[python-package] remove unused functions in xgboost.data (#8695)
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@ -52,14 +52,6 @@ def _warn_unused_missing(data: DataType, missing: Optional[FloatCompatible]) ->
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def _check_complex(data: DataType) -> None:
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'''Test whether data is complex using `dtype` attribute.'''
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complex_dtypes = (np.complex128, np.complex64,
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np.cfloat, np.cdouble, np.clongdouble)
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if hasattr(data, 'dtype') and data.dtype in complex_dtypes:
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raise ValueError('Complex data not supported')
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def _check_data_shape(data: DataType) -> None:
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def _check_data_shape(data: DataType) -> None:
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if hasattr(data, "shape") and len(data.shape) != 2:
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if hasattr(data, "shape") and len(data.shape) != 2:
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raise ValueError("Please reshape the input data into 2-dimensional matrix.")
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raise ValueError("Please reshape the input data into 2-dimensional matrix.")
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@ -1023,15 +1015,6 @@ def dispatch_data_backend(
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raise TypeError('Not supported type for data.' + str(type(data)))
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raise TypeError('Not supported type for data.' + str(type(data)))
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def _to_data_type(dtype: str, name: str) -> int:
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dtype_map = {'float32': 1, 'float64': 2, 'uint32': 3, 'uint64': 4}
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if dtype not in dtype_map:
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raise TypeError(
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f'Expecting float32, float64, uint32, uint64, got {dtype} ' +
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f'for {name}.')
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return dtype_map[dtype]
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def _validate_meta_shape(data: DataType, name: str) -> None:
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def _validate_meta_shape(data: DataType, name: str) -> None:
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if hasattr(data, "shape"):
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if hasattr(data, "shape"):
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msg = f"Invalid shape: {data.shape} for {name}"
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msg = f"Invalid shape: {data.shape} for {name}"
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