I want to log using python’s logging module to a file on a network drive. My problem is that the logging fails at some random point giving me this error: I am on a virtual machine with Windows 10 (Version 1909) and I am using Python 3.8.3 and logging 0.5.1.2. The script runs in an virtual environment on a network
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I’d like to test inference on a TensorFlow Lite model I’ve loaded into an Android project. I have some inputs generated in a Python environment I’d like to save to a file, load into my Android app and use for TFLite inference. My inputs are somewhat large, one example is: <class ‘numpy.ndarray’>, dtype: float32, shape: (1, 596, 80) I need
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I would like to make a sparse matrix from the dense one, such that in each row or column only n-largest elements are preserved. I do the following: This approach works as intended but seems to be not the most efficient, and the robust one. What would you recommend to do it an better way? The example of usage: Answer
How to access matrix table value in python
How can we access the value of a matrix in Python, if I pass its column and row name as input in Python code. For Example – If I input A as column and B as row, then from the matrix table, I should get its A and B map value. So far I tried this code, but I was
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how can I refactor or friendly programmer view? [closed]
Closed. This question is opinion-based. It is not currently accepting answers. Want to improve this question? Update the question so it can be answered with facts and citations by editing this post. Closed 2 years ago. Improve this question I want to convert this into a more readable for other programmers in the team, but I am not sure how
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I have the following two dataframes. Call this df1 and call this one df2 I want to know how I can calculate the distance between place and all cities listed. So it should look something like this. I’m reading through this particular post and attempting to adapt:Pandas Latitude-Longitude to distance between successive rows Answer The following code worked for me:
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So, I was able to get lucky and get my hands on an RTX 3070. Unfortunately, this isn’t working out as well as I would have liked for me when it comes to tensorflow. I’ve spent some time on google and from what I can tell, tf-nightly-gpu is the solution to my issues here. I’ve installed Cuda 11/10, cuDNN, and
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Error lambda missing 1 required positional argument when using with QPushButton
This is entire my code: When I run this code, I get a window like this: Below the buttons, there is a QLabel, and I want when I click on any button, the button’s label will refer to this QLabel, but I get a bunch of confusing errors in the terminal. What’s wrong with my code, help me, thanks. Answer