Displaying 4 results from an estimated 4 matches for "import_t".
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import_c
2013 Nov 27
0
[PATCH 1/4] efi: Fix PE header field rva_and_sizes_nr
...AG2] != ELFMAG2 ||
diff --git a/efi/wrapper.h b/efi/wrapper.h
index 4f76991..0e6b38e 100644
--- a/efi/wrapper.h
+++ b/efi/wrapper.h
@@ -102,12 +102,14 @@ struct extra_hdr {
__uint32_t heap_commit_sz;
__uint32_t loader_flags;
__uint32_t rva_and_sizes_nr;
- __uint64_t export_table;
- __uint64_t import_table;
- __uint64_t resource_table;
- __uint64_t exception_table;
- __uint64_t certification_table;
- __uint64_t base_relocation_table;
+ struct {
+ __uint64_t export_table;
+ __uint64_t import_table;
+ __uint64_t resource_table;
+ __uint64_t exception_table;
+ __uint64_t certification_table;
+...
2013 Dec 01
0
[PATCH v2 1/4] efi: Fix PE header field rva_and_sizes_nr
...AG2] != ELFMAG2 ||
diff --git a/efi/wrapper.h b/efi/wrapper.h
index 4f76991..0e6b38e 100644
--- a/efi/wrapper.h
+++ b/efi/wrapper.h
@@ -102,12 +102,14 @@ struct extra_hdr {
__uint32_t heap_commit_sz;
__uint32_t loader_flags;
__uint32_t rva_and_sizes_nr;
- __uint64_t export_table;
- __uint64_t import_table;
- __uint64_t resource_table;
- __uint64_t exception_table;
- __uint64_t certification_table;
- __uint64_t base_relocation_table;
+ struct {
+ __uint64_t export_table;
+ __uint64_t import_table;
+ __uint64_t resource_table;
+ __uint64_t exception_table;
+ __uint64_t certification_table;
+...
2013 Nov 27
20
[PATCH 0/4] efi: PE header generation fix
The PE headers of the generated efi file were quite buggy. And since OVMF
perform a few consistency checks, syslinux was unable to run on it. I don't
pretend to have a thorough understanding of the PE+ headers, some bugs may
remain. :)
Celelibi (4):
efi: Fix PE header field rva_and_sizes_nr
efi: Location, size and alignment of .text section
efi: Useless relocations in PE file
efi: PE
2006 May 10
1
help with writing output from two different arrays to two columns in an output file
Hi,
I am very new to R and I have written the following block of code to
generate a gamma distribution for variable x (which is an array) and a
function "y" whose array values depend on the individual array values of
"x".
The code is as follows:
n=1000
x=rgamma(n,1.5,2)
y=vector("numeric",n)
for (i in 1:n){
y[i]=(2937/50000*exp(-1/1000*x[i])/x[i])
}
now I want to