tzfile.py :  » Chart-Report » Matplotlib » matplotlib-0.99.1.1 » lib » pytz » Python Open Source

Home
Python Open Source
1.3.1.2 Python
2.Ajax
3.Aspect Oriented
4.Blog
5.Build
6.Business Application
7.Chart Report
8.Content Management Systems
9.Cryptographic
10.Database
11.Development
12.Editor
13.Email
14.ERP
15.Game 2D 3D
16.GIS
17.GUI
18.IDE
19.Installer
20.IRC
21.Issue Tracker
22.Language Interface
23.Log
24.Math
25.Media Sound Audio
26.Mobile
27.Network
28.Parser
29.PDF
30.Project Management
31.RSS
32.Search
33.Security
34.Template Engines
35.Test
36.UML
37.USB Serial
38.Web Frameworks
39.Web Server
40.Web Services
41.Web Unit
42.Wiki
43.Windows
44.XML
Python Open Source » Chart Report » Matplotlib 
Matplotlib » matplotlib 0.99.1.1 » lib » pytz » tzfile.py
#!/usr/bin/env python
'''
$Id: tzfile.py,v 1.8 2004/06/03 00:15:24 zenzen Exp $
'''

from cStringIO import StringIO
from datetime import datetime,timedelta
from struct import unpack,calcsize

from pytz.tzinfo import StaticTzInfo,DstTzInfo,memorized_ttinfo
from pytz.tzinfo import memorized_datetime,memorized_timedelta


def build_tzinfo(zone, fp):
    head_fmt = '>4s 16x 6l'
    head_size = calcsize(head_fmt)
    (magic,ttisgmtcnt,ttisstdcnt,leapcnt,
     timecnt,typecnt,charcnt) =  unpack(head_fmt, fp.read(head_size))
    
    # Make sure it is a tzinfo(5) file
    assert magic == 'TZif'

    # Read out the transition times, localtime indices and ttinfo structures.
    data_fmt = '>%(timecnt)dl %(timecnt)dB %(ttinfo)s %(charcnt)ds' % dict(
        timecnt=timecnt, ttinfo='lBB'*typecnt, charcnt=charcnt)
    data_size = calcsize(data_fmt)
    data = unpack(data_fmt, fp.read(data_size))

    # make sure we unpacked the right number of values
    assert len(data) == 2 * timecnt + 3 * typecnt + 1
    transitions = [memorized_datetime(trans)
                   for trans in data[:timecnt]]
    lindexes = list(data[timecnt:2 * timecnt])
    ttinfo_raw = data[2 * timecnt:-1]
    tznames_raw = data[-1]
    del data

    # Process ttinfo into separate structs
    ttinfo = []
    tznames = {}
    i = 0
    while i < len(ttinfo_raw):
        # have we looked up this timezone name yet?
        tzname_offset = ttinfo_raw[i+2]
        if tzname_offset not in tznames:
            nul = tznames_raw.find('\0', tzname_offset)
            if nul < 0:
                nul = len(tznames_raw)
            tznames[tzname_offset] = tznames_raw[tzname_offset:nul]
        ttinfo.append((ttinfo_raw[i],
                       bool(ttinfo_raw[i+1]),
                       tznames[tzname_offset]))
        i += 3

    # Now build the timezone object
    if len(transitions) == 0:
        ttinfo[0][0], ttinfo[0][2]
        cls = type(zone, (StaticTzInfo,), dict(
            zone=zone,
            _utcoffset=memorized_timedelta(ttinfo[0][0]),
            _tzname=ttinfo[0][2]))
    else:
        # Early dates use the first standard time ttinfo
        i = 0
        while ttinfo[i][1]:
            i += 1
        if ttinfo[i] == ttinfo[lindexes[0]]:
            transitions[0] = datetime.min
        else:
            transitions.insert(0, datetime.min)
            lindexes.insert(0, i)

        # calculate transition info
        transition_info = []
        for i in range(len(transitions)):
            inf = ttinfo[lindexes[i]]
            utcoffset = inf[0]
            if not inf[1]:
                dst = 0
            else:
                for j in range(i-1, -1, -1):
                    prev_inf = ttinfo[lindexes[j]]
                    if not prev_inf[1]:
                        break
                dst = inf[0] - prev_inf[0] # dst offset
            tzname = inf[2]

            # Round utcoffset and dst to the nearest minute or the
            # datetime library will complain. Conversions to these timezones
            # might be up to plus or minus 30 seconds out, but it is
            # the best we can do.
            utcoffset = int((utcoffset + 30) / 60) * 60
            dst = int((dst + 30) / 60) * 60
            transition_info.append(memorized_ttinfo(utcoffset, dst, tzname))

        cls = type(zone, (DstTzInfo,), dict(
            zone=zone,
            _utc_transition_times=transitions,
            _transition_info=transition_info))

    return cls()

if __name__ == '__main__':
    import os.path
    from pprint import pprint
    base = os.path.join(os.path.dirname(__file__), 'zoneinfo')
    tz = build_tzinfo('Australia/Melbourne',
                      open(os.path.join(base,'Australia','Melbourne'), 'rb'))
    tz = build_tzinfo('US/Eastern',
                      open(os.path.join(base,'US','Eastern'), 'rb'))
    pprint(tz._utc_transition_times)
    #print tz.asPython(4)
    #print tz.transitions_mapping
www.java2java.com | Contact Us
Copyright 2009 - 12 Demo Source and Support. All rights reserved.
All other trademarks are property of their respective owners.