Python core.any方法代码示例

# 需要导入模块: from numpy import core [as 别名]
# 或者: from numpy.core import any [as 别名]
def gisnan(x):
    """like isnan, but always raise an error if type not supported instead of
    returning a TypeError object.

    Notes
    -----
    isnan and other ufunc sometimes return a NotImplementedType object instead
    of raising any exception. This function is a wrapper to make sure an
    exception is always raised.

    This should be removed once this problem is solved at the Ufunc level."""
    from numpy.core import isnan
    st = isnan(x)
    if isinstance(st, type(NotImplemented)):
        raise TypeError("isnan not supported for this type")
    return st 

# 需要导入模块: from numpy import core [as 别名]
# 或者: from numpy.core import any [as 别名]
def gisfinite(x):
    """like isfinite, but always raise an error if type not supported instead of
    returning a TypeError object.

    Notes
    -----
    isfinite and other ufunc sometimes return a NotImplementedType object instead
    of raising any exception. This function is a wrapper to make sure an
    exception is always raised.

    This should be removed once this problem is solved at the Ufunc level."""
    from numpy.core import isfinite, errstate
    with errstate(invalid='ignore'):
        st = isfinite(x)
        if isinstance(st, type(NotImplemented)):
            raise TypeError("isfinite not supported for this type")
    return st 

# 需要导入模块: from numpy import core [as 别名]
# 或者: from numpy.core import any [as 别名]
def gisinf(x):
    """like isinf, but always raise an error if type not supported instead of
    returning a TypeError object.

    Notes
    -----
    isinf and other ufunc sometimes return a NotImplementedType object instead
    of raising any exception. This function is a wrapper to make sure an
    exception is always raised.

    This should be removed once this problem is solved at the Ufunc level."""
    from numpy.core import isinf, errstate
    with errstate(invalid='ignore'):
        st = isinf(x)
        if isinstance(st, type(NotImplemented)):
            raise TypeError("isinf not supported for this type")
    return st 

# 需要导入模块: from numpy import core [as 别名]
# 或者: from numpy.core import any [as 别名]
def GetPerformanceAttributes(object, counter, instance=None,
                                 inum=-1, format=None, machine=None):
        # NOTE: Many counters require 2 samples to give accurate results,
        # including "% Processor Time" (as by definition, at any instant, a
        # thread's CPU usage is either 0 or 100).  To read counters like this,
        # you should copy this function, but keep the counter open, and call
        # CollectQueryData() each time you need to know.
        # See http://msdn.microsoft.com/library/en-us/dnperfmo/html/perfmonpt2.asp
        # My older explanation for this was that the "AddCounter" process forced
        # the CPU to 100%, but the above makes more sense :)
        import win32pdh
        if format is None:
            format = win32pdh.PDH_FMT_LONG
        path = win32pdh.MakeCounterPath( (machine, object, instance, None, inum, counter))
        hq = win32pdh.OpenQuery()
        try:
            hc = win32pdh.AddCounter(hq, path)
            try:
                win32pdh.CollectQueryData(hq)
                type, val = win32pdh.GetFormattedCounterValue(hc, format)
                return val
            finally:
                win32pdh.RemoveCounter(hc)
        finally:
            win32pdh.CloseQuery(hq) 

# 需要导入模块: from numpy import core [as 别名]
# 或者: from numpy.core import any [as 别名]
def GetPerformanceAttributes(object, counter, instance = None,
                                 inum=-1, format = None, machine=None):
        # NOTE: Many counters require 2 samples to give accurate results,
        # including "% Processor Time" (as by definition, at any instant, a
        # thread's CPU usage is either 0 or 100).  To read counters like this,
        # you should copy this function, but keep the counter open, and call
        # CollectQueryData() each time you need to know.
        # See http://msdn.microsoft.com/library/en-us/dnperfmo/html/perfmonpt2.asp
        # My older explanation for this was that the "AddCounter" process forced
        # the CPU to 100%, but the above makes more sense :)
        import win32pdh
        if format is None: format = win32pdh.PDH_FMT_LONG
        path = win32pdh.MakeCounterPath( (machine, object, instance, None, inum, counter) )
        hq = win32pdh.OpenQuery()
        try:
            hc = win32pdh.AddCounter(hq, path)
            try:
                win32pdh.CollectQueryData(hq)
                type, val = win32pdh.GetFormattedCounterValue(hc, format)
                return val
            finally:
                win32pdh.RemoveCounter(hc)
        finally:
            win32pdh.CloseQuery(hq) 

# 需要导入模块: from numpy import core [as 别名]
# 或者: from numpy.core import any [as 别名]
def assert_no_warnings(func, *args, **kw):
    """
    Fail if the given callable produces any warnings.

    Parameters
    ----------
    func : callable
        The callable to test.
    \\*args : Arguments
        Arguments passed to `func`.
    \\*\\*kwargs : Kwargs
        Keyword arguments passed to `func`.

    Returns
    -------
    The value returned by `func`.

    """
    with warnings.catch_warnings(record=True) as l:
        warnings.simplefilter('always')
        result = func(*args, **kw)
        if len(l) > 0:
            raise AssertionError("Got warnings when calling %s: %s"
                    % (func.__name__, l))
    return result