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[pep8] Fix most lint automatically with autopep8

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Here's the command I used to invoke autopep8 (in parallel!):

    git ls-files | grep '\.py$' | xargs -n1 -P`nproc` autopep8 -i

Several rules are ignored in setup.cfg. The goal is to let autopep8
handle everything which it can handle safely, and to disable any rules
which are tricky or controversial to address. We may want to come back
and re-enable some of these rules later, but I'm trying to make this
patch as safe as possible.

Also configures flake8 to match pep8's behavior.

Also configures TravisCI to check the whole project for lint.
This commit is contained in:
Luke Yeager
2017-01-27 12:52:21 -08:00
committed by Adam Paszke
parent f1d0d73ed7
commit e7c1e6a8e3
286 changed files with 3342 additions and 3024 deletions
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52
test/error_messages/storage.py
View File

@ -1,5 +1,6 @@
import torch
def check_error(desc, fn, *required_substrings):
try:
fn()
@ -16,54 +17,55 @@ def check_error(desc, fn, *required_substrings):
assert False, "given function ({}) didn't raise an error".format(desc)
check_error(
'Wrong argument types',
lambda: torch.FloatStorage(object()),
'object')
'Wrong argument types',
lambda: torch.FloatStorage(object()),
'object')
check_error('Unknown keyword argument',
lambda: torch.FloatStorage(content=1234.),
'keyword')
lambda: torch.FloatStorage(content=1234.),
'keyword')
check_error('Invalid types inside a sequence',
lambda: torch.FloatStorage(['a', 'b']),
'list', 'str')
lambda: torch.FloatStorage(['a', 'b']),
'list', 'str')
check_error('Invalid size type',
lambda: torch.FloatStorage(1.5),
'float')
lambda: torch.FloatStorage(1.5),
'float')
check_error('Invalid offset',
lambda: torch.FloatStorage(torch.FloatStorage(2), 4),
'2', '4')
lambda: torch.FloatStorage(torch.FloatStorage(2), 4),
'2', '4')
check_error('Negative offset',
lambda: torch.FloatStorage(torch.FloatStorage(2), -1),
'2', '-1')
lambda: torch.FloatStorage(torch.FloatStorage(2), -1),
'2', '-1')
check_error('Invalid size',
lambda: torch.FloatStorage(torch.FloatStorage(3), 1, 5),
'2', '1', '5')
lambda: torch.FloatStorage(torch.FloatStorage(3), 1, 5),
'2', '1', '5')
check_error('Negative size',
lambda: torch.FloatStorage(torch.FloatStorage(3), 1, -5),
'2', '1', '-5')
lambda: torch.FloatStorage(torch.FloatStorage(3), 1, -5),
'2', '1', '-5')
check_error('Invalid index type',
lambda: torch.FloatStorage(10)['first item'],
'str')
lambda: torch.FloatStorage(10)['first item'],
'str')
def assign():
torch.FloatStorage(10)[1:-1] = '1'
check_error('Invalid value type',
assign,
'str')
assign,
'str')
check_error('resize_ with invalid type',
lambda: torch.FloatStorage(10).resize_(1.5),
'float')
lambda: torch.FloatStorage(10).resize_(1.5),
'float')
check_error('fill_ with invalid type',
lambda: torch.IntStorage(10).fill_('asdf'),
'str')
lambda: torch.IntStorage(10).fill_('asdf'),
'str')
# TODO: frombuffer