[Numpy-discussion] ENH: Proposal to add shift functionality to array
Hi, I hope this is the correct place to post this as this is my first (potential) contribution to numpy. I would like to implement a function numpy.shift which would work similarly to numpy.roll, with one key difference. After shifting an array by a value `shift`, the function fills the missing values with a `fill_value` For example shifting the following array by 1 along axis 1with fill_value of 0 arr = array([[0, 1, 2, 3, 4], [5, 6, 7, 8, 9]]) would result in arr = array([[0, 0, 1, 2, 3], [0, 5, 6, 7, 8]]) Kind regards, Filippo Tagliacarne ___ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
[Numpy-discussion] Newbie's naive question about debug
Hello, everyone. I'm a newcomer here and looking forward to contributing to Numpy core code in the future. However, there is an obstacle right ahead of me that I don't know how to figure out the corresponding relationship between Numpy python code and its C implementation code. In another word, I really want to know which part of Numpy core C code implements this simple numpy array addition: >>> a = np.array([1, 2, 3]) >>> b = np.array([2, 3, 4]) >>> c = a + b I have built Numpy from source in a virtual environment (via conda), and I know the addition described above might be implemented in loop.c or something like that from StackOverflow, but I want to find a general approach to solve all these similar problems like: where are array transpose implemented? where are array reshape implemented? etc. So I am seeking some tools like GDB and track python step by step. I *can *use gdb to track python, but I can't set breakpoint in Numpy because Numpy's C code isn't part of Python interpreter. So all in all, my final question is that, how can I debug and track Numpy's C code and see which part is executed? I believe there must be a method because the real developers will certainly need to debug. Thanks in advance. And I'm quite new here, so I'm not sure whether I should ask this kind of primitive and naive question here, since the previous discussions seem to be advanced and I can't understand most of them. ___ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
[Numpy-discussion] Re: Newbie's naive question about debug
On Wed, Sep 7, 2022, at 07:55, 腾刘 wrote: > Hello, everyone. I'm a newcomer here and looking forward to > contributing to Numpy core code in the future. > > However, there is an obstacle right ahead of me that I don't know how > to figure out the corresponding relationship between Numpy python code > and its C implementation code. In another word, I really want to know > which part of Numpy core C code implements this simple numpy array > addition: > a = np.array([1, 2, 3]) b = np.array([2, 3, 4]) c = a + b > > I have built Numpy from source in a virtual environment (via conda), > and I know the addition described above might be implemented in loop.c > or something like that from StackOverflow, but I want to find a general > approach to solve all these similar problems like: where are array > transpose implemented? where are array reshape implemented? etc. So I > am seeking some tools like GDB and track python step by step. I *can > *use gdb to track python, but I can't set breakpoint in Numpy because > Numpy's C code isn't part of Python interpreter. > > So all in all, my final question is that, how can I debug and track > Numpy's C code and see which part is executed? I believe there must be > a method because the real developers will certainly need to debug. Hi, As a first pointer, you might find one of the first videos on the NumPy youtube channel (from a NumPy Newcomers’ Hour panel discussion) useful, in case you haven't seen it yet: "Find your way in the NumPy codebase :: Melissa Mendonca, Sebastian Berg, Tyler Reddy, Matti Picus" https://www.youtube.com/watch?v=mTWpBf1zewc . Others in the channel might also be relevant. András > > Thanks in advance. And I'm quite new here, so I'm not sure whether I > should ask this kind of primitive and naive question here, since the > previous discussions seem to be advanced and I can't understand most of > them. > ___ > NumPy-Discussion mailing list -- numpy-discussion@python.org > To unsubscribe send an email to numpy-discussion-le...@python.org > https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ > Member address: deak.and...@gmail.com ___ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
[Numpy-discussion] Re: Newbie's naive question about debug
Thanks so much! I will check these videos thoroughly. By the way, another stupid question: does your reply means that my mail has been accepted by the moderator and got permission into the mailing-list (which means that everyone in the mailing-list will see this email) ? Andras Deak 于2022年9月7日周三 21:09写道： > On Wed, Sep 7, 2022, at 07:55, 腾刘 wrote: > > Hello, everyone. I'm a newcomer here and looking forward to > > contributing to Numpy core code in the future. > > > > However, there is an obstacle right ahead of me that I don't know how > > to figure out the corresponding relationship between Numpy python code > > and its C implementation code. In another word, I really want to know > > which part of Numpy core C code implements this simple numpy array > > addition: > > > a = np.array([1, 2, 3]) > b = np.array([2, 3, 4]) > c = a + b > > > > I have built Numpy from source in a virtual environment (via conda), > > and I know the addition described above might be implemented in loop.c > > or something like that from StackOverflow, but I want to find a general > > approach to solve all these similar problems like: where are array > > transpose implemented? where are array reshape implemented? etc. So I > > am seeking some tools like GDB and track python step by step. I *can > > *use gdb to track python, but I can't set breakpoint in Numpy because > > Numpy's C code isn't part of Python interpreter. > > > > So all in all, my final question is that, how can I debug and track > > Numpy's C code and see which part is executed? I believe there must be > > a method because the real developers will certainly need to debug. > > Hi, > > As a first pointer, you might find one of the first videos on the NumPy > youtube channel (from a NumPy Newcomers’ Hour panel discussion) useful, in > case you haven't seen it yet: "Find your way in the NumPy codebase :: > Melissa Mendonca, Sebastian Berg, Tyler Reddy, Matti Picus" > https://www.youtube.com/watch?v=mTWpBf1zewc . Others in the channel might > also be relevant. > > András > > > > > > > Thanks in advance. And I'm quite new here, so I'm not sure whether I > > should ask this kind of primitive and naive question here, since the > > previous discussions seem to be advanced and I can't understand most of > > them. > > ___ > > NumPy-Discussion mailing list -- numpy-discussion@python.org > > To unsubscribe send an email to numpy-discussion-le...@python.org > > https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ > > Member address: deak.and...@gmail.com > ___ > NumPy-Discussion mailing list -- numpy-discussion@python.org > To unsubscribe send an email to numpy-discussion-le...@python.org > https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ > Member address: 27rabbi...@gmail.com > ___ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
[Numpy-discussion] Re: Newbie's naive question about debug
On Thu, Sep 8, 2022, at 03:39, 腾刘 wrote: > Thanks so much! I will check these videos thoroughly. By the way, > another stupid question: does your reply means that my mail has been > accepted by the moderator and got permission into the mailing-list > (which means that everyone in the mailing-list will see this email) ? That is correct. When in doubt, check the public archive: https://mail.python.org/archives/list/numpy-discussion@python.org/latest András > > > Andras Deak 于2022年9月7日周三 21:09写道： >> On Wed, Sep 7, 2022, at 07:55, 腾刘 wrote: >> > Hello, everyone. I'm a newcomer here and looking forward to >> > contributing to Numpy core code in the future. >> > >> > However, there is an obstacle right ahead of me that I don't know how >> > to figure out the corresponding relationship between Numpy python code >> > and its C implementation code. In another word, I really want to know >> > which part of Numpy core C code implements this simple numpy array >> > addition: >> > >> a = np.array([1, 2, 3]) >> b = np.array([2, 3, 4]) >> c = a + b >> > >> > I have built Numpy from source in a virtual environment (via conda), >> > and I know the addition described above might be implemented in loop.c >> > or something like that from StackOverflow, but I want to find a general >> > approach to solve all these similar problems like: where are array >> > transpose implemented? where are array reshape implemented? etc. So I >> > am seeking some tools like GDB and track python step by step. I *can >> > *use gdb to track python, but I can't set breakpoint in Numpy because >> > Numpy's C code isn't part of Python interpreter. >> > >> > So all in all, my final question is that, how can I debug and track >> > Numpy's C code and see which part is executed? I believe there must be >> > a method because the real developers will certainly need to debug. >> >> Hi, >> >> As a first pointer, you might find one of the first videos on the NumPy >> youtube channel (from a NumPy Newcomers’ Hour panel discussion) useful, in >> case you haven't seen it yet: "Find your way in the NumPy codebase :: >> Melissa Mendonca, Sebastian Berg, Tyler Reddy, Matti Picus" >> https://www.youtube.com/watch?v=mTWpBf1zewc . Others in the channel might >> also be relevant. >> >> András >> >> >> >> > >> > Thanks in advance. And I'm quite new here, so I'm not sure whether I >> > should ask this kind of primitive and naive question here, since the >> > previous discussions seem to be advanced and I can't understand most of >> > them. >> > ___ >> > NumPy-Discussion mailing list -- numpy-discussion@python.org >> > To unsubscribe send an email to numpy-discussion-le...@python.org >> > https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ >> > Member address: deak.and...@gmail.com >> ___ >> NumPy-Discussion mailing list -- numpy-discussion@python.org >> To unsubscribe send an email to numpy-discussion-le...@python.org >> https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ >> Member address: 27rabbi...@gmail.com > ___ > NumPy-Discussion mailing list -- numpy-discussion@python.org > To unsubscribe send an email to numpy-discussion-le...@python.org > https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ > Member address: deak.and...@gmail.com ___ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
