sort self.word_embeddings without instantiating it a new dict

import sys

import traceback

import inspect

from collections import namedtuple, OrderedDict

from collections import namedtuple

import torch

import tqdm

class EmbeddingDatabase:

    def __init__(self):

        self.ids_lookup = {}

        self.word_embeddings = OrderedDict()

        self.word_embeddings = {}

        self.skipped_embeddings = {}

        self.expected_shape = -1

        self.embedding_dirs = {}

            embdir.update()

        # re-sort word_embeddings because load_from_dir may not load in alphabetic order.

        self.word_embeddings = {e.name: e for e in sorted(self.word_embeddings.values(), key=lambda e: e.name.lower())}

        # using a temporary copy so we don't reinitialize self.word_embeddings in case other objects have a reference to it.

        sorted_word_embeddings = {e.name: e for e in sorted(self.word_embeddings.values(), key=lambda e: e.name.lower())}

        self.word_embeddings.clear()

        self.word_embeddings.update(sorted_word_embeddings)

        displayed_embeddings = (tuple(self.word_embeddings.keys()), tuple(self.skipped_embeddings.keys()))

        if self.previously_displayed_embeddings != displayed_embeddings: