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How to use list_snapshots method in tempest

Best Python code snippet using tempest_python

dataset.py

Source:dataset.py

1DEFAULT_NUM = 0.982class Dataset:3    def __init__(self, size_window_left=None, size_window_right=None):4        self.output_file = None5        self.size_window_left = size_window_left6        self.size_window_right = size_window_right7        self.file_swarm = None8        self.file_swarm_lines = None9        self.current_file_swarm_line = None10    def load_samples(self, swarm_file):11        try:12            self.file_swarm = open(swarm_file, 'r')13            self.file_swarm_lines = self.file_swarm.readline()14            self.current_file_swarm_line = self.file_swarm_lines15        except FileNotFoundError:16            print("File swarm not found!")17            exit()18    def load_next_peer(self):19        list_peer_snapshots = []20        while True:21            if self.file_swarm_lines[0] == "#":22                self.file_swarm_lines = self.file_swarm.readline()23                continue #skipt #commented line24            line_loaded = self.file_swarm_lines.split(' ')25            line_file_read = [int(line_loaded[2]), int(line_loaded[0]), 1]26            list_peer_snapshots.append(line_file_read)27            self.file_swarm_lines = self.file_swarm.readline()28            try:29                if self.file_swarm_lines == "":30                    return list_peer_snapshots, 031                if int(self.file_swarm_lines.split(' ')[2]) != line_file_read[0]:32                    return list_peer_snapshots, 133            except IndexError:34                return list_peer_snapshots, 135    def load_next_peer_mif(self):36        POS_PEER = 037        POS_SNAPSHOT = 138        list_peer_snapshots = []39        while True:40            if self.current_file_swarm_line[0] == "#":41                self.current_file_swarm_line = self.file_swarm.readline()42                continue #skip it #commented line43            # peer snapshot44            line_split = self.current_file_swarm_line.split(' ')45            peer = int(line_split[POS_PEER])       #46            snapshot = int(line_split[POS_SNAPSHOT])   #47            line_file_read = [peer, snapshot, 1] #TODO: check48            list_peer_snapshots.append(line_file_read)49            self.current_file_swarm_line = self.file_swarm.readline()50            try:51                if self.current_file_swarm_line == "":52                    return list_peer_snapshots, 053                #if the next line is about another peer, get out54                if int(self.current_file_swarm_line.split(' ')[POS_PEER]) != peer:55                    return list_peer_snapshots, 156            except IndexError:57                return list_peer_snapshots, 158    def load_next_peer2(self):59        list_peer_snapshots = []60        while True:61            self.file_swarm_lines = self.file_swarm.readline()62            # linha comentada63            if self.file_swarm_lines[0] == "#":64                self.file_swarm_lines = self.file_swarm.readline()65                continue #skipt #commented line66            #linha vazia/ bugada67            try:68                if self.file_swarm_lines == "":69                    return list_peer_snapshots, 070                if int(self.file_swarm_lines.split(' ')[2]) != line_file_read[0]:71                    return list_peer_snapshots, 172            except IndexError:73                return list_peer_snapshots, 174            # linha ok75            line_loaded = self.file_swarm_lines.split(' ')76            line_file_read = [int(line_loaded[2]), int(line_loaded[0]), 1]77            list_peer_snapshots.append(line_file_read)78    @staticmethod79    def fill_gaps_per_peer(list_snapshots):80        #print('snapshots input : {}'.format(list_snapshots))81        list_snapshots.sort(key=lambda x: x[1])82        if not len(list_snapshots[-1]) != 0:83            return 084        iterator, iterator_list, temporary_list = list_snapshots[0][1], 0, []85        while iterator < int(list_snapshots[-1][1]):86            if list_snapshots[iterator_list][1] != iterator:87                temporary_list.append([int(list_snapshots[1][0]), int(iterator), 0])88            else:89                temporary_list.append(list_snapshots[iterator_list])90                iterator_list += 191            iterator += 192        temporary_list.append(list_snapshots[-1])93        #print('snapshots output: {}'.format(temporary_list))94        #sys.exit()95        return temporary_list96    def filling_borders(self, list_snapshots):97        window_left = [[list_snapshots[0][0], -1, 0]] * self.size_window_left98        window_right = [[list_snapshots[0][0], -1, 0]] * self.size_window_left99        return window_left + list_snapshots + window_right100    def create_windows(self, list_snapshots):101        list_x, list_y, list_support = [], [], []102        try:103            for i in range(self.size_window_left, len(list_snapshots) - self.size_window_right):104                list_x.append(list_snapshots[(i - self.size_window_left):(i + self.size_window_right + 1)])105                list_y.append(list_snapshots[i][2])106                list_support.append(list_snapshots[i])107            return list_x, list_y, list_support108        except IndexError:109            return [], []110    @staticmethod111    def get_samples_vectorized(sample, out):112        sample_vectorized = []113        for i in range(len(sample)):114            sample_vectorized.append(float(sample[i][2]))115        return sample_vectorized, float(out)116    def create_sample_training(self, list_snapshots):117        sample_x, sample_y = [], []118        list_x, list_y, list_support = self.create_windows(list_snapshots)119        for i in range(len(list_x)):120            x, y = self.get_samples_vectorized(list_x[i], list_y[i])121            sample_x.append(x)122            sample_y.append(float(y))123        return sample_x, sample_y, list_support124    def get_training_samples(self, list_snapshots):125        x, y, support_samples = self.create_sample_training(list_snapshots)126        for i in range(len(x)):127            true_position_left = False128            for j in range(2):129                if x[i][self.size_window_left-j-1] > DEFAULT_NUM:130                    true_position_left = True131            true_position_right = False132            for j in range(2):133                if x[i][self.size_window_left + j+1] > DEFAULT_NUM:134                    true_position_right = True135            if (not true_position_left) or (not true_position_right):136                y[i] = float(0)137            if x[i][self.size_window_left-1] > DEFAULT_NUM and x[i][self.size_window_left+1] > DEFAULT_NUM:138                y[i] = float(1)139            x[i][self.size_window_left] = float(0)140            x[i] = [float(i) for i in x[i]]141        return x, y, support_samples142    def get_predict_samples(self, list_snapshots):143        x, y, support_samples = self.create_sample_training(list_snapshots)144        for i in range(len(x)):145            x[i][self.size_window_left] = float(0)146            x[i] = [float(i) for i in x[i]]147        return x, y, support_samples148    def create_file_results(self, file_results):149        self.output_file = open(file_results, 'w')150    def write_swarm(self, values):151        for i in values:152            output_result_format = str(i[1]) + ' ' + str(i[0]) + ' ' + str(i[2]) + '\n'...

aciconfigdb_test.py

Source:aciconfigdb_test.py

...45        self.fake_out = FakeStdio()46        sys.stdout = self.fake_out47    def tearDown(self):48        sys.stdout = self.stdout49    def test_basic_list_snapshots(self):50        """51        Test the basic snapshot52        """53        # Set the arguments to just list the snapshot versions54        self.args.list_snapshots = True55        # Call the tool to list the snapshots56        aciconfigdb.main(self.args)57        # Check the output58        self.assertEquals(self.fake_out.output[0], 'Versions')59        self.assertEquals(self.fake_out.output[1], '\n')60    def test_basic_snapshot_v1(self):61        """62        Test the basic snapshot63        """...

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