Added support for support for Python 3.6 CALL_FUNCTION_KW

This commit is contained in:
Daniel Bradburn
2017-05-10 21:49:42 +02:00
parent 8d084ed358
commit ca1679e636
6 changed files with 128 additions and 46 deletions

View File

@@ -0,0 +1,6 @@
source ../.venv.3.6/bin/activate
py.test -k test_CALL_FUNCTION_KW
source ../.venv.3.5/bin/activate
py.test -k test_CALL_FUNCTION_KW
source ../.venv.2.7/bin/activate
py.test -k test_CALL_FUNCTION_KW

View File

@@ -1,20 +1,24 @@
# std
import string
# 3rd party
from hypothesis import given, assume, strategies as st
from hypothesis import given, assume, example, settings, strategies as st
import pytest
# uncompyle
from validate import validate_uncompyle
from test_fstring import expressions
alpha = st.sampled_from(string.ascii_lowercase)
numbers = st.sampled_from(string.digits)
alphanum = st.sampled_from(string.ascii_lowercase + string.digits)
expressions = st.sampled_from([x for x in string.ascii_lowercase + string.digits] + ['x+1'])
@st.composite
def function_calls(draw):
def function_calls(draw,
min_keyword_args=0, max_keyword_args=5,
min_positional_args=0, max_positional_args=5,
min_star_args=0, max_star_args=1,
min_double_star_args=0, max_double_star_args=1):
"""
Strategy factory for generating function calls.
@@ -22,21 +26,49 @@ def function_calls(draw):
:return: The function call text.
"""
list1 = st.lists(alpha, min_size=0, max_size=1)
list3 = st.lists(alpha, min_size=0, max_size=3)
st_positional_args = st.lists(
alpha,
min_size=min_positional_args,
max_size=max_positional_args
)
st_keyword_args = st.lists(
alpha,
min_size=min_keyword_args,
max_size=max_keyword_args
)
st_star_args = st.lists(
alpha,
min_size=min_star_args,
max_size=max_star_args
)
st_double_star_args = st.lists(
alpha,
min_size=min_double_star_args,
max_size=max_double_star_args
)
positional_args = draw(list3)
named_args = [x + '=0' for x in draw(list3)]
star_args = ['*' + x for x in draw(list1)]
double_star_args = ['**' + x for x in draw(list1)]
positional_args = draw(st_positional_args)
keyword_args = draw(st_keyword_args)
st_values = st.lists(
expressions(),
min_size=len(keyword_args),
max_size=len(keyword_args)
)
keyword_args = [
x + '=' + e
for x, e in
zip(keyword_args, draw(st_values))
]
star_args = ['*' + x for x in draw(st_star_args)]
double_star_args = ['**' + x for x in draw(st_double_star_args)]
arguments = positional_args + named_args + star_args + double_star_args
arguments = positional_args + keyword_args + star_args + double_star_args
draw(st.randoms()).shuffle(arguments)
arguments = ','.join(arguments)
function_call = 'fn({arguments})'.format(arguments=arguments)
try:
# TODO: Figure out the exact rules for ordering of positional, named,
# TODO: Figure out the exact rules for ordering of positional, keyword,
# star args, double star args and in which versions the various
# types of arguments are supported so we don't need to check that the
# expression compiles like this.
@@ -46,9 +78,56 @@ def function_calls(draw):
return function_call
@pytest.mark.xfail()
def test_CALL_FUNCTION():
validate_uncompyle("fn(w,m,f)")
def test_function_no_args():
validate_uncompyle("fn()")
def isolated_function_calls(which):
"""
Returns a strategy for generating function calls, but isolated to
particular types of arguments, for example only positional arguments.
This can help reason about debugging errors in specific types of function
calls.
:param which: One of 'keyword', 'positional', 'star', 'double_star'
:return: Strategy for generating an function call isolated to specific
argument types.
"""
kwargs = dict(
max_keyword_args=0,
max_positional_args=0,
max_star_args=0,
max_double_star_args=0,
)
kwargs['_'.join(('min', which, 'args'))] = 1
kwargs['_'.join(('max', which, 'args'))] = 5 if 'star' not in which else 1
return function_calls(**kwargs)
with settings(max_examples=25):
@given(isolated_function_calls('positional'))
@example("fn(0)")
def test_function_positional_only(expr):
validate_uncompyle(expr)
@given(isolated_function_calls('keyword'))
@example("fn(a=0)")
def test_function_call_keyword_only(expr):
validate_uncompyle(expr)
@given(isolated_function_calls('star'))
@example("fn(*items)")
def test_function_call_star_only(expr):
validate_uncompyle(expr)
@pytest.mark.xfail()
@given(isolated_function_calls('double_star'))
@example("fn(**{})")
def test_function_call_double_star_only(expr):
validate_uncompyle(expr)
@pytest.mark.xfail()
@@ -61,11 +140,6 @@ def test_BUILD_MAP_BUILD_MAP_UNPACK_WITH_CALL_BUILD_TUPLE_CALL_FUNCTION_EX():
validate_uncompyle("fn(a=0,**g)")
@pytest.mark.xfail()
def test_CALL_FUNCTION_KW():
validate_uncompyle("fn(j=0)")
@pytest.mark.xfail()
def test_CALL_FUNCTION_EX():
validate_uncompyle("fn(*g,**j)")
@@ -100,29 +174,3 @@ def test_BUILD_CONST_KEY_MAP_CALL_FUNCTION_EX():
@given(function_calls())
def test_function_call(function_call):
validate_uncompyle(function_call)
examples = set()
generate_examples = False
@pytest.mark.skipif(not generate_examples, reason='not generating examples')
@given(function_calls())
def test_generate_hypothesis(function_call):
examples.add(function_call)
@pytest.mark.skipif(not generate_examples, reason='not generating examples')
def test_generate_examples():
import dis
example_opcodes = {}
for example in examples:
opcodes = tuple(sorted(set(
instruction.opname
for instruction in dis.Bytecode(example)
if instruction.opname not in ('LOAD_CONST', 'LOAD_NAME', 'RETURN_VALUE')
)))
example_opcodes[opcodes] = example
for k, v in example_opcodes.items():
print('def test_' + '_'.join(k) + '():\n validate_uncompyle("' + v + '")\n\n')
return