Python types.IntType方法代碼示例

# 需要導入模塊: import types [as 別名]
# 或者: from types import IntType [as 別名]
def __getitem__(self, index):
	"""If index is a String, return the Word whose form is
	index.  If index is an integer n, return the Word
	indexed by the n'th Word in the Index file.
	
	>>> N['dog']
	dog(n.)
	>>> N[0]
	'hood(n.)
	"""
	if isinstance(index, StringType):
	    return self.getWord(index)
	elif isinstance(index, IntType):
	    line = self.indexFile[index]
	    return self.getWord(string.replace(line[:string.find(line, ' ')], '_', ' '), line)
	else:
	    raise TypeError, "%s is not a String or Int" % `index`
    
    #
    # Dictionary protocol
    #
    # a Dictionary's values are its words, keyed by their form
    # 

# 需要導入模塊: import types [as 別名]
# 或者: from types import IntType [as 別名]
def __getitem__(self, key):
        """Called to implement evaluation of self[key].

        >>> ip=IP('127.0.0.0/30')
        >>> for x in ip:
        ...  print hex(x.int())
        ...
        0x7F000000L
        0x7F000001L
        0x7F000002L
        0x7F000003L
        >>> hex(ip[2].int())
        '0x7F000002L'
        >>> hex(ip[-1].int())
        '0x7F000003L'
        """

        if not isinstance(key, types.IntType) and not isinstance(key, types.LongType):
            raise TypeError
        if abs(key) >= self.len():
            raise IndexError
        if key < 0:
            key = self.len() - abs(key)

        return self.ip + long(key) 

# 需要導入模塊: import types [as 別名]
# 或者: from types import IntType [as 別名]
def addTrace(self, proc):
        """
        Add a new tracer to this group the "proc" argument
        may be either an long() for a pid (which we will attach
        to) or an already attached (and broken) tracer object.
        """

        if (type(proc) == types.IntType or
            type(proc) == types.LongType):
            trace = getTrace()
            self.initTrace(trace)
            self.traces[proc] = trace
            try:
                trace.attach(proc)
            except:
                self.delTrace(proc)
                raise

        else: # Hopefully a tracer object... if not.. you're dumb.
            trace = proc
            self.initTrace(trace)
            self.traces[trace.getPid()] = trace

        return trace 

# 需要導入模塊: import types [as 別名]
# 或者: from types import IntType [as 別名]
def write(self,filename,*keys):
    if len(keys):
      map = []
      for key in keys:
        if type(key) == types.IntType: map.append(key-1)
        elif self.ptr.has_key(key): map.append(self.ptr[key])
        else:
          count = 0
          for i in range(self.nvec):
	    if self.names[i].find(key) == 0:
	      count += 1
	      index = i
          if count == 1:
            map.append(index)
          else:
            raise StandardError, "unique vector %s not found" % key
    else:
      map = range(self.nvec)

    f = open(filename,"w")
    for i in xrange(self.nlen):
      for j in xrange(len(map)):
        print >>f,self.data[i][map[j]],
      print >>f
    f.close() 

# 需要導入模塊: import types [as 別名]
# 或者: from types import IntType [as 別名]
def __init__(self, name, enumList):
        self.__doc__ = name
        lookup = { }
        reverseLookup = { }
        i = 0
        uniqueNames = [ ]
        uniqueValues = [ ]
        for x in enumList:
            if type(x) == types.TupleType:
                x, i = x
            if type(x) != types.StringType:
                raise EnumException, "enum name is not a string: " + x
            if type(i) != types.IntType:
                raise EnumException, "enum value is not an integer: " + i
            if x in uniqueNames:
                raise EnumException, "enum name is not unique: " + x
            if i in uniqueValues:
                raise EnumException, "enum value is not unique for " + x
            uniqueNames.append(x)
            uniqueValues.append(i)
            lookup[x] = i
            reverseLookup[i] = x
            i = i + 1
        self.lookup = lookup
        self.reverseLookup = reverseLookup 

# 需要導入模塊: import types [as 別名]
# 或者: from types import IntType [as 別名]
def to64(number):
    """Converts a number in the range of 0 to 63 into base 64 digit
    character in the range of '0'-'9', 'A'-'Z', 'a'-'z','-','_'.
    """

    if not (type(number) is types.LongType or type(number) is types.IntType):
        raise TypeError("You must pass a long or an int")

    if 0 <= number <= 9:            #00-09 translates to '0' - '9'
        return byte(number + 48)

    if 10 <= number <= 35:
        return byte(number + 55)     #10-35 translates to 'A' - 'Z'

    if 36 <= number <= 61:
        return byte(number + 61)     #36-61 translates to 'a' - 'z'

    if number == 62:                # 62   translates to '-' (minus)
        return byte(45)

    if number == 63:                # 63   translates to '_' (underscore)
        return byte(95)

    raise ValueError('Invalid Base64 value: %i' % number) 

# 需要導入模塊: import types [as 別名]
# 或者: from types import IntType [as 別名]
def from64(number):
    """Converts an ordinal character value in the range of
    0-9,A-Z,a-z,-,_ to a number in the range of 0-63.
    """

    if not (type(number) is types.LongType or type(number) is types.IntType):
        raise TypeError("You must pass a long or an int")

    if 48 <= number <= 57:         #ord('0') - ord('9') translates to 0-9
        return(number - 48)

    if 65 <= number <= 90:         #ord('A') - ord('Z') translates to 10-35
        return(number - 55)

    if 97 <= number <= 122:        #ord('a') - ord('z') translates to 36-61
        return(number - 61)

    if number == 45:               #ord('-') translates to 62
        return(62)

    if number == 95:               #ord('_') translates to 63
        return(63)

    raise ValueError('Invalid Base64 value: %i' % number) 

# 需要導入模塊: import types [as 別名]
# 或者: from types import IntType [as 別名]
def encrypt_int(message, ekey, n):
    """Encrypts a message using encryption key 'ekey', working modulo n"""

    if type(message) is types.IntType:
        message = long(message)

    if not type(message) is types.LongType:
        raise TypeError("You must pass a long or int")

    if message < 0 or message > n:
        raise OverflowError("The message is too long")

    #Note: Bit exponents start at zero (bit counts start at 1) this is correct
    safebit = bit_size(n) - 2                   #compute safe bit (MSB - 1)
    message += (1 << safebit)                   #add safebit to ensure folding

    return pow(message, ekey, n) 

# 需要導入模塊: import types [as 別名]
# 或者: from types import IntType [as 別名]
def validNatCheckReplyMsg(self, ncr_data):
        if not type(ncr_data) == ListType:
            raise RuntimeError, 'NatCheckMsgHandler: received data is not valid. It must be a list of parameters.'
            return False
        if not type(ncr_data[0]) == StringType:
            raise RuntimeError, 'NatCheckMsgHandler: received data is not valid. The first element in the list must be a string.'
            return False
        if not type(ncr_data[1]) == IntType:
            raise RuntimeError, 'NatCheckMsgHandler: received data is not valid. The second element in the list must be an integer.'
            return False
        if not type(ncr_data[2]) == IntType:
            raise RuntimeError, 'NatCheckMsgHandler: received data is not valid. The third element in the list must be an integer.'
            return False
        if not type(ncr_data[3]) == StringType:
            raise RuntimeError, 'NatCheckMsgHandler: received data is not valid. The forth element in the list must be a string.'
            return False
        if not type(ncr_data[4]) == IntType:
            raise RuntimeError, 'NatCheckMsgHandler: received data is not valid. The fifth element in the list must be an integer.'
            return False
        if not type(ncr_data[5]) == StringType:
            raise RuntimeError, 'NatCheckMsgHandler: received data is not valid. The sixth element in the list must be a string.'
            return False
        if not type(ncr_data[6]) == IntType:
            raise RuntimeError, 'NatCheckMsgHandler: received data is not valid. The seventh element in the list must be an integer.'
            return False 

# 需要導入模塊: import types [as 別名]
# 或者: from types import IntType [as 別名]
def set_dht_nodes(self, nodes):
        if self.readonly:
            raise OperationNotPossibleAtRuntimeException()
        if type(nodes) != ListType:
            raise ValueError('nodes not a list')
        else:
            for node in nodes:
                if type(node) != ListType and len(node) != 2:
                    raise ValueError('node in nodes not a 2-item list: ' + `node`)
                if type(node[0]) != StringType:
                    raise ValueError('host in node is not string:' + `node`)
                if type(node[1]) != IntType:
                    raise ValueError('port in node is not int:' + `node`)

        self.input['nodes'] = nodes
        self.metainfo_valid = False 

# 需要導入模塊: import types [as 別名]
# 或者: from types import IntType [as 別名]
def int2bytes(number):
    """Converts a number to a string of bytes
    
    >>> bytes2int(int2bytes(123456789))
    123456789
    """

    if not (type(number) is types.LongType or type(number) is types.IntType):
        raise TypeError("You must pass a long or an int")

    string = ""

    while number > 0:
        string = "%s%s" % (byte(number & 0xFF), string)
        number /= 256
    
    return string 

# 需要導入模塊: import types [as 別名]
# 或者: from types import IntType [as 別名]
def new_looper(a, arg=None):
    """Helper function for nest()
    determines what sort of looper to make given a's type"""
    if isinstance(a,types.TupleType):
        if len(a) == 2:
            return RangeLooper(a[0],a[1])
        elif len(a) == 3:
            return RangeLooper(a[0],a[1],a[2])
    elif isinstance(a, types.BooleanType):
        return BooleanLooper(a)
    elif isinstance(a,types.IntType) or isinstance(a, types.LongType):
        return RangeLooper(a)
    elif isinstance(a, types.StringType) or isinstance(a, types.ListType):
        return ListLooper(a)
    elif isinstance(a, Looper):
        return a
    elif isinstance(a, types.LambdaType):
        return CalcField(a, arg) 

# 需要導入模塊: import types [as 別名]
# 或者: from types import IntType [as 別名]
def test_old_type_object(self):
        self.parser.add_option("-s", type=types.StringType)
        self.assertEqual(self.parser.get_option("-s").type, "string")
        self.parser.add_option("-x", type=types.IntType)
        self.assertEqual(self.parser.get_option("-x").type, "int")


# Custom type for testing processing of default values. 

# 需要導入模塊: import types [as 別名]
# 或者: from types import IntType [as 別名]
def _Have(context, key, have, comment = None):
    """
    Store result of a test in context.havedict and context.headerfilename.
    "key" is a "HAVE_abc" name.  It is turned into all CAPITALS and non-
    alphanumerics are replaced by an underscore.
    The value of "have" can be:
    1      - Feature is defined, add "#define key".
    0      - Feature is not defined, add "/* #undef key */".
             Adding "undef" is what autoconf does.  Not useful for the
             compiler, but it shows that the test was done.
    number - Feature is defined to this number "#define key have".
             Doesn't work for 0 or 1, use a string then.
    string - Feature is defined to this string "#define key have".
             Give "have" as is should appear in the header file, include quotes
             when desired and escape special characters!
    """
    key_up = key.upper()
    key_up = re.sub('[^A-Z0-9_]', '_', key_up)
    context.havedict[key_up] = have
    if have == 1:
        line = "#define %s 1\n" % key_up
    elif have == 0:
        line = "/* #undef %s */\n" % key_up
    elif isinstance(have, IntType):
        line = "#define %s %d\n" % (key_up, have)
    else:
        line = "#define %s %s\n" % (key_up, str(have))
    
    if comment is not None:
        lines = "\n/* %s */\n" % comment + line
    else:
        lines = "\n" + line

    if context.headerfilename:
        f = open(context.headerfilename, "a")
        f.write(lines)
        f.close()
    elif hasattr(context,'config_h'):
        context.config_h = context.config_h + lines 

# 需要導入模塊: import types [as 別名]
# 或者: from types import IntType [as 別名]
def init_info(self):
        scalar_converter.init_info(self)
        self.type_name = 'int'
        self.check_func = 'PyInt_Check'
        self.c_type = 'int'
        self.return_type = 'int'
        self.to_c_return = "(int) PyInt_AsLong(py_obj)"
        self.matching_types = [types.IntType]