Python compat.asbytes方法代碼示例

# 需要導入模塊: from numpy import compat [as 別名]
# 或者: from numpy.compat import asbytes [as 別名]
def __init__(self, delimiter=None, comments=asbytes('#'), autostrip=True):
        self.comments = comments
        # Delimiter is a character
        if isinstance(delimiter, unicode):
            delimiter = delimiter.encode('ascii')
        if (delimiter is None) or _is_bytes_like(delimiter):
            delimiter = delimiter or None
            _handyman = self._delimited_splitter
        # Delimiter is a list of field widths
        elif hasattr(delimiter, '__iter__'):
            _handyman = self._variablewidth_splitter
            idx = np.cumsum([0] + list(delimiter))
            delimiter = [slice(i, j) for (i, j) in zip(idx[:-1], idx[1:])]
        # Delimiter is a single integer
        elif int(delimiter):
            (_handyman, delimiter) = (
                    self._fixedwidth_splitter, int(delimiter))
        else:
            (_handyman, delimiter) = (self._delimited_splitter, None)
        self.delimiter = delimiter
        if autostrip:
            self._handyman = self.autostrip(_handyman)
        else:
            self._handyman = _handyman
    # 

# 需要導入模塊: from numpy import compat [as 別名]
# 或者: from numpy.compat import asbytes [as 別名]
def test_bad_header():
    # header of length less than 2 should fail
    s = BytesIO()
    assert_raises(ValueError, format.read_array_header_1_0, s)
    s = BytesIO(asbytes('1'))
    assert_raises(ValueError, format.read_array_header_1_0, s)

    # header shorter than indicated size should fail
    s = BytesIO(asbytes('\x01\x00'))
    assert_raises(ValueError, format.read_array_header_1_0, s)

    # headers without the exact keys required should fail
    d = {"shape": (1, 2),
         "descr": "x"}
    s = BytesIO()
    format.write_array_header_1_0(s, d)
    assert_raises(ValueError, format.read_array_header_1_0, s)

    d = {"shape": (1, 2),
         "fortran_order": False,
         "descr": "x",
         "extrakey": -1}
    s = BytesIO()
    format.write_array_header_1_0(s, d)
    assert_raises(ValueError, format.read_array_header_1_0, s) 

# 需要導入模塊: from numpy import compat [as 別名]
# 或者: from numpy.compat import asbytes [as 別名]
def check_function(self, t):
        tname = t.__doc__.split()[0]
        if tname in ['t0', 't1', 's0', 's1']:
            assert_(t(23) == asbytes('2'))
            r = t('ab')
            assert_(r == asbytes('a'), repr(r))
            r = t(array('ab'))
            assert_(r == asbytes('a'), repr(r))
            r = t(array(77, 'u1'))
            assert_(r == asbytes('M'), repr(r))
            #assert_(_raises(ValueError, t, array([77,87])))
            #assert_(_raises(ValueError, t, array(77)))
        elif tname in ['ts', 'ss']:
            assert_(t(23) == asbytes('23        '), repr(t(23)))
            assert_(t('123456789abcdef') == asbytes('123456789a'))
        elif tname in ['t5', 's5']:
            assert_(t(23) == asbytes('23   '), repr(t(23)))
            assert_(t('ab') == asbytes('ab   '), repr(t('ab')))
            assert_(t('123456789abcdef') == asbytes('12345'))
        else:
            raise NotImplementedError 

# 需要導入模塊: from numpy import compat [as 別名]
# 或者: from numpy.compat import asbytes [as 別名]
def test_exotic_formats(self):
        # Test that 'exotic' formats are processed properly
        easy = mrecarray(1, dtype=[('i', int), ('s', '|S8'), ('f', float)])
        easy[0] = masked
        assert_equal(easy.filled(1).item(), (1, asbytes('1'), 1.))

        solo = mrecarray(1, dtype=[('f0', '<f8', (2, 2))])
        solo[0] = masked
        assert_equal(solo.filled(1).item(),
                     np.array((1,), dtype=solo.dtype).item())

        mult = mrecarray(2, dtype="i4, (2,3)float, float")
        mult[0] = masked
        mult[1] = (1, 1, 1)
        mult.filled(0)
        assert_equal_records(mult.filled(0),
                             np.array([(0, 0, 0), (1, 1, 1)],
                                      dtype=mult.dtype)) 

# 需要導入模塊: from numpy import compat [as 別名]
# 或者: from numpy.compat import asbytes [as 別名]
def test_fillvalue(self):
        # Yet more fun with the fill_value
        data = masked_array([1, 2, 3], fill_value=-999)
        series = data[[0, 2, 1]]
        assert_equal(series._fill_value, data._fill_value)

        mtype = [('f', float), ('s', '|S3')]
        x = array([(1, 'a'), (2, 'b'), (pi, 'pi')], dtype=mtype)
        x.fill_value = 999
        assert_equal(x.fill_value.item(), [999., asbytes('999')])
        assert_equal(x['f'].fill_value, 999)
        assert_equal(x['s'].fill_value, asbytes('999'))

        x.fill_value = (9, '???')
        assert_equal(x.fill_value.item(), (9, asbytes('???')))
        assert_equal(x['f'].fill_value, 9)
        assert_equal(x['s'].fill_value, asbytes('???'))

        x = array([1, 2, 3.1])
        x.fill_value = 999
        assert_equal(np.asarray(x.fill_value).dtype, float)
        assert_equal(x.fill_value, 999.)
        assert_equal(x._fill_value, np.array(999.)) 

# 需要導入模塊: from numpy import compat [as 別名]
# 或者: from numpy.compat import asbytes [as 別名]
def __init__(self, s=""):
        BytesIO.__init__(self, asbytes(s)) 

# 需要導入模塊: from numpy import compat [as 別名]
# 或者: from numpy.compat import asbytes [as 別名]
def write(self, s):
        BytesIO.write(self, asbytes(s)) 

# 需要導入模塊: from numpy import compat [as 別名]
# 或者: from numpy.compat import asbytes [as 別名]
def writelines(self, lines):
        BytesIO.writelines(self, [asbytes(s) for s in lines]) 

# 需要導入模塊: from numpy import compat [as 別名]
# 或者: from numpy.compat import asbytes [as 別名]
def test_array(self):
        a = np.array([[1, 2], [3, 4]], float)
        fmt = "%.18e"
        c = BytesIO()
        np.savetxt(c, a, fmt=fmt)
        c.seek(0)
        assert_equal(c.readlines(),
                     [asbytes((fmt + ' ' + fmt + '\n') % (1, 2)),
                      asbytes((fmt + ' ' + fmt + '\n') % (3, 4))])

        a = np.array([[1, 2], [3, 4]], int)
        c = BytesIO()
        np.savetxt(c, a, fmt='%d')
        c.seek(0)
        assert_equal(c.readlines(), [b'1 2\n', b'3 4\n']) 

# 需要導入模塊: from numpy import compat [as 別名]
# 或者: from numpy.compat import asbytes [as 別名]
def test_header_footer(self):
        # Test the functionality of the header and footer keyword argument.

        c = BytesIO()
        a = np.array([(1, 2), (3, 4)], dtype=int)
        test_header_footer = 'Test header / footer'
        # Test the header keyword argument
        np.savetxt(c, a, fmt='%1d', header=test_header_footer)
        c.seek(0)
        assert_equal(c.read(),
                     asbytes('# ' + test_header_footer + '\n1 2\n3 4\n'))
        # Test the footer keyword argument
        c = BytesIO()
        np.savetxt(c, a, fmt='%1d', footer=test_header_footer)
        c.seek(0)
        assert_equal(c.read(),
                     asbytes('1 2\n3 4\n# ' + test_header_footer + '\n'))
        # Test the commentstr keyword argument used on the header
        c = BytesIO()
        commentstr = '% '
        np.savetxt(c, a, fmt='%1d',
                   header=test_header_footer, comments=commentstr)
        c.seek(0)
        assert_equal(c.read(),
                     asbytes(commentstr + test_header_footer + '\n' + '1 2\n3 4\n'))
        # Test the commentstr keyword argument used on the footer
        c = BytesIO()
        commentstr = '% '
        np.savetxt(c, a, fmt='%1d',
                   footer=test_header_footer, comments=commentstr)
        c.seek(0)
        assert_equal(c.read(),
                     asbytes('1 2\n3 4\n' + commentstr + test_header_footer + '\n')) 

# 需要導入模塊: from numpy import compat [as 別名]
# 或者: from numpy.compat import asbytes [as 別名]
def test_gft_using_generator(self):
        # gft doesn't work with unicode.
        def count():
            for i in range(10):
                yield asbytes("%d" % i)

        res = np.genfromtxt(count())
        assert_array_equal(res, np.arange(10)) 

# 需要導入模塊: from numpy import compat [as 別名]
# 或者: from numpy.compat import asbytes [as 別名]
def test_junk_in_string_fields_of_recarray(self):
        # Ticket #483
        r = np.array([[b'abc']], dtype=[('var1', '|S20')])
        assert_(asbytes(r['var1'][0][0]) == b'abc') 

# 需要導入模塊: from numpy import compat [as 別名]
# 或者: from numpy.compat import asbytes [as 別名]
def test_string_truncation(self):
        # Ticket #1990 - Data can be truncated in creation of an array from a
        # mixed sequence of numeric values and strings
        for val in [True, 1234, 123.4, complex(1, 234)]:
            for tostr in [asunicode, asbytes]:
                b = np.array([val, tostr('xx')])
                assert_equal(tostr(b[0]), tostr(val))
                b = np.array([tostr('xx'), val])
                assert_equal(tostr(b[1]), tostr(val))

                # test also with longer strings
                b = np.array([val, tostr('xxxxxxxxxx')])
                assert_equal(tostr(b[0]), tostr(val))
                b = np.array([tostr('xxxxxxxxxx'), val])
                assert_equal(tostr(b[1]), tostr(val)) 

# 需要導入模塊: from numpy import compat [as 別名]
# 或者: from numpy.compat import asbytes [as 別名]
def center(a, width, fillchar=' '):
    """
    Return a copy of `a` with its elements centered in a string of
    length `width`.

    Calls `str.center` element-wise.

    Parameters
    ----------
    a : array_like of str or unicode

    width : int
        The length of the resulting strings
    fillchar : str or unicode, optional
        The padding character to use (default is space).

    Returns
    -------
    out : ndarray
        Output array of str or unicode, depending on input
        types

    See also
    --------
    str.center

    """
    a_arr = numpy.asarray(a)
    width_arr = numpy.asarray(width)
    size = long(numpy.max(width_arr.flat))
    if numpy.issubdtype(a_arr.dtype, numpy.string_):
        fillchar = asbytes(fillchar)
    return _vec_string(
        a_arr, (a_arr.dtype.type, size), 'center', (width_arr, fillchar)) 

# 需要導入模塊: from numpy import compat [as 別名]
# 或者: from numpy.compat import asbytes [as 別名]
def ljust(a, width, fillchar=' '):
    """
    Return an array with the elements of `a` left-justified in a
    string of length `width`.

    Calls `str.ljust` element-wise.

    Parameters
    ----------
    a : array_like of str or unicode

    width : int
        The length of the resulting strings
    fillchar : str or unicode, optional
        The character to use for padding

    Returns
    -------
    out : ndarray
        Output array of str or unicode, depending on input type

    See also
    --------
    str.ljust

    """
    a_arr = numpy.asarray(a)
    width_arr = numpy.asarray(width)
    size = long(numpy.max(width_arr.flat))
    if numpy.issubdtype(a_arr.dtype, numpy.string_):
        fillchar = asbytes(fillchar)
    return _vec_string(
        a_arr, (a_arr.dtype.type, size), 'ljust', (width_arr, fillchar))