Unix Programming
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At—At, Batch—Execute Commands at a Later Time
at—at, batch—execute commands at a later time at [–csm] [–f script] [–qqueue] time [date] [+ increment] at –l [ job...] at –r job... batch at and batch read commands from standard input to be executed at a later time. at allows you to specify when the commands should be executed, while jobs queued with batch will execute when system load level permits. Executes commands read from stdin or a file at some later time. Unless redirected, the output is mailed to the user. Example A.1 1 at 6:30am Dec 12 < program 2 at noon tomorrow < program 3 at 1945 pm August 9 < program 4 at now + 3 hours < program 5 at 8:30am Jan 4 < program 6 at -r 83883555320.a EXPLANATION 1. At 6:30 in the morning on December 12th, start the job. 2. At noon tomorrow start the job. 3. At 7:45 in the evening on August 9th, start the job. 4. In three hours start the job. 5. At 8:30 in the morning of January 4th, start the job. 6. Removes previously scheduled job 83883555320.a. awk—pattern scanning and processing language awk [ –fprogram–file ] [ –Fc ] [ prog ] [ parameters ] [ filename...] awk scans each input filename for lines that match any of a set of patterns specified in prog. Example A.2 1 awk '{print $1, $2}' file 2 awk '/John/{print $3, $4}' file 3 awk -F: '{print $3}' /etc/passwd 4 date | awk '{print $6}' EXPLANATION 1. Prints the first two fields of file where fields are separated by whitespace. 2. Prints fields 3 and 4 if the pattern John is found. -
TDS) EDEN PG MV® Pigment Ink for Textile
Technical Data Sheet (TDS) EDEN PG MV® Pigment Ink for Textile Product Description: Applications: EDEN PG MV water based pigment Ink is ideal for high-speed direct digital printing on all standard fabrics available on the market. The ink prints on all types of fabrics with equal quality and coverage without color shifts or patches. EDEN PG MV Pigment Ink may be used on cotton, cotton blends, polyester, polyamide (nylon) and treated & untreated fabrics. EDEN PG MV is ideal for a wide range of applications including sportswear, footwear, fashion, home décor and home textile and is designed for indoor and outdoor applications. This ink is manufactured using cutting edge technology and • Home textile • Bags • Indoor furnishing high-performance pigments, for optimal ink fluidity and • Décor • Sport apparel • Fashion & apparel printability through piezo printheads without bleeding or • Footwear migration. Compatible Print Head Technology: Ricoh Gen 4 & Gen 5 Industrial print heads based printers. Pre-treatment: The use of Bordeaux EDEN PG™ OS® (pretreatment liquid) is Product Line: recommended in order to achieve higher chemical attributes (see table below for comparison). The pretreatment process for fabrics is done offline using a standard textile padder. Red Cleaning Print procedure: Cyan Magenta Yellow Black Magenta Liquid The printing process can be done either inline or in individual segments. Inline printing allows the printed fabric to be fed Material Compatibility: through a standard textile dryer directly. Alternatively, if the printing stage is separated from the drying stage, drying is • Cotton required before rolling the fabric. • Viscose • Polyester • Lycra Drying Working Parameters: • Silk Recommended drying time: 3 minutes • Polyamide Recommended temperature: 150°C (302°F) • Leather • Synthetic leather Post-treatment: No chemical post treatment is needed. -
Servo Motor EMMT-AS-60-L-LS-RM Part Number: 5242213
Servo motor EMMT-AS-60-L-LS-RM Part number: 5242213 Data sheet Feature Value Short type code EMMT-AS Ambient temperature -15 °C ... 40 °C Note on ambient temperature Up to 80°C with derating of -1.5% per degree Celsius Max. installation height 4000 m Note on max. installation height As of 1,000 m: only with derating of -1.0% per 100 m Storage temperature -20 °C ... 70 °C Relative air humidity 0 - 90% Conforms to standard IEC 60034 Temperature class as per EN 60034-1 F Max. winding temperature 155 °C Rating class as per EN 60034-1 S1 Temperature monitoring Digital motor temperature transmission via EnDat® 2.2 Motor type to EN 60034-7 IM B5 IM V1 IM V3 Mounting position optional Degree of protection IP40 Note on degree of protection IP40 for motor shaft without rotary shaft seal IP65 for motor shaft with rotary shaft seal IP67 for motor housing including connection components Concentricity, coaxiality, axial runout to DIN SPEC 42955 N Balance quality G 2.5 Detent torque <1.0% of the peak torque Storage lifetime under nominal conditions 20000 h Interface code, motor out 60P Electrical connection 1, connection type Hybrid plug Electrical connection 1, connector system M23x1 Electrical connection 1, number of connections/cores 15 Electrical connection 1, connection pattern 00995913 Pollution degree 2 Note on materials RoHS-compliant Corrosion resistance class CRC 0 - No corrosion stress LABS-Conformity VDMA24364 zone III Vibration resistance Transport application test with severity level 2 to FN 942017-4 and EN 60068-2-6 10/2/21 - Subject to change - Festo AG & Co. -
DC Console Using DC Console Application Design Software
DC Console Using DC Console Application Design Software DC Console is easy-to-use, application design software developed specifically to work in conjunction with AML’s DC Suite. Create. Distribute. Collect. Every LDX10 handheld computer comes with DC Suite, which includes seven (7) pre-developed applications for common data collection tasks. Now LDX10 users can use DC Console to modify these applications, or create their own from scratch. AML 800.648.4452 Made in USA www.amltd.com Introduction This document briefly covers how to use DC Console and the features and settings. Be sure to read this document in its entirety before attempting to use AML’s DC Console with a DC Suite compatible device. What is the difference between an “App” and a “Suite”? “Apps” are single applications running on the device used to collect and store data. In most cases, multiple apps would be utilized to handle various operations. For example, the ‘Item_Quantity’ app is one of the most widely used apps and the most direct means to take a basic inventory count, it produces a data file showing what items are in stock, the relative quantities, and requires minimal input from the mobile worker(s). Other operations will require additional input, for example, if you also need to know the specific location for each item in inventory, the ‘Item_Lot_Quantity’ app would be a better fit. Apps can be used in a variety of ways and provide the LDX10 the flexibility to handle virtually any data collection operation. “Suite” files are simply collections of individual apps. Suite files allow you to easily manage and edit multiple apps from within a single ‘store-house’ file and provide an effortless means for device deployment. -
BIMM 143 Introduction to UNIX
BIMM 143 Introduction to UNIX Barry Grant http://thegrantlab.org/bimm143 Do it Yourself! Lets get started… Mac Terminal PC Git Bash SideNote: Terminal vs Shell • Shell: A command-line interface that allows a user to Setting Upinteract with the operating system by typing commands. • Terminal [emulator]: A graphical interface to the shell (i.e. • Mac users: openthe a window Terminal you get when you launch Git Bash/iTerm/etc.). • Windows users: install MobaXterm and then open a terminal Shell prompt Introduction To Barry Grant Introduction To Shell Barry Grant Do it Yourself! Print Working Directory: a.k.a. where the hell am I? This is a comment line pwd This is our first UNIX command :-) Don’t type the “>” bit it is the “shell prompt”! List out the files and directories where you are ls Q. What do you see after each command? Q. Does it make sense if you compare to your Mac: Finder or Windows: File Explorer? On Mac only :( open . Note the [SPACE] is important Download any file to your current directory/folder curl -O https://bioboot.github.io/bggn213_S18/class-material/bggn213_01_unix.zip curl -O https://bioboot.github.io/bggn213_S18/class-material/bggn213_01_unix.zip ls unzip bggn213_01_unix.zip Q. Does what you see at each step make sense if you compare to your Mac: Finder or Windows: File Explorer? Download any file to your current directory/folder curl -O https://bioboot.github.io/bggn213_S18/class-material/bggn213_01_unix.zip List out the files and directories where you are (NB: Use TAB for auto-complete) ls bggn213_01_unix.zip Un-zip your downloaded file unzip bggn213_01_unix.zip curlChange -O https://bioboot.github.io/bggn213_S18/class-material/bggn213_01_unix.zip directory (i.e. -
Cluster Generate — Generate Grouping Variables from a Cluster Analysis
Title stata.com cluster generate — Generate grouping variables from a cluster analysis Description Quick start Menu Syntax Options Remarks and examples Also see Description cluster generate creates summary or grouping variables from a hierarchical cluster analysis; the result depends on the function. A single variable may be created containing a group number based on the requested number of groups or cutting the dendrogram at a specified (dis)similarity value. A set of new variables may be created if a range of group sizes is specified. Users can add more cluster generate functions; see[ MV] cluster programming subroutines. Quick start Generate grouping variable g5 with 5 groups from the most recent cluster analysis cluster generate g5 = groups(5) As above, 4 grouping variables (g4, g5, g6, and g7) with 4, 5, 6, and 7 groups cluster generate g = groups(4/7) As above, but use the cluster analysis named myclus cluster generate g = groups(4/7), name(myclus) Generate grouping variable mygroups from the most recent cluster analysis by cutting the dendrogram at dissimilarity value 38 cluster generate mygroups = cut(38) Menu Statistics > Multivariate analysis > Cluster analysis > Postclustering > Summary variables from cluster analysis 1 2 cluster generate — Generate grouping variables from a cluster analysis Syntax Generate grouping variables for specified numbers of clusters cluster generate newvar j stub = groups(numlist) , options Generate grouping variable by cutting the dendrogram cluster generate newvar = cut(#) , name(clname) option Description name(clname) name of cluster analysis to use in producing new variables ties(error) produce error message for ties; default ties(skip) ignore requests that result in ties ties(fewer) produce results for largest number of groups smaller than your request ties(more) produce results for smallest number of groups larger than your request Options name(clname) specifies the name of the cluster analysis to use in producing the new variables. -
Your Performance Task Summary Explanation
Lab Report: 11.2.5 Manage Files Your Performance Your Score: 0 of 3 (0%) Pass Status: Not Passed Elapsed Time: 6 seconds Required Score: 100% Task Summary Actions you were required to perform: In Compress the D:\Graphics folderHide Details Set the Compressed attribute Apply the changes to all folders and files In Hide the D:\Finances folder In Set Read-only on filesHide Details Set read-only on 2017report.xlsx Set read-only on 2018report.xlsx Do not set read-only for the 2019report.xlsx file Explanation In this lab, your task is to complete the following: Compress the D:\Graphics folder and all of its contents. Hide the D:\Finances folder. Make the following files Read-only: D:\Finances\2017report.xlsx D:\Finances\2018report.xlsx Complete this lab as follows: 1. Compress a folder as follows: a. From the taskbar, open File Explorer. b. Maximize the window for easier viewing. c. In the left pane, expand This PC. d. Select Data (D:). e. Right-click Graphics and select Properties. f. On the General tab, select Advanced. g. Select Compress contents to save disk space. h. Click OK. i. Click OK. j. Make sure Apply changes to this folder, subfolders and files is selected. k. Click OK. 2. Hide a folder as follows: a. Right-click Finances and select Properties. b. Select Hidden. c. Click OK. 3. Set files to Read-only as follows: a. Double-click Finances to view its contents. b. Right-click 2017report.xlsx and select Properties. c. Select Read-only. d. Click OK. e. -
Student Number: Surname: Given Name
Computer Science 2211a Midterm Examination Sample Solutions 9 November 20XX 1 hour 40 minutes Student Number: Surname: Given name: Instructions/Notes: The examination has 35 questions on 9 pages, and a total of 110 marks. Put all answers on the question paper. This is a closed book exam. NO ELECTRONIC DEVICES OF ANY KIND ARE ALLOWED. 1. [4 marks] Which of the following Unix commands/utilities are filters? Correct answers are in blue. mkdir cd nl passwd grep cat chmod scriptfix mv 2. [1 mark] The Unix command echo HOME will print the contents of the environment variable whose name is HOME. True False 3. [1 mark] In C, the null character is another name for the null pointer. True False 4. [3 marks] The protection code for the file abc.dat is currently –rwxr--r-- . The command chmod a=x abc.dat is equivalent to the command: a. chmod 755 abc.dat b. chmod 711 abc.dat c. chmod 155 abc.dat d. chmod 111 abc.dat e. none of the above 5. [3 marks] The protection code for the file abc.dat is currently –rwxr--r-- . The command chmod ug+w abc.dat is equivalent to the command: a. chmod 766 abc.dat b. chmod 764 abc.dat c. chmod 754 abc.dat d. chmod 222 abc.dat e. none of the above 2 6. [3 marks] The protection code for def.dat is currently dr-xr--r-- , and the protection code for def.dat/ghi.dat is currently -r-xr--r-- . Give one or more chmod commands that will set the protections properly so that the owner of the two files will be able to delete ghi.dat using the command rm def.dat/ghi.dat chmod u+w def.dat or chmod –r u+w def.dat 7. -
Powerview Command Reference
PowerView Command Reference TRACE32 Online Help TRACE32 Directory TRACE32 Index TRACE32 Documents ...................................................................................................................... PowerView User Interface ............................................................................................................ PowerView Command Reference .............................................................................................1 History ...................................................................................................................................... 12 ABORT ...................................................................................................................................... 13 ABORT Abort driver program 13 AREA ........................................................................................................................................ 14 AREA Message windows 14 AREA.CLEAR Clear area 15 AREA.CLOSE Close output file 15 AREA.Create Create or modify message area 16 AREA.Delete Delete message area 17 AREA.List Display a detailed list off all message areas 18 AREA.OPEN Open output file 20 AREA.PIPE Redirect area to stdout 21 AREA.RESet Reset areas 21 AREA.SAVE Save AREA window contents to file 21 AREA.Select Select area 22 AREA.STDERR Redirect area to stderr 23 AREA.STDOUT Redirect area to stdout 23 AREA.view Display message area in AREA window 24 AutoSTOre .............................................................................................................................. -
Relational Constraint Driven Test Case Synthesis for Web Applications
Relational Constraint Driven Test Case Synthesis for Web Applications Xiang Fu Hofstra University Hempstead, NY 11549 [email protected] This paper proposes a relational constraint driven technique that synthesizes test cases automatically for web applications. Using a static analysis, servlets can be modeled as relational transducers, which manipulate backend databases. We present a synthesis algorithm that generates a sequence of HTTP requests for simulating a user session. The algorithm relies on backward symbolic image computation for reaching a certain database state, given a code coverage objective. With a slight adaptation, the technique can be used for discovering workflow attacks on web applications. 1 Introduction Modern web applications usually rely on backend database systems for storing important system infor- mation or supporting business decisions. The complexity of database queries, however, often complicates the task of thoroughly testing a web application. To manually design test cases involves labor intensive initialization of database systems, even with the help of unit testing tools such as SQLUnit [25] and DBUnit [8]. It is desirable to automatically synthesize test cases for web applications. There has been a strong interest recently in testing database driven applications and database man- agement systems (see e.g., [12, 4, 20]). Many of them are query aware, i.e., given a SQL query, an initial database (DB) instance is generated to make that query satisfiable. The DB instance is fed to the target web application as input, so that a certain code coverage goal is achieved. The problem we are trying to tackle is one step further – it is a synthesis problem: given a certain database state (or a relational constraint), a call sequence of web servlets is synthesized to reach the given DB state. -
Doing More in UNIX HORT 59000 Lab 3 Instructor: Kranthi Varala Today’S Pairs
Doing more in UNIX HORT 59000 Lab 3 Instructor: Kranthi Varala Today’s pairs Pair #1 Pair #2 Pair #3 Pair #4 Pair #5 Pair #6 Pair #7 Pair #8 Aishwarya, Habte, Chancellor, Rachel F., Rachel H., Michelle, Raquel, Katherine, Shawna Xiaojin Thiti Sara AuditorX Jay Courtney Hannah If your partner is missing, let me know and we’ll adjust the pairs based on availability. Quiz 2 • Open-book policy: You are free to look at all the slides from previous Lectures and labs. • No internet searches for answers. • No talking to others. • You have 20 minutes to complete the quiz. Creating pipelines from commands • The STDIN and STDOUT of each command can be redirected to combine programs together. • For example, the STDOUT of one program can be sent to the STDIN of another program. • STDIN and STDOUT streams can be redirected using the following symbols: 1. > 2. < 3. | Writing vs. Appending to a file $ cat Pasture.txt > Poems.txt Send the contents of Pasture.txt to a new file called Poems.txt. If Poems.txt exists, its contents are over- written. $ cat WoodPile.txt >> Poems.txt Add the contents of WoodPile.txt to the end of the existing file Poems.txt. If Poems.txt does not exist, it will be created. Exercises UNIX commands wget and nano • Search NCBI’s GEO website for the experiment GSE49418. • Find the FTP link for the series matrix file. • Copy the link to the GSE49418_series_matrix.txt.gz file. • Use wget to download the matrix file to a new directory in your scratch folder. -
LINUX INTERNALS LABORATORY III. Understand Process
LINUX INTERNALS LABORATORY VI Semester: IT Course Code Category Hours / Week Credits Maximum Marks L T P C CIA SEE Total AIT105 Core - - 3 2 30 70 100 Contact Classes: Nil Tutorial Classes: Nil Practical Classes: 36 Total Classes: 36 OBJECTIVES: The course should enable the students to: I. Familiar with the Linux command-line environment. II. Understand system administration processes by providing a hands-on experience. III. Understand Process management and inter-process communications techniques. LIST OF EXPERIMENTS Week-1 BASIC COMMANDS I Study and Practice on various commands like man, passwd, tty, script, clear, date, cal, cp, mv, ln, rm, unlink, mkdir, rmdir, du, df, mount, umount, find, unmask, ulimit, ps, who, w. Week-2 BASIC COMMANDS II Study and Practice on various commands like cat, tail, head , sort, nl, uniq, grep, egrep,fgrep, cut, paste, join, tee, pg, comm, cmp, diff, tr, awk, tar, cpio. Week-3 SHELL PROGRAMMING I a) Write a Shell Program to print all .txt files and .c files. b) Write a Shell program to move a set of files to a specified directory. c) Write a Shell program to display all the users who are currently logged in after a specified time. d) Write a Shell Program to wish the user based on the login time. Week-4 SHELL PROGRAMMING II a) Write a Shell program to pass a message to a group of members, individual member and all. b) Write a Shell program to count the number of words in a file. c) Write a Shell program to calculate the factorial of a given number.