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How to use a method in fast-check-monorepo

Best JavaScript code snippet using fast-check-monorepo

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

1const { fc } = require('fast-check');2const { fc } = require('fast-check');3const { fc } = require('fast-check');4const { fc } = require('fast-check');5const { fc } = require('fast-check');6const { fc } = require('fast-check');7const { fc } = require('fast-check');8const { fc } = require('fast-check');9const { fc } = require('fast-check');10const { fc } = require('fast-check');11const { fc } = require('fast-check');12const { fc } = require('fast-check');13const { fc } = require('fast-check');14const { fc } = require('fast-check');15const { fc } = require('fast-check');16const { fc } = require('fast-check');17const { fc } = require('fast-check');

Using AI Code Generation

1import { someMethod } from 'fast-check-monorepo';2console.log(someMethod());3import { someMethod } from 'fast-check-monorepo';4console.log(someMethod());5import { someMethod } from 'fast-check-monorepo';6console.log(someMethod());7import { someMethod } from 'fast-check-monorepo';8console.log(someMethod());9import { someMethod } from 'fast-check-monorepo';10console.log(someMethod());11import { someMethod } from 'fast-check-monorepo';12console.log(someMethod());13import { someMethod } from 'fast-check-monorepo';14console.log(someMethod());15import { someMethod } from 'fast-check-monorepo';16console.log(someMethod());17import { someMethod } from 'fast-check-monorepo';18console.log(someMethod());19import { someMethod } from 'fast-check-monorepo';20console.log(someMethod());21import { someMethod } from 'fast-check-monorepo';22console.log(someMethod());23import { someMethod } from 'fast-check-monorepo';24console.log(someMethod());25import { someMethod } from 'fast-check-monorepo';26console.log(someMethod());

Using AI Code Generation

1const {fc} = require('fast-check');2fc.assert(3  fc.property(fc.integer(), fc.integer(), (a, b) => a + b >= a)4);5const {fc} = require('fast-check');6fc.assert(7  fc.property(fc.integer(), fc.integer(), (a, b) => a + b >= a)8);9const {fc} = require('fast-check');10fc.assert(11  fc.property(fc.integer(), fc.integer(), (a, b) => a + b >= a)12);13const {fc} = require('fast-check');14fc.assert(15  fc.property(fc.integer(), fc.integer(), (a, b) => a + b >= a)16);17const {fc} = require('fast-check');18fc.assert(19  fc.property(fc.integer(), fc.integer(), (a, b) => a + b >= a)20);21const {fc} = require('fast-check');22fc.assert(23  fc.property(fc.integer(), fc.integer(), (a, b) => a + b >= a)24);25const {fc} = require('fast-check');26fc.assert(27  fc.property(fc.integer(), fc.integer(), (a, b) => a + b >= a)28);29const {fc} = require('fast-check');30fc.assert(31  fc.property(fc.integer(), fc.integer(), (a, b) => a + b >= a)32);33const {fc} = require('fast-check');34fc.assert(35  fc.property(fc.integer(), fc.integer(), (a, b) => a + b >= a)36);37const {fc

Using AI Code Generation

1const { fc } = require('fast-check-monorepo');2const { fc } = require('fast-check-monorepo');3const { fc } = require('fast-check-monorepo');4const { fc } = require('fast-check-monorepo');5const { fc } = require('fast-check-monorepo');6const { fc } = require('fast-check-monorepo');7const { fc } = require('fast-check-monorepo');8const { fc } = require('fast-check-monorepo');9const { fc } = require('fast-check-monorepo');10const { fc } = require('fast-check-monorepo');11const { fc } = require('fast-check-monorepo');12const { fc } = require('fast-check-monorepo');13const { fc } = require('fast-check-monorepo');14const { fc } = require

Using AI Code Generation

1const fc = require('fast-check');2fc.assert(3  fc.property(fc.integer(), fc.integer(), (a, b) => a + b === b + a)4);5console.log('Done');6  throw err;7    at Function.Module._resolveFilename (internal/modules/cjs/loader.js:980:15)8    at Function.Module._load (internal/modules/cjs/loader.js:862:27)9    at Module.require (internal/modules/cjs/loader.js:1044:19)10    at require (internal/modules/cjs/helpers.js:77:18)11    at Object.<anonymous> (/home/username/fast-check-monorepo/test3.js:1:16)12    at Module._compile (internal/modules/cjs/loader.js:1137:30)13    at Object.Module._extensions..js (internal/modules/cjs/loader.js:1157:10)14    at Module.load (internal/modules/cjs/loader.js:985:32)15    at Function.Module._load (internal/modules/cjs/loader.js:878:14)16    at Function.executeUserEntryPoint [as runMain] (internal/modules/run_main.js:71:12) {17}18    throw new ERR_INVALID_MODULE_SPECIFIER(

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.