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Fixed gis test failures when numpy isn't installed.
Thanks to Bas Peschier for pointing this out. Refs #23804.
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@ -121,7 +121,7 @@ class GDALBand(GDALBase):
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access_flag = 1
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# Instantiate ctypes array holding the input data
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if isinstance(data, (bytes, six.memoryview, numpy.ndarray)):
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if isinstance(data, (bytes, six.memoryview)) or (numpy and isinstance(data, numpy.ndarray)):
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data_array = ctypes_array.from_buffer_copy(data)
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else:
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data_array = ctypes_array(*data)
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@ -204,10 +204,10 @@ class GDALBandTests(unittest.TestCase):
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if numpy:
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numpy.testing.assert_equal(bandmem.data(), numpy.arange(100).reshape(10, 10))
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else:
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self.assertEqual(bandmem.data(), range(100))
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self.assertEqual(bandmem.data(), list(range(100)))
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# Prepare data for setting values in subsequent tests
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block = range(100, 104)
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block = list(range(100, 104))
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packed_block = struct.pack('<' + 'B B B B', *block)
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# Set data from list
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@ -267,4 +267,4 @@ class GDALBandTests(unittest.TestCase):
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numpy.array(range(25)).reshape(5, 5)
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)
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else:
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self.assertEqual(bandmemjson.data(), range(25))
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self.assertEqual(bandmemjson.data(), list(range(25)))
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