forked from M-Labs/artiq
pyon: complex types
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@ -5,7 +5,7 @@ objects. Its main features are:
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* Human-readable format compatible with the Python syntax.
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* Each object is serialized on a single line, with only ASCII characters.
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* Supports all basic Python data structures: None, booleans, integers,
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floats, strings, tuples, lists, dictionaries.
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floats, complex numbers, strings, tuples, lists, dictionaries.
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* Those data types are accurately reconstructed (unlike JSON where e.g. tuples
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become lists, and dictionary keys are turned into strings).
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* Supports Numpy arrays.
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@ -33,6 +33,7 @@ _encode_map = {
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bool: "bool",
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int: "number",
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float: "number",
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complex: "number",
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str: "str",
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bytes: "bytes",
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tuple: "tuple",
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@ -46,8 +47,10 @@ _encode_map = {
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}
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_numpy_scalar = {
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"int8", "int16", "int32", "int64", "uint8", "uint16", "uint32", "uint64",
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"float16", "float32", "float64"
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"int8", "int16", "int32", "int64",
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"uint8", "uint16", "uint32", "uint64",
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"float16", "float32", "float64", "float128",
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"complex64", "complex128", "complex256",
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}
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@ -132,7 +135,7 @@ class _Encoder:
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self.encode(x.denominator))
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def encode_ordereddict(self, x):
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return "OrderedDict("+ self.encode(list(x.items())) +")"
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return "OrderedDict(" + self.encode(list(x.items())) + ")"
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def encode_nparray(self, x):
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r = "nparray("
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@ -186,6 +189,7 @@ _eval_dict = {
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"npscalar": _npscalar
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}
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def decode(s):
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"""Parses a string in the Python syntax, reconstructs the corresponding
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object, and returns it."""
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