```
where `d = n - m`, `diag_index = k[1] - d`, and `index_in_diag = n - max(d, 0)`.

For example:

```
# The main diagonal.
input = np.array([[[7, 7, 7, 7],              # Input shape: (2, 3, 4)
                   [7, 7, 7, 7],
                   [7, 7, 7, 7]],
                  [[7, 7, 7, 7],
                   [7, 7, 7, 7],
                   [7, 7, 7, 7]]])

        "properties": {
          "defaultMode": {

*   Fixes a use after free and a potential segfault in shape inference functions
    ([CVE-2021-37690](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-37690))
*   Updates `curl` to `7.77.0` to handle
    [CVE-2021-22876](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-22876),
    [CVE-2021-22897](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-22897),

	RPC_X_SS_IN_NULL_CONTEXT                                                  syscall.Errno = 1775
	RPC_X_SS_CONTEXT_DAMAGED                                                  syscall.Errno = 1777
	RPC_X_SS_HANDLES_MISMATCH                                                 syscall.Errno = 1778
	RPC_X_SS_CANNOT_GET_CALL_HANDLE                                           syscall.Errno = 1779

FA9B          ; mapped                 ; 701E          # 4.1  CJK COMPATIBILITY IDEOGRAPH-FA9B
FA9C          ; mapped                 ; 716E          # 4.1  CJK COMPATIBILITY IDEOGRAPH-FA9C
FA9D          ; mapped                 ; 77A7          # 4.1  CJK COMPATIBILITY IDEOGRAPH-FA9D
FA9E          ; mapped                 ; 7235          # 4.1  CJK COMPATIBILITY IDEOGRAPH-FA9E