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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def from_disk(self, path, exclude=tuple(), disable=None):
 """Loads state from a directory. Modifies the object in place and returns it. If the saved `Language` object contains a model, the model will be loaded. path (unicode or Path):
 A path to a directory. exclude (list):
 Names of components or serialization fields to exclude. RETURNS (Language):
 The modified `Language` object. DOCS: https://spacy.io/api/language#from_disk """

        if disable is not None:
            deprecation_warning(Warnings.W014)
            exclude = disable
        path = util.ensure_path(path)
        deserializers = OrderedDict()
        deserializers["meta.json"] = lambda p: self.meta.update(srsly.read_json(p))
        deserializers["vocab"] = lambda p: self.vocab.from_disk(p) and _fix_pretrained_vectors_name(self)
        deserializers["tokenizer"] = lambda p: self.tokenizer.from_disk(p, exclude=["vocab"])
        for name, proc in self.pipeline:
            if name in exclude:
                continue
            if not hasattr(proc, "from_disk"):
                continue
            deserializers[name] = lambda p, proc=proc: proc.from_disk(p, exclude=["vocab"])
        if not (path / "vocab").exists() and "vocab" not in exclude:
            # Convert to list here in case exclude is (default) tuple
            exclude = list(exclude) + ["vocab"]
        util.from_disk(path, deserializers, exclude)
        self._path = path
        return self