user: 请将这段汇编代码片段转换成等效的C代码：

```asm
<fp_help>:
  endbr64
  push   %rbp
  lea    D509(%rip),%rdi
  lea    D392(%rip),%rbp
  call   <fp_msg@plt>
  xor    %eax,%eax
  call   <fp_version@plt>
  xor    %eax,%eax
  call   <fp_usage@plt>
  mov    %rbp,%rdi
  call   <fp_msg@plt>
  lea    D480(%rip),%rdi
  call   <fp_msg@plt>
  lea    D270(%rip),%rdi
  call   <fp_msg@plt>
  lea    D533(%rip),%rdi
  call   <fp_msg@plt>
  mov    %rbp,%rdi
  call   <fp_msg@plt>
  lea    D507(%rip),%rdi
  call   <fp_msg@plt>
  lea    D515(%rip),%rdi
  call   <fp_msg@plt>
  lea    D354(%rip),%rdi
  call   <fp_msg@plt>
  lea    D310(%rip),%rdi
  call   <fp_msg@plt>
  lea    D296(%rip),%rdi
  call   <fp_msg@plt>
  lea    D475(%rip),%rdi
  call   <fp_msg@plt>
  lea    D171(%rip),%rdi
  call   <fp_msg@plt>
  lea    D508(%rip),%rdi
  call   <fp_msg@plt>
  lea    D224(%rip),%rdi
  call   <fp_msg@plt>
  lea    D33(%rip),%rdi
  call   <fp_msg@plt>
  lea    D197(%rip),%rdi
  call   <fp_msg@plt>
  lea    D445(%rip),%rdi
  call   <fp_msg@plt>
  lea    D493(%rip),%rdi
  call   <fp_msg@plt>
  lea    D565(%rip),%rdi
  call   <fp_msg@plt>
  lea    D426(%rip),%rdi
  call   <fp_msg@plt>
  lea    D418(%rip),%rdi
  call   <fp_msg@plt>
  lea    D63(%rip),%rdi
  call   <fp_msg@plt>
  lea    D433(%rip),%rdi
  call   <fp_msg@plt>
  lea    D355(%rip),%rdi
  call   <fp_msg@plt>
  lea    D256(%rip),%rdi
  call   <fp_msg@plt>
  lea    D233(%rip),%rdi
  call   <fp_msg@plt>
  lea    D554(%rip),%rdi
  call   <fp_msg@plt>
  lea    D114(%rip),%rdi
  call   <fp_msg@plt>
  lea    D68(%rip),%rdi
  call   <fp_msg@plt>
  lea    D510(%rip),%rdi
  call   <fp_msg@plt>
  lea    D444(%rip),%rdi
  call   <fp_msg@plt>
  lea    D220(%rip),%rdi
  call   <fp_msg@plt>
  lea    D311(%rip),%rdi
  call   <fp_msg@plt>
  lea    D131(%rip),%rdi
  call   <fp_msg@plt>
  lea    D283(%rip),%rdi
  call   <fp_msg@plt>
  lea    D309(%rip),%rdi
  call   <fp_msg@plt>
  lea    D326(%rip),%rdi
  call   <fp_msg@plt>
  lea    D473(%rip),%rdi
  call   <fp_msg@plt>
  lea    D241(%rip),%rdi
  call   <fp_msg@plt>
  lea    D28(%rip),%rdi
  call   <fp_msg@plt>
  lea    D513(%rip),%rdi
  call   <fp_msg@plt>
  lea    D137(%rip),%rdi
  call   <fp_msg@plt>
  lea    D221(%rip),%rdi
  call   <fp_msg@plt>
  lea    D576(%rip),%rdi
  call   <fp_msg@plt>
  lea    D294(%rip),%rdi
  call   <fp_msg@plt>
  lea    D237(%rip),%rdi
  call   <fp_msg@plt>
  lea    D13(%rip),%rdi
  call   <fp_msg@plt>
  lea    D120(%rip),%rdi
  call   <fp_msg@plt>
  lea    D388(%rip),%rdi
  call   <fp_msg@plt>
  lea    D325(%rip),%rdi
  call   <fp_msg@plt>
  lea    D356(%rip),%rdi
  call   <fp_msg@plt>
  lea    D246(%rip),%rdi
  call   <fp_msg@plt>
  lea    D188(%rip),%rdi
  call   <fp_msg@plt>
  lea    D410(%rip),%rdi
  call   <fp_msg@plt>
  lea    D532(%rip),%rdi
  call   <fp_msg@plt>
  lea    D91(%rip),%rdi
  call   <fp_msg@plt>
  lea    D282(%rip),%rdi
  call   <fp_msg@plt>
  lea    D118(%rip),%rdi
  call   <fp_msg@plt>
  xor    %eax,%eax
  pop    %rbp
  ret
```

tool_calls: name: read_data
arguments: label: D509
data_type: string
name: read_data
arguments: label: D392
data_type: string
name: read_data
arguments: label: D480
data_type: string
name: read_data
arguments: label: D270
data_type: string
name: read_data
arguments: label: D533
data_type: string
name: read_data
arguments: label: D507
data_type: string
name: read_data
arguments: label: D515
data_type: string
name: read_data
arguments: label: D354
data_type: string
name: read_data
arguments: label: D310
data_type: string
name: read_data
arguments: label: D296
data_type: string
name: read_data
arguments: label: D475
data_type: string
name: read_data
arguments: label: D171
data_type: string
name: read_data
arguments: label: D508
data_type: string
name: read_data
arguments: label: D224
data_type: string
name: read_data
arguments: label: D33
data_type: string
name: read_data
arguments: label: D197
data_type: string
name: read_data
arguments: label: D445
data_type: string
name: read_data
arguments: label: D493
data_type: string
name: read_data
arguments: label: D565
data_type: string
name: read_data
arguments: label: D426
data_type: string
name: read_data
arguments: label: D418
data_type: string
name: read_data
arguments: label: D63
data_type: string
name: read_data
arguments: label: D433
data_type: string
name: read_data
arguments: label: D355
data_type: string
name: read_data
arguments: label: D256
data_type: string
name: read_data
arguments: label: D233
data_type: string
name: read_data
arguments: label: D554
data_type: string
name: read_data
arguments: label: D114
data_type: string
name: read_data
arguments: label: D68
data_type: string
name: read_data
arguments: label: D510
data_type: string
name: read_data
arguments: label: D444
data_type: string
name: read_data
arguments: label: D220
data_type: string
name: read_data
arguments: label: D311
data_type: string
name: read_data
arguments: label: D131
data_type: string
name: read_data
arguments: label: D283
data_type: string
name: read_data
arguments: label: D309
data_type: string
name: read_data
arguments: label: D326
data_type: string
name: read_data
arguments: label: D473
data_type: string
name: read_data
arguments: label: D241
data_type: string
name: read_data
arguments: label: D28
data_type: string
name: read_data
arguments: label: D513
data_type: string
name: read_data
arguments: label: D137
data_type: string
name: read_data
arguments: label: D221
data_type: string
name: read_data
arguments: label: D576
data_type: string
name: read_data
arguments: label: D294
data_type: string
name: read_data
arguments: label: D237
data_type: string
name: read_data
arguments: label: D13
data_type: string
name: read_data
arguments: label: D120
data_type: string
name: read_data
arguments: label: D388
data_type: string
name: read_data
arguments: label: D325
data_type: string
name: read_data
arguments: label: D356
data_type: string
name: read_data
arguments: label: D246
data_type: string
name: read_data
arguments: label: D188
data_type: string
name: read_data
arguments: label: D410
data_type: string
name: read_data
arguments: label: D532
data_type: string
name: read_data
arguments: label: D91
data_type: string
name: read_data
arguments: label: D282
data_type: string
name: read_data
arguments: label: D118
data_type: string

tool: D509: fpack, a FITS image compression program.  Version 

tool: D392: 


tool: D480: NOTE: the compression parameters specified on the fpack command line may


tool: D270: be over-ridden by compression directive keywords in the header of each HDU


tool: D533: of the input file(s). See the fpack User's Guide for more details


tool: D507: Flags must be separate and appear before filenames:


tool: D515:  -r          Rice compression [default], or


tool: D354:  -h          Hcompress compression, or


tool: D310:  -g  or -g1  GZIP_1 (per-tile) compression, or


tool: D296:  -g2         GZIP_2 (per-tile) compression (with byte shuffling), or


tool: D475:  -p          PLIO compression (only for positive 8 or 16-bit integer images).


tool: D171:  -d          Tile the image without compression (debugging mode).


tool: D508:  -w          Compress the whole image as a single large tile.


tool: D224:  -t <axes>   Comma separated list of tile dimensions [default is row by row].


tool: D33:  -q <level>  Quantized level spacing when converting floating point images to


tool: D197:              scaled integers. (+value relative to sigma of background noise;


tool: D445:              -value is absolute). Default q value of 4 gives a compression ratio


tool: D493:              of about 6 with very high fidelity (only 0.26% increase in noise).


tool: D565:              Using q values of  2, or 1 will give compression ratios of


tool: D426:              about 8, or 10, respectively (with 1.0% or 4.1% noise increase).


tool: D418:              The scaled quantized values are randomly dithered using a seed 


tool: D63:              value determined from the system clock at run time.


tool: D433:              Use -q0 instead of -q to suppress random dithering.


tool: D355:              Use -qz instead of -q to not dither zero-valued pixels.


tool: D256:              Use -qt or -qzt to compute random dithering seed from first tile checksum.


tool: D233:              Use -qN or -qzN, (N in range 1 to 10000) to use a specific dithering seed.


tool: D554:              Floating-point images can be losslessly compressed by selecting


tool: D114:              the GZIP algorithm and specifying -q 0, but this is slower and often


tool: D68:              produces much less compression than the default quantization method.


tool: D510:  -i2f        Convert integer images to floating point, then quantize and compress


tool: D444:              using the specified q level.  When used appropriately, this lossy


tool: D220:              compression method can give much better compression than the normal


tool: D311:              lossless compression methods without significant loss of information.


tool: D131:              The -n3ratio and -n3min flags control the minimum noise thresholds;


tool: D283:              Images below these thresholds will be losslessly compressed.


tool: D309:  -n3ratio    Minimum ratio of background noise sigma divided by q.  Default = 2.0.


tool: D326:  -n3min      Minimum background noise sigma. Default = 6. The -i2f flag will be ignored


tool: D473:              if the noise level in the image does not exceed both thresholds.


tool: D241:  -s <scale>  Scale factor for lossy Hcompress [default = 0 = lossless]


tool: D28:              (+values relative to RMS noise; -value is absolute)


tool: D513:  -n <noise>  Rescale scaled-integer images to reduce noise and improve compression.


tool: D137:  -v          Verbose mode; list each file as it is processed.


tool: D221:  -T          Show compression algorithm comparison test statistics; files unchanged.


tool: D576:  -R <file>   Write the comparison test report (above) to a text file.


tool: D294:  -table      Compress FITS binary tables as well as compress any image HDUs.


tool: D237:  -tableonly  Compress only FITS binary tables; do not compress any image HDUs.


tool: D13:              


tool: D120: 
keywords shared with funpack:


tool: D388:  -F          Overwrite input file by output file with same name.


tool: D325:  -D          Delete input file after writing output.


tool: D356:  -Y          Suppress prompts to confirm -F or -D options.


tool: D246:  -S          Output compressed FITS files to STDOUT.


tool: D188:  -L          List contents; files unchanged.


tool: D410:  -C          Don't update FITS checksum keywords.


tool: D532:  -H          Show this message.


tool: D91:  -V          Show version number.


tool: D282: 
 <FITS>      FITS files to pack; enter '-' (a hyphen) to read input from stdin stream.


tool: D118:  Refer to the fpack User's Guide for more extensive help.


assistant: ```c
int fp_help(void) {
  fp_msg("fpack, a FITS image compression program.  Version ");
  fp_version();
  fp_usage();
  fp_msg("\n");
  fp_msg("NOTE: the compression parameters specified on the fpack command line may\n");
  fp_msg("be over-ridden by compression directive keywords in the header of each HDU\n");
  fp_msg("of the input file(s). See the fpack User's Guide for more details\n");
  fp_msg("\n");
  fp_msg("Flags must be separate and appear before filenames:\n");
  fp_msg(" -r          Rice compression [default], or\n");
  fp_msg(" -h          Hcompress compression, or\n");
  fp_msg(" -g  or -g1  GZIP_1 (per-tile) compression, or\n");
  fp_msg(" -g2         GZIP_2 (per-tile) compression (with byte shuffling), or\n");
  fp_msg(" -p          PLIO compression (only for positive 8 or 16-bit integer images).\n");
  fp_msg(" -d          Tile the image without compression (debugging mode).\n");
  fp_msg(" -w          Compress the whole image as a single large tile.\n");
  fp_msg(" -t <axes>   Comma separated list of tile dimensions [default is row by row].\n");
  fp_msg(" -q <level>  Quantized level spacing when converting floating point images to\n");
  fp_msg("             scaled integers. (+value relative to sigma of background noise;\n");
  fp_msg("             -value is absolute). Default q value of 4 gives a compression ratio\n");
  fp_msg("             of about 6 with very high fidelity (only 0.26% increase in noise).\n");
  fp_msg("             Using q values of  2, or 1 will give compression ratios of\n");
  fp_msg("             about 8, or 10, respectively (with 1.0% or 4.1% noise increase).\n");
  fp_msg("             The scaled quantized values are randomly dithered using a seed \n");
  fp_msg("             value determined from the system clock at run time.\n");
  fp_msg("             Use -q0 instead of -q to suppress random dithering.\n");
  fp_msg("             Use -qz instead of -q to not dither zero-valued pixels.\n");
  fp_msg("             Use -qt or -qzt to compute random dithering seed from first tile checksum.\n");
  fp_msg("             Use -qN or -qzN, (N in range 1 to 10000) to use a specific dithering seed.\n");
  fp_msg("             Floating-point images can be losslessly compressed by selecting\n");
  fp_msg("             the GZIP algorithm and specifying -q 0, but this is slower and often\n");
  fp_msg("             produces much less compression than the default quantization method.\n");
  fp_msg(" -i2f        Convert integer images to floating point, then quantize and compress\n");
  fp_msg("             using the specified q level.  When used appropriately, this lossy\n");
  fp_msg("             compression method can give much better compression than the normal\n");
  fp_msg("             lossless compression methods without significant loss of information.\n");
  fp_msg("             The -n3ratio and -n3min flags control the minimum noise thresholds;\n");
  fp_msg("             Images below these thresholds will be losslessly compressed.\n");
  fp_msg(" -n3ratio    Minimum ratio of background noise sigma divided by q.  Default = 2.0.\n");
  fp_msg(" -n3min      Minimum background noise sigma. Default = 6. The -i2f flag will be ignored\n");
  fp_msg("             if the noise level in the image does not exceed both thresholds.\n");
  fp_msg(" -s <scale>  Scale factor for lossy Hcompress [default = 0 = lossless]\n");
  fp_msg("             (+values relative to RMS noise; -value is absolute)\n");
  fp_msg(" -n <noise>  Rescale scaled-integer images to reduce noise and improve compression.\n");
  fp_msg(" -v          Verbose mode; list each file as it is processed.\n");
  fp_msg(" -T          Show compression algorithm comparison test statistics; files unchanged.\n");
  fp_msg(" -R <file>   Write the comparison test report (above) to a text file.\n");
  fp_msg(" -table      Compress FITS binary tables as well as compress any image HDUs.\n");
  fp_msg(" -tableonly  Compress only FITS binary tables; do not compress any image HDUs.\n");
  fp_msg("             \n");
  fp_msg("\nkeywords shared with funpack:\n");
  fp_msg(" -F          Overwrite input file by output file with same name.\n");
  fp_msg(" -D          Delete input file after writing output.\n");
  fp_msg(" -Y          Suppress prompts to confirm -F or -D options.\n");
  fp_msg(" -S          Output compressed FITS files to STDOUT.\n");
  fp_msg(" -L          List contents; files unchanged.\n");
  fp_msg(" -C          Don't update FITS checksum keywords.\n");
  fp_msg(" -H          Show this message.\n");
  fp_msg(" -V          Show version number.\n");
  fp_msg("\n <FITS>      FITS files to pack; enter '-' (a hyphen) to read input from stdin stream.\n");
  fp_msg(" Refer to the fpack User's Guide for more extensive help.\n");
  return (0);
}
```