<table border="1" cellspacing="0" cellpadding="8">
    <tr>
        <th>Issue</th>
        <td>
            <a href=https://github.com/llvm/llvm-project/issues/107202>107202</a>
        </td>
    </tr>

    <tr>
        <th>Summary</th>
        <td>
            [mlir][sparse] `disassemble` of COO returns incorrect shape of `%index` with Python bindings
        </td>
    </tr>

    <tr>
      <th>Labels</th>
      <td>
            mlir
      </td>
    </tr>

    <tr>
      <th>Assignees</th>
      <td>
      </td>
    </tr>

    <tr>
      <th>Reporter</th>
      <td>
          mtsokol
      </td>
    </tr>
</table>

<pre>
    Hi! 

I noticed that in Python disassembling COO format, when `pos` and `index` shapes are dynamic returns an incorrect shape for `index`:

```mlir
%c0 = arith.constant 0 : index
%pos = tensor.empty(%c0) : tensor<?xindex>
%c0_0 = arith.constant 0 : index
%index = tensor.empty(%c0_0) : tensor<?x2xindex> 
```

The shape of `index` tensor is always `[0, 2]` where it should be `[nnz, 2]`. Here's a Python script that fully reproduces the issue:
https://gist.github.com/mtsokol/af61fd0c6fbe885cb7db417ba0e3800a

Tested on LLVM `19.1.0-rc3`
</pre>
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