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doc: fix table formatting problem, add 'string constant' as supported compiler type
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@ -13,6 +13,7 @@ A number of Python features can be used inside a kernel for compilation and exec
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* 64-bit signed integers (use ``numpy.int64`` to convert)
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* Double-precision floating point numbers
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* Lists of any supported types
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* String constants
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* User-defined classes, with attributes of any supported types (attributes that are not used anywhere in the kernel are ignored)
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For a demonstration of some of these features, see the ``mandelbrot.py`` example.
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@ -29,29 +30,29 @@ Kernel code can call host functions without any additional ceremony. However, su
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The Python types correspond to ARTIQ type annotations as follows:
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+-------------+-------------------------+
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| Python | ARTIQ |
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+=============+=========================+
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| NoneType | TNone |
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+-------------+-------------------------+
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| bool | TBool |
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+-------------+-------------------------+
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| int | TInt32 or TInt64 |
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+-------------+-------------------------+
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| float | TFloat |
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+-------------+-------------------------+
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| str | TStr |
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+-------------+-------------------------+
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| list of T | TList(T) |
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+-------------+-------------------------+
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| range | TRange32, TRange64 |
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+-------------+-------------------------+
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| numpy.int32 | TInt32 |
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+-------------+-------------------------+
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| numpy.int64 | TInt64 |
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+-------------+-------------------------+
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| numpy.float64 | TFloat |
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+-------------+-------------------------+
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+---------------+-------------------------+
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| Python | ARTIQ |
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+===============+=========================+
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| NoneType | TNone |
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+-------------+---------------------------+
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| bool | TBool |
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+-------------+---------------------------+
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| int | TInt32 or TInt64 |
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+-------------+---------------------------+
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| float | TFloat |
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+-------------+---------------------------+
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| str | TStr |
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+-------------+---------------------------+
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| list of T | TList(T) |
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+-------------+---------------------------+
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| range | TRange32, TRange64 |
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+-------------+---------------------------+
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| numpy.int32 | TInt32 |
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+-------------+---------------------------+
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| numpy.int64 | TInt64 |
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+-------------+---------------------------+
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| numpy.float64 | TFloat |
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+-------------+---------------------------+
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Pitfalls
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--------
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