This application is the basic of automated online-class-joiner(for YıldızEdu) within the right time. Gets the ZOOM link by scheduled date and time.

Overview

version: basic ( 🎉 )

YILDIZ EDU - ..

This application is the basic of automated online-class-joiner(for YıldızEdu) within the right time.
Gets the ZOOM link by scheduled date and time.

image

POST Details

Log In
online.yildiz.edu.tr './Account/Login'
REQUEST_METHOD 'POST'
'Data.Mail' 'username'
'Data.Password' 'password'
'RememberMe' 'false'
Method Description
PHI.UI.Transaction.execute('Information', '/Account/Login', null, function (n) Log In
PHI.UI.Transaction.merge('details', '/ViewOnlineLessonProgramForStudent/ListAttendance' Gets the List Of Lessons/Classes
PHI.UI.Transaction.popuplg('Ders Kayıtları', '/ViewOnlineLessonProgramForStudent/Watch' Classes Records

Usage

..//ViewOnlineLessonProgramForStudent/.
LMS.EDU.LessonProgram.ViewOnlineLessonProgramForStudent = {
  start: function (n) {
    PHI.UI.Transaction.init('LMS.EDU.LessonProgram.ViewOnlineLessonProgramForStudent', {
      onLoad: function () {
        LMS.EDU.LessonProgram.ViewOnlineLessonProgramForStudent.view(n)
      },
      actions: [
      ]
    })
  },
  view: function (n) {
    PHI.UI.Transaction.load('/ViewOnlineLessonProgramForStudent/View', {
      Data: {
        No: n
      }
    }, function (t) {
      t.IsSuccess && LMS.EDU.LessonProgram.ViewOnlineLessonProgramForStudent.listAttendance(n);
      PHI.UI.Transaction.hideHeaderAndFooter()
    })
  },
  listAttendance: function (n) {
    PHI.UI.Transaction.merge('details', '/ViewOnlineLessonProgramForStudent/ListAttendance', {
      Data: {
        LessonProgramNo: n
      }
    }, function () {
    })
  },
  attend: function (n, t, i, r) {
    PHI.UI.Transaction.call('/ViewOnlineLessonProgramForStudent/Attend', {
      Data: {
        LessonProgramDetailNo: n,
        LessonProgramNo: t,
        StartTime: i,
        EndTime: r
      }
    }, function (n) {
      PHI.UI.Transaction.isMobileOrTablet() ? window.location.href = n.ScriptBag.RoomTypeId.toUpperCase() == '99A01A60-23B6-491E-902D-739388551E0D' ? n.ScriptBag.StudentJoinUrl + '?session=' + n.ScriptBag.Cookie : n.ScriptBag.StudentJoinUrl : n.ScriptBag.RoomTypeId.toUpperCase() == '99A01A60-23B6-491E-902D-739388551E0D' ? window.open(n.ScriptBag.StudentJoinUrl + '?session=' + n.ScriptBag.Cookie, 'Breeze', 'toolbar=no,menubar=no,width=800,height=600,resizable=yes') : window.open(n.ScriptBag.StudentJoinUrl)
    })
  },
  watch: function (n) {
    PHI.UI.Transaction.popuplg('Ders Kayıtları', '/ViewOnlineLessonProgramForStudent/Watch', {
      Data: {
        No: n
      }
    }, [
    ], function () {
    })
  }
};
../Cockpit/ViewCockpit/.
view: function () {
    PHI.UI.Transaction.load('/Cockpit/ViewCockpit', null, function (n) {
      PHI.UI.Transaction.refreshCalendar('event-calendar', 'detail', n.ScriptBag.Events, function (t) {
      
        t.type == 'Lesson Program' && (n.Account.Roles.toUpperCase().includes('4F17F639-335A-4CDF-9DB5-09B67C72D8B6') ?
        LMS.EDU.LessonProgram.ViewOnlineLessonProgramForStudent.start(t.no) : LMS.EDU.LessonProgram.ViewOnlineLessonProgramForInstructor.start(t.no));
        
        t.type == 'Meeting' && LMS.EDU.Meeting.ViewMeeting.start(t.no);
        
        t.type == 'Evaluation' && (n.Account.Roles.toUpperCase().includes('4F17F639-335A-4CDF-9DB5-09B67C72D8B6') ?
        LMS.EDU.Evaluation.ListEvaluationForStudent.start(t.no) : LMS.EDU.Evaluation.ListEvaluation.start(t.no))
        
      });
      PHI.UI.Transaction.hideHeaderAndFooter()
    });
    var n = 300,
    t = setInterval(function () {
      n = n - 1;
      n == 0 && LMS.CORE.Cockpit.ViewCockpit.isNewSession();
      n < 0 && (n = 300)
    }, 1000)
  },

´´´
Owner
215355
Programmer | Reverser
215355
Reproducible research and reusable acyclic workflows in Python. Execute code on HPC systems as if you executed them on your personal computer!

Reproducible research and reusable acyclic workflows in Python. Execute code on HPC systems as if you executed them on your machine! Motivation Would

Joeri Hermans 15 Sep 11, 2022
Learning Synthetic Environments and Reward Networks for Reinforcement Learning

Learning Synthetic Environments and Reward Networks for Reinforcement Learning We explore meta-learning agent-agnostic neural Synthetic Environments (

AutoML-Freiburg-Hannover 16 Sep 02, 2022
The code from the paper Character Transformations for Non-Autoregressive GEC Tagging

Character Transformations for Non-Autoregressive GEC Tagging Milan Straka, Jakub Náplava, Jana Straková Charles University Faculty of Mathematics and

ÚFAL 5 Dec 10, 2022
Accelerating BERT Inference for Sequence Labeling via Early-Exit

Sequence-Labeling-Early-Exit Code for ACL 2021 paper: Accelerating BERT Inference for Sequence Labeling via Early-Exit Requirement: Please refer to re

李孝男 23 Oct 14, 2022
Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion (CVPR'2021, Oral)

DSA^2 F: Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion (CVPR'2021, Oral) This repo is the official imp

如今我已剑指天涯 46 Dec 21, 2022
Content shared at DS-OX Meetup

Streamlit-Projects Streamlit projects available in this repo: An introduction to Streamlit presented at DS-OX (Feb 26, 2020) meetup Streamlit 101 - Ja

Arvindra 69 Dec 23, 2022
PyTorch original implementation of Cross-lingual Language Model Pretraining.

XLM NEW: Added XLM-R model. PyTorch original implementation of Cross-lingual Language Model Pretraining. Includes: Monolingual language model pretrain

Facebook Research 2.7k Dec 27, 2022
AI-generated-characters for Learning and Wellbeing

AI-generated-characters for Learning and Wellbeing Click here for the full project page. This repository contains the source code for the paper AI-gen

MIT Media Lab 214 Jan 01, 2023
Learning to Reach Goals via Iterated Supervised Learning

Vanilla GCSL This repository contains a vanilla implementation of "Learning to Reach Goals via Iterated Supervised Learning" proposed by Dibya Gosh et

Christoph Heindl 4 Aug 10, 2022
A python script to lookup Passport Index Dataset

visa-cli A python script to lookup Passport Index Dataset Installation pip install visa-cli Usage usage: visa-cli [-h] [-d DESTINATION_COUNTRY] [-f]

rand-net 16 Oct 18, 2022
This is the official code for the paper "Learning with Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision"

RUAS This is the official code for the paper "Learning with Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision" A prelimin

Vision & Optimization Group (VOG) 2 May 05, 2022
Unofficial Tensorflow-Keras implementation of Fastformer based on paper [Fastformer: Additive Attention Can Be All You Need](https://arxiv.org/abs/2108.09084).

Fastformer-Keras Unofficial Tensorflow-Keras implementation of Fastformer based on paper Fastformer: Additive Attention Can Be All You Need. Tensorflo

Yam Peleg 10 Jan 30, 2022
Pytorch implementation of MixNMatch

MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation [Paper] Yuheng Li, Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Le

910 Dec 30, 2022
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

912 Jan 08, 2023
It is a system used to detect bone fractures. using techniques deep learning and image processing

MohammedHussiengadalla-Intelligent-Classification-System-for-Bone-Fractures It is a system used to detect bone fractures. using techniques deep learni

Mohammed Hussien 7 Nov 11, 2022
use machine learning to recognize gesture on raspberrypi

Raspberrypi_Gesture-Recognition use machine learning to recognize gesture on raspberrypi 說明 利用 tensorflow lite 訓練手部辨識模型 分辨 "剪刀"、"石頭"、"布" 之手勢 再將訓練模型匯入

1 Dec 10, 2021
An Intelligent Self-driving Truck System For Highway Transportation

Inceptio Intelligent Truck System An Intelligent Self-driving Truck System For Highway Transportation Note The code is still in development. OS requir

InceptioResearch 11 Jul 13, 2022
PyTorch implementation of CVPR'18 - Perturbative Neural Networks

This is an attempt to reproduce results in Perturbative Neural Networks paper. See original repo for details.

Michael Klachko 57 May 14, 2021
PyTorch implementation of SimSiam: Exploring Simple Siamese Representation Learning

SimSiam: Exploring Simple Siamese Representation Learning This is a PyTorch implementation of the SimSiam paper: @Article{chen2020simsiam, author =

Facebook Research 834 Dec 30, 2022
Lightweight Cuda Renderer with Python Wrapper.

pyRender Lightweight Cuda Renderer with Python Wrapper. Compile Change compile.sh line 5 to the glm library include path. This library can be download

Jingwei Huang 53 Dec 02, 2022