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from frozendict import frozendict
import pytest
from src.basic_data_handling.dict_nodes import (
DictCompare,
DictContainsKey,
DictCreate,
DictCreateFromBoolean,
DictCreateFromFloat,
DictCreateFromInt,
DictCreateFromItemsDataList,
DictCreateFromItemsList,
DictCreateFromLists,
DictCreateFromString,
DictExcludeKeys,
DictFilterByKeys,
DictFromKeys,
DictGet,
DictGetKeysValues,
DictGetMultiple,
DictInvert,
DictItems,
DictKeys,
DictLength,
DictMerge,
DictPop,
DictPopItem,
DictPopRandom,
DictRemove,
DictSet,
DictSetDefault,
DictUpdate,
DictValues,
)
# frozendict - as an example of not-a-dict-subclass-yet-mapping class:
_tested_dict_types = (dict, frozendict)
_dict_x1 = {"key1": "value1"}
_dict_x2 = {"key1": "value1", "key2": "value2"}
_dict_x3 = {"key1": "value1", "key2": "value2", "key3": "value3"}
_dict_b = {"key2": "value2"}
def test_dict_create():
node = DictCreate()
assert node.create() == ({},) # Creates an empty dictionary
@pytest.mark.parametrize(
"in_dict, key, default, expected, message", [
(_dict_x3, "key1", None, "value1", "existing key"),
(_dict_x3, "non_existent", None, None, "missing key, no default"),
(_dict_x3, "key99", "default_value", "default_value", "missing key with default"),
]
)
@pytest.mark.parametrize("dict_type", _tested_dict_types)
def test_dict_get(dict_type, in_dict, key, default, expected, message):
node = DictGet()
my_dict = dict_type(in_dict)
assert node.get(my_dict, key, default=default) == (expected,), f"Wrong result: {message}"
@pytest.mark.parametrize(
"in_dict, key, value, expected, message", [
(_dict_x1, "key2", "value2", _dict_x2, "base case"),
(_dict_x1, "key1", "new_value", {"key1": "new_value"}, "overwriting existing key"),
({}, "key", "value", {"key": "value"}, "empty dict"),
]
)
@pytest.mark.parametrize("dict_type", _tested_dict_types)
def test_dict_set(dict_type, in_dict, key, value, expected, message):
node = DictSet()
my_dict = dict_type(in_dict)
result = node.set(my_dict, key, value)
assert result == (dict_type(expected),), f"Wrong result: {message}"
assert type(result[0]) == dict_type, f"Wrong type: {message}"
def test_dict_create_from_boolean():
node = DictCreateFromBoolean()
# Test with dynamic inputs
result = node.create(key_0="key1", value_0=True, key_1="key2", value_1=False, key_2="", value_2="")
assert result == ({"key1": True, "key2": False},)
# Test with empty inputs
assert node.create() == ({},)
def test_dict_create_from_float():
node = DictCreateFromFloat()
# Test with dynamic inputs
result = node.create(key_0="key1", value_0=1.5, key_1="key2", value_1=2.5, key_2="", value_2="")
assert result == ({"key1": 1.5, "key2": 2.5},)
# Test with empty inputs
assert node.create() == ({},)
def test_dict_create_from_int():
node = DictCreateFromInt()
# Test with dynamic inputs
result = node.create(key_0="key1", value_0=1, key_1="key2", value_1=2, key_2="", value_2="")
assert result == ({"key1": 1, "key2": 2},)
# Test with empty inputs
assert node.create() == ({},)
def test_dict_create_from_string():
node = DictCreateFromString()
# Test with dynamic inputs
result = node.create(key_0="key1", value_0="value1", key_1="key2", value_1="value2", key_2="", value_2="")
assert result == (_dict_x2,)
# Test with empty inputs
assert node.create() == ({},)
def test_dict_create_from_items_datalist():
node = DictCreateFromItemsDataList()
assert node.create_from_items(item=[("key1", "value1"), ("key2", "value2")]) == (_dict_x2,)
with pytest.raises(ValueError):
node.create_from_items(item=[("key1", "value1", "extra")])
def test_dict_create_from_items_list():
node = DictCreateFromItemsList()
assert node.create_from_items(items=[("key1", "value1"), ("key2", "value2")]) == (_dict_x2,)
with pytest.raises(ValueError):
node.create_from_items(items=[("key1", "value1", "extra")])
@pytest.mark.parametrize("dict_type", _tested_dict_types)
def test_dict_pop_random(dict_type):
node = DictPopRandom()
# Test with non-empty dictionary
my_dict = dict_type(_dict_x2)
result_dict, key, value, success = node.pop_random(my_dict)
# Check that operation was successful
assert success is True
# Check that one item was removed
assert len(result_dict) == len(my_dict) - 1
# Check that removed key is not in result dict
assert key not in result_dict
assert type(result_dict) == dict_type
# Check that the original key-value pair matches
assert my_dict[key] == value
# Test with empty dictionary
empty_result_dict, empty_key, empty_value, empty_success = node.pop_random(dict_type({}))
assert empty_result_dict == dict_type({})
assert type(empty_result_dict) == dict_type
assert empty_key == ""
assert empty_value is None
assert empty_success is False
@pytest.mark.parametrize("dict_type", _tested_dict_types)
def test_dict_keys(dict_type):
node = DictKeys()
my_dict = dict_type(_dict_x2)
assert node.keys(my_dict) == (["key1", "key2"],)
# Test with empty dict
assert node.keys(dict_type({})) == ([],)
@pytest.mark.parametrize("dict_type", _tested_dict_types)
def test_dict_values(dict_type):
node = DictValues()
assert node.values(dict_type(_dict_x2)) == (["value1", "value2"],)
# Test with empty dict
assert node.values(dict_type({})) == ([],)
@pytest.mark.parametrize("dict_type", _tested_dict_types)
def test_dict_items(dict_type):
node = DictItems()
my_dict = dict_type(_dict_x2)
# Note that the order might not be preserved, so we check if items are in the result
items = node.items(my_dict)[0]
assert len(items) == 2
assert ("key1", "value1") in items
assert ("key2", "value2") in items
# Test with empty dict
assert node.items(dict_type({})) == ([],)
@pytest.mark.parametrize("dict_type", _tested_dict_types)
def test_dict_contains_key(dict_type):
node = DictContainsKey()
my_dict = dict_type(_dict_x1)
assert node.contains_key(my_dict, "key1") == (True,)
assert node.contains_key(my_dict, "key2") == (False,)
# Test with empty dict
assert node.contains_key(dict_type({}), "any_key") == (False,)
def test_dict_from_keys():
node = DictFromKeys()
keys = ["key1", "key2"]
assert node.from_keys(keys, value="value") == ({"key1": "value", "key2": "value"},)
# Test without value (should use None)
assert node.from_keys(keys) == ({"key1": None, "key2": None},)
# Test with empty keys list
assert node.from_keys([]) == ({},)
@pytest.mark.parametrize(
"in_dict, key, default, out_dict, pop_value, message", [
(_dict_x2, "key1", None, _dict_b, "value1", "base case"),
(_dict_x2, "non_existent", "default", _dict_x2, "default", "non-existent key (with default)"),
({"a": 1}, "b", None, {"a": 1}, None, "non-existent key (no default)"),
({}, "key", None, {}, None, "empty dict"),
]
)
@pytest.mark.parametrize("dict_type", _tested_dict_types)
def test_dict_pop(dict_type, in_dict, key, default, out_dict, pop_value, message):
node = DictPop()
my_dict = dict_type(in_dict)
result = node.pop(my_dict, key, default_value=default)
assert result == (dict_type(out_dict), pop_value), f"Wrong result: {message}"
assert type(result[0]) == dict_type, f"Wrong type: {message}"
@pytest.mark.parametrize("dict_type", _tested_dict_types)
def test_dict_pop_item(dict_type):
node = DictPopItem()
my_dict = dict_type(_dict_x1)
result = node.popitem(my_dict)
# Since we only have one item, we know what should be popped
assert result[0] == dict_type({}) # remaining dict is empty
assert type(result[0]) == dict_type
assert result[1] == "key1" # popped key
assert result[2] == "value1" # popped value
assert result[3] is True # success
# Test with empty dict
assert node.popitem({}) == ({}, "", None, False)
@pytest.mark.parametrize(
"in_dict, key, default, out_dict, out_value, message", [
(_dict_x1, "key2", "default", {"key1": "value1", "key2": "default"}, "default", "key that doesn't exist"),
(_dict_x1, "key1", "new_default", _dict_x1, "value1", "key that already exists"),
({}, "key", "value", {"key": "value"}, "value", "empty dict"),
]
)
@pytest.mark.parametrize("dict_type", _tested_dict_types)
def test_dict_set_default(dict_type, in_dict, key, default, out_dict, out_value, message):
node = DictSetDefault()
my_dict = dict_type(in_dict)
result = node.setdefault(my_dict, key, default)
assert result == (dict_type(out_dict), out_value), f"Wrong result: {message}"
assert type(result[0]) == dict_type, f"Wrong type: {message}"
@pytest.mark.parametrize(
"in_dict, update_dict, expected, message", [
(_dict_x1, _dict_b, _dict_x2, "base case"),
({"a": 1, "b": 2}, {"b": 3, "c": 4}, {"a": 1, "b": 3, "c": 4}, "overlapping keys"),
(_dict_x1, {}, _dict_x1, "empty update dict"),
({}, _dict_b, _dict_b, "empty original dict"),
]
)
@pytest.mark.parametrize("update_type", _tested_dict_types)
@pytest.mark.parametrize("in_type", _tested_dict_types)
def test_dict_update(in_type, update_type, in_dict, update_dict, expected, message):
node = DictUpdate()
result = node.update(in_type(in_dict), update_type(update_dict))
assert result == (in_type(expected),), f"Wrong result: {message}"
assert type(result[0]) == in_type, f"Wrong type: {message}"
@pytest.mark.parametrize("num", [0, 3, 6, 9, 12, 15])
@pytest.mark.parametrize("dict_type", _tested_dict_types)
def test_dict_length(dict_type, num):
node = DictLength()
my_dict = dict_type({f"key{x}": f"value{x}" for x in range(1, num+1)})
assert node.length(my_dict) == (num,)
@pytest.mark.parametrize(
"dict_a, other_dicts, expected, message", [
(_dict_x1, [_dict_b], _dict_x2, "basic merge"),
({"a": 1}, [{"a": 2}], {"a": 2}, "overlapping keys (later dicts override earlier ones)"),
({"a": 1}, [{"b": 2}, {"c": 3}], {"a": 1, "b": 2, "c": 3}, "more than two dicts"),
({}, [], {}, "empty dict - v1"),
(_dict_x1, [], _dict_x1, "empty dict - v2"),
(_dict_x1, [{}], _dict_x1, "empty dict - v3"),
(_dict_x1, [{}, {}, {}], _dict_x1, "empty dict - v4"),
({}, [_dict_x1], _dict_x1, "empty dict - v5"),
({}, [_dict_x1, _dict_b], _dict_x2, "empty first dict"),
]
)
@pytest.mark.parametrize("type_b", _tested_dict_types)
@pytest.mark.parametrize("type_a", _tested_dict_types)
def test_dict_merge(type_a, type_b, dict_a, other_dicts, expected, message):
node = DictMerge()
dict1 = type_a(dict_a)
dicts_extra = tuple(type_b(d) for d in other_dicts)
result = node.merge(dict1, *dicts_extra)
assert result == (type_a(expected),), f"Wrong result: {message}"
assert type(result[0]) == type_a, f"Wrong type: {message}"
@pytest.mark.parametrize("dict_type", _tested_dict_types)
def test_dict_get_keys_values(dict_type):
node = DictGetKeysValues()
my_dict = dict_type(_dict_x2)
keys, values = node.get_keys_values(my_dict)
# Check keys and values contents (order may vary)
assert set(keys) == {"key1", "key2"}
assert set(values) == {"value1", "value2"}
# Test with empty dict
assert node.get_keys_values(dict_type({})) == ([], [])
@pytest.mark.parametrize(
"in_dict, key, expected, success, message", [
(_dict_x2, "key1", _dict_b, True, "successful removal"),
(_dict_x2, "non_existent", _dict_x2, False, "removal of non-existent key"),
({}, "any_key", {}, False, "empty dict"),
]
)
@pytest.mark.parametrize("dict_type", _tested_dict_types)
def test_dict_remove(dict_type, in_dict, key, expected, success, message):
node = DictRemove()
my_dict = dict_type(in_dict)
result = node.remove(my_dict, key)
assert result == (dict_type(expected), success), f"Wrong result: {message}"
assert type(result[0]) == dict_type, f"Wrong type: {message}"
@pytest.mark.parametrize(
"in_dict, keys, expected, message", [
(_dict_x3, ["key1", "key3"], {"key1": "value1", "key3": "value3"}, "subset of keys"),
(_dict_x3, ["key1", "non_existent"], _dict_x1, "non-existent keys"),
(_dict_x3, [], {}, "empty keys list"),
(_dict_x3, list(_dict_x3.keys()), _dict_x3, "all keys"),
({}, ["any_key"], {}, "empty dict"),
]
)
@pytest.mark.parametrize("dict_type", _tested_dict_types)
def test_dict_filter_by_keys(dict_type, in_dict, keys, expected, message):
node = DictFilterByKeys()
my_dict = dict_type(in_dict)
result = node.filter_by_keys(my_dict, keys)
assert result == (dict_type(expected),), f"Wrong result: {message}"
assert type(result[0]) == dict_type, f"Wrong type: {message}"
@pytest.mark.parametrize(
"in_dict, keys, expected, message", [
(_dict_x3, ["key1", "key3"], _dict_b, "excluding some keys"),
(_dict_x3, list(_dict_x3.keys()), {}, "excluding all keys"),
(_dict_x3, ["non_existent"], _dict_x3, "excluding non-existent keys"),
(_dict_x3, [], _dict_x3, "empty exclude list"),
({}, ["any_key"], {}, "empty dict"),
]
)
@pytest.mark.parametrize("dict_type", _tested_dict_types)
def test_dict_exclude_keys(dict_type, in_dict, keys, expected, message):
node = DictExcludeKeys()
my_dict = dict_type(in_dict)
result = node.exclude_keys(my_dict, keys)
assert result == (dict_type(expected),), f"Wrong result: {message}"
assert type(result[0]) == dict_type, f"Wrong type: {message}"
@pytest.mark.parametrize("dict_type", _tested_dict_types)
def test_dict_get_multiple(dict_type):
node = DictGetMultiple()
my_dict = dict_type(_dict_x2)
# Test getting existing keys
assert node.get_multiple(my_dict, ["key1", "key2"]) == (["value1", "value2"],)
# Test with mix of existing and non-existent keys
assert node.get_multiple(my_dict, ["key1", "key3"], default="default") == (["value1", "default"],)
# Test with only non-existent keys
assert node.get_multiple(my_dict, ["key3", "key4"], default="default") == (["default", "default"],)
# Test with empty keys list
assert node.get_multiple(my_dict, []) == ([],)
# Test with empty dict
assert node.get_multiple(dict_type({}), ["key1"], default="default") == (["default"],)
@pytest.mark.parametrize(
"in_dict, out_dict, success, message", [
(_dict_x2, {"value1": "key1", "value2": "key2"}, True, "basic inversion"),
({"key1": "value", "key2": "value"}, {"value": "key2"}, True, "duplicated values - last key wins"),
({}, {}, True, "empty dict"),
# TODO: `False` success
]
)
@pytest.mark.parametrize("dict_type", _tested_dict_types)
def test_dict_invert(dict_type, in_dict, out_dict, success, message):
node = DictInvert()
result = node.invert(dict_type(in_dict))
assert result == (dict_type(out_dict), success), f"Wrong result: {message}"
assert type(result[0]) == dict_type, f"Wrong type: {message}"
def test_dict_invert_unhashable_values():
node = DictInvert()
my_dict = {"key1": [1], "key2": [2]}
result, success = node.invert(my_dict)
assert result == my_dict
assert success is False
def test_dict_create_from_lists():
node = DictCreateFromLists()
keys = ["key1", "key2", "key3"]
values = ["value1", "value2", "value3"]
# Test with matching length lists
assert node.create_from_lists(keys, values) == (_dict_x3,)
# Test with more keys than values
assert node.create_from_lists(keys, ["value1", "value2"]) == (_dict_x2,)
# Test with more values than keys
assert node.create_from_lists(["key1", "key2"], values) == (_dict_x2,)
# Test with empty lists
assert node.create_from_lists([], []) == ({},)
@pytest.mark.parametrize("b_type", _tested_dict_types)
@pytest.mark.parametrize("a_type", _tested_dict_types)
def test_dict_compare(a_type, b_type):
node = DictCompare()
# Test identical dictionaries
dict_a = a_type(_dict_x2)
dict_b = b_type(_dict_x2)
assert node.compare(dict_a, dict_b) == (True, [], [], [])
# Test dictionaries with different values
dict_b = b_type({"key1": "value1", "key2": "different"})
are_equal, only_in_1, only_in_2, diff_values = node.compare(dict_a, dict_b)
assert are_equal is False
assert only_in_1 == []
assert only_in_2 == []
assert "key2" in diff_values
# Test dictionaries with different keys
dict_b = b_type({"key1": "value1", "key3": "value3"})
are_equal, only_in_1, only_in_2, diff_values = node.compare(dict_a, dict_b)
assert are_equal is False
assert "key2" in only_in_1
assert "key3" in only_in_2
assert diff_values == []
# Test empty dictionaries
assert node.compare(a_type({}), b_type({})) == (True, [], [], [])

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