Python yaml.Loader方法代碼示例

# 需要導入模塊: import yaml [as 別名]
# 或者: from yaml import Loader [as 別名]
def load_yaml_file(filename, label='config file', loader=yaml.Loader):
    """Load a yaml config file.
    """
    try:
        with open(filename, "r") as file:
            res = yaml.load(file.read(), Loader=loader) or {}
            if not isinstance(res, dict):
                msg = f"Please ensure that {label} consists of key value pairs."
                raise VergeMLError(f"Invalid {label}: {filename}", msg)
            return res
    except yaml.YAMLError as err:
        if hasattr(err, 'problem_mark'):
            mark = getattr(err, 'problem_mark')
            problem = getattr(err, 'problem')
            message = f"Could not read {label} {filename}:"
            message += "\n" + display_err_in_file(filename, mark.line, mark.column, problem)
        elif hasattr(err, 'problem'):
            problem = getattr(err, 'problem')
            message = f"Could not read {label} {filename}: {problem}"
        else:
            message = f"Could not read {label} {filename}: YAML Error"

        suggestion = f"There is a syntax error in your {label} - please fix it and try again."

        raise VergeMLError(message, suggestion)

    except OSError as err:
        msg = "Please ensure the file exists and you have the required access privileges."
        raise VergeMLError(f"Could not open {label} {filename}: {err.strerror}", msg) 

# 需要導入模塊: import yaml [as 別名]
# 或者: from yaml import Loader [as 別名]
def yaml_load(source, loader=yaml.Loader):
    """
    Wrap PyYaml's loader so we can extend it to suit our needs.

    Load all strings as Unicode: http://stackoverflow.com/a/2967461/3609487.
    """

    def construct_yaml_str(self, node):
        """Override the default string handling function to always return Unicode objects."""
        return self.construct_scalar(node)

    class Loader(loader):
        """Define a custom loader to leave the global loader unaltered."""

    # Attach our Unicode constructor to our custom loader ensuring all strings
    # will be Unicode on translation.
    Loader.add_constructor('tag:yaml.org,2002:str', construct_yaml_str)

    return yaml.load(source, Loader) 

# 需要導入模塊: import yaml [as 別名]
# 或者: from yaml import Loader [as 別名]
def _download_results(config, _blob_client, out_path, count, ptrn=FOLD_FILE_PATTERN):

    pathlib.Path(config.BATCH_DIRECTORY).mkdir(parents=True, exist_ok=True)
    blob_names = [b.name for b in _blob_client.list_blobs(config.CONTAINER_NAME)]

    results = []
    for i in range(count):
        blob_name = ptrn.format(i)
        if not blob_name in blob_names:
            raise RuntimeError("incomplete blob set: missing blob {}".format(blob_name))
        out_path = os.path.join(config.BATCH_DIRECTORY, blob_name)
        with _blob_client.get_blob_to_stream(
            config.CONTAINER_NAME, blob_name, out_path
        ) as blob:
            results[i] = load(blob, Loader=Loader)
    return results 

# 需要導入模塊: import yaml [as 別名]
# 或者: from yaml import Loader [as 別名]
def get_config(infile):
    """
    read in the contents of the inputs yaml file
    """

    with open(infile, "r") as fp:
        config = load(fp, Loader=Loader)
    try:
        v_pen = tuple(config["v_pen"])
    except TypeError:
        v_pen = (config["v_pen"],)

    try:
        w_pen = tuple(config["w_pen"])
    except TypeError:
        w_pen = (config["w_pen"],)

    return v_pen, w_pen, config 

# 需要導入模塊: import yaml [as 別名]
# 或者: from yaml import Loader [as 別名]
def from_yaml(stream, cls=None, loader_cls=yaml.Loader,
              object_pairs_hook=OrderedDict, **extras):
    """
    Convert a YAML stream into a class via the OrderedLoader class.
    """

    class OrderedLoader(loader_cls):
        pass

    def construct_mapping(loader, node):
        loader.flatten_mapping(node)
        return object_pairs_hook(loader.construct_pairs(node))

    OrderedLoader.add_constructor(
        yaml.resolver.BaseResolver.DEFAULT_MAPPING_TAG,
        construct_mapping)

    yaml_dict = yaml.load(stream, OrderedLoader) or {}
    yaml_dict.update(extras)
    return cls(**yaml_dict) if cls else yaml_dict 

# 需要導入模塊: import yaml [as 別名]
# 或者: from yaml import Loader [as 別名]
def ordered_load(stream, Loader=yaml.Loader, object_pairs_hook=OrderedDict):
    """load mappings and ordered mappings

    loader to load mappings and ordered mappings into the Python 2.7+ OrderedDict type,
    instead of the vanilla dict and the list of pairs it currently uses.
    """

    class OrderedLoader(Loader):
        pass

    def construct_mapping(loader, node):
        loader.flatten_mapping(node)
        return object_pairs_hook(loader.construct_pairs(node))

    OrderedLoader.add_constructor(
        yaml.resolver.BaseResolver.DEFAULT_MAPPING_TAG, construct_mapping
    )

    return yaml.load(stream, OrderedLoader) 

# 需要導入模塊: import yaml [as 別名]
# 或者: from yaml import Loader [as 別名]
def load(self, content):
        """Loads Command Definitions from the given YAML content into
        into this Command Dictionary.  Content may be either a
        filename containing YAML content or a YAML string.

        Load has no effect if this Command Dictionary was already
        instantiated with a filename or YAML content.
        """
        if self.filename is None:
            if os.path.isfile(content):
                self.filename = content
                stream        = open(self.filename, 'rb')
            else:
                stream        = content

            cmds = yaml.load(stream, Loader=yaml.Loader)
            cmds = handle_includes(cmds)
            for cmd in cmds:
                self.add(cmd)

            if isinstance(stream, IOBase):
                stream.close() 

# 需要導入模塊: import yaml [as 別名]
# 或者: from yaml import Loader [as 別名]
def load(self, content):
        """Loads Limit Definitions from the given YAML content into this
        Telemetry Dictionary.  Content may be either a filename
        containing YAML content or a YAML string.

        Load has no effect if this Limits Dictionary was already
        instantiated with a filename or YAML content.
        """
        if self.filename is None:
            if os.path.isfile(content):
                self.filename = content
                stream        = open(self.filename, 'rb')
            else:
                stream        = content
            
            limits = yaml.load(stream, Loader=yaml.Loader)

            for lmt in limits:
                self.add(lmt)

            if isinstance(stream, IOBase):
                stream.close() 

# 需要導入模塊: import yaml [as 別名]
# 或者: from yaml import Loader [as 別名]
def load(self, content):
        if self.filename:
            log.warn('EVRDict: Skipping load() attempt after previous initialization')
            return

        if os.path.isfile(content):
            self.filename = content
            stream = open(self.filename, 'rb')
        else:
            stream = content

        try:
            evrs = yaml.load(stream, Loader=yaml.Loader)
        except IOError as e:
            msg = "Could not load EVR YAML '{}': '{}'".format(stream, str(e))
            log.error(msg)
            return

        for e in evrs:
            self.add(e) 

# 需要導入模塊: import yaml [as 別名]
# 或者: from yaml import Loader [as 別名]
def load(self, content):
        """Loads Packet Definitions from the given YAML content into this
        Telemetry Dictionary.  Content may be either a filename
        containing YAML content or a YAML string.

        Load has no effect if this Command Dictionary was already
        instantiated with a filename or YAML content.
        """
        if self.filename is None:
            if os.path.isfile(content):
                self.filename = content
                stream        = open(self.filename, 'rb')
            else:
                stream        = content

            pkts = yaml.load(stream, Loader=yaml.Loader)
            pkts = handle_includes(pkts)
            for pkt in pkts:
                self.add(pkt)

            if isinstance(stream, IOBase):
                stream.close() 

# 需要導入模塊: import yaml [as 別名]
# 或者: from yaml import Loader [as 別名]
def load(self, ymlfile=None):
        """Load and process the YAML file"""
        if ymlfile is not None:
            self.ymlfile = ymlfile

        try:
            # If yaml should be 'cleaned' of document references
            if self._clean:
                self.data = self.process(self.ymlfile)
            else:
                with open(self.ymlfile, 'rb') as stream:
                    for data in yaml.load_all(stream, Loader=yaml.Loader):
                        self.data.append(data)

            self.loaded = True
        except ScannerError as e:
            msg = "YAML formattting error - '" + self.ymlfile + ": '" + str(e) + "'"
            raise util.YAMLError(msg) 

# 需要導入模塊: import yaml [as 別名]
# 或者: from yaml import Loader [as 別名]
def read_yaml_env(fname):
    # type: (str) -> Dict[str, Any]
    """Parse YAML file with environment variable substitution.

    Parameters
    ----------
    fname : str
        yaml file name.

    Returns
    -------
    table : Dict[str, Any]
        the yaml file as a dictionary.
    """
    content = read_file(fname)
    # substitute environment variables
    content = string.Template(content).substitute(os.environ)
    return yaml.load(content, Loader=yaml.Loader) 

# 需要導入模塊: import yaml [as 別名]
# 或者: from yaml import Loader [as 別名]
def read_yaml(fname):
    """Read the given file using YAML.

    Parameters
    ----------
    fname : string
        the file name.

    Returns
    -------
    content : Any
        the object returned by YAML.
    """
    with open_file(fname, 'r') as f:
        content = yaml.load(f, Loader=yaml.Loader)

    return content 

# 需要導入模塊: import yaml [as 別名]
# 或者: from yaml import Loader [as 別名]
def load_yaml(config_file):
    """Load meta.yaml that is output when the model is converted.

    Args:
        config_file (str): Path of the configuration file.

    Returns:
        EasyDict: Dictionary object of loaded configuration file.

    Examples:
        >>> config = load_yaml("/path/of/meta.yaml")
    """
    with open(config_file) as config_file_stream:
        config = yaml.load(config_file_stream, Loader=yaml.Loader)
    # use only upper key.
    return EasyDict({k: v for k, v in config.items() if k.isupper()}) 

# 需要導入模塊: import yaml [as 別名]
# 或者: from yaml import Loader [as 別名]
def train(config_file, experiment_id=None, recreate=False, profile_step=-1):
    if not experiment_id:
        # Default model_name will be taken from config file: {model_name}.yml.
        model_name = os.path.splitext(os.path.basename(config_file))[0]
        experiment_id = '{}_{:%Y%m%d%H%M%S}'.format(model_name, datetime.now())

    run(config_file, experiment_id, recreate, profile_step)

    output_dir = os.environ.get('OUTPUT_DIR', 'saved')
    experiment_dir = os.path.join(output_dir, experiment_id)
    checkpoint = os.path.join(experiment_dir, 'checkpoints', 'checkpoint')

    if not tf.io.gfile.exists(checkpoint):
        raise Exception('Checkpoints are not created in {}'.format(experiment_dir))

    with tf.io.gfile.GFile(checkpoint) as stream:
        data = yaml.load(stream, Loader=yaml.Loader)
    checkpoint_name = os.path.basename(data['model_checkpoint_path'])

    return experiment_id, checkpoint_name