import pocketsphinx
for phrase in pocketsphinx.LiveSpeech():print(phrase)
So the weirdest thing ever happened. This code worked fine. Then I cut and pasted it into another python file in the same project and boom I get, AttributeError: module 'pocketsphinx' has no attribute 'LiveSpeech'. pocketsphinx is in my external libraries and my ide recognizes it, but now there is no autocomplete options with pocketsphinx.(should have recommendations). So this is weird. When I cut and past back to old file it does not work either now. ??? Hmm... Why
This kind of error often happens when there is a module in the project directory with the same name as the one being imported. This file is then found earlier when traversing sys.path, so it shadows the library you're trying to import.
So in this case you probably have a file pocketsphinx.py within your project directory. If you rename that to something else then it should work.
Related
I am working with Python in VS Code. I have two modules, mod_A and mod_b, where mod_A imports a method do_this_thing from mod_B. Everything was going fine until I tried to refactor do_this_thing into _do_this_thing. (The function is an internal function).
I used the Rename Symbol option in VS Code to perform the refactor. I doublechecked that all instances in my fairly simple code base were covered.
The strange behavior that I'm getting is that when I run mod_A and it gets to the renamed function call, I get an AttributeError telling me that there is no function _do_this_thing. The head scratcher, though, is that if I manually change _do_this_thing back into do_this_thing in mod_A, my code executes as expected— even though it is still defined as _do_this_thing in mod_B! Furthermore, I can't step into do_this_thing when I run it in mod_A.
I have tried deleting all __pycache__ files, as that was the first thing that I thought of. I've also tried clearing VS Code's cache, deleting my project, and starting over with the refactor from a fresh pull from GitHub. No dice.
Hopeful that someone here can help me solve this esoteric problem!
Edit: Adding some debugging context for the votes to close my question:
Windows 10, VS Code
Miniconda Python distribution
PYTHONPATH variable has project directory on it
Modules imported correctly; the bug happened when I changed the name of a function in the module being imported
Python appears to be importing a cached verison of the earlier code from somewhere, but I've reset everything and still have the issue
I'm trying out Freeling's API for python. The installation and test were ok, they provide a sample.py file that works perfectly (I've played around a little bit with it and it works).
So I was trying to use it on some other python code I have, in a different folder (I'm kind of guessing this is a path issue), but whenever I import freeling (like it shows on the sample.py):
import freeling
FREELINGDIR = "/usr/local";
DATA = FREELINGDIR+"/share/freeling/";
LANG="es";
freeling.util_init_locale("default");
I get this error:
ModuleNotFoundError: No module named 'freeling'.
The sample.py is located on the ~/Freeling-4.0/APIs/Python/ folder, while my other file is located in ~/project/, I dont know if that can be an issue.
Thank you!
A simple solution is to have a copy of freeling.py in the same directory as your code, since python will look there.
A better solution is to either paste it in one of the locations where it usually checks (like the lib folder in its install directory), or to tell it that the path where your file is should be scanned for a module.
You can check out this question to see how it can be done on Windows. You are basically just setting the PYTHONPATH environment variable, and there will only be minor differences in how to do so for other OSes. This page gives instructions that should work on Linux systems.
I like this answer since it adds the path at runtime in the script itself, doesn't make persistent changes, and is largely independent of the underlying OS (apart from the fact that you need to use the appropriate module path of course).
You need to set PYTHONPATH so python can find the modules if they are not in the same folder.
I need some third-party c library to be imported into a low-level module. I'm following these instructions. It says that find_library() should help me find such a lib, excluding any lib prefix and .so suffix.
#next 2 lines just to test
test =find_library('spcm_linux')
print(test)
#this line below is the actual code
spcmDll = cdll.LoadLibrary("libspcm_linux.so")
Returns:
None
OSError: spcm_linux.so: cannot open shared object file: No such file or directory
My library lives at:
/usr/lib/gcc/x86_64-linux-gnu/libspcm_linux.so
Reading about find_library() from the docs, it tells me that I can set an environment variable to add an environement variable (LD_LIBRARY_PATH). So in /etc/environement I have:
PATH="/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:"
PYTHONPATH="/home/fv/.local/lib/python3.6/site-packages"
LD_LIBRARY_PATH="/usr/lib/gcc/x86_64-linux-gnu"
I restart, try and it still doesn't work (same error message).
Any other way to "find" my library? Could put it in my program.py directory directly & import it some other way?
EDIT:
However, it does find libgomp.so.1, which is in the exact same folder as the library I'm trying to load. If that helps...
Turns out the root of the issue was rights.
Rights to the libspcm_linux.so lib weren't set properly and thus the script had no access rights to it.
However, the error that popped up was still about No such file or directory. I presume this is because it's a C library, which ctypes tried to load. It couldn't load it (because it didn't have the rights to it) however apparently it didn't see it fit to propagate the error (or couldn't because of some technicalities of how C code is loaded, perhaps).
Therefore from it's point of view, it couldn't load the requested library, and told me so - "No such file or..." even if this hide the real cause of the problem.
I am attempting to convert parts of an Android app to iOS using Doppl, and I am getting a strange result: Doppl keeps trying to pull in android.arch.lifecycle:reactivestreams, even though I don't want it to.
Specifically, in app/build/j2objcSrcGenMain/android/arch/lifecycle/, there is a reactivestrams/ subdirectory with R.h and R.m files in it. This seems to make Xcode cranky and may explain why I had some oddities with pod install.
My app/build.gradle has compile "android.arch.lifecycle:reactivestreams:$archVer", because my activity is using LiveDataReactiveStreams.fromPublisher(). However:
The activity is not in the translatePattern (and since its code is not showing up in app/build/j2objcSrcGenMain/, I have to assume that the translatePattern is fine)
I do not have a doppl statement related to reactivestreams, because there does not appear to be a Doppl conversion of this library (nor should it be needed here)
AFAIK, nowhere else in this app am I referring to LiveDataReactiveStreams, which AFAIK is the one-and-only public class from the reactivestreams library
So, the questions:
What determines whether Doppl creates R.h and R.m files for some dependency? It's not the existence of a doppl statement, as I have doppl statements for a lot of other dependencies (RxJava, RxAndroid, Retrofit) and those do not get R.h and R.m files. It's not whether the dependency is referenced from generated code, as my repository definitely uses RxJava and Retrofit, yet there are no R files for those.
How can I figure out why Doppl generates R.h and R.m for reactivestreams?
Once I get this cleared up... do I re-run pod install, or is there some other pod command to refresh an existing pod with a new implementation?
Look into 'app/build/generated/source/r/debug' and confirm there's an R.java being created for the architecture component. It'll be under 'android/arch/lifecycle/reactivestrams'.
I think there are 2 problems here.
Problem 1
Somehow Doppl/J2objc is of the opinion that this file should be transpiled. It could be either that 'translatePattern' matches with it, or that something in the shared code is referencing it. If you can't figure out which, please post a comment and I'll try to help (or post in slack group).
Problem 2
Regardless of why that 'R.java' is being sucked into the translate step, because of how stock J2objc is configured, the code is being generated with package folders instead of creating One Big Name. That generated file should be called 'AndroidArchLifecycleReactivestramsR.h' (and AndroidArchLifecycleReactivestramsR.m). Xcode really doesn't like package folders. That's why there's a slightly custom J2ojbc being used with Doppl, so we can have files with big names instead of folders.
In cases where you intentionally use package names that match with what J2objc considers to be "system" classes, you need to provide a header mapping file to force long names. The 'androidbase' doppl library needs to add a lot of files that are in the 'android' package, which J2objc considers "system". We override those names in the mapping file.
build.gradle
https://github.com/doppllib/core-doppl/blob/master/androidbase/build.gradle#L19
mapping file
https://github.com/doppllib/core-doppl/blob/master/androidbase/src/main/java/androidbase.mappings
I screwed up.
In my dopplConfig, I have:
translatePattern {
include '**/api/**'
include '**/arch/**'
include '**/RepositoryTest.java'
}
In this case, **/arch/** not only matches my arch package, but also the arch package from the Architecture Components.
Ordinarily, this would not matter, because the Architecture Components source code is not in my project. But, R.java gets generated, due to resources, and the translatePattern includes generated source code in addition to lovingly hand-crafted source code. So, that's where my extraneous Objective-C was coming from.
Many thanks to Kevin Galligan for his assistance with this, out on the #newbiehelp Doppl Slack channel!
I'm confused with some specific behaviour and can't find some informations that help me understand the error.
The situation is as follows: I made a small pyqt4 app that at some point dumps an OrderedDict to a yaml string using pyyaml or ruamel.yaml (tried both) and writes this to a file, or reads from this file. This goes very well executing the code as normal. Now I want to distribute my app by bundling it into a single file windows exe using pyinstaller.
Now if I directly use yaml.dump() or ruamel.yaml.dump() in a method of my pyqt4 form class to generate the yaml-string and write to a file (the standard way using with open ...), I am able to bundle the app using pyinstaller and the exe runs fine.
However, if I write a small function in a sub-folder/module that uses the exact same call to pyyaml (yaml.dump(dict)) or ruamel.yaml (ruamel.yaml.dump(dict, Dumper=ruamel.yaml.RoundTripDumper)) to generate the yaml string and save to a file using with open ... and use this in my pyqt4 method (I just wanted to make things more readable), pyinstaller starts to load a bunch of modules and does a lot more stuff (according to console output), resulting in the exe file beeing almost 5 times larger plus unusable throwing a fatal error pyi_rth_pkgres returned -1 at start.
Unfortunately, I don't understand much from either console output or warnings log, viewable in this gist. Maybe I am searching for the wrong terms. I also tried renaming the module to prevent shadowing.
Now my question is, does anybody know whats going on and can explain this behaviour?
After doing a lot of trial and error, I finally got it working.
I created a new module and build the dumping functions inside it. pyinstaller and the bundled exe work flawless. However, if i do the exact same thing in the previous module, even refactoring the name, it does not work. I even copied the complete code to the old module and it doesn't work. I have no idea why and at this point I am too afraid to ask :|
I am just glad it works now.