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# Squirrel Census # Squirrel Census
Day 25 of Udemy's *100 Days of Code: The Complete Python Pro Bootcamp*: count the Day 25 of Udemy's *100 Days of Code: The Complete Python Pro Bootcamp*: count the
squirrels of the 2018 Central Park Squirrel Census by primary fur colour (gray, squirrels of the 2018 Central Park Squirrel Census by primary fur colour (gray,
cinnamon, black) and export the counts to `squirrel_count.csv`. Python 3.13 or cinnamon, black) and export the counts to `squirrel_count.csv`. Python 3.13 or
later, no runtime dependencies, with tests and source documentation. later, no runtime dependencies, with tests and source documentation.
![Program run][img-run] ![Program run][img-run]
## Requirements ## Requirements
- Python 3.13 or later (`python --version` on Windows, `python3 --version` on Linux and macOS). - Python 3.13 or later (`python --version` on Windows, `python3 --version` on Linux and macOS).
- `venv`, which ships with Python (on Debian: the `python3-venv` package). - `venv`, which ships with Python (on Debian: the `python3-venv` package).
- The 2018 census file. It is already in the repository under `data/`. - The 2018 census file. It is already in the repository under `data/`.
- Optional: [Doxygen][doxygen] 1.9 or later, only to build the source documentation. - Optional: [Doxygen][doxygen] 1.9 or later, only to build the source documentation.
There are no runtime dependencies: the program uses only the Python standard library There are no runtime dependencies: the program uses only the Python standard library
([ADR-0001][adr-0001]). `pytest` is needed only to run the tests. ([ADR-0001][adr-0001]). `pytest` is needed only to run the tests.
## Set up ## Set up
Create a local virtual environment named `.venv` in the project folder, upgrade `pip` Create a local virtual environment named `.venv` in the project folder, upgrade `pip`
and install the project with its development tools (pytest, ruff, mypy). and install the project with its development tools (pytest, ruff, mypy).
### Windows powershell ### Windows powershell
```powershell ```powershell
python -m venv .venv python -m venv .venv
.\.venv\Scripts\Activate.ps1 .\.venv\Scripts\Activate.ps1
python -m pip install --upgrade pip python -m pip install --upgrade pip
python -m pip install -e ".[dev]" python -m pip install -e ".[dev]"
``` ```
If PowerShell refuses to run the activation script, allow it for the current session: If PowerShell refuses to run the activation script, allow it for the current session:
`Set-ExecutionPolicy -Scope Process -ExecutionPolicy RemoteSigned`. `Set-ExecutionPolicy -Scope Process -ExecutionPolicy RemoteSigned`.
### Linux debian ### Linux debian
```bash ```bash
sudo apt install python3 python3-venv sudo apt install python3 python3-venv
python3 -m venv .venv python3 -m venv .venv
source .venv/bin/activate source .venv/bin/activate
python -m pip install --upgrade pip python -m pip install --upgrade pip
python -m pip install -e ".[dev]" python -m pip install -e ".[dev]"
``` ```
### MacOS ### MacOS
```bash ```bash
python3 -m venv .venv python3 -m venv .venv
source .venv/bin/activate source .venv/bin/activate
python -m pip install --upgrade pip python -m pip install --upgrade pip
python -m pip install -e ".[dev]" python -m pip install -e ".[dev]"
``` ```
On macOS, Python 3.13 can be installed with `brew install python@3.13`. On macOS, Python 3.13 can be installed with `brew install python@3.13`.
## Run ## Run
With the virtual environment active, run from the project folder: With the virtual environment active, run from the project folder:
```bash ```bash
python -m squirrel python -m squirrel
``` ```
The program reads `data/2018_Central_Park_Squirrel_Census_-_Squirrel_Data.csv`, prints The program reads `data/2018_Central_Park_Squirrel_Census_-_Squirrel_Data.csv`, prints
the colour counts and writes `squirrel_count.csv`: the colour counts and writes `squirrel_count.csv`:
```text ```text
Gray: 2473 Gray: 2473
Cinnamon: 392 Cinnamon: 392
Black: 103 Black: 103
``` ```
Use other files by passing them as arguments, `python -m squirrel <census file> <summary file>`. Use other files by passing them as arguments, `python -m squirrel <census file> <summary file>`.
If the census file does not exist the program prints a message and exits with status 2. If the census file does not exist the program prints a message and exits with status 2.
## Run the tests ## Run the tests
```bash ```bash
python -m pytest python -m pytest
``` ```
![Test run][img-tests] ![Test run][img-tests]
The tests use small fixture rows; one test also checks the real 2018 census file when The tests use small fixture rows; one test also checks the real 2018 census file when
it is present. it is present.
## Continuous integration ## Continuous integration
The workflow [`.gitea/workflows/ci.yml`][ci] runs for every push to `main` and for every The workflow [`.gitea/workflows/ci.yml`][ci] runs for every push to `main` and for every
pull request. It sets up Python 3.13, creates a `.venv`, upgrades `pip`, installs the pull request. It sets up Python 3.13, creates a `.venv`, upgrades `pip`, installs the
project with `.[dev]` and runs `python -m pytest`. It uses `github.*` contexts only, so project with `.[dev]` and runs `python -m pytest`. It uses `github.*` contexts only, so
it also runs on GitHub Actions. it also runs on GitHub Actions.
## Build the source documentation ## Build the source documentation
The source is documented with Doxygen comments and configured by [`Doxyfile`][doxyfile]. The source is documented with Doxygen comments and configured by [`Doxyfile`][doxyfile].
```bash ```bash
doxygen Doxyfile doxygen Doxyfile
``` ```
Open `docs/doxygen/html/index.html` in a browser. The output folder is ignored by git. Open `docs/doxygen/html/index.html` in a browser. The output folder is ignored by git.
## Project layout ## Project layout
```text ```text
.gitea/workflows/ci.yml continuous integration workflow .gitea/workflows/ci.yml continuous integration workflow
data/ the 2018 census file data/ the 2018 census file
docs/ business case, plan, milestones, models, reviews, ADRs docs/ business case, plan, milestones, models, reviews, ADRs
docs/images/ screenshots used by this README and the wiki docs/images/ screenshots used by this README and the wiki
src/squirrel/ the package: census.py, cli.py, constants.py src/squirrel/ the package: census.py, cli.py, constants.py
tests/ pytest tests tests/ pytest tests
Doxyfile Doxygen configuration wiki/ wiki pages in English, Danish (.da) and Bahasa Malaysia (.ms)
pyproject.toml project configuration (Python >=3.13, no runtime dependencies) Doxyfile Doxygen configuration
squirrel_count.csv the result of the assignment pyproject.toml project configuration (Python >=3.13, no runtime dependencies)
``` squirrel_count.csv the result of the assignment
```
The project documents, in reading order: [Business Case][bc], [Stakeholder
Analysis][sa], [Project Plan][pp], [Use Case][uc], [Domain Model][dm], [ADR-0001][adr-0001]. The project documents, in reading order: [Business Case][bc], [Stakeholder
The repository also has a wiki in English, Danish and Bahasa Malaysia. Analysis][sa], [Project Plan][pp], [Use Case][uc], [Domain Model][dm], [ADR-0001][adr-0001].
The repository also has a wiki in English, Danish and Bahasa Malaysia.
## License
## License
GNU Affero General Public License v3.0 or later. See [LICENSE][license].
GNU Affero General Public License v3.0 or later. See [LICENSE][license].
---
---
[img-run]: docs/images/run.png
[img-tests]: docs/images/tests.png [img-run]: docs/images/run.png
[doxygen]: https://www.doxygen.nl/ [img-tests]: docs/images/tests.png
[adr-0001]: docs/adr/adr-0001-standard-library-instead-of-pandas.md [doxygen]: https://www.doxygen.nl/
[ci]: .gitea/workflows/ci.yml [adr-0001]: docs/adr/adr-0001-standard-library-instead-of-pandas.md
[doxyfile]: Doxyfile [ci]: .gitea/workflows/ci.yml
[bc]: docs/business-case.md [doxyfile]: Doxyfile
[sa]: docs/stakeholder-analysis.md [bc]: docs/business-case.md
[pp]: docs/project-plan.md [sa]: docs/stakeholder-analysis.md
[uc]: docs/uc-001/uc.md [pp]: docs/project-plan.md
[dm]: docs/domain-model.md [uc]: docs/uc-001/uc.md
[license]: LICENSE [dm]: docs/domain-model.md
[license]: LICENSE
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## Version History ## Version History
| Date | Status | Author | Reviewer | Change | Commit | | Date | Status | Author | Reviewer | Change | Commit |
| --- | --- | --- | --- | --- | --- | | --- | --- | --- | --- | --- | --- |
| 2026-10-13 | Proposed | Jens Tirsvad Nielsen | AI as stand-in for S01 | Initial version | [f1b3c03] | | 2026-10-13 | Deprecated | Jens Tirsvad Nielsen | AI as stand-in for S01 | Initial version | [f1b3c03] |
| 2026-10-13 | Accepted | Jens Tirsvad Nielsen | AI as stand-in for S01 | CrossReference: added [DM-002] | [259d017] | | 2026-10-13 | Accepted | Jens Tirsvad Nielsen | AI as stand-in for S01 | CrossReference: added [DM-002] | [259d017] |
--- ---
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## Version History ## Version History
| Date | Status | Author | Reviewer | Change | Commit | | Date | Status | Author | Reviewer | Change | Commit |
| --- | --- | --- | --- | --- | --- | | --- | --- | --- | --- | --- | --- |
| 2026-10-13 | Accepted | Jens Tirsvad Nielsen | S01 | Initial version | [f1b3c03] | | 2026-10-13 | Deprecated | Jens Tirsvad Nielsen | S01 | Initial version | [f1b3c03] |
| 2026-10-13 | Proposed | Jens Tirsvad Nielsen | AI as stand-in for S01 | CrossReference: added [US-001] | [259d017] | | 2026-10-13 | Accepted | Jens Tirsvad Nielsen | AI as stand-in for S01 | CrossReference: added [US-001] | [259d017] |
--- ---
## Purpose ## Purpose
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🌐 [English](Description) · **Dansk** · [Bahasa Melayu](Description.ms)
# Beskrivelse
## Hvad programmet gør
Programmet følger lektionens trin:
1. `read_csv` læser optællingsfilen.
2. `count_by_fur_color` tæller observationerne af Gray, Cinnamon og Black.
3. `build_summary` gør tallene til rækkerne i en opsummering.
4. `write_csv` skriver opsummeringen til `squirrel_count.csv`.
På optællingsfilen fra 2018 er resultatet Gray 2473, Cinnamon 392 og Black 103. Observationer uden pelsfarve tælles ikke med i nogen af dem.
## Hvorfor ikke Pandas
Lektionen bruger Pandas. Dette projekt bruger kun Pythons standardbibliotek (`csv` og `collections.Counter`), så der ikke er noget at installere for at køre det. Beslutningen er beskrevet som ADR-0001 i repositoryet.
## Opbygning
| Sti | Indhold |
| --- | --- |
| `src/squirrel/census.py` | De fire trin ovenfor |
| `src/squirrel/cli.py` | Kommandolinjen, `python -m squirrel` |
| `src/squirrel/constants.py` | Alle konstanter, defineret ét sted |
| `tests/` | pytest-testene |
| `docs/` | Business case, plan, modeller, reviewposter |
## Kvalitet
Alle dokumenter og al kode er gennemgået mod tjeklisterne i SQA- og QC-frameworket i autonom tilstand: reviewer er en AI-stedfortræder, så reviewene er ikke uafhængige.
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🌐 **English** · [Dansk](Description.da) · [Bahasa Melayu](Description.ms)
# Description
## What it does
The program follows the steps of the lecture:
1. `read_csv` reads the census file.
2. `count_by_fur_color` counts the sightings of Gray, Cinnamon and Black.
3. `build_summary` turns the counts into the rows of a summary.
4. `write_csv` writes the summary to `squirrel_count.csv`.
On the 2018 census file the result is Gray 2473, Cinnamon 392 and Black 103. Sightings without a fur colour are counted in none of them.
## Why no Pandas
The lecture uses Pandas. This project uses only the Python standard library (`csv` and `collections.Counter`) so that there is nothing to install to run it. The decision is recorded as ADR-0001 in the repository.
## Layout
| Path | Content |
| --- | --- |
| `src/squirrel/census.py` | The four steps above |
| `src/squirrel/cli.py` | The command line, `python -m squirrel` |
| `src/squirrel/constants.py` | Every literal, defined once |
| `tests/` | The pytest tests |
| `docs/` | Business case, plan, models, review records |
## Quality
Every document and every piece of code was reviewed against the checklists of the SQA and QC framework, in autonomous mode: the reviewer is an AI stand-in, so the reviews are not independent.
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🌐 [English](Description) · [Dansk](Description.da) · **Bahasa Melayu**
# Penerangan
## Apa yang dilakukan program
Program mengikut langkah dalam pelajaran:
1. `read_csv` membaca fail banci.
2. `count_by_fur_color` mengira pemerhatian Gray, Cinnamon dan Black.
3. `build_summary` menukar kiraan kepada baris ringkasan.
4. `write_csv` menulis ringkasan ke `squirrel_count.csv`.
Pada fail banci 2018 hasilnya ialah Gray 2473, Cinnamon 392 dan Black 103. Pemerhatian tanpa warna bulu tidak dikira dalam mana-mana satu.
## Mengapa tidak menggunakan Pandas
Pelajaran menggunakan Pandas. Projek ini hanya menggunakan pustaka standard Python (`csv` dan `collections.Counter`) supaya tiada apa-apa untuk dipasang bagi menjalankannya. Keputusan itu direkodkan sebagai ADR-0001 dalam repositori.
## Susun atur
| Laluan | Kandungan |
| --- | --- |
| `src/squirrel/census.py` | Empat langkah di atas |
| `src/squirrel/cli.py` | Baris perintah, `python -m squirrel` |
| `src/squirrel/constants.py` | Semua pemalar, ditakrif sekali |
| `tests/` | Ujian pytest |
| `docs/` | Kes perniagaan, pelan, model, rekod semakan |
## Kualiti
Setiap dokumen dan kod disemak berdasarkan senarai semak rangka kerja SQA dan QC dalam mod autonomi: penyemak ialah pengganti AI, jadi semakan itu tidak bebas.
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🌐 [English](Home) · **Dansk** · [Bahasa Melayu](Home.ms)
# Egern-optælling
Dag 25 i Udemys *100 Days of Code: The Complete Python Pro Bootcamp*: tæl egernene i Central Parks egern-optælling fra 2018 efter primær pelsfarve (grå, kanel, sort) og eksportér tallene til `squirrel_count.csv`.
![Programkørsel](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/025-squirrel/raw/branch/main/docs/images/run.png)
| Side | Læs den, når du vil |
| --- | --- |
| [Installation](Install.da) | Oprette et `.venv` og installere projektet på Windows PowerShell, Linux Debian eller macOS |
| [Brug](Usage.da) | Køre programmet og testene |
| [Beskrivelse](Description.da) | Forstå hvordan koden er bygget, og hvorfor den ikke har kørselsafhængigheder |
Koden, testene og projektdokumenterne ligger i [repositoryet](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/025-squirrel).
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🌐 **English** · [Dansk](Home.da) · [Bahasa Melayu](Home.ms)
# Squirrel Census
Day 25 of Udemy's *100 Days of Code: The Complete Python Pro Bootcamp*: count the squirrels of the 2018 Central Park Squirrel Census by primary fur colour (gray, cinnamon, black) and export the counts to `squirrel_count.csv`.
![Program run](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/025-squirrel/raw/branch/main/docs/images/run.png)
| Page | Read it when you want to |
| --- | --- |
| [Install](Install) | Create a `.venv` and install the project on Windows PowerShell, Linux Debian or macOS |
| [Usage](Usage) | Run the program and the tests |
| [Description](Description) | Understand how the code is built and why it has no runtime dependencies |
The code, the tests and the project documents are in the [repository](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/025-squirrel).
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🌐 [English](Home) · [Dansk](Home.da) · **Bahasa Melayu**
# Banci Tupai
Hari ke-25 dalam *100 Days of Code: The Complete Python Pro Bootcamp* Udemy: kira tupai dalam Banci Tupai Central Park 2018 mengikut warna bulu utama (kelabu, kayu manis, hitam) dan eksport kiraan ke `squirrel_count.csv`.
![Larian program](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/025-squirrel/raw/branch/main/docs/images/run.png)
| Halaman | Baca apabila anda mahu |
| --- | --- |
| [Pemasangan](Install.ms) | Mencipta `.venv` dan memasang projek di Windows PowerShell, Linux Debian atau macOS |
| [Penggunaan](Usage.ms) | Menjalankan program dan ujian |
| [Penerangan](Description.ms) | Memahami cara kod dibina dan sebab ia tiada kebergantungan masa jalan |
Kod, ujian dan dokumen projek berada dalam [repositori](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/025-squirrel).
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🌐 [English](Install) · **Dansk** · [Bahasa Melayu](Install.ms)
# Installation
Projektet kræver **Python 3.13 eller nyere**. Det har ingen kørselsafhængigheder; `pytest`, `ruff` og `mypy` er udviklingsværktøjer.
## Windows PowerShell
```powershell
python -m venv .venv
.\.venv\Scripts\Activate.ps1
python -m pip install --upgrade pip
python -m pip install -e ".[dev]"
```
## Linux Debian
```bash
sudo apt install python3 python3-venv
python3 -m venv .venv
source .venv/bin/activate
python -m pip install --upgrade pip
python -m pip install -e ".[dev]"
```
## macOS
```bash
python3 -m venv .venv
source .venv/bin/activate
python -m pip install --upgrade pip
python -m pip install -e ".[dev]"
```
Næste: [Brug](Usage.da).
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🌐 **English** · [Dansk](Install.da) · [Bahasa Melayu](Install.ms)
# Install
The project needs **Python 3.13 or later**. It has no runtime dependencies; `pytest`, `ruff` and `mypy` are development tools.
## Windows PowerShell
```powershell
python -m venv .venv
.\.venv\Scripts\Activate.ps1
python -m pip install --upgrade pip
python -m pip install -e ".[dev]"
```
## Linux Debian
```bash
sudo apt install python3 python3-venv
python3 -m venv .venv
source .venv/bin/activate
python -m pip install --upgrade pip
python -m pip install -e ".[dev]"
```
## macOS
```bash
python3 -m venv .venv
source .venv/bin/activate
python -m pip install --upgrade pip
python -m pip install -e ".[dev]"
```
Next: [Usage](Usage).
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🌐 [English](Install) · [Dansk](Install.da) · **Bahasa Melayu**
# Pemasangan
Projek ini memerlukan **Python 3.13 atau lebih baharu**. Ia tiada kebergantungan masa jalan; `pytest`, `ruff` dan `mypy` ialah alat pembangunan.
## Windows PowerShell
```powershell
python -m venv .venv
.\.venv\Scripts\Activate.ps1
python -m pip install --upgrade pip
python -m pip install -e ".[dev]"
```
## Linux Debian
```bash
sudo apt install python3 python3-venv
python3 -m venv .venv
source .venv/bin/activate
python -m pip install --upgrade pip
python -m pip install -e ".[dev]"
```
## macOS
```bash
python3 -m venv .venv
source .venv/bin/activate
python -m pip install --upgrade pip
python -m pip install -e ".[dev]"
```
Seterusnya: [Penggunaan](Usage.ms).
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🌐 [English](Usage) · **Dansk** · [Bahasa Melayu](Usage.ms)
# Brug
## Kør programmet
Med det virtuelle miljø aktivt, fra projektmappen:
```bash
python -m squirrel
```
Programmet læser `data/2018_Central_Park_Squirrel_Census_-_Squirrel_Data.csv`, skriver tallene for hver pelsfarve og gemmer `squirrel_count.csv`.
![Programkørsel](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/025-squirrel/raw/branch/main/docs/images/run.png)
Brug andre filer med `python -m squirrel <optællingsfil> <opsummeringsfil>`. Findes optællingsfilen ikke, skriver programmet `Census file not found` og afslutter med status 2.
## Kør testene
```bash
python -m pytest
```
![Testkørsel](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/025-squirrel/raw/branch/main/docs/images/tests.png)
## Byg kildedokumentationen
```bash
doxygen Doxyfile
```
Åbn `docs/doxygen/html/index.html`.
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🌐 **English** · [Dansk](Usage.da) · [Bahasa Melayu](Usage.ms)
# Usage
## Run the program
With the virtual environment active, from the project folder:
```bash
python -m squirrel
```
The program reads `data/2018_Central_Park_Squirrel_Census_-_Squirrel_Data.csv`, prints the colour counts and writes `squirrel_count.csv`.
![Program run](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/025-squirrel/raw/branch/main/docs/images/run.png)
Use other files with `python -m squirrel <census file> <summary file>`. If the census file does not exist, the program prints `Census file not found` and exits with status 2.
## Run the tests
```bash
python -m pytest
```
![Test run](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/025-squirrel/raw/branch/main/docs/images/tests.png)
## Build the source documentation
```bash
doxygen Doxyfile
```
Open `docs/doxygen/html/index.html`.
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🌐 [English](Usage) · [Dansk](Usage.da) · **Bahasa Melayu**
# Penggunaan
## Jalankan program
Dengan persekitaran maya aktif, dari folder projek:
```bash
python -m squirrel
```
Program membaca `data/2018_Central_Park_Squirrel_Census_-_Squirrel_Data.csv`, mencetak kiraan setiap warna bulu dan menulis `squirrel_count.csv`.
![Larian program](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/025-squirrel/raw/branch/main/docs/images/run.png)
Gunakan fail lain dengan `python -m squirrel <fail banci> <fail ringkasan>`. Jika fail banci tidak wujud, program mencetak `Census file not found` dan keluar dengan status 2.
## Jalankan ujian
```bash
python -m pytest
```
![Larian ujian](https://git.tirsystem.com/Tirsvad-Udemy-100-days-of-code/025-squirrel/raw/branch/main/docs/images/tests.png)
## Bina dokumentasi sumber
```bash
doxygen Doxyfile
```
Buka `docs/doxygen/html/index.html`.
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<!-- Generated from wiki; edit the source pages, not the published wiki. -->
**Squirrel Census**
**English**
- [Home](Home)
- [Install](Install)
- [Usage](Usage)
- [Description](Description)
**Dansk**
- [Hjem](Home.da)
- [Installation](Install.da)
- [Brug](Usage.da)
- [Beskrivelse](Description.da)
**Bahasa Melayu**
- [Utama](Home.ms)
- [Pemasangan](Install.ms)
- [Penggunaan](Usage.ms)
- [Penerangan](Description.ms)