44 lines
1.5 KiB
Org Mode
44 lines
1.5 KiB
Org Mode
* Serialization and deserialization library for BQN arrays
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This library allows to save and load BQN arrays to the binary [[https://numpy.org/doc/stable/reference/generated/numpy.lib.format.html][NPY
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format]] compatible with Numpy. It can also be used to interoperate
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with Numpy.
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** Limitations
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The library only support homogeneous multidimensional arrays with the
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following Numpy dtypes:
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| dtype | Description |
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|-------+-------------------------------------------------------------|
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| ~<f8~ | little-endian 64-bit double-precision floating point number |
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| ~<i4~ | little-endian 32-bit signed integer |
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| ~<u4~ | little-endian 32-bit unsigned integer |
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All other dtypes (big-endian numbers, booleans, bytes, objects, other
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sizes of floats or integers) are unsupported and files containing them
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will raise an error when loaded.
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When serializing BQN arrays, the library uses the most restrictive
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dtype possible. An array consisting only of positive integers will be
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saved as ~<u4~, otherwise ~<i4~ if there are negative integers,
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otherwise ~<f8~ for arbitrary numbers.
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** Usage
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#+begin_src bqn
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⟨SaveNpy,LoadNpy⟩←•Import"npy.bqn"
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# Deserialization
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arr1←LoadNpy"arr1.npy"
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# Serialization
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arr2←2‿3‿4⥊•rand.Range 0 # will be saved as a floating point array
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"arr2.npy" SaveNpy arr2
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#+end_src
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** Tests
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Run the Python script to generate test data: =python gentest.py=.
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To run tests, run =bqn tests.bqn=.
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