1.抽取文本 wiki数据内容比较复杂,所以在处理之前需要做一些预处理。通过 process_wiki.py 将wiki数据中的每一篇文章转为1行文本。 执行下行命令: ''' process_wiki.py 处理程序 enwiki-latest-pages-articles.xml.bz2 英文wiki数据 wiki.en.text 输出的文本文件 ''' python process_wiki.py enwiki-latest-pages...
program=os.path.basename(sys.argv[0]) logger=logging.getLogger(program) logging.basicConfig(format='%(asctime)s: %(levelname)s: %(message)s') logging.root.setLevel(level=logging.INFO) logger.info("running %s"%' '.join(sys.argv)) # check and process input arguments iflen(sys.argv) !=...
obs=self.venv.reset()returnself.process(obs)defstep_wait(self): obs, rews, dones, infos=self.venv.step_wait()returnself.process(obs), rews, dones, infosclassCloudpickleWrapper(object):"""Uses cloudpickle to serialize contents (otherwise multiprocessing tries to use pickle)"""def__init__(sel...
import os, uuid, re, IPython import ipywidgets as widgets import time from glob import glob from google.colab import output, drive from IPython.display import clear_output import os, sys, urllib.request HOME = os.path.expanduser("~") pathDoneCMD = f'{HOME}/doneCMD.sh' if not os.path...
UpdatedMar 2, 2025 TypeScript vishwajeetraj11/osresume Star92 Code Issues Pull requests It's a streamlined online tool designed to simplify the process of creating a resume. The core technologies I used are Next.js and MongoDB. reactresume-templateresumemongodbnextjsresume-creatorresume-builderyup...
path_or_fp = os.path.join(self.root_dir, fn) _path, slice_ptr = parse_path(path_or_fp) if len(slice_ptr) == 2: byte_data = read_from_stored_zip(_path, slice_ptr[0], slice_ptr[1]) assert is_sf_audio_data(byte_data) ...
Process(os.getpid()) new_model = Word2Vec.load('/tmp/mymodel.pkl') vector = new_model.wv["science"] annoy_index = AnnoyIndexer(new_model, 100) approximate_neighbors = new_model.wv.most_similar([vector], topn=5, indexer=annoy_index) print('\nMemory used by process {}: {}\n--...
如果文件已经存在(即 os.path.exists(filename)返回结果为真),那么函数不会再下载文件。接下来,expected_bytes 函数会对文件大小进行检查,以确保下载文件与预期的文件大小一致。如果一切正常,将返回至用于提取数据的文件对象。为了在本例所用数据集中调用该函数,我们执行了下面的代码:...
# process_wiki_data.py 用于解析XML,将XML的wiki数据转换为text格式胡2*! import logging import os.path import sys from gensim.corpora import WikiCorpus if __name__ == '__main__': program = os.path.basename(sys.argv[0]) logger = logging.getLogger(program) ...
os.path.join(self.config.dataset_path, self.config.manifest_file_name) ) train_df, eval_df = train_test_split( df, test_size=self.config.num_eval_data ) train_df.reset_index(drop=True, inplace=True) eval_df.reset_index(drop=True, inplace=True) ...