深入汇编语言学习:寄存器与栈操作源码解析

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资源摘要信息:"PN.rar_汇编" 文件标题为“PN.rar_汇编”,其中“PN”可能是该资料集的缩写或名称,而“rar”表明这些文件被压缩成了RAR格式,通常用于打包多个文件以减小体积、提高传输效率或便于存档。该标题直接指明文件的主题是关于“汇编”,这是计算机科学中的一个基础领域,涉及直接使用机器语言指令来编写程序。汇编语言是低级编程语言的一种,它与机器代码密切相关,但是提供了一些符号表示法以简化编程。 描述中提到“PN 汇编 学习资料 寄存器 栈 源码”,这些词汇指向了汇编语言学习的重点内容。寄存器是CPU内部用于临时存储数据和指令的存储单元,是计算机硬件中执行速度最快的存储位置。栈是一种数据结构,通常用于管理函数调用和返回、局部变量存储以及表达式求值等。源码则是指用汇编语言编写的具体程序代码。这段描述说明了该资料集合可能包含关于汇编语言基础概念的解释、寄存器的使用方法、栈操作的实现以及具体的汇编源码示例。 标签为“汇编”,与标题中的内容一致,指明了这些文件的性质和研究领域。使用标签是组织和检索信息的一个有效手段,尤其是当文件数量较多时,标签可以帮助用户快速定位到自己感兴趣的内容。 压缩包子文件的文件名称列表包括“p210.asm”、“p206.asm”、“p208.asm”、“p188.asm”、“p270.asm”、“p201.asm”、“p187.asm”。这些文件名中的“p”可能代表某一套教程或资料中的页面编号,后面的数字可能表示特定的课程或话题序号。而“.asm”是汇编语言源代码文件的通用扩展名,这表明列表中的每个文件都是一个汇编程序,它们可能是与课程内容相关的实例程序或是供学习者练习使用的模板。 在深入学习汇编语言时,重要知识点通常包括: 1. 数据表示:理解不同数据类型(如整型、浮点型)在寄存器中的表示方法。 2. 指令集架构:掌握特定CPU架构下的指令集,如Intel的x86或ARM架构的指令集。 3. 寄存器操作:学习如何使用寄存器来存储和处理数据,包括通用寄存器、指针寄存器和控制寄存器等。 4. 控制结构:掌握使用条件跳转、循环控制语句等结构来控制程序流程。 5. 栈的使用:学习如何在汇编中利用栈实现函数调用、局部变量的存储以及参数传递。 6. 汇编语法:熟悉汇编语言的语法结构,包括指令的格式、标签的使用、伪指令和宏指令等。 7. 调试和优化:学习如何使用调试工具来检查和修复程序中的错误,以及如何通过汇编语言对程序进行性能优化。 通过研究“PN.rar_汇编”中的文件,学习者可以获得对汇编语言底层工作原理的深刻理解,并为编写高效、紧凑的代码打下坚实的基础。对于那些希望深入计算机系统底层,或者有兴趣进行系统级编程的开发者来说,汇编语言是一个不可或缺的学习领域。

SELECT PIS.SHOW_FLT_DETAIL AS SHOW_FLT_DETAIL -- new , PIS.SHOW_AWB_DETAIL AS SHOW_AWB_DETAIL -- new , PIS.DISPLAY_AIRLINE_CODE AS CARRIER_CODE , DECODE(PIS.REVERT_FLOW,'N',PIS.FLOW_TYPE,DECODE(PIS.FLOW_TYPE,'I','E','I')) AS FLOW_TYPE , PIS.SHIP_TO_LOCATION AS SHIP_TO_LOCATION , PIS.INVOICE_SEQUENCE AS INVOICE_SEQUENCE , PFT.FLIGHT_DATE AS FLIGHT_DATE , PFT.FLIGHT_CARRIER_CODE AS FLIGHT_CARRIER_CODE , PFT.FLIGHT_SERIAL_NUMBER AS FLIGHT_SERIAL_NUMBER , PFT.FLOW_TYPE AS AIRCRAFT_FLOW , FAST.AIRCRAFT_SERVICE_TYPE AS AIRCRAFT_SERVICE_TYPE , PPT.AWB_NUMBER AS AWB_NUMBER , PPT.WEIGHT AS WEIGHT , PPT.CARGO_HANDLING_OPERATOR AS CARGO_HANDLING_OPERATOR , PPT.SHIPMENT_PACKING_TYPE AS SHIPMENT_PACKING_TYPE , PPT.SHIPMENT_FLOW_TYPE AS SHIPMENT_FLOW_TYPE , PPT.SHIPMENT_BUILD_TYPE AS SHIPMENT_BUILD_TYPE , PPT.SHIPMENT_CARGO_TYPE AS SHIPMENT_CARGO_TYPE , PPT.REVENUE_TYPE AS REVENUE_TYPE , PFT.JV_FLIGHT_CARRIER_CODE AS JV_FLIGHT_CARRIER_CODE , PPT.PORT_TONNAGE_UID AS PORT_TONNAGE_UID , PPT.AWB_UID AS AWB_UID , PIS.INVOICE_SEPARATION_UID AS INVOICE_SEPARATION_UID , PFT.FLIGHT_TONNAGE_UID AS FLIGHT_TONNAGE_UID FROM PN_FLT_TONNAGES PFT , FZ_AIRLINES FA , PN_TONNAGE_FLT_PORTS PTFP , PN_PORT_TONNAGES PPT , FF_AIRCRAFT_SERVICE_TYPES FAST , SR_PN_INVOICE_SEPARATIONS PIS --new , SR_PN_INVOICE_SEP_DETAILS PISD--new , SR_PN_INV_SEP_PORT_TONNAGES PISPT --new WHERE PFT.FLIGHT_OPERATION_DATE >= trunc( CASE :rundate WHEN TO_DATE('01/01/1900', 'DD/MM/YYYY') THEN ADD_MONTHS(SYSDATE,-1) ELSE ADD_MONTHS(:rundate,-1) END, 'MON') AND PFT.FLIGHT_OPERATION_DATE < trunc( CASE :rundate WHEN TO_DATE('01/01/1900', 'DD/MM/YYYY') THEN TRUNC(SYSDATE) ELSE TRUNC(:rundate) END, 'MON') AND PFT.TYPE IN ('C', 'F') AND PFT.RECORD_TYPE = 'M' AND (PFT.TERMINAL_OPERATOR NOT IN ('X', 'A') OR (PFT.TERMINAL_OPERATOR <> 'X' AND FA.CARRIER_CODE IN (SELECT * FROM SPECIAL_HANDLING_AIRLINE) AND PPT.REVENUE_TYPE IN (SELECT * FROM SPECIAL_REVENUE_TYPE) AND PPT.SHIPMENT_FLOW_TYPE IN (SELECT * FROM SPECIAL_SHIPMENT_FLOW_TYPE) AND PFT.FLIGHT_OPERATION_DATE >= (select EFF_DATE from SPECIAL_HANDLING_EFF_DATE) )) AND PFT.DELETING_DATETIME IS NULL AND FA.AIRLINE_UID = PFT.AIRLINE_UID AND FA.DELETING_DATETIME IS NULL AND PTFP.FLIGHT_TONNAGE_UID = PFT.FLIGHT_TONNAGE_UID AND PTFP.RECORD_TYPE = 'M' AND PTFP.DELETING_DATETIME IS NULL AND PPT.TONNAGE_FLIGHT_PORT_UID (+)= PTFP.TONNAGE_FLIGHT_PORT_UID AND PPT.RECORD_TYPE (+)= 'M' AND PPT.DISCREPANCY_TYPE (+)= 'NONE' AND PPT.ADJUSTMENT_INC_FLAG (+)= 'Y' AND PPT.DELETING_DATETIME (+) IS NULL AND FAST.AIRCRAFT_SERVICE_TYPE_UID = PFT.AIRCRAFT_SERVICE_TYPE_UID AND FAST.DELETING_DATETIME IS NULL AND PIS.TEMPORAL_NAME = TO_CHAR((CASE :rundate --new WHEN TO_DATE('01/01/1900', 'DD/MM/YYYY') THEN TRUNC(SYSDATE) ELSE TRUNC(:rundate) END ), 'YYYYMM') || '00' AND PIS.INVOICE_SEPARATION_UID = PISD.INVOICE_SEPARATION_UID --new AND PISD.INVOICE_SEP_DETAIL_UID = PISPT.INVOICE_SEP_DETAIL_UID --new AND PISPT.PORT_TONNAGE_UID = PPT.PORT_TONNAGE_UID --new AND PIS.PRINT_SUPPORTING_DOC = 'Y';上面是oracle的写法,请转成spark SQL的写法。

2023-06-02 上传

优化以下SQL select pao.id, pao.order_no, pao.apply_time, pao.purchase_user_id, pao.purchase_user_name, pao.apply_user_id, pao.apply_user_name, pao.apply_department_id, pao.apply_department_name, pao.apply_end_time, pao.create_user_id, pao.create_user_name, pao.approve_type, pao.approve_user_id, pao.approve_user_name, pao.approve_time, pao.description, pao.order_type, pao.purchase_type, pao.storage_type, pao.compose_order_no, pao.company_id, pao.delete, pao.create_time, pao.update_time, pao.supplier_id, pao.image_path, pao.contract_id, pao.status, pao.invoice_signer_name, pao.total_amount, pao.total_amount_tax, pao.purchase_status, pao.cancel_reason, pao.print_status, pao.demand_id, pao.arrival_status, pao.supervise_num, pao.supervise_date, pao.merge_apply_id, pao.deadline, pao.remind , s.name as supplierName, paod.amount, cm.return_status as returnStatus, cm.inventory_status as inventoryStatus, cm.stock_remark, cm.merge_flag, cm.signature_file, cm.department_pass, cm.receipt_file, cm.amount_paid, cm.amount_unpaid, cm.contract_name, cm.status as contractStatus, cm.contract_no, cm.contract_amount, paod.product_name, cm.advance_payment, cm.advance_ratio, cm.currency_unit from purchase_apply_order pao left join supplier s on pao.supplier_id = s.id left join ( SELECT GROUP_CONCAT(distinct p.product_name) product_name, sum(IFNULL(amount_tax, 0)) amount, apply_order_no from purchase_apply_order_details pa left join product p on p.pn_code = pa.product_code where p.company_id = 29 GROUP BY apply_order_no ) paod on paod.apply_order_no = pao.order_no left join contract_management cm on pao.contract_id = cm.id where pao.delete = 0 and pao.company_id = 29 and deadline <= '2023-05-25 15:34:00.01' and remind = 0 and arrival_status in( 0 , 1 ) order by pao.create_time desc;

2023-05-25 上传

import time import csv import pandas as pd from selenium import webdriver from selenium.webdriver import Chrome,ChromeOptions from selenium.webdriver.common.by import By # driver_path = r'C:\Program Files\Google\Chrome\Application\chrome.exe' driver = webdriver.Chrome() driver.get('https://www.jd.com/') def drop_down(): for x in range(1,9,2): time.sleep(1) j = x /9 js = 'document.documentElement.scrollTop = document.documentElement.scrollHeight * %f' % j driver.execute_script(js) driver.find_element(By.CSS_SELECTOR,'#key').send_keys('燕麦') driver.find_element(By.CSS_SELECTOR,'.button').click() f = open(f'B:\京东商品数据.csv', mode='a', encoding='gbk', newline='') csv_writer = csv.DictWriter(f, fieldnames=[ '商品标题', '商品价格', '店铺名字', '标签', '商品详情页', ]) csv_writer.writeheader() 商品信息 = [] def get_shop(): time.sleep(10) # driver.implicitly_wait(10) drop_down() lis = driver.find_elements(By.CSS_SELECTOR,'#J_goodsList ul li') for li in lis: title = li.find_element(By.CSS_SELECTOR,'.p-name em').text.replace('\n', '') price = li.find_element(By.CSS_SELECTOR,'.p-price strong i').text shop_name = li.find_element(By.CSS_SELECTOR,'.J_im_icon a').text href = li.find_element(By.CSS_SELECTOR,'.p-img a').get_attribute('href') icons = li.find_elements(By.CSS_SELECTOR,'.p-icons i') icon = ','.join([i.text for i in icons]) dit = { '商品标题':title, '商品价格':price, '店铺名字':shop_name, '标签':icon, '商品详情页':href, } csv_writer.writerow(dit) # print(title,price,href,icon,sep=' | ') for page in range(1,3): time.sleep(1) drop_down() get_shop() driver.find_element(By.CSS_SELECTOR,'.pn-next').click() driver.quit() # data = csv.reader(open('B:\京东商品数据.csv'),delimiter=',') # sortedl = sorted(data,key=lambda x:(x[0],x[1]),reverse=True) # print('最贵的商品信息') # print(sortedl) # with open('B:\京东商品数据.csv','r',encoding='gbk') as f: # f_csv = csv.reader(f) # max_price = 0 # next(f_csv) # for row in f_csv: # if row[1].isdigit() and int(row[1]) > max_price: # max_price = int(row[1]) # print(max_price) with open('B:\京东商品数据.csv', 'r') as file: reader = csv.reader(file) header =next(reader) next(reader) max_price = float('-inf') for row in reader: num = float(row[1]) if num > max_price: max_price = num item = row[0] name_0= row[2] print(item,max_price,name_0)程序中出现ValueError: could not convert string to float: '商品价格'解决方法

2023-06-11 上传

import os import tkinter as tk from tkinter import ttk import pymssql import smtplib from email.mime.multipart import MIMEMultipart from email.header import Header from email.mime.text import MIMEText host = '..*.**' user = 'sa' password = '123456789' database = 'deste' class MSSQL: """""" def init(self): self.db_config = {"host": host, "user": user, "password": password, "database": database} def __get_connect(self, charset='utf8'): try: # 实例化连接对象 self.conn = pymssql.connect(**self.db_config, charset=charset) cur = self.conn.cursor() except pymssql.DatabaseError: print('连接失败') cur = '' else: print('连接成功') return cur def exec_query(self, str_sql): cur = self.__get_connect(charset='GBK') cur.execute(str_sql) results_list = cur.fetchall() cur.close() self.conn.close() return results_list def exec_non_query(self, str_sql): cur = self.__get_connect() cur.execute(str_sql) self.conn.commit() cur.close() self.conn.close() def zhaowenjian(list_result): ''' 需要查找的关键字列表 和对应的path ''' print(list_result) result1 = [item[3] + item[2] for item in list_result if item[0] == 6] result2 = [item[3] + item[2] for item in list_result if item[0] == 2] path1 = 'E:/出货报告/5604' path2 = 'E:/出货报告1/5604' keywords1 = result1 keywords2 = result2 ''' 找到文件路径 ''' file_dict = {} for pn in keywords1: file_dict[pn] = [] for pn in keywords2: file_dict[pn] = [] for root, dirs, files in os.walk(path1): for file in files: for keyword in keywords1: if keyword in file: file_dict[keyword].append(os.path.join(root, file)) for root, dirs, files in os.walk(path2): for file in files: for keyword in keywords2: if keyword in file: file_dict[keyword].append(os.path.join(root, file)) print(file_dict) for key,value in file_dict.items(): print(key,value,len(value)) return file_dict def show_file_dict(): file_dict = zhaowenjian(list_result) if name == 'main': Sql = """SELECT [WHSE_PTR] , [SALES_ORDER] , [CP_REV] , [CUSTOMER_PART_NUMBER] , [INTIME] , [stat] FROM[fineReport].[dbo].[lCSRM5604] where stat = 1""" list = MSSQL().exec_query(Sql) list_result = list zhaowenjian(list_result) show_file_dict() 在Django中调用这个py文件的代码

2023-05-30 上传