def stats(self, value):
if value is None:
self._stats = NumericStats()
elif isinstance(value, NumericStats):
self._stats = value
else:
raise DataException(f"stats for a NumericComponant should be of type NumericStats, not {type(value)}")
def from_jcr(cls, jcr):
classpath = jcr["extractor_class"]
extr_class = locate(classpath)
if extr_class is None:
NameError(f"Could not locate {classpath}")
extractor = extr_class.from_jcr(jcr["extractor_state"])
stats = NumericStats.from_jcr(jcr["stats"])
name = jcr["name"]
return cls(name=name, extractor=extractor, stats=stats)
def test_schema_buildable():
component = FloatFeature(name="testcomponent")
schema = Schema(name="Testing", version="1.0.0", features=[component])
assert not schema.is_built()
extractor = FixedSubpatchSimilarity(
patch={"x0": 0, "y0": 0, "x1": 64, "y1": 64}, refs=["adf8d224cb8786cc"], nrefs=1
)
stats = NumericStats(min=0, max=1)
component = FloatFeature(name="testcomponent", extractor=extractor, stats=stats)
schema = Schema(name="Testing", version="1.0.0", features=[component])
assert not schema.is_built()
extractor = FixedSubpatchSimilarity(
patch={"x0": 0, "y0": 0, "x1": 64, "y1": 64}, refs=["adf8d224cb8786cc"], nrefs=1
)
stats = NumericStats(min=0, max=1, mean=0.5, std=0.02, percentiles=range(101), pinv=0)
component = FloatFeature(name="testcomponent", extractor=extractor, stats=stats)
schema = Schema(name="Testing", version="1.0.0", features=[component, component])
assert schema.is_built()
def test_schema_jcr():
extractor = FixedSubpatchSimilarity(
patch={"x0": 0, "y0": 0, "x1": 64, "y1": 64}, refs=["adf8d224cb8786cc"], nrefs=1
)
stats = NumericStats(min=0, max=1, mean=0.5, std=0.02, percentiles=range(101))
component = FloatFeature(name="testcomponent", extractor=extractor, stats=stats)
component2 = FloatFeature(name="testcomponent2", extractor=extractor, stats=stats)
schema = Schema(name="Testing", version="1.0.0", features=[component, component2])
schema_jcr = schema.to_jcr()
assert len(schema_jcr["features"]) == 2
jsonstr = json.dumps(schema_jcr) # Should not throw an error
assert len(jsonstr) > 0
schema_restored = Schema.from_jcr(schema_jcr)
assert schema.name == schema_restored.name
assert schema.version == schema_restored.version
assert all([c1 == c2 for (c1, c2) in zip(schema.features.keys(), schema_restored.features.keys())])
def test_feature_buildable():
component = FloatFeature(name="testcomponent")
assert not component.is_built()
extractor = FixedSubpatchSimilarity(
patch={"x0": 0, "y0": 0, "x1": 64, "y1": 64}, refs=["adf8d224cb8786cc"], nrefs=1
)
stats = NumericStats(min=0, max=1)
component = FloatFeature(name="testcomponent", extractor=extractor, stats=stats)
assert not stats.is_built()
assert extractor.is_built()
assert not component.is_built()
extractor = FixedSubpatchSimilarity(
patch={"x0": 0, "y0": 0, "x1": 64, "y1": 64}, refs=["adf8d224cb8786cc"], nrefs=1
)
stats = NumericStats(min=0, max=1, mean=0.5, std=0.02, percentiles=range(101), pinv=0)
component = FloatFeature(name="testcomponent", extractor=extractor, stats=stats)
assert stats.is_built()
assert extractor.is_built()
assert component.is_built()
def test_stats_none():
stats = NumericStats()
jcr = stats.to_jcr()
for attr in NumericStats._attrs:
assert jcr[attr] is None
def test_num_stats_build():
stats = NumericStats()
assert not stats.is_built()
stats = NumericStats(
min=0,
max=1,
mean=0.5,
std=0.02,
)
assert not stats.is_built()
stats = NumericStats(min=0, max=1, mean=0.5, percentiles=range(101), pinv=0)
assert not stats.is_built()
stats = NumericStats(min=0, max=1, std=0.02, percentiles=range(101), pinv=0)
assert not stats.is_built()
stats = NumericStats(min=0, mean=0.5, std=0.02, percentiles=range(101), pinv=0)
assert not stats.is_built()
stats = NumericStats(max=1, mean=0.5, std=0.02, percentiles=range(101), pinv=0)
assert not stats.is_built()
stats = NumericStats(min=0, max=1, mean=0.5, std=0.02, percentiles=range(101))
assert not stats.is_built()
stats = NumericStats(min=0, max=1, mean=0.5, std=0.02, percentiles=range(101), pinv=0)
assert stats.is_built()
def test_stats_partial_none():
params = dict(min=0, max=1, mean=0.5, std=0.02, pinv=0.1, percentiles=list(range(101)))
stats = NumericStats(**params)
jcr = stats.to_jcr()
for attr in NumericStats._attrs:
assert jcr[attr] == params[attr]