Python sys.byteorder方法代碼示例

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import byteorder [as 別名]
def serialize_numpy(m, t):
    '''
    serialize_numpy(m, type) converts the numpy array m into a byte stream that can be read by the
    nben.util.Py4j Java class. The function assumes that the type of the array needn't be encoded
    in the bytearray itself. The bytearray will begin with an integer, the number of dimensions,
    followed by that number of integers (the dimension sizes themselves) then the bytes of the
    array, flattened.
    The argument type gives the type of the array to be transferred and must be 'i' for integer or
    'd' for double (or any other string accepted by array.array()).
    '''
    # Start with the header: <number of dimensions> <dim1-size> <dim2-size> ...
    header = array('i', [len(m.shape)] + list(m.shape))
    # Now, we can do the array itself, just flattened
    body = array(t, m.flatten().tolist())
    # Wrap bytes if necessary...
    if sys.byteorder != 'big':
        header.byteswap()
        body.byteswap()
    # And return the result:
    return bytearray(header.tostring() + body.tostring()) 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import byteorder [as 別名]
def to_xml(self):
        # fix endianness to machine endianness
        self.endian = gifti_endian_codes.code[sys.byteorder]
        result = ""
        result += self.to_xml_open()
        # write metadata
        if not self.meta is None:
            result += self.meta.to_xml()
        # write coord sys
        if not self.coordsys is None:
            result += self.coordsys.to_xml()
        # write data array depending on the encoding
        dt_kind = data_type_codes.dtype[self.datatype].kind
        result += data_tag(self.data,
                           gifti_encoding_codes.specs[self.encoding],
                           KIND2FMT[dt_kind],
                           self.ind_ord)
        result = result + self.to_xml_close()
        return result 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import byteorder [as 別名]
def test_byteorder_check():
    # Byte order check should pass for native order
    if sys.byteorder == 'little':
        native = '<'
    else:
        native = '>'

    for dtt in (np.float32, np.float64):
        arr = np.eye(4, dtype=dtt)
        n_arr = arr.newbyteorder(native)
        sw_arr = arr.newbyteorder('S').byteswap()
        assert_equal(arr.dtype.byteorder, '=')
        for routine in (linalg.inv, linalg.det, linalg.pinv):
            # Normal call
            res = routine(arr)
            # Native but not '='
            assert_array_equal(res, routine(n_arr))
            # Swapped
            assert_array_equal(res, routine(sw_arr)) 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import byteorder [as 別名]
def __init__(self, fname, data, convert_dates=None, write_index=True,
                 encoding="latin-1", byteorder=None, time_stamp=None,
                 data_label=None, variable_labels=None):
        super(StataWriter, self).__init__()
        self._convert_dates = {} if convert_dates is None else convert_dates
        self._write_index = write_index
        self._encoding = 'latin-1'
        self._time_stamp = time_stamp
        self._data_label = data_label
        self._variable_labels = variable_labels
        self._own_file = True
        # attach nobs, nvars, data, varlist, typlist
        self._prepare_pandas(data)

        if byteorder is None:
            byteorder = sys.byteorder
        self._byteorder = _set_endianness(byteorder)
        self._fname = _stringify_path(fname)
        self.type_converters = {253: np.int32, 252: np.int16, 251: np.int8}
        self._converted_names = {} 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import byteorder [as 別名]
def save_pfm(fname, image, scale=1):
    file = open(fname, 'w') 
    color = None
     
    if image.dtype.name != 'float32':
        raise Exception('Image dtype must be float32.')
     
    if len(image.shape) == 3 and image.shape[2] == 3: # color image
        color = True
    elif len(image.shape) == 2 or len(image.shape) == 3 and image.shape[2] == 1: # greyscale
        color = False
    else:
        raise Exception('Image must have H x W x 3, H x W x 1 or H x W dimensions.')
     
    file.write('PF\n' if color else 'Pf\n')
    file.write('%d %d\n' % (image.shape[1], image.shape[0]))
     
    endian = image.dtype.byteorder
     
    if endian == '<' or endian == '=' and sys.byteorder == 'little':
        scale = -scale
     
    file.write('%f\n' % scale)
     
    np.flipud(image).tofile(file) 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import byteorder [as 別名]
def writeframesraw(self, data):
        self._ensure_header_written(len(data))
        nframes = len(data) // (self._sampwidth * self._nchannels)
        if self._convert:
            data = self._convert(data)
        if self._sampwidth in (2, 4) and sys.byteorder == 'big':
            import array
            a = array.array(_array_fmts[self._sampwidth])
            a.fromstring(data)
            data = a
            assert data.itemsize == self._sampwidth
            data.byteswap()
            data.tofile(self._file)
            self._datawritten = self._datawritten + len(data) * self._sampwidth
        else:
            if self._sampwidth == 3 and sys.byteorder == 'big':
                data = _byteswap3(data)
            self._file.write(data)
            self._datawritten = self._datawritten + len(data)
        self._nframeswritten = self._nframeswritten + nframes 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import byteorder [as 別名]
def test_endian_float(self):
        if sys.byteorder == "little":
            self.assertIs(c_float.__ctype_le__, c_float)
            self.assertIs(c_float.__ctype_be__.__ctype_le__, c_float)
        else:
            self.assertIs(c_float.__ctype_be__, c_float)
            self.assertIs(c_float.__ctype_le__.__ctype_be__, c_float)
        s = c_float(math.pi)
        self.assertEqual(bin(struct.pack("f", math.pi)), bin(s))
        # Hm, what's the precision of a float compared to a double?
        self.assertAlmostEqual(s.value, math.pi, 6)
        s = c_float.__ctype_le__(math.pi)
        self.assertAlmostEqual(s.value, math.pi, 6)
        self.assertEqual(bin(struct.pack("<f", math.pi)), bin(s))
        s = c_float.__ctype_be__(math.pi)
        self.assertAlmostEqual(s.value, math.pi, 6)
        self.assertEqual(bin(struct.pack(">f", math.pi)), bin(s)) 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import byteorder [as 別名]
def test_endian_double(self):
        if sys.byteorder == "little":
            self.assertIs(c_double.__ctype_le__, c_double)
            self.assertIs(c_double.__ctype_be__.__ctype_le__, c_double)
        else:
            self.assertIs(c_double.__ctype_be__, c_double)
            self.assertIs(c_double.__ctype_le__.__ctype_be__, c_double)
        s = c_double(math.pi)
        self.assertEqual(s.value, math.pi)
        self.assertEqual(bin(struct.pack("d", math.pi)), bin(s))
        s = c_double.__ctype_le__(math.pi)
        self.assertEqual(s.value, math.pi)
        self.assertEqual(bin(struct.pack("<d", math.pi)), bin(s))
        s = c_double.__ctype_be__(math.pi)
        self.assertEqual(s.value, math.pi)
        self.assertEqual(bin(struct.pack(">d", math.pi)), bin(s)) 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import byteorder [as 別名]
def test_struct_fields_2(self):
        # standard packing in struct uses no alignment.
        # So, we have to align using pad bytes.
        #
        # Unaligned accesses will crash Python (on those platforms that
        # don't allow it, like sparc solaris).
        if sys.byteorder == "little":
            base = BigEndianStructure
            fmt = ">bxhid"
        else:
            base = LittleEndianStructure
            fmt = "<bxhid"

        class S(base):
            _fields_ = [("b", c_byte),
                        ("h", c_short),
                        ("i", c_int),
                        ("d", c_double)]

        s1 = S(0x12, 0x1234, 0x12345678, 3.14)
        s2 = struct.pack(fmt, 0x12, 0x1234, 0x12345678, 3.14)
        self.assertEqual(bin(s1), bin(s2)) 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import byteorder [as 別名]
def get_user_data(host_key=None, commands=None, packages=None, rootfs_skel_dirs=None, storage=frozenset(),
                  mime_multipart_archive=False, ssh_ca_keys=None, provision_users=None, **kwargs):
    cloud_config_data = OrderedDict()
    for i, (mountpoint, size_gb) in enumerate(storage):
        cloud_config_data.setdefault("fs_setup", [])
        cloud_config_data.setdefault("mounts", [])
        device = "/dev/xvd" + chr(ord("z") - i)
        fs_spec = dict(device=device, filesystem="ext4", partition="none")
        cloud_config_data["fs_setup"].append(fs_spec)
        cloud_config_data["mounts"].append([device, mountpoint, "auto", "defaults", "0", "2"])
    cloud_config_data["packages"] = packages or []
    cloud_config_data["runcmd"] = commands or []
    cloud_config_data["write_files"] = get_bootstrap_files(rootfs_skel_dirs or [])
    if ssh_ca_keys:
        cloud_config_data["write_files"] += [dict(path="/etc/ssh/sshd_ca.pem", permissions='0644', content=ssh_ca_keys)]
        cloud_config_data["runcmd"].append("grep -q TrustedUserCAKeys /etc/ssh/sshd_config || "
                                           "(echo 'TrustedUserCAKeys /etc/ssh/sshd_ca.pem' >> /etc/ssh/sshd_config;"
                                           " service sshd reload)")
    if provision_users:
        # TODO: UIDs should be deterministic
        # uid_bytes = hashlib.sha256(username.encode()).digest()[-2:]
        # uid = 2000 + (int.from_bytes(uid_bytes, byteorder=sys.byteorder) // 2)
        cloud_config_data["users"] = [dict(name=u, gecos="", sudo="ALL=(ALL) NOPASSWD:ALL") for u in provision_users]
    for key in sorted(kwargs):
        cloud_config_data[key] = kwargs[key]
    if host_key is not None:
        buf = StringIO()
        host_key.write_private_key(buf)
        cloud_config_data["ssh_keys"] = dict(rsa_private=buf.getvalue(),
                                             rsa_public=get_public_key_from_pair(host_key))
    payload = encode_cloud_config_payload(cloud_config_data, mime_multipart_archive=mime_multipart_archive)
    if len(payload) >= 16384:
        logger.warn("Cloud-init payload is too large to be passed in user data, extracting rootfs.skel")
        upload_bootstrap_asset(cloud_config_data, rootfs_skel_dirs)
        payload = encode_cloud_config_payload(cloud_config_data, mime_multipart_archive=mime_multipart_archive)
    return payload 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import byteorder [as 別名]
def bytes_to_int(bytesHash):
    return int.from_bytes(bytesHash, byteorder=byteorder) 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import byteorder [as 別名]
def __init__(self, arch=None, bits=None, endian=None, mode=0):
        if arch is None:
            arch = self._DEFAULT_ARCH.get(platform.machine(), Target.Arch.unknown)

            if bits is None:
                bits = Target.Bits(64 if platform.architecture()[0] == '64bit' else 32)

            if endian is None:
                endian = Target.Endian.__members__[sys.byteorder]

        self.arch = arch
        self.bits = bits
        self.endian = endian
        self.mode = mode 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import byteorder [as 別名]
def read_data_block(encoding, endian, ordering, datatype, shape, data):
    """ Tries to unzip, decode, parse the funny string data """
    ord = array_index_order_codes.npcode[ordering]
    enclabel = gifti_encoding_codes.label[encoding]
    if enclabel == 'ASCII':
        # GIFTI_ENCODING_ASCII
        c = StringIO(data)
        da = np.loadtxt(c)
        da = da.astype(data_type_codes.type[datatype])
        # independent of the endianness
        return da
    elif enclabel == 'B64BIN':
        # GIFTI_ENCODING_B64BIN
        dec = base64.decodestring(data.encode('ascii'))
        dt = data_type_codes.type[datatype]
        sh = tuple(shape)
        newarr = np.fromstring(dec, dtype = dt)
        if len(newarr.shape) != len(sh):
            newarr = newarr.reshape(sh, order = ord)
    elif enclabel == 'B64GZ':
        # GIFTI_ENCODING_B64GZ
        # convert to bytes array for python 3.2
        # http://diveintopython3.org/strings.html#byte-arrays
        dec = base64.decodestring(data.encode('ascii'))
        zdec = zlib.decompress(dec)
        dt = data_type_codes.type[datatype]
        sh = tuple(shape)
        newarr = np.fromstring(zdec, dtype = dt)
        if len(newarr.shape) != len(sh):
            newarr = newarr.reshape(sh, order = ord)
    elif enclabel == 'External':
        # GIFTI_ENCODING_EXTBIN
        raise NotImplementedError("In what format are the external files?")
    else:
        return 0
    # check if we need to byteswap
    required_byteorder = gifti_endian_codes.byteorder[endian]
    if (required_byteorder in ('big', 'little') and
        required_byteorder != sys.byteorder):
        newarr = newarr.byteswap()
    return newarr 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import byteorder [as 別名]
def flush_chardata(self):
        """ Collate and process collected character data
        """
        if self._char_blocks is None:
            return
        # Just join the strings to get the data.  Maybe there are some memory
        # optimizations we could do by passing the list of strings to the
        # read_data_block function.
        data = ''.join(self._char_blocks)
        # Reset the char collector
        self._char_blocks = None
        # Process data
        if self.write_to == 'Name':
            data = data.strip()
            self.nvpair.name = data
        elif self.write_to == 'Value':
            data = data.strip()
            self.nvpair.value = data
        elif self.write_to == 'DataSpace':
            data = data.strip()
            self.coordsys.dataspace = xform_codes.code[data]
        elif self.write_to == 'TransformedSpace':
            data = data.strip()
            self.coordsys.xformspace = xform_codes.code[data]
        elif self.write_to == 'MatrixData':
            # conversion to numpy array
            c = StringIO(data)
            self.coordsys.xform = np.loadtxt(c)
            c.close()
        elif self.write_to == 'Data':
            da_tmp = self.img.darrays[-1]
            da_tmp.data = read_data_block(da_tmp.encoding, da_tmp.endian, \
                                          da_tmp.ind_ord, da_tmp.datatype, \
                                          da_tmp.dims, data)
            # update the endianness according to the
            # current machine setting
            self.endian = gifti_endian_codes.code[sys.byteorder]
        elif self.write_to == 'Label':
            self.label.label = data.strip() 

# 需要導入模塊: import sys [as 別名]
# 或者: from sys import byteorder [as 別名]
def test_to_numpy():
    if sys.byteorder == 'little':
        yield assert_true, endian_codes['native'] == '<'
        yield assert_true, endian_codes['swapped'] == '>'
    else:
        yield assert_true, endian_codes['native'] == '>'
        yield assert_true, endian_codes['swapped'] == '<'
    yield assert_true, endian_codes['native'] == endian_codes['=']
    yield assert_true, endian_codes['big'] == '>'
    for code in ('little', '<', 'l', 'L', 'le'):
        yield assert_true, endian_codes[code] == '<'
    for code in ('big', '>', 'b', 'B', 'be'):
        yield assert_true, endian_codes[code] == '>'