Fixed #31363 -- Added support for negative integers to intword template filter.
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@ -140,7 +140,8 @@ def intword(value):
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except (TypeError, ValueError):
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return value
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if value < 1000000:
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abs_value = abs(value)
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if abs_value < 1000000:
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return value
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def _check_for_i18n(value, float_formatted, string_formatted):
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@ -156,10 +157,10 @@ def intword(value):
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for exponent, converters in intword_converters:
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large_number = 10 ** exponent
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if value < large_number * 1000:
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if abs_value < large_number * 1000:
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new_value = value / large_number
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rounded_value = round_away_from_one(new_value)
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return _check_for_i18n(new_value, *converters(rounded_value))
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return _check_for_i18n(new_value, *converters(abs(rounded_value)))
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return value
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@ -66,6 +66,7 @@ Examples:
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* ``1000000`` becomes ``1.0 million``.
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* ``1200000`` becomes ``1.2 million``.
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* ``1200000000`` becomes ``1.2 billion``.
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* ``-1200000000`` becomes ``-1.2 billion``.
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Values up to 10^100 (Googol) are supported.
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@ -75,12 +76,17 @@ e.g. with the ``'de'`` language:
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* ``1000000`` becomes ``'1,0 Million'``.
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* ``1200000`` becomes ``'1,2 Millionen'``.
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* ``1200000000`` becomes ``'1,2 Milliarden'``.
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* ``-1200000000`` becomes ``'-1,2 Milliarden'``.
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.. versionchanged:: 3.0
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All numeric values are now translated as plural, except ``1.0`` which is
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translated as a singular phrase. This may be incorrect for some languages.
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.. versionchanged:: 3.1
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Support for negative integers was added.
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.. templatefilter:: naturalday
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``naturalday``
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@ -77,6 +77,11 @@ Minor features
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* Added the :class:`~django.contrib.gis.db.models.functions.AsWKB` and
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:class:`~django.contrib.gis.db.models.functions.AsWKT` functions.
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:mod:`django.contrib.humanize`
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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* :tfilter:`intword` template filter now supports negative integers.
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:mod:`django.contrib.messages`
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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@ -99,19 +99,27 @@ class HumanizeTests(SimpleTestCase):
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self.humanize_tester([100], ['100'], 'intcomma')
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def test_intword(self):
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test_list = (
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# Positive integers.
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test_list_positive = (
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'100', '1000000', '1200000', '1290000', '1000000000', '2000000000',
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'6000000000000', '1300000000000000', '3500000000000000000000',
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'8100000000000000000000000000000000', None, ('1' + '0' * 100),
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'8100000000000000000000000000000000', ('1' + '0' * 100),
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('1' + '0' * 104),
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)
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result_list = (
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result_list_positive = (
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'100', '1.0 million', '1.2 million', '1.3 million', '1.0 billion',
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'2.0 billion', '6.0 trillion', '1.3 quadrillion', '3.5 sextillion',
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'8.1 decillion', None, '1.0 googol', ('1' + '0' * 104),
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'8.1 decillion', '1.0 googol', ('1' + '0' * 104),
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)
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# Negative integers.
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test_list_negative = ('-' + test for test in test_list_positive)
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result_list_negative = ('-' + result for result in result_list_positive)
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with translation.override('en'):
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self.humanize_tester(test_list, result_list, 'intword')
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self.humanize_tester(
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(*test_list_positive, *test_list_negative, None),
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(*result_list_positive, *result_list_negative, None),
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'intword',
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)
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def test_i18n_intcomma(self):
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test_list = (100, 1000, 10123, 10311, 1000000, 1234567.25,
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@ -123,17 +131,25 @@ class HumanizeTests(SimpleTestCase):
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self.humanize_tester(test_list, result_list, 'intcomma')
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def test_i18n_intword(self):
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test_list = (
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# Positive integers.
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test_list_positive = (
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'100', '1000000', '1200000', '1290000', '1000000000', '2000000000',
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'6000000000000',
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)
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result_list = (
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result_list_positive = (
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'100', '1,0 Million', '1,2 Millionen', '1,3 Millionen',
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'1,0 Milliarde', '2,0 Milliarden', '6,0 Billionen',
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)
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# Negative integers.
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test_list_negative = ('-' + test for test in test_list_positive)
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result_list_negative = ('-' + result for result in result_list_positive)
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with self.settings(USE_L10N=True, USE_THOUSAND_SEPARATOR=True):
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with translation.override('de'):
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self.humanize_tester(test_list, result_list, 'intword')
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self.humanize_tester(
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(*test_list_positive, *test_list_negative),
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(*result_list_positive, *result_list_negative),
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'intword',
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)
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def test_apnumber(self):
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test_list = [str(x) for x in range(1, 11)]
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