PYTHON LANGUAGETOOL CODE
Error message: Code in file main.py can't be loaded. I'm getting the following error message - Function failed on loading user code. In the requirement.txt we have - language-tool-python=2.4.5
PYTHON LANGUAGETOOL INSTALL
I'm using the language_tool_python library in the cloud function # install and import for grammar accuracy Please install java to use language-tool-python. I could use the library using my local virtual environment where I have java installed.īut when I'm trying to deploy it in Cloud Function, I'm getting ModuleNotFoundError: No java install detected.
A paper describing this work appeared at this year's USENIX Conference on Operating System Design and Implementation, where it won a Best Paper Award.How you use language tool in Google Cloud Function? I'm trying to deploy in GCP Cloud Function with runtime Python 3.7. Scalene is already in wide use and has been downloaded more than 750,000 times since its public unveiling on GitHub.
"Future improvements in speed will come less from better hardware and more from faster, more efficient programming." "Computers are no longer getting faster," says Berger. "It's not just a speedometer telling you how fast or slow your car is going, it tells you if you could be going faster, why your speed is affected and what you can do to get up to maximum speed." "This is an actionable dashboard," says Berger. Once Scalene has identified where Python is having trouble keeping up, it then uses AI-leveraging the same technology underpinning ChatGPT-to suggest ways to optimize individual lines, or even groupings of code. It focuses on three key areas-the CPU, GPU and memory usage-that are responsible for the majority of Python's sluggish speed. "Scalene first teases out where your program is wasting time," Berger says. At best, they indicate that a region of code is slow, and leave it to the programmer to figure out what, if anything, can be done.īerger's team, which included UMass computer science graduate students Sam Stern and Juan Altmayer Pizzorno, built Scalene to be the first profiler that not only precisely identifies inefficiencies in Python code, but also uses AI to suggest how the code can be improved. Unfortunately, existing profilers do surprisingly little to help Python programmers. Programmers have long known this, and to help fight Python's inefficiency, they can use tools called "profilers." Profilers run programs and then pinpoint which parts are slow and why. "It easily runs between 100 to 1,000 times slower than other languages, and some tasks might take 60,000 times as long in Python." "But Python is crazy inefficient," says Berger. "Python is a 'batteries-included' language," says Berger, who is a professor of computer science in the Manning College of Information and Computer Sciences at UMass Amherst, "and it has become very popular in the age of data science and machine learning because it is so user-friendly." The language comes with libraries of easy-to-use tools and has an intuitive and readable syntax, allowing users to quickly begin writing Python code. There are many different programming languages-C++, Fortran and Java are some of the more well-known ones-but, in recent years, one language has become nearly ubiquitous: Python.
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