def Tliquidus(Tms=None, ws=None, xs=None, CASRNs=None, AvailableMethods=False,
              Method=None):  # pragma: no cover
    '''This function handles the retrival of a mixtures's liquidus point.

    This API is considered experimental, and is expected to be removed in a
    future release in favor of a more complete object-oriented interface.

    >>> Tliquidus(Tms=[250.0, 350.0], xs=[0.5, 0.5])
    350.0
    >>> Tliquidus(Tms=[250, 350], xs=[0.5, 0.5], Method='Simple')
    300.0
    >>> Tliquidus(Tms=[250, 350], xs=[0.5, 0.5], AvailableMethods=True)
    ['Maximum', 'Simple', 'None']
    '''
    def list_methods():
        methods = []
        if none_and_length_check([Tms]):
            methods.append('Maximum')
            methods.append('Simple')
        methods.append('None')
        return methods
    if AvailableMethods:
        return list_methods()
    if not Method:
        Method = list_methods()[0]
    # This is the calculate, given the method section
    if Method == 'Maximum':
        _Tliq = max(Tms)
    elif Method == 'Simple':
        _Tliq = mixing_simple(xs, Tms)
    elif Method == 'None':
        return None
    else:
        raise Exception('Failure in in function')
    return _Tliq
def Tliquidus(Tms=None, ws=None, xs=None, CASRNs=None, AvailableMethods=False,
              Method=None):  # pragma: no cover
    '''This function handles the retrival of a mixtures's liquidus point.

    This API is considered experimental, and is expected to be removed in a
    future release in favor of a more complete object-oriented interface.

    >>> Tliquidus(Tms=[250.0, 350.0], xs=[0.5, 0.5])
    350.0
    >>> Tliquidus(Tms=[250, 350], xs=[0.5, 0.5], Method='Simple')
    300.0
    >>> Tliquidus(Tms=[250, 350], xs=[0.5, 0.5], AvailableMethods=True)
    ['Maximum', 'Simple', 'None']
    '''
    def list_methods():
        methods = []
        if none_and_length_check([Tms]):
            methods.append('Maximum')
            methods.append('Simple')
        methods.append('None')
        return methods
    if AvailableMethods:
        return list_methods()
    if not Method:
        Method = list_methods()[0]
    # This is the calculate, given the method section
    if Method == 'Maximum':
        _Tliq = max(Tms)
    elif Method == 'Simple':
        _Tliq = mixing_simple(xs, Tms)
    elif Method == 'None':
        return None
    else:
        raise Exception('Failure in in function')
    return _Tliq
def Tliquidus ( Tms = None , ws = None , xs = None , CASRNs = None , AvailableMethods = False , Method = None ) : # pragma: no cover def list_methods ( ) : methods = [ ] if none_and_length_check ( [ Tms ] ) : methods . append ( 'Maximum' ) methods . append ( 'Simple' ) methods . append ( 'None' ) return methods if AvailableMethods : return list_methods ( ) if not Method : Method = list_methods ( ) [ 0 ] # This is the calculate, given the method section if Method == 'Maximum' : _Tliq = max ( Tms ) elif Method == 'Simple' : _Tliq = mixing_simple ( xs , Tms ) elif Method == 'None' : return None else : raise Exception ( 'Failure in in function' ) return _Tliq
This function handles the retrival of a mixtures's liquidus point.

    This API is considered experimental, and is expected to be removed in a
    future release in favor of a more complete object-oriented interface.

    >>> Tliquidus(Tms=[250.0, 350.0], xs=[0.5, 0.5])
    350.0
    >>> Tliquidus(Tms=[250, 350], xs=[0.5, 0.5], Method='Simple')
    300.0
    >>> Tliquidus(Tms=[250, 350], xs=[0.5, 0.5], AvailableMethods=True)
    ['Maximum', 'Simple', 'None']
This function handles the retrival of a mixtures s liquidus point .