def test_unpack():
class Unpacker(object):
def __init__(self, x, y):
self.x = x
self.y = y
unmarshal.register("unpack", unmarshal.unpack_into(Unpacker))
unmarshalled = unmarshal.unmarshal("unpack", dict(x=1, y=True))
assert isinstance(unmarshalled, Unpacker)
assert unmarshalled.x == 1
assert unmarshalled.y is True
ndarray = "None (Empty Image)"
ndarray_line = " * ndarray: {}".format(ndarray)
properties_line = " * properties: {}".format(_join_dict_keys(self.properties))
bandinfo_line = " * bandinfo: {}".format(_join_dict_keys(self.bandinfo))
geocontext_line = " * geocontext: {}".format(_join_dict_keys(self.geocontext))
return "\n".join(
(name_header, ndarray_line, properties_line, bandinfo_line, geocontext_line)
)
unmarshal.register(
"Image", warn_on_old_python_wrapper(unmarshal.unpack_into(ImageResult))
)
class ImageCollectionResult(EqualityMixin):
"""
Result of calling `~.models.compute` on an `~.geospatial.ImageCollection`.
Examples
--------
>>> from descarteslabs.workflows import ImageCollection
>>> my_col = ImageCollection.from_id("landsat:LC08:01:RT:TOAR",
... start_datetime="2017-01-01",
... end_datetime="2017-05-30")
>>> my_col.compute(my_geoctx) # my_geoctx is an arbitrary geocontext for 'my_col' # doctest: +SKIP
ImageCollectionResult of length 2: