Stdf File Converter !LINK!
Ok, a fast parser is first of all writen in probably C/C++, and it has to dispence of a lot of the checking/correcting in order to become realy fast, and probably throwing away information not deemed interesting enough (and later turns out to be vital). However in real life STDF files are far from perfect, meaning that fast parsers will FAIL to do their intended job! You might tweak them for one or another ATE in your environment, but it will not be a can-do-everything parser!
Stdf File Converter
You could use this library to make your own "converters", however this is the goal of the Semi-ATE-Metis project, so by unsing Semi-ATE-Metis (which depends on Semi-ATE-STDF) you don't need to handle the 'conversion' anymore and you can directly make your hands dirty with the 'tool' you want to have !!! :thumbsup:
STDF Converter is an extremely flexible batch STDF converter. It can read one or more STDF files and generate CSV, Excel xlsx or JMP JSL data from the files. The output file can contain parametric, bin summary or test summary (pass-fail by test) data from the files. CSV files can be loaded into Excel and almost every other data analysis tool and database, so STDF Converter lets you get your data into whatever tool you are comfortable using.
STDF QuickChange is published as a gzipped tar file so that it can easily be installed on Linux servers or any personal computer. In the following instructions, the name of the downloaded file will vary slightly, depending on the actual version to be installed.
java -cp "stdfConverter.jar";"guava-23.0.jar";"commons-cli-1.4.jar";"sqlitejdbc-3.35.0.1.jar";"gson-2.7.jar";commons-math3-3.6.1.jar;po-4.1.2.jar;poi-ooxml-4.1.2.jar;poi-ooxml-schemas-4.1.2.jar;commons-compress-1.19.jar;commons-collections4-4.4.jar;xmlbeans-3.1.0.jar spry.stdf.converter.StdfConverter -parametric -csv -output outfile.csv infile.stdf
SET mypath=%dp0java -Xmx784m -cp "%mypath%stdfConverter.jar";"%mypath%stax-api-1.0.1.jar";"%mypath%dom4j-1.6.1.jar";"%mypath%xmlbeans-2.3.0.jar";"%mypath%poi-ooxml-schemas-3.10-FINAL-20140208.jar";"%mypath%poi-ooxml-3.10-FINAL-20140208.jar";"%mypath%poi-3.10-FINAL-20140208.jar";"%mypath%guava-16.0.jar";"%mypath%commons-cli-1.2.jar";"%mypath%sqlitejdbc-v056.jar";"%mypath%gson-2.7.jar";%mypath%commons-math3-3.6.1.jar spry.stdf.converter.StdfConverter -sbr --csv -outputdir %2 -inputdir %1called like thisconverter.bat c:\stdf_dir c:\csv_output_dir
To write the software bins for all stdf files in the provided directory (and its subdirectories) into one output file, the script would look like this:SET mypath=%dp0java -Xmx784m -cp "%mypath%stdfConverter.jar";"%mypath%stax-api-1.0.1.jar";"%mypath%dom4j-1.6.1.jar";"%mypath%xmlbeans-2.3.0.jar";"%mypath%poi-ooxml-schemas-3.10-FINAL-20140208.jar";"%mypath%poi-ooxml-3.10-FINAL-20140208.jar";"%mypath%poi-3.10-FINAL-20140208.jar";"%mypath%guava-16.0.jar";"%mypath%commons-cli-1.2.jar";"%mypath%sqlitejdbc-v056.jar";"%mypath%gson-2.7.jar";%mypath%commons-math3-3.6.1.jar spry.stdf.converter.StdfConverter -sbr --csv -output %2 -inputdir %1and it would be called like this:converter.bat c:\stdf_dir c:\csv_output\my_outout_file.csv
The STDF datalog format developed by Teradyne has become the de facto standard in datalog formats in the semiconductor industry as most modern ATE manufacturers support the format. Data processing of the STDF files often require reading the binary files and converting them to formats that are human-readable or for input into a database. It is also possible that the STDF file is converted to ATDF or an ATDF file is converted to STDF.
During such data processing, we at yieldHUB have encountered several issues that can affect the usability and accuracy of the data being presented. In this blog, we will talk about the five things to watch out when dealing with STDF files. These issues are significant and knowledge about them can prevent confusion later on when processing STDF datalogs.
We have seen a converter output that transfroms the MPR test to several PTR tests into CSV. This is a bad practice because one loses the metadata that makes the test as an MPR. So when the CSV file is converted back to STDF, the MPR has become multiple PTRs.
The 5 tips above can help you deal with multiple issues and variations of STDF files and perhaps even with non-STDF files. The more subcons are involved with the testing, the more variation can be expected. Even with companies that have quite a tight control on data capture, there are some test systems that lack capability for automation of data capture so these will depend on manual input.
This file does not seem to be a simple flat file using the CSV convention. Such a file would have a line with column names separated by a column (variables or fields) followed by separate lines with data in the same order for each observation or record (row). Your file has values separated by a comma but the header information and the data appear to be spread across many rows.
Each of the methods here will outputto the standard output stream. Keyword arguments provided to thesemethods will be passed on to the internal print command. This allowyou to route the output to a text file instead of the stdout. For example:
If you want to open a .stdf file on your computer, you just need to have the appropriate program installed. If the .stdf association isn't set correctly, you may receive the following error message:
Windows can't open this file:File: example.stdfTo open this file, Windows needs to know what program you want to use to open it. Windows can go online to look it up automatically, or you can manually select from a list of programs that are installed on your computer.
You can also manually export all types of data from your STDF files into standard formats for JMP or CSV. You can set up automated pre-generation of data extracts for quick loading into JMP, Excel, or any analysis tool that reads CSV files. You can even edit identifier information like a missing wafer record or incorrect lot ID across multiple files all at once, while maintaining a standard audit trail. Key information including lot, date, sublot or wafer ID is shown for each STDF file.
Rather than using Windows Explorer or Finder to load files into your analysis tool, you can manage files directly from the QuickLoad Central dashboard. 9 Global Settings Use File-based Dashboard Options Configuring PAT Limit Preferences Chart Options File Loading Options File Saving Options File Summary Options Parametric Results Options Tests Options Wafer Bin Map Options Making Charts Making Charts with Parameters Managing Auto-generation of Extracts Setting the Root Location for Extracts Enabling Auto-generated Extracts Viewing Extract and Report Files Exporting Data Sending Data to Excel QuickLoad-Central User Guide iiģ Sending Data to JMP Exporting Data to a File Exporting the Dashboard Editing Files Managing Files in QuickEdit Opening New Files Opening Recent Files Viewing STDF Files Sorting Data Editing Data Adding Data Recalculating Statistics for Edited Files Editing Header Fields in the Master Information Record (MIR) Saving New Files Merging STDF Files Appending STDF Files QuickLoad-Central User Guide iiiĤ Introduction QuickLoad Central allows you to manage your STDF files using a filterable dashboard.
Standard Test Data Format (STDF) is a widely used standard file format for semiconductor test information. It is a commonly used format produced by automatic test equipment (ATE) platforms from companies such as LTX-Credence, Roos Instruments, Teradyne, Advantest, and others.
A STDF file is compacted into a binary format according to a well defined specification originally designed by Teradyne. The record layouts, field definitions, and sizes are all described within the specification. Over the years, parser tools have been developed to decode this binary format in several scripting languages, but as of yet nothing has been released to CPAN for Perl.
Parse::STDF is a first attempt. It is an object oriented module containing methods which invoke APIs of an underlying C library called libstdf (see ). libstdf performs the grunt work of reading and parsing binary data into STDF records represented as C-structs. These structs are in turn referenced as Perl objects.
I've released version 0.4of libstdf. This release contains some more bugfixes and a demo of the newrecord writing functionality.Current problems I forsee involve reading the record type PLR with STDFv4. Also, STDFv3is pretty much untested; support has been added only per spec. The writingsupport is just a feature preview; not all record types are implemented yet.The TODO list is growing ! Feel free to help tackle it and add your own suggestions via themailing list (see the Contact section).
STDF Solutions is a free software published in the Other list of programs, part of Business.This program is available in English. It was last updated on 01 October, 2019. STDF Solutions is compatible with the following operating systems: Linux.The company that develops STDF Solutions is freestdf.sf.net. The latest version released by its developer is 1.0. This version was rated by 15 users of our site and has an average rating of 2.2.The download we have available for STDF Solutions has a file size of . Just click the green Download button above to start the downloading process. The program is listed on our website since 2010-02-09 and was downloaded 2693 times. We have already checked if the download link is safe, however for your own protection we recommend that you scan the downloaded software with your antivirus. Your antivirus may detect the STDF Solutions as malware if the download link is broken.How to install STDF Solutions on your Windows device:Click on the Download button on our website. This will start the download from the website of the developer.
Once the STDF Solutions is downloaded click on it to start the setup process (assuming you are on a desktop computer).
When the installation is finished you should be able to see and run the program.