type

 
x = ssym("x")
print type(x), x
 
#! Create a column matrix 

 
#! This assigns three variables a, b and c:
print type(a), a
print type(b), b
print type(c), c

    if vars is None:
        vars = {}
    if type(pattern) is ListType:       # 'variables' are ['varname']
        vars[pattern[0]] = data
        return 1, vars
    if type(pattern) is not TupleType:

    def usersAnswer(self, input):
        if type(input) is type(''): # is input a string?
            input = [input]  # convert to list
        self.user_input = input  # list of strings
 

    If it is a string then it is converted to a function reference.
    """
    if type(func) is type(''):
        if func in globals():
            func = globals()[func]

        # convert all flag options to 0 or 1
        if '_flag' in k:
            if type(d[k]) is types.StringType:
                if d[k].strip().lower()[0] in 'yt1': #Yes, True, 1
                    d[k] = 1

        return
    for k, v in d.items():
        if type(v) is FunctionType:
            newv = _make_constants(v, builtin_only, stoplist,  verbose)
            setattr(mc, k, newv)
        elif type(v) in (type, ClassType):

 
    """
    if type(builtin_only) == type(make_constants):
        raise ValueError("The bind_constants decorator must have arguments.")
    return lambda f: _make_constants(f, builtin_only, stoplist, verbose)

def sample(population, k):
    "Choose k unique random elements from a population sequence."
    if not ininstance(population, (list, tuple, str)):
        raise TypeError('Cannot handle type', type(population))
    n = len(population)

        return
    for k, v in d.items():
        if type(v) is FunctionType:
            newv = _make_constants(v, builtin_only, stoplist,  verbose)
            setattr(mc, k, newv)
        elif type(v) in (type, ClassType):

 
    """
    if type(builtin_only) == type(make_constants):
        raise ValueError("The bind_constants decorator must have arguments.")
    return lambda f: _make_constants(f, builtin_only, stoplist, verbose)

def sample(population, k):
    "Choose k unique random elements from a population sequence."
    if not ininstance(population, (list, tuple, str)):
        raise TypeError('Cannot handle type', type(population))
    n = len(population)

        """
        # Do a minimal input check first
        if (not type(destpair) in (list,tuple)) or (len(destpair) < 2) or (not isinstance(destpair[0], basestring)) or (type(destpair[1]) != int):
            raise GeneralProxyError((5, _generalerrors[5]))
        if self.__proxy[0] == PROXY_TYPE_SOCKS5:

                        s = self.cleanHtmlString(s)
                    if self.containsWords(s, ishtml):
                        if type(ofs) == type(""): # HDF
                            if seen_hdf.has_key(ofs):
                                if seen_hdf[ofs][0] != s:

            s_id = self.findString(s)
            for (fname, ofs, l) in locs:
                if type(ofs) == type(""): # ie, its HDF
                    location = "hdf:%s" % ofs
                else:

z_= x*y
z = z_+x 
print type(z), z
 
#! We need SXFuncion to manipulate the SX graph

q = f.eval([vertcat([w,y])])[0]
#! f.eval() returns a tuple with all outputs, we selected the first
print type(q), q
#! Note how q is now an SXMatrix
 
#! We can take a shortcut via substitute:
q = substitute(z,x,w)
print type(q), q

        bsc = getToolByName(self, 'bika_setup_catalog')
        ## convert value to objects
        if value and type(value) == str:
            value = [bsc(UID=value)[0].getObject(),]
        elif value and type(value) in (list, tuple) and type(value[0]) == str: