We are trying to make a wrapper of MLIR for Julia in
https://github.com/JuliaLabs/MLIR.jl, but some dialects are missing in
`libMLIR-C`. This PR adds them.
This PR is quite similiar to #174700.
In this PR, I added a C API for each (upstream) MLIR attributes to
retrieve its name (for example, `StringAttr -> mlirStringAttrGetName()
-> "builtin.string"`), and exposed a corresponding type_name class
attribute in the Python bindings (e.g., `StringAttr.attr_name ->
"builtin.string"`). This can be used in various places to avoid
hard-coded strings, such as eliminating the manual string in
`irdl.base("#builtin.string")`.
Note that parts of this PR (mainly mechanical changes) were produced via
GitHub Copilot and GPT-5.2. I have manually reviewed the changes and
verified them with tests to ensure correctness.
In this PR, I added a C API for each (upstream) MLIR type to retrieve
its type name (for example, `IntegerType` -> `mlirIntegerTypeGetName()`
-> `"builtin.integer"`), and exposed a corresponding `type_name` class
attribute in the Python bindings (e.g., `IntegerType.type_name` ->
`"builtin.integer"`). This can be used in various places to avoid
hard-coded strings, such as eliminating the manual string in
`irdl.base("!builtin.integer")`.
Note that parts of this PR (mainly mechanical changes) were produced via
GitHub Copilot and GPT-5.2. I have manually reviewed the changes and
verified them with tests to ensure correctness.
