Python path.sep方法代碼示例

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import sep [as 別名]
def get(self, model_directory):
        """ Ensures required model is available at given location.

        :param model_directory: Expected model_directory to be available.
        :raise IOError: If model can not be retrieved.
        """
        # Expend model directory if needed.
        if not isabs(model_directory):
            model_directory = join(self.DEFAULT_MODEL_PATH, model_directory)
        # Download it if not exists.
        model_probe = join(model_directory, self.MODEL_PROBE_PATH)
        if not exists(model_probe):
            if not exists(model_directory):
                makedirs(model_directory)
                self.download(
                    model_directory.split(sep)[-1],
                    model_directory)
                self.writeProbe(model_directory)
        return model_directory 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import sep [as 別名]
def create_unique_log_dir(config_rel_paths, log_dir_root, line_breaking_chars_pat=r'[-]', restore_dir=None):
    """
    0117_1704 repr@soa3_med_8e*5_deePer_b50_noHM_C16 repr@v2_res_shallow RESTORE@path@to@restore@0115_1340
    :param config_rel_paths:
    :param log_dir_root:
    :param line_breaking_chars_pat:
    :return:
    """
    if any(':' in config_rel_path for config_rel_path in config_rel_paths):
        raise ValueError('":" not allowed in paths, got {}'.format(config_rel_paths))

    def prep_path(p):
        p = p.replace(path.sep, '@')
        return re.sub(line_breaking_chars_pat, '*', p)

    postfix_dir_name = ' '.join(map(prep_path, config_rel_paths))
    if restore_dir:
        restore_dir_root, restore_job_component = _split_log_dir(restore_dir)
        restore_dir_root = restore_dir_root.replace(path.sep, '@')
        restore_job_id = log_date_from_log_dir(restore_job_component)
        postfix_dir_name += ' {restore_prefix}{root}@{job_id}'.format(
                restore_prefix=_RESTORE_PREFIX, root=restore_dir_root, job_id=restore_job_id)
    return _mkdir_threadsafe_unique(log_dir_root, datetime.now(), postfix_dir_name) 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import sep [as 別名]
def _split_log_dir(log_dir):
    """
    given
        some/path/to/job/dir/0101_1818 ae_config pc_config/ckpts
    or
        some/path/to/job/dir/0101_1818 ae_config pc_config
    returns
        tuple some/path/to/job/dir, 0101_1818 ae_config pc_config
    """
    log_dir_root = []
    job_component = None

    for comp in log_dir.split(path.sep):
        try:
            log_date_from_log_dir(comp)
            job_component = comp
            break  # this component is an actual log dir. stop and return components
        except ValueError:
            log_dir_root.append(comp)

    assert job_component is not None, 'Invalid log_dir: {}'.format(log_dir)
    return path.sep.join(log_dir_root), job_component 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import sep [as 別名]
def config_paths_from_log_dir(log_dir, base_dirs):
    log_dir = path.basename(log_dir.strip(path.sep))

    # log_dir == {now} {netconfig} {probconfig} [RESTORE@some_dir@XXXX_YYYY], get [netconfig, probconfig]
    comps = log_dir.split(' ')
    assert is_log_date(comps[0]), 'Invalid log_dir: {}'.format(log_dir)
    comps = [c for c in comps[1:] if _RESTORE_PREFIX not in c]
    assert len(comps) <= len(base_dirs), 'Expected as many config components as base dirs: {}, {}'.format(
            comps, base_dirs)

    def get_real_path(base, prepped_p):
        p_glob = prepped_p.replace('@', path.sep)
        p_glob = path.join(base, p_glob)  # e.g., ae_configs/p_glob
        glob_matches = glob.glob(p_glob)
        # We always only replace one character with *, so filter for those.
        # I.e. lr1e-5 will become lr1e*5, which will match lr1e-5 but also lr1e-4.5
        glob_matches_of_same_len = [g for g in glob_matches if len(g) == len(p_glob)]
        if len(glob_matches_of_same_len) != 1:
            raise ValueError('Cannot find config on disk: {} (matches: {})'.format(p_glob, glob_matches_of_same_len))
        return glob_matches_of_same_len[0]

    return tuple(get_real_path(base_dir, comp) for base_dir, comp in zip(base_dirs, comps)) 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import sep [as 別名]
def api_get_spec(context, method_list):
    '''Generates and Returns the spec file data
    :param context: Dictionary with app, session, version and api fields
    :type: ```dict```
    :param method_list: List of API methods to call
    :type: ```list```
    :return: generated spec file
    :rtype: ```basestring```
    '''
    _generate_documentation(context, method_list)
    with open(tempfile.gettempdir() + op.sep + 'spec.yaml') as stream:
        try:
            spec_file = yaml.safe_load(stream)
        except yaml.YAMLError as ex:
            raise Exception("Please try again. Exception: {}".format(ex))
        return json.dumps(spec_file) 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import sep [as 別名]
def write_temp(self):
        '''
        Stores changes to the spec in a temp file.
        '''
        spec = {
            "swagger": self.api.__getattribute__('swagger'),
            "info": self.api.__getattribute__('info'),
            "host": self.api.__getattribute__('host'),
            "schemes": self.api.__getattribute__('schemes'),
            "consumes": self.api.__getattribute__('consumes'),
            "produces": self.api.__getattribute__('produces'),
            "paths": self.api.__getattribute__('paths'),
            "definitions": self.api.__getattribute__('definitions')
        }

        stream = file((tempfile.gettempdir() + op.sep + 'temp.yaml'), 'w')
        for x in self.order:
            yaml.dump({x: spec[x]}, stream, default_flow_style=False) 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import sep [as 別名]
def update_spec(self):
        '''
        Updates the specification from the temp file.
        '''
        try:
            os.rename(
                tempfile.gettempdir() +
                op.sep +
                'temp.yaml',
                tempfile.gettempdir() +
                op.sep +
                'spec.yaml')
        except Exception as e:
            raise Exception(
                "Spec file not found, please try again."
                " Exception: {}".format(e)) 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import sep [as 別名]
def probably_a_local_import(self, imp_name):
        """
        Like the corresponding method in the base class, but this also
        supports Cython modules.
        """
        if imp_name.startswith(u"."):
            # Relative imports are certainly not local imports.
            return False
        imp_name = imp_name.split(u".", 1)[0]
        base_path = dirname(self.filename)
        base_path = join(base_path, imp_name)
        # If there is no __init__.py next to the file its not in a package
        # so can't be a relative import.
        if not exists(join(dirname(base_path), "__init__.py")):
            return False
        for ext in [".py", sep, ".pyc", ".so", ".sl", ".pyd", ".pyx"]:
            if exists(base_path + ext):
                return True
        return False 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import sep [as 別名]
def test_iterator_persistence(self):
        self._create_connector("odbc_iterator.json")
        iterator_file_name = self.connector._OdbcConnector__iterator_file_name

        device_id = 1  # For eval
        data = {"deviceName": eval(self.config["mapping"]["device"]["name"]),
                "deviceType": self.connector._OdbcConnector__connector_type,
                "attributes": [],
                "telemetry": [{"value": 0}]}

        self.gateway.send_to_storage.assert_has_calls([call(self.connector.get_name(), data)])
        self.connector.close()
        sleep(1)

        self.assertTrue(Path(self.CONFIG_PATH + "odbc" + path.sep + iterator_file_name).exists())

        self.connector = OdbcConnector(self.gateway, self.config, "odbc")
        self.connector.open()
        sleep(1)

        data["telemetry"] = [{"value": 5}]
        self.gateway.send_to_storage.assert_has_calls([call(self.connector.get_name(), data)]) 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import sep [as 別名]
def getSubdirs(path, baseNamesOnly=True, excludePythonModulesDirs=True):
    """Provides a list of sub directories for the given path"""
    subdirs = []
    try:
        path = realpath(path) + sep
        for item in os.listdir(path):
            candidate = path + item
            if isdir(candidate):
                if excludePythonModulesDirs:
                    modFile = candidate + sep + "__init__.py"
                    if exists(modFile):
                        continue
                if baseNamesOnly:
                    subdirs.append(item)
                else:
                    subdirs.append(candidate)
    except:
        pass
    return subdirs 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import sep [as 別名]
def __matchInDir(path, filters, startTime):
        """Provides the 'match' and 'too long' statuses"""
        matched = False
        tooLong = False
        for item in listdir(path):
            if time.time() - startTime > 0.1:
                tooLong = True
                return matched, tooLong
            if isdir(path + item):
                dname = path + item + sep
                matched, tooLong = FindInFilesDialog.__matchInDir(dname,
                                                                  filters,
                                                                  startTime)
                if matched or tooLong:
                    return matched, tooLong
                continue
            if FindInFilesDialog.__filterMatch(filters, path + item):
                matched = True
                return matched, tooLong
        return matched, tooLong 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import sep [as 別名]
def __projectFiles(self, filters):
        """Project files list respecting the mask"""
        mainWindow = GlobalData().mainWindow
        files = []
        for fname in GlobalData().project.filesList:
            if fname.endswith(sep):
                continue
            if self.__filterMatch(filters, fname):
                widget = mainWindow.getWidgetForFileName(fname)
                if widget is None:
                    # Do not check for broken symlinks
                    if isFileSearchable(fname, False):
                        files.append(ItemToSearchIn(fname, ""))
                else:
                    if widget.getType() in \
                                [MainWindowTabWidgetBase.PlainTextEditor]:
                        files.append(ItemToSearchIn(fname,
                                                    widget.getUUID()))
            QApplication.processEvents()
            if self.__cancelRequest:
                raise Exception("Cancel request")
        return files 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import sep [as 別名]
def process_filenames(self, filenames):
        data_list = []
        categories_ids = [self.category_ids[cat] for cat in self.categories]
        cat_idx = {categories_ids[i]: i for i in range(len(categories_ids))}

        for name in filenames:
            cat = name.split(osp.sep)[0]
            if cat not in categories_ids:
                continue

            data = read_txt_array(osp.join(self.raw_dir, name))
            pos = data[:, :3]
            x = data[:, 3:6]
            y = data[:, -1].type(torch.long)
            data = Data(pos=pos, x=x, y=y, category=cat_idx[cat])
            if self.pre_filter is not None and not self.pre_filter(data):
                continue
            if self.pre_transform is not None:
                data = self.pre_transform(data)
            data_list.append(data)

        return data_list 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import sep [as 別名]
def test_orthogonalize_dense(collection):
    transform.Factor(collection, 'trial_type', sep=sep)

    sampling_rate = collection.sampling_rate
    # Store pre-orth variables needed for tests
    pg_pre = collection['trial_type/parametric gain'].to_dense(sampling_rate)
    rt = collection['RT'].to_dense(sampling_rate)

    # Orthogonalize and store result
    transform.Orthogonalize(collection, variables='trial_type/parametric gain',
                            other='RT', dense=True, groupby=['run', 'subject'])
    pg_post = collection['trial_type/parametric gain']

    # Verify that the to_dense() calls result in identical indexing
    ent_cols = ['subject', 'run']
    assert pg_pre.to_df()[ent_cols].equals(rt.to_df()[ent_cols])
    assert pg_post.to_df()[ent_cols].equals(rt.to_df()[ent_cols])

    vals = np.c_[rt.values, pg_pre.values, pg_post.values]
    df = pd.DataFrame(vals, columns=['rt', 'pre', 'post'])
    groupby = rt.get_grouper(['run', 'subject'])
    pre_r = df.groupby(groupby).apply(lambda x: x.corr().iloc[0, 1])
    post_r = df.groupby(groupby).apply(lambda x: x.corr().iloc[0, 2])
    assert (pre_r > 0.2).any()
    assert (post_r < 0.0001).all() 

# 需要導入模塊: from os import path [as 別名]
# 或者: from os.path import sep [as 別名]
def calc_path_and_create_folders(folder, import_path, create_folder=True):
    """
    calculate the path and create the needed folders

    >>> calc_path_and_create_folders(folder='/somewhere/', import_path='foo.bar.BarClass', create_folder=False)
    '/somewhere/foo/bar/BarClass'

    :param import_path:  'foo.bar.BarClass'
    :param folder: base folder where we wanna place 'foo.bar.BarClass' in.
     """
    file_path = abspath(path_join(folder, import_path[:import_path.rfind(".")].replace(".", folder_seperator) + ".py"))
    if create_folder:
        mkdir_p(dirname(file_path))
    # end if
    return file_path
# end def