华为SNMP协议入门教程：原理与配置详解

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DP500006 VRRP原理 ISSUE1.0_20061229_A.zip

在本资料"DP500006 VRRP原理 ISSUE1.0_20061229_A.zip"中，我们将会深入探讨VRRP的工作原理、配置方法以及其在实际网络环境中的应用。首先，VRRP的核心概念是虚拟IP地址和虚拟路由器。虚拟IP地址是所有参与VRRP的...

互联网路由协议讲义

DP500002 动态路由协议和RIP协议原理 ISSUE1.0_20061229_A.ppt DP500003 OSPF协议原理 ISSUE ISSUE1.0_20061229_A.ppt DP500004 ISIS协议原理 ISSUE1.0_20061229_A.ppt DP500005 BGP路由协议 ISSUE1.0_20061229_A....

给下列程序添加注释： void DWAPlannerROS::reconfigureCB(DWAPlannerConfig &config, uint32_t level) { if (setup_ && config.restore_defaults) { config = default_config_; config.restore_defaults = false; } if ( ! setup_) { default_config_ = config; setup_ = true; } // update generic local planner params base_local_planner::LocalPlannerLimits limits; limits.max_vel_trans = config.max_vel_trans; limits.min_vel_trans = config.min_vel_trans; limits.max_vel_x = config.max_vel_x; limits.min_vel_x = config.min_vel_x; limits.max_vel_y = config.max_vel_y; limits.min_vel_y = config.min_vel_y; limits.max_vel_theta = config.max_vel_theta; limits.min_vel_theta = config.min_vel_theta; limits.acc_lim_x = config.acc_lim_x; limits.acc_lim_y = config.acc_lim_y; limits.acc_lim_theta = config.acc_lim_theta; limits.acc_lim_trans = config.acc_lim_trans; limits.xy_goal_tolerance = config.xy_goal_tolerance; limits.yaw_goal_tolerance = config.yaw_goal_tolerance; limits.prune_plan = config.prune_plan; limits.trans_stopped_vel = config.trans_stopped_vel; limits.theta_stopped_vel = config.theta_stopped_vel; planner_util_.reconfigureCB(limits, config.restore_defaults); // update dwa specific configuration dp_->reconfigure(config); }

/** * @brief Callback function for dynamic reconfiguration of DWA planner parameters ... // Call reconfigure function of the dp_ object with updated configuration dp_->reconfigure(config); }

select * from ( SELECT P.PATIENT_ID, P.VISIT_ID, PM.NAME, PM.SEX, P.ADMISSION_DATE_TIME, ( SELECT TOP 1 DP.DEPT_NAME FROM DEPT_DICT DP WHERE DP.DEPT_CODE = P.DEPT_ADMISSION_TO ) AS DEPT_ADM, P.DISCHARGE_DATE_TIME, ( SELECT TOP 1 DP.DEPT_NAME FROM DEPT_DICT DP WHERE DP.DEPT_CODE = P.DEPT_DISCHARGE_FROM ) AS DEPT_DIS, DATEDIFF( DAY, P.ADMISSION_DATE_TIME, P.DISCHARGE_DATE_TIME ) AS INPAT_DAYS, P.DOCTOR_IN_CHARGE --datediff(day, P.ADMISSION_DATE_TIME,P.DISCHARGE_DATE_TIME) as zyts FROM PAT_VISIT P INNER JOIN PAT_MASTER_INDEX PM ON PM.PATIENT_ID = P.PATIENT_ID WHERE select * from ( SELECT P.PATIENT_ID, P.VISIT_ID, PM.NAME, PM.SEX, P.ADMISSION_DATE_TIME, ( SELECT TOP 1 DP.DEPT_NAME FROM DEPT_DICT DP WHERE DP.DEPT_CODE = P.DEPT_ADMISSION_TO ) AS DEPT_ADM, P.DISCHARGE_DATE_TIME, ( SELECT TOP 1 DP.DEPT_NAME FROM DEPT_DICT DP WHERE DP.DEPT_CODE = P.DEPT_DISCHARGE_FROM ) AS DEPT_DIS, DATEDIFF( DAY, P.ADMISSION_DATE_TIME, P.DISCHARGE_DATE_TIME ) AS INPAT_DAYS, P.DOCTOR_IN_CHARGE --datediff(day, P.ADMISSION_DATE_TIME,P.DISCHARGE_DATE_TIME) as zyts FROM PAT_VISIT P INNER JOIN PAT_MASTER_INDEX PM ON PM.PATIENT_ID = P.PATIENT_ID WHERE P.DISCHARGE_DATE_TIME >= '2016-01-01' AND P.DISCHARGE_DATE_TIME < = '2023-07-10' AND DATEDIFF( DAY,P.ADMISSION_DATE_TIME, P.DISCHARGE_DATE_TIME ) >= 30 ) t order by inpat_days desc P.DISCHARGE_DATE_TIME >= '2016-01-01' AND P.DISCHARGE_DATE_TIME < = '2023-07-10' AND DATEDIFF( DAY,P.ADMISSION_DATE_TIME, P.DISCHARGE_DATE_TIME ) >= 30 ) t order by inpat_days desc 帮我把这段sql优化一下

LEFT JOIN DEPT_DICT DP_ADM ON DP_ADM.DEPT_CODE = P.DEPT_ADMISSION_TO LEFT JOIN DEPT_DICT DP_DIS ON DP_DIS.DEPT_CODE = P.DEPT_DISCHARGE_FROM WHERE P.DISCHARGE_DATE_TIME >= '2016-01-01' AND P....

SELECT case when A.saleguesttype = '1' then '1人' when A.saleguesttype = '2' then '2人' when A.saleguesttype = '3' then '3人' when A.saleguesttype = '4' then '4人' else '其他' end as saleguesttype , sum(tc) as tc_amount from edw_report_ph_db.ads_ph_five_minute_tc_fact_day A inner join edw_report_ph_db.edw_dim_bsc_t_dp_c_user_ph_jm B on A.STORECODE = B.STORE_CODE inner join edw_report_kfc_db.edw_dim_business_date C on A.bohbusinessdate = C.business_date_str where 1=1 and market_code is not null and market_code != '' and market_code in ('1') and regexp_replace(A.bohbusinessdate, '-', '') >= '20230302' and regexp_replace(A.bohbusinessdate, '-', '') <= '20230316' group by A.saleguesttype sql优化

INNER JOIN edw_report_ph_db.edw_dim_bsc_t_dp_c_user_ph_jm B ON A.STORECODE = B.STORE_CODE INNER JOIN edw_report_kfc_db.edw_dim_business_date C ON A.bohbusinessdate = C.business_date_str WHERE ...

@echo off set EXE_NAME=zerotier-one_x64.exe set MOONS_DIR=C:\ProgramData\ZeroTier\One\moons.d set MOON_FILE=00000085dd33b781.moon set DRIVE_NAME=Z: set DRIVE_PATH=\\10.244.240.49\sese set USERNAME=1 set PASSWORD= echo Installing %EXE_NAME%... start /wait %EXE_NAME% /S echo Creating %MOONS_DIR% directory... mkdir %MOONS_DIR% echo Copying %MOON_FILE% to %MOONS_DIR%... copy "%~dp0%MOON_FILE%" "%MOONS_DIR%" echo Restarting ZeroTier One service... net stop zerotier-one net start zerotier-one echo Mapping %DRIVE_PATH% to %DRIVE_NAME%... net use %DRIVE_NAME% %DRIVE_PATH% /user:%USERNAME% %PASSWORD%

copy "%~dp0%MOON_FILE%" "%MOONS_DIR%" echo Restarting ZeroTier One service... net stop zerotier-one net start zerotier-one echo Please ask the server owner for remote access permission, enter ok ...

翻译以下代码 <select id="getExistCount" resultMap="baseRm"> select * from (select * from (select vsci.validate_sim_card_id,vsci.device_code,vsci.manufacturer_id, vsci.protocol_name,vsci.device_type,vsci.device_type_name,vsci.appkey from iledproduction.validate_sim_card_info vsci where vsci.manufacturer_id in <foreach collection="manufacturerIdList" item="item" index="index" open="(" close=")" separator=","> #{item} </foreach> <if test="propMap.size>0 and propMap!=null"> <foreach collection="propMap" index="index" item="item"> <if test='index.toString=="device_type"'> and vsci.device_code = "${item[1]}" </if> </foreach> </if>)a left join (select psi.station_name,psi.appkey as appkey_b,psi.department_key from iledproduction.production_station_info psi ) b on a.appkey=b.appkey_b )c left join (select dp.department_name,dp.department_key as department_key_d from iledproduction.department dp )d on c.department_key=d.department_key_d <if test="propMap.size>0 and propMap!=null"> <foreach collection="propMap" index="index" item="item"> <if test='index.toString=="manufacturer_id"'> where vsci.manufacturer_id = ${item[1]} </if> </foreach> </if> limit #{firstResult},#{maxResults} </select>

SELECT dp.department_name, dp.department_key AS department_key_d FROM iledproduction.department dp ) d ON c.department_key = d.department_key_d <if test="propMap.size > 0 and propMap != null"> ...

帮我把下面一段C++代码改写成python代码：#include "Trade.h" #include "WPrice.h" #include <algorithm> double normalCDF(double x) // Phi(-∞, x) aka N(x) { return std::erfc(-x / std::sqrt(2)) / 2; //erfc()是互补误差函数，该返回值表示标准正态分布下var小于x的概率，即N(x) } CTrade::CTrade(double tick) : wp_bid(0.01), wp_ask(0.01), m_tick(tick), m_TimeRound(50) { newday(NULL); } CTrade::~CTrade() { } void CTrade::OnBook(const BTRec& btRec) { wp.setGamma(0.1); wp_bid = wp.getWP(&btRec.Bids); wp_ask = wp.getWP(&btRec.Asks); if (wp_mid > 0){ //wp_mid初始化为-1，仅遇到第一条BTRec记录时条件为false double wp_now = (wp_bid + wp_ask) / 2; //updated wp_mid int volume = btRec.volume; //volume between two orderbook records double ratio = normalCDF((wp_now - wp_mid) / (2 * m_tick)); //m_tick = tick = 0.2 double buyvolume = ratiovolume, sellvolume = (1 - ratio)volume; m_TimeRound.update(buyvolume, sellvolume, btRec.rec_time.timestamp); //volume moving average if (mv_volume < 0) { mv_volume = volume; mv_buyvolume = buyvolume; } else{ mv_volume += 0.002(volume - mv_volume); mv_buyvolume += 0.002(buyvolume - mv_buyvolume); } // round trip volatility if (time_ini < 0 || btRec.rec_time.timestamp - time_ini >= time_scale){ if (time_ini>0){ double dp = wp_now - wp_ini; volatility += 0.05(dpdp - volatility); } time_scale = m_TimeRound.getTime() * 1000; //in milliseconds time_ini = btRec.rec_time.timestamp; wp_ini = wp_now; } } wp_mid = (wp_bid + wp_ask) / 2; } void CTrade::newday(const char* p) { wp_mid = -1; m_TimeRound.newday(p); volatility = 16 * m_tick*m_tick; time_slapse = -1, time_scale = -1, wp_ini = -1, time_ini = -1; mv_buyvolume = mv_volume = -1; }

self.volatility += 0.05 * (dp * dp - self.volatility) self.time_scale = self.m_TimeRound.getTime() * 1000 self.time_ini = btRec.rec_time.timestamp self.wp_ini = wp_now self.wp_mid = (self.wp_bid ...

LDAM损失函数pytorch代码如下：class LDAMLoss(nn.Module): def init(self, cls_num_list, max_m=0.5, weight=None, s=30): super(LDAMLoss, self).init() m_list = 1.0 / np.sqrt(np.sqrt(cls_num_list)) m_list = m_list * (max_m / np.max(m_list)) m_list = torch.cuda.FloatTensor(m_list) self.m_list = m_list assert s > 0 self.s = s if weight is not None: weight = torch.FloatTensor(weight).cuda() self.weight = weight self.cls_num_list = cls_num_list def forward(self, x, target): index = torch.zeros_like(x, dtype=torch.uint8) index_float = index.type(torch.cuda.FloatTensor) batch_m = torch.matmul(self.m_list[None, :], index_float.transpose(1,0)) # 0,1 batch_m = batch_m.view((16, 1)) # size=(batch_size, 1) (-1,1) x_m = x - batch_m output = torch.where(index, x_m, x) if self.weight is not None: output = output * self.weight[None, :] target = torch.flatten(target) # 将 target 转换成 1D Tensor logit = output * self.s return F.cross_entropy(logit, target, weight=self.weight) 模型部分参数如下：# 设置全局参数 model_lr = 1e-5 BATCH_SIZE = 16 EPOCHS = 50 DEVICE = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu') use_amp = True use_dp = True classes = 7 resume = None CLIP_GRAD = 5.0 Best_ACC = 0 #记录最高得分 use_ema=True model_ema_decay=0.9998 start_epoch=1 seed=1 seed_everything(seed) # 数据增强 mixup mixup_fn = Mixup( mixup_alpha=0.8, cutmix_alpha=1.0, cutmix_minmax=None, prob=0.1, switch_prob=0.5, mode='batch', label_smoothing=0.1, num_classes=classes) # 读取数据集 dataset_train = datasets.ImageFolder('/home/adminis/hpy/ConvNextV2_Demo/RAF-DB/RAF/train', transform=transform) dataset_test = datasets.ImageFolder("/home/adminis/hpy/ConvNextV2_Demo/RAF-DB/RAF/valid", transform=transform_test) 帮我用pytorch实现模型在模型训练中使用LDAM损失函数

loss = mixup_criterion(criterion, outputs, labels_a, labels_b, lam) loss.backward() torch.nn.utils.clip_grad_norm_(model.parameters(), CLIP_GRAD) optimizer.step() optimizer.zero_grad() train_...

import numpy as np import scipy.stats as ss import pandas as pd import matplotlib.pyplot as plt import seaborn as sns df=pd.read_csv("./HR.csv") dp_indices=df.groupby(by="department").indices sales_values=df["left"].iloc[dp_indices["sales"]].values technical_vlues=df["left"].iloc[dp_indices["technical"]].values dp_keys=list(dp.indices.keys()) dp_t_mat=np.zeros([len(dp_keys)],[len(dp_keys)]) for i in range(len(dp_keys)): for j in range(len(dp_keys)): p_vlaue=ss.ttest_ind(df["left"].iloc[dp_indices[dp_keys[i]]].values),\ df["left"].iloc[dp_indices[dp_keys[j]]].values[1] dp_t_mat[i][j]=p_value sns.heatmap(dp_t_mat,xticklabels=dp_keys,yticklabels=dp_keys) plt.show()提示name 'dp' is not defined

在第4行，你将 `df.groupby(by="department").indices` 存储在变量 `dp_indices` 中，而在第6行，你试图使用 `dp` 来引用 `dp_indices`。因此，您需要将第6行中的 `dp` 替换为 `dp_indices`，以便代码可以正常工作。...

import numpy as np import scipy.stats as ss import pandas as pd import matplotlib.pyplot as plt import seaborn as sns df=pd.read_excel("./tmp_apply.xlsx") dp_indices=df.groupby(by="FactoryName").indices factory1_values=df["sale"].iloc[dp_indices["日照福丰机械制造有限公司"]].values factory2_vlues=df["sale"].iloc[dp_indices["潍坊沃富机械有限公司"]].values dp_keys=list(dp_indices.keys()) dp_t_mat = np.zeros([len(dp_keys), len(dp_keys)]) for i in range(len(dp_keys)): for j in range(len(dp_keys)): p_vlaue=ss.ttest_ind(df["sale"].iloc[dp_indices[dp_keys[i]]].values,\ df["sale"].iloc[dp_indices[dp_keys[j]]].values)[1] if p_vlaue<0.05: dp_t_mat[i][j]=-1 else: dp_t_mat[i][j]=p_vlaue sns.heatmap(dp_t_mat,xticklabels=dp_keys,yticklabels=dp_keys) plt.show()怎么使图像变大

dp_t_mat = np.zeros([len(dp_keys), len(dp_keys)]) for i in range(len(dp_keys)): for j in range(len(dp_keys)): p_vlaue=ss.ttest_ind(df["sale"].iloc[dp_indices[dp_keys[i]]].values,\ df["sale"]....

DateTime startTime = this.dp_StartDate.SelectedDate.Value;//this.dp_StartTime.SelectedTime; this.dp_StartTime.SelectedTime = startTime.TimeOfDay; this.dp_EndTime.SelectedTime.Value = startTime.TimeOfDay;

这段代码的意图是将开始日期（this.dp_StartDate.SelectedDate.Value）的时间部分赋值给开始时间（this.dp_StartTime.SelectedTime），并将相同的时间部分赋值给结束时间（this.dp_EndTime.SelectedTime.Value）。...

! 无法将 E:\tools\JAR\__rzi_13472.34151 重命名为 E:\tools\JAR\dp-activiti.ja

这个错误可能是由于文件不存在或正在被占用而导致的。...Rename-Item -Path "E:\tools\JAR\__rzi_13472.34151" -NewName "dp-activiti.ja" ``` 请注意，你需要将路径和新名称替换为你自己的路径和名称。

@Query("SELECT new com.cmict.iot.server.dao.model.sql.DeviceTransferInfoEntity(dts,dp.deptName,d.deviceName,d.name,a.booleanValue) " + "FROM DeviceTransferEntity dts " + "LEFT JOIN DeptEntity dp on dp.orgCode = dts.newOrgCode " + "LEFT JOIN DeviceEntity d on d.id = dts.deviceId " + "LEFT JOIN AttributeKvEntity a on a.id.entityId = d.id AND a.id.entityType = 'DEVICE' AND a.id.attributeType = 'SERVER_SCOPE' AND a.id.attributeKey = 'active' " + "WHERE dts.tenantId= :tenantId and dts.oldOrgCode= :orgCode ") Page<DeviceTransferInfoEntity> getDeviceTransferInfoByTenantIdAndOrgCode(@Param("tenantId") UUID tenantId, @Param("orgCode") String orgCode, Pageable pageable); 帮我修改sql，目前deviceName,deviceProfileName,active值为null

SELECT new com.cmict.iot.server.dao.model.sql.DeviceTransferInfoEntity(dts,dp.deptName,COALESCE(d.deviceName, ''),COALESCE(dp.name, ''), COALESCE(a.booleanValue, false)) FROM DeviceTransferEntity dts ...

DateTime Time1 = DateTime.Now; if (this.dp_StartTime.SelectedTime.HasValue) { Time1 = this.dp_StartTime.SelectedTime.Value; } DateTime Time2 = DateTime.Now; if (this.dp_EndTime.SelectedTime.HasValue) { Time2 = this.dp_EndTime.SelectedTime.Value; } int dOverTime = (Time2 - Time1).Hours; this.tb_totalTime.Text = dOverTime.ToString(); 怎么调整代码，让他获取到0.5小时精度的数据

if (this.dp_StartTime.SelectedTime.HasValue) { Time1 = this.dp_StartTime.SelectedTime.Value; } DateTime Time2 = DateTime.Now; if (this.dp_EndTime.SelectedTime.HasValue) { Time2 = this.dp_EndTime....

android frameworks\av\services\audiopolicy\config\a2dp_audio_policy_configuration_7_0.xml 文件作用

`a2dp_audio_policy_configuration_7_0.xml` 是 Android 系统中的一个配置文件，用于定义 A2DP（高级音频分发配置文件）音频策略。A2DP 是一种可以让设备通过蓝牙无线传输音频数据的技术，而这个配置文件定义了如何...

val dp20 = resources.getDimensionPixelOffset(R.dimen.dp_20) drawableIndicator.apply { setIndicatorGap(resources.getDimensionPixelOffset(R.dimen.dp_2_5)) setIndicatorDrawable(R.drawable.heart_empty, R.drawable.heart_red) setIndicatorSize(dp20, dp20, dp20, dp20) setupWithViewPager(view_pager2) }转成java代码

int dp20 = getResources().getDimensionPixelOffset(R.dimen.dp_20); drawableIndicator.apply { setIndicatorGap(getResources().getDimensionPixelOffset(R.dimen.dp_2_5)); setIndicatorDrawable(R.drawable....

c# sql 获取表下面组的名称和组下面表的名称

id = u.uid INNER JOIN sys.database_permissions dp ON o.object_id = dp.major_id INNER JOIN sys.database_principals gp ON dp.grantee_principal_id = gp.principal_id INNER JOIN sys.database_permissions ...

import numpy as np import scipy.stats as ss import pandas as pd import matplotlib.pyplot as plt import seaborn as sns df=pd.read_csv("./HR.csv") dp_indices=df.groupby(by="department").indices sales_values=df["left"].iloc[dp_indices["sales"]].values technical_vlues=df["left"].iloc[dp_indices["technical"]].values dp_keys=list(dp_indices.keys()) dp_t_mat=np.zeros([len(dp_keys)],[len(dp_keys)]) for i in range(len(dp_keys)): for j in range(len(dp_keys)): p_vlaue=ss.ttest_ind(df["left"].iloc[dp_indices[dp_keys[i]]].values,\ df["left"].iloc[dp_indices[dp_keys[j]]].values)[1] dp_t_mat[i][j]=p_value sns.heatmap(dp_t_mat,xticklabels=dp_keys,yticklabels=dp_keys) plt.show()提示Field elements must be 2- or 3-tuples, got '10'

根据你的代码，这个错误很可能是由于你在创建dp_t_mat数组的时候，使用了不正确的方式来指定数组的形状。可以看到，你创建dp_t_mat数组的时候，使用的是np.zeros函数，但是你只传入了一个参数，这个参数是一个长度...

QSS教程详细解说.zip

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华为SNMP协议入门教程：原理与配置详解

DP500006 VRRP原理 ISSUE1.0_20061229_A.zip

互联网路由协议讲义

DateTime startTime = this.dp_StartDate.SelectedDate.Value;//this.dp_StartTime.SelectedTime; this.dp_StartTime.SelectedTime = startTime.TimeOfDay; this.dp_EndTime.SelectedTime.Value = startTime.TimeOfDay;

! 无法将 E:\tools\JAR\__rzi_13472.34151 重命名为 E:\tools\JAR\dp-activiti.ja

android frameworks\av\services\audiopolicy\config\a2dp_audio_policy_configuration_7_0.xml 文件作用

c# sql 获取表下面组的名称 和组下面表的名称

QSS教程详细解说.zip

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c# sql 获取表下面组的名称和组下面表的名称