446 skills found · Page 13 of 15
anandpatel504 / Error Handling BotThis is a chat-bot in NodeJS if you enter your python Error in the chat-bot then it will show you details about that particular error and how can you solve that error.
analyticsinmotion / Werx🐍📦 Easy-to-use Python package for lightning-fast Word Error Rate (WER) analysis
efmsoft / AllstatLibrary for fast converting numeric error/status code to the constant name, retrieving detailed description text. Getting a numeric code by constant name. Supports C, C++, Golang, Python. Can be built for Windows, Linux, Mac OS
diorwave / Solana Trading BotA real-time Python bot for Solana that monitors wallets and copies transactions using WebSockets. Includes a FastAPI REST API for management, async processing, and robust error handling for automated crypto trading.
Sadrita404 / SQL Connection With PythonMySQL Database Connection & Data Fetching Script This Python script connects to a MySQL database using the mysql-connector-python library and retrieves all rows from a specified table. It includes proper connection handling, error catching, and row-by-row printing of the fetched data.
Lexogen-Tools / IdemuxcppiDemux is an all-in-one command line tool that can be used for both demultiplexing and error correction of FASTQ files. It enables demultiplexing of i1 inline barcodes of Lexogen’s QuantSeq-Pool as well as demultiplexing of i7 and/or i5 indices of any other RNA-Seq library prep. iDemux can also be used for superior error correction of RNA-Seq libraries generated with Lexogen’s UDI 12 nt Unique Dual Indices. This C++ version is faster than the Python version but requires a certain proficiency in command line tool handling.
Krishnan005K / Bank ATM Interface With PythonTkinterThis is a Banking interface GUI built using Python's tkinter library. It allows users to deposit, withdraw, and view their transaction history. The application uses a basic authentication system and includes error handling for invalid inputs.
ryanschaub / Predicting Loan Interest RatesIn this project we will be using the publicly available and Kaggle-popular LendingClub data set to train Linear Regression and Extreme Gradient Descent Boosted Decision Tree models to predict interest rates assigned to loans. First, we will clean and prepare the data. This includes feature removal, feature engineering, and string processing.There are several entries where values have been deleted to simulate dirty data. Then, we will build machine learning models in Python to predict the interest rates assigned to loans. We will evaluate our models' performances using the root mean squared error (RMSE) metric and compare our models' results.
mshs01156 / Support To Repro Pack🛠️ Claude Code / OpenClaw Skill — Turn support tickets, logs, screenshots into sanitized engineering issue packs. 17 PII redaction patterns, log parsing, stack trace extraction (Python/Java/JS/Go), error code classification, timeline. 客服工单脱敏 | 隐私数据脱敏 | 日志解析 | 堆栈提取 | 错误码分类 | 中英双语Skill | 支持转研发问题包生成器
mafiamasterhere / Real Time Voice CloningQuick start Requirements You will need the following whether you plan to use the toolbox only or to retrain the models. Python 3.7. Python 3.6 might work too, but I wouldn't go lower because I make extensive use of pathlib. Run pip install -r requirements.txt to install the necessary packages. Additionally you will need PyTorch (>=1.0.1). A GPU is mandatory, but you don't necessarily need a high tier GPU if you only want to use the toolbox. Pretrained models Download the latest here. Preliminary Before you download any dataset, you can begin by testing your configuration with: python demo_cli.py If all tests pass, you're good to go. Datasets For playing with the toolbox alone, I only recommend downloading LibriSpeech/train-clean-100. Extract the contents as <datasets_root>/LibriSpeech/train-clean-100 where <datasets_root> is a directory of your choosing. Other datasets are supported in the toolbox, see here. You're free not to download any dataset, but then you will need your own data as audio files or you will have to record it with the toolbox. Toolbox You can then try the toolbox: python demo_toolbox.py -d <datasets_root> or python demo_toolbox.py depending on whether you downloaded any datasets. If you are running an X-server or if you have the error Aborted (core dumped), see this issue. Wiki How it all works (WIP - stub, you might be better off reading my thesis until it's done) Training models yourself Training with other data/languages (WIP - see here for now) TODO and planned features
pjswall / Vehicle CountingThe vehicle counting procedure offers accurate data on traffic flow, vehicle collisions, and traffic peak times on highways. Using digital image processing technologies on traffic camera video outputs is an acceptable strategy for achieving these goals. The Kalman filter is used to create a vehicle counter-classifier based on a mixture of video-image processing methods such as object detection, edge detection, frame distinction, and the Kalman filter. The proposed technique has been implemented using the Python programming language. The method's accuracy in vehicle counts and classification was assessed, yielding a classification accuracy of around 95% and a vehicle detection target error of about 4%. Vehicle Counting, Vehicle Detection, Traffic Analysis, Object Detection, Video-Image Processing are some of the terms used in this paper.
surayudu / VAOverview Virtual Assistant is an application program that understands natural language voice commands or text commands and completes the tasks for users. Virtual Assistants features a human interface system, they can understand the language and meaning of what the user is saying and have built in replies. Learn from different instances so that they can have a long term human interaction. It uses artificial intelligence to learn things from different situations. Using AI they can recognize, predict and classify based on analysis. Purpose Virtual Assistant provides various services. It is ready to help wherever you are and can be deployed in your devices. Wider scope and perform users to get answers to their questions and perform tasks using voice or text commands, all in an interactive form. Precise voice and text recognition with the ability to have conversation with the users. In case of Google assistant, they recognize the voice of the user and perform the specific task. Use case Customer support: Rather of customers waiting for a long to solve an issue, the can get instant support from chatbot, Banking Chatbots: Personalized banking with an aim to improve customer satisfaction and engagement. Project support: Can send notifications for various tasks. Reminder to follow up with an action. HR assistants: Can help employees register time off, retrieve company policies, and find answers to repetitive employment questions. Teaching: Can helps teachers to create more detailed learning plans and materials. Being full-blown health assistants: Virtual assistants can do so much more than giving tips, they can often help patients apply simple treatments, remind them to take medicine, and monitor their health. Automating FAQs and administrative tasks: If there's a scenario where the customers have dozens of repetitive questions, virtual assistant is there 24/7 to answer questions from people who may be anxious to get answers. Technical support: The customer has a product technical error, in this case, asks the customer to type the error they encounter, then it generates a dynamic link to search the customer input words in the technical knowledge repositories and guide the customer through his search. Efficient Processes: Make processes more streamlined and transparent by synchronizing between functions, roles, and departments. Booking: A virtual assistant can respond to a consumer through messages, web, SMS or email and update them on the status of their existing reservation, make changes to the reservation, process related payments or refunds, send proactive notifications and provide detailed information on their itinerary. Features a. NLP Text Search : Virtual assistant concentrates on NLP and NLU. Understands the slang that is used in everyday conversation and analyses the sentiments to enhance a better set of communication. b. FAQ voice assistant : FAQ voice assistant is a voice assistant that provides a list of questions and answers relating to a particular subject. c. Conversations voice assistant : Conversations voice assistant is a voice assistant that provides conversational services based on a subject. d. Speech conversations (STT,TTS) : It provides conversational services such as speech to text and text to speech. e. Integration with Enterprise Systems : It provides administrative service to clients. Such as scheduling appointments, making phone calls, making travel arrangements, managing email accounts etc. f. Rich Conversations : Rich conversation is a conversation that can use different features such as images, videos, buttons, forms etc. a) Images:Imagescanbesentorreceivedduringconversations. b) Buttons:Buttonscanprovidedifferentfunctionalitiesasperthefeatureofthebutton. c) Videos:Videoscanbesentorreceivedduringconversations d) Forms: Forms help to give visible shape or configuration of something. Technical Requirement g. HTML5 h. JavaScript i. Python (Flask API, NLP Packages) j. MySQL k. Docker l. Git
BanHammer66 / HeyGHunt es una herramienta de OSINT para extraer información de cualquier cuenta de Google mediante un correo electrónico. Actualmente puede extraer: Nombre del dueño La última vez que se editó el perfil ID de Google Si la cuenta es un bot de Hangouts Servicios de Google activados (YouTube, Fotos, Mapas, News360, Hangouts, etc.) Posible canal de YouTube Posibles otros nombres de usuario Fotos públicas (P) Modelos de teléfonos (P) Firmwares de teléfonos (P) Software instalado (P) Reseñas de Google Maps (M) Posible ubicación física (M) Eventos de Google Calendar (C) Las funciones marcadas con una (P) requieren que la cuenta de destino tenga la configuración predeterminada de Allow the people you share content with to download your photos and videosen el archivo de álbumes de Google, o si el destino alguna vez usó Picasa vinculado a su cuenta de Google. Más info aquí . Aquellos marcados con una (M) requieren que las revisiones de Google Maps del objetivo sean públicas (lo son de forma predeterminada). Los marcados con una (C) requieren que el usuario tenga Google Calendar configurado como público (por defecto está cerrado) Capturas de pantalla 📰 Últimas noticias 10/02/2020 : Desde hace unos días, Google devuelve un 404 cuando intentamos acceder a los álbumes públicos de Google Photos de alguien, solo podemos acceder a él si tenemos un enlace de uno de sus álbumes. O esto es un error y se solucionará, o es una protección que necesitamos para encontrar la forma de evitarlo. 10/03/2020 : superado con éxito.🕺(cometer 01dc016) Requiere que el álbum "Fotos de perfil" sea público (es por defecto) 20/10/2020 : Google WebArchive ahora devuelve un 404 incluso cuando proviene del álbum "Fotos de perfil", por lo que el raspado de fotos está deshabilitado temporal (o permanentemente). (cometer e762543) Instalación Estibador La imagen de Docker se crea automáticamente y se inserta en Dockerhub después de cada inserción en este repositorio. Puede extraer la imagen de Docker con: docker pull mxrch/ghunt Luego, se puede invocar cualquiera de los scripts a través de: docker run -v ghunt-resources:/usr/src/app/resources -ti mxrch/ghunt check_and_gen.py docker run -v ghunt-resources:/usr/src/app/resources -ti mxrch/ghunt hunt.py <email_address> Instalación manual Asegúrese de tener instalado Python 3.7+. (Lo desarrollé con Python 3.8.1) Se requieren algunos módulos de Python que se incluyen requirements.txty se instalarán a continuación. 1. Chromedriver y Google Chrome Este proyecto utiliza Selenium y descarga automáticamente el controlador correcto para su versión de Chrome. ⚠️ Así que asegúrese de tener instalado Google Chrome. 2. Requisitos En la carpeta GHunt, ejecute: python -m pip install -r requirements.txt Adapte el comando a su sistema operativo si es necesario. Uso Para la primera ejecución y, a veces, después, deberá verificar la validez de sus cookies. Para hacer esto, corre check_and_gen.py. Si no tiene cookies almacenadas (por ejemplo: primer lanzamiento), se le pedirán las 4 cookies requeridas. Si son válidos, generará el token de autenticación y los tokens de Google Docs y Hangouts. Luego, puede ejecutar la herramienta de esta manera: python hunt.py myemail@gmail.com ⚠️ Le sugiero que cree una cuenta vacía solo para esto o use una cuenta en la que nunca inicie sesión porque, según su navegador / ubicación, volver a iniciar sesión en la cuenta de Google utilizada para las cookies puede desautorizarlas. ¿Dónde encuentro estas 4 cookies? Inicie sesión en accounts.google.com Después de eso, abra la ventana Herramientas de desarrollo y navegue hasta la pestaña Almacenamiento (Shift + F9 en Firefox) (Se llama "Aplicación" en Chrome). Si no sabe cómo abrirla, simplemente haga clic derecho en cualquier lugar y haga clic en "Inspeccionar Elemento". Luego encontrará todas las cookies que necesita, incluidas las 4. galletas 🛡️ Protegiéndose Con respecto a la recopilación de metadatos de su cuenta de Google Fotos: Dado que Google muestra "X requiere acceso" en el Panel de control de su cuenta de Google , puede imaginar que tuvo que autorizar explícitamente a otra cuenta para que pudiera acceder a sus imágenes; Pero este no es el caso. Cualquier cuenta puede acceder a su AlbumArchive (por defecto): panel de cuenta A continuación, le indicamos cómo verificar y corregir el hecho de que es vulnerable (que probablemente lo sea): vaya a https://get.google.com/albumarchive/ mientras está conectado con su cuenta de Google. Se le redirigirá automáticamente a la URL correcta de albumarchive ( https://get.google.com/albumarchive/YOUR-GOOGLE-ID-HERE). Después de eso, haga clic en los tres puntos en la esquina superior izquierda y haga clic en configuración ajuste de tres puntos Luego, desmarque la única opción allí: ajuste En otra nota, la cuenta de destino también será vulnerable si alguna vez ha utilizado Picasa vinculado a su cuenta de Google de cualquier forma o forma. Para obtener más detalles sobre esto, lea el comentario de PinkDev1 sobre el número 10 . Por ahora, la única solución (conocida) para esto es eliminar los álbumes de Picasa de su AlbumArchive. Gracias
Lhagawajaw / 11 36 00 PM Build Ready To Start 11 36 02 PM Build Image Version 72a309a113b53ef075815b129953617811:36:00 PM: Build ready to start 11:36:02 PM: build-image version: 72a309a113b53ef075815b129953617827965e48 (focal) 11:36:02 PM: build-image tag: v4.8.2 11:36:02 PM: buildbot version: 72ebfe61ef7a5152002962d9129cc52f5b1bb560 11:36:02 PM: Fetching cached dependencies 11:36:02 PM: Failed to fetch cache, continuing with build 11:36:02 PM: Starting to prepare the repo for build 11:36:02 PM: No cached dependencies found. Cloning fresh repo 11:36:02 PM: git clone https://github.com/netlify-templates/gatsby-ecommerce-theme 11:36:03 PM: Preparing Git Reference refs/heads/main 11:36:04 PM: Parsing package.json dependencies 11:36:05 PM: Starting build script 11:36:05 PM: Installing dependencies 11:36:05 PM: Python version set to 2.7 11:36:06 PM: v16.15.1 is already installed. 11:36:06 PM: Now using node v16.15.1 (npm v8.11.0) 11:36:06 PM: Started restoring cached build plugins 11:36:06 PM: Finished restoring cached build plugins 11:36:06 PM: Attempting ruby version 2.7.2, read from environment 11:36:08 PM: Using ruby version 2.7.2 11:36:08 PM: Using PHP version 8.0 11:36:08 PM: No npm workspaces detected 11:36:08 PM: Started restoring cached node modules 11:36:08 PM: Finished restoring cached node modules 11:36:09 PM: Installing NPM modules using NPM version 8.11.0 11:36:09 PM: npm WARN config tmp This setting is no longer used. npm stores temporary files in a special 11:36:09 PM: npm WARN config location in the cache, and they are managed by 11:36:09 PM: npm WARN config [`cacache`](http://npm.im/cacache). 11:36:09 PM: npm WARN config tmp This setting is no longer used. npm stores temporary files in a special 11:36:09 PM: npm WARN config location in the cache, and they are managed by 11:36:09 PM: npm WARN config [`cacache`](http://npm.im/cacache). 11:36:24 PM: npm WARN deprecated source-map-url@0.4.1: See https://github.com/lydell/source-map-url#deprecated 11:36:25 PM: npm WARN deprecated source-map-resolve@0.5.3: See https://github.com/lydell/source-map-resolve#deprecated 11:36:26 PM: npm WARN deprecated uuid@3.4.0: Please upgrade to version 7 or higher. Older versions may use Math.random() in certain circumstances, which is known to be problematic. See https://v8.dev/blog/math-random for details. 11:36:28 PM: npm WARN deprecated querystring@0.2.1: The querystring API is considered Legacy. new code should use the URLSearchParams API instead. 11:36:33 PM: npm WARN deprecated subscriptions-transport-ws@0.9.19: The `subscriptions-transport-ws` package is no longer maintained. We recommend you use `graphql-ws` instead. For help migrating Apollo software to `graphql-ws`, see https://www.apollographql.com/docs/apollo-server/data/subscriptions/#switching-from-subscriptions-transport-ws For general help using `graphql-ws`, see https://github.com/enisdenjo/graphql-ws/blob/master/README.md 11:36:36 PM: npm WARN deprecated async-cache@1.1.0: No longer maintained. Use [lru-cache](http://npm.im/lru-cache) version 7.6 or higher, and provide an asynchronous `fetchMethod` option. 11:36:37 PM: npm WARN deprecated babel-eslint@10.1.0: babel-eslint is now @babel/eslint-parser. This package will no longer receive updates. 11:36:41 PM: npm WARN deprecated devcert@1.2.0: critical regex denial of service bug fixed in 1.2.1 patch 11:36:42 PM: npm WARN deprecated debug@4.1.1: Debug versions >=3.2.0 <3.2.7 || >=4 <4.3.1 have a low-severity ReDos regression when used in a Node.js environment. It is recommended you upgrade to 3.2.7 or 4.3.1. (https://github.com/visionmedia/debug/issues/797) 11:36:45 PM: npm WARN deprecated urix@0.1.0: Please see https://github.com/lydell/urix#deprecated 11:36:45 PM: npm WARN deprecated resolve-url@0.2.1: https://github.com/lydell/resolve-url#deprecated 11:36:53 PM: npm WARN deprecated puppeteer@7.1.0: Version no longer supported. Upgrade to @latest 11:37:30 PM: added 2044 packages, and audited 2045 packages in 1m 11:37:30 PM: 208 packages are looking for funding 11:37:30 PM: run `npm fund` for details 11:37:30 PM: 41 vulnerabilities (13 moderate, 25 high, 3 critical) 11:37:30 PM: To address issues that do not require attention, run: 11:37:30 PM: npm audit fix 11:37:30 PM: To address all issues possible (including breaking changes), run: 11:37:30 PM: npm audit fix --force 11:37:30 PM: Some issues need review, and may require choosing 11:37:30 PM: a different dependency. 11:37:30 PM: Run `npm audit` for details. 11:37:30 PM: NPM modules installed 11:37:31 PM: npm WARN config tmp This setting is no longer used. npm stores temporary files in a special 11:37:31 PM: npm WARN config location in the cache, and they are managed by 11:37:31 PM: npm WARN config [`cacache`](http://npm.im/cacache). 11:37:31 PM: Started restoring cached go cache 11:37:31 PM: Finished restoring cached go cache 11:37:31 PM: Installing Go version 1.17 (requested 1.17) 11:37:36 PM: unset GOOS; 11:37:36 PM: unset GOARCH; 11:37:36 PM: export GOROOT='/opt/buildhome/.gimme/versions/go1.17.linux.amd64'; 11:37:36 PM: export PATH="/opt/buildhome/.gimme/versions/go1.17.linux.amd64/bin:${PATH}"; 11:37:36 PM: go version >&2; 11:37:36 PM: export GIMME_ENV="/opt/buildhome/.gimme/env/go1.17.linux.amd64.env" 11:37:37 PM: go version go1.17 linux/amd64 11:37:37 PM: Installing missing commands 11:37:37 PM: Verify run directory 11:37:38 PM: 11:37:38 PM: ──────────────────────────────────────────────────────────────── 11:37:38 PM: Netlify Build 11:37:38 PM: ──────────────────────────────────────────────────────────────── 11:37:38 PM: 11:37:38 PM: ❯ Version 11:37:38 PM: @netlify/build 27.3.0 11:37:38 PM: 11:37:38 PM: ❯ Flags 11:37:38 PM: baseRelDir: true 11:37:38 PM: buildId: 62b9ce60232d3454599e9b1c 11:37:38 PM: deployId: 62b9ce60232d3454599e9b1e 11:37:38 PM: 11:37:38 PM: ❯ Current directory 11:37:38 PM: /opt/build/repo 11:37:38 PM: 11:37:38 PM: ❯ Config file 11:37:38 PM: /opt/build/repo/netlify.toml 11:37:38 PM: 11:37:38 PM: ❯ Context 11:37:38 PM: production 11:37:38 PM: 11:37:38 PM: ❯ Loading plugins 11:37:38 PM: - @netlify/plugin-gatsby@3.2.4 from netlify.toml and package.json 11:37:38 PM: - netlify-plugin-cypress@2.2.0 from netlify.toml and package.json 11:37:40 PM: 11:37:40 PM: ──────────────────────────────────────────────────────────────── 11:37:40 PM: 1. @netlify/plugin-gatsby (onPreBuild event) 11:37:40 PM: ──────────────────────────────────────────────────────────────── 11:37:40 PM: 11:37:40 PM: No Gatsby cache found. Building fresh. 11:37:40 PM: 11:37:40 PM: (@netlify/plugin-gatsby onPreBuild completed in 17ms) 11:37:40 PM: 11:37:40 PM: ──────────────────────────────────────────────────────────────── 11:37:40 PM: 2. netlify-plugin-cypress (onPreBuild event) 11:37:40 PM: ──────────────────────────────────────────────────────────────── 11:37:40 PM: 11:37:41 PM: [STARTED] Task without title. 11:37:44 PM: [SUCCESS] Task without title. 11:37:46 PM: [2266:0627/153746.716704:ERROR:zygote_host_impl_linux.cc(263)] Failed to adjust OOM score of renderer with pid 2420: Permission denied (13) 11:37:46 PM: [2420:0627/153746.749095:ERROR:sandbox_linux.cc(377)] InitializeSandbox() called with multiple threads in process gpu-process. 11:37:46 PM: [2420:0627/153746.764711:ERROR:gpu_memory_buffer_support_x11.cc(44)] dri3 extension not supported. 11:37:46 PM: Displaying Cypress info... 11:37:46 PM: Detected no known browsers installed 11:37:46 PM: Proxy Settings: none detected 11:37:46 PM: Environment Variables: 11:37:46 PM: CYPRESS_CACHE_FOLDER: ./node_modules/.cache/CypressBinary 11:37:46 PM: Application Data: /opt/buildhome/.config/cypress/cy/development 11:37:46 PM: Browser Profiles: /opt/buildhome/.config/cypress/cy/development/browsers 11:37:46 PM: Binary Caches: /opt/build/repo/node_modules/.cache/CypressBinary 11:37:46 PM: Cypress Version: 10.2.0 (stable) 11:37:46 PM: System Platform: linux (Ubuntu - 20.04) 11:37:46 PM: System Memory: 32.8 GB free 27.9 GB 11:37:47 PM: 11:37:47 PM: (netlify-plugin-cypress onPreBuild completed in 6.2s) 11:37:47 PM: 11:37:47 PM: ──────────────────────────────────────────────────────────────── 11:37:47 PM: 3. build.command from netlify.toml 11:37:47 PM: ──────────────────────────────────────────────────────────────── 11:37:47 PM: 11:37:47 PM: $ gatsby build 11:37:49 PM: success open and validate gatsby-configs, load plugins - 0.298s 11:37:49 PM: success onPreInit - 0.003s 11:37:49 PM: success initialize cache - 0.107s 11:37:49 PM: success copy gatsby files - 0.044s 11:37:49 PM: success Compiling Gatsby Functions - 0.251s 11:37:49 PM: success onPreBootstrap - 0.259s 11:37:50 PM: success createSchemaCustomization - 0.000s 11:37:50 PM: success Checking for changed pages - 0.000s 11:37:50 PM: success source and transform nodes - 0.154s 11:37:50 PM: info Writing GraphQL type definitions to /opt/build/repo/.cache/schema.gql 11:37:50 PM: success building schema - 0.402s 11:37:50 PM: success createPages - 0.000s 11:37:50 PM: success createPagesStatefully - 0.312s 11:37:50 PM: info Total nodes: 49, SitePage nodes: 26 (use --verbose for breakdown) 11:37:50 PM: success Checking for changed pages - 0.000s 11:37:50 PM: success onPreExtractQueries - 0.000s 11:37:54 PM: success extract queries from components - 3.614s 11:37:54 PM: success write out redirect data - 0.006s 11:37:54 PM: success Build manifest and related icons - 0.468s 11:37:54 PM: success onPostBootstrap - 0.469s 11:37:54 PM: info bootstrap finished - 7.967s 11:37:54 PM: success write out requires - 0.009s 11:38:19 PM: success Building production JavaScript and CSS bundles - 24.472s 11:38:38 PM: <w> [webpack.cache.PackFileCacheStrategy] Skipped not serializable cache item 'mini-css-extract-plugin /opt/build/repo/node_modules/css-loader/dist/cjs.js??ruleSet[1].rules[10].oneOf[0].use[1]!/opt/build/repo/node_modules/postcss-loader/dist/cjs.js??ruleSet[1].rules[10].oneOf[0].use[2]!/opt/build/repo/src/components/Footer/Footer.module.css|0|Compilation/modules|/opt/build/repo/node_modules/css-loader/dist/cjs.js??ruleSet[1].rules[10].oneOf[0].use[1]!/opt/build/repo/node_modules/postcss-loader/dist/cjs.js??ruleSet[1].rules[10].oneOf[0].use[2]!/opt/build/repo/src/components/Footer/Footer.module.css': No serializer registered for Warning 11:38:38 PM: <w> while serializing webpack/lib/cache/PackFileCacheStrategy.PackContentItems -> webpack/lib/NormalModule -> Array { 1 items } -> webpack/lib/ModuleWarning -> Warning 11:38:38 PM: <w> [webpack.cache.PackFileCacheStrategy] Skipped not serializable cache item 'mini-css-extract-plugin /opt/build/repo/node_modules/css-loader/dist/cjs.js??ruleSet[1].rules[10].oneOf[0].use[1]!/opt/build/repo/node_modules/postcss-loader/dist/cjs.js??ruleSet[1].rules[10].oneOf[0].use[2]!/opt/build/repo/src/components/Header/Header.module.css|0|Compilation/modules|/opt/build/repo/node_modules/css-loader/dist/cjs.js??ruleSet[1].rules[10].oneOf[0].use[1]!/opt/build/repo/node_modules/postcss-loader/dist/cjs.js??ruleSet[1].rules[10].oneOf[0].use[2]!/opt/build/repo/src/components/Header/Header.module.css': No serializer registered for Warning 11:38:38 PM: <w> while serializing webpack/lib/cache/PackFileCacheStrategy.PackContentItems -> webpack/lib/NormalModule -> Array { 1 items } -> webpack/lib/ModuleWarning -> Warning 11:38:39 PM: <w> [webpack.cache.PackFileCacheStrategy] Skipped not serializable cache item 'Compilation/modules|/opt/build/repo/node_modules/css-loader/dist/cjs.js??ruleSet[1].rules[9].oneOf[0].use[0]!/opt/build/repo/node_modules/postcss-loader/dist/cjs.js??ruleSet[1].rules[9].oneOf[0].use[1]!/opt/build/repo/src/components/Footer/Footer.module.css': No serializer registered for Warning 11:38:39 PM: <w> while serializing webpack/lib/cache/PackFileCacheStrategy.PackContentItems -> webpack/lib/NormalModule -> Array { 1 items } -> webpack/lib/ModuleWarning -> Warning 11:38:39 PM: <w> [webpack.cache.PackFileCacheStrategy] Skipped not serializable cache item 'Compilation/modules|/opt/build/repo/node_modules/css-loader/dist/cjs.js??ruleSet[1].rules[9].oneOf[0].use[0]!/opt/build/repo/node_modules/postcss-loader/dist/cjs.js??ruleSet[1].rules[9].oneOf[0].use[1]!/opt/build/repo/src/components/Header/Header.module.css': No serializer registered for Warning 11:38:39 PM: <w> while serializing webpack/lib/cache/PackFileCacheStrategy.PackContentItems -> webpack/lib/NormalModule -> Array { 1 items } -> webpack/lib/ModuleWarning -> Warning 11:38:41 PM: success Building HTML renderer - 21.648s 11:38:41 PM: success Execute page configs - 0.024s 11:38:41 PM: success Caching Webpack compilations - 0.000s 11:38:41 PM: success run queries in workers - 0.042s - 26/26 621.26/s 11:38:41 PM: success Merge worker state - 0.001s 11:38:41 PM: success Rewriting compilation hashes - 0.001s 11:38:41 PM: success Writing page-data.json files to public directory - 0.014s - 26/26 1818.92/s 11:38:45 PM: success Building static HTML for pages - 4.353s - 26/26 5.97/s 11:38:45 PM: info [gatsby-plugin-netlify] Creating SSR/DSG redirects... 11:38:45 PM: info [gatsby-plugin-netlify] Created 0 SSR/DSG redirects... 11:38:45 PM: success onPostBuild - 0.011s 11:38:45 PM: 11:38:45 PM: Pages 11:38:45 PM: ┌ src/pages/404.js 11:38:45 PM: │ ├ /404/ 11:38:45 PM: │ └ /404.html 11:38:45 PM: ├ src/pages/about.js 11:38:45 PM: │ └ /about/ 11:38:45 PM: ├ src/pages/accountSuccess.js 11:38:45 PM: │ └ /accountSuccess/ 11:38:45 PM: ├ src/pages/cart.js 11:38:45 PM: │ └ /cart/ 11:38:45 PM: ├ src/pages/faq.js 11:38:45 PM: │ └ /faq/ 11:38:45 PM: ├ src/pages/forgot.js 11:38:45 PM: │ └ /forgot/ 11:38:45 PM: ├ src/pages/how-to-use.js 11:38:45 PM: │ └ /how-to-use/ 11:38:45 PM: ├ src/pages/index.js 11:38:45 PM: │ └ / 11:38:45 PM: ├ src/pages/login.js 11:38:45 PM: │ └ /login/ 11:38:45 PM: ├ src/pages/orderConfirm.js 11:38:45 PM: │ └ /orderConfirm/ 11:38:45 PM: ├ src/pages/search.js 11:38:45 PM: │ └ /search/ 11:38:45 PM: ├ src/pages/shop.js 11:38:45 PM: │ └ /shop/ 11:38:45 PM: ├ src/pages/shopV2.js 11:38:45 PM: │ └ /shopV2/ 11:38:45 PM: ├ src/pages/signup.js 11:38:45 PM: │ └ /signup/ 11:38:45 PM: ├ src/pages/styling.js 11:38:45 PM: │ └ /styling/ 11:38:45 PM: ├ src/pages/support.js 11:38:45 PM: │ └ /support/ 11:38:45 PM: ├ src/pages/account/address.js 11:38:45 PM: │ └ /account/address/ 11:38:45 PM: ├ src/pages/account/favorites.js 11:38:45 PM: │ └ /account/favorites/ 11:38:45 PM: ├ src/pages/account/index.js 11:38:45 PM: │ └ /account/ 11:38:45 PM: ├ src/pages/account/orders.js 11:38:45 PM: │ └ /account/orders/ 11:38:45 PM: ├ src/pages/account/settings.js 11:38:45 PM: │ └ /account/settings/ 11:38:45 PM: ├ src/pages/account/viewed.js 11:38:45 PM: │ └ /account/viewed/ 11:38:45 PM: ├ src/pages/blog/index.js 11:38:45 PM: │ └ /blog/ 11:38:45 PM: ├ src/pages/blog/sample.js 11:38:45 PM: │ └ /blog/sample/ 11:38:45 PM: └ src/pages/product/sample.js 11:38:45 PM: └ /product/sample/ 11:38:45 PM: ╭────────────────────────────────────────────────────────────────────╮ 11:38:45 PM: │ │ 11:38:45 PM: │ (SSG) Generated at build time │ 11:38:45 PM: │ D (DSG) Deferred static generation - page generated at runtime │ 11:38:45 PM: │ ∞ (SSR) Server-side renders at runtime (uses getServerData) │ 11:38:45 PM: │ λ (Function) Gatsby function │ 11:38:45 PM: │ │ 11:38:45 PM: ╰────────────────────────────────────────────────────────────────────╯ 11:38:45 PM: info Done building in 58.825944508 sec 11:38:46 PM: 11:38:46 PM: (build.command completed in 59s) 11:38:46 PM: 11:38:46 PM: ──────────────────────────────────────────────────────────────── 11:38:46 PM: 4. @netlify/plugin-gatsby (onBuild event) 11:38:46 PM: ──────────────────────────────────────────────────────────────── 11:38:46 PM: 11:38:46 PM: Skipping Gatsby Functions and SSR/DSG support 11:38:46 PM: 11:38:46 PM: (@netlify/plugin-gatsby onBuild completed in 9ms) 11:38:46 PM: 11:38:46 PM: ──────────────────────────────────────────────────────────────── 11:38:46 PM: 5. Functions bundling 11:38:46 PM: ──────────────────────────────────────────────────────────────── 11:38:46 PM: 11:38:46 PM: The Netlify Functions setting targets a non-existing directory: netlify/functions 11:38:46 PM: 11:38:46 PM: (Functions bundling completed in 3ms) 11:38:46 PM: 11:38:46 PM: ──────────────────────────────────────────────────────────────── 11:38:46 PM: 6. @netlify/plugin-gatsby (onPostBuild event) 11:38:46 PM: ──────────────────────────────────────────────────────────────── 11:38:46 PM: 11:38:47 PM: Skipping Gatsby Functions and SSR/DSG support 11:38:47 PM: 11:38:47 PM: (@netlify/plugin-gatsby onPostBuild completed in 1.4s) 11:38:47 PM: 11:38:47 PM: ──────────────────────────────────────────────────────────────── 11:38:47 PM: 7. netlify-plugin-cypress (onPostBuild event) 11:38:47 PM: ──────────────────────────────────────────────────────────────── 11:38:47 PM: 11:38:49 PM: [2557:0627/153849.751277:ERROR:zygote_host_impl_linux.cc(263)] Failed to adjust OOM score of renderer with pid 2711: Permission denied (13) 11:38:49 PM: [2711:0627/153849.770005:ERROR:sandbox_linux.cc(377)] InitializeSandbox() called with multiple threads in process gpu-process. 11:38:49 PM: [2711:0627/153849.773016:ERROR:gpu_memory_buffer_support_x11.cc(44)] dri3 extension not supported. 11:38:52 PM: Couldn't find tsconfig.json. tsconfig-paths will be skipped 11:38:52 PM: tput: No value for $TERM and no -T specified 11:38:52 PM: ==================================================================================================== 11:38:52 PM: (Run Starting) 11:38:52 PM: ┌────────────────────────────────────────────────────────────────────────────────────────────────┐ 11:38:52 PM: │ Cypress: 10.2.0 │ 11:38:52 PM: │ Browser: Custom Chromium 90 (headless) │ 11:38:52 PM: │ Node Version: v16.15.1 (/opt/buildhome/.nvm/versions/node/v16.15.1/bin/node) │ 11:38:52 PM: │ Specs: 1 found (basic.cy.js) │ 11:38:52 PM: │ Searched: cypress/e2e/**/*.cy.{js,jsx,ts,tsx} │ 11:38:52 PM: └────────────────────────────────────────────────────────────────────────────────────────────────┘ 11:38:52 PM: ──────────────────────────────────────────────────────────────────────────────────────────────────── 11:38:52 PM: Running: basic.cy.js (1 of 1) 11:38:56 PM: 11:38:56 PM: sample render test 11:38:58 PM: ✓ displays the title text (2517ms) 11:38:58 PM: 1 passing (3s) 11:39:00 PM: (Results) 11:39:00 PM: ┌────────────────────────────────────────────────────────────────────────────────────────────────┐ 11:39:00 PM: │ Tests: 1 │ 11:39:00 PM: │ Passing: 1 │ 11:39:00 PM: │ Failing: 0 │ 11:39:00 PM: │ Pending: 0 │ 11:39:00 PM: │ Skipped: 0 │ 11:39:00 PM: │ Screenshots: 0 │ 11:39:00 PM: │ Video: true │ 11:39:00 PM: │ Duration: 2 seconds │ 11:39:00 PM: │ Spec Ran: basic.cy.js │ 11:39:00 PM: └────────────────────────────────────────────────────────────────────────────────────────────────┘ 11:39:00 PM: (Video) 11:39:00 PM: - Started processing: Compressing to 32 CRF 11:39:01 PM: - Finished processing: /opt/build/repo/cypress/videos/basic.cy.js.mp4 (1 second) 11:39:01 PM: tput: No value for $TERM and no -T specified 11:39:01 PM: ==================================================================================================== 11:39:01 PM: (Run Finished) 11:39:01 PM: Spec Tests Passing Failing Pending Skipped 11:39:01 PM: ┌────────────────────────────────────────────────────────────────────────────────────────────────┐ 11:39:01 PM: Creating deploy upload records 11:39:01 PM: │ ✔ basic.cy.js 00:02 1 1 - - - │ 11:39:01 PM: └────────────────────────────────────────────────────────────────────────────────────────────────┘ 11:39:01 PM: ✔ All specs passed! 00:02 1 1 - - - 11:39:01 PM: 11:39:01 PM: (netlify-plugin-cypress onPostBuild completed in 14s) 11:39:01 PM: 11:39:01 PM: ──────────────────────────────────────────────────────────────── 11:39:01 PM: 8. Deploy site 11:39:01 PM: ──────────────────────────────────────────────────────────────── 11:39:01 PM: 11:39:01 PM: Starting to deploy site from 'public' 11:39:01 PM: Creating deploy tree 11:39:01 PM: 0 new files to upload 11:39:01 PM: 0 new functions to upload 11:39:02 PM: Starting post processing 11:39:02 PM: Incorrect TOML configuration format: Key inputs is already used as table key 11:39:02 PM: Post processing - HTML 11:39:02 PM: Incorrect TOML configuration format: Key inputs is already used as table key 11:39:03 PM: Incorrect TOML configuration format: Key inputs is already used as table key 11:39:03 PM: Post processing - header rules 11:39:03 PM: Incorrect TOML configuration format: Key inputs is already used as table key 11:39:03 PM: Post processing - redirect rules 11:39:03 PM: Incorrect TOML configuration format: Key inputs is already used as table key 11:39:03 PM: Post processing done 11:39:07 PM: Site is live ✨ 11:39:07 PM: Finished waiting for live deploy in 6.137803722s 11:39:07 PM: Site deploy was successfully initiated 11:39:07 PM: 11:39:07 PM: (Deploy site completed in 6.4s) 11:39:07 PM: 11:39:07 PM: ──────────────────────────────────────────────────────────────── 11:39:07 PM: 9. @netlify/plugin-gatsby (onSuccess event) 11:39:07 PM: ──────────────────────────────────────────────────────────────── 11:39:07 PM: 11:39:07 PM: 11:39:07 PM: (@netlify/plugin-gatsby onSuccess completed in 5ms) 11:39:07 PM: 11:39:07 PM: ──────────────────────────────────────────────────────────────── 11:39:07 PM: 10. netlify-plugin-cypress (onSuccess event) 11:39:07 PM: ──────────────────────────────────────────────────────────────── 11:39:07 PM: 11:39:07 PM: 11:39:07 PM: (netlify-plugin-cypress onSuccess completed in 6ms) 11:39:08 PM: 11:39:08 PM: ──────────────────────────────────────────────────────────────── 11:39:08 PM: Netlify Build Complete 11:39:08 PM: ──────────────────────────────────────────────────────────────── 11:39:08 PM: 11:39:08 PM: (Netlify Build completed in 1m 29.4s) 11:39:08 PM: Caching artifacts 11:39:08 PM: Started saving node modules 11:39:08 PM: Finished saving node modules 11:39:08 PM: Started saving build plugins 11:39:08 PM: Finished saving build plugins 11:39:08 PM: Started saving pip cache 11:39:08 PM: Finished saving pip cache 11:39:08 PM: Started saving emacs cask dependencies 11:39:08 PM: Finished saving emacs cask dependencies 11:39:08 PM: Started saving maven dependencies 11:39:08 PM: Finished saving maven dependencies 11:39:08 PM: Started saving boot dependencies 11:39:08 PM: Finished saving boot dependencies 11:39:08 PM: Started saving rust rustup cache 11:39:08 PM: Finished saving rust rustup cache 11:39:08 PM: Started saving go dependencies 11:39:08 PM: Finished saving go dependencies 11:39:10 PM: Build script success 11:39:10 PM: Pushing to repository git@github.com:Lhagawajaw/hymd-baraa 11:40:32 PM: Finished processing build request in 4m30.278982258s
landscapeio / Pylint CommonPylint plugin for augmenting and improving error detection and analysis in the standard Python library.
iam-mhaseeb / PyspectyA happy light weight library to search python errors on stackoverflow automatically.
vedantpuri / PyosphereA hack to enable easy and error-free imports in Python.
jagv091205 / Python To C ConverterPython to C converter will convert python programming language to C (in bits) so that a c compiler can run it and give corresponding output. It can also identify errors.
xybor-x / XyerrorPython-like error design in Golang
pyxploiter / EResolverEResolver is a python module which helps you to find the solution for your syntax error.