The Utilities API¶
-
class
tango.utils.
EventCallback
(format='{date} {dev_name} {name} {type} {value}', fd=<_io.TextIOWrapper name='<stdout>' mode='w' encoding='utf-8'>, max_buf=100)¶ Useful event callback for test purposes
Usage:
>>> dev = tango.DeviceProxy(dev_name) >>> cb = tango.utils.EventCallback() >>> id = dev.subscribe_event("state", tango.EventType.CHANGE_EVENT, cb, []) 2011-04-06 15:33:18.910474 sys/tg_test/1 STATE CHANGE [ATTR_VALID] ON
Allowed format keys are:
date (event timestamp)
reception_date (event reception timestamp)
type (event type)
dev_name (device name)
name (attribute name)
value (event value)
New in PyTango 7.1.4
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get_events
()¶ Returns the list of events received by this callback
- Returns
the list of events received by this callback
- Return type
sequence<obj>
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push_event
(evt)¶ Internal usage only
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tango.utils.
get_enum_labels
(enum_cls)¶ Return list of enumeration labels from Enum class.
The list is useful when creating an attribute, for the enum_labels parameter. The enumeration values are checked to ensure they are unique, start at zero, and increment by one.
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tango.utils.
is_pure_str
(obj)¶ Tells if the given object is a python string.
In python 2.x this means any subclass of basestring. In python 3.x this means any subclass of str.
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tango.utils.
is_seq
(obj)¶ Tells if the given object is a python sequence.
It will return True for any collections.Sequence (list, tuple, str, bytes, unicode), bytearray and (if numpy is enabled) numpy.ndarray
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tango.utils.
is_non_str_seq
(obj)¶ Tells if the given object is a python sequence (excluding string sequences).
It will return True for any collections.Sequence (list, tuple (and bytes in python3)), bytearray and (if numpy is enabled) numpy.ndarray
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tango.utils.
is_integer
(obj)¶ Tells if the given object is a python integer.
It will return True for any int, long (in python 2) and (if numpy is enabled) numpy.integer
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tango.utils.
is_number
(obj)¶ Tells if the given object is a python number.
It will return True for any numbers.Number and (if numpy is enabled) numpy.number
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tango.utils.
is_bool
(tg_type, inc_array=False)¶ Tells if the given tango type is boolean
- Parameters
tg_type (
tango.CmdArgType
) – tango typeinc_array (
bool
) – (optional, default is False) determines if include array in the list of checked types
- Returns
True if the given tango type is boolean or False otherwise
- Return type
-
tango.utils.
is_scalar_type
(tg_type)¶ Tells if the given tango type is a scalar
- Parameters
tg_type (
tango.CmdArgType
) – tango type- Returns
True if the given tango type is a scalar or False otherwise
- Return type
-
tango.utils.
is_array_type
(tg_type)¶ Tells if the given tango type is an array type
- Parameters
tg_type (
tango.CmdArgType
) – tango type- Returns
True if the given tango type is an array type or False otherwise
- Return type
-
tango.utils.
is_numerical_type
(tg_type, inc_array=False)¶ Tells if the given tango type is numerical
- Parameters
tg_type (
tango.CmdArgType
) – tango typeinc_array (
bool
) – (optional, default is False) determines if include array in the list of checked types
- Returns
True if the given tango type is a numerical or False otherwise
- Return type
-
tango.utils.
is_int_type
(tg_type, inc_array=False)¶ Tells if the given tango type is integer
- Parameters
tg_type (
tango.CmdArgType
) – tango typeinc_array (
bool
) – (optional, default is False) determines if include array in the list of checked types
- Returns
True if the given tango type is integer or False otherwise
- Return type
-
tango.utils.
is_float_type
(tg_type, inc_array=False)¶ Tells if the given tango type is float
- Parameters
tg_type (
tango.CmdArgType
) – tango typeinc_array (
bool
) – (optional, default is False) determines if include array in the list of checked types
- Returns
True if the given tango type is float or False otherwise
- Return type
-
tango.utils.
is_bool_type
(tg_type, inc_array=False)¶ Tells if the given tango type is boolean
- Parameters
tg_type (
tango.CmdArgType
) – tango typeinc_array (
bool
) – (optional, default is False) determines if include array in the list of checked types
- Returns
True if the given tango type is boolean or False otherwise
- Return type
-
tango.utils.
is_binary_type
(tg_type, inc_array=False)¶ Tells if the given tango type is binary
- Parameters
tg_type (
tango.CmdArgType
) – tango typeinc_array (
bool
) – (optional, default is False) determines if include array in the list of checked types
- Returns
True if the given tango type is binary or False otherwise
- Return type
-
tango.utils.
is_str_type
(tg_type, inc_array=False)¶ Tells if the given tango type is string
- Parameters
tg_type (
tango.CmdArgType
) – tango typeinc_array (
bool
) – (optional, default is False) determines if include array in the list of checked types
- Returns
True if the given tango type is string or False otherwise
- Return type
-
tango.utils.
obj_2_str
(obj, tg_type=None)¶ Converts a python object into a string according to the given tango type
- Parameters
obj (
object
) – the object to be convertedtg_type (
tango.CmdArgType
) – tango type
- Returns
a string representation of the given object
- Return type
-
tango.utils.
seqStr_2_obj
(seq, tg_type, tg_format=None)¶ Translates a sequence<str> to a sequence of objects of give type and format
- Parameters
seq (sequence<str>) – the sequence
tg_type (
tango.CmdArgType
) – tango typetg_format (
tango.AttrDataFormat
) – (optional, default is None, meaning SCALAR) tango format
- Returns
a new sequence
-
tango.utils.
scalar_to_array_type
(tg_type)¶ Gives the array tango type corresponding to the given tango scalar type. Example: giving DevLong will return DevVarLongArray.
- Parameters
tg_type (
tango.CmdArgType
) – tango type- Returns
the array tango type for the given scalar tango type
- Return type
- Raises
ValueError – in case the given dtype is not a tango scalar type
-
tango.utils.
get_home
()¶ Find user’s home directory if possible. Otherwise raise error.
- Returns
user’s home directory
- Return type
New in PyTango 7.1.4
-
tango.utils.
requires_pytango
(min_version=None, conflicts=(), software_name='Software')¶ Determines if the required PyTango version for the running software is present. If not an exception is thrown. Example usage:
from tango import requires_pytango requires_pytango('7.1', conflicts=['8.1.1'], software='MyDS')
- Parameters
min_version (None, str,
LooseVersion
) – minimum PyTango version [default: None, meaning no minimum required]. If a string is given, it must be in the valid version number format (see:LooseVersion
)conflics (seq<str|LooseVersion>) – a sequence of PyTango versions which conflict with the software using it
software_name (str) – software name using tango. Used in the exception message
- Raises
Exception – if the required PyTango version is not met
New in PyTango 8.1.4
-
tango.utils.
requires_tango
(min_version=None, conflicts=(), software_name='Software')¶ Determines if the required Tango version for the running software is present. If not an exception is thrown. Example usage:
from tango import requires_tango requires_tango('7.1', conflicts=['8.1.1'], software='MyDS')
- Parameters
min_version (None, str,
LooseVersion
) – minimum Tango version [default: None, meaning no minimum required]. If a string is given, it must be in the valid version number format (see:LooseVersion
)conflics (seq<str|LooseVersion>) – a sequence of Tango versions which conflict with the software using it
software_name (str) – software name using Tango. Used in the exception message
- Raises
Exception – if the required Tango version is not met
New in PyTango 8.1.4