A simple, pythonic library for working with and humanizing file sizes.
Project description
sizelib
sizelib is a lightweight, type-safe Python Library for working with and humanizing file sizes. It offers clean, type-preserving size helpers (supporting both `int` and `float`) and loop-based human readable string conversions.
🔗 PyPI Package
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🆔 pip install sizelib or uv add sizelib
🐍 SDK
Installation
pip install sizelib
# or
uv add sizelib
Size Helper Functions
from sizelib import size
# Define constraints using binary (base 2 / 1024) or decimal (base 10 / 1000) helper methods
MAX_UPLOAD_SIZE = size.mib(10) # 10 MiB (10485760 bytes)
CACHE_LIMIT = size.gib(2) # 2 GiB (2147483648 bytes)
USER_QUOTA = size.gb(50) # 50 GB (50000000000 bytes)
print(MAX_UPLOAD_SIZE) # Output: 10485760
print(type(MAX_UPLOAD_SIZE)) # Output: <class 'int'>
Humanize Byte Sizes
from sizelib import humanize
# Default binary formatting (base 2 / 1024)
print(humanize(MAX_UPLOAD_SIZE)) # Output: 10 MiB
print(humanize(CACHE_LIMIT)) # Output: 2 GiB
# Decimal values are formatted up to 2 decimal places
TOTAL = CACHE_LIMIT + size.mib(500)
print(humanize(TOTAL)) # Output: 2.49 GiB
# Decimal formatting (base 10 / 1000)
print(humanize(USER_QUOTA, base=10)) # Output: 50 GB
✨ Features
| FEATURE | DESCRIPTION |
|---|---|
| 📏 Unit Helpers | Standardized functions for all major divisions (kb, mb, gb, tb, kib, mib, gib, tib) |
| 🧪 Type Preservation | Dynamically maintains input types (returns int/floats accordingly) |
| ⚙️ Custom Bases | Support for both binary (base=2 / 1024) and decimal (base=10 / 1000) formats |
| ⚡ Ultra Minimalism | Zero external dependencies with an optimized, lightweight iteration algorithm |
🏗️ System Architecture
| # | COMPONENT | DESCRIPTION | STACK |
|---|---|---|---|
| 1️⃣ | Sizelib Size | The math factor constants and unit calculation helper functions | Python |
| 2️⃣ | Sizelib Format | The humanization formatting module for readable string units | Python |
Made with 📄 by Saptarshi Roy
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