Ejemplo n.º 1
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 def test_file_handle_mmap(self):
     try:
         f = open(self.csv1, 'rb')
         reader = TextReader(f, memory_map=True, header=None)
         reader.read()
     finally:
         f.close()
Ejemplo n.º 2
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    def test_skip_bad_lines(self):
        # too many lines, see #2430 for why
        data = ('a:b:c\n'
                'd:e:f\n'
                'g:h:i\n'
                'j:k:l:m\n'
                'l:m:n\n'
                'o:p:q:r')

        reader = TextReader(StringIO(data), delimiter=':',
                            header=None)
        pytest.raises(parser.ParserError, reader.read)

        reader = TextReader(StringIO(data), delimiter=':',
                            header=None,
                            error_bad_lines=False,
                            warn_bad_lines=False)
        result = reader.read()
        expected = {0: ['a', 'd', 'g', 'l'],
                    1: ['b', 'e', 'h', 'm'],
                    2: ['c', 'f', 'i', 'n']}
        assert_array_dicts_equal(result, expected)

        reader = TextReader(StringIO(data), delimiter=':',
                            header=None,
                            error_bad_lines=False,
                            warn_bad_lines=True)
        reader.read()
        val = sys.stderr.getvalue()

        assert 'Skipping line 4' in val
        assert 'Skipping line 6' in val
Ejemplo n.º 3
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    def test_skip_bad_lines(self, capsys):
        # too many lines, see #2430 for why
        data = ('a:b:c\n'
                'd:e:f\n'
                'g:h:i\n'
                'j:k:l:m\n'
                'l:m:n\n'
                'o:p:q:r')

        reader = TextReader(StringIO(data), delimiter=':',
                            header=None)
        msg = (r"Error tokenizing data\. C error: Expected 3 fields in"
               " line 4, saw 4")
        with pytest.raises(parser.ParserError, match=msg):
            reader.read()

        reader = TextReader(StringIO(data), delimiter=':',
                            header=None,
                            error_bad_lines=False,
                            warn_bad_lines=False)
        result = reader.read()
        expected = {0: np.array(['a', 'd', 'g', 'l'], dtype=object),
                    1: np.array(['b', 'e', 'h', 'm'], dtype=object),
                    2: np.array(['c', 'f', 'i', 'n'], dtype=object)}
        assert_array_dicts_equal(result, expected)

        reader = TextReader(StringIO(data), delimiter=':',
                            header=None,
                            error_bad_lines=False,
                            warn_bad_lines=True)
        reader.read()
        captured = capsys.readouterr()

        assert 'Skipping line 4' in captured.err
        assert 'Skipping line 6' in captured.err
Ejemplo n.º 4
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    def test_parse_booleans(self):
        data = 'True\nFalse\nTrue\nTrue'

        reader = TextReader(StringIO(data), header=None)
        result = reader.read()

        assert result[0].dtype == np.bool_
Ejemplo n.º 5
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 def test_file_handle(self):
     try:
         f = open(self.csv1, 'rb')
         reader = TextReader(f)
         result = reader.read()  # noqa
     finally:
         f.close()
Ejemplo n.º 6
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    def test_embedded_newline(self):
        data = 'a\n"hello\nthere"\nthis'

        reader = TextReader(StringIO(data), header=None)
        result = reader.read()

        expected = np.array(['a', 'hello\nthere', 'this'], dtype=np.object_)
        tm.assert_numpy_array_equal(result[0], expected)
Ejemplo n.º 7
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    def test_integer_thousands(self):
        data = '123,456\n12,500'

        reader = TextReader(StringIO(data), delimiter=':',
                            thousands=',', header=None)
        result = reader.read()

        expected = np.array([123456, 12500], dtype=np.int64)
        tm.assert_almost_equal(result[0], expected)
Ejemplo n.º 8
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    def test_euro_decimal(self):
        data = '12345,67\n345,678'

        reader = TextReader(StringIO(data), delimiter=':',
                            decimal=',', header=None)
        result = reader.read()

        expected = np.array([12345.67, 345.678])
        tm.assert_almost_equal(result[0], expected)
Ejemplo n.º 9
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    def test_escapechar(self):
        data = ('\\"hello world\"\n'
                '\\"hello world\"\n'
                '\\"hello world\"')

        reader = TextReader(StringIO(data), delimiter=',', header=None,
                            escapechar='\\')
        result = reader.read()
        expected = {0: np.array(['"hello world"'] * 3, dtype=object)}
        assert_array_dicts_equal(result, expected)
Ejemplo n.º 10
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    def test_delimit_whitespace(self):
        data = 'a  b\na\t\t "b"\n"a"\t \t b'

        reader = TextReader(StringIO(data), delim_whitespace=True,
                            header=None)
        result = reader.read()

        tm.assert_numpy_array_equal(result[0], np.array(['a', 'a', 'a'],
                                                        dtype=np.object_))
        tm.assert_numpy_array_equal(result[1], np.array(['b', 'b', 'b'],
                                                        dtype=np.object_))
Ejemplo n.º 11
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    def test_delimit_whitespace(self):
        data = 'a  b\na\t\t "b"\n"a"\t \t b'

        reader = TextReader(StringIO(data), delim_whitespace=True,
                            header=None)
        result = reader.read()

        tm.assert_numpy_array_equal(result[0], np.array(['a', 'a', 'a'],
                                                        dtype=np.object_))
        tm.assert_numpy_array_equal(result[1], np.array(['b', 'b', 'b'],
                                                        dtype=np.object_))
Ejemplo n.º 12
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    def test_integer_thousands(self):
        data = "123,456\n12,500"

        reader = TextReader(StringIO(data),
                            delimiter=":",
                            thousands=",",
                            header=None)
        result = reader.read()

        expected = np.array([123456, 12500], dtype=np.int64)
        tm.assert_almost_equal(result[0], expected)
Ejemplo n.º 13
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    def test_euro_decimal(self):
        data = '12345,67\n345,678'

        reader = TextReader(StringIO(data),
                            delimiter=':',
                            decimal=',',
                            header=None)
        result = reader.read()

        expected = np.array([12345.67, 345.678])
        tm.assert_almost_equal(result[0], expected)
    def test_skipinitialspace(self):
        data = "a,   b\na,   b\na,   b\na,   b"

        reader = TextReader(StringIO(data), skipinitialspace=True, header=None)
        result = reader.read()

        tm.assert_numpy_array_equal(
            result[0], np.array(["a", "a", "a", "a"], dtype=np.object_)
        )
        tm.assert_numpy_array_equal(
            result[1], np.array(["b", "b", "b", "b"], dtype=np.object_)
        )
Ejemplo n.º 15
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    def test_skipinitialspace(self):
        data = ('a,   b\n'
                'a,   b\n'
                'a,   b\n'
                'a,   b')

        reader = TextReader(StringIO(data), skipinitialspace=True,
                            header=None)
        result = reader.read()

        tm.assert_numpy_array_equal(result[0], np.array(['a', 'a', 'a', 'a'],
                                                        dtype=np.object_))
        tm.assert_numpy_array_equal(result[1], np.array(['b', 'b', 'b', 'b'],
                                                        dtype=np.object_))
Ejemplo n.º 16
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    def test_header_not_enough_lines(self):
        data = "skip this\nskip this\na,b,c\n1,2,3\n4,5,6"

        reader = TextReader(StringIO(data), delimiter=",", header=2)
        header = reader.header
        expected = [["a", "b", "c"]]
        assert header == expected

        recs = reader.read()
        expected = {
            0: np.array([1, 4], dtype=np.int64),
            1: np.array([2, 5], dtype=np.int64),
            2: np.array([3, 6], dtype=np.int64),
        }
        assert_array_dicts_equal(recs, expected)
Ejemplo n.º 17
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    def test_skip_bad_lines(self, capsys):
        # too many lines, see #2430 for why
        data = "a:b:c\nd:e:f\ng:h:i\nj:k:l:m\nl:m:n\no:p:q:r"

        reader = TextReader(StringIO(data), delimiter=":", header=None)
        msg = r"Error tokenizing data\. C error: Expected 3 fields in line 4, saw 4"
        with pytest.raises(parser.ParserError, match=msg):
            reader.read()

        reader = TextReader(
            StringIO(data),
            delimiter=":",
            header=None,
            error_bad_lines=False,
            warn_bad_lines=False,
        )
        result = reader.read()
        expected = {
            0: np.array(["a", "d", "g", "l"], dtype=object),
            1: np.array(["b", "e", "h", "m"], dtype=object),
            2: np.array(["c", "f", "i", "n"], dtype=object),
        }
        assert_array_dicts_equal(result, expected)

        reader = TextReader(
            StringIO(data),
            delimiter=":",
            header=None,
            error_bad_lines=False,
            warn_bad_lines=True,
        )
        reader.read()
        captured = capsys.readouterr()

        assert "Skipping line 4" in captured.err
        assert "Skipping line 6" in captured.err
    def test_header_not_enough_lines(self):
        data = ('skip this\n' 'skip this\n' 'a,b,c\n' '1,2,3\n' '4,5,6')

        reader = TextReader(StringIO(data), delimiter=',', header=2)
        header = reader.header
        expected = [['a', 'b', 'c']]
        assert header == expected

        recs = reader.read()
        expected = {
            0: np.array([1, 4], dtype=np.int64),
            1: np.array([2, 5], dtype=np.int64),
            2: np.array([3, 6], dtype=np.int64)
        }
        assert_array_dicts_equal(recs, expected)
Ejemplo n.º 19
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    def test_header_not_enough_lines(self):
        data = ('skip this\n'
                'skip this\n'
                'a,b,c\n'
                '1,2,3\n'
                '4,5,6')

        reader = TextReader(StringIO(data), delimiter=',', header=2)
        header = reader.header
        expected = [['a', 'b', 'c']]
        assert header == expected

        recs = reader.read()
        expected = {0: np.array([1, 4], dtype=np.int64),
                    1: np.array([2, 5], dtype=np.int64),
                    2: np.array([3, 6], dtype=np.int64)}
        assert_array_dicts_equal(recs, expected)
Ejemplo n.º 20
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    def test_header_not_enough_lines(self):
        data = ('skip this\n'
                'skip this\n'
                'a,b,c\n'
                '1,2,3\n'
                '4,5,6')

        reader = TextReader(StringIO(data), delimiter=',', header=2)
        header = reader.header
        expected = [['a', 'b', 'c']]
        assert header == expected

        recs = reader.read()
        expected = {0: [1, 4], 1: [2, 5], 2: [3, 6]}
        assert_array_dicts_equal(expected, recs)

        # not enough rows
        pytest.raises(parser.ParserError, TextReader, StringIO(data),
                      delimiter=',', header=5, as_recarray=True)
Ejemplo n.º 21
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    def test_header_not_enough_lines(self):
        data = ('skip this\n' 'skip this\n' 'a,b,c\n' '1,2,3\n' '4,5,6')

        reader = TextReader(StringIO(data), delimiter=',', header=2)
        header = reader.header
        expected = [['a', 'b', 'c']]
        assert header == expected

        recs = reader.read()
        expected = {0: [1, 4], 1: [2, 5], 2: [3, 6]}
        assert_array_dicts_equal(expected, recs)

        # not enough rows
        pytest.raises(parser.ParserError,
                      TextReader,
                      StringIO(data),
                      delimiter=',',
                      header=5,
                      as_recarray=True)
 def test_file_handle_mmap(self):
     with open(self.csv1, 'rb') as f:
         reader = TextReader(f, memory_map=True, header=None)
         reader.read()
 def test_string_filename(self):
     reader = TextReader(self.csv1, header=None)
     reader.read()
 def test_file_handle(self):
     with open(self.csv1, 'rb') as f:
         reader = TextReader(f)
         reader.read()
Ejemplo n.º 25
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 def test_file_handle_mmap(self):
     # this was never using memory_map=True
     with open(self.csv1, "rb") as f:
         reader = TextReader(f, header=None)
         reader.read()
Ejemplo n.º 26
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 def test_StringIO(self, csv_path):
     with open(csv_path, "rb") as f:
         text = f.read()
     src = BytesIO(text)
     reader = TextReader(src, header=None)
     reader.read()
 def test_StringIO(self):
     with open(self.csv1, 'rb') as f:
         text = f.read()
     src = BytesIO(text)
     reader = TextReader(src, header=None)
     reader.read()
Ejemplo n.º 28
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 def test_string_factorize(self):
     # should this be optional?
     data = 'a\nb\na\nb\na'
     reader = TextReader(StringIO(data), header=None)
     result = reader.read()
     assert len(set(map(id, result[0]))) == 2
Ejemplo n.º 29
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 def test_StringIO(self):
     with open(self.csv1, 'rb') as f:
         text = f.read()
     src = BytesIO(text)
     reader = TextReader(src, header=None)
     reader.read()
Ejemplo n.º 30
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 def test_file_handle_mmap(self):
     with open(self.csv1, 'rb') as f:
         reader = TextReader(f, memory_map=True, header=None)
         reader.read()
Ejemplo n.º 31
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 def test_string_filename(self):
     reader = TextReader(self.csv1, header=None)
     reader.read()
Ejemplo n.º 32
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 def test_file_handle(self):
     with open(self.csv1, 'rb') as f:
         reader = TextReader(f)
         reader.read()
 def test_string_factorize(self):
     # should this be optional?
     data = 'a\nb\na\nb\na'
     reader = TextReader(StringIO(data), header=None)
     result = reader.read()
     assert len(set(map(id, result[0]))) == 2
Ejemplo n.º 34
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 def test_file_handle(self, csv_path):
     with open(csv_path, "rb") as f:
         reader = TextReader(f)
         reader.read()