Move iterator handling functions to corelibs_iterator, corelibs_hash and corelibs_dump_data modules

Deprecate math helpers in favor of built-in math functions
This commit is contained in:
Clemens Schwaighofer
2026-02-03 18:58:28 +09:00
parent 31086fea53
commit 85063ea5df
16 changed files with 81 additions and 2958 deletions

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@@ -1,601 +0,0 @@
"""
tests for corelibs.iterator_handling.data_search
"""
# pylint: disable=use-implicit-booleaness-not-comparison
from typing import Any
import pytest
from corelibs.iterator_handling.data_search import (
find_in_array_from_list,
key_lookup,
value_lookup,
ArraySearchList
)
class TestFindInArrayFromList:
"""Tests for find_in_array_from_list function"""
def test_basic_single_key_match(self):
"""Test basic search with single key-value pair"""
data = [
{"name": "Alice", "age": 30},
{"name": "Bob", "age": 25},
{"name": "Charlie", "age": 35}
]
search_params: list[ArraySearchList] = [
{"key": "name", "value": "Bob"}
]
result = find_in_array_from_list(data, search_params)
assert len(result) == 1
assert result[0]["name"] == "Bob"
assert result[0]["age"] == 25
def test_multiple_key_match(self):
"""Test search with multiple key-value pairs (AND logic)"""
data = [
{"name": "Alice", "age": 30, "city": "New York"},
{"name": "Bob", "age": 25, "city": "London"},
{"name": "Charlie", "age": 30, "city": "Paris"}
]
search_params: list[ArraySearchList] = [
{"key": "age", "value": 30},
{"key": "city", "value": "New York"}
]
result = find_in_array_from_list(data, search_params)
assert len(result) == 1
assert result[0]["name"] == "Alice"
def test_value_list_or_match(self):
"""Test search with list of values (OR logic)"""
data = [
{"name": "Alice", "status": "active"},
{"name": "Bob", "status": "inactive"},
{"name": "Charlie", "status": "pending"}
]
search_params: list[ArraySearchList] = [
{"key": "status", "value": ["active", "pending"]}
]
result = find_in_array_from_list(data, search_params)
assert len(result) == 2
assert result[0]["name"] == "Alice"
assert result[1]["name"] == "Charlie"
def test_case_sensitive_true(self):
"""Test case-sensitive search (default behavior)"""
data = [
{"name": "Alice"},
{"name": "alice"},
{"name": "ALICE"}
]
search_params: list[ArraySearchList] = [
{"key": "name", "value": "Alice"}
]
result = find_in_array_from_list(data, search_params)
assert len(result) == 1
assert result[0]["name"] == "Alice"
def test_case_insensitive_search(self):
"""Test case-insensitive search"""
data = [
{"name": "Alice"},
{"name": "alice"},
{"name": "ALICE"}
]
search_params: list[ArraySearchList] = [
{"key": "name", "value": "alice", "case_sensitive": False}
]
result = find_in_array_from_list(data, search_params)
assert len(result) == 3
def test_case_insensitive_with_list_values(self):
"""Test case-insensitive search with list of values"""
data = [
{"status": "ACTIVE"},
{"status": "Pending"},
{"status": "inactive"}
]
search_params: list[ArraySearchList] = [
{"key": "status", "value": ["active", "pending"], "case_sensitive": False}
]
result = find_in_array_from_list(data, search_params)
assert len(result) == 2
assert result[0]["status"] == "ACTIVE"
assert result[1]["status"] == "Pending"
def test_return_index_true(self):
"""Test returning results with index"""
data = [
{"name": "Alice"},
{"name": "Bob"},
{"name": "Charlie"}
]
search_params: list[ArraySearchList] = [
{"key": "name", "value": "Bob"}
]
result = find_in_array_from_list(data, search_params, return_index=True)
assert len(result) == 1
assert result[0]["index"] == 1
assert result[0]["data"]["name"] == "Bob"
def test_return_index_multiple_results(self):
"""Test returning multiple results with indices"""
data = [
{"status": "active"},
{"status": "inactive"},
{"status": "active"}
]
search_params: list[ArraySearchList] = [
{"key": "status", "value": "active"}
]
result = find_in_array_from_list(data, search_params, return_index=True)
assert len(result) == 2
assert result[0]["index"] == 0
assert result[0]["data"]["status"] == "active"
assert result[1]["index"] == 2
assert result[1]["data"]["status"] == "active"
def test_no_match_returns_empty_list(self):
"""Test that no match returns empty list"""
data = [
{"name": "Alice"},
{"name": "Bob"}
]
search_params: list[ArraySearchList] = [
{"key": "name", "value": "Charlie"}
]
result = find_in_array_from_list(data, search_params)
assert result == []
def test_empty_data_returns_empty_list(self):
"""Test that empty data list returns empty list"""
data: list[dict[str, Any]] = []
search_params: list[ArraySearchList] = [
{"key": "name", "value": "Alice"}
]
result = find_in_array_from_list(data, search_params)
assert result == []
def test_missing_key_in_data(self):
"""Test search when key doesn't exist in some data items"""
data = [
{"name": "Alice", "age": 30},
{"name": "Bob"}, # Missing 'age' key
{"name": "Charlie", "age": 30}
]
search_params: list[ArraySearchList] = [
{"key": "age", "value": 30}
]
result = find_in_array_from_list(data, search_params)
assert len(result) == 2
assert result[0]["name"] == "Alice"
assert result[1]["name"] == "Charlie"
def test_numeric_values(self):
"""Test search with numeric values"""
data = [
{"id": 1, "score": 95},
{"id": 2, "score": 87},
{"id": 3, "score": 95}
]
search_params: list[ArraySearchList] = [
{"key": "score", "value": 95}
]
result = find_in_array_from_list(data, search_params)
assert len(result) == 2
assert result[0]["id"] == 1
assert result[1]["id"] == 3
def test_boolean_values(self):
"""Test search with boolean values"""
data = [
{"name": "Alice", "active": True},
{"name": "Bob", "active": False},
{"name": "Charlie", "active": True}
]
search_params: list[ArraySearchList] = [
{"key": "active", "value": True}
]
result = find_in_array_from_list(data, search_params)
assert len(result) == 2
assert result[0]["name"] == "Alice"
assert result[1]["name"] == "Charlie"
def test_float_values(self):
"""Test search with float values"""
data = [
{"name": "Product A", "price": 19.99},
{"name": "Product B", "price": 29.99},
{"name": "Product C", "price": 19.99}
]
search_params: list[ArraySearchList] = [
{"key": "price", "value": 19.99}
]
result = find_in_array_from_list(data, search_params)
assert len(result) == 2
assert result[0]["name"] == "Product A"
assert result[1]["name"] == "Product C"
def test_mixed_value_types_in_list(self):
"""Test search with mixed types in value list"""
data = [
{"id": "1", "value": "active"},
{"id": 2, "value": "pending"},
{"id": "3", "value": "active"}
]
search_params: list[ArraySearchList] = [
{"key": "id", "value": ["1", "3"]}
]
result = find_in_array_from_list(data, search_params)
assert len(result) == 2
assert result[0]["id"] == "1"
assert result[1]["id"] == "3"
def test_complex_multi_criteria_search(self):
"""Test complex search with multiple criteria"""
data = [
{"name": "Alice", "age": 30, "city": "New York", "status": "active"},
{"name": "Bob", "age": 25, "city": "London", "status": "active"},
{"name": "Charlie", "age": 30, "city": "Paris", "status": "inactive"},
{"name": "David", "age": 30, "city": "New York", "status": "active"}
]
search_params: list[ArraySearchList] = [
{"key": "age", "value": 30},
{"key": "city", "value": "New York"},
{"key": "status", "value": "active"}
]
result = find_in_array_from_list(data, search_params)
assert len(result) == 2
assert result[0]["name"] == "Alice"
assert result[1]["name"] == "David"
def test_invalid_search_params_not_list(self):
"""Test that non-list search_params raises ValueError"""
data = [{"name": "Alice"}]
search_params = {"key": "name", "value": "Alice"} # type: ignore
with pytest.raises(ValueError, match="search_params must be a list"):
find_in_array_from_list(data, search_params) # type: ignore
def test_missing_key_in_search_params(self):
"""Test that missing 'key' in search_params raises KeyError"""
data = [{"name": "Alice"}]
search_params: list[dict[str, Any]] = [
{"value": "Alice"} # Missing 'key'
]
with pytest.raises(KeyError, match="Either Key '' or Value 'Alice' is missing or empty"):
find_in_array_from_list(data, search_params) # type: ignore
def test_missing_value_in_search_params(self):
"""Test that missing 'value' in search_params raises KeyError"""
data = [{"name": "Alice"}]
search_params: list[dict[str, Any]] = [
{"key": "name"} # Missing 'value'
]
with pytest.raises(KeyError, match="Either Key 'name' or Value"):
find_in_array_from_list(data, search_params) # type: ignore
def test_empty_key_in_search_params(self):
"""Test that empty 'key' in search_params raises KeyError"""
data = [{"name": "Alice"}]
search_params: list[dict[str, Any]] = [
{"key": "", "value": "Alice"}
]
with pytest.raises(KeyError, match="Either Key '' or Value 'Alice' is missing or empty"):
find_in_array_from_list(data, search_params) # type: ignore
def test_empty_value_in_search_params(self):
"""Test that empty 'value' in search_params raises KeyError"""
data = [{"name": "Alice"}]
search_params: list[dict[str, Any]] = [
{"key": "name", "value": ""}
]
with pytest.raises(KeyError, match="Either Key 'name' or Value '' is missing or empty"):
find_in_array_from_list(data, search_params) # type: ignore
def test_duplicate_key_in_search_params(self):
"""Test that duplicate keys in search_params raises KeyError"""
data = [{"name": "Alice", "age": 30}]
search_params: list[ArraySearchList] = [
{"key": "name", "value": "Alice"},
{"key": "name", "value": "Bob"} # Duplicate key
]
with pytest.raises(KeyError, match="Key name already exists in search_params"):
find_in_array_from_list(data, search_params)
def test_partial_match_fails(self):
"""Test that partial match (not all criteria) returns no result"""
data = [
{"name": "Alice", "age": 30, "city": "New York"}
]
search_params: list[ArraySearchList] = [
{"key": "name", "value": "Alice"},
{"key": "age", "value": 25} # Doesn't match
]
result = find_in_array_from_list(data, search_params)
assert result == []
def test_none_value_in_list(self):
"""Test search with None in value list"""
data = [
{"name": "Alice", "nickname": "Ally"},
{"name": "Bob", "nickname": None},
{"name": "Charlie", "nickname": "Chuck"}
]
search_params: list[ArraySearchList] = [
{"key": "nickname", "value": [None, "Chuck"]}
]
result = find_in_array_from_list(data, search_params)
assert len(result) == 2
assert result[0]["name"] == "Bob"
assert result[1]["name"] == "Charlie"
@pytest.mark.parametrize("test_value,expected_count", [
("active", 1),
("inactive", 1),
("pending", 1),
("archived", 0)
])
def test_parametrized_status_search(self, test_value: str, expected_count: int):
"""Parametrized test for different status values"""
data = [
{"id": 1, "status": "active"},
{"id": 2, "status": "inactive"},
{"id": 3, "status": "pending"}
]
search_params: list[ArraySearchList] = [
{"key": "status", "value": test_value}
]
result = find_in_array_from_list(data, search_params)
assert len(result) == expected_count
class TestKeyLookup:
"""Tests for key_lookup function"""
def test_key_exists(self):
"""Test lookup when key exists"""
haystack = {"name": "Alice", "age": "30", "city": "New York"}
result = key_lookup(haystack, "name")
assert result == "Alice"
def test_key_not_exists(self):
"""Test lookup when key doesn't exist returns empty string"""
haystack = {"name": "Alice", "age": "30"}
result = key_lookup(haystack, "city")
assert result == ""
def test_empty_dict(self):
"""Test lookup in empty dictionary"""
haystack: dict[str, str] = {}
result = key_lookup(haystack, "name")
assert result == ""
def test_multiple_lookups(self):
"""Test multiple lookups in same dictionary"""
haystack = {"first": "John", "last": "Doe", "email": "john@example.com"}
assert key_lookup(haystack, "first") == "John"
assert key_lookup(haystack, "last") == "Doe"
assert key_lookup(haystack, "email") == "john@example.com"
assert key_lookup(haystack, "phone") == ""
def test_numeric_string_values(self):
"""Test lookup with numeric string values"""
haystack = {"count": "42", "price": "19.99"}
assert key_lookup(haystack, "count") == "42"
assert key_lookup(haystack, "price") == "19.99"
def test_empty_string_value(self):
"""Test lookup when value is empty string"""
haystack = {"name": "", "city": "New York"}
result = key_lookup(haystack, "name")
assert result == ""
def test_whitespace_value(self):
"""Test lookup when value contains whitespace"""
haystack = {"name": " Alice ", "message": " "}
assert key_lookup(haystack, "name") == " Alice "
assert key_lookup(haystack, "message") == " "
@pytest.mark.parametrize("key,expected", [
("a", "1"),
("b", "2"),
("c", "3"),
("d", "")
])
def test_parametrized_lookup(self, key: str, expected: str):
"""Parametrized test for key lookup"""
haystack = {"a": "1", "b": "2", "c": "3"}
result = key_lookup(haystack, key)
assert result == expected
class TestValueLookup:
"""Tests for value_lookup function"""
def test_value_exists_single(self):
"""Test lookup when value exists once"""
haystack = {"name": "Alice", "username": "alice123", "email": "alice@example.com"}
result = value_lookup(haystack, "Alice")
assert result == "name"
def test_value_not_exists(self):
"""Test lookup when value doesn't exist returns empty string"""
haystack = {"name": "Alice", "username": "alice123"}
result = value_lookup(haystack, "Bob")
assert result == ""
def test_value_exists_multiple_no_raise(self):
"""Test lookup when value exists multiple times, returns first"""
haystack = {"key1": "duplicate", "key2": "unique", "key3": "duplicate"}
result = value_lookup(haystack, "duplicate")
assert result in ["key1", "key3"] # Order may vary in dict
def test_value_exists_multiple_raise_on_many_false(self):
"""Test lookup with multiple matches and raise_on_many=False"""
haystack = {"a": "same", "b": "same", "c": "different"}
result = value_lookup(haystack, "same", raise_on_many=False)
assert result in ["a", "b"]
def test_value_exists_multiple_raise_on_many_true(self):
"""Test lookup with multiple matches and raise_on_many=True raises ValueError"""
haystack = {"a": "same", "b": "same", "c": "different"}
with pytest.raises(ValueError, match="More than one element found with the same name"):
value_lookup(haystack, "same", raise_on_many=True)
def test_value_exists_single_raise_on_many_true(self):
"""Test lookup with single match and raise_on_many=True works fine"""
haystack = {"name": "Alice", "username": "alice123"}
result = value_lookup(haystack, "Alice", raise_on_many=True)
assert result == "name"
def test_empty_dict(self):
"""Test lookup in empty dictionary"""
haystack: dict[str, str] = {}
result = value_lookup(haystack, "Alice")
assert result == ""
def test_empty_dict_raise_on_many(self):
"""Test lookup in empty dictionary with raise_on_many=True"""
haystack: dict[str, str] = {}
result = value_lookup(haystack, "Alice", raise_on_many=True)
assert result == ""
def test_numeric_string_values(self):
"""Test lookup with numeric string values"""
haystack = {"id": "123", "count": "456", "score": "123"}
result = value_lookup(haystack, "456")
assert result == "count"
def test_empty_string_value(self):
"""Test lookup for empty string value"""
haystack = {"name": "", "city": "New York", "country": ""}
result = value_lookup(haystack, "")
assert result in ["name", "country"]
def test_whitespace_value(self):
"""Test lookup for whitespace value"""
haystack = {"a": " spaces ", "b": "normal", "c": " spaces "}
result = value_lookup(haystack, " spaces ")
assert result in ["a", "c"]
def test_case_sensitive_lookup(self):
"""Test that lookup is case-sensitive"""
haystack = {"name": "Alice", "username": "alice", "email": "ALICE"}
assert value_lookup(haystack, "Alice") == "name"
assert value_lookup(haystack, "alice") == "username"
assert value_lookup(haystack, "ALICE") == "email"
assert value_lookup(haystack, "aLiCe") == ""
def test_special_characters(self):
"""Test lookup with special characters"""
haystack = {"key1": "test@example.com", "key2": "test#value", "key3": "test@example.com"}
result = value_lookup(haystack, "test@example.com")
assert result in ["key1", "key3"]
@pytest.mark.parametrize("value,expected_key", [
("value1", "a"),
("value2", "b"),
("value3", "c"),
("nonexistent", "")
])
def test_parametrized_lookup(self, value: str, expected_key: str):
"""Parametrized test for value lookup"""
haystack = {"a": "value1", "b": "value2", "c": "value3"}
result = value_lookup(haystack, value)
assert result == expected_key
def test_duplicate_values_consistent_return(self):
"""Test that lookup with duplicates consistently returns one of the keys"""
haystack = {"x": "dup", "y": "dup", "z": "dup"}
# Should return same key consistently
result1 = value_lookup(haystack, "dup")
result2 = value_lookup(haystack, "dup")
result3 = value_lookup(haystack, "dup")
assert result1 == result2 == result3
assert result1 in ["x", "y", "z"]

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"""
iterator_handling.dict_helper tests
"""
# pylint: disable=use-implicit-booleaness-not-comparison
from typing import Any
import pytest
from corelibs.iterator_handling.dict_helpers import (
delete_keys_from_set,
build_dict,
set_entry,
)
class TestDeleteKeysFromSet:
"""Test cases for delete_keys_from_set function"""
def test_delete_single_key_from_dict(self):
"""Test deleting a single key from a dictionary"""
set_data = {"a": 1, "b": 2, "c": 3}
keys = ["b"]
result = delete_keys_from_set(set_data, keys)
assert result == {"a": 1, "c": 3}
assert "b" not in result
def test_delete_multiple_keys_from_dict(self):
"""Test deleting multiple keys from a dictionary"""
set_data = {"a": 1, "b": 2, "c": 3, "d": 4}
keys = ["b", "d"]
result = delete_keys_from_set(set_data, keys)
assert result == {"a": 1, "c": 3}
assert "b" not in result
assert "d" not in result
def test_delete_all_keys_from_dict(self):
"""Test deleting all keys from a dictionary"""
set_data = {"a": 1, "b": 2}
keys = ["a", "b"]
result = delete_keys_from_set(set_data, keys)
assert result == {}
def test_delete_nonexistent_key(self):
"""Test deleting a key that doesn't exist"""
set_data = {"a": 1, "b": 2}
keys = ["c", "d"]
result = delete_keys_from_set(set_data, keys)
assert result == {"a": 1, "b": 2}
def test_delete_keys_from_nested_dict(self):
"""Test deleting keys from nested dictionaries"""
set_data = {
"a": 1,
"b": {"c": 2, "d": 3, "e": 4},
"f": 5
}
keys = ["d", "f"]
result = delete_keys_from_set(set_data, keys)
assert result == {"a": 1, "b": {"c": 2, "e": 4}}
assert "d" not in result["b"] # type: ignore
assert "f" not in result
def test_delete_keys_from_deeply_nested_dict(self):
"""Test deleting keys from deeply nested structures"""
set_data = {
"a": 1,
"b": {
"c": 2,
"d": {
"e": 3,
"f": 4
}
},
"g": 5
}
keys = ["f", "g"]
result = delete_keys_from_set(set_data, keys)
assert result == {"a": 1, "b": {"c": 2, "d": {"e": 3}}}
assert "g" not in result
def test_delete_keys_from_list(self):
"""Test with list containing dictionaries"""
set_data = [
{"a": 1, "b": 2},
{"c": 3, "d": 4},
{"e": 5, "f": 6}
]
keys = ["b", "d", "f"]
result = delete_keys_from_set(set_data, keys)
assert result == [
{"a": 1},
{"c": 3},
{"e": 5}
]
def test_delete_keys_from_list_with_nested_dicts(self):
"""Test with list containing nested dictionaries"""
set_data = [
{"a": 1, "b": {"c": 2, "d": 3}},
{"e": 4, "f": {"g": 5, "h": 6}}
]
keys = ["d", "h"]
result = delete_keys_from_set(set_data, keys)
assert result == [
{"a": 1, "b": {"c": 2}},
{"e": 4, "f": {"g": 5}}
]
def test_delete_keys_from_dict_with_list_values(self):
"""Test with dictionary containing list values"""
set_data = {
"a": [{"b": 1, "c": 2}, {"d": 3, "e": 4}],
"f": 5
}
keys = ["c", "e"]
result = delete_keys_from_set(set_data, keys)
assert result == {
"a": [{"b": 1}, {"d": 3}],
"f": 5
}
def test_empty_keys_list(self):
"""Test with empty keys list - should return data unchanged"""
set_data = {"a": 1, "b": 2, "c": 3}
keys: list[str] = []
result = delete_keys_from_set(set_data, keys)
assert result == set_data
def test_empty_dict(self):
"""Test with empty dictionary"""
set_data: dict[str, Any] = {}
keys = ["a", "b"]
result = delete_keys_from_set(set_data, keys)
assert result == {}
def test_empty_list(self):
"""Test with empty list"""
set_data: list[Any] = []
keys = ["a", "b"]
result = delete_keys_from_set(set_data, keys)
assert result == []
def test_string_input(self):
"""Test with string input - should convert to list"""
set_data = "hello"
keys = ["a"]
result = delete_keys_from_set(set_data, keys)
assert result == ["hello"]
def test_complex_mixed_structure(self):
"""Test with complex mixed structure"""
set_data = {
"users": [
{
"name": "Alice",
"age": 30,
"password": "secret1",
"profile": {
"email": "alice@example.com",
"password": "secret2"
}
},
{
"name": "Bob",
"age": 25,
"password": "secret3",
"profile": {
"email": "bob@example.com",
"password": "secret4"
}
}
],
"metadata": {
"count": 2,
"password": "admin"
}
}
keys = ["password"]
result = delete_keys_from_set(set_data, keys)
# Check that all password fields are removed
assert "password" not in result["metadata"] # type: ignore
for user in result["users"]: # type: ignore
assert "password" not in user
assert "password" not in user["profile"]
# Check that other fields remain
assert result["users"][0]["name"] == "Alice" # type: ignore
assert result["users"][1]["name"] == "Bob" # type: ignore
assert result["metadata"]["count"] == 2 # type: ignore
def test_dict_with_none_values(self):
"""Test with dictionary containing None values"""
set_data = {"a": 1, "b": None, "c": 3}
keys = ["b"]
result = delete_keys_from_set(set_data, keys)
assert result == {"a": 1, "c": 3}
def test_dict_with_various_value_types(self):
"""Test with dictionary containing various value types"""
set_data = {
"int": 42,
"float": 3.14,
"bool": True,
"str": "hello",
"list": [1, 2, 3],
"dict": {"nested": "value"},
"none": None
}
keys = ["bool", "none"]
result = delete_keys_from_set(set_data, keys)
assert "bool" not in result
assert "none" not in result
assert len(result) == 5
class TestBuildDict:
"""Test cases for build_dict function"""
def test_build_dict_without_ignore_entries(self):
"""Test build_dict without ignore_entries (None)"""
input_dict = {"a": 1, "b": 2, "c": 3}
result = build_dict(input_dict)
assert result == input_dict
assert result is input_dict # Should return same object
def test_build_dict_with_ignore_entries_single(self):
"""Test build_dict with single ignore entry"""
input_dict = {"a": 1, "b": 2, "c": 3}
ignore = ["b"]
result = build_dict(input_dict, ignore)
assert result == {"a": 1, "c": 3}
assert "b" not in result
def test_build_dict_with_ignore_entries_multiple(self):
"""Test build_dict with multiple ignore entries"""
input_dict = {"a": 1, "b": 2, "c": 3, "d": 4}
ignore = ["b", "d"]
result = build_dict(input_dict, ignore)
assert result == {"a": 1, "c": 3}
def test_build_dict_with_nested_ignore(self):
"""Test build_dict with nested structures"""
input_dict = {
"a": 1,
"b": {"c": 2, "d": 3},
"e": 4
}
ignore = ["d", "e"]
result = build_dict(input_dict, ignore)
assert result == {"a": 1, "b": {"c": 2}}
assert "e" not in result
assert "d" not in result["b"] # type: ignore
def test_build_dict_with_empty_ignore_list(self):
"""Test build_dict with empty ignore list"""
input_dict = {"a": 1, "b": 2}
ignore: list[str] = []
result = build_dict(input_dict, ignore)
assert result == input_dict
def test_build_dict_with_nonexistent_ignore_keys(self):
"""Test build_dict with keys that don't exist"""
input_dict = {"a": 1, "b": 2}
ignore = ["c", "d"]
result = build_dict(input_dict, ignore)
assert result == {"a": 1, "b": 2}
def test_build_dict_ignore_all_keys(self):
"""Test build_dict ignoring all keys"""
input_dict = {"a": 1, "b": 2}
ignore = ["a", "b"]
result = build_dict(input_dict, ignore)
assert result == {}
def test_build_dict_with_complex_structure(self):
"""Test build_dict with complex nested structure"""
input_dict = {
"ResponseMetadata": {
"RequestId": "12345",
"HTTPStatusCode": 200,
"RetryAttempts": 0
},
"data": {
"id": 1,
"name": "Test",
"ResponseMetadata": {"internal": "value"}
},
"status": "success"
}
ignore = ["ResponseMetadata", "RetryAttempts"]
result = build_dict(input_dict, ignore)
# ResponseMetadata should be removed at all levels
assert "ResponseMetadata" not in result
assert "ResponseMetadata" not in result["data"] # type: ignore
assert result["data"]["name"] == "Test" # type: ignore
assert result["status"] == "success" # type: ignore
def test_build_dict_with_list_values(self):
"""Test build_dict with lists containing dictionaries"""
input_dict = {
"items": [
{"id": 1, "temp": "remove"},
{"id": 2, "temp": "remove"}
],
"temp": "also_remove"
}
ignore = ["temp"]
result = build_dict(input_dict, ignore)
assert "temp" not in result
assert "temp" not in result["items"][0] # type: ignore
assert "temp" not in result["items"][1] # type: ignore
assert result["items"][0]["id"] == 1 # type: ignore
assert result["items"][1]["id"] == 2 # type: ignore
def test_build_dict_empty_input(self):
"""Test build_dict with empty dictionary"""
input_dict: dict[str, Any] = {}
result = build_dict(input_dict, ["a", "b"])
assert result == {}
def test_build_dict_preserves_type_annotation(self):
"""Test that build_dict preserves proper type"""
input_dict = {"a": 1, "b": [1, 2, 3], "c": {"nested": "value"}}
result = build_dict(input_dict)
assert isinstance(result, dict)
assert isinstance(result["b"], list)
assert isinstance(result["c"], dict)
class TestSetEntry:
"""Test cases for set_entry function"""
def test_set_entry_new_key(self):
"""Test setting a new key in dictionary"""
dict_set: dict[str, Any] = {}
key = "new_key"
value = "new_value"
result = set_entry(dict_set, key, value)
assert result[key] == value
assert len(result) == 1
def test_set_entry_existing_key(self):
"""Test overwriting an existing key"""
dict_set = {"key": "old_value"}
key = "key"
value = "new_value"
result = set_entry(dict_set, key, value)
assert result[key] == value
assert result[key] != "old_value"
def test_set_entry_with_dict_value(self):
"""Test setting a dictionary as value"""
dict_set: dict[str, Any] = {}
key = "config"
value = {"setting1": True, "setting2": "value"}
result = set_entry(dict_set, key, value)
assert result[key] == value
assert isinstance(result[key], dict)
def test_set_entry_with_list_value(self):
"""Test setting a list as value"""
dict_set: dict[str, Any] = {}
key = "items"
value = [1, 2, 3, 4]
result = set_entry(dict_set, key, value)
assert result[key] == value
assert isinstance(result[key], list)
def test_set_entry_with_none_value(self):
"""Test setting None as value"""
dict_set: dict[str, Any] = {}
key = "nullable"
value = None
result = set_entry(dict_set, key, value)
assert result[key] is None
assert key in result
def test_set_entry_with_integer_value(self):
"""Test setting integer value"""
dict_set: dict[str, Any] = {}
key = "count"
value = 42
result = set_entry(dict_set, key, value)
assert result[key] == 42
assert isinstance(result[key], int)
def test_set_entry_with_float_value(self):
"""Test setting float value"""
dict_set: dict[str, Any] = {}
key = "price"
value = 19.99
result = set_entry(dict_set, key, value)
assert result[key] == 19.99
assert isinstance(result[key], float)
def test_set_entry_with_boolean_value(self):
"""Test setting boolean value"""
dict_set: dict[str, Any] = {}
key = "enabled"
value = True
result = set_entry(dict_set, key, value)
assert result[key] is True
assert isinstance(result[key], bool)
def test_set_entry_multiple_times(self):
"""Test setting multiple entries"""
dict_set: dict[str, Any] = {}
set_entry(dict_set, "key1", "value1")
set_entry(dict_set, "key2", "value2")
set_entry(dict_set, "key3", "value3")
assert len(dict_set) == 3
assert dict_set["key1"] == "value1"
assert dict_set["key2"] == "value2"
assert dict_set["key3"] == "value3"
def test_set_entry_overwrites_existing(self):
"""Test that setting an existing key overwrites it"""
dict_set = {"key": {"old": "data"}}
value = {"new": "data"}
result = set_entry(dict_set, "key", value)
assert result["key"] == {"new": "data"}
assert "old" not in result["key"]
def test_set_entry_modifies_original_dict(self):
"""Test that set_entry modifies the original dictionary"""
dict_set: dict[str, Any] = {}
result = set_entry(dict_set, "key", "value")
assert result is dict_set
assert dict_set["key"] == "value"
def test_set_entry_with_empty_string_value(self):
"""Test setting empty string as value"""
dict_set: dict[str, Any] = {}
key = "empty"
value = ""
result = set_entry(dict_set, key, value)
assert result[key] == ""
assert key in result
def test_set_entry_with_complex_nested_structure(self):
"""Test setting complex nested structure"""
dict_set: dict[str, Any] = {}
key = "complex"
value = {
"level1": {
"level2": {
"level3": ["a", "b", "c"]
}
}
}
result = set_entry(dict_set, key, value)
assert result[key]["level1"]["level2"]["level3"] == ["a", "b", "c"]
# Parametrized tests for more comprehensive coverage
class TestParametrized:
"""Parametrized tests for better coverage"""
@pytest.mark.parametrize("set_data,keys,expected", [
({"a": 1, "b": 2}, ["b"], {"a": 1}),
({"a": 1, "b": 2, "c": 3}, ["a", "c"], {"b": 2}),
({"a": 1}, ["a"], {}),
({"a": 1, "b": 2}, ["c"], {"a": 1, "b": 2}),
({}, ["a"], {}),
({"a": {"b": 1, "c": 2}}, ["c"], {"a": {"b": 1}}),
])
def test_delete_keys_parametrized(
self,
set_data: dict[str, Any],
keys: list[str],
expected: dict[str, Any]
):
"""Test delete_keys_from_set with various inputs"""
result = delete_keys_from_set(set_data, keys)
assert result == expected
@pytest.mark.parametrize("input_dict,ignore,expected", [
({"a": 1, "b": 2}, ["b"], {"a": 1}),
({"a": 1, "b": 2}, ["c"], {"a": 1, "b": 2}),
({"a": 1, "b": 2}, [], {"a": 1, "b": 2}),
({"a": 1}, ["a"], {}),
({}, ["a"], {}),
])
def test_build_dict_parametrized(
self,
input_dict: dict[str, Any],
ignore: list[str],
expected: dict[str, Any]
):
"""Test build_dict with various inputs"""
result = build_dict(input_dict, ignore)
assert result == expected
@pytest.mark.parametrize("key,value", [
("string_key", "string_value"),
("int_key", 42),
("float_key", 3.14),
("bool_key", True),
("list_key", [1, 2, 3]),
("dict_key", {"nested": "value"}),
("none_key", None),
("empty_key", ""),
("zero_key", 0),
("false_key", False),
])
def test_set_entry_parametrized(self, key: str, value: Any):
"""Test set_entry with various value types"""
dict_set: dict[str, Any] = {}
result = set_entry(dict_set, key, value)
assert result[key] == value
# Edge cases and integration tests
class TestEdgeCases:
"""Test edge cases and special scenarios"""
def test_delete_keys_preserves_modification(self):
"""Test that original dict is modified"""
set_data = {"a": 1, "b": 2, "c": 3}
keys = ["b"]
result = delete_keys_from_set(set_data, keys)
# The function modifies the original dict
assert result is set_data
assert "b" not in set_data
def test_build_dict_with_aws_typedef_scenario(self):
"""Test build_dict mimicking AWS TypedDict usage"""
# Simulating AWS response with ResponseMetadata
aws_response: dict[str, Any] = {
"Items": [
{"id": "1", "name": "Item1"},
{"id": "2", "name": "Item2"}
],
"Count": 2,
"ScannedCount": 2,
"ResponseMetadata": {
"RequestId": "abc123",
"HTTPStatusCode": 200,
"HTTPHeaders": {},
"RetryAttempts": 0
}
}
result = build_dict(aws_response, ["ResponseMetadata"])
assert "ResponseMetadata" not in result
assert result["Count"] == 2 # type: ignore
assert len(result["Items"]) == 2 # type: ignore
def test_set_entry_idempotency(self):
"""Test that calling set_entry multiple times with same value is idempotent"""
dict_set: dict[str, Any] = {}
value = "test_value"
result1 = set_entry(dict_set, "key", value)
result2 = set_entry(dict_set, "key", value)
result3 = set_entry(dict_set, "key", value)
assert result1 is result2 is result3
assert result1["key"] == value
assert len(result1) == 1
def test_delete_keys_with_circular_reference_protection(self):
"""Test that function handles normal cases without circular issues"""
# Python dicts can't have true circular references easily
# but we can test deep nesting
set_data = {
"level1": {
"level2": {
"level3": {
"level4": {
"data": "value",
"remove": "this"
}
}
}
}
}
keys = ["remove"]
result = delete_keys_from_set(set_data, keys)
assert "remove" not in result["level1"]["level2"]["level3"]["level4"] # type: ignore
assert result["level1"]["level2"]["level3"]["level4"]["data"] == "value" # type: ignore
def test_build_dict_none_ignore_vs_empty_ignore(self):
"""Test difference between None and empty list for ignore_entries"""
input_dict = {"a": 1, "b": 2}
result_none = build_dict(input_dict, None)
result_empty = build_dict(input_dict, [])
assert result_none == input_dict
assert result_empty == input_dict
# With None, it returns the same object
assert result_none is input_dict
# With empty list, it goes through delete_keys_from_set
assert result_empty is input_dict
# Integration tests
class TestIntegration:
"""Integration tests combining multiple functions"""
def test_build_dict_then_set_entry(self):
"""Test using build_dict followed by set_entry"""
original = {
"a": 1,
"b": 2,
"remove_me": "gone"
}
cleaned = build_dict(original, ["remove_me"])
result = set_entry(cleaned, "c", 3)
assert result == {"a": 1, "b": 2, "c": 3}
assert "remove_me" not in result
def test_delete_keys_then_set_entry(self):
"""Test using delete_keys_from_set followed by set_entry"""
data = {"a": 1, "b": 2, "c": 3}
cleaned = delete_keys_from_set(data, ["b"])
result = set_entry(cleaned, "d", 4) # type: ignore
assert result == {"a": 1, "c": 3, "d": 4}
def test_multiple_operations_chain(self):
"""Test chaining multiple operations"""
data = {
"user": {
"name": "Alice",
"password": "secret",
"email": "alice@example.com"
},
"metadata": {
"created": "2024-01-01",
"password": "admin"
}
}
# Remove passwords
cleaned = build_dict(data, ["password"])
# Add new field
result = set_entry(cleaned, "processed", True)
assert "password" not in result["user"] # type: ignore
assert "password" not in result["metadata"] # type: ignore
assert result["processed"] is True # type: ignore
assert result["user"]["name"] == "Alice" # type: ignore
# __END__

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@@ -1,291 +0,0 @@
"""
tests for corelibs.iterator_handling.dict_helpers
"""
from typing import Any
import pytest
from corelibs.iterator_handling.dict_mask import mask
def test_mask_default_behavior():
"""Test masking with default mask_keys"""
data = {
"username": "john_doe",
"password": "secret123",
"email": "john@example.com",
"api_secret": "abc123",
"encryption_key": "xyz789"
}
result = mask(data)
assert result["username"] == "john_doe"
assert result["password"] == "***"
assert result["email"] == "john@example.com"
assert result["api_secret"] == "***"
assert result["encryption_key"] == "***"
def test_mask_custom_keys():
"""Test masking with custom mask_keys"""
data = {
"username": "john_doe",
"token": "abc123",
"api_key": "xyz789",
"password": "secret123"
}
result = mask(data, mask_keys=["token", "api"])
assert result["username"] == "john_doe"
assert result["token"] == "***"
assert result["api_key"] == "***"
assert result["password"] == "secret123" # Not masked with custom keys
def test_mask_custom_mask_string():
"""Test masking with custom mask string"""
data = {"password": "secret123"}
result = mask(data, mask_str="[HIDDEN]")
assert result["password"] == "[HIDDEN]"
def test_mask_case_insensitive():
"""Test that masking is case insensitive"""
data = {
"PASSWORD": "secret123",
"Secret_Key": "abc123",
"ENCRYPTION_data": "xyz789"
}
result = mask(data)
assert result["PASSWORD"] == "***"
assert result["Secret_Key"] == "***"
assert result["ENCRYPTION_data"] == "***"
def test_mask_key_patterns():
"""Test different key matching patterns (start, end, contains)"""
data = {
"password_hash": "hash123", # starts with
"user_password": "secret123", # ends with
"my_secret_key": "abc123", # contains with edges
"secretvalue": "xyz789", # contains without edges
"startsecretvalue": "xyz123", # contains without edges
"normal_key": "normal_value"
}
result = mask(data)
assert result["password_hash"] == "***"
assert result["user_password"] == "***"
assert result["my_secret_key"] == "***"
assert result["secretvalue"] == "***" # will mask beacuse starts with
assert result["startsecretvalue"] == "xyz123" # will not mask
assert result["normal_key"] == "normal_value"
def test_mask_custom_edges():
"""Test masking with custom edge characters"""
data = {
"my-secret-key": "abc123",
"my_secret_key": "xyz789"
}
result = mask(data, mask_str_edges="-")
assert result["my-secret-key"] == "***"
assert result["my_secret_key"] == "xyz789" # Underscore edges don't match
def test_mask_empty_edges():
"""Test masking with empty edge characters (substring matching)"""
data = {
"secretvalue": "abc123",
"mysecretkey": "xyz789",
"normal_key": "normal_value"
}
result = mask(data, mask_str_edges="")
assert result["secretvalue"] == "***"
assert result["mysecretkey"] == "***"
assert result["normal_key"] == "normal_value"
def test_mask_nested_dict():
"""Test masking nested dictionaries"""
data = {
"user": {
"name": "john",
"password": "secret123",
"profile": {
"email": "john@example.com",
"encryption_key": "abc123"
}
},
"api_secret": "xyz789"
}
result = mask(data)
assert result["user"]["name"] == "john"
assert result["user"]["password"] == "***"
assert result["user"]["profile"]["email"] == "john@example.com"
assert result["user"]["profile"]["encryption_key"] == "***"
assert result["api_secret"] == "***"
def test_mask_lists():
"""Test masking lists and nested structures with lists"""
data = {
"users": [
{"name": "john", "password": "secret1"},
{"name": "jane", "password": "secret2"}
],
"secrets": ["secret1", "secret2", "secret3"]
}
result = mask(data)
print(f"R {result['secrets']}")
assert result["users"][0]["name"] == "john"
assert result["users"][0]["password"] == "***"
assert result["users"][1]["name"] == "jane"
assert result["users"][1]["password"] == "***"
assert result["secrets"] == ["***", "***", "***"]
def test_mask_mixed_types():
"""Test masking with different value types"""
data = {
"password": "string_value",
"secret_number": 12345,
"encryption_flag": True,
"secret_float": 3.14,
"password_none": None,
"normal_key": "normal_value"
}
result = mask(data)
assert result["password"] == "***"
assert result["secret_number"] == "***"
assert result["encryption_flag"] == "***"
assert result["secret_float"] == "***"
assert result["password_none"] == "***"
assert result["normal_key"] == "normal_value"
def test_mask_skip_true():
"""Test that skip=True returns original data unchanged"""
data = {
"password": "secret123",
"encryption_key": "abc123",
"normal_key": "normal_value"
}
result = mask(data, skip=True)
assert result == data
assert result is data # Should return the same object
def test_mask_empty_dict():
"""Test masking empty dictionary"""
data: dict[str, Any] = {}
result = mask(data)
assert result == {}
def test_mask_none_mask_keys():
"""Test explicit None mask_keys uses defaults"""
data = {"password": "secret123", "token": "abc123"}
result = mask(data, mask_keys=None)
assert result["password"] == "***"
assert result["token"] == "abc123" # Not in default keys
def test_mask_empty_mask_keys():
"""Test empty mask_keys list"""
data = {"password": "secret123", "secret": "abc123"}
result = mask(data, mask_keys=[])
assert result["password"] == "secret123"
assert result["secret"] == "abc123"
def test_mask_complex_nested_structure():
"""Test masking complex nested structure"""
data = {
"config": {
"database": {
"host": "localhost",
"password": "db_secret",
"users": [
{"name": "admin", "password": "admin123"},
{"name": "user", "secret_key": "user456"}
]
},
"api": {
"endpoints": ["api1", "api2"],
"encryption_settings": {
"enabled": True,
"secret": "api_secret"
}
}
}
}
result = mask(data)
assert result["config"]["database"]["host"] == "localhost"
assert result["config"]["database"]["password"] == "***"
assert result["config"]["database"]["users"][0]["name"] == "admin"
assert result["config"]["database"]["users"][0]["password"] == "***"
assert result["config"]["database"]["users"][1]["name"] == "user"
assert result["config"]["database"]["users"][1]["secret_key"] == "***"
assert result["config"]["api"]["endpoints"] == ["api1", "api2"]
assert result["config"]["api"]["encryption_settings"]["enabled"] is True
assert result["config"]["api"]["encryption_settings"]["secret"] == "***"
def test_mask_preserves_original_data():
"""Test that original data is not modified"""
original_data = {
"password": "secret123",
"username": "john_doe"
}
data_copy = original_data.copy()
result = mask(original_data)
assert original_data == data_copy # Original unchanged
assert result != original_data # Result is different
assert result["password"] == "***"
assert original_data["password"] == "secret123"
@pytest.mark.parametrize("mask_key,expected_keys", [
(["pass"], ["password", "user_pass", "my_pass_key"]),
(["key"], ["api_key", "secret_key", "my_key_value"]),
(["token"], ["token", "auth_token", "my_token_here"]),
])
def test_mask_parametrized_keys(mask_key: list[str], expected_keys: list[str]):
"""Parametrized test for different mask key patterns"""
data = {key: "value" for key in expected_keys}
data["normal_entry"] = "normal_value"
result = mask(data, mask_keys=mask_key)
for key in expected_keys:
assert result[key] == "***"
assert result["normal_entry"] == "normal_value"

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@@ -1,565 +0,0 @@
"""
tests for corelibs.iterator_handling.fingerprint
"""
from typing import Any
import pytest
from corelibs.iterator_handling.fingerprint import dict_hash_frozen, dict_hash_crc, hash_object
class TestHashObject:
"""Tests for hash_object function"""
def test_hash_object_simple_dict(self):
"""Test hashing a simple dictionary with hash_object"""
data = {"key1": "value1", "key2": "value2"}
result = hash_object(data)
assert isinstance(result, str)
assert len(result) == 64 # SHA256 produces 64 hex characters
def test_hash_object_mixed_keys(self):
"""Test hash_object with mixed int and string keys"""
data = {"key1": "value1", 1: "value2", 2: "value3"}
result = hash_object(data)
assert isinstance(result, str)
assert len(result) == 64
def test_hash_object_consistency(self):
"""Test that hash_object produces consistent results"""
data = {"str_key": "value", 123: "number_key"}
hash1 = hash_object(data)
hash2 = hash_object(data)
assert hash1 == hash2
def test_hash_object_order_independence(self):
"""Test that hash_object is order-independent"""
data1 = {"a": 1, 1: "one", "b": 2, 2: "two"}
data2 = {2: "two", "b": 2, 1: "one", "a": 1}
hash1 = hash_object(data1)
hash2 = hash_object(data2)
assert hash1 == hash2
def test_hash_object_list_of_dicts_mixed_keys(self):
"""Test hash_object with list of dicts containing mixed keys"""
data = [
{"name": "item1", 1: "value1"},
{"name": "item2", 2: "value2"}
]
result = hash_object(data)
assert isinstance(result, str)
assert len(result) == 64
def test_hash_object_nested_mixed_keys(self):
"""Test hash_object with nested structures containing mixed keys"""
data = {
"outer": {
"inner": "value",
1: "mixed_key"
},
2: "another_mixed"
}
result = hash_object(data)
assert isinstance(result, str)
assert len(result) == 64
def test_hash_object_different_data(self):
"""Test that different data produces different hashes"""
data1 = {"key": "value", 1: "one"}
data2 = {"key": "value", 2: "two"}
hash1 = hash_object(data1)
hash2 = hash_object(data2)
assert hash1 != hash2
def test_hash_object_complex_nested(self):
"""Test hash_object with complex nested structures"""
data = {
"level1": {
"level2": {
1: "value",
"key": [1, 2, {"nested": "deep", 3: "int_key"}]
}
}
}
result = hash_object(data)
assert isinstance(result, str)
assert len(result) == 64
def test_hash_object_list_with_tuples(self):
"""Test hash_object with lists containing tuples"""
data = [("a", 1), ("b", 2), {1: "mixed", "key": "value"}]
result = hash_object(data)
assert isinstance(result, str)
assert len(result) == 64
class TestDictHashFrozen:
"""Tests for dict_hash_frozen function"""
def test_dict_hash_frozen_simple_dict(self):
"""Test hashing a simple dictionary"""
data = {"key1": "value1", "key2": "value2"}
result = dict_hash_frozen(data)
assert isinstance(result, int)
assert result != 0
def test_dict_hash_frozen_consistency(self):
"""Test that same dict produces same hash"""
data = {"name": "John", "age": 30, "city": "Tokyo"}
hash1 = dict_hash_frozen(data)
hash2 = dict_hash_frozen(data)
assert hash1 == hash2
def test_dict_hash_frozen_order_independence(self):
"""Test that dict order doesn't affect hash"""
data1 = {"a": 1, "b": 2, "c": 3}
data2 = {"c": 3, "a": 1, "b": 2}
hash1 = dict_hash_frozen(data1)
hash2 = dict_hash_frozen(data2)
assert hash1 == hash2
def test_dict_hash_frozen_empty_dict(self):
"""Test hashing an empty dictionary"""
data: dict[Any, Any] = {}
result = dict_hash_frozen(data)
assert isinstance(result, int)
def test_dict_hash_frozen_different_dicts(self):
"""Test that different dicts produce different hashes"""
data1 = {"key1": "value1"}
data2 = {"key2": "value2"}
hash1 = dict_hash_frozen(data1)
hash2 = dict_hash_frozen(data2)
assert hash1 != hash2
def test_dict_hash_frozen_various_types(self):
"""Test hashing dict with various value types"""
data = {
"string": "value",
"int": 42,
"float": 3.14,
"bool": True,
"none": None
}
result = dict_hash_frozen(data)
assert isinstance(result, int)
def test_dict_hash_frozen_numeric_keys(self):
"""Test hashing dict with numeric keys"""
data = {1: "one", 2: "two", 3: "three"}
result = dict_hash_frozen(data)
assert isinstance(result, int)
def test_dict_hash_frozen_tuple_values(self):
"""Test hashing dict with tuple values"""
data = {"coord1": (1, 2), "coord2": (3, 4)}
result = dict_hash_frozen(data)
assert isinstance(result, int)
def test_dict_hash_frozen_value_change_changes_hash(self):
"""Test that changing a value changes the hash"""
data1 = {"key": "value1"}
data2 = {"key": "value2"}
hash1 = dict_hash_frozen(data1)
hash2 = dict_hash_frozen(data2)
assert hash1 != hash2
class TestDictHashCrc:
"""Tests for dict_hash_crc function"""
def test_dict_hash_crc_simple_dict(self):
"""Test hashing a simple dictionary"""
data = {"key1": "value1", "key2": "value2"}
result = dict_hash_crc(data)
assert isinstance(result, str)
assert len(result) == 64 # SHA256 produces 64 hex characters
def test_dict_hash_crc_simple_list(self):
"""Test hashing a simple list"""
data = ["item1", "item2", "item3"]
result = dict_hash_crc(data)
assert isinstance(result, str)
assert len(result) == 64
def test_dict_hash_crc_consistency_dict(self):
"""Test that same dict produces same hash"""
data = {"name": "John", "age": 30, "city": "Tokyo"}
hash1 = dict_hash_crc(data)
hash2 = dict_hash_crc(data)
assert hash1 == hash2
def test_dict_hash_crc_consistency_list(self):
"""Test that same list produces same hash"""
data = [1, 2, 3, 4, 5]
hash1 = dict_hash_crc(data)
hash2 = dict_hash_crc(data)
assert hash1 == hash2
def test_dict_hash_crc_order_independence_dict(self):
"""Test that dict order doesn't affect hash (sort_keys=True)"""
data1 = {"a": 1, "b": 2, "c": 3}
data2 = {"c": 3, "a": 1, "b": 2}
hash1 = dict_hash_crc(data1)
hash2 = dict_hash_crc(data2)
assert hash1 == hash2
def test_dict_hash_crc_order_dependence_list(self):
"""Test that list order affects hash"""
data1 = [1, 2, 3]
data2 = [3, 2, 1]
hash1 = dict_hash_crc(data1)
hash2 = dict_hash_crc(data2)
assert hash1 != hash2
def test_dict_hash_crc_empty_dict(self):
"""Test hashing an empty dictionary"""
data: dict[Any, Any] = {}
result = dict_hash_crc(data)
assert isinstance(result, str)
assert len(result) == 64
def test_dict_hash_crc_empty_list(self):
"""Test hashing an empty list"""
data: list[Any] = []
result = dict_hash_crc(data)
assert isinstance(result, str)
assert len(result) == 64
def test_dict_hash_crc_different_dicts(self):
"""Test that different dicts produce different hashes"""
data1 = {"key1": "value1"}
data2 = {"key2": "value2"}
hash1 = dict_hash_crc(data1)
hash2 = dict_hash_crc(data2)
assert hash1 != hash2
def test_dict_hash_crc_different_lists(self):
"""Test that different lists produce different hashes"""
data1 = ["item1", "item2"]
data2 = ["item3", "item4"]
hash1 = dict_hash_crc(data1)
hash2 = dict_hash_crc(data2)
assert hash1 != hash2
def test_dict_hash_crc_nested_dict(self):
"""Test hashing nested dictionaries"""
data = {
"user": {
"name": "John",
"address": {
"city": "Tokyo",
"country": "Japan"
}
}
}
result = dict_hash_crc(data)
assert isinstance(result, str)
assert len(result) == 64
def test_dict_hash_crc_nested_list(self):
"""Test hashing nested lists"""
data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
result = dict_hash_crc(data)
assert isinstance(result, str)
assert len(result) == 64
def test_dict_hash_crc_mixed_nested(self):
"""Test hashing mixed nested structures"""
data = {
"items": [1, 2, 3],
"meta": {
"count": 3,
"tags": ["a", "b", "c"]
}
}
result = dict_hash_crc(data)
assert isinstance(result, str)
assert len(result) == 64
def test_dict_hash_crc_various_types_dict(self):
"""Test hashing dict with various value types"""
data = {
"string": "value",
"int": 42,
"float": 3.14,
"bool": True,
"none": None,
"list": [1, 2, 3],
"nested_dict": {"inner": "value"}
}
result = dict_hash_crc(data)
assert isinstance(result, str)
assert len(result) == 64
def test_dict_hash_crc_various_types_list(self):
"""Test hashing list with various value types"""
data = ["string", 42, 3.14, True, None, [1, 2], {"key": "value"}]
result = dict_hash_crc(data)
assert isinstance(result, str)
assert len(result) == 64
def test_dict_hash_crc_value_change_changes_hash(self):
"""Test that changing a value changes the hash"""
data1 = {"key": "value1"}
data2 = {"key": "value2"}
hash1 = dict_hash_crc(data1)
hash2 = dict_hash_crc(data2)
assert hash1 != hash2
def test_dict_hash_crc_hex_format(self):
"""Test that hash is in hexadecimal format"""
data = {"test": "data"}
result = dict_hash_crc(data)
# All characters should be valid hex
assert all(c in "0123456789abcdef" for c in result)
def test_dict_hash_crc_unicode_handling(self):
"""Test hashing dict with unicode characters"""
data = {
"japanese": "日本語",
"emoji": "🎉",
"chinese": "中文"
}
result = dict_hash_crc(data)
assert isinstance(result, str)
assert len(result) == 64
def test_dict_hash_crc_special_characters(self):
"""Test hashing dict with special characters"""
data = {
"quotes": "\"quoted\"",
"newline": "line1\nline2",
"tab": "col1\tcol2",
"backslash": "path\\to\\file"
}
result = dict_hash_crc(data)
assert isinstance(result, str)
assert len(result) == 64
def test_dict_hash_crc_fallback_mixed_keys(self):
"""Test dict_hash_crc fallback with mixed int and string keys"""
data = {"key1": "value1", 1: "value2", 2: "value3"}
result = dict_hash_crc(data)
assert isinstance(result, str)
# Fallback prefixes with "HO_"
assert result.startswith("HO_")
# Hash should be 64 chars + 3 char prefix = 67 total
assert len(result) == 67
def test_dict_hash_crc_fallback_consistency(self):
"""Test that fallback produces consistent hashes"""
data = {"str_key": "value", 123: "number_key", 456: "another"}
hash1 = dict_hash_crc(data)
hash2 = dict_hash_crc(data)
assert hash1 == hash2
assert hash1.startswith("HO_")
def test_dict_hash_crc_fallback_order_independence(self):
"""Test that fallback is order-independent for mixed-key dicts"""
data1 = {"a": 1, 1: "one", "b": 2, 2: "two"}
data2 = {2: "two", "b": 2, 1: "one", "a": 1}
hash1 = dict_hash_crc(data1)
hash2 = dict_hash_crc(data2)
assert hash1 == hash2
assert hash1.startswith("HO_")
def test_dict_hash_crc_fallback_list_of_dicts_mixed_keys(self):
"""Test fallback with list of dicts containing mixed keys"""
data = [
{"name": "item1", 1: "value1"},
{"name": "item2", 2: "value2"},
{3: "value3", "type": "mixed"}
]
result = dict_hash_crc(data)
assert isinstance(result, str)
assert result.startswith("HO_")
assert len(result) == 67
def test_dict_hash_crc_fallback_nested_mixed_keys(self):
"""Test fallback with nested dicts containing mixed keys"""
data = {
"outer": {
"inner": "value",
1: "mixed_key"
},
2: "another_mixed"
}
result = dict_hash_crc(data)
assert isinstance(result, str)
assert result.startswith("HO_")
assert len(result) == 67
def test_dict_hash_crc_fallback_different_data(self):
"""Test that different mixed-key data produces different hashes"""
data1 = {"key": "value", 1: "one"}
data2 = {"key": "value", 2: "two"}
hash1 = dict_hash_crc(data1)
hash2 = dict_hash_crc(data2)
assert hash1 != hash2
assert hash1.startswith("HO_")
assert hash2.startswith("HO_")
def test_dict_hash_crc_fallback_complex_structure(self):
"""Test fallback with complex nested structure with mixed keys"""
data = [
{
"id": 1,
1: "first",
"data": {
"nested": "value",
100: "nested_int_key"
}
},
{
"id": 2,
2: "second",
"items": [1, 2, 3]
}
]
result = dict_hash_crc(data)
assert isinstance(result, str)
assert result.startswith("HO_")
assert len(result) == 67
def test_dict_hash_crc_no_fallback_string_keys_only(self):
"""Test that string-only keys don't trigger fallback"""
data = {"key1": "value1", "key2": "value2", "key3": "value3"}
result = dict_hash_crc(data)
assert isinstance(result, str)
assert not result.startswith("HO_")
assert len(result) == 64
def test_dict_hash_crc_no_fallback_int_keys_only(self):
"""Test that int-only keys don't trigger fallback"""
data = {1: "one", 2: "two", 3: "three"}
result = dict_hash_crc(data)
assert isinstance(result, str)
assert not result.startswith("HO_")
assert len(result) == 64
class TestComparisonBetweenHashFunctions:
"""Tests comparing dict_hash_frozen and dict_hash_crc"""
def test_both_functions_are_deterministic(self):
"""Test that both functions produce consistent results"""
data = {"a": 1, "b": 2, "c": 3}
frozen_hash1 = dict_hash_frozen(data)
frozen_hash2 = dict_hash_frozen(data)
crc_hash1 = dict_hash_crc(data)
crc_hash2 = dict_hash_crc(data)
assert frozen_hash1 == frozen_hash2
assert crc_hash1 == crc_hash2
def test_both_functions_handle_empty_dict(self):
"""Test that both functions can hash empty dict"""
data: dict[Any, Any] = {}
frozen_result = dict_hash_frozen(data)
crc_result = dict_hash_crc(data)
assert isinstance(frozen_result, int)
assert isinstance(crc_result, str)
def test_both_functions_detect_changes(self):
"""Test that both functions detect value changes"""
data1 = {"key": "value1"}
data2 = {"key": "value2"}
frozen_hash1 = dict_hash_frozen(data1)
frozen_hash2 = dict_hash_frozen(data2)
crc_hash1 = dict_hash_crc(data1)
crc_hash2 = dict_hash_crc(data2)
assert frozen_hash1 != frozen_hash2
assert crc_hash1 != crc_hash2
def test_both_functions_handle_order_independence(self):
"""Test that both functions are order-independent for dicts"""
data1 = {"x": 10, "y": 20, "z": 30}
data2 = {"z": 30, "x": 10, "y": 20}
frozen_hash1 = dict_hash_frozen(data1)
frozen_hash2 = dict_hash_frozen(data2)
crc_hash1 = dict_hash_crc(data1)
crc_hash2 = dict_hash_crc(data2)
assert frozen_hash1 == frozen_hash2
assert crc_hash1 == crc_hash2
@pytest.mark.parametrize("data,expected_type,expected_length", [
({"key": "value"}, str, 64),
([1, 2, 3], str, 64),
({"nested": {"key": "value"}}, str, 64),
([[1, 2], [3, 4]], str, 64),
({}, str, 64),
([], str, 64),
])
def test_dict_hash_crc_parametrized(data: dict[Any, Any] | list[Any], expected_type: type, expected_length: int):
"""Parametrized test for dict_hash_crc with various inputs"""
result = dict_hash_crc(data)
assert isinstance(result, expected_type)
assert len(result) == expected_length
@pytest.mark.parametrize("data", [
{"key": "value"},
{"a": 1, "b": 2},
{"x": 10, "y": 20, "z": 30},
{},
])
def test_dict_hash_frozen_parametrized(data: dict[Any, Any]):
"""Parametrized test for dict_hash_frozen with various inputs"""
result = dict_hash_frozen(data)
assert isinstance(result, int)

View File

@@ -1,522 +0,0 @@
"""
iterator_handling.list_helepr tests
"""
from typing import Any
import pytest
from corelibs.iterator_handling.list_helpers import convert_to_list, is_list_in_list, make_unique_list_of_dicts
class TestConvertToList:
"""Test cases for convert_to_list function"""
def test_string_input(self):
"""Test with string inputs"""
assert convert_to_list("hello") == ["hello"]
assert convert_to_list("") == [""]
assert convert_to_list("123") == ["123"]
assert convert_to_list("true") == ["true"]
def test_integer_input(self):
"""Test with integer inputs"""
assert convert_to_list(42) == [42]
assert convert_to_list(0) == [0]
assert convert_to_list(-10) == [-10]
assert convert_to_list(999999) == [999999]
def test_float_input(self):
"""Test with float inputs"""
assert convert_to_list(3.14) == [3.14]
assert convert_to_list(0.0) == [0.0]
assert convert_to_list(-2.5) == [-2.5]
assert convert_to_list(1.0) == [1.0]
def test_boolean_input(self):
"""Test with boolean inputs"""
assert convert_to_list(True) == [True]
assert convert_to_list(False) == [False]
def test_list_input_unchanged(self):
"""Test that list inputs are returned unchanged"""
# String lists
str_list = ["a", "b", "c"]
assert convert_to_list(str_list) == str_list
assert convert_to_list(str_list) is str_list # Same object reference
# Integer lists
int_list = [1, 2, 3]
assert convert_to_list(int_list) == int_list
assert convert_to_list(int_list) is int_list
# Float lists
float_list = [1.1, 2.2, 3.3]
assert convert_to_list(float_list) == float_list
assert convert_to_list(float_list) is float_list
# Boolean lists
bool_list = [True, False, True]
assert convert_to_list(bool_list) == bool_list
assert convert_to_list(bool_list) is bool_list
# Mixed lists
mixed_list = [1, "hello", 3.14, True]
assert convert_to_list(mixed_list) == mixed_list
assert convert_to_list(mixed_list) is mixed_list
# Empty list
empty_list: list[int] = []
assert convert_to_list(empty_list) == empty_list
assert convert_to_list(empty_list) is empty_list
def test_nested_lists(self):
"""Test with nested lists (should still return the same list)"""
nested_list: list[list[int]] = [[1, 2], [3, 4]]
assert convert_to_list(nested_list) == nested_list
assert convert_to_list(nested_list) is nested_list
def test_single_element_lists(self):
"""Test with single element lists"""
single_str = ["hello"]
assert convert_to_list(single_str) == single_str
assert convert_to_list(single_str) is single_str
single_int = [42]
assert convert_to_list(single_int) == single_int
assert convert_to_list(single_int) is single_int
class TestIsListInList:
"""Test cases for is_list_in_list function"""
def test_string_lists(self):
"""Test with string lists"""
list_a = ["a", "b", "c", "d"]
list_b = ["b", "d", "e"]
result = is_list_in_list(list_a, list_b)
assert set(result) == {"a", "c"}
assert isinstance(result, list)
def test_integer_lists(self):
"""Test with integer lists"""
list_a = [1, 2, 3, 4, 5]
list_b = [2, 4, 6]
result = is_list_in_list(list_a, list_b)
assert set(result) == {1, 3, 5}
assert isinstance(result, list)
def test_float_lists(self):
"""Test with float lists"""
list_a = [1.1, 2.2, 3.3, 4.4]
list_b = [2.2, 4.4, 5.5]
result = is_list_in_list(list_a, list_b)
assert set(result) == {1.1, 3.3}
assert isinstance(result, list)
def test_boolean_lists(self):
"""Test with boolean lists"""
list_a = [True, False, True]
list_b = [True]
result = is_list_in_list(list_a, list_b)
assert set(result) == {False}
assert isinstance(result, list)
def test_mixed_type_lists(self):
"""Test with mixed type lists"""
list_a = [1, "hello", 3.14, True, "world"]
list_b = ["hello", True, 42]
result = is_list_in_list(list_a, list_b)
assert set(result) == {1, 3.14, "world"}
assert isinstance(result, list)
def test_empty_lists(self):
"""Test with empty lists"""
# Empty list_a
assert is_list_in_list([], [1, 2, 3]) == []
# Empty list_b
list_a = [1, 2, 3]
result = is_list_in_list(list_a, [])
assert set(result) == {1, 2, 3}
# Both empty
assert is_list_in_list([], []) == []
def test_no_common_elements(self):
"""Test when lists have no common elements"""
list_a = [1, 2, 3]
list_b = [4, 5, 6]
result = is_list_in_list(list_a, list_b)
assert set(result) == {1, 2, 3}
def test_all_elements_common(self):
"""Test when all elements in list_a are in list_b"""
list_a = [1, 2, 3]
list_b = [1, 2, 3, 4, 5]
result = is_list_in_list(list_a, list_b)
assert result == []
def test_identical_lists(self):
"""Test with identical lists"""
list_a = [1, 2, 3]
list_b = [1, 2, 3]
result = is_list_in_list(list_a, list_b)
assert result == []
def test_duplicate_elements(self):
"""Test with duplicate elements in lists"""
list_a = [1, 2, 2, 3, 3, 3]
list_b = [2, 4]
result = is_list_in_list(list_a, list_b)
# Should return unique elements only (set behavior)
assert set(result) == {1, 3}
assert isinstance(result, list)
def test_list_b_larger_than_list_a(self):
"""Test when list_b is larger than list_a"""
list_a = [1, 2]
list_b = [2, 3, 4, 5, 6, 7, 8]
result = is_list_in_list(list_a, list_b)
assert set(result) == {1}
def test_order_independence(self):
"""Test that order doesn't matter due to set operations"""
list_a = [3, 1, 4, 1, 5]
list_b = [1, 2, 6]
result = is_list_in_list(list_a, list_b)
assert set(result) == {3, 4, 5}
# Parametrized tests for more comprehensive coverage
class TestParametrized:
"""Parametrized tests for better coverage"""
@pytest.mark.parametrize("input_value,expected", [
("hello", ["hello"]),
(42, [42]),
(3.14, [3.14]),
(True, [True]),
(False, [False]),
("", [""]),
(0, [0]),
(0.0, [0.0]),
(-1, [-1]),
(-2.5, [-2.5]),
])
def test_convert_to_list_parametrized(self, input_value: Any, expected: Any):
"""Test convert_to_list with various single values"""
assert convert_to_list(input_value) == expected
@pytest.mark.parametrize("input_list", [
[1, 2, 3],
["a", "b", "c"],
[1.1, 2.2, 3.3],
[True, False],
[1, "hello", 3.14, True],
[],
[42],
[[1, 2], [3, 4]],
])
def test_convert_to_list_with_lists_parametrized(self, input_list: Any):
"""Test convert_to_list with various list inputs"""
result = convert_to_list(input_list)
assert result == input_list
assert result is input_list # Same object reference
@pytest.mark.parametrize("list_a,list_b,expected_set", [
([1, 2, 3], [2], {1, 3}),
(["a", "b", "c"], ["b", "d"], {"a", "c"}),
([1, 2, 3], [4, 5, 6], {1, 2, 3}),
([1, 2, 3], [1, 2, 3], set[int]()),
([], [1, 2, 3], set[int]()),
([1, 2, 3], [], {1, 2, 3}),
([True, False], [True], {False}),
([1.1, 2.2, 3.3], [2.2], {1.1, 3.3}),
])
def test_is_list_in_list_parametrized(self, list_a: list[Any], list_b: list[Any], expected_set: Any):
"""Test is_list_in_list with various input combinations"""
result = is_list_in_list(list_a, list_b)
assert set(result) == expected_set
assert isinstance(result, list)
# Edge cases and special scenarios
class TestEdgeCases:
"""Test edge cases and special scenarios"""
def test_convert_to_list_with_none_like_values(self):
"""Test convert_to_list with None-like values (if function supports them)"""
# Note: Based on type hints, None is not supported, but testing behavior
# This test might need to be adjusted based on actual function behavior
# pass
def test_is_list_in_list_preserves_type_distinctions(self):
"""Test that different types are treated as different"""
list_a = [1, "1", 1.0, True]
list_b = [1] # Only integer 1
result = is_list_in_list(list_a, list_b)
# Note: This test depends on how Python's set handles type equality
# 1, 1.0, and True are considered equal in sets
# "1" is different from 1
# expected_items = {"1"} # String "1" should remain
assert "1" in result
assert isinstance(result, list)
def test_large_lists(self):
"""Test with large lists"""
large_list_a = list(range(1000))
large_list_b = list(range(500, 1500))
result = is_list_in_list(large_list_a, large_list_b)
expected = list(range(500)) # 0 to 499
assert set(result) == set(expected)
def test_memory_efficiency(self):
"""Test that convert_to_list doesn't create unnecessary copies"""
original_list = [1, 2, 3, 4, 5]
result = convert_to_list(original_list)
# Should be the same object, not a copy
assert result is original_list
# Modifying the original should affect the result
original_list.append(6)
assert 6 in result
# Performance tests (optional)
class TestPerformance:
"""Performance-related tests"""
def test_is_list_in_list_with_duplicates_performance(self):
"""Test that function handles duplicates efficiently"""
# List with many duplicates
list_a = [1, 2, 3] * 100 # 300 elements, many duplicates
list_b = [2] * 50 # 50 elements, all the same
result = is_list_in_list(list_a, list_b)
# Should still work correctly despite duplicates
assert set(result) == {1, 3}
assert isinstance(result, list)
class TestMakeUniqueListOfDicts:
"""Test cases for make_unique_list_of_dicts function"""
def test_basic_duplicate_removal(self):
"""Test basic removal of duplicate dictionaries"""
dict_list = [
{"a": 1, "b": 2},
{"a": 1, "b": 2},
{"a": 3, "b": 4}
]
result = make_unique_list_of_dicts(dict_list)
assert len(result) == 2
assert {"a": 1, "b": 2} in result
assert {"a": 3, "b": 4} in result
def test_order_independent_duplicates(self):
"""Test that dictionaries with different key orders are treated as duplicates"""
dict_list = [
{"a": 1, "b": 2},
{"b": 2, "a": 1}, # Same content, different order
{"a": 3, "b": 4}
]
result = make_unique_list_of_dicts(dict_list)
assert len(result) == 2
assert {"a": 1, "b": 2} in result
assert {"a": 3, "b": 4} in result
def test_empty_list(self):
"""Test with empty list"""
result = make_unique_list_of_dicts([])
assert result == []
assert isinstance(result, list)
def test_single_dict(self):
"""Test with single dictionary"""
dict_list = [{"a": 1, "b": 2}]
result = make_unique_list_of_dicts(dict_list)
assert result == [{"a": 1, "b": 2}]
def test_all_unique(self):
"""Test when all dictionaries are unique"""
dict_list = [
{"a": 1},
{"b": 2},
{"c": 3},
{"d": 4}
]
result = make_unique_list_of_dicts(dict_list)
assert len(result) == 4
for d in dict_list:
assert d in result
def test_all_duplicates(self):
"""Test when all dictionaries are duplicates"""
dict_list = [
{"a": 1, "b": 2},
{"a": 1, "b": 2},
{"a": 1, "b": 2},
{"b": 2, "a": 1}
]
result = make_unique_list_of_dicts(dict_list)
assert len(result) == 1
assert result[0] == {"a": 1, "b": 2}
def test_nested_values(self):
"""Test with nested structures as values"""
dict_list = [
{"a": [1, 2], "b": 3},
{"a": [1, 2], "b": 3},
{"a": [1, 3], "b": 3}
]
result = make_unique_list_of_dicts(dict_list)
assert len(result) == 2
assert {"a": [1, 2], "b": 3} in result
assert {"a": [1, 3], "b": 3} in result
def test_different_value_types(self):
"""Test with different value types"""
dict_list = [
{"str": "hello", "int": 42, "float": 3.14, "bool": True},
{"str": "hello", "int": 42, "float": 3.14, "bool": True},
{"str": "world", "int": 99, "float": 2.71, "bool": False}
]
result = make_unique_list_of_dicts(dict_list)
assert len(result) == 2
def test_empty_dicts(self):
"""Test with empty dictionaries"""
dict_list: list[Any] = [
{},
{},
{"a": 1}
]
result = make_unique_list_of_dicts(dict_list)
assert len(result) == 2
assert {} in result
assert {"a": 1} in result
def test_single_key_dicts(self):
"""Test with single key dictionaries"""
dict_list = [
{"a": 1},
{"a": 1},
{"a": 2},
{"b": 1}
]
result = make_unique_list_of_dicts(dict_list)
assert len(result) == 3
assert {"a": 1} in result
assert {"a": 2} in result
assert {"b": 1} in result
def test_many_keys(self):
"""Test with dictionaries containing many keys"""
dict1 = {"a": 1, "b": 2, "c": 3, "d": 4, "e": 5}
dict2 = {"e": 5, "d": 4, "c": 3, "b": 2, "a": 1} # Same, different order
dict3 = {"a": 1, "b": 2, "c": 3, "d": 4, "e": 6} # Different value
dict_list = [dict1, dict2, dict3]
result = make_unique_list_of_dicts(dict_list)
assert len(result) == 2
def test_numeric_keys(self):
"""Test with numeric keys"""
dict_list = [
{1: "one", 2: "two"},
{2: "two", 1: "one"},
{1: "one", 2: "three"}
]
result = make_unique_list_of_dicts(dict_list)
assert len(result) == 2
def test_none_values(self):
"""Test with None values"""
dict_list = [
{"a": None, "b": 2},
{"a": None, "b": 2},
{"a": 1, "b": None}
]
result = make_unique_list_of_dicts(dict_list)
assert len(result) == 2
assert {"a": None, "b": 2} in result
assert {"a": 1, "b": None} in result
def test_mixed_key_types(self):
"""Test with mixed key types (string and numeric)"""
dict_list = [
{"a": 1, 1: "one"},
{1: "one", "a": 1},
{"a": 2, 1: "one"}
]
result = make_unique_list_of_dicts(dict_list)
assert len(result) == 2
@pytest.mark.parametrize("dict_list,expected_length", [
([{"a": 1}, {"a": 1}, {"a": 1}], 1),
([{"a": 1}, {"a": 2}, {"a": 3}], 3),
([{"a": 1, "b": 2}, {"b": 2, "a": 1}], 1),
([{}, {}], 1),
([{"x": [1, 2]}, {"x": [1, 2]}], 1),
([{"a": 1}, {"b": 2}, {"c": 3}], 3),
]) # pyright: ignore[reportUnknownArgumentType]
def test_parametrized_unique_dicts(self, dict_list: list[Any], expected_length: int):
"""Test make_unique_list_of_dicts with various input combinations"""
result = make_unique_list_of_dicts(dict_list)
assert len(result) == expected_length
assert isinstance(result, list)
def test_large_list(self):
"""Test with a large list of dictionaries"""
dict_list = [{"id": i % 100, "value": f"val_{i % 100}"} for i in range(1000)]
result = make_unique_list_of_dicts(dict_list)
# Should have 100 unique dicts (0-99)
assert len(result) == 100
def test_preserves_last_occurrence(self):
"""Test behavior with duplicate entries"""
# The function uses dict comprehension, which keeps last occurrence
dict_list = [
{"a": 1, "b": 2},
{"a": 3, "b": 4},
{"a": 1, "b": 2}
]
result = make_unique_list_of_dicts(dict_list)
assert len(result) == 2
# Just verify correct unique count, order may vary
def test_nested_dicts(self):
"""Test with nested dictionaries"""
dict_list = [
{"outer": {"inner": 1}},
{"outer": {"inner": 1}},
{"outer": {"inner": 2}}
]
result = make_unique_list_of_dicts(dict_list)
assert len(result) == 2
def test_string_values_case_sensitive(self):
"""Test that string values are case-sensitive"""
dict_list = [
{"name": "John"},
{"name": "john"},
{"name": "JOHN"},
{"name": "John"}
]
result = make_unique_list_of_dicts(dict_list)
assert len(result) == 3
def test_boolean_values(self):
"""Test with boolean values"""
dict_list = [
{"flag": True, "count": 1},
{"count": 1, "flag": True},
{"flag": False, "count": 1}
]
result = make_unique_list_of_dicts(dict_list)
assert len(result) == 2
assert {"flag": True, "count": 1} in result
assert {"flag": False, "count": 1} in result
# __END__

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@@ -1,121 +0,0 @@
"""
Unit tests for math_helpers module
"""
from corelibs.math_handling.math_helpers import gcd, lcd
class TestGcd:
"""Test cases for the gcd (Greatest Common Divisor) function"""
def test_gcd_basic_positive_numbers(self):
"""Test GCD with basic positive numbers"""
assert gcd(12, 8) == 4
assert gcd(15, 10) == 5
assert gcd(21, 14) == 7
def test_gcd_coprime_numbers(self):
"""Test GCD with coprime numbers (GCD should be 1)"""
assert gcd(13, 7) == 1
assert gcd(17, 19) == 1
assert gcd(25, 49) == 1
def test_gcd_same_numbers(self):
"""Test GCD with same numbers"""
assert gcd(5, 5) == 5
assert gcd(100, 100) == 100
def test_gcd_with_zero(self):
"""Test GCD when one or both numbers are zero"""
assert gcd(0, 5) == 5
assert gcd(5, 0) == 5
assert gcd(0, 0) == 0
def test_gcd_with_one(self):
"""Test GCD when one number is 1"""
assert gcd(1, 5) == 1
assert gcd(100, 1) == 1
def test_gcd_large_numbers(self):
"""Test GCD with large numbers"""
assert gcd(1000000, 500000) == 500000
assert gcd(123456, 789012) == 12
def test_gcd_reversed_order(self):
"""Test GCD is commutative (order doesn't matter)"""
assert gcd(12, 8) == gcd(8, 12)
assert gcd(100, 35) == gcd(35, 100)
def test_gcd_negative_numbers(self):
"""Test GCD with negative numbers"""
assert gcd(-12, 8) == 4
assert gcd(12, -8) == 4
assert gcd(-12, -8) == 4
def test_gcd_multiples(self):
"""Test GCD when one number is a multiple of the other"""
assert gcd(10, 5) == 5
assert gcd(100, 25) == 25
assert gcd(7, 21) == 7
class TestLcd:
"""Test cases for the lcd (Least Common Denominator/Multiple) function"""
def test_lcd_basic_positive_numbers(self):
"""Test LCD with basic positive numbers"""
assert lcd(4, 6) == 12
assert lcd(3, 5) == 15
assert lcd(12, 8) == 24
def test_lcd_coprime_numbers(self):
"""Test LCD with coprime numbers (should be their product)"""
assert lcd(7, 13) == 91
assert lcd(11, 13) == 143
assert lcd(5, 7) == 35
def test_lcd_same_numbers(self):
"""Test LCD with same numbers"""
assert lcd(5, 5) == 5
assert lcd(100, 100) == 100
def test_lcd_with_one(self):
"""Test LCD when one number is 1"""
assert lcd(1, 5) == 5
assert lcd(100, 1) == 100
def test_lcd_with_zero(self):
"""Test LCD when one or both numbers are zero"""
assert lcd(0, 5) == 0
assert lcd(5, 0) == 0
assert lcd(0, 0) == 0
def test_lcd_large_numbers(self):
"""Test LCD with large numbers"""
assert lcd(100, 150) == 300
assert lcd(1000, 500) == 1000
def test_lcd_reversed_order(self):
"""Test LCD is commutative (order doesn't matter)"""
assert lcd(4, 6) == lcd(6, 4)
assert lcd(12, 18) == lcd(18, 12)
def test_lcd_negative_numbers(self):
"""Test LCD with negative numbers"""
assert lcd(-4, 6) == 12
assert lcd(4, -6) == 12
assert lcd(-4, -6) == 12
def test_lcd_multiples(self):
"""Test LCD when one number is a multiple of the other"""
assert lcd(5, 10) == 10
assert lcd(3, 9) == 9
assert lcd(25, 100) == 100
def test_lcd_gcd_relationship(self):
"""Test the mathematical relationship between LCD and GCD: lcd(a,b) * gcd(a,b) = a * b"""
test_cases = [(12, 8), (15, 10), (21, 14), (100, 35)]
for a, b in test_cases:
assert lcd(a, b) * gcd(a, b) == a * b
# __END__