361 lines
9.3 KiB
Python
361 lines
9.3 KiB
Python
import importlib
|
|
import textwrap
|
|
|
|
import normalizeSelection
|
|
|
|
|
|
def test_part_dictionary():
|
|
importlib.reload(normalizeSelection)
|
|
src = textwrap.dedent(
|
|
"""\
|
|
not_dictionary = 'hi'
|
|
my_dict = {
|
|
"key1": "value1",
|
|
"key2": "value2"
|
|
}
|
|
print('only send the dictionary')
|
|
"""
|
|
)
|
|
|
|
expected = textwrap.dedent(
|
|
"""\
|
|
my_dict = {
|
|
"key1": "value1",
|
|
"key2": "value2"
|
|
}
|
|
"""
|
|
)
|
|
|
|
result = normalizeSelection.traverse_file(src, 3, 3, was_highlighted=False)
|
|
assert result["normalized_smart_result"] == expected
|
|
|
|
|
|
def test_nested_loop():
|
|
importlib.reload(normalizeSelection)
|
|
src = textwrap.dedent(
|
|
"""\
|
|
for i in range(1, 6):
|
|
for j in range(1, 6):
|
|
for x in range(1, 5):
|
|
for y in range(1, 5):
|
|
for z in range(1,10):
|
|
print(i, j, x, y, z)
|
|
"""
|
|
)
|
|
expected = textwrap.dedent(
|
|
"""\
|
|
for i in range(1, 6):
|
|
for j in range(1, 6):
|
|
for x in range(1, 5):
|
|
for y in range(1, 5):
|
|
for z in range(1,10):
|
|
print(i, j, x, y, z)
|
|
|
|
"""
|
|
)
|
|
result = normalizeSelection.traverse_file(src, 1, 1, was_highlighted=False)
|
|
assert result["normalized_smart_result"] == expected
|
|
|
|
|
|
def test_smart_shift_enter_multiple_statements():
|
|
importlib.reload(normalizeSelection)
|
|
src = textwrap.dedent(
|
|
"""\
|
|
import textwrap
|
|
import ast
|
|
|
|
print("Porsche")
|
|
print("Genesis")
|
|
|
|
|
|
print("Audi");print("BMW");print("Mercedes")
|
|
|
|
print("dont print me")
|
|
|
|
"""
|
|
)
|
|
# Expected to printing statement line by line,
|
|
# for when multiple print statements are ran
|
|
# from the same line.
|
|
expected = textwrap.dedent(
|
|
"""\
|
|
print("Audi")
|
|
print("BMW")
|
|
print("Mercedes")
|
|
"""
|
|
)
|
|
result = normalizeSelection.traverse_file(src, 8, 8, was_highlighted=False)
|
|
assert result["normalized_smart_result"] == expected
|
|
|
|
|
|
def test_two_layer_dictionary():
|
|
importlib.reload(normalizeSelection)
|
|
src = textwrap.dedent(
|
|
"""\
|
|
print("dont print me")
|
|
|
|
two_layered_dictionary = {
|
|
'inner_dict_one': {
|
|
'Audi': 'Germany',
|
|
'BMW': 'Germnay',
|
|
'Genesis': 'Korea',
|
|
},
|
|
'inner_dict_two': {
|
|
'Mercedes': 'Germany',
|
|
'Porsche': 'Germany',
|
|
'Lamborghini': 'Italy',
|
|
'Ferrari': 'Italy',
|
|
'Maserati': 'Italy'
|
|
}
|
|
}
|
|
"""
|
|
)
|
|
expected = textwrap.dedent(
|
|
"""\
|
|
two_layered_dictionary = {
|
|
'inner_dict_one': {
|
|
'Audi': 'Germany',
|
|
'BMW': 'Germnay',
|
|
'Genesis': 'Korea',
|
|
},
|
|
'inner_dict_two': {
|
|
'Mercedes': 'Germany',
|
|
'Porsche': 'Germany',
|
|
'Lamborghini': 'Italy',
|
|
'Ferrari': 'Italy',
|
|
'Maserati': 'Italy'
|
|
}
|
|
}
|
|
"""
|
|
)
|
|
result = normalizeSelection.traverse_file(src, 6, 7, was_highlighted=False)
|
|
|
|
assert result["normalized_smart_result"] == expected
|
|
|
|
|
|
def test_run_whole_func():
|
|
importlib.reload(normalizeSelection)
|
|
src = textwrap.dedent(
|
|
"""\
|
|
print("Decide which dog you will choose")
|
|
def my_dogs():
|
|
print("Corgi")
|
|
print("Husky")
|
|
print("Corgi2")
|
|
print("Husky2")
|
|
print("no dogs")
|
|
"""
|
|
)
|
|
|
|
expected = textwrap.dedent(
|
|
"""\
|
|
def my_dogs():
|
|
print("Corgi")
|
|
print("Husky")
|
|
print("Corgi2")
|
|
print("Husky2")
|
|
print("no dogs")
|
|
|
|
"""
|
|
)
|
|
result = normalizeSelection.traverse_file(src, 2, 2, was_highlighted=False)
|
|
|
|
assert result["normalized_smart_result"] == expected
|
|
|
|
|
|
def test_small_forloop():
|
|
importlib.reload(normalizeSelection)
|
|
src = textwrap.dedent(
|
|
"""\
|
|
for i in range(1, 6):
|
|
print(i)
|
|
print("Please also send this print statement")
|
|
"""
|
|
)
|
|
expected = textwrap.dedent(
|
|
"""\
|
|
for i in range(1, 6):
|
|
print(i)
|
|
print("Please also send this print statement")
|
|
|
|
"""
|
|
)
|
|
|
|
# Cover the whole for loop block with multiple inner statements
|
|
# Make sure to contain all of the print statements included.
|
|
result = normalizeSelection.traverse_file(src, 1, 1, was_highlighted=False)
|
|
|
|
assert result["normalized_smart_result"] == expected
|
|
|
|
|
|
def inner_for_loop_component():
|
|
"""Pressing shift+enter inside a for loop, specifically on a viable expression by itself, such as print(i) should only return that exact expression."""
|
|
importlib.reload(normalizeSelection)
|
|
src = textwrap.dedent(
|
|
"""\
|
|
for i in range(1, 6):
|
|
print(i)
|
|
print("Please also send this print statement")
|
|
"""
|
|
)
|
|
result = normalizeSelection.traverse_file(src, 2, 2, was_highlighted=False)
|
|
expected = textwrap.dedent(
|
|
"""\
|
|
print(i)
|
|
"""
|
|
)
|
|
|
|
assert result["normalized_smart_result"] == expected
|
|
|
|
|
|
def test_dict_comprehension():
|
|
"""Having the mouse cursor on the first line, and pressing shift+enter should return the whole dictionary comp, respecting user's code style."""
|
|
src = textwrap.dedent(
|
|
"""\
|
|
my_dict_comp = {temp_mover:
|
|
temp_mover for temp_mover in range(1, 7)}
|
|
"""
|
|
)
|
|
|
|
expected = textwrap.dedent(
|
|
"""\
|
|
my_dict_comp = {temp_mover:
|
|
temp_mover for temp_mover in range(1, 7)}
|
|
"""
|
|
)
|
|
|
|
result = normalizeSelection.traverse_file(src, 1, 1, was_highlighted=False)
|
|
|
|
assert result["normalized_smart_result"] == expected
|
|
|
|
|
|
def test_send_whole_generator():
|
|
"""Pressing shift+enter on the first line, which is the '(' should be returning the whole generator expression instead of just the '('."""
|
|
importlib.reload(normalizeSelection)
|
|
src = textwrap.dedent(
|
|
"""\
|
|
(
|
|
my_first_var
|
|
for my_first_var in range(1, 10)
|
|
if my_first_var % 2 == 0
|
|
)
|
|
"""
|
|
)
|
|
|
|
expected = textwrap.dedent(
|
|
"""\
|
|
(
|
|
my_first_var
|
|
for my_first_var in range(1, 10)
|
|
if my_first_var % 2 == 0
|
|
)
|
|
|
|
"""
|
|
)
|
|
|
|
result = normalizeSelection.traverse_file(src, 1, 1, was_highlighted=False)
|
|
|
|
assert result["normalized_smart_result"] == expected
|
|
|
|
|
|
def test_multiline_lambda():
|
|
"""Shift+enter on part of the lambda expression should return the whole lambda expression, regardless of whether all the component of lambda expression is on the same or not."""
|
|
importlib.reload(normalizeSelection)
|
|
src = textwrap.dedent(
|
|
"""\
|
|
my_lambda = lambda x: (
|
|
x + 1
|
|
)
|
|
"""
|
|
)
|
|
expected = textwrap.dedent(
|
|
"""\
|
|
my_lambda = lambda x: (
|
|
x + 1
|
|
)
|
|
|
|
"""
|
|
)
|
|
|
|
result = normalizeSelection.traverse_file(src, 1, 1, was_highlighted=False)
|
|
assert result["normalized_smart_result"] == expected
|
|
|
|
|
|
def test_send_whole_class():
|
|
"""Shift+enter on a class definition should send the whole class definition."""
|
|
importlib.reload(normalizeSelection)
|
|
src = textwrap.dedent(
|
|
"""\
|
|
class Stub(object):
|
|
def __init__(self):
|
|
self.calls = []
|
|
|
|
def add_call(self, name, args=None, kwargs=None):
|
|
self.calls.append((name, args, kwargs))
|
|
print("We should be here after running whole class")
|
|
"""
|
|
)
|
|
result = normalizeSelection.traverse_file(src, 1, 1, was_highlighted=False)
|
|
expected = textwrap.dedent(
|
|
"""\
|
|
class Stub(object):
|
|
def __init__(self):
|
|
self.calls = []
|
|
def add_call(self, name, args=None, kwargs=None):
|
|
self.calls.append((name, args, kwargs))
|
|
|
|
"""
|
|
)
|
|
assert result["normalized_smart_result"] == expected
|
|
|
|
|
|
def test_send_whole_if_statement():
|
|
"""Shift+enter on an if statement should send the whole if statement including statements inside and else."""
|
|
importlib.reload(normalizeSelection)
|
|
src = textwrap.dedent(
|
|
"""\
|
|
if True:
|
|
print('send this')
|
|
else:
|
|
print('also send this')
|
|
|
|
print('cursor here afterwards')
|
|
"""
|
|
)
|
|
expected = textwrap.dedent(
|
|
"""\
|
|
if True:
|
|
print('send this')
|
|
else:
|
|
print('also send this')
|
|
|
|
"""
|
|
)
|
|
result = normalizeSelection.traverse_file(src, 1, 1, was_highlighted=False)
|
|
assert result["normalized_smart_result"] == expected
|
|
|
|
|
|
def test_send_try():
|
|
importlib.reload(normalizeSelection)
|
|
src = textwrap.dedent(
|
|
"""\
|
|
try:
|
|
1+1
|
|
except:
|
|
print("error")
|
|
|
|
print("Not running this")
|
|
"""
|
|
)
|
|
expected = textwrap.dedent(
|
|
"""\
|
|
try:
|
|
1+1
|
|
except:
|
|
print("error")
|
|
|
|
"""
|
|
)
|
|
result = normalizeSelection.traverse_file(src, 1, 1, was_highlighted=False)
|
|
assert result["normalized_smart_result"] == expected
|