LiangYan3612

/

ciai_env

like 0

• "numpy.dtype",
• "numpy.ndarray",
• "numpy.core.multiarray._reconstruct",
• "__builtin__.xrange",
• "numpy.dtype",
• "numpy.ndarray",
• "__builtin__.xrange",
• "numpy.core._internal._reconstruct",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray",
• "builtins.range",
• "numpy.dtype",
• "numpy.dtype",
• "numpy.ndarray",
• "numpy.core.multiarray._reconstruct"

How to fix it?

• "builtins.list",
• "collections.defaultdict",
• "builtins.list",
• "collections.defaultdict",
• "builtins.list",
• "collections.defaultdict",
• "builtins.list",
• "collections.defaultdict",
• "numpy.matrixlib.defmatrix.matrix",
• "joblib.numpy_pickle.NDArrayWrapper",
• "numpy.ndarray",
• "numpy.dtype",
• "numpy.ndarray",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.matrixlib.defmatrix.matrix",
• "joblib.numpy_pickle.NDArrayWrapper",
• "numpy.ndarray",
• "numpy.dtype",
• "numpy.ndarray",
• "numpy.core.multiarray._reconstruct",
• "_codecs.encode",
• "numpy.dtype",
• "numpy.ndarray",
• "numpy.core.multiarray._reconstruct",
• "_codecs.encode",
• "numpy.dtype",
• "numpy.ndarray",
• "numpy.core.multiarray._reconstruct",
• "numpy.dtype",
• "numpy.ndarray",
• "numpy.core.multiarray._reconstruct",
• "_codecs.encode",
• "numpy.matrixlib.defmatrix.matrix",
• "joblib.numpy_pickle.NDArrayWrapper",
• "numpy.ndarray",
• "numpy.dtype",
• "numpy.ndarray",
• "numpy.core.multiarray._reconstruct",
• "numpy.dtype",
• "numpy.ndarray",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.matrixlib.defmatrix.matrix",
• "joblib.numpy_pickle.NDArrayWrapper",
• "numpy.ndarray",
• "numpy.dtype",
• "numpy.ndarray",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.dtype",
• "numpy.ndarray",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.dtype",
• "numpy.ndarray",
• "joblib.numpy_pickle.NumpyArrayWrapper",
• "numpy.matrixlib.defmatrix.matrix",
• "joblib.numpy_pickle.NDArrayWrapper",
• "numpy.ndarray",
• "numpy._core.multiarray._reconstruct",
• "numpy.ndarray",
• "numpy.dtype",
• "numpy.dtype",
• "numpy.ndarray",
• "numpy.core.multiarray._reconstruct",
• "numpy.core.multiarray._reconstruct",
• "_codecs.encode",
• "numpy.dtype",
• "__builtin__.xrange",
• "numpy.ndarray",
• "numpy.dtype",
• "numpy.ndarray",
• "numpy.core.multiarray._reconstruct",
• "__builtin__.xrange",
• "pandas.core.indexes.base.Index",
• "pandas.core.indexes.base._new_Index",
• "numpy.core.multiarray._reconstruct",
• "numpy.dtype",
• "pandas.core.internals.managers.BlockManager",
• "numpy.ndarray",
• "pandas.core.frame.DataFrame",
• "pandas.core.indexes.frozen.FrozenNDArray",
• "__builtin__.slice",
• "pandas.core.indexes.multi.MultiIndex",
• "pandas.core.internals.BlockManager",
• "numpy.core.multiarray._reconstruct",
• "pandas.core.indexes.base._new_Index",
• "pandas.core.indexes.base.Index",
• "numpy.dtype",
• "pandas.core.indexes.range.RangeIndex",
• "numpy.ndarray",
• "pandas.core.frame.DataFrame",
• "pandas.core.indexes.range.RangeIndex",
• "__builtin__.slice",
• "pandas.core.indexes.base.Index",
• "pandas.core.indexes.base._new_Index",
• "numpy.core.multiarray._reconstruct",
• "numpy.dtype",
• "pandas.core.internals.managers.BlockManager",
• "numpy.ndarray",
• "pandas.core.frame.DataFrame",
• "torch._utils._rebuild_tensor_v2",
• "torch.FloatStorage",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "torch.FloatStorage",
• "collections.OrderedDict",
• "torch._utils._rebuild_tensor_v2",
• "torch.FloatStorage",
• "collections.OrderedDict"

How to fix it?