Experiments
-----------

>>> import dates
>>> import datetime

data_a_llista
----------------

>>> d1 = datetime.date (2016, 3, 25)
>>> dates.data_a_llista(d1)
[25, 3, 2016]
>>> d2 = datetime.date (1900, 1, 1)
>>> dates.data_a_llista(d2)
[1, 1, 1900]
>>> d3 = datetime.date (2016, 2, 29)
>>> dates.data_a_llista(d3)
[29, 2, 2016]
>>> d4 = datetime.date (567, 2, 1)
>>> dates.data_a_llista(d4)
[1, 2, 567]


data_a_string
----------------

>>> dates.data_a_string(d1)
'25/03/2016'
>>> dates.data_a_string(d2)
'01/01/1900'
>>> dates.data_a_string(d3)
'29/02/2016'
>>> dates.data_a_string(d4)
'01/02/0567'

string_a_data
-------------

>>> dates.string_a_data ('25/03/2016')
datetime.date(2016, 3, 25)
>>> dates.string_a_data ('01/01/1900')
datetime.date(1900, 1, 1)
>>> dates.string_a_data ('29/02/2016')
datetime.date(2016, 2, 29)

data_dif
--------

>>> d1 = datetime.date (2016, 3, 25)
>>> d2 = datetime.date (1900, 1, 1)
>>> d3 = datetime.date (2016, 2, 29)
>>> dates.data_dif(d1, d3)
-25
>>> dates.data_dif(d2, d3)
42427
>>> dates.data_dif(d3, d1)
25
>>> d5 = datetime.date (2016, 2, 25)
>>> dates.data_dif (d5, d1)
29

tempus_fugit
------------

>>> dates.tempus_fugit('25/03/2016', '29/02/2016')
-25
>>> dates.tempus_fugit('01/01/1900','29/02/2016')
42427
>>> dates.tempus_fugit('29/02/2016', '25/03/2016')
25
>>> dates.tempus_fugit('25/02/2016','25/03/2016')
29

temps_dif
---------

>>> t1 = datetime.time (10, 25, 30)
>>> t2 = datetime.time (10, 35, 30)
>>> t3 = datetime.time (11, 0, 0)
>>> dates.temps_dif(t1, t2)
600
>>> dates.temps_dif(t2, t3)
1470
>>> dates.temps_dif(t1, t3)
2070

cap_de_setmana
--------------

>>> dia = datetime.date(2023, 3, 1)
>>> dies = datetime.timedelta(1)
>>> it = map(lambda num: dia+dies*num, range(31))
>>> it1 = dates.cap_de_setmana(it)
>>> for d in it1:
...   d
('2023-03-04', 'ds.')
('2023-03-05', 'dg.')
('2023-03-11', 'ds.')
('2023-03-12', 'dg.')
('2023-03-18', 'ds.')
('2023-03-19', 'dg.')
('2023-03-25', 'ds.')
('2023-03-26', 'dg.')

>>> dia = datetime.date(2023, 4, 1)
>>> dies = datetime.timedelta(1)
>>> it = map(lambda num: dia+dies*num, range(61))
>>> it1 = dates.cap_de_setmana(it)
>>> next(it1)
('2023-04-01', 'ds.')
>>> next(it1)
('2023-04-02', 'dg.')
>>> next(it1)
('2023-04-08', 'ds.')
>>> list(it1)
[('2023-04-09', 'dg.'), ('2023-04-15', 'ds.'), ('2023-04-16', 'dg.'), ('2023-04-22', 'ds.'), ('2023-04-23', 'dg.'), ('2023-04-29', 'ds.'), ('2023-04-30', 'dg.'), ('2023-05-06', 'ds.'), ('2023-05-07', 'dg.'), ('2023-05-13', 'ds.'), ('2023-05-14', 'dg.'), ('2023-05-20', 'ds.'), ('2023-05-21', 'dg.'), ('2023-05-27', 'ds.'), ('2023-05-28', 'dg.')]