mirror of https://github.com/m-labs/artiq.git
190 lines
4.8 KiB
Python
190 lines
4.8 KiB
Python
"""
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This module provide serialization and deserialization functions for Python
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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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* 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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The main rationale for this new custom serializer (instead of using JSON) is
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that JSON does not support Numpy and more generally cannot be extended with
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other data types while keeping a concise syntax. Here we can use the Python
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function call syntax to mark special data types.
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"""
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import base64
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from fractions import Fraction
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import os
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import tempfile
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import numpy
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_encode_map = {
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type(None): "none",
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bool: "bool",
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int: "number",
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float: "number",
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str: "str",
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bytes: "bytes",
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tuple: "tuple",
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list: "list",
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dict: "dict",
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Fraction: "fraction",
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numpy.ndarray: "nparray"
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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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}
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for _t in _numpy_scalar:
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_encode_map[getattr(numpy, _t)] = "npscalar"
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class _Encoder:
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def __init__(self, pretty):
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self.pretty = pretty
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self.indent_level = 0
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def indent(self):
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return " "*self.indent_level
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def encode_none(self, x):
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return "null"
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def encode_bool(self, x):
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if x:
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return "true"
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else:
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return "false"
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def encode_number(self, x):
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return str(x)
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def encode_str(self, x):
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# Do not use repr() for JSON compatibility.
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tt = {ord("\""): "\\\"", ord("\\"): "\\\\", ord("\n"): "\\n"}
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return "\"" + x.translate(tt) + "\""
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def encode_bytes(self, x):
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return repr(x)
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def encode_tuple(self, x):
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if len(x) == 1:
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return "(" + self.encode(x[0]) + ", )"
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else:
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r = "("
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r += ", ".join([self.encode(item) for item in x])
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r += ")"
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return r
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def encode_list(self, x):
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r = "["
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r += ", ".join([self.encode(item) for item in x])
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r += "]"
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return r
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def encode_dict(self, x):
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r = "{"
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if not self.pretty or len(x) < 2:
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r += ", ".join([self.encode(k) + ": " + self.encode(v)
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for k, v in x.items()])
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else:
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self.indent_level += 1
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r += "\n"
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first = True
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for k, v in x.items():
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if not first:
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r += ",\n"
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first = False
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r += self.indent() + self.encode(k) + ": " + self.encode(v)
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r += "\n" # no ','
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self.indent_level -= 1
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r += self.indent()
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r += "}"
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return r
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def encode_fraction(self, x):
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return "Fraction({}, {})".format(encode(x.numerator),
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encode(x.denominator))
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def encode_nparray(self, x):
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r = "nparray("
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r += encode(x.shape) + ", "
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r += encode(str(x.dtype)) + ", "
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r += encode(base64.b64encode(x).decode())
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r += ")"
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return r
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def encode_npscalar(self, x):
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r = "npscalar("
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r += "\"" + type(x).__name__ + "\", "
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r += encode(base64.b64encode(x).decode())
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r += ")"
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return r
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def encode(self, x):
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return getattr(self, "encode_" + _encode_map[type(x)])(x)
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def encode(x, pretty=False):
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"""Serializes a Python object and returns the corresponding string in
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Python syntax.
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"""
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return _Encoder(pretty).encode(x)
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def _nparray(shape, dtype, data):
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a = numpy.frombuffer(base64.b64decode(data), dtype=dtype)
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return a.reshape(shape)
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def _npscalar(ty, data):
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return numpy.frombuffer(base64.b64decode(data), dtype=ty)[0]
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_eval_dict = {
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"__builtins__": None,
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"null": None,
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"false": False,
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"true": True,
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"Fraction": Fraction,
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"nparray": _nparray,
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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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"""
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return eval(s, _eval_dict, {})
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def store_file(filename, x):
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"""Encodes a Python object and writes it to the specified file."""
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contents = encode(x, True)
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directory = os.path.abspath(os.path.dirname(filename))
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with tempfile.NamedTemporaryFile("w", dir=directory, delete=False) as f:
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f.write(contents)
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f.write("\n")
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tmpname = f.name
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os.replace(tmpname, filename)
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def load_file(filename):
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"""Parses the specified file and returns the decoded Python object."""
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with open(filename, "r") as f:
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return decode(f.read())
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