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init_session(auto_symbols=True) and init_session(auto_int_to_Integer=True) do not work #2839
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@takluyver could you point me to the docs for the new ast stuff? Also, do you remember if I or you ever figured out a working example for undefined names. I seem to remember that one was nontrivial to get right? |
Sure, the docs are here: http://ipython.org/ipython-doc/stable/config/inputtransforms.html#ast-transformations I don't think we ever wrote an actual example. I think it's fairly straightforward if you don't need to support names first appearing within function definitions:
Supporting variables in function definitions is a bit trickier, because you presumably don't want to leak those definitions out to the global scope. But it should be feasible to keep a stack of references to function definitions, and insert the |
I think it's fine to not support functions. I was worried about names that are defined within the block, but I just realized that this doesn't matter. It will just end up being a redefinition instead. Creating symbols is cheap and side-effect free, so there's no issues there. Why |
Yep, I had the same worry and the same realisation. It should be ctx=Load(), I evidently had a brainfart. ;-) |
Copying this over from #2921, and then closing that issue (duplicate): Quote: # XXX: Something like this might be used, but it only works on single line
# inputs. See
# http://mail.scipy.org/pipermail/ipython-user/2012-August/010846.html and
# https://github.com/ipython/ipython/issues/1491. So instead we are forced to
# just monkey-patch run_cell until IPython builds a better API.
class IntTransformer(object):
"""
IPython command line transformer that recognizes and replaces int
literals.
Based on
https://bitbucket.org/birkenfeld/ipython-physics/src/71b2d850da00/physics.py.
"""
priority = 99
enabled = True
def transform(self, line, continue_prompt):
import re
from tokenize import TokenError
leading_space = re.compile(' *')
spaces = re.match(leading_space, line).span()[1]
try:
return ' '*spaces + int_to_Integer(line)
except TokenError:
return line
int_transformer = IntTransformer()
def enable_automatic_int_sympification(app):
"""
Allow IPython to automatically convert integer literals to Integer.
This lets things like 1/2 be executed as (essentially) Rational(1, 2).
"""
app.shell.prefilter_manager.register_transformer(int_transformer) " |
As described above, we did build a better API - AST transformations. There's an example of how it works in the tests: |
close sympy/sympy#3112 (MrvAsympt was added in diofant#6) close sympy/sympy#9173 (test was added in 5a510ac) close sympy/sympy#9808 (fixed in 09e539b) close sympy/sympy#9341 (fixed in af98a00) close sympy/sympy#9908 (fixed in cc3fa8d) close sympy/sympy#6171 (test added in d278031) close sympy/sympy#9276 (diagnose_imports.py removed in ab8c535) close sympy/sympy#10201 (fixed in 0d0fc5f) close sympy/sympy#9057 (test was added in 8290a0c) close sympy/sympy#11159 (test was added in ffb76cb) close sympy/sympy#2839 (new AST transformers are used, see diofant#278 and diofant#167) close sympy/sympy#11081 (see ed01e16 and bb92329) close sympy/sympy#10974 (see 73fc425) close sympy/sympy#10806 (test in 539929a) close sympy/sympy#10801 (test in 2fe3da5) close sympy/sympy#9549 (test in 88bdefa) close sympy/sympy#4231 (test was added in fb411d5) close sympy/sympy#8634 (see 2fcbb58) close sympy/sympy#8481 (see 1ef20d3) close sympy/sympy#9956 (fixed in a34735f) close sympy/sympy#9747 (see e117c60) close sympy/sympy#7853 (see 3e4fbed) close sympy/sympy#9634 (see 2be03f5) close sympy/sympy#8500 (fixed in diofant#104 and finally in diofant#316) close sympy/sympy#9192 (see 9bf622f) close sympy/sympy#7130 (see e068fa3) close sympy/sympy#8514 (see b2d543b) close sympy/sympy#9334 (see 90de625) close sympy/sympy#8229 (see 9755b89) close sympy/sympy#8061 (see 7054f06) close sympy/sympy#7872 (tested in diofant#6) close sympy/sympy#3496 (tested in test_log_symbolic) close sympy/sympy#2929 (see da7db7a) close sympy/sympy#8203 (oo is not a real, see diofant#36) close sympy/sympy#7649 (0 is imaginary since diofant#8) close sympy/sympy#7256 (fixed in c0a4549) close sympy/sympy#6783 (see cb28d63) close sympy/sympy#5662 (is_integer issue fixed in 6bfa9f8, there is no is_bounded anymore) close sympy/sympy#5295 (fixed with diofant#354) close sympy/sympy#4856 (we now have flake/pep tests) close sympy/sympy#4555 (flake8 enabled after diofant#214) close sympy/sympy#5773 (cmp_to_key removed after diofant#164 and c9acbf0) close sympy/sympy#5484 (see above) Added regression tests: from https://groups.google.com/forum/#!topic/sympy/LkTMQKC_BOw fixes sympy/sympy#8825 (probably via diofant#209) fixes sympy/sympy#8635 fixes sympy/sympy#8157 fixes sympy/sympy#7872 fixes sympy/sympy#7599 fixes sympy/sympy#6179 fixes sympy/sympy#5415 fixes sympy/sympy#2865 fixes sympy/sympy#5907 fixes sympy/sympy#11722 Closes diofant#347
close sympy/sympy#3112 (MrvAsympt was added in diofant#6) close sympy/sympy#9173 (test was added in 5a510ac) close sympy/sympy#9808 (fixed in 09e539b) close sympy/sympy#9341 (fixed in af98a00) close sympy/sympy#9908 (fixed in cc3fa8d) close sympy/sympy#6171 (test added in d278031) close sympy/sympy#9276 (diagnose_imports.py removed in ab8c535) close sympy/sympy#10201 (fixed in 0d0fc5f) close sympy/sympy#9057 (test was added in 8290a0c) close sympy/sympy#11159 (test was added in ffb76cb) close sympy/sympy#2839 (new AST transformers are used, see diofant#278 and diofant#167) close sympy/sympy#11081 (see ed01e16 and bb92329) close sympy/sympy#10974 (see 73fc425) close sympy/sympy#10806 (test in 539929a) close sympy/sympy#10801 (test in 2fe3da5) close sympy/sympy#9549 (test in 88bdefa) close sympy/sympy#4231 (test was added in fb411d5) close sympy/sympy#8634 (see 2fcbb58) close sympy/sympy#8481 (see 1ef20d3) close sympy/sympy#9956 (fixed in a34735f) close sympy/sympy#9747 (see e117c60) close sympy/sympy#7853 (see 3e4fbed) close sympy/sympy#9634 (see 2be03f5) close sympy/sympy#8500 (fixed in diofant#104 and finally in diofant#316) close sympy/sympy#9192 (see 9bf622f) close sympy/sympy#7130 (see e068fa3) close sympy/sympy#8514 (see b2d543b) close sympy/sympy#9334 (see 90de625) close sympy/sympy#8229 (see 9755b89) close sympy/sympy#8061 (see 7054f06) close sympy/sympy#7872 (tested in diofant#6) close sympy/sympy#3496 (tested in test_log_symbolic) close sympy/sympy#2929 (see da7db7a) close sympy/sympy#8203 (oo is not a real, see diofant#36) close sympy/sympy#7649 (0 is imaginary since diofant#8) close sympy/sympy#7256 (fixed in c0a4549) close sympy/sympy#6783 (see cb28d63) close sympy/sympy#5662 (is_integer issue fixed in 6bfa9f8, there is no is_bounded anymore) close sympy/sympy#5295 (fixed with diofant#354) close sympy/sympy#4856 (we now have flake/pep tests) close sympy/sympy#4555 (flake8 enabled after diofant#214) close sympy/sympy#5773 (cmp_to_key removed after diofant#164 and c9acbf0) close sympy/sympy#5484 (see above) Added regression tests: from https://groups.google.com/forum/#!topic/sympy/LkTMQKC_BOw fixes sympy/sympy#8825 (probably via diofant#209) fixes sympy/sympy#8635 fixes sympy/sympy#8157 fixes sympy/sympy#7872 fixes sympy/sympy#7599 fixes sympy/sympy#6179 fixes sympy/sympy#5415 fixes sympy/sympy#2865 fixes sympy/sympy#5907 fixes sympy/sympy#11722 Closes diofant#347
I have found a workaround for this. The problem is that when in an already running IPython session,
|
@mhlr so I guess the |
@asmeurer I do not know if there are downsides. I have not observed any, but this is the first time I have really looked inside sympy source and I have only started using this method. I am happy to make a patch if you think this is good. |
Yes, please send a patch. |
@asmeurer Ok. So I will just remove the if statement. Also do you think wrapping the initialization in an IPython magic would fix the problem with needing separate evaluations? |
This is to fix sympy#2839 since `init_ipython_session` is responsible for enabling the options.
This is to fix sympy#2839 since `init_ipython_session` is responsible for enabling the options.
I don't know. Having a magic command sounds useful either way, though. |
isympy -I
works.We need to convert these to use the new IPython ast machinery.
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