This package provides a DateTime data type, as known from Zope. Unless you need to communicate with Zope APIs, you're probably better off using Python's built-in datetime module.

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DateTime

This package provides a DateTime data type, as known from Zope.

Unless you need to communicate with Zope APIs, you’re probably better off using Python’s built-in datetime module.

For further documentation, please have a look at src/DateTime/DateTime.txt.

The DateTime package

Encapsulation of date/time values.

Function Timezones()

Returns the list of recognized timezone names:

>>> from DateTime import Timezones
>>> zones = set(Timezones())

Almost all of the standard pytz timezones are included, with the exception of some commonly-used but ambiguous abbreviations, where historical Zope usage conflicts with the name used by pytz:

>>> import pytz
>>> [x for x in pytz.all_timezones if x not in zones]
['CET', 'EET', 'EST', 'MET', 'MST', 'WET']

Class DateTime

DateTime objects represent instants in time and provide interfaces for controlling its representation without affecting the absolute value of the object.

DateTime objects may be created from a wide variety of string or numeric data, or may be computed from other DateTime objects. DateTimes support the ability to convert their representations to many major timezones, as well as the ability to create a DateTime object in the context of a given timezone.

DateTime objects provide partial numerical behavior:

  • Two date-time objects can be subtracted to obtain a time, in days between the two.

  • A date-time object and a positive or negative number may be added to obtain a new date-time object that is the given number of days later than the input date-time object.

  • A positive or negative number and a date-time object may be added to obtain a new date-time object that is the given number of days later than the input date-time object.

  • A positive or negative number may be subtracted from a date-time object to obtain a new date-time object that is the given number of days earlier than the input date-time object.

DateTime objects may be converted to integer, long, or float numbers of days since January 1, 1901, using the standard int, long, and float functions (Compatibility Note: int, long and float return the number of days since 1901 in GMT rather than local machine timezone). DateTime objects also provide access to their value in a float format usable with the python time module, provided that the value of the object falls in the range of the epoch-based time module.

A DateTime object should be considered immutable; all conversion and numeric operations return a new DateTime object rather than modify the current object.

A DateTime object always maintains its value as an absolute UTC time, and is represented in the context of some timezone based on the arguments used to create the object. A DateTime object’s methods return values based on the timezone context.

Note that in all cases the local machine timezone is used for representation if no timezone is specified.

Constructor for DateTime

DateTime() returns a new date-time object. DateTimes may be created with from zero to seven arguments:

  • If the function is called with no arguments, then the current date/ time is returned, represented in the timezone of the local machine.

  • If the function is invoked with a single string argument which is a recognized timezone name, an object representing the current time is returned, represented in the specified timezone.

  • If the function is invoked with a single string argument representing a valid date/time, an object representing that date/ time will be returned.

    As a general rule, any date-time representation that is recognized and unambiguous to a resident of North America is acceptable. (The reason for this qualification is that in North America, a date like: 2/1/1994 is interpreted as February 1, 1994, while in some parts of the world, it is interpreted as January 2, 1994.) A date/ time string consists of two components, a date component and an optional time component, separated by one or more spaces. If the time component is omitted, 12:00am is assumed.

    Any recognized timezone name specified as the final element of the date/time string will be used for computing the date/time value. (If you create a DateTime with the string, “Mar 9, 1997 1:45pm US/Pacific”, the value will essentially be the same as if you had captured time.time() at the specified date and time on a machine in that timezone). If no timezone is passed, then the timezone configured on the local machine will be used, except that if the date format matches ISO 8601 (‘YYYY-MM-DD’), the instance will use UTC / GMT+0 as the timezone.

    o Returns current date/time, represented in US/Eastern:

    >>> from DateTime import DateTime
>>> e = DateTime('US/Eastern')
>>> e.timezone()
'US/Eastern'

    o Returns specified time, represented in local machine zone:

    >>> x = DateTime('1997/3/9 1:45pm')
>>> x.parts() # doctest: +ELLIPSIS
(1997, 3, 9, 13, 45, ...)

    o Specified time in local machine zone, verbose format:

    >>> y = DateTime('Mar 9, 1997 13:45:00')
>>> y.parts() # doctest: +ELLIPSIS
(1997, 3, 9, 13, 45, ...)
>>> y == x
True

    o Specified time in UTC via ISO 8601 rule:

    >>> z = DateTime('2014-03-24')
>>> z.parts() # doctest: +ELLIPSIS
(2014, 3, 24, 0, 0, ...)
>>> z.timezone()
'GMT+0'

    The date component consists of year, month, and day values. The year value must be a one-, two-, or four-digit integer. If a one- or two-digit year is used, the year is assumed to be in the twentieth century. The month may an integer, from 1 to 12, a month name, or a month abbreviation, where a period may optionally follow the abbreviation. The day must be an integer from 1 to the number of days in the month. The year, month, and day values may be separated by periods, hyphens, forward slashes, or spaces. Extra spaces are permitted around the delimiters. Year, month, and day values may be given in any order as long as it is possible to distinguish the components. If all three components are numbers that are less than 13, then a a month-day-year ordering is assumed.

    The time component consists of hour, minute, and second values separated by colons. The hour value must be an integer between 0 and 23 inclusively. The minute value must be an integer between 0 and 59 inclusively. The second value may be an integer value between 0 and 59.999 inclusively. The second value or both the minute and second values may be omitted. The time may be followed by am or pm in upper or lower case, in which case a 12-hour clock is assumed.

  • If the DateTime function is invoked with a single numeric argument, the number is assumed to be either a floating point value such as that returned by time.time(), or a number of days after January 1, 1901 00:00:00 UTC.

    A DateTime object is returned that represents either the GMT value of the time.time() float represented in the local machine’s timezone, or that number of days after January 1, 1901. Note that the number of days after 1901 need to be expressed from the viewpoint of the local machine’s timezone. A negative argument will yield a date-time value before 1901.

  • If the function is invoked with two numeric arguments, then the first is taken to be an integer year and the second argument is taken to be an offset in days from the beginning of the year, in the context of the local machine timezone. The date-time value returned is the given offset number of days from the beginning of the given year, represented in the timezone of the local machine. The offset may be positive or negative. Two-digit years are assumed to be in the twentieth century.

  • If the function is invoked with two arguments, the first a float representing a number of seconds past the epoch in GMT (such as those returned by time.time()) and the second a string naming a recognized timezone, a DateTime with a value of that GMT time will be returned, represented in the given timezone.

    >>> import time
>>> t = time.time()

    Time t represented as US/Eastern:

    >>> now_east = DateTime(t, 'US/Eastern')

    Time t represented as US/Pacific:

    >>> now_west = DateTime(t, 'US/Pacific')

    Only their representations are different:

    >>> now_east.equalTo(now_west)
True

  • If the function is invoked with three or more numeric arguments, then the first is taken to be an integer year, the second is taken to be an integer month, and the third is taken to be an integer day. If the combination of values is not valid, then a DateTimeError is raised. One- or two-digit years up to 69 are assumed to be in the 21st century, whereas values 70-99 are assumed to be 20th century. The fourth, fifth, and sixth arguments are floating point, positive or negative offsets in units of hours, minutes, and days, and default to zero if not given. An optional string may be given as the final argument to indicate timezone (the effect of this is as if you had taken the value of time.time() at that time on a machine in the specified timezone).

If a string argument passed to the DateTime constructor cannot be parsed, it will raise SyntaxError. Invalid date, time, or timezone components will raise a DateTimeError.

The module function Timezones() will return a list of the timezones recognized by the DateTime module. Recognition of timezone names is case-insensitive.

Instance Methods for DateTime (IDateTime interface)

Conversion and comparison methods

  • timeTime() returns the date/time as a floating-point number in UTC, in the format used by the Python time module. Note that it is possible to create date /time values with DateTime that have no meaningful value to the time module, and in such cases a DateTimeError is raised. A DateTime object’s value must generally be between Jan 1, 1970 (or your local machine epoch) and Jan 2038 to produce a valid time.time() style value.

    >>> dt = DateTime('Mar 9, 1997 13:45:00 US/Eastern')
>>> dt.timeTime()
857933100.0

    >>> DateTime('2040/01/01 UTC').timeTime()
2208988800.0

    >>> DateTime('1900/01/01 UTC').timeTime()
-2208988800.0

  • toZone(z) returns a DateTime with the value as the current object, represented in the indicated timezone:

    >>> dt.toZone('UTC')
DateTime('1997/03/09 18:45:00 UTC')

    >>> dt.toZone('UTC').equalTo(dt)
True

  • isFuture() returns true if this object represents a date/time later than the time of the call:

    >>> dt.isFuture()
False
>>> DateTime('Jan 1 3000').isFuture() # not time-machine safe!
True

  • isPast() returns true if this object represents a date/time earlier than the time of the call:

    >>> dt.isPast()
True
>>> DateTime('Jan 1 3000').isPast() # not time-machine safe!
False

  • isCurrentYear() returns true if this object represents a date/time that falls within the current year, in the context of this object’s timezone representation:

    >>> dt.isCurrentYear()
False
>>> DateTime().isCurrentYear()
True

  • isCurrentMonth() returns true if this object represents a date/time that falls within the current month, in the context of this object’s timezone representation:

    >>> dt.isCurrentMonth()
False
>>> DateTime().isCurrentMonth()
True

  • isCurrentDay() returns true if this object represents a date/time that falls within the current day, in the context of this object’s timezone representation:

    >>> dt.isCurrentDay()
False
>>> DateTime().isCurrentDay()
True

  • isCurrentHour() returns true if this object represents a date/time that falls within the current hour, in the context of this object’s timezone representation:

    >>> dt.isCurrentHour()
False

    >>> DateTime().isCurrentHour()
True

  • isCurrentMinute() returns true if this object represents a date/time that falls within the current minute, in the context of this object’s timezone representation:

    >>> dt.isCurrentMinute()
False
>>> DateTime().isCurrentMinute()
True

  • isLeapYear() returns true if the current year (in the context of the object’s timezone) is a leap year:

    >>> dt.isLeapYear()
False
>>> DateTime('Mar 8 2004').isLeapYear()
True
  • earliestTime() returns a new DateTime object that represents the

    earliest possible time (in whole seconds) that still falls within the current object’s day, in the object’s timezone context:

    >>> dt.earliestTime()
DateTime('1997/03/09 00:00:00 US/Eastern')

  • latestTime() return a new DateTime object that represents the latest possible time (in whole seconds) that still falls within the current object’s day, in the object’s timezone context

    >>> dt.latestTime()
DateTime('1997/03/09 23:59:59 US/Eastern')

Component access

  • parts() returns a tuple containing the calendar year, month, day, hour, minute second and timezone of the object

    >>> dt.parts() # doctest: +ELLIPSIS
(1997, 3, 9, 13, 45, ... 'US/Eastern')

  • timezone() returns the timezone in which the object is represented:

    >>> dt.timezone() in Timezones()
True

  • tzoffset() returns the timezone offset for the objects timezone:

    >>> dt.tzoffset()
-18000

  • year() returns the calendar year of the object:

    >>> dt.year()
1997

  • month() retursn the month of the object as an integer:

    >>> dt.month()
3

  • Month() returns the full month name:

    >>> dt.Month()
'March'

  • aMonth() returns the abreviated month name:

    >>> dt.aMonth()
'Mar'

  • pMonth() returns the abreviated (with period) month name:

    >>> dt.pMonth()
'Mar.'

  • day() returns the integer day:

    >>> dt.day()
9

  • Day() returns the full name of the day of the week:

    >>> dt.Day()
'Sunday'

  • dayOfYear() returns the day of the year, in context of the timezone representation of the object:

    >>> dt.dayOfYear()
68

  • aDay() returns the abbreviated name of the day of the week:

    >>> dt.aDay()
'Sun'

  • pDay() returns the abbreviated (with period) name of the day of the week:

    >>> dt.pDay()
'Sun.'

  • dow() returns the integer day of the week, where Sunday is 0:

    >>> dt.dow()
0

  • dow_1() returns the integer day of the week, where sunday is 1:

    >>> dt.dow_1()
1

  • h_12() returns the 12-hour clock representation of the hour:

    >>> dt.h_12()
1

  • h_24() returns the 24-hour clock representation of the hour:

    >>> dt.h_24()
13

  • ampm() returns the appropriate time modifier (am or pm):

    >>> dt.ampm()
'pm'

  • hour() returns the 24-hour clock representation of the hour:

    >>> dt.hour()
13

  • minute() returns the minute:

    >>> dt.minute()
45

  • second() returns the second:

    >>> dt.second() == 0
True

  • millis() returns the milliseconds since the epoch in GMT.

    >>> dt.millis() == 857933100000
True

strftime()

See tests/test_datetime.py.

General formats from previous DateTime

  • Date() return the date string for the object:

    >>> dt.Date()
'1997/03/09'

  • Time() returns the time string for an object to the nearest second:

    >>> dt.Time()
'13:45:00'

  • TimeMinutes() returns the time string for an object not showing seconds:

    >>> dt.TimeMinutes()
'13:45'

  • AMPM() returns the time string for an object to the nearest second:

    >>> dt.AMPM()
'01:45:00 pm'

  • AMPMMinutes() returns the time string for an object not showing seconds:

    >>> dt.AMPMMinutes()
'01:45 pm'

  • PreciseTime() returns the time string for the object:

    >>> dt.PreciseTime()
'13:45:00.000'

  • PreciseAMPM() returns the time string for the object:

    >>> dt.PreciseAMPM()
'01:45:00.000 pm'

  • yy() returns the calendar year as a 2 digit string

    >>> dt.yy()
'97'

  • mm() returns the month as a 2 digit string

    >>> dt.mm()
'03'

  • dd() returns the day as a 2 digit string:

    >>> dt.dd()
'09'

  • rfc822() returns the date in RFC 822 format:

    >>> dt.rfc822()
'Sun, 09 Mar 1997 13:45:00 -0500'

New formats

  • fCommon() returns a string representing the object’s value in the format: March 9, 1997 1:45 pm:

    >>> dt.fCommon()
'March 9, 1997 1:45 pm'

  • fCommonZ() returns a string representing the object’s value in the format: March 9, 1997 1:45 pm US/Eastern:

    >>> dt.fCommonZ()
'March 9, 1997 1:45 pm US/Eastern'

  • aCommon() returns a string representing the object’s value in the format: Mar 9, 1997 1:45 pm:

    >>> dt.aCommon()
'Mar 9, 1997 1:45 pm'

  • aCommonZ() return a string representing the object’s value in the format: Mar 9, 1997 1:45 pm US/Eastern:

    >>> dt.aCommonZ()
'Mar 9, 1997 1:45 pm US/Eastern'

  • pCommon() returns a string representing the object’s value in the format Mar. 9, 1997 1:45 pm:

    >>> dt.pCommon()
'Mar. 9, 1997 1:45 pm'

  • pCommonZ() returns a string representing the object’s value in the format: Mar. 9, 1997 1:45 pm US/Eastern:

    >>> dt.pCommonZ()
'Mar. 9, 1997 1:45 pm US/Eastern'

  • ISO() returns a string with the date/time in ISO format. Note: this is not ISO 8601-format! See the ISO8601 and HTML4 methods below for ISO 8601-compliant output. Dates are output as: YYYY-MM-DD HH:MM:SS

    >>> dt.ISO()
'1997-03-09 13:45:00'

  • ISO8601() returns the object in ISO 8601-compatible format containing the date, time with seconds-precision and the time zone identifier - see http://www.w3.org/TR/NOTE-datetime. Dates are output as: YYYY-MM-DDTHH:MM:SSTZD (T is a literal character, TZD is Time Zone Designator, format +HH:MM or -HH:MM).

    The HTML4() method below offers the same formatting, but converts to UTC before returning the value and sets the TZD”Z”

    >>> dt.ISO8601()
'1997-03-09T13:45:00-05:00'

  • HTML4() returns the object in the format used in the HTML4.0 specification, one of the standard forms in ISO8601. See http://www.w3.org/TR/NOTE-datetime. Dates are output as: YYYY-MM-DDTHH:MM:SSZ (T, Z are literal characters, the time is in UTC.):

    >>> dt.HTML4()
'1997-03-09T18:45:00Z'

  • JulianDay() returns the Julian day according to http://www.tondering.dk/claus/cal/node3.html#sec-calcjd

    >>> dt.JulianDay()
2450517

  • week() returns the week number according to ISO see http://www.tondering.dk/claus/cal/node6.html#SECTION00670000000000000000

    >>> dt.week()
10

Deprecated API

  • DayOfWeek(): see Day()

  • Day_(): see pDay()

  • Mon(): see aMonth()

  • Mon_(): see pMonth

General Services Provided by DateTime

DateTimes can be repr()’ed; the result will be a string indicating how to make a DateTime object like this:

>>> repr(dt)
"DateTime('1997/03/09 13:45:00 US/Eastern')"

When we convert them into a string, we get a nicer string that could actually be shown to a user:

>>> str(dt)
'1997/03/09 13:45:00 US/Eastern'

The hash value of a DateTime is based on the date and time and is equal for different representations of the DateTime:

>>> hash(dt)
3618678
>>> hash(dt.toZone('UTC'))
3618678

DateTime objects can be compared to other DateTime objects OR floating point numbers such as the ones which are returned by the python time module by using the equalTo method. Using this API, True is returned if the object represents a date/time equal to the specified DateTime or time module style time:

>>> dt.equalTo(dt)
True
>>> dt.equalTo(dt.toZone('UTC'))
True
>>> dt.equalTo(dt.timeTime())
True
>>> dt.equalTo(DateTime())
False

Same goes for inequalities:

>>> dt.notEqualTo(dt)
False
>>> dt.notEqualTo(dt.toZone('UTC'))
False
>>> dt.notEqualTo(dt.timeTime())
False
>>> dt.notEqualTo(DateTime())
True

Normal equality operations only work with DateTime objects and take the timezone setting into account:

>>> dt == dt
True
>>> dt == dt.toZone('UTC')
False
>>> dt == DateTime()
False

>>> dt != dt
False
>>> dt != dt.toZone('UTC')
True
>>> dt != DateTime()
True

But the other comparison operations compare the referenced moment in time and not the representation itself:

>>> dt > dt
False
>>> DateTime() > dt
True
>>> dt > DateTime().timeTime()
False
>>> DateTime().timeTime() > dt
True

>>> dt.greaterThan(dt)
False
>>> DateTime().greaterThan(dt)
True
>>> dt.greaterThan(DateTime().timeTime())
False

>>> dt >= dt
True
>>> DateTime() >= dt
True
>>> dt >= DateTime().timeTime()
False
>>> DateTime().timeTime() >= dt
True

>>> dt.greaterThanEqualTo(dt)
True
>>> DateTime().greaterThanEqualTo(dt)
True
>>> dt.greaterThanEqualTo(DateTime().timeTime())
False

>>> dt < dt
False
>>> DateTime() < dt
False
>>> dt < DateTime().timeTime()
True
>>> DateTime().timeTime() < dt
False

>>> dt.lessThan(dt)
False
>>> DateTime().lessThan(dt)
False
>>> dt.lessThan(DateTime().timeTime())
True

>>> dt <= dt
True
>>> DateTime() <= dt
False
>>> dt <= DateTime().timeTime()
True
>>> DateTime().timeTime() <= dt
False

>>> dt.lessThanEqualTo(dt)
True
>>> DateTime().lessThanEqualTo(dt)
False
>>> dt.lessThanEqualTo(DateTime().timeTime())
True

Numeric Services Provided by DateTime

A DateTime may be added to a number and a number may be added to a DateTime:

>>> dt + 5
DateTime('1997/03/14 13:45:00 US/Eastern')
>>> 5 + dt
DateTime('1997/03/14 13:45:00 US/Eastern')

Two DateTimes cannot be added:

>>> from DateTime.interfaces import DateTimeError
>>> try:
...     dt + dt
...     print('fail')
... except DateTimeError:
...     print('ok')
ok

Either a DateTime or a number may be subtracted from a DateTime, however, a DateTime may not be subtracted from a number:

>>> DateTime('1997/03/10 13:45 US/Eastern') - dt
1.0
>>> dt - 1
DateTime('1997/03/08 13:45:00 US/Eastern')
>>> 1 - dt
Traceback (most recent call last):
...
TypeError: unsupported operand type(s) for -: 'int' and 'DateTime'

DateTimes can also be converted to integers (number of seconds since the epoch) and floats:

>>> int(dt)
857933100
>>> float(dt)
857933100.0

Changelog

4.6 (2022-09-10)

  • Fix __format__ method for DateTime objects (#39 <https://github.com/zopefoundation/DateTime/issues/39>)

4.5 (2022-07-04)

  • Add __format__ method for DateTime objects (#35)

4.4 (2022-02-11)

  • Fix WAT definition #31.

  • Add support for Python 3.8, 3.9, and 3.10.

  • Drop support for Python 3.4.

4.3 (2018-10-05)

  • Add support for Python 3.7.

4.2 (2017-04-26)

  • Add support for Python 3.6, drop support for Python 3.3.

4.1.1 (2016-04-30)

  • Support unpickling instances having a numeric timezone like +0430.

4.1 (2016-04-03)

  • Add support for Python 3.4 and 3.5.

  • Drop support for Python 2.6 and 3.2.

4.0.1 (2013-10-15)

  • Provide more backward compatible timezones. [vangheem]

4.0 (2013-02-23)

  • Added support for Python 3.2 and 3.3 in addition to 2.6 and 2.7.

  • Removed unused legacy pytz tests and the DateTimeZone module and renamed some test internals.

3.0.3 (2013-01-22)

  • Allow timezone argument to be a Unicode string while creating a DateTime object using two arguments.

3.0.2 (2012-10-21)

  • LP #1045233: Respect date format setting for parsing dates like 11-01-2001.

3.0.1 (2012-09-23)

  • Add _dt_reconstructor function introduced in DateTime 2.12.7 to provide forward compatibility with pickles that might reference this function.

3.0 (2011-12-09)

  • No changes.

Backwards compatibility of DateTime 3

DateTime 3 changes its pickle representation. DateTime instances pickled with former versions of DateTime can be read, but older DateTime versions cannot read DateTime instances pickled with version 3.

DateTime 3 changes DateTime to be a new-style class with slots instead of being an old-style class.

DateTime 3 tries to preserve microsecond resolution throughout most of its API’s while former versions were often only accurate to millisecond resolution. Due to the representation of float values in Python versions before Python 2.7 you shouldn’t compare string or float representations of DateTime instances if you want high accuracy. The same is true for calculated values returned by methods like timeTime(). You get the highest accuracy of comparing DateTime values by calling its micros() methods. DateTime is not particular well suited to be used in comparing timestamps of file systems - use the time and datetime objects from the Python standard library instead.

3.0b3 (2011-10-19)

  • Allow comparison of DateTime objects against None.

3.0b2 (2011-10-19)

  • Reverted the single argument None special case handling for unpickling and continue to treat it as meaning now.

3.0b1 (2011-05-07)

  • Restored strftimeFormatter as a class.

  • Added tests for read-only class attributes and interface.

3.0a2 (2011-05-07)

  • Added back support for reading old DateTime pickles without a _micros value.

  • Avoid storing _t representing the time as a float in seconds since the epoch, as we already have _micros doing the same as a long. Memory use is down to about 300 bytes per DateTime instance.

  • Updated exception raising syntax to current style.

  • Avoid storing _aday, _fday, _pday, _amon, _fmon, _pmon, _pmhour and _pm in memory for every instance but look them up dynamically based on _dayoffset, _month and _hour. This saves another 150 bytes of memory per DateTime instance.

  • Moved various internal parsing related class variables to module constants.

  • No longer provide the DateError, DateTimeError, SyntaxError and TimeError exceptions as class attributes, import them from their canonical DateTime.interfaces location instead.

  • Removed deprecated _isDST and _localzone class variables.

  • Moved pytz cache from DateTime._tzinfo to a module global _TZINFO.

  • Make DateTime a new-style class and limit its available attributes via a slots definition. The pickle size increases to 110 bytes thanks to the ccopy_regn_reconstructor stanza. But the memory size drops from 3kb to 500 bytes for each instance.

3.0a1 (2011-05-06)

  • Reordered some calculations in _calcIndependentSecondEtc to preserve more floating point precision.

  • Optimized the pickled data, by only storing a tuple of _micros and time zone information - this reduces the pickle size from an average of 300 bytes to just 60 bytes.

  • Optimized un-pickling, by avoiding the creation of an intermediate DateTime value representing the current time.

  • Removed in-place migration of old DateTime pickles without a _micros value.

  • Removed deprecated support for using DateTime.__cmp__.

  • Take time zone settings into account when comparing two date times for (non-) equality.

  • Fixed (possibly unused) _parse_iso8601 function.

  • Removed unused import of legacy DateTimeZone, strftime and re. Remove trailing whitespace.

  • Removed reference to missing version section from buildout.

2.12.7 (2012-08-11)

  • Added forward compatibility with DateTime 3 pickle format. DateTime instances constructed under version 3 can be read and unpickled by this version. The pickled data is converted to the current versions format (old-style class / no slots). Once converted it will be stored again in the old format. This should allow for a transparent upgrade/downgrade path between DateTime 2 and 3.

2.12.6 (2010-10-17)

  • Changed testDayOfWeek test to be independent of OS locale.

2.12.5 (2010-07-29)

  • Launchpad #143269: Corrected the documentation for year value behavior when constructing a DateTime object with three numeric arguments.

  • Launchpad #142521: Removed confusing special case in DateTime.__str__ where DateTime instances for midnight (e.g. ‘2010-07-27 00:00:00 US/Eastern’) values would render only their date and nothing else.

2.12.4 (2010-07-12)

  • Fixed mapping of EDT (was -> ‘GMT-0400’, now ‘GMT-4’).

2.12.3 (2010-07-09)

  • Added EDT timezone support. Addresses bug #599856. [vangheem]

2.12.2 (2010-05-05)

  • Launchpad #572715: Relaxed pin on pytz, after applying a patch from Marius Gedminus which fixes the apparent API breakage.

2.12.1 (2010-04-30)

  • Removed an undeclared testing dependency on zope.testing.doctest in favor of the standard libraries doctest module.

  • Added a maximum version requirement on pytz <= 2010b. Later versions produce test failures related to timezone changes.

2.12.0 (2009-03-04)

  • Launchpad #290254: Forward-ported fix for ‘_micros’-less pickles from the Zope 2.11 branch version.

2.11.2 (2009-02-02)

  • Include all pytz zone names, not just “common” ones.

  • Fix one fragile doctest, band-aid another.

  • Fix for launchpad #267545: DateTime(DateTime()) should preserve the correct hour.

2.11.1 (2008-08-05)

  • DateTime conversion of datetime objects with non-pytz tzinfo. Timezones() returns a copy of the timezone list (allows tests to run).

  • Merged the slinkp-datetime-200007 branch: fix the DateTime(anotherDateTime) constructor to preserve timezones.

2.11.0b1 (2008-01-06)

  • Split off from the Zope2 main source code tree.

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5.5

5.4

5.3

5.2

5.1

5.0 yanked

Reason this release was yanked:

missing python_requires

4.9

4.8

4.7

This version

4.6

4.5

4.4

4.3

4.2

4.1.1

4.1

4.0.1

4.0

3.0.3

3.0.2

3.0.1

3.0

3.0b3 pre-release

3.0b2 pre-release

3.0b1 pre-release

3.0a2 pre-release

3.0a1 pre-release

2.12.8

2.12.7

2.12.6

2.12.5

2.12.4

2.12.3

2.12.2

2.12.1

2.12.0

2.11.2

2.11.1

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