mirror of https://github.com/django/django.git
Fixed #32670 -- Allowed GDALRasters to use any GDAL virtual filesystem.
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@ -65,8 +65,11 @@ GDAL_COLOR_TYPES = {
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16: 'GCI_YCbCr_CrBand', # Cr Chroma, also GCI_Max
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}
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# GDAL virtual filesystems prefix.
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VSI_FILESYSTEM_PREFIX = '/vsi'
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# Fixed base path for buffer-based GDAL in-memory files.
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VSI_FILESYSTEM_BASE_PATH = '/vsimem/'
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VSI_MEM_FILESYSTEM_BASE_PATH = '/vsimem/'
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# Should the memory file system take ownership of the buffer, freeing it when
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# the file is deleted? (No, GDALRaster.__del__() will delete the buffer.)
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@ -12,8 +12,8 @@ from django.contrib.gis.gdal.prototypes import raster as capi
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from django.contrib.gis.gdal.raster.band import BandList
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from django.contrib.gis.gdal.raster.base import GDALRasterBase
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from django.contrib.gis.gdal.raster.const import (
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GDAL_RESAMPLE_ALGORITHMS, VSI_DELETE_BUFFER_ON_READ,
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VSI_FILESYSTEM_BASE_PATH, VSI_TAKE_BUFFER_OWNERSHIP,
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GDAL_RESAMPLE_ALGORITHMS, VSI_DELETE_BUFFER_ON_READ, VSI_FILESYSTEM_PREFIX,
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VSI_MEM_FILESYSTEM_BASE_PATH, VSI_TAKE_BUFFER_OWNERSHIP,
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)
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from django.contrib.gis.gdal.srs import SpatialReference, SRSException
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from django.contrib.gis.geometry import json_regex
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@ -74,7 +74,7 @@ class GDALRaster(GDALRasterBase):
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# If input is a valid file path, try setting file as source.
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if isinstance(ds_input, str):
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if (
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not ds_input.startswith(VSI_FILESYSTEM_BASE_PATH) and
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not ds_input.startswith(VSI_FILESYSTEM_PREFIX) and
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not os.path.exists(ds_input)
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):
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raise GDALException(
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@ -95,7 +95,7 @@ class GDALRaster(GDALRasterBase):
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# deleted.
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self._ds_input = c_buffer(ds_input)
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# Create random name to reference in vsimem filesystem.
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vsi_path = os.path.join(VSI_FILESYSTEM_BASE_PATH, str(uuid.uuid4()))
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vsi_path = os.path.join(VSI_MEM_FILESYSTEM_BASE_PATH, str(uuid.uuid4()))
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# Create vsimem file from buffer.
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capi.create_vsi_file_from_mem_buffer(
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force_bytes(vsi_path),
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@ -217,7 +217,10 @@ class GDALRaster(GDALRasterBase):
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@property
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def vsi_buffer(self):
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if not self.is_vsi_based:
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if not (
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self.is_vsi_based and
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self.name.startswith(VSI_MEM_FILESYSTEM_BASE_PATH)
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):
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return None
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# Prepare an integer that will contain the buffer length.
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out_length = c_int()
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@ -232,7 +235,7 @@ class GDALRaster(GDALRasterBase):
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@cached_property
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def is_vsi_based(self):
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return self._ptr and self.name.startswith(VSI_FILESYSTEM_BASE_PATH)
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return self._ptr and self.name.startswith(VSI_FILESYSTEM_PREFIX)
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@property
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def name(self):
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@ -432,7 +435,7 @@ class GDALRaster(GDALRasterBase):
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elif self.driver.name != 'MEM':
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clone_name = self.name + '_copy.' + self.driver.name
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else:
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clone_name = os.path.join(VSI_FILESYSTEM_BASE_PATH, str(uuid.uuid4()))
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clone_name = os.path.join(VSI_MEM_FILESYSTEM_BASE_PATH, str(uuid.uuid4()))
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return GDALRaster(
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capi.copy_ds(
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self.driver._ptr,
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@ -1111,9 +1111,9 @@ blue.
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raster should be opened in write mode. For newly-created rasters, the second
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parameter is ignored and the new raster is always created in write mode.
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The first parameter can take three forms: a string representing a file
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path, a dictionary with values defining a new raster, or a bytes object
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representing a raster file.
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The first parameter can take three forms: a string representing a file path
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(filesystem or GDAL virtual filesystem), a dictionary with values defining
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a new raster, or a bytes object representing a raster file.
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If the input is a file path, the raster is opened from there. If the input
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is raw data in a dictionary, the parameters ``width``, ``height``, and
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@ -1164,6 +1164,10 @@ blue.
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>>> rst.name # Stored in a random path in the vsimem filesystem.
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'/vsimem/da300bdb-129d-49a8-b336-e410a9428dad'
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.. versionchanged:: 4.0
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Creating rasters in any GDAL virtual filesystem was allowed.
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.. attribute:: name
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The name of the source which is equivalent to the input file path or the name
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@ -1772,6 +1776,13 @@ Key Default Usage
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Using GDAL's Virtual Filesystem
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-------------------------------
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GDAL can access files stored in the filesystem, but also supports virtual
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filesystems to abstract accessing other kind of files, such as compressed,
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encrypted, or remote files.
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Using memory-based Virtual Filesystem
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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GDAL has an internal memory-based filesystem, which allows treating blocks of
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memory as files. It can be used to read and write :class:`GDALRaster` objects
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to and from binary file buffers.
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@ -1817,6 +1828,53 @@ Here's how to create a raster and return it as a file in an
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... })
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>>> HttpResponse(rast.vsi_buffer, 'image/tiff')
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Using other Virtual Filesystems
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. versionadded:: 4.0
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Depending on the local build of GDAL other virtual filesystems may be
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supported. You can use them by prepending the provided path with the
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appropriate ``/vsi*/`` prefix. See the `GDAL Virtual Filesystems
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documentation`_ for more details.
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.. warning:
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Rasters with names starting with `/vsi*/` will be treated as rasters from
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the GDAL virtual filesystems. Django doesn't perform any extra validation.
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Compressed rasters
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^^^^^^^^^^^^^^^^^^
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Instead decompressing the file and instantiating the resulting raster, GDAL can
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directly access compressed files using the ``/vsizip/``, ``/vsigzip/``, or
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``/vsitar/`` virtual filesystems::
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>>> from django.contrib.gis.gdal import GDALRaster
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>>> rst = GDALRaster('/vsizip/path/to/your/file.zip/path/to/raster.tif')
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>>> rst = GDALRaster('/vsigzip/path/to/your/file.gz')
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>>> rst = GDALRaster('/vsitar/path/to/your/file.tar/path/to/raster.tif')
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Network rasters
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^^^^^^^^^^^^^^^
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GDAL can support online resources and storage providers transparently. As long
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as it's built with such capabilities.
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To access a public raster file with no authentication, you can use
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``/vsicurl/``::
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>>> from django.contrib.gis.gdal import GDALRaster
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>>> rst = GDALRaster('/vsicurl/https://example.com/raster.tif')
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>>> rst.name
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'/vsicurl/https://example.com/raster.tif'
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For commercial storage providers (e.g. ``/vsis3/``) the system should be
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previously configured for authentication and possibly other settings (see the
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`GDAL Virtual Filesystems documentation`_ for available options).
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.. _`GDAL Virtual Filesystems documentation`: https://gdal.org/user/virtual_file_systems.html
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Settings
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========
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@ -102,6 +102,9 @@ Minor features
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* Added support for SpatiaLite 5.
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* :class:`~django.contrib.gis.gdal.GDALRaster` now allows creating rasters in
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any GDAL virtual filesystem.
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:mod:`django.contrib.messages`
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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@ -217,6 +217,7 @@ fieldsets
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filename
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filenames
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filesystem
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filesystems
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fk
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flatpage
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flatpages
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@ -2,6 +2,7 @@ import os
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import shutil
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import struct
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import tempfile
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import zipfile
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from unittest import mock
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from django.contrib.gis.gdal import GDALRaster, SpatialReference
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@ -229,6 +230,17 @@ class GDALRasterTests(SimpleTestCase):
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# The vsi buffer is None for rasters that are not vsi based.
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self.assertIsNone(self.rs.vsi_buffer)
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def test_vsi_vsizip_filesystem(self):
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rst_zipfile = tempfile.NamedTemporaryFile(suffix='.zip')
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with zipfile.ZipFile(rst_zipfile, mode='w') as zf:
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zf.write(self.rs_path, 'raster.tif')
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rst_path = '/vsizip/' + os.path.join(rst_zipfile.name, 'raster.tif')
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rst = GDALRaster(rst_path)
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self.assertEqual(rst.driver.name, self.rs.driver.name)
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self.assertEqual(rst.name, rst_path)
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self.assertIs(rst.is_vsi_based, True)
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self.assertIsNone(rst.vsi_buffer)
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def test_offset_size_and_shape_on_raster_creation(self):
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rast = GDALRaster({
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'datatype': 1,
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