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Unimplemented Opcode 66 0F 38 29 C7
Hello,

I am using Box64 v0.2.2 with DynaRec on Rock 5B (RK3588). This might be uncommon software to run, but I wanted to try famsa: https://github.com/refresh-bio/FAMSA
While the precompiled armv8 version (2.1.2) works perfectly, the x86_64 version (v2.2.2, installed with dependencies via `mamba` from the bioconda repository) when ran with an input file, box64 returns an "unimplemented opcode" error:

```
FAMSA (Fast and Accurate Multiple Sequence Alignment)
  version 2.2.2- (2022-10-09)
  S. Deorowicz, A. Debudaj-Grabysz, A. Gudys

2981|0x7fb7a33f94: Unimplemented Opcode (0F 70 C5 00) 66 0F 38 40 D8 66 0F 6F E3 66 0F 62 E3 66 0F
2986|0x7fb7a33f94: Unimplemented Opcode (0F 70 C5 00) 66 0F 38 40 D8 66 0F 6F E3 66 0F 62 E3 66 0F
2983|0x7fb7a33f94: Unimplemented Opcode (0F 70 C5 00) 66 0F 38 40 D8 66 0F 6F E3 66 0F 62 E3 66 0F
2984|0x7fb7a33f94: Unimplemented Opcode (0F 70 C5 00) 66 0F 38 40 D8 66 0F 6F E3 66 0F 62 E3 66 0F
2982|0x7fb7a33f94: Unimplemented Opcode (0F 70 C5 00) 66 0F 38 40 D8 66 0F 6F E3 66 0F 62 E3 66 0F
2985|0x7fb7a33f94: Unimplemented Opcode (0F 70 C5 00) 66 0F 38 40 D8 66 0F 6F E3 66 0F 62 E3 66 0F
2980|0x7fb7a33f94: Unimplemented Opcode (0F 70 C5 00) 66 0F 38 40 D8 66 0F 6F E3 66 0F 62 E3 66 0F
2987|0x7fb7a33f94: Unimplemented Opcode (0F 70 C5 00) 66 0F 38 40 D8 66 0F 6F E3 66 0F 62 E3 66 0F
2975|SIGSEGV @0x7fb6ebca44 (???(0x7fb6ebca44)) (x64pc=0x7fb79c2c7e/[conda_path]/famsa:"/[conda_path]/famsa/_ZN7MSTPrimIL8Distance0EE16mst_to_dendogramERSt6vectorINS1_10mst_edge_tESaIS3_EERS2_IiSaIiEERS2_ISt4pairIiiESaISB_EE + 1662", rsp=0x101ffd060, stack=0x101800000:0x102000000 own=(nil) fp=0x1), for accessing 0x183851f198 (code=1/prot=0), db=0x7fb757e648(0x7fb6ebc930:0x7fb6ebced8/0x7fb79c2bfe:0x7fb79c2d54//[conda_path]famsa/_ZN7MSTPrimIL8Distance0EE16mst_to_dendogramERSt6vectorINS1_10mst_edge_tESaIS3_EERS2_IiSaIiEERS2_ISt4pairIiiESaISB_EE + 1662:clean, hash:2a344a84/2a344a84) handler=(nil)
RAX:0x000000183851f188 RCX:0x0000000000000003 RDX:0x000000003851f1b8 RBX:0x0000000000000001
RSP:0x0000000101ffd060 RBP:0x0000000000000001 RSI:0x0000007fb7c998b0 RDI:0x000000003859ac18
 R8:0x0000000000000000  R9:0x000000003851f180 R10:0x000000003851f160 R11:0x00000000385903e0
R12:0x0000000101ffd0c8 R13:0x00000000ffffffff R14:0x0000000000000018 R15:0x0000000000000001
RSP-0x20:0x0000000101ffd0c8 RSP-0x18:0x0000000000000000 RSP-0x10:0x0000000000000018 RSP-0x08:0x0000007fb79c2c4f
RSP+0x00:0x0000000000000000 RSP+0x08:0x0000000000000001 RSP+0x10:0x0000000000000000 RSP+0x18:0x00000001b7756b48
Segmentation fault
```
I replaced the full executable path with [conda_path]. 
Since everything is open source it might be easier to fix...

My environment is:

```
# Name                    Version                   Build  Channel
_libgcc_mutex             0.1                 conda_forge    conda-forge
_openmp_mutex             4.5                       2_gnu    conda-forge
bzip2                     1.0.8                h7f98852_4    conda-forge
c-ares                    1.18.1               h7f98852_0    conda-forge
ca-certificates           2022.12.7            ha878542_0    conda-forge
curl                      7.88.1               hdc1c0ab_0    conda-forge
famsa                     2.2.2                h9f5acd7_0    bioconda
gettext                   0.21.1               h27087fc_0    conda-forge
keyutils                  1.6.1                h166bdaf_0    conda-forge
krb5                      1.20.1               h81ceb04_0    conda-forge
libcurl                   7.88.1               hdc1c0ab_0    conda-forge
libedit                   3.1.20191231         he28a2e2_2    conda-forge
libev                     4.33                 h516909a_1    conda-forge
libgcc-ng                 12.2.0              h65d4601_19    conda-forge
libgomp                   12.2.0              h65d4601_19    conda-forge
libidn2                   2.3.4                h166bdaf_0    conda-forge
libnghttp2                1.52.0               h61bc06f_0    conda-forge
libnsl                    2.0.0                h7f98852_0    conda-forge
libssh2                   1.10.0               hf14f497_3    conda-forge
libstdcxx-ng              12.2.0              h46fd767_19    conda-forge
libunistring              0.9.10               h7f98852_0    conda-forge
libzlib                   1.2.13               h166bdaf_4    conda-forge
ncurses                   6.3                  h27087fc_1    conda-forge
openssl                   3.0.8                h0b41bf4_0    conda-forge
pcre                      8.45                 h9c3ff4c_0    conda-forge
perl                      5.32.1          2_h7f98852_perl5    conda-forge
perl-archive-tar          2.40            pl5321hdfd78af_0    bioconda
perl-carp                 1.50            pl5321hd8ed1ab_0    conda-forge
perl-common-sense         3.75            pl5321hd8ed1ab_0    conda-forge
perl-compress-raw-bzip2   2.201           pl5321h166bdaf_0    conda-forge
perl-compress-raw-zlib    2.202           pl5321h166bdaf_0    conda-forge
perl-encode               3.19            pl5321h166bdaf_0    conda-forge
perl-exporter             5.74            pl5321hd8ed1ab_0    conda-forge
perl-exporter-tiny        1.002002        pl5321hd8ed1ab_0    conda-forge
perl-extutils-makemaker   7.66            pl5321hd8ed1ab_0    conda-forge
perl-io-compress          2.201           pl5321h87f3376_0    bioconda
perl-io-zlib              1.14            pl5321hdfd78af_0    bioconda
perl-json                 4.10            pl5321hdfd78af_0    bioconda
perl-json-xs              2.34            pl5321h9f5acd7_5    bioconda
perl-list-moreutils       0.430           pl5321hdfd78af_0    bioconda
perl-list-moreutils-xs    0.430           pl5321hec16e2b_1    bioconda
perl-parent               0.241           pl5321hd8ed1ab_0    conda-forge
perl-pathtools            3.75            pl5321h166bdaf_0    conda-forge
perl-scalar-list-utils    1.63            pl5321h166bdaf_0    conda-forge
perl-storable             3.15            pl5321h166bdaf_0    conda-forge
perl-types-serialiser     1.01            pl5321hdfd78af_0    bioconda
wget                      1.20.3               ha35d2d1_1    conda-forge
zlib                      1.2.13               h166bdaf_4    conda-forge
```

Most packages are from `linux-64`, some (perl) are `noarch`. 

Thank you for box64!