WDL | WDL mirror

You can put your regex logic into a function and apply that to the DataFrame. This way you can avoid your manual looping pseudocode.

Code:

Would you please try the following as a starting point:

If you set include_top=False, the output of the model will be 4D (source):

pooling: Optional pooling mode for feature extraction when include_top is False. None (default) means that the output of the model will be the 4D tensor output of the last convolutional block. avg means that global average pooling will be applied to the output of the last convolutional block, and thus the output of the model will be a 2D tensor. max means that global max pooling will be applied.

You specified the number of classes but classes is only active if include_top=True:

classes: optional number of classes to classify images into, only to be specified if include_top is True, and if no weights argument is specified. Default to 1000.

Same thing for classifier_activation:

classifier_activation: A str or callable. The activation function to use on the "top" layer. Ignored unless include_top=True. Set classifier_activation=None to return the logits of the "top" layer.

tl;dr you should be fine if you set include_top=True

This is what your SynthesizerTwo.cpp file looks like after the pre-processor has included the files, with most cut out:

The concatenation was a little mixed up, this should work

You can use ^[A-Z]{3}-[0-9]{8}$

There is no direct way to randomize anything in a LogicApp.

I suppose you could come up with some pattern that could pseudorandomize a list entirely within a Logic App, but....

The more 'correct' way to handle this would be with a Function.

The Python os.system() invokes the underlying system function of the C library, which on POSIX systems is equivalent to do something like

Once you have added date_match and the match_result columns to the querys in the UNION add the following column in the first SELECT clause: