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How to use test_down method in uiautomator
Best Python code snippet using uiautomator
test_DoodleFileClass.py
Source:test_DoodleFileClass.py 
...14 doodleset.projectname = "dubuxiaoyao"15 core = DoodleServer.DoodleCore.PrjAss(doodleset)16 ass_ue_prj = DoodleServer.DoodleBaseClass.assUePrj(core, doodleset)17 return core, ass_ue_prj18 def test_down(self, create_obj):19 core, ueprj = create_obj20 core.file_class = DoleOrm.fileClass(id=1, file_class="character")21 core.ass_class = DoleOrm.assClass(id=99, file_name='10GeZhongJingXiuXianZhe')22 core.file_type = DoleOrm.fileType(id=270, file_type='10GeZhongJingXiuXianZhe_UE4')23 core.query_id = 124 path = ueprj.down()25 print(path.as_posix())26 def test_upload(self, create_obj):27 core, ueprj = create_obj28 core.file_class = core.queryAssClass()[0]29 # core.file_class = DoleOrm.fileClass(id=1, file_class="character")30 core.ass_class = core.file_class.addass_class[1]31 core.file_type = core.ass_class.addfileType[0]32 core.query_id = 133 ueprj.upload(pathlib.Path(r"D:/Doodle_cache/03_Workflow/Assets/character/"34 r"10GeZhongJingXiuXianZhe/Scenefiles/10GeZhongJ"35 r"ingXiuXianZhe_UE4/CH_Projects.uproject"))36 def test_appoint(self, create_obj):37 core, ueprj = create_obj38 core.file_class = core.queryAssClass()[0]39 # core.file_class = DoleOrm.fileClass(id=1, file_class="character")40 core.ass_class = core.file_class.addass_class[1]41 core.file_type = core.ass_class.addfileType[0]42 core.query_id = 143 ueprj.appoint(pathlib.Path(r"D:/Doodle_cache/03_Workflow/Assets/character/"44 r"10GeZhongJingXiuXianZhe/Scenefiles/10GeZhongJ"45 r"ingXiuXianZhe_UE4/CH_Projects.uproject"))46class TestAssScreenshot:47 @pytest.fixture()48 def create_obj(self) -> typing.Tuple[DoodleServer.DoodleCore.PrjAss, DoodleServer.DoodleBaseClass.assScreenshot]:49 doodleset = DoodleServer.DoodleSet.Doodlesetting()50 doodleset.projectname = "dubuxiaoyao"51 core = DoodleServer.DoodleCore.PrjAss(doodleset)52 ass_screenshot = DoodleServer.DoodleBaseClass.assScreenshot(core, doodleset)53 return core, ass_screenshot54 def test_upload(self, create_obj):55 core, ass_screenshot = create_obj56 core.file_class = core.queryAssClass()[0]57 # core.file_class = DoleOrm.fileClass(id=1, file_class="character")58 core.ass_class = core.file_class.addass_class[1]59 core.file_type = DoleOrm.fileType(file_type="test")60 with ass_screenshot.upload() as path:61 shutil.copy2(r"D:\test\test.jpg", path)62 def test_down(self, create_obj):63 core, ass_screenshot = create_obj64 core.file_class = core.queryAssClass()[0]65 # core.file_class = DoleOrm.fileClass(id=1, file_class="character")66 core.ass_class = core.file_class.addass_class[1]67 core.file_type = DoleOrm.fileType(file_type="test")68 print(ass_screenshot.down())69class TestAssFBFile:70 @pytest.fixture()71 def create_obj(self) -> typing.Tuple[DoodleServer.DoodleCore.PrjAss, DoodleServer.DoodleBaseClass.assFBFile]:72 doodleset = DoodleServer.DoodleSet.Doodlesetting()73 doodleset.projectname = "dubuxiaoyao"74 core = DoodleServer.DoodleCore.PrjAss(doodleset)75 ass_ass_fb_file = DoodleServer.DoodleBaseClass.assFBFile(core, doodleset)76 return core, ass_ass_fb_file77 def test_upload(self, create_obj):78 core, ass_ass_fb_file = create_obj79 core.file_class = core.queryAssClass()[0]80 core.ass_class = core.file_class.addass_class[1]81 ass_ass_fb_file.upload(pathlib.Path(r"D:\sc_064\BuJu.1078.png"))82 def test_down(self, create_obj):83 core, ass_ass_fb_file = create_obj84 core.file_class = core.queryAssClass()[0]85 core.ass_class = core.file_class.addass_class[1]86 core.query_id = 487 print(ass_ass_fb_file.down())88class TestAssMayaFile:89 @pytest.fixture()90 def create_obj(self) -> typing.Tuple[DoodleServer.DoodleCore.PrjAss, DoodleServer.DoodleBaseClass.assMayaFile]:91 doodleset = DoodleServer.DoodleSet.Doodlesetting()92 doodleset.projectname = "dubuxiaoyao"93 core = DoodleServer.DoodleCore.PrjAss(doodleset)94 ass_maya_file = DoodleServer.DoodleBaseClass.assMayaFile(core, doodleset)95 return core, ass_maya_file96 def test_upload(self, create_obj):97 core, ass_maya_file = create_obj98 core.file_class = core.queryAssClass()[0]99 core.ass_class = core.file_class.addass_class[1]100 core.file_type = core.ass_class.addfileType[1]101 ass_maya_file.upload(pathlib.Path(r"D:\DBXY_004_035.mb"))102 print(core.file_type.file_type)103 def test_down(self, create_obj):104 core, ass_maya_file = create_obj105 core.file_class = core.queryAssClass()[0]106 core.ass_class = core.file_class.addass_class[1]107 core.file_type = core.ass_class.addfileType[1]108 core.query_id = 254109 # ass_maya_file.down()110 print(ass_maya_file.down())111# ==================================================================================================================112# shotç±»æµè¯æ¹æ³113class TestShotMayaFile:114 @pytest.fixture()115 def create_obj(self) -> typing.Tuple[DoodleServer.DoodleCore.PrjShot, DoodleServer.DoodleBaseClass.shotMayaFile]:116 doodleset = DoodleServer.DoodleSet.Doodlesetting()117 doodleset.projectname = "dubuxiaoyao"118 core = DoodleServer.DoodleCore.PrjShot(doodleset)119 shot_maya_file = DoodleServer.DoodleBaseClass.shotMayaFile(core, doodleset)120 return core, shot_maya_file121 def testUpload(self, create_obj):122 core, shot_maya_file = create_obj123 core.episodes = core.queryEps()[0]124 core.shot = core.episodes.addShot[0]125 core.file_class = core.shot.addfileClass[0]126 core.file_type = core.file_class.addfileType[0]127 shot_maya_file.upload(pathlib.Path(r"D:\DBXY_004_035.mb"))128 def testDown(self, create_obj):129 core, shot_maya_file = create_obj130 core.episodes = core.queryEps()[0]131 core.shot = core.episodes.addShot[0]132 core.file_class = core.shot.addfileClass[0]133 core.file_type = core.file_class.addfileType[0]134 core.query_id = 1270135 print(shot_maya_file.down())136class TestShotFBFile:137 @pytest.fixture()138 def create_obj(self) -> typing.Tuple[DoodleServer.DoodleCore.PrjShot, DoodleServer.DoodleBaseClass.shotFBFile]:139 doodleset = DoodleServer.DoodleSet.Doodlesetting()140 doodleset.projectname = "dubuxiaoyao"141 core = DoodleServer.DoodleCore.PrjShot(doodleset)142 shot_fb_file = DoodleServer.DoodleBaseClass.shotFBFile(core, doodleset)143 return core, shot_fb_file144 def test_upload(self, create_obj):145 core, shot_fb_file = create_obj146 core.episodes = core.queryEps()[0]147 core.shot = core.episodes.addShot[0]148 core.file_class = core.shot.addfileClass[0]149 core.file_type = core.file_class.addfileType[0]150 shot_fb_file.upload(pathlib.Path(r"D:\sc_064\BuJu.1078.png"))151 def test_down(self, create_obj):152 core, shot_fb_file = create_obj153 core.episodes = core.queryEps()[0]154 core.shot = core.episodes.addShot[0]155 core.file_class = core.shot.addfileClass[0]156 core.file_type = core.file_class.addfileType[0]157 core.query_id = 666158 print(shot_fb_file.down())159class TestShotFbEpsiodesFile:160 @pytest.fixture()161 def create_obj(self) -> typing.Tuple[DoodleServer.DoodleCore.PrjShot, DoodleServer.DoodleBaseClass.shotFbEpisodesFile]:162 doodleset = DoodleServer.DoodleSet.Doodlesetting()163 doodleset.projectname = "dubuxiaoyao"164 core = DoodleServer.DoodleCore.PrjShot(doodleset)165 shot_fb_eps_file = DoodleServer.DoodleBaseClass.shotFbEpisodesFile(core, doodleset)166 return core, shot_fb_eps_file167 def test_makeEpsFB(self, create_obj):168 core, shot_fb_eps_file = create_obj169 core.episodes = core.queryEps()[24]170 print(shot_fb_eps_file.makeEpisodesFlipBook())171 def test_down(self, create_obj):172 core, shot_fb_eps_file = create_obj173 core.episodes = core.queryEps()[24]174 print(shot_fb_eps_file.down())175class TestShotMayaExportFile:176 @pytest.fixture()177 def create_obj(self) -> typing.Tuple[DoodleServer.DoodleCore.PrjShot, DoodleServer.DoodleBaseClass.shotMayaExportFile]:178 doodleset = DoodleServer.DoodleSet.Doodlesetting()179 doodleset.projectname = "dubuxiaoyao"180 core = DoodleServer.DoodleCore.PrjShot(doodleset)181 shot_export_file = DoodleServer.DoodleBaseClass.shotMayaExportFile(core, doodleset)182 return core, shot_export_file183 def test_down(self, create_obj):184 core, shot_export_file = create_obj185 core.episodes = core.queryEps()[24]186 core.shot = core.episodes.addShot[26]187 core.file_class = core.shot.addfileClass[0]188 core.file_type = core.file_class.addfileType[2]189 core.query_file = core.file_type.addshotMayaAnmExport[0]190 print(shot_export_file.down())191 pass192 def test_export(self, create_obj):193 core, shot_export_file = create_obj194 core.episodes = core.queryEps()[24]195 core.shot = core.episodes.addShot[26]196 core.file_class = core.shot.addfileClass[0]197 core.file_type = core.file_class.addfileType[0]198 core.query_file = core.file_type.addshotMayaAnmScane[0]199 shot_export_file.export()200class TestshotMayaClothExportFile:201 @pytest.fixture()202 def create_obj(self) -> typing.Tuple[203 DoodleServer.DoodleCore.PrjShot, DoodleServer.DoodleBaseClass.shotMayaClothExportFile]:204 doodleset = DoodleServer.DoodleSet.Doodlesetting()205 doodleset.projectname = "dubuxiaoyao"206 core = DoodleServer.DoodleCore.PrjShot(doodleset)207 shot_export_file = DoodleServer.DoodleBaseClass.shotMayaClothExportFile(core, doodleset)208 return core, shot_export_file209 def test_dow(self, create_obj):210 core, shot_export_file = create_obj211 core.episodes = core.queryEps()[14]212 core.shot = DoleOrm.Shot(shot_=34, episodes=core.episodes)213 uplist = list(pathlib.Path(r"D:\Doodle_cache\03_Workflow\Shots\ep015\sc0034\export_clothToFbx\VFX\clothToFbx")214 .iterdir())215 uplist.append(uplist.pop(0))216 shot_export_file.upload(uplist)217 def test_down(self, create_obj):218 core, shot_export_file = create_obj219 core.episodes = core.queryEps()[14]220 core.shot = core.episodes.addShot[0]221 core.file_class = core.shot.addfileClass[0]222 core.file_type = core.file_class.addfileType[0]223 core.query_file = core.file_type.addshotMayaAnmExport[0]224 shot_export_file.down()225class TestshotScreenshot:226 @pytest.fixture()227 def create_obj(self) -> typing.Tuple[228 DoodleServer.DoodleCore.PrjShot, DoodleServer.DoodleBaseClass.shotScreenshot]:229 doodleset = DoodleServer.DoodleSet.Doodlesetting()230 doodleset.projectname = "dubuxiaoyao"231 core = DoodleServer.DoodleCore.PrjShot(doodleset)232 shot_screenshot = DoodleServer.DoodleBaseClass.shotScreenshot(core, doodleset)233 return core, shot_screenshot234 def test_upload(self,create_obj):235 core, shot_screenshot = create_obj236 core.episodes = core.queryEps()[14]237 core.shot = core.episodes.addShot[0]238 with shot_screenshot.upload() as path:239 shutil.copy2(pathlib.Path(r"D:\test\test.jpg"),path)240 def test_down(self,create_obj):241 core, shot_screenshot = create_obj242 core.episodes = core.queryEps()[14]243 core.shot = core.episodes.addShot[0]244 core.file_class = core.shot.addfileClass[0]245 core.file_type = core.file_class.addfileType[1]246 core.query_file = core.file_type.addshotScreenshot[0]...
tictactoe.py
Source:tictactoe.py
1"""2Tic Tac Toe Player3"""4import math5from copy import deepcopy6X = "X"7O = "O"8EMPTY = None9def initial_state():10 """11 Returns starting state of the board.12 """13 return [[EMPTY, EMPTY, EMPTY],14 [EMPTY, EMPTY, EMPTY],15 [EMPTY, EMPTY, EMPTY]]16def player(board):17 """18 Returns player who has the next turn on a board.19 """20 if (board[0] + board[1] + board[2]).count(EMPTY) % 2 == 1:21 return X22 return O23def actions(board):24 """25 Returns set of all possible actions (i, j) available on the board.26 """27 available = set()28 # loop thru each place on the board. if EMPTY, add coordinates (i, j) to open set29 for i, row in enumerate(board):30 for j, spot in enumerate(row):31 if spot == EMPTY:32 available.add((i, j))33 return available34def result(board, action):35 """36 Returns the board that results from making move (i, j) on the board.37 """38 # if invalid action, raise exception39 row, cell = action[0], action[1]40 if board[row][cell] != EMPTY:41 raise Exception("Invalid move.")42 board_copy = deepcopy(board)43 # determine player making move44 turn = player(board_copy)45 board_copy[action[0]][action[1]] = turn46 return board_copy47def winner(board):48 """49 Returns the winner of the game, if there is one.50 """51 for i, row in enumerate(board):52 # winner via 3 across53 if row.count(X) == 3 or row.count(O) == 3:54 return row[0]55 # winner via 3 down56 test_down = []57 for j in range(0, 3):58 test_down.append(board[j][i])59 if test_down.count(X) == 3 or test_down.count(O) == 3:60 return test_down[0]61 # winner via 3 diagonal62 if [board[0][0], board[1][1], board[2][2]].count(X) == 3 or [board[0][0], board[1][1], board[2][2]].count(O) == 3:63 return board[0][0]64 if [board[0][2], board[1][1], board[2][0]].count(X) == 3 or [board[0][2], board[1][1], board[2][0]].count(O) == 3:65 return board[0][2]66 # else no winner67 return None68def terminal(board):69 """70 Returns True if game is over, False otherwise.71 """72 if winner(board) is not None or (board[0] + board[1] + board[2]).count(EMPTY) == 0:73 return True74 return False75def utility(board):76 """77 Returns 1 if X has won the game, -1 if O has won, 0 otherwise.78 """79 if winner(board) == X:80 return 181 elif winner(board) == O:82 return -183 else:84 return 085def minimax(board):86 """87 Returns the optimal action for the current player on the board.88 """89 if terminal(board):90 return None91 if player(board) == X:92 return max_value(deepcopy(board), board)93 return min_value(deepcopy(board), board)94def max_value(board, og):95 if terminal(board):96 return utility(board)97 v, goal, potential = -math.inf, 1, {}98 for i, action in enumerate(actions(board)):99 val = min_value(result(board, action), og)100 v = max(v, val)101 # perform check on moves available from current state102 if len(actions(board)) - len(actions(og)) == 0:103 if val == goal:104 return action105 potential[val] = action106 # all current actions evaluated, return best option107 if i + 1 == len(actions(board)):108 return potential[max(potential.keys())]109 return v110def min_value(board, og):111 if terminal(board):112 return utility(board)113 v, goal, potential = math.inf, -1, {}114 for i, action in enumerate(actions(board)):115 val = max_value(result(board, action), og)116 v = min(v, val)117 # perform check on moves available from current state118 if len(actions(board)) - len(actions(og)) == 0:119 if val == goal:120 return action121 potential[val] = action122 # all current actions evaluated, return best option123 if i + 1 == len(actions(board)):124 return potential[min(potential.keys())]...
split_to_folds.py
Source:split_to_folds.py
1import numpy as np2import scipy as scp3import scipy.io4from v2 import utils5data = scp.io.loadmat("dataset/features.mat")6labels = data['labels'].reshape((2000, 1)).astype(int)7features = data['features'].reshape((2000, 1024, 5, 1))8def split_to_folds(np_arr, prefix):9 """10 Splits the full array of ESC-50 by extracting test fold and combining other folds into one array.11 Full array of ESC-50 contains 2000 examples organized into 5 folds. This function gets consecutively12 each fold and produces:13 test_[LABEL OR TRAINING DATA]_fold_[NUMBER OF TEST FOLD].npy14 train_[LABEL OR TRAINING DATA]_fold_[NUMBER OF TEST FOLD].npy (except test fold all others are combined here)15 :param np_arr: full NumPy array of ESC-50 dataset converted into mel spectrogram16 :param prefix: defines prefix for distinquishing labels and training data17 """18 total_examples = np_arr.shape[0]19 num_folds = 520 test_length = int(total_examples / num_folds)21 for i in range(num_folds):22 test_up = i * test_length23 test_down = (i + 1) * test_length24 tr_up_1 = 025 tr_down_1 = test_up26 tr_up_2 = test_down27 tr_down_2 = total_examples28 tr_fold = split_arr(arr=np_arr, up1=tr_up_1, down1=tr_down_1, up2=tr_up_2, down2=tr_down_2)29 test_fold = slice_arr(np_arr, test_up, test_down)30 print("\n\nSaving " + prefix + " fold " + str(i + 1))31 np.save("dataset/train_" + prefix + "_fold_" + str(i + 1) + ".npy", tr_fold)32 np.save("dataset/test_" + prefix + "_fold_" + str(i + 1) + ".npy", test_fold)33 print("Test: [" + str(test_up) + " : " + str(test_down)34 + "] Train: [" + str(tr_up_1) + " : " + str(tr_down_1) + "], ["35 + str(tr_up_2) + " : " + str(tr_down_2) + "]")36def split_arr(arr, up1, down1, up2, down2):37 s1 = slice_arr(arr, up1, down1)38 s2 = slice_arr(arr, up2, down2)39 if s1 is None and s2 is None:40 raise RuntimeError()41 if s1 is None:42 return s243 if s2 is None:44 return s145 return np.concatenate((s1, s2))46def slice_arr(arr, up, down):47 s1 = None48 if up != down:49 s1 = arr[up:down]50 return s151split_to_folds(labels, "labels")...
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