Python glob.iglob方法代碼示例

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import iglob [as 別名]
def check(self):
        """
        Check that the service is running and consistent with pid file(s).

        Returns True or False.
        """
        # Set of pids (strings) where the command string matches what we are
        # looking for.
        detected_pids = set()

        # Set of pids (strings) that are both running processes and found in
        # pid files.
        consistent_pids = set()

        # Search for running processes that match our command string.
        for proc in psutil.process_iter():
            try:
                if self.cmdstring in proc.name():
                    detected_pids.add(str(proc.pid))

            # We could also get psutil.ZombieProcess or
            # psutil.AccessDenied.  We want those to be logged.
            except psutil.NoSuchProcess:
                pass

        # Search for pid file(s) and check consistency.
        for pidfile in self.pidfiles:
            for path in glob.iglob(pidfile):
                with open(path, 'r') as source:
                    pid = source.read().strip()

                if pid in detected_pids:
                    consistent_pids.add(pid)
                else:
                    # Delete the stale pid file.
                    os.remove(path)

        return len(consistent_pids) > 0 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import iglob [as 別名]
def get_vf_num_by_pci_address(pci_addr):
    """Get the VF number based on a VF's pci address

    A VF is associated with an VF number, which ip link command uses to
    configure it. This number can be obtained from the PCI device filesystem.
    """
    VIRTFN_RE = re.compile(r"virtfn(\d+)")
    virtfns_path = "/sys/bus/pci/devices/%s/physfn/virtfn*" % (pci_addr)
    vf_num = None
    try:
        for vf_path in glob.iglob(virtfns_path):
            if re.search(pci_addr, os.readlink(vf_path)):
                t = VIRTFN_RE.search(vf_path)
                vf_num = t.group(1)
                break
    except Exception:
        pass
    if vf_num is None:
        raise exception.PciDeviceNotFoundById(id=pci_addr)
    return vf_num 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import iglob [as 別名]
def load_plugin(self, _, rtp: str):
        self.update_rtp(rtp)

        for d in rtp.split(','):
            for vs in glob.iglob(path.join(d, 'ncm2-plugin/*.vim')):
                if vs in self._loaded_plugins:
                    continue
                self._loaded_plugins[vs] = True
                logger.info('send vimscript plugin %s', vs)
                self.notify('ncm2#_load_vimscript', vs)

            for py in glob.iglob(path.join(d, 'ncm2-plugin/*.py')):
                if py in self._loaded_plugins:
                    continue
                self._loaded_plugins[py] = True
                logger.info('send python plugin %s', py)
                # async_call to get multiple exceptions properly printed
                self.nvim.async_call(partial(self.load_python, _, py))

            dts = glob.glob(path.join(d, 'pythonx/ncm2_subscope_detector/*.py')) + \
                glob.glob(path.join(d, 'python3/ncm2_subscope_detector/*.py'))
            self.load_subscope_detectors(dts)

        self.notify('ncm2#_au_plugin') 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import iglob [as 別名]
def __init__(self, path, field, subsample=None, **kwargs):
        fields = [(x, field) for x in self.fields]
        examples = []
        labels = {'neg': 'negative', 'pos': 'positive'}
        question = 'Is this review negative or positive?'

        cache_name = os.path.join(os.path.dirname(path), '.cache', os.path.basename(path), str(subsample))
        if os.path.exists(cache_name):
            print(f'Loading cached data from {cache_name}')
            examples = torch.load(cache_name)
        else:
            for label in ['pos', 'neg']:
                for fname in glob.iglob(os.path.join(path, label, '*.txt')):
                    with open(fname, 'r') as f:
                        context = f.readline()
                    answer = labels[label]
                    context_question = get_context_question(context, question) 
                    examples.append(data.Example.fromlist([context, question, answer, CONTEXT_SPECIAL, QUESTION_SPECIAL, context_question], fields))
                    if subsample is not None and len(examples) > subsample:
                        break
            os.makedirs(os.path.dirname(cache_name), exist_ok=True)
            print(f'Caching data to {cache_name}')
            torch.save(examples, cache_name)
        super(imdb.IMDb, self).__init__(examples, fields, **kwargs) 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import iglob [as 別名]
def __init__(self, path, text_field, label_field, **kwargs):
        """Create an IMDB dataset instance given a path and fields.

        Arguments:
            path: Path to the dataset's highest level directory
            text_field: The field that will be used for text data.
            label_field: The field that will be used for label data.
            Remaining keyword arguments: Passed to the constructor of
                data.Dataset.
        """
        fields = [('text', text_field), ('label', label_field)]
        examples = []

        for label in ['pos', 'neg']:
            for fname in glob.iglob(os.path.join(path, label, '*.txt')):
                with open(fname, 'r') as f:
                    text = f.readline()
                examples.append(data.Example.fromlist([text, label], fields))

        super(IMDb, self).__init__(examples, fields, **kwargs) 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import iglob [as 別名]
def clean(path):
        for f_xml in glob.iglob(os.path.join(path, '*.xml')):
            print(f_xml)
            f_txt = os.path.splitext(f_xml)[0]
            with io.open(f_txt, mode='w', encoding='utf-8') as fd_txt:
                root = ET.parse(f_xml).getroot()[0]
                for doc in root.findall('doc'):
                    for e in doc.findall('seg'):
                        fd_txt.write(e.text.strip() + '\n')

        xml_tags = ['<url', '<keywords', '<talkid', '<description',
                    '<reviewer', '<translator', '<title', '<speaker']
        for f_orig in glob.iglob(os.path.join(path, 'train.tags*')):
            print(f_orig)
            f_txt = f_orig.replace('.tags', '')
            with io.open(f_txt, mode='w', encoding='utf-8') as fd_txt, \
                    io.open(f_orig, mode='r', encoding='utf-8') as fd_orig:
                for l in fd_orig:
                    if not any(tag in l for tag in xml_tags):
                        fd_txt.write(l.strip() + '\n') 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import iglob [as 別名]
def __init__(self, in_dir, transform):
        super(ISSTestDataset, self).__init__()
        self.in_dir = in_dir
        self.transform = transform

        # Find all images
        self._images = []
        for img_path in chain(
                *(glob.iglob(path.join(self.in_dir, '**', ext), recursive=True) for ext in ISSTestDataset._EXTENSIONS)):
            _, name_with_ext = path.split(img_path)
            idx, _ = path.splitext(name_with_ext)

            with Image.open(img_path) as img_raw:
                size = (img_raw.size[1], img_raw.size[0])

            self._images.append({
                "idx": idx,
                "path": img_path,
                "size": size,
            }) 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import iglob [as 別名]
def read_all(pattern='data/lightbulb-*.csv'):
    """Read all of the CSVs in a directory matching the filename pattern
    as TimeSeries.

    """
    result = []
    for filename in glob.iglob(pattern):
        print('reading', filename, file=sys.stderr)
        ts = traces.TimeSeries.from_csv(
            filename,
            time_column=0,
            time_transform=parse_iso_datetime,
            value_column=1,
            value_transform=int,
            default=0,
        )
        ts.compact()
        result.append(ts)
    return result 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import iglob [as 別名]
def _migrate_get_earliest_version():
    versions_glob = os.path.join(MIGRATE_REPO, 'versions', '???_*.py')

    versions = []
    for path in glob.iglob(versions_glob):
        filename = os.path.basename(path)
        prefix = filename.split('_', 1)[0]
        try:
            version = int(prefix)
        except ValueError:
            pass
        versions.append(version)

    versions.sort()
    return versions[0]


### Git 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import iglob [as 別名]
def _get_matching_files(self, path, regex, start, end,):
        """Yield files that matches the search conditions.

        Args:
            path: Path to the directory that contains the files that should be
                checked.
            regex: A regular expression that should match the filename.
            start: Datetime that defines the start of a time interval.
            end: Datetime that defines the end of a time interval. The time
                coverage of the file should overlap with this interval.

        Yields:
            A FileInfo object with the file path and time coverage
        """

        for filename in glob.iglob(os.path.join(path, "*")):
            if regex.match(filename):
                file_info = self.get_info(filename)

                # Test whether the file is overlapping the interval between
                # start and end date.
                if IntervalTree.interval_overlaps(
                        file_info.times, (start, end))\
                        and not self.is_excluded(file_info):
                    yield file_info 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import iglob [as 別名]
def convert(installers, dest_dir, verbose):
    require_pkgresources('wheel convert')

    # Only support wheel convert if pkg_resources is present
    from ..wininst2wheel import bdist_wininst2wheel
    from ..egg2wheel import egg2wheel

    for pat in installers:
        for installer in iglob(pat):
            if os.path.splitext(installer)[1] == '.egg':
                conv = egg2wheel
            else:
                conv = bdist_wininst2wheel
            if verbose:
                sys.stdout.write("{0}... ".format(installer))
                sys.stdout.flush()
            conv(installer, dest_dir)
            if verbose:
                sys.stdout.write("OK\n") 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import iglob [as 別名]
def distribution_cost(
    dcop_files: List[str], distribution_file, algo, target
):
    logger.debug(f"analyse file {dcop_files}")

    dcop = load_dcop_from_file(dcop_files)
    path_glob = os.path.abspath(os.path.expanduser(distribution_file))
    distribution_files = sorted(glob.iglob(path_glob))
    for distribution_file in distribution_files:

        try:
            cost, comm, hosting = single_distrib_costs(
                dcop, distribution_file, algo
            )

            csv_writer = csv.writer(target)
            csv_writer.writerow([dcop_files[0], distribution_file, cost, hosting, comm])
        except:
            pass
    return target 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import iglob [as 別名]
def input_files_glob(path_glob: str) -> List[str]:
    """
    Find files matching a glob expression.

    Parameters
    ----------
    path_glob: str
        unix style glob expression (e.g. '/home/user/foo/bar*.json')

    Returns
    -------

    """
    path_glob = os.path.abspath(os.path.expanduser(path_glob))
    logger.debug("Looking for files in %s", path_glob)
    return list(glob.iglob(path_glob)) 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import iglob [as 別名]
def main(args):
    assert args.valid_percent >= 0 and args.valid_percent <= 1.

    dir_path = os.path.realpath(args.root)
    search_path = os.path.join(dir_path, '**/*.' + args.ext)
    rand = random.Random(args.seed)

    with open(os.path.join(args.dest, 'train.tsv'), 'w') as train_f, open(
            os.path.join(args.dest, 'valid.tsv'), 'w') as valid_f:
        print(dir_path, file=train_f)
        print(dir_path, file=valid_f)

        for fname in glob.iglob(search_path, recursive=True):
            file_path = os.path.realpath(fname)

            if args.path_must_contain and args.path_must_contain not in file_path:
                continue

            frames = soundfile.info(fname).frames
            dest = train_f if rand.random() > args.valid_percent else valid_f
            print('{}\t{}'.format(os.path.relpath(file_path, dir_path), frames), file=dest) 

# 需要導入模塊: import glob [as 別名]
# 或者: from glob import iglob [as 別名]
def get_mq_yaml_configs():
    """MQ aucr yaml config file from each plugin."""
    mq_yaml_dict_config = {}
    tasks_mq_list = []
    reports_mq_list = []
    analysis_mq_list = []
    for filename in glob.iglob('aucr_app/plugins/**/mqtasks.yml', recursive=True):
        mq_tasks = YamlInfo(filename, "none", "none")
        run = mq_tasks.get()
        if "tasks" in run:
            tasks_mq_list.append(run["tasks"])
        if "reports" in run:
            reports_mq_list.append(run["reports"])
        if "analysis" in run:
            analysis_mq_list.append(run["analysis"])
    mq_yaml_dict_config["tasks"] = tasks_mq_list
    mq_yaml_dict_config["reports"] = reports_mq_list
    mq_yaml_dict_config["analysis"] = analysis_mq_list
    return mq_yaml_dict_config