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AL-000: Yapf
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labelbox/data/serialization/ndjson/objects.py

Lines changed: 32 additions & 31 deletions
Original file line numberDiff line numberDiff line change
@@ -60,12 +60,12 @@ def from_common(cls,
6060
'x': point.x,
6161
'y': point.y
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},
63-
dataRow=DataRow(id=data.uid),
64-
name=name,
65-
schema_id=feature_schema_id,
66-
uuid=extra.get('uuid'),
67-
classifications=classifications,
68-
confidence=confidence)
63+
dataRow=DataRow(id=data.uid),
64+
name=name,
65+
schema_id=feature_schema_id,
66+
uuid=extra.get('uuid'),
67+
classifications=classifications,
68+
confidence=confidence)
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class NDFramePoint(VideoSupported):
@@ -93,22 +93,24 @@ def to_common(self) -> Line:
9393
return Line(points=[Point(x=pt.x, y=pt.y) for pt in self.line])
9494

9595
@classmethod
96-
def from_common(cls, line: Line,
97-
classifications: List[ClassificationAnnotation], name: str,
98-
feature_schema_id: Cuid, extra: Dict[str, Any],
99-
data: Union[ImageData,
100-
TextData],
96+
def from_common(cls,
97+
line: Line,
98+
classifications: List[ClassificationAnnotation],
99+
name: str,
100+
feature_schema_id: Cuid,
101+
extra: Dict[str, Any],
102+
data: Union[ImageData, TextData],
101103
confidence: Optional[float] = None) -> "NDLine":
102104
return cls(line=[{
103105
'x': pt.x,
104106
'y': pt.y
105107
} for pt in line.points],
106-
dataRow=DataRow(id=data.uid),
107-
name=name,
108-
schema_id=feature_schema_id,
109-
uuid=extra.get('uuid'),
110-
classifications=classifications,
111-
confidence=confidence)
108+
dataRow=DataRow(id=data.uid),
109+
name=name,
110+
schema_id=feature_schema_id,
111+
uuid=extra.get('uuid'),
112+
classifications=classifications,
113+
confidence=confidence)
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class NDFrameLine(VideoSupported):
@@ -152,12 +154,12 @@ def from_common(cls,
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'x': pt.x,
153155
'y': pt.y
154156
} for pt in polygon.points],
155-
dataRow=DataRow(id=data.uid),
156-
name=name,
157-
schema_id=feature_schema_id,
158-
uuid=extra.get('uuid'),
159-
classifications=classifications,
160-
confidence=confidence)
157+
dataRow=DataRow(id=data.uid),
158+
name=name,
159+
schema_id=feature_schema_id,
160+
uuid=extra.get('uuid'),
161+
classifications=classifications,
162+
confidence=confidence)
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163165
class NDRectangle(NDBaseObject, ConfidenceMixin):
@@ -321,8 +323,7 @@ def from_common(cls,
321323
confidence: Optional[float] = None) -> "NDMask":
322324

323325
if mask.mask.url is not None:
324-
lbv1_mask = _URIMask(
325-
instanceURI=mask.mask.url, colorRGB=mask.color)
326+
lbv1_mask = _URIMask(instanceURI=mask.mask.url, colorRGB=mask.color)
326327
else:
327328
binary = np.all(mask.mask.value == mask.color, axis=-1)
328329
im_bytes = BytesIO()
@@ -360,12 +361,12 @@ def from_common(cls, text_entity: TextEntity,
360361
start=text_entity.start,
361362
end=text_entity.end,
362363
),
363-
dataRow=DataRow(id=data.uid),
364-
name=name,
365-
schema_id=feature_schema_id,
366-
uuid=extra.get('uuid'),
367-
classifications=classifications,
368-
confidence=confidence)
364+
dataRow=DataRow(id=data.uid),
365+
name=name,
366+
schema_id=feature_schema_id,
367+
uuid=extra.get('uuid'),
368+
classifications=classifications,
369+
confidence=confidence)
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370371

371372
class NDObject:

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