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|
%global _empty_manifest_terminate_build 0
Name: python-qpt-generator
Version: 0.1.7
Release: 1
Summary: Question Paper Template Generator
License: MIT
URL: https://github.com/Niraj-Kamdar/qpt_generator
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/c0/38/1fbb5213305467fdb47108d9401120feb81c0cec6108eaf945e51d8d3a88/qpt_generator-0.1.7.tar.gz
%description
# qpt_generator
An implementation of Question Paper Template Generation Algorithm written in C++ to provide high performance. It uses Cython internally to create python package.
## Introduction
Generation of question papers through a question bank is an important activity in learning management systems and educational institutions. The quality of question paper is based on various design constraints such as whether a question paper assesses different problem solving skills as per Bloom's taxonomy, whether it covers all units from the syllabus of a course and whether it covers various difficulty levels.
I have implemented algorithm written by Vaibhav M. Kale and Arvind W. Kiwelekar for question paper template generation in C++ to provide fast performance. Implementation is extensible in terms of constriant it support to create question paper template.
The qpt_generator package was motivated by the needs of my academic project [Question Paper Generator](https://github.com/Niraj-Kamdar/question-paper-generator).
## Installation
You can install qpt_generator using easy_install with following command:
```console
pip install qpt-generator
```
or
```console
easy_install qpt-generator
```
## Usage
After installing module, you can import it using following command:
```python
from qpt_generator import QPTGenerator
```
You have to provide two inputs to the constructor of QPTGenerator:
1. A dictionary of constraints and lists of distribution of mark</br>
Ex: if you want to generate paper with 4 constraint:
- Unit-wise distribution of marks
- Difficulty level-wise distribution of marks
- Cognitive level-wise distribution of marks
- Question-wise distribution of marks
2. A list of question no. associated with list of question-wise mark distributions. Repitition of same question no. indicates subquestions of that question.
Output will be generated when you call generate method of the QPTGenerator class. Here, output is a dictionary of list of the alloted unit, cognitive level, difficulty and mark by question no.
```python
from qpt_generator import QPTGenerator
mark_distributions = {
"question": [5, 5, 10, 4, 6, 5, 5],
"unit": [8, 8, 8, 5, 11],
"difficulty": [13, 15, 12],
"cognitive": [12, 18, 10],
}
question_no = [1, 1, 2, 3, 3, 4, 4]
qpt = QPTGenerator(mark_distributions, question_no)
output = qpt.generate()
# output = {'cognitive': [2, 3, 2, 3, 3, 1, 3, 1, 1, 2],
# 'difficulty': [3, 1, 2, 2, 1, 3, 3, 1, 2, 3],
# 'question': [5, 5, 8, 2, 2, 1, 1, 6, 5, 5],
# 'question_no': [1, 1, 2, 2, 3, 3, 3, 3, 4, 4],
# 'unit': [4, 5, 1, 3, 2, 2, 3, 5, 2, 3]}
```
To satisfy all given constraints:
question 1 should have 2 subquestions:
- first question should have cognitive_level = 2, difficulty = 3, unit no.= 4 and mark = 5
- second question should have cognitive_level = 3, difficulty = 1, unit no.= 5 and mark = 5
You can randomly select this kind of questions from your question bank database if it exists.
## References
1) [An Algorithm for Question Paper Template
Generation in Question Paper Generation System](https://ieeexplore.ieee.org/document/6557281?arnumber=6557281&tag=1)
%package -n python3-qpt-generator
Summary: Question Paper Template Generator
Provides: python-qpt-generator
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
BuildRequires: python3-cffi
BuildRequires: gcc
BuildRequires: gdb
%description -n python3-qpt-generator
# qpt_generator
An implementation of Question Paper Template Generation Algorithm written in C++ to provide high performance. It uses Cython internally to create python package.
## Introduction
Generation of question papers through a question bank is an important activity in learning management systems and educational institutions. The quality of question paper is based on various design constraints such as whether a question paper assesses different problem solving skills as per Bloom's taxonomy, whether it covers all units from the syllabus of a course and whether it covers various difficulty levels.
I have implemented algorithm written by Vaibhav M. Kale and Arvind W. Kiwelekar for question paper template generation in C++ to provide fast performance. Implementation is extensible in terms of constriant it support to create question paper template.
The qpt_generator package was motivated by the needs of my academic project [Question Paper Generator](https://github.com/Niraj-Kamdar/question-paper-generator).
## Installation
You can install qpt_generator using easy_install with following command:
```console
pip install qpt-generator
```
or
```console
easy_install qpt-generator
```
## Usage
After installing module, you can import it using following command:
```python
from qpt_generator import QPTGenerator
```
You have to provide two inputs to the constructor of QPTGenerator:
1. A dictionary of constraints and lists of distribution of mark</br>
Ex: if you want to generate paper with 4 constraint:
- Unit-wise distribution of marks
- Difficulty level-wise distribution of marks
- Cognitive level-wise distribution of marks
- Question-wise distribution of marks
2. A list of question no. associated with list of question-wise mark distributions. Repitition of same question no. indicates subquestions of that question.
Output will be generated when you call generate method of the QPTGenerator class. Here, output is a dictionary of list of the alloted unit, cognitive level, difficulty and mark by question no.
```python
from qpt_generator import QPTGenerator
mark_distributions = {
"question": [5, 5, 10, 4, 6, 5, 5],
"unit": [8, 8, 8, 5, 11],
"difficulty": [13, 15, 12],
"cognitive": [12, 18, 10],
}
question_no = [1, 1, 2, 3, 3, 4, 4]
qpt = QPTGenerator(mark_distributions, question_no)
output = qpt.generate()
# output = {'cognitive': [2, 3, 2, 3, 3, 1, 3, 1, 1, 2],
# 'difficulty': [3, 1, 2, 2, 1, 3, 3, 1, 2, 3],
# 'question': [5, 5, 8, 2, 2, 1, 1, 6, 5, 5],
# 'question_no': [1, 1, 2, 2, 3, 3, 3, 3, 4, 4],
# 'unit': [4, 5, 1, 3, 2, 2, 3, 5, 2, 3]}
```
To satisfy all given constraints:
question 1 should have 2 subquestions:
- first question should have cognitive_level = 2, difficulty = 3, unit no.= 4 and mark = 5
- second question should have cognitive_level = 3, difficulty = 1, unit no.= 5 and mark = 5
You can randomly select this kind of questions from your question bank database if it exists.
## References
1) [An Algorithm for Question Paper Template
Generation in Question Paper Generation System](https://ieeexplore.ieee.org/document/6557281?arnumber=6557281&tag=1)
%package help
Summary: Development documents and examples for qpt-generator
Provides: python3-qpt-generator-doc
%description help
# qpt_generator
An implementation of Question Paper Template Generation Algorithm written in C++ to provide high performance. It uses Cython internally to create python package.
## Introduction
Generation of question papers through a question bank is an important activity in learning management systems and educational institutions. The quality of question paper is based on various design constraints such as whether a question paper assesses different problem solving skills as per Bloom's taxonomy, whether it covers all units from the syllabus of a course and whether it covers various difficulty levels.
I have implemented algorithm written by Vaibhav M. Kale and Arvind W. Kiwelekar for question paper template generation in C++ to provide fast performance. Implementation is extensible in terms of constriant it support to create question paper template.
The qpt_generator package was motivated by the needs of my academic project [Question Paper Generator](https://github.com/Niraj-Kamdar/question-paper-generator).
## Installation
You can install qpt_generator using easy_install with following command:
```console
pip install qpt-generator
```
or
```console
easy_install qpt-generator
```
## Usage
After installing module, you can import it using following command:
```python
from qpt_generator import QPTGenerator
```
You have to provide two inputs to the constructor of QPTGenerator:
1. A dictionary of constraints and lists of distribution of mark</br>
Ex: if you want to generate paper with 4 constraint:
- Unit-wise distribution of marks
- Difficulty level-wise distribution of marks
- Cognitive level-wise distribution of marks
- Question-wise distribution of marks
2. A list of question no. associated with list of question-wise mark distributions. Repitition of same question no. indicates subquestions of that question.
Output will be generated when you call generate method of the QPTGenerator class. Here, output is a dictionary of list of the alloted unit, cognitive level, difficulty and mark by question no.
```python
from qpt_generator import QPTGenerator
mark_distributions = {
"question": [5, 5, 10, 4, 6, 5, 5],
"unit": [8, 8, 8, 5, 11],
"difficulty": [13, 15, 12],
"cognitive": [12, 18, 10],
}
question_no = [1, 1, 2, 3, 3, 4, 4]
qpt = QPTGenerator(mark_distributions, question_no)
output = qpt.generate()
# output = {'cognitive': [2, 3, 2, 3, 3, 1, 3, 1, 1, 2],
# 'difficulty': [3, 1, 2, 2, 1, 3, 3, 1, 2, 3],
# 'question': [5, 5, 8, 2, 2, 1, 1, 6, 5, 5],
# 'question_no': [1, 1, 2, 2, 3, 3, 3, 3, 4, 4],
# 'unit': [4, 5, 1, 3, 2, 2, 3, 5, 2, 3]}
```
To satisfy all given constraints:
question 1 should have 2 subquestions:
- first question should have cognitive_level = 2, difficulty = 3, unit no.= 4 and mark = 5
- second question should have cognitive_level = 3, difficulty = 1, unit no.= 5 and mark = 5
You can randomly select this kind of questions from your question bank database if it exists.
## References
1) [An Algorithm for Question Paper Template
Generation in Question Paper Generation System](https://ieeexplore.ieee.org/document/6557281?arnumber=6557281&tag=1)
%prep
%autosetup -n qpt-generator-0.1.7
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-qpt-generator -f filelist.lst
%dir %{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.7-1
- Package Spec generated
|
