Python Tools.irange方法代码示例

# 需要导入模块: from mx import Tools [as 别名]
# 或者: from mx.Tools import irange [as 别名]
    def feed_list(self,table):

        """ Feeds a table (list of rows) which is converted
            to CSV. 

            No more than len(columns) items are written for each
            row. All rows are filled up with "" entries to have an
            equal number of items. None entries are converted to empty
            strings, all other objects are stringified.

        """
        columns = self.columns
        if columns:
            rowlen = len(columns)
        else:
            # Calculate the max. number of columns in the table
            rowlen = max(map(len,table))

        # Prepare an empty table
        t = [None] * len(table)
        _quote = self._quote

        # Fill in data
        for i,row in Tools.irange(table):
            row = _quote(row[:rowlen])
            if len(row) < rowlen:
                row[len(row):] = ['""'] * (rowlen - len(row))
            t[i] = self.separator.join(row)

        # Add final CRLF and add as CSV text
        t.append('')
        self.text = self.text + self.lineend.join(t)

# 需要导入模块: from mx import Tools [as 别名]
# 或者: from mx.Tools import irange [as 别名]
    def _unquote(self,line):

        """ Unquote a CSV style quoted line of text.

            Internal method. Do not use directly.
        
        """
        for i,text in Tools.irange(line):
            if text[:1] == '"' and text[-1:] == '"':
                text = text[1:-1]
            line[i] = text.replace('""','"')
        return line

# 需要导入模块: from mx import Tools [as 别名]
# 或者: from mx.Tools import irange [as 别名]
    def _quote(self, line,

               str=str):

        """ CSV style quote the given line of text.
        """
        nline = ['""'] * len(line)
        for i,item in Tools.irange(line):
            if item is not None:
                text = str(item)
            else:
                text = ''
            nline[i] = '"%s"' % text.replace('"','""')
        return nline

# 需要导入模块: from mx import Tools [as 别名]
# 或者: from mx.Tools import irange [as 别名]
    def dictionary(self):

        """ Return the current data as dictionary of lists of strings,
            with one entry for each column.

            .columns must have been set using .set_columns() or by
            processing a given CSV header.

        """
        table = {}
        lines = self.lines
        keys = self.columns
        if keys is None:
            raise Error,'no columns set'
        rows = len(lines)
        for k in keys:
            table[k] = [None] * rows
        for i, key in Tools.irange(keys):
            column = table[key]
            for j, row in Tools.irange(lines):
                if len(row) > i:
                    column[j] = row[i]
        return table

# 需要导入模块: from mx import Tools [as 别名]
# 或者: from mx.Tools import irange [as 别名]
def rpcdecode(url,prefix='',decode=1,

              splitat=TextTools.splitat,charsplit=TextTools.charsplit,
              len=len,tuple=tuple,urldecode=urldecode):

    """ Decode a RPC encoded function/method call.

        Returns a tuple (name,args,kws) where args is a tuple of
        string arguments and kws is a dictionary containing the given
        keyword parameters or None. All parameters are returned as
        strings; it is up to the caller to decode them into
        e.g. integers, etc.

        If prefix is given and found it is removed from the name prior
        to returning it. decode can be set to false to prevent the url
        from being urldecoded prior to processing.

        The decode function also supports the syntax 'method' instead
        of 'method()' for calls without arguments.

    """
    if decode:
        url = urldecode(url)
    # Decode the method: method[(arg0,arg1,...,kw0=val0,kw1=val1,...)]
    name,rawargs = splitat(url,'(')
    if rawargs:
        # Cut out the pure argument part, ignoring any character after 
        # the final ')'
        rawargs,rest = splitat(rawargs,')',-1)
        # Argument list: split at ','
        args = charsplit(rawargs,',')
        if '=' in rawargs:
            kws = {}
            for i,arg in Tools.reverse(Tools.irange(args)):
                if '=' in arg:
                    k,v = splitat(arg,'=')
                    kws[k] = v
                    del args[i]
        else:
            kws = None
        args = tuple(args)
    else:
        args = ()
        kws = None
    if prefix:
        if name[:len(prefix)] == prefix:
            name = name[len(prefix):]
        return name,args,kws
    else:
        return name,args,kws

# 需要导入模块: from mx import Tools [as 别名]
# 或者: from mx.Tools import irange [as 别名]
    def _quote(self, line,

               str=str):

        """ CSV style quote the given line of text.
        """
        nline = ['""'] * len(line)
        for i,item in Tools.irange(line):
            if item is None:
                text = ''
            elif isinstance(item, unicode):
                text = item.encode(self.encoding)
            else:
                text = str(item)
            nline[i] = '"%s"' % text.replace('"','""')
        return nline

# 需要导入模块: from mx import Tools [as 别名]
# 或者: from mx.Tools import irange [as 别名]
    def filter_header(self, header,

                      lower=TextTools.lower):

        """ Filter the given header line.

            The base class converts the column names to all lowercase
            and removes any whitespace included in the header.

            This method is only called in case the header was read
            from the data provided to the object.

        """
        l = [''] * len(header)
        for i,column in Tools.irange(header):
            l[i] = ''.join(lower(column).split())
        return l

# 需要导入模块: from mx import Tools [as 别名]
# 或者: from mx.Tools import irange [as 别名]
    def list(self):

        """ Return the current data as list of lists, each having
            self.width string entries.

            Missing entries are set to None.

        """
        width = self.width
        lines = self.lines
        table = [None] * len(lines)
        for i, row in Tools.irange(lines):
            row = row[:]
            if len(row) < width:
                row[len(row):] = [None]*(width-len(row))
            table[i] = row
        return table

# 需要导入模块: from mx import Tools [as 别名]
# 或者: from mx.Tools import irange [as 别名]
    def __str__(self):

        lines = self.list()
        desc = self.description()
        width = 0
        output = []
        write = output.append
        for col in desc:
            write('%-*s|' % (col[1],col[0]))
        write('\n')
        for col in desc:
            write('=' * col[1] + '+')
        write('\n')
        for line in lines:
            for i,item in Tools.irange(line):
                write('%-*s|' % (desc[i][1],item))
            write('\n')
        return ''.join(output)

# 需要导入模块: from mx import Tools [as 别名]
# 或者: from mx.Tools import irange [as 别名]
    def objects(self,constructor):

        """ Builds a list of objects by calling the given constructor
            with keywords defined by mapping column names to values for
            each input line.

            .columns must have been set using .set_columns() or by
            processing a given CSV header.

        """
        lines = self.lines
        keys = self.columns
        if keys is None:
            raise Error,'no columns set'
        objs = [None] * len(lines)
        for i,line in Tools.irange(lines):
            kws = dict(Tools.tuples(keys, line))
            objs[i] = apply(constructor,(),kws)
        return objs

# 需要导入模块: from mx import Tools [as 别名]
# 或者: from mx.Tools import irange [as 别名]
    def feed_dict(self,table,rows=None):

        """ Feeds a table (dict of lists) which is converted
            to CSV. 

            Only the keys set as column names are used to form the CSV
            data.

            All lists in the dictionary must have equal length or at
            least rows number of entries, if rows is given. None
            entries are converted to empty strings, all other objects
            are stringified.

        """
        columns = self.columns
        if not columns:
            raise Error,'no output columns set'
        rowlen = len(columns)

        # Create an emtpy table
        if not rows:
            rows = 0
            for column in columns:
                nrows = len(table[column])
                if nrows > rows:
                    rows = nrows
        rowindices = Tools.trange(rows)
        t = [None] * rows
        for i in rowindices:
            t[i] = [None] * rowlen
            
        # Fill the table
        for j,k in Tools.irange(columns):
            for i in rowindices:
                t[i][j] = table[k][i]
                
        # Quote and join lines
        t = [self.separator.join(self._quote(x)) for x in t]

        # Add final CRLF and store CSV text
        t.append('')
        self.text = self.text + self.lineend.join(t)

# 需要导入模块: from mx import Tools [as 别名]
# 或者: from mx.Tools import irange [as 别名]
    def feed_objects(self,objects,

                     getattr=getattr):

        """ Feeds a sequence of objects which is converted to CSV. 

            For each object the set column names are interpreted as
            object attributes and used as basis for the CSV data.

            None values are converted to empty strings, all other
            attributes are added stringified.

        """
        columns = self.columns
        if not columns:
            raise Error,'no output columns set'
        rowlen = len(columns)

        # Create an emtpy table
        rows = len(objects)
        rowindices = Tools.trange(rows)
        t = [None] * rows
        for i in rowindices:
            t[i] = [None] * rowlen
            
        # Fill the table
        icols = Tools.irange(columns)
        for i in rowindices:
            obj = objects[i]
            for j,name in icols:
                t[i][j] = str(getattr(obj, name))
                
        # Quote and join lines
        t = [self.separator.join(self._quote(x)) for x in t]

        # Add final CRLF and store CSV text
        t.append('')
        self.text = self.text + self.lineend.join(t)

# 需要导入模块: from mx import Tools [as 别名]
# 或者: from mx.Tools import irange [as 别名]
    def description(self, header=1):

        """ Return a list of tuples (column name, max length) found in the
            data. 

            If header is true (default), the column names themselves
            are included in the calculation.

        """
        lines = self.lines
        columns = self.columns
        width = len(columns)
        if header:
            lengths = []
            for column in columns:
                lengths.append(len(column))
        else:
            lengths = [0] * width
        for row in self.lines:
            for i,o in Tools.irange(row[:width]):
                if len(o) > lengths[i]:
                    lengths[i] = len(o)
        return map(None,columns,lengths)

# 需要导入模块: from mx import Tools [as 别名]
# 或者: from mx.Tools import irange [as 别名]
    def cut(self,

            NOM=NOM,DENOM=DENOM):

        """ Force a cut of the cache's contents.

            This will make room for at least one new entry.
        """
        if _debug:
            print '  Cutting down cache size...'
        cachesize = self.cachesize
            
        # Cut the cache down to the entries in recent get history
        newdata = {}
        known_key = newdata.has_key
        data = self.data
        for id in self.get_history[-self.locality:]:
            if known_key(id):
                continue
            try:
                newdata[id] = data[id]
            except KeyError:
                pass

        cachesize = len(newdata)
        if _debug:
            print '   Size after cut to recent history:',cachesize

        # Check
        if cachesize * NOM >= self.max_cachesize * DENOM:

            # Calculate weights
            d = {}
            weights = _weights
            d_get = d.get
            for i,id in Tools.irange(self.get_history[-self.locality:]):
                if not known_key(id):
                    continue
                d[id] = d_get(id,0) + weights[i]

            # Delete all entries left from median
            ranking = Tools.sortedby(d.items(),1)
            if _debug:
                print '   Ranking:',ranking
            for id,weight in ranking[:len(d)/2]:
                if _debug:
                    print '   Deleting',id,'with weight =',weight
                del newdata[id]

            # Check
            cachesize = len(newdata)

            if cachesize * NOM >= self.max_cachesize * DENOM:
                # Ok, so the smart way didn't work...
                if _debug:
                    print '   Did not work, going the hard way...'
                newdata.clear()
                cachesize = 0

        self.data = newdata
        self.cachesize = cachesize
        self.cuts = self.cuts + 1