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⚡️ Speed up function _fix_metadata_field_precision by 304% #264

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⚡️ Speed up function _fix_metadata_field_precision by 304% #264

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18 changes: 9 additions & 9 deletions unstructured/staging/base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,7 @@
import io
import json
import zlib
from copy import deepcopy
from copy import copy
from datetime import datetime
from typing import Any, Iterable, Optional, Sequence, cast

Expand All @@ -21,7 +21,7 @@
)
from unstructured.file_utils.ndjson import dumps as ndjson_dumps
from unstructured.partition.common.common import exactly_one
from unstructured.utils import Point, dependency_exists, requires_dependencies
from unstructured.utils import dependency_exists, requires_dependencies

if dependency_exists("pandas"):
import pandas as pd
Expand Down Expand Up @@ -232,19 +232,19 @@ def elements_to_ndjson(
def _fix_metadata_field_precision(elements: Iterable[Element]) -> list[Element]:
out_elements: list[Element] = []
for element in elements:
el = deepcopy(element)
el = copy(element)
if el.metadata.coordinates:
el.metadata = copy(element.metadata)
el.metadata.coordinates = copy(element.metadata.coordinates)
precision = 1 if isinstance(el.metadata.coordinates.system, PixelSpace) else 2
points = el.metadata.coordinates.points
assert points is not None
rounded_points: list[Point] = []
for point in points:
x, y = point
rounded_point = (round(x, precision), round(y, precision))
rounded_points.append(rounded_point)
el.metadata.coordinates.points = tuple(rounded_points)
rounded_points = tuple((round(x, precision), round(y, precision)) for x, y in points)
el.metadata.coordinates.points = rounded_points

if el.metadata.detection_class_prob:
if el.metadata is element.metadata:
el.metadata = copy(element.metadata)
el.metadata.detection_class_prob = round(el.metadata.detection_class_prob, 5)

out_elements.append(el)
Expand Down