354 lines
13 KiB
Python
354 lines
13 KiB
Python
import time
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from datetime import date
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import numpy as np
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from numpy.testing import (
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assert_, assert_equal, assert_allclose, assert_raises,
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)
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from numpy.lib._iotools import (
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LineSplitter, NameValidator, StringConverter,
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has_nested_fields, easy_dtype, flatten_dtype
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)
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class TestLineSplitter:
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"Tests the LineSplitter class."
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def test_no_delimiter(self):
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"Test LineSplitter w/o delimiter"
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strg = " 1 2 3 4 5 # test"
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test = LineSplitter()(strg)
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assert_equal(test, ['1', '2', '3', '4', '5'])
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test = LineSplitter('')(strg)
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assert_equal(test, ['1', '2', '3', '4', '5'])
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def test_space_delimiter(self):
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"Test space delimiter"
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strg = " 1 2 3 4 5 # test"
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test = LineSplitter(' ')(strg)
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assert_equal(test, ['1', '2', '3', '4', '', '5'])
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test = LineSplitter(' ')(strg)
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assert_equal(test, ['1 2 3 4', '5'])
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def test_tab_delimiter(self):
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"Test tab delimiter"
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strg = " 1\t 2\t 3\t 4\t 5 6"
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test = LineSplitter('\t')(strg)
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assert_equal(test, ['1', '2', '3', '4', '5 6'])
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strg = " 1 2\t 3 4\t 5 6"
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test = LineSplitter('\t')(strg)
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assert_equal(test, ['1 2', '3 4', '5 6'])
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def test_other_delimiter(self):
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"Test LineSplitter on delimiter"
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strg = "1,2,3,4,,5"
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test = LineSplitter(',')(strg)
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assert_equal(test, ['1', '2', '3', '4', '', '5'])
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#
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strg = " 1,2,3,4,,5 # test"
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test = LineSplitter(',')(strg)
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assert_equal(test, ['1', '2', '3', '4', '', '5'])
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# gh-11028 bytes comment/delimiters should get encoded
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strg = b" 1,2,3,4,,5 % test"
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test = LineSplitter(delimiter=b',', comments=b'%')(strg)
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assert_equal(test, ['1', '2', '3', '4', '', '5'])
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def test_constant_fixed_width(self):
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"Test LineSplitter w/ fixed-width fields"
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strg = " 1 2 3 4 5 # test"
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test = LineSplitter(3)(strg)
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assert_equal(test, ['1', '2', '3', '4', '', '5', ''])
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#
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strg = " 1 3 4 5 6# test"
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test = LineSplitter(20)(strg)
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assert_equal(test, ['1 3 4 5 6'])
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#
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strg = " 1 3 4 5 6# test"
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test = LineSplitter(30)(strg)
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assert_equal(test, ['1 3 4 5 6'])
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def test_variable_fixed_width(self):
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strg = " 1 3 4 5 6# test"
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test = LineSplitter((3, 6, 6, 3))(strg)
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assert_equal(test, ['1', '3', '4 5', '6'])
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#
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strg = " 1 3 4 5 6# test"
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test = LineSplitter((6, 6, 9))(strg)
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assert_equal(test, ['1', '3 4', '5 6'])
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# -----------------------------------------------------------------------------
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class TestNameValidator:
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def test_case_sensitivity(self):
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"Test case sensitivity"
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names = ['A', 'a', 'b', 'c']
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test = NameValidator().validate(names)
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assert_equal(test, ['A', 'a', 'b', 'c'])
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test = NameValidator(case_sensitive=False).validate(names)
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assert_equal(test, ['A', 'A_1', 'B', 'C'])
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test = NameValidator(case_sensitive='upper').validate(names)
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assert_equal(test, ['A', 'A_1', 'B', 'C'])
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test = NameValidator(case_sensitive='lower').validate(names)
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assert_equal(test, ['a', 'a_1', 'b', 'c'])
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# check exceptions
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assert_raises(ValueError, NameValidator, case_sensitive='foobar')
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def test_excludelist(self):
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"Test excludelist"
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names = ['dates', 'data', 'Other Data', 'mask']
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validator = NameValidator(excludelist=['dates', 'data', 'mask'])
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test = validator.validate(names)
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assert_equal(test, ['dates_', 'data_', 'Other_Data', 'mask_'])
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def test_missing_names(self):
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"Test validate missing names"
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namelist = ('a', 'b', 'c')
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validator = NameValidator()
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assert_equal(validator(namelist), ['a', 'b', 'c'])
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namelist = ('', 'b', 'c')
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assert_equal(validator(namelist), ['f0', 'b', 'c'])
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namelist = ('a', 'b', '')
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assert_equal(validator(namelist), ['a', 'b', 'f0'])
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namelist = ('', 'f0', '')
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assert_equal(validator(namelist), ['f1', 'f0', 'f2'])
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def test_validate_nb_names(self):
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"Test validate nb names"
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namelist = ('a', 'b', 'c')
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validator = NameValidator()
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assert_equal(validator(namelist, nbfields=1), ('a',))
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assert_equal(validator(namelist, nbfields=5, defaultfmt="g%i"),
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['a', 'b', 'c', 'g0', 'g1'])
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def test_validate_wo_names(self):
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"Test validate no names"
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namelist = None
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validator = NameValidator()
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assert_(validator(namelist) is None)
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assert_equal(validator(namelist, nbfields=3), ['f0', 'f1', 'f2'])
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# -----------------------------------------------------------------------------
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def _bytes_to_date(s):
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return date(*time.strptime(s, "%Y-%m-%d")[:3])
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class TestStringConverter:
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"Test StringConverter"
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def test_creation(self):
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"Test creation of a StringConverter"
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converter = StringConverter(int, -99999)
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assert_equal(converter._status, 1)
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assert_equal(converter.default, -99999)
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def test_upgrade(self):
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"Tests the upgrade method."
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converter = StringConverter()
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assert_equal(converter._status, 0)
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# test int
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assert_equal(converter.upgrade('0'), 0)
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assert_equal(converter._status, 1)
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# On systems where long defaults to 32-bit, the statuses will be
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# offset by one, so we check for this here.
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import numpy._core.numeric as nx
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status_offset = int(nx.dtype(nx.int_).itemsize < nx.dtype(nx.int64).itemsize)
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# test int > 2**32
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assert_equal(converter.upgrade('17179869184'), 17179869184)
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assert_equal(converter._status, 1 + status_offset)
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# test float
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assert_allclose(converter.upgrade('0.'), 0.0)
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assert_equal(converter._status, 2 + status_offset)
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# test complex
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assert_equal(converter.upgrade('0j'), complex('0j'))
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assert_equal(converter._status, 3 + status_offset)
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# test str
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# note that the longdouble type has been skipped, so the
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# _status increases by 2. Everything should succeed with
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# unicode conversion (8).
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for s in ['a', b'a']:
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res = converter.upgrade(s)
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assert_(type(res) is str)
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assert_equal(res, 'a')
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assert_equal(converter._status, 8 + status_offset)
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def test_missing(self):
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"Tests the use of missing values."
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converter = StringConverter(missing_values=('missing',
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'missed'))
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converter.upgrade('0')
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assert_equal(converter('0'), 0)
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assert_equal(converter(''), converter.default)
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assert_equal(converter('missing'), converter.default)
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assert_equal(converter('missed'), converter.default)
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try:
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converter('miss')
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except ValueError:
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pass
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def test_upgrademapper(self):
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"Tests updatemapper"
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dateparser = _bytes_to_date
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_original_mapper = StringConverter._mapper[:]
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try:
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StringConverter.upgrade_mapper(dateparser, date(2000, 1, 1))
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convert = StringConverter(dateparser, date(2000, 1, 1))
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test = convert('2001-01-01')
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assert_equal(test, date(2001, 1, 1))
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test = convert('2009-01-01')
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assert_equal(test, date(2009, 1, 1))
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test = convert('')
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assert_equal(test, date(2000, 1, 1))
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finally:
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StringConverter._mapper = _original_mapper
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def test_string_to_object(self):
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"Make sure that string-to-object functions are properly recognized"
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old_mapper = StringConverter._mapper[:] # copy of list
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conv = StringConverter(_bytes_to_date)
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assert_equal(conv._mapper, old_mapper)
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assert_(hasattr(conv, 'default'))
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def test_keep_default(self):
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"Make sure we don't lose an explicit default"
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converter = StringConverter(None, missing_values='',
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default=-999)
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converter.upgrade('3.14159265')
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assert_equal(converter.default, -999)
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assert_equal(converter.type, np.dtype(float))
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#
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converter = StringConverter(
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None, missing_values='', default=0)
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converter.upgrade('3.14159265')
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assert_equal(converter.default, 0)
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assert_equal(converter.type, np.dtype(float))
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def test_keep_default_zero(self):
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"Check that we don't lose a default of 0"
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converter = StringConverter(int, default=0,
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missing_values="N/A")
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assert_equal(converter.default, 0)
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def test_keep_missing_values(self):
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"Check that we're not losing missing values"
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converter = StringConverter(int, default=0,
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missing_values="N/A")
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assert_equal(
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converter.missing_values, {'', 'N/A'})
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def test_int64_dtype(self):
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"Check that int64 integer types can be specified"
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converter = StringConverter(np.int64, default=0)
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val = "-9223372036854775807"
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assert_(converter(val) == -9223372036854775807)
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val = "9223372036854775807"
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assert_(converter(val) == 9223372036854775807)
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def test_uint64_dtype(self):
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"Check that uint64 integer types can be specified"
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converter = StringConverter(np.uint64, default=0)
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val = "9223372043271415339"
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assert_(converter(val) == 9223372043271415339)
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class TestMiscFunctions:
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def test_has_nested_dtype(self):
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"Test has_nested_dtype"
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ndtype = np.dtype(float)
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assert_equal(has_nested_fields(ndtype), False)
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ndtype = np.dtype([('A', '|S3'), ('B', float)])
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assert_equal(has_nested_fields(ndtype), False)
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ndtype = np.dtype([('A', int), ('B', [('BA', float), ('BB', '|S1')])])
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assert_equal(has_nested_fields(ndtype), True)
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def test_easy_dtype(self):
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"Test ndtype on dtypes"
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# Simple case
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ndtype = float
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assert_equal(easy_dtype(ndtype), np.dtype(float))
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# As string w/o names
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ndtype = "i4, f8"
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assert_equal(easy_dtype(ndtype),
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np.dtype([('f0', "i4"), ('f1', "f8")]))
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# As string w/o names but different default format
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assert_equal(easy_dtype(ndtype, defaultfmt="field_%03i"),
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np.dtype([('field_000', "i4"), ('field_001', "f8")]))
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# As string w/ names
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ndtype = "i4, f8"
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assert_equal(easy_dtype(ndtype, names="a, b"),
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np.dtype([('a', "i4"), ('b', "f8")]))
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# As string w/ names (too many)
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ndtype = "i4, f8"
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assert_equal(easy_dtype(ndtype, names="a, b, c"),
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np.dtype([('a', "i4"), ('b', "f8")]))
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# As string w/ names (not enough)
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ndtype = "i4, f8"
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assert_equal(easy_dtype(ndtype, names=", b"),
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np.dtype([('f0', "i4"), ('b', "f8")]))
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# ... (with different default format)
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assert_equal(easy_dtype(ndtype, names="a", defaultfmt="f%02i"),
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np.dtype([('a', "i4"), ('f00', "f8")]))
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# As list of tuples w/o names
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ndtype = [('A', int), ('B', float)]
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assert_equal(easy_dtype(ndtype), np.dtype([('A', int), ('B', float)]))
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# As list of tuples w/ names
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assert_equal(easy_dtype(ndtype, names="a,b"),
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np.dtype([('a', int), ('b', float)]))
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# As list of tuples w/ not enough names
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assert_equal(easy_dtype(ndtype, names="a"),
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np.dtype([('a', int), ('f0', float)]))
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# As list of tuples w/ too many names
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assert_equal(easy_dtype(ndtype, names="a,b,c"),
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np.dtype([('a', int), ('b', float)]))
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# As list of types w/o names
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ndtype = (int, float, float)
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assert_equal(easy_dtype(ndtype),
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np.dtype([('f0', int), ('f1', float), ('f2', float)]))
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# As list of types w names
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ndtype = (int, float, float)
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assert_equal(easy_dtype(ndtype, names="a, b, c"),
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np.dtype([('a', int), ('b', float), ('c', float)]))
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# As simple dtype w/ names
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ndtype = np.dtype(float)
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assert_equal(easy_dtype(ndtype, names="a, b, c"),
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np.dtype([(_, float) for _ in ('a', 'b', 'c')]))
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# As simple dtype w/o names (but multiple fields)
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ndtype = np.dtype(float)
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assert_equal(
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easy_dtype(ndtype, names=['', '', ''], defaultfmt="f%02i"),
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np.dtype([(_, float) for _ in ('f00', 'f01', 'f02')]))
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def test_flatten_dtype(self):
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"Testing flatten_dtype"
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# Standard dtype
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dt = np.dtype([("a", "f8"), ("b", "f8")])
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dt_flat = flatten_dtype(dt)
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assert_equal(dt_flat, [float, float])
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# Recursive dtype
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dt = np.dtype([("a", [("aa", '|S1'), ("ab", '|S2')]), ("b", int)])
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dt_flat = flatten_dtype(dt)
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assert_equal(dt_flat, [np.dtype('|S1'), np.dtype('|S2'), int])
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# dtype with shaped fields
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dt = np.dtype([("a", (float, 2)), ("b", (int, 3))])
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dt_flat = flatten_dtype(dt)
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assert_equal(dt_flat, [float, int])
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dt_flat = flatten_dtype(dt, True)
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assert_equal(dt_flat, [float] * 2 + [int] * 3)
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# dtype w/ titles
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dt = np.dtype([(("a", "A"), "f8"), (("b", "B"), "f8")])
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dt_flat = flatten_dtype(dt)
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assert_equal(dt_flat, [float, float])
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