exp_fmt.c

最新推荐文章于 2025-08-08 16:02:14 发布
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#include #float

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void main(void)
 {
   float value = 1.23456;

   printf ("%12.1e/n", value);
   printf ("%12.3e/n", value);
   printf ("%12.5e/n", value);
 }

c语言程序设计现代方法第二版第三章答案,C语言程序设计：现代方法（第2版）第三章全部习题答案-站长资讯中心...
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前言本人在通过《C语言程序设计：现代方法(第2版)》自学C语言时，发现国内并没有该书完整的课后习题答案，所以就想把自己在学习过程中所做出的答案分享出来，以供大家参考。这些答案是本人自己解答，并参考GitHub上相关的分享和Chegg.com相关资料。因为并没有权威的答案来源，所以可能会存在错误的地方，如有错误还希望大家能够帮助指出。第三章练习题和编程题答案练习题3.1节1.下面的printf函数调...
推荐开源项目：Common - Prometheus 共享库
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推荐开源项目：Common - Prometheus 共享库 commonGo libraries shared across Prometheus components and libraries.项目地址:https://gitcode.com/gh_mirrors/commo/common 1、项目介绍 Common 是一个由 Prometheus 团队维护的开源项目，它包含了多个用于构建...
pfvc_igr.dll pfvc_gcm.dll pfvc_gcd.dll pfvc_gb.dll pfvc_fmt2.dll pfvc_fmt.dll pfvc_exp.dll
2503_92518390的博客
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以上只是通用的运行库dll处理方式，如果你遇到缺失文件是第三方的软件文件，那么就需要下载到属于这个程序所匹配的版本的文件，然后将这个文件复制到这个程序的安装目录下才能解决问题。如果我们遇到关于文件在系统使用过程中提示缺少找不到的情况，如果文件是属于运行库文件的可以单独下载文件解决，但还是建议安装完整的运行库，可以尝试采用手动下载替换的方法解决问题！文件下载完成后，下方列表会有很多个不同版本的文件，这里所有文件都是免费可下载的，我们根据自己所需要的版本文件，点击右边的“打开”，这样就找到了下载的文件。
BUUCTF axb_2019_fmt32 & fmt64
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格式化字符串漏洞，fmt32和fmt64位
libevent源码深度剖析之evutil_time.c
努力才会有幸福
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第一章 time基础知识 1.1 struct timeval /* * Structure used in select() call, taken from the BSD file sys/time.h. */ struct timeval { long tv_sec; /* seconds */ long tv_usec; ...
BUUCTF【axb_2019_fmt32】
weixin_51055545的博客
04-25 2354
例行检查 是开 了部分relro，可以改写got表，然后栈不可执行不， IDA分析 很简单的一个程序，会先初始化一些后续要用到的栈空间，然后让我们输入，字节数大小会有限制，然后再对我们的输入做一个长度判断，长度符合的话就会调用printf()函数，存在格式化字符串漏洞，程序里没有system，binsh字符串，我们这里就要先leak出地址，然后返回system即可，观察程序不难发现，我们无法溢出去控制返回地址，然而我们可以去改 某一函数的got表地址为system，从而去get shell，通过分析，s
linux中的vsprintf_vsprintf.c
weixin_42550750的博客
01-17 275
查询va_list时找到的vsprintf函数的源代码，先记录下来，有时间再仔细研究下:// vsprintf.c//// Print formatting routines//// Copyright (C) 2002 Michael Ringgaard. All rights reserved.//// Redistribution and use in source and binary f...
关于”axb_2019_fmt32“的记录
Probeginner的博客
12-03 195
格式化字符串漏洞的fmtstr_paylaod的初次使用
build_module.sh: BUILD_TIME=$(date +%Y-%m-%dT%H:%M:%S) build_flags+=("--copt=-DKERNEL_BUILD_TIME=\\\"${BUILD_TIME}\\\"") ./tools/bazel --output_user_root="${DEFAULT_CACHE_DIR}" run "${build_flags[@]}" \ "$build_target" -- --dist_dir="${OUT_DIR}/${EXT_MOD_REL}" load("//build/kernel/kleaf:honor_modules.bzl", "define_honor_modules") micro_dump_qcom.bzl: def define_qcom(): define_honor_modules( name = "microdump", out_opt = "CONFIG_HN_MICRODUMP", target_opt = ["canoe"], srcs = native.glob([ "micro_dump.c", "irq_dump.c", "data_print.c", "policy.c", "process_dump.c", "register_dump.c", "stack_dump.c", "bitflip.c", "lock_dump.c", "gki_utils.c", "undef_dump.c", "panic_analyse.c", "micro_meminfo.c", "*.h", ]), conditional_srcs = { "CONFIG_HN_MICRODUMP_ELF": { True: ["elf_dump.c",], }, "CONFIG_HN_MICRODUMP_PANIC_RECORD": { True: ["panic_dump.c",], }, "CONFIG_HN_MICRODUMP_IOW_CHECK": { True: ["iow_check.c",], }, }, dep_modules = [ "//soc-repo:%b/drivers/soc/qcom/debug_symbol", "//soc-repo:%b/drivers/soc/qcom/minidump", ], kconfig = "Kconfig", visibility = ["//visibility:public"], copts = [ '-DKERNEL_BUILD_TIME="\\"$(KERNEL_BUILD_TIME)\\""' ], ) micro_dump.c: static int panic_callback(struct notifier_block *self, unsigned long cmd, void *ptr) { unsigned long type = DIE_TYPE_UNKNOWN; const char *reason = ptr; char *linux_banner; #if IS_ENABLED(CONFIG_QCOM_MINIDUMP) check_microdump_state(); #endif if (!g_microdump_enable) { MD_PRINT("The function is disable!\n"); return NOTIFY_DONE; } if (atomic_inc_and_test(&g_has_panic)) { if (g_exp_info.error_type == DIE_TYPE_UNKNOWN || g_exp_info.error_type == SUB_TYPE_OTHER_DIE) { type = analyse_panic_type(reason); micro_dump_reason_set(reason, type); } /* no die flow, direct panic flow, so need save regs by asm manully */ if (atomic_read(&g_has_die) == -1) { md_get_regs(&g_exp_info.regs); g_exp_info.task = current; MD_PRINT( "%s, task.comm:%s, task.pid:%d, stack:0x%px\n", __func__, g_exp_info.task->comm, g_exp_info.task->pid, (unsigned long *)g_exp_info.task->stack); show_pclr(&g_exp_info.regs); } g_exp_info.panic_cpu = raw_smp_processor_id(); MD_INFO("%s, error type is: 0x%lx\n", __func__, type); linux_banner = (void *)gki_symbol_lookup_name("linux_banner"); if (linux_banner != NULL) MD_INFO("%s\n", linux_banner); MD_INFO("kernel build time:%s\n", KERNEL_BUILD_TIME); } #define MD_INFO(fmt, ...) pr_info(LOG_TAG fmt, ##__VA_ARGS__)
最新发布
11-26
我们正在处理一个编译错误，错误信息指出在 micro_dump.c 文件的第233行，有一个预期外的符号，具体是缺少右括号。错误行代码如下： MD_INFO("kernel build time:%s\n", KERNEL_BUILD_TIME); 错误提示在字符串结束...
def model_train(batchsize,channel_SNR,noise_init,nl_factor,eq_flag,epsilon,earlystop_epoch):## start training # constellation annimation fig1, ax1 = plt.subplots(figsize=(4,5)) Epoch_list = [] Loss_list = [] min_loss = 1e10 max_GMI = 0 patience = 0 # initialize the noise noise_exp = noise_init[np.newaxis,:] GS_flag_len = len(GS_flag) iter_per_GS_flag = iterations//GS_flag_len GS_flag_index = 0 GS_flag_now = GS_flag[GS_flag_index] PS_flag_now = PS_flag[GS_flag_index] # create two saving figures fig=plt.figure() ax_1 = fig.add_subplot(121) ax_2 = fig.add_subplot(122,projection='3d') for epoch in range(iterations): total_loss = 0 total_loss_Eq = 0 GMI_mean = 0 NGMI_mean = 0 if GS_flag_len>1 and (epoch+1)%iter_per_GS_flag == 0 and (GS_flag_index+1)<GS_flag_len: GS_flag_index += 1 GS_flag_now = GS_flag[GS_flag_index] PS_flag_now = PS_flag[GS_flag_index] for batch in range(0,batchsize): ## get the channel impairments from the Rx data noise_tf = tf.cast(noise_exp, dtype=dtype) ## apply the channel impairments and train the model batch_loss,batch_loss_Eq,NGMI,GMI,entropy_S,p_s,norm_constellation,x = train_step(channel_SNR,noise_tf,GS_flag_now,PS_flag_now,eq_flag,epsilon) ## save the training data x for transmission Tx = get_Tx(channel_SNR,epsilon)[-1] ## Will be substituted by the real channel impairments in the Experiment Rx = channel_ISI_NL(Tx,channel_SNR_db1,channel_FIR,nl_factor=nl_factor,ch_type=channel_type) ## after the transmission, get the Rx data and new noise noise_exp = Rx - Tx noise_exp = noise_exp[np.newaxis,:] ## calculate the loss total_loss_Eq += batch_loss_Eq total_loss += batch_loss GMI_mean += GMI NGMI_mean += NGMI total_loss = total_loss / batchsize total_loss_Eq = total_loss_Eq / batchsize GMI_mean = GMI_mean / batchsize NGMI_mean = NGMI_mean/ batchsize Epoch_list.append(epoch+1) Loss_list.append(total_loss.numpy()) if total_loss < min_loss: min_loss = total_loss manager_Loss.save(checkpoint_number=epoch+1) print('[INFO] New Loss = %.6f, Save new model named ./model_free_training_checkpoints/V6_ckpt_Loss-%d.index'%(min_loss,epoch+1)) if GMI_mean > max_GMI: patience = 0 max_GMI = GMI_mean manager_MI.save(checkpoint_number=epoch+1) print('[INFO] New GMI = %.6f, NGMI = %.6f, Save new model named ./model_free_training_checkpoints/V6_ckpt_MI-%d.index'%(max_GMI,NGMI_mean,epoch+1)) else: patience += 1 if patience > earlystop_epoch: manager_Loss.save(checkpoint_number=epoch+1) print('[INFO] Early stop at epoch %d, loss = %.6f, GMI = %.6f'%(epoch+1,total_loss,GMI_mean)) break if (epoch+1)%displayStep == 0 or epoch == 0: # np.savetxt('training_data_Tx.txt',Tx,fmt='%f') ## draw constellation X = np.real(norm_constellation) Y = np.imag(norm_constellation) ax1.scatter(X,Y,c=cons_colors) ax1.axis('square') ax1.set_title('Constellation Optimization') fig1.canvas.draw() fig1.canvas.flush_events() print('[DEBUG] epoch:{:3d}/{:2d} | loss: {:.2f} | loss_Eq: {:.4f} | GMI: {:.4f} | NGMI: {:.4f} | entropy_S: {:.4f}' .format(epoch+1, iterations, total_loss.numpy(), total_loss_Eq.numpy(), GMI_mean.numpy(), NGMI.numpy(),entropy_S)) ## plot the distribution of PS and GS X, Y=X.ravel(), Y.ravel() bottom=np.zeros_like(X) P=p_s.numpy().ravel() ## specific the colormap width=height=2/np.sqrt(M+5) dz = P offset = dz + np.abs(dz.min()) fracs = offset.astype(float)/offset.max() norm = colors.Normalize(fracs.min(), fracs.max()) color_values = plt.cm.viridis(norm(fracs.tolist())) ## draw ax_1.cla() ax_1.set_title('Constellation Tx') ax_1.scatter(X,Y,s=80) ax_1.axis('square') ax_2.cla() ax_2.bar3d(X, Y, bottom, width, height, P, shade=True, color=color_values,edgecolor='black')# ax_2.set_xlabel('X') ax_2.set_ylabel('Y') ax_2.set_zlabel('Z(value)') # ax_2.set_title('GMI = %.2f, NGMI = %.2f'%(GMI_mean.numpy(),NGMI_mean.numpy())) fig.set_size_inches(20,10) plt.savefig('./figures/32QAM/PS_distribution_epoch%d.png'%(epoch+1),dpi=300) manager_Loss.save(checkpoint_number=epoch+1) Epoch_list = np.reshape(np.stack(Epoch_list),-1) Loss_list = np.reshape(np.stack(Loss_list),-1) return Epoch_list,Loss_list 根据修改后的tran_step对应修改上述代码
08-19
ax1.scatter(X, Y, c=cons_colors) ax1.axis('square') ax1.set_title(f'Constellation (Epoch {epoch+1}, Min Dist: {min_distance_mean:.4f})') fig1.canvas.draw() fig1.canvas.flush_events() # 打印...
Deprecated function, please use draw_string_advanced.Deprecated function, please use draw_string_advanced.Deprecated function, please use draw_string_advanced.Red: 0, Digit: 8, No red target 错误: IDE interrupt
07-12
nn.ai2d_format.NCHW_FMT, np.uint8, np.uint8 ) ai2d.set_resize_param(True, nn.interp_method.tf_bilinear, nn.interp_mode.half_pixel) ai2d_builder = ai2d.build([1, 3, OUT_RGB888P_HEIGHT, OUT_RGB888P...
from pythtb import * import numpy as np import matplotlib.pyplot as plt # 定义晶格和轨道 lat = [[1.0, 0.0], [0.0, 1.0]] orb = [[0.0, 0.0], [0.5, 0.0], [0.0, 0.5]] # 增加参数分辨率 t2_values = np.linspace(0.1, 1.0, 300) # t2 的范围 phi_values = np.linspace(0, 2 * np.pi, 300) # phi 的范围 gap_values = np.zeros((len(t2_values), len(phi_values))) # 用于存储能隙大小 # 遍历每个参数值 for i, t2 in enumerate(t2_values): for j, phi in enumerate(phi_values): # 创建模型 my_model = tb_model(2, 2, lat, orb) # 定义跃迁矩阵元 t1 = 1.0 t2_complex = t2 * np.exp(1.j * phi) t3 = 0.2 # 设置跃迁 my_model.set_hop(t1, 0, 1, [0, 0]) my_model.set_hop(t1, 0, 2, [0, 0]) my_model.set_hop(t1, 0, 1, [-1, 0]) my_model.set_hop(t1, 0, 2, [0, -1]) my_model.set_hop(t2_complex, 1, 2, [0, 0]) my_model.set_hop(t2_complex, 2, 1, [-1, 0]) my_model.set_hop(t2_complex, 1, 2, [1, -1]) my_model.set_hop(t2_complex, 2, 1, [0, 1]) my_model.set_hop(t3, 0, 0, [1, 0]) my_model.set_hop(t3, 0, 0, [0, 1]) my_model.set_hop(t3, 1, 1, [1, 0]) my_model.set_hop(t3, 1, 1, [0, 1]) my_model.set_hop(t3, 2, 2, [1, 0]) my_model.set_hop(t3, 2, 2, [0, 1]) # 定义动量路径 path = [[0.0, 0.0], [0.5, 0.0], [0.5, 0.5], [0.0, 0.0]] nk = 201 # 增加k点数量 (k_vec, k_dist, k_node) = my_model.k_path(path, nk) # 计算能带 evals = my_model.solve_all(k_vec) # 计算能隙 gap = np.min(evals[1] - evals[0]) gap_values[i, j] = gap # 创建网格 T2, PHI = np.meshgrid(t2_values, phi_values) # 绘制相图 fig, ax = plt.subplots(figsize=(8, 6)) c = ax.pcolormesh(T2, PHI/np.pi, gap_values.T, cmap='viridis', shading='auto') fig.colorbar(c, ax=ax, label='Gap Size') # 添加等高线（能隙为0） contour = ax.contour(T2, PHI/np.pi, gap_values.T, levels=[0], colors='red', linewidths=2) ax.clabel(contour, inline=True, fontsize=10, fmt="Gap=0") # 其余设置 ax.set_xlabel('$ t_2$', fontsize=12) ax.set_ylabel('$\phi / \pi$', fontsize=12) ax.set_title('Phase Diagram with Gap Contour', fontsize=14) ax.set_ylim(0, 2) # 添加陈数标注 ax.text(0.8, 1.45, 'C=-1', color='red', va='center') ax.text(0.8, 0.6, 'C=1', color='red', va='center') ax.text(0.85, 0.1, 'C=1', color='red', va='center') ax.text(0.85, 1.8, 'C=-1', color='red', va='center') plt.tight_layout() plt.show() 等高线变成白色
07-05
c = ax.pcolormesh(T2, PHI/np.pi, gap_values.T, cmap='plasma', shading='auto') ``` 2. **调整背景色**： ```python # 设置深色背景以突出白色等高线 fig.set_facecolor('black') ax.set_facecolor('black...
使用fmt函数格式化string日期
g_blue_wind的博客
12-08 1564
使用fmt函数需在jsp中引入  报java.lang.IllegalArgumentException: Cannot convert 20131125 of type class java.lang.String to class java.util.Date  异常    因为${item.expDate}取出来是String类型，无法转换为Date类型  如下将能正常输出
eql_neql.c
CCodes的专栏
11-08 5496
  #include void main(void) {   int age = 21;   int height = 73;   if (age == 21)     printf("User/s age is 21/n");   if (age != 21)     printf("User/s age is not 21/n");   if (height == 73) 
err_msg.c
CCodes的专栏
11-08 1241
  #include #include void main(void) {   int error;   for (error = 0; error        printf("Error %d %s/n", error, sys_errlist[error]); } 
execvpe.c
CCodes的专栏
11-08 888
  #include #include void main(void) {   char *env[] = { "FILENAME=SPAWNVXX.C", "OS=DOS",                    "ROUTINE=EXECVPE", NULL };   char *argv[] = { "CHILD.EXE", "AAA", "BBB", NULL };   exe
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