python类dump()的实例源码

def dump_binary(self, f):
    """
    Dumps the model as Jubatus binary model file to binary stream ``f``.
    """
    # Dump header
    self.header.dump(f)

    # Dump system_data
    self.system.dump(f)

    # Dump user_data
    if self._user_raw is None:
      printe('Warning: conversion from Python object to binary model format may generate corrupt model')
      self.user.dump(f)
    else:
      f.write(self._user_raw)

def dump_json(self, f, without_raw=False):
    """
    Dumps the model as JSON file to a text stream ``f``.
    """
    record = {}

    # Dump header
    record['header'] = dict(self.header.get())

    # Dump system_data
    record['system'] = dict(self.system.get())

    # Dump user_data
    record['user'] = dict(self.user.get())
    if not without_raw:
      record['user_raw'] = base64.b64encode(self._user_raw).decode()

    json.dump(record, f, indent=2)

def load_object(path, build_fn, *args, **kwargs):
    """ load from serialized form or build an object, saving the built
        object; kwargs provided to `build_fn`.
    """

    save = False
    obj = None

    if path is not None and os.path.isfile(path):
        with open(path, 'rb') as obj_f:
            obj = msgpack.load(obj_f, use_list=False, encoding='utf-8')
    else:
        save = True

    if obj is None:
        obj = build_fn(*args, **kwargs)

        if save and path is not None:
            with open(path, 'wb') as obj_f:
                msgpack.dump(obj, obj_f)

    return obj

def dump(cls, data):
    """
    Returns the dumped model data structure of the raw model data.
    """
    with tempfile.NamedTemporaryFile(mode='wb', prefix='jubakit-jubadump-') as f:
      f.write(data)
      f.flush()
      return cls.dump_file(f.name)

def dump(self, f, *args, **kwargs):
      # Must be implemented in sub classes.
      raise NotImplementedError

def dumps(self, *args, **kwargs):
      f = BytesIO()
      self.dump(f, *args, **kwargs)
      return f.getvalue()

def dump(self, f):
      values = list(map(lambda x: x[1], self.get()))
      msgpack.dump(values, f)

def dump(filepath, data, options=None):
    """Dump the output to disk (JSON, msgpack, etc)

    :param filepath: output file path
    :param data: serializable data to write to disk
    :param options: (Default value = None)
    :type options: dict

    """
    options = options or {}
    logger.debug("io.dump(%s, data, options=%s)", filepath, options)

    compress = options.get(constants.COMPRESSION, constants.NONE)
    if compress == constants.MSGPACK:
        try:
            import msgpack
        except ImportError:
            logger.error("msgpack module not found")
            raise

        logger.info("Dumping to msgpack")
        func = lambda x, y: msgpack.dump(x, y)
        mode = 'wb'
    else:
        round_off = options.get(constants.ENABLE_PRECISION)
        if round_off:
            _json.ROUND = options[constants.PRECISION]
        else:
            _json.ROUND = None

        indent = options.get(constants.INDENT, True)
        indent = 4 if indent else None
        compact_separators = (',', ':')
        logger.info("Dumping to JSON")
        func = lambda x, y: _json.json.dump(x, y, indent=indent, separators=compact_separators)
        mode = 'w'

    logger.info("Writing to %s", filepath)
    with open(filepath, mode=mode) as stream:
        func(data, stream)

def freqs_to_cBpack(input_file, output_file, cutoff=600):
    """
    Convert a frequency list into the idiosyncratic 'cBpack' format that
    will be loaded by wordfreq: a list in msgpack format of frequency
    tiers, each tier being one centibel (a factor of 10^(1/100))
    less frequent than the previous tier.
    """
    cBpack = []
    for line in input_file:
        word, strfreq = line.rstrip().split('\t', 1)
        if word == '__total__':
            raise ValueError(
                "This is a count file, not a frequency file"
            )
        freq = float(strfreq)
        neg_cB = -(round(math.log10(freq) * 100))
        if neg_cB >= cutoff:
            break
        while neg_cB >= len(cBpack):
            cBpack.append([])
        cBpack[neg_cB].append(word)

    for sublist in cBpack:
        sublist.sort()

    cBpack_data = [{'format': 'cB', 'version': 1}] + cBpack

    msgpack.dump(cBpack_data, output_file)

def to_msgpack(self, *args, **kwargs):
        return self.__dict__ #msgpack.dump(self.to_dict(*args, **kwargs))