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Reset the interactive namespace __warningregistry__ before executing code...
Reset the interactive namespace __warningregistry__ before executing code Fixes #6611. Idea: Right now, people often don't see important warnings when running code in IPython, because (to a first approximation) any given warning will only issue once per session. Blink and you'll miss it! This is a very common contributor to confused emails to numpy-discussion. E.g.: In [5]: 1 / my_array_with_random_contents /home/njs/.user-python2.7-64bit-3/bin/ipython:1: RuntimeWarning: divide by zero encountered in divide #!/home/njs/.user-python2.7-64bit-3/bin/python Out[5]: array([ 1.77073316, -2.29765021, -2.01800811, ..., 1.13871243, -1.08302964, -8.6185091 ]) Oo, right, guess I gotta be careful of those zeros -- thanks, numpy, for giving me that warning! A few days later: In [592]: 1 / some_other_array Out[592]: array([ 3.07735763, 0.50769289, 0.83984078, ..., -0.67563917, -0.85736257, -1.36511271]) Oops, it turns out that this array had a zero in it too, and that's going to bite me later. But no warning this time! The effect of this commit is to make it so that warnings triggered by the code in cell 5 do *not* suppress warnings triggered by the code in cell 592. Note that this only applies to warnings triggered *directly* by code entered interactively -- if somepkg.foo() calls anotherpkg.bad_func() which issues a warning, then this warning will still only be displayed once, even if multiple cells call somepkg.foo(). But if cell 5 and cell 592 both call anotherpkg.bad_func() directly, then both will get warnings. (Important exception: if foo() is defined *interactively*, and calls anotherpkg.bad_func(), then every cell that calls foo() will display the warning again. This is unavoidable without fixes to CPython upstream.) Explanation: Python's warning system has some weird quirks. By default, it tries to suppress duplicate warnings, where "duplicate" means the same warning message triggered twice by the same line of code. This requires determining which line of code is responsible for triggering a warning, and this is controlled by the stacklevel= argument to warnings.warn. Basically, though, the idea is that if foo() calls bar() which calls baz() which calls some_deprecated_api(), then baz() will get counted as being "responsible", and the warning system will make a note that the usage of some_deprecated_api() inside baz() has already been warned about and doesn't need to be warned about again. So far so good. To accomplish this, obviously, there has to be a record of somewhere which line this was. You might think that this would be done by recording the filename:linenumber pair in a dict inside the warnings module, or something like that. You would be wrong. What actually happens is that the warnings module will use stack introspection to reach into baz()'s execution environment, create a global (module-level) variable there named __warningregistry__, and then, inside this dictionary, record just the line number. Basically, it assumes that any given module contains only one line 1, only one line 2, etc., so storing the filename is irrelevant. Obviously for interactive code this is totally wrong -- all cells share the same execution environment and global namespace, and they all contain a new line 1. Currently the warnings module treats these as if they were all the same line. In fact they are not the same line; once we have executed a given chunk of code, we will never see those particular lines again. As soon as a given chunk of code finishes executing, its line number labels become meaningless, and the corresponding warning registry entries become meaningless as well. Therefore, with this patch we delete the __warningregistry__ each time we execute a new block of code.

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convert.py
90 lines | 2.6 KiB | text/x-python | PythonLexer
"""Code for converting notebooks to and from the v2 format."""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
from .nbbase import (
new_code_cell, new_text_cell, new_worksheet, new_notebook, new_output,
nbformat, nbformat_minor
)
from IPython.nbformat import v2
def _unbytes(obj):
"""There should be no bytes objects in a notebook
v2 stores png/jpeg as b64 ascii bytes
"""
if isinstance(obj, dict):
for k,v in obj.items():
obj[k] = _unbytes(v)
elif isinstance(obj, list):
for i,v in enumerate(obj):
obj[i] = _unbytes(v)
elif isinstance(obj, bytes):
# only valid bytes are b64-encoded ascii
obj = obj.decode('ascii')
return obj
def upgrade(nb, from_version=2, from_minor=0):
"""Convert a notebook to v3.
Parameters
----------
nb : NotebookNode
The Python representation of the notebook to convert.
from_version : int
The original version of the notebook to convert.
from_minor : int
The original minor version of the notebook to convert (only relevant for v >= 3).
"""
if from_version == 2:
# Mark the original nbformat so consumers know it has been converted.
nb.nbformat = nbformat
nb.nbformat_minor = nbformat_minor
nb.orig_nbformat = 2
nb = _unbytes(nb)
for ws in nb['worksheets']:
for cell in ws['cells']:
cell.setdefault('metadata', {})
return nb
elif from_version == 3:
if from_minor != nbformat_minor:
nb.orig_nbformat_minor = from_minor
nb.nbformat_minor = nbformat_minor
return nb
else:
raise ValueError('Cannot convert a notebook directly from v%s to v3. ' \
'Try using the IPython.nbformat.convert module.' % from_version)
def heading_to_md(cell):
"""turn heading cell into corresponding markdown"""
cell.cell_type = "markdown"
level = cell.pop('level', 1)
cell.source = '#'*level + ' ' + cell.source
def raw_to_md(cell):
"""let raw passthrough as markdown"""
cell.cell_type = "markdown"
def downgrade(nb):
"""Convert a v3 notebook to v2.
Parameters
----------
nb : NotebookNode
The Python representation of the notebook to convert.
"""
if nb.nbformat != 3:
return nb
nb.nbformat = 2
for ws in nb.worksheets:
for cell in ws.cells:
if cell.cell_type == 'heading':
heading_to_md(cell)
elif cell.cell_type == 'raw':
raw_to_md(cell)
return nb