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docs/wiki/Description.da.md
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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.
docs/wiki/Home.da.md
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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).
docs/wiki/Home.md
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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 docs/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)