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    zaasmiZ
    @Engrnaveed-Saeed said in Incompatible type in filter using a callable: “I’m encountering an issue where I get an ‘Incompatible type’ error when using a callable with filter(). The callable seems to work fine on its own, but when used within filter(), it throws this error. What could be causing this issue, and how can I resolve it?” The “Incompatible type” error in filter() usually occurs when the callable you’re using doesn’t return a boolean value. The filter() function expects the callable to return True or False for each element, indicating whether that element should be included in the result. Here are a few potential causes and solutions: Callable Not Returning a Boolean Ensure that the callable you’re passing to filter() returns a boolean value (True or False). For example: # Incorrect: The function returns the value itself, not a boolean def my_callable(x): return x # Correct: The function returns a boolean condition def my_callable(x): return x > 0 result = filter(my_callable, [-2, -1, 0, 1, 2]) print(list(result)) # Output: [1, 2] Incompatible Return Type If your callable returns a non-boolean value (e.g., None, a string, or any other type), filter() will treat all non-None values as True but may still raise type errors if the value is not expected. For example: # Incorrect: Returning a string (non-boolean) def my_callable(x): return "valid" if x > 0 else "invalid" # Correct: Return boolean def my_callable(x): return x > 0 Using Lambda or Other Callables Ensure that if you’re using a lambda or other callable types, they also return booleans: # Correct usage with lambda result = filter(lambda x: x % 2 == 0, [1, 2, 3, 4, 5]) print(list(result)) # Output: [2, 4] Conclusion To resolve the “Incompatible type” error in filter(), make sure your callable function returns a boolean (True or False) based on the condition that determines whether each item should be included in the result.
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    zaasmiZ
    Demo: data.txt: line1 line2 line3 line4 line5 line6 line7 line8 line9 line10 line11 line12 line13 Code: from itertools import islice with open('data.txt') as f: for line in islice(f, 3, None, 3): print line, # Python3: print(line, end='') Produces: line4 line7 line10 line13 Reff
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    zaasmiZ
    @wafa-sehar said in How do you fix “runtimeError: package fails to pass a sanity check” for numpy and pandas?: can anyone guide me please. RuntimeError: The current Numpy installation ('...\\venv\\lib\\site-packages\\numpy\\__init__.py') fails to pass a sanity check due to a bug in the windows runtime. We have also tried multiple versions of Python (3.8.6 and 3.9.0) and numpy and pandas. I am currently using PyCharm to do all this. This error occurs when using python3.9 and numpy1.19.4 So uninstalling numpy1.19.4 and installing 1.19.3 will work.
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