scitex-core 0.2.7

Core infrastructure and fundamental utilities for the SciTeX ecosystem

scitex-core

Core infrastructure for the SciTeX ecosystem.

Interfaces: Python ⭐⭐⭐ (primary) · CLI — · MCP — · Skills ⭐⭐ · Hook — · HTTP —

Problem and Solution

#	Problem	Solution
1	10 separate scitex- utility packages for dev tooling* -- pip install scitex-str, scitex-dict, scitex-path, ... gets tedious	Bundled foundation -- import scitex_core exposes logging, errors, sh, path, str, dict, types, dt, parallel, repro in one install

Overview

scitex-core provides shared utilities used across all SciTeX packages:

• logging: Enhanced logging with colored output and file support
• errors: Common error classes with rich context
• sh: Safe shell command execution
• str: String utilities including ANSI color formatting
• path: File path and directory utilities
• repro: Reproducibility utilities (ID generation, random state management)
• types: Shared type definitions and validators

Installation

pip install scitex-core

Usage

Logging

from scitex_core import logging

logger = logging.getLogger(__name__)
logger.info("Hello from scitex-core!")
logger.success("Operation completed")

Path Utilities

from scitex_core import path

# Find files
py_files = path.find_file("/home/user/project", "*.py")

# Get current script path
script_path = path.this_path()

# Find git repository root
git_root = path.find_git_root()

# Clean and normalize paths
cleaned = path.clean("path/with/../spaces ")

Reproducibility

from scitex_core.repro import RandomStateManager, gen_id

# Random state management
rng_manager = RandomStateManager(seed=42)
data_gen = rng_manager("data")
data = data_gen.random(100)

# Verify reproducibility
rng_manager.verify(data, "my_data")

# Generate unique IDs
exp_id = gen_id()  # "2025Y-11M-10D-12h30m45s_aB3xY9z2"

Type Definitions

from scitex_core.types import ArrayLike, is_array_like, is_list_of_type

def process_data(data: ArrayLike) -> None:
    if is_array_like(data):
        print("Valid array-like data")

numbers = [1, 2, 3, 4]
if is_list_of_type(numbers, int):
    print("All elements are integers")

Packages Using scitex-core

• scitex-writer - Academic writing and LaTeX compilation
• scitex-scholar - Research paper management
• scitex-io - Scientific data I/O
• scitex - Main package

Development

# Clone repository
git clone https://github.com/ywatanabe1989/scitex-core

# Install in editable mode
cd scitex-core
pip install -e ".[dev]"

# Run tests
pytest tests/ -v

# Run tests with coverage
pytest --cov=src/scitex_core --cov-report=html tests/

# Quick test (no dependencies)
python3 tests/simple_runner.py

Testing

The project has comprehensive test coverage:

• 161+ test methods across 30+ test classes
• 3 test modules: errors, sh, logging
• Multiple test runners: pytest, simple_runner.py, run_tests.sh

See tests/README.md for detailed testing documentation.

Quick Test

# No installation required
python3 tests/simple_runner.py

Full Test Suite

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

# Run all tests
pytest tests/ -v

# Generate coverage report
./tests/run_tests.sh -c -h
open htmlcov/index.html

License

MIT License - see LICENSE file for details.