#define NULL ((void *)0)
typedef unsigned long size_t; // Customize by platform.
typedef long intptr_t;
typedef unsigned long uintptr_t;
typedef long scalar_t__; // Either arithmetic or pointer type.
/* By default, we understand bool (as a convenience). */
typedef int bool;
#define false 0
#define true 1

/* Forward declarations */

/* Type definitions */

/* Variables and functions */
int /*<<< orphan*/ exit(int);
int /*<<< orphan*/ printf(char *);
void exit_with_help() {
  printf(
      "\n  \033[1mUSAGE\033[0m\n\n    dpmcreate [OPTION...]\n\n"
      "  \033[1mREQUIRED OPTIONS\033[0m\n\n"
      "    --positive-list : text file contains a list of positive files in "
      "format:\n"
      "                      <file name> x y width height \\newline\n"
      "    --background-list : text file contains a list of image files that "
      "don't contain any target objects\n"
      "    --negative-count : the number of negative examples we should "
      "collect from background files to initialize SVM\n"
      "    --model-component : the number of root filters in our mixture "
      "model\n"
      "    --model-part : the number of part filters for each root filter\n"
      "    --working-dir : the directory to save progress and produce result "
      "model\n"
      "    --symmetric : 0 or 1, whether to exploit symmetric property of the "
      "object\n\n"
      "  \033[1mOTHER OPTIONS\033[0m\n\n"
      "    --base-dir : change the base directory so that the program can read "
      "images from there\n"
      "    --iterations : how many iterations are needed for stochastic "
      "gradient descent [DEFAULT TO 1000]\n"
      "    --data-minings : how many data mining procedures are needed for "
      "discovering hard examples [DEFAULT TO 100]\n"
      "    --relabels : how many relabel procedures are needed [DEFAULT TO 5]\n"
      "    --alpha : the step size for stochastic gradient descent [DEFAULT TO "
      "0.01]\n"
      "    --alpha-ratio : decrease the step size for each iteration [DEFAULT "
      "TO 0.995]\n"
      "    --margin-c : the famous C in SVM [DEFAULT TO 0.002]\n"
      "    --balance : to balance the weight of positive examples and negative "
      "examples [DEFAULT TO 1.5]\n"
      "    --negative-cache-size : the cache size for negative examples it "
      "should be smaller than negative-count and larger than 100 [DEFAULT TO "
      "2000]\n"
      "    --include-overlap : the percentage of overlap between expected "
      "bounding box and the bounding box from detection. Beyond this "
      "threshold, it is ensured to be the same object [DEFAULT TO 0.7]\n"
      "    --grayscale : 0 or 1, whether to exploit color in a given image "
      "[DEFAULT TO 0]\n"
      "    --percentile-breakdown : 0.00 - 1.00, the percentile use for "
      "breakdown threshold [DEFAULT TO 0.05]\n\n");
  exit(-1);
}


x86 assembly (clang, -O0):
<exit_with_help>:
push   %rbp
mov    %rsp,%rbp
lea    0xed5(%rip),%rdi
call   1030 <printf@plt>
mov    $0xffffffff,%edi
call   1040 <exit@plt>

x86 assembly (clang, -O2):
<exit_with_help>:
push   %rax
lea    0xed8(%rip),%rdi
call   1030 <puts@plt>
mov    $0xffffffff,%edi
call   1040 <exit@plt>

LLVM IR (-O0):
@.str = [1955 x i8] c"\0A \1B[1mUSAGE\1B[0m\0A\0A dpmcreate [OPTION...]\0A\0A \1B[1mREQUIRED OPTIONS\1B[0m\0A\0A --positive-list : text file contains a list of positive files in format:\0A <file name> x y width height \\newline\0A --background-list : text file contains a list of image files that don't contain any target objects\0A --negative-count : the number of negative examples we should collect from background files to initialize SVM\0A --model-component : the number of root filters in our mixture model\0A --model-part : the number of part filters for each root filter\0A --working-dir : the directory to save progress and produce result model\0A --symmetric : 0 or 1, whether to exploit symmetric property of the object\0A\0A \1B[1mOTHER OPTIONS\1B[0m\0A\0A --base-dir : change the base directory so that the program can read images from there\0A --iterations : how many iterations are needed for stochastic gradient descent [DEFAULT TO 1000]\0A --data-minings : how many data mining procedures are needed for discovering hard examples [DEFAULT TO 100]\0A --relabels : how many relabel procedures are needed [DEFAULT TO 5]\0A --alpha : the step size for stochastic gradient descent [DEFAULT TO 0.01]\0A --alpha-ratio : decrease the step size for each iteration [DEFAULT TO 0.995]\0A --margin-c : the famous C in SVM [DEFAULT TO 0.002]\0A --balance : to balance the weight of positive examples and negative examples [DEFAULT TO 1.5]\0A --negative-cache-size : the cache size for negative examples it should be smaller than negative-count and larger than 100 [DEFAULT TO 2000]\0A --include-overlap : the percentage of overlap between expected bounding box and the bounding box from detection. Beyond this threshold, it is ensured to be the same object [DEFAULT TO 0.7]\0A --grayscale : 0 or 1, whether to exploit color in a given image [DEFAULT TO 0]\0A --percentile-breakdown : 0.00 - 1.00, the percentile use for breakdown threshold [DEFAULT TO 0.05]\0A\0A\00"
define void @exit_with_help() {
%1 = call i32 @printf(i8* getelementptr inbounds ([1955 x i8], [1955 x i8]* @.str, i64 0, i64 0))
%2 = call i32 @exit(i32 -1)
unreachable
}

LLVM IR (-O2):
@str = [1954 x i8] c"\0A \1B[1mUSAGE\1B[0m\0A\0A dpmcreate [OPTION...]\0A\0A \1B[1mREQUIRED OPTIONS\1B[0m\0A\0A --positive-list : text file contains a list of positive files in format:\0A <file name> x y width height \\newline\0A --background-list : text file contains a list of image files that don't contain any target objects\0A --negative-count : the number of negative examples we should collect from background files to initialize SVM\0A --model-component : the number of root filters in our mixture model\0A --model-part : the number of part filters for each root filter\0A --working-dir : the directory to save progress and produce result model\0A --symmetric : 0 or 1, whether to exploit symmetric property of the object\0A\0A \1B[1mOTHER OPTIONS\1B[0m\0A\0A --base-dir : change the base directory so that the program can read images from there\0A --iterations : how many iterations are needed for stochastic gradient descent [DEFAULT TO 1000]\0A --data-minings : how many data mining procedures are needed for discovering hard examples [DEFAULT TO 100]\0A --relabels : how many relabel procedures are needed [DEFAULT TO 5]\0A --alpha : the step size for stochastic gradient descent [DEFAULT TO 0.01]\0A --alpha-ratio : decrease the step size for each iteration [DEFAULT TO 0.995]\0A --margin-c : the famous C in SVM [DEFAULT TO 0.002]\0A --balance : to balance the weight of positive examples and negative examples [DEFAULT TO 1.5]\0A --negative-cache-size : the cache size for negative examples it should be smaller than negative-count and larger than 100 [DEFAULT TO 2000]\0A --include-overlap : the percentage of overlap between expected bounding box and the bounding box from detection. Beyond this threshold, it is ensured to be the same object [DEFAULT TO 0.7]\0A --grayscale : 0 or 1, whether to exploit color in a given image [DEFAULT TO 0]\0A --percentile-breakdown : 0.00 - 1.00, the percentile use for breakdown threshold [DEFAULT TO 0.05]\0A\00"
define void @exit_with_help() {
%1 = tail call i32 @puts(i8* dereferenceable(1) getelementptr inbounds ([1954 x i8], [1954 x i8]* @str, i64 0, i64 0))
%2 = tail call i32 @exit(i32 -1)
unreachable
}