sjperkins commented on a change in pull request #8510:
URL: https://github.com/apache/arrow/pull/8510#discussion_r722148585
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File path: cpp/src/arrow/extension_type_test.cc
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@@ -333,4 +334,144 @@ TEST_F(TestExtensionType, ValidateExtensionArray) {
ASSERT_OK(ext_arr4->ValidateFull());
}
+class TensorArray : public ExtensionArray {
+ public:
+ using ExtensionArray::ExtensionArray;
+};
+
+class TensorArrayType : public ExtensionType {
+ public:
+ explicit TensorArrayType(const std::shared_ptr<DataType>& type,
+ const std::vector<int64_t>& shape,
+ const std::vector<int64_t>& strides)
+ : ExtensionType(type), type_(type), shape_(shape), strides_(strides) {}
+
+ std::shared_ptr<DataType> type() const { return type_; }
+ std::vector<int64_t> shape() const { return shape_; }
+ std::vector<int64_t> strides() const { return strides_; }
+
+ std::string extension_name() const override {
+ std::stringstream s;
+ s << "ext-array-tensor-type<type=" << *storage_type() << ", shape=(";
+ for (uint64_t i = 0; i < shape_.size(); i++) {
+ s << shape_[i];
+ if (i < shape_.size() - 1) {
+ s << ", ";
+ }
+ }
+ s << "), strides=(";
+ for (uint64_t i = 0; i < strides_.size(); i++) {
+ s << strides_[i];
+ if (i < strides_.size() - 1) {
+ s << ", ";
+ }
+ }
+ s << ")>";
+ return s.str();
+ }
+
+ bool ExtensionEquals(const ExtensionType& other) const override {
+ return this->shape() == static_cast<const TensorArrayType&>(other).shape();
Review comment:
> Ah, I misunderstood your suggestion. Why would you need it so loose?
Practically speaking, this means that one cannot have for e.g. a `(10, 5,
4)` shape Tensor and a `(10, 6, 2)` Tensor in separate parquet files in the
same dataset -- IIRC the Dataset API will complain that their metadata doesn't
agree (due to the strict equality comparison). I do run into these sort of
cases in the datasets that I deal with.
More formally, I would argue that parameterising Tensors Types on `shape`
and `stride` introduces an infinite number of parameterisations and I'm not
sure that this class of parameterisations is useful. This doesn't imply that
`shape` and `stride` should not be attributes on a Tensor Type!
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