ADM315_EN_Workload Analysis AS ABAP_Col71.pdf

ADM315_2004-Q4_-_A4_-_Workload_Analysis

int fgetc(FILE *f) { ADM2483_TX_EN;//使能485发送 uint8_t ch = 0; HAL_UART_Receive(&huart1, &ch, 1, 0xffff); ADM2483_RX_EN; //使能485接收 return ch; }

def register_admin(self): adm_id = uop.generate_unique_user_id() adm_unm = 'daddy_daddy' adm_pswd = 'daddy' adm_time = datetime.datetime.now().strftime("%Y-%m-%d_%H:%M:%S") adm_role = 'admin' register = Admin(adm_id,adm_unm,adm_pswd,adm_time,adm_role) str_register = eval(str(register)) str_register['user_password'] = uop.encrypt_password(adm_pswd) with open('./data/user.txt','w') as f1: f1.write(str_register + '\n')为什么我这里会有AttributeError: 'str' object has no attribute 'user_id'？

import pandas as pd #读取初始文件 food_prices = pd.read_csv('file/food_prices.csv') #读取汇率文件 parities = pd.read_csv('file/parities.csv') #提取劳动力数据[国家名称，商品名称，单位，月，年，价格] food_labor_1 = food_prices[['adm0_name','cm_name','um_name','mp_month','mp_year','mp_price']] food_labor_2 = food_labor_1[food_labor_1['cm_name'].isin(['Wage (qualified labour)','Wage (non-qualified labour, non-agricultural)','Wage (non-qualified labour)'])] print(food_labor_2) 我想让food_labor_2和parities根据列名'adm0_name'合并，并保留food_labor_2的全部数据，parities的某些数据可以不保留

帮我修改CREATE OR REPLACE PROCEDURE SP_ADM_ORDERS_LIST_D(p_dt IN NUMBER ) AS V_DT NUMBER(8); BEGIN V_DT:=P_DT; EXECUTE IMMEDIATE 'ALTER TABLE ADM_ORDERS_LIST_D ADD PARTITION P_' ||V_DT||' VALUES(TO_DATE('||V_DT',''YYYYMMDD')); END;

这是我分享的链接https://kdocs.cn/l/cgtpbbxT7E4H，他是一个查询SAPS评分的语句，请学习并修改为查询APACHE-II的语句

SELECT ROUND(AVG(l.DET_ITEM_FEE_SUMAMT),2) norm, MAX(l.DET_ITEM_FEE_SUMAMT) big, MIN(l.DET_ITEM_FEE_SUMAMT) small FROM fee_list_d l, per_path_info p WHERE l.MDTRT_ID = p.mdtrt_id AND DATE_FORMAT(l.FEE_OCUR_TIME,'%Y-%m') >= "2023-07" AND DATE_FORMAT(l.FEE_OCUR_TIME,'%Y-%m') <= "2023-07" AND p.hospcode = "H41162501992" AND l.DISE_CODG = "xhnk08" AND p.adm_dept_code = "01" AND p.adm_doc_code = "1"

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

[root@ADM docker_redhat7]# subscription-manager register --username <jshfe> --password <199612268MFENG.> bash: 未预期的符号 `newline' 附近有语法错误

pg库中有一张表,表名为tb_kdddd_adm_pac_ftth_gis003_day,此表中在时间字段vbegday为20230712时,存在重复数据,重复数据是字段vdevid的值,也就是说,每个vdevid的值存在两条一模一样的数据,请问怎么删除表中在时间字段vbegday为20230712时的重复数据,sql语句该怎么写

import pandas as pd #读取初始文件 food_prices = pd.read_csv('file/food_prices.csv') #读取汇率文件 parities = pd.read_csv('file/parities.csv') #提取劳动力数据[国家名称，商品名称，单位，月，年，价格] food_labor_1 = food_prices[['adm0_name','cm_name','um_name','mp_month','mp_year','mp_price']] food_labor_2 = food_labor_1[food_labor_1['cm_name'].isin(['Wage (qualified labour)','Wage (non-qualified labour, non-agricultural)','Wage (non-qualified labour)'])] #进行两个表的合并 merged_data = pd.merge(food_labor_2, parities[['adm0_name', 'parities']], on='adm0_name', how='left') print(merged_data) #进行汇率转换 我想要将merged_data中的'mp_price'列的数据全部乘以'parities'列的数据

echo > adm_messages

adm.flex_flex在指定路径 flex_0.mnf没有被发现

请举个例子说明该怎么正确的给admin类传递user_id参数

Traceback (most recent call last): File "/Users/haohaoxuexi/A3_student_template/main.py", line 178, in <module> oadm.register_admin() File "/Users/haohaoxuexi/A3_student_template/operation_admin.py", line 12, in register_admin register = Admin(adm_id,adm_unm,adm_pswd,adm_time,adm_role) File "/Users/haohaoxuexi/A3_student_template/model_admin.py", line 7, in __init__ User.__init__(user_id, user_name, user_password, user_register_time) File "/Users/haohaoxuexi/A3_student_template/model_user.py", line 6, in __init__ self.user_id = user_id AttributeError: 'str' object has no attribute 'user_id'

请帮我检查下一下shell代码是否有错误 代码如下:#!/bin/bash date=date +%F adm=/htdocs/adm nmc=/htdocs/nmc common=/htdocs/common adm_config=/htdocs/adm_bak_$date/webman.cf nmc_config=/htdocs/nmc_bak_$date/webman.cf common_config=/htdocs/common_bak_$date/common.cf bak=/htdocs update_file=/root/update RETURN=$? cfg=/home/fangmail/fm-cfg cfg_bak=/home/fangmail #备份adm if [ ! -e $bak/adm_bak_$date ];then mv $adm $bak/adm_bak_$date if [ $RETURN -eq 0 ];then echo "adm备份成功" else echo "adm备份失败" && exit fi else echo "今日已备份" fi sleep 2 #升级adm chown -R fmail.fmail adm/ && mv $update_file/adm $bak/ && cp -f $adm_config $adm if [ $RETURN -eq 0 ];then echo "adm配置文件替换成功" else echo "adm配置文件替换失败" && exit sleep 2 #备份nmc if [ ! -e $bak/nmc_bak_$date ];then mv $nmc nmc_bak_$date if [ $RETURN -eq 0];then echo "nmc备份成功" else echo "nmc备份失败" && exit fi else echo "今日已备份" fi sleep 2 #升级nmc chown -R fmail.fmail nmc/ && mv $update_file/nmc $bak/ && cp -f $nmc_config $nmc >dev/null if [ $RETURN -eq 0 ];then echo "nmc配置文件替换成功" else echo "nmc配置文件替换失败" && exit sleep 2 #备份common if [ ! -e $bak/common_bak_$date ];then mv $common common_bak_$date if [ $RETURN -eq 0];then echo "common备份成功" else echo "common备份失败" && exit fi else echo "今日已备份" fi sleep 2 #升级common chown -R fmail.fmail common/ && mv $update_file/common $bak/ && cp -f $common_config $nmc >dev/null if [ $RETURN -eq 0 ];then echo "common配置文件替换成功" else echo "common配置文件替换失败" && exit sleep 2 #备份fm-cfg if [ ! -e $cfg_bak/cfg_bak_$date ];then mv $cfg cfg_bak_$date if [ $RETURN -eq 0];then echo "fm-cfg备份成功" else echo "fm-cfg备份失败" && exit fi else echo "今日已备份" fi sleep 2 #升级fm-cfg mv $update_file/fm-cfg $bak_cfg/ && >dev/null if [ $RETURN -eq 0 ];then echo "fm-cfg升级成功..重启中" else echo "fm-cfg升级成功" && exit sleep 2 #重启fm-cfg /etc/init.d/fmcfgd restart echo ps -aux | grep CFG

/mnt/ramdisk/root # curl http://127.0.0.1/adm/set_group.cgi?group=WIRELESS&wlan_essid=TP-LINK_5G_3669&wpa_ascii=Philip s@1 -u administrator: <?xml version="1.0" encoding="iso-8859-1"?> <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en"> <head> <title>401 Unauthorized</title> </head> <body>

401 Unauthorized

这个sql语句完全删了所有数据,怎样删除多的重复数据,保留重复数据里的一条

from odps import ODPS from odps import options import pandas as pd import multiprocessing as mp CORE = 2 MIGRATE_TABLE = 'crm_adm_pdm_dev.migrate_odps_his_table' df= o.get_table(MIGRATE_TABLE) df= df.to_df().to_pandas() source_table = df['source_table'].values.tolist() partition_col = df['partition_col'].values.tolist() target_table = df['target_table'].values.tolist() condition = df['condition'].values.tolist() def ins(source_table,partition_col,target_table,condition): try: print(source_table,target_table) if partition_col == '' or partition_col is None: sql = "INSERT OVERWRITE TABLE %s SELECT * FROM %s %s" % (target_table,source_table,condition) else: sql = "INSERT OVERWRITE TABLE %s partition(%s) SELECT * FROM %s %s" % (target_table,partition_col,source_table,condition) print(sql) o.execute_sql(sql) except Exception as e: print(f"Error while processing {source_table}:\n {e}") with mp.Pool(processes=CORE) as pool: res = pool.starmap_async(ins,zip(source_table,partition_col,target_table,condition)) res.wait()