A tiny, human-friendly text format.
Project description
minicem
Kompakt, insan tarafından okunabilir minik bir metin formatı ve Python için encoder/decoder fonksiyonları.
A tiny, human-friendly text format.
https://github.com/muslu/minicem
Ne işe yarar? / What is it for?
- JSON kadar gürültülü değil, YAML kadar karmaşık değil.
Not as noisy as JSON, not as complex as YAML. - Küçük config / prompt / ayar dosyalarını elle yazmak için ideal.
Ideal for small configs, prompts and settings. - Daha az karakter ⇒ LLM / yapay zeka prompt’larında daha az token ⇒ daha ucuz ve hızlı.
Fewer characters ⇒ fewer tokens in LLM / AI prompts ⇒ cheaper and faster.
Format Özeti / Format Summary
- ✅ Dict ve list yapıları:
{key:val, key2:val2}[1,2,3]
- ✅ Kompakt bool ve None:
True -> +1False -> +0None -> _
- ✅ Yorum desteği:
- Tırnak dışındaki
#sonrası yorum kabul edilir.
- Tırnak dışındaki
- ✅ Tek satır veya çok satırlı (YAML benzeri) blok formatı
- ✅ Basit Python tipleri:
dict,list,str,int,float,bool,None
- minicem, aynı veride JSON compact’tan ~%15 daha kısa. (minicem is ~15% shorter than compact JSON for this example.)
- LLM prompt’larında her karakter token maliyetine yaklaşır (In LLM prompts, fewer characters ≈ fewer tokens)
- Daha ucuz istekler / cheaper requests (Daha hızlı yanıtlar / faster responses)
- Uzun context kullanan uygulamalarda daha verimli / more efficient in long-context apps
Kurulum
pip install minicem
Örnek
from minicem import encode_mt, decode_mt
data = {
"users": [
{"id": 1, "name": "Ali", "active": True},
{"id": 2, "name": "Veli", "active": False},
{
"id": 3,
"name": "John Doe",
"active": True,
"meta": {"age": 32, "city": "New York"},
},
],
"nums": [1, 2, 3],
"title": "Example Data",
}
# Python -> minicem
text = encode_mt(data)
print("MINICEM:")
print(text)
# minicem -> Python
decoded = decode_mt(text)
print("DECODED:")
print(decoded)
assert decoded == data
Çıktı
#MINICEM:
{users:[{id:1, name:Ali, active:+1},{id:2, name:Veli, active:+0},{id:3, name:"John Doe", active:+1, meta:{age:32, city:"New York"}}], nums:[1,2,3], title:"Example Data"}
#DECODED:
{'users': [{'id': 1, 'name': 'Ali', 'active': True}, {'id': 2, 'name': 'Veli', 'active': False}, {'id': 3, 'name': 'John Doe', 'active': True, 'meta': {'age': 32, 'city': 'New York'}}], 'nums': [1, 2, 3], 'title': 'Example Data'}
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