del env py
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# Test datasets
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## Obtaining / creating test datasets
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If a test dataset can be created in code, do that instead. If it is used in a
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single test, create the test dataset as part of that test. If it is used in
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more than a single test, add it to `pyogrio/tests/conftest.py` instead, as a
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function-scoped test fixture.
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If you need to obtain 3rd party test files:
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- add a section below that describes the source location and processing steps
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to derive that dataset
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- make sure the license is compatible with including in Pyogrio (public domain or open-source)
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and record that license below
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Please keep the test files no larger than necessary to use in tests.
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## Included test datasets
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### Natural Earth lowres
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`naturalearth_lowres.shp` was copied from GeoPandas.
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License: public domain
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### GPKG test dataset with null values
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`test_gpkg_nulls.gpkg` was created using Fiona backend to GeoPandas:
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```
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from collections import OrderedDict
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import fiona
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import geopandas as gp
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import numpy as np
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from pyogrio import write_dataframe
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filename = "test_gpkg_nulls.gpkg"
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df = gp.GeoDataFrame(
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{
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"col_bool": np.array([True, False, True], dtype="bool"),
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"col_int8": np.array([1, 2, 3], dtype="int8"),
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"col_int16": np.array([1, 2, 3], dtype="int16"),
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"col_int32": np.array([1, 2, 3], dtype="int32"),
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"col_int64": np.array([1, 2, 3], dtype="int64"),
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"col_uint8": np.array([1, 2, 3], dtype="uint8"),
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"col_uint16": np.array([1, 2, 3], dtype="uint16"),
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"col_uint32": np.array([1, 2, 3], dtype="uint32"),
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"col_uint64": np.array([1, 2, 3], dtype="uint64"),
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"col_float32": np.array([1.5, 2.5, 3.5], dtype="float32"),
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"col_float64": np.array([1.5, 2.5, 3.5], dtype="float64"),
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},
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geometry=gp.points_from_xy([0, 1, 2], [0, 1, 2]),
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crs="EPSG:4326",
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)
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write_dataframe(df, filename)
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# construct row with null values
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# Note: np.nan can only be used for float values
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null_row = {
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"type": "Fetaure",
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"id": 4,
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"properties": OrderedDict(
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[
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("col_bool", None),
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("col_int8", None),
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("col_int16", None),
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("col_int32", None),
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("col_int64", None),
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("col_uint8", None),
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("col_uint16", None),
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("col_uint32", None),
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("col_uint64", None),
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("col_float32", np.nan),
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("col_float64", np.nan),
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]
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),
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"geometry": {"type": "Point", "coordinates": (4.0, 4.0)},
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}
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# append row with nulls to GPKG
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with fiona.open(filename, "a") as c:
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c.write(null_row)
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```
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NOTE: Reading boolean values into GeoPandas using Fiona backend treats those
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values as `None` and column dtype as `object`; Pyogrio treats those values as
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`np.nan` and column dtype as `float64`.
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License: same as Pyogrio
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### OSM PBF test
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This was downloaded from https://github.com/openstreetmap/OSM-binary/blob/master/resources/sample.pbf
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License: [Open Data Commons Open Database License (ODbL)](https://opendatacommons.org/licenses/odbl/)
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### Test files for geometry types that are downgraded on read
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`line_zm.gpkg` was created using QGIS to digitize a LineString GPKG layer with Z and M enabled. Downgraded to LineString Z on read.
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`curve.gpkg` was created using QGIS to digitize a Curve GPKG layer. Downgraded to LineString on read.
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`curvepolygon.gpkg` was created using QGIS to digitize a CurvePolygon GPKG layer. Downgraded to Polygon on read.
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`multisurface.gpkg` was created using QGIS to digitize a MultiSurface GPKG layer. Downgraded to MultiPolygon on read.
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License: same as Pyogrio
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