smartchunks 0.1.1

Advanced Python chunking with stride, filtering, and expressions

smartchunks

smartchunks is a flexible, powerful chunking utility for Python that provides more than just slicing — it allows pattern-based, overlapping, and conditional chunking.

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✨ Features

• ✅ Standard fixed-size chunking
• ✅ nth_position: Take every nth item before or after chunking
• ✅ chunk_position: Pick every nth chunk
• ✅ stride: Create overlapping chunks (sliding window)
• ✅ fillvalue: Pad final incomplete chunks
• ✅ filter_fn: Apply a custom condition to keep or discard chunks
• ✅ materialize: Toggle between generator and list output

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📦 Installation

pip install smartchunks

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🧪 Usage Examples

from smartchunks import chunked

data = [1, 2, 3, 4, 5, 6, 7, 8, 9]

🔹 Standard Chunking

print(list(chunked(data, size=3)))
# → [[1, 2, 3], [4, 5, 6], [7, 8, 9]]

🔹 nth_position (Before Chunking)

print(list(chunked(data, size=2, nth_position=2)))
# → [[1, 3], [5, 7], [9]]

🔹 chunk_position (Every nth Chunk)

print(list(chunked(data, size=2, chunk_position=2)))
# → [[3, 4], [7, 8]]

🔹 nth_position After Chunking

print(list(chunked(data, size=3, nth_position=2, apply_nth_before_chunk=False)))
# → [[2], [5], [8]]

🔹 Overlapping chunks (stride)

print(list(chunked(data, size=3, stride=1)))
# → [[1, 2, 3], [2, 3, 4], [3, 4, 5], [4, 5, 6], [5, 6, 7], [6, 7, 8], [7, 8, 9]]

🔹 Padding incomplete chunks

print(list(chunked([1, 2, 3, 4, 5], size=3, fillvalue=0)))
# → [[1, 2, 3], [4, 5, 0]]

🔹 Filtering chunks (keep those whose sum > 15)

print(list(chunked(data, size=3, stride=1, filter_fn=lambda x: sum(x) > 15)))
# → [[5, 6, 7], [6, 7, 8], [7, 8, 9], [8, 9]]

🔹 Materialized output

chunks = chunked(data, size=2)
print(next(chunks))  # Lazy generator by default

chunks = chunked(data, size=2, materialize=True)
print(chunks)  # Fully materialized list of chunks

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🧠 Advanced Combinations

print(list(chunked(data, size=2, stride=2, chunk_position=2, nth_position=2, apply_nth_before_chunk=False)))
# Apply chunking with stride, select every 2nd chunk, then take the 2nd element from each

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📜 License

MIT License © 2024 Maurya Allimuthu

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🧩 Special Examples

🔹 stride with overlap

data = [1, 2, 3, 4, 5, 6, 7, 8, 9]
print(list(chunked(data, size=3, stride=1)))
# → [[1, 2, 3], [2, 3, 4], [3, 4, 5], [4, 5, 6], [5, 6, 7], [6, 7, 8], [7, 8, 9]]

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🔹 nth_position then chunk_position

# Pick every 2nd element first, then every 2nd chunk
print(list(chunked(data, size=2, nth_position=2, chunk_position=2, apply_nth_before_chunk=True)))
# → [[5, 7]]

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🔹 chunk_position then nth_position

# Chunk normally, keep every 2nd chunk, then take 2nd element from each
print(list(chunked(data, size=2, chunk_position=2, nth_position=2, apply_nth_before_chunk=False)))
# → [[4], [8]]