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Dropped 'pure' from description of semchunk as a Python library.
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README.md

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# semchunk
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<a href="https://pypi.org/project/semchunk/" alt="PyPI Version"><img src="https://img.shields.io/pypi/v/semchunk"></a> <a href="https://github.com/umarbutler/semchunk/actions/workflows/ci.yml" alt="Build Status"><img src="https://img.shields.io/github/actions/workflow/status/umarbutler/semchunk/ci.yml?branch=main"></a> <a href="https://app.codecov.io/gh/umarbutler/semchunk" alt="Code Coverage"><img src="https://img.shields.io/codecov/c/github/umarbutler/semchunk"></a> <a href="https://pypistats.org/packages/semchunk" alt="Downloads"><img src="https://img.shields.io/pypi/dm/semchunk"></a>
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`semchunk` is a fast and lightweight pure Python library for splitting text into semantically meaningful chunks.
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`semchunk` is a fast and lightweight Python library for splitting text into semantically meaningful chunks.
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Owing to its complex yet highly efficient chunking algorithm, `semchunk` is both more semantically accurate than [`langchain.text_splitter.RecursiveCharacterTextSplitter`](https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/recursive_text_splitter) (see [How It Works 🔍](https://github.com/umarbutler/semchunk#how-it-works-)) and is also over 90% faster than [`semantic-text-splitter`](https://pypi.org/project/semantic-text-splitter/) (see the [Benchmarks 📊](https://github.com/umarbutler/semchunk#benchmarks-)).
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pyproject.toml

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authors = [
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{name="Umar Butler", email="[email protected]"},
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]
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description = "A fast and lightweight pure Python library for splitting text into semantically meaningful chunks."
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description = "A fast and lightweight Python library for splitting text into semantically meaningful chunks."
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readme = "README.md"
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requires-python = ">=3.9"
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license = {text="MIT"}

src/semchunk/__init__.py

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"""A fast and lightweight pure Python library for splitting text into semantically meaningful chunks."""
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"""A fast and lightweight Python library for splitting text into semantically meaningful chunks."""
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from .semchunk import chunk, chunkerify

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