libb-util

Documentation

libb

Python utility library with Rust-accelerated functions for text processing, iteration, dictionary sorting, and number parsing.

pip install libb-util

Quick Reference

from libb import Setting, compose, attrdict, timeout
from libb import multikeysort, numify, parse

# Configuration with dot notation
config = Setting()
config.database.host = 'localhost'
config.lock()

# Function composition
add_then_multiply = compose(lambda x: x * 2, lambda x: x + 1)
result = add_then_multiply(5)  # (5 + 1) * 2 = 12

# Attribute dictionary
d = attrdict(x=10, y=20)
print(d.x)  # 10

# Timeout decorator
@timeout(5)
def slow_function():
    pass

Installation

pip install libb-util

# With extras
pip install "libb-util[pandas,text,web,math]"

Available Extras

Extra Description
pandas DataFrame utilities with pyarrow
text Text processing (ftfy, rapidfuzz, chardet)
web Web frameworks (Flask, Twisted, web.py)
math Matplotlib charting
ldapauth Active Directory LDAPS authentication (ldap3)
tokenauth DynamoDB-backed API token registry (boto3)
test Testing tools (pytest, asserts)
docs Sphinx documentation

Core Modules

Configuration

Function/Class Description
Setting() Hierarchical config with dot notation and locking
attrdict(**kw) Dict with attribute access
dictobj(**kw) Immutable dict with attribute access

Function Utilities

Function Description
compose(*funcs) Right-to-left function composition
timeout(seconds) Decorator to limit function execution time
retry(tries, delay) Decorator for retry with exponential backoff
memoize(func) Cache function results
once(func) Execute function only once

Dictionary Operations (Rust-accelerated)

Function Description
multikeysort(items, columns) Sort list of dicts by multiple keys
numify(val, to=int) Convert string to number with format handling
parse(s) Extract number from string 
# Rust-accelerated sorting
data = [{'name': 'Alice', 'age': 30}, {'name': 'Bob', 'age': 25}]
multikeysort(data, ['age', '-name'])  # Sort by age asc, name desc

# Number parsing handles accounting formats
parse('1,200')      # 1200
parse('(500)')      # -500  (accounting negative)
parse('100.5%')     # 100.5

Iteration (Rust-accelerated)

Function Description
chunked(iterable, n) Split into chunks of size n
collapse(*args) Recursively flatten nested lists/tuples ⚡
backfill(values) Fill None values with last non-None ⚡
backfill_iterdict(iterdict) Back-fill dicts with latest values per key ⚡
same_order(ref, comp) Check if elements appear in same order ⚡
unique(iterable) Unique items preserving order

⚡ = Rust-accelerated

Text Processing (Rust-accelerated)

Function Description
sanitize_vulgar_string(s) Replace vulgar fractions with decimals ⚡
uncamel(camel) Convert CamelCase to snake_case ⚡
underscore_to_camelcase(s) Convert snake_case to camelCase ⚡
normalize(text) Unicode normalization
slugify(text) URL-safe slug
strip_html(text) Remove HTML tags
truncate(text, length) Truncate with ellipsis

⚡ = Rust-accelerated

I/O and Paths

Function Description
ensure_dir(path) Create directory if not exists
safe_filename(name) Sanitize filename
temp_file(**kw) Context manager for temp files
atomic_write(path) Atomic file write context

Concurrency

Function Description
threaded(func) Run function in thread
parallel_map(func, items) Parallel execution
Semaphore(n) Limit concurrent access

Process Management

Function Description
run_cmd(cmd) Execute shell command
is_running(pid) Check if process exists
kill_tree(pid) Kill process and children

Classes

OrderedSet

Set that maintains insertion order:

from libb import OrderedSet

s = OrderedSet([1, 2, 3, 2, 1])
list(s)  # [1, 2, 3]

Heap

Min/max heap implementations:

from libb import MinHeap, MaxHeap

h = MinHeap([3, 1, 4, 1, 5])
h.pop()  # 1

Documentation

Full documentation at bissli.github.io/libb-util:

Development

# Install dev dependencies
pip install -e ".[test,docs]"

# Build Rust extension
maturin develop

# Run tests
pytest

License

See LICENSE file.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.0.50)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for bissli from gravatar.com bissli

Credits

Author: bissli

License

0BSD

Requires

Python >=3.10

Provides Extra

deploy docs ldapauth math pandas test text tokenauth twd web

Classifiers

Report project as malware

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0.0.50

36 files

0.0.49

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0.0.48 This release

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