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Implement Array for ArrayRef, Improve as_* kernels to take &dyn Array
#1129
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Original file line number | Diff line number | Diff line change |
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@@ -26,7 +26,7 @@ use pyo3::import_exception; | |
use pyo3::prelude::*; | ||
use pyo3::types::PyList; | ||
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use crate::array::{make_array, Array, ArrayData, ArrayRef}; | ||
use crate::array::{Array, ArrayData, ArrayRef}; | ||
use crate::datatypes::{DataType, Field, Schema}; | ||
use crate::error::ArrowError; | ||
use crate::ffi; | ||
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@@ -148,16 +148,6 @@ impl PyArrowConvert for ArrayData { | |
} | ||
} | ||
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impl PyArrowConvert for ArrayRef { | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. this is now covered by the impl of |
||
fn from_pyarrow(value: &PyAny) -> PyResult<Self> { | ||
Ok(make_array(ArrayData::from_pyarrow(value)?)) | ||
} | ||
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fn to_pyarrow(&self, py: Python) -> PyResult<PyObject> { | ||
self.data().to_pyarrow(py) | ||
} | ||
} | ||
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impl<T> PyArrowConvert for T | ||
where | ||
T: Array + From<ArrayData>, | ||
|
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As
ArrayRef
now implementsArray
all previous calls to this function will still compile and we can also pass&dyn Array
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FWIW this change means that calls that pass in a
&ArrayRef
will generate an extra dispatch as pointed out by @tustvold on #1128 (comment) -- this can be avoided by the user callingas_primitive_array(arr.as_ref())
oras_primitive_array(&*arr)
if it is important to avoid the double dispatch