So, I've got a file I've been working on in branch A, and I'm just about ready to commit it. However, looking at the diff, I think it's better to put it into two separate commits (Well, in this case, two separate branches, maybe). I've used git add --patch before to stage separate hunks, so I thought I could use this. The problem is, I need to split one of my hunks. Running git add --patch SdA.py and using e to edit the problem hunk...
# Manual hunk edit mode -- see bottom for a quick guide @@ -50,13 +50,74 @@ import PIL.Image as im import constant + +def exp_range(min=None, max=None, step=None): + """ + Generate an exponentially increasing value scaled and offset such + that it covers the range (min, max]. Behaviour is similar to + exp(x), scaled such that the final value generated is equal to + 'max'. 'step' defines the granularity of the exponential + function. The default value is 5, corresponding to a step-size + of tau. + + :type min: float + :param min: minimum value of range (offset) + + :type max: float + :param max: Maximum (final) value of range + + :type step: int + :param step: Number of incremental steps within the range + (min, max] + + """ + if min is None: + raise StopIteration + + # One input argument (same as range(10)) + if min is not None and max is None and step is None: + step = min + min = 0. + max = 1. + elif step is None: + step = 5 + + for i in xrange(step): + exp_rate = np.exp(i - (step-1)) + yield min + (max - min) * exp_rate + raise StopIteration + + def norm(input): + """ + Return the norm of a vector or row-wise norm of a matrix + + :type input: theano.tensor.TensorType + :param input: Theano array or matrix to take the norm of. + + """ return T.sqrt((input * input).sum(axis=0)) def normalize(vector, scale=1.0, offset=0.5): + """ + Normalize (Zero and scale) a vector such that it's peak to peak + value is equal to 'scale', and it is centered about 'offset'. + + :type vector: numpy.ndarray + :param vector: Vector to normalize to the given parameters. + + :type scale: float + :param scale: Peak-to-peak range to stretch or shrink the vector's + current peak-to-peak range to. + + :type offset: float + :param offset: Value at which to center the peak-to-peak range at. + + """ return (vector - vector.min()) * scale / vector.ptp() + That's okay. There's a mini-guide on the bottom. I get that. So, we want to put the new function in this commit, and the documentation for the other functions into another commit. According to the mini-doc: # To remove '+' lines, delete them.
# Manual hunk edit mode -- see bottom for a quick guide @@ -50,13 +50,74 @@ import PIL.Image as im import constant + +def exp_range(min=None, max=None, step=None): + """ + Generate an exponentially increasing value scaled and offset such + that it covers the range (min, max]. Behaviour is similar to + exp(x), scaled such that the final value generated is equal to + 'max'. 'step' defines the granularity of the exponential + function. The default value is 5, corresponding to a step-size + of tau. + + :type min: float + :param min: minimum value of range (offset) + + :type max: float + :param max: Maximum (final) value of range + + :type step: int + :param step: Number of incremental steps within the range + (min, max] + + """ + if min is None: + raise StopIteration + + # One input argument (same as range(10)) + if min is not None and max is None and step is None: + step = min + min = 0. + max = 1. + elif step is None: + step = 5 + + for i in xrange(step): + exp_rate = np.exp(i - (step-1)) + yield min + (max - min) * exp_rate + raise StopIteration + + def norm(input): return T.sqrt((input * input).sum(axis=0)) def normalize(vector, scale=1.0, offset=0.5): return (vector - vector.min()) * scale / vector.ptp() That looks good. Let's add that puppy...
error: patch failed: SdA.py:50 error: SdA.py: patch does not apply Your edited hunk does not apply. Edit again (saying "no" discards!) [y/n]? Mmkay... git add --interactive "Your edited hunk does not apply" and How to read the output from git diff? explain that I have to update the affected line numbers. To do this, now, I can manually count and say "Hmm, I've removed 1, 2, 3... 23 lines. I was editing 74 lines previously, now I'm editing... hmm... wish I had a calculator... .... 51 lines" ('whew, I'm sweaty')
This seems like an overcomplicated method. I still think patch is the right approach, but I must be doing something wrong if I need to manually update the number of affected lines in the to-file. Anyone have any advice on how to do this more easily and efficiently?