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How to use a method in devicefarmer-stf

Best JavaScript code snippet using devicefarmer-stf

rnn.py

Source:rnn.py

...83        return x, (h_n, c_n)84    def predict(self, token, h=None, cuda=False, top_k=None):85        """Given a token, predict the next token. Return the token and hidden state."""86        if cuda:87            self.cuda()88        else:89            self.cpu()90        if h is None:91            h = self.init_hidden(1)92        x = np.array([[self.tok_to_int[token]]])93        x = one_hot_encode(x, self.vocab)94        inputs = torch.from_numpy(x)95        if cuda:96            inputs = inputs.cuda()97        h = tuple([m.data for m in h])98        # Out = score distribution99        out, h = self.forward(inputs, h)100        # Outputs a distribution of next-token scores.101        # Get actual token by applying a softmax function (gives probability102        # distribution) that we can sample to predict the next token.103        p = F.softmax(out, dim=1).data104        if cuda:105            p = p.cpu()106        if top_k is None:107            top_token = np.arange(len(self.tokens))108        else:109            p, top_ph = p.topk(top_k)110            top_token = top_ph.numpy().squeeze()111        p = p.numpy().squeeze()112        pred_token = np.random.choice(top_token, p=p / p.sum())113        return self.int_to_tok[pred_token], h114    def init_weights(self):115        """Initialize weights for fully connected layer."""116        # Set bias tensor117        self.fc.bias.data.fill_(0)118        # Uniform random FC weights119        self.fc.weight.data.uniform_(-1, 1)120    def init_hidden(self, _n_seqs):121        """Create two new tensors for hidden and cell state of LSTM.122        Tensor shape is (n_layers, n_seqs, n_hidden)123        """124        weight = next(self.parameters()).data125        return (126            weight.new(self.n_layers, _n_seqs, self.n_hidden).zero_(),127            weight.new(self.n_layers, _n_seqs, self.n_hidden).zero_(),128        )129def train(130    network: RNN,131    data: np.ndarray,132    epochs: int = 10,133    _n_seqs: int = 10,134    _n_steps: int = 50,135    lr: int = 0.001,136    clip: int = 5,137    val_frac: int = 0.2,138    cuda: bool = False,139    print_every: int = 10,140):141    """Train RNN."""142    network.train()143    opt = torch.optim.Adam(network.parameters(), lr=lr)144    criterion = nn.CrossEntropyLoss()145    val_idx = int(len(data) * (1 - val_frac))146    data, val_data = data[:val_idx], data[val_idx:]147    if cuda:148        network.cuda()149    step = 0150    train_loss = []151    validation_loss = []152    for i in range(epochs):153        h = network.init_hidden(_n_seqs)154        for x, y in get_batches(data, _n_seqs, _n_steps):155            step += 1156            # One-hot encode, make Torch tensors157            x = one_hot_encode(x, network.vocab)158            inputs, targets = torch.from_numpy(x), torch.from_numpy(y)159            if cuda:160                inputs, targets = inputs.cuda(), targets.cuda()161            h = tuple([m.data for m in h])162            network.zero_grad()163            output, h = network.forward(inputs, h)164            loss = criterion(output, targets.view(_n_seqs * _n_steps))165            loss.backward()166            # Avoid exploding gradients167            nn.utils.clip_grad_norm_(network.parameters(), clip)168            opt.step()169            if step % print_every == 0:170                # Validation loss171                val_h = network.init_hidden(_n_seqs)172                val_losses = []173                for x, y in get_batches(val_data, _n_seqs, _n_steps):174                    x = one_hot_encode(x, network.vocab)175                    x, y = torch.from_numpy(x), torch.from_numpy(y)176                    val_h = tuple([m.data for m in val_h])177                    inputs, targets = x, y178                    if cuda:179                        inputs, targets = inputs.cuda(), targets.cuda()180                    output, val_h = network.forward(inputs, val_h)181                    val_loss = criterion(output, targets.view(_n_seqs * _n_steps))182                    val_losses.append(val_loss.item())183                train_loss.append(loss.item())184                validation_loss.append(np.mean(val_losses))185                print(186                    f"Epoch: {i + 1} / {epochs},",187                    f"Step: {step},",188                    f"Loss: {loss.item():.4f},",189                    "Val Loss: {:.4f}".format(np.mean(val_losses)),190                )191    return train_loss, validation_loss192def top_k_sample(network, prediction_type, size, prime="The", top_k=None, cuda=False):193    """Sample prediction from the RNN's score probability distribution."""194    if cuda:195        network.cuda()196    else:197        network.cpu()198    network.eval()199    if prediction_type in ("word", "phoneme"):200        if len(prime.split(" ")) == 1:201            tokens = [prime]202        else:203            tokens = prime.split(" ")204        h = network.init_hidden(1)205        for w in tokens:206            tok, h = network.predict(w, h, cuda=cuda, top_k=top_k)207        tokens.append(tok)208        for i in range(size):209            tok, h = network.predict(tokens[-1], h, cuda=cuda, top_k=top_k)...

gu.js

Source:gu.js

1//! moment.js locale configuration2//! locale : Gujarati [gu]3//! author : Kaushik Thanki : https://github.com/Kaushik19874;(function (global, factory) {5   typeof exports === 'object' && typeof module !== 'undefined'6       && typeof require === 'function' ? factory(require('../moment')) :7   typeof define === 'function' && define.amd ? define(['../moment'], factory) :8   factory(global.moment)9}(this, (function (moment) { 'use strict';10    //! moment.js locale configuration11    var symbolMap = {12            1: 'à«§',13            2: 'à«¨',14            3: 'à«©',15            4: 'à«ª',16            5: 'à««',17            6: 'à«¬',18            7: 'à«',19            8: 'à«®',20            9: 'à«¯',21            0: 'à«¦',22        },23        numberMap = {24            'à«§': '1',25            'à«¨': '2',26            'à«©': '3',27            'à«ª': '4',28            'à««': '5',29            'à«¬': '6',30            'à«': '7',31            'à«®': '8',32            'à«¯': '9',33            'à«¦': '0',34        };35    var gu = moment.defineLocale('gu', {36        months: 'àªàª¾àª¨à«àª¯à«àªàª°à«_àª«à«àª¬à«àª°à«àªàª°à«_àª®àª¾àª°à«àª_àªàªªà«àª°àª¿àª²_àª®à«_àªà«àª¨_àªà«àª²àª¾àª_àªàªàª¸à«àª_àª¸àªªà«àªà«àª®à«àª¬àª°_àªàªà«àªà«àª¬àª°_àª¨àªµà«àª®à«àª¬àª°_àª¡àª¿àª¸à«àª®à«àª¬àª°'.split(37            '_'38        ),39        monthsShort: 'àªàª¾àª¨à«àª¯à«._àª«à«àª¬à«àª°à«._àª®àª¾àª°à«àª_àªàªªà«àª°àª¿._àª®à«_àªà«àª¨_àªà«àª²àª¾._àªàª._àª¸àªªà«àªà«._àªàªà«àªà«._àª¨àªµà«._àª¡àª¿àª¸à«.'.split(40            '_'41        ),42        monthsParseExact: true,43        weekdays: 'àª°àªµàª¿àªµàª¾àª°_àª¸à«àª®àªµàª¾àª°_àª®àªàªàª³àªµàª¾àª°_àª¬à«àª§à«àªµàª¾àª°_àªà«àª°à«àªµàª¾àª°_àª¶à«àªà«àª°àªµàª¾àª°_àª¶àª¨àª¿àªµàª¾àª°'.split(44            '_'45        ),46        weekdaysShort: 'àª°àªµàª¿_àª¸à«àª®_àª®àªàªàª³_àª¬à«àª§à«_àªà«àª°à«_àª¶à«àªà«àª°_àª¶àª¨àª¿'.split('_'),47        weekdaysMin: 'àª°_àª¸à«_àª®àª_àª¬à«_àªà«_àª¶à«_àª¶'.split('_'),48        longDateFormat: {49            LT: 'A h:mm àªµàª¾àªà«àª¯à«',50            LTS: 'A h:mm:ss àªµàª¾àªà«àª¯à«',51            L: 'DD/MM/YYYY',52            LL: 'D MMMM YYYY',53            LLL: 'D MMMM YYYY, A h:mm àªµàª¾àªà«àª¯à«',54            LLLL: 'dddd, D MMMM YYYY, A h:mm àªµàª¾àªà«àª¯à«',55        },56        calendar: {57            sameDay: '[àªàª] LT',58            nextDay: '[àªàª¾àª²à«] LT',59            nextWeek: 'dddd, LT',60            lastDay: '[àªàªàªàª¾àª²à«] LT',61            lastWeek: '[àªªàª¾àªàª²àª¾] dddd, LT',62            sameElse: 'L',63        },64        relativeTime: {65            future: '%s àª®àª¾',66            past: '%s àªªàª¹à«àª²àª¾',67            s: 'àªàª®à«àª àªªàª³à«',68            ss: '%d àª¸à«àªàªàª¡',69            m: 'àªàª àª®àª¿àª¨àª¿àª',70            mm: '%d àª®àª¿àª¨àª¿àª',71            h: 'àªàª àªàª²àª¾àª',72            hh: '%d àªàª²àª¾àª',73            d: 'àªàª àª¦àª¿àªµàª¸',74            dd: '%d àª¦àª¿àªµàª¸',75            M: 'àªàª àª®àª¹àª¿àª¨à«',76            MM: '%d àª®àª¹àª¿àª¨à«',77            y: 'àªàª àªµàª°à«àª·',78            yy: '%d àªµàª°à«àª·',79        },80        preparse: function (string) {81            return string.replace(/[à«§à«¨à«©à«ªà««à«¬à«à«®à«¯à«¦]/g, function (match) {82                return numberMap[match];83            });84        },85        postformat: function (string) {86            return string.replace(/\d/g, function (match) {87                return symbolMap[match];88            });89        },90        // Gujarati notation for meridiems are quite fuzzy in practice. While there exists91        // a rigid notion of a 'Pahar' it is not used as rigidly in modern Gujarati.92        meridiemParse: /àª°àª¾àª¤|àª¬àªªà«àª°|àª¸àªµàª¾àª°|àª¸àª¾àªàª/,93        meridiemHour: function (hour, meridiem) {94            if (hour === 12) {95                hour = 0;96            }97            if (meridiem === 'àª°àª¾àª¤') {98                return hour < 4 ? hour : hour + 12;99            } else if (meridiem === 'àª¸àªµàª¾àª°') {100                return hour;101            } else if (meridiem === 'àª¬àªªà«àª°') {102                return hour >= 10 ? hour : hour + 12;103            } else if (meridiem === 'àª¸àª¾àªàª') {104                return hour + 12;105            }106        },107        meridiem: function (hour, minute, isLower) {108            if (hour < 4) {109                return 'àª°àª¾àª¤';110            } else if (hour < 10) {111                return 'àª¸àªµàª¾àª°';112            } else if (hour < 17) {113                return 'àª¬àªªà«àª°';114            } else if (hour < 20) {115                return 'àª¸àª¾àªàª';116            } else {117                return 'àª°àª¾àª¤';118            }119        },120        week: {121            dow: 0, // Sunday is the first day of the week.122            doy: 6, // The week that contains Jan 6th is the first week of the year.123        },124    });125    return gu;...

Maze.py

Source:Maze.py

1from Cell import Cell2from random import randint3from Position import Position4class Maze:5	def __init__(self, height):6		self.height = height7		self.maze = []8	9	def initialize(self):10		initial = Cell.UPWALL | Cell.RIGHTWALL | Cell.DOWNWALL | Cell.LEFTWALL # 0 111111		self.maze = [[initial for _ in range(self.height)] for _ in range(self.height)]12		return self.DFS()13	def DFS(self):14		stack = []15		initial_position = Position(0, 0)16		stack.append(initial_position)17		unit_v = Position(0, 0)18		while len(stack) > 0:19			current_cell_position = stack.pop()20			self.maze[current_cell_position.x][current_cell_position.y] |= Cell.VISITED21			children = self.generate_children_maze_build(current_cell_position)22			if len(children) > 0:23				if len(children) > 1:24					stack.append(current_cell_position) # so that the other children can be explored when we eventually backtrack25				random_child_position = children[randint(0, len(children)-1)]26				unit_v = random_child_position.subtract(current_cell_position) # indicates the direction from current->child27				self.remove_common_wall(current_cell_position, random_child_position, unit_v)28				stack.append(random_child_position)29		return self.maze30	def generate_children_maze_build(self, current_cell_position):31		children = []32		x = current_cell_position.x33		y = current_cell_position.y34		if x > 0: #left border35			if self.maze[x - 1][y] & Cell.VISITED == 0:36				children.append(Position(x - 1, y))37		if y > 0: #up border38			if self.maze[x][y - 1] & Cell.VISITED == 0:39				children.append(Position(x, y - 1))40		if x <= self.height - 2: #right border41			if self.maze[x + 1][y] & Cell.VISITED == 0:42				children.append(Position(x + 1, y))43		if y <= self.height - 2: #down border44			if self.maze[x][y + 1] & Cell.VISITED == 0:45				children.append(Position(x, y + 1))46		return children47	def remove_common_wall(self, current_cell_position, random_child_position, unit_v):48		if unit_v.x == 1: # right49			self.maze[current_cell_position.x][current_cell_position.y] &= ~Cell.RIGHTWALL # 1111 & 1101 = 110150			self.maze[random_child_position.x][random_child_position.y] &= ~Cell.LEFTWALL51		elif unit_v.x == -1: #left52			self.maze[current_cell_position.x][current_cell_position.y] &= ~Cell.LEFTWALL53			self.maze[random_child_position.x][random_child_position.y] &= ~Cell.RIGHTWALL54		elif unit_v.y == 1: #down55			self.maze[current_cell_position.x][current_cell_position.y] &= ~Cell.DOWNWALL56			self.maze[random_child_position.x][random_child_position.y] &= ~Cell.UPWALL57		elif unit_v.y == -1: #up58			self.maze[current_cell_position.x][current_cell_position.y] &= ~Cell.UPWALL59			self.maze[random_child_position.x][random_child_position.y] &= ~Cell.DOWNWALL60	def create_loop(self, current_cell_position, unit_v):61		counter += 162		if counter == 3:63			if unit_v.x == 1: # right64				self.maze[current_cell_position.x][current_cell_position.y] &= ~Cell.RIGHTWALL # 1111 & 1101 = 110165			elif unit_v.x == -1: #left66				self.maze[current_cell_position.x][current_cell_position.y] &= ~Cell.LEFTWALL67			elif unit_v.y == 1: #down68				self.maze[current_cell_position.x][current_cell_position.y] &= ~Cell.DOWNWALL69			elif unit_v.y == -1: #up70				self.maze[current_cell_position.x][current_cell_position.y] &= ~Cell.UPWALL71	def generate_children_agent_traversal(self, current_cell_position, visited):72		children = []73		x = current_cell_position.x74		y = current_cell_position.y75		if x > 0: #left border76			if Position(x-1,y) not in visited and self.maze[x-1][y] & Cell.RIGHTWALL == 0:77				children.append(Position(x-1, y))78		if y > 0: #up border79			if Position(x,y-1) not in visited and self.maze[x][y-1] & Cell.DOWNWALL == 0:80				children.append(Position(x, y-1))81		if x <= self.height-2: #right border82			if Position(x+1,y) not in visited and self.maze[x+1][y] & Cell.LEFTWALL == 0:83				children.append(Position(x+1, y))84		if y <= self.height-2: #down border85			if Position(x,y+1) not in visited and self.maze[x][y+1] & Cell.UPWALL == 0:86				children.append(Position(x, y+1))87		return children88	def get_value(self, i, j):...

server.js

Source:server.js

1const express = require('express');2const socketIo = require('socket.io');3const bodyParser = require('body-parser');4const cors = require('cors');5const mongoose = require('mongoose');6require('./Config/passport');7const authenticateRouter = require('./Routes/authenticateRoutes');8const userRouter = require('./Routes/userRoutes');9const { loggerMiddleware } = require('./Middleware/loggerMiddleware');10if (process.env.NODE_ENV !== 'PRODUCTION') {11  require('dotenv').config();12  console.log(process.env);13}14console.log("Env" , process.env);15mongoose.connect(process.env.MONGOOSE_URL, {16  useNewUrlParser: true,17  useUnifiedTopology: true,18});19const db = mongoose.connection;20db.once('open', () => {21  console.log('Database Connected');22});23const app = express();24app.use(loggerMiddleware);25app.use(cors());26app.use(bodyParser.json());27const PORT = 4000;28var path = require('path');29const logError = require('./Middleware/Error/logError');30const clientErrorHandler = require('./Middleware/Error/clientErrorHandler');31const refDataRouter = require('./Routes/refDataRoutes');32const questionAnswerRouter = require('./Routes/questionAnswerRoutes');33const tipRouter = require('./Routes/TipRoutes');34app.use('/api/authenticate', authenticateRouter);35app.use('/api/profile', userRouter);36app.use('/api/refData', refDataRouter);37app.use('/api/questionAnswer', questionAnswerRouter);38app.use('/api/tip', tipRouter);39app.use('/public', express.static(path.join(__dirname, 'public')));40app.use(logError);41app.use(clientErrorHandler);42const server = app.listen(4000, () => {43  console.log(`Server is running on 4000`);44});45/*46const io = socketIo(server, {47  cors: {48    origins: ['https://localhost:4200'],49    methods: ['GET', 'POST'],50  },51});52app.set('io', io);53io.on('connection', (socket) => {54  console.log('a user connected');55});...

Main.py

Source:Main.py

1from Agent import Agent2from Maze import Maze3from Cell import Cell4from Position import Position5import pygame6import sys7# maze config8M_HEIGHT = 209maze = Maze(M_HEIGHT)10maze.initialize()11agent = Agent(0, 0, maze)12path = agent.BFS(Position(19, 19))13print(path)14# setup window15FPS = 3016S_HEIGHT = 60017CELL_SIZE = S_HEIGHT // M_HEIGHT18# colors19WHITE = (255, 255, 255)20BLACK  = (0, 0, 0)21RED = (255, 0, 0)22GREEN = (0, 255, 0)23BLUE = (0, 0, 225)24# pygame init25pygame.init()26pygame.mixer.init()27screen = pygame.display.set_mode((S_HEIGHT, S_HEIGHT))28screen.fill(WHITE)29pygame.display.set_caption("Python Maze")30clock = pygame.time.Clock()31# render the maze32def render_maze():33	x = 034	y = 035	for i in range(M_HEIGHT):36		for j in range(M_HEIGHT):37			cell = maze.get_value(i, j)38			if cell & Cell.UPWALL == 1:39				pygame.draw.line(screen, BLACK, [x, y], [x + CELL_SIZE, y])40			if cell & Cell.RIGHTWALL == 2:41				pygame.draw.line(screen, BLACK, [x + CELL_SIZE, y], [x + CELL_SIZE, y + CELL_SIZE])42			if cell & Cell.DOWNWALL ==  4:43				pygame.draw.line(screen, BLACK, [x, y + CELL_SIZE], [x + CELL_SIZE, y + CELL_SIZE])44			if cell & Cell.LEFTWALL == 8:45				pygame.draw.line(screen, BLACK, [x, y], [x, y + CELL_SIZE])46			y += CELL_SIZE47		y = 048		x += CELL_SIZE49	50	pygame.display.update()51def traverse_maze():52	pass53render_maze()54# game loop55while True:56	clock.tick(FPS)57	for event in pygame.event.get():58		if event.type == pygame.QUIT:...

Agent.py

Source:Agent.py

1from queue import Queue2from Position import Position3class Agent:4	def __init__(self, x, y, maze):5		self.position = Position(x, y)6		self.maze = maze7	def set_position(self, destination): # for movement8		self.position = destination9	def goal_test(self, goal_position):10		return self.position == goal_position11	def BFS(self, goal_position):12		queue = Queue(0)13		visited = []14		path = []15		backtracking_table = {}16		queue.put(self.position)17		visited.append(self.position)18		while not queue.empty():19			current_cell = queue.get()20			if current_cell == goal_position:21				break22			else:23				children = self.maze.generate_children_agent_traversal(current_cell, visited)24				for child in children:25					visited.append(child)26					queue.put(child)27					backtracking_table[child] = current_cell28					29		return self.back_track(current_cell, backtracking_table)30	def back_track(self, current_cell, backtracking_table):31		path = []32		path.append(current_cell)33		while current_cell != self.position:34			path.append(backtracking_table[current_cell])35			current_cell = backtracking_table[current_cell]36		path.reverse()...

fi.js

Source:fi.js

1/*! Select2 4.0.13 | https://github.com/select2/select2/blob/master/LICENSE.md */...

Position.py

Source:Position.py

1class Position:2	def __init__(self, x, y):3		self.x = x4		self.y = y5	def __repr__(self) -> str:6		return '(' + str(self.x) + ', ' + str(self.y) + '):'7	def __hash__(self) -> int:8		return hash((self.x, self.y))9	def __eq__(self, __o: object) -> bool:10		return __o and self.x == __o.x and self.y == __o.y11	def subtract(self, parent):...

Using AI Code Generation

1var stf = require('devicefarmer-stf');2stf.getDevices(function(err, devices) {3  if (err) {4    console.log('Error: ', err);5  } else {6    console.log('Devices: ', devices);7  }8});9{10  "dependencies": {11  }12}

Using AI Code Generation

1var devicefarmer = require('devicefarmer-stf');2devicefarmer.getDevices(function(devices) {3    console.log(devices);4});5var devicefarmer = require('devicefarmer-stf');6devicefarmer.getDevices(function(devices) {7    console.log(devices);8});9var devicefarmer = require('devicefarmer-stf');10devicefarmer.getDevices(function(devices) {11    console.log(devices);12});13var devicefarmer = require('devicefarmer-stf');14devicefarmer.getDevices(function(devices) {15    console.log(devices);16});17var devicefarmer = require('devicefarmer-stf');18devicefarmer.getDevices(function(devices) {19    console.log(devices);20});21var devicefarmer = require('devicefarmer-stf');22devicefarmer.getDevices(function(devices) {23    console.log(devices);24});

Using AI Code Generation

1var deviceFarmer = require('devicefarmer-stf-client');2stf.getDevices().then(function(devices) {3  console.log('Devices: ' + devices);4});5var deviceFarmer = require('devicefarmer-stf-client');6stf.getDevices().then(function(devices) {7  console.log('Devices: ' + devices);8});9var deviceFarmer = require('devicefarmer-stf-client');10stf.getDevices().then(function(devices) {11  console.log('Devices: ' + devices);12});13var deviceFarmer = require('devicefarmer-stf-client');14stf.getDevices().then(function(devices) {15  console.log('Devices: ' + devices);16});17var deviceFarmer = require('devicefarmer-stf-client');18stf.getDevices().then(function(devices) {19  console.log('Devices: ' + devices);20});21var deviceFarmer = require('devicefarmer-stf-client');22stf.getDevices().then(function(devices) {23  console.log('Devices: ' + devices);24});25var deviceFarmer = require('devicefarmer-stf-client');26stf.getDevices().then(function(devices) {27  console.log('Devices: ' + devices);

Using AI Code Generation

1var stf = require('devicefarmer-stf-client');2stf.getDevices(function (err, devices) {3    if (err) {4        console.log("Error: " + err);5    } else {6        console.log("Devices: " + devices);7    }8});9"dependencies": {10}11var stf = require('devicefarmer-stf-client');12stf.connect(url, [options]);13var stf = require('devicefarmer-stf-client');14stf.getDevices(callback);15var stf = require('devicefarmer-stf-client');16stf.getDevices(function (

Using AI Code Generation

1var stf = require('devicefarmer-stf');2stf.getDevices(function (err, devices) {3    console.log(devices);4});5[ { serial: '0123456789ABCDEF',6     { id: 0,7    phone: {},8    connectivity: {},9    battery: {},10    network: {},11    memory: {},12    storage: {},13    channel: null } ]

Using AI Code Generation

1var devicefarmer = require('devicefarmer-stf');2var device = devicefarmer.device;3device.getDevices(function(err, data) {4  console.log(data);5});6var devicefarmer = require('devicefarmer-stf');7var device = devicefarmer.device;8device.getDevices(function(err, data) {9  console.log(data);10});11var devicefarmer = require('devicefarmer-stf');12var device = devicefarmer.device;13device.getDevices(function(err, data) {14  console.log(data);15});16var devicefarmer = require('devicefarmer-stf');17var device = devicefarmer.device;18device.getDevices(function(err, data) {19  console.log(data);20});21var devicefarmer = require('devicefarmer-stf');22var device = devicefarmer.device;23device.getDevices(function(err, data) {24  console.log(data);25});26var devicefarmer = require('devicefarmer-stf');27var device = devicefarmer.device;28device.getDevices(function(err, data) {29  console.log(data);30});31var devicefarmer = require('devicefarmer-stf');32var device = devicefarmer.device;33device.getDevices(function(err, data) {34  console.log(data);35});36var devicefarmer = require('devicefarmer-stf');37var device = devicefarmer.device;38device.getDevices(function(err, data) {39  console.log(data);40});41var devicefarmer = require('devicefarmer-stf');42var device = devicefarmer.device;43device.getDevices(function(err, data) {44  console.log(data);45});

Using AI Code Generation

1var client = require('devicefarmer-stf-client');2var stf = new client();3stf.connect();4stf.getDevices(function(devices){5    console.log(devices);6});7var client = require('devicefarmer-stf-client');8var stf = new client();9stf.connect();10stf.getDevices(function(devices){11    console.log(devices);12});13var client = require('devicefarmer-stf-client');14var stf = new client();15stf.connect();16stf.getDevices(function(devices){17    console.log(devices);18});19var client = require('devicefarmer-stf-client');20var stf = new client();21stf.connect();22stf.getDevices(function(devices){23    console.log(devices);24});25var client = require('devicefarmer-stf-client');26var stf = new client();27stf.connect();28stf.getDevices(function(devices){29    console.log(devices);30});31var client = require('devicefarmer-stf-client');32var stf = new client();33stf.connect();34stf.getDevices(function(devices){35    console.log(devices);36});37var client = require('devicefarmer-stf-client');38var stf = new client();39stf.connect();40stf.getDevices(function(devices){41    console.log(devices);42});43var client = require('devicefarmer-stf-client');44var stf = new client();45stf.connect();46stf.getDevices(function(devices){47    console.log(devices);48});49var client = require('devicefarmer-stf-client');50var stf = new client();51stf.connect();52stf.getDevices(function(devices){

Using AI Code Generation

1var client = require('devicefarmer-stf-client');2client.getDeviceList(function(err, data){3	console.log(data);4});5{6  "dependencies": {7  }8}9{10  "dependencies": {11    "devicefarmer-stf-client": {12      "requires": {13      }14    }15  }16}17java.lang.RuntimeException: Unable to start activity ComponentInfo{com.example.admin.myapp/com.example.admin.myapp.MainActivity}: java.lang.NullPointerException: Attempt to invoke virtual method 'void android.widget.TextView.setText(java.lang.CharSequence)' on a null object reference18    at android.app.ActivityThread.performLaunchActivity(ActivityThread.java:2416)19    at android.app.ActivityThread.handleLaunchActivity(ActivityThread.java:2476)20    at android.app.ActivityThread.-wrap11(ActivityThread.java)21    at android.app.ActivityThread$H.handleMessage(ActivityThread

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