Skip to main content

Running VFP 9 with Windows NT 4?

Saw a recent note from Woody

You may know, VFP9 (IDE and RT) are not working on NT4 based
systems due to a not resolved API call. This may get fixed in a possible SP, but until then maybe this statement by Rainer Becker (Leader of the German FoxPro Usergroup) may be of interest:

Please inform your readers/customers/users in your next issue / email that a free patch for VFP 9.0 is available to run it on NT 4.0.

The patch has been created by the German FoxPro User Group (www.dfpug.de) and can be found at the dFPUG document portal in the directory
http://portal.dfpug.de/dFPUG/Dokumente/Freeware/

so VFP-developers do not need to wait any more to buy an update of VFP 9.0 if they or their customers still use NT4.

Some Technical details what the patch program does:

1. vfp90nt4.dll is copied to Windows system directory
2. vfp9r.dll and vfp9t.dll in VFP-Runtime folder at "Shared Files" are
patched.
3. vfp9.exe in VFP-program directory is patched.
4. vfp9.exe, vfp9r.dll, vfp9t.dll in same directory are patched.
5. backup copies of all files are made (extension .001, .002 and so on)

A patched VFP9 file will run on any operating system as long as it can find vfp90nt4.dll in the windows system directory or the current directory. The patch program can be forwarded to users if needed but you are not allowed to offer it as an own download - please link to the above mentionend directory instead. Patching executables might cause problems with virus filters and/or licence agreements. No guarantees whatsoever for patch program and results.


Dokumente

Comments

Anonymous said…
A quick search in Google directed me to this post of yours, which fixed my vfp9 can't run on NT4 problem.

Thanks Andrew (and of course the German User Group).

Popular posts from this blog

Elevating Project Specifications with Three Insightful ChatGPT Prompts

For developers and testers, ChatGPT, the freely accessible tool from OpenAI, is game-changing. If you want to learn a new programming language, ask for samples or have it convert your existing code. This can be done in Visual Studio Code (using GitHub CoPilot) or directly in the ChatGPT app or web site.  If you’re a tester, ChatGPT can write a test spec or actual test code (if you use Jest or Cypress) based on existing code, copied and pasted into the input area. But ChatGPT can be of huge value for analysts (whether system or business) who need to validate their needs. There’s often a disconnect between developers and analysts. Analysts complain that developers don’t build what they asked for or ask too many questions. Developers complain that analysts haven’t thought of obvious things. In these situations, ChatGPT can be a great intermediary. At its worst, it forces you to think about and then discount obvious issues. At best, it clarifies the needs into documented requirements. ...

Respect

Respect is something humans give to each other through personal connection. It’s the bond that forms when we recognize something—or someone—as significant, relatable, or worthy of care. This connection doesn’t have to be limited to people. There was an  article  recently that described the differing attitudes towards AI tools such as ChatGPT and Google Gemini (formerly Bard). Some people treat them like a standard search while others form a sort of personal relationship — being courteous, saying “please” and “thank you”. Occasionally, people share extra details unrelated to their question, like, ‘I’m going to a wedding. What flower goes well with a tuxedo?’ Does an AI “care” how you respond to it? Of course not — it reflects the patterns it’s trained on. Yet our interaction shapes how these tools evolve, and that influence is something we should take seriously. Most of us have all expressed frustration when an AI “hallucinates”. Real or not, the larger issue is that we have hi...

Friend vs Therapist vs LLM: Shades of Grey

The conversations with AI series brings up a single point and then compares it between different LLM engines. These types of conversations were one of the many contributing factors to my writing of " Towards Consciousness " that explores the benefits and issues of creating a conscious AI. In this scenario, I was interested in seeing how an LLM might differ from a friend or therapist on issues that may have nuanced responses or contexts. In doing so, I came up with an interesting discussion on shades of grey. My Premise: Is it a bit strange to be using an LLM as a sober second thought? Every time I walk down this path of “why use an LLM to do certain things”, I come back to the alternatives that people like to say. “Why not bring it up with a friend?” A friend typically has your back or will say whatever to support their own agenda. “A therapist?” That’s someone who is “trained” to be impartial. But a computer? A computer is impartial based on two logical outcomes. If you say ...