def getValue(self):
text = self.text()
model_obj = self.getModelObj()
if model_obj is None:
return None
val = self.validator()
try:
model_type = model_obj.type
model_format = model_obj.data_format
if model_type in [DataType.Integer, DataType.Float]:
try:
q = Quantity(text)
# allow implicit units (assume wvalue.units implicitly)
if q.dimensionless:
q = Quantity(q.magnitude, val.units)
return q
except:
return None
elif model_type == DataType.Boolean:
if model_format == DataFormat._0D:
return bool(int(eval(text)))
else:
return numpy.array(eval(text), dtype=int).astype(bool)
elif model_type == DataType.String:
if model_format == DataFormat._0D:
return str(text)
else:
return numpy.array(eval(text), dtype=str).tolist()
elif model_type == DataType.Bytes:
return bytes(text)
else:
raise TypeError('Unsupported model type "%s"', model_type)
except Exception, e:
self.warning('Cannot return value for "%s". Reason: %r', text, e)
return None
def get_quantity(value, units=None, fmt=None):
if value is None:
return None
res = Quantity(value, units=units)
if fmt is not None:
res.default_format = fmt + res.default_format
return res
def get_quantity(value, units=None, fmt=None):
if value is None:
return None
res = Quantity(value, units=units)
if fmt is not None:
res.default_format = fmt + res.default_format
return res
def _getDecodePyTangoAttr(self, attr_name, cfg):
"""Helper for decode the PyTango attribute infoex
"""
dev = PyTango.DeviceProxy(self.DEV_NAME)
infoex = dev.get_attribute_config_ex(attr_name)[0]
unit = unit_from_tango(infoex.unit)
if cfg in ['range', 'alarms', 'warnings']:
if cfg == 'range':
low = infoex.min_value
high = infoex.max_value
elif cfg == 'alarms':
low = infoex.alarms.min_alarm
high = infoex.alarms.max_alarm
elif cfg == 'warnings':
low = infoex.alarms.min_warning
high = infoex.alarms.max_warning
if low == 'Not specified':
low = '-inf'
if high == 'Not specified':
high = 'inf'
return [Quantity(float(low), unit), Quantity(float(high), unit)]
elif cfg == 'label':
return infoex.label
else:
return None
def __init__(self, attr=None, pytango_dev_attr=None, config=None):
# config parameter is kept for backwards compatibility only
TaurusAttrValue.__init__(self)
if config is not None:
from taurus.core.util.log import deprecated
deprecated(dep='"config" kwarg', alt='"attr"', rel='4.0')
attr = config
if attr is None:
self._attrRef = None
else:
self._attrRef = weakref.proxy(attr)
self.config = self._attrRef # bck-compat
self._pytango_dev_attr = p = pytango_dev_attr
if p is None:
self._pytango_dev_attr = p = PyTango.DeviceAttribute()
return
if self._attrRef is None:
return
numerical = (PyTango.is_numerical_type(self._attrRef._tango_data_type,
inc_array=True)
or p.type == PyTango.CmdArgType.DevUChar)
if p.has_failed:
self.error = PyTango.DevFailed(*p.get_err_stack())
else:
# spectra and images can be empty without failing
if p.is_empty and self._attrRef.data_format != DataFormat._0D:
dtype = FROM_TANGO_TO_NUMPY_TYPE.get(
self._attrRef._tango_data_type)
if self._attrRef.data_format == DataFormat._1D:
shape = (0, )
elif self._attrRef.data_format == DataFormat._2D:
shape = (0, 0)
p.value = numpy.empty(shape, dtype=dtype)
if not (numerical or self._attrRef.type == DataType.Boolean):
# generate a nested empty list of given shape
p.value = []
for _ in xrange(len(shape) - 1):
p.value = [p.value]
rvalue = p.value
wvalue = p.w_value
if numerical:
units = self._attrRef._units
if rvalue is not None:
rvalue = Quantity(rvalue, units=units)
if wvalue is not None:
wvalue = Quantity(wvalue, units=units)
elif isinstance(rvalue, PyTango._PyTango.DevState):
rvalue = DevState[str(rvalue)]
self.rvalue = rvalue
self.wvalue = wvalue
self.time = p.time # TODO: decode this into a TaurusTimeVal
self.quality = quality_from_tango(p.quality)
def __decode_limit(self, l, h):
units = self.__pv.units
if l is None or numpy.isnan(l):
l = None
else:
l = Quantity(l, units)
if l is None or numpy.isnan(h):
h = None
else:
h = Quantity(h, units)
return [l, h]
def _value2Quantity(value, units):
'''
Creates a Quantity from value and forces units if the vaule is unitless
:param value: (int, float or str) a number or a string from which a quantity
can be created
:param units: (str or Pint units) Units to use if the value is unitless
:return: (Quantity)
'''
q = Quantity(value)
if q.unitless:
q = Quantity(q, units)
return q
def applyTransformation(self):
if self._transformation is None:
return
try:
evaluator = self.getParentObj()
rvalue = evaluator.eval(self._transformation)
value_dimension = len(numpy.shape(rvalue))
value_dformat = DataFormat(value_dimension)
self.data_format = value_dformat
self.type = self._encodeType(rvalue, value_dformat)
if self.type is None:
raise TypeError("Unsupported returned type, %r" % rvalue)
if self.type in [DataType.Integer, DataType.Float] and\
not isinstance(rvalue, Quantity):
self.debug("Transformation converted to Quantity")
rvalue = Quantity(rvalue)
elif self.type == DataType.Boolean and value_dimension > 1:
self.debug("Transformation converted to numpy.array")
rvalue = numpy.array(rvalue)
self._value.rvalue = rvalue
self._value.time = TaurusTimeVal.now()
self._value.quality = AttrQuality.ATTR_VALID
except Exception, e:
self._value.quality = AttrQuality.ATTR_INVALID
msg = " the function '%s' could not be evaluated. Reason: %s" \
% (self._transformation, repr(e))
self.warning(msg)
def test1():
n = 'eval:@c=taurus.core.evaluation.test.res.mymod.MyClass(987)/c.foo'
a = taurus.Attribute(n)
print "READ 1: ", a.read()
# print a.range
print "WRITE+READ", a.write(Quantity(999, "m"))
print "READ 2: ", a.read(cache=False)
def setAlarms(self, *limits):
if isinstance(limits[0], list):
limits = limits[0]
low, high = limits
low = Quantity(low)
high = Quantity(high)
TaurusAttribute.setAlarms(self, [low, high])
infoex = self._pytango_attrinfoex
if low.magnitude != float("-inf"):
infoex.alarms.min_alarm = str(low.to(self._units).magnitude)
else:
infoex.alarms.min_alarm = "Not specified"
if high.magnitude != float("inf"):
infoex.alarms.max_alarm = str(high.to(self._units).magnitude)
else:
infoex.alarms.max_alarm = "Not specified"
self._applyConfig()
def setTop(self, top):
"""
Set maximum limit
:param top: (Quantity or None) maximum acceptable value or None if it is
not to be enforced
"""
self._top = Quantity(top)
def setBottom(self, bottom):
"""
Set minimum limit
:param bottom: (Quantity or None) minimum acceptable value or None if it
is not to be enforced
"""
self._bottom = Quantity(bottom)
def _getSingleStepQuantity(self):
"""
:return: (Quantity) returns a single step with the units of the current
value
"""
value = self.getValue()
if value is None:
return None
return Quantity(self.getSingleStep(), value.units)
def getValue(self):
text = self.text()
model_obj = self.getModelObj()
if model_obj is None:
return None
val = self.validator()
try:
model_type = model_obj.type
model_format = model_obj.data_format
if model_type in [DataType.Integer, DataType.Float]:
try:
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# workaround for https://github.com/hgrecco/pint/issues/614
text = text.lstrip('0') or '0'
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
q = Quantity(text)
# allow implicit units (assume wvalue.units implicitly)
if q.unitless:
q = Quantity(q.magnitude, val.units)
return q
except:
return None
elif model_type == DataType.Boolean:
if model_format == DataFormat._0D:
return bool(int(eval(text)))
else:
return numpy.array(eval(text), dtype=int).astype(bool)
elif model_type == DataType.String:
if model_format == DataFormat._0D:
return str(text)
else:
return numpy.array(eval(text), dtype=str).tolist()
elif model_type == DataType.Bytes:
return bytes(text)
else:
raise TypeError('Unsupported model type "%s"' % model_type)
except Exception as e:
msg = 'Cannot return value for "%s". Reason: %r'
if text in (str(None), self.getNoneValue()):
self.debug(msg, text, e)
else:
self.warning(msg, text, e)
return None
def setAlarms(self, *limits):
if isinstance(limits[0], list):
limits = limits[0]
low, high = limits
low = Quantity(low)
if low.unitless:
low = Quantity(low.magnitude, self._units)
high = Quantity(high)
if high.unitless:
high = Quantity(high.magnitude, self._units)
TaurusAttribute.setAlarms(self, [low, high])
infoex = self._pytango_attrinfoex
if low.magnitude != float('-inf'):
infoex.alarms.min_alarm = str(low.to(self._units).magnitude)
else:
infoex.alarms.min_alarm = 'Not specified'
if high.magnitude != float('inf'):
infoex.alarms.max_alarm = str(high.to(self._units).magnitude)
else:
infoex.alarms.max_alarm = 'Not specified'
self._applyConfig()
def getFreeSpace(self, dir):
""" return free space (in bytes).
(Recipe adapted from `http://stackoverflow.com/questions/51658`)
"""
if platform.system() == 'Windows':
free_bytes = ctypes.c_ulonglong(0)
ctypes.windll.kernel32.GetDiskFreeSpaceExW(
ctypes.c_wchar_p(dir), None, None, ctypes.pointer(free_bytes))
ret = free_bytes.value
else:
s = os.statvfs(dir)
ret = s.f_bsize * s.f_bavail
return Quantity(ret, 'B')
def _validate(self, input, pos):
"""Reimplemented from :class:`QValidator` to validate if the input
string is a representation of a quantity within the set bottom and top
limits
"""
try:
q = Quantity(input)
except:
return Qt.QValidator.Intermediate, input, pos
if self._implicit_units is not None:
if q.dimensionless:
# "cast" to implicit units
q = Quantity(q.magnitude, self.units)
# check coherence with implicit units
elif self._implicit_units.dimensionality != q.dimensionality:
return Qt.QValidator.Intermediate, input, pos
try:
if self.bottom is not None and q < self.bottom:
return Qt.QValidator.Intermediate, input, pos
if self.top is not None and q > self.top:
return Qt.QValidator.Intermediate, input, pos
except DimensionalityError:
return Qt.QValidator.Intermediate, input, pos
return Qt.QValidator.Acceptable, input, pos
def decode(self, pv):
"""Decodes an epics PV object into a TaurusValue, and also updates other
properties of the Attribute object
"""
attr_value = TaurusAttrValue()
if not pv.connected:
attr_value.error = ChannelAccessException('PV "%s" not connected' %
pv.pvname)
return attr_value
v = pv.value
# type
try:
self.type = Dbr2TaurusType[pv.ftype]
except KeyError:
raise ValueError('Unsupported epics type "%s"' % pv.type)
# writable
self.writable = pv.write_access
# data_format
if numpy.isscalar(v):
self.data_format = DataFormat._0D
else:
self.data_format = DataFormat(len(numpy.shape(v)))
# units and limits support
if self.type in (DataType.Integer, DataType.Float):
v = Quantity(v, pv.units)
self._range = self.__decode_limit(pv.lower_ctrl_limit,
pv.upper_ctrl_limit)
self._alarm = self.__decode_limit(pv.lower_alarm_limit,
pv.upper_alarm_limit)
self._warning = self.__decode_limit(pv.lower_warning_limit,
pv.upper_warning_limit)
# rvalue
attr_value.rvalue = v
# wvalue
if pv.write_access:
attr_value.wvalue = v
# time
if pv.timestamp is None:
attr_value.time = TaurusTimeVal.now()
else:
attr_value.time = TaurusTimeVal.fromtimestamp(pv.timestamp)
# quality
if pv.severity > 0:
attr_value.quality = AttrQuality.ATTR_ALARM
else:
attr_value.quality = AttrQuality.ATTR_VALID
return attr_value
def _set_value(self, value):
'''for backwards compat with taurus < 4'''
debug('Setting %r to %s' % (value, self.name))
if self.rvalue is None: # we do not have a previous rvalue
import numpy
dtype = numpy.array(value).dtype
if numpy.issubdtype(dtype, int) or numpy.issubdtype(dtype, float):
msg = 'Refusing to set ambiguous value (deprecated .value API)'
raise ValueError(msg)
else:
self.rvalue = value
elif hasattr(self.rvalue, 'units'): # we do have it and is a Quantity
self.rvalue = Quantity(value, units=self.rvalue.units)
else: # we do have a previous value and is not a quantity
self.rvalue = value
def __assertValidValue(self, exp, got, msg):
# if we are dealing with quantities, use the magnitude for comparing
if isinstance(got, Quantity):
got = got.to(Quantity(exp).units).magnitude
if isinstance(exp, Quantity):
exp = exp.magnitude
try:
# for those values that can be handled by numpy.allclose()
chk = numpy.allclose(got, exp)
except:
# for the rest
if isinstance(got, numpy.ndarray):
got = got.tolist()
chk = bool(got == exp)
self.assertTrue(chk, msg)
def _decodeAttrInfoEx(self, pytango_attrinfoex=None):
if pytango_attrinfoex is None:
self._pytango_attrinfoex = PyTango.AttributeInfoEx()
else:
self._pytango_attrinfoex = i = pytango_attrinfoex
self.writable = i.writable != PyTango.AttrWriteType.READ
self._label = i.label
self.data_format = data_format_from_tango(i.data_format)
desc = description_from_tango(i.description)
if desc != "":
self._description = desc
self.type = data_type_from_tango(i.data_type)
###############################################################
# changed in taurus4: range, alarm and warning now return
# quantities if appropriate
units = self._unit_from_tango(i.unit)
if PyTango.is_numerical_type(i.data_type, inc_array=True):
Q_ = partial(quantity_from_tango_str,
units=units,
dtype=i.data_type)
ninf, inf = float('-inf'), float('inf')
min_value = Q_(i.min_value) or Quantity(ninf, units)
max_value = Q_(i.max_value) or Quantity(inf, units)
min_alarm = Q_(i.alarms.min_alarm) or Quantity(ninf, units)
max_alarm = Q_(i.alarms.max_alarm) or Quantity(inf, units)
min_warning = Q_(i.alarms.min_warning) or Quantity(ninf, units)
max_warning = Q_(i.alarms.max_warning) or Quantity(inf, units)
self._range = [min_value, max_value]
self._warning = [min_warning, max_warning]
self._alarm = [min_alarm, max_alarm]
###############################################################
# The following members will be accessed via __getattr__
# self.standard_unit
# self.display_unit
# self.disp_level
###############################################################
# Tango-specific extension of TaurusConfigValue
self.display_level = display_level_from_tango(i.disp_level)
self.tango_writable = i.writable
self.max_dim = i.max_dim_x, i.max_dim_y
###############################################################
fmt = standard_display_format_from_tango(i.data_type, i.format)
self.format_spec = fmt.lstrip('%') # format specifier
match = re.search("[^\.]*\.(?P<precision>[0-9]+)[eEfFgG%]", fmt)
if match:
self.precision = int(match.group(1))
# self._units and self._display_format is to be used by
# TangoAttrValue for performance reasons. Do not rely on it in other
# code
self._units = units
def decode(self, data_frame):
"""
Decode the DataFrame to the corresponding python attribute
:param data_frame: (pandas.DataFrame)
:return: taurus valid type
"""
columns_count = len(data_frame.columns)
attr_value_np = data_frame.as_matrix()
if columns_count < 2:
attr_value_np = attr_value_np.reshape(-1)
if len(attr_value_np) == 1:
self.data_format = DataFormat._0D
attr_value_np = attr_value_np[0]
else:
self.data_format = DataFormat._1D
else:
if len(attr_value_np) == 1:
self.data_format = DataFormat._1D
attr_value_np = attr_value_np[0]
else:
self.data_format = DataFormat._2D
try:
npdtype = attr_value_np.dtype.kind
self.type = self.npdtype2taurusdtype.get(npdtype)
except AttributeError:
self.type = self.npdtype2taurusdtype.get("O")
if self.isNumeric():
value = Quantity(attr_value_np, units="dimensionless")
elif self.data_format == DataFormat._0D:
value = attr_value_np
elif self.type is DataType.String or self.type is DataType.Boolean:
value = attr_value_np.tolist()
if self.type == self.npdtype2taurusdtype["O"] and columns_count >= 2:
for row_idx in range(len(value)):
for item_idx in range(len(value[row_idx])):
value[row_idx][item_idx] = str(value[row_idx][item_idx])
return value
def setRange(self, *limits):
if isinstance(limits[0], list):
limits = limits[0]
low, high = limits
low = Quantity(low)
high = Quantity(high)
TaurusAttribute.setRange(self, [low, high])
infoex = self._pytango_attrinfoex
if low.magnitude != float('-inf'):
infoex.min_value = str(low.to(self._units).magnitude)
else:
infoex.min_value = 'Not specified'
if high.magnitude != float('inf'):
infoex.max_value = str(high.to(self._units).magnitude)
else:
infoex.max_value = 'Not specified'
self._applyConfig()
def applyTransformation(self):
if self._transformation is None:
return
try:
evaluator = self.getParentObj()
rvalue = evaluator.eval(self._transformation)
# ---------------------------------------------------------
# Workaround for https://github.com/hgrecco/pint/issues/509
# The numpy.shape method over a Quantity mutates
# the type of its magnitude.
# TODO: remove "if" when the bug is solved in pint
if hasattr(rvalue, "magnitude"):
value_dimension = len(numpy.shape(rvalue.magnitude))
else:
value_dimension = len(numpy.shape(rvalue))
# ---------------------------------------------------------
value_dformat = DataFormat(value_dimension)
self.data_format = value_dformat
self.type = self._encodeType(rvalue, value_dformat)
if self.type is None:
raise TypeError("Unsupported returned type, %r" % rvalue)
if self.type in [DataType.Integer, DataType.Float] and\
not isinstance(rvalue, Quantity):
self.debug("Transformation converted to Quantity")
rvalue = Quantity(rvalue)
elif self.type == DataType.Boolean and value_dimension > 1:
self.debug("Transformation converted to numpy.array")
rvalue = numpy.array(rvalue)
self._value.rvalue = rvalue
self._value.time = TaurusTimeVal.now()
self._value.quality = AttrQuality.ATTR_VALID
except Exception, e:
self._value.quality = AttrQuality.ATTR_INVALID
msg = " the function '%s' could not be evaluated. Reason: %s" \
% (self._transformation, repr(e))
self.warning(msg)
"""Test for epicsattributes..."""
import os
import numpy
import subprocess
from taurus.external import unittest
from taurus.external.pint import Quantity
import taurus
from taurus.test import insertTest, getResourcePath
from taurus.core.taurusbasetypes import DataType, AttrQuality, DataFormat
from taurus.core.taurusbasetypes import TaurusAttrValue
@insertTest(helper_name='write_read_attr',
attrname='ca:test:a',
setvalue=Quantity('1000mm'),
expected=dict(rvalue=Quantity('1m'),
type=DataType.Float,
writable=True,
data_format=DataFormat._0D,
range=[Quantity('-10m'), Quantity('10m')],
alarms=[None, None],
warnings=[None, None],
),
expected_attrv=dict(rvalue=Quantity('1m'),
wvalue=Quantity('1m'),
quality=AttrQuality.ATTR_VALID,
error=None,
),
)
class AttributeTestCase(unittest.TestCase):
import numpy
import taurus
from taurus.core import TaurusAttrValue, DataType
from taurus.external import unittest
from taurus.external.pint import Quantity
from taurus.test import insertTest
BASE_DIR = os.path.dirname(os.path.realpath(__file__))
# =========================================================================
# Tests of return types
# =========================================================================
@insertTest(helper_name="read_attr",
attr_fullname='pds-csv:{}/res/file-csv::["int1"]'.format(BASE_DIR),
expected=dict(rvalue=Quantity([1, 2, 3], 'dimensionless'),
type=DataType.Integer),
expected_dim=1)
@insertTest(helper_name="read_attr",
attr_fullname='pds-csv:%s/res/file-csv::{"usecols":["int1"]}' %
BASE_DIR,
expected=dict(rvalue=Quantity([1, 2, 3], 'dimensionless'),
type=DataType.Integer),
expected_dim=1)
@insertTest(helper_name="read_attr",
attr_fullname='pds-csv:%s/res/file-csv::["int1"],'
'{"usecols":["int1"]}' % BASE_DIR,
expected=dict(rvalue=Quantity([1, 2, 3], 'dimensionless'),
type=DataType.Integer),
expected_dim=1)
@insertTest(helper_name="read_attr",
import os
import sys
import numpy
import subprocess
from taurus.external import unittest
from taurus.external.pint import Quantity
import taurus
from taurus.test import insertTest, getResourcePath
from taurus.core.taurusbasetypes import DataType, AttrQuality, DataFormat
from taurus.core.taurusbasetypes import TaurusAttrValue
@insertTest(helper_name='write_read_attr',
attrname='ca:test:a',
setvalue=Quantity('1000mm'),
expected=dict(
rvalue=Quantity('1m'),
type=DataType.Float,
writable=True,
data_format=DataFormat._0D,
range=[Quantity('-10m'), Quantity('10m')],
alarms=[None, None],
warnings=[None, None],
),
expected_attrv=dict(
rvalue=Quantity('1m'),
wvalue=Quantity('1m'),
quality=AttrQuality.ATTR_VALID,
error=None,
))
_FLOAT_SPE = _INT_SPE * .1
_BOOL_IMG = numpy.array([[True, False], [False, True]])
_BOOL_SPE = [True, False]
_STR = 'foo BAR |-+#@!?_[]{}'
_UINT8_IMG = numpy.array([[1, 2], [3, 4]], dtype='uint8')
_UINT8_SPE = _UINT8_IMG[1, :]
# ==============================================================================
# Test writing fragment values
@insertTest(helper_name='write_read_conf',
attr_name='short_scalar_nu',
cfg='range',
value=[float('-inf'), float('inf')],
expected=[Quantity(float('-inf')),
Quantity(float('inf'))])
@insertTest(helper_name='write_read_conf',
attr_name='short_scalar_nu',
cfg='range',
value=[Quantity(float('-inf')),
Quantity(float('inf'))],
expected=[Quantity(float('-inf')),
Quantity(float('inf'))])
@insertTest(helper_name='write_read_conf',
attr_name='short_scalar_nu',
cfg='range',
value=[100, 300],
expected=[Quantity(100), Quantity(300)])
@insertTest(helper_name='write_read_conf',
attr_name='short_scalar_nu',
expected=dict(rvalue=8,
value=8,
wvalue=None,
w_value=None,
type=DataType.Integer))
@insertTest(helper_name='read_attr',
name='eval:"split.split".split("split")',
expected=dict(rvalue=['', '.', ''],
value=['', '.', ''],
wvalue=None,
w_value=None,
label='"split.split".split("split")',
type=DataType.String))
@insertTest(helper_name='read_attr',
name='eval:Quantity(1.0)',
expected=dict(rvalue=Quantity(1.0),
value=1.0,
w_value=None,
wvalue=None,
label='Quantity(1.0)',
type=DataType.Float,
data_format=DataFormat._0D))
@insertTest(helper_name='read_attr',
name='eval:Quantity("1km")',
expected=dict(rvalue=Quantity(1000, 'm'),
value=1,
w_value=None,
wvalue=None,
label='Quantity("1km")',
type=DataType.Integer,
data_format=DataFormat._0D))
def __init__(self, attr=None, pytango_dev_attr=None, config=None):
# config parameter is kept for backwards compatibility only
TaurusAttrValue.__init__(self)
if config is not None:
from taurus.core.util.log import deprecated
deprecated(dep='"config" kwarg', alt='"attr"', rel="4.0")
attr = config
if attr is None:
self._attrRef = None
else:
self._attrRef = weakref.proxy(attr)
self.config = self._attrRef # bck-compat
self._pytango_dev_attr = p = pytango_dev_attr
if p is None:
self._pytango_dev_attr = p = PyTango.DeviceAttribute()
return
if self._attrRef is None:
return
numerical = PyTango.is_numerical_type(self._attrRef._tango_data_type, inc_array=True)
if p.has_failed:
self.error = PyTango.DevFailed(*p.get_err_stack())
else:
if p.is_empty: # spectra and images can be empty without failing
dtype = FROM_TANGO_TO_NUMPY_TYPE.get(self._attrRef._tango_data_type)
if self._attrRef.data_format == DataFormat._1D:
shape = (0,)
elif self._attrRef.data_format == DataFormat._2D:
shape = (0, 0)
p.value = numpy.empty(shape, dtype=dtype)
if not (numerical or self._attrRef.type == DataType.Boolean):
# generate a nested empty list of given shape
p.value = []
for _ in xrange(len(shape) - 1):
p.value = [p.value]
rvalue = p.value
wvalue = p.w_value
if numerical:
units = self._attrRef._units
if rvalue is not None:
rvalue = Quantity(rvalue, units=units)
if wvalue is not None:
wvalue = Quantity(wvalue, units=units)
elif isinstance(rvalue, PyTango._PyTango.DevState):
rvalue = DevState[str(rvalue)]
elif p.type == PyTango.CmdArgType.DevUChar:
if self._attrRef.data_format == DataFormat._0D:
rvalue = chr(rvalue)
wvalue = chr(wvalue)
else:
rvalue = rvalue.view("S1")
wvalue = wvalue.view("S1")
self.rvalue = rvalue
self.wvalue = wvalue
self.time = p.time # TODO: decode this into a TaurusTimeVal
self.quality = quality_from_tango(p.quality)
# __all__ = []
import numpy
from taurus.external import unittest
from taurus.external.pint import Quantity
import taurus
from taurus.test import insertTest
from taurus.core.taurusbasetypes import DataType, DataFormat, AttrQuality
from taurus.core.evaluation.evalattribute import EvaluationAttrValue
@insertTest(helper_name='read_attr',
attr_fullname='eval:1',
expected=dict(
rvalue=Quantity(1, 'dimensionless'),
type=DataType.Integer,
label='1',
writable=False,
),
expected_attrv=dict(rvalue=Quantity([], 'dimensionless'),
wvalue=None),
expectedshape=None)
@insertTest(helper_name='read_attr',
attr_fullname='eval:Quantity("1m")+Quantity("2m")',
expected=dict(
rvalue=Quantity(3, 'm'),
type=DataType.Integer,
label='Quantity("1m")+Quantity("2m")',
writable=False,
),
def _stepBy(self, v):
value = self.getValue()
self.setValue(value + Quantity(v, value.units))
def __init__(self, foomag=123):
self._foo = Quantity(foomag, "m")
