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34 lines
3.4 KiB
Python
34 lines
3.4 KiB
Python
# The following has been generated automatically from src/core/raster/qgsrasterdataprovider.h
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QgsRasterDataProvider.NoProviderCapabilities = QgsRasterDataProvider.ProviderCapability.NoProviderCapabilities
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QgsRasterDataProvider.ReadLayerMetadata = QgsRasterDataProvider.ProviderCapability.ReadLayerMetadata
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QgsRasterDataProvider.WriteLayerMetadata = QgsRasterDataProvider.ProviderCapability.WriteLayerMetadata
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QgsRasterDataProvider.ProviderHintBenefitsFromResampling = QgsRasterDataProvider.ProviderCapability.ProviderHintBenefitsFromResampling
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QgsRasterDataProvider.ProviderHintCanPerformProviderResampling = QgsRasterDataProvider.ProviderCapability.ProviderHintCanPerformProviderResampling
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QgsRasterDataProvider.ReloadData = QgsRasterDataProvider.ProviderCapability.ReloadData
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QgsRasterDataProvider.DpiDependentData = QgsRasterDataProvider.ProviderCapability.DpiDependentData
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QgsRasterDataProvider.NativeRasterAttributeTable = QgsRasterDataProvider.ProviderCapability.NativeRasterAttributeTable
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QgsRasterDataProvider.ProviderCapabilities = lambda flags=0: QgsRasterDataProvider.ProviderCapability(flags)
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QgsRasterDataProvider.TransformImageToLayer = QgsRasterDataProvider.TransformType.TransformImageToLayer
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QgsRasterDataProvider.TransformLayerToImage = QgsRasterDataProvider.TransformType.TransformLayerToImage
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# monkey patching scoped based enum
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QgsRasterDataProvider.ResamplingMethod.Nearest.__doc__ = "Nearest-neighbour resampling"
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QgsRasterDataProvider.ResamplingMethod.Bilinear.__doc__ = "Bilinear (2x2 kernel) resampling"
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QgsRasterDataProvider.ResamplingMethod.Cubic.__doc__ = "Cubic Convolution Approximation (4x4 kernel) resampling"
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QgsRasterDataProvider.ResamplingMethod.CubicSpline.__doc__ = "Cubic B-Spline Approximation (4x4 kernel)"
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QgsRasterDataProvider.ResamplingMethod.Lanczos.__doc__ = "Lanczos windowed sinc interpolation (6x6 kernel)"
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QgsRasterDataProvider.ResamplingMethod.Average.__doc__ = "Average resampling"
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QgsRasterDataProvider.ResamplingMethod.Mode.__doc__ = "Mode (selects the value which appears most often of all the sampled points)"
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QgsRasterDataProvider.ResamplingMethod.Gauss.__doc__ = "Gauss blurring"
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QgsRasterDataProvider.ResamplingMethod.__doc__ = "Resampling method for provider-level resampling.\n\n.. versionadded:: 3.16\n\n" + '* ``Nearest``: ' + QgsRasterDataProvider.ResamplingMethod.Nearest.__doc__ + '\n' + '* ``Bilinear``: ' + QgsRasterDataProvider.ResamplingMethod.Bilinear.__doc__ + '\n' + '* ``Cubic``: ' + QgsRasterDataProvider.ResamplingMethod.Cubic.__doc__ + '\n' + '* ``CubicSpline``: ' + QgsRasterDataProvider.ResamplingMethod.CubicSpline.__doc__ + '\n' + '* ``Lanczos``: ' + QgsRasterDataProvider.ResamplingMethod.Lanczos.__doc__ + '\n' + '* ``Average``: ' + QgsRasterDataProvider.ResamplingMethod.Average.__doc__ + '\n' + '* ``Mode``: ' + QgsRasterDataProvider.ResamplingMethod.Mode.__doc__ + '\n' + '* ``Gauss``: ' + QgsRasterDataProvider.ResamplingMethod.Gauss.__doc__
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# --
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from enum import Enum
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def _force_int(v): return int(v.value) if isinstance(v, Enum) else v
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QgsRasterDataProvider.ProviderCapability.__bool__ = lambda flag: bool(_force_int(flag))
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QgsRasterDataProvider.ProviderCapability.__eq__ = lambda flag1, flag2: _force_int(flag1) == _force_int(flag2)
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QgsRasterDataProvider.ProviderCapability.__and__ = lambda flag1, flag2: _force_int(flag1) & _force_int(flag2)
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QgsRasterDataProvider.ProviderCapability.__or__ = lambda flag1, flag2: QgsRasterDataProvider.ProviderCapability(_force_int(flag1) | _force_int(flag2))
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