/usr/lib/python2.7/dist-packages/PyTango/encoded_attribute.py is in python-pytango 8.1.1-1build3.
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The actual contents of the file can be viewed below.
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# This file is part of PyTango (http://www.tinyurl.com/PyTango)
#
# Copyright 2006-2012 CELLS / ALBA Synchrotron, Bellaterra, Spain
# Copyright 2013-2014 European Synchrotron Radiation Facility, Grenoble, France
#
# Distributed under the terms of the GNU Lesser General Public License,
# either version 3 of the License, or (at your option) any later version.
# See LICENSE.txt for more info.
# ------------------------------------------------------------------------------
"""
This is an internal PyTango module.
"""
__all__ = ["encoded_attribute_init"]
__docformat__ = "restructuredtext"
import collections
from ._PyTango import EncodedAttribute, ExtractAs, _ImageFormat
from ._PyTango import constants
from .utils import is_pure_str, is_seq
if constants.NUMPY_SUPPORT:
try:
import numpy
np = numpy
except:
np = None
else:
np = None
_allowed_extract = ExtractAs.Numpy, ExtractAs.String, ExtractAs.Tuple, \
ExtractAs.List
def __EncodedAttribute_encode_jpeg_gray8(self, gray8, width=0, height=0, quality=100.0):
"""Encode a 8 bit grayscale image as JPEG format
:param gray8: an object containning image information
:type gray8: :py:obj:`str` or :class:`numpy.ndarray` or seq< seq<element> >
:param width: image width. **MUST** be given if gray8 is a string or
if it is a :class:`numpy.ndarray` with ndims != 2.
Otherwise it is calculated internally.
:type width: :py:obj:`int`
:param height: image height. **MUST** be given if gray8 is a string
or if it is a :class:`numpy.ndarray` with ndims != 2.
Otherwise it is calculated internally.
:type height: :py:obj:`int`
:param quality: Quality of JPEG (0=poor quality 100=max quality) (default is 100.0)
:type quality: :py:obj:`float`
.. note::
When :class:`numpy.ndarray` is given:
- gray8 **MUST** be CONTIGUOUS, ALIGNED
- if gray8.ndims != 2, width and height **MUST** be given and
gray8.nbytes **MUST** match width*height
- if gray8.ndims == 2, gray8.itemsize **MUST** be 1 (typically,
gray8.dtype is one of `numpy.dtype.byte`, `numpy.dtype.ubyte`,
`numpy.dtype.int8` or `numpy.dtype.uint8`)
Example::
def read_myattr(self, attr):
enc = PyTango.EncodedAttribute()
data = numpy.arange(100, dtype=numpy.byte)
data = numpy.array((data,data,data))
enc.encode_jpeg_gray8(data)
attr.set_value(enc)
"""
self._generic_encode_gray8(gray8, width=width, height=height, quality=quality, format=_ImageFormat.JpegImage)
def __EncodedAttribute_encode_gray8(self, gray8, width=0, height=0):
"""Encode a 8 bit grayscale image (no compression)
:param gray8: an object containning image information
:type gray8: :py:obj:`str` or :class:`numpy.ndarray` or seq< seq<element> >
:param width: image width. **MUST** be given if gray8 is a string or
if it is a :class:`numpy.ndarray` with ndims != 2.
Otherwise it is calculated internally.
:type width: :py:obj:`int`
:param height: image height. **MUST** be given if gray8 is a string
or if it is a :class:`numpy.ndarray` with ndims != 2.
Otherwise it is calculated internally.
:type height: :py:obj:`int`
.. note::
When :class:`numpy.ndarray` is given:
- gray8 **MUST** be CONTIGUOUS, ALIGNED
- if gray8.ndims != 2, width and height **MUST** be given and
gray8.nbytes **MUST** match width*height
- if gray8.ndims == 2, gray8.itemsize **MUST** be 1 (typically,
gray8.dtype is one of `numpy.dtype.byte`, `numpy.dtype.ubyte`,
`numpy.dtype.int8` or `numpy.dtype.uint8`)
Example::
def read_myattr(self, attr):
enc = PyTango.EncodedAttribute()
data = numpy.arange(100, dtype=numpy.byte)
data = numpy.array((data,data,data))
enc.encode_gray8(data)
attr.set_value(enc)
"""
self._generic_encode_gray8(gray8, width=width, height=height, format=_ImageFormat.RawImage)
def __EncodedAttribute_generic_encode_gray8(self, gray8, width=0, height=0, quality=0, format=_ImageFormat.RawImage):
"""Internal usage only"""
if not is_seq(gray8):
raise TypeError("Expected sequence (str, numpy.ndarray, list, tuple "
"or bytearray) as first argument")
is_str = is_pure_str(gray8)
if is_str:
if not width or not height:
raise ValueError("When giving a string as data, you must also "
"supply width and height")
if np and isinstance(gray8, np.ndarray):
if gray8.ndim != 2:
if not width or not height:
raise ValueError("When giving a non 2D numpy array, width and "
"height must be supplied")
if gray8.nbytes != width * height:
raise ValueError("numpy array size mismatch")
else:
if gray8.itemsize != 1:
raise TypeError("Expected numpy array with itemsize == 1")
if gray8.flags.c_contiguous != True:
raise TypeError("Currently, only contiguous, aligned numpy arrays "
"are supported")
if gray8.flags.aligned != True:
raise TypeError("Currently, only contiguous, aligned numpy arrays "
"are supported")
if not is_str and (not width or not height):
height = len(gray8)
if height < 1:
raise IndexError("Expected sequence with at least one row")
row0 = gray8[0]
if not is_seq(row0):
raise IndexError("Expected sequence (str, numpy.ndarray, list, tuple or "
"bytearray) inside a sequence")
width = len(row0)
if format == _ImageFormat.RawImage:
self._encode_gray8(gray8, width, height)
elif format == _ImageFormat.JpegImage:
self._encode_jpeg_gray8(gray8, width, height, quality)
def __EncodedAttribute_encode_gray16(self, gray16, width=0, height=0):
"""Encode a 16 bit grayscale image (no compression)
:param gray16: an object containning image information
:type gray16: :py:obj:`str` or :py:obj:`buffer` or :class:`numpy.ndarray` or seq< seq<element> >
:param width: image width. **MUST** be given if gray16 is a string or
if it is a :class:`numpy.ndarray` with ndims != 2.
Otherwise it is calculated internally.
:type width: :py:obj:`int`
:param height: image height. **MUST** be given if gray16 is a string
or if it is a :class:`numpy.ndarray` with ndims != 2.
Otherwise it is calculated internally.
:type height: :py:obj:`int`
.. note::
When :class:`numpy.ndarray` is given:
- gray16 **MUST** be CONTIGUOUS, ALIGNED
- if gray16.ndims != 2, width and height **MUST** be given and
gray16.nbytes/2 **MUST** match width*height
- if gray16.ndims == 2, gray16.itemsize **MUST** be 2 (typically,
gray16.dtype is one of `numpy.dtype.int16`, `numpy.dtype.uint16`,
`numpy.dtype.short` or `numpy.dtype.ushort`)
Example::
def read_myattr(self, attr):
enc = PyTango.EncodedAttribute()
data = numpy.arange(100, dtype=numpy.int16)
data = numpy.array((data,data,data))
enc.encode_gray16(data)
attr.set_value(enc)
"""
if not is_seq(gray16):
raise TypeError("Expected sequence (str, numpy.ndarray, list, tuple "
"or bytearray) as first argument")
is_str = is_pure_str(gray16)
if is_str:
if not width or not height:
raise ValueError("When giving a string as data, you must also "
"supply width and height")
if np and isinstance(gray16, np.ndarray):
if gray16.ndim != 2:
if not width or not height:
raise ValueError("When giving a non 2D numpy array, width and "
"height must be supplied")
if gray16.nbytes / 2 != width * height:
raise ValueError("numpy array size mismatch")
else:
if gray16.itemsize != 2:
raise TypeError("Expected numpy array with itemsize == 2")
if gray16.flags.c_contiguous != True:
raise TypeError("Currently, only contiguous, aligned numpy arrays "
"are supported")
if gray16.flags.aligned != True:
raise TypeError("Currently, only contiguous, aligned numpy arrays "
"are supported")
if not is_str and (not width or not height):
height = len(gray16)
if height < 1:
raise IndexError("Expected sequence with at least one row")
row0 = gray16[0]
if not is_seq(row0):
raise IndexError("Expected sequence (str, numpy.ndarray, list, tuple or "
"bytearray) inside a sequence")
width = len(row0)
if is_pure_str(row0) or type(row0) == bytearray:
width /= 2
self._encode_gray16(gray16, width, height)
def __EncodedAttribute_encode_jpeg_rgb24(self, rgb24, width=0, height=0, quality=100.0):
"""Encode a 24 bit rgb color image as JPEG format.
:param rgb24: an object containning image information
:type rgb24: :py:obj:`str` or :class:`numpy.ndarray` or seq< seq<element> >
:param width: image width. **MUST** be given if rgb24 is a string or
if it is a :class:`numpy.ndarray` with ndims != 3.
Otherwise it is calculated internally.
:type width: :py:obj:`int`
:param height: image height. **MUST** be given if rgb24 is a string
or if it is a :class:`numpy.ndarray` with ndims != 3.
Otherwise it is calculated internally.
:type height: :py:obj:`int`
:param quality: Quality of JPEG (0=poor quality 100=max quality) (default is 100.0)
:type quality: :py:obj:`float`
.. note::
When :class:`numpy.ndarray` is given:
- rgb24 **MUST** be CONTIGUOUS, ALIGNED
- if rgb24.ndims != 3, width and height **MUST** be given and
rgb24.nbytes/3 **MUST** match width*height
- if rgb24.ndims == 3, rgb24.itemsize **MUST** be 1 (typically,
rgb24.dtype is one of `numpy.dtype.byte`, `numpy.dtype.ubyte`,
`numpy.dtype.int8` or `numpy.dtype.uint8`) and shape **MUST** be
(height, width, 3)
Example::
def read_myattr(self, attr):
enc = PyTango.EncodedAttribute()
# create an 'image' where each pixel is R=0x01, G=0x01, B=0x01
arr = numpy.ones((10,10,3), dtype=numpy.uint8)
enc.encode_jpeg_rgb24(data)
attr.set_value(enc)
"""
self._generic_encode_rgb24(rgb24, width=width, height=height, quality=quality, format=_ImageFormat.JpegImage)
def __EncodedAttribute_encode_rgb24(self, rgb24, width=0, height=0):
"""Encode a 24 bit color image (no compression)
:param rgb24: an object containning image information
:type rgb24: :py:obj:`str` or :class:`numpy.ndarray` or seq< seq<element> >
:param width: image width. **MUST** be given if rgb24 is a string or
if it is a :class:`numpy.ndarray` with ndims != 3.
Otherwise it is calculated internally.
:type width: :py:obj:`int`
:param height: image height. **MUST** be given if rgb24 is a string
or if it is a :class:`numpy.ndarray` with ndims != 3.
Otherwise it is calculated internally.
:type height: :py:obj:`int`
.. note::
When :class:`numpy.ndarray` is given:
- rgb24 **MUST** be CONTIGUOUS, ALIGNED
- if rgb24.ndims != 3, width and height **MUST** be given and
rgb24.nbytes/3 **MUST** match width*height
- if rgb24.ndims == 3, rgb24.itemsize **MUST** be 1 (typically,
rgb24.dtype is one of `numpy.dtype.byte`, `numpy.dtype.ubyte`,
`numpy.dtype.int8` or `numpy.dtype.uint8`) and shape **MUST** be
(height, width, 3)
Example::
def read_myattr(self, attr):
enc = PyTango.EncodedAttribute()
# create an 'image' where each pixel is R=0x01, G=0x01, B=0x01
arr = numpy.ones((10,10,3), dtype=numpy.uint8)
enc.encode_rgb24(data)
attr.set_value(enc)
"""
self._generic_encode_rgb24(rgb24, width=width, height=height, format=_ImageFormat.RawImage)
def __EncodedAttribute_generic_encode_rgb24(self, rgb24, width=0, height=0, quality=0, format=_ImageFormat.RawImage):
"""Internal usage only"""
if not is_seq(rgb24):
raise TypeError("Expected sequence (str, numpy.ndarray, list, tuple "
"or bytearray) as first argument")
is_str = is_pure_str(rgb24)
if is_str:
if not width or not height:
raise ValueError("When giving a string as data, you must also "
"supply width and height")
if np and isinstance(rgb24, np.ndarray):
if rgb24.ndim != 3:
if not width or not height:
raise ValueError("When giving a non 2D numpy array, width and "
"height must be supplied")
if rgb24.nbytes / 3 != width * height:
raise ValueError("numpy array size mismatch")
else:
if rgb24.itemsize != 1:
raise TypeError("Expected numpy array with itemsize == 1")
if rgb24.flags.c_contiguous != True:
raise TypeError("Currently, only contiguous, aligned numpy arrays "
"are supported")
if rgb24.flags.aligned != True:
raise TypeError("Currently, only contiguous, aligned numpy arrays "
"are supported")
if not is_str and (not width or not height):
height = len(rgb24)
if height < 1:
raise IndexError("Expected sequence with at least one row")
row0 = rgb24[0]
if not is_seq(row0):
raise IndexError("Expected sequence (str, numpy.ndarray, list, tuple or "
"bytearray) inside a sequence")
width = len(row0)
if is_pure_str(row0) or type(row0) == bytearray:
width /= 3
if format == _ImageFormat.RawImage:
self._encode_rgb24(rgb24, width, height)
elif format == _ImageFormat.JpegImage:
self._encode_jpeg_rgb24(rgb24, width, height, quality)
def __EncodedAttribute_encode_jpeg_rgb32(self, rgb32, width=0, height=0, quality=100.0):
"""Encode a 32 bit rgb color image as JPEG format.
:param rgb32: an object containning image information
:type rgb32: :py:obj:`str` or :class:`numpy.ndarray` or seq< seq<element> >
:param width: image width. **MUST** be given if rgb32 is a string or
if it is a :class:`numpy.ndarray` with ndims != 2.
Otherwise it is calculated internally.
:type width: :py:obj:`int`
:param height: image height. **MUST** be given if rgb32 is a string
or if it is a :class:`numpy.ndarray` with ndims != 2.
Otherwise it is calculated internally.
:type height: :py:obj:`int`
.. note::
When :class:`numpy.ndarray` is given:
- rgb32 **MUST** be CONTIGUOUS, ALIGNED
- if rgb32.ndims != 2, width and height **MUST** be given and
rgb32.nbytes/4 **MUST** match width*height
- if rgb32.ndims == 2, rgb32.itemsize **MUST** be 4 (typically,
rgb32.dtype is one of `numpy.dtype.int32`, `numpy.dtype.uint32`)
Example::
def read_myattr(self, attr):
enc = PyTango.EncodedAttribute()
data = numpy.arange(100, dtype=numpy.int32)
data = numpy.array((data,data,data))
enc.encode_jpeg_rgb32(data)
attr.set_value(enc)
"""
if not is_seq(rgb32):
raise TypeError("Expected sequence (str, numpy.ndarray, list, tuple "
"or bytearray) as first argument")
is_str = is_pure_str(rgb32)
if is_str:
if not width or not height:
raise ValueError("When giving a string as data, you must also "
"supply width and height")
if np and isinstance(rgb32, np.ndarray):
if rgb32.ndim != 2:
if not width or not height:
raise ValueError("When giving a non 2D numpy array, width and "
"height must be supplied")
if rgb32.nbytes / 4 != width * height:
raise ValueError("numpy array size mismatch")
else:
if rgb32.itemsize != 4:
raise TypeError("Expected numpy array with itemsize == 4")
if rgb32.flags.c_contiguous != True:
raise TypeError("Currently, only contiguous, aligned numpy arrays "
"are supported")
if rgb32.flags.aligned != True:
raise TypeError("Currently, only contiguous, aligned numpy arrays "
"are supported")
if not is_str and (not width or not height):
height = len(rgb32)
if height < 1:
raise IndexError("Expected sequence with at least one row")
row0 = rgb32[0]
if not is_seq(row0):
raise IndexError("Expected sequence (str, numpy.ndarray, list, tuple or "
"bytearray) inside a sequence")
width = len(row0)
if is_pure_str(row0) or type(row0) == bytearray:
width /= 4
self._encode_jpeg_rgb32(rgb32, width, height, quality)
def __EncodedAttribute_decode_gray8(self, da, extract_as=ExtractAs.Numpy):
"""Decode a 8 bits grayscale image (JPEG_GRAY8 or GRAY8) and returns a 8 bits gray scale image.
:param da: :class:`DeviceAttribute` that contains the image
:type da: :class:`DeviceAttribute`
:param extract_as: defaults to ExtractAs.Numpy
:type extract_as: ExtractAs
:return: the decoded data
- In case String string is choosen as extract method, a tuple is returned:
width<int>, height<int>, buffer<str>
- In case Numpy is choosen as extract method, a :class:`numpy.ndarray` is
returned with ndim=2, shape=(height, width) and dtype=numpy.uint8.
- In case Tuple or List are choosen, a tuple<tuple<int>> or list<list<int>>
is returned.
.. warning::
The PyTango calls that return a :class:`DeviceAttribute`
(like :meth:`DeviceProxy.read_attribute` or :meth:`DeviceProxy.command_inout`)
automatically extract the contents by default. This method requires
that the given :class:`DeviceAttribute` is obtained from a
call which **DOESN'T** extract the contents. Example::
dev = PyTango.DeviceProxy("a/b/c")
da = dev.read_attribute("my_attr", extract_as=PyTango.ExtractAs.Nothing)
enc = PyTango.EncodedAttribute()
data = enc.decode_gray8(da)
"""
if hasattr(da, 'value'):
raise TypeError("DeviceAttribute argument must have been obtained from "
"a call which doesn't extract the contents")
if extract_as not in _allowed_extract:
raise TypeError("extract_as must be one of Numpy, String, Tuple, List")
return self._decode_gray8(da, extract_as)
def __EncodedAttribute_decode_gray16(self, da, extract_as=ExtractAs.Numpy):
"""Decode a 16 bits grayscale image (GRAY16) and returns a 16 bits gray scale image.
:param da: :class:`DeviceAttribute` that contains the image
:type da: :class:`DeviceAttribute`
:param extract_as: defaults to ExtractAs.Numpy
:type extract_as: ExtractAs
:return: the decoded data
- In case String string is choosen as extract method, a tuple is returned:
width<int>, height<int>, buffer<str>
- In case Numpy is choosen as extract method, a :class:`numpy.ndarray` is
returned with ndim=2, shape=(height, width) and dtype=numpy.uint16.
- In case Tuple or List are choosen, a tuple<tuple<int>> or list<list<int>>
is returned.
.. warning::
The PyTango calls that return a :class:`DeviceAttribute`
(like :meth:`DeviceProxy.read_attribute` or :meth:`DeviceProxy.command_inout`)
automatically extract the contents by default. This method requires
that the given :class:`DeviceAttribute` is obtained from a
call which **DOESN'T** extract the contents. Example::
dev = PyTango.DeviceProxy("a/b/c")
da = dev.read_attribute("my_attr", extract_as=PyTango.ExtractAs.Nothing)
enc = PyTango.EncodedAttribute()
data = enc.decode_gray16(da)
"""
if hasattr(da, 'value'):
raise TypeError("DeviceAttribute argument must have been obtained from "
"a call which doesn't extract the contents")
if extract_as not in _allowed_extract:
raise TypeError("extract_as must be one of Numpy, String, Tuple, List")
return self._decode_gray16(da, extract_as)
def __EncodedAttribute_decode_rgb32(self, da, extract_as=ExtractAs.Numpy):
"""Decode a color image (JPEG_RGB or RGB24) and returns a 32 bits RGB image.
:param da: :class:`DeviceAttribute` that contains the image
:type da: :class:`DeviceAttribute`
:param extract_as: defaults to ExtractAs.Numpy
:type extract_as: ExtractAs
:return: the decoded data
- In case String string is choosen as extract method, a tuple is returned:
width<int>, height<int>, buffer<str>
- In case Numpy is choosen as extract method, a :class:`numpy.ndarray` is
returned with ndim=2, shape=(height, width) and dtype=numpy.uint32.
- In case Tuple or List are choosen, a tuple<tuple<int>> or list<list<int>>
is returned.
.. warning::
The PyTango calls that return a :class:`DeviceAttribute`
(like :meth:`DeviceProxy.read_attribute` or :meth:`DeviceProxy.command_inout`)
automatically extract the contents by default. This method requires
that the given :class:`DeviceAttribute` is obtained from a
call which **DOESN'T** extract the contents. Example::
dev = PyTango.DeviceProxy("a/b/c")
da = dev.read_attribute("my_attr", extract_as=PyTango.ExtractAs.Nothing)
enc = PyTango.EncodedAttribute()
data = enc.decode_rgb32(da)
"""
if hasattr(da, 'value'):
raise TypeError("DeviceAttribute argument must have been obtained from "
"a call which doesn't extract the contents")
if extract_as not in _allowed_extract:
raise TypeError("extract_as must be one of Numpy, String, Tuple, List")
return self._decode_rgb32(da, extract_as)
def __init_EncodedAttribute():
EncodedAttribute._generic_encode_gray8 = __EncodedAttribute_generic_encode_gray8
EncodedAttribute.encode_gray8 = __EncodedAttribute_encode_gray8
EncodedAttribute.encode_jpeg_gray8 = __EncodedAttribute_encode_jpeg_gray8
EncodedAttribute.encode_gray16 = __EncodedAttribute_encode_gray16
EncodedAttribute._generic_encode_rgb24 = __EncodedAttribute_generic_encode_rgb24
EncodedAttribute.encode_rgb24 = __EncodedAttribute_encode_rgb24
EncodedAttribute.encode_jpeg_rgb24 = __EncodedAttribute_encode_jpeg_rgb24
EncodedAttribute.encode_jpeg_rgb32 = __EncodedAttribute_encode_jpeg_rgb32
EncodedAttribute.decode_gray8 = __EncodedAttribute_decode_gray8
EncodedAttribute.decode_gray16 = __EncodedAttribute_decode_gray16
EncodedAttribute.decode_rgb32 = __EncodedAttribute_decode_rgb32
def __doc_EncodedAttribute():
pass
def encoded_attribute_init(doc=True):
__init_EncodedAttribute()
if doc:
__doc_EncodedAttribute()
|