Have a question about this project? As temporary solution (for those who faced this problem) saving model data can be done through model.save_weights. And I think that means that inspect.getattr_static is doing nothing wrong here, and there is only a bug in wrapt. If all goes well, tensorflow 2.13 will work with wrapt 1.15. What does the getattribute method of ObjectProxy do? By clicking Sign up for GitHub, you agree to our terms of service and I've never seen it happen anywhere else. rev2023.7.14.43533. How and when did the plasma get replaced with water? This I guess may depend on what Bar does. Looks like the root cause here is probably a bug in inspect.getattr_static rather than typing.That does pose interesting questions for the typing_extensions backport, though. What does "rooting for my alt" mean in Stranger Things? Objects, values and types Objects are Python's abstraction for data. @pmatsibekker I guess this might work. @luxon then you can just use a class definition statement. My site-packages identified wrapt as wrapt-1.15.0-dist-info. Interesting! Oh wait setting the Environment Variable as you told actually solved the issue. python - How do I mock a function call inside a FastAPI function using pytest - Pystackcode - Web python - How do I mock a function call inside a FastAPI function using pytest January 16, 2023 I have written an API using FastAPI to upload an image to GCS. And nor does the example from StackOverflow fail either. Why can you not divide both sides of the equation, when working with exponential functions? I'm unsure if this is more tensorflow bug or python bug but it does trace to this pr and error message traces to cpython source. They froze wrapt to <1.15 in the current nightlys a few days ago. We were confusing the datetime module with the datetime.datetime class. What could be the meaning of "doctor-testing of little girls" by Steinbeck? The pure Python and C extension implementations thus did not behave the same. The behaviour of wrapt changed for the C extension when a bug in wrapt was fixed that caused suppression of exceptions when they should have been raised. We read every piece of feedback, and take your input very seriously. What is the state of the art of splitting a binary file by size? TypeError: descriptor 'date' for 'datetime.datetime' objects doesn't The answers are the same: the code tries to call an instance method from the class, such that, That said, the same problem can be caused by. Can't see any other options at this point as overriding __getattribute__() can get quite gnarly. But also, inspect.getattr_static should be resilient to this kind of edge case: it should probably never raise TypeError. Items in a Python dictionary must be called using the indexing syntax. That doesn't make it a different problem, and therefore doesn't make it a different question. TypeError: this __dict__ descriptor does not support '_DictWrapper Thanks! typing_extensions >= 4.6.0 causes pip unit test failure #60687 - GitHub But on the other hand, I think this particular TypeError pretty much always indicates a bug in the C extension type, and I don't like papering over bugs and allowing them to persist longer undetected. Basically, incorrect prior behaviour in wrapt resulted in an exception that was raised by a property wrapper during access not being raised properly in effect hiding an error in that wrapper code. Distances of Fermat point from vertices of a triangle. If you have any question you can ask below or enter what you are looking for! To learn more, see our tips on writing great answers. What happened instead was that the original value of the attribute from the wrapped object was returned, thus silently suppressing that an exception had occurred in the wrapper. What should I do? Find out all the different files from two different paths efficiently in Windows (with Python). If the arguments passed to the constructor (__init__() method) of the custom object aren't Python objects (anything other . Connect and share knowledge within a single location that is structured and easy to search. Thanks. module.save() Error 'TypeError: this __dict__ descriptor does not support '_DictWrapper' objects', How terrifying is giving a conference talk? Looks like the root cause here is probably a bug in inspect.getattr_static rather than typing. You switched accounts on another tab or window. This is from the wrapt developer in an issue on the wrapt github repo. By freezing this to wrapt==1.14.1 I was able to solve the issue. Control two leds with only one PIC output. Similarly, replacing the integers with strings also gives the same error: Similarly, using from datetime import datetime and datetime.date will result in the following error messages respectively: The issue is that datetime.datetime.date() is a method on a datetime.datetime object. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, The future of collective knowledge sharing, That error does indeed happen. Apply to top tech training programs in one click, Currently, we dont have any active offers in your region, Python TypeError: dict object is not callable Solution, Best Coding Bootcamp Scholarships and Grants, Get Your Coding Bootcamp Sponsored by Your Employer, Python TypeError: nonetype object is not callable Solution, Python TypeError: int object is not callable Solution, Python typeerror: list object is not callable Solution, Python TypeError: float object is not callable Solution, Python TypeError: module object is not callable Solution, Career Karma matches you with top tech bootcamps, Access exclusive scholarships and prep courses. One thing I noticed from exploring DictWrapper is it strangely satisfies. Get Started. If this change looks good to you. While the old unproblematic runs had 1.14.1 installed, the new failed runs installed 1.15.0 If the wrapt module has already been imported, too late to set it. This section covers the basic workflows for handling custom layers, functions, and models in Keras saving and reloading. Here is my code: The change in what hasattr() is reporting could result in it going down the wrong branch of the if statement triggering code that looks like it will not work. It is quite possible that higher layers are checking for existence and will do something else if __dict__ doesn't exist. Hi, I want to concatenate testing samples and training samples (CIFAR-10), and then using this dataset in the test. I doubt I'll be the best person to help narrow this down further, since I'm no good with C. Maybe @carljm or @JelleZijlstra would be able to help narrow this down further? Well occasionally send you account related emails. I will have to try with older tensorflow, or maybe even snapshot if that was version issue occurred with. That all said, I did know about this difference between pure Python and C extension versions for quite a while (years) and I didn't fix it for specific reasons, which when I finally did recently make change after prompting for related issue, I couldn't remember. python - Preprocess a dataset for federated learning error TypeError to your account. How "wide" are absorption and emission lines? Is this subpanel installation up to code? wrapt >= 1.11.0, <1.15 works, so tf_nightly works fine, It works for me when I download to 1.14.1 in conda using: conda install -c conda-forge wrapt=1.14.1. https://www.homeofminipups.com/purebred-toy-poodle-puppies/, Purebred Toy Poodle Puppies - home of mini pups, Find Purebred toy Papillion puppies - home of mini pups, Buy Pedigree Bichon Frise Puppies - home of mini pups, Buy Tiny Chihuahua Puppies - home of mini pups, Adopt Applehead Chihuahua Puppies - home of mini pups, https://www.homeofminipups.com/purebred-teddy-bear-pomeranian-puppies-for-sale/, Purebred Teddy bear Pomeranian Puppies for sale - home of mini pups. Have a question about this project? I will have to do some testing to try and remember what those original reasons were that caused me to hold off addressing this difference for so long and why I kept thinking it couldn't be fixed. If that's not the case, then how do I make sense of it that we shall chain up to it when wrapt uses Python, and not chaining up to it when wrapt uses C extension as the backend? Connect and share knowledge within a single location that is structured and easy to search. The change in what hasattr() is reporting could result in it going down the wrong branch of the if statement triggering code that looks like it will not work. Why was there a second saw blade in the first grail challenge? To see all available qualifiers, see our documentation. Having thought about it a bit, I think the reason I originally didn't fix it was because CPython lacks a C API equivalent of the hasattr() function available from Python code. Sign in Starting the Prompt Design Site: A New Home in our Stack Exchange Neighborhood, Temporary policy: Generative AI (e.g., ChatGPT) is banned. No. Asking for help, clarification, or responding to other answers. first_key = keys[0] TypeError: 'dict_keys' object does not support indexing. Conclusions from title-drafting and question-content assistance experiments Troubleshooting "descriptor 'date' requires a 'datetime.datetime' object but received a 'int'". "/Users/pa-loaner/Snapchat/Dev/training-platform/scratch/runtime_protocol_custom_dict.py", "/Users/pa-loaner/Snapchat/Dev/.venvs/tf212/lib/python3.9/site-packages/typing_extensions.py", "/Users/pa-loaner/.pyenv/versions/3.9.16/lib/python3.9/inspect.py", runtime checkable protocols potential raising error with custom getattribute, https://github.com/AlexWaygood/getattr-static-repro, this __dict__ descriptor does not support '_DictWrapper' objects \ since version 1.15.0, 4.6.0 and later break TensorFlow 2.12.0 with Python 3.8, typing_extensions >= 4.6.0 causes pip unit test failure. In particular it's interesting that object.__getattribute__ can raise TypeError and inspect.getattr_static can fail. Tensorflow Version. It turns out @k-w-w prepared a very simple fix from saved_model exactly aligned with your suggestion a while ago. to your account. This code produces error. Upgrade both TensorFlow and Keras to the latest versions using pip: Modify the code to use the TensorFlow-Keras API instead of the standalone Keras API. Kickstarter logistics for the Micro Python campaign, Assigning to an objects __dict__: TypeError, Re: Assigning to an objects __dict__: TypeError, https://github.com/micropython/micropython/pull/5404, #6427 unix/mpconfigport: Enable MICROPY_PY_DELATTR_SETATTR. If a wrapper for an attribute internally raises an AttributeError for some reason, the wrapper should if necessary catch the exception and deal with it, or propagate it as a different exception type if it is important that an exception still be passed back. Using tf 2.7.4 with wrapt 1.15.0 is now working. privacy statement. I am using tf2onnx in a Databricks environment to optimize tf models by converting them to onnx. While the old unproblematic runs had 1.14.1 installed, the new failed runs installed 1.15.0 The Overflow #186: Do large language models know what theyre talking about? doesn't result in a failure, indicating difference in behaviour with C extension and pure Python versions of wrapt. As this can be triggered in attribute access unsure whether it should be TypeError vs AttributeError. Using tf2onnx with the following requirements I ran into a to me unexplainable error. Issue Type. Using that try/except, raising it as AttributeError instead of TypeError seems in that context to be okay and easier than trying to have an explicit check of type(obj) == types.MappingProxyType and name == "__dict__" as I mentioned above. The original object can be retrieved by calling the reference object if the referent is still alive; if the referent is no longer alive, calling the reference object will cause None to be returned. Assigning to an objects __dict__: TypeError - MicroPython You signed in with another tab or window. by jimmo Tue Oct 20, 2020 10:18 pm, Return to General Discussion and Questions, General discussions and questions abound development of code, Instance __dict__ support is optional (disabled in many ports) and read-only, so foo.__dict__['bar'] = 23 or foo.__dict__.update({'bar': 23}) does not work. We walk through an example of this error in action so you can learn how to solve it in your code. This looks to come from library wrapt being used to make DictWrapper behave like a dict. How to fix Python TypeError: 'datetime.datetime' object is not callable? python - descriptor '__dict__' for objects doesn't apply to object Yes. The getattribute() behaviour is definitely inscrutable at times and I can't even pretend to fully understand it. Every time we access an item from the starling dictionary, we should use this syntax: Instead of using curly brackets to access items in our dictionary, we have used square brackets. descriptor '__dict__' for objects doesn't apply to object using type(), it breaks as soon as you create a grandchild class, How terrifying is giving a conference talk? I keep getting the error as shown in the title from trying to save a deep learning module with tensorflow. dict_keys' object does not support indexing: In this article we will discuss about. (Ep. The accepted answer by @juanpa.arrivillaga gives a better workaround]. Using typing_extensions 4.6 triggers error with inspect.getattr_static usage. Well occasionally send you account related emails. For me to emulate what hasattr() did in my own C code was basically going to be impossible to do and support across multiple versions because of changes of C object model over time. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. By clicking Post Your Answer, you agree to our terms of service and acknowledge that you have read and understand our privacy policy and code of conduct. Sign in Asking for help, clarification, or responding to other answers. Site design / logo 2023 Stack Exchange Inc; user contributions licensed under CC BY-SA. Dictionaries are iterable objects. Note that in the specific case that the exception raised is AttributeError it still wouldnt be raised. Comments There is a chance because of how Python works that fixing this is subtly changing how hasattr() worked in the failure case. Is this color scheme another standard for RJ45 cable? Source. And who? Click to expand! I'd be happy to hear if i could help you. This error only occurred in C extension version of wrapt so if something using wrapt had been correctly also tested against pure Python version of wrapt then it would have been detected and the code using wrapt written properly to handle the exception. Making statements based on opinion; back them up with references or personal experience. Had the same issue with the following requirements: By adding the requirement wrapt==1.14.1 I was able to solve this issue: Thanks for contributing an answer to Stack Overflow! That all said, I did know about this difference between pure Python and C extension versions for quite a while (years) and I didn't fix it for specific reasons, which when I finally did recently make change after prompting for related issue, I couldn't remember. If you have a __dict__ property which returns desired one from base class, then all is good. By clicking Post Your Answer, you agree to our terms of service and acknowledge that you have read and understand our privacy policy and code of conduct. Curly brackets, on the other hand, indicate a function call. What I dumbly only realised more recently was that hasattr() more or less is the same as invoking getattr() and if it raises AttributeError then the attribute doesn't exist. git HEAD. On one hand, the whole point of inspect.getattr_static is to check for existence of an attribute "safely." Python 3.8 TypeError: descriptor '__dict__' for 'AgnosticGridFSBucket' objects doesn't apply to a 'MotorGridFSBucket' object. At this point I believe a more appropriate fix is to change the __getattribute__() override to: The change in wrapt 1.15.0 was to fix a bug whereby exceptions were suppressed by a wrapper and not raised when doing attribute access. Ive tried changing IDEs, originally I was using VSCode but had way more errors, then I switched to PyCharm and this is the only error that persists. Already on GitHub? If it changed to AttributeError, this likely would all work without needing to change __getattribute__() to add a special check for __dict__ access on a mappingproxy. In the mean time, can you rerun your code when setting the process environment variable: Note that this environment variable should be set and exported in parent process environment (shell) before running your program. Not the answer you're looking for? What happens if a professor has funding for a PhD student but the PhD student does not come? There are actually several users having issues with this. Thus I think the code change I made is valid and fixes the wrong behaviour, but looks like stuff may be relying on the wrong behaviour or otherwise not dealing with the exceptions which are being raised like they should have been.