test that matrices that are contiguous but have their dimension overlapped *copy*, as BLAS does not support them""" a = np.random.randn(M) b = np.random.randn(N) c = np.ascontiguousarray(np.random.randn(M + N)) c = np.lib.stride_tricks.as_strided(a, shape=(M, N), strides=(c.itemsize, c.itemsize)) res = gulinalg.update_rank1(a, b, c) ref = np.dot(a.reshape(M, 1), b.reshape(1, N)) + c assert_allclose(res, ref) class TestUpdateRank1Vector(TestCase): """Tests showing that the gufunc stuff works""" def test_vector(self): """test vectorized rank1 update""" a = np.ascontiguousarray(np.random.randn(10, M)) b = np.ascontiguousarray(np.random.randn(10, N)) c = np.ascontiguousarray(np.random.randn(10, M, N)) for workers in [1, -1]: res = gulinalg.update_rank1(a, b, c, workers=workers) assert res.shape == (10, M, N) ref = np.stack([np.dot(a[i].reshape(M, 1), b[i].reshape(1, N)) + c[i] for i in range(len(c))]) assert_allclose(res, ref) def test_broadcast(self): """test broadcast rank1 update""" a = np.ascontiguousarray(np.random.randn(10, M)) b = np.ascontiguousarray(np.random.randn(10, N)) c = np.ascontiguousarray(np.random.randn(M, N)) for workers in [1, -1]: res = gulinalg.update_rank1(a, b, c, workers=workers) assert res.shape == (10, M, N) ref = np.stack([np.dot(a[i].reshape(M, 1), b[i].reshape(1, N)) + c for i in range(len(b))]) assert_allclose(res, ref) def test_nan_handling(self): """NaN in one output shouldn't contaminate remaining outputs""" a = np.array([[1, 2], [1, np.nan]]) b = np.array([3, 4]) c = np.array([[1, 2], [3, 4]]) ref = np.array([[[4, 6], [9, 12]], [[4, 6], [np.nan, np.nan]]]) res = gulinalg.update_rank1(a, b, c) assert_allclose(res, ref) def test_infinity_handling(self): """Infinity in one output shouldn't contaminate remaining outputs""" a = np.array([[1, 2], [1, np.inf]]) b = np.array([3, 4]) c = np.array([[1, 2], [3, 4]]) ref = np.array([[[4, 6], [9, 12]], [[4, 6], [np.inf, np.inf]]]) res = gulinalg.update_rank1(a, b, c) assert_allclose(res, ref) @skipIf(parse_version(np.__version__) < parse_version('1.13'), "Prior to 1.13, numpy low level iterators didn't support removing " "empty axis. So gufunc couldn't be called with empty inner loop") def test_size_zero_vector(self): """Test broadcasting for matrix input of size zero""" a = np.ascontiguousarray(np.random.randn(10, 1)) b = np.ascontiguousarray(np.random.randn(10, 0)) c = np.ascontiguousarray(np.random.randn(10, 1, 0)) res = gulinalg.update_rank1(a, b, c) assert res.shape == (10, 1, 0) ref = np.stack([np.dot(np.zeros((1, 0)), np.zeros((0, 0))) + c[i] for i in range(len(c))]) assert_allclose(res, ref) @skipIf(parse_version(np.__version__) < parse_version('1.13'), "Prior to 1.13, numpy low level iterators didn't support removing " "empty axis. So gufunc couldn't be called with empty inner loop") def test_size_zero_matrix(self): """Test broadcasting for matrix input of size zero""" a = np.ascontiguousarray(np.random.randn(10, 0)) b = np.ascontiguousarray(np.random.randn(10, 2)) c = np.ascontiguousarray(np.random.randn(10, 0, 2)) res = gulinalg.update_rank1(a, b, c) assert res.shape == (10, 0, 2) ref = np.stack([np.dot(np.zeros((0, 0)), np.zeros((0, 2))) + c[i] for i in range(len(c))]) assert_allclose(res, ref) def test_size_one_vector(self): """Test broadcasting for vector inputs of size one""" a = np.ascontiguousarray(np.random.randn(10, 1)) b = np.ascontiguousarray(np.random.randn(10, 1)) c = np.ascontiguousarray(np.random.randn(10, 1, 1)) res = gulinalg.update_rank1(a, b, c) assert res.shape == (10, 1, 1) ref = np.stack([np.dot(a[i].reshape(1, 1), b[i].reshape(1, 1)) + c[i] for i in range(len(c))]) assert_allclose(res, ref) class TestSyrk(TestCase): def test_syrk_zeros_c(self): gufunc = partial(gulinalg.update_rankk, sym_out=False) for a_trans in [True, False]: for dtype in [np.float32, np.float64]: a = np.array([[1., 0.], [0., -2.], [2., 3.]], dtype=dtype) if a_trans: a = a.T c = np.zeros((a.shape[0],)*2, dtype=dtype) expected = np.dot(a, a.T) + c # test upper triangular case r = gufunc(a, c, transpose_type='N', UPLO='U') assert_allclose(np.triu(expected), r) assert_(r.dtype == a.dtype) # test lower triangular case r = gufunc(a, c, transpose_type='N', UPLO='L') assert_allclose(np.tril(expected), r) assert_(r.dtype == a.dtype) # test upper triangular case with transpose_type='T' r = gufunc(a.T, c, transpose_type='T', UPLO='U') assert_allclose(np.triu(expected), r) assert_(r.dtype == a.dtype) # test lower triangular case with transpose_type='T' r = gufunc(a.T, c, transpose_type='T', UPLO='L') assert_allclose(np.tril(expected), r) assert_(r.dtype == a.dtype) def test_syrk_ones_c(self): gufunc = partial(gulinalg.update_rankk, sym_out=False) for a_trans in [True, False]: for dtype in [np.float32, np.float64]: a = np.array([[1., 0.], [0., -2.], [2., 3.]], dtype=dtype) if a_trans: a = a.T c = np.ones((a.shape[0],)*2, dtype=dtype) tmp = np.dot(a, a.T) + c mask_upper = np.triu(c) > 0 mask_lower = np.tril(c) > 0 expected_lower = tmp.copy() expected_lower[~mask_lower] = c[~mask_lower] expected_upper = tmp.copy() expected_upper[~mask_upper] = c[~mask_upper] # test upper triangular case r = gufunc(a, c, transpose_type='N', UPLO='U') assert_allclose(expected_upper, r) assert_(r.dtype == a.dtype) # test lower triangular case r = gufunc(a, c, transpose_type='N', UPLO='L') assert_allclose(expected_lower, r) assert_(r.dtype == a.dtype) # test upper triangular case, with transpose_type='T' r = gufunc(a.T, c, transpose_type='T', UPLO='U') assert_allclose(expected_upper, r) assert_(r.dtype == a.dtype) # test lower triangular case, with transpose_type='T' r = gufunc(a.T, c, transpose_type='T', UPLO='L') assert_allclose(expected_lower, r) assert_(r.dtype == a.dtype) def test_syrk_broadcasted(self): for sym_out, workers in product([False, True], [1, -1]): gufunc = partial(gulinalg.update_rankk, sym_out=sym_out, workers=workers) for a_trans in [True, False]: for dtype in [np.float32, np.float64]: a = np.array([[1., 0.], [0., -2.], [2., 3.]], dtype=dtype) if a_trans: a = a.T c = np.zeros((a.shape[0],)*2, dtype=dtype) expected = np.dot(a, a.swapaxes(-1, -2)) + c a = np.stack((a, ) * n_batch, axis=0) # stack # test upper triangular case r = gufunc(a, c, transpose_type='N', UPLO='U') for i in range(n_batch): if sym_out: assert_allclose(expected, r[i]) else: assert_allclose(np.triu(expected), r[i]) assert_(r.dtype == a.dtype) # test upper triangular case with extra c dimensions c_4d = c[np.newaxis, np.newaxis, ...] r = gufunc(a, c_4d, transpose_type='N', UPLO='U') for i in range(n_batch): if sym_out: assert_allclose(expected, r[0][i]) else: assert_allclose(np.triu(expected), r[0][i]) assert_(r.dtype == a.dtype) # test lower triangular case r = gufunc(a, c, transpose_type='N', UPLO='L') for i in range(n_batch): if sym_out: assert_allclose(expected, r[i]) else: assert_allclose(np.tril(expected), r[i]) assert_(r.dtype == a.dtype) # test upper triangular case with transpose_type='T' r = gufunc(a.swapaxes(-1, -2), c, transpose_type='T', UPLO='U') for i in range(n_batch): if sym_out: assert_allclose(expected, r[i]) else: assert_allclose(np.triu(expected), r[i]) assert_(r.dtype == a.dtype) # test lower triangular case r = gufunc(a, c, transpose_type='N', UPLO='L') for i in range(n_batch): if sym_out: assert_allclose(expected, r[i]) else: assert_allclose(np.tril(expected), r[i]) assert_(r.dtype == a.dtype) # test upper triangular case with transpose_type='T' r = gufunc(a.swapaxes(-1, -2), c, transpose_type='T', UPLO='U') for i in range(n_batch): if sym_out: assert_allclose(expected, r[i]) else: assert_allclose(np.triu(expected), r[i]) assert_(r.dtype == a.dtype) # test lower triangular case with transpose_type='T' r = gufunc(a.swapaxes(-1, -2), c, transpose_type='T', UPLO='L') for i in range(n_batch): if sym_out: assert_allclose(expected, r[i]) else: assert_allclose(np.tril(expected), r[i]) assert_(r.dtype == a.dtype) def test_syrk_no_c_broadcasted(self): for sym_out, workers in product([False, True], [1, -1]): gufunc = partial(gulinalg.update_rankk, sym_out=sym_out, workers=workers) for a_trans in [True, False]: for dtype in [np.float32, np.float64]: a = np.array([[1., 0.], [0., -2.], [2., 3.]], dtype=dtype) if a_trans: a = a.T c = np.zeros((a.shape[0],)*2, dtype=dtype) expected = np.dot(a, a.swapaxes(-1, -2)) + c a = np.stack((a, ) * n_batch, axis=0) # stack # test upper triangular case r = gufunc(a, transpose_type='N', UPLO='U') for i in range(n_batch): if sym_out: assert_allclose(expected, r[i]) else: assert_allclose(np.triu(expected), r[i]) assert_(r.dtype == a.dtype) # test lower triangular case r = gufunc(a, transpose_type='N', UPLO='L') for i in range(n_batch): if sym_out: assert_allclose(expected, r[i]) else: assert_allclose(np.tril(expected), r[i]) assert_(r.dtype == a.dtype) # test upper triangular case with transpose_type='T' r = gufunc(a.swapaxes(-1, -2), transpose_type='T', UPLO='U') for i in range(n_batch): if sym_out: assert_allclose(expected, r[i]) else: assert_allclose(np.triu(expected), r[i]) assert_(r.dtype == a.dtype) # test lower triangular case r = gufunc(a, transpose_type='N', UPLO='L') for i in range(n_batch): if sym_out: assert_allclose(expected, r[i]) else: assert_allclose(np.tril(expected), r[i]) assert_(r.dtype == a.dtype) def test_syrk_wrong_shape(self): for a_trans in [True, False]: for dtype in [np.float32, np.float64]: a = np.array([[1., 0.], [0., -2.], [2., 3.]], dtype=dtype) if a_trans: a = a.T # use wrong axis size for c when transpose_type='N' c = np.zeros((a.shape[-1],)*2, dtype=dtype) with assert_raises(ValueError): gulinalg.update_rankk(a, c, transpose_type='N') # use wrong axis size for c when transpose_type='T' c = np.zeros((a.shape[0],)*2, dtype=dtype) with assert_raises(ValueError): gulinalg.update_rankk(a, c, transpose_type='T') def test_syrk_wrong_dtype(self): for dtype in [np.complex64, np.complex128]: a = np.ones((3, 3), dtype=dtype) c = np.zeros_like(a) with assert_raises(NotImplementedError): gulinalg.update_rankk(a, c) def test_syrk_invalid_uplo(self): a = np.ones((3, 3), dtype=np.float64) c = np.zeros_like(a) with assert_raises(ValueError): gulinalg.update_rankk(a, c, UPLO='X') def test_syrk_invalid_transpose_type(self): a = np.ones((3, 3), dtype=np.float64) c = np.zeros_like(a) with assert_raises(ValueError): gulinalg.update_rankk(a, c, transpose_type='X') def test_syrk_invalid_workers(self): a = np.ones((3, 3), dtype=np.float64) with assert_raises(ValueError): gulinalg.update_rankk(a, workers=0) class TestQuadraticForm(TestCase): """Tests for Quadratic Form u * Q * v""" def test_quadratic_c(self): """test vectorized matrix multiply""" u = np.random.randn(M) q = np.random.randn(M, N) v = np.random.randn(N) res = gulinalg.quadratic_form(u, q, v) ref = np.dot(u[np.newaxis, :], np.dot(q, v[:, np.newaxis])) assert_allclose(res, ref) def test_quadratic_broadcast_u(self): """test vectorized matrix multiply""" u = np.random.randn(n_batch, M) q = np.random.randn(M, N) v = np.random.randn(N) for workers in [1, -1]: res = gulinalg.quadratic_form(u, q, v, workers=workers) ref = [np.squeeze(np.dot(u[i:i+1, :], np.dot(q, v[:, np.newaxis]))) for i in range(n_batch)] assert_allclose(res, ref) def test_quadratic_broadcast_uv(self): """test vectorized matrix multiply""" u = np.random.randn(n_batch, M) q = np.random.randn(M, N) v = np.random.randn(n_batch, N) for workers in [1, -1]: res = gulinalg.quadratic_form(u, q, v, workers=workers) ref = [np.squeeze(np.dot(u[i:i+1, :], np.dot(q, v[i, :, np.newaxis]))) for i in range(n_batch)] assert_allclose(res, ref) def test_quadratic_broadcast_uqv(self): """test vectorized matrix multiply""" u = np.random.randn(n_batch, M) q = np.random.randn(n_batch, M, N) v = np.random.randn(n_batch, N) for workers in [1, -1]: res = gulinalg.quadratic_form(u, q, v, workers=workers) ref = [np.squeeze(np.dot(u[i:i+1, :], np.dot(q[i, ...], v[i, :, np.newaxis]))) for i in range(n_batch)] assert_allclose(res, ref) def test_quadratic_broadcast_uqv_contiguity(self): """test vectorized matrix multiply""" u = np.asfortranarray(np.random.randn(n_batch, M)) q = np.random.randn(n_batch, M, N, 2)[..., 0] # non-contiguous v = np.random.randn(n_batch, N) for workers in [1, -1]: res = gulinalg.quadratic_form(u, q, v, workers=workers) ref = [np.squeeze(np.dot(u[i:i+1, :], np.dot(q[i, ...], v[i, :, np.newaxis]))) for i in range(n_batch)] assert_allclose(res, ref) if __name__ == '__main__': run_module_suite()

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Python

tests/test_failure_reasons.py

dargor/stories

550a36506c5ec0a4603c0f14a3c5fe52132ef6bf

[ "BSD-2-Clause" ]

null

tests/test_failure_reasons.py

dargor/stories

550a36506c5ec0a4603c0f14a3c5fe52132ef6bf

[ "BSD-2-Clause" ]

null

tests/test_failure_reasons.py

dargor/stories

550a36506c5ec0a4603c0f14a3c5fe52132ef6bf

[ "BSD-2-Clause" ]

null

import enum import pytest from stories import story from stories.exceptions import FailureError, FailureProtocolError # Story definition. def test_wrong_definition(): """We check types used in failures definition.""" class T(object): @story def x(I): I.one expected = "Unexpected type for story failure protocol: 'boom'" with pytest.raises(FailureProtocolError) as exc_info: T.x.failures("boom") assert str(exc_info.value) == expected expected = "Unexpected type for story failure protocol: ['foo', 'bar', None]" with pytest.raises(FailureProtocolError) as exc_info: T.x.failures(["foo", "bar", None]) assert str(exc_info.value) == expected # Arguments of the Failure class. def test_reasons_defined_with_list(f): """We can use list of strings to define story failure protocol.""" class T(f.ChildWithList, f.StringMethod): pass class Q(f.ParentWithList, f.NormalParentMethod, T): pass class J(f.ParentWithList, f.NormalParentMethod): def __init__(self): self.x = T().x # Simple. assert T().x.failures == ["foo", "bar", "baz"] with pytest.raises(FailureError) as exc_info: T().x() assert repr(exc_info.value) == "FailureError('foo')" result = T().x.run() assert not result.is_success assert result.is_failure assert result.failed_because("foo") # Substory inheritance. assert Q().a.failures == ["foo", "bar", "baz"] with pytest.raises(FailureError) as exc_info: Q().a() assert repr(exc_info.value) == "FailureError('foo')" result = Q().a.run() assert not result.is_success assert result.is_failure assert result.failed_because("foo") # Substory DI. assert J().a.failures == ["foo", "bar", "baz"] with pytest.raises(FailureError) as exc_info: J().a() assert repr(exc_info.value) == "FailureError('foo')" result = J().a.run() assert not result.is_success assert result.is_failure assert result.failed_because("foo") def test_reasons_defined_with_enum(f): """We can use enum class to define story failure protocol.""" class T(f.ChildWithEnum, f.EnumMethod): pass class Q(f.ParentWithEnum, f.NormalParentMethod, T): pass class J(f.ParentWithEnum, f.NormalParentMethod): def __init__(self): self.x = T().x # Simple. assert isinstance(T().x.failures, enum.EnumMeta) assert set(T().x.failures.__members__.keys()) == {"foo", "bar", "baz"} with pytest.raises(FailureError) as exc_info: T().x() assert repr(exc_info.value) == "FailureError(<Errors.foo: 1>)" result = T().x.run() assert not result.is_success assert result.is_failure assert result.failed_because(T().x.failures.foo) # Substory inheritance. assert isinstance(Q().a.failures, enum.EnumMeta) assert set(Q().a.failures.__members__.keys()) == {"foo", "bar", "baz"} with pytest.raises(FailureError) as exc_info: Q().a() assert repr(exc_info.value) == "FailureError(<Errors.foo: 1>)" result = Q().a.run() assert not result.is_success assert result.is_failure assert result.failed_because(Q().a.failures.foo) # Substory DI. assert isinstance(J().a.failures, enum.EnumMeta) assert set(J().a.failures.__members__.keys()) == {"foo", "bar", "baz"} with pytest.raises(FailureError) as exc_info: J().a() assert repr(exc_info.value) == "FailureError(<Errors.foo: 1>)" result = J().a.run() assert not result.is_success assert result.is_failure assert result.failed_because(J().a.failures.foo) def test_wrong_reason_with_list(f): """ We deny to use wrong reason in stories defined with list of strings as its failure protocol. """ class T(f.ChildWithList, f.WrongMethod): pass class Q(f.ParentWithList, f.NormalParentMethod, T): pass class J(f.ParentWithList, f.NormalParentMethod): def __init__(self): self.x = T().x # Simple. expected = """ Failure("'foo' is too big") failure reason is not allowed by current protocol. Available failures are: 'foo', 'bar', 'baz' Function returned value: T.one """.strip() assert T().x.failures == ["foo", "bar", "baz"] with pytest.raises(FailureProtocolError) as exc_info: T().x() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: T().x.run() assert str(exc_info.value) == expected # Substory inheritance. expected = """ Failure("'foo' is too big") failure reason is not allowed by current protocol. Available failures are: 'foo', 'bar', 'baz' Function returned value: Q.one """.strip() assert Q().a.failures == ["foo", "bar", "baz"] with pytest.raises(FailureProtocolError) as exc_info: Q().a() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: Q().a.run() assert str(exc_info.value) == expected # Substory DI. expected = """ Failure("'foo' is too big") failure reason is not allowed by current protocol. Available failures are: 'foo', 'bar', 'baz' Function returned value: T.one """.strip() assert J().a.failures == ["foo", "bar", "baz"] with pytest.raises(FailureProtocolError) as exc_info: J().a() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: J().a.run() assert str(exc_info.value) == expected def test_wrong_reason_with_enum(f): """ We deny to use wrong reason in stories defined with enum class as its failure protocol. """ class T(f.ChildWithEnum, f.WrongMethod): pass class Q(f.ParentWithEnum, f.NormalParentMethod, T): pass class J(f.ParentWithEnum, f.NormalParentMethod): def __init__(self): self.x = T().x # Simple. expected = """ Failure("'foo' is too big") failure reason is not allowed by current protocol. Available failures are: <Errors.foo: 1>, <Errors.bar: 2>, <Errors.baz: 3> Function returned value: T.one """.strip() assert isinstance(T().x.failures, enum.EnumMeta) assert set(T().x.failures.__members__.keys()) == {"foo", "bar", "baz"} with pytest.raises(FailureProtocolError) as exc_info: T().x() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: T().x.run() assert str(exc_info.value) == expected # Substory inheritance. expected = """ Failure("'foo' is too big") failure reason is not allowed by current protocol. Available failures are: <Errors.foo: 1>, <Errors.bar: 2>, <Errors.baz: 3> Function returned value: Q.one """.strip() assert isinstance(Q().a.failures, enum.EnumMeta) assert set(Q().a.failures.__members__.keys()) == {"foo", "bar", "baz"} with pytest.raises(FailureProtocolError) as exc_info: Q().a() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: Q().a.run() assert str(exc_info.value) == expected # Substory DI. expected = """ Failure("'foo' is too big") failure reason is not allowed by current protocol. Available failures are: <Errors.foo: 1>, <Errors.bar: 2>, <Errors.baz: 3> Function returned value: T.one """.strip() assert isinstance(J().a.failures, enum.EnumMeta) assert set(J().a.failures.__members__.keys()) == {"foo", "bar", "baz"} with pytest.raises(FailureProtocolError) as exc_info: J().a() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: J().a.run() assert str(exc_info.value) == expected def test_null_reason_with_list(f): """ We deny to use Failure() in stories defined with list of strings as its failure protocol. """ class T(f.ChildWithList, f.NullMethod): pass class Q(f.ParentWithList, f.NormalParentMethod, T): pass class J(f.ParentWithList, f.NormalParentMethod): def __init__(self): self.x = T().x # Simple. expected = """ Failure() can not be used in a story with failure protocol. Available failures are: 'foo', 'bar', 'baz' Function returned value: T.one Use one of them as Failure() argument. """.strip() assert T().x.failures == ["foo", "bar", "baz"] with pytest.raises(FailureProtocolError) as exc_info: T().x() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: T().x.run() assert str(exc_info.value) == expected # Substory inheritance. expected = """ Failure() can not be used in a story with failure protocol. Available failures are: 'foo', 'bar', 'baz' Function returned value: Q.one Use one of them as Failure() argument. """.strip() assert Q().a.failures == ["foo", "bar", "baz"] with pytest.raises(FailureProtocolError) as exc_info: Q().a() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: Q().a.run() assert str(exc_info.value) == expected # Substory DI. expected = """ Failure() can not be used in a story with failure protocol. Available failures are: 'foo', 'bar', 'baz' Function returned value: T.one Use one of them as Failure() argument. """.strip() assert J().a.failures == ["foo", "bar", "baz"] with pytest.raises(FailureProtocolError) as exc_info: J().a() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: J().a.run() assert str(exc_info.value) == expected def test_null_reason_with_enum(f): """ We deny to use Failure() in stories defined with enum class as its failure protocol. """ class T(f.ChildWithEnum, f.NullMethod): pass class Q(f.ParentWithEnum, f.NormalParentMethod, T): pass class J(f.ParentWithEnum, f.NormalParentMethod): def __init__(self): self.x = T().x # Simple. expected = """ Failure() can not be used in a story with failure protocol. Available failures are: <Errors.foo: 1>, <Errors.bar: 2>, <Errors.baz: 3> Function returned value: T.one Use one of them as Failure() argument. """.strip() assert isinstance(T().x.failures, enum.EnumMeta) assert set(T().x.failures.__members__.keys()) == {"foo", "bar", "baz"} with pytest.raises(FailureProtocolError) as exc_info: T().x() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: T().x.run() assert str(exc_info.value) == expected # Substory inheritance. expected = """ Failure() can not be used in a story with failure protocol. Available failures are: <Errors.foo: 1>, <Errors.bar: 2>, <Errors.baz: 3> Function returned value: Q.one Use one of them as Failure() argument. """.strip() assert isinstance(Q().a.failures, enum.EnumMeta) assert set(Q().a.failures.__members__.keys()) == {"foo", "bar", "baz"} with pytest.raises(FailureProtocolError) as exc_info: Q().a() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: Q().a.run() assert str(exc_info.value) == expected # Substory DI. expected = """ Failure() can not be used in a story with failure protocol. Available failures are: <Errors.foo: 1>, <Errors.bar: 2>, <Errors.baz: 3> Function returned value: T.one Use one of them as Failure() argument. """.strip() assert isinstance(J().a.failures, enum.EnumMeta) assert set(J().a.failures.__members__.keys()) == {"foo", "bar", "baz"} with pytest.raises(FailureProtocolError) as exc_info: J().a() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: J().a.run() assert str(exc_info.value) == expected def test_reason_without_protocol(f): """ We deny to use Failure('reason') in stories defined without failure protocol. """ class T(f.ChildWithNull, f.WrongMethod): pass class Q(f.ParentWithNull, f.NormalParentMethod, T): pass class J(f.ParentWithNull, f.NormalParentMethod): def __init__(self): self.x = T().x # Simple. expected = """ Failure("'foo' is too big") can not be used in a story without failure protocol. Function returned value: T.one Use 'failures' story method to define failure protocol. """.strip() assert T().x.failures is None with pytest.raises(FailureProtocolError) as exc_info: T().x() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: T().x.run() assert str(exc_info.value) == expected # Substory inheritance. expected = """ Failure("'foo' is too big") can not be used in a story without failure protocol. Function returned value: Q.one Use 'failures' story method to define failure protocol. """.strip() assert Q().a.failures is None with pytest.raises(FailureProtocolError) as exc_info: Q().a() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: Q().a.run() assert str(exc_info.value) == expected # Substory DI. expected = """ Failure("'foo' is too big") can not be used in a story without failure protocol. Function returned value: T.one Use 'failures' story method to define failure protocol. """.strip() assert J().a.failures is None with pytest.raises(FailureProtocolError) as exc_info: J().a() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: J().a.run() assert str(exc_info.value) == expected # Arguments of the result class methods. @pytest.mark.parametrize("method", ["NormalMethod", "StringMethod"]) def test_summary_wrong_reason_with_list(f, method): """ Summary classes should verify failure reason passed to the `failed_because` method. """ class T(f.ChildWithList, getattr(f, method)): pass class Q(f.ParentWithList, f.NormalParentMethod, T): pass class J(f.ParentWithList, f.NormalParentMethod): def __init__(self): self.x = T().x # Simple. expected = """ 'failed_because' method got argument mismatching failure protocol: "'foo' is too big" Available failures are: 'foo', 'bar', 'baz' Story returned result: T.x """.strip() assert T().x.failures == ["foo", "bar", "baz"] result = T().x.run() with pytest.raises(FailureProtocolError) as exc_info: result.failed_because("'foo' is too big") assert str(exc_info.value) == expected # Substory inheritance. expected = """ 'failed_because' method got argument mismatching failure protocol: "'foo' is too big" Available failures are: 'foo', 'bar', 'baz' Story returned result: Q.a """.strip() assert Q().a.failures == ["foo", "bar", "baz"] result = Q().a.run() with pytest.raises(FailureProtocolError) as exc_info: result.failed_because("'foo' is too big") assert str(exc_info.value) == expected # Substory DI. expected = """ 'failed_because' method got argument mismatching failure protocol: "'foo' is too big" Available failures are: 'foo', 'bar', 'baz' Story returned result: J.a """.strip() assert J().a.failures == ["foo", "bar", "baz"] result = J().a.run() with pytest.raises(FailureProtocolError) as exc_info: result.failed_because("'foo' is too big") assert str(exc_info.value) == expected @pytest.mark.parametrize("method", ["NormalMethod", "EnumMethod"]) def test_summary_wrong_reason_with_enum(f, method): """ Summary classes should verify failure reason passed to the `failed_because` method. """ class T(f.ChildWithEnum, getattr(f, method)): pass class Q(f.ParentWithEnum, f.NormalParentMethod, T): pass class J(f.ParentWithEnum, f.NormalParentMethod): def __init__(self): self.x = T().x # Simple. expected = """ 'failed_because' method got argument mismatching failure protocol: "'foo' is too big" Available failures are: <Errors.foo: 1>, <Errors.bar: 2>, <Errors.baz: 3> Story returned result: T.x """.strip() assert isinstance(T().x.failures, enum.EnumMeta) assert set(T().x.failures.__members__.keys()) == {"foo", "bar", "baz"} result = T().x.run() with pytest.raises(FailureProtocolError) as exc_info: result.failed_because("'foo' is too big") assert str(exc_info.value) == expected # Substory inheritance. expected = """ 'failed_because' method got argument mismatching failure protocol: "'foo' is too big" Available failures are: <Errors.foo: 1>, <Errors.bar: 2>, <Errors.baz: 3> Story returned result: Q.a """.strip() assert isinstance(Q().a.failures, enum.EnumMeta) assert set(Q().a.failures.__members__.keys()) == {"foo", "bar", "baz"} result = Q().a.run() with pytest.raises(FailureProtocolError) as exc_info: result.failed_because("'foo' is too big") assert str(exc_info.value) == expected # Substory DI. expected = """ 'failed_because' method got argument mismatching failure protocol: "'foo' is too big" Available failures are: <Errors.foo: 1>, <Errors.bar: 2>, <Errors.baz: 3> Story returned result: J.a """.strip() assert isinstance(J().a.failures, enum.EnumMeta) assert set(J().a.failures.__members__.keys()) == {"foo", "bar", "baz"} result = J().a.run() with pytest.raises(FailureProtocolError) as exc_info: result.failed_because("'foo' is too big") assert str(exc_info.value) == expected @pytest.mark.parametrize("method", ["NormalMethod", "NullMethod"]) def test_summary_reason_without_protocol(f, method): """ Summary classes should deny to use `failed_because` method on stories defined without failure protocol. """ class T(f.ChildWithNull, getattr(f, method)): pass class Q(f.ParentWithNull, f.NormalParentMethod, T): pass class J(f.ParentWithNull, f.NormalParentMethod): def __init__(self): self.x = T().x # Simple. expected = """ 'failed_because' method can not be used with story defined without failure protocol. Story returned result: T.x Use 'failures' story method to define failure protocol. """.strip() assert T().x.failures is None result = T().x.run() with pytest.raises(FailureProtocolError) as exc_info: result.failed_because("'foo' is too big") assert str(exc_info.value) == expected # Substory inheritance. expected = """ 'failed_because' method can not be used with story defined without failure protocol. Story returned result: Q.a Use 'failures' story method to define failure protocol. """.strip() assert Q().a.failures is None result = Q().a.run() with pytest.raises(FailureProtocolError) as exc_info: result.failed_because("'foo' is too big") assert str(exc_info.value) == expected # Substory DI. expected = """ 'failed_because' method can not be used with story defined without failure protocol. Story returned result: J.a Use 'failures' story method to define failure protocol. """.strip() assert J().a.failures is None result = J().a.run() with pytest.raises(FailureProtocolError) as exc_info: result.failed_because("'foo' is too big") assert str(exc_info.value) == expected def test_use_expanded_protocol_in_summary_result_with_list(f): """ We should allow to use `failed_because` method with expanded protocol. """ class T(f.ChildWithList, f.NormalMethod): pass class Q(f.ShrinkParentWithList, f.NormalParentMethod, T): pass class J(f.ShrinkParentWithList, f.NormalParentMethod): def __init__(self): self.x = T().x # Substory inheritance. result = Q().a.run() assert result.is_success assert not result.is_failure assert not result.failed_because("foo") assert not result.failed_because("bar") assert not result.failed_because("baz") assert not result.failed_because("quiz") # Substory DI. result = J().a.run() assert result.is_success assert not result.is_failure assert not result.failed_because("foo") assert not result.failed_because("bar") assert not result.failed_because("baz") assert not result.failed_because("quiz") def test_use_expanded_protocol_in_summary_result_with_enum(f): """ We should allow to use `failed_because` method with expanded protocol. """ class T(f.ChildWithEnum, f.NormalMethod): pass class Q(f.ShrinkParentWithEnum, f.NormalParentMethod, T): pass class J(f.ShrinkParentWithEnum, f.NormalParentMethod): def __init__(self): self.x = T().x # Substory inheritance. result = Q().a.run() assert result.is_success assert not result.is_failure assert not result.failed_because(Q().a.failures.foo) assert not result.failed_because(Q().a.failures.bar) assert not result.failed_because(Q().a.failures.baz) assert not result.failed_because(Q().a.failures.quiz) # Substory DI. result = J().a.run() assert result.is_success assert not result.is_failure assert not result.failed_because(J().a.failures.foo) assert not result.failed_because(J().a.failures.bar) assert not result.failed_because(J().a.failures.baz) assert not result.failed_because(J().a.failures.quiz) # Composition of the stories. def test_substory_protocol_match_with_empty(f): """ We should allow to use stories composition, if parent story and substory does not define failure protocols. """ class T(f.ChildWithNull, f.NullMethod): pass class Q(f.ParentWithNull, f.NormalParentMethod, T): pass class J(f.ParentWithNull, f.NormalParentMethod): def __init__(self): self.x = T().x # Substory inheritance. Q().a.failures is None with pytest.raises(FailureError) as exc_info: Q().a() assert repr(exc_info.value) == "FailureError()" result = Q().a.run() assert result.is_failure # Substory DI. J().a.failures is None with pytest.raises(FailureError) as exc_info: J().a() assert repr(exc_info.value) == "FailureError()" result = J().a.run() assert result.is_failure def test_substory_protocol_match_with_list(f): """ We should allow to use stories composition, if parent story protocol is a superset of the substory protocol. """ class T(f.ChildWithList, f.StringMethod): pass class Q(f.WideParentWithList, f.NormalParentMethod, T): pass class J(f.WideParentWithList, f.NormalParentMethod): def __init__(self): self.x = T().x # Substory inheritance. assert Q().a.failures == ["foo", "bar", "baz", "quiz"] with pytest.raises(FailureError) as exc_info: Q().a() assert repr(exc_info.value) == "FailureError('foo')" result = Q().a.run() assert result.failed_because("foo") # Substory DI. assert J().a.failures == ["foo", "bar", "baz", "quiz"] with pytest.raises(FailureError) as exc_info: J().a() assert repr(exc_info.value) == "FailureError('foo')" result = J().a.run() assert result.failed_because("foo") def test_substory_protocol_match_with_enum(f): """ We should allow to use stories composition, if parent story protocol is a superset of the substory protocol. """ class T(f.ChildWithEnum, f.EnumMethod): pass class Q(f.WideParentWithEnum, f.NormalParentMethod, T): pass class J(f.WideParentWithEnum, f.NormalParentMethod): def __init__(self): self.x = T().x # Substory inheritance. assert isinstance(Q().a.failures, enum.EnumMeta) assert set(Q().a.failures.__members__.keys()) == {"foo", "bar", "baz", "quiz"} with pytest.raises(FailureError) as exc_info: Q().a() assert repr(exc_info.value) == "FailureError(<Errors.foo: 1>)" result = Q().a.run() assert result.failed_because(Q().a.failures.foo) # Substory DI. assert isinstance(J().a.failures, enum.EnumMeta) assert set(J().a.failures.__members__.keys()) == {"foo", "bar", "baz", "quiz"} with pytest.raises(FailureError) as exc_info: J().a() assert repr(exc_info.value) == "FailureError(<Errors.foo: 1>)" result = J().a.run() assert result.failed_because(J().a.failures.foo) def test_expand_substory_protocol_null_with_list(f): """ We expand protocol of composed story, if substory does not define failure protocols and parent story define protocol with list of strings. """ class T(f.ChildWithNull, f.NormalMethod): pass class Q(f.ParentWithList, f.NormalParentMethod, T): pass class J(f.ParentWithList, f.NormalParentMethod): def __init__(self): self.x = T().x # Substory inheritance. assert Q().a.failures == ["foo", "bar", "baz"] result = Q().a() assert result is None result = Q().a.run() assert result.is_success assert result.value is None # Substory DI. assert J().a.failures == ["foo", "bar", "baz"] result = J().a() assert result is None result = J().a.run() assert result.is_success assert result.value is None def test_expand_substory_protocol_null_with_enum(f): """ We expand protocol of composed story, if substory does not define protocol and parent story define protocol with enum class. """ class T(f.ChildWithNull, f.NormalMethod): pass class Q(f.ParentWithEnum, f.NormalParentMethod, T): pass class J(f.ParentWithEnum, f.NormalParentMethod): def __init__(self): self.x = T().x # Substory inheritance. assert isinstance(Q().a.failures, enum.EnumMeta) assert set(Q().a.failures.__members__.keys()) == {"foo", "bar", "baz"} result = Q().a() assert result is None result = Q().a.run() assert result.is_success assert result.value is None # Substory DI. assert isinstance(J().a.failures, enum.EnumMeta) assert set(J().a.failures.__members__.keys()) == {"foo", "bar", "baz"} result = J().a() assert result is None result = J().a.run() assert result.is_success assert result.value is None def test_deny_failure_substory_without_protocol_story_protocol_with_list(f): """ Substory defined without failure protocol can not return Failure, if this substory was composed with parent story defined with list of strings as failure protocol. """ class T(f.ChildWithNull, f.NullMethod): pass class Q(f.ParentWithList, f.NormalParentMethod, T): pass class J(f.ParentWithList, f.NormalParentMethod): def __init__(self): self.x = T().x # Substory inheritance. expected = """ Failure() can not be used in a story composition. Different types of failure protocol were used in parent and substory definitions. Function returned value: Q.one Use 'failures' story method to define failure protocol. """.strip() assert Q().a.failures == ["foo", "bar", "baz"] with pytest.raises(FailureProtocolError) as exc_info: Q().a() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: Q().a.run() assert str(exc_info.value) == expected # Substory DI. expected = """ Failure() can not be used in a story composition. Different types of failure protocol were used in parent and substory definitions. Function returned value: T.one Use 'failures' story method to define failure protocol. """.strip() assert J().a.failures == ["foo", "bar", "baz"] with pytest.raises(FailureProtocolError) as exc_info: J().a() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: J().a.run() assert str(exc_info.value) == expected def test_deny_failure_substory_without_protocol_story_protocol_with_enum(f): """ Substory defined without failure protocol can not return Failure, if this substory was composed with parent story defined with enum as failure protocol. """ class T(f.ChildWithNull, f.NullMethod): pass class Q(f.ParentWithEnum, f.NormalParentMethod, T): pass class J(f.ParentWithEnum, f.NormalParentMethod): def __init__(self): self.x = T().x # Substory inheritance. expected = """ Failure() can not be used in a story composition. Different types of failure protocol were used in parent and substory definitions. Function returned value: Q.one Use 'failures' story method to define failure protocol. """.strip() assert isinstance(Q().a.failures, enum.EnumMeta) assert set(Q().a.failures.__members__.keys()) == {"foo", "bar", "baz"} with pytest.raises(FailureProtocolError) as exc_info: Q().a() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: Q().a.run() assert str(exc_info.value) == expected # Substory DI. expected = """ Failure() can not be used in a story composition. Different types of failure protocol were used in parent and substory definitions. Function returned value: T.one Use 'failures' story method to define failure protocol. """.strip() assert isinstance(J().a.failures, enum.EnumMeta) assert set(J().a.failures.__members__.keys()) == {"foo", "bar", "baz"} with pytest.raises(FailureProtocolError) as exc_info: J().a() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: J().a.run() assert str(exc_info.value) == expected def test_deny_failure_story_without_protocol_substory_protocol_with_list(f): """ Story defined without failure protocol can not return Failure, if this story was composed with substory defined with list of strings as failure protocol. """ class T(f.ChildWithList, f.NormalMethod): pass class Q(f.ParentWithNull, f.NullParentMethod, T): pass class J(f.ParentWithNull, f.NullParentMethod): def __init__(self): self.x = T().x # Substory inheritance. expected = """ Failure() can not be used in a story composition. Different types of failure protocol were used in parent and substory definitions. Function returned value: Q.before Use 'failures' story method to define failure protocol. """.strip() assert Q().a.failures == ["foo", "bar", "baz"] with pytest.raises(FailureProtocolError) as exc_info: Q().a() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: Q().a.run() assert str(exc_info.value) == expected # Substory DI. expected = """ Failure() can not be used in a story composition. Different types of failure protocol were used in parent and substory definitions. Function returned value: J.before Use 'failures' story method to define failure protocol. """.strip() assert J().a.failures == ["foo", "bar", "baz"] with pytest.raises(FailureProtocolError) as exc_info: J().a() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: J().a.run() assert str(exc_info.value) == expected def test_deny_failure_story_without_protocol_substory_protocol_with_enum(f): """ Story defined without failure protocol can not return Failure, if this story was composed with substory defined with enum as failure protocol. """ class T(f.ChildWithEnum, f.NormalMethod): pass class Q(f.ParentWithNull, f.NullParentMethod, T): pass class J(f.ParentWithNull, f.NullParentMethod): def __init__(self): self.x = T().x # Substory inheritance. expected = """ Failure() can not be used in a story composition. Different types of failure protocol were used in parent and substory definitions. Function returned value: Q.before Use 'failures' story method to define failure protocol. """.strip() assert isinstance(Q().a.failures, enum.EnumMeta) assert set(Q().a.failures.__members__.keys()) == {"foo", "bar", "baz"} with pytest.raises(FailureProtocolError) as exc_info: Q().a() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: Q().a.run() assert str(exc_info.value) == expected # Substory DI. expected = """ Failure() can not be used in a story composition. Different types of failure protocol were used in parent and substory definitions. Function returned value: J.before Use 'failures' story method to define failure protocol. """.strip() assert isinstance(J().a.failures, enum.EnumMeta) assert set(J().a.failures.__members__.keys()) == {"foo", "bar", "baz"} with pytest.raises(FailureProtocolError) as exc_info: J().a() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: J().a.run() assert str(exc_info.value) == expected def test_expand_substory_protocol_list_with_null(f): """ We expand protocol of composed story, if substory define protocol with list of strings and parent story does not define protocol. """ class T(f.ChildWithList, f.NormalMethod): pass class Q(f.ParentWithNull, f.NormalParentMethod, T): pass class J(f.ParentWithNull, f.NormalParentMethod): def __init__(self): self.x = T().x # Substory inheritance. assert Q().a.failures == ["foo", "bar", "baz"] result = Q().a() assert result is None result = Q().a.run() assert result.is_success assert result.value is None # Substory DI. assert J().a.failures == ["foo", "bar", "baz"] result = J().a() assert result is None result = J().a.run() assert result.is_success assert result.value is None def test_expand_substory_protocol_enum_with_null(f): """ We expand protocol of composed story, if substory define protocol with enum class and parent story does not define protocol. """ class T(f.ChildWithEnum, f.NormalMethod): pass class Q(f.ParentWithNull, f.NormalParentMethod, T): pass class J(f.ParentWithNull, f.NormalParentMethod): def __init__(self): self.x = T().x # Substory inheritance. assert isinstance(Q().a.failures, enum.EnumMeta) assert set(Q().a.failures.__members__.keys()) == {"foo", "bar", "baz"} result = Q().a() assert result is None result = Q().a.run() assert result.is_success assert result.value is None # Substory DI. assert isinstance(J().a.failures, enum.EnumMeta) assert set(J().a.failures.__members__.keys()) == {"foo", "bar", "baz"} result = J().a() assert result is None result = J().a.run() assert result.is_success assert result.value is None def test_expand_substory_protocol_list_with_list(f): """ We expand protocol of composed story, if substory and parent story define protocol with list of strings. """ class T(f.ChildWithList, f.StringMethod): pass class Q(f.ShrinkParentWithList, f.NormalParentMethod, T): pass class J(f.ShrinkParentWithList, f.NormalParentMethod): def __init__(self): self.x = T().x # Substory inheritance. assert Q().a.failures == ["foo", "quiz", "bar", "baz"] with pytest.raises(FailureError) as exc_info: Q().a() assert repr(exc_info.value) == "FailureError('foo')" result = Q().a.run() assert result.failed_because("foo") # Substory DI. assert J().a.failures == ["foo", "quiz", "bar", "baz"] with pytest.raises(FailureError) as exc_info: J().a() assert repr(exc_info.value) == "FailureError('foo')" result = J().a.run() assert result.failed_because("foo") def test_expand_substory_protocol_enum_with_enum(f): """ We expand protocol of composed story, if substory and parent story define protocol with enum class. """ class T(f.ChildWithEnum, f.EnumMethod): pass class Q(f.ShrinkParentWithEnum, f.NormalParentMethod, T): pass class J(f.ShrinkParentWithEnum, f.NormalParentMethod): def __init__(self): self.x = T().x # Substory inheritance. assert isinstance(Q().a.failures, enum.EnumMeta) assert set(Q().a.failures.__members__.keys()) == {"foo", "bar", "baz", "quiz"} with pytest.raises(FailureError) as exc_info: Q().a() assert repr(exc_info.value) == "FailureError(<Errors.foo: 1>)" result = Q().a.run() assert result.failed_because(Q().a.failures.foo) # Substory DI. assert isinstance(J().a.failures, enum.EnumMeta) assert set(J().a.failures.__members__.keys()) == {"foo", "bar", "baz", "quiz"} with pytest.raises(FailureError) as exc_info: J().a() assert repr(exc_info.value) == "FailureError(<Errors.foo: 1>)" result = J().a.run() assert result.failed_because(J().a.failures.foo) def test_expand_sequential_substory_protocol_list_with_null(f): """ If parent story consist from sequential substories, we should merge their failure protocols together. """ class T(f.ChildWithList, f.StringMethod): pass class E(f.NextChildWithNull, f.NormalMethod): pass class Q(f.SequenceParentWithNull, f.NormalParentMethod, T, E): pass class J(f.SequenceParentWithNull, f.NormalParentMethod): def __init__(self): self.x = T().x self.y = E().y # Substory inheritance. assert Q().a.failures == ["foo", "bar", "baz"] with pytest.raises(FailureError) as exc_info: Q().a() assert repr(exc_info.value) == "FailureError('foo')" result = Q().a.run() assert result.failed_because("foo") # Substory DI. assert J().a.failures == ["foo", "bar", "baz"] with pytest.raises(FailureError) as exc_info: J().a() assert repr(exc_info.value) == "FailureError('foo')" result = J().a.run() assert result.failed_because("foo") def test_expand_sequential_substory_protocol_enum_with_null(f): """ If parent story consist from sequential substories, we should merge their failure protocols together. """ class T(f.ChildWithEnum, f.EnumMethod): pass class E(f.NextChildWithNull, f.NormalMethod): pass class Q(f.SequenceParentWithNull, f.NormalParentMethod, T, E): pass class J(f.SequenceParentWithNull, f.NormalParentMethod): def __init__(self): self.x = T().x self.y = E().y # Substory inheritance. assert isinstance(Q().a.failures, enum.EnumMeta) assert set(Q().a.failures.__members__.keys()) == {"foo", "bar", "baz"} with pytest.raises(FailureError) as exc_info: Q().a() assert repr(exc_info.value) == "FailureError(<Errors.foo: 1>)" result = Q().a.run() assert result.failed_because(Q().a.failures.foo) # Substory DI. assert isinstance(J().a.failures, enum.EnumMeta) assert set(J().a.failures.__members__.keys()) == {"foo", "bar", "baz"} with pytest.raises(FailureError) as exc_info: J().a() assert repr(exc_info.value) == "FailureError(<Errors.foo: 1>)" result = J().a.run() assert result.failed_because(J().a.failures.foo) def test_expand_sequential_substory_protocol_list_with_list(f): """ If parent story consist from sequential substories, we should merge their failure protocols together. """ class T(f.ChildWithList, f.StringMethod): pass class E(f.NextChildWithList, f.StringMethod): pass class Q(f.SequenceParentWithNull, f.NormalParentMethod, T, E): pass class J(f.SequenceParentWithNull, f.NormalParentMethod): def __init__(self): self.x = T().x self.y = E().y # Substory inheritance. assert Q().a.failures == ["foo", "bar", "baz", "spam", "ham", "eggs"] with pytest.raises(FailureError) as exc_info: Q().a() assert repr(exc_info.value) == "FailureError('foo')" result = Q().a.run() assert result.failed_because("foo") # Substory DI. assert J().a.failures == ["foo", "bar", "baz", "spam", "ham", "eggs"] with pytest.raises(FailureError) as exc_info: J().a() assert repr(exc_info.value) == "FailureError('foo')" result = J().a.run() assert result.failed_because("foo") def test_expand_sequential_substory_protocol_enum_with_enum(f): """ If parent story consist from sequential substories, we should merge their failure protocols together. """ class T(f.ChildWithEnum, f.EnumMethod): pass class E(f.NextChildWithEnum, f.EnumMethod): pass class Q(f.SequenceParentWithNull, f.NormalParentMethod, T, E): pass class J(f.SequenceParentWithNull, f.NormalParentMethod): def __init__(self): self.x = T().x self.y = E().y # Substory inheritance. assert isinstance(Q().a.failures, enum.EnumMeta) assert set(Q().a.failures.__members__.keys()) == { "foo", "bar", "baz", "spam", "ham", "eggs", } with pytest.raises(FailureError) as exc_info: Q().a() assert repr(exc_info.value) == "FailureError(<Errors.foo: 1>)" result = Q().a.run() assert result.failed_because(Q().a.failures.foo) # Substory DI. assert isinstance(J().a.failures, enum.EnumMeta) assert set(J().a.failures.__members__.keys()) == { "foo", "bar", "baz", "spam", "ham", "eggs", } with pytest.raises(FailureError) as exc_info: J().a() assert repr(exc_info.value) == "FailureError(<Errors.foo: 1>)" result = J().a.run() assert result.failed_because(J().a.failures.foo) def test_composition_type_error_list_with_enum(f): """We can't combine different types of stories and substories.""" class T(f.ChildWithList, f.StringMethod): pass class Q(f.ParentWithEnum, f.NormalParentMethod, T): pass class J(f.ParentWithEnum, f.NormalParentMethod): def __init__(self): self.x = T().x # Substory inheritance. expected = """ Story and substory failure protocols has incompatible types: Story method: Q.a Story failure protocol: <Errors.foo: 1>, <Errors.bar: 2>, <Errors.baz: 3> Substory method: Q.x Substory failure protocol: 'foo', 'bar', 'baz' """.strip() with pytest.raises(FailureProtocolError) as exc_info: Q().a assert str(exc_info.value) == expected # Substory DI. expected = """ Story and substory failure protocols has incompatible types: Story method: J.a Story failure protocol: <Errors.foo: 1>, <Errors.bar: 2>, <Errors.baz: 3> Substory method: T.x Substory failure protocol: 'foo', 'bar', 'baz' """.strip() with pytest.raises(FailureProtocolError) as exc_info: J().a assert str(exc_info.value) == expected def test_composition_type_error_enum_with_list(f): """We can't combine different types of stories and substories.""" class T(f.ChildWithEnum, f.EnumMethod): pass class Q(f.ParentWithList, f.NormalParentMethod, T): pass class J(f.ParentWithList, f.NormalParentMethod): def __init__(self): self.x = T().x # Substory inheritance. expected = """ Story and substory failure protocols has incompatible types: Story method: Q.a Story failure protocol: 'foo', 'bar', 'baz' Substory method: Q.x Substory failure protocol: <Errors.foo: 1>, <Errors.bar: 2>, <Errors.baz: 3> """.strip() with pytest.raises(FailureProtocolError) as exc_info: Q().a assert str(exc_info.value) == expected # Substory DI. expected = """ Story and substory failure protocols has incompatible types: Story method: J.a Story failure protocol: 'foo', 'bar', 'baz' Substory method: T.x Substory failure protocol: <Errors.foo: 1>, <Errors.bar: 2>, <Errors.baz: 3> """.strip() with pytest.raises(FailureProtocolError) as exc_info: J().a assert str(exc_info.value) == expected def test_deny_substory_reason_parent_story_protocol_with_list(f): """ We deny to use Failure reason from the parent story protocol in the substory method. """ class T(f.ChildWithNull, f.StringMethod): pass class Q(f.ParentWithList, f.NormalParentMethod, T): pass class J(f.ParentWithList, f.NormalParentMethod): def __init__(self): self.x = T().x # Substory inheritance. expected = """ Failure('foo') can not be used in a story without failure protocol. Function returned value: Q.one Use 'failures' story method to define failure protocol. """.strip() assert Q().a.failures == ["foo", "bar", "baz"] with pytest.raises(FailureProtocolError) as exc_info: Q().a() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: Q().a.run() assert str(exc_info.value) == expected # Substory DI. expected = """ Failure('foo') can not be used in a story without failure protocol. Function returned value: T.one Use 'failures' story method to define failure protocol. """.strip() assert J().a.failures == ["foo", "bar", "baz"] with pytest.raises(FailureProtocolError) as exc_info: J().a() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: J().a.run() assert str(exc_info.value) == expected def test_deny_substory_reason_parent_story_protocol_with_enum(f): """ We deny to use Failure reason from the parent story protocol in the substory method. """ class T(f.ChildWithNull, f.EnumMethod): pass class Q(f.ParentWithEnum, f.NormalParentMethod, T): pass class J(f.ParentWithEnum, f.NormalParentMethod): def __init__(self): self.x = T().x # Substory inheritance. expected = """ Failure(<Errors.foo: 1>) can not be used in a story without failure protocol. Function returned value: Q.one Use 'failures' story method to define failure protocol. """.strip() assert isinstance(Q().a.failures, enum.EnumMeta) assert set(Q().a.failures.__members__.keys()) == {"foo", "bar", "baz"} with pytest.raises(FailureProtocolError) as exc_info: Q().a() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: Q().a.run() assert str(exc_info.value) == expected # Substory DI. expected = """ Failure(<Errors.foo: 1>) can not be used in a story without failure protocol. Function returned value: T.one Use 'failures' story method to define failure protocol. """.strip() assert isinstance(J().a.failures, enum.EnumMeta) assert set(J().a.failures.__members__.keys()) == {"foo", "bar", "baz"} with pytest.raises(FailureProtocolError) as exc_info: J().a() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: J().a.run() assert str(exc_info.value) == expected def test_deny_story_reason_substory_protocol_with_list(f): """ We deny to use Failure reason from the substory protocol in the parent story method. """ class T(f.ChildWithList, f.NormalMethod): pass class Q(f.ParentWithNull, f.StringParentMethod, T): pass class J(f.ParentWithNull, f.StringParentMethod): def __init__(self): self.x = T().x # Substory inheritance. expected = """ Failure('foo') can not be used in a story without failure protocol. Function returned value: Q.before Use 'failures' story method to define failure protocol. """.strip() assert Q().a.failures == ["foo", "bar", "baz"] with pytest.raises(FailureProtocolError) as exc_info: Q().a() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: Q().a.run() assert str(exc_info.value) == expected # Substory DI. expected = """ Failure('foo') can not be used in a story without failure protocol. Function returned value: J.before Use 'failures' story method to define failure protocol. """.strip() assert J().a.failures == ["foo", "bar", "baz"] with pytest.raises(FailureProtocolError) as exc_info: J().a() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: J().a.run() assert str(exc_info.value) == expected def test_deny_story_reason_substory_protocol_with_enum(f): """ We deny to use Failure reason from the substory protocol in the parent story method. """ class T(f.ChildWithEnum, f.NormalMethod): pass class Q(f.ParentWithNull, f.EnumParentMethod, T): pass class J(f.ParentWithNull, f.EnumParentMethod): def __init__(self): self.x = T().x # Substory inheritance. expected = """ Failure(<Errors.foo: 1>) can not be used in a story without failure protocol. Function returned value: Q.before Use 'failures' story method to define failure protocol. """.strip() assert isinstance(Q().a.failures, enum.EnumMeta) assert set(Q().a.failures.__members__.keys()) == {"foo", "bar", "baz"} with pytest.raises(FailureProtocolError) as exc_info: Q().a() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: Q().a.run() assert str(exc_info.value) == expected # Substory DI. expected = """ Failure(<Errors.foo: 1>) can not be used in a story without failure protocol. Function returned value: J.before Use 'failures' story method to define failure protocol. """.strip() assert isinstance(J().a.failures, enum.EnumMeta) assert set(J().a.failures.__members__.keys()) == {"foo", "bar", "baz"} with pytest.raises(FailureProtocolError) as exc_info: J().a() assert str(exc_info.value) == expected with pytest.raises(FailureProtocolError) as exc_info: J().a.run() assert str(exc_info.value) == expected

25.812532

85

0.651039

6,667

51,083

4.871756

0.025949

0.043534

0.049754

0.085345

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0.949631

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0

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51,083

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0.813008

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false

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1

0

1

0

null

0

1

0

8

18b7c1a7414007318e5ee5c2bb3d7ca869890fab

3,908

py

Python

configs/yair/_base_/datasets/traffic.py

YairShemer/mmdetection

adaddd942026f7a147731d95f7ec7f85b4ea1d29

[ "Apache-2.0" ]

null

configs/yair/_base_/datasets/traffic.py

YairShemer/mmdetection

adaddd942026f7a147731d95f7ec7f85b4ea1d29

[ "Apache-2.0" ]

1

2020-05-20T08:13:44.000Z

configs/yair/_base_/datasets/traffic.py

YairShemer/mmdetection

adaddd942026f7a147731d95f7ec7f85b4ea1d29

[ "Apache-2.0" ]

null

dataset_type = 'CocoCarDamage' data_root = '/home/yairshe/datasets/coco_car_damage/' img_norm_cfg = dict( mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) train_pipeline = [ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True), dict(type='Resize', img_scale=(1333, 800), keep_ratio=True), dict(type='RandomFlip', flip_ratio=0.5), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']) ] test_pipeline = [ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(1333, 800), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ] data = dict( samples_per_gpu=2, workers_per_gpu=2, train=dict( type='Traffic', ann_file='data.json', img_prefix='train', pipeline=[ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True), dict(type='Resize', img_scale=(1333, 800), keep_ratio=True), dict(type='RandomFlip', flip_ratio=0.5), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']) ], data_root='/home/yairshe/data/traffic/set_500/'), val=dict( type='Traffic', ann_file='data.json', img_prefix='val', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(1333, 800), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ], data_root='/home/yairshe/data/traffic/set_500/'), test=dict( type='Traffic', ann_file='data.json', img_prefix='val', pipeline=[ dict(type='LoadImageFromWebcam'), dict( type='MultiScaleFlipAug', img_scale=(1333, 800), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img']) ]) ], data_root='/home/yairshe/data/traffic/set_500/')) evaluation = dict(interval=1, metric='bbox')

35.527273

77

0.488229

412

3,908

4.502427

0.196602

0.185445

0.077628

0.042049

0.904043

0.884636

0.863612

0

0.096016

0.357728

3,908

109

78

35.853211

0.643028

0

0.833333

0

0.179933

0.036857

0

1

0

false

0

null

0

1

0

1

0

null

0

7

18e369cd26d7be6e5456b6e40192a0ed5eceec3f

188

py

Python

app/tasks/__init__.py

Clivern/Kraven

5d8d2de26e170d853d7d5f2b1f2d453ab07e4401

[ "Apache-2.0" ]

3

2018-07-22T22:36:09.000Z

2019-05-31T10:29:54.000Z

app/tasks/__init__.py

Clivern/Kraven

5d8d2de26e170d853d7d5f2b1f2d453ab07e4401

[ "Apache-2.0" ]

41

2018-07-22T22:07:52.000Z

2018-11-14T11:07:48.000Z

app/tasks/__init__.py

Clivern/Kraven

5d8d2de26e170d853d7d5f2b1f2d453ab07e4401

[ "Apache-2.0" ]

1

2020-04-24T12:55:27.000Z

""" Load Tasks """ from .test import * # noqa: F401 F403 from .forgot_password import * # noqa: F401 F403 from .docker.image import * # noqa: F401 F403

23.5

55

0.558511

22

188

4.727273

0.545455

0.288462

0.403846

0.519231

0.423077

0

0.145161

0.340426

188

7

56

26.857143

0.693548

0.31383

0

1

0

true

0.333333

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

9

18fb6536ae6662294ba9317f4293afaa81143b63

9,076

py

Python

server/test_connect4.py

dangoldin/connect-four

df7be0a73e73e2d44d353b9bb830bee3a5f8f802

[ "MIT" ]

null

server/test_connect4.py

dangoldin/connect-four

df7be0a73e73e2d44d353b9bb830bee3a5f8f802

[ "MIT" ]

null

server/test_connect4.py

dangoldin/connect-four

df7be0a73e73e2d44d353b9bb830bee3a5f8f802

[ "MIT" ]

null

#! /usr/bin/env python3 import unittest from connect4 import Connect4 class TestConnect4(unittest.TestCase): def testCreateWithDefault(self): b = Connect4() def testCreateWithCustomArgs(self): b = Connect4(10, 11) def testColumnFull(self): b = Connect4() b.move(0, '1') self.assertFalse(b.column_full(0)) b.move(0, '1') self.assertFalse(b.column_full(0)) b.move(0, '1') self.assertFalse(b.column_full(0)) b.move(0, '1') self.assertFalse(b.column_full(0)) b.move(0, '1') self.assertFalse(b.column_full(0)) b.move(0, '1') self.assertTrue(b.column_full(0)) def testWinnerVertical(self): b = Connect4() self.assertFalse(b.winner('1')) b.move(0, '1') self.assertFalse(b.winner('1')) b.move(0, '1') self.assertFalse(b.winner('1')) b.move(0, '1') self.assertFalse(b.winner('1')) b.move(0, '1') self.assertTrue(b.winner('1')) def testWinnerVerticalLast(self): b = Connect4() self.assertFalse(b.winner('2')) b.move(6, '2') self.assertFalse(b.winner('2')) b.move(6, '2') self.assertFalse(b.winner('2')) b.move(6, '2') self.assertFalse(b.winner('2')) b.move(6, '2') self.assertTrue(b.winner('2')) def testWinnerVerticalTopLeft(self): b = Connect4() self.assertFalse(b.winner('1')) b.move(0, '2') self.assertFalse(b.winner('1')) b.move(0, '2') self.assertFalse(b.winner('1')) b.move(0, '1') self.assertFalse(b.winner('1')) b.move(0, '1') self.assertFalse(b.winner('1')) b.move(0, '1') self.assertFalse(b.winner('1')) b.move(0, '1') self.assertTrue(b.winner('1')) def testWinnerVerticalTopRight(self): b = Connect4() self.assertFalse(b.winner('2')) b.move(6, '1') self.assertFalse(b.winner('2')) b.move(6, '1') self.assertFalse(b.winner('2')) b.move(6, '2') self.assertFalse(b.winner('2')) b.move(6, '2') self.assertFalse(b.winner('2')) b.move(6, '2') self.assertFalse(b.winner('2')) b.move(6, '2') self.assertTrue(b.winner('2')) def testWinnerHorizontal(self): b = Connect4() self.assertFalse(b.winner('1')) b.move(0, '1') self.assertFalse(b.winner('1')) b.move(1, '1') self.assertFalse(b.winner('1')) b.move(2, '1') self.assertFalse(b.winner('1')) b.move(3, '1') self.assertTrue(b.winner('1')) def testWinnerHorizontalLast(self): b = Connect4() self.assertFalse(b.winner('2')) b.move(6, '2') self.assertFalse(b.winner('2')) b.move(5, '2') self.assertFalse(b.winner('2')) b.move(4, '2') self.assertFalse(b.winner('2')) b.move(3, '2') self.assertTrue(b.winner('2')) def testWinnerHorizontalTopRight(self): b = Connect4() for i in range(5): b.move(6, '2') b.move(5, '2') b.move(4, '2') b.move(3, '2') self.assertFalse(b.winner('1')) b.move(6, '1') self.assertFalse(b.winner('1')) b.move(5, '1') self.assertFalse(b.winner('1')) b.move(4, '1') self.assertFalse(b.winner('1')) b.move(3, '1') self.assertTrue(b.winner('1')) def testWinnerDiagonalBackSlash(self): b = Connect4() self.assertFalse(b.winner('1')) b.move(0, '2') b.move(0, '2') b.move(0, '2') b.move(0, '1') self.assertFalse(b.winner('1')) b.move(1, '2') b.move(1, '2') b.move(1, '1') self.assertFalse(b.winner('1')) b.move(2, '2') b.move(2, '1') self.assertFalse(b.winner('1')) b.move(3, '1') self.assertTrue(b.winner('1')) def testWinnerDiagonalBackSlashTopLeft(self): b = Connect4() b.move(0, '3') b.move(1, '3') b.move(2, '3') b.move(3, '3') b.move(0, '3') b.move(1, '3') b.move(2, '3') b.move(3, '3') self.assertFalse(b.winner('1')) b.move(0, '2') b.move(0, '2') b.move(0, '2') b.move(0, '1') self.assertFalse(b.winner('1')) b.move(1, '2') b.move(1, '2') b.move(1, '1') self.assertFalse(b.winner('1')) b.move(2, '2') b.move(2, '1') self.assertFalse(b.winner('1')) b.move(3, '1') self.assertTrue(b.winner('1')) def testWinnerDiagonalBackSlashRight(self): b = Connect4() self.assertFalse(b.winner('1')) b.move(3, '2') b.move(3, '2') b.move(3, '2') b.move(3, '1') self.assertFalse(b.winner('1')) b.move(4, '2') b.move(4, '2') b.move(4, '1') self.assertFalse(b.winner('1')) b.move(5, '2') b.move(5, '1') self.assertFalse(b.winner('1')) b.move(6, '1') self.assertTrue(b.winner('1')) def testWinnerDiagonalBackSlashTopRight(self): b = Connect4() b.move(3, '3') b.move(4, '3') b.move(5, '3') b.move(6, '3') b.move(3, '3') b.move(4, '3') b.move(5, '3') b.move(6, '3') self.assertFalse(b.winner('1')) b.move(3, '2') b.move(3, '2') b.move(3, '2') b.move(3, '1') self.assertFalse(b.winner('1')) b.move(4, '2') b.move(4, '2') b.move(4, '1') self.assertFalse(b.winner('1')) b.move(5, '2') b.move(5, '1') self.assertFalse(b.winner('1')) b.move(6, '1') self.assertTrue(b.winner('1')) def testWinnerDiagonalForwardSlash(self): b = Connect4() self.assertFalse(b.winner('1')) b.move(3, '2') b.move(3, '2') b.move(3, '2') b.move(3, '1') self.assertFalse(b.winner('1')) b.move(2, '2') b.move(2, '2') b.move(2, '1') self.assertFalse(b.winner('1')) b.move(1, '2') b.move(1, '1') self.assertFalse(b.winner('1')) b.move(0, '1') self.assertTrue(b.winner('1')) def testWinnerDiagonalForwardSlashTopLeft(self): b = Connect4() b.move(0, '3') b.move(1, '3') b.move(2, '3') b.move(3, '3') b.move(0, '3') b.move(1, '3') b.move(2, '3') b.move(3, '3') self.assertFalse(b.winner('1')) b.move(3, '2') b.move(3, '2') b.move(3, '2') b.move(3, '1') self.assertFalse(b.winner('1')) b.move(2, '2') b.move(2, '2') b.move(2, '1') self.assertFalse(b.winner('1')) b.move(1, '2') b.move(1, '1') self.assertFalse(b.winner('1')) b.move(0, '1') self.assertTrue(b.winner('1')) def testWinnerDiagonalForwardSlashRight(self): b = Connect4() self.assertFalse(b.winner('1')) b.move(6, '2') b.move(6, '2') b.move(6, '2') b.move(6, '1') self.assertFalse(b.winner('1')) b.move(5, '2') b.move(5, '2') b.move(5, '1') self.assertFalse(b.winner('1')) b.move(4, '2') b.move(4, '1') self.assertFalse(b.winner('1')) b.move(3, '1') self.assertTrue(b.winner('1')) def testWinnerDiagonalForwardSlashTopRight(self): b = Connect4() b.move(6, '3') b.move(5, '3') b.move(4, '3') b.move(3, '3') b.move(6, '3') b.move(5, '3') b.move(4, '3') b.move(3, '3') self.assertFalse(b.winner('1')) b.move(6, '2') b.move(6, '2') b.move(6, '2') b.move(6, '1') self.assertFalse(b.winner('1')) b.move(5, '2') b.move(5, '2') b.move(5, '1') self.assertFalse(b.winner('1')) b.move(4, '2') b.move(4, '1') self.assertFalse(b.winner('1')) b.move(3, '1') print(b) self.assertTrue(b.winner('1')) def testAvailableColumns(self): b = Connect4() self.assertListEqual([0,1,2,3,4,5,6], b.get_available_columns()) b.move(0, '1') b.move(0, '1') b.move(0, '1') b.move(0, '1') b.move(0, '1') self.assertListEqual([0,1,2,3,4,5,6], b.get_available_columns()) b.move(0, '1') self.assertListEqual([1,2,3,4,5,6], b.get_available_columns()) b.move(6, '2') b.move(6, '2') b.move(6, '2') b.move(6, '2') b.move(6, '2') self.assertListEqual([1,2,3,4,5,6], b.get_available_columns()) b.move(6, '2') self.assertListEqual([1,2,3,4,5], b.get_available_columns()) if __name__ == '__main__': unittest.main()

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null

0

1

0

1

0

null

0

9

e18425625fe0196e0ebc50906e7fc869ee8b7a1d

2,505

py

Python

pip_benchmark_python/standardbenchmarks/StandardCpuBenchmark.py

pip-benchmark/pip-benchmark-python

d75672e940af12e2f9818607e2188490e989d8c5

[ "MIT" ]

null

pip_benchmark_python/standardbenchmarks/StandardCpuBenchmark.py

pip-benchmark/pip-benchmark-python

d75672e940af12e2f9818607e2188490e989d8c5

[ "MIT" ]

null

pip_benchmark_python/standardbenchmarks/StandardCpuBenchmark.py

pip-benchmark/pip-benchmark-python

d75672e940af12e2f9818607e2188490e989d8c5

[ "MIT" ]

null

# -*- coding: utf-8 -*- import math from ..Benchmark import Benchmark class StandardCpuBenchmark(Benchmark): __number_of_attempts = 20000 def __init__(self): super().__init__('CPU', 'Measures CPU speed by running arithmetical operations') def execute(self, callback): # Count increment, comparison and goto for 1 arithmetic operation for value in range(1, StandardCpuBenchmark.__number_of_attempts + 1): # 1 result1 = value + value result2 = result1 - value result3 = result1 * result2 result4 = result2 / result3 math.log(result4) # 2 result1 = value + value result2 = result1 - value result3 = result1 * result2 result4 = result2 / result3 math.log(result4) # 3 result1 = value + value result2 = result1 - value result3 = result1 * result2 result4 = result2 / result3 math.log(result4) # 4 result1 = value + value result2 = result1 - value result3 = result1 * result2 result4 = result2 / result3 math.log(result4) # 5 result1 = value + value result2 = result1 - value result3 = result1 * result2 result4 = result2 / result3 math.log(result4) # 6 result1 = value + value result2 = result1 - value result3 = result1 * result2 result4 = result2 / result3 math.log(result4) # 7 result1 = value + value result2 = result1 - value result3 = result1 * result2 result4 = result2 / result3 math.log(result4) # 8 result1 = value + value result2 = result1 - value result3 = result1 * result2 result4 = result2 / result3 math.log(result4) # 9 result1 = value + value result2 = result1 - value result3 = result1 * result2 result4 = result2 / result3 math.log(result4) # 10 result1 = value + value result2 = result1 - value result3 = result1 * result2 result4 = result2 / result3 math.log(result4) if callback: callback(None)

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7

e1b1c729b469f6e5aaa36ef45f7cdc1a3a24be08

4,146

py

Python

dfirtrack_config/tests/assignment/test_assignment_views.py

thomas-kropeit/dfirtrack

b1e0e659af7bc8085cfe2d269ddc651f9f4ba585

[ "Apache-2.0" ]

null

dfirtrack_config/tests/assignment/test_assignment_views.py

thomas-kropeit/dfirtrack

b1e0e659af7bc8085cfe2d269ddc651f9f4ba585

[ "Apache-2.0" ]

6

2022-03-16T12:30:51.000Z

2022-03-28T01:34:45.000Z

dfirtrack_config/tests/assignment/test_assignment_views.py

thomas-kropeit/dfirtrack

b1e0e659af7bc8085cfe2d269ddc651f9f4ba585

[ "Apache-2.0" ]

null

import urllib.parse from django.contrib.auth.models import User from django.test import TestCase class AssignmentViewTestCase(TestCase): """assignment view tests""" @classmethod def setUpTestData(cls): # create user User.objects.create_user( username='testuser_assignment', password='8t5Uw5eAYDtd5X6TVAXK' ) def test_assignment_view_not_logged_in(self): """test assignment view""" # create url destination = '/login/?next=' + urllib.parse.quote( '/config/assignment/', safe='' ) # get response response = self.client.get('/config/assignment/', follow=True) # compare self.assertRedirects( response, destination, status_code=302, target_status_code=200 ) def test_assignment_view_logged_in(self): """test assignment view""" # login testuser self.client.login( username='testuser_assignment', password='8t5Uw5eAYDtd5X6TVAXK' ) # get response response = self.client.get('/config/assignment/') # compare self.assertEqual(response.status_code, 200) def test_assignment_view_template(self): """test assignment view""" # login testuser self.client.login( username='testuser_assignment', password='8t5Uw5eAYDtd5X6TVAXK' ) # get response response = self.client.get('/config/assignment/') # compare self.assertTemplateUsed(response, 'dfirtrack_config/assignment/assignment.html') def test_assignment_view_get_user_context(self): """test assignment view""" # login testuser self.client.login( username='testuser_assignment', password='8t5Uw5eAYDtd5X6TVAXK' ) # get response response = self.client.get('/config/assignment/') # compare self.assertEqual(str(response.context['user']), 'testuser_assignment') def test_assignment_view_redirect(self): """test assignment view""" # login testuser self.client.login( username='testuser_assignment', password='8t5Uw5eAYDtd5X6TVAXK' ) # create url destination = urllib.parse.quote('/config/assignment/', safe='/') # get response response = self.client.get('/config/assignment', follow=True) # compare self.assertRedirects( response, destination, status_code=301, target_status_code=200 ) def test_assignment_view_clear_filter_not_logged_in(self): """test assignment view""" # create url destination = '/login/?next=' + urllib.parse.quote( '/config/assignment/clear_filter/', safe='' ) # get response response = self.client.get('/config/assignment/clear_filter/', follow=True) # compare self.assertRedirects( response, destination, status_code=302, target_status_code=200 ) def test_assignment_view_clear_filter_logged_in(self): """test assignment view""" # login testuser self.client.login( username='testuser_assignment', password='8t5Uw5eAYDtd5X6TVAXK' ) # create url destination = urllib.parse.quote('/config/assignment/', safe='/') # get response response = self.client.get('/config/assignment/clear_filter/') # compare self.assertRedirects( response, destination, status_code=302, target_status_code=200 ) def test_assignment_view_clear_filter_redirect(self): """test assignment view""" # login testuser self.client.login( username='testuser_assignment', password='8t5Uw5eAYDtd5X6TVAXK' ) # create url destination = urllib.parse.quote('/config/assignment/', safe='/') # get response response = self.client.get('/config/assignment/clear_filter', follow=True) # compare self.assertRedirects( response, destination, status_code=301, target_status_code=200 )

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null

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null

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7

bee7b2bc049d2a28646c471caf3b318beaf9750f

128

py

Python

pytype/tools/merge_pyi/test_data/imports.py

ashwinprasadme/pytype

fed209c73aacfcab15efc33deef3b4016a67cfe5

[ "Apache-2.0" ]

3,882

2015-03-22T12:17:15.000Z

2022-03-31T17:13:20.000Z

pytype/tools/merge_pyi/test_data/imports.py

ashwinprasadme/pytype

fed209c73aacfcab15efc33deef3b4016a67cfe5

[ "Apache-2.0" ]

638

2015-11-03T06:34:44.000Z

2022-03-31T23:41:48.000Z

pytype/tools/merge_pyi/test_data/imports.py

ashwinprasadme/pytype

fed209c73aacfcab15efc33deef3b4016a67cfe5

[ "Apache-2.0" ]

301

2015-08-14T10:21:17.000Z

2022-03-08T11:03:40.000Z

import existing_import from existing_import import d def f(a1, a2, a3, a4, a5, a6): pass def g(a7, a8, a9, a10): pass

14.222222

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0

0.112245

0.234375

128

8

31

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0.333333

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1

0

1

0

null

0

1

0

1

0

1

0

7

831399c613d7433fec9ff3f1ba265e7e2cad1418

6,759

py

Python

tests/test_custom.py

gcasgo/OneAgent-SDK-Python-AutoInstrumentation

b1abe7b9993fda094ba96f56affc776d7cd0ffed

[ "Apache-2.0" ]

22

2020-08-11T13:26:11.000Z

2022-02-13T12:06:01.000Z

tests/test_custom.py

gcasgo/OneAgent-SDK-Python-AutoInstrumentation

b1abe7b9993fda094ba96f56affc776d7cd0ffed

[ "Apache-2.0" ]

29

2019-10-28T12:12:30.000Z

2020-08-05T16:16:16.000Z

tests/test_custom.py

gcasgo/OneAgent-SDK-Python-AutoInstrumentation

b1abe7b9993fda094ba96f56affc776d7cd0ffed

[ "Apache-2.0" ]

11

2020-09-15T03:20:56.000Z

2022-02-11T13:06:01.000Z

import sys import os import autodynatrace import autodynatrace.wrappers.custom.wrapper as custom_wrapper @autodynatrace.trace def module_function(): return 1 def another_function(): pass class MyClass: def class_method(self): pass @staticmethod def static_method(self): pass @autodynatrace.trace("Service") def decorated_service_only(): return 1 @autodynatrace.trace(method="method") def decorated_method_only(): return 1 @autodynatrace.trace("Service", "method") def decorated_service_and_method(): return 1 def test_custom_service_name(): my_class = MyClass() os.environ.pop("AUTODYNATRACE_CUSTOM_SERVICE_USE_FQN", None) os.environ.pop("AUTODYNATRACE_CUSTOM_SERVICE_NAME", None) assert custom_wrapper.generate_service_name(module_function) == "tests.test_custom" assert custom_wrapper.generate_service_name(my_class.class_method) == "MyClass" assert custom_wrapper.generate_service_name(classmethod(my_class.class_method)) == "MyClass" assert custom_wrapper.generate_service_name(module_function) == custom_wrapper.generate_service_name(another_function) if sys.version_info[0] == 2: assert custom_wrapper.generate_service_name(my_class.static_method) == "tests.test_custom" assert custom_wrapper.generate_service_name(MyClass.static_method) == "tests.test_custom" else: assert custom_wrapper.generate_service_name(my_class.static_method) == "MyClass" assert custom_wrapper.generate_service_name(MyClass.static_method) == "MyClass" os.environ["AUTODYNATRACE_CUSTOM_SERVICE_NAME"] = "CustomServiceName" assert custom_wrapper.generate_service_name(module_function) == "CustomServiceName" def test_custom_service_name_fqn_true(): my_class = MyClass() os.environ["AUTODYNATRACE_CUSTOM_SERVICE_USE_FQN"] = "TRUE" os.environ.pop("AUTODYNATRACE_CUSTOM_SERVICE_NAME", None) assert custom_wrapper.generate_service_name(module_function) == "tests.test_custom" assert custom_wrapper.generate_service_name(my_class.class_method) == "tests.test_custom.MyClass" assert custom_wrapper.generate_service_name(classmethod(my_class.class_method)) == "tests.test_custom.MyClass" assert custom_wrapper.generate_service_name(module_function) == custom_wrapper.generate_service_name(another_function) if sys.version_info[0] == 2: assert custom_wrapper.generate_service_name(my_class.static_method) == "tests.test_custom" assert custom_wrapper.generate_service_name(MyClass.static_method) == "tests.test_custom" else: assert custom_wrapper.generate_service_name(my_class.static_method) == "tests.test_custom.MyClass" assert custom_wrapper.generate_service_name(MyClass.static_method) == "tests.test_custom.MyClass" os.environ["AUTODYNATRACE_CUSTOM_SERVICE_NAME"] = "CustomServiceName" assert custom_wrapper.generate_service_name(module_function) == "CustomServiceName" def test_custom_method_name_fqn_false(): my_class = MyClass() os.environ.pop("AUTODYNATRACE_CUSTOM_SERVICE_USE_FQN", None) os.environ.pop("AUTODYNATRACE_CUSTOM_SERVICE_NAME", None) assert custom_wrapper.generate_method_name(module_function) == "module_function" assert custom_wrapper.generate_method_name(my_class.class_method) == "class_method" assert custom_wrapper.generate_method_name(classmethod(my_class.class_method)) == "class_method" assert custom_wrapper.generate_method_name(another_function) == "another_function" assert custom_wrapper.generate_method_name(my_class.static_method) == "static_method" assert custom_wrapper.generate_method_name(MyClass.static_method) == "static_method" os.environ["AUTODYNATRACE_CUSTOM_SERVICE_NAME"] = "CustomServiceName" assert custom_wrapper.generate_method_name(module_function) == "tests.test_custom.module_function" assert custom_wrapper.generate_method_name(my_class.class_method) == "MyClass.class_method" assert custom_wrapper.generate_method_name(classmethod(my_class.class_method)) == "MyClass.class_method" assert custom_wrapper.generate_method_name(another_function) == "tests.test_custom.another_function" if sys.version_info[0] == 2: assert custom_wrapper.generate_method_name(my_class.static_method) == "tests.test_custom.static_method" assert custom_wrapper.generate_method_name(MyClass.static_method) == "tests.test_custom.static_method" else: assert custom_wrapper.generate_method_name(my_class.static_method) == "MyClass.static_method" assert custom_wrapper.generate_method_name(MyClass.static_method) == "MyClass.static_method" def test_custom_method_name_fqn_true(): my_class = MyClass() os.environ["AUTODYNATRACE_CUSTOM_SERVICE_USE_FQN"] = "TRUE" os.environ.pop("AUTODYNATRACE_CUSTOM_SERVICE_NAME", None) assert custom_wrapper.generate_method_name(module_function) == "tests.test_custom.module_function" assert custom_wrapper.generate_method_name(my_class.class_method) == "tests.test_custom.MyClass.class_method" assert custom_wrapper.generate_method_name(classmethod(my_class.class_method)) == "tests.test_custom.MyClass.class_method" assert custom_wrapper.generate_method_name(another_function) == "tests.test_custom.another_function" os.environ["AUTODYNATRACE_CUSTOM_SERVICE_NAME"] = "CustomServiceName" assert custom_wrapper.generate_method_name(module_function) == "tests.test_custom.module_function" assert custom_wrapper.generate_method_name(my_class.class_method) == "tests.test_custom.MyClass.class_method" assert custom_wrapper.generate_method_name(classmethod(my_class.class_method)) == "tests.test_custom.MyClass.class_method" assert custom_wrapper.generate_method_name(another_function) == "tests.test_custom.another_function" if sys.version_info[0] == 2: assert custom_wrapper.generate_method_name(my_class.static_method) == "tests.test_custom.static_method" assert custom_wrapper.generate_method_name(MyClass.static_method) == "tests.test_custom.static_method" else: assert custom_wrapper.generate_method_name(my_class.static_method) == "tests.test_custom.MyClass.static_method" assert custom_wrapper.generate_method_name(MyClass.static_method) == "tests.test_custom.MyClass.static_method" def test_custom_service_instrumentation(): assert module_function() == 1 assert decorated_method_only() == 1 assert decorated_service_only() == 1 assert decorated_service_and_method() == 1 def test_decorator_with_arguments(): assert custom_wrapper.generate_service_name(module_function, "Service") == "Service" assert custom_wrapper.generate_method_name(module_function, "method") == "method"

47.265734

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5.869565

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0.248649

0.9001

0.871471

0.858659

0.834234

0.832633

0

0.002669

0.113182

6,759

142

127

47.598592

0.830664

0

0.528846

0

0.224589

0.163486

0

0.480769

1

0.125

false

0.028846

0.038462

0.211538

0

null

0

1

0

null

0

1

0

9

83316354e1dc2f9cbd23c4dc3217f02af3d2adcd

84,236

py

Python

tests/JSwasmtest1_input.py

liweichengcode/SM-client-sdk-python

46ac9f86f2f4f67ca7cae9b2b454bd63d4ecd84b

[ "MIT" ]

7

2019-03-18T06:56:18.000Z

2021-05-06T07:41:02.000Z

tests/JSwasmtest1_input.py

liweichengcode/SM-client-sdk-python

46ac9f86f2f4f67ca7cae9b2b454bd63d4ecd84b

[ "MIT" ]

12

2020-09-18T05:46:27.000Z

2021-12-24T09:38:31.000Z

tests/JSwasmtest1_input.py

liweichengcode/SM-client-sdk-python

46ac9f86f2f4f67ca7cae9b2b454bd63d4ecd84b

[ "MIT" ]

16

2019-02-28T03:21:14.000Z

2021-07-15T06:49:39.000Z

from client_sdk_python.param_encode import rlp_decode,rlp_encode # input 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# testinput=['d7','85', '68', '65', '6c', '6c', '6f', '88', '74', '68', '69', '73', '20', '77', '61', '79', '87', '67', '6f', '20', '68', '6f', '6d', '65'] # mapdata=['f8', '47', 'e3', '8b', '68', '65', '6c', '6c', '6f', '20', '77', '6f', '72', '6c', '64', '96', '6d', '61', '79', '20', '74', '68', '65', '20', '66', '6f', '72', '63', '65', '20', '77', '69', '74', '68', '20', '79', '6f', '75', 'e2', '8b', '68', '6f', '77', '20', '61', '72', '65', '20', '79', '6f', '75', '95', '66', '69', '6e', '65', '2c', '74', '68', '61', '6e', '6b', '73', '20', '61', '6e', '64', '20', '79', '6f', '75', '20', '3f'] h1=['cb', '8a', '48', '65', '6c', '6c', '6f', '57', '6f', '72', '6c', '64'] data1=['d6', 'cb', '8a', '48', '65', '6c', '6c', '6f', '57', '6f', '72', '6c', '64', '84', '57', '61', '73', '6d', '84', '47', '6f', '6f', '64'] aa = rlp_decode(data1) print(aa) #rlp_decode之后的数据格式 # paramABI=((['68', '65', '6c', '6c', '6f', '20', '77', '6f', '72', '6c', '64'], ['6d', '61', '79', '20', '74', '68', '65', '20', '66', '6f', '72', '63', '65', '20', '77', '69', '74', '68', '20', '79', '6f', '75']), (['68', '6f', '77', '20', '61', '72', '65', '20', '79', '6f', '75'], ['66', '69', '6e', '65', '2c', '74', '68', '61', '6e', '6b', '73', '20', '61', '6e', '64', '20', '79', '6f', '75', '20', '3f'])) # paramabi=(['9a', '6e', 'bb', 'c6', 'a5', '9a', 'b5', 'be'], (([['48', '65', '6c', '6c', '6f', '57', '6f', '72', '6c', '64']], ['57', '61', '73', '6d'], ['47', '6f', '6f', '64']),)) # aa=rlp_encode(paramabi) # print(aa)

6,016.857143

82,657

0.988449

256

84,236

325.214844

0.25

0.000336

0.000432

0.000577

0.004372

0.004252

0.00394

0

0.905291

0.002873

84,236

14

82,658

6,016.857143

0.085911

0.996011

0

0.213415

0

1

0

1

0

false

0

0.2

0

0.2

0

1

null

0

1

0

1

0

null

1

0

7

83442df70720a89aa912984898e869beaa8970d9

8,595

py

Python

tests/test_layers/test_2d/checks_2d/check_operation_2d.py

RichardoLuo/ColossalAI

797a9dc5a9e801d7499b8667c3ef039a38aa15ba

[ "Apache-2.0" ]

1,630

2021-10-30T01:00:27.000Z

2022-03-31T23:02:41.000Z

tests/test_layers/test_2d/checks_2d/check_operation_2d.py

RichardoLuo/ColossalAI

797a9dc5a9e801d7499b8667c3ef039a38aa15ba

[ "Apache-2.0" ]

166

2021-10-30T01:03:01.000Z

2022-03-31T14:19:07.000Z

tests/test_layers/test_2d/checks_2d/check_operation_2d.py

RichardoLuo/ColossalAI

797a9dc5a9e801d7499b8667c3ef039a38aa15ba

[ "Apache-2.0" ]

253

2021-10-30T06:10:29.000Z

2022-03-31T13:30:06.000Z

#!/usr/bin/env python # -*- encoding: utf-8 -*- import torch from colossalai.context.parallel_mode import ParallelMode from colossalai.core import global_context as gpc from colossalai.nn.layer.parallel_2d._operation import Matmul_AB_2D, Matmul_ABT_2D, Matmul_ATB_2D from colossalai.utils import get_current_device from colossalai.utils import print_rank_0 from .common import check_equal, BATCH_SIZE, SEQ_LENGTH, HIDDEN_SIZE, DEPTH def check_AB(): data_parallel_rank = 0 if not gpc.is_initialized(ParallelMode.DATA) else gpc.get_local_rank(ParallelMode.DATA) pipeline_parallel_rank = 0 if not gpc.is_initialized(ParallelMode.PIPELINE) else gpc.get_local_rank( ParallelMode.PIPELINE) pipeline_parallel_size = 1 if not gpc.is_initialized(ParallelMode.PIPELINE) else gpc.get_world_size( ParallelMode.PIPELINE) tensor_parallel_size = gpc.get_world_size(ParallelMode.TENSOR) dtype = torch.float j = gpc.get_local_rank(ParallelMode.PARALLEL_2D_ROW) i = gpc.get_local_rank(ParallelMode.PARALLEL_2D_COL) A_shape = (BATCH_SIZE, SEQ_LENGTH, HIDDEN_SIZE) A_master = torch.randn(A_shape, dtype=dtype, device=get_current_device()) torch.distributed.broadcast(A_master, src=0) A = torch.chunk(A_master, DEPTH, dim=0)[i] A = torch.chunk(A, DEPTH, dim=-1)[j] A = A.clone() A.requires_grad = True B_shape = (HIDDEN_SIZE, 4 * HIDDEN_SIZE) B_master = torch.randn(B_shape, dtype=dtype, device=get_current_device()) torch.distributed.broadcast(B_master, src=0) B = torch.chunk(B_master, DEPTH, dim=0)[i] B = torch.chunk(B, DEPTH, dim=-1)[j] B = B.clone() B.requires_grad = True out_shape = (BATCH_SIZE // DEPTH, SEQ_LENGTH, 4 * HIDDEN_SIZE // DEPTH) out = Matmul_AB_2D.apply( A, B, DEPTH, out_shape, i, j, ParallelMode.PARALLEL_2D_ROW, ParallelMode.PARALLEL_2D_COL, data_parallel_rank, pipeline_parallel_rank, pipeline_parallel_size, tensor_parallel_size ) C_shape = (BATCH_SIZE, SEQ_LENGTH, 4 * HIDDEN_SIZE) A_master = A_master.clone() A_master.requires_grad = True B_master = B_master.clone() B_master.requires_grad = True C_master = torch.matmul(A_master, B_master) C = torch.chunk(C_master, DEPTH, dim=0)[i] C = torch.chunk(C, DEPTH, dim=-1)[j] # check forward correctness check_equal(out, C) print_rank_0('AB forward: pass') grad_shape = C_master.shape grad_master = torch.randn(grad_shape, dtype=dtype, device=get_current_device()) torch.distributed.broadcast(grad_master, src=0) grad = torch.chunk(grad_master, DEPTH, dim=0)[i] grad = torch.chunk(grad, DEPTH, dim=-1)[j] out.backward(grad) C_master.backward(grad_master) A_grad = A_master.grad A_grad = torch.chunk(A_grad, DEPTH, dim=0)[i] A_grad = torch.chunk(A_grad, DEPTH, dim=-1)[j] # check backward correctness check_equal(A_grad, A.grad) B_grad = B_master.grad B_grad = torch.chunk(B_grad, DEPTH, dim=0)[i] B_grad = torch.chunk(B_grad, DEPTH, dim=-1)[j] # check backward correctness check_equal(B_grad, B.grad) print_rank_0('AB backward: pass') def check_ABT(): data_parallel_rank = 0 if not gpc.is_initialized(ParallelMode.DATA) else gpc.get_local_rank(ParallelMode.DATA) pipeline_parallel_rank = 0 if not gpc.is_initialized(ParallelMode.PIPELINE) else gpc.get_local_rank( ParallelMode.PIPELINE) pipeline_parallel_size = 1 if not gpc.is_initialized(ParallelMode.PIPELINE) else gpc.get_world_size( ParallelMode.PIPELINE) tensor_parallel_size = gpc.get_world_size(ParallelMode.TENSOR) dtype = torch.float device = get_current_device() j = gpc.get_local_rank(ParallelMode.PARALLEL_2D_ROW) i = gpc.get_local_rank(ParallelMode.PARALLEL_2D_COL) C_shape = (BATCH_SIZE, SEQ_LENGTH, 4 * HIDDEN_SIZE) C_master = torch.randn(C_shape, dtype=dtype, device=device) torch.distributed.broadcast(C_master, src=0) C = torch.chunk(C_master, DEPTH, dim=0)[i] C = torch.chunk(C, DEPTH, dim=-1)[j] C = C.clone() C.requires_grad = True B_shape = (HIDDEN_SIZE, 4 * HIDDEN_SIZE) B_master = torch.randn(B_shape, dtype=dtype, device=device) torch.distributed.broadcast(B_master, src=0) B = torch.chunk(B_master, DEPTH, dim=0)[i] B = torch.chunk(B, DEPTH, dim=-1)[j] B = B.clone() B.requires_grad = True out = Matmul_ABT_2D.apply( C, B, DEPTH, (BATCH_SIZE // DEPTH, SEQ_LENGTH, HIDDEN_SIZE // DEPTH), i, j, ParallelMode.PARALLEL_2D_ROW, ParallelMode.PARALLEL_2D_COL, data_parallel_rank, pipeline_parallel_rank, pipeline_parallel_size, tensor_parallel_size ) A_shape = (BATCH_SIZE, SEQ_LENGTH, HIDDEN_SIZE) C_master = C_master.clone() C_master.requires_grad = True B_master = B_master.clone() B_master.requires_grad = True A_master = torch.matmul(C_master, B_master.transpose(0, 1)) A = torch.chunk(A_master, DEPTH, dim=0)[i] A = torch.chunk(A, DEPTH, dim=-1)[j] check_equal(out, A) print_rank_0('ABT forward: pass') grad_shape = A_master.shape grad_master = torch.randn(grad_shape, dtype=dtype, device=device) torch.distributed.broadcast(grad_master, src=0) grad = torch.chunk(grad_master, DEPTH, dim=0)[i] grad = torch.chunk(grad, DEPTH, dim=-1)[j] # backward out.backward(grad) A_master.backward(grad_master) C_grad = C_master.grad C_grad = torch.chunk(C_grad, DEPTH, dim=0)[i] C_grad = torch.chunk(C_grad, DEPTH, dim=-1)[j] check_equal(C_grad, C.grad) B_grad = B_master.grad B_grad = torch.chunk(B_grad, DEPTH, dim=0)[i] B_grad = torch.chunk(B_grad, DEPTH, dim=-1)[j] check_equal(B_grad, B.grad) print_rank_0('ABT backward: pass') def check_ATB(): data_parallel_rank = 0 if not gpc.is_initialized(ParallelMode.DATA) else gpc.get_local_rank(ParallelMode.DATA) pipeline_parallel_rank = 0 if not gpc.is_initialized(ParallelMode.PIPELINE) else gpc.get_local_rank( ParallelMode.PIPELINE) pipeline_parallel_size = 1 if not gpc.is_initialized(ParallelMode.PIPELINE) else gpc.get_world_size( ParallelMode.PIPELINE) tensor_parallel_size = gpc.get_world_size(ParallelMode.TENSOR) device = get_current_device() dtype = torch.float j = gpc.get_local_rank(ParallelMode.PARALLEL_2D_ROW) i = gpc.get_local_rank(ParallelMode.PARALLEL_2D_COL) A_shape = (BATCH_SIZE, SEQ_LENGTH, HIDDEN_SIZE) A_master = torch.randn(A_shape, dtype=dtype, device=device) torch.distributed.broadcast(A_master, src=0) A = torch.chunk(A_master, DEPTH, dim=0)[i] A = torch.chunk(A, DEPTH, dim=-1)[j] A = A.clone() A.requires_grad = True C_shape = (BATCH_SIZE, SEQ_LENGTH, 4 * HIDDEN_SIZE) C_master = torch.randn(C_shape, dtype=dtype, device=device) torch.distributed.broadcast(C_master, src=0) C = torch.chunk(C_master, DEPTH, dim=0)[i] C = torch.chunk(C, DEPTH, dim=-1)[j] C = C.clone() C.requires_grad = True out = Matmul_ATB_2D.apply( A, C, DEPTH, (HIDDEN_SIZE // DEPTH, 4 * HIDDEN_SIZE // DEPTH), i, j, ParallelMode.PARALLEL_2D_ROW, ParallelMode.PARALLEL_2D_COL, data_parallel_rank, pipeline_parallel_rank, pipeline_parallel_size, tensor_parallel_size ) B_shape = (HIDDEN_SIZE, 4 * HIDDEN_SIZE) A_master = A_master.clone() A_master.requires_grad = True C_master = C_master.clone() C_master.requires_grad = True B_master = torch.matmul( A_master.view(-1, A_master.shape[-1]).transpose(0, 1), C_master.view(-1, C_master.shape[-1])) B = torch.chunk(B_master, DEPTH, dim=0)[i] B = torch.chunk(B, DEPTH, dim=-1)[j] check_equal(out, B) print_rank_0('ATB forward: pass') grad_shape = B_master.shape grad_master = torch.randn(grad_shape, dtype=dtype, device=device) torch.distributed.broadcast(grad_master, src=0) grad = torch.chunk(grad_master, DEPTH, dim=0)[i] grad = torch.chunk(grad, DEPTH, dim=-1)[j] out.backward(grad) B_master.backward(grad_master) A_grad = A_master.grad A_grad = torch.chunk(A_grad, DEPTH, dim=0)[i] A_grad = torch.chunk(A_grad, DEPTH, dim=-1)[j] check_equal(A_grad, A.grad) C_grad = C_master.grad C_grad = torch.chunk(C_grad, DEPTH, dim=0)[i] C_grad = torch.chunk(C_grad, DEPTH, dim=-1)[j] check_equal(C_grad, C.grad) print_rank_0('ATB backward: pass')

35.6639

114

0.692612

1,316

8,595

4.256079

0.06459

0.064274

0.028923

0.032137

0.853062

0.831994

0.822889

0.814497

0.808427

0.796108

0

0.013967

0.191972

8,595

240

115

35.8125

0.792513

0.015474

0

0.75

0

0.012181

0

1

0.015306

false

0.030612

0.035714

0

0.05102

0.035714

0

null

0

1

0

1

0

null

0

7

834c919b4c84cf5af3e46a10b447688f932addb3

18,403

py

Python

tests/test_boosting_models.py

yanhong-zhao-ef/explainerdashboard

b057d6458988227e7bcebb2a91ea79c771ddcf2f

[ "MIT" ]

1

2020-11-24T20:14:48.000Z

tests/test_boosting_models.py

yanhong-zhao-ef/explainerdashboard

b057d6458988227e7bcebb2a91ea79c771ddcf2f

[ "MIT" ]

null

tests/test_boosting_models.py

yanhong-zhao-ef/explainerdashboard

b057d6458988227e7bcebb2a91ea79c771ddcf2f

[ "MIT" ]

null

import unittest import pandas as pd import numpy as np from sklearn.metrics import r2_score, roc_auc_score import pdpbox from xgboost import XGBClassifier, XGBRegressor from lightgbm.sklearn import LGBMClassifier, LGBMRegressor from catboost import CatBoostClassifier, CatBoostRegressor from explainerdashboard.explainers import RegressionExplainer, ClassifierExplainer from explainerdashboard.datasets import titanic_fare, titanic_survive, titanic_names class XGBRegressionTests(unittest.TestCase): def setUp(self): X_train, y_train, X_test, y_test = titanic_fare() self.test_len = len(X_test) train_names, test_names = titanic_names() _, self.names = titanic_names() model = XGBRegressor() model.fit(X_train, y_train) self.explainer = RegressionExplainer(model, X_test, y_test, cats=[{'Gender': ['Sex_female', 'Sex_male', 'Sex_nan']}, 'Deck', 'Embarked'], units="$") def test_preds(self): self.assertIsInstance(self.explainer.preds, np.ndarray) def test_permutation_importances(self): self.assertIsInstance(self.explainer.permutation_importances, pd.DataFrame) self.assertIsInstance(self.explainer.permutation_importances_cats, pd.DataFrame) def test_shap_base_value(self): self.assertIsInstance(self.explainer.shap_base_value, (np.floating, float)) def test_shap_values_shape(self): self.assertTrue(self.explainer.shap_values.shape == (len(self.explainer), len(self.explainer.columns))) def test_shap_values(self): self.assertIsInstance(self.explainer.shap_values, np.ndarray) self.assertIsInstance(self.explainer.shap_values_cats, np.ndarray) # @unittest.expectedFailure # def test_shap_interaction_values(self): # self.assertIsInstance(self.explainer.shap_interaction_values, np.ndarray) # self.assertIsInstance(self.explainer.shap_interaction_values_cats, np.ndarray) def test_mean_abs_shap(self): self.assertIsInstance(self.explainer.mean_abs_shap, pd.DataFrame) self.assertIsInstance(self.explainer.mean_abs_shap_cats, pd.DataFrame) def test_calculate_properties(self): self.explainer.calculate_properties(include_interactions=False) def test_pdp_result(self): self.assertIsInstance(self.explainer.get_pdp_result("Age"), pdpbox.pdp.PDPIsolate) self.assertIsInstance(self.explainer.get_pdp_result("Gender"), pdpbox.pdp.PDPIsolate) self.assertIsInstance(self.explainer.get_pdp_result("Deck"), pdpbox.pdp.PDPIsolate) self.assertIsInstance(self.explainer.get_pdp_result("Age", index=0), pdpbox.pdp.PDPIsolate) self.assertIsInstance(self.explainer.get_pdp_result("Gender", index=0), pdpbox.pdp.PDPIsolate) class LGBMRegressionTests(unittest.TestCase): def setUp(self): X_train, y_train, X_test, y_test = titanic_fare() self.test_len = len(X_test) train_names, test_names = titanic_names() _, self.names = titanic_names() model = LGBMRegressor() model.fit(X_train, y_train) self.explainer = RegressionExplainer(model, X_test, y_test, r2_score, shap='tree', cats=[{'Gender': ['Sex_female', 'Sex_male', 'Sex_nan']}, 'Deck', 'Embarked'], idxs=test_names, units="$") def test_preds(self): self.assertIsInstance(self.explainer.preds, np.ndarray) def test_permutation_importances(self): self.assertIsInstance(self.explainer.permutation_importances, pd.DataFrame) self.assertIsInstance(self.explainer.permutation_importances_cats, pd.DataFrame) def test_shap_base_value(self): self.assertIsInstance(self.explainer.shap_base_value, (np.floating, float)) def test_shap_values_shape(self): self.assertTrue(self.explainer.shap_values.shape == (len(self.explainer), len(self.explainer.columns))) def test_shap_values(self): self.assertIsInstance(self.explainer.shap_values, np.ndarray) self.assertIsInstance(self.explainer.shap_values_cats, np.ndarray) # def test_shap_interaction_values(self): # self.assertIsInstance(self.explainer.shap_interaction_values, np.ndarray) # self.assertIsInstance(self.explainer.shap_interaction_values_cats, np.ndarray) def test_mean_abs_shap(self): self.assertIsInstance(self.explainer.mean_abs_shap, pd.DataFrame) self.assertIsInstance(self.explainer.mean_abs_shap_cats, pd.DataFrame) def test_calculate_properties(self): self.explainer.calculate_properties(include_interactions=True) def test_pdp_result(self): self.assertIsInstance(self.explainer.get_pdp_result("Age"), pdpbox.pdp.PDPIsolate) self.assertIsInstance(self.explainer.get_pdp_result("Gender"), pdpbox.pdp.PDPIsolate) self.assertIsInstance(self.explainer.get_pdp_result("Age", index=0), pdpbox.pdp.PDPIsolate) self.assertIsInstance(self.explainer.get_pdp_result("Gender", index=0), pdpbox.pdp.PDPIsolate) class CatBoostRegressionTests(unittest.TestCase): def setUp(self): X_train, y_train, X_test, y_test = titanic_fare() self.test_len = len(X_test) train_names, test_names = titanic_names() _, self.names = titanic_names() model = CatBoostRegressor(iterations=100, learning_rate=0.1, verbose=0) model.fit(X_train, y_train) self.explainer = RegressionExplainer(model, X_test, y_test, r2_score, cats=[{'Gender': ['Sex_female', 'Sex_male', 'Sex_nan']}, 'Deck', 'Embarked'], idxs=test_names, units="$") def test_preds(self): self.assertIsInstance(self.explainer.preds, np.ndarray) def test_permutation_importances(self): self.assertIsInstance(self.explainer.permutation_importances, pd.DataFrame) self.assertIsInstance(self.explainer.permutation_importances_cats, pd.DataFrame) def test_shap_base_value(self): self.assertIsInstance(self.explainer.shap_base_value, (np.floating, float)) def test_shap_values_shape(self): self.assertTrue(self.explainer.shap_values.shape == (len(self.explainer), len(self.explainer.columns))) def test_shap_values(self): self.assertIsInstance(self.explainer.shap_values, np.ndarray) self.assertIsInstance(self.explainer.shap_values_cats, np.ndarray) # @unittest.expectedFailure # def test_shap_interaction_values(self): # self.assertIsInstance(self.explainer.shap_interaction_values, np.ndarray) # self.assertIsInstance(self.explainer.shap_interaction_values_cats, np.ndarray) def test_mean_abs_shap(self): self.assertIsInstance(self.explainer.mean_abs_shap, pd.DataFrame) self.assertIsInstance(self.explainer.mean_abs_shap_cats, pd.DataFrame) def test_calculate_properties(self): self.explainer.calculate_properties(include_interactions=False) def test_pdp_result(self): self.assertIsInstance(self.explainer.get_pdp_result("Age"), pdpbox.pdp.PDPIsolate) self.assertIsInstance(self.explainer.get_pdp_result("Gender"), pdpbox.pdp.PDPIsolate) self.assertIsInstance(self.explainer.get_pdp_result("Deck"), pdpbox.pdp.PDPIsolate) self.assertIsInstance(self.explainer.get_pdp_result("Age", index=0), pdpbox.pdp.PDPIsolate) self.assertIsInstance(self.explainer.get_pdp_result("Gender", index=0), pdpbox.pdp.PDPIsolate) class XGBCLassifierTests(unittest.TestCase): def setUp(self): X_train, y_train, X_test, y_test = titanic_survive() train_names, test_names = titanic_names() model = XGBClassifier() model.fit(X_train, y_train) self.explainer = ClassifierExplainer( model, X_test, y_test, cats=[{'Gender': ['Sex_female', 'Sex_male', 'Sex_nan']}, 'Deck', 'Embarked'], labels=['Not survived', 'Survived']) def test_preds(self): self.assertIsInstance(self.explainer.preds, np.ndarray) def test_pred_probas(self): self.assertIsInstance(self.explainer.pred_probas, np.ndarray) def test_permutation_importances(self): self.assertIsInstance(self.explainer.permutation_importances, pd.DataFrame) self.assertIsInstance(self.explainer.permutation_importances_cats, pd.DataFrame) def test_shap_base_value(self): self.assertIsInstance(self.explainer.shap_base_value, (np.floating, float)) def test_shap_values_shape(self): self.assertTrue(self.explainer.shap_values.shape == (len(self.explainer), len(self.explainer.columns))) def test_shap_values(self): self.assertIsInstance(self.explainer.shap_values, np.ndarray) self.assertIsInstance(self.explainer.shap_values_cats, np.ndarray) def test_shap_values_all_probabilities(self): self.assertTrue(self.explainer.shap_base_value >= 0) self.assertTrue(self.explainer.shap_base_value <= 1) self.assertTrue(np.all(self.explainer.shap_values.sum(axis=1) + self.explainer.shap_base_value >= 0)) self.assertTrue(np.all(self.explainer.shap_values.sum(axis=1) + self.explainer.shap_base_value <= 1)) # def test_shap_interaction_values(self): # self.assertIsInstance(self.explainer.shap_interaction_values, np.ndarray) # self.assertIsInstance(self.explainer.shap_interaction_values_cats, np.ndarray) def test_mean_abs_shap(self): self.assertIsInstance(self.explainer.mean_abs_shap, pd.DataFrame) self.assertIsInstance(self.explainer.mean_abs_shap_cats, pd.DataFrame) def test_calculate_properties(self): self.explainer.calculate_properties(include_interactions=False) def test_pdp_result(self): self.assertIsInstance(self.explainer.get_pdp_result("Age"), pdpbox.pdp.PDPIsolate) self.assertIsInstance(self.explainer.get_pdp_result("Gender"), pdpbox.pdp.PDPIsolate) self.assertIsInstance(self.explainer.get_pdp_result("Age", index=0), pdpbox.pdp.PDPIsolate) self.assertIsInstance(self.explainer.get_pdp_result("Gender", index=0), pdpbox.pdp.PDPIsolate) def test_metrics(self): self.assertIsInstance(self.explainer.metrics(), dict) self.assertIsInstance(self.explainer.metrics(cutoff=0.9), dict) def test_precision_df(self): self.assertIsInstance(self.explainer.precision_df(), pd.DataFrame) self.assertIsInstance(self.explainer.precision_df(multiclass=True), pd.DataFrame) self.assertIsInstance(self.explainer.precision_df(quantiles=4), pd.DataFrame) def test_lift_curve_df(self): self.assertIsInstance(self.explainer.lift_curve_df(), pd.DataFrame) def test_prediction_result_markdown(self): self.assertIsInstance(self.explainer.prediction_result_markdown(0), str) class LGBMClassifierTests(unittest.TestCase): def setUp(self): X_train, y_train, X_test, y_test = titanic_survive() train_names, test_names = titanic_names() model = LGBMClassifier() model.fit(X_train, y_train) self.explainer = ClassifierExplainer( model, X_test, y_test, roc_auc_score, cats=[{'Gender': ['Sex_female', 'Sex_male', 'Sex_nan']}, 'Deck', 'Embarked'], labels=['Not survived', 'Survived'], idxs=test_names) def test_preds(self): self.assertIsInstance(self.explainer.preds, np.ndarray) def test_pred_probas(self): self.assertIsInstance(self.explainer.pred_probas, np.ndarray) def test_permutation_importances(self): self.assertIsInstance(self.explainer.permutation_importances, pd.DataFrame) self.assertIsInstance(self.explainer.permutation_importances_cats, pd.DataFrame) def test_shap_base_value(self): self.assertIsInstance(self.explainer.shap_base_value, (np.floating, float)) def test_shap_values_shape(self): self.assertTrue(self.explainer.shap_values.shape == (len(self.explainer), len(self.explainer.columns))) def test_shap_values(self): self.assertIsInstance(self.explainer.shap_values, np.ndarray) self.assertIsInstance(self.explainer.shap_values_cats, np.ndarray) # @unittest.expectedFailure # def test_shap_interaction_values(self): # self.assertIsInstance(self.explainer.shap_interaction_values, np.ndarray) # self.assertIsInstance(self.explainer.shap_interaction_values_cats, np.ndarray) def test_shap_values_all_probabilities(self): self.assertTrue(self.explainer.shap_base_value >= 0) self.assertTrue(self.explainer.shap_base_value <= 1) self.assertTrue(np.all(self.explainer.shap_values.sum(axis=1) + self.explainer.shap_base_value >= 0)) self.assertTrue(np.all(self.explainer.shap_values.sum(axis=1) + self.explainer.shap_base_value <= 1)) def test_mean_abs_shap(self): self.assertIsInstance(self.explainer.mean_abs_shap, pd.DataFrame) self.assertIsInstance(self.explainer.mean_abs_shap_cats, pd.DataFrame) def test_calculate_properties(self): self.explainer.calculate_properties(include_interactions=False) def test_pdp_result(self): self.assertIsInstance(self.explainer.get_pdp_result("Age"), pdpbox.pdp.PDPIsolate) self.assertIsInstance(self.explainer.get_pdp_result("Gender"), pdpbox.pdp.PDPIsolate) self.assertIsInstance(self.explainer.get_pdp_result("Age", index=0), pdpbox.pdp.PDPIsolate) self.assertIsInstance(self.explainer.get_pdp_result("Gender", index=0), pdpbox.pdp.PDPIsolate) def test_metrics(self): self.assertIsInstance(self.explainer.metrics(), dict) self.assertIsInstance(self.explainer.metrics(cutoff=0.9), dict) def test_precision_df(self): self.assertIsInstance(self.explainer.precision_df(), pd.DataFrame) self.assertIsInstance(self.explainer.precision_df(multiclass=True), pd.DataFrame) self.assertIsInstance(self.explainer.precision_df(quantiles=4), pd.DataFrame) def test_lift_curve_df(self): self.assertIsInstance(self.explainer.lift_curve_df(), pd.DataFrame) def test_prediction_result_markdown(self): self.assertIsInstance(self.explainer.prediction_result_markdown(0), str) class CatBoostClassifierTests(unittest.TestCase): def setUp(self): X_train, y_train, X_test, y_test = titanic_survive() train_names, test_names = titanic_names() model = CatBoostClassifier(iterations=100, learning_rate=0.1, verbose=0) model.fit(X_train, y_train) self.explainer = ClassifierExplainer( model, X_test, y_test, roc_auc_score, cats=[{'Gender': ['Sex_female', 'Sex_male', 'Sex_nan']}, 'Deck', 'Embarked'], labels=['Not survived', 'Survived'], idxs=test_names) def test_preds(self): self.assertIsInstance(self.explainer.preds, np.ndarray) def test_pred_probas(self): self.assertIsInstance(self.explainer.pred_probas, np.ndarray) def test_permutation_importances(self): self.assertIsInstance(self.explainer.permutation_importances, pd.DataFrame) self.assertIsInstance(self.explainer.permutation_importances_cats, pd.DataFrame) def test_shap_base_value(self): self.assertIsInstance(self.explainer.shap_base_value, (np.floating, float)) def test_shap_values_all_probabilities(self): self.assertTrue(self.explainer.shap_base_value >= 0) self.assertTrue(self.explainer.shap_base_value <= 1) self.assertTrue(np.all(self.explainer.shap_values.sum(axis=1) + self.explainer.shap_base_value >= 0)) self.assertTrue(np.all(self.explainer.shap_values.sum(axis=1) + self.explainer.shap_base_value <= 1)) def test_shap_values_shape(self): self.assertTrue(self.explainer.shap_values.shape == (len(self.explainer), len(self.explainer.columns))) def test_shap_values(self): self.assertIsInstance(self.explainer.shap_values, np.ndarray) self.assertIsInstance(self.explainer.shap_values_cats, np.ndarray) # @unittest.expectedFailure # def test_shap_interaction_values(self): # self.assertIsInstance(self.explainer.shap_interaction_values, np.ndarray) # self.assertIsInstance(self.explainer.shap_interaction_values_cats, np.ndarray) def test_mean_abs_shap(self): self.assertIsInstance(self.explainer.mean_abs_shap, pd.DataFrame) self.assertIsInstance(self.explainer.mean_abs_shap_cats, pd.DataFrame) def test_calculate_properties(self): self.explainer.calculate_properties(include_interactions=False) def test_pdp_result(self): self.assertIsInstance(self.explainer.get_pdp_result("Age"), pdpbox.pdp.PDPIsolate) self.assertIsInstance(self.explainer.get_pdp_result("Gender"), pdpbox.pdp.PDPIsolate) self.assertIsInstance(self.explainer.get_pdp_result("Age", index=0), pdpbox.pdp.PDPIsolate) self.assertIsInstance(self.explainer.get_pdp_result("Gender", index=0), pdpbox.pdp.PDPIsolate) def test_metrics(self): self.assertIsInstance(self.explainer.metrics(), dict) self.assertIsInstance(self.explainer.metrics(cutoff=0.9), dict) def test_precision_df(self): self.assertIsInstance(self.explainer.precision_df(), pd.DataFrame) self.assertIsInstance(self.explainer.precision_df(multiclass=True), pd.DataFrame) self.assertIsInstance(self.explainer.precision_df(quantiles=4), pd.DataFrame) def test_lift_curve_df(self): self.assertIsInstance(self.explainer.lift_curve_df(), pd.DataFrame) def test_prediction_result_markdown(self): self.assertIsInstance(self.explainer.prediction_result_markdown(0), str)

46.589873

111

0.706678

2,154

18,403

5.7948

0.057103

0.164557

0.211505

0.290819

0.950409

0

0.003811

0.187198

18,403

395

112

46.589873

0.830659

0.07113

0

0.896296

0

0.025832

0

0.42963

1

0.266667

false

0

0.103704

0

0.392593

0

null

0

1

0

1

0

null

0

1

0

1

0

11

55c32a12de0dd13cce9e4246951ea2023f925da2

16,268

py

Python

cache.py

DomDellaSera/proteome_analysis

9fd32f4c0a097bc0820c9fd996ed4aa40ffe11f6

[ "MIT" ]

1

2017-03-06T15:51:54.000Z

cache.py

DomDellaSera/proteome_analysis

9fd32f4c0a097bc0820c9fd996ed4aa40ffe11f6

[ "MIT" ]

null

cache.py

DomDellaSera/proteome_analysis

9fd32f4c0a097bc0820c9fd996ed4aa40ffe11f6

[ "MIT" ]

null

# # # #This file is redundant and it is made to be so. These functions serve as # cached constants that are called by unittests.py. def getPandaRow(): import numpy as np row = np.array([[1, 100.0, 'A8NJZ7', 1, 1, 122]], dtype=object) return(row) def getHeaders(): headers = ['>sp|P90689|ACT_BRUMA Actin OS=Brugia malayi PE=1 SV=1', '>sp|A8Q3T2|ASNA_BRUMA ATPase ASNA1 homolog OS=Brugia malayi GN=Bm1_42140 PE=3 SV=1', '>sp|A8PWB6|BOP1_BRUMA Ribosome biogenesis protein BOP1 homolog OS=Brugia malayi GN=Bm1_36175 PE=3 SV=1', '>sp|P29030|CHIT_BRUMA Endochitinase OS=Brugia malayi PE=1 SV=1', '>sp|A8PB32|CLP1_BRUMA Protein CLP1 homolog OS=Brugia malayi GN=Bm1_20975 PE=3 SV=1', '>sp|A8PJX4|CLU_BRUMA Clustered mitochondria protein homolog OS=Brugia malayi GN=Bm1_28595 PE=3 SV=2', '>sp|A8QFY9|DDRGK_BRUMA DDRGK domain-containing protein 1 OS=Brugia malayi GN=Bm1_54325 PE=3 SV=1', '>sp|Q27450|CYP1_BRUMA Peptidyl-prolyl cis-trans isomerase 1 OS=Brugia malayi GN=CYP-1 PE=1 SV=1', '>sp|A8QBB1|DRE2_BRUMA Anamorsin homolog OS=Brugia malayi GN=Bm1_48140 PE=3 SV=1', '>sp|A8QDN3|EIF3K_BRUMA Eukaryotic translation initiation factor 3 subunit K OS=Brugia malayi GN=Bm1_52955 PE=3 SV=1', '>sp|A8PHP4|EIF3L_BRUMA Eukaryotic translation initiation factor 3 subunit L OS=Brugia malayi GN=Bm1_25770 PE=3 SV=1', '>sp|A8QE76|EFTS_BRUMA Elongation factor Ts, mitochondrial OS=Brugia malayi GN=Bm1_50845 PE=3 SV=1', '>sp|A8PKH2|EIF3A_BRUMA Eukaryotic translation initiation factor 3 subunit A OS=Brugia malayi GN=Bm1_29045 PE=3 SV=1', '>sp|A8NY27|EIF3E_BRUMA Eukaryotic translation initiation factor 3 subunit E OS=Brugia malayi GN=Bm1_11985 PE=3 SV=2', '>sp|A8NS61|EIF3G_BRUMA Eukaryotic translation initiation factor 3 subunit G OS=Brugia malayi GN=Bm1_08615 PE=3 SV=1', '>sp|A8QCY3|EIF3H_BRUMA Eukaryotic translation initiation factor 3 subunit H OS=Brugia malayi GN=Bm1_50170 PE=3 SV=1', '>sp|A8QBF3|EIF3I_BRUMA Eukaryotic translation initiation factor 3 subunit I OS=Brugia malayi GN=Bm1_48300 PE=3 SV=1', '>sp|Q4VWF8|GPMI_BRUMA 2,3-bisphosphoglycerate-independent phosphoglycerate mutase OS=Brugia malayi GN=ipgm-1 PE=1 SV=1', '>sp|P67877|GPXC_BRUMA Cuticular glutathione peroxidase OS=Brugia malayi PE=1 SV=1', '>sp|A8NS89|GOB1_BRUMA Trehalose-phosphatase OS=Brugia malayi GN=Bm1_08695 PE=1 SV=1', '>sp|A8QCH0|FEN1_BRUMA Flap endonuclease 1 OS=Brugia malayi GN=FEN1 PE=3 SV=1', '>sp|Q93142|FAR1_BRUMA Fatty-acid and retinol-binding protein 1 OS=Brugia malayi GN=far-1 PE=1 SV=1', '>sp|A8QGZ7|FBSP1_BRUMA F-box/SPRY domain-containing protein 1 OS=Brugia malayi GN=Bm1_56115 PE=3 SV=1', '>sp|P48812|G3P_BRUMA Glyceraldehyde-3-phosphate dehydrogenase OS=Brugia malayi GN=G3PD PE=1 SV=1', '>sp|A8PJJ2|GATC_BRUMA Glutamyl-tRNA(Gln) amidotransferase subunit C, mitochondrial OS=Brugia malayi GN=Bm1_27920 PE=3 SV=1', '>sp|A8QCE7|GUF1_BRUMA Translation factor GUF1 homolog, mitochondrial OS=Brugia malayi GN=Bm1_49530 PE=3 SV=1', '>sp|P27541|HSP70_BRUMA Heat shock 70 kDa protein OS=Brugia malayi GN=HSP70 PE=3 SV=1', '>sp|A0A0K0JFP3|HXK_BRUMA Hexokinase OS=Brugia malayi GN=Bm4678 PE=1 SV=1', '>sp|A8PGQ3|NARF_BRUMA Probable cytosolic Fe-S cluster assembly factor Bm1_25010 OS=Brugia malayi GN=Bm1_25010 PE=3 SV=1', '>sp|Q01202|MYSP_BRUMA Paramyosin OS=Brugia malayi PE=2 SV=2', '>sp|P48817|NDK_BRUMA Nucleoside diphosphate kinase OS=Brugia malayi GN=NDK PE=2 SV=1', '>sp|A8PV03|SLX1_BRUMA Structure-specific endonuclease subunit SLX1 homolog OS=Brugia malayi GN=Bm1_35165 PE=3 SV=1', '>sp|A8QFF6|SPAST_BRUMA Probable spastin homolog Bm1_53365 OS=Brugia malayi GN=Bm1_53365 PE=3 SV=1', '>sp|A8NJZ7|SCOC_BRUMA Short coiled-coil protein homolog OS=Brugia malayi GN=Bm1_04115 PE=3 SV=1', '>sp|P90703|RLA2_BRUMA 60S acidic ribosomal protein P2 OS=Brugia malayi GN=rpp-2 PE=3 SV=1', '>sp|P90707|RS23_BRUMA 40S ribosomal protein S23 OS=Brugia malayi GN=rps-23 PE=2 SV=1', '>sp|A8PJ38|RS3A_BRUMA 40S ribosomal protein S3a OS=Brugia malayi GN=Bm1_27225 PE=3 SV=1', '>sp|A8Q2H5|RSSA_BRUMA 40S ribosomal protein SA OS=Brugia malayi GN=Bm1_41245 PE=3 SV=2', '>sp|A8QC60|RTCB_BRUMA tRNA-splicing ligase RtcB homolog OS=Brugia malayi GN=Bm1_49220 PE=3 SV=1', '>sp|P90697|TCTP_BRUMA Translationally-controlled tumor protein homolog OS=Brugia malayi PE=2 SV=1', '>sp|P48822|TDX1_BRUMA Thioredoxin peroxidase 1 OS=Brugia malayi GN=TSA1 PE=2 SV=1', '>sp|Q17172|TDX2_BRUMA Thioredoxin peroxidase 2 OS=Brugia malayi GN=tsa-2 PE=2 SV=2', '>sp|P10723|SYNC_BRUMA Asparagine--tRNA ligase, cytoplasmic OS=Brugia malayi PE=1 SV=1', '>sp|Q9Y193|TIM13_BRUMA Mitochondrial import inner membrane translocase subunit Tim13 OS=Brugia malayi GN=TIM13 PE=3 SV=1', '>sp|A8NFF0|TRMB_BRUMA tRNA (guanine-N(7)-)-methyltransferase OS=Brugia malayi GN=Bm1_01445 PE=3 SV=1', '>sp|A8Q8J2|UFC1_BRUMA Ubiquitin-fold modifier-conjugating enzyme 1 OS=Brugia malayi GN=Bm1_46190 PE=3 SV=1', '>sp|A8Q8M5|UFM1_BRUMA Ubiquitin-fold modifier 1 OS=Brugia malayi GN=Bm1_46275 PE=3 SV=1', '>sp|A8Q2R5|WDR48_BRUMA WD repeat-containing protein 48 homolog OS=Brugia malayi GN=Bm1_41555 PE=3 SV=2', '>sp|Q17162|VINC_BRUMA Vinculin OS=Brugia malayi PE=2 SV=1', '>sp|A8QB65|WDR12_BRUMA Ribosome biogenesis protein WDR12 homolog OS=Brugia malayi GN=Bm1_47965 PE=3 SV=1', '>sp|O77049|JTB_BRUMA Protein JTB OS=Brugia malayi GN=JTB PE=2 SV=1', '>sp|A8PF69|LIAS_BRUMA Lipoyl synthase, mitochondrial OS=Brugia malayi GN=Bm1_23910 PE=3 SV=1', '>sp|A8QCE4|LST2_BRUMA Lateral signaling target protein 2 homolog OS=Brugia malayi GN=Bm1_49520 PE=3 SV=1', '>sp|P91850|MIFH_BRUMA Macrophage migration inhibitory factor homolog OS=Brugia malayi GN=Bm1_28435 PE=3 SV=4', '>sp|A8PW87|NUBP1_BRUMA Cytosolic Fe-S cluster assembly factor NUBP1 homolog OS=Brugia malayi GN=Bm1_36105 PE=3 SV=1', '>sp|A8QFQ3|NO66_BRUMA Bifunctional lysine-specific demethylase and histidyl-hydroxylase NO66 OS=Brugia malayi GN=Bm1_53875 PE=3 SV=1', '>sp|A8QHQ0|PESC_BRUMA Pescadillo homolog OS=Brugia malayi GN=Bm1_57380 PE=3 SV=2', '>sp|Q8IHI1|PSF2_BRUMA Probable DNA replication complex GINS protein PSF2 OS=Brugia malayi GN=BMBAC01P19.06 PE=3 SV=1', '>sp|A8QE42|PURA_BRUMA Adenylosuccinate synthetase OS=Brugia malayi GN=Bm1_50695 PE=3 SV=1', '>sp|P38542|RAN_BRUMA GTP-binding nuclear protein Ran OS=Brugia malayi GN=Bm1_44725 PE=2 SV=2', '>sp|Q93140|RL23_BRUMA 60S ribosomal protein L23 OS=Brugia malayi GN=RPL23 PE=2 SV=1', '>sp|P90702|RL44_BRUMA 60S ribosomal protein L44 OS=Brugia malayi GN=rpl-44 PE=3 SV=3', '>sp|A8P7J8|U518_BRUMA UPF0518 protein Bm1_18400 OS=Brugia malayi GN=Bm1_18400 PE=3 SV=1', '>sp|A8NJ91|U729_BRUMA UPF0729 protein Bm1_03610 OS=Brugia malayi GN=Bm1_03610 PE=3 SV=1'] return(headers) def subsetted_Headers(): headers = [['P90689', 'Actin', 'NaGN'], ['A8Q3T2', 'ATPase ASNA1 homolog', 'Bm1_42140'], ['A8PWB6', 'Ribosome biogenesis protein BOP1 homolog', 'Bm1_36175'], ['P29030', 'Endochitinase', 'NaGN'], ['A8PB32', 'Protein CLP1 homolog', 'Bm1_20975'], ['A8PJX4', 'Clustered mitochondria protein homolog', 'Bm1_28595'], ['A8QFY9', 'DDRGK domain-containing protein 1', 'Bm1_54325'], ['Q27450', 'Peptidyl-prolyl cis-trans isomerase 1', 'CYP-1'], ['A8QBB1', 'Anamorsin homolog', 'Bm1_48140'], ['A8QDN3', 'Eukaryotic translation initiation factor 3 subunit K', 'Bm1_52955'], ['A8PHP4', 'Eukaryotic translation initiation factor 3 subunit L', 'Bm1_25770'], ['A8QE76', 'Elongation factor Ts, mitochondrial', 'Bm1_50845'], ['A8PKH2', 'Eukaryotic translation initiation factor 3 subunit A', 'Bm1_29045'], ['A8NY27', 'Eukaryotic translation initiation factor 3 subunit E', 'Bm1_11985'], ['A8NS61', 'Eukaryotic translation initiation factor 3 subunit G', 'Bm1_08615'], ['A8QCY3', 'Eukaryotic translation initiation factor 3 subunit H', 'Bm1_50170'], ['A8QBF3', 'Eukaryotic translation initiation factor 3 subunit I', 'Bm1_48300'], ['Q4VWF8', '2,3-bisphosphoglycerate-independent phosphoglycerate mutase', 'ipgm-1'], ['P67877', 'Cuticular glutathione peroxidase', 'NaGN'], ['A8NS89', 'Trehalose-phosphatase', 'Bm1_08695'], ['A8QCH0', 'Flap endonuclease 1', 'FEN1'], ['Q93142', 'Fatty-acid and retinol-binding protein 1', 'far-1'], ['A8QGZ7', 'F-box/SPRY domain-containing protein 1', 'Bm1_56115'], ['P48812', 'Glyceraldehyde-3-phosphate dehydrogenase', 'G3PD'], ['A8PJJ2', 'Glutamyl-tRNA(Gln) amidotransferase subunit C, mitochondrial', 'Bm1_27920'], ['A8QCE7', 'Translation factor GUF1 homolog, mitochondrial', 'Bm1_49530'], ['P27541', 'Heat shock 70 kDa protein', 'HSP70'], ['A0A0K0JFP3', 'Hexokinase', 'Bm4678'], ['A8PGQ3', 'Probable cytosolic Fe-S cluster assembly factor Bm1_25010', 'Bm1_25010'], ['Q01202', 'Paramyosin', 'NaGN'], ['P48817', 'Nucleoside diphosphate kinase', 'NDK'], ['A8PV03', 'Structure-specific endonuclease subunit SLX1 homolog', 'Bm1_35165'], ['A8QFF6', 'Probable spastin homolog Bm1_53365', 'Bm1_53365'], ['A8NJZ7', 'Short coiled-coil protein homolog', 'Bm1_04115'], ['P90703', '60S acidic ribosomal protein P2', 'rpp-2'], ['P90707', '40S ribosomal protein S23', 'rps-23'], ['A8PJ38', '40S ribosomal protein S3a', 'Bm1_27225'], ['A8Q2H5', '40S ribosomal protein SA', 'Bm1_41245'], ['A8QC60', 'tRNA-splicing ligase RtcB homolog', 'Bm1_49220'], ['P90697', 'Translationally-controlled tumor protein homolog', 'NaGN'], ['P48822', 'Thioredoxin peroxidase 1', 'TSA1'], ['Q17172', 'Thioredoxin peroxidase 2', 'tsa-2'], ['P10723', 'Asparagine--tRNA ligase, cytoplasmic', 'NaGN'], ['Q9Y193', 'Mitochondrial import inner membrane translocase subunit Tim13', 'TIM13'], ['A8NFF0', 'tRNA (guanine-N(7)-)-methyltransferase', 'Bm1_01445'], ['A8Q8J2', 'Ubiquitin-fold modifier-conjugating enzyme 1', 'Bm1_46190'], ['A8Q8M5', 'Ubiquitin-fold modifier 1', 'Bm1_46275'], ['A8Q2R5', 'WD repeat-containing protein 48 homolog', 'Bm1_41555'], ['Q17162', 'Vinculin', 'NaGN'], ['A8QB65', 'Ribosome biogenesis protein WDR12 homolog', 'Bm1_47965'], ['O77049', 'Protein JTB', 'JTB'], ['A8PF69', 'Lipoyl synthase, mitochondrial', 'Bm1_23910'], ['A8QCE4', 'Lateral signaling target protein 2 homolog', 'Bm1_49520'], ['P91850', 'Macrophage migration inhibitory factor homolog', 'Bm1_28435'], ['A8PW87', 'Cytosolic Fe-S cluster assembly factor NUBP1 homolog', 'Bm1_36105'], ['A8QFQ3', 'Bifunctional lysine-specific demethylase and histidyl-hydroxylase NO66', 'Bm1_53875'], ['A8QHQ0', 'Pescadillo homolog', 'Bm1_57380'], ['Q8IHI1', 'Probable DNA replication complex GINS protein PSF2', 'BMBAC01P19.06'], ['A8QE42', 'Adenylosuccinate synthetase', 'Bm1_50695'], ['P38542', 'GTP-binding nuclear protein Ran', 'Bm1_44725'], ['Q93140', '60S ribosomal protein L23', 'RPL23'], ['P90702', '60S ribosomal protein L44', 'rpl-44'], ['A8P7J8', 'UPF0518 protein Bm1_18400', 'Bm1_18400'], ['A8NJ91', 'UPF0729 protein Bm1_03610', 'Bm1_03610']] return(headers) def truncated_Headers(): truncated_Headers = ['Actin OS=Brugia malayi PE=1 SV=1', ' ATPase ASNA1 homolog OS=Brugia malayi GN=Bm1_42140 PE=3 SV=1', ' Ribosome biogenesis protein BOP1 homolog OS=Brugia malayi GN=Bm1_36175 PE=3 SV=1', ' Endochitinase OS=Brugia malayi PE=1 SV=1', ' Protein CLP1 homolog OS=Brugia malayi GN=Bm1_20975 PE=3 SV=1', 'Clustered mitochondria protein homolog OS=Brugia malayi GN=Bm1_28595 PE=3 SV=2', 'A DDRGK domain-containing protein 1 OS=Brugia malayi GN=Bm1_54325 PE=3 SV=1', ' Peptidyl-prolyl cis-trans isomerase 1 OS=Brugia malayi GN=CYP-1 PE=1 SV=1', ' Anamorsin homolog OS=Brugia malayi GN=Bm1_48140 PE=3 SV=1', 'A Eukaryotic translation initiation factor 3 subunit K OS=Brugia malayi GN=Bm1_52955 PE=3 SV=1', 'A Eukaryotic translation initiation factor 3 subunit L OS=Brugia malayi GN=Bm1_25770 PE=3 SV=1', ' Elongation factor Ts, mitochondrial OS=Brugia malayi GN=Bm1_50845 PE=3 SV=1', 'A Eukaryotic translation initiation factor 3 subunit A OS=Brugia malayi GN=Bm1_29045 PE=3 SV=1', 'A Eukaryotic translation initiation factor 3 subunit E OS=Brugia malayi GN=Bm1_11985 PE=3 SV=2', 'A Eukaryotic translation initiation factor 3 subunit G OS=Brugia malayi GN=Bm1_08615 PE=3 SV=1', 'A Eukaryotic translation initiation factor 3 subunit H OS=Brugia malayi GN=Bm1_50170 PE=3 SV=1', 'A Eukaryotic translation initiation factor 3 subunit I OS=Brugia malayi GN=Bm1_48300 PE=3 SV=1', ' 2,3-bisphosphoglycerate-independent phosphoglycerate mutase OS=Brugia malayi GN=ipgm-1 PE=1 SV=1', ' Cuticular glutathione peroxidase OS=Brugia malayi PE=1 SV=1', ' Trehalose-phosphatase OS=Brugia malayi GN=Bm1_08695 PE=1 SV=1', ' Flap endonuclease 1 OS=Brugia malayi GN=FEN1 PE=3 SV=1', ' Fatty-acid and retinol-binding protein 1 OS=Brugia malayi GN=far-1 PE=1 SV=1', 'A F-box/SPRY domain-containing protein 1 OS=Brugia malayi GN=Bm1_56115 PE=3 SV=1', 'Glyceraldehyde-3-phosphate dehydrogenase OS=Brugia malayi GN=G3PD PE=1 SV=1', ' Glutamyl-tRNA(Gln) amidotransferase subunit C, mitochondrial OS=Brugia malayi GN=Bm1_27920 PE=3 SV=1', ' Translation factor GUF1 homolog, mitochondrial OS=Brugia malayi GN=Bm1_49530 PE=3 SV=1', 'A Heat shock 70 kDa protein OS=Brugia malayi GN=HSP70 PE=3 SV=1', 'UMA Hexokinase OS=Brugia malayi GN=Bm4678 PE=1 SV=1', ' Probable cytosolic Fe-S cluster assembly factor Bm1_25010 OS=Brugia malayi GN=Bm1_25010 PE=3 SV=1', ' Paramyosin OS=Brugia malayi PE=2 SV=2', 'Nucleoside diphosphate kinase OS=Brugia malayi GN=NDK PE=2 SV=1', ' Structure-specific endonuclease subunit SLX1 homolog OS=Brugia malayi GN=Bm1_35165 PE=3 SV=1', 'A Probable spastin homolog Bm1_53365 OS=Brugia malayi GN=Bm1_53365 PE=3 SV=1', ' Short coiled-coil protein homolog OS=Brugia malayi GN=Bm1_04115 PE=3 SV=1', ' 60S acidic ribosomal protein P2 OS=Brugia malayi GN=rpp-2 PE=3 SV=1', ' 40S ribosomal protein S23 OS=Brugia malayi GN=rps-23 PE=2 SV=1', ' 40S ribosomal protein S3a OS=Brugia malayi GN=Bm1_27225 PE=3 SV=1', ' 40S ribosomal protein SA OS=Brugia malayi GN=Bm1_41245 PE=3 SV=2', ' tRNA-splicing ligase RtcB homolog OS=Brugia malayi GN=Bm1_49220 PE=3 SV=1', ' Translationally-controlled tumor protein homolog OS=Brugia malayi PE=2 SV=1', ' Thioredoxin peroxidase 1 OS=Brugia malayi GN=TSA1 PE=2 SV=1', ' Thioredoxin peroxidase 2 OS=Brugia malayi GN=tsa-2 PE=2 SV=2', ' Asparagine--tRNA ligase, cytoplasmic OS=Brugia malayi PE=1 SV=1', 'A Mitochondrial import inner membrane translocase subunit Tim13 OS=Brugia malayi GN=TIM13 PE=3 SV=1', ' tRNA (guanine-N(7)-)-methyltransferase OS=Brugia malayi GN=Bm1_01445 PE=3 SV=1', ' Ubiquitin-fold modifier-conjugating enzyme 1 OS=Brugia malayi GN=Bm1_46190 PE=3 SV=1', ' Ubiquitin-fold modifier 1 OS=Brugia malayi GN=Bm1_46275 PE=3 SV=1', 'A WD repeat-containing protein 48 homolog OS=Brugia malayi GN=Bm1_41555 PE=3 SV=2', ' Vinculin OS=Brugia malayi PE=2 SV=1', 'A Ribosome biogenesis protein WDR12 homolog OS=Brugia malayi GN=Bm1_47965 PE=3 SV=1', 'Protein JTB OS=Brugia malayi GN=JTB PE=2 SV=1', ' Lipoyl synthase, mitochondrial OS=Brugia malayi GN=Bm1_23910 PE=3 SV=1', ' Lateral signaling target protein 2 homolog OS=Brugia malayi GN=Bm1_49520 PE=3 SV=1', ' Macrophage migration inhibitory factor homolog OS=Brugia malayi GN=Bm1_28435 PE=3 SV=4', 'A Cytosolic Fe-S cluster assembly factor NUBP1 homolog OS=Brugia malayi GN=Bm1_36105 PE=3 SV=1', ' Bifunctional lysine-specific demethylase and histidyl-hydroxylase NO66 OS=Brugia malayi GN=Bm1_53875 PE=3 SV=1', ' Pescadillo homolog OS=Brugia malayi GN=Bm1_57380 PE=3 SV=2', ' Probable DNA replication complex GINS protein PSF2 OS=Brugia malayi GN=BMBAC01P19.06 PE=3 SV=1', ' Adenylosuccinate synthetase OS=Brugia malayi GN=Bm1_50695 PE=3 SV=1', 'GTP-binding nuclear protein Ran OS=Brugia malayi GN=Bm1_44725 PE=2 SV=2', ' 60S ribosomal protein L23 OS=Brugia malayi GN=RPL23 PE=2 SV=1', ' 60S ribosomal protein L44 OS=Brugia malayi GN=rpl-44 PE=3 SV=3', ' UPF0518 protein Bm1_18400 OS=Brugia malayi GN=Bm1_18400 PE=3 SV=1', ' UPF0729 protein Bm1_03610 OS=Brugia malayi GN=Bm1_03610 PE=3 SV=1'] #truncated_Headers=[x[len('>sp|Q93142|FAR1_BRUMA'):] for x in raw_Headers] #formatted_Headers = [[x[1] for x in raw_Headers]] return(truncated_Headers)

152.037383

6,326

0.742562

2,643

16,268

4.493

0.144154

0.086232

0.150905

0.1536

0.769095

0.721095

0.700126

0.651705

0.622063

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16,268

107

6,327

152.037383

0.713302

0.01506

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1.026316

0.865955

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false

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null

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1

0

1

0

1

0

null

0

7

55e6af3675fbd17e6c8ff6994e16b952df67ecf0

5,428

py

Python

2021/solutions/day11.py

rsizem2/aoc_2020

aa2dbf72a4c44930755bd9cc132ad7854f742f09

[ "MIT" ]

null

2021/solutions/day11.py

rsizem2/aoc_2020

aa2dbf72a4c44930755bd9cc132ad7854f742f09

[ "MIT" ]

null

2021/solutions/day11.py

rsizem2/aoc_2020

aa2dbf72a4c44930755bd9cc132ad7854f742f09

[ "MIT" ]

null

from collections import deque def read_file(test = True): if test: filename = '../tests/day11.txt' else: filename = '../input/day11.txt' with open(filename) as file: temp = list() for line in file: temp.append(list(map(int,list(line.strip())))) return temp def puzzle1(test = True): temp = read_file(test) rows = len(temp) cols = len(temp[0]) flashes = 0 for step in range(100): flashed = set() will_flash = deque() if step < 3: for x in temp: print(*x) print(f'\n{flashes}\n') for i in range(rows): for j in range(cols): temp[i][j] += 1 if temp[i][j] > 9: flashed.add((i,j)) will_flash.append((i,j)) while will_flash: i,j = will_flash.pop() if i > 0: temp[i-1][j] += 1 if temp[i-1][j] > 9 and (i-1,j) not in flashed: will_flash.append((i-1,j)) flashed.add((i-1,j)) if i < rows-1: temp[i+1][j] += 1 if temp[i+1][j] > 9 and (i+1,j) not in flashed: will_flash.append((i+1,j)) flashed.add((i+1,j)) if j > 0: temp[i][j-1] += 1 if temp[i][j-1] > 9 and (i,j-1) not in flashed: will_flash.append((i,j-1)) flashed.add((i,j-1)) if j < cols-1: temp[i][j+1] += 1 if temp[i][j+1] > 9 and (i,j+1) not in flashed: will_flash.append((i,j+1)) flashed.add((i,j+1)) if i > 0 and j > 0: temp[i-1][j-1] += 1 if temp[i-1][j-1] > 9 and (i-1,j-1) not in flashed: will_flash.append((i-1,j-1)) flashed.add((i-1,j-1)) if i > 0 and j < cols-1: temp[i-1][j+1] += 1 if temp[i-1][j+1] > 9 and (i-1,j+1) not in flashed: will_flash.append((i-1,j+1)) flashed.add((i-1,j+1)) if i < rows - 1 and j > 0: temp[i+1][j-1] += 1 if temp[i+1][j-1] > 9 and (i+1,j-1) not in flashed: will_flash.append((i+1,j-1)) flashed.add((i+1,j-1)) if i < rows-1 and j < cols-1: temp[i+1][j+1] += 1 if temp[i+1][j+1] > 9 and (i+1,j+1) not in flashed: will_flash.append((i+1,j+1)) flashed.add((i+1,j+1)) flashes += len(flashed) for i,j in flashed: temp[i][j] = 0 print(flashes) def puzzle2(test = True): temp = read_file(test) temp = read_file(test) rows = len(temp) cols = len(temp[0]) total = rows*cols flashes = 0 for step in range(20000): flashed = set() will_flash = deque() if step < 3: for x in temp: print(*x) print(f'\n{flashes}\n') for i in range(rows): for j in range(cols): temp[i][j] += 1 if temp[i][j] > 9: flashed.add((i,j)) will_flash.append((i,j)) while will_flash: i,j = will_flash.pop() if i > 0: temp[i-1][j] += 1 if temp[i-1][j] > 9 and (i-1,j) not in flashed: will_flash.append((i-1,j)) flashed.add((i-1,j)) if i < rows-1: temp[i+1][j] += 1 if temp[i+1][j] > 9 and (i+1,j) not in flashed: will_flash.append((i+1,j)) flashed.add((i+1,j)) if j > 0: temp[i][j-1] += 1 if temp[i][j-1] > 9 and (i,j-1) not in flashed: will_flash.append((i,j-1)) flashed.add((i,j-1)) if j < cols-1: temp[i][j+1] += 1 if temp[i][j+1] > 9 and (i,j+1) not in flashed: will_flash.append((i,j+1)) flashed.add((i,j+1)) if i > 0 and j > 0: temp[i-1][j-1] += 1 if temp[i-1][j-1] > 9 and (i-1,j-1) not in flashed: will_flash.append((i-1,j-1)) flashed.add((i-1,j-1)) if i > 0 and j < cols-1: temp[i-1][j+1] += 1 if temp[i-1][j+1] > 9 and (i-1,j+1) not in flashed: will_flash.append((i-1,j+1)) flashed.add((i-1,j+1)) if i < rows - 1 and j > 0: temp[i+1][j-1] += 1 if temp[i+1][j-1] > 9 and (i+1,j-1) not in flashed: will_flash.append((i+1,j-1)) flashed.add((i+1,j-1)) if i < rows-1 and j < cols-1: temp[i+1][j+1] += 1 if temp[i+1][j+1] > 9 and (i+1,j+1) not in flashed: will_flash.append((i+1,j+1)) flashed.add((i+1,j+1)) flashes += len(flashed) for i,j in flashed: temp[i][j] = 0 if len(flashed) >= total: print('Done') print(step+1) return puzzle1(False) puzzle2(False)

35.477124

67

0.396831

830

5,428

2.561446

0.073494

0.062088

0.084666

0.082785

0.857949

0.822201

0

0.068447

0.448231

5,428

153

68

35.477124

0.641402

0

0.842466

0

0.012157

0

1

0.020548

false

0

0.006849

0

0.041096

0.047945

0

null

0

1

0

1

0

null

0

7

36421e1c64750d2840fae99a510d28acdf127619

3,611

py

Python

server/backend/base/migrations/0006_auto_20210819_0859.py

Djamel-eddine/djamel_ben_smail

7d6178c40690e1b06a842244335844df6cb15625

[ "MIT" ]

null

server/backend/base/migrations/0006_auto_20210819_0859.py

Djamel-eddine/djamel_ben_smail

7d6178c40690e1b06a842244335844df6cb15625

[ "MIT" ]

null

server/backend/base/migrations/0006_auto_20210819_0859.py

Djamel-eddine/djamel_ben_smail

7d6178c40690e1b06a842244335844df6cb15625

[ "MIT" ]

null

# Generated by Django 3.0.3 on 2021-08-19 07:59 from django.db import migrations, models import django.utils.timezone import uuid class Migration(migrations.Migration): dependencies = [ ('base', '0005_auto_20210819_0846'), ] operations = [ migrations.RemoveField( model_name='associationprofile', name='id', ), migrations.RemoveField( model_name='compaign', name='id', ), migrations.RemoveField( model_name='personprofile', name='id', ), migrations.AddField( model_name='associationprofile', name='_id', field=models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False), ), migrations.AddField( model_name='associationprofile', name='createdAt', field=models.DateTimeField(auto_now_add=True, default=django.utils.timezone.now), preserve_default=False, ), migrations.AddField( model_name='compaign', name='_id', field=models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False), ), migrations.AddField( model_name='compaign', name='createdAt', field=models.DateTimeField(auto_now_add=True, default=django.utils.timezone.now), preserve_default=False, ), migrations.AddField( model_name='personprofile', name='_id', field=models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False), ), migrations.AddField( model_name='personprofile', name='createdAt', field=models.DateTimeField(auto_now_add=True, default=django.utils.timezone.now), preserve_default=False, ), migrations.AlterField( model_name='associationwilayas', name='_id', field=models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False), ), migrations.AlterField( model_name='comment', name='_id', field=models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False), ), migrations.AlterField( model_name='compaignneeds', name='_id', field=models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False), ), migrations.AlterField( model_name='compaignsteps', name='_id', field=models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False), ), migrations.AlterField( model_name='need', name='_id', field=models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False), ), migrations.AlterField( model_name='step', name='_id', field=models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False), ), migrations.AlterField( model_name='type', name='_id', field=models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False), ), migrations.AlterField( model_name='wilaya', name='_id', field=models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False), ), ]

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py

Python

tests/test_util.py

julianirwin/hloopy

24308594dbcc6a273077b7b4d7b4041b2dc4fcfd

[ "MIT" ]

6

2018-11-27T21:54:14.000Z

2021-06-10T03:21:52.000Z

tests/test_util.py

julianirwin/hloopy

24308594dbcc6a273077b7b4d7b4041b2dc4fcfd

[ "MIT" ]

null

tests/test_util.py

julianirwin/hloopy

24308594dbcc6a273077b7b4d7b4041b2dc4fcfd

[ "MIT" ]

null

from hloopy.util import * from nose.tools import assert_equal def test_rightpad(): assert_equal(rightpad('xy', '.', 3), 'xy.')

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367c50629540164f52e7cecb40956bc2ae8602e5

291

py

Python

tests/__init__.py

tquangsdh20/pyfreetts

73c28df181c7165ad6ae0e3e4c7cc25e1ed4ed6e

[ "Apache-2.0" ]

null

tests/__init__.py

tquangsdh20/pyfreetts

73c28df181c7165ad6ae0e3e4c7cc25e1ed4ed6e

[ "Apache-2.0" ]

null

tests/__init__.py

tquangsdh20/pyfreetts

73c28df181c7165ad6ae0e3e4c7cc25e1ed4ed6e

[ "Apache-2.0" ]

null

PROXY1 = { "http": "socks5://103.155.209.42:1080", "https": "socks5://103.155.209.42:1080", } PROXY2 = { "http": "socks5://195.158.197.13:1043", "https": "socks5://195.158.197.13:1043", } PROXY3 = {"http": "socks5://5.42.158.107:1080", "https": "socks5://5.42.158.107:1080"}

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7

36da4fac81f189510d0effac6b4773c8931e2865

243

py

Python

torchdrug/transforms/__init__.py

wconnell/torchdrug

a710097cb4ad4c48e0de0d18fbb77ef0e806cdc8

[ "Apache-2.0" ]

772

2021-08-10T05:03:46.000Z

2022-03-31T12:48:31.000Z

torchdrug/transforms/__init__.py

wconnell/torchdrug

a710097cb4ad4c48e0de0d18fbb77ef0e806cdc8

[ "Apache-2.0" ]

77

2021-08-12T16:19:15.000Z

2022-03-30T14:32:14.000Z

torchdrug/transforms/__init__.py

wconnell/torchdrug

a710097cb4ad4c48e0de0d18fbb77ef0e806cdc8

[ "Apache-2.0" ]

90

2021-08-11T16:27:13.000Z

2022-03-28T11:41:53.000Z

from .transform import TargetNormalize, RemapAtomType, RandomBFSOrder, Shuffle, VirtualNode, VirtualAtom, Compose __all__ = [ "TargetNormalize", "RemapAtomType", "RandomBFSOrder", "Shuffle", "VirtualNode", "VirtualAtom", "Compose", ]

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null

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8

36ed8a06fff0d39a8d72547018864f4b2c4a3157

4,050

py

Python

test/nn/conv/test_hgt_conv.py

Kenneth-Schroeder/pytorch_geometric

f7ec9e964bfae1ce5fb21d9b2b30e9e717bf8e24

[ "MIT" ]

12,651

2017-10-28T15:14:24.000Z

2021-09-12T07:22:57.000Z

test/nn/conv/test_hgt_conv.py

Kenneth-Schroeder/pytorch_geometric

f7ec9e964bfae1ce5fb21d9b2b30e9e717bf8e24

[ "MIT" ]

2,472

2017-10-30T23:38:47.000Z

2021-09-12T06:41:44.000Z

test/nn/conv/test_hgt_conv.py

Kenneth-Schroeder/pytorch_geometric

f7ec9e964bfae1ce5fb21d9b2b30e9e717bf8e24

[ "MIT" ]

2,363

2017-12-01T13:25:05.000Z

2021-09-12T07:23:09.000Z

import torch from torch_sparse import SparseTensor from torch_geometric.nn import HGTConv def test_hgt_conv_same_dimensions(): x_dict = { 'author': torch.randn(4, 16), 'paper': torch.randn(6, 16), } index1 = torch.randint(0, 4, (20, ), dtype=torch.long) index2 = torch.randint(0, 6, (20, ), dtype=torch.long) edge_index_dict = { ('author', 'writes', 'paper'): torch.stack([index1, index2]), ('paper', 'written_by', 'author'): torch.stack([index2, index1]), } adj_t_dict = {} for edge_type, edge_index in edge_index_dict.items(): src_type, _, dst_type = edge_type adj_t_dict[edge_type] = SparseTensor( row=edge_index[0], col=edge_index[1], sparse_sizes=(x_dict[src_type].size(0), x_dict[dst_type].size(0))).t() metadata = (list(x_dict.keys()), list(edge_index_dict.keys())) conv = HGTConv(16, 16, metadata, heads=2) assert str(conv) == 'HGTConv(16, heads=2)' out_dict1 = conv(x_dict, edge_index_dict) assert len(out_dict1) == 2 assert out_dict1['author'].size() == (4, 16) assert out_dict1['paper'].size() == (6, 16) out_dict2 = conv(x_dict, adj_t_dict) for out1, out2 in zip(out_dict1.values(), out_dict2.values()): assert torch.allclose(out1, out2, atol=1e-6) # TODO: Test JIT functionality. We need to wait on this one until PyTorch # allows indexing `ParameterDict` mappings :( def test_hgt_conv_different_dimensions(): x_dict = { 'author': torch.randn(4, 16), 'paper': torch.randn(6, 32), } index1 = torch.randint(0, 4, (20, ), dtype=torch.long) index2 = torch.randint(0, 6, (20, ), dtype=torch.long) edge_index_dict = { ('author', 'writes', 'paper'): torch.stack([index1, index2]), ('paper', 'written_by', 'author'): torch.stack([index2, index1]), } adj_t_dict = {} for edge_type, edge_index in edge_index_dict.items(): src_type, _, dst_type = edge_type adj_t_dict[edge_type] = SparseTensor( row=edge_index[0], col=edge_index[1], sparse_sizes=(x_dict[src_type].size(0), x_dict[dst_type].size(0))).t() metadata = (list(x_dict.keys()), list(edge_index_dict.keys())) conv = HGTConv(in_channels={ 'author': 16, 'paper': 32 }, out_channels=32, metadata=metadata, heads=2) assert str(conv) == 'HGTConv(32, heads=2)' out_dict1 = conv(x_dict, edge_index_dict) assert len(out_dict1) == 2 assert out_dict1['author'].size() == (4, 32) assert out_dict1['paper'].size() == (6, 32) out_dict2 = conv(x_dict, adj_t_dict) for out1, out2 in zip(out_dict1.values(), out_dict2.values()): assert torch.allclose(out1, out2, atol=1e-6) def test_hgt_conv_lazy(): x_dict = { 'author': torch.randn(4, 16), 'paper': torch.randn(6, 32), } index1 = torch.randint(0, 4, (20, ), dtype=torch.long) index2 = torch.randint(0, 6, (20, ), dtype=torch.long) edge_index_dict = { ('author', 'writes', 'paper'): torch.stack([index1, index2]), ('paper', 'written_by', 'author'): torch.stack([index2, index1]), } adj_t_dict = {} for edge_type, edge_index in edge_index_dict.items(): src_type, _, dst_type = edge_type adj_t_dict[edge_type] = SparseTensor( row=edge_index[0], col=edge_index[1], sparse_sizes=(x_dict[src_type].size(0), x_dict[dst_type].size(0))).t() metadata = (list(x_dict.keys()), list(edge_index_dict.keys())) conv = HGTConv(-1, 32, metadata, heads=2) assert str(conv) == 'HGTConv(32, heads=2)' out_dict1 = conv(x_dict, edge_index_dict) assert len(out_dict1) == 2 assert out_dict1['author'].size() == (4, 32) assert out_dict1['paper'].size() == (6, 32) out_dict2 = conv(x_dict, adj_t_dict) for out1, out2 in zip(out_dict1.values(), out_dict2.values()): assert torch.allclose(out1, out2, atol=1e-6)

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null

0

7

7fc361e5b7a0c23708bbaf1d856df05eff7dc134

1,247

py

Python

python_modules/dagster/dagster_tests/utils_tests/test_yaml.py

hspak/dagster

94cff048d5d757d0fe1d83abe236252a1c86bd41

[ "Apache-2.0" ]

null

python_modules/dagster/dagster_tests/utils_tests/test_yaml.py

hspak/dagster

94cff048d5d757d0fe1d83abe236252a1c86bd41

[ "Apache-2.0" ]

null

python_modules/dagster/dagster_tests/utils_tests/test_yaml.py

hspak/dagster

94cff048d5d757d0fe1d83abe236252a1c86bd41

[ "Apache-2.0" ]

null

from dagster.utils import file_relative_path from dagster.utils.yaml_utils import ( load_yaml_from_glob_list, load_yaml_from_globs, load_yaml_from_path, ) def test_load_yaml(): assert load_yaml_from_path(file_relative_path(__file__, 'yamls/yaml_one.yaml')) == { 'key_one': {'key_one_one': 'value_one'} } def test_from_glob_list(): assert load_yaml_from_glob_list([file_relative_path(__file__, 'yamls/yaml_one.yaml')]) == { 'key_one': {'key_one_one': 'value_one'} } assert load_yaml_from_glob_list( [ file_relative_path(__file__, 'yamls/yaml_one.yaml'), file_relative_path(__file__, 'yamls/yaml_two.yaml'), ] ) == {'key_one': {'key_one_one': 'value_one', 'key_one_two': 'value_two'}} assert load_yaml_from_glob_list([file_relative_path(__file__, 'yamls/*.yaml')]) == { 'key_one': {'key_one_one': 'value_one', 'key_one_two': 'value_two'} } assert load_yaml_from_globs( file_relative_path(__file__, 'yamls/yaml_one.yaml'), file_relative_path(__file__, 'yamls/yaml_two.yaml'), ) == {'key_one': {'key_one_one': 'value_one', 'key_one_two': 'value_two'}} assert load_yaml_from_glob_list(['flskhfhjsdf']) == {}

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7

3d00bdce88354c39da41facec1e4e89a78312e13

170

py

Python

Pyflai/style/style/__init__.py

CMakerA/Pyflai

4c3ed66d0d046de56c4bf6a04cb6ce8ebdf34693

[ "Apache-2.0" ]

1

2018-02-14T08:33:25.000Z

Pyflai/style/style/__init__.py

CMakerA/Pyflai

4c3ed66d0d046de56c4bf6a04cb6ce8ebdf34693

[ "Apache-2.0" ]

null

Pyflai/style/style/__init__.py

CMakerA/Pyflai

4c3ed66d0d046de56c4bf6a04cb6ce8ebdf34693

[ "Apache-2.0" ]

null

__all__ = ["BorderStyle", "Style", "Styles"] from Pyflai.style.style.BorderStyle import * from Pyflai.style.style.Style import * from Pyflai.style.style.Styles import *

28.333333

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3d4680ccf5ce4202c5a2889fbc99e3ccefad9914

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py

Python

src/abaqus/BoundaryCondition/ConnVelocityBC.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

7

2022-01-21T09:15:45.000Z

2022-02-15T09:31:58.000Z

src/abaqus/BoundaryCondition/ConnVelocityBC.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

null

src/abaqus/BoundaryCondition/ConnVelocityBC.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

null

import typing from abaqusConstants import * from .BoundaryCondition import BoundaryCondition from ..Region.Region import Region class ConnVelocityBC(BoundaryCondition): """The ConnVelocityBC object stores the data for a connector velocity boundary condition. The ConnVelocityBC object is derived from the BoundaryCondition object. Attributes ---------- name: str A String specifying the boundary condition repository key. distributionType: SymbolicConstant A SymbolicConstant specifying how the boundary condition is distributed spatially. Possible values are UNIFORM and USER_DEFINED. The default value is UNIFORM. fastenerName: str A String specifying the name of the assembled fastener to which the boundary condition will be applied. This argument is not valid when **region** is specified. When this argument is specified, **fastenerSetName** must also be specified. The default value is an empty string. fastenerSetName: str A String specifying the assembled fastener template model set to which the boundary condition will be applied. This argument is not valid when **region** is specified. When this argument is specified, **fastenerName** must also be specified. The default value is an empty string. category: SymbolicConstant A SymbolicConstant specifying the category of the boundary condition. Possible values are MECHANICAL and THERMAL. region: Region A :py:class:`~abaqus.Region.Region.Region` object specifying the region to which the boundary condition is applied. localCsys: str None or a :py:class:`~abaqus.Datum.DatumCsys.DatumCsys` object specifying the local coordinate system of the boundary condition's degrees of freedom. If **localCsys=None**, the degrees of freedom are defined in the global coordinate system. The default value is None. Notes ----- This object can be accessed by: .. code-block:: python import load mdb.models[name].boundaryConditions[name] """ # A String specifying the boundary condition repository key. name: str = '' # A SymbolicConstant specifying how the boundary condition is distributed spatially. # Possible values are UNIFORM and USER_DEFINED. The default value is UNIFORM. distributionType: SymbolicConstant = UNIFORM # A String specifying the name of the assembled fastener to which the boundary condition # will be applied. This argument is not valid when *region* is specified. When this # argument is specified, *fastenerSetName* must also be specified. The default value is an # empty string. fastenerName: str = '' # A String specifying the assembled fastener template model set to which the boundary # condition will be applied. This argument is not valid when *region* is specified. When # this argument is specified, *fastenerName* must also be specified. The default value is # an empty string. fastenerSetName: str = '' # A SymbolicConstant specifying the category of the boundary condition. Possible values # are MECHANICAL and THERMAL. category: SymbolicConstant = None # A Region object specifying the region to which the boundary condition is applied. region: Region = Region() # None or a DatumCsys object specifying the local coordinate system of the boundary # condition's degrees of freedom. If *localCsys*=None, the degrees of freedom are defined # in the global coordinate system. The default value is None. localCsys: str = None def __init__(self, name: str, createStepName: str, region: str = '', fastenerName: str = '', fastenerSetName: str = '', v1: typing.Union[SymbolicConstant, float] = UNSET, v2: typing.Union[SymbolicConstant, float] = UNSET, v3: typing.Union[SymbolicConstant, float] = UNSET, vr1: typing.Union[SymbolicConstant, float] = UNSET, vr2: typing.Union[SymbolicConstant, float] = UNSET, vr3: typing.Union[SymbolicConstant, float] = UNSET, amplitude: str = UNSET, distributionType: SymbolicConstant = UNIFORM): """This method creates a ConnVelocityBC object on a wire region. Alternatively, the boundary condition may also be applied to a wire set referenced from an assembled fastener template model. Notes ----- This function can be accessed by: .. code-block:: python mdb.models[name].ConnVelocityBC Parameters ---------- name A String specifying the boundary condition repository key. createStepName A String specifying the name of the step in which the boundary condition is created. region The wire region to which the boundary condition is applied. This argument is not valid when *fastenerName* and *fastenerSetName* are specified. fastenerName A String specifying the name of the assembled fastener to which the boundary condition will be applied. This argument is not valid when *region* is specified. When this argument is specified, *fastenerSetName* must also be specified. The default value is an empty string. fastenerSetName A String specifying the assembled fastener template model set to which the boundary condition will be applied. This argument is not valid when *region* is specified. When this argument is specified, *fastenerName* must also be specified. The default value is an empty string. v1 A Float or a SymbolicConstant specifying the velocity component in the connector's local 1-direction. Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET.Note:Although *v1*, *v2*, *v3*, *vr1*, *vr2*, and *vr3* are optional arguments, at least one of them must be specified. v2 A Float or a SymbolicConstant specifying the velocity component in the connector's local 2-direction. Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET. v3 A Float or a SymbolicConstant specifying the velocity component in the connector's local 3-direction. Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET. vr1 A Float or a SymbolicConstant specifying the rotational velocity component in the connector's local 4-direction. Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET. vr2 A Float or a SymbolicConstant specifying the rotational velocity component in the connector's local 5-direction. Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET. vr3 A Float or a SymbolicConstant specifying the rotational velocity component in the connector's local 6-direction. Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET. amplitude A String or the SymbolicConstant UNSET specifying the name of the amplitude reference. UNSET should be used if the boundary condition has no amplitude reference. The default value is UNSET. You should provide the *amplitude* argument only if it is valid for the specified step. distributionType A SymbolicConstant specifying how the boundary condition is distributed spatially. Possible values are UNIFORM and USER_DEFINED. The default value is UNIFORM. Returns ------- A ConnVelocityBC object. """ super().__init__() pass def setValues(self, region: str = '', fastenerName: str = '', fastenerSetName: str = '', v1: typing.Union[SymbolicConstant, float] = UNSET, v2: typing.Union[SymbolicConstant, float] = UNSET, v3: typing.Union[SymbolicConstant, float] = UNSET, vr1: typing.Union[SymbolicConstant, float] = UNSET, vr2: typing.Union[SymbolicConstant, float] = UNSET, vr3: typing.Union[SymbolicConstant, float] = UNSET, amplitude: str = UNSET, distributionType: SymbolicConstant = UNIFORM): """This method modifies the data for an existing ConnVelocityBC object in the step where it is created. Parameters ---------- region The wire region to which the boundary condition is applied. This argument is not valid when *fastenerName* and *fastenerSetName* are specified. fastenerName A String specifying the name of the assembled fastener to which the boundary condition will be applied. This argument is not valid when *region* is specified. When this argument is specified, *fastenerSetName* must also be specified. The default value is an empty string. fastenerSetName A String specifying the assembled fastener template model set to which the boundary condition will be applied. This argument is not valid when *region* is specified. When this argument is specified, *fastenerName* must also be specified. The default value is an empty string. v1 A Float or a SymbolicConstant specifying the velocity component in the connector's local 1-direction. Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET.Note:Although *v1*, *v2*, *v3*, *vr1*, *vr2*, and *vr3* are optional arguments, at least one of them must be specified. v2 A Float or a SymbolicConstant specifying the velocity component in the connector's local 2-direction. Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET. v3 A Float or a SymbolicConstant specifying the velocity component in the connector's local 3-direction. Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET. vr1 A Float or a SymbolicConstant specifying the rotational velocity component in the connector's local 4-direction. Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET. vr2 A Float or a SymbolicConstant specifying the rotational velocity component in the connector's local 5-direction. Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET. vr3 A Float or a SymbolicConstant specifying the rotational velocity component in the connector's local 6-direction. Possible values for the SymbolicConstant are UNSET and SET. The default value is UNSET. amplitude A String or the SymbolicConstant UNSET specifying the name of the amplitude reference. UNSET should be used if the boundary condition has no amplitude reference. The default value is UNSET. You should provide the *amplitude* argument only if it is valid for the specified step. distributionType A SymbolicConstant specifying how the boundary condition is distributed spatially. Possible values are UNIFORM and USER_DEFINED. The default value is UNIFORM. """ pass def setValuesInStep(self, stepName: str, v1: typing.Union[SymbolicConstant, float] = SET, v2: typing.Union[SymbolicConstant, float] = SET, v3: typing.Union[SymbolicConstant, float] = SET, vr1: typing.Union[SymbolicConstant, float] = SET, vr2: typing.Union[SymbolicConstant, float] = SET, vr3: typing.Union[SymbolicConstant, float] = SET, amplitude: str = ''): """This method modifies the propagating data for an existing ConnVelocityBC object in the specified step. Parameters ---------- stepName A String specifying the name of the step in which the boundary condition is modified. v1 A Float or a SymbolicConstant specifying the velocity component in the connector's local 1-direction. Possible values for the SymbolicConstant are SET and FREED. v2 A Float or a SymbolicConstant specifying the velocity component in the connector's local 2-direction. Possible values for the SymbolicConstant are SET and FREED. v3 A Float or a SymbolicConstant specifying the velocity component in the connector's local 3-direction. Possible values for the SymbolicConstant are SET and FREED. vr1 A Float or a SymbolicConstant specifying the rotational velocity component in the connector's local 4-direction. Possible values for the SymbolicConstant are SET and FREED. vr2 A Float or a SymbolicConstant specifying the rotational velocity component in the connector's local 5-direction. Possible values for the SymbolicConstant are SET and FREED. vr3 A Float or a SymbolicConstant specifying the rotational velocity component in the connector's local 6-direction. Possible values for the SymbolicConstant are SET and FREED. amplitude A String or a SymbolicConstant specifying the name of the amplitude reference. Possible values for the SymbolicConstant are UNCHANGED and FREED. UNCHANGED should be used if the amplitude is propagated from the previous analysis step. FREED should be used if the boundary condition is changed to have no amplitude reference. You should provide the *amplitude* argument only if it is valid for the specified step. """ pass

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18459ee0cd0b52af21682bd0783901554f78ee8f

340

py

Python

rules/best-practices/python/asserts.py

ligurio/flake8-flaky

48b97edb26fec16d55daed77870c41e552a86889

[ "MIT" ]

13

2020-09-17T07:04:55.000Z

2021-06-20T16:52:06.000Z

rules/best-practices/python/asserts.py

ligurio/flake8-flaky

48b97edb26fec16d55daed77870c41e552a86889

[ "MIT" ]

5

2020-10-16T11:10:14.000Z

2021-03-01T12:33:02.000Z

rules/best-practices/python/asserts.py

ligurio/flake8-flaky

48b97edb26fec16d55daed77870c41e552a86889

[ "MIT" ]

2

2020-09-17T07:04:59.000Z

2020-10-16T09:47:29.000Z

i = 2 f = 0.2 s = "hello" # ruleid: assert-with-magic-constant assert(4 == i) # ruleid: assert-with-magic-constant assert(4 == f) # ruleid: assert-with-magic-constant assert(4 == s) # ruleid: assert-with-magic-constant assert(i == 4) # ruleid: assert-with-magic-constant assert(f == 4) # ruleid: assert-with-magic-constant assert(s == 4)

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0.138235

340

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0.040323

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0.666667

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false

0

null

1

0

null

0

1

0

7

a100fb338fcb8ea217c5f5ebb59862b22d93e810

19,934

py

Python

bluebottle/token_auth/tests/test_base.py

terrameijar/bluebottle

b4f5ba9c4f03e678fdd36091b29240307ea69ffd

[ "BSD-3-Clause" ]

null

bluebottle/token_auth/tests/test_base.py

terrameijar/bluebottle

b4f5ba9c4f03e678fdd36091b29240307ea69ffd

[ "BSD-3-Clause" ]

null

bluebottle/token_auth/tests/test_base.py

terrameijar/bluebottle

b4f5ba9c4f03e678fdd36091b29240307ea69ffd

[ "BSD-3-Clause" ]

null

from mock import patch from django.test import TestCase from django.contrib.auth import get_user_model from bluebottle.members.models import MemberPlatformSettings from bluebottle.test.factory_models.accounts import BlueBottleUserFactory from bluebottle.test.factory_models.geo import LocationFactory from bluebottle.segments.tests.factories import SegmentFactory, SegmentTypeFactory from bluebottle.members.models import UserSegment from bluebottle.token_auth.auth.base import BaseTokenAuthentication class TestBaseTokenAuthentication(TestCase): """ Tests the Base Token Authentication backend. """ def setUp(self): with self.settings(TOKEN_AUTH={}): self.auth = BaseTokenAuthentication(None) @patch.object( BaseTokenAuthentication, 'authenticate_request', return_value={ 'remote_id': 'test@example.com', 'email': 'test@example.com' } ) def test_user_created(self, authenticate_request): """ When the user is successfully authenticated, a new user should be created """ with self.settings(TOKEN_AUTH={}): user, created = self.auth.authenticate() self.assertEqual(authenticate_request.call_count, 1) self.assertTrue(created) self.assertEqual(user.email, 'test@example.com') @patch.object( BaseTokenAuthentication, 'authenticate_request', return_value={ 'remote_id': 'test@example.com', 'email': 'test@example.com', 'location.slug': 'AMS' } ) def test_user_created_location(self, authenticate_request): location = LocationFactory.create(name='Amsterdam', slug='AMS') with self.settings(TOKEN_AUTH={}): user, created = self.auth.authenticate() self.assertEqual(authenticate_request.call_count, 1) self.assertTrue(created) user.refresh_from_db() self.assertEqual(user.email, 'test@example.com') self.assertEqual(user.location, location) @patch.object( BaseTokenAuthentication, 'authenticate_request', return_value={ 'remote_id': 'test@example.com', 'email': 'test@example.com', 'location.slug': 'AMS' } ) def test_user_updated_location(self, authenticate_request): BlueBottleUserFactory.create(remote_id='test@example.com', location=None) location = LocationFactory.create(name='Amsterdam', slug='AMS') with self.settings(TOKEN_AUTH={}): user, created = self.auth.authenticate() self.assertEqual(authenticate_request.call_count, 1) self.assertFalse(created) user.refresh_from_db() self.assertEqual(user.email, 'test@example.com') self.assertEqual(user.location, location) @patch.object( BaseTokenAuthentication, 'authenticate_request', return_value={ 'remote_id': 'test@example.com', 'email': 'test@example.com', 'location.slug': 'AMS' } ) def test_user_updated_location_verified(self, authenticate_request): location = LocationFactory.create() BlueBottleUserFactory.create( remote_id='test@example.com', location=location, location_verified=True ) LocationFactory.create(name='Amsterdam', slug='AMS') with self.settings(TOKEN_AUTH={}): user, created = self.auth.authenticate() self.assertEqual(authenticate_request.call_count, 1) self.assertFalse(created) user.refresh_from_db() self.assertEqual(user.email, 'test@example.com') self.assertEqual(user.location, location) @patch.object( BaseTokenAuthentication, 'authenticate_request', return_value={ 'remote_id': 'test@example.com', 'email': 'test@example.com', 'location.slug': 'AMS' } ) def test_user_created_location_missing(self, authenticate_request): with self.settings(TOKEN_AUTH={}): user, created = self.auth.authenticate() self.assertEqual(authenticate_request.call_count, 1) self.assertTrue(created) self.assertEqual(user.email, 'test@example.com') @patch.object( BaseTokenAuthentication, 'authenticate_request', return_value={ 'remote_id': 'test@example.com', 'email': 'test@example.com', 'segment.team': 'Online Marketing', 'segment.unit': 'Marketing', } ) def test_user_created_segments(self, authenticate_request): team = SegmentTypeFactory.create(name='Team') team_segment = SegmentFactory.create(name='Online Marketing', segment_type=team) SegmentFactory.create(name='Direct Marketing', segment_type=team, email_domains=[]) unit = SegmentTypeFactory.create(name='Unit') unit_segment = SegmentFactory.create(name='Marketing', segment_type=unit) SegmentFactory.create(name='Communications', segment_type=unit, email_domains=[]) with self.settings(TOKEN_AUTH={}): user, created = self.auth.authenticate() self.assertEqual(authenticate_request.call_count, 1) self.assertTrue(created) self.assertEqual(user.email, 'test@example.com') self.assertTrue( team_segment in user.segments.all() ) self.assertTrue( unit_segment in user.segments.all() ) self.assertFalse( UserSegment.objects.get(segment=team_segment, member=user).verified ) self.assertFalse( UserSegment.objects.get(segment=unit_segment, member=user).verified ) self.assertEqual( user.required, [] ) @patch.object( BaseTokenAuthentication, 'authenticate_request', return_value={ 'remote_id': 'test@example.com', 'email': 'test@example.com', 'segment.team': 'Online Marketing', } ) def test_user_created_segments_unverified(self, authenticate_request): team = SegmentTypeFactory.create(name='Team', needs_verification=True) team_segment = SegmentFactory.create(name='Online Marketing', segment_type=team, email_domains=[]) other_segment = SegmentFactory.create(name='Direct Marketing', segment_type=team, email_domains=[]) with self.settings(TOKEN_AUTH={}): user, created = self.auth.authenticate() self.assertTrue( team_segment in user.segments.all() ) self.assertTrue( other_segment not in user.segments.all() ) self.assertFalse(UserSegment.objects.get(segment=team_segment, member=user).verified) user.segments.add( other_segment, through_defaults={'verified': False} ) with self.settings(TOKEN_AUTH={}): user, created = self.auth.authenticate() self.assertTrue( team_segment in user.segments.all() ) self.assertTrue( other_segment not in user.segments.all() ) self.assertFalse(UserSegment.objects.get(segment=team_segment, member=user).verified) @patch.object( BaseTokenAuthentication, 'authenticate_request', return_value={ 'remote_id': 'test@example.com', 'email': 'test@example.com', 'segment.team': 'Online Marketing', } ) def test_user_created_segments_unverified_twice(self, authenticate_request): team = SegmentTypeFactory.create(name='Team', needs_verification=True) team_segment = SegmentFactory.create( name='Online Marketing', segment_type=team, email_domains=[] ) other_segment = SegmentFactory.create(name='Direct Marketing', segment_type=team, email_domains=[]) with self.settings(TOKEN_AUTH={}): user, created = self.auth.authenticate() user.segments.clear() user.segments.add( other_segment, through_defaults={'verified': True} ) with self.settings(TOKEN_AUTH={}): user, created = self.auth.authenticate() self.assertTrue( team_segment not in user.segments.all() ) self.assertTrue( other_segment in user.segments.all() ) self.assertTrue(UserSegment.objects.get(segment=other_segment, member=user).verified) @patch.object( BaseTokenAuthentication, 'authenticate_request', return_value={ 'remote_id': 'test@example.com', 'email': 'test@example.com', 'segment.team': 'Marketing, online', 'segment.unit': 'Marketing', } ) def test_user_created_segments_alternative_name(self, authenticate_request): team = SegmentTypeFactory.create(name='Team') team_segment = SegmentFactory.create( name='Online Marketing', segment_type=team, alternate_names=['Marketing, online'] ) SegmentFactory.create(name='Direct Marketing', segment_type=team, email_domains=[]) unit = SegmentTypeFactory.create(name='Unit') unit_segment = SegmentFactory.create(name='Marketing', segment_type=unit) SegmentFactory.create(name='Communications', segment_type=unit) with self.settings(TOKEN_AUTH={}): user, created = self.auth.authenticate() self.assertEqual(authenticate_request.call_count, 1) self.assertTrue(created) self.assertEqual(user.email, 'test@example.com') self.assertTrue( team_segment in user.segments.all() ) self.assertTrue( unit_segment in user.segments.all() ) @patch.object( BaseTokenAuthentication, 'authenticate_request', return_value={ 'remote_id': 'test@example.com', 'email': 'test@example.com', 'segment.team': ['Marketing', 'Online Marketing'], } ) def test_user_created_segments_list(self, authenticate_request): team = SegmentTypeFactory.create(name='Team') team_segment = SegmentFactory.create( name='Online Marketing', segment_type=team, email_domains=[] ) SegmentFactory.create( name='Direct Marketing', segment_type=team, email_domains=[] ) with self.settings(TOKEN_AUTH={}): user, created = self.auth.authenticate() self.assertEqual(authenticate_request.call_count, 1) self.assertTrue(created) self.assertEqual(user.email, 'test@example.com') self.assertTrue( team_segment in user.segments.all() ) @patch.object( BaseTokenAuthentication, 'authenticate_request', return_value={ 'remote_id': 'test@example.com', 'email': 'test@example.com', 'segment.team': ['Engineering', 'Software Engineering'], } ) def test_user_created_segments_list_no_match(self, authenticate_request): member_settings = MemberPlatformSettings.load() member_settings.create_segments = False member_settings.save() team = SegmentTypeFactory.create(name='Team') SegmentFactory.create( name='Online Marketing', segment_type=team, email_domains=[] ) SegmentFactory.create(name='Direct Marketing', segment_type=team) with self.settings(TOKEN_AUTH={}): user, created = self.auth.authenticate() self.assertEqual(authenticate_request.call_count, 1) self.assertTrue(created) self.assertEqual(user.email, 'test@example.com') self.assertEqual(len(user.segments.all()), 0) @patch.object( BaseTokenAuthentication, 'authenticate_request', return_value={ 'remote_id': 'test@example.com', 'email': 'test@example.com', 'segment.team': ['Online Marketing'], } ) def test_user_created_segments_list_no_match_create(self, authenticate_request): member_settings = MemberPlatformSettings.load() member_settings.create_segments = True member_settings.save() SegmentTypeFactory.create(name='Team') with self.settings(TOKEN_AUTH={}): user, created = self.auth.authenticate() self.assertEqual(authenticate_request.call_count, 1) self.assertTrue(created) self.assertEqual(user.email, 'test@example.com') self.assertEqual(len(user.segments.all()), 1) self.assertEqual(user.segments.first().name, 'Online Marketing') self.assertEqual(user.segments.first().alternate_names, ['Online Marketing']) @patch.object( BaseTokenAuthentication, 'authenticate_request', return_value={ 'remote_id': 'test@example.com', 'email': 'test@example.com', 'segment.team': 'Online Marketing', 'segment.unit': 'Marketing', } ) def test_user_updated_segments(self, authenticate_request): user = BlueBottleUserFactory.create(remote_id='test@example.com') team = SegmentTypeFactory.create(name='Team') team_segment = SegmentFactory.create(name='Online Marketing', segment_type=team, email_domains=[]) user.segments.add( SegmentFactory.create(name='Direct Marketing', segment_type=team) ) unit = SegmentTypeFactory.create(name='Unit') unit_segment = SegmentFactory.create(name='Marketing', segment_type=unit) user.segments.add( SegmentFactory.create(name='Communications', segment_type=unit) ) with self.settings(TOKEN_AUTH={}): user, created = self.auth.authenticate() self.assertEqual(authenticate_request.call_count, 1) self.assertFalse(created) self.assertEqual(user.email, 'test@example.com') self.assertEqual(len(user.segments.all()), 2) self.assertTrue( team_segment in user.segments.all() ) self.assertTrue( unit_segment in user.segments.all() ) @patch.object( BaseTokenAuthentication, 'authenticate_request', return_value={ 'remote_id': 'test@example.com', 'email': 'test@example.com', 'segment.team': 'Other Marketing', 'segment.unit': 'Engineering', } ) def test_user_created_segments_missing(self, authenticate_request): BlueBottleUserFactory.create(remote_id='test@example.com') team = SegmentTypeFactory.create(name='Team') SegmentFactory.create(name='Online Marketing', segment_type=team, email_domains=[]) SegmentFactory.create(name='Direct Marketing', segment_type=team, email_domains=[]) unit = SegmentTypeFactory.create(name='Unit') SegmentFactory.create(name='Marketing', segment_type=unit) SegmentFactory.create(name='Communications', segment_type=unit) with self.settings(TOKEN_AUTH={}): user, created = self.auth.authenticate() self.assertEqual(authenticate_request.call_count, 1) self.assertFalse(created) self.assertEqual(user.email, 'test@example.com') self.assertEqual(len(user.segments.all()), 0) @patch.object( BaseTokenAuthentication, 'authenticate_request', return_value={ 'remote_id': 'test@example.com', 'email': 'test@example.com', 'segment.team': 'Other Marketing', 'segment.unit': 'Engineering', } ) def test_user_created_segments_missing_create(self, authenticate_request): member_settings = MemberPlatformSettings.load() member_settings.create_segments = True member_settings.save() SegmentTypeFactory.create(name='Team') SegmentTypeFactory.create(name='Unit') with self.settings(TOKEN_AUTH={}): user, created = self.auth.authenticate() self.assertEqual(user.email, 'test@example.com') self.assertEqual(len(user.segments.all()), 2) @patch.object( BaseTokenAuthentication, 'authenticate_request', return_value={ 'remote_id': 'test@example.com', 'email': 'test@example.com' } ) def test_user_already_exists(self, authenticate_request): with self.settings(TOKEN_AUTH={}): get_user_model()(remote_id='test@example.com', email='test@example.com').save() user, created = self.auth.authenticate() self.assertEqual(authenticate_request.call_count, 1) self.assertFalse(created) self.assertEqual(user.email, 'test@example.com') @patch.object( BaseTokenAuthentication, 'authenticate_request', return_value={'remote_id': 'test@example.com'} ) def test_user_already_exists_only_remote_id(self, authenticate_request): with self.settings(TOKEN_AUTH={}): get_user_model()(remote_id='test@example.com', email='test@example.com').save() user, created = self.auth.authenticate() self.assertEqual(authenticate_request.call_count, 1) self.assertFalse(created) self.assertEqual(user.email, 'test@example.com') @patch.object( BaseTokenAuthentication, 'authenticate_request', return_value={ 'remote_id': 'test@example.com', 'email': 'test@example.com' } ) def test_user_already_exists_without_remote_id(self, authenticate_request): with self.settings(TOKEN_AUTH={}): get_user_model()(email='test@example.com').save() user, created = self.auth.authenticate() self.assertEqual(authenticate_request.call_count, 1) self.assertFalse(created) self.assertEqual(user.email, 'test@example.com') self.assertEqual(user.remote_id, 'test@example.com') @patch.object( BaseTokenAuthentication, 'authenticate_request', return_value={ 'remote_id': 'test@example.com' } ) def test_user_new_only_remote_id(self, authenticate_request): with self.settings(TOKEN_AUTH={}): user, created = self.auth.authenticate() self.assertEqual(authenticate_request.call_count, 1) self.assertTrue(created) self.assertEqual(user.remote_id, 'test@example.com') @patch.object( BaseTokenAuthentication, 'authenticate_request', return_value={'remote_id': 'test@example.com', 'email': 'test@example.com', 'first_name': 'updated'} ) def test_user_already_exists_attributes_updated(self, authenticate_request): with self.settings(TOKEN_AUTH={}): get_user_model()(remote_id='test@example.com', email='test@example.com', first_name='test').save() user, created = self.auth.authenticate() self.assertEqual(authenticate_request.call_count, 1) self.assertFalse(created) self.assertEqual(user.email, 'test@example.com') self.assertEqual(user.first_name, 'updated')

36.509158

110

0.618591

1,927

19,934

6.221588

0.063311

0.062391

0.079406

0.061807

0.922846

0.900325

0.887063

0.884227

0.848945

0

0.001512

0.269941

19,934

545

111

36.576147

0.822305

0.00592

0

0.701944

0

0.140169

0

0.179266

1

0.045356

false

0

0.019438

0

0.066955

0

null

0

1

0

1

0

null

0

7

a10deda94488e23803483b5d75fb9f933ea803f7

160

py

Python

cal.py

utsav-walia/Coding-Blocks-Python-

2343d4934e9685f6ccf41eb091161b488c42e7a9

[ "MIT" ]

null

cal.py

utsav-walia/Coding-Blocks-Python-

2343d4934e9685f6ccf41eb091161b488c42e7a9

[ "MIT" ]

null

cal.py

utsav-walia/Coding-Blocks-Python-

2343d4934e9685f6ccf41eb091161b488c42e7a9

[ "MIT" ]

null

import calculator print(type(calculator)) print(calculator.add(3,4)) print(calculator.sub(3,4)) print(calculator.div(3,4)) print(calculator.mul(3,4))

17.777778

27

0.71875

25

160

4.6

0.4

0.521739

0.182609

0.443478

0

0.055944

0.10625

160

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20

0.748252

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true

0

0.166667

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0.833333

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1

0

1

0

null

0

1

0

1

0

7

a1693406c2600c1d21f3487bb8861dd355ed5b93

13,892

py

Python

p4v1_1/simple_router/send1.py

vibhaa/iw15

c2a316499dbd3e7459aed2cacf0612df0b7dcec2

[ "Apache-2.0" ]

14

2019-02-25T22:42:15.000Z

2021-12-22T06:29:20.000Z

p4v1_1/simple_router/send1.py

vibhaa/iw15

c2a316499dbd3e7459aed2cacf0612df0b7dcec2

[ "Apache-2.0" ]

null

p4v1_1/simple_router/send1.py

vibhaa/iw15

c2a316499dbd3e7459aed2cacf0612df0b7dcec2

[ "Apache-2.0" ]

8

2018-11-25T11:42:24.000Z

2021-03-11T07:23:21.000Z

#!/usr/bin/python # Copyright 2013-present Barefoot Networks, 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. from scapy.all import sniff, sendp from scapy.all import Packet from scapy.all import ShortField, IntField, LongField, BitField from scapy.all import Ether, IP, TCP import networkx as nx import sys def main(): if len(sys.argv) != 1: print "Usage: send1.py" sys.exit(1) src, dst = 'h1', 'h2' srcmac = '00:aa:bb:00:00:00' dstmac = '00:aa:bb:00:00:01' port = 80 msg = 'hi' p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '197.89.8.178', dst = '1.146.110.6') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '43.255.233.20', dst = '221.46.220.203') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '120.104.63.110', dst = '35.240.203.254') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '43.255.233.20', dst = '221.46.220.203') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '119.235.8.155', dst = '1.96.167.6') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '130.192.216.115', dst = '1.145.172.183') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '130.192.216.115', dst = '1.145.172.183') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '13.1.149.6', dst = '1.96.164.152') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '43.19.164.220', dst = '208.233.254.228') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '43.255.233.20', dst = '221.46.220.203') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '128.84.240.85', dst = '3.132.119.134') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '207.136.123.163', dst = '1.96.223.185') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '207.184.175.251', dst = '1.96.166.240') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '15.83.232.210', dst = '153.193.117.36') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '198.88.36.241', dst = '1.124.177.87') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '119.250.217.75', dst = '1.96.167.85') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '43.255.233.20', dst = '221.46.220.203') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '43.255.233.20', dst = '221.46.220.203') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '119.248.43.197', dst = '1.96.222.150') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '108.23.31.176', dst = '1.96.222.138') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '57.1.234.211', dst = '1.91.225.157') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '4.36.65.12', dst = '153.193.46.38') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '43.139.101.148', dst = '1.110.251.196') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '116.164.67.137', dst = '1.65.177.183') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '119.250.217.75', dst = '1.96.167.85') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '207.136.201.127', dst = '1.96.223.181') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '106.84.38.143', dst = '1.15.166.226') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '130.77.108.248', dst = '1.8.156.9') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '208.39.232.84', dst = '66.216.25.163') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '207.138.181.127', dst = '1.96.223.228') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '116.209.201.104', dst = '66.216.25.163') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '207.136.167.199', dst = '1.96.223.185') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '99.158.44.98', dst = '1.45.33.80') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '13.1.149.6', dst = '1.96.164.152') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '120.186.203.249', dst = '1.96.166.204') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '28.232.205.91', dst = '1.12.170.147') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '112.108.151.63', dst = '1.96.223.248') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '43.139.101.140', dst = '107.29.168.172') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '28.97.144.68', dst = '1.96.167.70') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '111.37.250.218', dst = '3.248.234.184') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '119.226.16.152', dst = '1.96.223.181') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '207.138.181.127', dst = '1.96.223.228') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '111.37.250.218', dst = '3.248.234.184') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '198.88.36.241', dst = '1.124.177.87') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '207.152.38.62', dst = '1.102.64.224') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '128.36.125.142', dst = '1.96.167.236') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '212.251.29.29', dst = '153.193.47.117') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '67.7.29.236', dst = '102.43.173.143') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '208.39.232.61', dst = '66.216.25.163') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '99.158.44.98', dst = '1.45.33.80') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '116.209.201.192', dst = '66.216.25.163') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '207.144.239.0', dst = '1.96.222.219') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '66.141.179.194', dst = '210.108.60.132') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '112.90.2.206', dst = '1.96.223.244') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '71.195.3.209', dst = '210.108.56.251') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '119.238.4.231', dst = '1.96.167.6') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '173.162.174.71', dst = '102.14.133.117') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '43.139.101.105', dst = '1.2.54.84') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '111.37.250.218', dst = '3.248.234.184') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '12.236.225.10', dst = '1.96.186.227') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '130.77.108.248', dst = '1.8.156.9') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '12.236.225.10', dst = '1.96.186.227') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '66.81.91.169', dst = '66.216.25.163') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '43.139.101.104', dst = '1.150.34.79') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '111.37.250.218', dst = '3.248.234.184') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '43.139.101.159', dst = '137.183.138.50') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '99.6.223.116', dst = '5.240.216.86') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '112.111.158.189', dst = '1.96.222.248') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '67.233.176.179', dst = '210.108.32.99') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '197.78.57.165', dst = '66.216.25.163') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '207.152.38.62', dst = '1.102.64.224') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '116.209.201.245', dst = '66.216.25.163') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '28.70.106.198', dst = '1.96.222.248') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '43.139.101.102', dst = '1.3.251.80') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '158.255.243.46', dst = '111.205.25.227') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '212.226.67.33', dst = '66.216.25.163') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '144.187.28.60', dst = '1.66.27.105') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '43.255.233.20', dst = '221.46.220.203') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '194.253.242.112', dst = '153.193.46.216') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '43.139.101.167', dst = '1.0.227.102') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '36.137.204.196', dst = '1.148.195.80') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '201.188.208.178', dst = '1.96.231.122') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '116.164.211.145', dst = '3.249.2.54') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '214.65.45.201', dst = '35.240.203.247') / msg sendp(p, iface = "veth0", verbose = 0) p = Ether(src=srcmac, dst=dstmac, type=0x0800) / IP(src = '108.23.31.176', dst = '1.96.222.138') / msg sendp(p, iface = "veth0", verbose = 0) if __name__ == '__main__': main()

66.152381

110

0.597322

2,377

13,892

3.487589

0.131258

0.06152

0.09228

0.1538

0.811098

0.808323

0

0.205924

0.193205

13,892

209

111

66.4689

0.533726

0.042255

0

0.614973

0

0.20164

0

0.038372

0

null

0

0.032086

null

0.005348

0

null

0

1

0

1

0

null

0

1

0

8

a173a66532de2e781fa05eb0c4f21876caebdd3e

20,137

py

Python

ngskit/pipelines/peptide.py

kim-lab/NGSKit

62f609111ba59b9d7d87dc9979a9a2c57959e297

[ "MIT" ]

1

2021-12-10T22:23:50.000Z

ngskit/pipelines/peptide.py

kimlaborg/NGSKit

62f609111ba59b9d7d87dc9979a9a2c57959e297

[ "MIT" ]

null

ngskit/pipelines/peptide.py

kimlaborg/NGSKit

62f609111ba59b9d7d87dc9979a9a2c57959e297

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import print_function from __future__ import division import sys import glob import pandas as pd import numpy as np from ngskit.utils import dna #form dna_util import * from common import * # Pipelines def lentivirus_combine(data_path = '/home/ccorbi/Work/Beagle/optim_lib/Kim/demultpx_barcodeOnly/Sequences/', gaps='fill', fill_value=0, time_points=[0,3,7,14], cell_times = {'HEK293T':[0,1.8,3.9,9.4],'RWP1':[0,2.0,4.1,9.7]}): """Read data from the blast ouput files. Apply DESEQ normalization. Merge Replicas and average the reads, calc dropout score. One library at a time. :param str data_path: path with the where the files are located :param str gaps: Behaivor with the gaps, by default fill, fill the gaps with one read. :param func normfunction: Function to normalize the reads, by default log10 :param list time_points: list contain the time points info [0,1,4,10...] :param dict cell_times: Dictionary where key is the cell lines name and the values a list with the Double time of the cell line for each time point. [0,2.4,4.5,10] This must match the time points. :param bool normed: Divison all the time points by the biggest value in the time serie :param bool itemization: return slope for each time point and the dropscore :param int scalar: scalar to multiply dropscore [increse the signal] :returns: :rtype dict: The information for each lib and cell lines is merge toghether in a dataframe. Each DataFrame is placed in a dictionary with key [lib_cellline] """ alldata = dict() # Check if the number of times match the doubling times for times in cell_times.values(): assert len(times) == len(time_points) for cellline in cell_times.keys(): print('Reading {}'.format(cellline)) #get reads for all replicas in time point # init vars # DataFrame poll_of_replicas = pd.DataFrame(columns=['referenceId']) # recollect columns with reads info, for normalize columns_reads = list() # for group replicas (average) columns_replicas = dict() for t in time_points: # init dict timereplicas = glob.glob(data_path+'*%s*T%i*.out' % (cellline,t)) columns_replicas[t] = list() #Get reads for replica, normal and put it toghet # Read all replicas for a T point for replica in timereplicas: print('Parsing Time {} - replica {}'.format(t, replica)) # Read data for replica # No simple norm raw_data = read_bowtie(replica, norm=False) # Get name replica and label it name_replica = replica.split('/')[-1] columns_reads.append('Reads_{}'.format(name_replica)) columns_replicas[t].append('nReads_{}'.format(name_replica)) raw_data.rename(columns={'Reads':'Reads_{}'.format(name_replica)}, inplace=True) # 'nReads':'nReads_{}'.format(name_replica)}, inplace=True) # Join replicas poll_of_replicas = pd.merge(poll_of_replicas, raw_data, on=['referenceId'], how='outer') # Handle the Gaps in the Time points Not to the replicas. if gaps == 'fill': poll_of_replicas.fillna(fill_value, inplace=True) # if gaps is not set up # Drop row where there is some missing values else: poll_of_replicas.dropna(inplace=True) # apply DESEQ normalization # consider all samples like replicas print(poll_of_replicas.shape[0]) poll_of_replicas = norm_deseq(poll_of_replicas, columns_reads) print(poll_of_replicas.shape[0]) # join & Average all replicas # this should be done after the normalization for t in time_points: poll_of_replicas['nReads_T{}'.format(t)] = poll_of_replicas[columns_replicas[t]].mean(axis=1, skipna=True) # calc dropOut score log assert(poll_of_replicas.shape[0] > 0) poll_of_replicas['DPlog_{}'.format(cellline)] = poll_of_replicas.apply(dropOutScoreLog2, sampling_points=time_points, dbl_times = cell_times[cellline], axis=1) # Calc Lienal regression poll_of_replicas['LR_{}'.format(cellline)] = poll_of_replicas.apply(DP_linreg, sampling_points=time_points, dbl_times = cell_times[cellline], axis=1) alldata[cellline] = poll_of_replicas.copy() # print some values to see it is working properlly print('DONE {}'.format(cellline)) print('{} '.format(alldata[cellline].shape[0])) print(alldata[cellline].head(5)) return alldata def lentivirus_deseq(data_path = '/home/ccorbi/Work/Beagle/optim_lib/Kim/demultpx_barcodeOnly/Sequences/', gaps='fill', fill_value=0, time_points=[0,3,7,14], cell_times = {'HEK293T':[0,1.8,3.9,9.4],'RWP1':[0,2.0,4.1,9.7]}): """Read data from the blast ouput files. Apply DESEQ normalization. Merge Replicas and average the reads, calc dropout score. One library at a time. :param str data_path: path with the where the files are located :param str gaps: Behaivor with the gaps, by default fill, fill the gaps with one read. :param func normfunction: Function to normalize the reads, by default log10 :param list time_points: list contain the time points info [0,1,4,10...] :param dict cell_times: Dictionary where key is the cell lines name and the values a list with the Double time of the cell line for each time point. [0,2.4,4.5,10] This must match the time points. :param bool normed: Divison all the time points by the biggest value in the time serie :param bool itemization: return slope for each time point and the dropscore :param int scalar: scalar to multiply dropscore [increse the signal] :returns: :rtype dict: The information for each lib and cell lines is merge toghether in a dataframe. Each DataFrame is placed in a dictionary with key [lib_cellline] """ alldata = dict() # Check if the number of times match the doubling times for times in cell_times.values(): assert len(times) == len(time_points) for cellline in cell_times.keys(): print('Reading {}'.format(cellline)) #get reads for all replicas in time point # init vars # DataFrame poll_of_replicas = pd.DataFrame(columns=['referenceId']) # recollect columns with reads info, for normalize columns_reads = list() # for group replicas (average) columns_replicas = dict() for t in time_points: # init dict timereplicas = glob.glob(data_path+'*%s*T%i*.out' % (cellline,t)) columns_replicas[t] = list() #Get reads for replica, normal and put it toghet # Read all replicas for a T point for replica in timereplicas: print('Parsing Time {} - replica {}'.format(t, replica)) # Read data for replica # No simple norm raw_data = read_bowtie(replica, norm=False) # Get name replica and label it name_replica = replica.split('/')[-1] columns_reads.append('Reads_{}'.format(name_replica)) columns_replicas[t].append('nReads_{}'.format(name_replica)) raw_data.rename(columns={'Reads':'Reads_{}'.format(name_replica)}, inplace=True) # 'nReads':'nReads_{}'.format(name_replica)}, inplace=True) # Join replicas poll_of_replicas = pd.merge(poll_of_replicas, raw_data, on=['referenceId'], how='outer') # Handle the Gaps in the Time points Not to the replicas. if gaps == 'fill': poll_of_replicas.fillna(fill_value, inplace=True) # if gaps is not set up # Drop row where there is some missing values else: poll_of_replicas.dropna(inplace=True) # apply DESEQ normalization # consider all samples like replicas print(poll_of_replicas.shape[0]) poll_of_replicas = norm_deseq(poll_of_replicas, columns_reads) print(poll_of_replicas.shape[0]) # join & Average all replicas # this should be done after the normalization for t in time_points: poll_of_replicas['nReads_T{}'.format(t)] = poll_of_replicas[columns_replicas[t]].mean(axis=1, skipna=True) # calc dropOut score assert(poll_of_replicas.shape[0] > 0) poll_of_replicas['DS_{}'.format(cellline)] = poll_of_replicas.apply(dropOutScore, sampling_points=time_points, dbl_times = cell_times[cellline], axis=1) alldata[cellline] = poll_of_replicas.copy() # print some values to see it is working properlly print('DONE {}'.format(cellline)) print('{} '.format(alldata[cellline].shape[0])) print(alldata[cellline].head(5)) return alldata def lentivirus(data_path = '/home/ccorbi/Work/Beagle/optim_lib/Kim/demultpx_barcodeOnly/Sequences/', gaps='fill', normfunction=np.log10, fill_value=0, libs = ['Cterminal','Disorderome'],time_points=[0,3,7,14], cell_times = {'HEK293T':[0,1.8,3.9,9.4],'RWP1':[0,2.0,4.1,9.7]}): """ read data from the blast ouput files. Merge Replicas and Normalize the reads (by default: Log10 of the reads, and avg of the replicas). collect different time point and build a DataFrame with the info. :param str data_path: path with the where the files are located :param str gaps: Behaivor with the gaps, by default fill, fill the gaps with one read. :param func normfunction: Function to normalize the reads, by default log10 :param list time_points: list contain the time points info [0,1,4,10...] :param dict cell_times: Dictionary where key is the cell lines name and the values a list with the Double time of the cell line for each time point. [0,2.4,4.5,10] This must match the time points. :param bool normed: Divison all the time points by the biggest value in the time serie :param bool itemization: return slope for each time point and the dropscore :param int scalar: scalar to multiply dropscore [increse the signal] :returns: :rtype dict: The information for each lib and cell lines is merge toghether in a dataframe. Each DataFrame is placed in a dictionary with key [lib_cellline] """ alldata = dict() # Check if the number of times match the doubling times for times in cell_times.values(): assert len(times) == len(time_points) for lib in libs: for cellline in cell_times.keys(): print('Reading {} {}'.format(lib, cellline)) #get reads for all replicas in time point # init vars poll_of_replicas = pd.DataFrame(columns=['referenceId']) columns_replicas = dict() for t in time_points: # init dict timereplicas = glob.glob(data_path+'*%s*T%i*.out' % (cellline,t)) columns_replicas[t] = list() #Get reads for replica, normal and put it toghet # Read all replicas for a T point for replica in timereplicas: print('Parsing Time {} - replica {}'.format(t, replica)) # Read data for replica # In this library, one NA seq per peptide, so we can normilize here raw_data = read_bowtie(replica, norm=norm_TC) # Get name replica name_replica = replica.split('/')[-1] columns_replicas[t].append('nReads_{}'.format(name_replica)) raw_data.rename(columns={'Reads':'Reads_{}'.format(name_replica), 'nReads':'nReads_{}'.format(name_replica)}, inplace=True) # Join replicas poll_of_replicas = pd.merge(poll_of_replicas, raw_data, on=['referenceId'], how='outer') # join & Average all replicas poll_of_replicas['nReads_T{}'.format(t)] = poll_of_replicas[columns_replicas[t]].mean(axis=1,skipna=True) # Handle the Gaps in the Time points Not to the replicas. if gaps == 'fill': poll_of_replicas.fillna(fill_value,inplace=True) # Drop row where there is some missing values else: poll_of_replicas.dropna(inplace=True) # calc dropOut score assert(poll_of_replicas.shape[0] > 0) poll_of_replicas['DS_{}'.format(cellline)] = poll_of_replicas.apply(dropOutScore, sampling_points=time_points, dbl_times = cell_times[cellline], axis=1) alldata[lib+'_'+cellline] = poll_of_replicas.copy() # print some values to see it is working properlly print('DONE {}'.format(lib+'_'+cellline)) print('{} '.format(alldata[lib+'_'+cellline].shape[0])) print(alldata[lib+'_'+cellline].head(5)) return alldata def b2h_random(fasta_file, norm=True): """Pipeline for preprocess of random libraries from b2h. Read demultiplexed fasta files, filter non NNS and Frameshift sequences. Returns a Dataframe with the sequences group by AA Parameters ---------- fasta_file : str Path to the fasta file Returns ------- Dataframe Return a dataframe with filtered sequneces ['referenceId', 'Seq', 'Reads', 'nReads'] """ # load data df = read_fasta(fasta_file, norm=False, translate2aa=False) # remove extra stop codons # df['na'] = df['Seq'].str[:-6] # identify non NNS sequences df['NNS'] = df['Seq'].apply(dna.is_bias_on) # identify seq with STOP codons df['STOP'] = df['Seq'].apply(dna.code_4_any) # filter by previous criteria and translate to AA dfc = df[(df['NNS']==True) & (df['STOP']==False)] # Error if any seq complain the filters assert(dfc.shape[0]>0) dfc['aa'] = dfc['Seq'].apply(dna.translate2aa) # save? # For each unique sequences group # sum sequences coding for the same grp_df = dfc.groupby(['aa'], as_index=False)['Reads'].agg(sum) # grp_df.rename(columns={'Seq': 'na'}, inplace=True) grp_df.rename(columns={'aa': 'Seq'}, inplace=True) if norm: diversity = grp_df['Seq'].unique().shape[0] grp_df['nReads'] = ( grp_df['Reads'] / grp_df['Reads'].sum() ) * diversity return grp_df[[ 'Seq', 'Reads', 'nReads']] else: return grp_df[['Seq', 'Reads']] # Data for Shannon entroy # transformed = list() # peptides = five4c['aa'].unique() # for pep in peptides: # coding = five4c[five4c['aa'] == pep] # coding['freq'] = coding['counts'] / coding['counts'].sum() # variants = get_variants(pep) # suma = list() # for idx,c in coding.iterrows(): # suma.append(c['freq']*np.log2(c['freq'])) # entropy = -1*(1.0/np.log2(variants))*sum(suma) # total_count = coding['Reads'].sum() # print pep, total_count, entropy # transformed.append([pep, total_count, entropy,coding.shape[0]]) # transformed.append([pep, total_count, entropy,coding.shape[0]]) # return pd.DataFrame(transformed,columns=['aa','counts','e','variants']) return grp_df def b2h_random_variants(fasta_file, norm=True): """Pipeline for preprocess of random libraries from b2h. Read demultiplexed fasta files, filter non NNS and Frameshift sequences. Returns a Dataframe with the sequences group by AA Parameters ---------- fasta_file : str Path to the fasta file Returns ------- Dataframe Return a dataframe with filtered sequneces ['referenceId', 'Seq', 'Reads', 'nReads'] """ # load data df = read_fasta(fasta_file, norm=False, translate2aa=False) # remove extra stop codons # df['na'] = df['Seq'].str[:-6] # identify non NNS sequences df['NNS'] = df['Seq'].apply(dna.is_bias_on) # identify seq with STOP codons df['STOP'] = df['Seq'].apply(dna.code_4_any) # filter by previous criteria and translate to AA dfc = df[(df['NNS']==True) & (df['STOP']==False)] # Error if any seq complain the filters assert(dfc.shape[0]>0) dfc['aa'] = dfc['Seq'].apply(dna.translate2aa) # group and sum reads grup_sum = dfc.groupby(['aa'],as_index=False)['Reads'].agg(sum) # group and count variants grup_variants = dfc.groupby(['aa'],as_index=False)['Seq'].agg(len) # merge and change name d = pd.merge(grup_sum, grup_variants ,on='aa') d.rename(columns={'Seq':'Vars'},inplace=True) print(fasta_file) return d def b2h_random_entropy(fasta_file, norm=True): """Pipeline for preprocess of random libraries from b2h. Read demultiplexed fasta files, filter non NNS and Frameshift sequences. Returns a Dataframe with the sequences group by AA Parameters ---------- fasta_file : str Path to the fasta file Returns ------- Dataframe Return a dataframe with filtered sequneces ['referenceId', 'Seq', 'Reads', 'nReads'] """ # load data df = read_fasta(fasta_file, norm=False, translate2aa=False) # remove extra stop codons # df['na'] = df['Seq'].str[:-6] # identify non NNS sequences df['NNS'] = df['Seq'].apply(dna.is_bias_on) # identify seq with STOP codons df['STOP'] = df['Seq'].apply(dna.code_4_any) # filter by previous criteria and translate to AA dfc = df[(df['NNS']==True) & (df['STOP']==False)] # Error if any seq complain the filters assert(dfc.shape[0]>0) dfc['aa'] = dfc['Seq'].apply(dna.translate2aa) # group and sum reads df_groups_aa =dfc.groupby('aa') # Calc Shannon Entropy parsed_aa = list() for aa, df_grp in df_groups_aa: # if the group only have one member Check # if is variants = 1, otherwise, 0 Entropy if df_grp.shape[0] == 1: N = dna.possible_encondings(aa) if N == 1: # Seq, Reads, Entropy parsed_aa.append([aa, df_grp['Reads'].sum(),df_grp.shape[0], 1]) else: parsed_aa.append([aa, df_grp['Reads'].sum(),df_grp.shape[0], 0]) else: N = dna.possible_encondings(aa) df_grp['prob'] = df_grp['Reads'] / df_grp['Reads'].sum(skipna=True) df_grp['eprob'] = df_grp['prob'] * (np.log2( df_grp['prob'])) shannon_entropy = -1 * ( (1.0/(np.log2(N))) * (df_grp['eprob'].sum(skipna=True))) # Seq, Reads, Entropy parsed_aa.append([aa, df_grp['Reads'].sum(),df_grp.shape[0], shannon_entropy]) return pd.DataFrame(parsed_aa, columns=['Seq', 'Reads','Var' ,'E'])

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a198f2af69e0aa3584fa981170ac4589a3552a35

63,757

py

Python

SOURCE/scene.py

lathanhthai1905/Pacman-AI

cd00fc9d6e6b21358a2cef54e0000c0cdc50fcc0

[ "MIT" ]

1

2021-03-14T09:46:22.000Z

SOURCE/scene.py

lathanhthai1905/Pacman-AI

cd00fc9d6e6b21358a2cef54e0000c0cdc50fcc0

[ "MIT" ]

null

SOURCE/scene.py

lathanhthai1905/Pacman-AI

cd00fc9d6e6b21358a2cef54e0000c0cdc50fcc0

[ "MIT" ]

null

import handle_input as input import game_flags as flags import game_settings as settings from Object import button from Object import text from Object import pacman from Object import food from Object import monster_easy as monsterE from Object import monster_fx as monsterFx from Object import maze_drawer as drawer from Level_1_2 import path_finding as finding import pygame as pg import os class SceneBase: def __init__(self, screen=None): self.next = self self.screen = screen def ProcessInput(self, events, pressed_keys): print("Did not override this in the child class") def Update(self, deltatime): print("Did not override this in the child class") def Render(self): print("Did not override this in the child class") def SwitchToScene(self, next_scene): self.next = next_scene def Terminate(self): self.SwitchToScene(None) class TitleScene(SceneBase): def __init__(self, screen=None): SceneBase.__init__(self, screen) # Add background self.background, self.background_rect = input.load_image(flags.MISC_TYPE, flags.BG) self.screen.blit(self.background, self.background_rect, self.background_rect) # Buttons self.play_button = button.Button(flags.BUTTONBG) self.play_button.rect = self.play_button.rect.move(245, 250) self.exit_button = button.Button(flags.BUTTONBG) self.exit_button.rect = self.exit_button.rect.move(245, 300) # Texts pg.font.init() path = os.path.join(settings.PATH, 'ASSET', 'Fonts', 'Fipps-Regular.otf') title_font = pg.font.Font(path, 30) self.title = text.Text('PACMAN: We will survive!', title_font, (255, 255, 255)) self.title.text_rect.centerx = self.screen.get_rect().centerx self.screen.blit(self.title.text, self.title.text_rect) play_font = pg.font.Font(path, 15) self.play_text = text.Text('Play', play_font, (255, 255, 255)) self.play_text.text_rect.center = self.play_button.rect.center exit_font = pg.font.Font(path, 15) self.exit_text = text.Text('Exit', exit_font, (255, 255, 255)) self.exit_text.text_rect.center = self.exit_button.rect.center # State self.state = flags.INTRO def ProcessInput(self, events, pressed_keys): for event in events: if event.type == pg.MOUSEBUTTONDOWN: if self.play_button.rect.collidepoint(pg.mouse.get_pos()): self.state = flags.LVLSELECT self.SwitchToScene(LevelSettings(self.screen)) self.play_button.is_over = False if self.exit_button.rect.collidepoint(pg.mouse.get_pos()): self.Terminate() def Update(self, deltatime): ################################################################################## # Collisions # Checks if mouse position is over the button self.play_button.switch() self.exit_button.switch() ################################################################################## def Render(self): self.screen.blit(self.play_button.image, self.play_button.rect) self.screen.blit(self.play_text.text, self.play_text.text_rect) self.screen.blit(self.exit_button.image, self.exit_button.rect) self.screen.blit(self.exit_text.text, self.exit_text.text_rect) class LevelSettings(SceneBase): def __init__(self, screen=None): SceneBase.__init__(self, screen) # Add background self.background, self.background_rect = input.load_image(flags.MISC_TYPE, flags.BG) self.screen.blit(self.background, self.background_rect, self.background_rect) # Title path = os.path.join(settings.PATH, 'ASSET', 'Fonts', 'Fipps-Regular.otf') title_font = pg.font.Font(path, 30) self.title = text.Text('PACMAN: We will survive!', title_font, (255, 255, 255)) self.title.text_rect.centerx = self.screen.get_rect().centerx self.screen.blit(self.title.text, self.title.text_rect) # Buttons self.button_list = [] for _ in range(4): self.button_list.append(button.Button(flags.BUTTONBG)) for idx, bt in enumerate(self.button_list): row_idx = idx // 2 col_idx = idx % 2 x_coor = 100 + col_idx * (150 + 70 + 70) y_coor = 250 + row_idx * (35 + 30) bt.rect = bt.rect.move((x_coor, y_coor)) # Texts self.text_list = [] button_font = pg.font.Font(path, 15) for idx in range(len(self.button_list)): level = 'Level ' + str(idx + 1) self.text_list.append(text.Text(level, button_font, (255, 255, 255))) for idx, t in enumerate(self.text_list): t.text_rect.center = self.button_list[idx].rect.center # State self.state = flags.LVLSELECT def ProcessInput(self, events, pressed_keys): for event in events: if event.type == pg.MOUSEBUTTONDOWN: for idx, bt in enumerate(self.button_list): if bt.rect.collidepoint(pg.mouse.get_pos()): if idx == 0: self.SwitchToScene(MapSettings(self.screen, flags.LVL1)) bt.is_over = False elif idx == 1: self.SwitchToScene(MapSettings(self.screen, flags.LVL2)) bt.is_over = False elif idx == 2: self.SwitchToScene(LevelThree(self.screen)) bt.is_over = False elif idx == 3: self.SwitchToScene(LevelFour(self.screen)) bt.is_over = False def Update(self, deltatime): ################################################################################## # Collisions for bt in self.button_list: bt.switch() ################################################################################## def Render(self): for bt in self.button_list: self.screen.blit(bt.image, bt.rect) for t in self.text_list: self.screen.blit(t.text, t.text_rect) class MapSettings(SceneBase): def __init__(self, screen=None, level=None): SceneBase.__init__(self, screen) # Add background self.background, self.background_rect = input.load_image(flags.MISC_TYPE, flags.LVLBG) self.screen.blit(self.background, self.background_rect, self.background_rect) # Attributes self.level = level self.map = None # Button """Add to button list""" self.button_list = [] if self.level == flags.LVL1: for idx in range(flags.MAPNO1): self.button_list.append(button.Button(flags.MAPBG)) elif self.level == flags.LVL2: for idx in range(flags.MAPNO2): self.button_list.append(button.Button(flags.MAPBG)) elif self.level == flags.LVL3: for idx in range(flags.MAPNO3): self.button_list.append(button.Button(flags.MAPBG)) elif self.level == flags.LVL4: for idx in range(flags.MAPNO4): self.button_list.append(button.Button(flags.MAPBG)) """Modify buttons' rects""" for idx, bt in enumerate(self.button_list): row_idx = idx // 10 col_idx = idx % 10 x_coor = 11 + col_idx * (60 + 1 + 1) y_coor = 60 + row_idx * (60 + 1 + 1) bt.rect = bt.rect.move((x_coor, y_coor)) # Text path = os.path.join(settings.PATH, 'ASSET', 'Fonts', 'Fipps-Regular.otf') title_font = pg.font.Font(path, 30) self.title = text.Text('SELECT MAP', title_font, (255, 255, 255)) self.title.text_rect.centerx = self.screen.get_rect().centerx self.screen.blit(self.title.text, self.title.text_rect) map_font = pg.font.Font(path, 15) self.text_list = [] if self.level == flags.LVL1: for idx in range(flags.MAPNO1): map_name = str(idx + 1) self.text_list.append(text.Text(map_name, map_font, (255, 255, 255))) elif self.level == flags.LVL2: for idx in range(flags.MAPNO2): map_name = str(idx + 1) self.text_list.append(text.Text(map_name, map_font, (255, 255, 255))) elif self.level == flags.LVL3: for idx in range(flags.MAPNO3): map_name = str(idx + 1) self.text_list.append(text.Text(map_name, map_font, (255, 255, 255))) elif self.level == flags.LVL4: for idx in range(flags.MAPNO4): map_name = str(idx + 1) self.text_list.append(text.Text(map_name, map_font, (255, 255, 255))) for idx, t in enumerate(self.text_list): t.text_rect.center = self.button_list[idx].rect.center # State self.state = flags.MAPSELECT def ProcessInput(self, events, pressed_keys): for event in events: if event.type == pg.MOUSEBUTTONDOWN: for idx, bt in enumerate(self.button_list): if bt.rect.collidepoint(pg.mouse.get_pos()): self.map = 'Map-' + str(idx + 1) + '.txt' if self.level == flags.LVL1: self.SwitchToScene(LevelOne(self.screen, self.level, self.map)) bt.is_over = False elif self.level == flags.LVL2: self.SwitchToScene(LevelTwo(self.screen, self.level, self.map)) bt.is_over = False elif self.level == flags.LVL3: self.SwitchToScene(LevelThree(self.screen, self.level, self.map)) bt.is_over = False elif self.level == flags.LVL4: self.SwitchToScene(LevelFour(self.screen, self.level, self.map)) bt.is_over = False def Update(self, deltatime): ################################################################################## # Collisions for bt in self.button_list: bt.switch() ################################################################################## def Render(self): for bt in self.button_list: self.screen.blit(bt.image, bt.rect) for t in self.text_list: self.screen.blit(t.text, t.text_rect) class LevelOne(SceneBase): def __init__(self, screen=None, level=None, map=None): SceneBase.__init__(self, screen) ####################################################################### ####################################################################### ####################################################################### # Level self.level = level self.map = map ####################################################################### ####################################################################### ####################################################################### # Get information about the maze self.size, self.maze, pacmanpos = input.read_file(self.level, self.map) self.adjacents, foodpos = input.handle_adjacent_1(self.maze, self.size) # Resize window width, height = self.size width *= 32 height = (height * 32) + 64 self.screen = pg.display.set_mode((width, height)) ####################################################################### ####################################################################### ####################################################################### # Handle drawing # Maze Drawer self.drawer = drawer.MazeDrawer(self.maze, self.size) self.background, self.background_rect = self.drawer.setup_maze() self.screen.blit(self.background, self.background_rect) # Gameplay self.pacman = pacman.Pacman(pacmanpos) self.pacman_sprite = pg.sprite.Group(self.pacman) self.food = food.Food(foodpos) self.all_sprites = pg.sprite.Group(self.food) ####################################################################### ####################################################################### ####################################################################### # Path finding self.path = finding.A_star(self.maze, self.adjacents, self.pacman.pos, self.food.pos) if self.path and len(self.path) > flags.SCORE: self.path = None if self.path: self.dest_node = self.path.pop(0) elif not self.path: self.dest_node = None self.step = 0 self.score = 0 self.timer = 0 self.countdown_timer = 4 ####################################################################### ####################################################################### ####################################################################### # Objects for each state self.ready_flag = False # Score ##################### self.food_icon = food.Food((height // 32, 0)) self.food_icon.rect.move_ip(20, -48) self.all_sprites.add(self.food_icon) self.food_icon_censor = pg.Surface((32, 32)) self.food_icon_censor.fill((0, 0, 0)) self.food_icon_censor_rect = self.food_icon_censor.get_rect() self.food_icon_censor_rect.center = self.food_icon.rect.center # ########################### path = os.path.join(settings.PATH, 'ASSET', 'Fonts', 'Fipps-Regular.otf') font = pg.font.Font(path, 20) self.score_text = text.Text(str(self.score), font, (33, 3, 255)) self.score_text.text_rect.left = self.food_icon.rect.right self.score_text.text_rect.centery = self.food_icon.rect.centery self.screen.blit(self.score_text.text, self.score_text.text_rect) self.score_censor = pg.Surface((100, 64)) self.score_censor.fill((0, 0, 0)) self.score_censor_rect = self.score_censor.get_rect() self.score_censor_rect.bottom = self.screen.get_rect().bottom self.score_censor_rect.left = self.score_text.text_rect.left # Time ##################### self.time_text = text.Text(str(self.countdown_timer), font, (33, 3, 255)) self.time_text.text_rect.centerx = self.screen.get_rect().centerx self.time_text.text_rect.centery = self.food_icon.rect.centery self.screen.blit(self.time_text.text, self.time_text.text_rect) self.time_censor = pg.Surface((100, 64)) self.time_censor.fill((0, 0, 0)) self.time_censor_rect = self.time_censor.get_rect() self.time_censor_rect.bottom = self.screen.get_rect().bottom self.time_censor_rect.centerx = self.screen.get_rect().centerx ####################################################################### ####################################################################### ####################################################################### # State self.state = flags.HOLD def ProcessInput(self, events, pressed_keys): pass def Update(self, deltatime): # Holding if self.state == flags.HOLD: self.countdown_timer -= deltatime if self.countdown_timer <= 0: self.ready_flag = True self.countdown_timer = 1.5 self.state = flags.PLAYING # Playing elif self.state == flags.PLAYING: self.all_sprites.update(deltatime) self.countdown_timer -= deltatime if self.countdown_timer <= 0: self.ready_flag = False self.timer += deltatime if self.dest_node: if self.pacman.pos == self.dest_node and self.path: self.dest_node = self.path.pop(0) self.step = 0 if self.pacman.pos != self.food.pos: self.pacman.move(self.dest_node, deltatime) self.pacman_sprite.update(deltatime) self.step += 1 if self.step == 32: self.pacman.pos = self.dest_node self.score -= 1 else: self.score += 20 self.countdown_timer = 2.5 self.state = flags.WINNING else: self.countdown_timer = 2.5 self.state = flags.SURRENDER # Winning elif self.state == flags.WINNING: self.countdown_timer -= deltatime if self.countdown_timer <= 0: self.SwitchToScene(Win(self.screen, self.score, self.timer)) # Surrender elif self.state == flags.SURRENDER: self.countdown_timer -= deltatime if self.countdown_timer <= 0: self.SwitchToScene(Surrender(self.screen, self.score, self.timer)) def Render(self): if self.state == flags.HOLD: """Status bar""" self.score_text.update(str(self.score)) self.score_text.text_rect.left = self.food_icon.rect.right self.score_text.text_rect.centery = self.food_icon.rect.centery self.screen.blit(self.score_censor, self.score_censor_rect) ################################################################# self.time_text.update(str(int(self.countdown_timer))) self.time_text.text_rect.centerx = self.screen.get_rect().centerx self.time_text.text_rect.centery = self.food_icon.rect.centery self.screen.blit(self.time_censor, self.time_censor_rect) ################################################################# self.screen.blit(self.score_text.text, self.score_text.text_rect) self.screen.blit(self.time_text.text, self.time_text.text_rect) """Animation""" self.screen.blit(self.background, self.food.rect, self.food.rect) self.screen.blit(self.food_icon_censor, self.food_icon_censor_rect) self.all_sprites.draw(self.screen) self.pacman_sprite.draw(self.screen) elif self.state == flags.PLAYING: """Status bar""" if self.ready_flag: self.score_text.update(str(self.score)) self.score_text.text_rect.left = self.food_icon.rect.right self.score_text.text_rect.centery = self.food_icon.rect.centery self.screen.blit(self.score_censor, self.score_censor_rect) ################################################################# self.time_text.update('GO!') self.time_text.text_rect.centerx = self.screen.get_rect().centerx self.time_text.text_rect.centery = self.food_icon.rect.centery self.screen.blit(self.time_censor, self.time_censor_rect) ################################################################# self.screen.blit(self.score_text.text, self.score_text.text_rect) self.screen.blit(self.time_text.text, self.time_text.text_rect) else: self.score_text.update(str(self.score)) self.score_text.text_rect.left = self.food_icon.rect.right self.score_text.text_rect.centery = self.food_icon.rect.centery self.screen.blit(self.score_censor, self.score_censor_rect) ################################################################# self.time_text.update(str(int(self.timer))) self.time_text.text_rect.centerx = self.screen.get_rect().centerx self.time_text.text_rect.centery = self.food_icon.rect.centery self.screen.blit(self.time_censor, self.time_censor_rect) ################################################################# self.screen.blit(self.score_text.text, self.score_text.text_rect) self.screen.blit(self.time_text.text, self.time_text.text_rect) """Animation""" self.screen.blit(self.background, self.pacman.rect, self.pacman.rect) self.screen.blit(self.background, self.food.rect, self.food.rect) self.screen.blit(self.food_icon_censor, self.food_icon_censor_rect) self.all_sprites.draw(self.screen) self.pacman_sprite.draw(self.screen) elif self.state == flags.WINNING: """Status bar""" self.score_text.update(str(self.score)) self.score_text.text_rect.left = self.food_icon.rect.right self.score_text.text_rect.centery = self.food_icon.rect.centery self.screen.blit(self.score_censor, self.score_censor_rect) ################################################################# self.time_text.update('WIN!') self.time_text.text_rect.centerx = self.screen.get_rect().centerx self.time_text.text_rect.centery = self.food_icon.rect.centery self.screen.blit(self.time_censor, self.time_censor_rect) ################################################################# self.screen.blit(self.score_text.text, self.score_text.text_rect) self.screen.blit(self.time_text.text, self.time_text.text_rect) """Animation""" self.screen.blit(self.background, self.pacman.rect, self.pacman.rect) self.screen.blit(self.food_icon_censor, self.food_icon_censor_rect) self.all_sprites.draw(self.screen) self.screen.blit(self.background, self.food.rect, self.food.rect) self.pacman_sprite.draw(self.screen) elif self.state == flags.SURRENDER: """Status bar""" self.score_text.update(str(self.score)) self.score_text.text_rect.left = self.food_icon.rect.right self.score_text.text_rect.centery = self.food_icon.rect.centery self.screen.blit(self.score_censor, self.score_censor_rect) ################################################################# self.time_text.update('SUR!') self.time_text.text_rect.centerx = self.screen.get_rect().centerx self.time_text.text_rect.centery = self.food_icon.rect.centery self.screen.blit(self.time_censor, self.time_censor_rect) ################################################################# self.screen.blit(self.score_text.text, self.score_text.text_rect) self.screen.blit(self.time_text.text, self.time_text.text_rect) """Animation""" self.screen.blit(self.background, self.pacman.rect, self.pacman.rect) self.screen.blit(self.background, self.food.rect, self.food.rect) self.screen.blit(self.food_icon_censor, self.food_icon_censor_rect) self.all_sprites.draw(self.screen) self.pacman_sprite.draw(self.screen) class LevelTwo(SceneBase): def __init__(self, screen=None, level=None, map=None): SceneBase.__init__(self, screen) ####################################################################### ####################################################################### ####################################################################### # Level self.level = level self.map = map ####################################################################### ####################################################################### ####################################################################### # Get information about the maze self.size, self.maze, pacmanpos = input.read_file(self.level, self.map) self.adjacents, foodpos, monsters = input.handle_adjacent_2(self.maze, self.size) # Resize window width, height = self.size width *= 32 height = (height * 32) + 64 self.screen = pg.display.set_mode((width, height)) ####################################################################### ####################################################################### ####################################################################### # Handle drawing # Maze Drawer self.drawer = drawer.MazeDrawer(self.maze, self.size) self.background, self.background_rect = self.drawer.setup_maze() self.screen.blit(self.background, self.background_rect) # Gameplay self.pacman = pacman.Pacman(pacmanpos) self.pacman_sprite = pg.sprite.Group(self.pacman) self.food = food.Food(foodpos) self.all_sprites = pg.sprite.Group(self.food) # Monsters self.monsters = [] for monster in monsters: self.monsters.append(monsterE.MonsterEasy(monster)) self.monsters_sprite = pg.sprite.Group() for monster in self.monsters: self.monsters_sprite.add(monster) ####################################################################### ####################################################################### ####################################################################### # Path finding self.path = finding.A_star(self.maze, self.adjacents, self.pacman.pos, self.food.pos) if self.path and len(self.path) > flags.SCORE: self.path = None if self.path: self.dest_node = self.path.pop(0) elif not self.path: self.dest_node = None self.step = 0 self.score = 0 self.timer = 0 self.countdown_timer = 4 ####################################################################### ####################################################################### ####################################################################### # Objects for each state self.ready_flag = False # Score ##################### self.food_icon = food.Food((height // 32, 0)) self.food_icon.rect.move_ip(20, -48) self.all_sprites.add(self.food_icon) self.food_icon_censor = pg.Surface((32, 32)) self.food_icon_censor.fill((0, 0, 0)) self.food_icon_censor_rect = self.food_icon_censor.get_rect() self.food_icon_censor_rect.center = self.food_icon.rect.center # ########################### path = os.path.join(settings.PATH, 'ASSET', 'Fonts', 'Fipps-Regular.otf') font = pg.font.Font(path, 20) self.score_text = text.Text(str(self.score), font, (33, 3, 255)) self.score_text.text_rect.left = self.food_icon.rect.right self.score_text.text_rect.centery = self.food_icon.rect.centery self.screen.blit(self.score_text.text, self.score_text.text_rect) self.score_censor = pg.Surface((100, 64)) self.score_censor.fill((0, 0, 0)) self.score_censor_rect = self.score_censor.get_rect() self.score_censor_rect.bottom = self.screen.get_rect().bottom self.score_censor_rect.left = self.score_text.text_rect.left # Time ##################### self.time_text = text.Text(str(self.countdown_timer), font, (33, 3, 255)) self.time_text.text_rect.centerx = self.screen.get_rect().centerx self.time_text.text_rect.centery = self.food_icon.rect.centery self.screen.blit(self.time_text.text, self.time_text.text_rect) self.time_censor = pg.Surface((100, 64)) self.time_censor.fill((0, 0, 0)) self.time_censor_rect = self.time_censor.get_rect() self.time_censor_rect.bottom = self.screen.get_rect().bottom self.time_censor_rect.centerx = self.screen.get_rect().centerx ####################################################################### ####################################################################### ####################################################################### # State self.state = flags.HOLD def ProcessInput(self, events, pressed_keys): pass def Update(self, deltatime): # Holding if self.state == flags.HOLD: self.countdown_timer -= deltatime if self.countdown_timer <= 0: self.ready_flag = True self.countdown_timer = 1.5 self.state = flags.PLAYING # Playing elif self.state == flags.PLAYING: self.all_sprites.update(deltatime) self.monsters_sprite.update(deltatime) self.countdown_timer -= deltatime if self.countdown_timer <= 0: self.ready_flag = False self.timer += deltatime if self.dest_node: if self.pacman.pos == self.dest_node and self.path: self.dest_node = self.path.pop(0) self.step = 0 if self.pacman.pos != self.food.pos: self.pacman.move(self.dest_node, deltatime) self.pacman_sprite.update(deltatime) self.step += 1 if self.step == 32: self.pacman.pos = self.dest_node self.score -= 1 else: self.score += 20 self.countdown_timer = 2.5 self.state = flags.WINNING else: self.countdown_timer = 2.5 self.state = flags.SURRENDER # Winning elif self.state == flags.WINNING: self.countdown_timer -= deltatime if self.countdown_timer <= 0: self.SwitchToScene(Win(self.screen, self.score, self.timer)) # Surrender elif self.state == flags.SURRENDER: self.countdown_timer -= deltatime if self.countdown_timer <= 0: self.SwitchToScene(Surrender(self.screen, self.score, self.timer)) def Render(self): if self.state == flags.HOLD: """Status bar""" self.score_text.update(str(self.score)) self.score_text.text_rect.left = self.food_icon.rect.right self.score_text.text_rect.centery = self.food_icon.rect.centery self.screen.blit(self.score_censor, self.score_censor_rect) ################################################################# self.time_text.update(str(int(self.countdown_timer))) self.time_text.text_rect.centerx = self.screen.get_rect().centerx self.time_text.text_rect.centery = self.food_icon.rect.centery self.screen.blit(self.time_censor, self.time_censor_rect) ################################################################# self.screen.blit(self.score_text.text, self.score_text.text_rect) self.screen.blit(self.time_text.text, self.time_text.text_rect) """Animation""" self.screen.blit(self.background, self.food.rect, self.food.rect) for monster in self.monsters: self.screen.blit(self.background, monster.rect, monster.rect) self.screen.blit(self.food_icon_censor, self.food_icon_censor_rect) self.all_sprites.draw(self.screen) self.monsters_sprite.draw(self.screen) self.pacman_sprite.draw(self.screen) elif self.state == flags.PLAYING: """Status bar""" if self.ready_flag: self.score_text.update(str(self.score)) self.score_text.text_rect.left = self.food_icon.rect.right self.score_text.text_rect.centery = self.food_icon.rect.centery self.screen.blit(self.score_censor, self.score_censor_rect) ################################################################# self.time_text.update('GO!') self.time_text.text_rect.centerx = self.screen.get_rect().centerx self.time_text.text_rect.centery = self.food_icon.rect.centery self.screen.blit(self.time_censor, self.time_censor_rect) ################################################################# self.screen.blit(self.score_text.text, self.score_text.text_rect) self.screen.blit(self.time_text.text, self.time_text.text_rect) else: self.score_text.update(str(self.score)) self.score_text.text_rect.left = self.food_icon.rect.right self.score_text.text_rect.centery = self.food_icon.rect.centery self.screen.blit(self.score_censor, self.score_censor_rect) ################################################################# self.time_text.update(str(int(self.timer))) self.time_text.text_rect.centerx = self.screen.get_rect().centerx self.time_text.text_rect.centery = self.food_icon.rect.centery self.screen.blit(self.time_censor, self.time_censor_rect) ################################################################# self.screen.blit(self.score_text.text, self.score_text.text_rect) self.screen.blit(self.time_text.text, self.time_text.text_rect) """Animation""" self.screen.blit(self.background, self.pacman.rect, self.pacman.rect) self.screen.blit(self.background, self.food.rect, self.food.rect) for monster in self.monsters: self.screen.blit(self.background, monster.rect, monster.rect) self.screen.blit(self.food_icon_censor, self.food_icon_censor_rect) self.all_sprites.draw(self.screen) self.monsters_sprite.draw(self.screen) self.pacman_sprite.draw(self.screen) elif self.state == flags.WINNING: """Status bar""" self.score_text.update(str(self.score)) self.score_text.text_rect.left = self.food_icon.rect.right self.score_text.text_rect.centery = self.food_icon.rect.centery self.screen.blit(self.score_censor, self.score_censor_rect) ################################################################# self.time_text.update('WIN!') self.time_text.text_rect.centerx = self.screen.get_rect().centerx self.time_text.text_rect.centery = self.food_icon.rect.centery self.screen.blit(self.time_censor, self.time_censor_rect) ################################################################# self.screen.blit(self.score_text.text, self.score_text.text_rect) self.screen.blit(self.time_text.text, self.time_text.text_rect) """Animation""" self.screen.blit(self.background, self.pacman.rect, self.pacman.rect) for monster in self.monsters: self.screen.blit(self.background, monster.rect, monster.rect) self.screen.blit(self.food_icon_censor, self.food_icon_censor_rect) self.all_sprites.draw(self.screen) self.screen.blit(self.background, self.food.rect, self.food.rect) self.monsters_sprite.draw(self.screen) self.pacman_sprite.draw(self.screen) elif self.state == flags.SURRENDER: """Status bar""" self.score_text.update(str(self.score)) self.score_text.text_rect.left = self.food_icon.rect.right self.score_text.text_rect.centery = self.food_icon.rect.centery self.screen.blit(self.score_censor, self.score_censor_rect) ################################################################# self.time_text.update('SUR!') self.time_text.text_rect.centerx = self.screen.get_rect().centerx self.time_text.text_rect.centery = self.food_icon.rect.centery self.screen.blit(self.time_censor, self.time_censor_rect) ################################################################# self.screen.blit(self.score_text.text, self.score_text.text_rect) self.screen.blit(self.time_text.text, self.time_text.text_rect) """Animation""" self.screen.blit(self.background, self.pacman.rect, self.pacman.rect) self.screen.blit(self.background, self.food.rect, self.food.rect) for monster in self.monsters: self.screen.blit(self.background, monster.rect, monster.rect) self.screen.blit(self.food_icon_censor, self.food_icon_censor_rect) self.all_sprites.draw(self.screen) self.monsters_sprite.draw(self.screen) self.pacman_sprite.draw(self.screen) class LevelThree(SceneBase): def __init__(self, screen=None, level=None, map=None): SceneBase.__init__(self, screen) # Title path = os.path.join(settings.PATH, 'ASSET', 'Fonts', 'Fipps-Regular.otf') title_font = pg.font.Font(path, 30) self.title = text.Text('NOT IMPLEMENTED YET!', title_font, (255, 255, 255)) self.title.text_rect.center = self.screen.get_rect().center self.screen.blit(self.title.text, self.title.text_rect) # Buttons self.button_list = [] for _ in range(2): self.button_list.append(button.Button(flags.BUTTONBG)) for idx, bt in enumerate(self.button_list): row_idx = idx // 2 col_idx = idx % 2 x_coor = 100 + col_idx * (150 + 70 + 70) y_coor = 300 + row_idx * (35 + 30) bt.rect = bt.rect.move((x_coor, y_coor)) # Texts on buttons self.text_list = [] button_font = pg.font.Font(path, 15) for idx in range(len(self.button_list)): if idx == 0: txt = 'Reset' elif idx == 1: txt = 'Exit' self.text_list.append(text.Text(txt, button_font, (255, 255, 255))) for idx, t in enumerate(self.text_list): t.text_rect.center = self.button_list[idx].rect.center def ProcessInput(self, events, pressed_keys): for event in events: if event.type == pg.MOUSEBUTTONDOWN: for idx, bt in enumerate(self.button_list): if bt.rect.collidepoint(pg.mouse.get_pos()): if idx == 0: self.SwitchToScene(LevelSettings(self.screen)) bt.is_over = False elif idx == 1: self.Terminate() def Update(self, deltatime): ################################################################################## # Collisions for bt in self.button_list: bt.switch() ################################################################################## def Render(self): # The game scene is just a blue screen self.screen.fill((0, 0, 255)) self.screen.blit(self.title.text, self.title.text_rect) """Interactive UI""" for bt in self.button_list: self.screen.blit(bt.image, bt.rect) for t in self.text_list: self.screen.blit(t.text, t.text_rect) class LevelFour(SceneBase): def __init__(self, screen=None, level=None, map=None): SceneBase.__init__(self, screen) # Title path = os.path.join(settings.PATH, 'ASSET', 'Fonts', 'Fipps-Regular.otf') title_font = pg.font.Font(path, 30) self.title = text.Text('NOT IMPLEMENTED YET!', title_font, (255, 255, 255)) self.title.text_rect.center = self.screen.get_rect().center # Buttons self.button_list = [] for _ in range(2): self.button_list.append(button.Button(flags.BUTTONBG)) for idx, bt in enumerate(self.button_list): row_idx = idx // 2 col_idx = idx % 2 x_coor = 100 + col_idx * (150 + 70 + 70) y_coor = 300 + row_idx * (35 + 30) bt.rect = bt.rect.move((x_coor, y_coor)) # Texts on buttons self.text_list = [] button_font = pg.font.Font(path, 15) for idx in range(len(self.button_list)): if idx == 0: txt = 'Reset' elif idx == 1: txt = 'Exit' self.text_list.append(text.Text(txt, button_font, (255, 255, 255))) for idx, t in enumerate(self.text_list): t.text_rect.center = self.button_list[idx].rect.center def ProcessInput(self, events, pressed_keys): for event in events: if event.type == pg.MOUSEBUTTONDOWN: for idx, bt in enumerate(self.button_list): if bt.rect.collidepoint(pg.mouse.get_pos()): if idx == 0: self.SwitchToScene(LevelSettings(self.screen)) bt.is_over = False elif idx == 1: self.Terminate() def Update(self, deltatime): ################################################################################## # Collisions for bt in self.button_list: bt.switch() ################################################################################## def Render(self): # The game scene is just a blue screen self.screen.fill((0, 0, 255)) self.screen.blit(self.title.text, self.title.text_rect) """Interactive UI""" for bt in self.button_list: self.screen.blit(bt.image, bt.rect) for t in self.text_list: self.screen.blit(t.text, t.text_rect) class Win(SceneBase): def __init__(self, screen=None, score=0, time=0): SceneBase.__init__(self, screen) # Add background self.screen = pg.display.set_mode((settings.WIDTH, settings.HEIGHT)) self.screen.fill((0, 0, 0)) # Attributes self.inc_score = 0 self.inc_time = 0 self.score = score self.time = time # Title path = os.path.join(settings.PATH, 'ASSET', 'Fonts', 'Fipps-Regular.otf') title_font = pg.font.Font(path, 30) self.title = text.Text('WINNN!', title_font, (255, 255, 255)) self.title.text_rect.centerx = self.screen.get_rect().centerx self.screen.blit(self.title.text, self.title.text_rect) # Buttons self.button_list = [] for _ in range(2): self.button_list.append(button.Button(flags.BUTTONBG)) for idx, bt in enumerate(self.button_list): row_idx = idx // 2 col_idx = idx % 2 x_coor = 100 + col_idx * (150 + 70 + 70) y_coor = 300 + row_idx * (35 + 30) bt.rect = bt.rect.move((x_coor, y_coor)) # Texts on buttons self.text_list = [] button_font = pg.font.Font(path, 15) for idx in range(len(self.button_list)): if idx == 0: txt = 'Reset' elif idx == 1: txt = 'Exit' self.text_list.append(text.Text(txt, button_font, (255, 255, 255))) for idx, t in enumerate(self.text_list): t.text_rect.center = self.button_list[idx].rect.center # Information texts ################################################################# info_font = pg.font.Font(path, 20) # Score self.s_text = text.Text('Score: ', info_font, (255, 255, 255)) self.s_text.text_rect.right = self.screen.get_rect().centerx self.s_text.text_rect.centery = self.screen.get_rect().centery self.s_text.text_rect.move_ip(0, -50) self.screen.blit(self.s_text.text, self.s_text.text_rect) self.score_text = text.Text(str(self.inc_score), info_font, (255, 255, 255)) self.score_text.text_rect.left = self.screen.get_rect().centerx self.score_text.text_rect.centery = self.screen.get_rect().centery self.score_text.text_rect.move_ip(0, -50) self.screen.blit(self.score_text.text, self.score_text.text_rect) self.score_censor = pg.Surface((150, 50)) self.score_censor.fill((0, 0, 0)) self.score_censor_rect = self.score_censor.get_rect() self.score_censor_rect.centery = self.score_text.text_rect.centery self.score_censor_rect.left = self.score_text.text_rect.left ################################################################# # Time self.t_text = text.Text('Time: ', info_font, (255, 255, 255)) self.t_text.text_rect.right = self.screen.get_rect().centerx self.t_text.text_rect.centery = self.screen.get_rect().centery self.screen.blit(self.t_text.text, self.t_text.text_rect) self.time_text = text.Text(str(self.inc_time), info_font, (255, 255, 255)) self.time_text.text_rect.left = self.screen.get_rect().centerx self.time_text.text_rect.centery = self.screen.get_rect().centery self.screen.blit(self.time_text.text, self.time_text.text_rect) self.time_censor = pg.Surface((150, 50)) self.time_censor.fill((0, 0, 0)) self.time_censor_rect = self.time_censor.get_rect() self.time_censor_rect.centery = self.time_text.text_rect.centery self.time_censor_rect.left = self.time_text.text_rect.left # FX self.monster = monsterFx.MonsterFx() self.monster.rect.center = self.screen.get_rect().center self.monster .rect.move_ip(0, 50) self.fx = pg.sprite.Group(self.monster) self.fx_censor = pg.Surface((32, 32)) self.fx_censor.fill((0, 0, 0)) self.fx_censor_rect = self.fx_censor.get_rect() self.fx_censor_rect.center = self.monster.rect.center # Countdown self.countdown = 1.5 # State self.state = flags.WINNING def ProcessInput(self, events, pressed_keys): for event in events: if event.type == pg.MOUSEBUTTONDOWN: for idx, bt in enumerate(self.button_list): if bt.rect.collidepoint(pg.mouse.get_pos()): if idx == 0: self.SwitchToScene(LevelSettings(self.screen)) bt.is_over = False elif idx == 1: self.Terminate() def Update(self, deltatime): ################################################################################## # Collisions for bt in self.button_list: bt.switch() ################################################################################## self.countdown -= deltatime if self.countdown <= 0: if self.inc_score < self.score: self.inc_score += 1 if self.inc_time < self.time: self.inc_time += 1 self.fx.update(deltatime) def Render(self): """Interactive UI""" for bt in self.button_list: self.screen.blit(bt.image, bt.rect) for t in self.text_list: self.screen.blit(t.text, t.text_rect) """Information result""" ################################################################################## self.score_text.update(str(self.inc_score)) self.score_text.text_rect.left = self.screen.get_rect().centerx self.score_text.text_rect.centery = self.screen.get_rect().centery self.score_text.text_rect.move_ip(0, -50) self.screen.blit(self.score_censor, self.score_censor_rect) ################################################################################## self.time_text.update(str(self.inc_time)) self.time_text.text_rect.left = self.screen.get_rect().centerx self.time_text.text_rect.centery = self.screen.get_rect().centery self.screen.blit(self.time_censor, self.time_censor_rect) ################################################################################## self.screen.blit(self.score_text.text, self.score_text.text_rect) self.screen.blit(self.time_text.text, self.time_text.text_rect) """FX""" self.screen.blit(self.fx_censor, self.fx_censor_rect) self.fx.draw(self.screen) class GameOver(SceneBase): def __init__(self, screen=None, score=0, time=0): SceneBase.__init__(self, screen) # Add background self.screen = pg.display.set_mode((settings.WIDTH, settings.HEIGHT)) self.screen.fill((0, 0, 0)) # Attributes self.inc_score = 0 self.inc_time = 0 self.score = score self.time = time # Title path = os.path.join(settings.PATH, 'ASSET', 'Fonts', 'Fipps-Regular.otf') title_font = pg.font.Font(path, 30) self.title = text.Text('LOSEEE!', title_font, (255, 255, 255)) self.title.text_rect.centerx = self.screen.get_rect().centerx self.screen.blit(self.title.text, self.title.text_rect) # Buttons self.button_list = [] for _ in range(2): self.button_list.append(button.Button(flags.BUTTONBG)) for idx, bt in enumerate(self.button_list): row_idx = idx // 2 col_idx = idx % 2 x_coor = 100 + col_idx * (150 + 70 + 70) y_coor = 300 + row_idx * (35 + 30) bt.rect = bt.rect.move((x_coor, y_coor)) # Texts on buttons self.text_list = [] button_font = pg.font.Font(path, 15) for idx in range(len(self.button_list)): if idx == 0: txt = 'Reset' elif idx == 1: txt = 'Exit' self.text_list.append(text.Text(txt, button_font, (255, 255, 255))) for idx, t in enumerate(self.text_list): t.text_rect.center = self.button_list[idx].rect.center # Information texts ################################################################# info_font = pg.font.Font(path, 20) # Score self.s_text = text.Text('Score: ', info_font, (255, 255, 255)) self.s_text.text_rect.right = self.screen.get_rect().centerx self.s_text.text_rect.centery = self.screen.get_rect().centery self.s_text.text_rect.move_ip(0, -50) self.screen.blit(self.s_text.text, self.s_text.text_rect) self.score_text = text.Text(str(self.inc_score), info_font, (255, 255, 255)) self.score_text.text_rect.left = self.screen.get_rect().centerx self.score_text.text_rect.centery = self.screen.get_rect().centery self.score_text.text_rect.move_ip(0, -50) self.screen.blit(self.score_text.text, self.score_text.text_rect) self.score_censor = pg.Surface((150, 50)) self.score_censor.fill((0, 0, 0)) self.score_censor_rect = self.score_censor.get_rect() self.score_censor_rect.centery = self.score_text.text_rect.centery self.score_censor_rect.left = self.score_text.text_rect.left ################################################################# # Time self.t_text = text.Text('Time: ', info_font, (255, 255, 255)) self.t_text.text_rect.right = self.screen.get_rect().centerx self.t_text.text_rect.centery = self.screen.get_rect().centery self.screen.blit(self.t_text.text, self.t_text.text_rect) self.time_text = text.Text(str(self.inc_time), info_font, (255, 255, 255)) self.time_text.text_rect.left = self.screen.get_rect().centerx self.time_text.text_rect.centery = self.screen.get_rect().centery self.screen.blit(self.time_text.text, self.time_text.text_rect) self.time_censor = pg.Surface((150, 50)) self.time_censor.fill((0, 0, 0)) self.time_censor_rect = self.time_censor.get_rect() self.time_censor_rect.centery = self.time_text.text_rect.centery self.time_censor_rect.left = self.time_text.text_rect.left # FX self.pacman = pacman.Pacman() self.pacman.rect.center = self.screen.get_rect().center self.pacman.rect.move_ip(0, 50) self.fx = pg.sprite.Group(self.pacman) self.fx_censor = pg.Surface((32, 32)) self.fx_censor.fill((0, 0, 0)) self.fx_censor_rect = self.fx_censor.get_rect() self.fx_censor_rect.center = self.pacman.rect.center # Countdown self.countdown = 1.5 # State self.state = flags.WINNING def ProcessInput(self, events, pressed_keys): for event in events: if event.type == pg.MOUSEBUTTONDOWN: for idx, bt in enumerate(self.button_list): if bt.rect.collidepoint(pg.mouse.get_pos()): if idx == 0: self.SwitchToScene(LevelSettings(self.screen)) bt.is_over = False elif idx == 1: self.Terminate() def Update(self, deltatime): ################################################################################## # Collisions for bt in self.button_list: bt.switch() ################################################################################## self.countdown -= deltatime if self.countdown <= 0: if self.inc_score < self.score: self.inc_score += 1 if self.inc_time < self.time: self.inc_time += 1 self.fx.update(deltatime) def Render(self): """Interactive UI""" for bt in self.button_list: self.screen.blit(bt.image, bt.rect) for t in self.text_list: self.screen.blit(t.text, t.text_rect) """Information result""" ################################################################################## self.score_text.update(str(self.inc_score)) self.score_text.text_rect.left = self.screen.get_rect().centerx self.score_text.text_rect.centery = self.screen.get_rect().centery self.score_text.text_rect.move_ip(0, -50) self.screen.blit(self.score_censor, self.score_censor_rect) ################################################################################## self.time_text.update(str(self.inc_time)) self.time_text.text_rect.left = self.screen.get_rect().centerx self.time_text.text_rect.centery = self.screen.get_rect().centery self.screen.blit(self.time_censor, self.time_censor_rect) ################################################################################## self.screen.blit(self.score_text.text, self.score_text.text_rect) self.screen.blit(self.time_text.text, self.time_text.text_rect) """FX""" self.screen.blit(self.fx_censor, self.fx_censor_rect) self.fx.draw(self.screen) class Surrender(SceneBase): def __init__(self, screen=None, score=0, time=0): SceneBase.__init__(self, screen) # Add background self.screen = pg.display.set_mode((settings.WIDTH, settings.HEIGHT)) self.screen.fill((0, 0, 0)) # Attributes self.inc_score = 0 self.inc_time = 0 self.score = score self.time = time # Title path = os.path.join(settings.PATH, 'ASSET', 'Fonts', 'Fipps-Regular.otf') title_font = pg.font.Font(path, 30) self.title = text.Text('SURRENDERRR!', title_font, (255, 255, 255)) self.title.text_rect.centerx = self.screen.get_rect().centerx self.screen.blit(self.title.text, self.title.text_rect) # Buttons self.button_list = [] for _ in range(2): self.button_list.append(button.Button(flags.BUTTONBG)) for idx, bt in enumerate(self.button_list): row_idx = idx // 2 col_idx = idx % 2 x_coor = 100 + col_idx * (150 + 70 + 70) y_coor = 300 + row_idx * (35 + 30) bt.rect = bt.rect.move((x_coor, y_coor)) # Texts on buttons self.text_list = [] button_font = pg.font.Font(path, 15) for idx in range(len(self.button_list)): if idx == 0: txt = 'Reset' elif idx == 1: txt = 'Exit' self.text_list.append(text.Text(txt, button_font, (255, 255, 255))) for idx, t in enumerate(self.text_list): t.text_rect.center = self.button_list[idx].rect.center # Information texts ################################################################# info_font = pg.font.Font(path, 20) # Score self.s_text = text.Text('Score: ', info_font, (255, 255, 255)) self.s_text.text_rect.right = self.screen.get_rect().centerx self.s_text.text_rect.centery = self.screen.get_rect().centery self.s_text.text_rect.move_ip(0, -50) self.screen.blit(self.s_text.text, self.s_text.text_rect) self.score_text = text.Text(str(self.inc_score), info_font, (255, 255, 255)) self.score_text.text_rect.left = self.screen.get_rect().centerx self.score_text.text_rect.centery = self.screen.get_rect().centery self.score_text.text_rect.move_ip(0, -50) self.screen.blit(self.score_text.text, self.score_text.text_rect) self.score_censor = pg.Surface((150, 50)) self.score_censor.fill((0, 0, 0)) self.score_censor_rect = self.score_censor.get_rect() self.score_censor_rect.centery = self.score_text.text_rect.centery self.score_censor_rect.left = self.score_text.text_rect.left ################################################################# # Time self.t_text = text.Text('Time: ', info_font, (255, 255, 255)) self.t_text.text_rect.right = self.screen.get_rect().centerx self.t_text.text_rect.centery = self.screen.get_rect().centery self.screen.blit(self.t_text.text, self.t_text.text_rect) self.time_text = text.Text(str(self.inc_time), info_font, (255, 255, 255)) self.time_text.text_rect.left = self.screen.get_rect().centerx self.time_text.text_rect.centery = self.screen.get_rect().centery self.screen.blit(self.time_text.text, self.time_text.text_rect) self.time_censor = pg.Surface((150, 50)) self.time_censor.fill((0, 0, 0)) self.time_censor_rect = self.time_censor.get_rect() self.time_censor_rect.centery = self.time_text.text_rect.centery self.time_censor_rect.left = self.time_text.text_rect.left # FX self.pacman = pacman.Pacman() self.pacman.rect.center = self.screen.get_rect().center self.pacman.rect.move_ip(0, 50) self.fx = pg.sprite.Group(self.pacman) self.fx_censor = pg.Surface((32, 32)) self.fx_censor.fill((0, 0, 0)) self.fx_censor_rect = self.fx_censor.get_rect() self.fx_censor_rect.center = self.pacman.rect.center # Countdown self.countdown = 1.5 # State self.state = flags.WINNING def ProcessInput(self, events, pressed_keys): for event in events: if event.type == pg.MOUSEBUTTONDOWN: for idx, bt in enumerate(self.button_list): if bt.rect.collidepoint(pg.mouse.get_pos()): if idx == 0: self.SwitchToScene(LevelSettings(self.screen)) bt.is_over = False elif idx == 1: self.Terminate() def Update(self, deltatime): ################################################################################## # Collisions for bt in self.button_list: bt.switch() ################################################################################## self.countdown -= deltatime if self.countdown <= 0: if self.inc_score < self.score: self.inc_score += 1 if self.inc_time < self.time: self.inc_time += 1 self.fx.update(deltatime) def Render(self): """Interactive UI""" for bt in self.button_list: self.screen.blit(bt.image, bt.rect) for t in self.text_list: self.screen.blit(t.text, t.text_rect) """Information result""" ################################################################################## self.score_text.update(str(self.inc_score)) self.score_text.text_rect.left = self.screen.get_rect().centerx self.score_text.text_rect.centery = self.screen.get_rect().centery self.score_text.text_rect.move_ip(0, -50) self.screen.blit(self.score_censor, self.score_censor_rect) ################################################################################## self.time_text.update(str(self.inc_time)) self.time_text.text_rect.left = self.screen.get_rect().centerx self.time_text.text_rect.centery = self.screen.get_rect().centery self.screen.blit(self.time_censor, self.time_censor_rect) ################################################################################## self.screen.blit(self.score_text.text, self.score_text.text_rect) self.screen.blit(self.time_text.text, self.time_text.text_rect) """FX""" self.screen.blit(self.fx_censor, self.fx_censor_rect) self.fx.draw(self.screen)

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63,757

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a1a3441b3dc002582e197246a1220574cdf20c05

14,814

py

Python

service/paginationlog.py

citang/opencanary_web

8b8de894623e1a583e87aa8e6fd11b941d7c0c33

[ "BSD-3-Clause" ]

null

service/paginationlog.py

citang/opencanary_web

8b8de894623e1a583e87aa8e6fd11b941d7c0c33

[ "BSD-3-Clause" ]

null

service/paginationlog.py

citang/opencanary_web

8b8de894623e1a583e87aa8e6fd11b941d7c0c33

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python # -*- coding:utf-8 -*- from dbs.dal.LogOperate import LogOp logselect = LogOp() def listpage(param): if "white" in param and "page" in param: page = param["page"] # print page page_list = [] second_page_list = [] for i in logselect.page_select_white(page): dict_param = {"id": i.id, "dst_host": i.dst_host, "dst_port": i.dst_port, "honeycred": i.honeycred, "local_time": i.local_time.strftime("%Y-%m-%d %H:%M:%S"), "hostname": i.hostname, \ "password": i.password, "path": i.path, "skin": i.skin, "useragent": i.useragent, "username": i.username, "session": i.session, "localversion": i.localversion, \ "remoteversion": i.remoteversion, "df": i.df, "idid": i.idid, "inin": i.inin, "lenlen": i.lenlen, "mac": i.mac, "outout": i.outout, "prec": i.prec, \ "proto": i.proto, "res": i.res, "syn": i.syn, "tos": i.tos, "ttl": i.ttl, "urgp": i.urgp, "window": i.window, "logtype": i.logtype, \ "node_id": i.node_id, "src_host": i.src_host, "src_port": i.src_port, "repo": i.repo, "ntp_cmd": i.ntp_cmd, "args": i.args, "cmd": i.cmd, "banner_id": i.banner_id, \ "data": i.data, "function": i.function, "vnc_client_response": i.vnc_client_response, "vnc_password": i.vnc_password, "vnc_server_challenge": i.vnc_server_challenge, \ "inputs": i.inputs, "domain": i.domain, "headers_call_id": i.headers_call_id, "headers_content_length": i.headers_content_length, "headers_cseq": i.headers_cseq, \ "headers_from": i.headers_from, "headers_to": i.headers_to, "headers_via": i.headers_via, "community_string": i.community_string, "requests": i.requests, \ "urg": i.urg, "psh": i.psh, "fin": i.fin, "appname": i.appname, "cltintname": i.cltintname, "database": i.database, "language": i.language, "servername": i.servername, "domainname": i.domainname} page_list.append(dict_param) for i in page_list: # print i if i["logtype"] == '2000': i["logtype"] = 'ftp登录尝试' elif i["logtype"] == '3000': i["logtype"] = 'web蜜罐被访问' elif i["logtype"] == '3001': i["logtype"] = 'web蜜罐被登录' elif i["logtype"] == '4000': i["logtype"] = 'ssh建立连接' elif i["logtype"] == '4001': i["logtype"] = 'ssh远程版本发送' elif i["logtype"] == '4002': i["logtype"] = 'ssh登录尝试' elif i["logtype"] == '6001': i["logtype"] = 'telnet登录尝试' elif i["logtype"] == '5001': i["logtype"] = '端口(SYN)扫描' elif i["logtype"] == '8001': i["logtype"] = 'mysql登录尝试' elif i["logtype"] == '16001': i["logtype"] = 'git clone请求' elif i["logtype"] == '11001': i["logtype"] = 'ntp monlist请求' elif i["logtype"] == '17001': i["logtype"] = 'redis命令' elif i["logtype"] == '18001' or i["logtype"] == '18002' or i["logtype"] == '18003' or i[ "logtype"] == '18004' or i["logtype"] == '18005': i["logtype"] = 'tcp连接请求' elif i["logtype"] == '12001': i["logtype"] = 'vnc连接' elif i["logtype"] == '14001': i["logtype"] = 'windows远程登录' elif i["logtype"] == '13001': i["logtype"] = 'snmp扫描' elif i["logtype"] == '15001': i["logtype"] = 'sip请求' elif i["logtype"] == '5002': i["logtype"] = 'nmap os扫描' elif i["logtype"] == '5003': i["logtype"] = 'nmap null扫描' elif i["logtype"] == '5004': i["logtype"] = 'nmap xmas扫描' elif i["logtype"] == '5005': i["logtype"] = 'nmap fin扫描' elif i["logtype"] == '9001': i["logtype"] = 'mssql登录sql账户认证' elif i["logtype"] == '9002': i["logtype"] = 'mssql登录win身份认证' elif i["logtype"] == '7001': i["logtype"] = 'http代理登录尝试' second_dict_param = {"id": i["id"], "dst_host": i["dst_host"], "dst_port": i["dst_port"], "honeycred": i["honeycred"], "local_time": i["local_time"], "hostname": i["hostname"], \ "password": i["password"], "path": i["path"], "skin": i["skin"], "useragent": i["useragent"], "username": i["username"], "session": i["session"], "localversion": i["localversion"], \ "remoteversion": i["remoteversion"], "df": i["df"], "idid": i["idid"], "inin": i["inin"], "lenlen": i["lenlen"], "mac": i["mac"], "outout": i["outout"], "prec": i["prec"], \ "proto": i["proto"], "res": i["res"], "syn": i["syn"], "tos": i["tos"], "ttl": i["ttl"], "urgp": i["urgp"], "window": i["window"], "logtype": i["logtype"], \ "node_id": i["node_id"], "src_host": i["src_host"], "src_port": i["src_port"], "repo": i["repo"], "ntp_cmd": i["ntp_cmd"], "args": i["args"], "cmd": i["cmd"], "banner_id": i["banner_id"], \ "data": i["data"], "function": i["function"], "vnc_client_response": i["vnc_client_response"], "vnc_password": i["vnc_password"], "vnc_server_challenge": i["vnc_server_challenge"], \ "inputs": i["inputs"], "domain": i["domain"], "headers_call_id": i["headers_call_id"], "headers_content_length": i["headers_content_length"], "headers_cseq": i["headers_cseq"], \ "headers_from": i["headers_from"], "headers_to": i["headers_to"], "headers_via": i["headers_via"], "community_string": i["community_string"], "requests": i["requests"], \ "urg": i["urg"], "psh": i["psh"], "fin": i["fin"], "appname": i["appname"], "cltintname": i["cltintname"], "database": i["database"], "language": i["language"], \ "servername": i["servername"], "domainname": i["domainname"]} second_page_list.append(second_dict_param) page_res = {"list": second_page_list} # print page_res return page_res else: if "page" in param: page = param["page"] # print page page_list = [] second_page_list = [] for i in logselect.page_select_attack(page): dict_param = {"id": i.id, "dst_host": i.dst_host, "dst_port": i.dst_port, "honeycred": i.honeycred, "local_time": i.local_time.strftime("%Y-%m-%d %H:%M:%S"), "hostname": i.hostname, \ "password": i.password, "path": i.path, "skin": i.skin, "useragent": i.useragent, "username": i.username, "session": i.session, "localversion": i.localversion, \ "remoteversion": i.remoteversion, "df": i.df, "idid": i.idid, "inin": i.inin, "lenlen": i.lenlen, "mac": i.mac, "outout": i.outout, "prec": i.prec, \ "proto": i.proto, "res": i.res, "syn": i.syn, "tos": i.tos, "ttl": i.ttl, "urgp": i.urgp, "window": i.window, "logtype": i.logtype, \ "node_id": i.node_id, "src_host": i.src_host, "src_port": i.src_port, "repo": i.repo, "ntp_cmd": i.ntp_cmd, "args": i.args, "cmd": i.cmd, "banner_id": i.banner_id, \ "data": i.data, "function": i.function, "vnc_client_response": i.vnc_client_response, "vnc_password": i.vnc_password, "vnc_server_challenge": i.vnc_server_challenge, \ "inputs": i.inputs, "domain": i.domain, "headers_call_id": i.headers_call_id, "headers_content_length": i.headers_content_length, "headers_cseq": i.headers_cseq, \ "headers_from": i.headers_from, "headers_to": i.headers_to, "headers_via": i.headers_via, "community_string": i.community_string, "requests": i.requests, \ "urg": i.urg, "psh": i.psh, "fin": i.fin, "appname": i.appname, "cltintname": i.cltintname, "database": i.database, "language": i.language, "servername": i.servername, "domainname": i.domainname} page_list.append(dict_param) for i in page_list: # print i if i["logtype"] == '2000': i["logtype"] = 'ftp登录尝试' elif i["logtype"] == '3000': i["logtype"] = 'web蜜罐被访问' elif i["logtype"] == '3001': i["logtype"] = 'web蜜罐被登录' elif i["logtype"] == '4000': i["logtype"] = 'ssh建立连接' elif i["logtype"] == '4001': i["logtype"] = 'ssh远程版本发送' elif i["logtype"] == '4002': i["logtype"] = 'ssh登录尝试' elif i["logtype"] == '6001': i["logtype"] = 'telnet登录尝试' elif i["logtype"] == '5001': i["logtype"] = '端口(SYN)扫描' elif i["logtype"] == '8001': i["logtype"] = 'mysql登录尝试' elif i["logtype"] == '16001': i["logtype"] = 'git clone请求' elif i["logtype"] == '11001': i["logtype"] = 'ntp monlist请求' elif i["logtype"] == '17001': i["logtype"] = 'redis命令' elif i["logtype"] == '18001' or i["logtype"] == '18002' or i["logtype"] == '18003' or i[ "logtype"] == '18004' or i["logtype"] == '18005': i["logtype"] = 'tcp连接请求' elif i["logtype"] == '12001': i["logtype"] = 'vnc连接' elif i["logtype"] == '14001': i["logtype"] = 'windows远程登录' elif i["logtype"] == '13001': i["logtype"] = 'snmp扫描' elif i["logtype"] == '15001': i["logtype"] = 'sip请求' elif i["logtype"] == '5002': i["logtype"] = 'nmap os扫描' elif i["logtype"] == '5003': i["logtype"] = 'nmap null扫描' elif i["logtype"] == '5004': i["logtype"] = 'nmap xmas扫描' elif i["logtype"] == '5005': i["logtype"] = 'nmap fin扫描' elif i["logtype"] == '9001': i["logtype"] = 'mssql登录sql账户认证' elif i["logtype"] == '9002': i["logtype"] = 'mssql登录win身份认证' elif i["logtype"] == '7001': i["logtype"] = 'http代理登录尝试' second_dict_param = {"id": i["id"], "dst_host": i["dst_host"], "dst_port": i["dst_port"], "honeycred": i["honeycred"], "local_time": i["local_time"], "hostname": i["hostname"], \ "password": i["password"], "path": i["path"], "skin": i["skin"], "useragent": i["useragent"], "username": i["username"], "session": i["session"], "localversion": i["localversion"], \ "remoteversion": i["remoteversion"], "df": i["df"], "idid": i["idid"], "inin": i["inin"], "lenlen": i["lenlen"], "mac": i["mac"], "outout": i["outout"], "prec": i["prec"], \ "proto": i["proto"], "res": i["res"], "syn": i["syn"], "tos": i["tos"], "ttl": i["ttl"], "urgp": i["urgp"], "window": i["window"], "logtype": i["logtype"], \ "node_id": i["node_id"], "src_host": i["src_host"], "src_port": i["src_port"], "repo": i["repo"], "ntp_cmd": i["ntp_cmd"], "args": i["args"], "cmd": i["cmd"], "banner_id": i["banner_id"], \ "data": i["data"], "function": i["function"], "vnc_client_response": i["vnc_client_response"], "vnc_password": i["vnc_password"], "vnc_server_challenge": i["vnc_server_challenge"], \ "inputs": i["inputs"], "domain": i["domain"], "headers_call_id": i["headers_call_id"], "headers_content_length": i["headers_content_length"], "headers_cseq": i["headers_cseq"], \ "headers_from": i["headers_from"], "headers_to": i["headers_to"], "headers_via": i["headers_via"], "community_string": i["community_string"], "requests": i["requests"], \ "urg": i["urg"], "psh": i["psh"], "fin": i["fin"], "appname": i["appname"], "cltintname": i["cltintname"], "database": i["database"], "language": i["language"], \ "servername": i["servername"], "domainname": i["domainname"]} second_page_list.append(second_dict_param) page_res = {"list": second_page_list} # print page_res return page_res def total_atk_page(): # 查询攻击列表数量 return logselect.select_attack_total() def total_wit_page(): # 查询过滤列表数量 return logselect.select_filter_total()

61.214876

122

0.435669

1,465

14,814

4.25256

0.114676

0.138684

0.088604

0.011557

0.963082

0

0.027499

0.388754

14,814

241

123

61.46888

0.660519

0.008573

0

0.875576

0

0.291

0.008994

0

1

0.013825

false

0.036866

0.004608

0.009217

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0

null

0

1

0

1

0

null

0

7

a1c6a5651194457ad574d5390741d0a729762302

22,567

py

Python

sdk/python/pulumi_digitalocean/project.py

mikealgj/pulumi-digitalocean

77c109ab364eb69b7668b007c29413f5d2c95209

[ "ECL-2.0", "Apache-2.0" ]

53

2019-04-25T14:43:12.000Z

2022-03-14T15:51:44.000Z

sdk/python/pulumi_digitalocean/project.py

mikealgj/pulumi-digitalocean

77c109ab364eb69b7668b007c29413f5d2c95209

[ "ECL-2.0", "Apache-2.0" ]

158

2019-04-15T21:47:18.000Z

2022-03-29T21:21:57.000Z

sdk/python/pulumi_digitalocean/project.py

mikealgj/pulumi-digitalocean

77c109ab364eb69b7668b007c29413f5d2c95209

[ "ECL-2.0", "Apache-2.0" ]

10

2019-04-15T20:16:11.000Z

2021-05-28T19:08:32.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from . import _utilities __all__ = ['ProjectArgs', 'Project'] @pulumi.input_type class ProjectArgs: def __init__(__self__, *, description: Optional[pulumi.Input[str]] = None, environment: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, purpose: Optional[pulumi.Input[str]] = None, resources: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None): """ The set of arguments for constructing a Project resource. :param pulumi.Input[str] description: the description of the project :param pulumi.Input[str] environment: the environment of the project's resources. The possible values are: `Development`, `Staging`, `Production`) :param pulumi.Input[str] name: The name of the Project :param pulumi.Input[str] purpose: the purpose of the project, (Default: "Web Application") :param pulumi.Input[Sequence[pulumi.Input[str]]] resources: a list of uniform resource names (URNs) for the resources associated with the project """ if description is not None: pulumi.set(__self__, "description", description) if environment is not None: pulumi.set(__self__, "environment", environment) if name is not None: pulumi.set(__self__, "name", name) if purpose is not None: pulumi.set(__self__, "purpose", purpose) if resources is not None: pulumi.set(__self__, "resources", resources) @property @pulumi.getter def description(self) -> Optional[pulumi.Input[str]]: """ the description of the project """ return pulumi.get(self, "description") @description.setter def description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "description", value) @property @pulumi.getter def environment(self) -> Optional[pulumi.Input[str]]: """ the environment of the project's resources. The possible values are: `Development`, `Staging`, `Production`) """ return pulumi.get(self, "environment") @environment.setter def environment(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "environment", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The name of the Project """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter def purpose(self) -> Optional[pulumi.Input[str]]: """ the purpose of the project, (Default: "Web Application") """ return pulumi.get(self, "purpose") @purpose.setter def purpose(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "purpose", value) @property @pulumi.getter def resources(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ a list of uniform resource names (URNs) for the resources associated with the project """ return pulumi.get(self, "resources") @resources.setter def resources(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "resources", value) @pulumi.input_type class _ProjectState: def __init__(__self__, *, created_at: Optional[pulumi.Input[str]] = None, description: Optional[pulumi.Input[str]] = None, environment: Optional[pulumi.Input[str]] = None, is_default: Optional[pulumi.Input[bool]] = None, name: Optional[pulumi.Input[str]] = None, owner_id: Optional[pulumi.Input[int]] = None, owner_uuid: Optional[pulumi.Input[str]] = None, purpose: Optional[pulumi.Input[str]] = None, resources: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, updated_at: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering Project resources. :param pulumi.Input[str] created_at: the date and time when the project was created, (ISO8601) :param pulumi.Input[str] description: the description of the project :param pulumi.Input[str] environment: the environment of the project's resources. The possible values are: `Development`, `Staging`, `Production`) :param pulumi.Input[str] name: The name of the Project :param pulumi.Input[int] owner_id: the id of the project owner. :param pulumi.Input[str] owner_uuid: the unique universal identifier of the project owner. :param pulumi.Input[str] purpose: the purpose of the project, (Default: "Web Application") :param pulumi.Input[Sequence[pulumi.Input[str]]] resources: a list of uniform resource names (URNs) for the resources associated with the project :param pulumi.Input[str] updated_at: the date and time when the project was last updated, (ISO8601) """ if created_at is not None: pulumi.set(__self__, "created_at", created_at) if description is not None: pulumi.set(__self__, "description", description) if environment is not None: pulumi.set(__self__, "environment", environment) if is_default is not None: pulumi.set(__self__, "is_default", is_default) if name is not None: pulumi.set(__self__, "name", name) if owner_id is not None: pulumi.set(__self__, "owner_id", owner_id) if owner_uuid is not None: pulumi.set(__self__, "owner_uuid", owner_uuid) if purpose is not None: pulumi.set(__self__, "purpose", purpose) if resources is not None: pulumi.set(__self__, "resources", resources) if updated_at is not None: pulumi.set(__self__, "updated_at", updated_at) @property @pulumi.getter(name="createdAt") def created_at(self) -> Optional[pulumi.Input[str]]: """ the date and time when the project was created, (ISO8601) """ return pulumi.get(self, "created_at") @created_at.setter def created_at(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "created_at", value) @property @pulumi.getter def description(self) -> Optional[pulumi.Input[str]]: """ the description of the project """ return pulumi.get(self, "description") @description.setter def description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "description", value) @property @pulumi.getter def environment(self) -> Optional[pulumi.Input[str]]: """ the environment of the project's resources. The possible values are: `Development`, `Staging`, `Production`) """ return pulumi.get(self, "environment") @environment.setter def environment(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "environment", value) @property @pulumi.getter(name="isDefault") def is_default(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "is_default") @is_default.setter def is_default(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "is_default", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The name of the Project """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="ownerId") def owner_id(self) -> Optional[pulumi.Input[int]]: """ the id of the project owner. """ return pulumi.get(self, "owner_id") @owner_id.setter def owner_id(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "owner_id", value) @property @pulumi.getter(name="ownerUuid") def owner_uuid(self) -> Optional[pulumi.Input[str]]: """ the unique universal identifier of the project owner. """ return pulumi.get(self, "owner_uuid") @owner_uuid.setter def owner_uuid(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "owner_uuid", value) @property @pulumi.getter def purpose(self) -> Optional[pulumi.Input[str]]: """ the purpose of the project, (Default: "Web Application") """ return pulumi.get(self, "purpose") @purpose.setter def purpose(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "purpose", value) @property @pulumi.getter def resources(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ a list of uniform resource names (URNs) for the resources associated with the project """ return pulumi.get(self, "resources") @resources.setter def resources(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "resources", value) @property @pulumi.getter(name="updatedAt") def updated_at(self) -> Optional[pulumi.Input[str]]: """ the date and time when the project was last updated, (ISO8601) """ return pulumi.get(self, "updated_at") @updated_at.setter def updated_at(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "updated_at", value) class Project(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, description: Optional[pulumi.Input[str]] = None, environment: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, purpose: Optional[pulumi.Input[str]] = None, resources: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, __props__=None): """ Provides a DigitalOcean Project resource. Projects allow you to organize your resources into groups that fit the way you work. You can group resources (like Droplets, Spaces, Load Balancers, domains, and Floating IPs) in ways that align with the applications you host on DigitalOcean. The following resource types can be associated with a project: * Database Clusters * Domains * Droplets * Floating IP * Load Balancers * Spaces Bucket * Volume **Note:** A provider managed project cannot be set as a default project. ## Example Usage The following example demonstrates the creation of an empty project: ```python import pulumi import pulumi_digitalocean as digitalocean playground = digitalocean.Project("playground", description="A project to represent development resources.", environment="Development", purpose="Web Application") ``` The following example demonstrates the creation of a project with a Droplet resource: ```python import pulumi import pulumi_digitalocean as digitalocean foobar = digitalocean.Droplet("foobar", size="512mb", image="centos-7-x64", region="nyc3") playground = digitalocean.Project("playground", description="A project to represent development resources.", purpose="Web Application", environment="Development", resources=[foobar.droplet_urn]) ``` ## Import Projects can be imported using the `id` returned from DigitalOcean, e.g. ```sh $ pulumi import digitalocean:index/project:Project myproject 245bcfd0-7f31-4ce6-a2bc-475a116cca97 ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] description: the description of the project :param pulumi.Input[str] environment: the environment of the project's resources. The possible values are: `Development`, `Staging`, `Production`) :param pulumi.Input[str] name: The name of the Project :param pulumi.Input[str] purpose: the purpose of the project, (Default: "Web Application") :param pulumi.Input[Sequence[pulumi.Input[str]]] resources: a list of uniform resource names (URNs) for the resources associated with the project """ ... @overload def __init__(__self__, resource_name: str, args: Optional[ProjectArgs] = None, opts: Optional[pulumi.ResourceOptions] = None): """ Provides a DigitalOcean Project resource. Projects allow you to organize your resources into groups that fit the way you work. You can group resources (like Droplets, Spaces, Load Balancers, domains, and Floating IPs) in ways that align with the applications you host on DigitalOcean. The following resource types can be associated with a project: * Database Clusters * Domains * Droplets * Floating IP * Load Balancers * Spaces Bucket * Volume **Note:** A provider managed project cannot be set as a default project. ## Example Usage The following example demonstrates the creation of an empty project: ```python import pulumi import pulumi_digitalocean as digitalocean playground = digitalocean.Project("playground", description="A project to represent development resources.", environment="Development", purpose="Web Application") ``` The following example demonstrates the creation of a project with a Droplet resource: ```python import pulumi import pulumi_digitalocean as digitalocean foobar = digitalocean.Droplet("foobar", size="512mb", image="centos-7-x64", region="nyc3") playground = digitalocean.Project("playground", description="A project to represent development resources.", purpose="Web Application", environment="Development", resources=[foobar.droplet_urn]) ``` ## Import Projects can be imported using the `id` returned from DigitalOcean, e.g. ```sh $ pulumi import digitalocean:index/project:Project myproject 245bcfd0-7f31-4ce6-a2bc-475a116cca97 ``` :param str resource_name: The name of the resource. :param ProjectArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(ProjectArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, description: Optional[pulumi.Input[str]] = None, environment: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, purpose: Optional[pulumi.Input[str]] = None, resources: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = ProjectArgs.__new__(ProjectArgs) __props__.__dict__["description"] = description __props__.__dict__["environment"] = environment __props__.__dict__["name"] = name __props__.__dict__["purpose"] = purpose __props__.__dict__["resources"] = resources __props__.__dict__["created_at"] = None __props__.__dict__["is_default"] = None __props__.__dict__["owner_id"] = None __props__.__dict__["owner_uuid"] = None __props__.__dict__["updated_at"] = None super(Project, __self__).__init__( 'digitalocean:index/project:Project', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, created_at: Optional[pulumi.Input[str]] = None, description: Optional[pulumi.Input[str]] = None, environment: Optional[pulumi.Input[str]] = None, is_default: Optional[pulumi.Input[bool]] = None, name: Optional[pulumi.Input[str]] = None, owner_id: Optional[pulumi.Input[int]] = None, owner_uuid: Optional[pulumi.Input[str]] = None, purpose: Optional[pulumi.Input[str]] = None, resources: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, updated_at: Optional[pulumi.Input[str]] = None) -> 'Project': """ Get an existing Project resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] created_at: the date and time when the project was created, (ISO8601) :param pulumi.Input[str] description: the description of the project :param pulumi.Input[str] environment: the environment of the project's resources. The possible values are: `Development`, `Staging`, `Production`) :param pulumi.Input[str] name: The name of the Project :param pulumi.Input[int] owner_id: the id of the project owner. :param pulumi.Input[str] owner_uuid: the unique universal identifier of the project owner. :param pulumi.Input[str] purpose: the purpose of the project, (Default: "Web Application") :param pulumi.Input[Sequence[pulumi.Input[str]]] resources: a list of uniform resource names (URNs) for the resources associated with the project :param pulumi.Input[str] updated_at: the date and time when the project was last updated, (ISO8601) """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _ProjectState.__new__(_ProjectState) __props__.__dict__["created_at"] = created_at __props__.__dict__["description"] = description __props__.__dict__["environment"] = environment __props__.__dict__["is_default"] = is_default __props__.__dict__["name"] = name __props__.__dict__["owner_id"] = owner_id __props__.__dict__["owner_uuid"] = owner_uuid __props__.__dict__["purpose"] = purpose __props__.__dict__["resources"] = resources __props__.__dict__["updated_at"] = updated_at return Project(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="createdAt") def created_at(self) -> pulumi.Output[str]: """ the date and time when the project was created, (ISO8601) """ return pulumi.get(self, "created_at") @property @pulumi.getter def description(self) -> pulumi.Output[Optional[str]]: """ the description of the project """ return pulumi.get(self, "description") @property @pulumi.getter def environment(self) -> pulumi.Output[Optional[str]]: """ the environment of the project's resources. The possible values are: `Development`, `Staging`, `Production`) """ return pulumi.get(self, "environment") @property @pulumi.getter(name="isDefault") def is_default(self) -> pulumi.Output[bool]: return pulumi.get(self, "is_default") @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ The name of the Project """ return pulumi.get(self, "name") @property @pulumi.getter(name="ownerId") def owner_id(self) -> pulumi.Output[int]: """ the id of the project owner. """ return pulumi.get(self, "owner_id") @property @pulumi.getter(name="ownerUuid") def owner_uuid(self) -> pulumi.Output[str]: """ the unique universal identifier of the project owner. """ return pulumi.get(self, "owner_uuid") @property @pulumi.getter def purpose(self) -> pulumi.Output[Optional[str]]: """ the purpose of the project, (Default: "Web Application") """ return pulumi.get(self, "purpose") @property @pulumi.getter def resources(self) -> pulumi.Output[Sequence[str]]: """ a list of uniform resource names (URNs) for the resources associated with the project """ return pulumi.get(self, "resources") @property @pulumi.getter(name="updatedAt") def updated_at(self) -> pulumi.Output[str]: """ the date and time when the project was last updated, (ISO8601) """ return pulumi.get(self, "updated_at")

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0.859959

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39.110919

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0

null

0

1

0

1

0

null

0

7

6294ae80beb76d1c3595c92947187385206e8fda

73

py

Python

.idea/VirtualEnvironment/Lib/site-packages/tests/outcomes/imports/test_import_package_3/random_module/main.py

Vladpetr/NewsPortal

cd4127fbc09d9c8f5e65c8ae699856c6d380a320

[ "Apache-2.0" ]

null

.idea/VirtualEnvironment/Lib/site-packages/tests/outcomes/imports/test_import_package_3/random_module/main.py

Vladpetr/NewsPortal

cd4127fbc09d9c8f5e65c8ae699856c6d380a320

[ "Apache-2.0" ]

5

2021-04-08T22:02:15.000Z

2022-02-10T14:53:45.000Z

.idea/VirtualEnvironment/Lib/site-packages/tests/outcomes/imports/test_import_package_3/random_module/main.py

Vladpetr/NewsPortal

cd4127fbc09d9c8f5e65c8ae699856c6d380a320

[ "Apache-2.0" ]

null

import in1.in2.main2 import in1.file print(in1.in2.main2.x + in1.file.y)

18.25

35

0.753425

15

73

3.666667

0.533333

0.327273

0.4

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0.121212

0.09589

73

3

36

24.333333

0.712121

0

1

0

true

0

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0

1

0

null

0

1

0

1

0

1

0

7

6299ecbcc81892caebaf71c025e1fe62027d15b5

298

py

Python

tests/presentation/test_is_jupyter_notebook.py

abitoun-42/atpbar

fe5e4c24621b4707c5253be8ab2b5ae48f4801e3

[ "BSD-3-Clause" ]

72

2019-02-24T15:49:57.000Z

2022-03-27T19:38:38.000Z

tests/presentation/test_is_jupyter_notebook.py

abitoun-42/atpbar

fe5e4c24621b4707c5253be8ab2b5ae48f4801e3

[ "BSD-3-Clause" ]

24

2019-02-18T12:39:04.000Z

2022-01-19T02:14:56.000Z

tests/presentation/test_is_jupyter_notebook.py

abitoun-42/atpbar

fe5e4c24621b4707c5253be8ab2b5ae48f4801e3

[ "BSD-3-Clause" ]

10

2019-04-19T15:39:32.000Z

2022-01-08T16:57:42.000Z

# Tai Sakuma <tai.sakuma@gmail.com> from atpbar.presentation.create import is_jupyter_notebook ##__________________________________________________________________|| def test_is_jupyter_notebook(): is_jupyter_notebook() ##__________________________________________________________________||

29.8

70

0.862416

22

298

5.363636

0.636364

0.228814

0.432203

0

0.067114

298

9

71

33.111111

0.42446

0.567114

0

1

0.333333

true

0

0.333333

0

0.666667

0

1

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null

1

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1

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1

0

null

0

1

0

1

0

1

0

9

1a19a54b0162f35ae2531407f6d70254300ece50

4,620

py

Python

tests/test_logger.py

rameshKrSah/mle-logging

ab4b7b8f8ea46cdac170349f60137a4aae4666d3

[ "MIT" ]

47

2021-08-23T14:30:59.000Z

2021-10-31T15:08:49.000Z

tests/test_logger.py

rameshKrSah/mle-logging

ab4b7b8f8ea46cdac170349f60137a4aae4666d3

[ "MIT" ]

2

2021-08-24T11:26:26.000Z

2021-10-01T08:17:53.000Z

tests/test_logger.py

rameshKrSah/mle-logging

ab4b7b8f8ea46cdac170349f60137a4aae4666d3

[ "MIT" ]

3

2021-08-24T16:53:31.000Z

2021-08-28T21:06:49.000Z

import os import shutil import numpy as np import torch.nn as nn import matplotlib.pyplot as plt from mle_logging import MLELogger log_config = { "time_to_track": ["num_updates", "num_epochs"], "what_to_track": ["train_loss", "test_loss"], "experiment_dir": "experiment_dir/", "config_fname": None, "use_tboard": True, "model_type": "torch", } time_tic = {"num_updates": 10, "num_epochs": 1} stats_tic = {"train_loss": 0.1234, "test_loss": 0.1235} class DummyModel(nn.Module): def __init__(self): super(DummyModel, self).__init__() self.fc1 = nn.Linear(16 * 5 * 5, 120) self.fc2 = nn.Linear(120, 84) self.fc3 = nn.Linear(84, 10) def forward(self, x): x = self.fc1(x) x = self.fc2(x) x = self.fc3(x) return x model = DummyModel() fig, ax = plt.subplots() ax.plot(np.random.normal(0, 1, 20)) some_dict = {"hi": "there"} def test_update_log(): # Remove experiment dir at start of test if os.path.exists(log_config["experiment_dir"]) and os.path.isdir( log_config["experiment_dir"] ): shutil.rmtree(log_config["experiment_dir"]) # Instantiate logging to experiment_dir log = MLELogger(**log_config) # Update the log with collected data & save it to .hdf5 log.update(time_tic, stats_tic) log.save() # Assert the existence of the files assert os.path.exists(os.path.join(log_config["experiment_dir"], "logs")) assert os.path.exists(os.path.join(log_config["experiment_dir"], "tboards")) file_to_check = os.path.join( log_config["experiment_dir"], "logs", "log_no_seed_provided.hdf5" ) assert os.path.exists(file_to_check) # Finally -- clean up shutil.rmtree(log_config["experiment_dir"]) def test_save_plot(): # Remove experiment dir at start of test if os.path.exists(log_config["experiment_dir"]) and os.path.isdir( log_config["experiment_dir"] ): shutil.rmtree(log_config["experiment_dir"]) # Instantiate logging to experiment_dir log = MLELogger(**log_config) # Save a matplotlib figure as .png log.save_plot(fig) # Assert the existence of the files file_to_check = os.path.join( log_config["experiment_dir"], "figures", "fig_1_no_seed_provided.png" ) assert os.path.exists(file_to_check) # Finally -- clean up shutil.rmtree(log_config["experiment_dir"]) def test_save_extra(): # Remove experiment dir at start of test if os.path.exists(log_config["experiment_dir"]) and os.path.isdir( log_config["experiment_dir"] ): shutil.rmtree(log_config["experiment_dir"]) # Instantiate logging to experiment_dir log = MLELogger(**log_config) # Save a dict as a .pkl object log.save_extra(some_dict) # Assert the existence of the files file_to_check = os.path.join( log_config["experiment_dir"], "extra", "extra_1_no_seed_provided.pkl" ) assert os.path.exists(file_to_check) # Finally -- clean up shutil.rmtree(log_config["experiment_dir"]) def test_all_in_one(): # Remove experiment dir at start of test if os.path.exists(log_config["experiment_dir"]) and os.path.isdir( log_config["experiment_dir"] ): shutil.rmtree(log_config["experiment_dir"]) # Instantiate logging to experiment_dir log = MLELogger(**log_config) # Save a dict as a .pkl object log.save_init_model(model) log.update(time_tic, stats_tic, model, fig, some_dict, save=True) # Assert the existence of the files assert os.path.exists(os.path.join(log_config["experiment_dir"], "logs")) assert os.path.exists(os.path.join(log_config["experiment_dir"], "tboards")) file_to_check = os.path.join( log_config["experiment_dir"], "logs", "log_no_seed_provided.hdf5" ) assert os.path.exists(file_to_check) file_to_check = os.path.join( log_config["experiment_dir"], "models/init", "init_no_seed_provided.pt" ) assert os.path.exists(file_to_check) file_to_check = os.path.join( log_config["experiment_dir"], "models/final", "final_no_seed_provided.pt" ) assert os.path.exists(file_to_check) file_to_check = os.path.join( log_config["experiment_dir"], "figures", "fig_1_no_seed_provided.png" ) assert os.path.exists(file_to_check) file_to_check = os.path.join( log_config["experiment_dir"], "extra", "extra_1_no_seed_provided.pkl" ) assert os.path.exists(file_to_check) # Finally -- clean up shutil.rmtree(log_config["experiment_dir"])

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4,620

4.405689

0.176647

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0.752294

0.735984

0

0.012446

0.2

4,620

158

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29.240506

0.78382

0.144589

0

0.49505

0

0.217502

0.052658

0

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1

0.059406

false

0

0.059406

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0.138614

0

null

0

1

0

1

0

null

0

7

a7e8f78b574d225d732158746091f7be8930dfaa

253

py

Python

scimitar/core/modules/__init__.py

aloheac/scimitar

b37424699600fbdf4677edccf26d5c782aa794c3

[ "BSD-3-Clause" ]

null

scimitar/core/modules/__init__.py

aloheac/scimitar

b37424699600fbdf4677edccf26d5c782aa794c3

[ "BSD-3-Clause" ]

null

scimitar/core/modules/__init__.py

aloheac/scimitar

b37424699600fbdf4677edccf26d5c782aa794c3

[ "BSD-3-Clause" ]

null

from scimitar.core.modules.BaseModules import * from scimitar.core.modules.CheckStatus import * from scimitar.core.modules.DirectoryStructure import * from scimitar.core.modules.ResourceManager import * from scimitar.core.modules.HeaderModule import *

36.142857

54

0.837945

30

253

7.066667

0.333333

0.283019

0.377358

0.542453

0.54717

0

0.083004

253

6

55

42.166667

0.913793

0

1

0

true

0

1

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1

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null

1

0

1

0

null

0

1

0

1

0

1

0

7

c5022055b042ebb69710a5267104ce788c44e3f0

80

py

Python

embedding_propagation/__init__.py

LeoXinhaoLee/embedding-propagation

449bb03ab798b6ab56e0623a297c83159247a292

[ "Apache-2.0" ]

184

2020-03-10T10:07:22.000Z

2022-03-24T07:30:24.000Z

embedding_propagation/__init__.py

LeoXinhaoLee/embedding-propagation

449bb03ab798b6ab56e0623a297c83159247a292

[ "Apache-2.0" ]

22

2020-03-10T17:32:22.000Z

2022-03-21T17:06:41.000Z

embedding_propagation/__init__.py

LeoXinhaoLee/embedding-propagation

449bb03ab798b6ab56e0623a297c83159247a292

[ "Apache-2.0" ]

24

2020-03-11T09:48:30.000Z

2022-01-20T06:47:39.000Z

from .embedding_propagation import * from .batch_embedding_propagation import *

26.666667

42

0.85

9

80

7.222222

0.555556

0.615385

0.8

0

0.1

80

2

43

40

0.902778

0

1

0

true

0

1

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1

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null

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0

null

0

1

0

1

0

1

0

7

c56eee37e7c0cca978ea47c4d0ce43b723be972d

25,324

py

Python

a10sdk/core/slb/slb_sip.py

deepfield/a10sdk-python

bfaa58099f51f085d5e91652d1d1a3fd5c529d5d

[ "Apache-2.0" ]

16

2015-05-20T07:26:30.000Z

2021-01-23T11:56:57.000Z

a10sdk/core/slb/slb_sip.py

deepfield/a10sdk-python

bfaa58099f51f085d5e91652d1d1a3fd5c529d5d

[ "Apache-2.0" ]

6

2015-03-24T22:07:11.000Z

2017-03-28T21:31:18.000Z

a10sdk/core/slb/slb_sip.py

deepfield/a10sdk-python

bfaa58099f51f085d5e91652d1d1a3fd5c529d5d

[ "Apache-2.0" ]

23

2015-03-29T15:43:01.000Z

2021-06-02T17:12:01.000Z

from a10sdk.common.A10BaseClass import A10BaseClass class SamplingEnable(A10BaseClass): """This class does not support CRUD Operations please use parent. :param counters1: {"enum": ["all", "msg_proxy_current", "msg_proxy_total", "msg_proxy_mem_allocd", "msg_proxy_mem_cached", "msg_proxy_mem_freed", "msg_proxy_client_recv", "msg_proxy_client_send_success", "msg_proxy_client_incomplete", "msg_proxy_client_drop", "msg_proxy_client_connection", "msg_proxy_client_fail", "msg_proxy_client_fail_parse", "msg_proxy_client_fail_process", "msg_proxy_client_fail_snat", "msg_proxy_client_exceed_tmp_buff", "msg_proxy_client_fail_send_pkt", "msg_proxy_client_fail_start_server_Conn", "msg_proxy_server_recv", "msg_proxy_server_send_success", "msg_proxy_server_incomplete", "msg_proxy_server_drop", "msg_proxy_server_fail", "msg_proxy_server_fail_parse", "msg_proxy_server_fail_process", "msg_proxy_server_fail_selec_connt", "msg_proxy_server_fail_snat", "msg_proxy_server_exceed_tmp_buff", "msg_proxy_server_fail_send_pkt", "msg_proxy_create_server_conn", "msg_proxy_start_server_conn", "msg_proxy_fail_start_server_conn", "msg_proxy_server_conn_fail_snat", "msg_proxy_fail_construct_server_conn", "msg_proxy_fail_reserve_pconn", "msg_proxy_start_server_conn_failed", "msg_proxy_server_conn_already_exists", "msg_proxy_fail_insert_server_conn", "msg_proxy_parse_msg_fail", "msg_proxy_process_msg_fail", "msg_proxy_no_vport", "msg_proxy_fail_select_server", "msg_proxy_fail_alloc_mem", "msg_proxy_unexpected_err", "msg_proxy_l7_cpu_failed", "msg_proxy_l4_to_l7", "msg_proxy_l4_from_l7", "msg_proxy_to_l4_send_pkt", "msg_proxy_l4_from_l4_send", "msg_proxy_l7_to_L4", "msg_proxy_mag_back", "msg_proxy_fail_dcmsg", "msg_proxy_deprecated_conn", "msg_proxy_hold_msg", "msg_proxy_split_pkt", "msg_proxy_pipline_msg", "msg_proxy_client_reset", "msg_proxy_server_reset", "session_created", "session_freed", "session_in_rml", "session_invalid", "conn_allocd", "conn_freed", "session_callid_allocd", "session_callid_freed", "line_mem_allocd", "line_mem_freed", "table_mem_allocd", "table_mem_freed", "cmsg_no_uri_header", "cmsg_no_uri_session", "sg_no_uri_header", "smsg_no_uri_session", "line_too_long", "fail_read_start_line", "fail_parse_start_line", "invalid_start_line", "request_unknow_version", "response_unknow_version", "request_unknow", "fail_parse_headers", "too_many_headers", "invalid_header", "header_name_too_long", "body_too_big", "fail_get_counter", "msg_no_call_id", "identify_dir_failed", "no_sip_request", "deprecated_msg", "fail_insert_callid_session", "fail_insert_uri_session", "fail_insert_header", "select_server_conn", "select_server_conn_by_callid", "select_server_conn_by_uri", "select_server_conn_by_rev_tuple", "select_server_conn_failed", "select_client_conn", "X_forward_for_select_client", "call_id_select_client", "uri_select_client", "client_select_failed", "acl_denied", "assemble_frag_failed", "wrong_ip_version", "size_too_large", "fail_split_fragment", "client_keepalive_received", "server_keepalive_received", "client_keepalive_send", "server_keepalive_send", "ax_health_check_received", "client_request", "client_request_ok", "concatenate_msg", "save_uri", "save_uri_ok", "save_call_id", "save_call_id_ok", "msg_translation", "msg_translation_fail", "msg_trans_start_line", "msg_trans_start_headers", "msg_trans_body", "request_register", "request_invite", "request_ack", "request_cancel", "request_bye", "request_options", "request_prack", "request_subscribe", "request_notify", "request_publish", "request_info", "request_refer", "request_message", "request_update", "response_unknow", "response_1XX", "response_2XX", "response_3XX", "response_4XX", "response_5XX", "response_6XX", "ha_send_sip_session", "ha_send_sip_session_ok", "ha_fail_get_msg_header", "ha_recv_sip_session", "ha_insert_sip_session_ok", "ha_update_sip_session_ok", "ha_invalid_pkt", "ha_fail_alloc_sip_session", "ha_fail_alloc_call_id", "ha_fail_clone_sip_session", "save_smp_call_id_rtp", "update_smp_call_id_rtp", "smp_call_id_rtp_session_match", "smp_call_id_rtp_session_not_match", "process-error-when-message-switch"], "type": "string", "description": "'all': all; 'msg_proxy_current': Number of current sip proxy connections; 'msg_proxy_total': Total number of sip proxy connections; 'msg_proxy_mem_allocd': msg_proxy_mem_allocd; 'msg_proxy_mem_cached': msg_proxy_mem_cached; 'msg_proxy_mem_freed': msg_proxy_mem_freed; 'msg_proxy_client_recv': Number of SIP messages received from client; 'msg_proxy_client_send_success': Number of SIP messages received from client and forwarded to server; 'msg_proxy_client_incomplete': Number of packet which contains incomplete message; 'msg_proxy_client_drop': Number of AX drop; 'msg_proxy_client_connection': Connecting server; 'msg_proxy_client_fail': Number of SIP messages received from client but failed to forward to server; 'msg_proxy_client_fail_parse': msg_proxy_client_fail_parse; 'msg_proxy_client_fail_process': msg_proxy_client_fail_process; 'msg_proxy_client_fail_snat': msg_proxy_client_fail_snat; 'msg_proxy_client_exceed_tmp_buff': msg_proxy_client_exceed_tmp_buff; 'msg_proxy_client_fail_send_pkt': msg_proxy_client_fail_send_pkt; 'msg_proxy_client_fail_start_server_Conn': msg_proxy_client_fail_start_server_Conn; 'msg_proxy_server_recv': Number of SIP messages received from server; 'msg_proxy_server_send_success': Number of SIP messages received from server and forwarded to client; 'msg_proxy_server_incomplete': Number of packet which contains incomplete message; 'msg_proxy_server_drop': Number of AX drop; 'msg_proxy_server_fail': Number of SIP messages received from server but failed to forward to client; 'msg_proxy_server_fail_parse': msg_proxy_server_fail_parse; 'msg_proxy_server_fail_process': msg_proxy_server_fail_process; 'msg_proxy_server_fail_selec_connt': msg_proxy_server_fail_selec_connt; 'msg_proxy_server_fail_snat': msg_proxy_server_fail_snat; 'msg_proxy_server_exceed_tmp_buff': msg_proxy_server_exceed_tmp_buff; 'msg_proxy_server_fail_send_pkt': msg_proxy_server_fail_send_pkt; 'msg_proxy_create_server_conn': Number of server connection system tries to create; 'msg_proxy_start_server_conn': Number of server connection created successfully; 'msg_proxy_fail_start_server_conn': Number of server connection create failed; 'msg_proxy_server_conn_fail_snat': msg_proxy_server_conn_fail_snat; 'msg_proxy_fail_construct_server_conn': msg_proxy_fail_construct_server_conn; 'msg_proxy_fail_reserve_pconn': msg_proxy_fail_reserve_pconn; 'msg_proxy_start_server_conn_failed': msg_proxy_start_server_conn_failed; 'msg_proxy_server_conn_already_exists': msg_proxy_server_conn_already_exists; 'msg_proxy_fail_insert_server_conn': msg_proxy_fail_insert_server_conn; 'msg_proxy_parse_msg_fail': msg_proxy_parse_msg_fail; 'msg_proxy_process_msg_fail': msg_proxy_process_msg_fail; 'msg_proxy_no_vport': msg_proxy_no_vport; 'msg_proxy_fail_select_server': msg_proxy_fail_select_server; 'msg_proxy_fail_alloc_mem': msg_proxy_fail_alloc_mem; 'msg_proxy_unexpected_err': msg_proxy_unexpected_err; 'msg_proxy_l7_cpu_failed': msg_proxy_l7_cpu_failed; 'msg_proxy_l4_to_l7': msg_proxy_l4_to_l7; 'msg_proxy_l4_from_l7': msg_proxy_l4_from_l7; 'msg_proxy_to_l4_send_pkt': msg_proxy_to_l4_send_pkt; 'msg_proxy_l4_from_l4_send': msg_proxy_l4_from_l4_send; 'msg_proxy_l7_to_L4': msg_proxy_l7_to_L4; 'msg_proxy_mag_back': msg_proxy_mag_back; 'msg_proxy_fail_dcmsg': msg_proxy_fail_dcmsg; 'msg_proxy_deprecated_conn': msg_proxy_deprecated_conn; 'msg_proxy_hold_msg': msg_proxy_hold_msg; 'msg_proxy_split_pkt': msg_proxy_split_pkt; 'msg_proxy_pipline_msg': msg_proxy_pipline_msg; 'msg_proxy_client_reset': msg_proxy_client_reset; 'msg_proxy_server_reset': msg_proxy_server_reset; 'session_created': SIP Session created; 'session_freed': SIP Session freed; 'session_in_rml': session_in_rml; 'session_invalid': session_invalid; 'conn_allocd': conn_allocd; 'conn_freed': conn_freed; 'session_callid_allocd': session_callid_allocd; 'session_callid_freed': session_callid_freed; 'line_mem_allocd': line_mem_allocd; 'line_mem_freed': line_mem_freed; 'table_mem_allocd': table_mem_allocd; 'table_mem_freed': table_mem_freed; 'cmsg_no_uri_header': cmsg_no_uri_header; 'cmsg_no_uri_session': cmsg_no_uri_session; 'sg_no_uri_header': sg_no_uri_header; 'smsg_no_uri_session': smsg_no_uri_session; 'line_too_long': line_too_long; 'fail_read_start_line': fail_read_start_line; 'fail_parse_start_line': fail_parse_start_line; 'invalid_start_line': invalid_start_line; 'request_unknow_version': request_unknow_version; 'response_unknow_version': response_unknow_version; 'request_unknow': request_unknow; 'fail_parse_headers': fail_parse_headers; 'too_many_headers': too_many_headers; 'invalid_header': invalid_header; 'header_name_too_long': header_name_too_long; 'body_too_big': body_too_big; 'fail_get_counter': fail_get_counter; 'msg_no_call_id': msg_no_call_id; 'identify_dir_failed': identify_dir_failed; 'no_sip_request': no_sip_request; 'deprecated_msg': deprecated_msg; 'fail_insert_callid_session': fail_insert_callid_session; 'fail_insert_uri_session': fail_insert_uri_session; 'fail_insert_header': fail_insert_header; 'select_server_conn': select_server_conn; 'select_server_conn_by_callid': select_server_conn_by_callid; 'select_server_conn_by_uri': select_server_conn_by_uri; 'select_server_conn_by_rev_tuple': select_server_conn_by_rev_tuple; 'select_server_conn_failed': select_server_conn_failed; 'select_client_conn': select_client_conn; 'X_forward_for_select_client': X_forward_for_select_client; 'call_id_select_client': call_id_select_client; 'uri_select_client': uri_select_client; 'client_select_failed': client_select_failed; 'acl_denied': acl_denied; 'assemble_frag_failed': assemble_frag_failed; 'wrong_ip_version': wrong_ip_version; 'size_too_large': size_too_large; 'fail_split_fragment': fail_split_fragment; 'client_keepalive_received': client_keepalive_received; 'server_keepalive_received': server_keepalive_received; 'client_keepalive_send': client_keepalive_send; 'server_keepalive_send': server_keepalive_send; 'ax_health_check_received': ax_health_check_received; 'client_request': client_request; 'client_request_ok': client_request_ok; 'concatenate_msg': concatenate_msg; 'save_uri': save_uri; 'save_uri_ok': save_uri_ok; 'save_call_id': save_call_id; 'save_call_id_ok': save_call_id_ok; 'msg_translation': msg_translation; 'msg_translation_fail': msg_translation_fail; 'msg_trans_start_line': msg_trans_start_line; 'msg_trans_start_headers': msg_trans_start_headers; 'msg_trans_body': msg_trans_body; 'request_register': request_register; 'request_invite': request_invite; 'request_ack': request_ack; 'request_cancel': request_cancel; 'request_bye': request_bye; 'request_options': request_options; 'request_prack': request_prack; 'request_subscribe': request_subscribe; 'request_notify': request_notify; 'request_publish': request_publish; 'request_info': request_info; 'request_refer': request_refer; 'request_message': request_message; 'request_update': request_update; 'response_unknow': response_unknow; 'response_1XX': response_1XX; 'response_2XX': response_2XX; 'response_3XX': response_3XX; 'response_4XX': response_4XX; 'response_5XX': response_5XX; 'response_6XX': response_6XX; 'ha_send_sip_session': ha_send_sip_session; 'ha_send_sip_session_ok': ha_send_sip_session_ok; 'ha_fail_get_msg_header': ha_fail_get_msg_header; 'ha_recv_sip_session': ha_recv_sip_session; 'ha_insert_sip_session_ok': ha_insert_sip_session_ok; 'ha_update_sip_session_ok': ha_update_sip_session_ok; 'ha_invalid_pkt': ha_invalid_pkt; 'ha_fail_alloc_sip_session': ha_fail_alloc_sip_session; 'ha_fail_alloc_call_id': ha_fail_alloc_call_id; 'ha_fail_clone_sip_session': ha_fail_clone_sip_session; 'save_smp_call_id_rtp': save_smp_call_id_rtp; 'update_smp_call_id_rtp': update_smp_call_id_rtp; 'smp_call_id_rtp_session_match': smp_call_id_rtp_session_match; 'smp_call_id_rtp_session_not_match': smp_call_id_rtp_session_not_match; 'process-error-when-message-switch': process-error-when-message-switch; ", "format": "enum"} :param DeviceProxy: The device proxy for REST operations and session handling. Refer to `common/device_proxy.py` """ def __init__(self, **kwargs): self.ERROR_MSG = "" self.b_key = "sampling-enable" self.DeviceProxy = "" self.counters1 = "" for keys, value in kwargs.items(): setattr(self,keys, value) class Sip(A10BaseClass): """ :param sampling_enable: {"minItems": 1, "items": {"type": "object"}, "uniqueItems": true, "type": "array", "array": [{"properties": {"optional": true, "counters1": {"enum": ["all", "msg_proxy_current", "msg_proxy_total", "msg_proxy_mem_allocd", "msg_proxy_mem_cached", "msg_proxy_mem_freed", "msg_proxy_client_recv", "msg_proxy_client_send_success", "msg_proxy_client_incomplete", "msg_proxy_client_drop", "msg_proxy_client_connection", "msg_proxy_client_fail", "msg_proxy_client_fail_parse", "msg_proxy_client_fail_process", "msg_proxy_client_fail_snat", "msg_proxy_client_exceed_tmp_buff", "msg_proxy_client_fail_send_pkt", "msg_proxy_client_fail_start_server_Conn", "msg_proxy_server_recv", "msg_proxy_server_send_success", "msg_proxy_server_incomplete", "msg_proxy_server_drop", "msg_proxy_server_fail", "msg_proxy_server_fail_parse", "msg_proxy_server_fail_process", "msg_proxy_server_fail_selec_connt", "msg_proxy_server_fail_snat", "msg_proxy_server_exceed_tmp_buff", "msg_proxy_server_fail_send_pkt", "msg_proxy_create_server_conn", "msg_proxy_start_server_conn", "msg_proxy_fail_start_server_conn", "msg_proxy_server_conn_fail_snat", "msg_proxy_fail_construct_server_conn", "msg_proxy_fail_reserve_pconn", "msg_proxy_start_server_conn_failed", "msg_proxy_server_conn_already_exists", "msg_proxy_fail_insert_server_conn", "msg_proxy_parse_msg_fail", "msg_proxy_process_msg_fail", "msg_proxy_no_vport", "msg_proxy_fail_select_server", "msg_proxy_fail_alloc_mem", "msg_proxy_unexpected_err", "msg_proxy_l7_cpu_failed", "msg_proxy_l4_to_l7", "msg_proxy_l4_from_l7", "msg_proxy_to_l4_send_pkt", "msg_proxy_l4_from_l4_send", "msg_proxy_l7_to_L4", "msg_proxy_mag_back", "msg_proxy_fail_dcmsg", "msg_proxy_deprecated_conn", "msg_proxy_hold_msg", "msg_proxy_split_pkt", "msg_proxy_pipline_msg", "msg_proxy_client_reset", "msg_proxy_server_reset", "session_created", "session_freed", "session_in_rml", "session_invalid", "conn_allocd", "conn_freed", "session_callid_allocd", "session_callid_freed", "line_mem_allocd", "line_mem_freed", "table_mem_allocd", "table_mem_freed", "cmsg_no_uri_header", "cmsg_no_uri_session", "sg_no_uri_header", "smsg_no_uri_session", "line_too_long", "fail_read_start_line", "fail_parse_start_line", "invalid_start_line", "request_unknow_version", "response_unknow_version", "request_unknow", "fail_parse_headers", "too_many_headers", "invalid_header", "header_name_too_long", "body_too_big", "fail_get_counter", "msg_no_call_id", "identify_dir_failed", "no_sip_request", "deprecated_msg", "fail_insert_callid_session", "fail_insert_uri_session", "fail_insert_header", "select_server_conn", "select_server_conn_by_callid", "select_server_conn_by_uri", "select_server_conn_by_rev_tuple", "select_server_conn_failed", "select_client_conn", "X_forward_for_select_client", "call_id_select_client", "uri_select_client", "client_select_failed", "acl_denied", "assemble_frag_failed", "wrong_ip_version", "size_too_large", "fail_split_fragment", "client_keepalive_received", "server_keepalive_received", "client_keepalive_send", "server_keepalive_send", "ax_health_check_received", "client_request", "client_request_ok", "concatenate_msg", "save_uri", "save_uri_ok", "save_call_id", "save_call_id_ok", "msg_translation", "msg_translation_fail", "msg_trans_start_line", "msg_trans_start_headers", "msg_trans_body", "request_register", "request_invite", "request_ack", "request_cancel", "request_bye", "request_options", "request_prack", "request_subscribe", "request_notify", "request_publish", "request_info", "request_refer", "request_message", "request_update", "response_unknow", "response_1XX", "response_2XX", "response_3XX", "response_4XX", "response_5XX", "response_6XX", "ha_send_sip_session", "ha_send_sip_session_ok", "ha_fail_get_msg_header", "ha_recv_sip_session", "ha_insert_sip_session_ok", "ha_update_sip_session_ok", "ha_invalid_pkt", "ha_fail_alloc_sip_session", "ha_fail_alloc_call_id", "ha_fail_clone_sip_session", "save_smp_call_id_rtp", "update_smp_call_id_rtp", "smp_call_id_rtp_session_match", "smp_call_id_rtp_session_not_match", "process-error-when-message-switch"], "type": "string", "description": "'all': all; 'msg_proxy_current': Number of current sip proxy connections; 'msg_proxy_total': Total number of sip proxy connections; 'msg_proxy_mem_allocd': msg_proxy_mem_allocd; 'msg_proxy_mem_cached': msg_proxy_mem_cached; 'msg_proxy_mem_freed': msg_proxy_mem_freed; 'msg_proxy_client_recv': Number of SIP messages received from client; 'msg_proxy_client_send_success': Number of SIP messages received from client and forwarded to server; 'msg_proxy_client_incomplete': Number of packet which contains incomplete message; 'msg_proxy_client_drop': Number of AX drop; 'msg_proxy_client_connection': Connecting server; 'msg_proxy_client_fail': Number of SIP messages received from client but failed to forward to server; 'msg_proxy_client_fail_parse': msg_proxy_client_fail_parse; 'msg_proxy_client_fail_process': msg_proxy_client_fail_process; 'msg_proxy_client_fail_snat': msg_proxy_client_fail_snat; 'msg_proxy_client_exceed_tmp_buff': msg_proxy_client_exceed_tmp_buff; 'msg_proxy_client_fail_send_pkt': msg_proxy_client_fail_send_pkt; 'msg_proxy_client_fail_start_server_Conn': msg_proxy_client_fail_start_server_Conn; 'msg_proxy_server_recv': Number of SIP messages received from server; 'msg_proxy_server_send_success': Number of SIP messages received from server and forwarded to client; 'msg_proxy_server_incomplete': Number of packet which contains incomplete message; 'msg_proxy_server_drop': Number of AX drop; 'msg_proxy_server_fail': Number of SIP messages received from server but failed to forward to client; 'msg_proxy_server_fail_parse': msg_proxy_server_fail_parse; 'msg_proxy_server_fail_process': msg_proxy_server_fail_process; 'msg_proxy_server_fail_selec_connt': msg_proxy_server_fail_selec_connt; 'msg_proxy_server_fail_snat': msg_proxy_server_fail_snat; 'msg_proxy_server_exceed_tmp_buff': msg_proxy_server_exceed_tmp_buff; 'msg_proxy_server_fail_send_pkt': msg_proxy_server_fail_send_pkt; 'msg_proxy_create_server_conn': Number of server connection system tries to create; 'msg_proxy_start_server_conn': Number of server connection created successfully; 'msg_proxy_fail_start_server_conn': Number of server connection create failed; 'msg_proxy_server_conn_fail_snat': msg_proxy_server_conn_fail_snat; 'msg_proxy_fail_construct_server_conn': msg_proxy_fail_construct_server_conn; 'msg_proxy_fail_reserve_pconn': msg_proxy_fail_reserve_pconn; 'msg_proxy_start_server_conn_failed': msg_proxy_start_server_conn_failed; 'msg_proxy_server_conn_already_exists': msg_proxy_server_conn_already_exists; 'msg_proxy_fail_insert_server_conn': msg_proxy_fail_insert_server_conn; 'msg_proxy_parse_msg_fail': msg_proxy_parse_msg_fail; 'msg_proxy_process_msg_fail': msg_proxy_process_msg_fail; 'msg_proxy_no_vport': msg_proxy_no_vport; 'msg_proxy_fail_select_server': msg_proxy_fail_select_server; 'msg_proxy_fail_alloc_mem': msg_proxy_fail_alloc_mem; 'msg_proxy_unexpected_err': msg_proxy_unexpected_err; 'msg_proxy_l7_cpu_failed': msg_proxy_l7_cpu_failed; 'msg_proxy_l4_to_l7': msg_proxy_l4_to_l7; 'msg_proxy_l4_from_l7': msg_proxy_l4_from_l7; 'msg_proxy_to_l4_send_pkt': msg_proxy_to_l4_send_pkt; 'msg_proxy_l4_from_l4_send': msg_proxy_l4_from_l4_send; 'msg_proxy_l7_to_L4': msg_proxy_l7_to_L4; 'msg_proxy_mag_back': msg_proxy_mag_back; 'msg_proxy_fail_dcmsg': msg_proxy_fail_dcmsg; 'msg_proxy_deprecated_conn': msg_proxy_deprecated_conn; 'msg_proxy_hold_msg': msg_proxy_hold_msg; 'msg_proxy_split_pkt': msg_proxy_split_pkt; 'msg_proxy_pipline_msg': msg_proxy_pipline_msg; 'msg_proxy_client_reset': msg_proxy_client_reset; 'msg_proxy_server_reset': msg_proxy_server_reset; 'session_created': SIP Session created; 'session_freed': SIP Session freed; 'session_in_rml': session_in_rml; 'session_invalid': session_invalid; 'conn_allocd': conn_allocd; 'conn_freed': conn_freed; 'session_callid_allocd': session_callid_allocd; 'session_callid_freed': session_callid_freed; 'line_mem_allocd': line_mem_allocd; 'line_mem_freed': line_mem_freed; 'table_mem_allocd': table_mem_allocd; 'table_mem_freed': table_mem_freed; 'cmsg_no_uri_header': cmsg_no_uri_header; 'cmsg_no_uri_session': cmsg_no_uri_session; 'sg_no_uri_header': sg_no_uri_header; 'smsg_no_uri_session': smsg_no_uri_session; 'line_too_long': line_too_long; 'fail_read_start_line': fail_read_start_line; 'fail_parse_start_line': fail_parse_start_line; 'invalid_start_line': invalid_start_line; 'request_unknow_version': request_unknow_version; 'response_unknow_version': response_unknow_version; 'request_unknow': request_unknow; 'fail_parse_headers': fail_parse_headers; 'too_many_headers': too_many_headers; 'invalid_header': invalid_header; 'header_name_too_long': header_name_too_long; 'body_too_big': body_too_big; 'fail_get_counter': fail_get_counter; 'msg_no_call_id': msg_no_call_id; 'identify_dir_failed': identify_dir_failed; 'no_sip_request': no_sip_request; 'deprecated_msg': deprecated_msg; 'fail_insert_callid_session': fail_insert_callid_session; 'fail_insert_uri_session': fail_insert_uri_session; 'fail_insert_header': fail_insert_header; 'select_server_conn': select_server_conn; 'select_server_conn_by_callid': select_server_conn_by_callid; 'select_server_conn_by_uri': select_server_conn_by_uri; 'select_server_conn_by_rev_tuple': select_server_conn_by_rev_tuple; 'select_server_conn_failed': select_server_conn_failed; 'select_client_conn': select_client_conn; 'X_forward_for_select_client': X_forward_for_select_client; 'call_id_select_client': call_id_select_client; 'uri_select_client': uri_select_client; 'client_select_failed': client_select_failed; 'acl_denied': acl_denied; 'assemble_frag_failed': assemble_frag_failed; 'wrong_ip_version': wrong_ip_version; 'size_too_large': size_too_large; 'fail_split_fragment': fail_split_fragment; 'client_keepalive_received': client_keepalive_received; 'server_keepalive_received': server_keepalive_received; 'client_keepalive_send': client_keepalive_send; 'server_keepalive_send': server_keepalive_send; 'ax_health_check_received': ax_health_check_received; 'client_request': client_request; 'client_request_ok': client_request_ok; 'concatenate_msg': concatenate_msg; 'save_uri': save_uri; 'save_uri_ok': save_uri_ok; 'save_call_id': save_call_id; 'save_call_id_ok': save_call_id_ok; 'msg_translation': msg_translation; 'msg_translation_fail': msg_translation_fail; 'msg_trans_start_line': msg_trans_start_line; 'msg_trans_start_headers': msg_trans_start_headers; 'msg_trans_body': msg_trans_body; 'request_register': request_register; 'request_invite': request_invite; 'request_ack': request_ack; 'request_cancel': request_cancel; 'request_bye': request_bye; 'request_options': request_options; 'request_prack': request_prack; 'request_subscribe': request_subscribe; 'request_notify': request_notify; 'request_publish': request_publish; 'request_info': request_info; 'request_refer': request_refer; 'request_message': request_message; 'request_update': request_update; 'response_unknow': response_unknow; 'response_1XX': response_1XX; 'response_2XX': response_2XX; 'response_3XX': response_3XX; 'response_4XX': response_4XX; 'response_5XX': response_5XX; 'response_6XX': response_6XX; 'ha_send_sip_session': ha_send_sip_session; 'ha_send_sip_session_ok': ha_send_sip_session_ok; 'ha_fail_get_msg_header': ha_fail_get_msg_header; 'ha_recv_sip_session': ha_recv_sip_session; 'ha_insert_sip_session_ok': ha_insert_sip_session_ok; 'ha_update_sip_session_ok': ha_update_sip_session_ok; 'ha_invalid_pkt': ha_invalid_pkt; 'ha_fail_alloc_sip_session': ha_fail_alloc_sip_session; 'ha_fail_alloc_call_id': ha_fail_alloc_call_id; 'ha_fail_clone_sip_session': ha_fail_clone_sip_session; 'save_smp_call_id_rtp': save_smp_call_id_rtp; 'update_smp_call_id_rtp': update_smp_call_id_rtp; 'smp_call_id_rtp_session_match': smp_call_id_rtp_session_match; 'smp_call_id_rtp_session_not_match': smp_call_id_rtp_session_not_match; 'process-error-when-message-switch': process-error-when-message-switch; ", "format": "enum"}}}]} :param DeviceProxy: The device proxy for REST operations and session handling. Refer to `common/device_proxy.py` Class Description:: Show SIP Statistics. Class sip supports CRUD Operations and inherits from `common/A10BaseClass`. This class is the `"PARENT"` class for this module.` URL for this object:: `https://<Hostname|Ip address>//axapi/v3/slb/sip`. """ def __init__(self, **kwargs): self.ERROR_MSG = "" self.required=[] self.b_key = "sip" self.a10_url="/axapi/v3/slb/sip" self.DeviceProxy = "" self.sampling_enable = [] for keys, value in kwargs.items(): setattr(self,keys, value)

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9

3d6ec38757d54beac4c17a37c96bb2c0d0c7a13a

4,041

py

Python

experiments/prep_FBCSP.py

top-chaisaen/MIN2Net

f0f38645a010b0c9ea82bcf602c35ad79dd9eaa8

[ "Apache-2.0" ]

10

2021-12-28T07:13:24.000Z

2022-03-30T09:12:56.000Z

experiments/prep_FBCSP.py

top-chaisaen/MIN2Net

f0f38645a010b0c9ea82bcf602c35ad79dd9eaa8

[ "Apache-2.0" ]

null

experiments/prep_FBCSP.py

top-chaisaen/MIN2Net

f0f38645a010b0c9ea82bcf602c35ad79dd9eaa8

[ "Apache-2.0" ]

3

2022-01-31T09:20:43.000Z

2022-03-01T01:39:51.000Z

import min2net.preprocessing as prep from min2net.preprocessing.config import CONSTANT k_folds = 5 pick_smp_freq = 100 n_components=4 bands = [[4, 8], [8, 12], [12, 16], [16, 20], [20, 24], [24, 28], [28, 32], [32, 36], [36, 40]] n_features=8 order = 5 save_path = 'datasets' num_class = 2 prep.SMR_BCI.fbcsp.subject_dependent_setting(k_folds=k_folds, pick_smp_freq=pick_smp_freq, n_components=n_components, bands=bands, n_features=n_features, order=order, save_path=save_path, num_class=num_class, sel_chs=CONSTANT['SMR_BCI']['sel_chs']) prep.BCIC2a.fbcsp.subject_dependent_setting(k_folds=k_folds, pick_smp_freq=pick_smp_freq, n_components=n_components, bands=bands, n_features=n_features, order=order, save_path=save_path, num_class=num_class, sel_chs=CONSTANT['BCIC2a']['sel_chs']) prep.OpenBMI.fbcsp.subject_dependent_setting(k_folds=k_folds, pick_smp_freq=pick_smp_freq, n_components=n_components, bands=bands, n_features=n_features, order=order, save_path=save_path, num_class=num_class, sel_chs=CONSTANT['OpenBMI']['sel_chs']) prep.SMR_BCI.fbcsp.subject_independent_setting(k_folds=k_folds, pick_smp_freq=pick_smp_freq, n_components=n_components, bands=bands, n_features=n_features, order=order, save_path=save_path, num_class=num_class, sel_chs=CONSTANT['SMR_BCI']['sel_chs']) prep.BCIC2a.fbcsp.subject_independent_setting(k_folds=k_folds, pick_smp_freq=pick_smp_freq, n_components=n_components, bands=bands, n_features=n_features, order=order, save_path=save_path, num_class=num_class, sel_chs=CONSTANT['BCIC2a']['sel_chs']) prep.OpenBMI.fbcsp.subject_independent_setting(k_folds=k_folds, pick_smp_freq=pick_smp_freq, n_components=n_components, bands=bands, n_features=n_features, order=order, save_path=save_path, num_class=num_class, sel_chs=CONSTANT['OpenBMI']['sel_chs'])

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null

0

8

3d974aa01ad24b30da16dedd28241b07833efad5

2,714

py

Python

care/life/migrations/0004_auto_20210427_0326.py

anroopak/care

250589f0aa783997bb81f3d2fc30bd19573b434f

[ "MIT" ]

null

care/life/migrations/0004_auto_20210427_0326.py

anroopak/care

250589f0aa783997bb81f3d2fc30bd19573b434f

[ "MIT" ]

null

care/life/migrations/0004_auto_20210427_0326.py

anroopak/care

250589f0aa783997bb81f3d2fc30bd19573b434f

[ "MIT" ]

null

# Generated by Django 2.2.11 on 2021-04-26 21:56 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('life', '0003_auto_20210427_0129'), ] operations = [ migrations.AddField( model_name='lifedata', name='created_on', field=models.TextField(default=''), ), migrations.AddField( model_name='lifedata', name='description', field=models.TextField(default=''), ), migrations.AlterField( model_name='lifedata', name='Verified_by', field=models.TextField(default=''), ), migrations.AlterField( model_name='lifedata', name='address', field=models.TextField(default=''), ), migrations.AlterField( model_name='lifedata', name='category', field=models.TextField(default=''), ), migrations.AlterField( model_name='lifedata', name='comment', field=models.TextField(default=''), ), migrations.AlterField( model_name='lifedata', name='created_by', field=models.TextField(default=''), ), migrations.AlterField( model_name='lifedata', name='email', field=models.TextField(default=''), ), migrations.AlterField( model_name='lifedata', name='last_verified_on', field=models.TextField(default=''), ), migrations.AlterField( model_name='lifedata', name='phone_1', field=models.TextField(default=''), ), migrations.AlterField( model_name='lifedata', name='phone_2', field=models.TextField(default=''), ), migrations.AlterField( model_name='lifedata', name='price', field=models.TextField(default=''), ), migrations.AlterField( model_name='lifedata', name='quantity_available', field=models.TextField(default=''), ), migrations.AlterField( model_name='lifedata', name='resource_type', field=models.TextField(default=''), ), migrations.AlterField( model_name='lifedata', name='source_link', field=models.TextField(default=''), ), migrations.AlterField( model_name='lifedata', name='title', field=models.TextField(default=''), ), ]

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0.516581

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0.237209

0.10488

0.198106

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0.045977

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null

0

1

0

1

0

1

0

null

0

9

3da37dc308cd38f45e73acbe0cd38bd3b8072410

18,374

py

Python

fastreport_cloud_sdk/api/user_profile_api.py

FastReports/FastReport-Cloud-Python

4442e19ef4c980222ede6d9e0597f564d6d85b26

[ "MIT" ]

null

fastreport_cloud_sdk/api/user_profile_api.py

FastReports/FastReport-Cloud-Python

4442e19ef4c980222ede6d9e0597f564d6d85b26

[ "MIT" ]

null

fastreport_cloud_sdk/api/user_profile_api.py

FastReports/FastReport-Cloud-Python

4442e19ef4c980222ede6d9e0597f564d6d85b26

[ "MIT" ]

null

# coding: utf-8 """ FastReport Cloud No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501 The version of the OpenAPI document: v1 Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from fastreport_cloud_sdk.api_client import ApiClient from fastreport_cloud_sdk.exceptions import ( # noqa: F401 ApiTypeError, ApiValueError ) class UserProfileApi(object): """NOTE: This class is auto generated by OpenAPI Generator Ref: https://openapi-generator.tech Do not edit the class manually. """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def user_profile_get_my_profile(self, **kwargs): # noqa: E501 """Return current profile of the current user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.user_profile_get_my_profile(async_req=True) >>> result = thread.get() :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: UserProfileVM """ kwargs['_return_http_data_only'] = True return self.user_profile_get_my_profile_with_http_info(**kwargs) # noqa: E501 def user_profile_get_my_profile_with_http_info(self, **kwargs): # noqa: E501 """Return current profile of the current user # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.user_profile_get_my_profile_with_http_info(async_req=True) >>> result = thread.get() :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: tuple(UserProfileVM, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method user_profile_get_my_profile" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['ApiKey', 'JWT'] # noqa: E501 response_types_map = { 200: "UserProfileVM", 400: "ProblemDetails", } return self.api_client.call_api( '/api/manage/v1/UserProfile', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, _request_auth=local_var_params.get('_request_auth')) def user_profile_get_user_profile(self, user_id, **kwargs): # noqa: E501 """Return user profile by user identifier. If the user did not provide information about himself or blocked, then the endpoint will return an empty model. (only id) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.user_profile_get_user_profile(user_id, async_req=True) >>> result = thread.get() :param user_id: (required) :type user_id: str :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: UserProfileVM """ kwargs['_return_http_data_only'] = True return self.user_profile_get_user_profile_with_http_info(user_id, **kwargs) # noqa: E501 def user_profile_get_user_profile_with_http_info(self, user_id, **kwargs): # noqa: E501 """Return user profile by user identifier. If the user did not provide information about himself or blocked, then the endpoint will return an empty model. (only id) # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.user_profile_get_user_profile_with_http_info(user_id, async_req=True) >>> result = thread.get() :param user_id: (required) :type user_id: str :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: tuple(UserProfileVM, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'user_id' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method user_profile_get_user_profile" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'user_id' is set if self.api_client.client_side_validation and ('user_id' not in local_var_params or # noqa: E501 local_var_params['user_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `user_id` when calling `user_profile_get_user_profile`") # noqa: E501 if self.api_client.client_side_validation and 'user_id' in local_var_params and not re.search(r'(^000000000000000000000000$|^[0-9a-f]{24}$|^([0-9a-f]{8}([-][0-9a-f]{4}){3}[-][0-9a-f]{12})$)', local_var_params['user_id']): # noqa: E501 raise ApiValueError("Invalid value for parameter `user_id` when calling `user_profile_get_user_profile`, must conform to the pattern `/(^000000000000000000000000$|^[0-9a-f]{24}$|^([0-9a-f]{8}([-][0-9a-f]{4}){3}[-][0-9a-f]{12})$)/`") # noqa: E501 collection_formats = {} path_params = {} if 'user_id' in local_var_params: path_params['userId'] = local_var_params['user_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['ApiKey', 'JWT'] # noqa: E501 response_types_map = { 200: "UserProfileVM", 404: "ProblemDetails", } return self.api_client.call_api( '/api/manage/v1/UserProfile/{userId}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, _request_auth=local_var_params.get('_request_auth')) def user_profile_update_my_profile(self, **kwargs): # noqa: E501 """Update profile of the current user # noqa: E501 This method is only allowed for local sign in via intranet # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.user_profile_update_my_profile(async_req=True) >>> result = thread.get() :param update_user_profile_vm: :type update_user_profile_vm: UpdateUserProfileVM :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: None """ kwargs['_return_http_data_only'] = True return self.user_profile_update_my_profile_with_http_info(**kwargs) # noqa: E501 def user_profile_update_my_profile_with_http_info(self, **kwargs): # noqa: E501 """Update profile of the current user # noqa: E501 This method is only allowed for local sign in via intranet # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.user_profile_update_my_profile_with_http_info(async_req=True) >>> result = thread.get() :param update_user_profile_vm: :type update_user_profile_vm: UpdateUserProfileVM :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: None """ local_var_params = locals() all_params = [ 'update_user_profile_vm' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method user_profile_update_my_profile" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'update_user_profile_vm' in local_var_params: body_params = local_var_params['update_user_profile_vm'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'text/json', 'application/*+json']) # noqa: E501 # Authentication setting auth_settings = ['ApiKey', 'JWT'] # noqa: E501 response_types_map = {} return self.api_client.call_api( '/api/manage/v1/UserProfile', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_types_map=response_types_map, auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, _request_auth=local_var_params.get('_request_auth'))

42.730233

258

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18,374

5.025949

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9a91dc7cbb1154d1df28fd5f77f64b42ee587d48

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py

Python

dsbot/bots/__init__.py

jefrysastre/dsbot

5afbfc34b2846f13d118df70160513935331983d

[ "MIT" ]

null

dsbot/bots/__init__.py

jefrysastre/dsbot

5afbfc34b2846f13d118df70160513935331983d

[ "MIT" ]

null

dsbot/bots/__init__.py

jefrysastre/dsbot

5afbfc34b2846f13d118df70160513935331983d

[ "MIT" ]

null

from .dense_net_bot import DenseNetBot from .dense_128_net_bot import Dense128NetBot

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9a99ca7925d76f4ace4163657b4391e3c424e40b

32,860

py

Python

shakespearelang/tests/test_debugging.py

zmbc/shakespeare

8a598d21c586c4c17442c4a71ccd291a946184d9

[ "MIT" ]

null

shakespearelang/tests/test_debugging.py

zmbc/shakespeare

8a598d21c586c4c17442c4a71ccd291a946184d9

[ "MIT" ]

null

shakespearelang/tests/test_debugging.py

zmbc/shakespeare

8a598d21c586c4c17442c4a71ccd291a946184d9

[ "MIT" ]

null

from tatsu.exceptions import FailedParse from io import StringIO import pytest import pexpect from .utils import expect_interaction, expect_output_exactly, create_play_file from textwrap import dedent NO_BREAKPOINTS = """ A New Beginning. Hamlet, a literary/storage device. Juliet, an orator. Act I: The Only Act. Scene I: The Prince's Speech. [Enter Hamlet and Juliet] Juliet: Thou art the sum of an amazing healthy honest noble peaceful fine Lord and a lovely sweet golden summer's day. Speak your mind! Juliet: Thou art the sum of thyself and a King. Speak your mind! Thou art the sum of an amazing healthy honest hamster and a golden chihuahua. Speak your mind! [Exeunt] """ ONLY_INPUT = """ Getting Input. Hamlet, a literary/storage device. Juliet, an orator. Act I: The Only Act. Scene I: The Prince Listens. [Enter Hamlet and Juliet] Juliet: Listen to your heart! Open your mind! """ BREAKPOINT = """ A New Beginning. Hamlet, a literary/storage device. Juliet, an orator. Act I: The Only Act. Scene I: The Prince's Speech. [Enter Hamlet and Juliet] Juliet: Thou art the sum of an amazing healthy honest noble peaceful fine Lord and a lovely sweet golden summer's day. Speak your mind! [A pause] Juliet: Thou art the sum of thyself and a King. Speak your mind! Thou art the sum of an amazing healthy honest hamster and a golden chihuahua. Speak your mind! [Exeunt] """ LOOP = """ A Cyclic Motion. Hamlet, a literary/storage device. Juliet, an orator. Act I: The Only Act. Scene I: The Initial Statement. [A pause] [Enter Hamlet and Juliet] Juliet: Thou art an animal. Scene II: The Prince's Speech. Juliet: Open your heart! Thou art the sum of thyself and a stone wall. Are you as good as the sum of a charming honest horse and a happiness? Juliet: If not, let us return to Scene II. Scene III: Nothing occurs. Scene IV: The closing. Juliet: Remember thyself! [Exeunt] """ def test_runs_a_program_without_breakpoints(tmp_path): file_path = tmp_path / "play.spl" create_play_file(file_path, NO_BREAKPOINTS) cli = pexpect.spawn(f"shakespeare debug {file_path} --output-style=basic") cli.setecho(False) cli.waitnoecho() expect_output_exactly(cli, "HI\n", eof=True) def test_defaults_to_verbose_output(tmp_path): file_path = tmp_path / "play.spl" create_play_file(file_path, NO_BREAKPOINTS) cli = pexpect.spawn(f"shakespeare debug {file_path}") cli.setecho(False) cli.waitnoecho() expect_output_exactly( cli, dedent( """\ Enter Hamlet, Juliet Hamlet set to 72 Outputting Hamlet Outputting character: 'H' Hamlet set to 73 Outputting Hamlet Outputting character: 'I' Hamlet set to 10 Outputting Hamlet Outputting character: '\\n' Exeunt all\n""" ), eof=True, ) def test_defaults_to_interactive_input(tmp_path): file_path = tmp_path / "play.spl" create_play_file(file_path, ONLY_INPUT) cli = pexpect.spawn(f"shakespeare debug {file_path}") cli.setecho(False) cli.waitnoecho() expect_output_exactly(cli, "Enter Hamlet, Juliet\nTaking input number: ") cli.sendline("10") expect_output_exactly( cli, "Setting Hamlet to input value 10\nTaking input character: " ) cli.sendline("H") expect_output_exactly(cli, "Setting Hamlet to input value 72\n", eof=True) def test_basic_input(tmp_path): file_path = tmp_path / "play.spl" create_play_file(file_path, ONLY_INPUT) cli = pexpect.spawn(f"shakespeare debug {file_path} --input-style=basic") cli.setecho(False) cli.waitnoecho() expect_output_exactly(cli, "Enter Hamlet, Juliet\n") cli.sendline("10") expect_output_exactly(cli, "Setting Hamlet to input value 10\n") cli.sendline("H") expect_output_exactly(cli, "Setting Hamlet to input value 72\n", eof=True) def test_breakpoint_console(tmp_path): file_path = tmp_path / "play.spl" create_play_file(file_path, BREAKPOINT) cli = pexpect.spawn(f"shakespeare debug {file_path}") cli.setecho(False) cli.waitnoecho() expect_output_exactly( cli, dedent( """\ Enter Hamlet, Juliet Hamlet set to 72 Outputting Hamlet Outputting character: 'H' ----- mind! [A pause] Juliet: >>Thou art the sum of thyself and a King.<< Speak your mind! Thou art the sum of an amazing healthy honest hamster and a golden chihuahua. Speak your mind! ----- >> """ ), ) expect_interaction(cli, "Juliet", "0 ()") expect_interaction(cli, "Hamlet", "72 ()") expect_interaction(cli, "exit", "", prompt=False) expect_output_exactly(cli, "", eof=True) def test_goto(tmp_path): file_path = tmp_path / "play.spl" create_play_file(file_path, LOOP) cli = pexpect.spawn(f"shakespeare debug {file_path}") cli.setecho(False) cli.waitnoecho() expect_output_exactly( cli, dedent( """\ ----- Scene I: The Initial Statement. [A pause] >>[Enter Hamlet and Juliet]<< Juliet: Thou art an animal. Scene II: The Prince's Speech. ----- >> """ ), ) expect_interaction( cli, "next", dedent( """\ Enter Hamlet, Juliet ----- [A pause] [Enter Hamlet and Juliet] Juliet: >>Thou art an animal.<< Scene II: The Prince's Speech. Juliet: Open your heart! Thou art the sum of thyself and a stone wall. ----- """ ), ) expect_interaction( cli, "Hamlet: Let us proceed to Scene III.", dedent( """\ Jumping to Scene III ----- Scene III: Nothing occurs. Scene IV: The closing. Juliet: >>Remember thyself!<< [Exeunt] ----- """ ), ) expect_interaction( cli, "next", dedent( """\ Hamlet pushed 0 ----- Scene IV: The closing. Juliet: Remember thyself! >>[Exeunt]<< ----- """ ), ) expect_interaction(cli, "next", "Exeunt all", prompt=False) expect_output_exactly(cli, "", eof=True) def test_step_through(tmp_path): file_path = tmp_path / "play.spl" create_play_file(file_path, LOOP) cli = pexpect.spawn(f"shakespeare debug {file_path}") cli.setecho(False) cli.waitnoecho() expect_output_exactly( cli, dedent( """\ ----- Scene I: The Initial Statement. [A pause] >>[Enter Hamlet and Juliet]<< Juliet: Thou art an animal. Scene II: The Prince's Speech. ----- >> """ ), ) expect_interaction(cli, "Hamlet", "0 ()") expect_interaction( cli, "next", dedent( """\ Enter Hamlet, Juliet ----- [A pause] [Enter Hamlet and Juliet] Juliet: >>Thou art an animal.<< Scene II: The Prince's Speech. Juliet: Open your heart! Thou art the sum of thyself and a stone wall. ----- """ ), ) expect_interaction(cli, "Hamlet", "0 ()") expect_interaction( cli, "next", dedent( """\ Hamlet set to 1 ----- Juliet: Thou art an animal. Scene II: The Prince's Speech. Juliet: >>Open your heart!<< Thou art the sum of thyself and a stone wall. Are you as good as the sum of a charming honest horse and a happiness? Juliet: If not, let us return to Scene II. ----- """ ), ) expect_interaction(cli, "Hamlet", "1 ()") expect_interaction( cli, "next", dedent( """\ Outputting Hamlet Outputting number: 1 ----- Juliet: Thou art an animal. Scene II: The Prince's Speech. Juliet: Open your heart! >>Thou art the sum of thyself and a stone wall.<< Are you as good as the sum of a charming honest horse and a happiness? Juliet: If not, let us return to Scene II. ----- """ ), ) expect_interaction( cli, "next", dedent( """\ Hamlet set to 2 ----- Scene II: The Prince's Speech. Juliet: Open your heart! Thou art the sum of thyself and a stone wall. >>Are you as good as the sum of a charming honest horse and a happiness?<< Juliet: If not, let us return to Scene II. Scene III: Nothing occurs. ----- """ ), ) expect_interaction(cli, "Hamlet", "2 ()") expect_interaction( cli, "next", dedent( """\ Setting global boolean to False ----- Juliet: Open your heart! Thou art the sum of thyself and a stone wall. Are you as good as the sum of a charming honest horse and a happiness? Juliet: >>If not, let us return to Scene II.<< Scene III: Nothing occurs. Scene IV: The closing. ----- """ ), ) expect_interaction( cli, "state", dedent( """\ global boolean = False on stage: Hamlet = 2 () Juliet = 0 () off stage:""" ), ) expect_interaction( cli, "next", dedent( """\ Jumping to Scene II ----- Juliet: Thou art an animal. Scene II: The Prince's Speech. Juliet: >>Open your heart!<< Thou art the sum of thyself and a stone wall. Are you as good as the sum of a charming honest horse and a happiness? Juliet: If not, let us return to Scene II. ----- """ ), ) expect_interaction( cli, "next", dedent( """\ Outputting Hamlet Outputting number: 2 ----- Juliet: Thou art an animal. Scene II: The Prince's Speech. Juliet: Open your heart! >>Thou art the sum of thyself and a stone wall.<< Are you as good as the sum of a charming honest horse and a happiness? Juliet: If not, let us return to Scene II. ----- """ ), ) expect_interaction( cli, "next", dedent( """\ Hamlet set to 3 ----- Scene II: The Prince's Speech. Juliet: Open your heart! Thou art the sum of thyself and a stone wall. >>Are you as good as the sum of a charming honest horse and a happiness?<< Juliet: If not, let us return to Scene II. Scene III: Nothing occurs. ----- """ ), ) expect_interaction( cli, "next", dedent( """\ Setting global boolean to False ----- Juliet: Open your heart! Thou art the sum of thyself and a stone wall. Are you as good as the sum of a charming honest horse and a happiness? Juliet: >>If not, let us return to Scene II.<< Scene III: Nothing occurs. Scene IV: The closing. ----- """ ), ) expect_interaction( cli, "next", dedent( """\ Jumping to Scene II ----- Juliet: Thou art an animal. Scene II: The Prince's Speech. Juliet: >>Open your heart!<< Thou art the sum of thyself and a stone wall. Are you as good as the sum of a charming honest horse and a happiness? Juliet: If not, let us return to Scene II. ----- """ ), ) expect_interaction( cli, "next", dedent( """\ Outputting Hamlet Outputting number: 3 ----- Juliet: Thou art an animal. Scene II: The Prince's Speech. Juliet: Open your heart! >>Thou art the sum of thyself and a stone wall.<< Are you as good as the sum of a charming honest horse and a happiness? Juliet: If not, let us return to Scene II. ----- """ ), ) expect_interaction( cli, "next", dedent( """\ Hamlet set to 4 ----- Scene II: The Prince's Speech. Juliet: Open your heart! Thou art the sum of thyself and a stone wall. >>Are you as good as the sum of a charming honest horse and a happiness?<< Juliet: If not, let us return to Scene II. Scene III: Nothing occurs. ----- """ ), ) expect_interaction( cli, "next", dedent( """\ Setting global boolean to False ----- Juliet: Open your heart! Thou art the sum of thyself and a stone wall. Are you as good as the sum of a charming honest horse and a happiness? Juliet: >>If not, let us return to Scene II.<< Scene III: Nothing occurs. Scene IV: The closing. ----- """ ), ) expect_interaction( cli, "next", dedent( """\ Jumping to Scene II ----- Juliet: Thou art an animal. Scene II: The Prince's Speech. Juliet: >>Open your heart!<< Thou art the sum of thyself and a stone wall. Are you as good as the sum of a charming honest horse and a happiness? Juliet: If not, let us return to Scene II. ----- """ ), ) expect_interaction( cli, "next", dedent( """\ Outputting Hamlet Outputting number: 4 ----- Juliet: Thou art an animal. Scene II: The Prince's Speech. Juliet: Open your heart! >>Thou art the sum of thyself and a stone wall.<< Are you as good as the sum of a charming honest horse and a happiness? Juliet: If not, let us return to Scene II. ----- """ ), ) expect_interaction( cli, "next", dedent( """\ Hamlet set to 5 ----- Scene II: The Prince's Speech. Juliet: Open your heart! Thou art the sum of thyself and a stone wall. >>Are you as good as the sum of a charming honest horse and a happiness?<< Juliet: If not, let us return to Scene II. Scene III: Nothing occurs. ----- """ ), ) expect_interaction( cli, "next", dedent( """\ Setting global boolean to True ----- Juliet: Open your heart! Thou art the sum of thyself and a stone wall. Are you as good as the sum of a charming honest horse and a happiness? Juliet: >>If not, let us return to Scene II.<< Scene III: Nothing occurs. Scene IV: The closing. ----- """ ), ) expect_interaction( cli, "next", dedent( """\ Not jumping to Scene II because global boolean is True ----- Scene III: Nothing occurs. Scene IV: The closing. Juliet: >>Remember thyself!<< [Exeunt] ----- """ ), ) expect_interaction( cli, "next", dedent( """\ Hamlet pushed 5 ----- Scene IV: The closing. Juliet: Remember thyself! >>[Exeunt]<< ----- """ ), ) expect_interaction(cli, "next", "Exeunt all", prompt=False) expect_output_exactly(cli, "", eof=True) def test_exit_loop_by_character_state(tmp_path): file_path = tmp_path / "play.spl" create_play_file(file_path, LOOP) cli = pexpect.spawn(f"shakespeare debug {file_path}") cli.setecho(False) cli.waitnoecho() expect_output_exactly( cli, dedent( """\ ----- Scene I: The Initial Statement. [A pause] >>[Enter Hamlet and Juliet]<< Juliet: Thou art an animal. Scene II: The Prince's Speech. ----- >> """ ), ) expect_interaction(cli, "Hamlet", "0 ()") expect_interaction( cli, "next", dedent( """\ Enter Hamlet, Juliet ----- [A pause] [Enter Hamlet and Juliet] Juliet: >>Thou art an animal.<< Scene II: The Prince's Speech. Juliet: Open your heart! Thou art the sum of thyself and a stone wall. ----- """ ), ) expect_interaction(cli, "Hamlet", "0 ()") expect_interaction( cli, "next", dedent( """\ Hamlet set to 1 ----- Juliet: Thou art an animal. Scene II: The Prince's Speech. Juliet: >>Open your heart!<< Thou art the sum of thyself and a stone wall. Are you as good as the sum of a charming honest horse and a happiness? Juliet: If not, let us return to Scene II. ----- """ ), ) expect_interaction(cli, "Hamlet", "1 ()") expect_interaction( cli, "next", dedent( """\ Outputting Hamlet Outputting number: 1 ----- Juliet: Thou art an animal. Scene II: The Prince's Speech. Juliet: Open your heart! >>Thou art the sum of thyself and a stone wall.<< Are you as good as the sum of a charming honest horse and a happiness? Juliet: If not, let us return to Scene II. ----- """ ), ) expect_interaction( cli, "next", dedent( """\ Hamlet set to 2 ----- Scene II: The Prince's Speech. Juliet: Open your heart! Thou art the sum of thyself and a stone wall. >>Are you as good as the sum of a charming honest horse and a happiness?<< Juliet: If not, let us return to Scene II. Scene III: Nothing occurs. ----- """ ), ) expect_interaction(cli, "Hamlet", "2 ()") expect_interaction( cli, "next", dedent( """\ Setting global boolean to False ----- Juliet: Open your heart! Thou art the sum of thyself and a stone wall. Are you as good as the sum of a charming honest horse and a happiness? Juliet: >>If not, let us return to Scene II.<< Scene III: Nothing occurs. Scene IV: The closing. ----- """ ), ) expect_interaction( cli, "state", dedent( """\ global boolean = False on stage: Hamlet = 2 () Juliet = 0 () off stage:""" ), ) expect_interaction( cli, "next", dedent( """\ Jumping to Scene II ----- Juliet: Thou art an animal. Scene II: The Prince's Speech. Juliet: >>Open your heart!<< Thou art the sum of thyself and a stone wall. Are you as good as the sum of a charming honest horse and a happiness? Juliet: If not, let us return to Scene II. ----- """ ), ) expect_interaction( cli, "next", dedent( """\ Outputting Hamlet Outputting number: 2 ----- Juliet: Thou art an animal. Scene II: The Prince's Speech. Juliet: Open your heart! >>Thou art the sum of thyself and a stone wall.<< Are you as good as the sum of a charming honest horse and a happiness? Juliet: If not, let us return to Scene II. ----- """ ), ) expect_interaction( cli, "next", dedent( """\ Hamlet set to 3 ----- Scene II: The Prince's Speech. Juliet: Open your heart! Thou art the sum of thyself and a stone wall. >>Are you as good as the sum of a charming honest horse and a happiness?<< Juliet: If not, let us return to Scene II. Scene III: Nothing occurs. ----- """ ), ) expect_interaction( cli, "Juliet: Thou art as good as the sum of a charming honest horse and a happiness.", "Hamlet set to 5", ) expect_interaction( cli, "next", dedent( """\ Setting global boolean to True ----- Juliet: Open your heart! Thou art the sum of thyself and a stone wall. Are you as good as the sum of a charming honest horse and a happiness? Juliet: >>If not, let us return to Scene II.<< Scene III: Nothing occurs. Scene IV: The closing. ----- """ ), ) expect_interaction( cli, "next", dedent( """\ Not jumping to Scene II because global boolean is True ----- Scene III: Nothing occurs. Scene IV: The closing. Juliet: >>Remember thyself!<< [Exeunt] ----- """ ), ) expect_interaction( cli, "next", dedent( """\ Hamlet pushed 5 ----- Scene IV: The closing. Juliet: Remember thyself! >>[Exeunt]<< ----- """ ), ) expect_interaction(cli, "next", "Exeunt all", prompt=False) expect_output_exactly(cli, "", eof=True) def test_exit_loop_by_boolean_state(tmp_path): file_path = tmp_path / "play.spl" create_play_file(file_path, LOOP) cli = pexpect.spawn(f"shakespeare debug {file_path}") cli.setecho(False) cli.waitnoecho() expect_output_exactly( cli, dedent( """\ ----- Scene I: The Initial Statement. [A pause] >>[Enter Hamlet and Juliet]<< Juliet: Thou art an animal. Scene II: The Prince's Speech. ----- >> """ ), ) expect_interaction(cli, "Hamlet", "0 ()") expect_interaction( cli, "next", dedent( """\ Enter Hamlet, Juliet ----- [A pause] [Enter Hamlet and Juliet] Juliet: >>Thou art an animal.<< Scene II: The Prince's Speech. Juliet: Open your heart! Thou art the sum of thyself and a stone wall. ----- """ ), ) expect_interaction(cli, "Hamlet", "0 ()") expect_interaction( cli, "next", dedent( """\ Hamlet set to 1 ----- Juliet: Thou art an animal. Scene II: The Prince's Speech. Juliet: >>Open your heart!<< Thou art the sum of thyself and a stone wall. Are you as good as the sum of a charming honest horse and a happiness? Juliet: If not, let us return to Scene II. ----- """ ), ) expect_interaction(cli, "Hamlet", "1 ()") expect_interaction( cli, "next", dedent( """\ Outputting Hamlet Outputting number: 1 ----- Juliet: Thou art an animal. Scene II: The Prince's Speech. Juliet: Open your heart! >>Thou art the sum of thyself and a stone wall.<< Are you as good as the sum of a charming honest horse and a happiness? Juliet: If not, let us return to Scene II. ----- """ ), ) expect_interaction( cli, "next", dedent( """\ Hamlet set to 2 ----- Scene II: The Prince's Speech. Juliet: Open your heart! Thou art the sum of thyself and a stone wall. >>Are you as good as the sum of a charming honest horse and a happiness?<< Juliet: If not, let us return to Scene II. Scene III: Nothing occurs. ----- """ ), ) expect_interaction(cli, "Hamlet", "2 ()") expect_interaction( cli, "next", dedent( """\ Setting global boolean to False ----- Juliet: Open your heart! Thou art the sum of thyself and a stone wall. Are you as good as the sum of a charming honest horse and a happiness? Juliet: >>If not, let us return to Scene II.<< Scene III: Nothing occurs. Scene IV: The closing. ----- """ ), ) expect_interaction( cli, "state", dedent( """\ global boolean = False on stage: Hamlet = 2 () Juliet = 0 () off stage:""" ), ) expect_interaction( cli, "next", dedent( """\ Jumping to Scene II ----- Juliet: Thou art an animal. Scene II: The Prince's Speech. Juliet: >>Open your heart!<< Thou art the sum of thyself and a stone wall. Are you as good as the sum of a charming honest horse and a happiness? Juliet: If not, let us return to Scene II. ----- """ ), ) expect_interaction( cli, "next", dedent( """\ Outputting Hamlet Outputting number: 2 ----- Juliet: Thou art an animal. Scene II: The Prince's Speech. Juliet: Open your heart! >>Thou art the sum of thyself and a stone wall.<< Are you as good as the sum of a charming honest horse and a happiness? Juliet: If not, let us return to Scene II. ----- """ ), ) expect_interaction( cli, "next", dedent( """\ Hamlet set to 3 ----- Scene II: The Prince's Speech. Juliet: Open your heart! Thou art the sum of thyself and a stone wall. >>Are you as good as the sum of a charming honest horse and a happiness?<< Juliet: If not, let us return to Scene II. Scene III: Nothing occurs. ----- """ ), ) expect_interaction( cli, "next", dedent( """\ Setting global boolean to False ----- Juliet: Open your heart! Thou art the sum of thyself and a stone wall. Are you as good as the sum of a charming honest horse and a happiness? Juliet: >>If not, let us return to Scene II.<< Scene III: Nothing occurs. Scene IV: The closing. ----- """ ), ) expect_interaction( cli, "Juliet: Are you as good as the sum of a charming horse and a happiness?", "Setting global boolean to True", ) expect_interaction( cli, "next", dedent( """\ Not jumping to Scene II because global boolean is True ----- Scene III: Nothing occurs. Scene IV: The closing. Juliet: >>Remember thyself!<< [Exeunt] ----- """ ), ) expect_interaction( cli, "next", dedent( """\ Hamlet pushed 3 ----- Scene IV: The closing. Juliet: Remember thyself! >>[Exeunt]<< ----- """ ), ) expect_interaction(cli, "next", "Exeunt all", prompt=False) expect_output_exactly(cli, "", eof=True)

24.485842

98

0.444948

3,307

32,860

4.358331

0.049592

0.033303

0.044404

0.078263

0.949282

0.945674

0.942205

0

0.003731

0.469811

32,860

1,341

99

24.504101

0.823556

0

0.780335

0

0.282049

0

1

0.018828

false

0

0.012552

0

0.031381

0

null

0

1

0

1

0

null

0

7

9ae222e6efe89ac789a0ae957c7f2a8b734fe3d0

177

py

Python

hilbert/tests/__init__.py

Capstrat/django-hilbert

d4614d5309c8c2a43af85aa10044f7a518f4b59d

[ "BSD-2-Clause" ]

null

hilbert/tests/__init__.py

Capstrat/django-hilbert

d4614d5309c8c2a43af85aa10044f7a518f4b59d

[ "BSD-2-Clause" ]

null

hilbert/tests/__init__.py

Capstrat/django-hilbert

d4614d5309c8c2a43af85aa10044f7a518f4b59d

[ "BSD-2-Clause" ]

null

from hilbert.tests.base import * from hilbert.tests.decorators import * from hilbert.tests.http import * from hilbert.tests.middleware import * from hilbert.tests.test import *

29.5

38

0.80226

25

177

5.68

0.36

0.387324

0.56338

0.619718

0

0.112994

177

5

39

35.4

0.904459

0

1

0

true

0

1

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1

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1

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1

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null

0

1

0

1

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1

0

8

491456b6541c1c010046ace82d3c746f79829764

3,228

py

Python

tests/test_ghdl.py

codepainters/edalize

220952c38864735238212ab92405167cbf16c528

[ "BSD-2-Clause" ]

1

2022-03-17T23:30:32.000Z

tests/test_ghdl.py

codepainters/edalize

220952c38864735238212ab92405167cbf16c528

[ "BSD-2-Clause" ]

null

tests/test_ghdl.py

codepainters/edalize

220952c38864735238212ab92405167cbf16c528

[ "BSD-2-Clause" ]

null

import os from edalize_common import make_edalize_test def test_ghdl_01(make_edalize_test): tf = make_edalize_test( "ghdl", ref_dir="test01", param_types=["generic"], tool_options={ "analyze_options": ["some", "analyze_options"], "run_options": ["a", "few", "run_options"], }, ) for vhdl_file in ["vhdl_file.vhd", "vhdl_lfile", "vhdl2008_file"]: with open(os.path.join(tf.work_root, vhdl_file), "a"): os.utime(os.path.join(tf.work_root, vhdl_file), None) tf.backend.configure() tf.compare_files(["Makefile"]) tf.backend.build() tf.compare_files(["analyze.cmd"]) tf.backend.run() tf.compare_files(["elab-run.cmd"]) LOCAL_FILES = [ {"name": "vhdl_file.vhd", "file_type": "vhdlSource"}, {"name": "vhdl_lfile", "file_type": "vhdlSource", "logical_name": "libx"}, ] # Test 02 - no vhdl version specified def test_ghdl_02(make_edalize_test): tf = make_edalize_test( "ghdl", ref_dir="test02", test_name="test_ghdl_02", param_types=["generic"], files=LOCAL_FILES, tool_options={ "analyze_options": ["some", "analyze_options"], "run_options": ["a", "few", "run_options"], }, ) for vhdl_file in ["vhdl_file.vhd", "vhdl_lfile", "vhdl2008_file"]: with open(os.path.join(tf.work_root, vhdl_file), "a"): os.utime(os.path.join(tf.work_root, vhdl_file), None) tf.backend.configure() tf.compare_files(["Makefile"]) tf.backend.build() tf.compare_files(["analyze.cmd"]) tf.backend.run() tf.compare_files(["elab-run.cmd"]) # Test 03 - vhdl Version override def test_ghdl_03(make_edalize_test): tf = make_edalize_test( "ghdl", ref_dir="test03", test_name="test_ghdl_03", param_types=["generic"], files=LOCAL_FILES, tool_options={ "analyze_options": ["--std=08", "--ieee=synopsys"], "run_options": ["a", "few", "run_options"], }, ) for vhdl_file in ["vhdl_file.vhd", "vhdl_lfile", "vhdl2008_file"]: with open(os.path.join(tf.work_root, vhdl_file), "a"): os.utime(os.path.join(tf.work_root, vhdl_file), None) tf.backend.configure() tf.compare_files(["Makefile"]) tf.backend.build() tf.compare_files(["analyze.cmd"]) tf.backend.run() tf.compare_files(["elab-run.cmd"]) # Test 04 - Top level includes library def test_ghdl_04(make_edalize_test): tf = make_edalize_test( "ghdl", ref_dir="test04", param_types=["generic"], tool_options={ "analyze_options": ["some", "analyze_options"], "run_options": ["a", "few", "run_options"], }, toplevel="libx.vhdl_lfile", ) for vhdl_file in ["vhdl_file.vhd", "vhdl_lfile", "vhdl2008_file"]: with open(os.path.join(tf.work_root, vhdl_file), "a"): os.utime(os.path.join(tf.work_root, vhdl_file), None) tf.backend.configure() tf.compare_files(["Makefile"]) tf.backend.build() tf.compare_files(["analyze.cmd"]) tf.backend.run() tf.compare_files(["elab-run.cmd"])

26.9

78

0.599752

417

3,228

4.371703

0.172662

0.074602

0.092156

0.05266

0.803072

0

0.017778

0.233271

3,228

119

79

27.12605

0.718788

0.032218

0

0.701149

0

0.226923

0

1

0.045977

false

0

0.022989

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0.068966

0

null

0

1

0

1

0

null

0

7

494f9d2a2e13282991aa4f433307f9c69c74a32e

141

py

Python

cnns/__init__.py

jalexvig/cnns

010d3255939513a33c578e4b29df97f3ad9ef068

[ "MIT" ]

19

2018-08-29T02:17:30.000Z

2022-02-25T13:54:29.000Z

cnns/__init__.py

jalexvig/cnns

010d3255939513a33c578e4b29df97f3ad9ef068

[ "MIT" ]

null

cnns/__init__.py

jalexvig/cnns

010d3255939513a33c578e4b29df97f3ad9ef068

[ "MIT" ]

3

2019-03-03T13:16:38.000Z

2021-04-15T09:52:12.000Z

from cnns.cnn import cnn2d from cnns.cnn_depthwise import cnn2d_depthwise from cnns.cnn_depthwise_separable import cnn2d_depthwise_separable

35.25

66

0.893617

21

141

5.714286

0.333333

0.2

0.275

0.333333

0

0.023256

0.085106

141

3

67

47

0.906977

0

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true

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null

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0

1

0

1

0

7

774fcda21a8351d3ebc8001faf99296a83e7c22c

68

py

Python

build/lib.linux-x86_64-2.7/error_generator/strategies/switch_value/Similar_based_active_domain/__init__.py

BigDaMa/error-generator

7d8949fc8fb00b6285c7c220dbda7451dc152e44

[ "Apache-2.0" ]

2

2018-11-11T07:52:51.000Z

2019-06-19T05:44:55.000Z

build/lib.linux-x86_64-2.7/error_generator/strategies/switch_value/Similar_based_active_domain/__init__.py

BigDaMa/error-generator

7d8949fc8fb00b6285c7c220dbda7451dc152e44

[ "Apache-2.0" ]

5

2018-07-20T15:08:23.000Z

2018-11-21T13:18:01.000Z

error_generator/strategies/switch_value/Similar_based_active_domain/__init__.py

BigDaMa/error-generator

7d8949fc8fb00b6285c7c220dbda7451dc152e44

[ "Apache-2.0" ]

1

2020-11-25T15:16:16.000Z

from .similar_based_active_domain import Similar_Based_Active_Domain

68

0.941176

10

68

5.8

0.6

0.413793

0.62069

0.827586

0

0.044118

68

1

68

0.892308

0

1

0

true

0

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1

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1

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null

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1

0

null

0

1

0

1

0

1

0

8

6550c6ffd7417887fa18965d89d9b4cf9515085e

3,851

py

Python

test/pyaz/storage/container_rm/__init__.py

bigdatamoore/py-az-cli

54383a4ee7cc77556f6183e74e992eec95b28e01

[ "MIT" ]

null

test/pyaz/storage/container_rm/__init__.py

bigdatamoore/py-az-cli

54383a4ee7cc77556f6183e74e992eec95b28e01

[ "MIT" ]

9

2021-09-24T16:37:24.000Z

2021-12-24T00:39:19.000Z

test/pyaz/storage/container_rm/__init__.py

bigdatamoore/py-az-cli

54383a4ee7cc77556f6183e74e992eec95b28e01

[ "MIT" ]

null

import json, subprocess from ... pyaz_utils import get_cli_name, get_params def create(name, resource_group=None, storage_account, metadata=None, public_access=None, fail_on_exist=None, default_encryption_scope=None, deny_encryption_scope_override=None, enable_vlw=None): params = get_params(locals()) command = "az storage container-rm create " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def delete(resource_group=None, storage_account, name, yes=None): params = get_params(locals()) command = "az storage container-rm delete " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def update(resource_group=None, storage_account, name, metadata=None, public_access=None, default_encryption_scope=None, deny_encryption_scope_override=None, set=None, add=None, remove=None, force_string=None): params = get_params(locals()) command = "az storage container-rm update " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def list(resource_group=None, storage_account, include_deleted=None): params = get_params(locals()) command = "az storage container-rm list " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def exists(resource_group=None, storage_account, name): params = get_params(locals()) command = "az storage container-rm exists " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def show(resource_group=None, storage_account, name): params = get_params(locals()) command = "az storage container-rm show " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr) def migrate_vlw(resource_group=None, storage_account, name, no_wait=None): params = get_params(locals()) command = "az storage container-rm migrate-vlw " + params print(command) output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout = output.stdout.decode("utf-8") stderr = output.stderr.decode("utf-8") if stdout: return json.loads(stdout) print(stdout) else: raise Exception(stderr) print(stderr)

37.754902

210

0.681381

478

3,851

5.39749

0.142259

0.075969

0.054264

0.065116

0.912016

0.867829

0.827132

0

0.004572

0.204882

3,851

101

211

38.128713

0.838014

0

0.827957

0

0.074786

0

null

0

0.021505

null

0.225806

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null

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1

0

1

0

null

0

1

0

8

6567c5a3d4c32e1c2136b8309cf9860085aada1a

1,444

py

Python

tests/test_QGridContainer___eq__.py

nivlekp/abjad-ext-nauert

de39600b84eec8b326441f54bf388802d1584c8e

[ "MIT" ]

2

2020-12-06T20:54:13.000Z

2021-04-15T16:02:28.000Z

tests/test_QGridContainer___eq__.py

nivlekp/abjad-ext-nauert

de39600b84eec8b326441f54bf388802d1584c8e

[ "MIT" ]

34

2018-06-16T17:40:35.000Z

2022-03-20T14:43:23.000Z

tests/test_QGridContainer___eq__.py

nivlekp/abjad-ext-nauert

de39600b84eec8b326441f54bf388802d1584c8e

[ "MIT" ]

1

2020-10-16T13:07:54.000Z

import abjadext.nauert def test_QGridContainer___eq___01(): a = abjadext.nauert.QGridContainer(preprolated_duration=1, children=[]) b = abjadext.nauert.QGridContainer(preprolated_duration=1, children=[]) assert format(a) == format(b) assert a != b def test_QGridContainer___eq___02(): a = abjadext.nauert.QGridContainer( preprolated_duration=1, children=[abjadext.nauert.QGridLeaf(preprolated_duration=1)], ) b = abjadext.nauert.QGridContainer( preprolated_duration=1, children=[abjadext.nauert.QGridLeaf(preprolated_duration=1)], ) assert format(a) == format(b) assert a != b def test_QGridContainer___eq___03(): a = abjadext.nauert.QGridContainer(preprolated_duration=1, children=[]) b = abjadext.nauert.QGridContainer(preprolated_duration=2, children=[]) c = abjadext.nauert.QGridContainer( preprolated_duration=1, children=[abjadext.nauert.QGridLeaf(preprolated_duration=1)], ) d = abjadext.nauert.QGridContainer( preprolated_duration=2, children=[abjadext.nauert.QGridLeaf(preprolated_duration=1)], ) e = abjadext.nauert.QGridContainer( preprolated_duration=2, children=[abjadext.nauert.QGridLeaf(2)] ) assert a != b assert a != c assert a != d assert a != e assert b != c assert b != d assert b != e assert c != d assert c != e assert d != e

26.740741

75

0.674515

164

1,444

5.731707

0.140244

0.223404

0.212766

0.373404

0.858511

0.82766

0.815957

0

0.017575

0.211911

1,444

53

76

27.245283

0.808436

0

0.341463

0

0.341463

1

0.073171

false

0

0.02439

0

0.097561

0

null

1

0

null

0

9

6570d187a9bf0bc455c91f74b111a181eb6ae115

42

py

Python

katana-ui/ui/blueprints/user/__init__.py

afoteas/katana-slice_manager

f03a8520fc06f7bed18ff5c2a01a9b8ea7da84c8

[ "Apache-2.0" ]

55

2019-07-24T15:52:11.000Z

2022-03-27T22:58:59.000Z

katana-ui/ui/blueprints/user/__init__.py

afoteas/katana-slice_manager

f03a8520fc06f7bed18ff5c2a01a9b8ea7da84c8

[ "Apache-2.0" ]

39

2019-12-16T13:53:08.000Z

2022-01-29T15:58:20.000Z

katana-ui/ui/blueprints/user/__init__.py

afoteas/katana-slice_manager

f03a8520fc06f7bed18ff5c2a01a9b8ea7da84c8

[ "Apache-2.0" ]

20

2019-07-25T09:17:33.000Z

2022-03-28T03:34:38.000Z

from ui.blueprints.user.views import user

21

41

0.833333

7

42

5

0.857143

0

0.095238

42

1

42

0.921053

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

7

65a8fb1c2c0e0b78cfc6031b0808c08945539981

20,969

py

Python

release/stubs.min/Grasshopper/Kernel/Undo/Actions.py

YKato521/ironpython-stubs

b1f7c580de48528490b3ee5791b04898be95a9ae

[ "MIT" ]

null

release/stubs.min/Grasshopper/Kernel/Undo/Actions.py

YKato521/ironpython-stubs

b1f7c580de48528490b3ee5791b04898be95a9ae

[ "MIT" ]

null

release/stubs.min/Grasshopper/Kernel/Undo/Actions.py

YKato521/ironpython-stubs

b1f7c580de48528490b3ee5791b04898be95a9ae

[ "MIT" ]

null

# encoding: utf-8 # module Grasshopper.Kernel.Undo.Actions calls itself Actions # from Grasshopper,Version=1.0.0.20,Culture=neutral,PublicKeyToken=dda4f5ec2cd80803 # by generator 1.145 """ NamespaceTracker represent a CLS namespace. """ # no imports # no functions # classes class GH_AddObjectAction(GH_UndoAction, IGH_UndoAction, GH_ISerializable): """ GH_AddObjectAction(obj: IGH_DocumentObject) """ def Internal_Redo(self, *args): """ Internal_Redo(self: GH_AddObjectAction,doc: GH_Document) """ pass def Internal_Undo(self, *args): """ Internal_Undo(self: GH_AddObjectAction,doc: GH_Document) """ pass def __init__(self, *args): """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod def __new__(self, obj): """ __new__(cls: type,obj: IGH_DocumentObject) """ pass ExpiresSolution = property( lambda self: object(), lambda self, v: None, lambda self: None ) """Get: ExpiresSolution(self: GH_AddObjectAction) -> bool """ class GH_AddStateAction(GH_ArchivedUndoAction, IGH_UndoAction, GH_ISerializable): """ GH_AddStateAction(index: int,state: GH_State) """ def Deserialize(self, *args): """ Deserialize(self: GH_ArchivedUndoAction,obj: GH_ISerializable) """ pass def Internal_Redo(self, *args): """ Internal_Redo(self: GH_AddStateAction,doc: GH_Document) """ pass def Internal_Undo(self, *args): """ Internal_Undo(self: GH_AddStateAction,doc: GH_Document) """ pass def Read(self, reader): """ Read(self: GH_AddStateAction,reader: GH_IReader) -> bool """ pass def Serialize(self, *args): """ Serialize(self: GH_ArchivedUndoAction,obj: GH_ISerializable) """ pass def SerializeToByteArray(self, *args): """ SerializeToByteArray(self: GH_ArchivedUndoAction,obj: GH_ISerializable) -> Array[Byte] """ pass def Write(self, writer): """ Write(self: GH_AddStateAction,writer: GH_IWriter) -> bool """ pass def __init__(self, *args): """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod def __new__(self, index, state): """ __new__(cls: type,index: int,state: GH_State) """ pass m_data = None class GH_DataMatchingAction(GH_ObjectUndoAction, IGH_UndoAction, GH_ISerializable): """ GH_DataMatchingAction(obj: IGH_Component) """ def Internal_Redo(self, *args): """ Internal_Redo(self: GH_ObjectUndoAction,doc: GH_Document) """ pass def Internal_Undo(self, *args): """ Internal_Undo(self: GH_ObjectUndoAction,doc: GH_Document) """ pass def Object_Redo(self, *args): """ Object_Redo(self: GH_DataMatchingAction,doc: GH_Document,obj: IGH_DocumentObject) """ pass def Object_Undo(self, *args): """ Object_Undo(self: GH_DataMatchingAction,doc: GH_Document,obj: IGH_DocumentObject) """ pass def __init__(self, *args): """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod def __new__(self, obj): """ __new__(cls: type,obj: IGH_Component) """ pass ExpiresSolution = property( lambda self: object(), lambda self, v: None, lambda self: None ) """Get: ExpiresSolution(self: GH_DataMatchingAction) -> bool """ class GH_DataModificationAction(GH_ObjectUndoAction, IGH_UndoAction, GH_ISerializable): """ GH_DataModificationAction(obj: IGH_Param) """ def Internal_Redo(self, *args): """ Internal_Redo(self: GH_ObjectUndoAction,doc: GH_Document) """ pass def Internal_Undo(self, *args): """ Internal_Undo(self: GH_ObjectUndoAction,doc: GH_Document) """ pass def Object_Redo(self, *args): """ Object_Redo(self: GH_DataModificationAction,doc: GH_Document,obj: IGH_DocumentObject) """ pass def Object_Undo(self, *args): """ Object_Undo(self: GH_DataModificationAction,doc: GH_Document,obj: IGH_DocumentObject) """ pass def __init__(self, *args): """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod def __new__(self, obj): """ __new__(cls: type,obj: IGH_Param) """ pass ExpiresSolution = property( lambda self: object(), lambda self, v: None, lambda self: None ) """Get: ExpiresSolution(self: GH_DataModificationAction) -> bool """ class GH_GenericObjectAction(GH_ArchivedUndoAction, IGH_UndoAction, GH_ISerializable): """ GH_GenericObjectAction(obj: IGH_DocumentObject) """ def Deserialize(self, *args): """ Deserialize(self: GH_ArchivedUndoAction,obj: GH_ISerializable) """ pass def Internal_Redo(self, *args): """ Internal_Redo(self: GH_GenericObjectAction,doc: GH_Document) """ pass def Internal_Undo(self, *args): """ Internal_Undo(self: GH_GenericObjectAction,doc: GH_Document) """ pass def Serialize(self, *args): """ Serialize(self: GH_ArchivedUndoAction,obj: GH_ISerializable) """ pass def SerializeToByteArray(self, *args): """ SerializeToByteArray(self: GH_ArchivedUndoAction,obj: GH_ISerializable) -> Array[Byte] """ pass def __init__(self, *args): """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod def __new__(self, obj): """ __new__(cls: type,obj: IGH_DocumentObject) """ pass ExpiresSolution = property( lambda self: object(), lambda self, v: None, lambda self: None ) """Get: ExpiresSolution(self: GH_GenericObjectAction) -> bool """ m_data = None class GH_HiddenAction(GH_ObjectUndoAction, IGH_UndoAction, GH_ISerializable): """ GH_HiddenAction(obj: IGH_ActiveObject) """ def Internal_Redo(self, *args): """ Internal_Redo(self: GH_ObjectUndoAction,doc: GH_Document) """ pass def Internal_Undo(self, *args): """ Internal_Undo(self: GH_ObjectUndoAction,doc: GH_Document) """ pass def Object_Redo(self, *args): """ Object_Redo(self: GH_HiddenAction,doc: GH_Document,obj: IGH_DocumentObject) """ pass def Object_Undo(self, *args): """ Object_Undo(self: GH_HiddenAction,doc: GH_Document,obj: IGH_DocumentObject) """ pass def __init__(self, *args): """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod def __new__(self, obj): """ __new__(cls: type,obj: IGH_ActiveObject) """ pass ExpiresDisplay = property( lambda self: object(), lambda self, v: None, lambda self: None ) """Get: ExpiresDisplay(self: GH_HiddenAction) -> bool """ class GH_IconDisplayAction(GH_ObjectUndoAction, IGH_UndoAction, GH_ISerializable): """ GH_IconDisplayAction(obj: IGH_DocumentObject) """ def Internal_Redo(self, *args): """ Internal_Redo(self: GH_ObjectUndoAction,doc: GH_Document) """ pass def Internal_Undo(self, *args): """ Internal_Undo(self: GH_ObjectUndoAction,doc: GH_Document) """ pass def Object_Redo(self, *args): """ Object_Redo(self: GH_IconDisplayAction,doc: GH_Document,obj: IGH_DocumentObject) """ pass def Object_Undo(self, *args): """ Object_Undo(self: GH_IconDisplayAction,doc: GH_Document,obj: IGH_DocumentObject) """ pass def __init__(self, *args): """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod def __new__(self, obj): """ __new__(cls: type,obj: IGH_DocumentObject) """ pass class GH_IconOverrideAction(GH_ObjectUndoAction, IGH_UndoAction, GH_ISerializable): """ GH_IconOverrideAction(obj: IGH_DocumentObject) """ def Internal_Redo(self, *args): """ Internal_Redo(self: GH_ObjectUndoAction,doc: GH_Document) """ pass def Internal_Undo(self, *args): """ Internal_Undo(self: GH_ObjectUndoAction,doc: GH_Document) """ pass def Object_Redo(self, *args): """ Object_Redo(self: GH_IconOverrideAction,doc: GH_Document,obj: IGH_DocumentObject) """ pass def Object_Undo(self, *args): """ Object_Undo(self: GH_IconOverrideAction,doc: GH_Document,obj: IGH_DocumentObject) """ pass def __init__(self, *args): """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod def __new__(self, obj): """ __new__(cls: type,obj: IGH_DocumentObject) """ pass class GH_LayoutAction(GH_ObjectUndoAction, IGH_UndoAction, GH_ISerializable): """ GH_LayoutAction(obj: IGH_DocumentObject) """ def Internal_Redo(self, *args): """ Internal_Redo(self: GH_ObjectUndoAction,doc: GH_Document) """ pass def Internal_Undo(self, *args): """ Internal_Undo(self: GH_ObjectUndoAction,doc: GH_Document) """ pass def Object_Redo(self, *args): """ Object_Redo(self: GH_LayoutAction,doc: GH_Document,obj: IGH_DocumentObject) """ pass def Object_Undo(self, *args): """ Object_Undo(self: GH_LayoutAction,doc: GH_Document,obj: IGH_DocumentObject) """ pass def __init__(self, *args): """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod def __new__(self, obj): """ __new__(cls: type,obj: IGH_DocumentObject) """ pass class GH_LockedAction(GH_ObjectUndoAction, IGH_UndoAction, GH_ISerializable): """ GH_LockedAction(obj: IGH_ActiveObject) """ def Internal_Redo(self, *args): """ Internal_Redo(self: GH_ObjectUndoAction,doc: GH_Document) """ pass def Internal_Undo(self, *args): """ Internal_Undo(self: GH_ObjectUndoAction,doc: GH_Document) """ pass def Object_Redo(self, *args): """ Object_Redo(self: GH_LockedAction,doc: GH_Document,obj: IGH_DocumentObject) """ pass def Object_Undo(self, *args): """ Object_Undo(self: GH_LockedAction,doc: GH_Document,obj: IGH_DocumentObject) """ pass def __init__(self, *args): """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod def __new__(self, obj): """ __new__(cls: type,obj: IGH_ActiveObject) """ pass ExpiresSolution = property( lambda self: object(), lambda self, v: None, lambda self: None ) """Get: ExpiresSolution(self: GH_LockedAction) -> bool """ class GH_NickNameAction(GH_ObjectUndoAction, IGH_UndoAction, GH_ISerializable): """ GH_NickNameAction(obj: IGH_DocumentObject) """ def Internal_Redo(self, *args): """ Internal_Redo(self: GH_ObjectUndoAction,doc: GH_Document) """ pass def Internal_Undo(self, *args): """ Internal_Undo(self: GH_ObjectUndoAction,doc: GH_Document) """ pass def Object_Redo(self, *args): """ Object_Redo(self: GH_NickNameAction,doc: GH_Document,obj: IGH_DocumentObject) """ pass def Object_Undo(self, *args): """ Object_Undo(self: GH_NickNameAction,doc: GH_Document,obj: IGH_DocumentObject) """ pass def __init__(self, *args): """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod def __new__(self, obj): """ __new__(cls: type,obj: IGH_DocumentObject) """ pass class GH_PersistentDataAction(GH_ObjectUndoAction, IGH_UndoAction, GH_ISerializable): """ GH_PersistentDataAction[T](obj: GH_PersistentParam[T]) """ def Internal_Redo(self, *args): """ Internal_Redo(self: GH_ObjectUndoAction,doc: GH_Document) """ pass def Internal_Undo(self, *args): """ Internal_Undo(self: GH_ObjectUndoAction,doc: GH_Document) """ pass def Object_Redo(self, *args): """ Object_Redo(self: GH_PersistentDataAction[T],doc: GH_Document,obj: IGH_DocumentObject) """ pass def Object_Undo(self, *args): """ Object_Undo(self: GH_PersistentDataAction[T],doc: GH_Document,obj: IGH_DocumentObject) """ pass def __init__(self, *args): """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod def __new__(self, obj): """ __new__(cls: type,obj: GH_PersistentParam[T]) """ pass ExpiresSolution = property( lambda self: object(), lambda self, v: None, lambda self: None ) """Get: ExpiresSolution(self: GH_PersistentDataAction[T]) -> bool """ class GH_PivotAction(GH_ObjectUndoAction, IGH_UndoAction, GH_ISerializable): """ GH_PivotAction(obj: IGH_DocumentObject) """ def Internal_Redo(self, *args): """ Internal_Redo(self: GH_ObjectUndoAction,doc: GH_Document) """ pass def Internal_Undo(self, *args): """ Internal_Undo(self: GH_ObjectUndoAction,doc: GH_Document) """ pass def Object_Redo(self, *args): """ Object_Redo(self: GH_PivotAction,doc: GH_Document,obj: IGH_DocumentObject) """ pass def Object_Undo(self, *args): """ Object_Undo(self: GH_PivotAction,doc: GH_Document,obj: IGH_DocumentObject) """ pass def __init__(self, *args): """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod def __new__(self, obj): """ __new__(cls: type,obj: IGH_DocumentObject) """ pass class GH_RemoveObjectAction(GH_ArchivedUndoAction, IGH_UndoAction, GH_ISerializable): """ GH_RemoveObjectAction(obj: IGH_DocumentObject) """ def Deserialize(self, *args): """ Deserialize(self: GH_ArchivedUndoAction,obj: GH_ISerializable) """ pass def Internal_Redo(self, *args): """ Internal_Redo(self: GH_RemoveObjectAction,doc: GH_Document) """ pass def Internal_Undo(self, *args): """ Internal_Undo(self: GH_RemoveObjectAction,doc: GH_Document) """ pass def Serialize(self, *args): """ Serialize(self: GH_ArchivedUndoAction,obj: GH_ISerializable) """ pass def SerializeToByteArray(self, *args): """ SerializeToByteArray(self: GH_ArchivedUndoAction,obj: GH_ISerializable) -> Array[Byte] """ pass def __init__(self, *args): """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod def __new__(self, obj): """ __new__(cls: type,obj: IGH_DocumentObject) """ pass ExpiresSolution = property( lambda self: object(), lambda self, v: None, lambda self: None ) """Get: ExpiresSolution(self: GH_RemoveObjectAction) -> bool """ m_data = None class GH_RemoveStateAction(GH_ArchivedUndoAction, IGH_UndoAction, GH_ISerializable): """ GH_RemoveStateAction(index: int,state: GH_State) """ def Deserialize(self, *args): """ Deserialize(self: GH_ArchivedUndoAction,obj: GH_ISerializable) """ pass def Internal_Redo(self, *args): """ Internal_Redo(self: GH_RemoveStateAction,doc: GH_Document) """ pass def Internal_Undo(self, *args): """ Internal_Undo(self: GH_RemoveStateAction,doc: GH_Document) """ pass def Read(self, reader): """ Read(self: GH_RemoveStateAction,reader: GH_IReader) -> bool """ pass def Serialize(self, *args): """ Serialize(self: GH_ArchivedUndoAction,obj: GH_ISerializable) """ pass def SerializeToByteArray(self, *args): """ SerializeToByteArray(self: GH_ArchivedUndoAction,obj: GH_ISerializable) -> Array[Byte] """ pass def Write(self, writer): """ Write(self: GH_RemoveStateAction,writer: GH_IWriter) -> bool """ pass def __init__(self, *args): """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod def __new__(self, index, state): """ __new__(cls: type,index: int,state: GH_State) """ pass m_data = None class GH_WireAction(GH_UndoAction, IGH_UndoAction, GH_ISerializable): """ GH_WireAction(param: IGH_Param) """ def Internal_Redo(self, *args): """ Internal_Redo(self: GH_WireAction,doc: GH_Document) """ pass def Internal_Undo(self, *args): """ Internal_Undo(self: GH_WireAction,doc: GH_Document) """ pass def __init__(self, *args): """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod def __new__(self, param): """ __new__(cls: type,param: IGH_Param) """ pass ExpiresSolution = property( lambda self: object(), lambda self, v: None, lambda self: None ) """Get: ExpiresSolution(self: GH_WireAction) -> bool """ class GH_WireDisplayAction(GH_ObjectUndoAction, IGH_UndoAction, GH_ISerializable): """ GH_WireDisplayAction(obj: IGH_Param) """ def Internal_Redo(self, *args): """ Internal_Redo(self: GH_ObjectUndoAction,doc: GH_Document) """ pass def Internal_Undo(self, *args): """ Internal_Undo(self: GH_ObjectUndoAction,doc: GH_Document) """ pass def Object_Redo(self, *args): """ Object_Redo(self: GH_WireDisplayAction,doc: GH_Document,obj: IGH_DocumentObject) """ pass def Object_Undo(self, *args): """ Object_Undo(self: GH_WireDisplayAction,doc: GH_Document,obj: IGH_DocumentObject) """ pass def __init__(self, *args): """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass @staticmethod def __new__(self, obj): """ __new__(cls: type,obj: IGH_Param) """ pass

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py

Python

test/test_process_samples.py

eclarke/kraken-biom

9a8c870d27076524a9c710a461b6ed47ae746f06

[ "MIT" ]

36

2016-07-21T20:05:28.000Z

2022-02-15T06:31:12.000Z

test/test_process_samples.py

eclarke/kraken-biom

9a8c870d27076524a9c710a461b6ed47ae746f06

[ "MIT" ]

18

2017-04-15T14:28:24.000Z

2022-03-10T21:19:20.000Z

test/test_process_samples.py

eclarke/kraken-biom

9a8c870d27076524a9c710a461b6ed47ae746f06

[ "MIT" ]

20

2016-10-27T07:59:16.000Z

2022-03-16T13:11:22.000Z

#!/usr/bin/env python # coding: utf-8 import os, os.path as osp import tempfile from textwrap import dedent as twdd import unittest import kraken_biom as kb from test.test_parsing import prep_kraken_input class kraken_biom_Test(unittest.TestCase): def setUp(self): self.krepA = twdd(u"""\ 100.00 6783846 6783846 U 0 unclassified 0.00 130 18 - 1 root 0.00 105 0 - 131567 cellular organisms 0.00 105 0 D 2 Bacteria 0.00 62 30 P 1239 Firmicutes 0.00 29 0 C 91061 Bacilli 0.00 29 0 O 186826 Lactobacillales 0.00 20 0 F 1300 Streptococcaceae 0.00 20 8 G 1301 Streptococcus 0.00 5 4 S 1304 Streptococcus salivarius 0.00 1 1 - 1048332 Streptococcus salivarius CCHSS3 0.00 3 0 S 1303 Streptococcus oralis 0.00 3 3 - 927666 Streptococcus oralis Uo5 0.00 2 2 S 1318 Streptococcus parasanguinis 0.00 1 0 S 1305 Streptococcus sanguinis 0.00 1 1 - 388919 Streptococcus sanguinis SK36 0.00 1 1 S 1308 Streptococcus thermophilus 0.00 9 0 F 81852 Enterococcaceae 0.00 9 0 G 1350 Enterococcus 0.00 9 0 S 37734 Enterococcus casseliflavus 0.00 9 9 - 565655 Enterococcus casseliflavus EC20 0.00 1 0 C 186801 Clostridia 0.00 1 1 O 186802 Clostridiales 0.00 40 0 P 1224 Proteobacteria 0.00 20 2 C 1236 Gammaproteobacteria 0.00 11 1 O 135622 Alteromonadales 0.00 10 0 F 72275 Alteromonadaceae 0.00 10 0 G 226 Alteromonas 0.00 10 0 S 28108 Alteromonas macleodii 0.00 10 10 - 1300257 Alteromonas macleodii str. 'Ionian Sea U8' 0.00 7 0 O 91347 Enterobacteriales 0.00 7 6 F 543 Enterobacteriaceae 0.00 1 0 G 561 Escherichia 0.00 1 1 S 562 Escherichia coli 0.00 20 5 C 28216 Betaproteobacteria 0.00 15 0 O 80840 Burkholderiales 0.00 11 0 F 119060 Burkholderiaceae 0.00 11 0 G 48736 Ralstonia 0.00 11 10 S 329 Ralstonia pickettii 0.00 1 1 - 428406 Ralstonia pickettii 12D 0.00 4 0 F 80864 Comamonadaceae 0.00 2 2 G 12916 Acidovorax 0.00 2 0 G 201096 Alicycliphilus 0.00 2 0 S 179636 Alicycliphilus denitrificans 0.00 2 2 - 596154 Alicycliphilus denitrificans K601 0.00 3 0 P 201174 Actinobacteria 0.00 3 0 C 1760 Actinobacteria 0.00 2 0 - 84998 Coriobacteridae 0.00 2 0 O 84999 Coriobacteriales 0.00 2 0 - 255727 Coriobacterineae 0.00 2 0 F 84107 Coriobacteriaceae 0.00 2 0 G 1380 Atopobium 0.00 2 0 S 1382 Atopobium parvulum 0.00 2 2 - 521095 Atopobium parvulum DSM 20469 0.00 1 0 - 85003 Actinobacteridae 0.00 1 0 O 2037 Actinomycetales 0.00 1 0 - 85009 Propionibacterineae 0.00 1 0 F 31957 Propionibacteriaceae 0.00 1 0 G 1743 Propionibacterium 0.00 1 1 S 1747 Propionibacterium acnes 0.00 20 0 D 2157 Archaea 0.00 20 7 P 28890 Euryarchaeota 0.00 8 0 C 183963 Halobacteria 0.00 8 0 O 1644060 Natrialbales 0.00 8 0 F 1644061 Natrialbaceae 0.00 8 0 G 29287 Natronococcus 0.00 8 0 S 29288 Natronococcus occultus 0.00 8 8 - 694430 Natronococcus occultus SP4 0.00 4 0 C 224756 Methanomicrobia 0.00 4 0 O 94695 Methanosarcinales 0.00 4 0 F 2206 Methanosarcinaceae 0.00 3 0 G 101191 Methanomethylovorans 0.00 3 0 S 101192 Methanomethylovorans hollandica 0.00 3 3 - 867904 Methanomethylovorans hollandica DSM 15978 0.00 1 0 G 2207 Methanosarcina 0.00 1 0 S 2214 Methanosarcina acetivorans 0.00 1 1 - 188937 Methanosarcina acetivorans C2A 0.00 1 0 C 183939 Methanococci 0.00 1 0 O 2182 Methanococcales 0.00 1 0 F 2183 Methanococcaceae 0.00 1 0 G 2184 Methanococcus 0.00 1 0 S 2188 Methanococcus voltae 0.00 1 1 - 456320 Methanococcus voltae A3 0.00 7 0 D 10239 Viruses 0.00 2 0 - 29258 ssDNA viruses 0.00 2 0 F 10841 Microviridae 0.00 2 0 G 10842 Microvirus 0.00 2 2 S 374840 Enterobacteria phage phiX174 sensu lato 0.00 2 0 - 35237 dsDNA viruses, no RNA stage 0.00 2 0 F 10482 Polydnaviridae 0.00 2 0 G 10483 Ichnovirus 0.00 2 2 S 265522 Hyposoter fugitivus ichnovirus 0.00 2 0 - 439488 ssRNA viruses 0.00 2 0 - 35278 ssRNA positive-strand viruses, no DNA stage 0.00 2 0 F 11018 Togaviridae 0.00 2 0 G 11019 Alphavirus 0.00 2 0 - 177872 VEEV complex 0.00 2 2 S 11036 Venezuelan equine encephalitis virus 0.00 1 0 - 35268 Retro-transcribing viruses 0.00 1 0 F 11632 Retroviridae 0.00 1 0 - 35276 unclassified Retroviridae 0.00 1 0 - 206037 Human endogenous retroviruses 0.00 1 0 S 45617 Human endogenous retrovirus K 0.00 1 1 - 166122 Human endogenous retrovirus K113 """).encode("utf-8") self.krepB = twdd(u"""\ 100.00 6783846 6783846 U 0 unclassified 0.00 130 18 - 1 root 0.00 105 0 - 131567 cellular organisms 0.00 105 0 D 2 Bacteria 0.00 62 30 P 1239 Firmicutes 0.00 29 0 C 91061 Bacilli 0.00 29 0 O 186826 Lactobacillales 0.00 20 0 F 1300 Streptococcaceae 0.00 20 8 G 1301 Streptococcus 0.00 5 4 S 1304 Streptococcus salivarius 0.00 1 1 - 1048332 Streptococcus salivarius CCHSS3 0.00 3 0 S 1303 Streptococcus oralis 0.00 3 3 - 927666 Streptococcus oralis Uo5 0.00 2 2 S 1318 Streptococcus parasanguinis 0.00 1 0 S 1305 Streptococcus sanguinis 0.00 1 1 - 388919 Streptococcus sanguinis SK36 0.00 1 1 S 1308 Streptococcus thermophilus 0.00 9 0 F 81852 Enterococcaceae 0.00 9 0 G 1350 Enterococcus 0.00 9 0 S 37734 Enterococcus casseliflavus 0.00 9 9 - 565655 Enterococcus casseliflavus EC20 0.00 1 0 C 186801 Clostridia 0.00 1 1 O 186802 Clostridiales 0.00 40 0 P 1224 Proteobacteria 0.00 20 2 C 1236 Gammaproteobacteria 0.00 11 1 O 135622 Alteromonadales 0.00 10 0 F 72275 Alteromonadaceae 0.00 10 0 G 226 Alteromonas 0.00 10 0 S 28108 Alteromonas macleodii 0.00 10 10 - 1300257 Alteromonas macleodii str. 'Ionian Sea U8' 0.00 7 0 O 91347 Enterobacteriales 0.00 7 6 F 543 Enterobacteriaceae 0.00 1 0 G 561 Escherichia 0.00 1 1 S 562 Escherichia coli 0.00 20 5 C 28216 Betaproteobacteria 0.00 15 0 O 80840 Burkholderiales 0.00 11 0 F 119060 Burkholderiaceae 0.00 11 0 G 48736 Ralstonia 0.00 11 10 S 329 Ralstonia pickettii 0.00 1 1 - 428406 Ralstonia pickettii 12D 0.00 4 0 F 80864 Comamonadaceae 0.00 2 2 G 12916 Acidovorax 0.00 2 0 G 201096 Alicycliphilus 0.00 2 0 S 179636 Alicycliphilus denitrificans 0.00 2 2 - 596154 Alicycliphilus denitrificans K601 0.00 3 0 P 201174 Actinobacteria 0.00 3 0 C 1760 Actinobacteria 0.00 2 0 - 84998 Coriobacteridae 0.00 2 0 O 84999 Coriobacteriales 0.00 2 0 - 255727 Coriobacterineae 0.00 2 0 F 84107 Coriobacteriaceae 0.00 2 0 G 1380 Atopobium 0.00 2 0 S 1382 Atopobium parvulum 0.00 2 2 - 521095 Atopobium parvulum DSM 20469 0.00 1 0 - 85003 Actinobacteridae 0.00 1 0 O 2037 Actinomycetales 0.00 1 0 - 85009 Propionibacterineae 0.00 1 0 F 31957 Propionibacteriaceae 0.00 1 0 G 1743 Propionibacterium 0.00 1 1 S 1747 Propionibacterium acnes 0.00 20 0 D 2157 Archaea 0.00 20 7 P 28890 Euryarchaeota 0.00 8 0 C 183963 Halobacteria 0.00 8 0 O 1644060 Natrialbales 0.00 8 0 F 1644061 Natrialbaceae 0.00 8 0 G 29287 Natronococcus 0.00 8 0 S 29288 Natronococcus occultus 0.00 8 8 - 694430 Natronococcus occultus SP4 0.00 4 0 C 224756 Methanomicrobia 0.00 4 0 O 94695 Methanosarcinales 0.00 4 0 F 2206 Methanosarcinaceae 0.00 3 0 G 101191 Methanomethylovorans 0.00 3 0 S 101192 Methanomethylovorans hollandica 0.00 3 3 - 867904 Methanomethylovorans hollandica DSM 15978 0.00 1 0 G 2207 Methanosarcina 0.00 1 0 S 2214 Methanosarcina acetivorans 0.00 1 1 - 188937 Methanosarcina acetivorans C2A 0.00 1 0 C 183939 Methanococci 0.00 1 0 O 2182 Methanococcales 0.00 1 0 F 2183 Methanococcaceae 0.00 1 0 G 2184 Methanococcus 0.00 1 0 S 2188 Methanococcus voltae 0.00 1 1 - 456320 Methanococcus voltae A3 0.00 7 0 D 10239 Viruses 0.00 2 0 - 29258 ssDNA viruses 0.00 2 0 F 10841 Microviridae 0.00 2 0 G 10842 Microvirus 0.00 2 2 S 374840 Enterobacteria phage phiX174 sensu lato 0.00 2 0 - 35237 dsDNA viruses, no RNA stage 0.00 2 0 F 10482 Polydnaviridae 0.00 2 0 G 10483 Ichnovirus 0.00 2 2 S 265522 Hyposoter fugitivus ichnovirus 0.00 2 0 - 439488 ssRNA viruses 0.00 2 0 - 35278 ssRNA positive-strand viruses, no DNA stage 0.00 2 0 F 11018 Togaviridae 0.00 2 0 G 11019 Alphavirus 0.00 2 0 - 177872 VEEV complex 0.00 2 2 S 11036 Venezuelan equine encephalitis virus """).encode("utf-8") # create temp files containing the above kraken results tempf_krepA = tempfile.NamedTemporaryFile() tempf_krepA.write(self.krepA) tempf_krepB = tempfile.NamedTemporaryFile() tempf_krepB.write(self.krepB) self.fps = [tempf_krepA.name, tempf_krepB.name] self.fnames = [osp.split(fp)[1] for fp in self.fps] self.sample_counts, self.taxa = kb.process_samples(self.fps, max_rank="O", min_rank="S") def test_sample_ids(self): proc_snames = set(self.sample_counts) self.assertEqual(proc_snames.symmetric_difference(self.fnames), set()) def test_sample_counts(self): countsA = {'265522': 2, '1382': 2, '11036': 2, '37734': 9, '1747': 1, '374840': 2, '543': 6, '562': 1, '179636': 2, '28108': 10, '12916': 2, '1303': 3, '1308': 1, '135622': 1, '1318': 2, '2188': 1, '2214': 1, '29288': 8, '329': 11, '1301': 8, '101192': 3, '45617': 1, '1305': 1, '1304': 5, '186802': 1} countsB = {'265522': 2, '1382': 2, '11036': 2, '37734': 9, '1747': 1, '374840': 2, '543': 6, '562': 1, '179636': 2, '28108': 10, '12916': 2, '1303': 3, '1308': 1, '135622': 1, '1318': 2, '2188': 1, '2214': 1, '29288': 8, '329': 11, '1301': 8, '101192': 3, '1305': 1, '1304': 5, '186802': 1} proc_countsA = self.sample_counts[self.fnames[0]] proc_countsB = self.sample_counts[self.fnames[1]] self.assertTrue(all([countsA[otu_id] == proc_countsA[otu_id] for otu_id in countsA])) self.assertTrue(all([countsA[otu_id] == proc_countsA[otu_id] for otu_id in proc_countsA])) self.assertTrue(all([countsB[otu_id] == proc_countsB[otu_id] for otu_id in countsB])) self.assertTrue(all([countsB[otu_id] == proc_countsB[otu_id] for otu_id in proc_countsB])) def test_taxa(self): manual = {"1304": ["k__Bacteria", "p__Firmicutes", "c__Bacilli", "o__Lactobacillales", "f__Streptococcaceae", "g__Streptococcus", "s__salivarius"], "29288": ["k__Archaea", "p__Euryarchaeota", "c__Halobacteria", "o__Natrialbales", "f__Natrialbaceae", "g__Natronococcus", "s__occultus"], "45617": ["k__Viruses", "p__", "c__", "o__", "f__Retroviridae", "g__", "s__Human endogenous retrovirus K"], "1301": ["k__Bacteria", "p__Firmicutes", "c__Bacilli", "o__Lactobacillales", "f__Streptococcaceae", "g__Streptococcus", "s__"], "135622":["k__Bacteria", "p__Proteobacteria", "c__Gammaproteobacteria", "o__Alteromonadales", "f__", "g__", "s__"], "543": ["k__Bacteria", "p__Proteobacteria", "c__Gammaproteobacteria", "o__Enterobacteriales", "f__Enterobacteriaceae", "g__", "s__"], "265522":["k__Viruses", "p__", "c__", "o__", "f__Polydnaviridae", "g__Ichnovirus", "s__Hyposoter fugitivus ichnovirus"], "374840":["k__Viruses", "p__", "c__", "o__", "f__Microviridae", "g__Microvirus", "s__Enterobacteria phage phiX174 sensu lato"] } self.assertTrue(all([manual[tax_id] == self.taxa[tax_id] for tax_id in manual])) def tearDown(self): pass if __name__ == '__main__': unittest.main()

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0

1

0

null

0

9

65bd14cd681609d5fcd0f5fa0130ec4157a8044c

1,641

py

Python

urizen/generators/buildings/__init__.py

vurmux/urizen

28b1e60cf8fa2f15622537f6df0290e2ac890d5f

[ "Apache-2.0" ]

107

2020-01-08T21:27:59.000Z

2022-03-19T07:59:23.000Z

urizen/generators/buildings/__init__.py

hanok2/urizen

28b1e60cf8fa2f15622537f6df0290e2ac890d5f

[ "Apache-2.0" ]

1

2020-05-22T17:54:12.000Z

2021-06-27T01:02:39.000Z

urizen/generators/buildings/__init__.py

hanok2/urizen

28b1e60cf8fa2f15622537f6df0290e2ac890d5f

[ "Apache-2.0" ]

7

2020-01-08T21:12:11.000Z

2022-03-19T07:59:27.000Z

import urizen.generators.buildings.building_housebarn from urizen.generators.buildings.building_housebarn import building_housebarn import urizen.generators.buildings.building_hunter_robber_house from urizen.generators.buildings.building_hunter_robber_house import building_hunter_robber_house import urizen.generators.buildings.building_prison from urizen.generators.buildings.building_prison import building_prison import urizen.generators.buildings.building_stables from urizen.generators.buildings.building_stables import building_stables import urizen.generators.buildings.building_bank from urizen.generators.buildings.building_bank import building_bank import urizen.generators.buildings.building_shop from urizen.generators.buildings.building_shop import building_shop import urizen.generators.buildings.building_ruined_house from urizen.generators.buildings.building_ruined_house import building_ruined_house import urizen.generators.buildings.building_inn from urizen.generators.buildings.building_inn import building_inn, building_roadhouse import urizen.generators.buildings.building_house_medieval from urizen.generators.buildings.building_house_medieval import building_house_tworoom import urizen.generators.buildings.building_mansion_symmetric from urizen.generators.buildings.building_mansion_symmetric import building_mansion_symmetric import urizen.generators.buildings.building_kitchengarden from urizen.generators.buildings.building_kitchengarden import building_kitchengarden import urizen.generators.buildings.building_bathhouse from urizen.generators.buildings.building_bathhouse import building_bathhouse

45.583333

97

0.904327

197

1,641

7.269036

0.116751

0.268156

0.418994

0.553073

0.818436

0.331006

0.069832

0

0.051188

1,641

35

98

46.885714

0.919717

0

1

0

true

0

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1

0

null

0

1

0

1

0

1

0

7

65df434dac4463b14306db1c0c5868a0b10dd420

723

py

Python

scripts/run.py

Lornatang/DRRN-PyTorch

d29b184da875bd9ba18ef0ebee6c868a7741fb7b

[ "Apache-2.0" ]

2

2022-01-04T02:04:59.000Z

2022-03-03T08:51:45.000Z

scripts/run.py

Lornatang/DRRN-PyTorch

d29b184da875bd9ba18ef0ebee6c868a7741fb7b

[ "Apache-2.0" ]

null

scripts/run.py

Lornatang/DRRN-PyTorch

d29b184da875bd9ba18ef0ebee6c868a7741fb7b

[ "Apache-2.0" ]

null

import os # Prepare dataset os.system("python ./prepare_dataset.py --images_dir ../data/TB291/original --output_dir ../data/TB291/DRRN/train --image_size 32 --step 21 --scale 2 --num_workers 10") os.system("python ./prepare_dataset.py --images_dir ../data/TB291/original --output_dir ../data/TB291/DRRN/train --image_size 33 --step 21 --scale 3 --num_workers 10") os.system("python ./prepare_dataset.py --images_dir ../data/TB291/original --output_dir ../data/TB291/DRRN/train --image_size 32 --step 21 --scale 4 --num_workers 10") # Split train and valid os.system("python ./split_train_valid_dataset.py --train_images_dir ../data/TB291/DRRN/train --valid_images_dir ../data/TB291/DRRN/valid --valid_samples_ratio 0.1")

72.3

167

0.745505

116

723

4.439655

0.301724

0.108738

0.186408

0.174757

0.728155

0.63301

0

0.071104

0.085754

723

9

168

80.333333

0.708018

0.051176

0

0.8

0.897511

0.346999

0

1

0

true

0

0.2

0

0.2

0

null

0

1

0

1

0

1

0

1

0

null

0

1

0

7

02bdc1c906fba4360a7c1aa0a0a64ca948b65c74

15,637

py

Python

tests/integration/test_dg_commit.py

jpopelka/packit-service

5802fa78200daf9cd479d820c3cc003c530b9af7

[ "MIT" ]

null

tests/integration/test_dg_commit.py

jpopelka/packit-service

5802fa78200daf9cd479d820c3cc003c530b9af7

[ "MIT" ]

null

tests/integration/test_dg_commit.py

jpopelka/packit-service

5802fa78200daf9cd479d820c3cc003c530b9af7

[ "MIT" ]

null

# Copyright Contributors to the Packit project. # SPDX-License-Identifier: MIT import json import pytest from celery.canvas import Signature from flexmock import flexmock from ogr.services.pagure import PagureProject from packit.api import PackitAPI from packit.config import JobConfigTriggerType from packit.constants import CONFIG_FILE_NAMES from packit.local_project import LocalProject from packit.utils.repo import RepositoryCache from packit_service.config import PackageConfigGetter, ProjectToSync, ServiceConfig from packit_service.constants import SANDCASTLE_WORK_DIR from packit_service.models import GitBranchModel from packit_service.worker.jobs import SteveJobs from packit_service.worker.monitoring import Pushgateway from packit_service.worker.tasks import ( run_downstream_koji_build, run_sync_from_downstream_handler, ) from tests.spellbook import DATA_DIR, first_dict_value, get_parameters_from_results def distgit_commit_event(): return json.loads((DATA_DIR / "fedmsg" / "distgit_commit.json").read_text()) def test_sync_from_downstream(): packit_yaml = ( "{'specfile_path': 'buildah.spec', 'synced_files': []," "'jobs': [{'trigger': 'commit', 'job': 'sync_from_downstream'}]," "'downstream_package_name': 'buildah'}" ) pagure_project = flexmock( PagureProject, full_repo_name="rpms/buildah", default_branch="main", ) pagure_project.should_receive("get_files").with_args( ref="abcd", filter_regex=r".+\.spec$" ).and_return(["buildah.spec"]) pagure_project.should_receive("get_file_content").with_args( path=".distro/source-git.yaml", ref="abcd" ).and_raise(FileNotFoundError, "Not found.") pagure_project.should_receive("get_file_content").with_args( path=".packit.yaml", ref="abcd" ).and_return(packit_yaml) flexmock(GitBranchModel).should_receive("get_or_create").with_args( branch_name="main", namespace="rpms", repo_name="buildah", project_url="https://src.fedoraproject.org/rpms/buildah", ).and_return(flexmock(id=9, job_config_trigger_type=JobConfigTriggerType.commit)) flexmock(ServiceConfig).should_receive("get_service_config").and_return( ServiceConfig( projects_to_sync=[ ProjectToSync( forge="https://github.com", repo_namespace="example-namespace", repo_name="buildah", branch="aaa", dg_branch="main", dg_repo_name="buildah", ) ], command_handler_work_dir=SANDCASTLE_WORK_DIR, repository_cache="/tmp/repository-cache", add_repositories_to_repository_cache=False, ) ) flexmock(LocalProject, refresh_the_arguments=lambda: None) flexmock(RepositoryCache).should_call("__init__").once() flexmock(Signature).should_receive("apply_async").once() flexmock(Pushgateway).should_receive("push").once().and_return() flexmock(PackitAPI).should_receive("sync_from_downstream").with_args( dist_git_branch="main", upstream_branch="aaa", sync_only_specfile=True ) processing_results = SteveJobs().process_message(distgit_commit_event()) event_dict, job, job_config, package_config = get_parameters_from_results( processing_results ) assert json.dumps(event_dict) results = run_sync_from_downstream_handler( package_config=package_config, event=event_dict, job_config=job_config, ) assert first_dict_value(results["job"])["success"] def test_do_not_sync_from_downstream_on_a_different_branch(): packit_yaml = ( "{'specfile_path': 'buildah.spec', 'synced_files': []," "'jobs': [{'trigger': 'commit', 'job': 'sync_from_downstream'}]," "'downstream_package_name': 'buildah'}" ) pagure_project = flexmock( PagureProject, full_repo_name="rpms/buildah", default_branch="main", ) pagure_project.should_receive("get_files").with_args( ref="abcd", filter_regex=r".+\.spec$" ).and_return(["buildah.spec"]) pagure_project.should_receive("get_file_content").with_args( path=".distro/source-git.yaml", ref="abcd" ).and_raise(FileNotFoundError, "Not found.") pagure_project.should_receive("get_file_content").with_args( path=".packit.yaml", ref="abcd" ).and_return(packit_yaml) flexmock(GitBranchModel).should_receive("get_or_create").with_args( branch_name="main", namespace="rpms", repo_name="buildah", project_url="https://src.fedoraproject.org/rpms/buildah", ).and_return(flexmock(id=9, job_config_trigger_type=JobConfigTriggerType.commit)) flexmock(ServiceConfig).should_receive("get_service_config").and_return( ServiceConfig( projects_to_sync=[ ProjectToSync( forge="https://github.com", repo_namespace="example-namespace", repo_name="buildah", branch="aaa", dg_branch="different_branch", dg_repo_name="buildah", ) ], command_handler_work_dir=SANDCASTLE_WORK_DIR, repository_cache="/tmp/repository-cache", add_repositories_to_repository_cache=False, ) ) flexmock(PackitAPI).should_receive("sync_from_downstream").times(0) processing_results = SteveJobs().process_message(distgit_commit_event()) assert not processing_results def test_downstream_koji_build(): packit_yaml = ( "{'specfile_path': 'buildah.spec', 'synced_files': []," "'jobs': [{'trigger': 'commit', 'job': 'koji_build'}]," "'downstream_package_name': 'buildah'}" ) pagure_project = flexmock( PagureProject, full_repo_name="rpms/buildah", get_web_url=lambda: "https://src.fedoraproject.org/rpms/buildah", default_branch="main", ) pagure_project.should_receive("get_files").with_args( ref="abcd", filter_regex=r".+\.spec$" ).and_return(["buildah.spec"]) pagure_project.should_receive("get_file_content").with_args( path=".distro/source-git.yaml", ref="abcd" ).and_raise(FileNotFoundError, "Not found.") pagure_project.should_receive("get_file_content").with_args( path=".packit.yaml", ref="abcd" ).and_return(packit_yaml) flexmock(GitBranchModel).should_receive("get_or_create").with_args( branch_name="main", namespace="rpms", repo_name="buildah", project_url="https://src.fedoraproject.org/rpms/buildah", ).and_return(flexmock(id=9, job_config_trigger_type=JobConfigTriggerType.commit)) flexmock(ServiceConfig).should_receive("get_service_config").and_return( ServiceConfig( command_handler_work_dir=SANDCASTLE_WORK_DIR, repository_cache="/tmp/repository-cache", add_repositories_to_repository_cache=False, ) ) flexmock(LocalProject, refresh_the_arguments=lambda: None) flexmock(RepositoryCache).should_call("__init__").once() flexmock(Signature).should_receive("apply_async").once() flexmock(Pushgateway).should_receive("push").once().and_return() flexmock(PackitAPI).should_receive("build").with_args( dist_git_branch="main", scratch=False, nowait=True, from_upstream=False, ) processing_results = SteveJobs().process_message(distgit_commit_event()) event_dict, job, job_config, package_config = get_parameters_from_results( processing_results ) assert json.dumps(event_dict) results = run_downstream_koji_build( package_config=package_config, event=event_dict, job_config=job_config, ) assert first_dict_value(results["job"])["success"] def test_downstream_koji_build_no_config(): pagure_project = flexmock( PagureProject, full_repo_name="rpms/buildah", get_web_url=lambda: "https://src.fedoraproject.org/rpms/buildah", default_branch="main", ) pagure_project.should_receive("get_files").with_args( ref="abcd", filter_regex=r".+\.spec$" ).and_return(["buildah.spec"]) for config_file_name in CONFIG_FILE_NAMES: pagure_project.should_receive("get_file_content").with_args( path=config_file_name, ref="abcd" ).and_raise(FileNotFoundError, "Not found.") flexmock(PackageConfigGetter).should_call("get_package_config_from_repo").once() flexmock(GitBranchModel).should_receive("get_or_create").with_args( branch_name="main", namespace="rpms", repo_name="buildah", project_url="https://src.fedoraproject.org/rpms/buildah", ).and_return(flexmock(id=9, job_config_trigger_type=JobConfigTriggerType.commit)) flexmock(ServiceConfig).should_receive("get_service_config").and_return( ServiceConfig( command_handler_work_dir=SANDCASTLE_WORK_DIR, repository_cache="/tmp/repository-cache", add_repositories_to_repository_cache=False, ) ) flexmock(LocalProject, refresh_the_arguments=lambda: None) flexmock(Signature).should_receive("apply_async").times(0) processing_results = SteveJobs().process_message(distgit_commit_event()) assert ( processing_results[0]["details"]["msg"] == "No packit config found in the repository." ) @pytest.mark.parametrize( "jobs_config", [ pytest.param( "[" "{'trigger': 'commit', 'job': 'koji_build', " "'metadata': {'dist_git_branches': ['a-different-branch']}}," "{'trigger': 'commit', 'job': 'koji_build', " "'metadata': {'dist_git_branches': ['main']}}" "]", id="multiple_jobs", ), pytest.param( "[" "{'trigger': 'commit', 'job': 'koji_build', " "'metadata': {'dist_git_branches': ['a-different-branch', 'main', 'other_branch']}}" "]", id="multiple_branches", ), pytest.param( "[" "{'trigger': 'commit', 'job': 'koji_build', " "'metadata': {'dist_git_branches': ['fedora-all']}}" "]", id="aliases", ), ], ) def test_downstream_koji_build_where_multiple_branches_defined(jobs_config): packit_yaml = ( "{'specfile_path': 'buildah.spec', 'synced_files': []," f"'jobs': {jobs_config}," "'downstream_package_name': 'buildah'}" ) pagure_project = flexmock( PagureProject, full_repo_name="rpms/buildah", get_web_url=lambda: "https://src.fedoraproject.org/rpms/buildah", default_branch="main", ) pagure_project.should_receive("get_files").with_args( ref="abcd", filter_regex=r".+\.spec$" ).and_return(["buildah.spec"]) pagure_project.should_receive("get_file_content").with_args( path=".distro/source-git.yaml", ref="abcd" ).and_raise(FileNotFoundError, "Not found.") pagure_project.should_receive("get_file_content").with_args( path=".packit.yaml", ref="abcd" ).and_return(packit_yaml) flexmock(GitBranchModel).should_receive("get_or_create").with_args( branch_name="main", namespace="rpms", repo_name="buildah", project_url="https://src.fedoraproject.org/rpms/buildah", ).and_return(flexmock(id=9, job_config_trigger_type=JobConfigTriggerType.commit)) flexmock(ServiceConfig).should_receive("get_service_config").and_return( ServiceConfig( command_handler_work_dir=SANDCASTLE_WORK_DIR, repository_cache="/tmp/repository-cache", add_repositories_to_repository_cache=False, ) ) flexmock(LocalProject, refresh_the_arguments=lambda: None) flexmock(RepositoryCache).should_call("__init__").once() flexmock(Signature).should_receive("apply_async").once() flexmock(Pushgateway).should_receive("push").once().and_return() flexmock(PackitAPI).should_receive("build").with_args( dist_git_branch="a-different-branch", scratch=False, nowait=True, from_upstream=False, ).times(0) flexmock(PackitAPI).should_receive("build").with_args( dist_git_branch="main", scratch=False, nowait=True, from_upstream=False, ).once() processing_results = SteveJobs().process_message(distgit_commit_event()) assert len(processing_results) == 1 event_dict, job, job_config, package_config = get_parameters_from_results( processing_results ) assert json.dumps(event_dict) results = run_downstream_koji_build( package_config=package_config, event=event_dict, job_config=job_config, ) assert first_dict_value(results["job"])["success"] @pytest.mark.parametrize( "jobs_config", [ pytest.param( "[" "{'trigger': 'commit', 'job': 'koji_build', " "'metadata': {'dist_git_branches': ['a-different-branch']}}," "{'trigger': 'commit', 'job': 'koji_build', " "'metadata': {'dist_git_branches': ['other_branch']}}" "]", id="multiple_jobs", ), pytest.param( "[" "{'trigger': 'commit', 'job': 'koji_build', " "'metadata': {'dist_git_branches': ['a-different-branch', 'other_branch']}}" "]", id="multiple_branches", ), pytest.param( "[" "{'trigger': 'commit', 'job': 'koji_build', " "'metadata': {'dist_git_branches': ['fedora-stable']}}" "]", id="aliases", ), ], ) def test_do_not_run_downstream_koji_build_for_a_different_branch(jobs_config): packit_yaml = ( "{'specfile_path': 'buildah.spec', 'synced_files': []," f"'jobs': {jobs_config}," "'downstream_package_name': 'buildah'}" ) pagure_project = flexmock( PagureProject, full_repo_name="rpms/buildah", get_web_url=lambda: "https://src.fedoraproject.org/rpms/buildah", default_branch="main", ) pagure_project.should_receive("get_files").with_args( ref="abcd", filter_regex=r".+\.spec$" ).and_return(["buildah.spec"]) pagure_project.should_receive("get_file_content").with_args( path=".distro/source-git.yaml", ref="abcd" ).and_raise(FileNotFoundError, "Not found.") pagure_project.should_receive("get_file_content").with_args( path=".packit.yaml", ref="abcd" ).and_return(packit_yaml) flexmock(GitBranchModel).should_receive("get_or_create").with_args( branch_name="main", namespace="rpms", repo_name="buildah", project_url="https://src.fedoraproject.org/rpms/buildah", ).and_return(flexmock(id=9, job_config_trigger_type=JobConfigTriggerType.commit)) flexmock(ServiceConfig).should_receive("get_service_config").and_return( ServiceConfig( command_handler_work_dir=SANDCASTLE_WORK_DIR, repository_cache="/tmp/repository-cache", add_repositories_to_repository_cache=False, ) ) flexmock(LocalProject, refresh_the_arguments=lambda: None) flexmock(PackitAPI).should_receive("build").times(0) processing_results = SteveJobs().process_message(distgit_commit_event()) assert not processing_results

36.620609

96

0.656136

1,697

15,637

5.693577

0.107837

0.05651

0.048023

0.045746

0.864624

0.848065

0.842165

0.827986

0.821362

0

0.000974

0.211805

15,637

426

97

36.706573

0.782961

0.004732

0

0.757333

0

0.231748

0.045694

0

0.026667

1

0.018667

false

0

0.045333

0.002667

0.066667

0

null

0

1

0

1

0

null

0

7

02fd4c256e27497133e09dbb412ea68f978ad205

12,437

py

Python

turbogears/i18n/data/am_ET.py

timmartin19/turbogears

b5420cb7e55757d418d8fadb512dbd7803c4279c

[ "MIT" ]

null

turbogears/i18n/data/am_ET.py

timmartin19/turbogears

b5420cb7e55757d418d8fadb512dbd7803c4279c

[ "MIT" ]

9

2015-01-27T19:13:56.000Z

2019-03-29T14:44:31.000Z

turbogears/i18n/data/am_ET.py

timmartin19/turbogears

b5420cb7e55757d418d8fadb512dbd7803c4279c

[ "MIT" ]

13

2015-04-14T14:15:53.000Z

2020-03-18T01:05:46.000Z

# Formatting configuration for locale am_ET languages={'gu': u'\u1309\u1303\u122d\u1272\u129b', 'gd': u'\u12a5\u1235\u12ae\u1275\u1235 \u130c\u120d\u12ad\u129b', 'ga': u'\u12a0\u12ed\u122a\u123d', 'gn': u'\u1313\u122b\u1292\u129b', 'gl': u'\u130b\u1208\u130b\u129b', 'la': u'\u120b\u1272\u1295\u129b', 'ln': u'\u120a\u1295\u130b\u120b\u129b', 'lo': u'\u120b\u12cd\u1235\u129b', 'tt': u'\u1273\u1273\u122d\u129b', 'tr': u'\u1271\u122d\u12ad\u129b', 'ts': u'\u133e\u1295\u130b\u129b', 'lv': u'\u120b\u1275\u126a\u12eb\u1295', 'to': u'\u1276\u1295\u130b', 'lt': u'\u120a\u1271\u12a0\u1292\u12eb\u1295', 'tk': u'\u1271\u122d\u12ad\u1218\u1295\u129b', 'th': u'\u1273\u12ed\u129b', 'ti': u'\u1275\u130d\u122d\u129b', 'tg': u'\u1273\u1302\u12aa\u129b', 'te': u'\u1270\u1209\u1309\u129b', 'ta': u'\u1273\u121a\u120d\u129b', 'yi': u'\u12ed\u12f2\u123b\u12ca\u129b', 'yo': u'\u12ee\u1229\u1263\u12ca\u129b', 'gez': u'\u130d\u12d5\u12dd\u129b', 'de': u'\u1300\u122d\u1218\u1295', 'da': u'\u12f4\u1292\u123d', 'dz': u'\u12f5\u12de\u1295\u130d\u12bb\u129b', 'st': u'\u1236\u12de\u129b', 'qu': u'\u12b5\u127f\u129b', 'el': u'\u130d\u122a\u12ad\u129b', 'eo': u'\u12a4\u1235\u1350\u122b\u1295\u1276', 'en': u'\u12a5\u1295\u130d\u120a\u12dd\u129b', 'zh': u'\u127b\u12ed\u1295\u129b', 'za': u'\u12e1\u12cb\u1295\u130d\u129b', 'uk': u'\u12e9\u12ad\u1228\u1292\u129b', 'eu': u'\u1263\u1235\u12ad\u129b', 'et': u'\u12a4\u1235\u1276\u1292\u12a0\u1295', 'es': u'\u1235\u1353\u1292\u123d', 'ru': u'\u122b\u123d\u129b', 'rw': u'\u12aa\u1295\u12eb\u122d\u12cb\u1295\u12f5\u129b', 'rm': u'\u122e\u121b\u1295\u1235', 'rn': u'\u1229\u1295\u12f2\u129b', 'ro': u'\u122e\u121b\u1292\u12eb\u1295', 'bn': u'\u1260\u1295\u130b\u120a\u129b', 'be': u'\u1264\u120b\u122b\u123b\u129b', 'bg': u'\u1261\u120d\u130b\u122a\u129b', 'ba': u'\u1263\u1235\u12aa\u122d\u129b', 'ps': u'\u1351\u123d\u1276\u129b', 'wo': u'\u12ce\u120e\u134d\u129b', 'jv': u'\u1303\u126b\u1295\u129b', 'bo': u'\u1275\u1260\u1275\u1295\u129b', 'bh': u'\u1262\u1203\u122a', 'bi': u'\u1262\u1235\u120b\u121d\u129b', 'br': u'\u1265\u122c\u1276\u1295\u129b', 'ja': u'\u1303\u1353\u1295\u129b', 'om': u'\u12a6\u122e\u121d\u129b', 'oc': u'\u12a6\u12aa\u1273\u1295\u129b', 'tw': u'\u1275\u12ca\u129b', 'or': u'\u12a6\u122a\u12eb\u129b', 'xh': u'\u12de\u1233\u129b', 'co': u'\u12ae\u122d\u1232\u12ab\u129b', 'ca': u'\u12ab\u1273\u120b\u1295\u129b', 'cy': u'\u12c8\u120d\u123d', 'cs': u'\u127c\u12ad\u129b', 'byn': u'\u1265\u120a\u1295', 'pt': u'\u1356\u122d\u1271\u130b\u120a\u129b', 'tl': u'\u1273\u130b\u120e\u1308\u129b', 'pa': u'\u1353\u1295\u1303\u1262\u129b', 'vi': u'\u126a\u1275\u1293\u121d\u129b', 'pl': u'\u1356\u120a\u123d', 'hy': u'\u12a0\u122d\u1218\u1293\u12ca', 'hr': u'\u12ad\u122e\u123d\u12eb\u1295\u129b', 'iu': u'\u12a5\u1291\u12ad\u1272\u1271\u1275\u129b', 'hu': u'\u1200\u1295\u130b\u122a\u129b', 'hi': u'\u1210\u1295\u12f5\u129b', 'ha': u'\u1203\u12cd\u1233\u129b', 'he': u'\u12d5\u1265\u122b\u1235\u1325', 'mg': u'\u121b\u120b\u130b\u1235\u129b', 'uz': u'\u12a1\u12dd\u1260\u12ad\u129b', 'ml': u'\u121b\u120b\u12eb\u120b\u121d\u129b', 'mo': u'\u121e\u120d\u12f3\u126b\u12ca\u1293', 'mn': u'\u121e\u1295\u130e\u120b\u12ca\u129b', 'mi': u'\u121b\u12ee\u122a\u129b', 'ik': u'\u12a5\u1291\u1352\u12eb\u1245\u129b', 'mk': u'\u121b\u12a8\u12f6\u1292\u129b', 'ur': u'\u12a1\u122d\u12f1\u129b', 'mt': u'\u121b\u120d\u1272\u1235\u129b', 'ms': u'\u121b\u120b\u12ed\u129b', 'mr': u'\u121b\u122b\u12da\u129b', 'ug': u'\u12a1\u12ca\u130d\u1201\u122d\u129b', 'my': u'\u1261\u122d\u121b\u129b', 'aa': u'\u12a0\u134b\u122d\u129b', 'ab': u'\u12a0\u1265\u1210\u12da\u129b', 'ss': u'\u1235\u12cb\u1272\u129b', 'af': u'\u12a0\u134d\u122a\u1243\u1295\u1235\u129b', 'tn': u'\u133d\u12cb\u1293\u12ca\u129b', 'sw': u'\u1235\u12cb\u1202\u120a\u129b', 'is': u'\u12a0\u12ed\u1235\u120b\u1295\u12f5\u129b', 'am': u'\u12a0\u121b\u122d\u129b', 'it': u'\u1323\u120a\u12eb\u1295\u129b', 'sv': u'\u1235\u12ca\u12f5\u1295\u129b', 'ia': u'\u12a2\u1295\u1274\u122d\u120a\u1295\u1313', 'as': u'\u12a0\u1233\u121c\u12db\u12ca', 'ar': u'\u12d0\u122d\u1262\u129b', 'su': u'\u1231\u12f3\u1295\u129b', 'zu': u'\u12d9\u1209\u129b', 'ay': u'\u12a0\u12eb\u121b\u122d\u129b', 'az': u'\u12a0\u12dc\u122d\u1263\u12ed\u1303\u1295\u129b', 'ie': u'\u12a5\u1295\u1270\u122d\u120a\u1295\u130d\u12c8', 'id': u'\u12a5\u1295\u12f6\u1292\u1232\u129b', 'sk': u'\u1235\u120e\u126b\u12ad\u129b', 'nl': u'\u12f0\u127d', 'no': u'\u1296\u122d\u12cc\u1302\u12eb\u1295', 'na': u'\u1293\u12a1\u1229', 'ne': u'\u1294\u1353\u120a\u129b', 'vo': u'\u126e\u120b\u1351\u12ad\u129b', 'sid': u'\u1232\u12f3\u121d\u129b', 'tig': u'\u1275\u130d\u1228', 'fr': u'\u1348\u1228\u1295\u1233\u12ed\u129b', 'sm': u'\u1233\u121e\u12a0\u129b', 'fy': u'\u134d\u122a\u1235\u129b', 'fa': u'\u1350\u122d\u1232\u12eb\u129b', 'fi': u'\u134a\u1292\u123d', 'fj': u'\u134a\u1302\u129b', 'sa': u'\u1233\u1295\u1235\u12ad\u122a\u1275\u129b', 'fo': u'\u134b\u122e\u129b', 'ka': u'\u130a\u12ee\u122d\u130a\u12eb\u1295', 'kk': u'\u12ab\u12db\u12ad\u129b', 'sr': u'\u1230\u122d\u1262\u129b', 'sq': u'\u120d\u1264\u1292\u129b', 'ko': u'\u12ae\u122a\u12eb\u129b', 'kn': u'\u12ab\u1293\u12f3\u129b', 'km': u'\u12ad\u1218\u122d\u129b', 'kl': u'\u12ab\u120b\u120a\u1231\u1275\u129b', 'ks': u'\u12ab\u123d\u121a\u122d\u129b', 'si': u'\u1235\u1295\u1203\u120d\u129b', 'so': u'\u1231\u121b\u120d\u129b', 'sn': u'\u123e\u1293\u129b', 'ku': u'\u12a9\u122d\u12f5\u123d\u129b', 'sl': u'\u1235\u120e\u126a\u129b', 'ky': u'\u12aa\u122d\u130a\u12dd\u129b', 'sg': u'\u1233\u1295\u130e\u129b', 'sd': u'\u1232\u1295\u12f5\u1202\u129b'} countries={'BE': u'\u1264\u120d\u1304\u121d', 'BG': u'\u1261\u120d\u130c\u122a\u12eb', 'BA': u'\u1266\u1235\u1292\u12eb \u12a5\u1293 \u1204\u122d\u12de\u130e\u126a\u1292\u12eb', 'BB': u'\u1263\u122d\u1264\u12f6\u1235', 'BM': u'\u1264\u122d\u1219\u12f3', 'BO': u'\u1266\u120a\u126a\u12eb', 'BH': u'\u1263\u1205\u122c\u1295', 'BT': u'\u1261\u1205\u1273\u1295', 'JM': u'\u1303\u121b\u12ed\u12ab', 'JO': u'\u1306\u122d\u12f3\u1295', 'BR': u'\u1265\u122b\u12da\u120d', 'BY': u'\u1264\u120b\u1229\u1235', 'BZ': u'\u1264\u120a\u12d8', 'RU': u'\u122b\u123a\u12eb', 'TL': u'\u121d\u1235\u122b\u1245 \u1272\u121e\u122d', 'RO': u'\u122e\u121c\u1292\u12eb', 'GW': u'\u1262\u1233\u12ce', 'GR': u'\u130d\u122a\u12ad', 'GQ': u'\u12a2\u12b3\u1276\u122a\u12eb\u120d \u130a\u1292', 'JP': u'\u1303\u1353\u1295', 'GY': u'\u1309\u12eb\u1293', 'GF': u'\u12e8\u1348\u1228\u1295\u1233\u12ed \u1309\u12ca\u12a0\u1293', 'GE': u'\u1306\u122d\u1302\u12eb', 'GB': u'\u12a5\u1295\u130d\u120a\u12dd', 'GN': u'\u130a\u1292', 'GM': u'\u130b\u121d\u1262\u12eb', 'TN': u'\u1271\u1292\u12da\u12eb', 'SP': u'\u1230\u122d\u1262\u12eb', 'HR': u'\u12ad\u122e\u12a4\u123d\u12eb', 'HT': u'\u1200\u12ed\u1272', 'HU': u'\u1200\u1295\u130b\u122a', 'HK': u'\u1206\u1295\u130d \u12ae\u1295\u130d', 'VE': u'\u126c\u1295\u12d9\u12cc\u120b', 'PR': u'\u1356\u122d\u1273 \u122a\u12ae', 'PF': u'\u12e8\u1348\u1228\u1295\u1233\u12ed \u1356\u120a\u1294\u12e2\u12eb', 'PG': u'\u1353\u1351\u12cb \u1292\u12cd \u130a\u1292', 'PE': u'\u1354\u1229', 'SO': u'\u1231\u121b\u120c', 'PL': u'\u1356\u120b\u1295\u12f5', 'ZM': u'\u12db\u121d\u1262\u12eb', 'EH': u'\u121d\u12d5\u122b\u1263\u12ca \u1233\u1205\u122b', 'EE': u'\u12a4\u1235\u1276\u1292\u12eb', 'EG': u'\u130d\u1265\u133d', 'ZA': u'\u12f0\u1261\u1265 \u12a0\u134d\u122a\u12ab', 'EC': u'\u12a2\u12b3\u12f6\u122d', 'IT': u'\u1323\u120a\u12eb\u1295', 'ET': u'\u12a2\u1275\u12ee\u1335\u12eb', 'ES': u'\u1235\u1354\u1295', 'ER': u'\u12a4\u122d\u1275\u122b', 'MD': u'\u121e\u120d\u12f6\u126b', 'MA': u'\u121e\u122e\u12ae', 'UZ': u'\u12e9\u12dd\u1260\u12aa\u1235\u1273\u1295', 'MO': u'\u121b\u12ab\u12ce', 'MN': u'\u121e\u1295\u130e\u120a\u12eb', 'MK': u'\u121b\u12a8\u12f6\u1292\u12eb', 'MU': u'\u121b\u1229\u1238\u1235', 'MT': u'\u121b\u120d\u1273', 'MR': u'\u121e\u122a\u1274\u1292\u12eb', 'UG': u'\u12e9\u130b\u1295\u12f3', 'MY': u'\u121b\u120c\u12e2\u12eb', 'MX': u'\u121c\u12ad\u1232\u12ae', 'IL': u'\u12a5\u1235\u122b\u12a4\u120d', 'FI': u'\u134a\u1295\u120b\u1295\u12f5', 'FJ': u'\u134a\u1302', 'FM': u'\u121a\u12ad\u122e\u1294\u12e2\u12eb', 'NL': u'\u1294\u12d8\u122d\u120b\u1295\u12f5', 'NO': u'\u1296\u122d\u12cc', 'NA': u'\u1293\u121a\u1262\u12eb', 'NC': u'\u1292\u12cd \u12ab\u120c\u12f6\u1292\u12eb', 'NG': u'\u1293\u12ed\u1304\u122a\u12eb', 'NZ': u'\u1292\u12cd \u12da\u120b\u1295\u12f5', 'NP': u'\u1294\u1353\u120d', 'CH': u'\u1235\u12ca\u12d8\u122d\u120b\u1295\u12f5', 'CO': u'\u12ae\u120e\u121d\u1262\u12eb', 'CN': u'\u127b\u12ed\u1293', 'CM': u'\u12ab\u121c\u1229\u1295', 'CL': u'\u127a\u120a', 'CF': u'\u12e8\u1218\u12ab\u12a8\u1208\u129b\u12cd \u12a0\u134d\u122a\u12ab \u122a\u1350\u1265\u120a\u12ad', 'CD': u'\u12ae\u1295\u130e', 'CZ': u'\u127c\u12ad \u122a\u1351\u1265\u120a\u12ad', 'CY': u'\u1233\u12ed\u1355\u1228\u1235', 'CV': u'\u12ac\u1355 \u126c\u122d\u12f4', 'SY': u'\u1232\u122a\u12eb', 'KH': u'\u12ab\u121d\u1266\u12f2\u12eb', 'KM': u'\u12ae\u121e\u122e\u1235', 'SK': u'\u1235\u120e\u126b\u12aa\u12eb', 'KR': u'\u1230\u121c\u1295 \u12ae\u122a\u12eb', 'SI': u'\u1235\u120e\u126c\u1292\u12eb', 'KP': u'\u12f0\u1261\u1265 \u12ae\u122a\u12eb', 'KW': u'\u12ad\u12cc\u1275', 'SN': u'\u1234\u1294\u130b\u120d', 'SA': u'\u1233\u12cd\u12f5\u12a0\u1228\u1262\u12eb', 'SG': u'\u1232\u1295\u130b\u1356\u122d', 'SE': u'\u1235\u12ca\u12f5\u1295', 'SD': u'\u1231\u12f3\u1295', 'DO': u'\u12f6\u121a\u1292\u12ad \u122a\u1351\u1265\u120a\u12ad', 'DM': u'\u12f6\u121a\u1292\u12ab', 'DK': u'\u12f4\u1295\u121b\u122d\u12ad', 'DE': u'\u1300\u122d\u1218\u1295', 'YE': u'\u12e8\u1218\u1295', 'DZ': u'\u12a0\u120d\u1304\u122a\u12eb', 'US': u'\u12a0\u121c\u122a\u12ab', 'YU': u'\u12e9\u130e\u12dd\u120b\u126a\u12eb', 'LB': u'\u120a\u1263\u1296\u1235', 'TT': u'\u1275\u122a\u1292\u12f3\u12f5 \u12a5\u1293 \u1276\u1263\u130e', 'TR': u'\u1271\u122d\u12ad', 'LV': u'\u120b\u1275\u126a\u12eb', 'LT': u'\u120a\u1271\u12cc\u1292\u12eb', 'TJ': u'\u1273\u1303\u12aa\u1235\u1273\u1295', 'TH': u'\u1273\u12ed\u120b\u1295\u12f5', 'TF': u'\u12e8\u1348\u1228\u1295\u1233\u12ed \u12f0\u1261\u1263\u12ca \u130d\u12db\u1276\u127d', 'TD': u'\u127b\u12f5', 'LY': u'\u120a\u1262\u12eb', 'AE': u'\u12e8\u1270\u1263\u1260\u1229\u1275 \u12a0\u1228\u1265 \u12a4\u121d\u122c\u1275\u1235', 'AD': u'\u12a0\u1295\u12f6\u122b', 'VG': u'\u12e8\u12a5\u1295\u130d\u120a\u12dd \u12f5\u1295\u130d\u120d \u12f0\u1234\u1276\u127d', 'IQ': u'\u12a2\u122b\u1245', 'VI': u'\u12e8\u12a0\u121c\u122a\u12ab \u1268\u122d\u1302\u1295 \u12f0\u1234\u1276\u127d', 'IS': u'\u12a0\u12ed\u1235\u120b\u1295\u12f5', 'AM': u'\u12a0\u122d\u121c\u1292\u12eb', 'AL': u'\u12a0\u120d\u1263\u1292\u12eb', 'AN': u'\u1294\u12d8\u122d\u120b\u1295\u12f5\u1235 \u12a0\u1295\u1272\u120d\u1235', 'AR': u'\u12a0\u122d\u1300\u1295\u1272\u1293', 'AU': u'\u12a0\u12cd\u1235\u1275\u122c\u120a\u12eb', 'AT': u'\u12a6\u1235\u1275\u122a\u12eb', 'IN': u'\u1205\u1295\u12f5', 'TZ': u'\u1273\u1295\u12db\u1292\u12eb', 'AZ': u'\u12a0\u12d8\u122d\u1263\u1303\u1295', 'IE': u'\u12a0\u12e8\u122d\u120b\u1295\u12f5', 'ID': u'\u12a2\u1295\u12f6\u1294\u12e2\u12eb'} months=[u'\u1303\u1295\u12e9\u12c8\u122a', u'\u134c\u1265\u1229\u12c8\u122a', u'\u121b\u122d\u127d', u'\u12a4\u1355\u1228\u120d', u'\u121c\u12ed', u'\u1301\u1295', u'\u1301\u120b\u12ed', u'\u12a6\u1308\u1235\u1275', u'\u1234\u1355\u1274\u121d\u1260\u122d', u'\u12a6\u12ad\u1270\u12cd\u1260\u122d', u'\u1296\u126c\u121d\u1260\u122d', u'\u12f2\u1234\u121d\u1260\u122d'] abbrMonths=[u'\u1303\u1295\u12e9', u'\u134c\u1265\u1229', u'\u121b\u122d\u127d', u'\u12a4\u1355\u1228', u'\u121c\u12ed', u'\u1301\u1295', u'\u1301\u120b\u12ed', u'\u12a6\u1308\u1235', u'\u1234\u1355\u1274', u'\u12a6\u12ad\u1270', u'\u1296\u126c\u121d', u'\u12f2\u1234\u121d'] days=[u'\u1230\u129e', u'\u121b\u12ad\u1230\u129e', u'\u1228\u1261\u12d5', u'\u1210\u1219\u1235', u'\u12d3\u122d\u1265', u'\u1245\u12f3\u121c', u'\u12a5\u1211\u12f5'] abbrDays=[u'\u1230\u129e', u'\u121b\u12ad\u1230', u'\u1228\u1261\u12d5', u'\u1210\u1219\u1235', u'\u12d3\u122d\u1265', u'\u1245\u12f3\u121c', u'\u12a5\u1211\u12f5'] dateFormats={'medium': '%d-%%(abbrmonthname)s-%y', 'full': u'%%(dayname)s\u1363 %d %%(monthname)s \u1240\u1295 %Y G', 'long': '%d %%(monthname)s %Y', 'short': '%d/%m/%y'} numericSymbols={'group': ',', 'nativeZeroDigit': '0', 'exponential': 'E', 'perMille': u'\u2030', 'nan': u'\ufffd', 'decimal': '.', 'percentSign': '%', 'list': ';', 'patternDigit': '#', 'plusSign': '+', 'infinity': u'\u221e', 'minusSign': '-'}

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731.588235

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b85dca908c8cf1d5c0a55a78d7a2c9716aef5c0e

22,262

py

Python

answer_selection/paircnn/train_test_utils.py

shashiongithub/Document-Modeling-with-External-Information

8db8dc4ab2d9a49af6523742ce9580aa22e12c8e

[ "BSD-2-Clause" ]

null

answer_selection/paircnn/train_test_utils.py

shashiongithub/Document-Modeling-with-External-Information

8db8dc4ab2d9a49af6523742ce9580aa22e12c8e

[ "BSD-2-Clause" ]

null

answer_selection/paircnn/train_test_utils.py

shashiongithub/Document-Modeling-with-External-Information

8db8dc4ab2d9a49af6523742ce9580aa22e12c8e

[ "BSD-2-Clause" ]

null

from __future__ import absolute_import from __future__ import division from __future__ import print_function import sys sys.path.append('../../common') import math import os import random import sys import time import pdb import numpy as np import tensorflow as tf from data_utils import DataProcessor, BatchData, write_prediction_summaries, write_cos_sim from my_flags import FLAGS from my_model import MY_Model from model_utils import convert_logits_to_softmax_paircnn from local_metrics import mrr_metric, map_score, accuracy_qas_top, save_metrics, group_by_doc seed = 42 np.random.seed(seed) ######################## Batch Testing a model on some dataset ############ def batch_load_data(data): main_batch = BatchData(None,None,None,None) step = 1 while (step * FLAGS.batch_size) <= len(data.fileindices): # Get batch data as Numpy Arrays : Without shuffling batch = data.get_batch(((step-1)*FLAGS.batch_size), (step * FLAGS.batch_size)) main_batch.extend(batch) # Increase step step += 1 # Check if any data left if (len(data.fileindices) > ((step-1)*FLAGS.batch_size)): # Get last batch as Numpy Arrays batch = data.get_batch(((step-1)*FLAGS.batch_size), len(data.fileindices)) main_batch.extend(batch) # Convert list to tensors main_batch.concat_batches() return main_batch def batch_predict_with_a_model(batch,data_type,model,session=None): step = 1 cos_sim_list = [] logits_list = [] while (step * FLAGS.batch_size) <= len(batch.docs): # Get batch data as Numpy Arrays : Without shuffling start_idx = (step-1)*FLAGS.batch_size end_idx = step * FLAGS.batch_size # not inclusive docs = batch.docs[start_idx:end_idx] labels = batch.labels[start_idx:end_idx] if FLAGS.load_prediction==-1: batch_logits = session.run(model.logits, feed_dict={model.document_placeholder: docs, model.label_placeholder: labels}) logits_list.append(batch_logits) # Increase step step += 1 # Check if any data left if (len(batch.docs) > ((step-1)*FLAGS.batch_size)): # Get last batch as Numpy Arrays start_idx = (step-1)*FLAGS.batch_size end_idx = len(batch.docs) # not inclusive docs = batch.docs[start_idx:end_idx] labels = batch.labels[start_idx:end_idx] if FLAGS.load_prediction==-1: batch_logits = session.run(model.logits, feed_dict={model.document_placeholder: docs, model.label_placeholder: labels}) logits_list.append(batch_logits) if FLAGS.load_prediction!=-1: print("Loading netword predictions and embeddings...") fn_logits = "step-a.model.ckpt.epoch-%d.%s-prediction" % (FLAGS.load_prediction,data_type) logits_list = data.load_prediction(fn_logits) else: # Concatenate logits and cos_sim logits_list = np.vstack(logits_list) batch.logits = logits_list return batch ######################## CPU/GPU conf functions ########################### def meta_experiment_gpu_conf(mode): # Training: use the tf default graph with tf.Graph().as_default() and tf.device('/gpu:'+FLAGS.gpu_id): config = tf.ConfigProto(allow_soft_placement = True) # Start a session with tf.Session(config = config) as sess: if mode=='train_simple': train_simple(sess) elif mode=='test': test(sess) elif mode=='test_train': test_train(sess) elif mode=='test_val': test_val(sess) elif mode=='train_debug': #train_debug(sess) train_simple(sess) def meta_experiment_cpu_conf(mode): # Training: use the tf default graph with tf.Graph().as_default(): # Start a session with tf.Session() as sess: if mode=='train': train_simple(sess) elif mode=='test': test(sess) elif mode=='test_train': test_train(sess) elif mode=='test_val': test_val(sess) elif mode=='train_debug': train_debug(sess) #train_simple(sess) # ######################## Train Mode ########################### def train_debug(sess): """ Training Mode: Create a new model and train the network """ tf.set_random_seed(seed) ### Prepare data for training print("Prepare vocab dict and read pretrained word embeddings ...") vocab_dict, word_embedding_array = DataProcessor().prepare_vocab_embeddingdict() # vocab_dict contains _PAD and _UNK but not word_embedding_array print("Prepare training data ...") train_data = DataProcessor().prepare_news_data(vocab_dict, data_type="training") print("Training size: ",len(train_data.fileindices)) print("Prepare validation data ...") # data in whole batch with padded matrixes val_batch = batch_load_data(DataProcessor().prepare_news_data(vocab_dict, data_type="validation")) print("Validation size: ",val_batch.docs.shape[0]) fil_lens_to_test = FLAGS.max_filter_length - FLAGS.min_filter_length + 1 if FLAGS.handle_filter_output == "concat" and FLAGS.sentembed_size%fil_lens_to_test != 0: q = int(FLAGS.sentembed_size // fil_lens_to_test) FLAGS.sentembed_size = q * fil_lens_to_test print("corrected embedding size: %d" % FLAGS.sentembed_size) # Create Model with various operations model = MY_Model(sess, len(vocab_dict)-2) init_epoch = 1 # Resume training if indicated Select the model if FLAGS.model_to_load!=-1: selected_modelpath = FLAGS.train_dir+"/step-a.model.ckpt.epoch-"+str(FLAGS.model_to_load) init_epoch = FLAGS.model_to_load + 1 print("Reading model parameters from %s" % selected_modelpath) model.saver.restore(sess, selected_modelpath) print("Model loaded.") # Initialize word embedding before training print("Initialize word embedding vocabulary with pretrained embeddings ...") sess.run(model.vocab_embed_variable.assign(word_embedding_array)) ### STEP A : Start Pretraining the policy with Supervised Labels: Simple Cross Entropy Training counter = 0 max_val_acc = -1 for epoch in range(init_epoch, FLAGS.train_epoch_crossentropy+1): ep_time = time.time() # to check duration train_data.shuffle_fileindices() # Start Batch Training step = 1 total_ce_loss = 0 while (step * FLAGS.batch_size) <= len(train_data.fileindices): # Get batch data as Numpy Arrays batch = train_data.get_batch(((step-1)*FLAGS.batch_size), (step * FLAGS.batch_size)) # Run optimizer: optimize policy and reward estimator sess.run([model.train_op_policynet_withgold], feed_dict={model.document_placeholder: batch.docs, model.label_placeholder: batch.labels }) prev_use_dpt = FLAGS.use_dropout FLAGS.use_dropout = False batch_logits,ce_loss,merged_summ = sess.run([ model.logits, model.cross_entropy_loss, model.merged], feed_dict={model.document_placeholder: batch.docs, model.label_placeholder: batch.labels }) total_ce_loss += ce_loss FLAGS.use_dropout = prev_use_dpt # Print the progress if (step % FLAGS.training_checkpoint) == 0: #acc_sum = sess.run( model.tstepa_accuracy_summary, # feed_dict={model.train_acc_placeholder: total_train_acc}) total_ce_loss /= FLAGS.training_checkpoint # Print Summary to Tensor Board model.summary_writer.add_summary(merged_summ, counter) #model.summary_writer.add_summary(acc_sum, counter) # Performance on the validation set FLAGS.authorise_gold_label = False prev_use_dpt = FLAGS.use_dropout FLAGS.use_dropout = False val_batch = batch_predict_with_a_model(val_batch,"validation", model, session=sess) FLAGS.use_dropout = prev_use_dpt FLAGS.authorise_gold_label = True # Validation Accuracy and Prediction probs = sess.run(model.predictions,feed_dict={model.logits_placeholder: val_batch.logits}) probs,lab,w = group_by_doc(probs,val_batch.labels,val_batch.qids) validation_acc = accuracy_qas_top(probs,lab,w) val_mrr = mrr_metric(probs,lab,w,"validation") val_map = map_score (probs,lab,w,"validation") ce_loss_val, ce_loss_sum, acc_sum = sess.run([ model.cross_entropy_loss_val, model.ce_loss_summary_val, model.vstepa_accuracy_summary], feed_dict={model.logits_placeholder: val_batch.logits, model.label_placeholder: val_batch.labels, model.val_acc_placeholder: validation_acc}) # Print Validation Summary model.summary_writer.add_summary(acc_sum, counter) model.summary_writer.add_summary(ce_loss_sum, counter) print("Epoch %2d, step: %2d(%2d) || CE loss || Train : %4.3f , Val : %4.3f || val_acc :%.3f | val_mrr:%.4f | val_mac:%.4f" % (epoch,step,counter,total_ce_loss,ce_loss_val,validation_acc,val_mrr,val_map)) total_ce_loss = 0 if (step % 5) == 0: # to have comparable tensorboard plots counter += 1 # Increase step step += 1 #END-WHILE-TRAINING ... but wait there is more ## eval metrics FLAGS.authorise_gold_label = False prev_use_dpt = FLAGS.use_dropout FLAGS.use_dropout = False val_batch = batch_predict_with_a_model(val_batch,"validation", model, session=sess) FLAGS.use_dropout = prev_use_dpt FLAGS.authorise_gold_label = True # Validation metrics probs = sess.run(model.predictions,feed_dict={model.logits_placeholder: val_batch.logits}) probs,lab,w = group_by_doc(probs,val_batch.labels,val_batch.qids) acc = accuracy_qas_top(probs,lab,w) mrr = mrr_metric(probs,lab,w,"validation") _map = map_score (probs,lab,w,"validation") print("Metrics: acc: %.4f | mrr: %.4f | map: %.4f" % (acc,mrr,_map)) ce_loss_val, ce_loss_sum, acc_sum = sess.run([ model.cross_entropy_loss_val, model.ce_loss_summary_val, model.vstepa_accuracy_summary], feed_dict={model.logits_placeholder: val_batch.logits, model.label_placeholder: val_batch.labels, model.val_acc_placeholder: acc}) # Print Validation Summary model.summary_writer.add_summary(acc_sum, epoch) model.summary_writer.add_summary(ce_loss_sum, epoch) print("Epoch %2d : Duration: %.4f" % (epoch,time.time()-ep_time) ) if FLAGS.save_models: print("Saving model after epoch completion") checkpoint_path = os.path.join(FLAGS.train_dir, "step-a.model.ckpt.epoch-"+str(epoch)) model.saver.save(sess, checkpoint_path) print("------------------------------------------------------------------------------------------") #END-FOR-EPOCH print("Optimization Finished!") def train_simple(sess): """ Training Mode: Create a new model and train the network """ tf.set_random_seed(seed) ### Prepare data for training vocab_dict, word_embedding_array = DataProcessor().prepare_vocab_embeddingdict() # vocab_dict contains _PAD and _UNK but not word_embedding_array train_data = DataProcessor().prepare_news_data(vocab_dict, data_type="training") # data in whole batch with padded matrixes val_batch = batch_load_data(DataProcessor().prepare_news_data(vocab_dict, data_type="validation")) fil_lens_to_test = FLAGS.max_filter_length - FLAGS.min_filter_length + 1 if FLAGS.handle_filter_output == "concat" and FLAGS.sentembed_size%fil_lens_to_test != 0: q = int(FLAGS.sentembed_size // fil_lens_to_test) FLAGS.sentembed_size = q * fil_lens_to_test print("corrected embedding size: %d" % FLAGS.sentembed_size) # Create Model with various operations model = MY_Model(sess, len(vocab_dict)-2) init_epoch = 1 # Resume training if indicated Select the model if FLAGS.model_to_load!=-1: selected_modelpath = FLAGS.train_dir+"/step-a.model.ckpt.epoch-"+str(FLAGS.model_to_load) init_epoch = FLAGS.model_to_load + 1 print("Reading model parameters from %s" % selected_modelpath) model.saver.restore(sess, selected_modelpath) print("Model loaded.") # Initialize word embedding before training sess.run(model.vocab_embed_variable.assign(word_embedding_array)) ### STEP A : Start Pretraining the policy with Supervised Labels: Simple Cross Entropy Training counter = 0 max_val_acc = -1 for epoch in range(init_epoch, FLAGS.train_epoch_crossentropy+1): ep_time = time.time() # to check duration train_data.shuffle_fileindices() # Start Batch Training step = 1 total_loss = 0 while (step * FLAGS.batch_size) <= len(train_data.fileindices): # Get batch data as Numpy Arrays batch = train_data.get_batch(((step-1)*FLAGS.batch_size), (step * FLAGS.batch_size)) # Run optimizer: optimize policy and reward estimator _,ce_loss = sess.run([model.train_op_policynet_withgold, model.cross_entropy_loss], feed_dict={model.document_placeholder: batch.docs, model.label_placeholder: batch.labels}) total_loss += ce_loss step += 1 #END-WHILE-TRAINING ... but wait there is more ## eval metrics prev_use_dpt = FLAGS.use_dropout total_loss /= step FLAGS.use_dropout = False # retrieve batch with updated logits in it val_batch = batch_predict_with_a_model(val_batch, "validation", model, session=sess) FLAGS.use_dropout = prev_use_dpt probs = sess.run(model.predictions,feed_dict={model.logits_placeholder: val_batch.logits}) probs,lab,w = group_by_doc(probs,val_batch.labels,val_batch.qids) validation_acc = accuracy_qas_top(probs,lab,w) val_mrr = mrr_metric(probs,lab,w,"validation") val_map = map_score (probs,lab,w,"validation") print("\tEpoch %2d || Train ce_loss: %4.3f || Val acc: %.4f || Val mrr: %.4f || Val mac: %.4f || duration: %3.2f" % (epoch,total_loss,validation_acc,val_mrr,val_map,time.time()-ep_time)) ce_loss_val, ce_loss_sum, acc_sum = sess.run([ model.cross_entropy_loss_val, model.ce_loss_summary_val, model.vstepa_accuracy_summary], feed_dict={model.logits_placeholder: val_batch.logits, model.label_placeholder: val_batch.labels, model.val_acc_placeholder: validation_acc}) # Print Validation Summary model.summary_writer.add_summary(acc_sum, epoch) model.summary_writer.add_summary(ce_loss_sum, epoch) if FLAGS.save_models: print("Saving model after epoch completion") checkpoint_path = os.path.join(FLAGS.train_dir, "step-a.model.ckpt.epoch-"+str(epoch)) model.saver.save(sess, checkpoint_path) print("------------------------------------------------------------------------------------------") #END-FOR-EPOCH print("Optimization Finished!") # ######################## Test Mode ########################### def test(sess): tf.set_random_seed(seed) ### Prepare data for training print("Prepare vocab dict and read pretrained word embeddings ...") vocab_dict, word_embedding_array = DataProcessor().prepare_vocab_embeddingdict() # vocab_dict contains _PAD and _UNK but not word_embedding_array print("Prepare test data ...") test_batch = batch_load_data(DataProcessor().prepare_news_data(vocab_dict, data_type="test")) fil_lens_to_test = FLAGS.max_filter_length - FLAGS.min_filter_length + 1 if FLAGS.handle_filter_output == "concat" and FLAGS.sentembed_size%fil_lens_to_test != 0: q = int(FLAGS.sentembed_size // fil_lens_to_test) FLAGS.sentembed_size = q * fil_lens_to_test print("corrected embedding size: %d" % FLAGS.sentembed_size) # Create Model with various operations model = MY_Model(sess, len(vocab_dict)-2) # Select the model selected_modelpath = FLAGS.train_dir+"/step-a.model.ckpt.epoch-"+str(FLAGS.model_to_load) # Reload saved model and test #print("Reading model parameters from %s" % selected_modelpath) model.saver.restore(sess, selected_modelpath) #print("Model loaded.") # Initialize word embedding before training sess.run(model.vocab_embed_variable.assign(word_embedding_array)) # Test Accuracy and Prediction #print("Performance on the test data:") FLAGS.authorise_gold_label = False FLAGS.use_dropout = False test_batch = batch_predict_with_a_model(test_batch,"test",model, session=sess) probs = sess.run(model.predictions,feed_dict={model.logits_placeholder: test_batch.logits}) probs,lab,w = group_by_doc(probs,test_batch.labels,test_batch.qids) acc = accuracy_qas_top(probs,lab,w) mrr = mrr_metric(probs,lab,w,"test") _map = map_score (probs,lab,w,"test") print("Metrics: acc: %.4f | mrr: %.4f | map: %.4f" % (acc,mrr,_map)) # ######################## Test Mode on Training Data ########################### def test_train(sess): """ Test Mode: Loads an existing model and test it on the training set """ tf.set_random_seed(seed) ### Prepare data for training vocab_dict, word_embedding_array = DataProcessor().prepare_vocab_embeddingdict() # vocab_dict contains _PAD and _UNK but not word_embedding_array test_batch = batch_load_data(DataProcessor().prepare_news_data(vocab_dict, data_type="training")) fil_lens_to_test = FLAGS.max_filter_length - FLAGS.min_filter_length + 1 if FLAGS.handle_filter_output == "concat" and FLAGS.sentembed_size%fil_lens_to_test != 0: q = int(FLAGS.sentembed_size // fil_lens_to_test) FLAGS.sentembed_size = q * fil_lens_to_test print("corrected embedding size: %d" % FLAGS.sentembed_size) # Create Model with various operations model = MY_Model(sess, len(vocab_dict)-2) # Select the model selected_modelpath = FLAGS.train_dir+"/step-a.model.ckpt.epoch-"+str(FLAGS.model_to_load) # Reload saved model and test #print("Reading model parameters from %s" % selected_modelpath) model.saver.restore(sess, selected_modelpath) #print("Model loaded.") # Initialize word embedding before training sess.run(model.vocab_embed_variable.assign(word_embedding_array)) # Test Accuracy and Prediction print("Performance on the training data:") FLAGS.use_dropout = False test_batch = batch_predict_with_a_model(test_batch,"training",model, session=sess) probs = sess.run(model.predictions,feed_dict={model.logits_placeholder: test_batch.logits}) probs,lab,w = group_by_doc(probs,test_batch.labels,test_batch.qids) acc = accuracy_qas_top(probs,lab,w) mrr = mrr_metric(probs,lab,w,"training") _map = map_score (probs,lab,w,"training") print("Metrics: acc: %.4f | mrr: %.4f | map: %.4f" % (acc,mrr,_map)) # ######################## Test Mode on Validation Data ########################### def test_val(sess): """ Test on validation Mode: Loads an existing model and test it on the validation set """ tf.set_random_seed(seed) if FLAGS.load_prediction != -1: print("====================================== [%d] ======================================" % (FLAGS.load_prediction)) ### Prepare data for training #print("Prepare vocab dict and read pretrained word embeddings ...") vocab_dict, word_embedding_array = DataProcessor().prepare_vocab_embeddingdict() # vocab_dict contains _PAD and _UNK but not word_embedding_array val_batch = batch_load_data(DataProcessor().prepare_news_data(vocab_dict, data_type="validation")) fil_lens_to_test = FLAGS.max_filter_length - FLAGS.min_filter_length + 1 if FLAGS.handle_filter_output == "concat" and FLAGS.sentembed_size%fil_lens_to_test != 0: q = int(FLAGS.sentembed_size // fil_lens_to_test) FLAGS.sentembed_size = q * fil_lens_to_test print("corrected embedding size: %d" % FLAGS.sentembed_size) # Create Model with various operations model = MY_Model(sess, len(vocab_dict)-2) # # Initialize word embedding before training #print("Initialize word embedding vocabulary with pretrained embeddings ...") #sess.run(model.vocab_embed_variable.assign(word_embedding_array)) # Select the model selected_modelpath = FLAGS.train_dir+"/step-a.model.ckpt.epoch-"+str(FLAGS.model_to_load) # Reload saved model and test #print("Reading model parameters from %s" % selected_modelpath) model.saver.restore(sess, selected_modelpath) #print("Model loaded.") # Initialize word embedding before training sess.run(model.vocab_embed_variable.assign(word_embedding_array)) # Test Accuracy and Prediction FLAGS.authorise_gold_label = False FLAGS.use_dropout = False val_batch = batch_predict_with_a_model(val_batch,"validation",model, session=sess) FLAGS.authorise_gold_label = True probs = sess.run(model.predictions,feed_dict={model.logits_placeholder: val_batch.logits}) probs,lab,w = group_by_doc(probs,val_batch.labels,val_batch.qids) acc = accuracy_qas_top(probs,lab,w) mrr = mrr_metric(probs,lab,w,"validation") _map = map_score (probs,lab,w,"validation") print("Metrics: acc: %.4f | mrr: %.4f | map: %.4f" % (acc,mrr,_map)) if FLAGS.load_prediction != -1: fn = '' if FLAGS.filtered_setting: fn = "%s/step-a.model.ckpt.%s-top%d-isf-metrics" % (FLAGS.train_dir,"validation",FLAGS.topK) else: fn = "%s/step-a.model.ckpt.%s-metrics" % (FLAGS.train_dir,"validation") save_metrics(fn,FLAGS.load_prediction,validation_acc,mrr_score,mapsc)

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b86acfc8f3a9c3e3c34325c53930435f11caad39

6,280

py

Python

tests/s3/test_get_copy_args.py

kazhala/fawsf

4abefb2301f7b489b11ed3f0b303faafa5941d5b

[ "MIT" ]

66

2020-07-26T12:43:30.000Z

2022-01-25T12:09:40.000Z

tests/s3/test_get_copy_args.py

kazhala/fawsf

4abefb2301f7b489b11ed3f0b303faafa5941d5b

[ "MIT" ]

null

tests/s3/test_get_copy_args.py

kazhala/fawsf

4abefb2301f7b489b11ed3f0b303faafa5941d5b

[ "MIT" ]

3

2020-07-26T22:09:45.000Z

2020-07-28T01:09:26.000Z

import os import json import unittest from unittest.mock import PropertyMock, patch from fzfaws.s3.helper.get_copy_args import get_copy_args, check_acl_update from fzfaws.s3.helper.s3args import S3Args from botocore.stub import Stubber import boto3 from fzfaws.s3 import S3 from fzfaws.s3.helper.s3args import S3Args class TestS3GetCopyArgs(unittest.TestCase): @patch.object(S3Args, "acl_full", new_callable=PropertyMock) @patch.object(S3Args, "acl_read", new_callable=PropertyMock) @patch.object(S3Args, "acl_acp_write", new_callable=PropertyMock) @patch.object(S3Args, "acl_acp_read", new_callable=PropertyMock) def test_check_acl_update( self, mocked_acp_read, mocked_acp_write, mocked_read, mocked_full ): mocked_read.return_value = True mocked_full.return_value = True mocked_acp_write.return_value = True mocked_acp_read.return_value = True s3_args = S3Args result = check_acl_update(s3_args) self.assertEqual(result, False) mocked_read.return_value = False mocked_full.return_value = True mocked_acp_write.return_value = True mocked_acp_read.return_value = True s3_args = S3Args result = check_acl_update(s3_args) self.assertEqual(result, False) mocked_read.return_value = False mocked_full.return_value = False mocked_acp_write.return_value = False mocked_acp_read.return_value = False s3_args = S3Args result = check_acl_update(s3_args) self.assertEqual(result, True) def test_get_copy_args_no_version(self): data_path1 = os.path.join( os.path.dirname(os.path.abspath(__file__)), "../data/s3_obj.json" ) with open(data_path1, "r") as file: response1 = json.load(file) data_path2 = os.path.join( os.path.dirname(os.path.abspath(__file__)), "../data/s3_acl.json" ) with open(data_path2, "r") as file: response2 = json.load(file) # no version, update acl true s3_client = boto3.client("s3") stubber = Stubber(s3_client) stubber.add_response("get_object", response1) stubber.add_response("get_object_acl", response2) stubber.activate() s3 = S3() s3._client = s3_client s3.bucket_name = "hello" s3_args = S3Args(s3) result = get_copy_args(s3, "hello.json", s3_args, False) self.assertEqual( result, { "Bucket": "hello", "Key": "hello.json", "CopySource": {"Bucket": "hello", "Key": "hello.json"}, "StorageClass": "REDUCED_REDUNDANCY", "ServerSideEncryption": "aws:kms", "SSEKMSKeyId": "arn:aws:kms:ap-southeast-2:11111111:key/11111111-f48d-48b8-90d4-d5bd03a603d4", "GrantRead": "uri=http://acs.amazonaws.com/groups/global/AllUsers", }, ) # no version, update acl false s3_client = boto3.client("s3") stubber = Stubber(s3_client) stubber.add_response("get_object", response1) stubber.add_response("get_object_acl", response2) stubber.activate() s3 = S3() s3._client = s3_client s3.bucket_name = "hello" s3_args = S3Args(s3) s3_args._extra_args["GrantFullControl"] = "email=hello@gmail.com" result = get_copy_args(s3, "hello.json", s3_args, False) self.assertEqual( result, { "Bucket": "hello", "Key": "hello.json", "CopySource": {"Bucket": "hello", "Key": "hello.json"}, "GrantFullControl": "email=hello@gmail.com", "StorageClass": "REDUCED_REDUNDANCY", "ServerSideEncryption": "aws:kms", "SSEKMSKeyId": "arn:aws:kms:ap-southeast-2:11111111:key/11111111-f48d-48b8-90d4-d5bd03a603d4", }, ) # no version, no extra_args s3_client = boto3.client("s3") stubber = Stubber(s3_client) stubber.add_response("get_object", response1) stubber.add_response("get_object_acl", response2) stubber.activate() s3 = S3() s3._client = s3_client s3.bucket_name = "hello" s3_args = S3Args(s3) s3_args._extra_args["GrantFullControl"] = "email=hello@gmail.com" result = get_copy_args(s3, "hello.json", s3_args, True) self.assertEqual( result, { "GrantFullControl": "email=hello@gmail.com", "StorageClass": "REDUCED_REDUNDANCY", "ServerSideEncryption": "aws:kms", "SSEKMSKeyId": "arn:aws:kms:ap-southeast-2:11111111:key/11111111-f48d-48b8-90d4-d5bd03a603d4", }, ) def test_get_copy_args_with_version(self): data_path1 = os.path.join( os.path.dirname(os.path.abspath(__file__)), "../data/s3_obj.json" ) with open(data_path1, "r") as file: response1 = json.load(file) data_path2 = os.path.join( os.path.dirname(os.path.abspath(__file__)), "../data/s3_acl.json" ) with open(data_path2, "r") as file: response2 = json.load(file) # with version s3_client = boto3.client("s3") stubber = Stubber(s3_client) stubber.add_response("get_object", response1) stubber.add_response("get_object_acl", response2) stubber.activate() s3 = S3() s3._client = s3_client s3.bucket_name = "hello" s3_args = S3Args(s3) result = get_copy_args(s3, "hello.json", s3_args, False) self.assertEqual( result, { "Bucket": "hello", "Key": "hello.json", "CopySource": {"Bucket": "hello", "Key": "hello.json"}, "StorageClass": "REDUCED_REDUNDANCY", "ServerSideEncryption": "aws:kms", "SSEKMSKeyId": "arn:aws:kms:ap-southeast-2:11111111:key/11111111-f48d-48b8-90d4-d5bd03a603d4", "GrantRead": "uri=http://acs.amazonaws.com/groups/global/AllUsers", }, )

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a23268aeae84be3b0337173cd5ee60a47bee85ea

5,526

py

Python

utils/scripts/OOOlevelGen/src/levels/MonkeyFace.py

fullscreennl/monkeyswipe

c56192e202674dd5ab18023f6cf14cf51e95fbd0

[ "MIT" ]

null

utils/scripts/OOOlevelGen/src/levels/MonkeyFace.py

fullscreennl/monkeyswipe

c56192e202674dd5ab18023f6cf14cf51e95fbd0

[ "MIT" ]

null

utils/scripts/OOOlevelGen/src/levels/MonkeyFace.py

fullscreennl/monkeyswipe

c56192e202674dd5ab18023f6cf14cf51e95fbd0

[ "MIT" ]

null

import LevelBuilder from sprites import * def render(name,bg): lb = LevelBuilder.LevelBuilder(name+".plist",background=bg) lb.addObject(Friend.FriendSprite(x=105, y=159,width=92,height=92,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Friend')) lb.addObject(Friend.FriendSprite(x=391, y=147,width=92,height=92,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Friend')) lb.addObject(Enemy.EnemySprite(x=254, y=284,width=46,height=46,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Enemy')) lb.addObject(Enemy.EnemySprite(x=216, y=277,width=46,height=46,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('EnemyLeft')) lb.addObject(Enemy.EnemySprite(x=186, y=258,width=46,height=46,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Enemy')) lb.addObject(Enemy.EnemySprite(x=156, y=232,width=46,height=46,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Enemy')) lb.addObject(Enemy.EnemySprite(x=143, y=198,width=46,height=46,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Enemy')) lb.addObject(Enemy.EnemySprite(x=291, y=277,width=46,height=46,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('EnemyRight')) lb.addObject(Enemy.EnemySprite(x=322, y=258,width=46,height=46,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Enemy')) lb.addObject(Enemy.EnemySprite(x=348, y=236,width=46,height=46,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Enemy')) lb.addObject(Enemy.EnemySprite(x=359, y=203,width=46,height=46,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Enemy')) lb.addObject(Enemy.EnemySprite(x=356, y=176,width=46,height=46,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Enemy')) lb.addObject(Enemy.EnemySprite(x=150, y=172,width=46,height=46,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Enemy')) lb.addObject(Enemy.EnemySprite(x=150, y=144,width=31,height=31,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Enemy')) lb.addObject(Enemy.EnemySprite(x=351, y=149,width=31,height=31,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Enemy')) lb.addObject(Friend.FriendSprite(x=155, y=122,width=34,height=34,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Friend')) lb.addObject(Friend.FriendSprite(x=155, y=105,width=34,height=34,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Friend')) lb.addObject(Friend.FriendSprite(x=155, y=88,width=34,height=34,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Friend')) lb.addObject(Friend.FriendSprite(x=173, y=71,width=34,height=34,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Friend')) lb.addObject(Friend.FriendSprite(x=196, y=58,width=34,height=34,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Friend')) lb.addObject(Friend.FriendSprite(x=222, y=46,width=34,height=34,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Friend')) lb.addObject(Friend.FriendSprite(x=251, y=46,width=34,height=34,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Friend')) lb.addObject(Friend.FriendSprite(x=281, y=46,width=34,height=34,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Friend')) lb.addObject(Friend.FriendSprite(x=308, y=62,width=34,height=34,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Friend')) lb.addObject(Friend.FriendSprite(x=325, y=79,width=34,height=34,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Friend')) lb.addObject(Friend.FriendSprite(x=345, y=101,width=34,height=34,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Friend')) lb.addObject(Friend.FriendSprite(x=349, y=122,width=34,height=34,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Friend')) lb.addObject(Hero.HeroSprite(x=230, y=81,width=32,height=32)) lb.addObject(Star.StarSprite(x=229, y=227,width=32,height=32)) lb.addObject(Enemy.EnemySprite(x=250, y=171,width=46,height=46,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Enemy')) lb.addObject(Friend.FriendSprite(x=286, y=126,width=23,height=23,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Friend')) lb.addObject(Friend.FriendSprite(x=270, y=111,width=23,height=23,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Friend')) lb.addObject(Friend.FriendSprite(x=250, y=109,width=23,height=23,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Friend')) lb.addObject(Friend.FriendSprite(x=229, y=115,width=23,height=23,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Friend')) lb.addObject(Friend.FriendSprite(x=210, y=120,width=23,height=23,angle='0',restitution=0.2,static='true',friction=0.5,density=20 ).setName('Friend')) lb.addObject(SpikeyBuddy.SpikeyBuddySprite(x=281, y=227,width=26,height=26,restitution=0.2,static='false',friction=0.5,density=5 )) lb.addObject(Joints.DistanceJoint(body1='Star',body2='EnemyLeft',damping='0.2',freq='5' )) lb.addObject(Joints.DistanceJoint(body1='Spikey',body2='EnemyRight',damping='0.2',freq='1' )) lb.render()

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0.82078

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0

0.111298

0.029316

5,526

1

5,526

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0

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1

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false

0

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null

0

1

0

1

0

null

0

9

a2b8af0f76ddf0b0199cccbd9f343282295295e0

13,062

py

Python

api/authentication/tests/test_views.py

sp-team-lutsk/docker_polls_group

e59aa4d9b0b703e31046460a87a8b14d9e3f3d1e

[ "MIT" ]

null

api/authentication/tests/test_views.py

sp-team-lutsk/docker_polls_group

e59aa4d9b0b703e31046460a87a8b14d9e3f3d1e

[ "MIT" ]

18

2019-06-25T14:37:52.000Z

2019-10-25T21:18:44.000Z

api/authentication/tests/test_views.py

sp-team-lutsk/cyber_security_web_portal

e59aa4d9b0b703e31046460a87a8b14d9e3f3d1e

[ "MIT" ]

2

2019-06-25T12:43:44.000Z

2019-08-21T08:36:44.000Z

import json import nose.tools as nt from nose.tools import nottest from nose.tools.nontrivial import raises from django.urls import reverse from rest_framework import status from rest_framework.test import APITestCase from authentication.models import ( StdUser, Teacher, Faculty) from authentication.serializers import ( UserSerializer, UpdateUserSerializer, BulkUpdateUserSerializer,) from settings.tests import * """ Tests admin access to api methonds """ class TestAdminPermsAPIViews(APITestCase): """ Setup test data """ @classmethod def setUpTestData(cls): cls.user = StdUser.objects.create_user( email=TEST_ADMIN_EMAIL, password=TEST_PASSWORD, user_type=1) def setUp(self): self.t_user = StdUser.objects.create_user( email=TEST_EMAIL2, password=TEST_PASSWORD) self.faculty = Faculty.objects.create(name=TEST_FACULTY) self.teacher = StdUser.objects.create_teacher( email=TEST_TEACHER_EMAIL, password=TEST_PASSWORD, faculty=self.faculty) self.get_token() """ This func helps to get jwt access token many times """ @nottest def get_token(self): url = reverse('obtain_jwt') access_token = self.client.post( url, { "email": self.user.email, "password": TEST_PASSWORD }, format='json').data['access'] self.client.credentials(HTTP_AUTHORIZATION='Bearer ' + access_token) """ Test request to get users list """ def test_get_all_users(self): url = reverse('users_list') response = self.client.get(url) users = StdUser.objects.all() serializer = UserSerializer(users, many=True) nt.assert_equal(response.data, serializer.data) nt.assert_equal(response.status_code, status.HTTP_200_OK) """ Test of creating user """ def test_post_create_user(self): url = reverse('users_list') data = { "email": TEST_EMAIL3, "password": TEST_PASSWORD, } response = self.client.post(url, data, format='json') user = StdUser.objects.get(email=TEST_EMAIL3) nt.assert_equal(response.status_code, status.HTTP_201_CREATED) nt.assert_not_equal(user, None) """ Test get one User """ def test_get_one_user(self): url = reverse('user', args=[self.t_user.id,]) response = self.client.get(url) serializer = UserSerializer(self.t_user) nt.assert_equal(response.data, serializer.data) nt.assert_equal(response.status_code, status.HTTP_200_OK) """ Test get one not existing User """ def test_get_one_which_not_exist(self): url = reverse('user', args=[BAD_USER_ID,]) response = self.client.get(url) nt.assert_equal(response.status_code, status.HTTP_404_NOT_FOUND) """ Test post one user """ def test_post_one_user(self): url = reverse('user', args=[self.t_user.id],) response = self.client.post(url) nt.assert_equal(response.status_code, status.HTTP_405_METHOD_NOT_ALLOWED) """ Tests put update for one user """ def test_put_one_user(self): url = reverse('user', args=[self.t_user.id]) data = { "email": TEST_EMAIL3, "fist_name": TEST_NAME, "last_name": TEST_SURNAME, "patronymic": TEST_PATRONIM, "bio": TEST_BIO, "news_subscription": True } response = self.client.put(url, data, format='json') nt.assert_equal(response.data, NO_SUCH_PERM) """ Tests delete for one user """ def test_delete_one_user(self): url = reverse('user', args=[self.t_user.id]) response = self.client.delete(url) nt.assert_equal(response.data, NO_SUCH_PERM) """ Test get one teacher """ def test_get_one_teacher(self): url = reverse('teacher', args=[self.teacher.id]) serializer = UserSerializer(self.teacher) response = self.client.get(url) nt.assert_equal(serializer.data, response.data) nt.assert_equal(response.status_code, status.HTTP_200_OK) """ Test get one teacher which not exist """ def test_get_one_teacher_which_not_exist(self): url = reverse('teacher', args=[BAD_USER_ID]) response = self.client.get(url) nt.assert_equal(response.status_code, status.HTTP_404_NOT_FOUND) """ Test moderator access to api """ class TestModerPermsAPIViews(TestAdminPermsAPIViews): """ Setup test data """ @classmethod def setUpTestData(cls): cls.user = StdUser.objects.create_user( email=TEST_MODER_EMAIL, password=TEST_PASSWORD, user_type=2) """ Tests users bulk update """ def test_put_bulk_update_users(self): queryset = StdUser.objects.all() serializer = BulkUpdateUserSerializer(queryset, many=True) url = reverse('users_list') data = { "first_name": TEST_NAME, "last_name": TEST_SURNAME } response = self.client.put(url, data, format='json') nt.assert_equal(response.data, serializer.data) nt.assert_equal(response.status_code, status.HTTP_200_OK) """ Tests users bulk delete """ def test_delete_bulk_users(self): url = reverse('users_list') response = self.client.delete(url) nt.assert_equal(response.status_code, status.HTTP_200_OK) """ Tests put update for one user """ def test_put_one_user(self): url = reverse('user', args=[self.t_user.id]) data = { "email": TEST_EMAIL3, "fist_name": TEST_NAME, "last_name": TEST_SURNAME, "patronymic": TEST_PATRONIM, "bio": TEST_BIO, "news_subscription": True } response = self.client.put(url, data, format='json') nt.assert_equal(response.status_code, status.HTTP_200_OK) """ Tests delete for one user """ def test_delete_one_user(self): url = reverse('user', args=[self.t_user.id]) response = self.client.delete(url) nt.assert_equal(response.status_code, status.HTTP_200_OK) """ Not allowed """ def test_post_one_teacher(self): url = reverse('teacher', args=[self.teacher.id]) response = self.client.post(url) nt.assert_equal(response.status_code, status.HTTP_405_METHOD_NOT_ALLOWED) """ Tests active user access to api methonds """ class TestActiveUserPermsAPIViews(TestAdminPermsAPIViews): """ Setup test data """ @classmethod def setUpTestData(cls): cls.user = StdUser.objects.create_user( email=TEST_EMAIL, password=TEST_PASSWORD, user_type=3) cls.user.is_active = True cls.user.save() def setUp(self): self.t_user = StdUser.objects.create_user( email=TEST_EMAIL2, password=TEST_PASSWORD) self.faculty = Faculty.objects.create(name=TEST_FACULTY) self.teacher = StdUser.objects.create_teacher( email=TEST_TEACHER_EMAIL, password=TEST_PASSWORD, faculty=self.faculty) self.get_token() """ Standart user does not have such perms """ def test_get_all_users(self): url = reverse('users_list') response = self.client.get(url) users = StdUser.objects.all() serializer = UserSerializer(users, many=True) nt.assert_equal(response.data, NO_SUCH_PERM) """ Standart user does not have such perms """ def test_get_one_user(self): url = reverse('user', args=[self.t_user.id,]) response = self.client.get(url) serializer = UserSerializer(self.t_user) nt.assert_equal(response.data, NO_SUCH_PERM) """ Standart user does not have such perms """ def test_get_one_which_not_exist(self): url = reverse('user', args=[BAD_USER_ID,]) response = self.client.get(url) nt.assert_equal(response.data, NO_SUCH_PERM) """ Tests put update for one user """ def test_put_one_user(self): url = reverse('user', args=[self.t_user.id]) data = { "email": TEST_EMAIL3, "fist_name": TEST_NAME, "last_name": TEST_SURNAME, "patronymic": TEST_PATRONIM, "bio": TEST_BIO, "news_subscription": True } response = self.client.put(url, data, format='json') nt.assert_equal(response.status_code, status.HTTP_200_OK) """ Tests delete for one user """ def test_delete_one_user(self): url = reverse('user', args=[self.t_user.id]) response = self.client.delete(url) nt.assert_equal(response.status_code, status.HTTP_200_OK) """ No such perm """ def test_get_one_teacher(self): url = reverse('teacher', args=[self.teacher.id]) response = self.client.get(url) nt.assert_equal(response.data, NO_SUCH_PERM) nt.assert_equal(response.status_code, status.HTTP_200_OK) """ No such perm """ @raises(StdUser.DoesNotExist) def test_get_one_teacher_which_not_exist(self): url = reverse('teacher', args=[BAD_USER_ID]) response = self.client.get(url) """ Tests inactive users access to api methods """ class TestInactiveUserPermsAPIViews(TestAdminPermsAPIViews): """ Setup test data """ @classmethod def setUpTestData(cls): cls.user = StdUser.objects.create_user( email=TEST_EMAIL, password=TEST_PASSWORD,) """ Turn off setup from parent """ def setUp(self): self.t_user = StdUser.objects.create_user( email=TEST_EMAIL2, password=TEST_PASSWORD) self.faculty = Faculty.objects.create(name=TEST_FACULTY) self.teacher = StdUser.objects.create_teacher( email=TEST_TEACHER_EMAIL, password=TEST_PASSWORD, faculty=self.faculty) """ Standart user does not have such perms, so it will raise KeyError """ @raises(KeyError) def test_get_all_users(self): self.get_token() super().test_get_all_users() """ StdUser must be active """ @raises(KeyError) def test_post_create_user(self): self.get_token() super().test_post_create_user() """ Must be active """ @raises(KeyError) def test_get_one_user(self): self.get_token() super.test_get_one_user() """ Must be active """ @raises(KeyError) def test_get_one_which_not_exist(self): self.get_token() super.test_get_one_which_not_exist() """ Must be active """ @raises(KeyError) def test_put_one_user(self): self.get_token() super.test_get_one_which_not_exist() """ Must be active """ @raises(KeyError) def test_delete_one_user(self): self.get_token() super.test_delete_one_user() """ Must be active """ @raises(KeyError) def test_get_one_teacher(self): self.get_token() super.test_get_one_teacher() """ Must be active """ @raises(KeyError) def test_get_one_teacher_which_not_exist(self): self.get_token() super.test_get_one_teacher_which_not_exist() """ Tests API of all user list """ class TestJWTToken(APITestCase): """ Setup test data """ @classmethod def setUpTestData(cls): cls.admin = StdUser.objects.create_user( email=TEST_ADMIN_EMAIL, password=TEST_PASSWORD, user_type=1) """ Test jwt obtain """ def test_obtain_refresh_jwt_token(self): url = reverse('obtain_jwt') data = { "email": TEST_ADMIN_EMAIL, "password": TEST_PASSWORD, } response = self.client.post(url, data, format='json') """ Testing if token in response """ nt.assert_equal(response.status_code, status.HTTP_200_OK) nt.assert_true('access' in response.data) nt.assert_true('refresh' in response.data) access_token = response.data['access'] refresh_token = response.data['refresh'] data = { "refresh": refresh_token } url = reverse('refresh_jwt') response = self.client.post(url, data, format='json') """ Testing for new access token getting """ nt.assert_equal(response.status_code, status.HTTP_200_OK) nt.assert_true('access' in response.data)

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0.143382

false

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0c320b3ad3e28a62e405af1d6de47cff087d6ef6

48,351

py

Python

minixsv/xsvalUtils.py

djhenderson/minixsv

fdf7cbfbff711da6db4ae6d5ca0b4796d99ee9eb

[ "MIT" ]

null

minixsv/xsvalUtils.py

djhenderson/minixsv

fdf7cbfbff711da6db4ae6d5ca0b4796d99ee9eb

[ "MIT" ]

null

minixsv/xsvalUtils.py

djhenderson/minixsv

fdf7cbfbff711da6db4ae6d5ca0b4796d99ee9eb

[ "MIT" ]

null

# # minixsv, Release 0.9.1 # file: xsvalUtils.py # # utility functions for XML schema validation # # history: # 2008-02-13 rl created # # Copyright (c) 2004-2015 by Roland Leuthe. All rights reserved. # # -------------------------------------------------------------------- # The minixsv XML schema validator is # # Copyright (c) 2004-2015 by Roland Leuthe # # By obtaining, using, and/or copying this software and/or its # associated documentation, you agree that you have read, understood, # and will comply with the following terms and conditions: # # Permission to use, copy, modify, and distribute this software and # its associated documentation for any purpose and without fee is # hereby granted, provided that the above copyright notice appears in # all copies, and that both that copyright notice and this permission # notice appear in supporting documentation, and that the name of # the author not be used in advertising or publicity # pertaining to distribution of the software without specific, written # prior permission. # # THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD # TO THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANT- # ABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR # BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY # DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, # WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS # ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE # OF THIS SOFTWARE. # -------------------------------------------------------------------- import string import re creWithinSet = re.compile(r"(^|.*[^\\])(?P<obr>\[)[^\]]*\Z") creMultiCharEscP = re.compile(r"(?P<pbs>\\*)(?P<escSeq>(?P<inv>[\^])?\\(?P<pP>[pP]){(?P<id>[^}]*)})") substMultiCharEscPDict = { r"Cc" : ur"\x00-\x1f\x7f-\x9f", r"Cf" : ur"\u06dd\u070f\u180e\u200c-\u200f\u202a-\u202e\u2060-\u2063\u206a-\u206f\ufeff\ufff9-\ufffb", r"Co" : ur"\ue000-\uf8ff", r"Cn" : ur"\ufdd0-\ufdef\ufffe\uffff", r"Cs" : ur"\ud800-\udfff", r"C" : ur"\x00-\x1f\x7f-\x9f\u06dd\u070f\u180e\u200c-\u200f\u202a-\u202e\u2060-\u2063\u206a-\u206f\ud800-\uf8ff\ufeff\ufff9-\ufffb", r"Ll" : ur"a-z\xaa\xb5\xba\xdf-\xf6\xf8-\xff\u0101\u0103\u0105\u0107\u0109\u010b\u010d\u010f\u0111\u0113\u0115\u0117\u0119\u011b\u011d\u011f\u0121\u0123\u0125\u0127\u0129\u012b\u012d\u012f\u0131\u0133\u0135\u0137-\u0138\u013a\u013c\u013e\u0140\u0142\u0144\u0146\u0148-\u0149\u014b\u014d\u014f\u0151\u0153\u0155\u0157\u0159\u015b\u015d\u015f\u0161\u0163\u0165\u0167\u0169\u016b\u016d\u016f\u0171\u0173\u0175\u0177\u017a\u017c\u017e-\u0180\u0183\u0185\u0188\u018c-\u018d\u0192\u0195\u0199-\u019b\u019e\u01a1\u01a3\u01a5\u01a8\u01aa-\u01ab\u01ad\u01b0\u01b4\u01b6\u01b9-\u01ba\u01bd-\u01bf\u01c6\u01c9\u01cc\u01ce\u01d0\u01d2\u01d4\u01d6\u01d8\u01da\u01dc-\u01dd\u01df\u01e1\u01e3\u01e5\u01e7\u01e9\u01eb\u01ed\u01ef-\u01f0\u01f3\u01f5\u01f9\u01fb\u01fd\u01ff\u0201\u0203\u0205\u0207\u0209\u020b\u020d\u020f\u0211\u0213\u0215\u0217\u0219\u021b\u021d\u021f\u0223\u0225\u0227\u0229\u022b\u022d\u022f\u0231\u0233\u0250-\u02ad\u0390\u03ac-\u03ce\u03d0-\u03d1\u03d5-\u03d7\u03d9\u03db\u03dd\u03df\u03e1\u03e3\u03e5\u03e7\u03e9\u03eb\u03ed\u03ef-\u03f3\u03f5\u0430-\u045f\u0461\u0463\u0465\u0467\u0469\u046b\u046d\u046f\u0471\u0473\u0475\u0477\u0479\u047b\u047d\u047f\u0481\u048b\u048d\u048f\u0491\u0493\u0495\u0497\u0499\u049b\u049d\u049f\u04a1\u04a3\u04a5\u04a7\u04a9\u04ab\u04ad\u04af\u04b1\u04b3\u04b5\u04b7\u04b9\u04bb\u04bd\u04bf\u04c2\u04c4\u04c6\u04c8\u04ca\u04cc\u04ce\u04d1\u04d3\u04d5\u04d7\u04d9\u04db\u04dd\u04df\u04e1\u04e3\u04e5\u04e7\u04e9\u04eb\u04ed\u04ef\u04f1\u04f3\u04f5\u04f9\u0501\u0503\u0505\u0507\u0509\u050b\u050d\u050f\u0561-\u0587\u1e01\u1e03\u1e05\u1e07\u1e09\u1e0b\u1e0d\u1e0f\u1e11\u1e13\u1e15\u1e17\u1e19\u1e1b\u1e1d\u1e1f\u1e21\u1e23\u1e25\u1e27\u1e29\u1e2b\u1e2d\u1e2f\u1e31\u1e33\u1e35\u1e37\u1e39\u1e3b\u1e3d\u1e3f\u1e41\u1e43\u1e45\u1e47\u1e49\u1e4b\u1e4d\u1e4f\u1e51\u1e53\u1e55\u1e57\u1e59\u1e5b\u1e5d\u1e5f\u1e61\u1e63\u1e65\u1e67\u1e69\u1e6b\u1e6d\u1e6f\u1e71\u1e73\u1e75\u1e77\u1e79\u1e7b\u1e7d\u1e7f\u1e81\u1e83\u1e85\u1e87\u1e89\u1e8b\u1e8d\u1e8f\u1e91\u1e93\u1e95-\u1e9b\u1ea1\u1ea3\u1ea5\u1ea7\u1ea9\u1eab\u1ead\u1eaf\u1eb1\u1eb3\u1eb5\u1eb7\u1eb9\u1ebb\u1ebd\u1ebf\u1ec1\u1ec3\u1ec5\u1ec7\u1ec9\u1ecb\u1ecd\u1ecf\u1ed1\u1ed3\u1ed5\u1ed7\u1ed9\u1edb\u1edd\u1edf\u1ee1\u1ee3\u1ee5\u1ee7\u1ee9\u1eeb\u1eed\u1eef\u1ef1\u1ef3\u1ef5\u1ef7\u1ef9\u1f00-\u1f07\u1f10-\u1f15\u1f20-\u1f27\u1f30-\u1f37\u1f40-\u1f45\u1f50-\u1f57\u1f60-\u1f67\u1f70-\u1f7d\u1f80-\u1f87\u1f90-\u1f97\u1fa0-\u1fa7\u1fb0-\u1fb4\u1fb6-\u1fb7\u1fbe\u1fc2-\u1fc4\u1fc6-\u1fc7\u1fd0-\u1fd3\u1fd6-\u1fd7\u1fe0-\u1fe7\u1ff2-\u1ff4\u1ff6-\u1ff7\u2071\u207f\u210a\u210e-\u210f\u2113\u212f\u2134\u2139\u213d\u2146-\u2149\ufb00-\ufb06\ufb13-\ufb17\uff41-\uff5a", r"Lm" : ur"\u02b0-\u02b8\u02bb-\u02c1\u02d0-\u02d1\u02e0-\u02e4\u02ee\u037a\u0559\u0640\u06e5-\u06e6\u0e46\u0ec6\u17d7\u1843\u3005\u3031-\u3035\u303b\u309d-\u309e\u30fc-\u30fe\uff70\uff9e-\uff9f", r"Lo" : ur"\u01bb\u01c0-\u01c3\u05d0-\u05ea\u05f0-\u05f2\u0621-\u063a\u0641-\u064a\u066e-\u066f\u0671-\u06d3\u06d5\u06fa-\u06fc\u0710\u0712-\u072c\u0780-\u07a5\u07b1\u0905-\u0939\u093d\u0950\u0958-\u0961\u0985-\u098c\u098f-\u0990\u0993-\u09a8\u09aa-\u09b0\u09b2\u09b6-\u09b9\u09dc-\u09dd\u09df-\u09e1\u09f0-\u09f1\u0a05-\u0a0a\u0a0f-\u0a10\u0a13-\u0a28\u0a2a-\u0a30\u0a32-\u0a33\u0a35-\u0a36\u0a38-\u0a39\u0a59-\u0a5c\u0a5e\u0a72-\u0a74\u0a85-\u0a8b\u0a8d\u0a8f-\u0a91\u0a93-\u0aa8\u0aaa-\u0ab0\u0ab2-\u0ab3\u0ab5-\u0ab9\u0abd\u0ad0\u0ae0\u0b05-\u0b0c\u0b0f-\u0b10\u0b13-\u0b28\u0b2a-\u0b30\u0b32-\u0b33\u0b36-\u0b39\u0b3d\u0b5c-\u0b5d\u0b5f-\u0b61\u0b83\u0b85-\u0b8a\u0b8e-\u0b90\u0b92-\u0b95\u0b99-\u0b9a\u0b9c\u0b9e-\u0b9f\u0ba3-\u0ba4\u0ba8-\u0baa\u0bae-\u0bb5\u0bb7-\u0bb9\u0c05-\u0c0c\u0c0e-\u0c10\u0c12-\u0c28\u0c2a-\u0c33\u0c35-\u0c39\u0c60-\u0c61\u0c85-\u0c8c\u0c8e-\u0c90\u0c92-\u0ca8\u0caa-\u0cb3\u0cb5-\u0cb9\u0cde\u0ce0-\u0ce1\u0d05-\u0d0c\u0d0e-\u0d10\u0d12-\u0d28\u0d2a-\u0d39\u0d60-\u0d61\u0d85-\u0d96\u0d9a-\u0db1\u0db3-\u0dbb\u0dbd\u0dc0-\u0dc6\u0e01-\u0e30\u0e32-\u0e33\u0e40-\u0e45\u0e81-\u0e82\u0e84\u0e87-\u0e88\u0e8a\u0e8d\u0e94-\u0e97\u0e99-\u0e9f\u0ea1-\u0ea3\u0ea5\u0ea7\u0eaa-\u0eab\u0ead-\u0eb0\u0eb2-\u0eb3\u0ebd\u0ec0-\u0ec4\u0edc-\u0edd\u0f00\u0f40-\u0f47\u0f49-\u0f6a\u0f88-\u0f8b\u1000-\u1021\u1023-\u1027\u1029-\u102a\u1050-\u1055\u10d0-\u10f8\u1100-\u1159\u115f-\u11a2\u11a8-\u11f9\u1200-\u1206\u1208-\u1246\u1248\u124a-\u124d\u1250-\u1256\u1258\u125a-\u125d\u1260-\u1286\u1288\u128a-\u128d\u1290-\u12ae\u12b0\u12b2-\u12b5\u12b8-\u12be\u12c0\u12c2-\u12c5\u12c8-\u12ce\u12d0-\u12d6\u12d8-\u12ee\u12f0-\u130e\u1310\u1312-\u1315\u1318-\u131e\u1320-\u1346\u1348-\u135a\u13a0-\u13f4\u1401-\u166c\u166f-\u1676\u1681-\u169a\u16a0-\u16ea\u1700-\u170c\u170e-\u1711\u1720-\u1731\u1740-\u1751\u1760-\u176c\u176e-\u1770\u1780-\u17b3\u17dc\u1820-\u1842\u1844-\u1877\u1880-\u18a8\u2135-\u2138\u3006\u303c\u3041-\u3096\u309f\u30a1-\u30fa\u30ff\u3105-\u312c\u3131-\u318e\u31a0-\u31b7\u31f0-\u31ff\u3400-\u4db5\u4e00-\u9fa5\ua000-\ua48c\uac00-\ud7a3\uf900-\ufa2d\ufa30-\ufa6a\ufb1d\ufb1f-\ufb28\ufb2a-\ufb36\ufb38-\ufb3c\ufb3e\ufb40-\ufb41\ufb43-\ufb44\ufb46-\ufbb1\ufbd3-\ufd3d\ufd50-\ufd8f\ufd92-\ufdc7\ufdf0-\ufdfb\ufe70-\ufe74\ufe76-\ufefc\uff66-\uff6f\uff71-\uff9d\uffa0-\uffbe\uffc2-\uffc7\uffca-\uffcf\uffd2-\uffd7\uffda-\uffdc", r"Lt" : ur"\u01c5\u01c8\u01cb\u01f2\u1f88-\u1f8f\u1f98-\u1f9f\u1fa8-\u1faf\u1fbc\u1fcc\u1ffc", r"Lu" : ur"A-Z\xc0-\xd6\xd8-\xde\u0100\u0102\u0104\u0106\u0108\u010a\u010c\u010e\u0110\u0112\u0114\u0116\u0118\u011a\u011c\u011e\u0120\u0122\u0124\u0126\u0128\u012a\u012c\u012e\u0130\u0132\u0134\u0136\u0139\u013b\u013d\u013f\u0141\u0143\u0145\u0147\u014a\u014c\u014e\u0150\u0152\u0154\u0156\u0158\u015a\u015c\u015e\u0160\u0162\u0164\u0166\u0168\u016a\u016c\u016e\u0170\u0172\u0174\u0176\u0178-\u0179\u017b\u017d\u0181-\u0182\u0184\u0186-\u0187\u0189-\u018b\u018e-\u0191\u0193-\u0194\u0196-\u0198\u019c-\u019d\u019f-\u01a0\u01a2\u01a4\u01a6-\u01a7\u01a9\u01ac\u01ae-\u01af\u01b1-\u01b3\u01b5\u01b7-\u01b8\u01bc\u01c4\u01c7\u01ca\u01cd\u01cf\u01d1\u01d3\u01d5\u01d7\u01d9\u01db\u01de\u01e0\u01e2\u01e4\u01e6\u01e8\u01ea\u01ec\u01ee\u01f1\u01f4\u01f6-\u01f8\u01fa\u01fc\u01fe\u0200\u0202\u0204\u0206\u0208\u020a\u020c\u020e\u0210\u0212\u0214\u0216\u0218\u021a\u021c\u021e\u0220\u0222\u0224\u0226\u0228\u022a\u022c\u022e\u0230\u0232\u0386\u0388-\u038a\u038c\u038e-\u038f\u0391-\u03a1\u03a3-\u03ab\u03d2-\u03d4\u03d8\u03da\u03dc\u03de\u03e0\u03e2\u03e4\u03e6\u03e8\u03ea\u03ec\u03ee\u03f4\u0400-\u042f\u0460\u0462\u0464\u0466\u0468\u046a\u046c\u046e\u0470\u0472\u0474\u0476\u0478\u047a\u047c\u047e\u0480\u048a\u048c\u048e\u0490\u0492\u0494\u0496\u0498\u049a\u049c\u049e\u04a0\u04a2\u04a4\u04a6\u04a8\u04aa\u04ac\u04ae\u04b0\u04b2\u04b4\u04b6\u04b8\u04ba\u04bc\u04be\u04c0-\u04c1\u04c3\u04c5\u04c7\u04c9\u04cb\u04cd\u04d0\u04d2\u04d4\u04d6\u04d8\u04da\u04dc\u04de\u04e0\u04e2\u04e4\u04e6\u04e8\u04ea\u04ec\u04ee\u04f0\u04f2\u04f4\u04f8\u0500\u0502\u0504\u0506\u0508\u050a\u050c\u050e\u0531-\u0556\u10a0-\u10c5\u1e00\u1e02\u1e04\u1e06\u1e08\u1e0a\u1e0c\u1e0e\u1e10\u1e12\u1e14\u1e16\u1e18\u1e1a\u1e1c\u1e1e\u1e20\u1e22\u1e24\u1e26\u1e28\u1e2a\u1e2c\u1e2e\u1e30\u1e32\u1e34\u1e36\u1e38\u1e3a\u1e3c\u1e3e\u1e40\u1e42\u1e44\u1e46\u1e48\u1e4a\u1e4c\u1e4e\u1e50\u1e52\u1e54\u1e56\u1e58\u1e5a\u1e5c\u1e5e\u1e60\u1e62\u1e64\u1e66\u1e68\u1e6a\u1e6c\u1e6e\u1e70\u1e72\u1e74\u1e76\u1e78\u1e7a\u1e7c\u1e7e\u1e80\u1e82\u1e84\u1e86\u1e88\u1e8a\u1e8c\u1e8e\u1e90\u1e92\u1e94\u1ea0\u1ea2\u1ea4\u1ea6\u1ea8\u1eaa\u1eac\u1eae\u1eb0\u1eb2\u1eb4\u1eb6\u1eb8\u1eba\u1ebc\u1ebe\u1ec0\u1ec2\u1ec4\u1ec6\u1ec8\u1eca\u1ecc\u1ece\u1ed0\u1ed2\u1ed4\u1ed6\u1ed8\u1eda\u1edc\u1ede\u1ee0\u1ee2\u1ee4\u1ee6\u1ee8\u1eea\u1eec\u1eee\u1ef0\u1ef2\u1ef4\u1ef6\u1ef8\u1f08-\u1f0f\u1f18-\u1f1d\u1f28-\u1f2f\u1f38-\u1f3f\u1f48-\u1f4d\u1f59\u1f5b\u1f5d\u1f5f\u1f68-\u1f6f\u1fb8-\u1fbb\u1fc8-\u1fcb\u1fd8-\u1fdb\u1fe8-\u1fec\u1ff8-\u1ffb\u2102\u2107\u210b-\u210d\u2110-\u2112\u2115\u2119-\u211d\u2124\u2126\u2128\u212a-\u212d\u2130-\u2131\u2133\u213e-\u213f\u2145\uff21-\uff3a", r"L" : ur"A-Za-z\xaa\xb5\xba\xc0-\xd6\xd8-\xf6\xf8-\u0220\u0222-\u0233\u0250-\u02ad\u02b0-\u02b8\u02bb-\u02c1\u02d0-\u02d1\u02e0-\u02e4\u02ee\u037a\u0386\u0388-\u038a\u038c\u038e-\u03a1\u03a3-\u03ce\u03d0-\u03f5\u0400-\u0481\u048a-\u04ce\u04d0-\u04f5\u04f8-\u04f9\u0500-\u050f\u0531-\u0556\u0559\u0561-\u0587\u05d0-\u05ea\u05f0-\u05f2\u0621-\u063a\u0640-\u064a\u066e-\u066f\u0671-\u06d3\u06d5\u06e5-\u06e6\u06fa-\u06fc\u0710\u0712-\u072c\u0780-\u07a5\u07b1\u0905-\u0939\u093d\u0950\u0958-\u0961\u0985-\u098c\u098f-\u0990\u0993-\u09a8\u09aa-\u09b0\u09b2\u09b6-\u09b9\u09dc-\u09dd\u09df-\u09e1\u09f0-\u09f1\u0a05-\u0a0a\u0a0f-\u0a10\u0a13-\u0a28\u0a2a-\u0a30\u0a32-\u0a33\u0a35-\u0a36\u0a38-\u0a39\u0a59-\u0a5c\u0a5e\u0a72-\u0a74\u0a85-\u0a8b\u0a8d\u0a8f-\u0a91\u0a93-\u0aa8\u0aaa-\u0ab0\u0ab2-\u0ab3\u0ab5-\u0ab9\u0abd\u0ad0\u0ae0\u0b05-\u0b0c\u0b0f-\u0b10\u0b13-\u0b28\u0b2a-\u0b30\u0b32-\u0b33\u0b36-\u0b39\u0b3d\u0b5c-\u0b5d\u0b5f-\u0b61\u0b83\u0b85-\u0b8a\u0b8e-\u0b90\u0b92-\u0b95\u0b99-\u0b9a\u0b9c\u0b9e-\u0b9f\u0ba3-\u0ba4\u0ba8-\u0baa\u0bae-\u0bb5\u0bb7-\u0bb9\u0c05-\u0c0c\u0c0e-\u0c10\u0c12-\u0c28\u0c2a-\u0c33\u0c35-\u0c39\u0c60-\u0c61\u0c85-\u0c8c\u0c8e-\u0c90\u0c92-\u0ca8\u0caa-\u0cb3\u0cb5-\u0cb9\u0cde\u0ce0-\u0ce1\u0d05-\u0d0c\u0d0e-\u0d10\u0d12-\u0d28\u0d2a-\u0d39\u0d60-\u0d61\u0d85-\u0d96\u0d9a-\u0db1\u0db3-\u0dbb\u0dbd\u0dc0-\u0dc6\u0e01-\u0e30\u0e32-\u0e33\u0e40-\u0e46\u0e81-\u0e82\u0e84\u0e87-\u0e88\u0e8a\u0e8d\u0e94-\u0e97\u0e99-\u0e9f\u0ea1-\u0ea3\u0ea5\u0ea7\u0eaa-\u0eab\u0ead-\u0eb0\u0eb2-\u0eb3\u0ebd\u0ec0-\u0ec4\u0ec6\u0edc-\u0edd\u0f00\u0f40-\u0f47\u0f49-\u0f6a\u0f88-\u0f8b\u1000-\u1021\u1023-\u1027\u1029-\u102a\u1050-\u1055\u10a0-\u10c5\u10d0-\u10f8\u1100-\u1159\u115f-\u11a2\u11a8-\u11f9\u1200-\u1206\u1208-\u1246\u1248\u124a-\u124d\u1250-\u1256\u1258\u125a-\u125d\u1260-\u1286\u1288\u128a-\u128d\u1290-\u12ae\u12b0\u12b2-\u12b5\u12b8-\u12be\u12c0\u12c2-\u12c5\u12c8-\u12ce\u12d0-\u12d6\u12d8-\u12ee\u12f0-\u130e\u1310\u1312-\u1315\u1318-\u131e\u1320-\u1346\u1348-\u135a\u13a0-\u13f4\u1401-\u166c\u166f-\u1676\u1681-\u169a\u16a0-\u16ea\u1700-\u170c\u170e-\u1711\u1720-\u1731\u1740-\u1751\u1760-\u176c\u176e-\u1770\u1780-\u17b3\u17d7\u17dc\u1820-\u1877\u1880-\u18a8\u1e00-\u1e9b\u1ea0-\u1ef9\u1f00-\u1f15\u1f18-\u1f1d\u1f20-\u1f45\u1f48-\u1f4d\u1f50-\u1f57\u1f59\u1f5b\u1f5d\u1f5f-\u1f7d\u1f80-\u1fb4\u1fb6-\u1fbc\u1fbe\u1fc2-\u1fc4\u1fc6-\u1fcc\u1fd0-\u1fd3\u1fd6-\u1fdb\u1fe0-\u1fec\u1ff2-\u1ff4\u1ff6-\u1ffc\u2071\u207f\u2102\u2107\u210a-\u2113\u2115\u2119-\u211d\u2124\u2126\u2128\u212a-\u212d\u212f-\u2131\u2133-\u2139\u213d-\u213f\u2145-\u2149\u3005-\u3006\u3031-\u3035\u303b-\u303c\u3041-\u3096\u309d-\u309f\u30a1-\u30fa\u30fc-\u30ff\u3105-\u312c\u3131-\u318e\u31a0-\u31b7\u31f0-\u31ff\u3400-\u4db5\u4e00-\u9fa5\ua000-\ua48c\uac00-\ud7a3\uf900-\ufa2d\ufa30-\ufa6a\ufb00-\ufb06\ufb13-\ufb17\ufb1d\ufb1f-\ufb28\ufb2a-\ufb36\ufb38-\ufb3c\ufb3e\ufb40-\ufb41\ufb43-\ufb44\ufb46-\ufbb1\ufbd3-\ufd3d\ufd50-\ufd8f\ufd92-\ufdc7\ufdf0-\ufdfb\ufe70-\ufe74\ufe76-\ufefc\uff21-\uff3a\uff41-\uff5a\uff66-\uffbe\uffc2-\uffc7\uffca-\uffcf\uffd2-\uffd7\uffda-\uffdc", r"Mc" : ur"\u0903\u093e-\u0940\u0949-\u094c\u0982-\u0983\u09be-\u09c0\u09c7-\u09c8\u09cb-\u09cc\u09d7\u0a3e-\u0a40\u0a83\u0abe-\u0ac0\u0ac9\u0acb-\u0acc\u0b02-\u0b03\u0b3e\u0b40\u0b47-\u0b48\u0b4b-\u0b4c\u0b57\u0bbe-\u0bbf\u0bc1-\u0bc2\u0bc6-\u0bc8\u0bca-\u0bcc\u0bd7\u0c01-\u0c03\u0c41-\u0c44\u0c82-\u0c83\u0cbe\u0cc0-\u0cc4\u0cc7-\u0cc8\u0cca-\u0ccb\u0cd5-\u0cd6\u0d02-\u0d03\u0d3e-\u0d40\u0d46-\u0d48\u0d4a-\u0d4c\u0d57\u0d82-\u0d83\u0dcf-\u0dd1\u0dd8-\u0ddf\u0df2-\u0df3\u0f3e-\u0f3f\u0f7f\u102c\u1031\u1038\u1056-\u1057\u17b4-\u17b6\u17be-\u17c5\u17c7-\u17c8", r"Me" : ur"\u0488-\u0489\u06de\u20dd-\u20e0\u20e2-\u20e4", r"Mn" : ur"\u0300-\u034f\u0360-\u036f\u0483-\u0486\u0591-\u05a1\u05a3-\u05b9\u05bb-\u05bd\u05bf\u05c1-\u05c2\u05c4\u064b-\u0655\u0670\u06d6-\u06dc\u06df-\u06e4\u06e7-\u06e8\u06ea-\u06ed\u0711\u0730-\u074a\u07a6-\u07b0\u0901-\u0902\u093c\u0941-\u0948\u094d\u0951-\u0954\u0962-\u0963\u0981\u09bc\u09c1-\u09c4\u09cd\u09e2-\u09e3\u0a02\u0a3c\u0a41-\u0a42\u0a47-\u0a48\u0a4b-\u0a4d\u0a70-\u0a71\u0a81-\u0a82\u0abc\u0ac1-\u0ac5\u0ac7-\u0ac8\u0acd\u0b01\u0b3c\u0b3f\u0b41-\u0b43\u0b4d\u0b56\u0b82\u0bc0\u0bcd\u0c3e-\u0c40\u0c46-\u0c48\u0c4a-\u0c4d\u0c55-\u0c56\u0cbf\u0cc6\u0ccc-\u0ccd\u0d41-\u0d43\u0d4d\u0dca\u0dd2-\u0dd4\u0dd6\u0e31\u0e34-\u0e3a\u0e47-\u0e4e\u0eb1\u0eb4-\u0eb9\u0ebb-\u0ebc\u0ec8-\u0ecd\u0f18-\u0f19\u0f35\u0f37\u0f39\u0f71-\u0f7e\u0f80-\u0f84\u0f86-\u0f87\u0f90-\u0f97\u0f99-\u0fbc\u0fc6\u102d-\u1030\u1032\u1036-\u1037\u1039\u1058-\u1059\u1712-\u1714\u1732-\u1734\u1752-\u1753\u1772-\u1773\u17b7-\u17bd\u17c6\u17c9-\u17d3\u180b-\u180d\u18a9\u20d0-\u20dc\u20e1\u20e5-\u20ea\u302a-\u302f\u3099-\u309a\ufb1e\ufe00-\ufe0f\ufe20-\ufe23", r"M" : ur"\u0300-\u034f\u0360-\u036f\u0483-\u0486\u0488-\u0489\u0591-\u05a1\u05a3-\u05b9\u05bb-\u05bd\u05bf\u05c1-\u05c2\u05c4\u064b-\u0655\u0670\u06d6-\u06dc\u06de-\u06e4\u06e7-\u06e8\u06ea-\u06ed\u0711\u0730-\u074a\u07a6-\u07b0\u0901-\u0903\u093c\u093e-\u094d\u0951-\u0954\u0962-\u0963\u0981-\u0983\u09bc\u09be-\u09c4\u09c7-\u09c8\u09cb-\u09cd\u09d7\u09e2-\u09e3\u0a02\u0a3c\u0a3e-\u0a42\u0a47-\u0a48\u0a4b-\u0a4d\u0a70-\u0a71\u0a81-\u0a83\u0abc\u0abe-\u0ac5\u0ac7-\u0ac9\u0acb-\u0acd\u0b01-\u0b03\u0b3c\u0b3e-\u0b43\u0b47-\u0b48\u0b4b-\u0b4d\u0b56-\u0b57\u0b82\u0bbe-\u0bc2\u0bc6-\u0bc8\u0bca-\u0bcd\u0bd7\u0c01-\u0c03\u0c3e-\u0c44\u0c46-\u0c48\u0c4a-\u0c4d\u0c55-\u0c56\u0c82-\u0c83\u0cbe-\u0cc4\u0cc6-\u0cc8\u0cca-\u0ccd\u0cd5-\u0cd6\u0d02-\u0d03\u0d3e-\u0d43\u0d46-\u0d48\u0d4a-\u0d4d\u0d57\u0d82-\u0d83\u0dca\u0dcf-\u0dd4\u0dd6\u0dd8-\u0ddf\u0df2-\u0df3\u0e31\u0e34-\u0e3a\u0e47-\u0e4e\u0eb1\u0eb4-\u0eb9\u0ebb-\u0ebc\u0ec8-\u0ecd\u0f18-\u0f19\u0f35\u0f37\u0f39\u0f3e-\u0f3f\u0f71-\u0f84\u0f86-\u0f87\u0f90-\u0f97\u0f99-\u0fbc\u0fc6\u102c-\u1032\u1036-\u1039\u1056-\u1059\u1712-\u1714\u1732-\u1734\u1752-\u1753\u1772-\u1773\u17b4-\u17d3\u180b-\u180d\u18a9\u20d0-\u20ea\u302a-\u302f\u3099-\u309a\ufb1e\ufe00-\ufe0f\ufe20-\ufe23", r"Nd" : ur"0-9\u0660-\u0669\u06f0-\u06f9\u0966-\u096f\u09e6-\u09ef\u0a66-\u0a6f\u0ae6-\u0aef\u0b66-\u0b6f\u0be7-\u0bef\u0c66-\u0c6f\u0ce6-\u0cef\u0d66-\u0d6f\u0e50-\u0e59\u0ed0-\u0ed9\u0f20-\u0f29\u1040-\u1049\u1369-\u1371\u17e0-\u17e9\u1810-\u1819\uff10-\uff19", r"Nl" : ur"\u16ee-\u16f0\u2160-\u2183\u3007\u3021-\u3029\u3038-\u303a", r"No" : ur"\xb2-\xb3\xb9\xbc-\xbe\u09f4-\u09f9\u0bf0-\u0bf2\u0f2a-\u0f33\u1372-\u137c\u2070\u2074-\u2079\u2080-\u2089\u2153-\u215f\u2460-\u249b\u24ea-\u24fe\u2776-\u2793\u3192-\u3195\u3220-\u3229\u3251-\u325f\u3280-\u3289\u32b1-\u32bf", r"N" : ur"0-9\xb2-\xb3\xb9\xbc-\xbe\u0660-\u0669\u06f0-\u06f9\u0966-\u096f\u09e6-\u09ef\u09f4-\u09f9\u0a66-\u0a6f\u0ae6-\u0aef\u0b66-\u0b6f\u0be7-\u0bf2\u0c66-\u0c6f\u0ce6-\u0cef\u0d66-\u0d6f\u0e50-\u0e59\u0ed0-\u0ed9\u0f20-\u0f33\u1040-\u1049\u1369-\u137c\u16ee-\u16f0\u17e0-\u17e9\u1810-\u1819\u2070\u2074-\u2079\u2080-\u2089\u2153-\u2183\u2460-\u249b\u24ea-\u24fe\u2776-\u2793\u3007\u3021-\u3029\u3038-\u303a\u3192-\u3195\u3220-\u3229\u3251-\u325f\u3280-\u3289\u32b1-\u32bf\uff10-\uff19", r"Pc" : ur"_\u203f-\u2040\u30fb\ufe33-\ufe34\ufe4d-\ufe4f\uff3f\uff65", r"Pd" : ur"-\xad\u058a\u1806\u2010-\u2015\u301c\u3030\u30a0\ufe31-\ufe32\ufe58\ufe63\uff0d", r"Pe" : ur")\]}\u0f3b\u0f3d\u169c\u2046\u207e\u208e\u232a\u23b5\u2769\u276b\u276d\u276f\u2771\u2773\u2775\u27e7\u27e9\u27eb\u2984\u2986\u2988\u298a\u298c\u298e\u2990\u2992\u2994\u2996\u2998\u29d9\u29db\u29fd\u3009\u300b\u300d\u300f\u3011\u3015\u3017\u3019\u301b\u301e-\u301f\ufd3f\ufe36\ufe38\ufe3a\ufe3c\ufe3e\ufe40\ufe42\ufe44\ufe5a\ufe5c\ufe5e\uff09\uff3d\uff5d\uff60\uff63", r"Pf" : ur"\xbb\u2019\u201d\u203a", r"Pi" : ur"\xab\u2018\u201b-\u201c\u201f\u2039", r"Po" : ur"!\"#%&'*,./:;?@\\\xa1\xb7\xbf\u037e\u0387\u055a-\u055f\u0589\u05be\u05c0\u05c3\u05f3-\u05f4\u060c\u061b\u061f\u066a-\u066d\u06d4\u0700-\u070d\u0964-\u0965\u0970\u0df4\u0e4f\u0e5a-\u0e5b\u0f04-\u0f12\u0f85\u104a-\u104f\u10fb\u1361-\u1368\u166d-\u166e\u16eb-\u16ed\u1735-\u1736\u17d4-\u17d6\u17d8-\u17da\u1800-\u1805\u1807-\u180a\u2016-\u2017\u2020-\u2027\u2030-\u2038\u203b-\u203e\u2041-\u2043\u2047-\u2051\u2057\u23b6\u3001-\u3003\u303d\ufe30\ufe45-\ufe46\ufe49-\ufe4c\ufe50-\ufe52\ufe54-\ufe57\ufe5f-\ufe61\ufe68\ufe6a-\ufe6b\uff01-\uff03\uff05-\uff07\uff0a\uff0c\uff0e-\uff0f\uff1a-\uff1b\uff1f-\uff20\uff3c\uff61\uff64", r"Ps" : ur"(\[{\u0f3a\u0f3c\u169b\u201a\u201e\u2045\u207d\u208d\u2329\u23b4\u2768\u276a\u276c\u276e\u2770\u2772\u2774\u27e6\u27e8\u27ea\u2983\u2985\u2987\u2989\u298b\u298d\u298f\u2991\u2993\u2995\u2997\u29d8\u29da\u29fc\u3008\u300a\u300c\u300e\u3010\u3014\u3016\u3018\u301a\u301d\ufd3e\ufe35\ufe37\ufe39\ufe3b\ufe3d\ufe3f\ufe41\ufe43\ufe59\ufe5b\ufe5d\uff08\uff3b\uff5b\uff5f\uff62", r"P" : ur"!\"#%&'()*,\-./:;?@\[\\\]_{}\xa1\xab\xad\xb7\xbb\xbf\u037e\u0387\u055a-\u055f\u0589-\u058a\u05be\u05c0\u05c3\u05f3-\u05f4\u060c\u061b\u061f\u066a-\u066d\u06d4\u0700-\u070d\u0964-\u0965\u0970\u0df4\u0e4f\u0e5a-\u0e5b\u0f04-\u0f12\u0f3a-\u0f3d\u0f85\u104a-\u104f\u10fb\u1361-\u1368\u166d-\u166e\u169b-\u169c\u16eb-\u16ed\u1735-\u1736\u17d4-\u17d6\u17d8-\u17da\u1800-\u180a\u2010-\u2027\u2030-\u2043\u2045-\u2051\u2057\u207d-\u207e\u208d-\u208e\u2329-\u232a\u23b4-\u23b6\u2768-\u2775\u27e6-\u27eb\u2983-\u2998\u29d8-\u29db\u29fc-\u29fd\u3001-\u3003\u3008-\u3011\u3014-\u301f\u3030\u303d\u30a0\u30fb\ufd3e-\ufd3f\ufe30-\ufe46\ufe49-\ufe52\ufe54-\ufe61\ufe63\ufe68\ufe6a-\ufe6b\uff01-\uff03\uff05-\uff0a\uff0c-\uff0f\uff1a-\uff1b\uff1f-\uff20\uff3b-\uff3d\uff3f\uff5b\uff5d\uff5f-\uff65", r"Sc" : ur"$\xa2-\xa5\u09f2-\u09f3\u0e3f\u17db\u20a0-\u20b1\ufdfc\ufe69\uff04\uffe0-\uffe1\uffe5-\uffe6", r"Sk" : ur"\^`\xa8\xaf\xb4\xb8\u02b9-\u02ba\u02c2-\u02cf\u02d2-\u02df\u02e5-\u02ed\u0374-\u0375\u0384-\u0385\u1fbd\u1fbf-\u1fc1\u1fcd-\u1fcf\u1fdd-\u1fdf\u1fed-\u1fef\u1ffd-\u1ffe\u309b-\u309c\uff3e\uff40\uffe3", r"Sm" : ur"+<=>|~\xac\xb1\xd7\xf7\u03f6\u2044\u2052\u207a-\u207c\u208a-\u208c\u2140-\u2144\u214b\u2190-\u2194\u219a-\u219b\u21a0\u21a3\u21a6\u21ae\u21ce-\u21cf\u21d2\u21d4\u21f4-\u22ff\u2308-\u230b\u2320-\u2321\u237c\u239b-\u23b3\u25b7\u25c1\u25f8-\u25ff\u266f\u27d0-\u27e5\u27f0-\u27ff\u2900-\u2982\u2999-\u29d7\u29dc-\u29fb\u29fe-\u2aff\ufb29\ufe62\ufe64-\ufe66\uff0b\uff1c-\uff1e\uff5c\uff5e\uffe2\uffe9-\uffec", r"So" : ur"\xa6-\xa7\xa9\xae\xb0\xb6\u0482\u06e9\u06fd-\u06fe\u09fa\u0b70\u0f01-\u0f03\u0f13-\u0f17\u0f1a-\u0f1f\u0f34\u0f36\u0f38\u0fbe-\u0fc5\u0fc7-\u0fcc\u0fcf\u2100-\u2101\u2103-\u2106\u2108-\u2109\u2114\u2116-\u2118\u211e-\u2123\u2125\u2127\u2129\u212e\u2132\u213a\u214a\u2195-\u2199\u219c-\u219f\u21a1-\u21a2\u21a4-\u21a5\u21a7-\u21ad\u21af-\u21cd\u21d0-\u21d1\u21d3\u21d5-\u21f3\u2300-\u2307\u230c-\u231f\u2322-\u2328\u232b-\u237b\u237d-\u239a\u23b7-\u23ce\u2400-\u2426\u2440-\u244a\u249c-\u24e9\u2500-\u25b6\u25b8-\u25c0\u25c2-\u25f7\u2600-\u2613\u2616-\u2617\u2619-\u266e\u2670-\u267d\u2680-\u2689\u2701-\u2704\u2706-\u2709\u270c-\u2727\u2729-\u274b\u274d\u274f-\u2752\u2756\u2758-\u275e\u2761-\u2767\u2794\u2798-\u27af\u27b1-\u27be\u2800-\u28ff\u2e80-\u2e99\u2e9b-\u2ef3\u2f00-\u2fd5\u2ff0-\u2ffb\u3004\u3012-\u3013\u3020\u3036-\u3037\u303e-\u303f\u3190-\u3191\u3196-\u319f\u3200-\u321c\u322a-\u3243\u3260-\u327b\u327f\u328a-\u32b0\u32c0-\u32cb\u32d0-\u32fe\u3300-\u3376\u337b-\u33dd\u33e0-\u33fe\ua490-\ua4c6\uffe4\uffe8\uffed-\uffee\ufffc-\ufffd", r"S" : ur"$+<=>\^`|~\xa2-\xa9\xac\xae-\xb1\xb4\xb6\xb8\xd7\xf7\u02b9-\u02ba\u02c2-\u02cf\u02d2-\u02df\u02e5-\u02ed\u0374-\u0375\u0384-\u0385\u03f6\u0482\u06e9\u06fd-\u06fe\u09f2-\u09f3\u09fa\u0b70\u0e3f\u0f01-\u0f03\u0f13-\u0f17\u0f1a-\u0f1f\u0f34\u0f36\u0f38\u0fbe-\u0fc5\u0fc7-\u0fcc\u0fcf\u17db\u1fbd\u1fbf-\u1fc1\u1fcd-\u1fcf\u1fdd-\u1fdf\u1fed-\u1fef\u1ffd-\u1ffe\u2044\u2052\u207a-\u207c\u208a-\u208c\u20a0-\u20b1\u2100-\u2101\u2103-\u2106\u2108-\u2109\u2114\u2116-\u2118\u211e-\u2123\u2125\u2127\u2129\u212e\u2132\u213a\u2140-\u2144\u214a-\u214b\u2190-\u2328\u232b-\u23b3\u23b7-\u23ce\u2400-\u2426\u2440-\u244a\u249c-\u24e9\u2500-\u2613\u2616-\u2617\u2619-\u267d\u2680-\u2689\u2701-\u2704\u2706-\u2709\u270c-\u2727\u2729-\u274b\u274d\u274f-\u2752\u2756\u2758-\u275e\u2761-\u2767\u2794\u2798-\u27af\u27b1-\u27be\u27d0-\u27e5\u27f0-\u2982\u2999-\u29d7\u29dc-\u29fb\u29fe-\u2aff\u2e80-\u2e99\u2e9b-\u2ef3\u2f00-\u2fd5\u2ff0-\u2ffb\u3004\u3012-\u3013\u3020\u3036-\u3037\u303e-\u303f\u309b-\u309c\u3190-\u3191\u3196-\u319f\u3200-\u321c\u322a-\u3243\u3260-\u327b\u327f\u328a-\u32b0\u32c0-\u32cb\u32d0-\u32fe\u3300-\u3376\u337b-\u33dd\u33e0-\u33fe\ua490-\ua4c6\ufb29\ufdfc\ufe62\ufe64-\ufe66\ufe69\uff04\uff0b\uff1c-\uff1e\uff3e\uff40\uff5c\uff5e\uffe0-\uffe6\uffe8-\uffee\ufffc-\ufffd", r"Zl" : ur"\u2028", r"Zp" : ur"\u2029", r"Zs" : ur" \xa0\u1680\u2000-\u200b\u202f\u205f\u3000", r"Z" : ur" \xa0\u1680\u2000-\u200b\u2028-\u2029\u202f\u205f\u3000", r"IsBasicLatin" : ur"\u0000-\u007f", r"IsLatin-1Supplement" : ur"\u0080-\u00ff", r"IsLatinExtended-A" : ur"\u0100-\u017f", r"IsLatinExtended-B" : ur"\u0180-\u024f", r"IsIPAExtensions" : ur"\u0250-\u02af", r"IsSpacingModifierLetters" : ur"\u02b0-\u02ff", r"IsCombiningDiacriticalMarks" : ur"\u0300-\u036f", r"IsGreek" : ur"\u0370-\u03ff", r"IsCyrillic" : ur"\u0400-\u04ff", r"IsArmenian" : ur"\u0530-\u058f", r"IsHebrew" : ur"\u0590-\u05ff", r"IsArabic" : ur"\u0600-\u06ff", r"IsSyriac" : ur"\u0700-\u074f", r"IsThaana" : ur"\u0780-\u07bf", r"IsDevanagari" : ur"\u0900-\u097f", r"IsBengali" : ur"\u0980-\u09ff", r"IsGurmukhi" : ur"\u0a00-\u0a7f", r"IsGujarati" : ur"\u0a80-\u0aff", r"IsOriya" : ur"\u0b00-\u0b7f", r"IsTamil" : ur"\u0b80-\u0bff", r"IsTelugu" : ur"\u0C00-\u0C7F", r"IsKannada" : ur"\u0C80-\u0CFF", r"IsMalayalam" : ur"\u0D00-\u0D7F", r"IsSinhala" : ur"\u0D80-\u0DFF", r"IsThai" : ur"\u0E00-\u0E7F", r"IsLao" : ur"\u0E80-\u0EFF", r"IsTibetan" : ur"\u0F00-\u0FFF", r"IsMyanmar" : ur"\u1000-\u109F", r"IsGeorgian" : ur"\u10A0-\u10FF", r"IsHangulJamo" : ur"\u1100-\u11FF", r"IsEthiopic" : ur"\u1200-\u137F", r"IsCherokee" : ur"\u13A0-\u13FF", r"IsUnifiedCanadianAboriginalSyllabics" : ur"\u1400-\u167F", r"IsOgham" : ur"\u1680-\u169F", r"IsRunic" : ur"\u16A0-\u16FF", r"IsKhmer" : ur"\u1780-\u17FF", r"IsMongolian" : ur"\u1800-\u18AF", r"IsLatinExtendedAdditional" : ur"\u1E00-\u1EFF", r"IsGreekExtended" : ur"\u1F00-\u1FFF", r"IsGeneralPunctuation" : ur"\u2000-\u206F", r"IsSuperscriptsandSubscripts" : ur"\u2070-\u209F", r"IsCurrencySymbols" : ur"\u20A0-\u20CF", r"IsCombiningMarksforSymbols" : ur"\u20D0-\u20FF", r"IsLetterlikeSymbols" : ur"\u2100-\u214F", r"IsNumberForms" : ur"\u2150-\u218F", r"IsArrows" : ur"\u2190-\u21FF", r"IsMathematicalOperators" : ur"\u2200-\u22FF", r"IsMiscellaneousTechnical" : ur"\u2300-\u23FF", r"IsControlPictures" : ur"\u2400-\u243F", r"IsOpticalCharacterRecognition" : ur"\u2440-\u245F", r"IsEnclosedAlphanumerics" : ur"\u2460-\u24FF", r"IsBoxDrawing" : ur"\u2500-\u257F", r"IsBlockElements" : ur"\u2580-\u259F", r"IsGeometricShapes" : ur"\u25A0-\u25FF", r"IsMiscellaneousSymbols" : ur"\u2600-\u26FF", r"IsDingbats" : ur"\u2700-\u27BF", r"IsBraillePatterns" : ur"\u2800-\u28FF", r"IsCJKRadicalsSupplement" : ur"\u2E80-\u2EFF", r"IsKangxiRadicals" : ur"\u2F00-\u2FDF", r"IsIdeographicDescriptionCharacters" : ur"\u2FF0-\u2FFF", r"IsCJKSymbolsandPunctuation" : ur"\u3000-\u303F", r"IsHiragana" : ur"\u3040-\u309F", r"IsKatakana" : ur"\u30A0-\u30FF", r"IsBopomofo" : ur"\u3100-\u312F", r"IsHangulCompatibilityJamo" : ur"\u3130-\u318F", r"IsKanbun" : ur"\u3190-\u319F", r"IsBopomofoExtended" : ur"\u31A0-\u31BF", r"IsEnclosedCJKLettersandMonths" : ur"\u3200-\u32FF", r"IsCJKCompatibility" : ur"\u3300-\u33FF", r"IsCJKUnifiedIdeographsExtensionA" : ur"\u3400-\u4DB5", r"IsCJKUnifiedIdeographs" : ur"\u4E00-\u9FFF", r"IsYiSyllables" : ur"\uA000-\uA48F", r"IsYiRadicals" : ur"\uA490-\uA4CF", r"IsHangulSyllables" : ur"\uAC00-\uD7A3", r"IsHighSurrogates" : ur"\uD800-\uDB7F", r"IsHighPrivateUseSurrogates" : ur"\uDB80-\uDBFF", r"IsLowSurrogates" : ur"\uDC00-\uDFFF", r"IsPrivateUse" : ur"\uE000-\uF8FF", r"IsCJKCompatibilityIdeographs" : ur"\uF900-\uFAFF", r"IsAlphabeticPresentationForms" : ur"\uFB00-\uFB4F", r"IsArabicPresentationForms-A" : ur"\uFB50-\uFDFF", r"IsCombiningHalfMarks" : ur"\uFE20-\uFE2F", r"IsCJKCompatibilityForms" : ur"\uFE30-\uFE4F", r"IsSmallFormVariants" : ur"\uFE50-\uFE6F", r"IsArabicPresentationForms-B" : ur"\uFE70-\uFEFE", r"IsSpecials" : ur"\uFEFF-\uFEFF\uFFF0-\uFFFD", r"IsHalfwidthandFullwidthForms" : ur"\uFF00-\uFFEF", # TODO: wide unicode characters are currently not supported! # r"IsOldItalic" : ur"\U00010300-\U0001032F", # r"IsGothic" : ur"\U00010330-\U0001034F", # r"IsDeseret" : ur"\U00010400-\U0001044F", # r"IsByzantineMusicalSymbols" : ur"\U0001D000-\U0001D0FF", # r"IsMusicalSymbols" : ur"\U0001D100-\U0001D1FF", # r"IsMathematicalAlphanumericSymbols" : ur"\U0001D400-\U0001D7FF", # r"IsCJKUnifiedIdeographsExtensionB" : ur"\U00020000-\U0002A6D6", # r"IsCJKCompatibilityIdeographsSupplement" : ur"\U0002F800-\U0002FA1F", # r"IsTags" : ur"\U000E0000-\U000E007F", # r"IsPrivateUse" : ur"\U000F0000-\U000FFFFD\U00100000-\U0010FFFD", } creSingleCharEsc = re.compile(r"(?P<pbs>\\*)(?P<escChar>\\[iIcC])") substSingleCharEscDict = { r"\i": 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r"\I": 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r"\c": 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r"\C": 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) ######################################## # substitute some multichar escape characters # which are not handled by the standard python re module # def substituteSpecialEscChars (intRePattern): for specialEsc, repl in substSpecialEscList: intRePattern = string.replace(intRePattern, specialEsc, repl) substituteDict = {} for regexObj in creMultiCharEscP.finditer(intRePattern): if not (len(regexObj.group('pbs')) & 1): # even number of preceding backslashes id = regexObj.group('id') pP = regexObj.group('pP') if not substMultiCharEscPDict.has_key(id): raise SyntaxError(r"Unknown MultiCharEscape sequence '\%s{%s}' found!" %(pP, id)) else: inv = 0 invstr = "" if pP == "P": inv ^= 1 if regexObj.group('inv') == '^': inv ^= 1 if inv: invstr = "^" if creWithinSet.match(intRePattern[:regexObj.start("escSeq")]): substituteDict[(regexObj.start("escSeq"), regexObj.end("escSeq"))] = ur"%s%s" %(invstr, substMultiCharEscPDict[id]) else: substituteDict[(regexObj.start("escSeq"), regexObj.end("escSeq"))] = ur"[%s%s]" %(invstr, substMultiCharEscPDict[id]) for regexObj in creSingleCharEsc.finditer(intRePattern): if not (len(regexObj.group('pbs')) & 1): # even number of preceding backslashes foundStr = regexObj.group("escChar") if not substSingleCharEscDict.has_key(foundStr): raise SyntaxError("Unknown SingleCharEscape sequence '%s' found!" %(foundStr)) else: regexObjWithinSet = creWithinSet.match(intRePattern[:regexObj.start("escChar")]) if regexObjWithinSet: substituteDict[(regexObj.start("escChar"), regexObj.end("escChar"))] = ur"%s" %substSingleCharEscDict[foundStr] else: substituteDict[(regexObj.start("escChar"), regexObj.end("escChar"))] = ur"[%s]" %substSingleCharEscDict[foundStr] if substituteDict != {}: strFragList = [] lastPos = 0 keyList = substituteDict.keys() keyList.sort() for startPos, endPos in keyList: strFragList.append(intRePattern[lastPos:startPos]) strFragList.append(substituteDict[(startPos,endPos)]) lastPos = endPos strFragList.append(intRePattern[lastPos:]) expandedPattern = "".join(strFragList) else: expandedPattern = intRePattern return expandedPattern

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Python

backend/tests/test_api_v1_wishlist.py

devalv/yawm

9f91b96cf6b9a9a1f2026d514ea24edda117e1ba

[ "MIT" ]

1

2021-12-26T00:10:15.000Z

backend/tests/test_api_v1_wishlist.py

devalv/yawm

9f91b96cf6b9a9a1f2026d514ea24edda117e1ba

[ "MIT" ]

7

2020-11-07T16:42:47.000Z

2022-01-21T23:51:38.000Z

backend/tests/test_api_v1_wishlist.py

devalv/yawm

9f91b96cf6b9a9a1f2026d514ea24edda117e1ba

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Wishlist api tests.""" import pytest from core.database import ProductGinoModel, WishlistGinoModel pytestmark = [pytest.mark.asyncio, pytest.mark.api_full] API_URL_PREFIX = "/api/v1" @pytest.fixture async def products_1(single_user): return await ProductGinoModel.create( user_id=single_user.id, name="test", url="https://devyatkin.dev/1" ) @pytest.fixture async def products_9(single_user): products_list = list() for i in range(1, 10): product = await ProductGinoModel.create( user_id=single_user.id, name=f"test{i}", url=f"https://devyatkin.dev/{i}" ) products_list.append(product) return products_list @pytest.fixture async def products_149(single_user): products_list = list() for i in range(1, 150): product = await ProductGinoModel.create( user_id=single_user.id, name=f"test{i}", url=f"https://devyatkin.dev/{i}" ) products_list.append(product) return products_list @pytest.fixture async def ew_1(single_user): """1 empty wishlist.""" wishlist = await WishlistGinoModel.create(user_id=single_user.id, name="test") return wishlist @pytest.fixture async def empty_wishlists_4(single_user): for i in range(1, 5): await WishlistGinoModel.create(user_id=single_user.id, name=f"test{i}") @pytest.fixture async def empty_wishlists_149(single_user): for i in range(1, 150): await WishlistGinoModel.create(user_id=single_user.id, name=f"test{i}") @pytest.fixture async def wishlist_products_1(ew_1, products_1): wishlist = await WishlistGinoModel.get(ew_1.id) return await wishlist.add_product( products_1.id, reserved=False, substitutable=False ) @pytest.fixture async def wishlist_products_9(ew_1, products_9): products_list = list() wishlist = await WishlistGinoModel.get(ew_1.id) for product in products_9: rv = await wishlist.add_product(product.id, reserved=False, substitutable=True) products_list.append(rv) return products_list @pytest.fixture async def wp_149(ew_1, products_149): """149 wishlist products.""" products_list = list() wishlist = await WishlistGinoModel.get(ew_1.id) for product in products_149: rv = await wishlist.add_product(product.id, reserved=False, substitutable=True) products_list.append(rv) return products_list @pytest.mark.skip(reason="not implemented yet.") async def test_trailing_slash(backend_app): """Test that trailing slash redirects working.""" resp = await backend_app.get(f"{API_URL_PREFIX}/product/") assert resp.is_redirect assert resp.status_code == 307 class TestProduct: """Product API tests.""" API_URL = f"{API_URL_PREFIX}/product" @pytest.mark.api_base async def test_product_create_no_auth(self, backend_app): resp = await backend_app.post( self.API_URL, json={ "data": { "attributes": {"name": "Product1", "url": "https://devyatkin.dev"} } }, ) assert resp.status_code == 401 @pytest.mark.api_base async def test_product_create( self, snapshot, backend_app, single_user_auth_headers ): resp = await backend_app.post( self.API_URL, json={ "data": { "attributes": {"name": "Product1", "url": "https://devyatkin.dev"} } }, headers=single_user_auth_headers, ) assert resp.status_code == 200 resp_json_data = resp.json() resp_data = resp_json_data["data"] assert "id" in resp_data assert "type" in resp_data resp_data.pop("id", None) snapshot.assert_match(resp_json_data) @pytest.mark.api_base async def test_products(self, snapshot, backend_app, products_9): resp = await backend_app.get(self.API_URL) assert resp.status_code == 200 resp_data = resp.json() assert isinstance(resp_data, dict) # removing product id from items resp_products = resp_data["data"] for resp_product in resp_products: assert "id" in resp_product assert "type" in resp_product resp_product.pop("id", None) snapshot.assert_match(resp_data) @pytest.mark.api_base async def test_product_read(self, snapshot, backend_app, products_1): resp = await backend_app.get(f"{self.API_URL}/{products_1.id}") assert resp.status_code == 200 resp_json_data = resp.json() resp_data = resp_json_data["data"] assert "id" in resp_data assert "type" in resp_data resp_data.pop("id", None) snapshot.assert_match(resp_json_data) @pytest.mark.api_base async def test_product_delete_no_auth(self, backend_app, products_1): resp = await backend_app.delete(f"{self.API_URL}/{products_1.id}") assert resp.status_code == 401 @pytest.mark.api_base async def test_product_delete_no_owner( self, backend_app, products_1, another_single_user_auth_headers ): resp = await backend_app.delete( f"{self.API_URL}/{products_1.id}", headers=another_single_user_auth_headers ) assert resp.status_code == 403 @pytest.mark.api_base async def test_product_delete_admin( self, backend_app, products_1, single_admin_auth_headers ): resp = await backend_app.delete( f"{self.API_URL}/{products_1.id}", headers=single_admin_auth_headers ) assert resp.status_code == 204 new_resp = await backend_app.get( f"{self.API_URL}/{products_1.id}", headers=single_admin_auth_headers ) assert new_resp.status_code == 404 @pytest.mark.api_base async def test_product_delete( self, backend_app, products_1, single_user_auth_headers ): resp = await backend_app.delete( f"{self.API_URL}/{products_1.id}", headers=single_user_auth_headers ) assert resp.status_code == 204 new_resp = await backend_app.get( f"{self.API_URL}/{products_1.id}", headers=single_user_auth_headers ) assert new_resp.status_code == 404 @pytest.mark.api_base async def test_product_full_update_no_auth(self, snapshot, backend_app, products_1): resp = await backend_app.put( f"{self.API_URL}/{products_1.id}", json={ "data": {"attributes": {"name": "test-updated", "url": "https://ya.ru"}} }, ) assert resp.status_code == 401 @pytest.mark.api_base async def test_product_full_update_no_owner( self, snapshot, backend_app, products_1, another_single_user_auth_headers ): resp = await backend_app.put( f"{self.API_URL}/{products_1.id}", json={ "data": {"attributes": {"name": "test-updated", "url": "https://ya.ru"}} }, headers=another_single_user_auth_headers, ) assert resp.status_code == 403 @pytest.mark.api_base async def test_product_full_update_admin( self, snapshot, backend_app, products_1, single_admin_auth_headers ): resp = await backend_app.put( f"{self.API_URL}/{products_1.id}", json={ "data": {"attributes": {"name": "test-updated", "url": "https://ya.ru"}} }, headers=single_admin_auth_headers, ) assert resp.status_code == 200 resp_json_data = resp.json() resp_data = resp_json_data["data"] assert "id" in resp_data assert "type" in resp_data resp_data.pop("id", None) snapshot.assert_match(resp_json_data) @pytest.mark.api_base async def test_product_full_update( self, snapshot, backend_app, products_1, single_user_auth_headers ): resp = await backend_app.put( f"{self.API_URL}/{products_1.id}", json={ "data": {"attributes": {"name": "test-updated", "url": "https://ya.ru"}} }, headers=single_user_auth_headers, ) assert resp.status_code == 200 resp_json_data = resp.json() resp_data = resp_json_data["data"] assert "id" in resp_data assert "type" in resp_data resp_data.pop("id", None) snapshot.assert_match(resp_json_data) async def test_product_partial_update_no_auth( self, snapshot, backend_app, products_1 ): resp = await backend_app.put( f"{self.API_URL}/{products_1.id}", json={"data": {"attributes": {"name": "partial-updated-name"}}}, ) assert resp.status_code == 401 async def test_product_partial_update_no_owner( self, snapshot, backend_app, products_1, another_single_user_auth_headers ): resp = await backend_app.put( f"{self.API_URL}/{products_1.id}", json={"data": {"attributes": {"name": "partial-updated-name"}}}, headers=another_single_user_auth_headers, ) assert resp.status_code == 403 async def test_product_partial_update_admin( self, snapshot, backend_app, products_1, single_admin_auth_headers ): resp = await backend_app.put( f"{self.API_URL}/{products_1.id}", json={"data": {"attributes": {"name": "partial-updated-name"}}}, headers=single_admin_auth_headers, ) assert resp.status_code == 200 resp_json_data = resp.json() resp_data = resp_json_data["data"] assert "id" in resp_data assert "type" in resp_data resp_data.pop("id", None) snapshot.assert_match(resp_json_data) async def test_product_partial_update( self, snapshot, backend_app, products_1, single_user_auth_headers ): resp = await backend_app.put( f"{self.API_URL}/{products_1.id}", json={"data": {"attributes": {"name": "partial-updated-name"}}}, headers=single_user_auth_headers, ) assert resp.status_code == 200 resp_json_data = resp.json() resp_data = resp_json_data["data"] assert "id" in resp_data assert "type" in resp_data resp_data.pop("id", None) snapshot.assert_match(resp_json_data) @pytest.mark.api_base async def test_product_paginator_limit(self, snapshot, backend_app, products_9): paginator_limit = 5 resp = await backend_app.get( self.API_URL, query_string=dict(size=paginator_limit) ) assert resp.status_code == 200 resp_json_data = resp.json() resp_data = resp_json_data["data"] assert len(resp_data) == paginator_limit for resp_product in resp_data: assert "id" in resp_product assert "type" in resp_product resp_product.pop("id", None) snapshot.assert_match(resp_json_data) class TestEmptyWishlist: """Empty wishlist API tests.""" API_URL = f"{API_URL_PREFIX}/wishlist" @pytest.mark.api_base async def test_wishlist_create_no_auth(self, snapshot, backend_app): resp = await backend_app.post( self.API_URL, json={"data": {"attributes": {"name": "Wishlist1"}}} ) assert resp.status_code == 401 @pytest.mark.api_base async def test_wishlist_create( self, snapshot, backend_app, single_user_auth_headers ): resp = await backend_app.post( self.API_URL, json={"data": {"attributes": {"name": "Wishlist1"}}}, headers=single_user_auth_headers, ) assert resp.status_code == 200 resp_json_data = resp.json() resp_data = resp_json_data["data"] assert "id" in resp_data assert "type" in resp_data resp_data.pop("id", None) snapshot.assert_match(resp_json_data) @pytest.mark.api_base async def test_empty_wishlist_delete_no_auth(self, backend_app, ew_1): resp = await backend_app.delete(f"{self.API_URL}/{ew_1.id}") assert resp.status_code == 401 @pytest.mark.api_base async def test_empty_wishlist_delete_no_owner( self, backend_app, ew_1, another_single_user_auth_headers ): resp = await backend_app.delete( f"{self.API_URL}/{ew_1.id}", headers=another_single_user_auth_headers ) assert resp.status_code == 403 @pytest.mark.api_base async def test_empty_wishlist_delete_admin( self, backend_app, ew_1, single_admin_auth_headers ): resp = await backend_app.delete( f"{self.API_URL}/{ew_1.id}", headers=single_admin_auth_headers ) assert resp.status_code == 204 new_resp = await backend_app.get( f"{self.API_URL}/{ew_1.id}", headers=single_admin_auth_headers ) assert new_resp.status_code == 404 @pytest.mark.api_base async def test_empty_wishlist_delete( self, backend_app, ew_1, single_user_auth_headers ): resp = await backend_app.delete( f"{self.API_URL}/{ew_1.id}", headers=single_user_auth_headers ) assert resp.status_code == 204 new_resp = await backend_app.get( f"{self.API_URL}/{ew_1.id}", headers=single_user_auth_headers ) assert new_resp.status_code == 404 @pytest.mark.api_base async def test_empty_wishlists(self, snapshot, backend_app, empty_wishlists_4): resp = await backend_app.get(self.API_URL) assert resp.status_code == 200 resp_json_data = resp.json() assert isinstance(resp_json_data, dict) items = resp_json_data["data"] count = resp_json_data["total"] assert count == 4 # remove unique data from fetch for resp_product in items: assert "id" in resp_product assert "type" in resp_product resp_product.pop("id", None) snapshot.assert_match(items) @pytest.mark.api_base async def test_empty_wishlists_paginator_limit( self, snapshot, backend_app, empty_wishlists_4 ): paginator_limit = 2 resp = await backend_app.get( self.API_URL, query_string=dict(size=paginator_limit) ) assert resp.status_code == 200 resp_data = resp.json() assert isinstance(resp_data, dict) items = resp_data["data"] size = resp_data["size"] total = resp_data["total"] assert size == paginator_limit assert total == 4 # remove unique data from fetch for resp_product in items: assert "id" in resp_product assert "type" in resp_product resp_product.pop("id", None) snapshot.assert_match(items) @pytest.mark.api_base async def test_empty_wishlist_read(self, snapshot, backend_app, ew_1): resp = await backend_app.get(self.API_URL + f"/{ew_1.id}") assert resp.status_code == 200 resp_json_data = resp.json() resp_data = resp_json_data["data"] assert "id" in resp_data assert "type" in resp_data resp_data.pop("id", None) snapshot.assert_match(resp_data) @pytest.mark.api_base async def test_empty_wishlist_full_update( self, snapshot, backend_app, ew_1, single_user_auth_headers ): resp = await backend_app.put( f"{self.API_URL}/{ew_1.id}", json={"data": {"attributes": {"name": "test-updated"}}}, headers=single_user_auth_headers, ) assert resp.status_code == 200 resp_json_data = resp.json() resp_data = resp_json_data["data"] assert "id" in resp_data assert "type" in resp_data resp_data.pop("id", None) snapshot.assert_match(resp_data) @pytest.mark.api_base async def test_empty_wishlist_full_update_no_auth(self, backend_app, ew_1): resp = await backend_app.put( f"{self.API_URL}/{ew_1.id}", json={"data": {"attributes": {"name": "test-updated"}}}, ) assert resp.status_code == 401 @pytest.mark.api_base async def test_empty_wishlist_full_update_no_owner( self, backend_app, ew_1, another_single_user_auth_headers ): resp = await backend_app.put( f"{self.API_URL}/{ew_1.id}", headers=another_single_user_auth_headers ) assert resp.status_code == 403 @pytest.mark.api_base async def test_empty_wishlist_full_update_admin( self, snapshot, backend_app, ew_1, single_admin_auth_headers ): resp = await backend_app.put( f"{self.API_URL}/{ew_1.id}", json={"data": {"attributes": {"name": "test-updated"}}}, headers=single_admin_auth_headers, ) assert resp.status_code == 200 resp_json_data = resp.json() resp_data = resp_json_data["data"] assert "id" in resp_data assert "type" in resp_data resp_data.pop("id", None) snapshot.assert_match(resp_data) class TestWishlist: """Wishlist API tests.""" @pytest.mark.api_base async def test_add_product_wishlist_no_auth(self, backend_app, ew_1, products_9): for i, product in enumerate(products_9): insert_data = { "data": { "attributes": { "product_id": f"{product.id}", "reserved": False, "substitutable": True, } } } expected_data = insert_data.copy() expected_data["data"]["attributes"]["wishlist_id"] = f"{ew_1.id}" expected_data["data"]["type"] = "wishlist_products" resp = await backend_app.post( f"{API_URL_PREFIX}/wishlist/{ew_1.id}/products", json=insert_data ) assert resp.status_code == 401 @pytest.mark.api_base async def test_add_product_wishlist( self, backend_app, ew_1, products_9, single_user_auth_headers ): for i, product in enumerate(products_9): insert_data = { "data": { "attributes": { "product_id": f"{product.id}", "reserved": False, "substitutable": True, } } } expected_data = insert_data.copy() expected_data["data"]["attributes"]["wishlist_id"] = f"{ew_1.id}" expected_data["data"]["type"] = "wishlist_products" resp = await backend_app.post( f"{API_URL_PREFIX}/wishlist/{ew_1.id}/products", json=insert_data, headers=single_user_auth_headers, ) assert resp.status_code == 200 resp_json_data = resp.json() resp_data = resp_json_data["data"] assert "id" in resp_data assert "type" in resp_data resp_data.pop("id", None) assert resp_json_data == expected_data # check all products in wishlist products_resp = await backend_app.get( f"{API_URL_PREFIX}/wishlist/{ew_1.id}/products" ) assert products_resp.status_code == 200 product_resp_json_data = products_resp.json() product_resp_data = product_resp_json_data["data"] for product in product_resp_data: assert "id" in product assert "type" in product total = product_resp_json_data["total"] assert total == 9 @pytest.mark.api_base async def test_delete_product_wishlist_no_auth( self, snapshot, backend_app, wishlist_products_1 ): # check products count products_resp = await backend_app.get(f"{API_URL_PREFIX}/product") assert products_resp.status_code == 200 assert products_resp.json()["total"] == 1 # delete 1 wishlist products resp = await backend_app.delete( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}/products/{wishlist_products_1.id}" # noqa: E501 ) assert resp.status_code == 401 @pytest.mark.api_base async def test_delete_product_wishlist_no_owner( self, snapshot, backend_app, wishlist_products_1, another_single_user_auth_headers, ): # check products count products_resp = await backend_app.get(f"{API_URL_PREFIX}/product") assert products_resp.status_code == 200 assert products_resp.json()["total"] == 1 # delete 1 wishlist products resp = await backend_app.delete( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}/products/{wishlist_products_1.id}", # noqa: E501 headers=another_single_user_auth_headers, ) assert resp.status_code == 403 @pytest.mark.api_base async def test_delete_product_wishlist_admin( self, snapshot, backend_app, wishlist_products_1, single_admin_auth_headers ): # check products count products_resp = await backend_app.get(f"{API_URL_PREFIX}/product") assert products_resp.status_code == 200 assert products_resp.json()["total"] == 1 # delete 1 wishlist products resp = await backend_app.delete( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}/products/{wishlist_products_1.id}", # noqa: E501 headers=single_admin_auth_headers, ) assert resp.status_code == 204 # check all products in wishlist products_resp = await backend_app.get( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}/products" ) assert products_resp.status_code == 200 product_resp_data = products_resp.json() assert isinstance(product_resp_data, dict) total = product_resp_data["total"] assert total == 0 # check products count products_resp = await backend_app.get(f"{API_URL_PREFIX}/product") assert products_resp.status_code == 200 assert products_resp.json()["total"] == 1 @pytest.mark.api_base async def test_delete_product_wishlist( self, snapshot, backend_app, wishlist_products_1, single_user_auth_headers ): # check products count products_resp = await backend_app.get(f"{API_URL_PREFIX}/product") assert products_resp.status_code == 200 assert products_resp.json()["total"] == 1 # delete 1 wishlist products resp = await backend_app.delete( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}/products/{wishlist_products_1.id}", # noqa: E501 headers=single_user_auth_headers, ) assert resp.status_code == 204 # check all products in wishlist products_resp = await backend_app.get( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}/products" ) assert products_resp.status_code == 200 product_resp_data = products_resp.json() assert isinstance(product_resp_data, dict) total = product_resp_data["total"] assert total == 0 # check products count products_resp = await backend_app.get(f"{API_URL_PREFIX}/product") assert products_resp.status_code == 200 assert products_resp.json()["total"] == 1 @pytest.mark.api_full async def test_delete_wishlist_with_products_no_auth( self, backend_app, wishlist_products_1 ): # check that wpr have 1 record wpr = await backend_app.get( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}/products" ) assert wpr.json()["total"] == 1 # delete wishlist assigned to wpr resp = await backend_app.delete( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}" ) assert resp.status_code == 401 @pytest.mark.api_full async def test_delete_wishlist_with_products_no_owner( self, backend_app, wishlist_products_1, another_single_user_auth_headers ): # check that wpr have 1 record wpr = await backend_app.get( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}/products" ) assert wpr.json()["total"] == 1 # delete wishlist assigned to wpr resp = await backend_app.delete( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}", headers=another_single_user_auth_headers, ) assert resp.status_code == 403 @pytest.mark.api_full async def test_delete_wishlist_with_products_admin( self, backend_app, wishlist_products_1, single_admin_auth_headers ): # check that wpr have 1 record wpr = await backend_app.get( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}/products" ) assert wpr.json()["total"] == 1 # delete wishlist assigned to wpr resp = await backend_app.delete( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}", headers=single_admin_auth_headers, ) assert resp.status_code == 204 # check that wishlist deleted new_resp = await backend_app.get( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}" ) assert new_resp.status_code == 404 # check that wpr deleted too wpr_2 = await backend_app.get( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}/products" ) assert wpr_2.status_code == 404 @pytest.mark.api_full async def test_delete_wishlist_with_products( self, backend_app, wishlist_products_1, single_user_auth_headers ): # check that wpr have 1 record wpr = await backend_app.get( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}/products" ) assert wpr.json()["total"] == 1 # delete wishlist assigned to wpr resp = await backend_app.delete( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}", headers=single_user_auth_headers, ) assert resp.status_code == 204 # check that wishlist deleted new_resp = await backend_app.get( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}" ) assert new_resp.status_code == 404 # check that wpr deleted too wpr_2 = await backend_app.get( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}/products" ) assert wpr_2.status_code == 404 @pytest.mark.api_full async def test_delete_product_in_wishlist_no_auth( self, backend_app, wishlist_products_9 ): # check that we have 9 products initial_products = await backend_app.get(f"{API_URL_PREFIX}/product") initial_products_total = initial_products.json()["total"] initial_products_total == 9 # first_product = wishlist_products_9[0] # check that wpr exists wpr = await backend_app.get( f"{API_URL_PREFIX}/wishlist/{first_product.wishlist_id}/products" ) assert wpr.json()["total"] == 9 # delete one of product resp = await backend_app.delete( f"{API_URL_PREFIX}/product/{first_product.product_id}" ) assert resp.status_code == 401 @pytest.mark.api_full async def test_delete_product_in_wishlist_no_owner( self, backend_app, wishlist_products_9, another_single_user_auth_headers ): # check that we have 9 products initial_products = await backend_app.get(f"{API_URL_PREFIX}/product") initial_products_total = initial_products.json()["total"] initial_products_total == 9 # first_product = wishlist_products_9[0] # check that wpr exists wpr = await backend_app.get( f"{API_URL_PREFIX}/wishlist/{first_product.wishlist_id}/products" ) assert wpr.json()["total"] == 9 # delete one of product resp = await backend_app.delete( f"{API_URL_PREFIX}/product/{first_product.product_id}", headers=another_single_user_auth_headers, ) assert resp.status_code == 403 @pytest.mark.api_full async def test_delete_product_in_wishlist_admin( self, backend_app, wishlist_products_9, single_admin_auth_headers ): # check that we have 9 products initial_products = await backend_app.get(f"{API_URL_PREFIX}/product") initial_products_total = initial_products.json()["total"] initial_products_total == 9 # first_product = wishlist_products_9[0] # check that wpr exists wpr = await backend_app.get( f"{API_URL_PREFIX}/wishlist/{first_product.wishlist_id}/products" ) assert wpr.json()["total"] == 9 # delete one of product resp = await backend_app.delete( f"{API_URL_PREFIX}/product/{first_product.product_id}", headers=single_admin_auth_headers, ) assert resp.status_code == 204 # check that record deleted new_resp = await backend_app.get( f"{API_URL_PREFIX}/product/{first_product.product_id}" ) assert new_resp.status_code == 404 # check that now we have 8 products reduced_products = await backend_app.get(f"{API_URL_PREFIX}/product") reduced_products_total = reduced_products.json()["total"] reduced_products_total == 8 # check that wpr exists wpr_2 = await backend_app.get( f"{API_URL_PREFIX}/wishlist/{first_product.wishlist_id}/products" ) assert wpr_2.json()["total"] == 8 @pytest.mark.api_full async def test_delete_product_in_wishlist( self, backend_app, wishlist_products_9, single_user_auth_headers ): # check that we have 9 products initial_products = await backend_app.get(f"{API_URL_PREFIX}/product") initial_products_total = initial_products.json()["total"] initial_products_total == 9 # first_product = wishlist_products_9[0] # check that wpr exists wpr = await backend_app.get( f"{API_URL_PREFIX}/wishlist/{first_product.wishlist_id}/products" ) assert wpr.json()["total"] == 9 # delete one of product resp = await backend_app.delete( f"{API_URL_PREFIX}/product/{first_product.product_id}", headers=single_user_auth_headers, ) assert resp.status_code == 204 # check that record deleted new_resp = await backend_app.get( f"{API_URL_PREFIX}/product/{first_product.product_id}" ) assert new_resp.status_code == 404 # check that now we have 8 products reduced_products = await backend_app.get(f"{API_URL_PREFIX}/product") reduced_products_total = reduced_products.json()["total"] reduced_products_total == 8 # check that wpr exists wpr_2 = await backend_app.get( f"{API_URL_PREFIX}/wishlist/{first_product.wishlist_id}/products" ) assert wpr_2.json()["total"] == 8 @pytest.mark.api_base async def test_wishlist_products_list(self, backend_app, wishlist_products_1): products_resp = await backend_app.get( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}/products" ) assert products_resp.status_code == 200 product_resp_json_data = products_resp.json() total = product_resp_json_data["total"] assert total == 1 product_resp_data = product_resp_json_data["data"] for product in product_resp_data: assert "id" in product assert "type" in product @pytest.mark.api_base async def test_paginator_wishlist_products_list( self, backend_app, ew_1, wishlist_products_9 ): paginator_limit = 5 products_resp = await backend_app.get( f"{API_URL_PREFIX}/wishlist/{ew_1.id}/products", query_string=dict(size=paginator_limit), ) assert products_resp.status_code == 200 product_resp_json_data = products_resp.json() size = product_resp_json_data["size"] assert size == paginator_limit for product in product_resp_json_data["data"]: assert "id" in product assert "type" in product async def test_delete_fake_product_wishlist_no_auth( self, snapshot, backend_app, wishlist_products_1 ): resp = await backend_app.delete( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}/products/{wishlist_products_1.product_id}" # noqa: E501 ) assert resp.status_code == 401 async def test_delete_fake_product_wishlist( self, snapshot, backend_app, wishlist_products_1, single_user_auth_headers ): resp = await backend_app.delete( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}/products/{wishlist_products_1.product_id}", # noqa: E501 headers=single_user_auth_headers, ) assert resp.status_code == 404 async def test_add_fake_product_wishlist_no_auth( self, backend_app, ew_1, products_9 ): insert_data = { "data": { "attributes": { "product_id": f"{ew_1.id}", "reserved": False, "substitutable": True, } } } resp = await backend_app.post( f"{API_URL_PREFIX}/wishlist/{ew_1.id}/products", # noqa: E501 json=insert_data, ) assert resp.status_code == 401 async def test_add_fake_product_wishlist( self, backend_app, ew_1, products_9, single_user_auth_headers ): insert_data = { "data": { "attributes": { "product_id": f"{ew_1.id}", "reserved": False, "substitutable": True, } } } resp = await backend_app.post( f"{API_URL_PREFIX}/wishlist/{ew_1.id}/products", # noqa: E501 json=insert_data, headers=single_user_auth_headers, ) assert resp.status_code == 404 @pytest.mark.api_base async def test_update_wishlist_product_no_auth( self, backend_app, wishlist_products_1 ): resp = await backend_app.put( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}/products/{wishlist_products_1.id}", # noqa: E501 json={"data": {"attributes": {"reserved": True}}}, ) assert resp.status_code == 401 @pytest.mark.api_base async def test_update_wishlist_product_no_owner( self, backend_app, wishlist_products_1, another_single_user_auth_headers ): resp = await backend_app.put( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}/products/{wishlist_products_1.id}", # noqa: E501 json={"data": {"attributes": {"reserved": True}}}, headers=another_single_user_auth_headers, ) assert resp.status_code == 403 @pytest.mark.api_base async def test_update_wishlist_product_admin( self, backend_app, wishlist_products_1, single_admin_auth_headers ): resp = await backend_app.put( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}/products/{wishlist_products_1.id}", # noqa: E501 json={"data": {"attributes": {"reserved": True}}}, headers=single_admin_auth_headers, ) assert resp.status_code == 200 resp_json_data = resp.json() resp_data = resp_json_data["data"] assert "id" in resp_data assert "type" in resp_data assert resp_data["attributes"]["reserved"] is True @pytest.mark.api_base async def test_update_wishlist_product( self, backend_app, wishlist_products_1, single_user_auth_headers ): assert not wishlist_products_1.substitutable resp = await backend_app.put( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}/products/{wishlist_products_1.id}", # noqa: E501 json={"data": {"attributes": {"substitutable": True, "reserved": True}}}, headers=single_user_auth_headers, ) assert resp.status_code == 200 resp_json_data = resp.json() resp_data = resp_json_data["data"] assert "id" in resp_data assert "type" in resp_data assert resp_data["attributes"]["substitutable"] is True assert resp_data["attributes"]["reserved"] is True @pytest.mark.api_base async def test_reserve_wishlist_product(self, backend_app, wishlist_products_1): resp = await backend_app.put( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}/products/{wishlist_products_1.id}/reserve", # noqa: E501 json={"data": {"attributes": {"reserved": True}}}, ) assert resp.status_code == 200 resp_json_data = resp.json() resp_data = resp_json_data["data"] assert "id" in resp_data assert "type" in resp_data assert resp_data["attributes"]["reserved"] is True async def test_reserve_fake_wishlist_product( self, backend_app, wishlist_products_1 ): resp = await backend_app.put( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.id}/products/{wishlist_products_1.id}", # noqa: E501 json={"data": {"attributes": {"reserved": True}}}, ) assert resp.status_code == 404 @pytest.mark.api_base async def test_substitute_wishlist_product_no_auth( self, backend_app, wishlist_products_1 ): assert not wishlist_products_1.substitutable resp = await backend_app.put( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}/products/{wishlist_products_1.id}", # noqa: E501 json={"data": {"attributes": {"substitutable": True}}}, ) assert resp.status_code == 401 @pytest.mark.api_base async def test_substitute_wishlist_product_no_owner( self, backend_app, wishlist_products_1, another_single_user_auth_headers ): assert not wishlist_products_1.substitutable resp = await backend_app.put( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}/products/{wishlist_products_1.id}", # noqa: E501 json={"data": {"attributes": {"substitutable": True}}}, headers=another_single_user_auth_headers, ) assert resp.status_code == 403 @pytest.mark.api_base async def test_substitute_wishlist_product_admin( self, backend_app, wishlist_products_1, single_admin_auth_headers ): assert not wishlist_products_1.substitutable resp = await backend_app.put( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}/products/{wishlist_products_1.id}", # noqa: E501 json={"data": {"attributes": {"substitutable": True}}}, headers=single_admin_auth_headers, ) assert resp.status_code == 200 resp_json_data = resp.json() resp_data = resp_json_data["data"] assert "id" in resp_data assert "type" in resp_data assert resp_data["attributes"]["substitutable"] @pytest.mark.api_base async def test_substitute_wishlist_product( self, backend_app, wishlist_products_1, single_user_auth_headers ): assert not wishlist_products_1.substitutable resp = await backend_app.put( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}/products/{wishlist_products_1.id}", # noqa: E501 json={"data": {"attributes": {"substitutable": True}}}, headers=single_user_auth_headers, ) assert resp.status_code == 200 resp_json_data = resp.json() resp_data = resp_json_data["data"] assert "id" in resp_data assert "type" in resp_data assert resp_data["attributes"]["substitutable"] async def test_substitute_fake_wishlist_product_no_auth( self, backend_app, wishlist_products_1 ): resp = await backend_app.put( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.wishlist_id}/products/{wishlist_products_1.id}", # noqa: E501 json={"data": {"attributes": {"substitutable": True}}}, ) assert resp.status_code == 401 async def test_substitute_fake_wishlist_product( self, backend_app, wishlist_products_1, single_user_auth_headers ): resp = await backend_app.put( f"{API_URL_PREFIX}/wishlist/{wishlist_products_1.id}/products/{wishlist_products_1.id}", # noqa: E501 json={"data": {"attributes": {"substitutable": True}}}, headers=single_user_auth_headers, ) assert resp.status_code == 404 class PaginatorValidator: """Utils for validation dynamic paginator data""" @staticmethod def validate_links( links: dict, url: str, last_page_num: int, next_page_num: int, prev_page_num: int, self_page_num: int, size: int = None, ) -> None: # paginator url prefix if size is not None: pagination_url_prefix = f"{url}?size={size}&page=" else: pagination_url_prefix = f"{url}?page=" # validate pagination links values assert links["first"] == f"{pagination_url_prefix}1" if self_page_num is not None: try: assert links["self"] == f"{pagination_url_prefix}{self_page_num}" except AssertionError: assert f"page={self_page_num}" in links["self"] assert f"size={size}" in links["self"] elif size is not None: try: assert links["self"] == f"{url}?size={size}" except AssertionError: assert f"page={self_page_num}" in links["self"] assert f"size={size}" in links["self"] else: assert links["self"] == url if last_page_num is not None: try: assert links["last"] == f"{pagination_url_prefix}{last_page_num}" except AssertionError: assert f"page={self_page_num}" in links["last"] assert f"size={size}" in links["last"] else: assert links["last"] is None if next_page_num is not None: try: assert links["next"] == f"{pagination_url_prefix}{next_page_num}" except AssertionError: assert f"page={self_page_num}" in links["next"] assert f"size={size}" in links["next"] else: assert links["next"] is None if prev_page_num is not None: try: assert links["prev"] == f"{pagination_url_prefix}{prev_page_num}" except AssertionError: assert f"page={self_page_num}" in links["prev"] assert f"size={size}" in links["prev"] else: assert links["prev"] is None class TestWPPaginator(PaginatorValidator): """Wishlist Products paginator extra tests.""" @staticmethod def validate_response(json_data: dict) -> None: response_data = json_data["data"] for product in response_data: attributes = product["attributes"] assert "id" in product assert "wishlist_id" in attributes assert "product_id" in attributes product.pop("id", None) attributes.pop("wishlist_id", None) attributes.pop("product_id", None) @pytest.mark.api_full async def test_default_paginator(self, snapshot, backend_app, ew_1, wp_149): api_url = f"{API_URL_PREFIX}/wishlist/{ew_1.id}/products" # open default page response = await backend_app.get(api_url) assert response.status_code == 200 response_json_data = response.json() # check pagination links self.validate_links( response_json_data.pop("links"), url=api_url, last_page_num=3, next_page_num=2, prev_page_num=None, self_page_num=None, ) # assert response data self.validate_response(response_json_data) snapshot.assert_match(response_json_data) @pytest.mark.api_full async def test_next_page_paginator(self, snapshot, backend_app, ew_1, wp_149): api_url = f"{API_URL_PREFIX}/wishlist/{ew_1.id}/products" # open next paginator page response = await backend_app.get(api_url, query_string=dict(page=2)) assert response.status_code == 200 response_json_data = response.json() # check pagination links self.validate_links( response_json_data.pop("links"), url=api_url, last_page_num=3, next_page_num=3, prev_page_num=1, self_page_num=2, ) # check response data self.validate_response(response_json_data) snapshot.assert_match(response_json_data) @pytest.mark.api_full async def test_first_page_paginator(self, snapshot, backend_app, ew_1, wp_149): api_url = f"{API_URL_PREFIX}/wishlist/{ew_1.id}/products" # open first paginator page response = await backend_app.get(api_url, query_string=dict(page=1)) assert response.status_code == 200 response_json_data = response.json() self.validate_response(response_json_data) # check pagination links self.validate_links( response_json_data.pop("links"), url=api_url, last_page_num=3, next_page_num=2, prev_page_num=None, self_page_num=1, ) # assert response data snapshot.assert_match(response_json_data) @pytest.mark.api_full async def test_last_page_paginator(self, snapshot, backend_app, ew_1, wp_149): api_url = f"{API_URL_PREFIX}/wishlist/{ew_1.id}/products" # open last paginator page response = await backend_app.get(api_url, query_string=dict(page=3)) assert response.status_code == 200 response_json_data = response.json() self.validate_response(response_json_data) # check pagination links self.validate_links( response_json_data.pop("links"), url=api_url, last_page_num=3, next_page_num=None, prev_page_num=2, self_page_num=3, ) # assert response data snapshot.assert_match(response_json_data) @pytest.mark.api_full async def test_reduced_qs_paginator(self, snapshot, backend_app, ew_1, wp_149): api_url = f"{API_URL_PREFIX}/wishlist/{ew_1.id}/products" # reduce QS size response = await backend_app.get(api_url, query_string=dict(size=10)) assert response.status_code == 200 response_json_data = response.json() self.validate_response(response_json_data) # check pagination links self.validate_links( response_json_data.pop("links"), url=f"{api_url}", last_page_num=15, next_page_num=2, prev_page_num=None, self_page_num=None, size=10, ) # assert response data snapshot.assert_match(response_json_data) @pytest.mark.api_full async def test_last_page_reduced_qs_paginator( self, snapshot, backend_app, ew_1, wp_149 ): api_url = f"{API_URL_PREFIX}/wishlist/{ew_1.id}/products" # open last page with reduced QS size response = await backend_app.get(api_url, query_string=dict(page=15, size=10)) assert response.status_code == 200 response_json_data = response.json() self.validate_response(response_json_data) # check pagination links self.validate_links( response_json_data.pop("links"), url=api_url, size=10, last_page_num=15, next_page_num=None, prev_page_num=14, self_page_num=15, ) snapshot.assert_match(response_json_data) @pytest.mark.api_full async def test_empty_page_reduced_qs_paginator( self, snapshot, backend_app, ew_1, wp_149 ): api_url = f"{API_URL_PREFIX}/wishlist/{ew_1.id}/products" # open empty page with reduced QS size response = await backend_app.get(api_url, query_string=dict(page=16, size=10)) assert response.status_code == 200 response_json_data = response.json() self.validate_response(response_json_data) # check pagination links self.validate_links( response_json_data.pop("links"), url=api_url, size=10, last_page_num=15, next_page_num=None, prev_page_num=15, self_page_num=16, ) snapshot.assert_match(response_json_data) class TestProductPaginator(PaginatorValidator): """Products paginator extra tests.""" @staticmethod def validate_response(json_data: dict): response_data = json_data["data"] for product in response_data: assert "id" in product product.pop("id", None) return json_data @pytest.mark.api_full async def test_default_paginator(self, snapshot, backend_app, products_149): api_url = f"{API_URL_PREFIX}/product" # open default page response = await backend_app.get(api_url) assert response.status_code == 200 response_json_data = response.json() self.validate_response(response_json_data) # check pagination links self.validate_links( response_json_data.pop("links"), url=api_url, last_page_num=3, next_page_num=2, prev_page_num=None, self_page_num=None, ) snapshot.assert_match(response_json_data) @pytest.mark.api_full async def test_next_page_paginator(self, snapshot, backend_app, products_149): api_url = f"{API_URL_PREFIX}/product" # open next paginator page response = await backend_app.get(api_url, query_string=dict(page=2)) assert response.status_code == 200 response_json_data = response.json() self.validate_response(response_json_data) # check pagination links self.validate_links( response_json_data.pop("links"), url=api_url, last_page_num=3, next_page_num=3, prev_page_num=1, self_page_num=2, ) snapshot.assert_match(response_json_data) @pytest.mark.api_full async def test_first_page_paginator(self, snapshot, backend_app, products_149): api_url = f"{API_URL_PREFIX}/product" # open first paginator page response = await backend_app.get(api_url, query_string=dict(page=1)) assert response.status_code == 200 response_json_data = response.json() self.validate_response(response_json_data) # check pagination links self.validate_links( response_json_data.pop("links"), url=api_url, last_page_num=3, next_page_num=2, prev_page_num=None, self_page_num=1, ) snapshot.assert_match(response_json_data) @pytest.mark.api_full async def test_last_page_paginator(self, snapshot, backend_app, products_149): api_url = f"{API_URL_PREFIX}/product" # open last paginator page response = await backend_app.get(api_url, query_string=dict(page=3)) assert response.status_code == 200 response_json_data = response.json() self.validate_response(response_json_data) # check pagination links self.validate_links( response_json_data.pop("links"), url=api_url, last_page_num=3, next_page_num=None, prev_page_num=2, self_page_num=3, ) snapshot.assert_match(response_json_data) @pytest.mark.api_full async def test_reduced_qs_paginator(self, snapshot, backend_app, products_149): api_url = f"{API_URL_PREFIX}/product" # reduce QS size response = await backend_app.get(api_url, query_string=dict(size=10)) assert response.status_code == 200 response_json_data = response.json() self.validate_response(response_json_data) # check pagination links self.validate_links( response_json_data.pop("links"), url=api_url, size=10, last_page_num=15, next_page_num=2, prev_page_num=None, self_page_num=None, ) snapshot.assert_match(response_json_data) @pytest.mark.api_full async def test_last_page_reduced_qs_paginator( self, snapshot, backend_app, products_149 ): api_url = f"{API_URL_PREFIX}/product" # open last page with reduced QS size response = await backend_app.get(api_url, query_string=dict(page=15, size=10)) assert response.status_code == 200 response_json_data = response.json() self.validate_response(response_json_data) # check pagination links self.validate_links( response_json_data.pop("links"), url=api_url, size=10, last_page_num=15, next_page_num=None, prev_page_num=14, self_page_num=15, ) snapshot.assert_match(response_json_data) @pytest.mark.api_full async def test_empty_page_reduced_qs_paginator( self, snapshot, backend_app, products_149 ): api_url = f"{API_URL_PREFIX}/product" # open empty page with reduced QS size response = await backend_app.get(api_url, query_string=dict(page=16, size=10)) assert response.status_code == 200 response_json_data = response.json() self.validate_response(response_json_data) # check pagination links self.validate_links( response_json_data.pop("links"), url=api_url, size=10, last_page_num=15, next_page_num=None, prev_page_num=15, self_page_num=16, ) snapshot.assert_match(response_json_data) class TestWishlistPaginator(PaginatorValidator): """Wishlist paginator extra tests.""" @staticmethod def validate_response(json_data: dict): response_data = json_data["data"] for product in response_data: assert "id" in product product.pop("id", None) return json_data @pytest.mark.api_full async def test_default_paginator(self, snapshot, backend_app, empty_wishlists_149): api_url = f"{API_URL_PREFIX}/wishlist" # open default page response = await backend_app.get(api_url) assert response.status_code == 200 response_json_data = response.json() self.validate_response(response_json_data) # check pagination links self.validate_links( response_json_data.pop("links"), url=api_url, last_page_num=3, next_page_num=2, prev_page_num=None, self_page_num=None, ) snapshot.assert_match(response_json_data) @pytest.mark.api_full async def test_next_page_paginator( self, snapshot, backend_app, empty_wishlists_149 ): api_url = f"{API_URL_PREFIX}/wishlist" # open next paginator page response = await backend_app.get(api_url, query_string=dict(page=2)) assert response.status_code == 200 response_json_data = response.json() self.validate_response(response_json_data) # check pagination links self.validate_links( response_json_data.pop("links"), url=api_url, last_page_num=3, next_page_num=3, prev_page_num=1, self_page_num=2, ) snapshot.assert_match(response_json_data) @pytest.mark.api_full async def test_first_page_paginator( self, snapshot, backend_app, empty_wishlists_149 ): api_url = f"{API_URL_PREFIX}/wishlist" # open first paginator page response = await backend_app.get(api_url, query_string=dict(page=1)) assert response.status_code == 200 response_json_data = response.json() self.validate_response(response_json_data) # check pagination links self.validate_links( response_json_data.pop("links"), url=api_url, last_page_num=3, next_page_num=2, prev_page_num=None, self_page_num=1, ) snapshot.assert_match(response_json_data) @pytest.mark.api_full async def test_last_page_paginator( self, snapshot, backend_app, empty_wishlists_149 ): api_url = f"{API_URL_PREFIX}/wishlist" # open last paginator page response = await backend_app.get(api_url, query_string=dict(page=3)) assert response.status_code == 200 response_json_data = response.json() self.validate_response(response_json_data) # check pagination links self.validate_links( response_json_data.pop("links"), url=api_url, last_page_num=3, next_page_num=None, prev_page_num=2, self_page_num=3, ) snapshot.assert_match(response_json_data) @pytest.mark.api_full async def test_reduced_qs_paginator( self, snapshot, backend_app, empty_wishlists_149 ): api_url = f"{API_URL_PREFIX}/wishlist" # reduce QS size response = await backend_app.get(api_url, query_string=dict(size=10)) assert response.status_code == 200 response_json_data = response.json() self.validate_response(response_json_data) # check pagination links self.validate_links( response_json_data.pop("links"), url=api_url, size=10, last_page_num=15, next_page_num=2, prev_page_num=None, self_page_num=None, ) snapshot.assert_match(response_json_data) @pytest.mark.api_full async def test_last_page_reduced_qs_paginator( self, snapshot, backend_app, empty_wishlists_149 ): api_url = f"{API_URL_PREFIX}/wishlist" # open last page with reduced QS size response = await backend_app.get(api_url, query_string=dict(page=15, size=10)) assert response.status_code == 200 response_json_data = response.json() self.validate_response(response_json_data) # check pagination links self.validate_links( response_json_data.pop("links"), url=api_url, size=10, last_page_num=15, next_page_num=None, prev_page_num=14, self_page_num=15, ) snapshot.assert_match(response_json_data) @pytest.mark.api_full async def test_empty_page_reduced_qs_paginator( self, snapshot, backend_app, empty_wishlists_149 ): api_url = f"{API_URL_PREFIX}/wishlist" # open empty page with reduced QS size response = await backend_app.get(api_url, query_string=dict(page=16, size=10)) assert response.status_code == 200 response_json_data = response.json() self.validate_response(response_json_data) # check pagination links self.validate_links( response_json_data.pop("links"), url=api_url, size=10, last_page_num=15, next_page_num=None, prev_page_num=15, self_page_num=16, ) snapshot.assert_match(response_json_data)

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