Python glob.glob方法代碼示例

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import glob [as 別名]
def scan(self, path, exclude=[]) -> List[str]:
        """Scan path for matching files.

        :param path: the path to scan
        :param exclude: a list of directories to exclude

        :return: a list of sorted filenames
        """
        res = []
        path = path.rstrip("/").rstrip("\\")
        for pat in self.input_patterns:
            res.extend(glob.glob(path + os.sep + pat, recursive=True))

        res = list(filter(lambda p: os.path.isfile(p), res))

        if exclude:
            def excluded(path):
                for e in exclude:
                    if path.startswith(e):
                        return True
                return False

            res = list(filter(lambda p: not excluded(p), res))

        return sorted(res) 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import glob [as 別名]
def main(_):
  """Runs `text_utils.simplify_nq_example` over all shards of a split.

  Prints simplified examples to a single gzipped file in the same directory
  as the input shards.
  """
  split = os.path.basename(FLAGS.data_dir)
  outpath = os.path.join(FLAGS.data_dir,
                         "simplified-nq-{}.jsonl.gz".format(split))
  with gzip.open(outpath, "wb") as fout:
    num_processed = 0
    start = time.time()
    for inpath in glob.glob(os.path.join(FLAGS.data_dir, "nq-*-??.jsonl.gz")):
      print("Processing {}".format(inpath))
      with gzip.open(inpath, "rb") as fin:
        for l in fin:
          utf8_in = l.decode("utf8", "strict")
          utf8_out = json.dumps(
              text_utils.simplify_nq_example(json.loads(utf8_in))) + u"\n"
          fout.write(utf8_out.encode("utf8"))
          num_processed += 1
          if not num_processed % 100:
            print("Processed {} examples in {}.".format(num_processed,
                                                        time.time() - start)) 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import glob [as 別名]
def find_previous(self):
    sfiles = os.path.join(self.output_dir, cfg.TRAIN.SNAPSHOT_PREFIX + '_iter_*.pth')
    sfiles = glob.glob(sfiles)
    sfiles.sort(key=os.path.getmtime)
    # Get the snapshot name in pytorch
    redfiles = []
    for stepsize in cfg.TRAIN.STEPSIZE:
      redfiles.append(os.path.join(self.output_dir, 
                      cfg.TRAIN.SNAPSHOT_PREFIX + '_iter_{:d}.pth'.format(stepsize+1)))
    sfiles = [ss for ss in sfiles if ss not in redfiles]

    nfiles = os.path.join(self.output_dir, cfg.TRAIN.SNAPSHOT_PREFIX + '_iter_*.pkl')
    nfiles = glob.glob(nfiles)
    nfiles.sort(key=os.path.getmtime)
    redfiles = [redfile.replace('.pth', '.pkl') for redfile in redfiles]
    nfiles = [nn for nn in nfiles if nn not in redfiles]

    lsf = len(sfiles)
    assert len(nfiles) == lsf

    return lsf, nfiles, sfiles 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import glob [as 別名]
def main():
  opt, logger, vis = utils.build(is_train=False)

  dloader = data.get_data_loader(opt)
  print('Val dataset: {}'.format(len(dloader.dataset)))
  model = models.get_model(opt)

  for epoch in opt.which_epochs:
    # Load checkpoint
    if epoch == -1:
      # Find the latest checkpoint
      checkpoints = glob.glob(os.path.join(opt.ckpt_path, 'net*.pth'))
      assert len(checkpoints) > 0
      epochs = [int(filename.split('_')[-1][:-4]) for filename in checkpoints]
      epoch = max(epochs)
    logger.print('Loading checkpoints from {}, epoch {}'.format(opt.ckpt_path, epoch))
    model.load(opt.ckpt_path, epoch)

    results = evaluate(opt, dloader, model)
    for metric in results:
      logger.print('{}: {}'.format(metric, results[metric])) 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import glob [as 別名]
def index(request):
    ctx = get_context(request)
    cname = os.environ["PORTAL_CNAME"]
    template_dir = get_app_template_dirs("templates/notebooks")[0]
    htmls = os.path.join(template_dir, cname, "*.html")
    ctx["notebooks"] = [
        p.split("/" + cname + "/")[-1].replace(".html", "") for p in glob(htmls)
    ]
    ctx["PORTAL_CNAME"] = cname
    ctx["landing_pages"] = []
    mask = ["project", "title", "authors", "is_public", "description", "urls"]
    client = Client(headers=get_consumer(request))  # sets/returns global variable
    entries = client.projects.get_entries(_fields=mask).result()["data"]
    for entry in entries:
        authors = entry["authors"].strip().split(",", 1)
        if len(authors) > 1:
            authors[1] = authors[1].strip()
        entry["authors"] = authors
        entry["description"] = entry["description"].split(".", 1)[0] + "."
        ctx["landing_pages"].append(
            entry
        )  # visibility governed by is_public flag and X-Consumer-Groups header
    return render(request, "home.html", ctx.flatten()) 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import glob [as 別名]
def create_celeba(tfrecord_dir, celeba_dir, cx=89, cy=121):
    print('Loading CelebA from "%s"' % celeba_dir)
    glob_pattern = os.path.join(celeba_dir, 'img_align_celeba_png', '*.png')
    image_filenames = sorted(glob.glob(glob_pattern))
    expected_images = 202599
    if len(image_filenames) != expected_images:
        error('Expected to find %d images' % expected_images)
    
    with TFRecordExporter(tfrecord_dir, len(image_filenames)) as tfr:
        order = tfr.choose_shuffled_order()
        for idx in range(order.size):
            img = np.asarray(PIL.Image.open(image_filenames[order[idx]]))
            assert img.shape == (218, 178, 3)
            img = img[cy - 64 : cy + 64, cx - 64 : cx + 64]
            img = img.transpose(2, 0, 1) # HWC => CHW
            tfr.add_image(img)

#---------------------------------------------------------------------------- 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import glob [as 別名]
def locate_result_subdir(run_id_or_result_subdir):
    if isinstance(run_id_or_result_subdir, str) and os.path.isdir(run_id_or_result_subdir):
        return run_id_or_result_subdir

    searchdirs = []
    searchdirs += ['']
    searchdirs += ['results']
    searchdirs += ['networks']

    for searchdir in searchdirs:
        dir = config.result_dir if searchdir == '' else os.path.join(config.result_dir, searchdir)
        dir = os.path.join(dir, str(run_id_or_result_subdir))
        if os.path.isdir(dir):
            return dir
        prefix = '%03d' % run_id_or_result_subdir if isinstance(run_id_or_result_subdir, int) else str(run_id_or_result_subdir)
        dirs = sorted(glob.glob(os.path.join(config.result_dir, searchdir, prefix + '-*')))
        dirs = [dir for dir in dirs if os.path.isdir(dir)]
        if len(dirs) == 1:
            return dirs[0]
    raise IOError('Cannot locate result subdir for run', run_id_or_result_subdir) 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import glob [as 別名]
def data_stat():
    """data statistic"""
    audio_path = './data/esc10/audio/'
    class_list = [os.path.basename(i) for i in glob(audio_path + '*')]
    nums_each_class = [len(glob(audio_path + cl + '/*.ogg')) for cl in class_list]
    rects = plt.bar(range(len(nums_each_class)), nums_each_class)

    index = list(range(len(nums_each_class)))
    plt.title('Numbers of each class for ESC-10 dataset')
    plt.ylim(ymax=60, ymin=0)
    plt.xticks(index, class_list, rotation=45)
    plt.ylabel("numbers")

    for rect in rects:
        height = rect.get_height()
        plt.text(rect.get_x() + rect.get_width() / 2, height, str(height), ha='center', va='bottom')

    plt.tight_layout()
    plt.show() 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import glob [as 別名]
def get_cifar10(data_dir):
    if not os.path.isdir(data_dir):
        os.system("mkdir " + data_dir)
    cwd = os.path.abspath(os.getcwd())
    os.chdir(data_dir)
    if (not os.path.exists('train.rec')) or \
       (not os.path.exists('test.rec')) :
        import urllib, zipfile, glob
        dirname = os.getcwd()
        zippath = os.path.join(dirname, "cifar10.zip")
        urllib.urlretrieve("http://data.mxnet.io/mxnet/data/cifar10.zip", zippath)
        zf = zipfile.ZipFile(zippath, "r")
        zf.extractall()
        zf.close()
        os.remove(zippath)
        for f in glob.glob(os.path.join(dirname, "cifar", "*")):
            name = f.split(os.path.sep)[-1]
            os.rename(f, os.path.join(dirname, name))
        os.rmdir(os.path.join(dirname, "cifar"))
    os.chdir(cwd)

# data 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import glob [as 別名]
def test_completeness(self):
        """
        Make sure that every tutorial that isn't in the whitelist is considered for testing by this
        file. Exceptions should be added to the whitelist.
        N.B. If the test is commented out, then that will be viewed as an intentional disabling of the
        test.
        """
        # Open up this test file.
        with open(__file__, 'r') as f:
            notebook_test_text = '\n'.join(f.readlines())

        notebooks_path = os.path.join(os.path.dirname(__file__), 'straight_dope_book')
        notebooks = glob.glob(os.path.join(notebooks_path, '**', '*.ipynb'))

        # Compile a list of notebooks that are tested
        tested_notebooks = set(re.findall(r"assert _test_notebook\('(.*)'\)", notebook_test_text))

       # Ensure each notebook in the straight dope book directory is on the whitelist or is tested.
        for notebook in notebooks:
            friendly_name = '/'.join(notebook.split('/')[-2:]).split('.')[0]
            if friendly_name not in tested_notebooks and friendly_name not in NOTEBOOKS_WHITELIST:
                assert False, friendly_name + " has not been added to the nightly/tests/straight_" + \
                              "dope/test_notebooks_single_gpu.py test_suite. Consider also adding " + \
                              "it to nightly/tests/straight_dope/test_notebooks_multi_gpu.py as " + \
                              "well if the notebooks makes use of multiple GPUs." 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import glob [as 別名]
def test_tutorial_downloadable():
    """
    Make sure that every tutorial that isn't in the whitelist has the placeholder
    that enables notebook download
    """
    download_button_string = '<!-- INSERT SOURCE DOWNLOAD BUTTONS -->'

    tutorial_path = os.path.join(os.path.dirname(__file__), '..', '..', 'docs', 'tutorials')
    tutorials = glob.glob(os.path.join(tutorial_path, '**', '*.md'))

    for tutorial in tutorials:
        with open(tutorial, 'r') as file:
            lines= file.readlines()
        last = lines[-1]
        second_last = lines[-2]
        downloadable = download_button_string in last or download_button_string in second_last
        friendly_name = '/'.join(tutorial.split('/')[-2:])
        if not downloadable and friendly_name  not in whitelist_set:
            print(last, second_last)
            assert False, "{} is missing <!-- INSERT SOURCE DOWNLOAD BUTTONS --> as its last line".format(friendly_name) 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import glob [as 別名]
def test_multiprocessing_download_successful():
    """ test download with multiprocessing """
    tmp = tempfile.mkdtemp()
    tmpfile = os.path.join(tmp, 'README.md')
    process_list = []
    # test it with 10 processes
    for i in range(10):
        process_list.append(mp.Process(
            target=_download_successful, args=(tmpfile,)))
        process_list[i].start()
    for i in range(10):
        process_list[i].join()
    assert os.path.getsize(tmpfile) > 100, os.path.getsize(tmpfile)
    # check only one file we want left
    pattern = os.path.join(tmp, 'README.md*')
    assert len(glob.glob(pattern)) == 1, glob.glob(pattern)
    # delete temp dir
    shutil.rmtree(tmp) 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import glob [as 別名]
def _get_random_object(self, num_objects, test):
    """Randomly choose an object urdf from the random_urdfs directory.

    Args:
      num_objects:
        Number of graspable objects.

    Returns:
      A list of urdf filenames.
    """
    if test:
      urdf_pattern = os.path.join(self._urdfRoot, 'random_urdfs/*0/*.urdf')
    else:
      urdf_pattern = os.path.join(self._urdfRoot, 'random_urdfs/*[^0]/*.urdf')
    found_object_directories = glob.glob(urdf_pattern)
    total_num_objects = len(found_object_directories)
    selected_objects = np.random.choice(np.arange(total_num_objects),
                                        num_objects)
    selected_objects_filenames = []
    for object_index in selected_objects:
      selected_objects_filenames += [found_object_directories[object_index]]
    return selected_objects_filenames 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import glob [as 別名]
def main():
    quiet = len(sys.argv) >= 2 and sys.argv[1] == '-q'

    file_names = glob.glob('openfermion-cirq/**/*.py', recursive=True)
    failed, attempted = run_tests(file_names,
                                  include_modules=True,
                                  include_local=False,
                                  quiet=quiet)

    if failed != 0:
        print(
            shell_tools.highlight(
                f'Failed: {failed} failed, '
                '{attempted - failed} passed, {attempted} total',
                shell_tools.RED))
        sys.exit(1)
    else:
        print(shell_tools.highlight(f'Passed: {attempted}', shell_tools.GREEN))
        sys.exit(0) 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import glob [as 別名]
def copy_dependencies(f):
    config_path = '/etc/yangcatalog/yangcatalog.conf'
    config = ConfigParser.ConfigParser()
    config._interpolation = ConfigParser.ExtendedInterpolation()
    config.read(config_path)
    yang_models = config.get('Directory-Section', 'save-file-dir')
    tmp = config.get('Directory-Section', 'temp')
    out = f.getvalue()
    letters = string.ascii_letters
    suffix = ''.join(random.choice(letters) for i in range(8))
    dep_dir = '{}/yangvalidator-dependencies-{}'.format(tmp, suffix)
    os.mkdir(dep_dir)
    dependencies = out.split(':')[1].strip().split(' ')
    for dep in dependencies:
        for file in glob.glob(r'{}/{}*.yang'.format(yang_models, dep)):
            shutil.copy(file, dep_dir)
    return dep_dir