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# -*- coding: utf-8 -*-
"""These test the utils.py functions."""
import unicodedata
import pytest
from hypothesis import given
from hypothesis.strategies import floats, integers, lists, text
from natsort.compat.fastnumbers import fast_float
from natsort.ns_enum import NS_DUMB, ns
from natsort.utils import NumericalRegularExpressions as NumRegex
from natsort.utils import parse_string_factory
class CustomTuple(tuple):
"""Used to ensure what is given during testing is what is returned."""
original = None
def input_transform(x):
"""Make uppercase."""
try:
return x.upper()
except AttributeError:
return x
def final_transform(x, original):
"""Make the input a CustomTuple."""
t = CustomTuple(x)
t.original = original
return t
def parse_string_func_factory(alg):
"""A parse_string_factory result with sample arguments."""
sep = ""
return parse_string_factory(
alg,
sep,
NumRegex.int_nosign().split,
input_transform,
fast_float,
final_transform,
)
@given(x=floats() | integers())
def test_parse_string_factory_raises_type_error_if_given_number(x):
parse_string_func = parse_string_func_factory(ns.DEFAULT)
with pytest.raises(TypeError):
assert parse_string_func(x)
# noinspection PyCallingNonCallable
@pytest.mark.parametrize(
"alg, orig_func",
[
(ns.DEFAULT, lambda x: x.upper()),
(ns.LOCALE, lambda x: x.upper()),
(ns.LOCALE | NS_DUMB, lambda x: x), # This changes the "original" handling.
],
)
@given(
x=lists(
elements=floats(allow_nan=False) | text() | integers(), min_size=1, max_size=10
)
)
@pytest.mark.usefixtures("with_locale_en_us")
def test_parse_string_factory_invariance(x, alg, orig_func):
parse_string_func = parse_string_func_factory(alg)
# parse_string_factory is the high-level combination of several dedicated
# functions involved in splitting and manipulating a string. The details of
# what those functions do is not relevant to testing parse_string_factory.
# What is relevant is that the form of the output matches the invariant
# that even elements are string and odd are numerical. That each component
# function is doing what it should is tested elsewhere.
value = "".join(map(str, x)) # Convert the input to a single string.
result = parse_string_func(value)
result_types = list(map(type, result))
expected_types = [str if i % 2 == 0 else float for i in range(len(result))]
assert result_types == expected_types
# The result is in our CustomTuple.
assert isinstance(result, CustomTuple)
# Original should have gone through the "input_transform"
# which is uppercase in these tests.
assert result.original == orig_func(unicodedata.normalize("NFD", value))
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