Python warnings.WarningMessage方法代碼示例

# 需要導入模塊: import warnings [as 別名]
# 或者: from warnings import WarningMessage [as 別名]
def __enter__(self, *args, **kwargs):
            rv = super(WarningTestMixin._AssertWarnsContext, self).__enter__(*args, **kwargs)

            if self._showwarning is not self._module.showwarning:
                super_showwarning = self._module.showwarning
            else:
                super_showwarning = None

            def showwarning(*args, **kwargs):
                if super_showwarning is not None:
                    super_showwarning(*args, **kwargs)

                self._warning_log.append(warnings.WarningMessage(*args, **kwargs))

            self._module.showwarning = showwarning
            return rv 

# 需要導入模塊: import warnings [as 別名]
# 或者: from warnings import WarningMessage [as 別名]
def _add_l1_l2_regularization(self, core_network):
        if self.l1_reg > 0 or self.l2_reg > 0:

            # weight norm should not be combined with l1 / l2 regularization
            if self.weight_normalization is True:
                warnings.WarningMessage("l1 / l2 regularization has no effect when weigh normalization is used")

            weight_vector = tf.concat(
                [tf.reshape(param, (-1,)) for param in core_network.get_params_internal() if '/W' in param.name],
                axis=0)
            if self.l2_reg > 0:
                self.l2_reg_loss = self.l2_reg * tf.reduce_sum(weight_vector ** 2)
                tf.losses.add_loss(self.l2_reg_loss, tf.GraphKeys.REGULARIZATION_LOSSES)
            if self.l1_reg > 0:
                self.l1_reg_loss = self.l1_reg * tf.reduce_sum(tf.abs(weight_vector))
                tf.losses.add_loss(self.l1_reg_loss, tf.GraphKeys.REGULARIZATION_LOSSES) 

# 需要導入模塊: import warnings [as 別名]
# 或者: from warnings import WarningMessage [as 別名]
def __enter__(self):
        clean_warning_registry()  # be safe and not propagate state + chaos
        warnings.simplefilter('always')
        if self._entered:
            raise RuntimeError("Cannot enter %r twice" % self)
        self._entered = True
        self._filters = self._module.filters
        self._module.filters = self._filters[:]
        self._showwarning = self._module.showwarning
        if self._record:
            self.log = []

            def showwarning(*args, **kwargs):
                self.log.append(warnings.WarningMessage(*args, **kwargs))
            self._module.showwarning = showwarning
            return self.log
        else:
            return None 

# 需要導入模塊: import warnings [as 別名]
# 或者: from warnings import WarningMessage [as 別名]
def warning_record_to_str(warning_message):
    """Convert a warnings.WarningMessage to a string."""
    warn_msg = warning_message.message
    msg = warnings.formatwarning(
        warn_msg,
        warning_message.category,
        warning_message.filename,
        warning_message.lineno,
        warning_message.line,
    )
    return msg 

# 需要導入模塊: import warnings [as 別名]
# 或者: from warnings import WarningMessage [as 別名]
def pytest_warning_captured(
    warning_message: "warnings.WarningMessage",
    when: "Literal['config', 'collect', 'runtest']",
    item: Optional["Item"],
    location: Optional[Tuple[str, int, str]],
) -> None:
    """(**Deprecated**) Process a warning captured by the internal pytest warnings plugin.

    .. deprecated:: 6.0

    This hook is considered deprecated and will be removed in a future pytest version.
    Use :func:`pytest_warning_recorded` instead.

    :param warnings.WarningMessage warning_message:
        The captured warning. This is the same object produced by :py:func:`warnings.catch_warnings`, and contains
        the same attributes as the parameters of :py:func:`warnings.showwarning`.

    :param str when:
        Indicates when the warning was captured. Possible values:

        * ``"config"``: during pytest configuration/initialization stage.
        * ``"collect"``: during test collection.
        * ``"runtest"``: during test execution.

    :param pytest.Item|None item:
        The item being executed if ``when`` is ``"runtest"``, otherwise ``None``.

    :param tuple location:
        When available, holds information about the execution context of the captured
        warning (filename, linenumber, function). ``function`` evaluates to <module>
        when the execution context is at the module level.
    """ 

# 需要導入模塊: import warnings [as 別名]
# 或者: from warnings import WarningMessage [as 別名]
def pytest_warning_recorded(
    warning_message: "warnings.WarningMessage",
    when: "Literal['config', 'collect', 'runtest']",
    nodeid: str,
    location: Optional[Tuple[str, int, str]],
) -> None:
    """
    Process a warning captured by the internal pytest warnings plugin.

    :param warnings.WarningMessage warning_message:
        The captured warning. This is the same object produced by :py:func:`warnings.catch_warnings`, and contains
        the same attributes as the parameters of :py:func:`warnings.showwarning`.

    :param str when:
        Indicates when the warning was captured. Possible values:

        * ``"config"``: during pytest configuration/initialization stage.
        * ``"collect"``: during test collection.
        * ``"runtest"``: during test execution.

    :param str nodeid: full id of the item

    :param tuple|None location:
        When available, holds information about the execution context of the captured
        warning (filename, linenumber, function). ``function`` evaluates to <module>
        when the execution context is at the module level.

    .. versionadded:: 6.0
    """


# -------------------------------------------------------------------------
# error handling and internal debugging hooks
# ------------------------------------------------------------------------- 

# 需要導入模塊: import warnings [as 別名]
# 或者: from warnings import WarningMessage [as 別名]
def pytest_warning_recorded(
        self, warning_message: warnings.WarningMessage, nodeid: str,
    ) -> None:
        from _pytest.warnings import warning_record_to_str

        fslocation = warning_message.filename, warning_message.lineno
        message = warning_record_to_str(warning_message)

        warning_report = WarningReport(
            fslocation=fslocation, message=message, nodeid=nodeid
        )
        self._add_stats("warnings", [warning_report]) 

# 需要導入模塊: import warnings [as 別名]
# 或者: from warnings import WarningMessage [as 別名]
def warning_record_to_str(warning_message: warnings.WarningMessage) -> str:
    """Convert a warnings.WarningMessage to a string."""
    warn_msg = warning_message.message
    msg = warnings.formatwarning(
        str(warn_msg),
        warning_message.category,
        warning_message.filename,
        warning_message.lineno,
        warning_message.line,
    )
    return msg 

# 需要導入模塊: import warnings [as 別名]
# 或者: from warnings import WarningMessage [as 別名]
def deprecated_call(  # noqa: F811
    func: Optional[Callable] = None, *args: Any, **kwargs: Any
) -> Union["WarningsRecorder", Any]:
    """Assert that code produces a ``DeprecationWarning`` or ``PendingDeprecationWarning``.

    This function can be used as a context manager::

        >>> import warnings
        >>> def api_call_v2():
        ...     warnings.warn('use v3 of this api', DeprecationWarning)
        ...     return 200

        >>> with deprecated_call():
        ...    assert api_call_v2() == 200

    It can also be used by passing a function and ``*args`` and ``**kwargs``,
    in which case it will ensure calling ``func(*args, **kwargs)`` produces one of
    the warnings types above. The return value is the return value of the function.

    In the context manager form you may use the keyword argument ``match`` to assert
    that the warning matches a text or regex.

    The context manager produces a list of :class:`warnings.WarningMessage` objects,
    one for each warning raised.
    """
    __tracebackhide__ = True
    if func is not None:
        args = (func,) + args
    return warns((DeprecationWarning, PendingDeprecationWarning), *args, **kwargs) 

# 需要導入模塊: import warnings [as 別名]
# 或者: from warnings import WarningMessage [as 別名]
def __init__(self) -> None:
        # Type ignored due to the way typeshed handles warnings.catch_warnings.
        super().__init__(record=True)  # type: ignore[call-arg] # noqa: F821
        self._entered = False
        self._list = []  # type: List[warnings.WarningMessage] 

# 需要導入模塊: import warnings [as 別名]
# 或者: from warnings import WarningMessage [as 別名]
def list(self) -> List["warnings.WarningMessage"]:
        """The list of recorded warnings."""
        return self._list 

# 需要導入模塊: import warnings [as 別名]
# 或者: from warnings import WarningMessage [as 別名]
def __getitem__(self, i: int) -> "warnings.WarningMessage":
        """Get a recorded warning by index."""
        return self._list[i] 

# 需要導入模塊: import warnings [as 別名]
# 或者: from warnings import WarningMessage [as 別名]
def __iter__(self) -> Iterator["warnings.WarningMessage"]:
        """Iterate through the recorded warnings."""
        return iter(self._list) 

# 需要導入模塊: import warnings [as 別名]
# 或者: from warnings import WarningMessage [as 別名]
def pop(self, cls: "Type[Warning]" = Warning) -> "warnings.WarningMessage":
        """Pop the first recorded warning, raise exception if not exists."""
        for i, w in enumerate(self._list):
            if issubclass(w.category, cls):
                return self._list.pop(i)
        __tracebackhide__ = True
        raise AssertionError("%r not found in warning list" % cls) 

# 需要導入模塊: import warnings [as 別名]
# 或者: from warnings import WarningMessage [as 別名]
def unserialize_warning_message(data):
    import warnings
    import importlib

    if data["message_module"]:
        mod = importlib.import_module(data["message_module"])
        cls = getattr(mod, data["message_class_name"])
        message = None
        if data["message_args"] is not None:
            try:
                message = cls(*data["message_args"])
            except TypeError:
                pass
        if message is None:
            # could not recreate the original warning instance;
            # create a generic Warning instance with the original
            # message at least
            message_text = "{mod}.{cls}: {msg}".format(
                mod=data["message_module"],
                cls=data["message_class_name"],
                msg=data["message_str"],
            )
            message = Warning(message_text)
    else:
        message = data["message_str"]

    if data["category_module"]:
        mod = importlib.import_module(data["category_module"])
        category = getattr(mod, data["category_class_name"])
    else:
        category = None

    kwargs = {"message": message, "category": category}
    # access private _WARNING_DETAILS because the attributes vary between Python versions
    for attr_name in warnings.WarningMessage._WARNING_DETAILS:
        if attr_name in ("message", "category"):
            continue
        kwargs[attr_name] = data[attr_name]

    return warnings.WarningMessage(**kwargs)